The Marketing AI Show: Recent Episodes
Marketing AI Institute
The Marketing AI Show makes artificial intelligence actionable and approachable for marketers. Brought to you by the creators of the Marketing AI Institute and the Marketing AI Conference (MAICON), join us for weekly conversations with top authors, entrepreneurs, AI researchers, and executives as they share case studies, strategies, and technologies that have the power to transform your business, and career.
Inside Elon Musk’s struggle for the future of AI We just got a never-before-seen look at how—and why—Elon Musk decided to go all-in on artificial intelligence. This comes from an article by Walter Isaacson in Time, and is adapted from his upcoming book Elon Musk, which publishes today! Issacson’s name may ring a bell, as he’s also the author of the Steve Jobs biography.) In the article, Issacson gives new details on the actions Elon Musk has taken to get highly involved in the future of AI. It turns out that Musk has become increasingly worried about the development of advanced AI—and considers it probable that we develop superintelligent AI that poses an existential risk to humanity if not properly shepherded into existence. Much of his discontent seems to have come from rocky relationships with Google over its acquisition of DeepMind and displeasure that OpenAI, which he co-founded, pivoted away from being a non-profit lab releasing AI advancements for everyone to use and build upon. As Isaacson details, Musk has spent years developing dedicated AI capabilities across his companies, including Neuralink, Tesla, and SpaceX. He’s also actively considering how to use Twitter’s data to fuel AI systems. Now, he’s founded an overarching AI company called xAI to tie together all these AI efforts—and tapped a former AI expert at DeepMind, Igor Babuschkin, to join the company. His goal? To ensure AI develops in a way that benefits humanity and guarantees that superintelligent AI doesn’t cause existential risks to the species at large. Musk has made some bold public statements before; it will be interesting to see what develops. We tested out Google Duet AI Google recently released Duet AI for Google Workspace, an AI copilot across popular Google apps like Docs, Sheets, Slides, Gmail, and Meet—and Marketing AI Institute took a deep dive into its capabilities. Over the last week, we’ve spent hours kicking the tires of different Duet AI capabilities across the main apps…and we definitely have some thoughts on how marketers and business leaders can take advantage of these new AI capabilities. Microsoft offers legal protection for AI copyright infringement challenges Microsoft just announced Copilot Copyright Commitment, a policy that provides legal protection for customers sued for copyright infringement when using Microsoft's AI systems like GitHub Copilot and Bing Chat. This comes as the explosion of generative AI tools has raised concerns about reproducing copyrighted material without attribution, and Microsoft aims to give customers confidence in deploying AI without worrying about copyright issues by covering any legal damages. The policy covers Microsoft AI products that use built-in guardrails, as the company faces ongoing litigation over Copilot's alleged copyright violations from scraping code. "As customers ask whether they can use Microsoft’s Copilot services and the output they generate without worrying about copyright claims, we are providing a straightforward answer: yes, you can, and if you are challenged on copyright grounds, we will assume responsibility for the potential legal risks involved," writes Microsoft. A big statement. What does that mean for businesses? Enjoy the episode…and stick around for the rapid-fire topics, including announcements at INBOUND, Time’s Top 100 People in AI, and much more.
Pirated books are powering generative AI The Atlantic just released a major investigative journalism piece that proves popular large language models, like Meta’s LLaMA, have been using pirated books to train their models—a fact that was previously alleged by multiple authors in multiple lawsuits against AI companies. The article states, “Upwards of 170,000 books, the majority published in the past 20 years, are in LLaMA’s training data. . . . These books are part of a dataset called “Books3,” and its use has not been limited to LLaMA. Books3 was also used to train Bloomberg’s BloombergGPT, EleutherAI’s GPT-J—a popular open-source model—and likely other generative-AI programs now embedded in websites across the internet.” According to an interview in the story with the creator of the Books3 dataset of pirated books, it appears Books3 was created with altruistic intentions. Reisner interviewed the independent developer of Books3, Shawn Presser, who said he created the dataset to give independent developers “OpenAI-grade training data,” in fear of large AI companies having a monopoly over generative AI tools. The 2023 State of Marketing AI Report findings Marketing AI Institute, in partnership with Drift, just released our third-annual State of Marketing AI Report. The 2023 State of Marketing AI Report contains responses from 900+ marketers on AI understanding, usage, and adoption. In it, we’ve got tons of insights on how marketers understand, use, and buy AI technology, the top outcomes marketers want from AI, the top barriers they face when adopting AI, how the industry feels about AI's impact on jobs and society, who owns AI within companies, and much more. Paul and Mike talk about some of the most interesting findings from the data. New York Times considers legal action against OpenAI as copyright tensions swirl OpenAI just announced a big update: You can now fine-tune GPT-3.5 Turbo to your own use cases. This means you can customize the base GPT-3.5 Turbo model to your own needs, so they perform much better on use cases that may be custom to your organization’s specific needs. For instance, you might fine-tune GPT-3.5 Turbo to better understand text that’s highly specific to your industry or business. You might also fine-tune models to sound more like your brand in their outputs or remember specific examples or preferences when producing outputs, so you don’t have to spend resources and bandwidth on highly complex prompts every time you use a model. Notably, OpenAI says: “Early tests have shown a fine-tuned version of GPT-3.5 Turbo can match, or even outperform, base GPT-4-level capabilities on certain narrow tasks.” They also note fine-tuning for GPT-4 will be coming this fall. Plus…the rapid-fire topics this week are interesting, so stick around for the full episode. Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute
