Infinite Machine Learning: Recent Episodes
Prateek Joshi
Infinite Machine Learning is a podcast that brings you conversations with amazing leaders in machine learning. The host, Prateek Joshi, explores how they built their careers and how they approach building products. You can discover how to get hired by world's top ML teams by listening to what they are looking for in their future teammates. The goal of this podcast is to provide actionable advice on how to grow your career.
Benny Chen is the cofounder of Fireworks AI, an AI infrastructure platform. They have raised $327M in funding from Benchmark, Sequoia, Lightspeed, Index, and others.
Benny's favorite book: Principles (Author: Ray Dalio)
(00:01) Intro and why AI infrastructure is having a moment
(00:06) Training vs inference: what’s working and where the real bottlenecks are
(01:25) Why inference is the hard problem in production
(03:30) What breaks at scale when AI systems hit real users
(05:29) GPUs, hardware constraints, and why power is now a first-class concern
(06:02) What you’re actually paying for in inference
(07:21) Reliability, compliance, and enterprise expectations
(09:49) Training and inference capacity: when they blur together
(11:06) How to make inference fast in practice
(13:06) System design choices behind modern inference platforms
(15:28) Inference economics and cost tradeoffs
(18:02) When fine-tuning actually makes sense
(21:58) What “best model” really means for real companies
(24:25) Production LLM architectures that actually work
(27:46) Building an AI infra company customers can trust
(29:27) Shipping fast without breaking reliability
(31:14) Go-to-market lessons for infra startups
(34:17) Where inference platforms are heading next
(36:32) Rapid fire round
Where to find Benny Chen:
LinkedIn: https://www.linkedin.com/in/benny-yufei-chen-2238575a/
Where to find Prateek Joshi:
Website: https://prateekj.com
Research Column: https://www.infrastartups.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekj
Surojit Chatterjee is CEO of Ema, an agent platform build AI employees. They have raised $61M in funding from Accel, Section 32, and others. Before Ema, he was the chief product officer at Coinbase. And before that, a VP at Google.
Surojit's favorite book: Man's Search for Meaning (Author: Viktor Frankl)
(00:01) Welcome
(00:07) Defining the “AI Employee”
(02:23) Lessons from Google: Building for Scale
(06:59) Coinbase CPO: Hypergrowth & Product Leadership
(09:24) Market Framing: Why “AI Employee” vs Copilot
(14:29) Platform Building Blocks (Agents, Orchestrator, Fusion, Governance)
(19:26) Trust, Security, and On-Prem Deployment
(23:11) Model of Models: How Fusion Picks & Combines LLMs
(29:10) What Infra Is Still Missing (Eval at Scale, Speed)
(32:10) Rapid Fire Round
Where to find Surojit Chatterjee:
LinkedIn: https://www.linkedin.com/in/surojitchatterjee/
Where to find Prateek Joshi:
Website: https://prateekj.com
Research Column: https://www.infrastartups.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekj
Rishi Bhargava is CEO of Descope, an identity management platform for customers and AI agents. They've raised $88M in funding from investors such as Notable Capital, Lightspeed, Unusual Ventures. The two previous he founded were acquired by Palo Alto Networks and McAfee.
(00:01) Introduction
(00:08) Origin story: why identity and passwords needed a rethink
(02:59) Passwords vs passkeys explained in plain English
(05:06) Why logging in is still painful (and why passwords persist)
(09:06) Account takeovers explained: how hacks actually happen
(11:59) Building security products: philosophy vs regular software
(14:24) The ideal login experience: from frustration to seamless access
(16:40) What is an AI agent? Defining agent identity simply
(21:54) Good bots vs bad bots: trust, access, and control in an agent world
(25:03) Breaches and blast radius: security before vs after Descope
(27:55) Company building lessons from Demisto to Descope
(30:15) AI trends that matter most for enterprise products
(32:40) Rapid Fire Round
Where to find Rishi Bhargava:
LinkedIn: https://www.linkedin.com/in/bhargavarishi/
Where to find Prateek Joshi:
Website: https://prateekj.com
Research Column: https://www.infrastartups.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekj
Gou Rao is CEO of NeuBird, an agentic AI Site Reliability Engineer for IT teams. They've raised $44.5 Million from Mayfield and M12. He was previously the CTO of Citrix and Portworx.
(00:01) Introduction
(01:07) What Does an SRE Do?
(02:19) Inside a Typical Incident Flow
(04:16) What Can Be Automated?
(05:52) Deploying Hawkeye: Day 1 to Day 100
(11:59) Earning Trust for Autonomous Agents
(14:57) Versioning Agent Behavior & Chain of Thought
(17:02) Building Agentic Infra Products
(18:38) Access Control for Agents
(20:29) Company Building in the AI Era
(23:53) Competitive Edge in AI + Infra
(26:35) Model Choice & Agent Reasoning Quality
(29:33) Biggest Product Bet
(31:22) Exciting AI Advancements
(33:04) Rapid Fire Round
Where to find Gou Rao:
LinkedIn: https://www.linkedin.com/in/gouthamrao/
Where to find Prateek Joshi:
Research Column: https://www.infrastartups.com
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekj
Brian Moore is CEO of Voxel51, a data infra platform for visual AI. They most recently raised a $30M Series B led by Bessemer.
Brian's favorite books: Trillion Dollar Coach (Author: Eric Schmidt, Jonathan Rosenberg, and Alan Eagle)
(00:01) Introduction and setup
(00:22) Defining visual AI — beyond traditional computer vision
(02:14) Why visual data is so hard to manage
(04:17) Common “gotchas” in image and video datasets
(06:43) Is it a data problem or a model problem?
(09:41) The importance of edge cases and scenario analysis
(10:46) Coverage and handling rare events in datasets
(13:35) Using synthetic data and foundation models to fill data gaps
(14:25) The origin story of Voxel51 and the birth of FiftyOne
(17:56) Open source strategy and community growth
(19:31) Handling massive visual datasets — storage best practices
(22:03) Cost vs. quality tradeoffs in video storage
(23:54) Cleaning and indexing messy datasets
(25:49) Measuring real progress — beyond simple metrics
(27:40) Compute bottlenecks and faster iteration loops
(30:05) The economics of data infrastructure
(31:53) Labeling inefficiencies and smarter annotation workflows
(33:56) Hidden costs of data wrangling and wasted engineering time
(35:10) Positioning Voxel51 and lessons for founders
(37:53) The future of visual AI and missing industry standards
(40:36) Rapid Fire Round
Where to find Brian Moore:
LinkedIn: https://www.linkedin.com/in/brimoor/
Where to find Prateek Joshi:
Research Column: https://www.infrastartups.com
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Carina Hong is CEO of Axiom Math, where they're building a self-improving superintelligent reasoner, starting with an AI mathematician. She's a Rhodes Scholar, first-gen college grad and mathematics prodigy who earned dual degrees in mathematics and physics from MIT in 3 years. And a joint JD/PhD at Stanford. They just raised a $64M seed round from B Capital, Greycroft, Madrona, and Menlo Ventures.
Carina's favorite books: Proofs from THE BOOK (Author: Martin Aigner, Günter M. Ziegler)
(00:02) Intro
(00:38) What self-improving mathematical superintelligence means
(04:04) Proofs as programs: Lean and the data gap
(06:36) How AI proves: human-style vs. Lean-style reasoning
(10:43) Carina’s journey: from Olympiad problem-solver to theory-builder
(14:47) The engine room: data, infra, and building a math knowledge graph
(17:42) Verifying results: compile checks vs. LLM judges
(18:56) Self-improvement loops: skills libraries, memory, and conjecture↔prover curricula
(21:30) Synthetic data & auto-formalization strategy
(24:00) Benchmarks that matter: miniF2F, CombiBench, miniCTX v2
(26:24) Why combinatorics is uniquely hard for AI
(31:13) Compute footprint & scaling philosophy
(32:20) In-house Lean tooling and productization path
(33:57) Early use cases: formal verification in hardware/software
(36:19) Team blueprint: AI, programming languages, and math
(37:35) Scaling laws, efficiency, and bottlenecks
(38:26) If Axiom works: what becomes cheaper/faster for the world
(40:22) Rapid Fire Round
Where to find Carina Hong:
LinkedIn: https://www.linkedin.com/in/carina-hong/
Where to find Prateek Joshi:
Research column: https://www.infrastartups.com
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Mukund Jha is CEO of Emergent, an agentic vibe-coding platform. They've raised $23M from Lightspeed, Y Combinator, Together Fund, and Prosus. He was previously the cofounder and CTO of Dunzo, a hugely popular ecommerce company in India.
Mukund's favorite books: The Hard Thing About Hard Things (Author: Ben Horowitz)
(00:01) Intro
(00:07) State of vibe-coding and where we are today
(01:42) Emergent in plain English: what the product delivers
(03:07) From prototype to traction: the first 90 days
(06:03) What changed in the last 24 months (models + infra)
(08:13) Early infra bets that enabled speed
(12:07) Precision vs. control: editing and debugging without code
(14:21) One-click to production: the unglamorous infra behind it
(15:55) Points of failure across prompt → plan → code → test → deploy
(17:53) Models division of labor: planning, codegen, tests, commits
(20:05) What “reasoning” means and how they evaluate it
(22:13) Context & memory strategy (beyond naive RAG)
(24:22) Representing large codebases so agents don’t hallucinate structure
(27:03) Orchestration walkthrough: adding SSO end-to-end
(29:40) Agent coordination protocols (how agents talk)
(31:05) Debugging long-running agents and trace observability
(32:37) Company-building lessons from Dunzo to Emergent
(36:10) Philosophy: offloading decisions to models
(36:57) Rapid Fire Round
Where to find Mukund Jha:
LinkedIn: https://www.linkedin.com/in/mukund-jha-a1596413/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Stefano Ermon is the cofounder of Inception Labs and an associate professor at Stanford. Inception is developing a new type of AI models called Diffusion LLMs.
Stefano's favorite book: If on a Winter's Night a Traveler (Author: Italo Calvino)
(00:01) Introduction
(00:38) What are autoregressive LLMs and how do they work
(02:28) How diffusion LLMs rethink generation
(04:02) The ceiling of autoregressive LLMs: cost, latency, reliability
(06:19) Why diffusion LLMs are commercially viable now
(09:12) Parallel refinement: how diffusion models generate text
(12:05) Understanding diffusion steps and efficiency
(13:49) Hardest engineering challenges at Inception
(15:23) From research to production: the power of data
(16:24) Where diffusion LLMs still lag behind
(18:18) Evaluations and benchmarks for diffusion LLMs
(20:20) Developer experience and OpenAI-compatible API
(21:47) Economics and GPU efficiency
(23:38) Hardware and runtime stack
(24:58) Competition and the evolving diffusion LLM landscape
(27:01) Where diffusion will win first — coding and agentic systems
(30:13) How diffusion changes infra, serving, and hardware design
(33:04) What’s next at Inception: reasoning and multimodality
(35:20) Rapid Fire Round
Where to find Stefano Ermon:
LinkedIn: https://www.linkedin.com/in/ermon/
Where to find Prateek Joshi:
Research column: https://www.infrastartups.com
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Idan Plotnik is the CEO of Apiiro, an application security platform built for the AI era. They've raised $135M in funding from investors like Greylock, Kleiner Perkins, and General Catalyst.
Idan's favorite books: Zero to IPO (Author: Frederic Kerrest)
(00:01) Introduction
(00:07) How LLMs Generate Code
(02:11) Rise of Vibe Coding: Opportunities and Risks
(05:24) Debugging and Security in Vibe Coding
(09:13) Vulnerabilities Introduced by AI Code Assistants
(12:20) Security Basics for Builders Using AI and Cloud Platforms
(15:44) Security by Design and Organizational Standards
(18:08) Making Security Dead Simple: The Appiro Approach
(22:28) Winning Developer Trust Through UX and Integration
(26:59) Biggest Technical and GTM Challenges in Building Appiro
(33:55) Rapid Fire Round
Where to find Idan Plotnik:
LinkedIn: https://www.linkedin.com/in/idanplotnik/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Astasia Myers is a GP at Felicis, an iconic VC firm with investments in companies like Shopify, Canva, Adyen, Notion, Mercor, Plaid, Supabase, Flexport, and more.
Astasia's favorite books: God's Bankers (Author: Gerald Posner)
(00:01) Introduction
(00:26) Astasia’s Infra Thesis
(03:59) Golden Age of Infra & Innovators Network
(06:22) RL Environments & AI Agents
(08:57) Disruption Opportunities: Data & Observability
(11:31) Where to Find Infra Founders
(16:31) Early Signals & Thesis-Driven Investing
(18:01) Picking & Decision-Making Process
(20:11) Red Flags in Infra Investing
(22:20) References & Diligence
(24:35) Proof of Usage & Production Signals
(26:24) Building Edge as an Investor
(28:01) How Felicis Helps Founders Post-Investment
(30:05) Consensus vs. Contrarian Views in Infra
(32:09) Tourist Traps in Infra Investing
(34:43) GTM & Sales Motion in Infra
(37:25) Pricing Strategies for Infra Startups
(40:09) Ecosystem vs. Core Product Focus
(42:15) Lessons from Outlier vs. Good Companies
(44:30) Infra Wedges to Fund Today
(45:23) Commoditized but Promising Categories
(47:06) Exciting AI Advancements
(48:21) Rapid Fire Round
Where to find Astasia Myers:
LinkedIn: https://www.linkedin.com/in/astasiamyers/
Where to find Prateek Joshi:
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Research column: https://infrastartups.com
Spiros Xanthos is the CEO of Resolve AI, a platform to put AI on-call for humans. He previously started Log Insight that was acquired by VMware. And started Omnition that was acquired by Splunk. He also helped start OpenTelemetry. They've raised $35M from amazing investors such as Greylock.
Spiros's favorite books:
- Zero to One (Author: Peter Thiel)
- Build (Author: Tony Fadell)
(00:01) Introduction & Setting the Stage
(00:42) AI’s Impact on Software Engineering
(02:55) What Reliability Means in Software
(04:34) Resolve AI Explained in Plain English
(06:33) Real-World Example of Resolve in Action
(08:28) Early Customers & Lessons from Company Building
(11:40) OpenTelemetry & The Open Source Journey
(16:55) Positioning a Developer Tool in a Crowded Market
(18:58) Philosophy of Product Building
(21:06) Cultural Norms: What to Keep and What to Change
(24:33) Radical Transparency & Team Dynamics
(26:50) Recruiting for Resilience in Early Team Members
(28:59) Future of AI in Software Engineering
(31:25) Resolve AI Roadmap & Expansion Plans
(33:28) Exciting AI Advancements on the Horizon
(35:17) Rapid Fire Round
Where to find Spiros Xanthos:
LinkedIn: https://www.linkedin.com/in/spiros/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Nick Schrock is the founder of Dagster Labs, a data platform that helps you build, schedule, and monitor reliable data pipelines. They've raised $49M in funding from investors such as Sequoia, Index, Amplify, Slow, and 8VC. He is also the cocreator of the popular query language GraphQL.
Nick's favorite books: The Great CEO Within (Author: Matt Mochary)
(00:01) Introduction and Welcome
(00:39) The Origins of GraphQL at Facebook
(05:24) Explaining Data Orchestration in Plain English
(09:03) What Dagster Is and Why It Matters
(12:37) Assets vs. Tasks: A New Philosophy
(16:51) Balancing Open Source and Commercial Features
(22:18) Growing the Early Open Source Community
(25:26) Signals of Community Health
(27:59) Landing the First 10 Customers
(32:25) Culture Shift: From Engineering-Heavy to Go-to-Market
(37:49) Mistakes DevTool Founders Often Make
(41:21) Selective Micromanagement and Leadership Style
(44:36) Rapid Fire Round
Where to find Nick Schrock:
LinkedIn: https://www.linkedin.com/in/schrockn/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Rehan Jalil is the CEO of Securiti, a platform that enables the safe use of data and generative AI. They've raised $156M in funding from investors such as General Catalyst, Mayfield, and others. He was previously the CEO of Elastica, which was acquired for $280M by Bluecoat. Before that, he was the CEO of WiChorus, which was acquired by Tellabs for $180M.
Rehan's favorite books: Good to Great (Author: Jim Collins)
(00:00) Introduction
(02:14) Founding Securiti and the Evolution of Data Privacy
(06:08) Why Data Security Needs a Unified Platform
(09:32) Scaling Challenges and Product Decisions
(13:17) The Role of AI in Data Security
(17:20) Navigating the Enterprise Sales Motion
(21:56) Go-to-Market Lessons from Elastica to Securiti
(25:43) Competing in a Crowded DSPM Market
(29:00) Shifting Buyer Personas and GenAI Adoption
(32:11) Rapid Fire Round
Where to find Rehan Jalil:
LinkedIn: https://www.linkedin.com/in/rehanjalil/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Alberto Rizzoli is the CEO of V7 Labs, an AI agent platform to automate knowledge work. They've raised a total of $43M in funding from Radical Ventures, Temasek, Air Street Capital, and others.
Alberto's favorite books: Sapiens (Author: Yuval Noah Harari)
(00:01) Introduction and What V7 Labs Does
(01:23) The Founding Insight and Early MVP
(04:54) Getting the First Five Customers
(07:01) Darwin vs. Go: Product Differentiation
(10:16) Infrastructure and Chaining Models at V7
(12:34) Product Philosophy: Killing Your Darlings
(15:56) Surprising User Behavior and Composability
(17:32) Human-in-the-Loop vs. Fully Autonomous
(19:38) Identifying High-PMF Sub-Verticals
(22:37) Positioning V7 in a Crowded Agent Market
(26:33) Advice for Founders Post-Pre-Seed
(29:22) Exciting AI Trends: MCP and AI-to-AI Communication
(31:18) Rapid Fire Round
Where to find Alberto Rizzoli:
LinkedIn: https://www.linkedin.com/in/albertorizzoli/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Dave Selinger is the CEO of Deep Sentinel, an AI-powered video surveillance system. They have raised $38M in funding from Intel Capital, Shasta Ventures, and others. Prior to this, he was the cofounder and CTO of Redfin. And he was also the cofounder of RichRelevance.
Dave's favorite books:
- The Speed of Trust (Author: Stephen Covey)
- Snow Crash (Author: Neal Stephenson)
(00:01) – Origin Story: A Near-Miss and the Broken Security Market
(04:22) – What Deep Sentinel Does and Why It Works
(06:23) – Benefits of Vertical Integration in Security Tech
(10:20) – How Deep Sentinel Tackles False Positives with AI
(14:06) – Balancing Escalation Risk and Deterrence
(17:06) – How Deep Sentinel Processes and Uses Its Data
(19:36) – Positioning Deep Sentinel in the Competitive Landscape
(21:12) – Go-to-Market Learnings for Hardware-Software Companies
(23:39) – Residential vs. Commercial Security: A Comparison
(26:41) – Regulation and Public Sentiment Around Security AI
(29:03) – Insurance, Security, and Incentive Alignment
(31:23) – Company Building and Lessons from 20 Years of Founding
(39:26) – The Role of Distillation and LLMs in Deep Sentinel’s Future
(42:27) – Rapid Fire Round
Where to find Dave Selinger:
LinkedIn: https://www.linkedin.com/in/selly/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Brennan Pothetes is the CEO of Infinity Constellation, an AI-native holding company. They've raised $17M from Freestyle Capital, Charlie Songhurst, and others.
