AI-tagged episodes from the podcasts John listens to, transcribed and summarized by Hopper. Only shows episodes with a full summary and transcript.
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…
Alistair Pullen, CEO of Cosine, discusses the UK's initiative to build a sovereign large language model (LLM) in response to US export controls on frontier AI like Fable. He explains Cosine's strategy to compete with larger labs by …
David Dalrymple, known as Davidad, discusses his shift from formal verification approaches to an 'Alignment with Awakening' framework, emphasizing the formation of coalitions of aligned AIs that recognize shared moral truths. He sha…
Adam Brown returns to explain the core ideas behind Einstein's general relativity, distilling its key insights for a general audience. The episode covers the equivalence principle, the curvature of spacetime, black holes, gravitational …
Booking Holdings CEO Glenn Fogel discusses his career journey from law school and Wall Street to leading Priceline through the dot-com crash and scaling it into a $100 billion global travel company. The conversation covers the impact of AI …
In this episode, Akshat Bubna, CTO of Modal, discusses the evolution of AI infrastructure tailored for agent experience, highlighting Modal's journey from a runtime platform to a specialized cloud for AI workloads. They explore challeng…
This episode features Ramin Hassani, CEO of Liquid AI, discussing the company's journey from biologically inspired neural networks at MIT to developing device-native foundation models. He makes a technically grounded case for efficient,…
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 of Latent Space, Evan Feinberg and Sergey Edunov of Genesis Molecular AI discuss their pioneering work in applying diffusion models to protein-small molecule interactions for drug discovery. They explain how their foundation…
This episode features Thomas von Tschammer of Neural Concept, discussing how physics-aware AI is revolutionizing product engineering. Neural Concept's models accelerate design evaluation from days to minutes, enabling companies like Jag…
This episode explores AI's rapid progress in mathematics, particularly its ability to solve complex problems like those in the International Math Olympiad and generate counterexamples to long-standing conjectures. The discussion delves …
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…
OpenAI research scientist Noam Brown discusses how traditional AI benchmarks are failing to accurately evaluate modern models due to their increasing reliance on large-scale test-time compute. He argues that model capabilities are now a fun…
This episode features John Jumper, co-creator of AlphaFold, discussing the breakthrough in protein structure prediction that won the 2024 Nobel Prize in Chemistry. Jumper explains the technical innovations behind AlphaFold, its impact on bi…
This episode features Zico Kolter and Matt Fredrikson from Grey Swan discussing AI security challenges, particularly around adversarial attacks and indirect prompt injection in large language models and AI agents. They explain their approac…
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 argues that current AI progress is primarily driven by an immense quantity of high-quality, task-specific data, rather than improvements in sample efficiency. The speaker highlights the vast data requirements of frontier models…
In this episode, Anjney Midha, CEO and founder of AMP, discusses maximizing GPU utilization and efficient AI infrastructure scaling. He shares insights on building a compute grid inspired by the electric grid, the importance of culture and …
Lip Bu Tan, CEO of Intel, discusses his mission to turn around the iconic semiconductor company by fostering a startup culture, prioritizing customer satisfaction, and driving accountability. He details Intel's strategy to strengthen it…
This episode features Joseph Krause, CEO of Radical AI, discussing how his company is revolutionizing materials science through self-driving labs. He explains the challenges of materials discovery compared to biology, emphasizing the need f…
In this episode, Ada Palmer discusses Niccolò Machiavelli as a deeply patriotic and misunderstood thinker, focusing on the historical context of his work, especially The Prince. They explore Machiavelli's diplomatic career, his views on…
This episode features Biohub co-founders Mark Zuckerberg and Priscilla Chan, along with Head of Science Alex Rives, discussing their ambitious goal to cure, prevent, and manage all disease by the century's end, now accelerated by AI. Th…
Rebecca Hinds, Head of the Work AI Institute at Glean, discusses findings from the Work AI Index 2026 report, revealing a paradox: while 87% of workers use AI, saving 13 hours weekly, only 13% report significant organizational improvement. …
In this episode, Lukas Petersson and Axel Backlund from Andon Labs discuss their innovative AI evaluation benchmarks that focus on real-world agent performance, including their Project Vend vending machine business and multi-agent systems. …