AI is going to eliminate way more jobs than anyone realizes AI is going to eliminate way more jobs than anyone realizes, according to a new in-depth article from Business Insider. The publication says AI could disrupt over 300 million jobs worldwide but also add trillions in value to the economy. The article dives into a number of data points that support this conclusion from various sources, including the fact that non-generative and generative AI is estimated to add between $17 trillion and $26 trillion to the global economy. While it’s very hard for economists and technologists to predict exactly what happens next, the article does a solid job of curating the current thinking from some of the top minds and institutions—including AI’s impact on employment and career skills. AI’s exciting and uncertain impact on schools Kids are in full swing going back to school here in the U.S., but there are equal parts excitement and uncertainty as schools everywhere try to grapple with the chaos and opportunity provided by AI tools like ChatGPT. We’re seeing more schools release policies or guidance on the use of AI in the classroom, but those policies and guidelines are often different in tone and content. Some schools are cracking down on AI use in the classroom, and restricting how students are able to use it. Others appear to be taking a positive view of the technology, attempting to guide students and educators on how to make the most of AI tools in a sensible way. Given how important the topics are, and how much uncertainty there is around these policies, we wanted to explore them more in-depth given how quickly AI has upended education as usual. New York Times considers legal action against OpenAI as copyright tensions swirl The New York Times is exploring suing OpenAI over using its articles to train AI models like ChatGPT without permission, according to reporting from NPR, setting up a potential major copyright battle over generative AI. The Times is concerned ChatGPT competes with it by answering questions using the paper's original reporting. If AI tools replace visiting news sites, it threatens the Times' business. The Times is also concerned about how OpenAI’s systems get information by scraping the internet, and potentially copyrighted material, to train models. The Times and OpenAI have been discussing a licensing agreement for the Times’ content, but NPR seems to indicate this has gone so poorly the Times is now considering legal action. And, unsurprisingly, there’s a lot more covered. Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home
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It’s been another interesting week in the world of AI…with a few things we need to keep our eyes on. Paul and Mike break it all down—and then some—on this week’s episode of The Marketing AI Show. Anthropic CEO joins the Dwarkesh podcast to talk about the future of AI. Dario Amodei, CEO and co-founder of Anthropic (maker of the Claude 2 large language model released in July of this year), just gave a wide-ranging interview on the future of AI. The interview took place on a recent episode of the Dwarkesh Podcast (linked in the show notes). It’s a must-listen, primarily because these types of interviews aren’t all that common. Due to considerations around competition and security, the heads of major AI outfits don’t always share in-depth their views on the industry and where it’s going. Not to mention, Amodei himself has a relatively small footprint online, so hearing from him is even less common. We’d encourage you to listen to the entire episode, but on our podcast, Paul and Mike call out some big highlights that have us thinking a little differently about the future of AI. Red-teaming at DEF CON finding flaws and exploits in chatbots If you aren’t familiar with “red-teaming,” it’s a critical aspect of making generative AI models that are as safe and aligned as possible. For example, GPT-4 was red-teamed for 6 months before its release in March 2023. This week, top hackers from around the world have converged at DEF CON in Vegas to find flaws and exploits in the latest chatbots from OpenAI, Google, Anthropic, and Stability. The teams working on red teaming often find these exploits by trying to “break” these systems in novel ways and by imagining creative, though nefarious, ways in which AI tools can be misused. The Washington Post shares examples of red-teaming: “AI red teams are studying a variety of potential exploits, including “prompt attacks” that override a language model’s built-in instructions and “data poisoning” campaigns that manipulate the model’s training data to change its outputs.” The results of the competition will be kept under wraps for a few months, so companies have time to address any issues highlighted by the red teaming efforts. Award-winning author finds AI-generated books written in her name Author Jane Friedman, who has written multiple books and was named a “Publishing Commentator of the Year” for her work in the publishing industry, woke up to a nightmare this week. A reader emailed her about her new book which just hit Amazon. The nightmare wasn’t due to getting a terrible review from a reader, it was due to the fact Friedman hadn’t written a new book at all. Friedman quickly discovered that half a dozen books had been published under her name that she didn’t write—and the books were AI-generated. The fake titles have since been removed from Amazon, but not before Friedman met resistance from the company. Paul and Mike explain the situation…and the implications. There are rapid-fire topics to be discussed, including Zoom backtracking since last week’s episode, and much, much more. Tune in!
Huge updates for ChatGPT are announced OpenAI just announced huge updates for ChatGPT that hold the potential to transform how we use this popular AI tool. The updates include a number of things including: Prompt examples: At the beginning of a new chat, you’ll now see examples to help you get started; Suggested replies: ChatGPT now suggests relevant ways to continue your conversation; GPT-4 by default: When starting a new chat as a Plus user, ChatGPT will remember your previously selected model — no more defaulting back to GPT-3.5; Upload multiple files: You can now ask ChatGPT to analyze data and generate insights across multiple files. This is available with the Code Interpreter beta for all Plus users; Stay logged in: You’ll no longer be logged out every 2 weeks; Keyboard shortcuts: Work faster with shortcuts, like ⌘ (Ctrl) + Shift + ; to copy last code block. Try ⌘ (Ctrl) + / to see the complete list. Also, missing from the update announcement but spotted by entrepreneur Neal Khosla on Twitter (and confirmed by Marketing AI Institute) it looks like the cap on messages in GPT-4 (within ChatGPT Plus) has gone away. A new, autonomous AI agent debuts from OthersideAI Matt Shumer, the CEO of OthersideAI, maker of the popular AI writing tool Hyperwrite, just debuted an AI system called “Agent-1,” a breakthrough model that can operate software like a human. Agent-1 will power the company’s Personal Assistant product, which lets you give AI commands that it can then execute autonomously using your web browser. In a demo video posted to Twitter, Shumer showed Agent-1 controlling a Google Cloud dashboard on its own. Other demo videos of Personal Assistant have shown the tool autonomously planning travel for a user and drafting and sending an email to team members on its own based on a simple command given by the user. A vertical-specific LLM launches - and is a good example of what’s possible Writer, a leading AI software tool and friend of Marketing AI Institute, has released a large language model designed specifically for use in healthcare. The model is called Palmyra-Med, and Writer says it has outperformed both GPT-4 and medically trained human test-takers on PubMedQA, the leading benchmark for biomedical question answering. Unlike a generic model like GPT-4, which knows a little bit about a lot of things and, as such, can be used for a wide variety of tasks, Palmyra-Med is specifically trained on publicly available sets of medical data. Writer clearly hopes to make generative AI much more accessible to healthcare organizations. Historically, adoption in healthcare of LLMs has been limited, given healthcare organizations’ needs for specific medical accuracy from AI tools and robust security and compliance features that many AI systems lack. How will this change AI in an industry like healthcare? There are many more topics to be discussed, including McKinsey’s annual report, and a peek inside what’s happening over at Zoom.