Brennan's favorite books: Zero to One (Author: Peter Thiel)
(00:01) Lightning Bolt Moment – Origin of Infinity Constellation
(03:48) Transitioning from Founder to Holdco CEO
(07:00) How Infinity Incubates vs Acquires Companies
(09:05) Infinity vs Traditional Venture Studios
(10:58) Aligning Incentives: Founders, Holdco, and Investors
(16:32) Target Markets and How They’re Chosen
(20:27) When a Company Graduates from the Holdco
(23:04) Resource Allocation and “Too Many Toddlers” Problem
(26:29) Shared Infrastructure and the Code Commons
(29:48) Model Choices, Full Stack AI, and the Infinity Playbook
(32:05) First 3 Hires at a Portfolio Company
(33:53) Who is the Real Competition?
(37:03) Infinity’s 5-Year Vision and AI Trends
(38:37) Rapid Fire Round
Mark Fussell is the CEO of Diagrid, a developer platform that provides tools and services for building cloud native applications. They've raised $24.2M from Amplify and Norwest. He is also the co-creator of Dapr, an open source tool used by 40,000 companies.
Mark's favorite books:
- Crossing the Chasm (Author: Geoffrey A. Moore)
- Good to Great (Author: Jim Collins)
- The Dispossessed (Author: Ursula K. Le Guin)
(00:01) Opening and Introduction
(00:09) The Origins of Dapr: Solving Developer Pain
(01:53) Why Launch Diagrid After Building Dapr at Microsoft
(03:36) Why Dapr Gained Traction Among Developers
(05:30) Open Source Commercialization: What to Charge For
(07:51) When Do Companies Turn to Diagrid for Help?
(09:53) Key Features: PubSub, Workflow, and Catalyst
(11:48) North Star Metrics and Innovation Philosophy
(13:17) Pricing Strategy for Infra and Dev Tools
(15:28) Competing Against Hyperscalers Like AWS & Azure
(17:32) Who Diagrid Competes With and Role of Platform Engineering
(19:29) The Agentic Shift in Microservices
(21:28) How AI Is Changing Microservices Design
(22:59) What's Coming Next at Diagrid: Roadmap and AI Features
(24:51) Lessons from the First Five Customers
(26:59) Rapid Fire Round
Where to find Mark Fussell:
LinkedIn: https://www.linkedin.com/in/mfussell/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Jan Liphardt is the founder of OpenMind, where they're building an operating system for intelligent machines. He is an associate professor at Stanford and was previously an associate professor at UC Berkeley. He got his PhD from University of Cambridge.
Jan's favorite books: The Little Prince (Author: Antoine de Saint-Exupéry)
00:01 — Introduction
00:32 — Gap Between Movie Robots and Real-World Robotics
02:35 — Vision for a New Robotics OS
07:14 — Robotics OS Stack Breakdown
11:01 — Biggest Technical Challenges in Robotics
15:06 — Data Volume, Processing, and Cloud vs. Local
19:09 — Shared Intelligence Layer: What is Fabric?
23:15 — Filtering Good vs. Bad Ideas in a Robot Network
26:06 — Business Model for Robots and Machine Economy
29:55 — Standards and Interoperability in Robotics
33:14 — Most Exciting AI Advancements Today
35:00 — Rapid Fire Round
Where to find Jan Liphardt:
LinkedIn: https://www.linkedin.com/in/jan-liphardt/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi
Anna Patterson is the cofounder of Ceramic, an AI infrastructure platform for large scale model training. They raised their seed round led by NEA along with amazing investors such as Lukas Biewald, Laszlo Bock, Sean Carey, Jeff Hammerbacher, Ankit Jain, Seval Oz, Joanna Rees, Gokul Rajaram, and Ram Sriram. She was previously the founder and managing partner at Gradient Ventures. She was the VP Engineering at Google for 14 years.
Anna's favorite book: Books she reads with her daughters as part of their family book club
(00:01) Introduction & AI Infra 101
(01:11) Budget Breakdown: Training vs Inference
(02:16) Mapping the AI Infra Landscape
(04:18) Verticalized vs General-Purpose Infrastructure
(06:22) Why Ceramic Was Built From Scratch
(08:35) MVP Tradeoffs and Decision Framework
(10:16) Achieving 2.5x Speedup in Long Context Training
(11:50) Short vs Medium vs Long Context: A Primer
(13:38) Long Context vs RAG (Retrieval-Augmented Generation)
(15:24) Real-World Impact of Long Context Models
(16:38) Bottlenecks at 96K Token Contexts
(17:51) Data Pruning 101: What to Keep, What to Drop
(21:01) What Is “Good Data” in Subjective Domains?
(22:32) How to Grade Reasoning, Not Just Answers
(24:15) Synthetic Data: Use Cases & Limits
(26:19) Staying Current in Fast-Moving Domains
(27:30) Will Every Company Have Its Own Model?
(29:23) Unlocking the Next 10x in Infra
(31:27) Favorite Recent AI Advancements
(32:33) Rapid Fire Round
Where to find Anna Patterson:
LinkedIn: https://www.linkedin.com/in/anna-patterson-15921ba/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi
Tom Chavez is the cofounder of super{set}, a startup studio that founds, funds, and builds data and AI startups. Prior to this, he was the CEO and co-founder of Krux, a martech platform acquired by Salesforce in 2016. Before Krux, he was the CEO and co-founder of Rapt, a provider of software for media monetization acquired by Microsoft in 2008. He went to Harvard for undergrad and Stanford for his PhD.
Tom's favorite book: The Three Musketeers (Author: Alexandre Dumas)
(00:01) Origin Story and Starting Superset
(02:58) How Superset Evaluates Ideas and Risk
(06:24) What Is a Venture Studio and How Superset Works
(10:49) Underfunded Layers in AI Infrastructure
(14:55) Orchestration Opportunities in LLM Workflows
(15:49) The Future of Data Infra and ETL in the AI Era
(20:46) Code Infra: Code Quality and AI-Generated Software
(24:55) Model Infra, MLOps, and Why It’s Underwhelming
(27:22) Cloud Economics and Gross Margins in AI Companies
(32:15) Early Team Structure in AI Infra Startups
(34:49) Full Stack vs Composable Infra in AI
(37:52) Fragmentation vs Consolidation in AI Tooling
(41:02) Where Moats Will Accumulate: Data In, AI, Data Out
(45:10) Biggest Challenge in Building Superset
(46:23) Rapid Fire Round
Where to find Tom Chavez:
LinkedIn: https://www.linkedin.com/in/tommychavez/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi
Rowan Stone is the CEO of Sapien, a decentralized data foundry where AI models can access verified human expertise worldwide. They've raised raised a $10.5M round led by Variant. He's also the co-creator of Coinbase's layer 2 network called Base.
Rowan's favorite book: Outlive (Author: Peter Attia)
(00:01) Introduction
(01:09) The Flaws in Centralized Data Models
(04:10) Mechanism of Knowledge Transfer and Expert Incentives
(07:08) Supply, Demand, and Market Dynamics for Training Data
(10:22) Chain of Thought Reasoning and 3D/4D Data Use Cases
(12:22) Building the MVP: What Worked and What Didn’t
(15:17) Acquiring the First Five Customers
(17:59) What They Got Right and What They’d Change
(20:15) How to Scale from Early Customers: Advice to Founders
(22:02) Data Infrastructure Opportunities in 2025
(25:57) Designing AI-Native Databases
(28:04) Biggest Startup Challenge: Messaging and Clarity
(30:22) Future of Data Collection Mechanisms (2 to 5 Years Out)
(32:07) Autonomous Vehicles and Demand for 4D Data
(35:33) Emerging AI Use Cases: Memory, Wearables, and Robotics
(36:19) Rapid Fire Round
Where to find Rowan Stone:
LinkedIn: https://www.linkedin.com/in/rowan-stone/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi
Rish Gupta is the cofounder and CEO of Spot AI, a video AI platform for the physical world. They've raised $93M from amazing investors such as Scale, Bessemer, and Qualcomm Ventures.
Rish's favorite book: Atlas Shrugged (Author: Ayn Rand)
(00:01) Introduction
(00:32) Video-AI basics: ingesting camera feeds across diverse networks
(02:42) Edge-vs-cloud trade-offs for compute, storage, and bandwidth
(05:40) Mapping the sector: hardware waves to cloud cameras to pure-software layer
(07:43) Founding insight: why Spot AI attacked the video layer now
(11:35) Bare-bones MVP: two-page dashboard that unified camera access
(15:34) First-10-customer lessons & pruning the ideal customer profile (ICP)
(18:54) Go-to-market experiments: ICP variants, pain points, and channels
(23:00) Early-team blueprint: engineering-heavy, founders run sales
(24:03) Hardware stance: free IP cameras to simplify one-vendor buying
(26:01) Biggest tech hurdle: supporting thousands of camera brands & configs
(27:00) Sales challenge: outbound fatigue forces novel GTM motions
(28:55) Future vision: each camera becomes an autonomous AI agent with a "job"
(30:25) Key AI unlock: massive context windows enabling flow-state reasoning
(32:14) Rapid-fire round
Where to find Rish Gupta:
LinkedIn: https://www.linkedin.com/in/profilerish/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi
Alex Levin is the cofounder and CEO of Regal, a platform for AI phone agents. They've raised $82M from amazing investors such as Emergence Capital.
Alex's favorite book: The PayPal Wars (Author: Eric M. Jackson)
(00:01) Introduction
(02:37) Evolution of customer contact tools and legacy players
(06:02) Launching Regal: Origin story and early challenges
(08:41) MVP strategy and problems worth solving
(11:46) Lessons from 0 to 10 customers: Growth mistakes and hiring
(16:13) Ideal early-stage team construction and hiring philosophy
(19:06) Sequencing hires as company scales
(20:58) What makes a good investor and how to leverage them
(25:42) Best and worst experiments while building Regal
(29:04) Internal use of AI at Regal across teams
(31:49) The future of AI phone agents and near-term blockers
(34:13) Rapid Fire Round
Where to find Alex Levin:
LinkedIn: https://www.linkedin.com/in/alexlevin1/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi
Colin Zima is the cofounder and CEO of Omni, a data platform that combines the consistency of a shared data model with the speed and freedom of SQL. They recently raised their $69M Series B led by ICONIQ Growth. He was previously the Chief Analytics Officer at Looker.
Colin's favorite book: Blink (Author: Malcolm Gladwell)
(00:01) Introduction
(01:10) What Is a Data Model and Why It Matters
(03:27) Gaps in the Modern Data Stack
(05:38) The Staying Power of SQL
(07:29) Origin Story: Why Omni Was Created
(10:13) Lessons from Building the MVP
(12:48) Go-to-Market Insights: Zero to Ten Customers
(16:02) Founder-Led Sales and Marketing Tactics
(18:58) Company Building: Recruiting and Product Challenges
(21:34) Product Positioning in a Crowded Market
(23:26) Design Philosophy in Enterprise Software
(28:21) Omni's Tech Stack and Development Strategy
(28:57) Real-World Use of AI Inside the Company
(31:01) Future of Data Tooling and Role of AI
(33:49) Rapid Fire Round
Where to find Colin Zima:
LinkedIn: https://www.linkedin.com/in/colinzima/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Alvaro Morales is the cofounder and CEO of Orb, a usage-based billing product for modern software companies. They've raised $44M to date from amazing investors such as Mayfield, Menlo Ventures, and Greylock.
Alvaro's favorite book: Conversation in the Cathedral (Author: Mario Vargas Llosa)
(00:01) Introduction
(00:35) What is Usage-Based Billing?
(02:27) Challenges in Metering Usage
(04:14) Examples of Consumption-Based Products
(05:49) Tools for Usage Metering and Billing
(09:08) Founding Story and Validation of Orb
(12:11) Building the MVP for a Billing System
(14:48) Acquiring the First 10 Customers
(18:33) Scaling Sales & Marketing After Initial Traction
(21:09) Building the Team & Ideal Candidate Profile
(23:26) Technology Stack Behind Orb
(25:55) Real-Time Analytics vs Streaming for Billing
(27:18) Other Key Components of Orb's Solution
(28:38) Why Incumbents Haven’t Solved This Problem
(31:09) How Orb Uses AI Internally
(32:53) Most Exciting AI Advancements for the Future
(34:30) Rapid Fire Round
Where to find Alvaro Morales:
LinkedIn: https://www.linkedin.com/in/alvaro-morales/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Jay Madheswaran is the cofounder and CEO of Eve, a legal AI platform for plaintiff law firms. They recently raised their $47M Series A from Andreessen Horowitz, Lightspeed, and Menlo Ventures. He was previously a partner at Lightspeed and the first engineer at Rubrik.
Jay's favorite book: The Truth Detector (Author: Jack Schafer)
(00:01) Introduction
(00:44) Overview of Legal AI and Industry Impact
(03:53) Daily Operations in Plaintiff Law Firms
(05:49) Identifying and Launching Eve's MVP
(08:58) Framework for Building an Effective MVP
(12:02) Acquiring Early Customers (Zero to Ten)
(14:20) Scaling Beyond Early Customers: Growth Strategies
(16:08) Encouraging Word-of-Mouth and Inbound Growth
(18:21) Product Development and Customer Feedback Loops
(20:27) Eve's Technology Stack and Internal AI Usage
(22:16) Team Structure and Leadership Development
(24:20) Role and Impact of Designers in Early Startups
(27:15) Future Trends in Legal AI: Consolidation vs. Specialization
(30:29) Exciting AI Advancements Relevant to Eve
(31:58) Rapid Fire Questions
Where to find Jay Madheswaran:
LinkedIn: https://www.linkedin.com/in/jayanth1/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi
Anant Bhardwaj is the founder and CEO of Instabase, an AI-native unstructured data platform. They've raised $322M in funding to date from NEA, Andreessen Horowitz, Greylock, and Index Ventures. He did his masters from Stanford and PhD from MIT.
Anant's favorite book: The Singularity Is Near (Author: Ray Kurzweil)
(00:07) Defining Unstructured Data
(01:18) The Growth of Unstructured Data and Its Challenges
(02:05) Evolution of Tools for Analyzing Unstructured Data
(04:25) How Large Language Models (LLMs) Changed Data Processing
(05:27) Do We Still Need ETL in the LLM Era?
(06:05) Structured Queries vs. Direct Unstructured Querying
(08:22) Applying LLMs in Enterprise Settings
(09:34) Ensuring Accuracy in AI-Driven Data Analysis
(11:29) SQL vs. AI-Driven Queries in Business Use Cases
(13:48) Retrieval-Augmented Generation (RAG) for Enterprise AI
(15:02) The Founding of Instabase and Its Early Vision
(19:03) Building the MVP of Instabase
(22:52) First 10 Customers: Lessons from Early Sales
(26:01) Scaling Customer Acquisition: Experiments and Failures
(30:35) When to Hire a Sales Team: Key Lessons
(33:52) AI Adoption at Instabase for Internal Productivity
(37:48) The Technology Stack Behind Instabase
(42:36) Transition from OS-Based Architecture to LLM-Based System
(43:45) Rapid Fire Questions
Where to find Anant Bhardwaj:
LinkedIn: https://www.linkedin.com/in/anantpb/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi
Malte Kosub is the cofounder and CEO of Parloa, an AI agent platform for customer service. They raised their $66M Series B led by Altimeter.
Malte's favorite book: The Qualified Sales Leader (Author: John McMahon)
(00:01) Introduction
(00:26) Overview of AI in Customer Support
(01:33) The Current Landscape of AI Agents
(02:46) Enterprise Adoption of AI Agents
(04:16) The Founding Story of Parloa
(06:25) Deciding What Goes into V1 of a Product
(07:56) Achieving 99.9999% Accuracy in AI Agents
(09:29) How to Identify Customer Needs for AI Products
(10:55) Scaling from Early Customers to the Next 10
(12:41) Growth Experiments: What Worked and What Didn’t
(14:42) Current State of Parloa: Capabilities and Scale
(16:36) Structuring Teams for AI-First Companies
(18:49) Technology Stack and Internal AI Use Cases
(21:29) How to Pitch an AI Product to Enterprises
(23:32) Essential Tools Used Inside the Company
(25:41) AI’s Role in Daily Life and Workflows
(27:54) The Future of AI Agents in Customer Support
(28:37) Can AI Agents Fully Replace Human Agents?
(29:05) Exciting AI Advancements Impacting Parloa
(30:06) Rapid Fire Round
Where to find Malte Kosub:
LinkedIn: https://www.linkedin.com/in/maltekosub/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Scott Stevenson is the cofounder and CEO of Spellbook. They launched the first generative AI copilot for lawyers. It's used by more than 3,000 law firms and are growing really fast. They most recently raised $20M Series A from investors such as Inovia, Bling, and Moxxie.
Scott's favorite book: Zero to One (Author: Peter Thiel)
(00:01) Introduction
(00:06) The basics of legal AI and its applications
(02:57) How lawyers use AI for contract review and drafting
(03:22) Inspiration from GitHub Copilot and AI’s role in legal work
(04:19) AI in litigation vs. transactional legal work
(06:37) Why AI adoption in legal work accelerated
(07:07) The launch story of Spellbook
(07:45) Finding the right problem to solve in legal tech
(10:11) How GitHub Copilot influenced Spellbook’s early direction
(11:42) Spellbook’s first prototype and early traction
(13:11) The moment Spellbook realized it had product-market fit
(14:31) Measuring actual product usage and customer adoption
(15:27) Early learnings from new customers
(17:59) Growth experiments: what worked and what failed
(20:48) Discovering unexpected customer segments
(22:50) Company building philosophy and structuring Spellbook
(26:18) Avoiding over-optimization for structure in startups
(30:21) How to decide what to ship in a startup
(32:21) Pattern-matching vs. narrative reasoning in product development
(35:39) Lessons from AI contract review and LLM usage
(36:14) Rapid-fire round
Merrill Lutsky is the cofounder and CEO of Graphite, an AI-powered code reviewer that's used by tens of thousands of users. They are backed by amazing investors including Andreessen Horowitz.
Merrill's favorite book: Never Split the Difference (Author: Chris Voss)
(00:01) Introduction
(00:06) Teaching AI to Understand Code
(02:40) AI-Assisted Code Generation and Code Review
(06:20) Current Landscape of AI-Assisted Code Review
(09:04) Motivation Behind Launching Graphite
(16:52) Landing the First Paying Users and Early Learnings
(21:42) Growth Experiments: Wins and Misses
(26:27) Current Scale of Graphite
(29:12) Tech Stack Behind Graphite
(33:12) Future of AI-Assisted Coding and Graphite’s Role
(35:37) Rapid Fire Round
Where to find Merrill Lutsky:
LinkedIn: https://www.linkedin.com/in/merrill-lutsky/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi
Amit Jain is the cofounder and CEO of Luma AI, an AI platform to create realistic looking videos. They're backed by Andreessen Horowitz, Amazon, and AMD. He was previously at Apple where he worked on VisionPro.
