"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Brendan Fortuner, Head of Engineering at Ambience Healthcare, and Ben Shahshahani, Chief AI Officer at Cleveland Clinic, discuss the revolutionary impact of AI on medical documentation. They reveal how AI scribing can improve medical coding accuracy, significantly reduce administrative burdens, and enhance clinician satisfaction. With successful implementation strategies, Cleveland Clinic achieved a remarkable 75% adoption rate among physicians after just one use. The conversation also explores challenges in billing code integration and the promise of AI to improve patient care and operational efficiency.

In this engaging discussion, Manu Sharma, Founder and CEO of Labelbox—known for providing cutting-edge training data to AI labs—explores the evolution of AI training methods. He highlights the shift from simple labeling to sophisticated reinforcement learning environments. Sharma reveals how AI labs are investing massively in training data and discusses the nuances of post-training strategies. He shares insights on the competitive AI landscape, the importance of human data, and the interplay of creativity and AI in modern industries.

Roy Lee, Founder and CEO of Cluely, talks about his standout AI startup that recently snagged a $15 million investment. He introduces Cluely’s real-time assistant, which provides covert insights during meetings. Roy shares his audacious 'cheat on everything' philosophy, tackling the implications of copyright and privacy norms. The discussion touches on how young people's perspectives on work and creativity are shifting in an AI-dominated world, urging society to rethink its relationship with rapidly advancing technologies.

Adam Binksmith, founder of AI Digest, dives into his innovative AI Village project, where multiple AI agents like Claude and Gemini collaborate to achieve shared goals. He shares intriguing stories of agents raising money for charity and organizing real-world events, showcasing their surprisingly human-like behaviors. Binksmith discusses the mix of coordination failures and quirky personalities that arise in this environment, while teasing the competitive elements of the upcoming season focused on selling merchandise online. Tune in for insights into the future of multi-agent AI systems.

Nemil Dalal, Developer Platform Lead at Coinbase and co-creator of the X402 protocol, dives into the revolutionary potential of cryptocurrency payments for AI agents. He explains how the dormant HTTP 402 status code is being repurposed for digital transactions, paving the way for AI economic participation. The discussion also covers stablecoin dynamics, security measures like multi-signature wallets, and the vision of AI agents autonomously managing funds. Dalal addresses the need for reputation systems and how this technology might disrupt traditional advertising models.

MacKenzie Price, founder of Alpha School & 2 Hour Learning, champions a groundbreaking educational model that leverages AI to reduce traditional study time to just 2 hours a day while enhancing learning rates. She discusses the unique role of teachers as mentors rather than content deliverers, focuses on personalized curriculum systems paired with adaptive learning apps, and emphasizes the importance of emotional support in education. The conversation highlights how this AI-driven approach retains academic standards and fosters deeper student engagement and creativity.

Flo Crivello, CEO of the AI agent platform Lindy, shares his deep insights on AI agents, stripping away the hype to highlight what's actually effective. He discusses the importance of model selection, fine-tuning, and the role of human oversight in developing AI agents. Flo also sheds light on the evolution of AI capabilities, expresses skepticism about excessive optimism in AI trends, and emphasizes the need for structured workflows. The conversation is a treasure trove of practical advice for AI builders navigating the evolving landscape of intelligent systems.

Jesse Hoogland and Daniel Murfet, co-founders of Timaeus, pioneer AI safety with their focus on developmental interpretability based on Singular Learning Theory. They discuss the complex, jagged landscapes of neural networks and how their Local Learning Coefficient can identify critical training phase changes. This innovative approach aims to catch safety issues early, providing a more structured methodology for AI development. Their insights reveal the intricate relationships between training data, model behavior, and alignment, pushing for a principled engineering discipline in AI.

Dive into the fascinating world of AI agents and agentic AI systems! Discover how these technologies have evolved from simple automation to autonomous entities. Explore the ethical dilemmas like reward hacking that come with advanced AI. Learn practical strategies for implementing reliable AI agents in business, while emphasizing the importance of collaboration in software development. Nathan shares insights that balance accessibility with in-depth research, aimed at both seasoned experts and newcomers. Get ready for inspiring 'Eureka moments' in the rapidly changing AI landscape!

Logan Kilpatrick, a key player at Google DeepMind and former OpenAI team member, shares his insights on Google's dramatic transformation into an AI giant, boasting a 50-fold increase in usage. He discusses the power of Google's infrastructure, the impact of models like Gemini 2.5 Pro, and how this evolution contrasts startups' unique opportunities. The conversation dives into the future of AI, addressing whether leading firms will unify or diversify in their approaches. Logan also offers personal tips for engaging with the AI community and joining early access programs.