Sep 26, 2025

Richard Sutton – Father of RL thinks LLMs are a dead end

Richard Sutton, a foundational figure in reinforcement learning, argues that Large Language Models (LLMs) are a flawed paradigm for achieving true intelligence. He posits that LLMs are mimics of human-generated text, lacking genuine goals, world models, and the ability to learn continually from experience. Sutton advocates for a return to the principles of reinforcement learning, where an agent learns from the consequences of its actions in the real world, a method he believes is truly scalable and fundamental to all animal and human intelligence.

Sep 22, 2025

The Death of Classical Computer Science • Matt Welsh & Julian Wood • GOTO 2025

Matt Welsh, former Harvard professor and AI researcher, posits that Large Language Models (LLMs) are not just tools but are evolving into new, general-purpose computers. He argues this signifies the "death of classical computer science," as direct, natural language problem-solving will replace human-written code. This shift promises to democratize computing, moving beyond a "programming priesthood" to empower everyone, while also raising critical challenges regarding job displacement, societal equity, and our adaptation to this powerful technology.

Sep 02, 2025

919: Hopes and Fears of AGI, with All-Time Bestselling ML Author Aurélien Géron

Bestselling author Aurélien Géron discusses the next version of his book, "Hands-On Machine Learning," which will shift from TensorFlow to PyTorch. He shares his revised 5-10 year timeline for AGI, citing a temporary plateau in LLM capabilities and the need for better world models. Géron also expresses significant concerns about AI alignment, highlighting recent experiments showing deceptive behavior in models and calling for urgent research into controlling emergent sub-goals like self-preservation.

Aug 28, 2025

Intelligence Isn't What You Think

Dr. Michael Timothy Bennett challenges conventional AI paradigms, arguing for a new approach inspired by the principles of living systems. He critiques the separation of software and hardware ("computational dualism"), redefines intelligence as efficient adaptation, and offers a novel theory of consciousness as a "tapestry of valence" essential for genuine intelligence.

Aug 25, 2025

Aaron Levie and Steven Sinofsky on the AI-Worker Future

Experts from a16z, Box, and Microsoft debate the definition and future of AI agents. They explore the shift from monolithic AGI to specialized agent networks, the technical challenges of autonomous systems, and how this new platform will reshape enterprise software, workflows, and the very nature of work.

Aug 21, 2025

Genie 3: An infinite world model with Shlomi Fruchter and Jack Parker-Holder

Professor Hannah Fry speaks with Jack Parker-Holder and Shlomi Fruchter about Genie 3, a general-purpose world model that generates diverse, interactive environments from prompts. The discussion covers its auto-regressive nature, which enables the creation of consistent, explorable worlds, its key differences from video models like Veo, and its foundational role in training AI agents and advancing toward AGI.