That’s a wrap on MAICON 2023, and Paul and Mike break down some common themes, key takeaways, thoughts on what’s next, and much, much more. And while our annual Marketing AI Conference was top of mind the most, a story on Sam Altman and more news on generative AI’s impact on jobs were two topics that needed to be covered. A recap of MAICON 2023 In case you’ve missed it, it’s been a huge week here at Marketing AI Institute as we just wrapped up our 2023 Marketing AI Conference (MAICON) last Friday. This event was our biggest yet by far, with 700+ amazing marketers and business leaders coming together in Cleveland (our home base) to share, collaborate, learn, and grow together. We had a spectacular lineup of speakers, 2+ days of incredible content, and world-class conversations and connections between some of the top professionals in AI, marketing, and business. Paul and Mike talked through some of the highlights. Whether you attended or weren’t able to make it, we hope this portion of the podcast creates some value for you and helps you learn more about this unique event in our industry. The Atlantic posts an interesting story on Sam Altman The Atlantic just published one of the most comprehensive deep dives into OpenAI—its history, where it stands today, and where it’s going. And this article was informed by several in-depth interviews with CEO and co-founder Sam Altman. Titled “Does Sam Altman Know What He’s Creating?”, the article looks at how OpenAI went from near-failure trying to develop rudimentary AI models to GPT-4, which Altman described to the reporter as an “alien intelligence.” This article is long but well worth reading in full. The link is below. There’s too much to summarize in this short paragraph, so be sure to tune in. You won’t regret it! Generative AI and another look at the future of work Will AI take your job? According to some new research from McKinsey, it’s complicated. McKinsey just released a report called “Generative AI and the future of work in America.” In this report, they attempt to forecast AI’s impact on employment in the U.S. Overall, McKinsey said that employment changes caused by AI that they’ve been tracking in earlier research “are happening even faster and on an even bigger scale than expected.” Some of the research’s key findings include:
By 2030, activities that account for up to 30 percent of hours currently worked across the US economy could be automated—a trend accelerated by generative AI.
Generative AI could enhance the way STEM, creative, and business and legal professionals work rather than eliminating a significant number of jobs outright.
Automation’s biggest effects are likely to hit other job categories, which include office support, customer service, and food service employment.
An additional 12 million occupational transitions may be needed by 2030. As people leave shrinking occupations, the economy could reweight toward higher-wage jobs. Workers in lower-wage jobs are up to 14 times more likely to need to change occupations than those in highest-wage positions, and most will need additional skills to do so successfully. Women are 1.5 times more likely to need to move into new occupations than men.
The United States will need workforce development on a far larger scale as well as more expansive hiring approaches from employers. Employers will need to hire for skills and competencies rather than credentials, recruit from overlooked populations (such as rural workers and people with disabilities), and deliver training that keeps pace with their evolving needs.
There’s plenty more data in this research that is worth checking out, and this is a segment in the podcast worth listening to.
With MAICON 2023 just around the corner, Paul Roetzer and Mike Kaput break down very different directions of AI this week. From incredible to dumb, from thorough to questionable, there’s lots to break down. Meta’s incredible new (free!) ChatGPT competitor is here Meta’s latest announcement has big implications for the world of AI. The company announced that its new, powerful large language model, LLaMA 2, will be available free of charge for research and commercial use. The model is “open source,” which means anyone can copy it, build on top of it, remix it, and use it however they see fit. This puts an extremely powerful large language model into anyone’s hands—and gives them the appropriate permissions to build products with it. But that’s not all. It signals a major strategic direction that Meta is taking to compete with other AI companies—one that could have an effect on AI safety. Some major AI players place serious restrictions on the use and release of their models, often due to concerns about how models might be misused if they’re put in the wrong hands without guardrails. Meta is taking the opposite approach, believing that getting the technology into anyone and everyone’s hands will make the technology better much faster—and more quickly help Meta reveal and address issues that contribute to safety, like the use of the model to produce misinformation or toxic content. Will this new approach be successful? Elon Musk changes Twitter to X Musk is in this news again. As of the morning of the podcast recording (July 24, 2023), he has formally rebranded Twitter as X. The platform formerly known as Twitter hasn’t changed much aside from its logo, but it seems like Musk and leadership are viewing it as just one piece of a much larger entity. In a somewhat cryptic set of tweets, CEO Linda Yaccarino said: “X is the future state of unlimited interactivity – centered in audio, video, messaging, payments/banking – creating a global marketplace for ideas, goods, services, and opportunities. Powered by AI, X will connect us all in ways we’re just beginning to imagine.” In the past couple weeks, Musk has also announced xAI, his new company dedicated to building “good” artificial general intelligence and competing with OpenAI, among others. Time will tell what this means for the future of the brand. Meta, Google, and OpenAI Make AI Responsibility Promises to the White House Seven major AI companies—Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI—have all agreed to safety commitments proposed by the White House. The commitments include promises to engage in “security testing” carried out by independent experts, using digital watermarking to identify AI-generated vs. human-generated content, testing for bias and discrimination in AI systems, and several other safety-related actions. It should be noted these are simply voluntary commitments publicly announced by the companies and the White House, not any type of formal regulation or legislation. We discuss this on this week’s episode and will keep our eyes on this for you. Tune into the last pre-MAICON 2023 episode! We’ll be back next week with more news, more insights, and lots of MAICON takeaways to share with you all.