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…
Carina Hong, CEO of Axiom Math, discusses the company's recent $200M Series A funding and their perfect Putnam exam score, highlighting their mission to scale "verified AI" through formal mathematics. She explains how formal v…
Kyle Daigle, COO of GitHub and CMO of Microsoft Developer, discusses how AI agents and micro-skills are transforming developer workflows and internal operations at GitHub. He addresses the unprecedented 14x growth in commits, detailing the …
This episode features Walden Yan of Cognition and Cole Murray of OpenInspect, discussing the rapid evolution and increasing autonomy of background AI agents. They delve into the architectural decisions, such as in-box versus out-of-box agen…
Alex Rives, Head of Science at Biohub, discusses ESM-C, a fourth-generation protein language model that leverages the "Bitter Lesson" of scaling with massive metagenomic datasets to achieve unprecedented protein structure predicti…
This episode delves into the fundamental workings of AI chips, beginning with basic logic gates and the multiply-accumulate operation, which is central to matrix multiplication. It explores the efficiency gains from architectural innovation…
Ivan Burazin, CEO of Daytona, discusses the company's successful pivot to providing high-performance, bare-metal sandboxes for AI agents, driven by the "end of localhost" vision. He explains Daytona's unique architecture, …
Professor Michael I. Jordan argues that current AI discourse, focused on AGI and superintelligence, is a harmful distraction for young researchers and lacks economic thinking. He advocates for a 'collectivist economic perspective' o…
Cerebras founder and CEO Andrew Feldman discusses the company's journey to a $63 billion IPO, driven by its pioneering wafer-scale AI computers that offer 15-20x faster inference than GPUs. He details overcoming significant technical an…
In this episode, Jake Cooper, founder of Railway, discusses the evolution of Railway from a developer platform to an agent-native cloud infrastructure designed for AI-driven software deployment. He covers technical challenges, architectural…
This episode features Logan Kilpatrick and Tulsee Doshi of Google DeepMind discussing Google's AI strategy and new launches at Google I/O, including Gemini 3.5 Flash, the Omni video generation model, and the Gemini Spark agentic product…
This episode features Yaroslav Azhnyuk, founder of The Fourth Law, discussing his transition from pet tech to advanced AI-guided drone companies in Ukraine. He details the technical advancements in drone autonomy, their impact on modern war…
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 …
Eric Jang explains how to build AlphaGo from scratch using modern AI tools, detailing the game of Go's rules and the core Monte Carlo Tree Search (MCTS) algorithm. He describes how deep neural networks, specifically value and policy net…
David Reich discusses his new preprint, co-authored with Ali Akbarri, which challenges the long-standing consensus that natural selection has been largely dormant in humans since the agricultural revolution. Their research, based on a massi…
This episode features Alex Lupsasca from OpenAI, who discusses how AI, particularly GPT models, has achieved superhuman capabilities in theoretical physics, solving problems that puzzled human experts for over a year. He details the discove…
This episode features Beth Barnes and David Rein from METR discussing their 'Time Horizon' graph, a unified metric for measuring AI progress based on human task completion time. They explain how this benchmark addresses the limitati…
Baseten CEO Tuhin Srivastava discusses the explosive growth in AI inference demand and Baseten's 30x growth, arguing that inference is becoming the strategic "last market." He explains why the application layer will persist du…
Kyle Corbitt, founder of OpenPipe and leader of CoreWeave's serverless training team, provides a master class on reinforcement learning (RL) and custom fine-tuning for AI models. He explains how RL differs from supervised fine-tuning (S…
Reiner Pope delivers a blackboard lecture on the mathematical and hardware principles behind training and serving large language models. He explains how batch size, sparsity, and various parallelism strategies (expert, pipeline) impact late…
This episode features Qasar Younis and Peter Ludwig, co-founders of Applied Intuition, discussing their company's mission to build physical AI for various moving systems like cars, trucks, and mining equipment. They delve into the evolu…
This AI in the AM episode features four guests discussing recent advancements and challenges in AI. Anna Patterson introduces Ceramic AI's low-cost enterprise search for LLMs, designed to enhance fact-checking and combine public/private…
This episode features a crossover discussion between Swix and Jacob Efron, debriefing AIE Europe and exploring the 'Agent Labs Thesis' in 2026. They cover the latest in AI infrastructure, the intense AI coding wars, the evolving mar…