Amit's favorite book: Skunk Works (Authors: Ben R. Rich, Leo Janos)
(00:01) Introduction
(00:26) How Can AI Models Generate Realistic Videos
(02:38) The Current Landscape of Video Generation
(06:16) Teaching AI Models the Laws of Physics
(09:47) Founding Luma: Deciding on the First Product Version
(12:56) Validating Market Need & User Feedback
(16:42) Key Learnings from Ray 1 Before Launching Ray 2
(21:24) Growth Hacks That Moved the Needle
(24:27) From Zero Users to Today: The Growth Journey
(27:53) Building a Community Around Luma
(30:57) Luma’s Technology Stack & AI Infrastructure
(36:42) Biggest Technical Challenges in Building Luma
(39:24) The Future of Video Generation & AI's Role
(41:54) Rapid Fire Round
Where to find Amit Jain:
LinkedIn: https://www.linkedin.com/in/gravicle/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi
Zach Lloyd is the cofounder and CEO of Warp, the intelligent terminal powered by AI. They recently raised their $50M Series B led by Sequoia Capital. He was previously the cofounder of SelfMade and the interim CTO of TIME.
Zach's favorite book: The Death of Ivan Ilyich (Author: Leo Tolstoy)
(00:01) Introduction
(00:07) Basics of the Terminal: What It Does and Why Developers Use It
(01:48) Foundation of Warp: Addressing Terminal Shortcomings
(05:00) Initial Feature Set: Building Warp’s Early Product
(07:19) Product Iteration and Retaining Early Users
(10:15) AI Integration in Warp: Initial Use Cases and Evolution
(14:00) Technical Challenges: Building Warp in Rust
(16:25) Feature Prioritization: Balancing Feedback and Vision
(18:26) Warp's Tech Stack: Languages, Frameworks, and Tools
(22:22) Cross-Platform Development Challenges
(23:07) Importance of Design: Competitive Advantage in Dev Tools
(26:10) Hiring for Design in Early-Stage Startups
(30:22) Warp’s Vision for the Next Five Years
(32:15) Lessons from Scaling Warp: Advice to Younger Self
(34:02) Rapid Fire Round
Where to find Zach Lloyd:
LinkedIn: https://www.linkedin.com/in/zachlloyd/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Amias Gerety is a partner at QED Investors, a fintech-focused VC firm with $3.8 Billion under management. He was previously the Assistant Secretary at the US Department of Treasury. And he graduated from Harvard.
Amias's favorite finance book:
Lombard Street: A Description of the Money Market (Author: Walter Bagehot)
(00:01) Introduction
(00:46) Why Do Robots Need Insurance?
(03:04) Challenges for Insurance Companies with Robot Liability
(07:34) Risks of Autonomous Robots in Industrial vs. Domestic Settings
(12:22) Cybersecurity and Hacking Risks in Robotics
(15:41) Importance and Challenge of Historical Data in Robotics Insurance
(18:52) Leveraging Telemetry Data for Risk Modeling
(22:09) Creating a Functional Insurance Market for Robotics
(26:42) Should Robots Be Independent Legal Entities?
(28:34) Should Robots Buy Their Own Insurance?
(32:30) Partnerships Between Insurers and Robotics Companies
(37:11) Regulatory Framework for Robotics Insurance
(38:57) Advice for Founders in Robotics Insurance
(40:07) Rapid Fire Round
Where to find Amias Gerety:
LinkedIn: https://www.linkedin.com/in/amias-gerety/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Jordan Tigani is the cofounder and CEO of MotherDuck, a data warehouse platform based on open source database DuckDB. They've raised $100M in funding from amazing investors like Andreessen Horowitz, Felicis, Madrona, and Altimeter. He was previously the CPO at SingleStore and spent 11 years at Google before that. He has a degree in electrical engineering from Harvard.
Jordan's favorite book: The Master and Margarita (Author: Mikhail Bulgakov)
(00:01) Introduction
(00:08) Founding of MotherDuck
(01:12) The Philosophy of Shipping Products at MotherDuck
(05:02) Founding Story and Identifying the Market Opportunity
(10:57) Building the First Version and Overcoming Early Challenges
(12:23) Validating Customer Needs and Asking the Right Questions
(18:24) Deciding What Features to Prioritize and Exclude
(21:30) Positioning a New Product in a Mature Market
(27:36) Overcoming Challenges in Scaling MotherDuck
(32:29) Measuring Success of New Features in Enterprise Products
(36:20) Structuring the Organization for Effective Execution
(41:09) Preparing MotherDuck for the AI Native Era
(43:28) Rapid Fire Round
Where to find Jordan Tigani:
LinkedIn: https://www.linkedin.com/in/jordantigani/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Amias Gerety is a partner at QED Investors, a fintech-focused VC firm with $3.8 Billion under management. He was previously the Assistant Secretary at the US Department of Treasury. And he graduated from Harvard.
Amias's favorite book: The Origin of Species (Author: Charles Darwin)
(00:01) Introduction and Setting the Stage
(00:29) The Status Quo: AI Agents and Online Purchases
(02:20) The Current Payment Infrastructure Explained
(04:42) Automation Today: Auto-Complete and Recurring Payments
(06:09) Why AI Agents Need Dedicated Financial Infrastructure
(08:29) Historical Examples: Auctions, Bots, and Payment Systems
(09:32) Identifying and Verifying AI Agents in Commerce
(11:59) Risks of Agentic Commerce: Lessons from Knight Capital
(14:47) Stripe’s Role in Agent Payments: SDKs and Gaps
(19:46) Opportunities for Startups in Agentic Frameworks
(22:49) Challenges: Disputes, Chargebacks, and Reversals
(26:32) Regulation and Governance in Agentic Payments
(28:24) Building Merchant Trust in AI Transactions
(30:11) Needs of AI Developers: Reliability in Transactions
(33:04) The Future of Agentic Commerce and Microtransactions
(35:42) Building Consumer Trust in Agentic Systems
(38:45) Broader AI Applications in Finance
(40:13) Rapid Fire
Where to find Amias Gerety:
LinkedIn: https://www.linkedin.com/in/amias-gerety/
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Cody Coleman is the cofounder and CEO of Coactive AI, a multimodal AI platform to accelerate metadata generation. They recently raised their $30M Series B co-led by Cherryrock Capital and Emerson Collective along with participation from Greycroft, Andreessen Horowitz, and Bessemer Venture Partners. He has a masters degree from MIT and a PhD from Stanford.
Cody's favorite books:
- The Inner Game of Tennis (Author: W. Timonthy Gallwey)
- Gettine More (Author: Stuart Diamond)
(00:01) Introduction: Setting the Stage for Metadata
(00:21) What is Metadata? Structure in Unstructured Data
(01:37) Metadata in Real-World Visual Data Analysis
(03:01) Automating Metadata Generation: Challenges and Approaches
(06:57) Introduction to Multimodal AI: What and Why
(11:25) Managing Trade-Offs in Multimodal AI Systems
(13:31) Labeling Challenges in Multimodal Datasets
(16:23) Characteristics of an Ideal Metadata Language
(18:22) Linking Metadata Quality to Model Effectiveness
(20:56) Measuring Efficiency of Metadata Extraction Engines
(22:55) Role of Synthetic Data in Metadata and AI
(25:30) Evolution of Data Labeling and Future of Metadata
(27:27) Exciting Technological Advancements in AI
(29:29) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Gilwoo Lee is the founder and CEO of Zordi, a company that builds and operates autonomous greenhouses with mobile robots and AI. They raised $20M in their most recent funding round led by Khosla Ventures. She has degrees from MIT, CMU, and University of Washington.
Gilwoo's favorite book: Masayoshi Son's 300-Year Plan (Author: Takashi Sugimoto)
(00:01) Introduction
(00:08) What is a Greenhouse?
(01:08) Greenhouse Usage in Different Regions
(02:45) Advantages and Challenges of Greenhouses
(06:15) Crops Suitable for Greenhouses
(08:23) Introduction to Autonomous Greenhouses
(10:40) Technology Stack of Autonomous Greenhouses
(12:17) Factors Affecting Crop Growth and Automation
(14:00) Data Requirements for AI Models in Greenhouses
(15:14) Upgrading Traditional Greenhouses to Autonomous
(17:26) Tasks Managed by Robots in Greenhouses
(18:45) Engineering Challenges in Robotics for Greenhouses
(20:16) Future of Robotics in Greenhouses
(21:39) Robotics Supply Chain and Standardization
(23:23) Verticalized vs. General-Purpose Robots
(27:16) Robotics Foundation Models
(29:52) Economics of Autonomous Greenhouses
(33:16) Future of Autonomous Farming
(34:01) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Vivas Kumar is the cofounder and CEO of Mitra Chem, the first lithium-ion battery materials product company focused on shortening the lab-to-production timeline by over 90%. They recently raised more than $80M in funding from Social Capital, General Motors, Alpha Wave Ventures, and others.
Vivas's favorite book: Long Walk to Freedom: The Autobiography of Nelson Mandela (Author: Nelson Mandela)
(00:01) Introduction
(02:25) How Lithium-Ion Batteries Work
(04:56) Evolution of Battery Materials
(06:46) Development of Lithium-Ion Battery Technology
(08:10) Optimizing Battery Properties: Cost, Energy Density, and Cycle Life
(10:52) Supply Chain of Battery Materials
(13:16) From Lab to Production: Key Bottlenecks
(15:26) Using AI to Accelerate Synthesis Design
(18:18) Battery Cell Qualification: Process and Importance
(20:13) Managing Risk in AI-Driven Battery Experiments
(21:20) Data Generation for AI-Driven Battery Development
(22:52) Challenges in Manufacturing Large-Scale Batteries
(25:02) Current Limitations in Battery Materials Development
(26:39) Next-Generation Battery Materials in the Pipeline
(27:50) Advancements in Battery Technology Beyond Materials
(29:52) Advice for New Founders in the Battery Industry
(31:42) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Alan Cowen is the cofounder and CEO of Hume, a company building voice-to-voice foundation models. They recently raised their $50M Series B from Union Square Ventures, Nat Friedman, Daniel Gross, and others.
Alan's favorite book: 1984 (Author: George Orwell)
(00:01) Introduction
(00:06) Defining Voice-to-Voice Foundation Models
(01:26) Historical Context: Handling Voice and Speech Understanding
(03:54) Emotion Detection in Voice AI Models
(04:33) Training Models to Recognize Human Emotion in Speech
(07:19) Cultural Variations in Emotional Expressions
(09:00) Semantic Space Theory in Emotion Recognition
(12:11) Limitations of Basic Emotion Categories
(15:50) Recognizing Blended Emotional States
(20:15) Objectivity in Emotion Science
(24:37) Practical Aspects of Deploying Voice AI Systems
(28:17) Real-Time System Constraints and Latency
(31:30) Advancements in Voice AI Models
(32:54) Rapid-Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Hassaan Raza is the cofounder and CEO of Tavus, a video API platform for digital twins. They've raised more than $28M in funding from investors such as Sequoia and Scale VP.
Hassaan's favorite book: Go Like Hell (Author: A. J. Baime)
(00:01) Introduction
(00:38) Overview of AI in video generation
(01:44) AI models used in video generation
(03:35) Capturing intricate facial movements in real-time
(06:46) Data capture and 3D modeling from basic video input
(09:01) Explanation of neural radiance fields and Gaussian splatting
(10:14) Capturing facial expressions for video generation
(15:22) Temporal coherence in video generation
(18:05) Challenges in conversational video, including lip-syncing and emotion alignment
(20:38) Inference challenges in conversational video
(22:47) Bottlenecks in the pipeline: LLMs and time-to-first-token
(26:58) Multimodal models and trade-offs
(27:36) Advice for founders running API businesses
(30:04) Pitfalls to avoid in API businesses
(32:15) Technological breakthroughs in AI
(34:10) Rapid-fire round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Alex Gallego is the founder and CEO of Redpanda, a streaming data platform built for data-intensive applications. They've raised more than $165M in funding from investors such as Lightspeed, GV, and Haystack. He was previously the cofounder and CTO of Concord Systems.
(00:01) Introduction
(00:07) Defining Streaming Data
(04:14) Evolution of Streaming Data Systems Over the Last 10 Years
(09:10) Introduction to Sovereign AI
(14:14) How Sovereign AI Works in Practice
(19:51) Infrastructure Needed for Sovereign AI
(23:48) Sensitive Workloads in Enterprise AI
(28:01) Foundation Models and Streaming Data
(32:41) Breakthroughs in AI Related to Streaming Data
(34:39) Rapid Fire Round
Where to find Alex Gallego:
LinkedIn: https://www.linkedin.com/in/alexandergallego
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Will Lu is the cofounder and CTO of Orby AI, an AI platform to automate people's repetitive tasks. He was previously the Head of Engineering at Google and a Systems Software Engineer at Nvidia.
Will's favorite book: Beyond Enterpreneurship (Authors: Jim Collins and William Lazier)
(00:01) Introduction
(00:07) History of RPA
(01:04) Building Blocks of RPA
(02:34) Drawbacks of Traditional RPA
(05:06) Introduction to AI-Native RPA
(06:38) Advantages of AI-Native RPA
(08:14) Defining Generative Process Automation (GPA)
(10:15) Explanation of Large Action Models
(11:47) Role of AI Agents in Process Automation
(13:11) Data for Building Large Action Models
(14:44) Benchmarking Large Action Models
(15:53) Risk Mitigation in AI-Native RPA
(17:44) Changing Roles in the RPA Industry
(19:14) Adoption of Agent Technologies
(21:03) ROI Measurement in AI-Native RPA
(23:05) Explainability in AI Systems
(24:25) Fast Adoption Teams in Enterprises
(25:15) Handling Unstructured Data
(26:12) Digital Organizations and Future Automation
(27:09) Exciting AI Breakthroughs
(28:03) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Tim Tully is a partner at Menlo Ventures, a VC firm that has invested in companies like Uber, Anthropic, Pinecone, Benchling, Chime, Carta, Recursion, and more. He was previously the CTO of Splunk, a publicly traded company that was acquired by Cisco for $28 billion. Prior to that, he was the VP of Engineering at Yahoo for 14 years.
Tim's favorite book: Infinite Jest (Author: David Foster Wallace)
(00:01) Introduction
(00:07) Evolution of Databases
(03:17) Enduring Business Models in Data Management
(04:41) Challenges and Trade-offs in Database Choices
(06:20) Modern Database Architecture
(09:06) Separation of Storage and Compute
(10:35) Role of Indexing in LLM Applications
(13:20) Handling Different Types of Data in Databases
(14:50) Distributed Databases Explained
(16:20) Real-time Data Handling and Requirements
(18:53) Architecting Data Infrastructure for AI
(21:29) ETL in Modern Data Infrastructure
(24:53) AI's Role in Database Optimization
(27:17) Network Architecture
(30:13) Hardware Improvements and Database Performance
(33:35) Technological Breakthroughs and Investment Opportunities
(35:11) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Brad Porter is the founder and CEO of Collaborative Robotics, where they are building robots that will seamlessly blend into our surroundings. They've raised funding from Sequoia Capital, Khosla Ventures, General Catalyst, and Lux Capital. He was previously the CTO of Scale AI. Prior to that, he was the VP of Robotics at Amazon. He has a bachelors and masters degree from MIT.
Brad's favorite book: Mike Mulligan and His Steam Shovel (Author: Virginia Lee Burton)
(00:00) Introduction
(02:11) Collaborative Robots Explained
(05:17) Building Blocks in Robotics
(11:01) Architecture of a Cobot
(14:12) Safety in Industrial Settings
(18:08) Sensors in Cobots
(20:20) Power Consumption and Optimization
(23:31) Zonal Compute Architecture
(26:34) AI Models for Task Planning
(30:32) Reasoning and Human Interaction
(35:00) Simulation to Real-World Deployment
(38:49) Multi-Robot Coordination
(41:57) Technological Breakthroughs in Robotics
(45:29) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Mehul Nariyawala is the cofounder of Matic where they are building the world's most advanced floor cleaning robots. He was previously the cofounder of Flutter, which was acquired by Google. During his career, he has held roles at Google, Like.com, and Salesforce.
Mehul's favorite books:
- The Martian (Author: Andy Weir)
- Lyndon Johnson series (Author: Robert Caro)
- Shoe Dog (Author: Phil Knight)
- The Making of the Atomic Bomb (Author: Richard Rhodes)
(00:00) Introduction and Core Technologies
(01:26) The Evolution of Floor Cleaning Robots
(09:42) Constantly Updating Maps for Optimal Cleaning
(12:53) Differentiating Between Known and Unknown Objects
(16:03) On-Device Processing for Privacy and Energy Efficiency
(22:31) Data Collection and Privacy in Home Robotics
(24:32) Reducing Noise in Home Robots
(30:04) The Importance of Simplicity in AI Products
(32:17) Overlooked Trends in Robotics: The Rise of Rust
(40:51) Challenges and Opportunities in the Commoditization of Consumer AI
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Krish Ramineni is the cofounder and CEO of Fireflies, an AI meeting assistant that takes notes, transcribes, and analyzes all your meetings. It's used across 300,000 organizations around the world with 70% of the Fortune 500 companies using it. He was previously the cofounder of Rumblii and was at Microsoft working on customer voice analytics.
Krish's favorite book: Genghis Khan and the Making of the Modern World (Author: Jack Weatherford)
(00:04) Introduction
(00:11) State of Play in Voice AI Today
(01:26) User Perception Shift in Voice AI
(01:59) Evolution of Speech to Text Technology
(04:05) Extracting Intelligence from Audio Files
(07:22) Impact of New Technology on Semantic Parsing
(12:46) Modern Capabilities and Gaps in Intent Recognition
(17:23) Advances in Speech Generation and Processing
(20:58) Role of Reinforcement Learning in Voice AI
(24:05) Handling Low Resource Languages with Transfer Learning
(28:32) Lessons from Building and Shipping Voice AI Products
(35:10) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Surge Biswas is the cofounder and CEO of Nabla Bio, an AI platform to enable precise drug design and high-throughput measurement of drug properties. They recently raised $26M Series A led by Radical Ventures. He has a PhD in Bioinformatics and Integrative Genomics from Harvard University.
Surge's favorite book: Permutation City (Author: Greg Egan)
(00:01) Introduction
(00:07) Generative AI in Drug Design
(01:19) Traditional vs. AI-driven Drug Discovery
(03:42) Designing Antibodies
(05:06) Therapeutic Antibodies Design Process
(07:39) Data Sets for AI in Drug Discovery
(10:48) High Throughput Measurement in Drug Discovery
(13:14) Setting Up High Throughput Screening Assays
(18:46) Multiplexed Screens in Drug Discovery
(21:55) Protein Characterization Techniques
(24:33) Protein-Protein Interactions
(28:12) AI in Protein Characterization
(30:55) Technological Breakthroughs in AI and Bio
(32:36) Rapid Fire Round
(36:27) Conclusion
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Michael Kohen is the founder and CEO of SparkAI, a platform that delivers real-time resolutions to longtail AI exceptions in production. SparkAI was acquired by John Deere. He was previously the cofounder of Wonder. He has also held roles at Zoox and Hero. And he got his bachelors degree from Harvard University.