AI-Powered Content Strategy In exciting news, this podcast, The Marketing AI Show, recently surpassed 100,000 downloads. That’s exciting and a huge milestone for us, but the story is the content strategy…and AI’s role in it. Prior to October 2022, the podcast format was interview-style, where Paul was vetting experts, scheduling interviews, and more, causing inconsistency. This led to the podcast being an afterthought in the marketing strategy. Then in October, we put the weekly podcast at the center of our content strategy. Today, each episode averages more than 4,500 downloads. To put that in perspective, we had 4,800 downloads the entire year of 2022! Plus, we’ve heard from listeners all over the world about how the podcast has impacted them, and how they’ve come to rely on it for their weekly AI news. In this podcast episode, we’re going to talk a bit about how the podcast became key to our content strategy and how AI makes it possible to efficiently produce high-quality episodes that perform. Claude 2 from Anthropic Major AI company Anthropic just announced the release of Claude 2, its new foundational AI model. Similar to ChatGPT, you can engage with Claude 1 and now Claude 2 through natural language prompts to perform a range of functions, like generating text, answering questions, and producing code. Claude 2 has improved reasoning from Claude 1, and even scores above the 90th percentile on the GRE reading and writing exam. Some of the changes are impressive, including most notably, the number of tokens you can input into Claude 2 is massive. You can input up to 100,000 tokens into a single prompt, which, says Anthropic, “means that Claude can work over hundreds of pages of technical documentation or even a book.” Is 100,000 a lot? Yes…The Great Gatsby would be about 72,000 tokens! There are also so many other great benefits and enhancements. Paul and Mike break them down in the 2nd story of the podcast. Major Google Bard updates Google just announced a ton of new features for Bard, its ChatGPT-like conversational agent. Bard is now available in 40 languages and many more countries than before, including the European Union. Some of the other major updates include changing the tone and style of Bard's responses to five different options, you can drop images into it and have Bard perform a range of tasks related to the image, you can share Bard’s responses with others via shareable links, and more. Tune in to the podcast to hear more of the updates both from a functionality as well as a UX standpoint. We cover a lot of ground this week, and per usual, it was another big week in AI news stories, so be sure to tune in!
As generative AI continues to improve, iterate, and integrate, there are news stories to discuss and advancements to break down. That’s why we’re happy Paul Roetzer and Mike Kaput are back for episode 54 of The Marketing AI Show. ChatGPT Code Interpreter available for all OpenAI announced on July 6 that ChatGPT’s Code Interpreter feature will be made available to all ChatGPT Plus users. Previously, only select users received access after signing up for a waitlist. Code Interpreter gives ChatGPT the ability to run code, use files you upload to produce outputs, analyze data, create charts, and perform sophisticated math. This gives ChatGPT the ability to do all sorts of data analysis and code-dependent tasks it couldn’t do well before. People are already using Code Interpreter in interesting ways including customer segmentation, data visualization, and data analysis. The misuse of AI in content and media A handful of stories in the past several weeks are shedding light on the dangers and misuse of AI in content and media. A report from misinformation tracking site NewsGuard shows that content farms using AI to generate hundreds of low-quality articles a day are raking in programmatic ad dollars—and hundreds of brands are unwittingly supporting them. And otherwise legitimate media sites are following their lead. Tech site Gizmodo recently started publishing AI-generated content and the results were problematic. One article on Star Wars movies was riddled with inaccuracies and prompted an outcry from Gizmodo staff, who said these types of stories were “actively hurting our reputations and credibility” and showed “zero respect” for journalists. Last, but certainly not least, news came out of a leaked email from German tabloid Bild detailing how the publication plans to replace over a hundred jobs with AI. Investors are betting on generative AI. Why and how? Research recently published by McKinsey estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion of annual value to the global economy. The firm estimates that about 75% of this value will accrue through four use cases: customer operations, marketing and sales, software engineering, and R&D.The impact will be felt across all industries and sectors, but McKinsey specifically points out that banking, high-tech, and life sciences could see the largest impact. The full research report is well worth a read. But the larger point here is that the possible market impact of generative AI is massive. And investors are clearly responding to that, having just written some huge checks to leading generative AI companies. One big example: Inflection AI announced it raised $1.3 billion in a fresh fundraising round led by Microsoft, LinkedIn founder Reid Hoffman, Bill Gates, and NVIDIA.Inflection AI has been around just over a year and, in that time, the company has built one of the world’s most sophisticated large language models, which powers Pi, its personal AI assistant product. The company is also the “largest AI cluster in the world comprising 22,000 NVIDIA H100 Tensor Core GPUs.” It’s also important to note that Inflection AI’s CEO and co-founder Mustafa Suleyman also co-founded DeepMind, which was acquired by Google and forms the backbone of their AI work. Another example: At the same time, Runway, which builds generative AI tools for creators, announced a $141 million extension to its Series C funding round from companies like Google, NVIDIA, and Salesforce Ventures.
