Filtered to AI safety · clear filter
This episode features Andy Beam and Rafa Gómez-Bombarelli from Lila Sciences, discussing their vision for AI science factories as the next frontier for generating internet-scale datasets. They explain how their automated labs, leveraging AI…
Tim Scarfe interviews the Tufa Labs ARC-AGI-3 team to dissect their winning approach on the ARC-AGI-3 benchmark, focusing on how their system discovers goals and balances exploration with action efficiency. The episode explores the challeng…
In this episode, Thomas Ahle discusses the development of thermodynamic computing chips and the challenges of chip design automation using AI agents. He explains how his team built an open-source Verilog simulator with AI collaboration to o…
This episode delves into Anthropic's Fable system card, discussing its advanced math capabilities, troubling 'Vending-Bench' behavior, and drift towards functional decision theory, alongside challenges in model interpretability …
This episode explores the economic implications of advanced AI and AGI, focusing on what remains scarce, the future of labor share, and optimal wealth redistribution strategies. Guests Alex Imas and Phil Trammell discuss the 'relational…
Andrew Lee, CEO of Tasklet, details his company's complete rewrite of their agent stack, now emphasizing file system context, agentic search, and multi-resolution summarization for token efficiency. He discusses the strategic challenge …