Michael's favorite book: Star Maker (Author: Olaf Stapledon)
(00:00) Introduction and Definition of AI Edge Cases
(02:24) Examples of Edge Cases in Everyday Life
(03:09) Importance of Edge Cases in Various Industries
(04:09) Challenges in Resolving Edge Cases
(08:53) The Potential of Reinforcement Learning in Addressing Edge Cases
(10:48) Continuous Updating and Retraining of AI Models
(29:28) Lessons Learned in Handling Edge Cases
(31:39) Exciting AI Breakthroughs in Hardware Development
(36:18) Advice for Founders: Focus on Creating Value for Customers
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Eric Daimler is the cofounder and CEO of Conexus AI, a data management platform that provides composable and machine-verifiable data integration. He was previously an assistant dean and assistant professor at Carnegie Mellon University. He was the founding partner of Hg Analytics and managing director at Skilled Science. He was also the White House Presidential Innovation Fellow for Machine Intelligence and Robotics.
Eric's favorite book: ReCulturing (Author: Melissa Daimler)
(00:00) Understanding Symbolic AI
(02:42) Symbolic AI mirrors biological intelligence
(06:01) Category Theory
(08:42) Comparing Symbolic AI and Probabilistic AI
(11:22) Symbolic Generative AI
(14:19) Implementing Symbolic AI
(18:25) Symbolic Reasoning
(21:24) Explainability
(24:39) Neuro Symbolic AI
(26:41) The Future of Symbolic AI
(30:43) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Edward Suh is the founder and managing partner of Alpine Ventures, an early stage venture capital fund. He was previously at Goodwater Capital and Redpoint Ventures. He has bachelors and masters degree from Stanford specializing in AI.
Edward's favorite book: Poor Charlie's Almanack (Author: Charlie Munger)
(00:00) Introduction and Investing Framework
(06:02) Cold Emailing and Honest Feedback
(13:23) Biases and Opportunities in the VC Ecosystem
(20:47) Disruption and Ownership in the AI Tech Stack
(24:15) Robotic Process Automation and AI Agents
(26:08) Consumer AI Opportunities
(30:00) Unlocking Opportunities in EdTech
(33:11) Technological Breakthroughs in AI
(35:04) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Julia Klein is a partner at March Capital, a growth-stage VC firm. Prior to this, she was the cofounder and CEO of CareerPeer. She has an MBA from Harvard.
Julia's favorite books:
- Brandon Sanderson's books
- The Nightingale (Author: Kristin Hannah)
- Crime and Punishment (Author: Fyodor Dostoevsky)
- The Will of the Many (Author: James Islington)
(00:00) Introduction
(00:07) What Sets an AI Startup Apart
(05:14) The Rise of Generative AI
(08:00) AI and Digital Biology
(08:38) Opportunities in Computer Vision
(12:02) The Potential of Synthetic Data
(13:55) Metrics and Challenges for AI Startups
(19:27) Important Metrics for Growth Stage AI Startups
(25:12) Exciting Technological Breakthroughs in AI
(27:41) Future Opportunities for AI Founders
(29:28) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Anand Kannappan is the cofounder and CEO of Patronus AI, an automated AI evaluation and security company. They have raised funding from Lightspeed Venture Partners, Replit CEO Amjad Masad, Gokul Rajaram, and Fortune 500 executives. He was previously at Meta and Vertis. He was also the cofounder of Kyber Technologies, which was a service to systematically predict market events using AI and remote sensing data. It evolved into a futures quant hedge fund managing $15M for partners.
Anand's favorite book: Harry Potter series (Author: JK Rowling)
(00:00) Introduction and Common Failure Modes of Large Language Models
(03:02) Challenges of Automated Evaluation in AI Models
(06:08) The Importance of Fine-Tuning and Retrieval Augmented Generation
(09:02) Addressing Copyright Detection in Language Models
(11:51) The Liability of Companies Using AI Models
(15:02) Advancements in Multimodal Models and State Space Models
(20:48) The Role of Fine-Tuning in the Evolution of Language Models
(23:51) The Significance of Adversarial Testing in AI
(25:56) The Role of Retrieval Augmented Generation in AI
(28:05) The Need for Continuous Function Optimization in Prompting
(29:02) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Camilo Acosta is a GP at Perceptive VC, a pre-seed and seed stage venture firm investing in AI-first companies across the US and Latin America. He was previously a product lead at Meta. Prior to that, he was the cofounder and CEO of Pay By Group.
Camilo's favorite book: The Power Law (Author: Sebastian Mallaby)
(00:00) Introduction
(00:29) Key Factors for AI Startup Success
(01:23) Disruptive Opportunities for Startups in the AI Tech Stack
(03:15) Challenges and Opportunities in AI Hardware
(04:15) Assessing Ambitious Hardware Opportunities
(05:23) Promising Trends in Verticalized AI Applications
(06:21) Impactful AI Applications in Healthcare and Education
(08:11) Modes and Building an Edge in AI Startups
(09:10) The Importance of Truth Seeking and Paranoia in Founders
(11:13) Overlooked Opportunities in AI, Particularly Computer Vision
(13:26) Traits of Successful AI Startup Founders
(15:46) Balancing Coachability and Self-Reliance in Founders
(20:43) Personalized Compute Devices and the Future of Hardware
(22:34) Infusing AI into Venture and Private Equity Workflows
(25:34) Exciting Breakthroughs and Seed Fundable Opportunities in AI
(27:44) The Future of AI Investing and the Role of Founders
(29:48) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Anima Anandkumar is a Bren Professor at Caltech. Her work developing novel AI algorithms enables and accelerates scientific applications of AI, including scientific simulations, weather forecasting, autonomous drone flights, and drug design. She has received best paper awards at venues such as NeurIPS and the ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research. She holds degrees from the IIT Madras and Cornell University. She has conducted postdoctoral research at MIT. She was previously principal scientist at Amazon Web Services and senior director at Nvidia.
Anima's favorite book: Hyperspace (Author: Michio Kaku)
(00:00) Introduction
(00:10) The Impact of AI on Science
(02:25) AI Disrupting Physics
(03:02) Challenges in Fluid Dynamics
(06:21) Achieving Orders of Magnitude Speedup
(10:43) AI Discovering New Laws of Physics
(11:45) Complexity of Fluid Dynamics
(15:54) Simulating Physical Phenomena with AI
(22:23) AI for Drones in Strong Winds
(25:16) Optimizing Experiments with AI
(28:19) AI in Quantum Chemistry
(32:38) Technological Breakthroughs in AI
(33:23) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Varun Mohan is the cofounder and CEO of Codeium, an AI code generation tool used by hundreds of thousands of developers. They recently announced their $65M Series B led by Kleiner Perkins with participation from Greenoaks and General Catalyst. He was previously at Nuro. He has a bachelors and masters degree from MIT.
Varun's favorite book: The Idea Factory (Author: Jon Gertner)
(00:00) Introduction and State of Play
(03:03) What Generative AI Can Do Well
(06:10) Introduction to Codeium
(08:53) Handling Different Programming Languages
(11:26) Model Architectures and Optimization
(13:27) Interpreting and Trusting AI Decisions
(18:33) Security and Privacy Considerations
(20:07) Impact on Software Quality and Developers
(21:50) Potential Obsolescence of Programming Languages
(23:39) Handling Edge Cases
(26:07) The Biggest Impact of Generative AI for Coding
(28:27) Technological Breakthroughs in Generative AI
(29:30) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Rajat Bhageria is the founder and CEO of Chef Robotics, where they are building robots that can do the work of assembly line cooks in commercial kitchens. He's also the cofounder and managing partner of Prototype Capital, a pre-seed VC fund. He was previously the cofounder and CEO of ThirdEye, which got acquired in 2017. He has been a writer for Forbes, TechCrunch, and Huffington Post.
Rajat's favorite book: Steve Jobs (Author: Walter Isaacson)
(00:00) Fundamentals of Robotics and AI
(01:44) Sensors in the Kitchen
(03:18) Motion Control in the Kitchen
(07:15) Introduction to Chef Robotics
(10:15) Designing Robotic Grippers for the Kitchen
(14:01) Computer Vision in the Kitchen
(24:31) The Power of Marrying Software and Hardware
(28:00) Energy Consumption in Robotics
(32:18) User Experience in Robotics
(36:32) Technological Breakthroughs and Future of Robotics
(41:28) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Jonathan Godwin is the cofounder and CEO of Orbital Materials, where they're using Generative AI to develop a pipeline of new materials for carbon removal and energy transition. He was previously a Senior Research Engineer at Google DeepMind.
Jonathan's favorite book: The Making of the Atomic Bomb (Author: Richard Rhodes)
(00:07) The Process of Discovering New Materials
(04:20) Building the Foundation Model
(06:42) The Impact of Google's GNoME Project
(08:49) Adding Materials to the Pipeline
(11:08) Computational Screening and AI
(13:43) Material Structures and Properties
(18:41) Material Formation and Degradation
(20:47) Materials for Carbon Removal and Energy Transition
(23:44) Ensuring Material Safety
(27:13) Exciting New Materials
(28:07) Breakthroughs in Material Science
(30:09) The Future of AI in Materials Discovery
(34:07) Rapid Fire Round
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Sergiy Nesterenko is the cofounder and CEO of Quilter, an AI platform to automate circuit board layout. He was previously at SpaceX for 5 years and he has a degree from UC Berkeley. They just announced their $10M Series A round led by Benchmark, one of Silicon Valley's most storied VC firms.
(00:07) What is a PCB and its role in electronic devices
(01:30) Examples of PCBs in everyday life
(04:47) Manual components of the PCB design process
(06:26) Introduction to Quilter and its automation of PCB layout
(07:46) What can be automated in PCB layout design
(08:44) Challenges in PCB layout design
(10:12) The role of AI in automating PCB layout design
(12:25) Criteria for PCB design and material selection
(14:38) Thermal management in PCB design
(15:05) Ensuring signal integrity in PCB design
(19:44) The use of AI in PCB design
(20:08) The future of AI in PCB design
(22:07) The importance of material selection in PCB design
(23:32) The importance of thermal management in PCB design
(24:11) Ensuring signal integrity in densely packed PCBs
(26:59) The potential impact of AI on the PCB design process
(28:47) The importance of aesthetics in PCB design
(29:14) The potential obsolescence of human designers in PCB design
(30:26) Exciting innovations in PCB design
(34:42) The need for systematic access to PCB design information
(36:30) Rapid Fire Round
Sergiy's favorite book: The Lord of the Rings trilogy (Author: J. R. R. Tolkien)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Ari Morcos is the cofounder and CEO of Datology, an automated data curation platform. He was previously an AI research scientist at Meta and DeepMind. He has a PhD in neuroscience from Harvard.
(00:07) Data Curation and its Importance
(03:29) Assessing Data Quality
(06:50) Challenges in Data Curation
(13:27) Types of Data to Remove
(19:33) Relationship Between Data Size and Model Size
(23:22) Choosing the Optimal Subset of Data
(26:23) The Future of Data Curation
(31:29) Impact on Data Management Service Providers
(36:19) Rapid Fire Round
Ari's favorite books:
- The Making of the Atomic Bomb (Author: Richard Rhodes)
- The Cosmere Series (Author: Brandon Sanderson)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Ofer Ronen is the CEO of Tomato.ai, an AI platform to soften speech accents of people as they speak. He was previously at Google where he built Contact Center AI products. Prior to this, he was the cofounder and CEO of Pulse.io and Sendori.
(00:26) Accent Modification in Real Time
(02:21) Training Data for AI Models
(04:14) Overview of Tomato AI
(05:36) Challenges in Modifying Speech Accents
(07:17) Role of Phonetics and Linguistics
(08:19) Handling Intonation and Subtleties in Different Languages
(09:36) Advances in AI for Speech Modification
(11:21) Addressing Societal Bias and Ethical Considerations
(13:08) Expanding Accent Modification to Different Accents
(14:20) Deployment on Mobile Devices and Computational Requirements
(16:02) Disclosure Policy for Accent Modification
(17:59) Future Applications of Speech Modification
(19:48) Ripe Areas for Innovation in Contact Center AI
(22:28) Impact of Generative AI on Speech Modification
(24:53) Demonstrating Success in Contact Center AI
(27:06) Future of AI and Speech Modification
(28:37) Rapid Fire Round
Ofer's favorite book: Life 3.0 (Author: Max Tegmark)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Itamar Arel is the CEO of Tenyx, where they are building intelligent voice AI agents. He was previously the founder of Apprente and Binatix. He was previously a visiting associate professor at Stanford.
(00:22) State of Play in Voice AI
(02:21) Modern Voice Agents
(04:01) Building Voice AI Models
(05:48) The Role of Developers
(08:28) Introduction to Tenyx
(09:52) Innovative Use Cases of Voice AI
(15:20) Challenges in Voice AI
(19:18) Scaling Voice AI Across Languages
(21:45) Combating Misinformation in Voice AI
(24:17) Voice AI and Human Creativity
(26:49) Sensitive Use Cases of Voice AI
(28:48) Voice AI in the Military
(30:32) AI-Generated Voice and Disclosure
(32:28) Future of Voice AI
(34:04) Rapid Fire Round
Itamar's favorite book: Consciousness and the Brain (Author: Stanislas Dehaene)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Apoorv Agrawal is a partner at Altimeter, a tech-focused crossover firm with investments in iconic companies such as Snowflake, Twilio, UiPath, Uber, Okta, Roblox, HubSpot, GitLab, and more. He focuses on software and AI investments. He was previously an investor at Softbank and Steadview. Prior to this, he was building AI software at Rocket Fuel and Palantir as an engineer. He continues to code to this day and has built AltimeterGPT to augment their research efforts. He has a bachelors in computer science and an MBA from Stanford.
(00:33) The Rise of MANG VC
(03:01) Capital Deployed by MANG VC
(04:27) Impact of ChatGPT on Investment Strategies
(07:16) The "Round Trip" Effect
(10:05) Legality and Market Distortion
(12:19) Margin Profiles of AI Businesses
(15:28) Valuing Modern AI Businesses
(18:30) Market Distortions and Downstream Effects
(21:56) Considerations for Raising Capital from MANG VC
(26:19) Role of MANG VC in the Next Two Years
(35:02) Rapid Fire Round
Apoorv's favorite book: Man's Search for Meaning (Author: Viktor Frankl)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Atif Rafiq is the cofounder and CEO of Ritual, a software app to speed up innovation and move ideas to action. He has held C-suite roles at McDonald's, Volvo, and MGM Resorts. He was previously the cofounder/CEO of Covigna, which is a content management software provider. He's the author of the book Decision Sprint, which was featured on the Wall Street Journal's bestseller list.
(00:08) Defining the Future of Work
(02:06) Skills for an AI-First Workplace
(05:46) Evolution of Education Systems
(08:24) Impact of AI on Skilled Professionals
(10:30) Remote Work Effectiveness
(12:47) Equipping Teams with AI Knowledge
(15:46) Career Pivots towards AI
(17:49) Practical Steps for Problem Solving
(20:12) Value of AI Certifications
(21:27) Introduction to Ritual
(23:18) Surprising Discoveries with Ritual
(26:17) The Future Workplace
(29:09) Rapid Fire Round
Atif's favorite book: Thinking, Fast and Slow (Author: Daniel Kahneman)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Curtis Northcutt is the cofounder and CEO of Cleanlab, a data curation platform for LLMs. They have raised $30M in funding from Bain Capital Ventures, Menlo, Databricks, and TQ. He was previously the cofounder and CTO of ChipBrain. He has a PhD in Computer Science from MIT.
(00:07) Data Curation in the Context of LLMs
(01:14) Connection between Language Models and Computer Science
(03:14) Importance of Data Curation for LLMs
(04:06) Challenges in Data Curation for LLMs
(06:09) Confident Learning and its Concept
(09:42) CleanLab and its Role
(12:42) Role of Open Source Datasets and Tooling
(15:08) Balancing Data and Privacy in Regulated Industries
(17:25) Feasibility of Federated Learning
(20:35) Decentralized Compute and Aggregating Compute Clusters
(25:19) Determining Model Size for Data Representation
(27:09) Advice for ML Engineers in Handling Data Curation
(30:20) Rapid Fire Round
Curtis's favorite book: The Bible (in the context of marketing)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
John Dulin is the founder and CEO of Modern Intelligence, where they are building AI foundation models for defense. He was previously at Numerai and Freenome.
(00:00) Introduction
(00:08) The State of AI in Defense
(03:17) AI Impact on Tactics in Conflicts
(09:24) Real-Time Threat Assessment
(18:21) Naval Operations and Maritime Surveillance
(22:28) Startups and Maritime Technologies
(25:58) Naval Dominance and Global Power
(31:20) Multi-Intelligence in Defense
(35:20) The AI Arms Race and the Future of Defense
(38:59) Rapid Fire Round
John's favorite book: Wilhelm Meister's Apprenticeship (Author: Johann Wolfgang von Goethe)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Talia Goldberg is a partner at Bessemer Venture Partners where she focuses on consumer internet, software, and AI. She became the youngest elected partner in firm history. Bessemer is a VC firm with a long and storied history with investments in companies like Twilio, Shopify, Pinterest, LinkedIn, Yelp, Twitch, and many more.
In this episode, we cover a range of topics including:
- Why is consumer the biggest beneficiary of AI
- AI is generating massive consumer surplus
- Why is RLHF only a secondary moat
- Distribution tactics for consumer AI: virality via social proof, the Etsy effect, building for niche communities, standing on the shoulder of giants, "first order irrational, second order rational"
- Conversion tactics for consumer AI: entertainment as conversion, community-driven conversion, gambling psychology
- What does 2024 look like for AI startups and VCs
Talia's favorite book: Poor Charlie's Almanack (Author: Charlie Munger)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Dan Caron is the founder and CEO of Health Universe, where they are building an open source collaboration platform for health AI. He was previously the founder and CTO of Dark Pilot. Prior to that, he was the founder and COO of RxREVU.
In this episode, we cover a range of topics including:
- State of play in Health AI
- Why open source in Health AI
- The founding of Health Universe
- Potential risks of using open source in healthcare
- Regulatory environment
- Open source vs commercial healthcare
- Impact of the open source approach on healthcare providers and global healthcare disparities
- The future of open source in Health AI
Dan's favorite book: Build (Author: Tony Fadell)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Jo Varshney is the founder and CEO of VeriSIM Life, an AI-driven bio-simulation platform that enables pharmaceutical companies to accelerate drug development. She has a PhD in Comparative Oncology and Genomics.
In this episode, we cover a range of topics including:
- State of play in AI-powered drug discovery
- Why is it so difficult to know which drug candidates to pursue?
- The founding of VeriSIM Life
- Role of AI in drug formulation
- Role of AI in drug repurposing
- Role of AI in drug-drug interaction
- How does AI help in evaluating potential toxic effects of a drug candidate?
- What should ML developers know about biochemistry? And about biochemists?
- Determing the efficacy
- De Novo drug design
- Patient stratification
- The future of AI powered drug discovery
Jo's favorite book: Built to Last (Author: Jim Collins)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Mark Gabel is the cofounder and CEO of Laredo Labs, where they are building an AI agent for software engineers. He was previously the Chief Scientist at Viv Labs and an assistant professor at University of Texas at Dallas.
