Oct 20, 2026

What Survives When AI Can Build Anything? (with Dr. Richard Socher)

Richard Socher, CEO of Recursive and author of The Eureka Machine, makes the case for automating the scientific method with recursively self-improving AI. He covers how AI keeps replacing hand-crafted expertise with scale, the four pillars of his approach, why hallucinations can aid discovery, why RSI still rules out an overnight takeoff, and how science may become an engineering discipline across physics, biology, and economics.

Oct 13, 2026

David Silver and Lasse Espeholt of Ineffable Intelligence: A Superlearner for the Age of Experience

David Silver, co-founder of Ineffable Intelligence, outlines his bold vision for building a "superlearner"—an AI that discovers science, mathematics, and language autonomously, free from human data or explicit guidance. Drawing parallels to AlphaGo Zero's success, Silver argues that human-language reasoning is a ceiling, not a foundation, for advanced AI. He details their approach using complex simulated "crucibles" and simple rewards, aiming to develop the "science of superintelligence" in simulation for safety and accelerated progress. With a powerful GPU cluster and a small, elite team, Silver forecasts strong evidence within a year and superintelligence within three.

Jul 29, 2026

Alexandr Wang: From Los Alamos to Superintelligence

Alexandr Wang discusses his journey from Scale AI to Meta's superintelligence lab, emphasizing the importance of conviction, systems thinking, and identifying exponential growth opportunities in AI. He highlights Meta's vision for 'personal superintelligence,' the strategic role of open-source and affordable models, and the immense potential of agentic looping for driving innovation and outcompeting incumbents. His core advice for young entrepreneurs is to develop an unshakeable internal compass for the future, embracing vision and ambition as the new scarce resources.

Dec 11, 2025

The arrival of AGI | Shane Legg (co-founder of DeepMind)

Shane Legg, Chief AGI Scientist at Google DeepMind, outlines his framework for AGI, predicting 'minimal AGI' within years and 'full AGI' within a decade. He details a path to more reliable systems and introduces 'System 2 Safety' for building ethical AI. Legg issues an urgent call for society to prepare for the massive economic and structural transformations that advanced AI will inevitably bring.

Dec 11, 2025

The arrival of AGI | Shane Legg (co-founder of DeepMind)

Shane Legg, Chief AGI Scientist at Google DeepMind, outlines his framework for AGI levels, predicts a 50% chance of minimal AGI by 2028, and discusses the profound societal and economic transformations that will follow.

Oct 29, 2025

Sam, Jakub, and Wojciech on the future of OpenAI with audience Q&A

Sam Altman and Yakob present OpenAI's updated strategy, detailing a concrete research roadmap towards an automated AI researcher by 2028, a vision for an open AI platform, and massive infrastructure plans totaling $1.4 trillion. They also introduce a new corporate structure with a non-profit foundation focused on using AI to cure diseases and build AI resilience.