The band is back together! After Episode 51’s Year (so far) in Review and Episode 52’s Top AI Questions episodes, Paul Roetzer and Mike Kaput are back to the podcast format you’re used to. Well, sort of. Because there’s a bit of news to catch up on, many topics that took place over the past few weeks were covered in this episode. We hope you enjoy it! Salesforce Unveils AI Cloud Offering Salesforce just launched “AI Cloud,” which gives enterprises the ability to safely use enterprise-ready AI. AI Cloud is a platform that hosts the company's AI-powered products, such as Einstein, Slack, and Tableau, as well as large-language models from other providers like Amazon Web Services. The firm aims to cater to enterprises by ensuring data privacy and preventing AI models from retaining sensitive customer information. According to Reuters, Salesforce says the AI Cloud “starter pack” will be available for $360,000 annually, the company said. The U.S. Senate Gets Up to Speed on AI Senate Majority Leader Chuck Schumer announced a series of educational sessions on artificial intelligence for senators as Congress explores potential regulations for the technology. The first session, led by MIT professor and machine learning expert Antonio Torralba, aims to provide a general overview of AI and its current capabilities. The initiative underscores the importance of lawmakers understanding AI, its implications, and its challenges in order to create legislation that both fosters its potential for human prosperity and mitigates its risks. This seems like a positive step forward, but is it surprising that the Senate is only just now starting to educate its members on AI’s basics? In addition, President Biden and his advisors have been leveraging AI technology, such as OpenAI's ChatGPT, and have moved AI from a peripheral concern to a central priority in policy development, recognizing its potential for both tremendous benefits and risks. The White House is acting with urgency to establish a regulatory framework for AI through executive orders and new policies, aiming to maximize positive impact and mitigate unintended consequences, with a focus on areas such as cybersecurity, consumer protection, and economic transformation. Hyperwrite’s Matt Shumer announces GPT Author What if we told you AI can now write entire novels in minutes based on an initial text prompt? Matt Shumer, co-founder and CEO of OthersideAI, which makes the AI writing tool, HyperWrite, recently announced an open-source project called GPT Author. The project strings together a chain of AI systems to write an entire book for you in minutes, complete with cover art and easy export to the Kindle store—all based on a description of the high-level details you want to see in your novel. Tune in for his experience and Paul’s reaction. This summary only scratches the surface of the topics covered, so be sure to tune in! The Marketing AI Show can be found on your favorite podcast player and be sure to explore the links on our website: www.marketingaiinstitute.com.
After 26 Intro to AI classes since November 2021, we’ve seen quite the gamut of questions from our attendees. So far in 2023, we’ve hosted seven classes, with a collective 147 questions asked. We wanted to take this week’s podcast episode and run through the most commonly asked questions–and answers. We hope you enjoy this episode, and join us for our next Intro to AI for Marketers class on June 28!
00:07:03 — How do you define "generative" in the context of AI, and how might it be applied in various marketing disciplines, such as marketing, design, or podcasting?
00:08:07 — How can marketers balance the integration of AI in their strategies while maintaining the human touch and creativity in their campaigns? How will the role of human creativity evolve within this AI-driven landscape?
00:11:14 — As AI continues to improve, how can writers maintain their value in a world where AI is getting better at creating flowing and creative content?
00:13:13 — Given the rapid pace of change in marketing technology, what advice would you offer to businesses trying to navigate the influx of AI tools in the market, and how can they build a coherent tech stack?
00:16:01 — As more and more AI-based companies emerge, how can marketers discern which ones to invest in for their company's specific needs?
00:19:09 — How can the marketing department work collaboratively with IT/AI/technology teams to leverage AI capabilities?
00:20:48 — Do marketers need to be concerned with plagiarism when using AI writing tools? Do AI writing detection tools work?
00:25:43 — How can someone verify the content generated by AI?
00:28:33 — Can AI replace or supplement roles like graphic designers? And how accessible are these AI tools for non-designers to create their own visuals?
00:30:08 — What are the potential impacts and opportunities for agencies as AI technology advances? How can they adapt today to ensure they aren't left behind?
00:32:56 — In terms of language capabilities, how far have AI tools come, and what can expect moving forward?
00:36:01 — Given the rise of privacy concerns with AI tools, what guidelines should companies follow while using AI models like ChatGPT?
00:38:06 — How can companies ensure they comply with copyright regulations when generating images with AI? How do you envision the evolution of copyright legislation in the context of large language model AI? How should companies handle their proprietary data?
00:44:13 —I want to get started TODAY. What are some steps I should take immediately to learn or to identify ways I should get started?
00:47:03 — As we move toward an increasingly AI-driven world, what are your thoughts on the future role of humans? What advice would you give to those who might feel threatened by the rise of AI?
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This week’s episode features Paul Roetzer giving a quick year-in-review. It’s been a busy six months, and Paul references some of the top stories and developments of 2023. Hear more, and visit our website for links, YouTube videos, and more. (www.marketingaiinstitute.com) 00:05:08 Jan. 16: ChatGPT Disrupts Education 00:05:53 Jan. 17: Getty Images Announces That It Has Commenced Legal Proceedings Against Stability AI; 00:08:05 Jan. 28: Marketing AI Institute’s Responsible AI Manifesto 00:11:51 Feb. 1: UBS Announces That ChatGPT Hit 100M Users in January 00:12:33 Feb. 6: Google Bard Is Announced 00:14:13 Feb. 7: Microsoft Announces AI-Powered Bing and Edge 00:14:53 Feb. 24: Meta Publicly Releases LLaMA Under a Noncommercial License Focused on Research Use Cases 00:17:44 Mar. 2: Marketing AI Institute’s Law of Uneven AI Distribution 00:20:24 Mar. 6: HubSpot Releases ChatSpot in Public Alpha (and Content Assistant in Private Beta) 00:22:19 Mar. 7: Salesforce Announces Einstein GPT in Closed Pilot 00:23:36 Mar. 14: GPT-4 Is Announced 00:25:02 Mar. 14: Google Announces PaLM and Expanded AI Features in Google Workspaces 00:27:04 Mar. 14: Anthropic Announces Claude 00:29:03 Mar. 16: U.S. Copyright Office Releases Generative AI Guidance 00:30:48 Mar. 16: Microsoft Introduces Microsoft 365 Copilot 00:32:55 Mar. 20: Runway Announces Gen-2 00:34:34 Mar. 21: Adobe Announces Firefly Generative AI Capabilities 00:36:25 Mar. 22: AI Experts Release Open Letter to Pause AI Development 00:38:46 Mar. 23: OpenAI Announces ChatGPT Plugins 00:40:05 Mar. 30: Release of AutoGPT 00:42:24 Mar 31: Italy Bans ChatGPT 00:43:28 Apr. 13: Amazon Announces Generative AI in AWS 00:44:55 Apr. 19: Marketing AI Institute Statement on Knowledge Work 00:47:02 May 1: Geoff Hinton Announces He Has Quit Job at Google Over Safety Concerns 00:49:35 May 10: Google Announces Generative Search Experience 00:50:35 May 16: Sam Altman Testifies Before Congress 00:52:40 May 30: AI Poses “Risk of Extinction” According to AI Leaders 00:54:06 June 5: Apple announces Vision Pro 00:55:51 Jun 7: DeepMind Announces AlphaDev Breakthrough in Sorting Algorithms 00:59:02 June 8: Cohere announces $270M Series C