In this episode, we cover a range of topics including:
- Current state of generative AI in software development
- Solver agent
- Characteristics of a good AI assistant
- Context awareness
- Tradeoff between ease of generation and software quality
- The role of programming languages
- Future of Generative AI in software engineering
Mark's favorite books:
- Gödel, Escher, Bach (Author: Douglas Hofstadter)
- On Food and Cooking (Author: Harold McGee)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Jae Lee is the cofounder and CEO of Twelve Labs, where they are building video understanding infrastructure to help developers build programs that can see, hear, and understand the world. He was previously the Lead Data Scientist at the Ministry of National Defense in South Korea. He has a bachelors in computer science from UC Berkeley.
In this episode, we cover a range of topics including:
- What is multimodal video understanding
- State of play in multimodal video
- The founding of Twelve Labs
- The launch of Pegasus-1
- Four core principles: Efficient Long-form Video Processing, Multimodal Understanding, Video-native Embeddings, Deep Alignment between Video and Language Embeddings
- Differences between multimodal vs traditional video analysis
- In what ways can malicious actors misuse this technology?
- The future of multimodal video understanding
Jae's favorite books:
- Deep Learning (Authors: Ian Goodfellow, Yoshua Bengio, Aaron Courville)
- The Giving Tree (Author: Shel Silverstein)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Max Grigorev has been building ML products for a long time. He has worked underwater autonomy and has spent time at Google, Airbnb, and Teralytics.
In this episode, we cover a range of topics including:
- What is underwater autonomy
- State of play in underwater robotics
- Challenges of underwater operations
- Differences between underwater vs land robotics
- Unexplored opportunities in underwater autonomy
- Regulatory hurdles
- Future of underwater autonomy
Max's favorite books:
- Dune (Author: Frank Herbert)
- Pattern Recognition and Machine Learning (Author: Christopher Bishop)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Sam Lessin is a GP at Slow Ventures, an early-stage VC firm based out of San Francisco, Boston, and New York. In the last decade, they have invested in the earliest rounds of over 500 companies including Solana, Robinhood, Venmo, Airtable, Slack, Front, Allbirds, Postmates, and more. He's the cofounder of Fin. He was VP of Product Management at Meta. He has a degree from Harvard.
In this episode, we cover a range of topics including:
- AI technology is great, but AI investing is not a good idea. Why?
- Why is AI just an extending innovation as opposed to a platform shift?
- Why can't $100B platform wins be manufactured?
- Do AI startups have moats?
- AI moment vs cloud computing moment
- AI regulation
- Seed equity "killing fields"
- Meaningful AI use cases
Sam's deck: https://docsend.com/view/e6nd457kgbg8zich
Sam's favorite book: The Lessons of History (Authors: Will and Ariel Durant)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Tristan Zajonc is the cofounder and CEO of Continual, a developer platform for generative AI applications. He previously cofounded Sense, which was a platform for data science and machine learning. It got acquired by Cloudera in 2016. He spent 3 years at Cloudera building ML software. He has a PhD from Harvard.
In this episode, we cover a range of topics including:
- AI as an interface to the world
- Tech stack of the future
- The founding of Continual
- AI product delivery avenues (cloud, on prem, model hubs, packaged solutions)
- Traditional MLOps vs LLMOps
- Open source AI
- AI compute market
Tristan's favorite book: Suburban Nation (Authors: Andres Duany, Elizabeth Plater-Zyberk, Jeff Speck)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Martice Nicks III is the cofounder and CTO of Danti, a search engine for exploring the extensive collections of Earth observation data available today. He was previously at Orbital Insights, Maxar Technologies, and other companies working on geospatial data.
In this episode, we cover a range of topics including:
- What is Earth observation data
- Where does the data come from
- The founding of Danti
- Use cases of Earth Observation data
- How do you index this data and make it searchable
- gSEARCH challenge
- What AI tools are being built for defense purposes
Martice's favorite books:
- The 7 Habits of Highly Effective People (Author: Stephen R. Covey)
- Dresden Files (Author: Jim Butcher)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Nicolas Tilmans is the cofounder and CEO of Anagenex, an AI-powered drug discovery platform. They have raised $37M in funding so far from investors such as Lux Capital, Khosla Ventures, Air Street, Menlo, and Catalio. He was previously the VP of Engineering at Lumiata. He has a PhD in Biochemistry from Stanford.
In this episode, we cover a range of topics including:
- What are small molecule drugs and why are they challenging to develop
- The founding of Anagenex
- Data generation engine
- DNA Encoded Libraries (DELs)
- Affinity Selected Mass Spectrometry
- Identifying the right targets
- What's next for AI-infused drug discovery
Nicolas's favorite books:
- Tomorrow, and Tomorrow, and Tomorrow (Author: Gabrielle Zevin)
- Letters by Abraham Lincoln (Author: Abraham Lincoln)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Flo Crivello is the founder and CEO of Lindy, where they are building a personal AI assistant. He was previously the founder and CEO of Teamflow. Prior to that, he was at Uber where he led the development of Uber Works and JUMP Starter.
In this episode, we cover a range of topics including:
- Evolution of intelligence
- The dawn of digital life
- Artificial General Intelligence
- White House's Executive Order on AI
- The founding of Lindy AI
- Large foundation models vs smaller specialist models
- Nvidia's position in the AI ecosystem, its strengths and weaknesses
- Building AI agents
Flo's favorite book: Atlas Shrugged (Author: Ayn Rand)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Vikram Sreekanti is the cofounder and CEO of RunLLM, a developer platform for the LLM stack. They have raised funding from investors such as Redpoint and Essence. He has a PhD in Computer Science from UC Berkeley.
In this episode, we cover a range of topics including:
- OpenAI DevDay announcements
- Are long context windows useful?
- Open source AI
- The founding of RunLLM
- Large foundation models vs smaller specialist models
- Why is OpenAI too cheap to beat?
- Nvidia's strengths and potential weaknesses
Vikram's favorite book: Slaughterhouse-Five (Author: Kurt Vonnegut)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Douwe Kiela is the cofounder and CEO of Contextual AI, where they are building the next generation of foundation models that provide fully customizable, trustworthy, and privacy-aware AI. He is also an Adjunct Professor at Stanford. He was previously the Head of Research at Hugging Face and a research scientist at Meta. He has a PhD in Computer Science from the University of Cambridge.
In this episode, we cover a range of topics including:
- Open source vs closed source AI
- White House's Executive Order on AI
- Enterprise needs when it comes to LLMs
- The founding of Contextual AI
- What does RAG 2.0 look like for LLMs
- Large foundation models vs smaller specialist models
- Do Big tech companies have an unassailable lead in AI?
- Size of the data vs size of the model. What is more important and why?
- How will the AI compute market shape up?
Douwe's favorite books:
- The Lord of the Rings trilogy (Author: J.R.R. Tolkien)
- The Count of Monte Cristo (Author: Alexandre Dumas)
- Amp It Up (Author: Frank Slootman)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Ville Tuulos is the cofounder and CEO of Outerbounds, a platform to develop and deploy production-grade AI applications. They have raised $24M in funding so far from investors such as Foundation, Amplify, and Greenoaks. He was previously at Netflix and AdRoll. Prior to that, he was the cofounder of Bitdeli.
In this episode, we cover a range of topics including:
- Origin of the open source framework Metaflow
- The founding of Outerbounds
- AI compute clusters
- Large foundation models vs smaller specialist models
- Training compute-optimal LLMs
- Industrial AI
- Multimodal AI
- Building LLMs through experimentation
- How will the AI compute market shape up (chips, cloud services, infrastructure platforms)
Ville's favorite book: Surely You're Joking, Mr. Feynman! (Author: Richard Feynman)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
In this episode, the host Prateek Joshi talks about Nvidia's new AI agent called Eureka. It can train robots to do all sorts of complex tasks.
Large language models like GPT-4 are really good at making plans and decisions for certain tasks. But when it comes to teaching robots to do complicated physical stuff, like spinning a pen around their fingers, they've been a bit clumsy. That's where Eureka comes in. Eureka takes the best parts of LLMs and uses them to create a reward system for teaching robots.
Blog post: https://blogs.nvidia.com/blog/2023/10/20/eureka-robotics-research/
Paper: https://arxiv.org/abs/2310.12931
Code: https://github.com/eureka-research/Eureka
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
In this episode, the host Prateek Joshi talks about 13 areas in Biology where Generative AI is going to make a big impact:
1. Drug discovery
2. Protein design
3. Synthetic data generation
4. Discovering gene regulatory networks
5. Metagenomics
6. Ecology
7. Drug repurposing
8. Genome assembly
9. Disease prediction and diagnosis
10. Single-cell transcriptonomics
11. Evolutionary biology
12. Protein-Protein interaction
13. Personalized medicine
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
In this episode, the host Prateek Joshi talks about LLMs learning to represent space and time.
Here's the paper where the authors have discussed it in detail: https://browse.arxiv.org/pdf/2310.02207.pdf
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
In this episode, the host Prateek Joshi talks about the Reversal Curse phenomenon in LLMs.
Here's the paper where the authors have discussed it in detail: https://owainevans.github.io/reversal_curse.pdf
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Ali Golshan is the cofounder and CEO of Gretel AI, a synthetic data platform for ML developers. They have raised $65M in funding so far from investors such as Greylock and Anthos. He was previously the cofounder of StackRox, which was acquired by Red Hat for about $450M. Prior to that, he was the cofounder of Cyphort, which was acquired by Juniper Networks.
In this episode, we cover a range of topics including:
- The need for synthetic data
- Techniques to generate synthetic data
- How can AI enhance the synthetic data generation process
- Computational irreducibility
- Differential privacy
- Measuring the performance of the engine that generates synthetic data
Ali's favorite books:
- The Order of Time (Author: Carlo Rovelli)
- The Coddling of the American Mind (Authors: Greg Lukianoff and Jonathan Haidt)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Alex Ratner is the CEO of Snorkel AI, a platform that provides programmatic data labeling and foundation models to enable companies to build AI applications. They've raised $135M so far from amazing investors such as Addition, Greylock, Google Ventures, and Lightspeed. He was previously the cofounder and CEO of SiftPage. He has a bachelors degree from Harvard and a PhD from Stanford.
In this episode, we cover a range of topics including:
- Making AI data development first-class and programmatic
- The data-centric step for every model-centric step
- False dichotomy of fine tuning vs RAG
- Foundation model dynamics: winner take all vs diverse models
- Training compute-optimal LLMs
- Designing multimodal datasets (DataComp)
- Distilling Step-by-Step
- 'GPT-You' for every enterprise
Alex's favorite books: Foundation series books (Author: Isaac Asimov)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Riddhiman Das is the CEO of TripleBlind, a privacy platform for AI. They have raised $32M in funding, with their most recent round led by General Catalyst. He was previously the Head of International Technology Investments at Ant Financial, which is Alibaba's financial services arm. He was the Product Architect at Zoloz, Chairman at Laplacian, Chief Data Offier at mySideWalk, and CTO of Galleon Labs. He has received the 2013 White House Champions of Change from President Barack Obama.
In this episode, we cover a range of topics including:
- Attack surface of an AI application
- What are the ways in which privacy can be compromised during training and deployment of AI models
- Role based access control for Generative AI applications
- Data leakage in Generative AI applications
- Characteristics of a good privacy product
- How is TripleBlind used in healthcare and financial sectors
Riddhiman's favorite book: Twenty Thousand Leagues Under the Sea (Author: Jules Verne)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
In this episode, the host Prateek Joshi talks about AI infrastructure ideas and categories including:
Model infrastructure:
- Compute hardware
- ML frameworks
- Foundation model providers
- Distributed model training
- Model deployment
- Building and serving verticalized models
- Streaming ML models
- Monitoring and logging
- Experimentation framework
- On-device applications
- Orchestration platform
- Latency
- User feedback loop
Data infrastructure:
- Storage hardware
- Data acquisition
- Databases
- Data labeling
- Cataloging product usage data
- Privacy and security
- Backup and redundancy systems
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Molham Aref is the CEO of RelationalAI, an AI coprocessor for the data cloud. They have raised $122M in funding from the likes of Tiger Global, Madrona, Addition, and Menlo Ventures. He is a serial enterpreneur and has been the CEO of LogicBlox, Predictix, and Optimi.
In this episode, we cover a range of topics including:
- Relational knowledge graphs
- Knowledge graphs for AI-driven applications
- What is an AI coprocessor
- Graph analytics
- Interaction between ML infrastructure and knowledge graph infrastructure
- Data infrastructure for AI compute
Molham's favorite book: The Datapreneurs (Author: Bob Muglia)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
In this episode, the host Prateek Joshi talks about:
- why do we care about this problem
- who needs it
- how does it work
- list of 8 strategies to speed up ML
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Anand Babu "AB" Periasamy is the cofounder and CEO of MinIO, a high performance object storage for AI that's built for large scale workloads. They have raised $126M in funding from the likes of General Catalyst, Softbank, Intel Capital, and Nexus Venture Partners. It's the world's fastest growing object storage company with more than 1 billion Docker pulls and more than 35K stars on GitHub. He's also an angel investor with investments in companies like H2O.ai, Isovalent, Starburst, Postman, and many more. He was previously the cofounder and CTO of Gluster, which got acquired by Red Hat.
In this episode, we cover a range of topics including:
- Why is storage important for AI workflows
- What are the characteristics of a good data storage product
- Repatriation of data from public cloud to on-prem
- Running ML experiments in parallel
- AI compute offerings from data infrastructure providers
- Making data infrastructure faster and cheaper
AB's favorite book: An Awesome Book! (Author: Dallas Clayton)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Eran Yahav is the cofounder and CTO of Tabnine, an AI assistant that developers can use to build software faster. He's a professor at Technion - Israel Institute of Technology and was previously a researcher at IBM. He has a PhD in Computer Science from Tel Aviv University.
In this episode, we cover a range of topics including:
- Tasks in software development
- What tasks are likely to benefit from LLMs
- The launch of Tabnine Chat
- Characteristics of a good AI coding assistant
- Making AI coding assistants context-aware
- Generic LLMs vs domain specific LLMs
- AI copilot for devops work
Eran's favorite book: Catch-22 (Author: Joseph Heller)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
In this episode, the host Prateek Joshi talks about:
- why do we need data orchestration
- what exactly is it
- how does it work
- where is it used in the real world
- market landscape of tools
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Karthik Dinakar is the cofounder and CTO of Pienso, an interactive AI platform anyone can use to turn text data into insights without requiring any coding. He has a PhD in Machine Learning from MIT. He has held roles at MIT Media Lab, Microsoft, and Deutsche Bank.
In this episode, we cover a range of topics including:
- Tech stack of Generative AI applications
- Problem with general purpose LLMs
- Training LLMs on my own data
- Making LLMs faster and cheaper
- Shortage of AI compute
- Context windows
- Pursuit of AGI
Karthik's favorite books:
- Introduction to Algorithms (Authors: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein)
- Mindstorms: Children, Computers, And Powerful Ideas (Author: Seymour Peypert)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
In this episode, the host Prateek Joshi talks about 7 skills that ML builders should develop when they build products.
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Venkat Venkataramani is the cofounder and CEO of Rockset, a real-time search and analytics database built for the cloud. They've raised more than $60M in funding from the likes of Greylock and Sequoia. He was previously at Meta for 8 years and Oracle for 5.5 years. He has spent his entire life building data products, so he has a ton of insights on this topic.
In this episode, we cover a range of topics including:
- Separation of storage and compute
- Isolating compute for ingest and query
- Converged Index
- Vector search
- Stream Processing Systems vs Real-Time Analytics Databases
- Data infra for AI applications
- Bringing compute to data
Venkat's favorite books:
- The Hitchhiker's Guide to the Galaxy (Author: Douglas Adams)
- The Three-Body Problem (Author: Liu Cixin)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
In this episode, the host Prateek Joshi talks about:
- The concept of Geometric Deep Learning
- Why do we need it
- How does it work
- Where is it used in the real world
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Luis Ceze is the cofounder and CEO of OctoML, a platform that offers compute infrastructure to fine-tune, run, and scale your AI models. He's a professor at University of Washington and a venture partner at Madrona. He was previously the cofounder of Corensic. He has a PhD in Computer Science from University of Illinois Urbana-Champaign.
In this episode, we cover a range of topics including:
- OctoAI product announcement
- How to make LLMs faster and cheaper
- Training your own LLMs
- The perceived shortage of AI compute
- Enterprise spend on AI compute
- Applications being built using OctoML
- Domain specific models
Luis's favorite books:
- Thinking, Fast and Slow (Author: Daniel Kahneman)
- Blindness (Author: Jose Saramago)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Doing customer discovery is a critical skill that founders need to develop in the early stages of their AI startup's journey. In this episode, the host Prateek Joshi talks about 9 steps to do customer discovery for AI products.
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Andre Zayarni is the cofounder and CEO of Qdrant, an open-source vector database company. He was previously the CTO of MoBerries building a next generation HR product based on AI and Real-time. He's been building software products for 20+ years.
Karthik Dinakar is the cofounder and CTO of Pienso, an interactive AI platform anyone can use to turn text data into insights without requiring any coding. He has a PhD in Machine Learning from MIT. He has held roles at MIT Media Lab, Microsoft, and Deutsche Bank.
In this episode, we cover a range of topics including:
- Why do we need vector databases?
- What type of applications need a vector database?
- When choosing a vector database, what characteristics should a developer look for?
- What are the building blocks of generative AI applications?
- What can LLMs do well and where are the gaps?
- What LLM applications are being built in the enterprise?
- Retrieval Augmented Generation
- What's the importance of vector databases in vertical AI?
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
In this episode, the host Prateek Joshi talks about why we need Federated Learning, how it works, and where it's used in the real world.
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Timothy Chen is the founder and general partner at Essence Ventures, a VC firm that specializes in data infrastructure and developer tools. Prior to Essence, he was the SVP of Engineering at Cosmos, a popular open source blockchain SDK. He cofounded Hyperpilot with Stanford Professor Christos Kozyrakis to disrupt the enterprise infrastructure space, which later exited to Cloudera. He was an early employee at Mesosphere and CloudFoundry. He is also active in the open source space as an Apache member.
In this episode, we cover a range of topics including:
- Using LLMs for devops work
- Open source AI
- How to spot open source investment opportunities
- Data infrastructure opportunities
- AI infrastructure opportunities
- Security and privacy
Timothy's favorite book: Behind The Cloud (Author: Marc Benioff)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
AI has been attracting talent from many different sectors. In this episode, the host Prateek Joshi talks about 11 things to keep in mind for software engineers to get into AI.
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Jon Turow is a partner at Madrona, a VC firm that has invested in amazing companies like OctoML, HighSpot, Fixie, Clari, Runway, UiPath, and many more. He holds 26 patents! Most recently, he led the product teams for AWS Computer Vision AI services, including Amazon Textract and Amazon Rekognition. He wrote the original product and business plans for AWS IoT and AWS Greengrass, which extend AWS services to run locally on edge devices. Prior to Amazon, he co-founded a cloud telephony startup. He holds a bachelor's from Wharton and an MBA from Kellogg.
