Time Horizons: Recent Episodes
Arthur Allshire & Shrey Jain
Time Horizons talks to the people working on building the future, today. These are the conversations you’ll wish you’d heard in 5 years.
Season 3: We are back!
Shrey sites: https://shreyj.com/
Sam Altman Tweet: https://twitter.com/sama/status/1484950632331034625
Time Horizons Website: https://www.timehorizons.org/
Time Horizons Twitter: https://twitter.com/time_horizons
Arthur's Twitter: https://twitter.com/arthurallshire
Shrey's Twitter: https://twitter.com/shreydjain13
In which Arthur and Shrey talk to Ben Reinhardt, who is working on creating a Private ARPA.
- PARPA - 2 pager http://benjaminreinhardt.com/parpa-2-pager.pdf
- PARPA - Full essay https://benjaminreinhardt.com/parpa
- Why does DARPA work? https://benjaminreinhardt.com/wddw
- Ben's Twitter: https://twitter.com/ben_reinhardt
- Arthur's Twitter: https://twitter.com/arthurallshire
- Shrey's Twitter: https://twitter.com/shreydjain13
- Time Horizons Website: https://www.timehorizons.org/
- Time Horizons Twitter: https://twitter.com/time_horizons
- Episode on YouTube with video
- Sam's Website: https://skriegman.github.io/
- Sam's Twitter: https://twitter.com/Kriegmerica
- Sam has great visualizations on his YouTube channel as well: https://www.youtube.com/channel/UC7_vFumHEAKCDGHLvZNfqig
- Time Horizons Website: https://www.timehorizons.org/
- Time Horizons Twitter: https://twitter.com/time_horizons
- Arthur's Twitter: https://twitter.com/arthurallshire
- Shrey's Twitter: https://twitter.com/shreydjain13
Hannah Kerner is an Assistant Research Professor at the UMD, College Park. Her research focuses on developing machine learning solutions for remote sensing applications in agricultural monitoring, food security, and Earth/planetary science. She is also the Machine Learning Lead and U.S. Domestic Co-Lead for NASA Harvest, NASA’s agriculture and food security initiative run out of the University of Maryland.
Links
- Episode on YouTube with Video
- Hannah's Website: https://hannah-rae.github.io/
- Hannah's Twitter: https://twitter.com/hannah_kerner
- NASA Harvest: https://nasaharvest.org
- Arthur's Twitter: https://twitter.com/arthurallshire
- Shrey's Twitter: https://twitter.com/shreydjain13
Shreya's Website: https://www.shreya-shankar.com/
Shreya's Twitter: https://twitter.com/sh_reya
Time Horizons Website: https://www.timehorizons.org/
Time Horizons Twitter: https://twitter.com/time_horizons
Arthur Allshire Twitter: https://twitter.com/arthurallshire
Shrey Jain Twitter: https://twitter.com/shreydjain13
This is the first episode of Time Horizons, the continuation of our previous podcast, 25 Unread, in an interview format.
Bhairav Mehta, PhD student at MIT, talks to Arthur and Shrey about his thoughts on education and reform in Machine Learning.
- Bhairav Mehta: https://bhairavmehta95.github.io/
- Reform in machine learning workshop: https://rethinkingmlpapers.github.io/
- Time Horizons Website: https://www.timehorizons.org/
- Time Horizons Twitter: https://twitter.com/home
- Arthur Allshire Twitter: https://twitter.com/arthurallshire
- Shrey Jain Twitter: https://twitter.com/shreydjain13
Watch this episode on YouTube.
Shrey and Arthur talk about: their latest thoughts on the coronavirus and testing, balance vs pushing in your work life, the value of content subscriptions, and whether Arthur should pursue biomedical engineering(?!).
Links:
- Economist Article (Image)
- Tyler Cowen on seeing personal benefits over long time horizons
- Stratechery
- Anki
- Engineering Science
Arthur (@arthurallshire), Shrey (@shreydjain13), and special guest Martin Staadecker talk about education, productivity, and perfectionism.
Arthur (@arthurallshire), Shrey (@shreydjain13), and special guest Ben (@BenAgro4) talk about habits, routines, and note-taking.
Links:
- Ben's insane spreadsheet
- tmux
- Trello
- Andy Matuschak's Notes
- Join our Slack!
Links
- Patrick Collison’s Questions
- Tesla autopilot problems
- SAE Classification System
- Richard Murray on safety in Machine Learning systems
- Tesla thinking a Burger King sign is a stop sign
- Rand paper analysing miles needed to drive to achieve self-driving safety
- Convolutional neural networks
- Recurrent neural networks
- Reinforcement learning
- Ben Recht’s excellent technical blog
- Arthur’s blog about the future of self-driving
- Why books don’t work - Andy Matuschak
Arthur (@arthurallshire) and Shrey (@shreydjain13) discuss the tools they use to get work done.
Links:
- Mendeley
- LiquidText
- Notion
- Chris Olah Blog
- Argmin Blog
- RoamResearch
- Strava
- TrainingPeaks
- Signal
- Hey
- How can we develop transformative tools for thought?
- What you can't say