While our Institute focuses on AI in the marketing world, some of the biggest companies in the world are finding AI applications for the business world and our personal lives. Artificial intelligence will be, and already is, embedded in our world. What are the big players working on? Mike and Paul discuss this on this week’s podcast. This episode kicks off discussing consulting firm Deloitte, who recently published a rundown of how AI for work relationships could be the next big thing in your office. Deloitte says that AI can “analyze human interactions during and after an event to generate personalized, confidential recommendations at an individual and organizational level to help improve human interactions at work.” They give a hypothetical example to illustrate the point: Imagine a near-future workplace where AI recommends how you should write a diplomatic email to two leaders pulling you into a nasty turf war. In this scenario, AI could recommend appropriate language and courses of action to resolve the dispute. It’s an interesting discussion on the opportunities and challenges, including the five areas Deloitte feels AI will have a big impact on work relationships. Next, OpenAI, the creators of GPT-3 and DALL-E 2, just launched a program to fund and support founders creating transformative AI companies. The program is called Converge. According to the company, it is a “highly-selective, five-week program for exceptional engineers, designers, researchers, and product builders using AI to reimagine products and industries.” Participants receive a $1 million equity investment from OpenAI’s Startup Fund. They also get early access to OpenAI models and programming tailored to AI companies. In addition, they get workshops, office hours, and events with AI practitioners. OpenAI says it’s motivated by “the belief that powerful AI systems will spark a Cambrian explosion of new products, services, and applications.” Mike and Paul discuss why hungry entrepreneurs are critical to the success and adoption of AI. Lastly, this past week, Google revealed a handful of incredible AI projects that it’s been working on, and they provide a glimpse of the near future of AI. These reveals break down into two broad categories: AI for social good and generative AI. On the social good front, Google revealed ideas such as AI for wildlife tracking, AI for flood forecasting, an AI-powered maternal health app, and an AI model that speaks the world’s 1,000 most-spoken languages. On the generative AI side, Google revealed self-coding robots, where robots can autonomously generate new code. Mike goes through a cool example, and they discuss the implications of these new projects. Listen to this great conversation with our team, and stick around for the end of the podcast for the rapid-fire discussion at the end!
This week Paul and Mike talk about three news stories and happenings in the world of artificial intelligence, and they break down their importance to marketers. In a word (or two): buckle up. Well-known marketer Neil Patel recently revealed the results of Google’s latest algorithm updates on sites he owns that have AI-generated copy—and the results weren’t pretty. Patel disclosed that he has “100 experimental sites that use AI-written content.” He claims the sites are simply to figure out how Google perceives AI-written content, not to “game” the algorithm. Regardless of the motivation, he sure found out. Next, Boston Consulting Group, BCG, recently released its guidelines for how companies should approach AI based on its Responsible AI Leader Blueprint. BCG defines responsible AI as “developing and operating artificial intelligence systems that align with organizational values and widely accepted standards of right and wrong while achieving transformative business impact. And finally, earlier this year, the Partnership on AI did work on better understanding how AI will change the local news landscape by talking to 9 different experts in the space, including prominent media outlets and technologists. The Partnership on AI is a major nonprofit that was founded by Amazon, Facebook, Google, DeepMind, Microsoft, and IBM to research and share best practices around the development and deployment of artificial intelligence. Listen to the conversation.
Paul and Mike return, discussing three more hot topics in the world of artificial intelligence. Adobe, along with many other innovators, has been experimenting with Generative AI. It is a transformational technology, one that will accelerate the ways artists brainstorm and explore creative avenues — and make creativity accessible to millions more people. At the same time, like many new technologies, Generative AI has raised valid concerns. Among the questions: How is the work of creative people being used to train AI models? And how will we know whether something we see was created by a human or a computer? Next, New York City-based CALA, a startup that bills itself as the “world’s first operating system for fashion,” offers a digital platform (including a mobile app launched in March) that allows creators to design and produce clothing lines, unifying the process from product ideation through order fulfillment. With the addition of DALL-E-powered text-to-image generating tools, users can generate new visual design ideas from natural text descriptions or uploaded reference images – which the company says are first-of-its-kind capabilities for the fashion industry. And finally, Sequoia Capital just signaled that they’re all-in on generative AI. Sequoia is one of the best-known venture capital firms on the planet, with decades of experience investing in some of tech’s biggest names like Apple, Google, Instagram, LinkedIn, and PayPal. Recently, Sequoia published a post called “Generative AI: A Creative New World,” where they laid out their position on generative AI tools like Jasper, DALL-E 2, Stable Diffusion, and others taking the world by storm. Listen to the conversation.
It was a busy week in the world of artificial intelligence! Mike and Paul are back on The Marketing AI Show to discuss three AI hot topics in the news. They’ll add their take on these developments and what it means for marketers and business leaders—and perhaps with an idea or two on how the Marketing AI Institute could support you. Gartner came out with a report identifying seven technology disruptions that will transform sales over the next five years. Gartner says sales leaders need to recognize, prioritize and respond to these disruptions: generative artificial intelligence (AI), digital twin of the customer, augmented reality/virtual reality (AR/VR), machine customers, digital humans, emotion AI, and multimodality. Next, It was a good week for generative AI funding. Stability AI, the world's first community-driven, open-source artificial intelligence (AI) company, raised $101 million in funding. Additionally, Jasper secured a $125 million series A funding round at a $1.5 billion valuation.