In this episode, we cover a range of topics including:
- The Generative AI stack
- Application frameworks for developers
- Using a combination of multiple foundation models
- Data tooling for AI applications
- Making LLMs faster/better/cheaper
- The Android moment of AI
- Open source AI opportunities
- AI copilots for software development
- What use cases within AI infrastructure are exciting to you
Jon's favorite book: Night Flight (Author: Antoine de Saint-Exupéry)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Sam Baker is an investor at Scale Venture Partners, a VC firm that has invested in amazing companies such as HubSpot, DocuSign, Box, Bill.com, Root Insurance, and many more. He was named to Business Insider's list of Rising Stars in Venture Capital. Prior to joining Scale, he was a Growth Manager at Tilt.com that was acquired by Airbnb. Before that, he worked at Box. He began his career at Glouston Capital Partners, an investment firm focused on private equity and venture capital secondaries.
In this episode, we cover a range of topics including:
- Robotics use cases in the warehouse, what functions can be automated
- Why is the focus shifting to platforms
- Why is the supply chain industry defined by exception handling and what can be done to address it
- Collaboration between humans and machines
- Robotics in the construction industry
- Robotics in the restaurant industry
- Startup trends within AI + robotics
Sam's favorite books:
- Pour Your Heart Into It: How Starbucks Built a Company One Cup at a Time (Author: Howard Schultz)
- Hatching Twitter (Author: Nick Bilton)
- Endurance (Author: Alfred Lansing)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Amr Awadallah is the founder and CEO of Vectara, an LLM-powered search company that enables customers to understand exactly what their users are asking. They just announced that they've raised a $28.5 Million round led by Race Capital. He was previously the founder of Cloudera, which went IPO and then was acquired for $5.3 Billion. He has held roles at Google Cloud, Yahoo, Nortel, and HP Labs before this. He has a Phd from Stanford.
In this episode, we cover a range of topics including:
- How search engines work
- Generative AI conversational search
- Hallucination problem in LLMs
- Grounded Generation
- Fine tuning vs In-context learning
- Typical use cases within enterprise search
- Generative AI companies he's excited about
Amr's favorite book: Sapiens (Author: Yuval Noah Harari)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Naveen Rao is the cofounder and CEO of MosaicML, a platform that enables you to train and deploy large AI models on your data in your secure environment. They've raised funding from amazing investors such as Lux Capital, Data Collective, and Maverick Ventures. Prior to this, he was the cofounder of Nervana. It got acquired by Intel for $408M.
In this episode, we cover a range of topics including:
- AI compute workloads
- Compute platform for training and inference
- How to train your own LLM
- Ways to reduce the cost of training AI models
- Advantages of training domain specific models
- In-context learning
- Context windows of LLMs
- Moat of AI-infused businesses
Naveen's favorite book: The Righteous Mind (Author: Jonathan Haidt)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Harry Glaser is the cofounder and CEO of Modelbit, a platform for data scientists to deploy machine learning models. He was previously the cofounder and CEO of Periscope Data, which raised more than $50M in funding from investors such as Bessemer, Threshold, Susa, and others. Periscope got acquired for $130M by SiSense. Prior to that, he was a product manager at Google.
In this episode, we cover a range of topics including:
- Key learnings from Periscope
- What experiments did he run at Periscope during the product-market fit discovery phase
- How to hire executives
- Motivation behind launching Modelbit
- How is Modelbit being used today
- Content marketing for developer tooling companies
- Top 2-3 favorite use cases for Modelbit
Harry's favorite books:
Two books by Kazuo Ishiguro -- The Remains Of The Day, Never Let Me Go
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Matt Welsh is the cofounder and CEO of Fixie, an automation platform for LLMs. It allows developers to build natural language agents that connect to your data, talk to APIs, and solve complex problems. They've raised $17M from investors such as Redpoint, Madrona, Zetta, SignalFire, Bloomberg Beta, and more. He has previously held roles at OctoML, Apple, Xnor, and Google. He was a Professor of Computer Science at Harvard and has a PhD in Computer Science from UC Berkeley.
In this episode, we cover a range of topics including:
- LLMs as the new computational engine
- What can LLMs do well and where are the gaps
- Fine-tuning vs In-context learning
- Smart Agents
- Few shot learning
- Use cases of Fixie
Matt's favorite book: The Amazing Adventures of Kavalier & Clay (Author: Michael Chabon)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Aditya Naganath is an investor at Kleiner Perkins, a legendary VC firm with investments in companies such as Google, Amazon, Spotify, Doordash, Slack, Intuit, UiPath, Figma, and many more. Prior to this, he was a product manager at Google focusing on growth initiatives for the SMB monetization team within emerging markets. He has previously been in technical roles at Palantir, Twitter, and Nextdoor. He earned a patent during his time at Twitter for a technical analytics product he co-created. And he has a bachelor’s degree in Computer Science from Columbia University and an MBA from Stanford.
In this episode, we cover a range of topics including:
- Uses of AutoGPT
- How to intervene when AutoGPT gets stuck and how to provide feedback
- ChatGPT Plugins
- Generative AI in the enterprise
- Context windows of LLMs
- What new emergent properties can be uncovered if LLMs can reason over larger context windows
- LLMs for developers
- AI landscape and investment opportunities
Aditya's favorite book: Factfulness (Author: Hans Rosling)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Elad Gil is an entrepreneur, operator, and and investor. He has invested in and advised companies such as AirBnB, Stripe, Figma, Airtable, Samsara, Coinbase, Flexport, Gitlab, Gusto, Instacart, Notion, Pinterest, Rippling, and many more. He was the cofounder and Chairman at Color Genomics. Prior to that, was the VP of Corporate Strategy at Twitter. He was the cofouder and CEO MixerLabs, which got acquired by Twitter. He has held roles at Google and McKinsey. He has a PhD from MIT.
In this episode, we cover a range of topics including:
- How will the AI market structure evolve?
- What products can startups build to make LLMs faster/better/cheaper?
- How is Generative AI being used in the enterprise today?
- How are customers spending money for AI-related work?
- What is AutoGPT and how can businesses use it?
- What AI copilot products can be built?
- How are LLMs being used for software development?
- How will the AI infrastructure market shape up?
- Building a moat for AI-infused businesses
- Open source opportunities in AI
- What's the state of play in the AI application market?
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Jerry Liu is the cofounder and CEO of LlamaIndex. He is the creator of the open source tool that's also named LlamaIndex, which provides a central interface to connect your LLMs with external data. He has previously held roles at Quora, Uber, and Robust Intelligence. He has a computer science degree from Princeton.
In this episode, we cover a range of topics including:
- What can LLMs do well and where are the gaps
- How to connect LLMs to external data
- What does LlamaIndex do
- Fine-tuning LLMs
- In-context learning
- Application that are getting built on top of LlamaIndex
Jerry's favorite books: Harry Potter series (Author: J.K. Rowling) and The Hard Thing About Hard Things (Author: Ben Horowitz)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Matt Turck is a Partner at FirstMark Capital where he focuses primarily on early-stage enterprise investing. He is particularly active in the data, machine learning, and AI. Since 2011, he has been organizing Data Driven NYC, the largest data/AI community in the US. Since 2012, he has been publishing an annual landscape of the data/AI industry, the MAD report. Earlier in his career, he was the co-founder of TripleHop, an enterprise search software startup that was acquired by Oracle. Immediately prior to FirstMark, he was a Managing Director at Bloomberg Ventures, the incubation arm of Bloomberg LP, which he helped start.
In this episode, we cover a range of topics including:
- AI going mainstream with ChatGPT
- ChatGPT Plugins
- Generative AI in the enterprise
- AI startup landscape
- "Copilot for X" products
- What gets him excited about an investment opportunity
- The moat of AI-infused businesses
- GTM motion of successful AI startups
Matt's favorite books: All the books in the Incerto series (Author: Nassim Nicholas Taleb)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Bob van Luijt is the cofounder and CEO of Weaviate. They build, maintain, and commercialize the open-source vector database called Weaviate. They've raised funding from amazing investors such as Index and NEA. He is the Chairman of Creative Software Foundation, a nonprofit located in The Netherlands with a sole focus on open source and creative software.
In this episode, we cover a range of topics including:
- What are vector embeddings
- What's a good vector representation
- What is vector search and why do we need it
- What is a vector database and why do we need it
- How does a vector database work in practice
- Applications that use vector databases
Bob's favorite book: The Creative Act (Author: Rick Rubin)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Jake Saper is a General Partner at Emergence Capital, one of the best SaaS VCs in the world. They've invested in iconic companies such as Salesforce, Zoom, Veeva, Gusto, Box, and Bill.com. He was previously at Kleiner Perkins as part of their Green Growth Fund and has an MBA from Stanford.
In this episode, we cover a range of topics including:
- Limitations of generative AI in B2B SaaS
- Iterative AI vs Generative AI
- How to solve the user engagement problem with AI
- Coaching networks
- Pricing model for AI companies
- How to build a moat
- How you invest in startups
- GTM motion of successful AI companies
- AI market trends
Jake's favorite book: Freedom at Midnight (Authors: Larry Collins and Dominique Lapierre)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Jessica Leao is a Principal at Maverick Ventures, a global investment firm that has been investing in early stage companies for over 25 years. She was previously the founder and GP at The 21 Fund, a $2M seed fund building and investing in the next generation of startups out of Stanford Graduate School of Business. She's been the Managing Partner at the Dorm Room Fund, which is backed by First Round Capital. She's also held roles at Palantir, Fortress Investment Group, and Goldman Sachs.
In this episode, we cover a range of topics including:
- AI compute landscape
- Trends and opportunities in AI infrastructure
- "Copilot for X" business model
- GTM motion of AI businesses
- Using AI in legacy industries
- How she invests in startups
Jessica's favorite book:
Klara and the Sun (Author: Kazuo Ishiguro)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Leo Polovets is a cofounder and General Partner at Susa Ventures, a seed stage firm that has invested in iconic companies such as Robinhood and Flexport. Prior to Susa, he was the second engineering hire at Linkedin where he helped build the first versions of products like LinkedIn Jobs and LinkedIn Groups. He then worked on payment fraud detection algorithms at Google, and was also an early engineer at Factual, where he built data cleaning, processing, and deduping software. And he has an engineering degree from Caltech.
In this episode, we cover a range of topics including:
- How to derisk a startup
- PMF risk, market risk, and funding risk
- How should enterprise SaaS founders think about the first 10 customers (choice of customers, how to find them, how to convince them)
- How should VCs think about providing feedback on pitches (why is it important and how to do it well)
- Pricing mechanics
- How should seed stage companies think about moat
- AI-infused software applications
- What gets him excited about an investment opportunity
- GTM motion of successful seed stage startups
Leo's favorite books:
- A Guide to the Good Life (Author: William Irvine)
- Traction: How Any Startup Can Achieve Explosive Customer Growth (Authors: Gabriel Weinberg and Justin Mares)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Brian Raymond is the founder and CEO of Unstructured. They provide open source libraries and APIs to build custom preprocessing pipelines for labeling, training, and production machine learning pipelines. They've raised a seed round from BCV, Mango, and Essence. He was previously the VP of Global Public Sector at Primer. Prior to that, he has held roles at CIA and the National Security Council.
In this episode, we cover a range of topics including:
- The need for data preprocessing
- LLM use cases that are exciting
- What AI use cases are useful to government agencies
- How should startups think about building for the government
- Building the user base for Unstructured
- 4 pillars of the emerging tech stack for LLMs
- Open source software
Brian's favorite books: Chip War, The Main Enemy, Damascus Station, The Red Sparrow Trilogy
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Ofir Zuk is the cofounder and CEO of Datagen, a platform that provides synthetic data to train and test AI models. They have raised more than $70M in funding so far with Scale Venture Partners leading their latest round. He was previously the cofounder of Click Frauds and has held engineering roles at Check Point and Squeeck.
In this episode, we cover a range of topics including:
- The need for synthetic data
- Different methods that are used to generate synthetic data
- What role does AI play in generating synthetic data
- Generative Adversarial Networks
- Synthetic data vs simulated data
- Measuring the performance of synthetic data
- Fidelity vs privacy
Ofir's favorite book: The Hard Thing About Hard Things (Author: Ben Horowitz)
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Ala Shaabana is the cofounder of Bittensor, an open-source protocol that powers a decentralized machine learning network. He has a PhD in computer science and has previously held roles at Instacart and VMware.
In this episode, we cover a range of topics including:
- Key metrics of the decentralized network: Maintaining the optimal amount of competition, Difficulty, Total TAO staked, and Sequence length
- Challenges of decentralized compute
- Making heterogeneous nodes work together
- Bandwidth constraints
- Security considerations
- Mechanism to maximize utilization
- Measuring the value of Server responses
Ala's favorite book: The Basic Laws of Human Stupidity (Author: Carlo M. Cipolla)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Vishnu Ram Venkataraman is the VP of Data Science and Engineering at Credit Karma. Over the last 8.5 years, he has built their Recommendation systems and Machine Learning infrastructure for their 120 Million members and growing. Before that, he has held leadership roles at Nykaa and Games24x7. He has degrees from IIT Bombay and IIM Ahmedabad, two of the most premier educational institutes in India.
In this episode, we cover a range of topics including:
- How they build ML products at Credit Karma
- Use cases of ML in finance
- Challenges of building ML products in finance
- Failure modes of ML models
- Tackling bias in ML systems
- Building reliability into ML systems
- Maintaining product discipline as you scale
- Advice for developers who want to incorporate ML into their products
Vishnu's favorite book:
Chip War (Author: Chris Miller)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Jill Chase is a partner at CapitalG where she focuses on AI, data, infrastructure, and devops. Previously, she was the cofounder of Nimble and the CEO at Interlaced. She got her MBA at Stanford and is a guest lecturer there as well.
In this episode, we cover a range of topics including:
- Delivery models for AI businesses (BYOML and MLaaS)
- Your viewpoint on companies building AI compute infrastructure
- Consumer software in AI
- AI-infused software development applications
- Cost structure of ML businesses vs SaaS businesses
- Application companies vs full stack companies in AI
- AI market trends
- How do you evaluate investment opportunities
Jill's favorite books: High Growth Handbook, Silent Killer (by Beverly Barton)
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Ittai Dayan is the cofounder and CEO of Rhino Health. It's a platform powered by federated learning and edge compute technology that allows the scaling of data between different institutions without sharing data or compromising privacy. Prior to that, he has held roles at Harvard Medical School, Mass General Brigham, BCG, and Israeli Defense Forces.
In this episode, we cover a range of topics including:
- What is federated learning
- How federated learning is used in healthcare
- How is AI being used in medicine and healthcare
- Lifecycle of healthcare AI
- Tackling algorithmic bias
Ittai's favorite book: The Story of San Michele by Axel Munthe
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Amanda Robson is a partner at Cowboy Ventures. She works with enterprise companies focusing on software infrastructure companies. She has a passion for open source companies and co-hosts the Open Source Startup Podcast. Before joining Cowboy, she was an early-stage investor at Norwest where she worked with a number of enterprise software companies including 6 River Systems, Fossa, and Dremio. She is the proud founder of Modern Angels - a community and database of 200+ female and non-binary angel investors. She also co-leads the VC Champions program for All Raise, and co-chairs NextGen Partners, an organization that helps up-and-coming investors get the support and access they need to be successful.
In this episode, we cover a range of topics including:
- How she got into VC
- Open source projects
- How she invests in open source companies
- Software infrastructure market landscape
- Investment framework
- Trends in AI/ML
- The role of AI in software infrastructure
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Pauline Yang is a partner at Altimeter Capital, a tech-focused crossover firm based in Menlo Park. She joined the team in 2017 and has worked on investments in Confluent, Epic Games, Gitlab, H1, Reify Health, Transposit, Unity, UiPath, and Workato. Prior to joining Altimeter, she was an investor at Berkshire Partners, a middle-market private equity firm where she focused on vertical software and consumer investments. She began her career working on M&A transactions at Blackstone. She graduated from Dartmouth College with a BA in economics.
In this episode, we cover a range of topics including:
- How she got into VC
- Investment framework at crossover funds
- Trends in AI/ML
- Killer apps in AI
- AI infrastructure
- Generative AI
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Sebastian Raschka is one of the most well known AI authors in the world. He is an AI researcher with a strong passion for education. As Lead AI Educator at Lightning AI, he is making AI more accessible and teaching people how to utilize AI at scale. He's been an Assistant Professor of Statistics at the University of Wisconsin-Madison, focusing on deep learning research. You can learn more about him on his website.
In this episode, we cover a range of topics including:
- Framework for writing great books
- State of play in AI research
- AI to analyze protein structure
- Killer apps in AI
- AI infrastructure
- How he chooses tools for his projects
- His outlook on generative AI
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Max Abram is an investor at Scale Venture Partners, a VC firm with investments in companies like HubSpot, Box, DocuSign, and more. He was previously at Kayne Anderson's growth equity group. He holds a degree from the University of Pennsylvania where he was a varsity lightweight rower. He is an endurance athlete, which comes in handy in venture. He spends free time reading fiction and exploring his new home base in the SF Bay Area.
In this episode, we cover a range of topics including:
- Generative AI index
- Use cases he's excited by
- His learnings as an investor
- Trends he's witnessing in the AI market
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Svet Penkov is the cofounder and CEO of Efemarai, a platform to test and improve machine learning code. He is the chairman of the board at AI Cluster Bulgaria. And he has a PhD in Robotics and AI.
In this episode, we cover a range of topics including:
- Why we need ML testing
- ML testing methods
- How did he discover the problem that led to launching Efemarai
- The role of synthetic data in testing
- Edge cases
- Building reliability into ML pipelines
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
Sujith Ravi is the founder and CEO of SliceX AI, a platform that allows you to train and deploy AI models across devices and use cases. Previously, he founded and headed multiple ML teams at Google AI and Amazon Alexa. It spanned conversational AI, graph & deep learning, and on-device machine learning technologies. These products are used by billions of people in Search, Ads, Assistant, Gmail, Photos, Android, Cloud, and YouTube. At Google, he invented ML technologies like Smart Reply for conversational AI; Web and Image Search; On-Device ML in Android and Assistant; Neural Structured Learning in TensorFlow; Learn2 Compress for Google Cloud; and TensorFlow Lite for edge devices.
In this episode, we cover a range of topics including:
- How to build ML products
- How to deploy ML on edge devices
- Key constraints of on-device ML
- AI-powered content generation
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Nathan Benaich is the founder of Air Street Capital, a venture capital firm investing in AI-first technology and life science companies. He is the coauthor of State of AI report, an annual report that analyses the most interesting developments in AI. He has degrees from University of Oxford and University of Cambridge.
In this episode, we cover a range of topics including:
- How he got into VC
- How he evaluates AI startups
- His decision making framework for investments
- His views on generative AI
- Legal and copyright issues
- Creating business value with AI
- Future trends in the AI market
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Rob Toews is a partner at Radical Ventures, a VC firm that invests in world's leading AI startups. Rob leads their investment efforts in the San Francisco Bay Area. He was previously at Highland Capital focusing on AI investments. He was in an operational role at Zoox, an autonomous vehicle company that got acquired by Amazon for $1.3B. He is an AI columnist at Forbes. He has a bachelors degree from Stanford. And an MBA and JD from Harvard.
