AI Scouting Report: AI Agents -vs- Agentic AI, from Imagine AI Live

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"The Cognitive Revolution" 35 min 1 speaker 4 chapters transcribed 1 month ago
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Nathan Labenz 0:01
Hello, and welcome back to the Cognitive Revolution. Today we're sharing a recent talk that I gave at Imagine AI Live on AI agents, the latest crop of agentic AI products, the Eureka moments they can deliver, and the concerning rise in bad behavior, such as reward hacking and scheming that we're starting to see from Frontier AI systems. My assignment for this talk was to bring an audience of business leaders with varying levels of AI knowledge up to speed on the rise of AI agents, from simple structured task automation to the more autonomous AI systems that are now starting to come online, and give them a roadmap for actually using AI productively in their businesses while maintaining a high standard for quality and consistency of execution.
Nathan Labenz 0:45
Obviously, that's a lot for just 30 minutes, and this talk is therefore necessarily a bit higher level than my usual content. But my hope is that you'll find this zoomed-out framing helpful as you continue to process the fire hose of AI agent news and discourse, and also that this episode might be one that listeners can share with leaders in your own organizations who could benefit from an introductory but still rigorously grounded survey of the field. I did use slides in my talk, and I would say it's probably better watched on YouTube, but we will link to the slides in the show notes for the audio only crowd. And for those that want to go deeper, note that just about every slide links to a source paper or project where you can obviously learn much more.
Nathan Labenz 1:23
I want to say a big thank you to Steve Metcalf and Chris Madden for inviting me and for running a first-class event with a really interesting lineup of speakers and a diverse group of attendees. The day before my talk, I had an opportunity to run a two hour workshop on AI adoption, where I met, among others, a rabbi who's pioneering the use of AI in his study of the Torah and the Talmud. And the day after, Dan Siroger, CEO of Limitless, shared a particularly inspiring vision for the future of his company. It was truly one of the very few startup ideas I've heard recently that meets the moment in terms of the scale and audacity of its ambition. His and all the other talks are available online with a paid membership in the Imagine AI Live online community.
Nathan Labenz 2:05
As always, if you're finding value in the show, we'd appreciate it if you'd share it with friends or leave us a review on Apple Podcasts or Spotify. And we welcome your feedback either via our website, cognitive revolution.ai or by DMing me on your favorite social network. Finally, I also want to welcome our newest sponsor to the podcast, Google. In our most recent episode, I spoke to Logan Kilpatrick about Google's 50x growth in AI usage over just the last year. And I can sincerely say, and this endorsement was not a condition of sponsorship, that Google's Gemini 2.5 Pro is absolutely a top-tier model, which developers should be considering for a wide range of projects. Especially those involving scanned document or video processing, or that require long context understanding.
Nathan Labenz 2:48
Its capabilities on those dimensions are genuinely unique in the market today. With that, I hope you enjoy this talk about AI agents, agentic AI, Eureka moments, and the rise of bad behavior from AI systems. And thank you to everyone who listens for being a part of the cognitive revolution.
Unknown 3:05
Welcome to the stage, Nathan Lebenz.
Nathan Labenz 3:15
All right. Good morning. So I'm here to try to tell you everything you really need to know about AI agents in 25 minutes. So buckle up, we're gonna move pretty fast because obviously there is a lot going on. Just real quick about me, I'm basically a full-time student of AI. I have a podcast where I try to explore it from all angles. I started this company, Waymark, which does video creation for small business. I was involved in the GPT-4 Red Team where we tried to figure out what the thing would and wouldn't do. Uh that's kind of a legendary story that's on the podcast. if you're interested. And I'm a small-time angel investor in a bunch of AI companies.

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