This week Paul and Mike talk about three AI stories in the news and add their take on these developments and what it means for marketers and business leaders. On October 4, the White House released what it calls an “AI Bill of Rights,” a document that offers a blueprint of “five principles that should guide the design, use, and deployment of automated systems.” It is not binding in any way, legally or otherwise. But they are an important initial effort by the US government to draw attention to the impact of artificial intelligence on our daily lives. In an exclusive interview with McKinsey released in late September, Dr. Kai-Fu Lee, a world-leading AI expert, investor, and author spoke with McKinsey about how business leaders can use AI in their operations and what it means to be a truly AI-driven company. Meta, the company formerly known as Facebook, just released Make-A-Video, an AI system that turns text prompts into machine-generated video clips. This means you can type in a prompt, like “a horse drinking water,” and Make-A-Video will understand the prompt and create a video clip of it in a specific style. This type of generative AI does for video what a tool like DALL-E 2 does for images: it creates unique visuals from a simple text prompt in seconds. The tool isn’t yet publicly available like DALL-E 2 but has major implications for businesses and creators.
This is a special, book-launch edition for Marketing Artificial Intelligence: AI, Marketing and the Future of Business, which is available starting June 28, 2022, in audio, digital, and print. Marketing AI Institute’s Founder & CEO, Paul Roetzer, and Chief Content Officer, Mike Kaput, join forces to show marketers how to embrace AI and make it their competitive advantage...and discuss it on this week's podcast. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into a near future in which marketers and machines work seamlessly to run personalized campaigns of unprecedented complexity with unimaginable simplicity.
In a survey by IBM, 3,000 CEOs said technological factors were the number one concern for their enterprises over the next two to three years. As a result, 60% say they’re accelerating digital transformation efforts. This should be good news for CMOs. According to research from The CMO Council, the majority of the C-suite says the essential role of a CMO is to be a digital transformation leader. As companies go all-in on digital transformation driven from the top, CMOs should stand to benefit. But are CMOs prepared? In this week’s episode, Paul and Mike break down some key findings from our AI for CMOs report, discuss opportunities for CMOs and marketing leaders, and more.
AI has many use cases for the marketing world, and this week Paul Roetzer and Mike Kaput are talking about AI for advertising. From allocating ad budgets to optimization, ad versioning, targeting, copywriting, and more, AI can help advertisers and agencies more than many realize. This episode is the first in a series of AI use cases by marketing discipline, based on chapters of their new book, Marketing Artificial Intelligence: AI, Marketing, and the Future of Business. Paul and Mike talk about case studies including HOLT CAT, Vanguard, and more.
With each day that passes, and each advancement in artificial intelligence language and vision technology, it is becoming more apparent that there will be three types of businesses in every industry: AI Native, AI Emergent, and Obsolete. Paul Roetzer kept running through examples in his mind—retailers, ecommerce shops, marketing agencies, event businesses, media companies, law firms, medical practices, artists, writers, graphic designers, financial advisors, banks, insurance brokers and carriers, software makers, game and app developers, real estate brokers, consumer products makers, hotels, restaurants, manufacturers, distributors, educational institutions—and he couldn’t come up with an industry or business model where this won’t be true. That's the basis for this week's Marketing AI Show podcast. In this episode, Paul is in the hot seat, and our Chief Content Officer, Mike Kaput, interviews Paul about this topic and a recent article he posted about it.
In this week's episode, Paul and Mike sit down to talk about AI and how we use it at the Marketing AI Institute. With our annual Marketing AI Conference (MAICON) coming up in August, we're currently marketing the event and pushing registrations. But with so many folks in our database, how can we laser focus our efforts? We're using AI and technology to help us predict high priority contacts based on their probability to purchase (more intelligent)...so we can reach out to them with customized, personalized communications (more human).
We get transparent about our internal processes and hope you can learn something from this as well.
Paul Roetzer and Mike Kaput discuss AI in the news in this new format for our podcast. Recent breakthroughs in language and vision AI technologies are accelerating innovation and creating increased uncertainty about where the limits of intelligent systems will be in the months and years ahead. Every career path, business, and industry will be changed by AI. It’s simply a matter of time
And as designers learned with the introduction of DALL-E 2. And writers are learning with the rapid advancement of large language models from OpenAI, Google, Meta AI, and others. The future may be closer than we care to believe. So, what can you do to turn this uncertainty into opportunity? Start by asking three questions:
What will be lost?
What will be gained?
When?
If you’re curious enough to understand what AI is, and what it is capable of doing, you will be able to see the inevitable transformations that are coming to your profession. Listen to this episode with Mike and Paul.
As part of our AI for CMOs series sponsored by Persado, Paul Roetzer is interviewing CMOs paving the way in onboarding and scaling AI-powered technologies in their marketing and businesses. In this second episode in the series, Paul sits down with Andrea Brimmer, CMO of Ally. Ally, a leading full-scale digital financial services company, is currently using AI-powered technologies for conversational AI, document management, and to speed up and more efficiently run processes. Brimmer is widely recognized as one of the country’s most innovative and effective marketing leaders. Among her many honors and accolades include being named a winner of Adweek’s 2020 Brand Genius awards for marketers who have skillfully led their brands’ messaging to new heights. She has been named three times to Forbes’ list of World’s Most Influential CMOs and a two-time honoree of 100 Leading Women by Automotive News.
As part of our AI for CMOs series sponsored by Persado, Paul Roetzer is interviewing CMOs paving the way in onboarding and scaling AI-powered technologies in their marketing. In this first episode in the series, Paul sits down with John Dougherty, Chief Marketing Officer at Brighton Jones. John's role spans audience segmentation, automation, branding, digital media, events, messaging, inbound marketing, demand generation, and ROI. He develops the marketing vision and strategy with the support of his martech stack. Leaning on his agency experience, John views his business development team and business segments as “clients,” and focuses on providing the assets and tools needed for each to accomplish their goals. Improving marketing through the use of AI-powered tech opens up opportunities for John and his team to build and nurture and community through unique relationships with their customers.