In this episode, we cover a range of topics including:
- How he got into VC
- How he evaluates AI startups
- His decision making framework for investments
- The business of AI
- Generative AI, Large language models, Robotics, and MLOps
- Future trends in AI
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Helen and Dave Edwards are serial entrepreneurs. As a husband and wife team, they have built 5 companies together. They're currently the founders of Sonder Studio, a company focused on helping humans succeed in the digital age. In 2017, they sold their AI market research firm Intelligentsia to Atlantic Media.
In this episode, we cover a range of topics including:
- human centered design
- working as a husband and wife team
- how to bring AI into a business
- company building
- building AI products
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Mihail Eric is the founder of Pametan Data Innovation, a consultancy firm that helps companies deliver machine learning and data-driven solutions to their hardest problems with a special focus on NLP, recommendation systems, tabular data, and computer vision. He's also the founder of Confetti AI, the premier educational platform for practitioners learning the skills to succeed in their machine learning and data science careers. It was recently acquired by Towards AI. He has helped start teams at RideOS and Amazon Alexa.
In this episode, we cover a range of topics including:
- What is a prompt and why does it have to be engineered
- The role of signifiers
- The problem of repetitive loops
- LLMs
- Analogies
- Few shot and zero shot prompting
- Biases
- Security issues in LLMs
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Debarghya Das is the founding engineer at Glean. It's an enterprise search startup that recently raised at a billion dollar valuation from Sequoia, General Catalyst, Kleiner Perkins, and Lightspeed. He has previously held roles at Google and Facebook where he worked on their search products.
In this episode, we cover a range of topics including:
- Key takeaways from being on the founding team
- The 0-1 phase of building products
- Working with early customers
- Opportunities for future search products
- Search quality
- Developing good product sense
- Infusing intelligence into products
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Andy Petrella is the cofounder of Kensu, a data observability solution that offers companies the opportunity to monitor their data usage. He is the creator of Spark Notebook, an open-source software for data engineers and scientists using Spark and Scala. He is the author of the book Fundamentals of Data Observability. He has built a fantastic career in data over the last 16 years.
In this episode, we cover a range of topics including:
- data observability
- being a founder
- being an author
- creating open source software
- Kensu's unique approach "Data Observability Driven Development"
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Krishna Gade is the cofounder and CEO of Fiddler AI. They provide an explainable monitoring solution for production AI systems. Fiddler has been featured on Forbes AI 50 startups in 2020 and was awarded Technology Pioneer by World Economic Forum. He has previously held engineering leadership roles at Microsoft, Twitter, Pinterest, and Meta.
In this episode, we cover a range of topics including:
- model monitoring
- explainability
- what they are building at Fiddler
- how they got their first 5 customers
- key takeaways on company building
- how to maintain product discipline in enterprise SaaS
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Greg Tapper is the cofounder and CEO of PatternAI. They provide conversation intelligence for the enterprise. He was previously the founder and CEO of New Global, which he successfully sold to a large company after running it for 11 years. He's been a management consultant, most recently at McKinsey. He has degrees from UC Berkeley and Harvard.
In this episode, we cover a range of topics including:
- conversation intelligence
- being a second time founder
- what they are building at PatternAI
- how they got their first 5 customers
- how to choose your customers in the early days
- how to maintain product discipline as you scale a company
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Ala Shaabana is the cofounder of Bittensor, an open-source protocol that powers a decentralized machine learning network. He has a PhD in computer science and has previously held roles at Instacart and VMware.
In this episode, we cover a range of topics including:
- Shortcomings of centralized AI
- How to decentralize AI research
- Incentivized computer networks
- What they're building at Bittensor
- Putting AI on the blockchain
- Decentralized governance
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Alessya Visnjic is the cofounder and CEO of WhyLabs, which is an AI and data observability platform. She was previously a CTO-in-residence at the Allen Institute. Prior to that, she spent 9 years at Amazon building various machine learning products.
In this episode, we cover a range of topics including:
- AI observability
- Being a founder
- Getting the first 5 customers
- How does an AI model fail
- How to validate the problem as a founder
- How to measure the ROI of your product
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Rak Garg is an investor at Bain Capital Ventures focusing on companies in infrastructure tools, machine learning, and cybersecurity. He was previously a product lead at Atlassian and Redfin.
In this episode, we cover a range of topics including:
- how he got into venture capital
- key learnings from working with startups
- trends in the ML infrastructure space
- generative AI
- how content platforms should look at AI generated content
- product management at early stage startups
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Howie Xu is the VP of Machine Learning and AI at Zscaler. He was previously the cofounder and CEO of TrustPath where they built a product to transform security with ML. He's a guest lecturer at Stanford and serves on the boards of startups. He was an EIR at Greylock. He is the Founder of VMware networking team, which went on to build legendary products.
In this episode, we cover a range of topics including:
- Why do we need ML in cybersecurity
- The 0-1 phase of building a product and taking it to market
- Being a founder
- Validating the problem as a founder
- How to get the first 5 customers
- Company building
- How to incorporate ML into your product
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Peggy Tsai is the Chief Data Officer at BigID, where they provide data intelligence that enables companies to know their data for privacy, protection, and governance. Over the last 15 years, she has held data leadership roles at S&P Global Ratings, Morgan Stanley, and AIG.
In this episode, we cover a range of topics including:
- data governance
- building a data strategy
- how to protect data
- how to measure data quality
- how to build a good career
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Jay Madheswaran is the founder and CEO of Butler Labs, a platform that helps developers turn AI into easy to use APIs. He was previously a partner at Lightspeed, one of the most successful VC firms in the world. Before that, he was the first engineer at Rubrik, which went to become a multibillion dollar company.
In this episode, we cover a range of topics including:
- his learnings as the first engineer at Rubrik and being there during the 0-1 phase
- how he evaluates companies as a VC
- how to equip software engineers to use AI tools
- what he's building at Butler Labs
- how they validated the problem with their customers
- how they got their first 5 customers
- trends in ML infrastructure
- product discipline in ML
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Jeremie Harris is the cofounder of Gladstone AI where they're working on AI safety and security. He's the host of the Towards Data Science podcast. He was previously the cofounder of SharpestMinds, a marketplace for one-on-one income share agreements. He was pursuing a PhD in quantum mechanics when he decided to jump into AI.
In this episode, we cover a range of topics including:
- AI safety and security
- AI policy
- Working with governments
- Superintelligence
- AI alignment problem
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Jon Cooke is the founder of Dataception. It's a consulting firm that helps organizations build data and AI solutions to accelerate decision making. He has previously held leadership roles in Databricks, PwC, and Rule Financial.
In this episode, we cover a range of topics including:
- data product pyramid
- data product marketplace
- data mesh
- how business teams should communicate with data teams
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Oliver Hughes is the cofounder and CEO of Count. It's a collaborative data platform that helps teams work with data. He was previously at Tesco and graduated from University of Cambridge.
In this episode, we cover a range of topics including:
- What is data collaboration
- How to build a collaborative product for ML teams
- What he's building at Count
- Key takeaways from being a founder
- How to engage users
- How they got their first 10 customers
- How data roles will evolve in the future
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: http://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Egor Gryaznov is the cofounder and CTO of Bigeye. It's a data observability platform that helps teams measure and improve data quality. Before that, he was at Uber where he scaled the company's first data warehouse, supporting thousands of internal users and mission-critical workloads.
In this episode, we cover a range of topics including:
- Key takeaways on being a founder
- What he's building now at Bigeye
- How to do customer discovery
- Why do we need data observability
- How to measure data quality
- What is data reliability
- What should early stage ML practitioners spend their time on
Where to find Prateek Joshi:
- Newsletter: https://prateekjoshi.substack.com
- Website: http://prateekj.com
- LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Fabiana Clemente is the cofounder and CEO of YData, a startup that's provides a data-centric platform to accelerates AI development by improving the quality of training datasets. She's a founding member of Synthetic Data Community and AI Infrastructure Alliance.
You can check out Data-Centric AI communityandYData's open sourceoffering.
In this episode, we cover a range of topics including:
- Synthetic data generation
- Data quality
- Quality profiling
- Being a founder
- How they got their first 5 customers
- How to maintain product discipline as you serve bigger customers
Where to find Prateek Joshi:
- Newsletter: https://prateekjoshi.substack.com
- Website: http://prateekj.com
- LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Ketan Umare is the cofounder and CEO of Union AI, a startup that's building a ML and Data Orchestration product powered by Flyte. They've raised $10M in funding led by NEA. Prior to this, he was at Lyft for 5 years where he created Flyte, an open source tool to automate ML and data workflows.
In this episode, we cover a range of topics including:
- Creating open source tools
- Launching a startup
- Business model of open source companies
- Product discipline in early stage startups
- Programming hygiene for ML practitioners
Leigh Marie Braswell is an investor at Founders Fund, one of the most successful VC firms in the world. Prior to that, she was one of the first 10 team members at Scale AI. A startup which is currently valued at more than $7 Billion. She was an ML engineer at Google before that. She has a degree from MIT and loves to play poker.
In this episode, we cover a range of topics including:
- Key learnings during her time at Scale AI
- How she identifies promising startups
- Startup opportunities in ML infrastructure
- Large Language Models
- Applications of ML
- Product management at AI startups
Where to find Prateek Joshi:
- Newsletter: https://prateekjoshi.substack.com
- Website: http://prateekj.com
- LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Phil Howes is the cofounder and Chief Scientist of Baseten, an ML application builder for data scientists. They have raised $20M from top tier investors such as Greylock, Mustafa Suleyman, DJ Patil, and Greg Brockman. He was previously the co-founder of Shape, a people analytics platform acquired by Reflektive in 2018. Prior to that, he was an ML Engineer at Gumroad. He has a PhD in Mathematics from the University of Sydney.
In this episode, we cover a range of topics including:
- Top 3 learnings from running his first startup
- What he's building now at Baseten
- How to think about design and UX for ML products
- Pricing mechanics
- Competitive landscape
- Their open source strategy
- How they got their first 10 users
- Self serve strategy for ML products
- Measuring customer success
Where to find Prateek Joshi:
- Newsletter: https://prateekjoshi.substack.com
- Website: http://prateekj.com
- LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Sadie St. Lawrence is the Founder and CEO of Women in Data, the #1 Community for Women in AI and Tech. It has over 20,000 individuals and has representation in 17 countries and 50 cities. She has trained over 350,000 people in data science. Her work has been featured in USA Today. And she's the recipient of the 10 Most Admired Business Women to Watch in 2021.
In this episode, we cover a range of topics including:
- Launching a new community focused on AI and Data
- How to get the first 10 members to join
- Growing the community from 10 to 20,000
- Running growth experiments
- How to keep a community interesting
Joshua Starmer is the founder and CEO of StatQuest. He makes online educational materials to teach data science, machine learning, and statistics. His YouTube channel has 775,000 subscribers. He was previously an Asst Professor at University of North Carolina, Chapel Hill. He has a PhD in biomathematics, bioinformatics, and computational biology.
In this episode, we cover a range of topics including:
- Teaching ML and statistics
- Launching his YouTube channel
- Growing his YouTube channel to 775,000 subscribers
- Running growth experiments
- How to create engaging content
- Learning framework for ML practitioners
Tommy Dang is the cofounder and CEO of Mage, a collaborative AI tool for product developers. They've raised a $6.3M seed round led by Gradient Ventures. Prior to this, he was a machine learning engineer at Airbnb for 5.5 years. He was previously the cofounder of OnMyBlock and has a bachelors degree from UC Berkeley.
In this episode, we cover a range of topics including:
- Building low-code ML tools for developers
- How to incorporate AI into a product
- Building machine learning models for Airbnb's Experiences vertical
- His key learnings as a second time founder
- What he's building at Mage
- How they got their first 10 customers for Mage
Chad Sanderson is the Head of Data at Convoy. He is a scout for Sequoia Capital investing in ML and data startups. He has previously been a scout for Cowboy Ventures and Innovation Endeavors. He's been an advisor to Tola Capital and an LP to Essence Venture Capital. He is a prolific builder of products. And has built everything from feature stores, experimentation platforms, streaming platforms, data discovery systems, and workflow development platforms.
In this episode, we cover a range of topics including:
- Modern data stack
- How he identifies great ML startups
- Being a scout for Sequoia Capital
- Investment themes in ML and data
- Data modeling
- Data collaboration tools
John Thompson is the Global Head of AI and Rapid Data Lab at CSL Behring. It's a $10B global biopharma company. Second largest of its kind in the world. It manufactures products to treat rare diseases like hemophilia. He's a best selling author of books like Data For All, Building Analytics Teams, and Analytics: How to win with intelligence.
In this episode, we talk about:
- AI in pharma
- Building products for pharma vs bio vs healthcare
- Challenges of building products for rare diseases
- Plasma-derived therapeutic products
- AI-powered drug discovery
- State of healthcare in US
Jennifer Prendki is the founder and CEO of Alectio. They're pioneering the DataPrepOps space and building technology to help companies do Machine Learning more efficiently, in particular with less data. She's a keynote speaker and have spoken at most major conferences in the field. She has a PhD in Particle Physics and has built a phenomenal career.
In this episode, we talk about:
- DataPrepOps
- MLOps
- Data labeling
- Training datasets
- Carbon footprint of AI systems
- Active learning
- Online learning, continual learning, incremental learning
Scott Taylor runs MetaMeta Consulting and is the author of the book Telling Your Data Story. He is one of the most prolific speakers and writers on the topic of data management. He's been on DataIQ 100, Thinkers360 Top 10, and a Dataversity Top 10 Blogger. He was at Nielsen for 14 years and has a degree from UC Berkeley.
In this episode, we cover a range of topics including:
- Master data management
- Data storytelling
- Data vs analytics
- How to communicate data quality issues
- The journey of managing master data
Matt Harrison is a world-renowned expert on Python and Data Science. He has a CS degree from Stanford University. He is a best-selling author on Python and Data subjects. He is the author of books such as Effective Pandas, Illustrated Guide to Learning Python 3, Intermediate Python, Learning the Pandas Library, and Effective PyCharm. They've ALL been best-seller on Amazon. He is an advisor to Ponder, the Enterprise Pandas company. You can check out his online store and his course on Pandas.
In this episode, we cover a range of topics including:
- Corporate training and upskilling
- The process of training
- Similarities and differences between the learning mechanisms for adults vs children
- Framework for data practitioners to educate themselves
- Biggest gap in skills today
- Modes of learning
- Measuring the efficiency of training products and services
Ben Taylor is the Chief AI Evangelist at DataRobot. He's a veteran thought leader on AI with over 16 years of experience. He was at Intel and Micron working on photolithography, process control, and yield prediction groups. He joined an AI hedge fund as an expert in high performance computing and AI, where he built models using a cluster of 600 GPUs. He then joined a young HR startup called HireVue, where he built out their data science group, filed 7 patents, and helped to launch their AI insights product using video/audio from candidate interviews. In 2017, Taylor co-founded Zeff.ai to pursue deep learning for image, audio, video, and text for the enterprise.
In this episode, we cover a range of topics including:
- Automating network design with genetic programming and deep learning
- Key learnings as HireVue's first data scientist
- Why he doesn't like Tensorflow
- Metaheuristics
- Key learnings as the cofounder of Zeff.ai
- What does it take to go from 0-to-1 when building an ML product
Srinath Sridhar is the cofounder and CEO of Regie.ai where they're building a content platform for modern revenue teams. He was one of the first 100 engineers of Facebook. He was a member of the founding team at Bloomreach where he built v1 of many of their products. He was the cofounder and CTO of Onera, which recently got acquired by Accel KKR / Toolsgroup. He's also an investor in many startups.
In this episode, we cover a range of topics including:
- how to build the v1 of a machine learning product
- what does it take to scale a product
- using generative AI in business
- how to talk to customers
- how to identify promising ML startups
In this episode, Prateek Joshi talks about:
- Images captured by James Webb space telescope
- Discovery of rare earth elements in Turkey
- Meta's large language model NLLB-200 that can translate 200 languages
- Minerva: Google's AI system that can solve quantitative reasoning problems
- Google demonstrates quantum advantage for machine learning
- MIT and Stanford researchers show how robots can handle deformable material
- How GPT-3 can explain a piece of code
Adam Sroka is the Head of Machine Learning Engineering at Origami Energy where he's helping build a green energy world. Their trading and automation software enables energy companies to harness the commercial opportunities of the global energy transition. He is an experienced AI leader helping organizations unlock value from data and build high-performing teams from the ground up. He shares his thoughts and ideas through public speaking, tech community events, and on his blog.
In this episode, we cover a range of topics including:
- how energy markets work
- renewable energy
- solving climate problems
- building teams
- why it's important for data scientists to know software engineering
Doug Laney is the Data & Analytics Strategy Innovation Fellow at West Monroe Partners. He consults to business, data, and analytics leaders on conceiving and implementing new data-driven value streams. He originated the field of infonomics and authored the best-selling book Infonomics. He is a three-time Gartner annual thought leadership award recipient, a World Economic Forum advisor, a Forbes contributing author, and co-chairs the annual MIT Chief Data Officer Symposium. He also is a visiting professor at the University of Illinois and Carnegie Mellon business schools, and sits on various high-tech company advisory boards.
In this episode, we cover a range of topics including:
- Infonomics
- His latest book Data Juice
- Quantifying data's economic value
- Applying asset management principles to data management
- Data monetization patterns
- Collateralizing data
- Underwriting and insuring the data asset
- Testing ideas for feasibility
- How to price data products
In this episode, the host Prateek Joshi talks about:
- The question of whether AI is sentient
- Yann LeCun's recent proposal on Autonomous Machine Intelligence
- NASA's helicopter on Mars
- Amazon's AI-powered coding assistant
- A reconfigurable AI chip built by MIT engineers
Jason Krantz is the founder of Strategy Titan. Their offering simplifies workforce and compensation data so that businesses can confidently make hiring and retention decisions. He has access to a goldmine of data on talent trends and where the labor market is heading.
In this episode, we cover a range of topics including:
- Trends in the US labor market
- Talent trends in the AI sector
- Full time vs gig economy
- Flow of talent across sectors
- How can businesses leverage data on jobs and compensation to differentiate themselves
- Similarities and differences across hyperlocal job markets in US
- The craft of employee retention
Harpreet Sahota is the host of The Artists of Data Science podcast. He's a data science generalist with a strong business acumen. He currently works on Developer Relations at Pachyderm where he is defining and executing strategies that demonstrate the value of data.
In this episode, we cover a range of topics including:
- Building bottom up ML products
- Driving product adoption
- Building the DevRel function at a startup
- What makes an online community great
- How to create useful content
- Understanding the MLOps ecosystem
- Building a personal brand
Jordan Morrow is the VP of Data and Analytics at Brainstorm. He has been in data for a long time now across companies like Qlik and Pluralsight. He is a two-time winner of Data IQ100, a list of the most influential data and analytics practitioners. He has built expertise in the area of data literacy and upskilling.