In this week's episode, show host Paul Roetzer sits down with Cade Metz, technology correspondent for The New York Times, and author of the book Genius Makers: The Mavericks Who Brought AI to Google, Facebook and the World. This special episode took place during MAICON 2021 when Paul and Cade sat down for a fireside chat to discuss the story of AI throughout the past few decades. Cade's book, published in 2021, gives readers an insider’s look at the mavericks leading the race for AI supremacy. Genius Makers dramatically presents the fierce conflict between national interests, shareholder value, the pursuit of scientific knowledge, and the very human concerns about privacy, security, bias, and prejudice. Like a great Victorian novel, this world of eccentric, brilliant, often unimaginably yet suddenly wealthy characters draws you into the most profound moral questions we can ask. And like a great mystery, it presents the story and facts that lead to a core, vital question: How far will we let it go? As one of Paul's opening lines of the interview, "[Genius Makers] literally just changed my perspective on the significance of what's happening," this episode dives into greater detail into some important moments in the book.
In this week's episode, show host Paul Roetzer sits down with Karen Hao, senior AI editor, MIT Technology Review. This special episode took place during MAICON 2021 when Paul and Karen sat down for a fireside chat to discuss responsible AI. In this episode, Paul and Karen explore the ethical development and application of AI. Drawing on her expansive research and writing, Hao offers:
An inside look at the policies and practices of major tech companies.
Lessons learned that you can use to ensure your company’s AI initiatives put people over profits.
A look into what's next and what's needed for responsible AI.
In this week's episode, show host Paul Roetzer, sits down with Britney Muller, Founder of Data Science 101 and former senior SEO scientist with Moz. Britney is a prototype of what we call a next-gen marketer—or someone who understands what is possible with smarter technologies. In the episode, Muller talks about machine learning from her perspective, and the different tools and resources available to help apply AI in your career. She also discusses:
Specific AI use cases for SEO.
The impact of AI on marketing and SEO professionals in the next 3 - 5 years.
Advice for marketers who are just getting started with machine learning and AI.
In this episode, Kevin Walsh, Group Product Manager for AI at HubSpot, gives us an inside look at how HubSpot thinks about artificial intelligence, and what customers can be doing to take advantage of AI-powered features within the CRM platform. Show host Paul Roetzer also dives into HubSpot’s point of view on AI, AI applications in the platform that customers can use today to make their marketing smarter, and a little bit into the company’s product roadmap for AI solutions!
How can AI enable brands to deliver personalized customer experiences in real-time, so you can increase your revenue, shorten your sales cycle and strengthen your brand? Drift leaders, Maggie and Jordan, discuss how they use AI to achieve all of the above. They also share how Drift (the world's leading conversational marketing and sales platform) thinks about AI, plus how the company is integrating AI into its platform. Listen to the full episode for more on:
Virtual Selling Assistants and how they differ from other chatbots.
What an AI-powered industry means for marketers.
Tips to get started with conversational marketing or advance the process you already have.
We are entering the age of intelligent automation. What does it mean for marketers? How will our jobs evolve? These are just a few of the questions we sought to answer in the 2021 State of Marketing AI Report. We teamed up with Drift in fall 2020 to gain unparalleled insights into the awareness, understanding and adoption of AI throughout the industry. What we learned is that the industry is on the cusp of transformation. In this episode Paul Roetzer, Founder and CEO, Marketing AI Institute, and Mike Kaput, Director, Marketing AI Institute, dive deep into 10 key findings from the newly released research. Listen to the whole interview to hear more about:
Were there any surprises in the results?
What does it all mean for the future of the industry?
What does it mean for your career?
During his interview with show host Paul Roetzer, Harry discusses practical applications of AI that he has worked on and forecasts game-changing innovations coming in the next three to five years. Listen to the whole interview to hear more about:
How AI will change our jobs as marketers.
How machines can make us more human.
Why McDonald’s is one of the most innovative brands he’s worked with.
Tips for marketers looking to become innovators.
David Meerman Scott digs into the dark side of social media and considers the question: Is Facebook evil? He also shares his thoughts on how AI-powered algorithms are affecting the way we consume news, and what it all means to brands and marketers.
In this episode, we address the burning question that drove our show host, Paul Roetzer, to start exploring AI years ago: Can AI create content? Back in 2015, the answer was generally no. But, so much has changed that impacts journalists, marketers, and the future of business. In this interview with Jeff, we discuss:
How AI can level up your content marketing.
How major advancements in natural language generation (NLG) are transforming the field.
Predictions for the future of content marketing as we know it.
Plus, major MarketMuse announcements for 2021.
In this episode, our main topic is conversational AI. Paul and Christi discuss the prevalence of conversational AI in our everyday lives—from voice search to chatbots and how they affect consumer behavior. She also answers several questions she gets from her marketing peers:
When it comes to voice search, where are the answers pulled from? And how does that affect my brand’s ability to show up?
What is the difference between voice search and digital assistants?
How can marketers get started with conversational AI? And what role will it play for the future of marketing?
Mathew is regarded as one of the leading minds on the future of marketing. During his interview, Mathew discusses the “Post AI Consumer,” and how AI has already changed the way consumers connect, find things, interface with technology, and make purchasing decisions. Listen to the show to hear more about:
How deep fakes can actually be a positive thing.
Shopping on the "edge," and why it’s the next major wave of commerce.
How you can adapt to a world in which AI powers everything.
Ways to understand and apply AI in your career now.
In The Marketing AI Show, you’ll hear from top authors, entrepreneurs, researchers and executives as they share case studies, strategies and technologies that have the power to transform your business, and your career. Listen to the trailer for more on what to expect.