In this episode, we cover a range of topics including:
- Data literacy
- Upskilling and reskilling
- Learning platforms for data professionals
- Where are the gaps in skills for data professionals
- Landscape of products for education and upskilling
- What's the next unlock for the education market
Brent Dykes is the founder of Analytics Hero where he offers workshops on data storytelling. As a Forbes contributor, he has authored more than 45 articles and spoken at some of the largest industry conferences around the globe. After publishing two books on digital analytics, his most recent book focuses on the importance of effective data storytelling.
In this episode, we cover a range of topics including:
- Why do we need data storytelling
- What does storytelling entail
- Data, narrative, and visuals
- How to distill down complex topics
- Step by step process of building a practical data story
Joe Reis is a business-minded data engineer who’s worked in the industry for 20 years. He is the CEO and Co-Founder of Ternary Data, a data engineering and architecture consulting firm based in Salt Lake City, Utah. He volunteers with several technology groups and teaches at the University of Utah. In his spare time, he likes to rock climb, produce electronic music, and take his kids on crazy adventures.
In this episode, we cover a range of topics including:
- What does a data engineer do?
- Relationship between data engineering and MLOps
- What are the components of the data engineering lifecycle?
- What should a data engineer know at a fundamental level to be successful at this?
- His book Fundamentals of Data Engineering
- Why writing a book is one of the few activities that exposes your weaknesses and very deeply refines your thinking
- The three pillars of a solid data foundation: data architecture, data engineering, and DataOps.
- How do you structure your first call with a potential client?
- Why is there a mismatch between expectations and reality when it comes to using data science within a business?
- Why he puts a lot of the responsibility on the student to get good at researching problems and solutions
- How to think about architecture as a data professional
In this episode, Prateek Joshi talks about the latest developments in:
- Using AI to build digital twins for nuclear fusion reactors
- Photonic chips for fast image recognition
- Electronic skin for touch sensitive robots
- Delivering brain MRI in 1 minute
- Using AI for energy grid management
- Analyzing satellite imagery using machine learning
Vin Vashishta is a globally recognized expert on AI Strategy and Data Science. He has been a LinkedIn Top Voice in Data Science and has been featured on dozens of Top 10 Lists over the last 7 years. His client list includes the likes of Walmart, JPMC, Siemens, and Airbus. He delivers products with recurring revenue streams in the 100s of millions and build Data Science teams from the ground up. He advises startups and teaches founders how to launch their first ML based product. He founded V-Squared in 2012 and built it into a successful AI Strategy consulting practice. 4 years ago, he started teaching Business Strategy For Data Scientists.
In this episode, we cover a range of topics including:
- Teaching a strategy class for data scientists
- How to measure the success of data science projects
- How to identify the highest value opportunities
- You learn a lot by building ML models, but you learn more my maintaining them for 6 months. Why is that?
- What are transferable capabilities for a professional who wants to transition into data science?
- How to inject reality into ML products using domain knowledge?
- Advantages of rapid prototyping
- How to structure AI strategy sessions with potential new collaborators?
- What is career coaching?
- How to hire great data scientists?
In this AMA episode, the host Prateek Joshi answers the following questions:
- How is machine learning being used in the space industry?
- How is synthetic data being used to train AI systems?
- Are foundation models going to become more prevalent in production ML systems?
- What do you think about AI-infused coding tools?
Serg Masis is a Data Scientist in agriculture with a background in entrepreneurship and web/app development. He's the author of the book "Interpretable Machine Learning with Python". In addition to ML interpretability, he's passionate about explainable AI, behavioral economics, and ethical AI.
In this episode, we cover a range of topics including:
- How did he get into machine learning?
- What is interpretable ML?
- What is post hoc interpretability?
- Process fairness vs statistical fairness
- How an algorithm creates the model?
- How a model makes predictions?
- What makes an ML model interpretable?
- How do you measure the interpretability of a model?
- How do parts of the model affect predictions?
- Does the method of interpretation depend on the model? Or can we apply a given method to a number of models?
- Can you explain a specific prediction from a model?
- What techniques can we use to interpret neural networks?
- What techniques are available to increase the interpretability of a model?
In this AMA episode, the host Prateek Joshi answers the following questions received from listeners and readers:
- When it comes to experimentation in machine learning, does Python have an advantage over Matlab?
- I have many years of experience in database technology and I'd like to switch to machine learning. What advice would you give me?
- What is the most difficult part of building a machine learning startup? What is your advice if someone wants to do it?
- I just graduated from college and want to be the AI domain. What roles are available in this field?
Zach Keller leads the data science team at Trove, a white label platform that supports resale as a channel for the world's most beloved brands. He has worked as a data scientist and machine learning engineer, building machine learning systems that operate at scale. He's been in industries such as manufacturing, finance, and re-commerce. At Trove, he focuses on growing and mentoring the data science team. He lives in Dallas with his wife and dog.
In this episode, we cover a range of topics including:
- His journey into data science
- What is Recommerce
- How does circular shopping work
- Carbon footprint in ecommerce
- How is machine learning used in ecommerce
- How should new entrants evaluate what you like within data science
- The role of mathematics in learning ML
- The role of economics in ecommerce and marketplaces
- How incentives work in marketplaces
- Push bucket vs pull bucket
- How to build good data science culture
In this episode, the host Prateek Joshi covers the latest developments in Machine Learning including:
- Predicting battery lifetimes
- Fighting wildfires
- Rainfall mapping
- Avoiding idling at traffic lights
- General purpose AI system that can perform 604 tasks
- Google releases world's largest publicly available machine learning hub
- A plant nutrient detected by AI comes to market
- European Union's recently proposed AI Act
- ML startups that are gaining traction
Demetrios Brinkmann is one of the main organizers of the MLOps Community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveler who taught English as a second language to see the world and learn about new cultures. He fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and Machine Learning. Since diving into the nitty-gritty of ML Operations he felt a strong calling to explore the ethical issues surrounding AI/ML. When he is not conducting interviews, you can find him making stone stackings with his daughter in the woods or playing the ukulele by the campfire.
Vishnu Rachakonda is a data scientist at Firsthand, where he helps build data-intensive systems that identify and connect individuals living with serious mental illness to firsthand’s peer-based recovery model. Vishnu is also the Head of Operations for the MLOps Community, the world’s largest online hub for production ML practitioners, and co-hosts the community’s podcast "MLOps Coffee Sessions", whose past guests include Jeremy Howard, D. Sculley, and other industry luminaries. Prior to this, he was the first machine learning hire at Tesseract Health, a 4Catalyzer company focused on ophthalmic imaging, and a teaching assistant for the spring 2021 edition of Full Stack Deep Learning. He obtained a BS and MS in bioengineering from the University of Pennsylvania.
In this episode, we cover a range of topics including:
- Journey into machine learning
- How they started the MLOps community and grew it into the world's largest community of its kind
- Framework for building online communities and getting the first few members to join
- What tools can be used to manage online communities
- ML tooling landscape
- What signals can we use to identify ML tools that are gaining traction before it's obvious
- Why should an ML tool be opinionated
In this episode, the host Prateek Joshi covers the latest developments in Machine Learning including:
- Brain computer interface enters human trials
- Nanomagnetic computing for low-energy AI
- Speeding up the process of counting microplastics using Machine Learning
- Quantum tunneling memory to boost AI energy efficiency
- Wine and beer reviews written by AI
- Spotting cavity using an AI system
- FDA approves the world's first automated and wearable 3D breast ultrasound
- Intel announces new chips for AI processing
Thom Ives is the founder of Integrated Machine Learning & AI providing services and instruction in the data science community. And he is the lead data scientist at AI Strategy Corporation. He is the recipient of more than 25 US Patents for many different types of devices. He has a PhD in mechanical engineering and has over 47,000 followers on LinkedIn. He has built an amazing career over the last 30 years.
In this episode, we cover a range of topics including:
- His AI journey
- Creating educational content
- His upcoming book
- Building communities
- "You must first BE to DO to HAVE". What does this mean in our context of data science?
- Building a portfolio of projects as a data scientist
- Growth happens through cycles and maintenance is integral to cycling. How should a machine learning professional think about it?
- Establishing your online presence as a data scientist
- Preventing burnout and the importance of recovery periods
- Storytelling for data scientists
- Why he loves Python
In this episode, the host Prateek Joshi covers a range of topics including:
- Generative AI and OpenAI's DALL-E 2
- ML based enzyme that can break down plastic really quickly
- Predicting the performance of plasma for nuclear fusion
- Creating low-carbon concrete with ML
- Building ML models that suggest molecular structures that can be synthesized in the lab
- Google launches Pix2Seq, a new language interface for object detection.
- DeepMind introduces Flamingo, a single visual language model (VLM) for few-shot learning.
- Anaconda announces PyScript. It's an in-browser, single-include way to run Python scripts in HTML pages as easily as JavaScript.
Tushar Gupta is a Senior Product Manager at Packt. He produces books in the Machine Learning and AI portfolio. He's been in tech publishing for close to 8 years. And has produced over 300 books to date.
In this episode, we cover a range of topics including:
- How did you get into the world of book publishing?
- How do you identify topics for books?
- What trends are you seeing in ML books?
- What does great writing look like to you?
- What is the learning journey of a reader?
- How to think about your book's target audience?
- How do you work with authors?
- What's the step by step process of writing a book?
- What advice do you have for people who want to write their first book?
- What areas of ML are gaining traction in 2022?
- What type of book tends to sell more? A text book, a book containing recipes, or a book that does a deep dive?
- What do book readers want?
- What's the role of communities in book publishing?
Richad Nieves-Becker is a self-taught data scientist with an eclectic background. He currently leads the data science function at Revantage, a real estate shared service organization in the Blackstone family. He got a BA in Neuroscience and Anthropology. And was on the PhD path until he realized it was not for him. He pivoted and earned a Masters in Commerce from the University of Virginia. He started at CoreLogic focusing on text mining, then moved to Greystone leading all things data in an innovation lab. He credits his career progress to focusing on impact and deeply understanding the business case.
In this episode, we cover a range of topics including:
- His entry into data science
- Academic vs business work
- How he cold emailed his way to getting job interviews
- Why data scientists need sales skills
- How data scientists should think about building a portfolio
- Defining tractable problems in machine learning and data science
- Moving from mathematics to data science
- Framework for creating educational content
- Creating a course for data scientists
- How he interviews people
- The report he's writing for new data science leaders
- Building good culture by aligning an individual's desires to the company's goals
- The advantage of modular products
- Rise of MLOps and data versioning
- Monetization of models
Matt Kirk is a senior data scientist at Zeitworks specializing in harnessing data to empower humans to achieve their highest potential at work. He has contributed to open source, written books, spoken at conferences, and worked with startups ranging from three person upstarts to billion dollar unicorns. He got into data science by studying quantitative economics and working as a junior quant. He is a cancer survivor, a father of a firecracker, a voracious reader, a recovering musician, and a Zen student.
In this episode, we cover a range of topics including:
- Quantitative economics
- Writing books
- Surviving cancer and dealing with adversity
- Being a Zen student
- Using the pomodoro technique
- Building a strong culture
- Current and future trends in data
Che Sharma is the founder and CEO of Eppo. It's a next gen A/B experimentation platform that helps product teams run tests that are reliably informative. He was previously an early Data Scientist at Airbnb, where he spent 5 years working on fraud detection, logging integrity, and mobile product analytics. The data science team grew from 5 to more than 80 while he was there. He got his Bachelors and Masters degrees from Stanford with a focus on Electrical Engineering and Statistics.
In this episode, we cover a range of topics including:
- How he entered the world of data
- The concept of experimentation
- How can data professionals setup a framework to run experiments
- Storytelling
- Reusable components
- Creating customer empathy
- The rise of data communities
Pedram Navid is the Head of Data at Hightouch where he leads advocacy for data practitioners, community-building, and the internal data stack. Prior to Hightouch, he has worked as a data engineer building up a modern data stack from the ground up and as a data scientist where he helped scale analytics at a major bank. He contributes to open-source packages and creates data memes on Twitter.
In this episode, we cover a range of topics including:
- How he entered the world of data science
- Reverse ETL
- How can new data science professionals evaluate various roles in data science
- How can interviewees evaluate team culture
- How data gets political within a company
- How should data practitioners forge alliances
- What is data activation
- How he manages data teams
Amir Feizpour is the cofounder and CEO of Aggregate Intellect. It's a platform to accelerate knowledge discovery for research and development teams, including but not limited to AI. You can visit ai.science to learn more about it. Previously he worked in the industry as a data scientist, a senior manager, and a product lead in NLP. He has a PhD in Physics from University of Toronto and he did his postdoc in quantum computing at University of Oxford. You can join the Aggregate Intellect Slack community here. You can book a free 20-min coaching session with him here.
In this episode, we cover a range of topics including:
- His journey into the world of data
- What is knowledge discovery
- How to build online communities
- What he's building at Aggregate Intellect
- What does great data science culture look like
- What product has impressed you the most
- Current and future trends in AI
Margaretta Colangelo is the cofounder and CEO of Jthereum, an enterprise software company that enables Java developers to write smart contracts. She is also the President of U1 Technologies, an enterprise software company that provides the communications infrastructure for stock trading platforms used by the world's top investment banks. She serves on the advisory board of the AI Precision Health Institute at the University of Hawaii Cancer Center. She speaks at AI conferences around the globe and publishes a weekly newsletter on DeepTech with over 80,000 subscribers. She has published over 300 articles in Forbes, MIT Technology Review Italia, International Journal of Infectious Diseases, AI Time Journal, and many more. She is a San Francisco native and has built an amazing career over the last 30 years.
In this episode, we cover a range of topics including:
Journey into the world of AI:
- How did you enter the world of AI
- Learnings along the way
AI in healthcare:
- State of healthcare today
- How can AI benefit healthcare
- Milestones achieved in 2021
- AI for cancer research
- AI-powered drug discovery
- What's coming next
Career:
- How do you guide new professionals who want to do AI for healthcare?
- How do you interview people?
Trends:
- What product that you've personally used has impressed you the most?
- Compared to 5 years ago, what has been the biggest positive development in AI?
- Where will AI be in 5 years?
Denis Rothman is an author of 5 books on AI and a prodigious creator of AI content. He is a speaker, inventor, designer, and a developer of AI solutions. He began his career authoring one of the first AI cognitive chatbots. He designed one of the very first word2matrix patented embedding and vectorizing systems. He was previously the cofounder of Planilog, a collaborative app for planning and scheduling your production and maintenance workflows.
In this episode, we cover a range of topics including:
His journey into the world of AI:
- How did you enter the world of AI
- The role of mechanism
- In one of your articles, you talk about The Rise of Metahuman AI. What is metahuman AI? And why is it relevant?
- How to implement sustainable, ethical, and profitable AI?
Career:
- The role of mentors vs mavericks
- How should new AI professionals evaluate what to pursue?
- How do you hire people?
- Why is practice important in machine learning?
- How can basic mathematics can speed up your learning process?
Culture:
- How to leverage extreme programming to drive success?
- How to manage customers?
- How does he coach new professionals?
- How to build products under customer's infrastructure constraints?
Overall trends:
- What product has impressed you the most?
- His insight on why transformers have become popular
- What has been the biggest positive development in AI over the last 5 years?
- Where will AI be in 5 years?
Andrew is a data science educator at Lighthouse Labs. He teaches data science, coaches aspiring data scientists, and designs courses. He has worked with over 100 students from various backgrounds aiming to transition into data science.
In this episode, we cover a range of topics including:
Andrew's journey into the world of data science:
- How he entered the world of data science
- His learnings from teaching over 100 students
Career:
- How can new professionals evaluate what area they like within data science?
- How should a data scientist look for jobs?
- How do you interview people?
- How can a data scientist succeed at a new job?
Culture:
- How should data science professionals talk to customers?
- What does good data science culture look like?
Trends:
- What product has impressed you the most? And why?
- What has been the biggest change in data science compared to 5 years ago?
- Where will data science be in 5 years?
Emilie Schario is a Data Strategist-in-residence at Amplify Partners. Previously, she was the Director of Data at Netlify, where she led 8% of the company's headcount, and was the first data analyst at many companies, including GitLab, Doist, and Smile Direct Club.
In this episode, we cover a range of topics including:
Emilie's journey into the world of data science:
- How she entered the world of data science
- Her learnings along the way
- Why Locally Optimistic is her favorite data community
Careers, Jobs, and Interviews:
- How can new professionals evaluate what area they like within data science
- How should a data scientist look for jobs?
- How do you interview people?
- What are some of the red flags during hiring?
- What should a data scientist do during the first 30 days of the job?
Culture:
- How should data science professionals talk to customers?
- What does good data science culture look like?
- How should first time managers think about imparting culture?
Current and future trends:
- What's your favorite resource for data science? And why?
- What has been the biggest positive development in ML compared to 5 years ago?
- Looking forward, what aspect of ML excites you the most?
Mihail Eric is the founder of Pametan Data Innovation, a machine learning consultancy focused on helping organizations build data-driven systems to solve their toughest business problems. He's also the founder of Confetti AI, the premier educational platform for practitioners learning the skills to succeed in their machine learning and data science careers. His career has spanned machine learning industry, research, and engineering across domains such as conversational AI and self-driving vehicles. He has published papers at some of the world's top conferences including ACL, AAAI, and NeurIPS. He has helped start teams at innovative companies like RideOS and Amazon Alexa. Systems that he has architected are used by hundreds of thousands of people globally. He actively blogs and speaks about machine learning. And can be reached on Twitter and LinkedIn.
In this episode, we cover a range of topics including:
Mihail's journey into the world of machine learning:
- How he entered the world of machine learning
- His learnings from running a machine learning consultancy firm
- The role of educational platform and his learnings from building Confetti AI
Careers, Jobs, and Interviews:
- How do you guide new professionals in evaluating what area they like within ML?
- How should a machine learning professional look for jobs?
- How do you interview people?
- What are some of the red flags during hiring?
Product:
- How should ML professionals talk to users/customers?
- How important is the ability to write production-level code?
Overall trends:
- What product that you've personally used has impressed you the most? And why?
- What has been the biggest positive development in ML compared to 5 years ago?
- Looking forward, what aspect of ML excites you the most?
Alexey Grigorev is the founder of DataTalks.Club, one of the world's most popular data communities. He is the principal data scientist at OLX. He has written a few books on machine learning. His most recent book is Machine Learning Bookcamp, which is especially relevant to software engineers who want to get into machine learning.
In today's episode we cover a range of topics including:
Personal journey into the world of data science:
- How did you enter the world of data science?
- Can you talk about your recent book Machine Learning Bookcamp?
- You run one of the best data communities in the world. How did you launch it and get the first few members to join?
- What's the hardest part about running a community?
Careers, Jobs, and Interviews:
- How do you guide new professionals in evaluating what area they like within ML?
- How should a data scientist look for jobs?
- How do you interview people?
- What are some of the red flags during hiring?
- How do you onboard a new hire?
- What does a great ML professional look like?
Product:
- How should ML professionals talk to users/customers?
- What do you believe makes for a great product experience?
- How important is the ability to write production-level code?
Overall trends:
- What product that you've personally used has impressed you the most? And why?
- What has been the biggest positive development in ML compared to 5 years ago?
- Looking forward, what aspect of ML excites you the most?