An Eval for AI Scientists That Knows the Answer Key - Ian Quigley, Leash Bio
Ian Quigley of Leash Bio discusses Minos, a framework of pre-measured biological environments that lets AI agents explore chemical spaces with zero physical la…
Podcast
Latent Space podcast summaries.
Every full Latent Space episode we cover, summarized with verbatim, timestamped quotes: 56 episodes and 263 articles since May 2026. Hosted by swyx and Alessio Fanelli. Part of our AI coverage. New summaries every Sunday.
56 episodescovered
263 articleswith timestamped quotes
263 articleswith timestamped quotes
Frequent voices
The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi
Former commodities trader and Moshi founder Anekha Sokhal sits down with swyx at AI Engineer NYC to explore how AI-native systems are modernizing commodity tra…
AI in NYC: How Tenex Builds an AI-Native Engineering Team — Alex Lieberman & CJ Hess
Alex Lieberman and CJ Hess of Tenex join swyx at AI Engineer New York to explain how they run an AI-native engineering consultancy that pays software engineers…
Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal
Modal CEO Erik Bernhardsson discusses the structural dynamics of AI compute, contrasting the rigid multi-year capacity contracts sold across the industry with…
The Programmable Data Center — Evan Conrad, SF Compute
Evan Conrad, founder of SF Compute, joins swyx to explain why creating an open compute trading market requires building the operational stack of a cloud for ph…
Robots That Predict the Future: Dyna-2 & Physical AI — Jason Ma, Dyna Robotics
Dyna Robotics co-founder and Chief Scientist Jason Ma joins swyx on-site to discuss Dyna-2, a world-action model trained on over one million hours of video dat…
How to kill your SaaS: what we learned replacing a $43K/yr tool with AI agents
After being quoted $43,000 annually for speaker management software, the AI Engineer team launched the 'Kill My SaaS' competition challenging builders to recre…
High Taste Testers: The AI Tools We Keep Coming Back To
Six experienced AI practitioners and power users convene for the first 'High Taste Testers' roundtable to debate the gap between frontier model releases and pr…
From Wet Lab to RL Env: 10,000 Drug-Discovery Campaigns in a Weekend — Ian Quigley, Leash Bio
Ian Quigley, co-founder and CEO of Leash Bio, explains how his company combines DNA-encoded libraries (DELs) and high-throughput sequencing to generate billion…
The Bitter Lesson of Biology: Why Scaling AI Isn't Enough — Pushmeet K, DeepMind & Sal C, Biohub
In this panel discussion moderated by Brandon Anderson, Google DeepMind's Pushmeet Kohli and CZ Biohub's Sal Candido discuss whether the 'Bitter Lesson' of AI…
AI Scientists Are Here: Autonomous Labs & Synthesis Superintelligence — Periodic Labs
Liam Fedus and Ekin Dogus Cubuk of Periodic Labs join swyx and Brandon to discuss how foundation models, automated physical laboratories, and reinforcement lea…
The Future of Claude Code: Mods, Mutable Software, & Multiplayer Agents — Thariq Shihipar, Anthropic
Anthropic's Thariq Shihipar joins swyx and Vibhu to discuss the evolution of Claude Code, the introduction of Claude Mods, and the architectural future of muta…
Which GPU Clouds Are Actually Good? | ClusterMAX 3.0
SemiAnalysis researchers Jordan and Dylan join swyx to break down the findings of ClusterMAX 3.0, evaluating the managed GPU cloud landscape. They analyze seve…
Recursive Language Models — Alex Zhang, MIT PhD
MIT researcher Alex Zhang discusses Recursive Language Models (RLMs), the mechanics of harness design, and why modern coding agents share common underlying arc…
OpenAI’s New Agent Stack: Computer Use, Decisions API, UltraFast, Dots—Ari Weinstein & Nikunj Handa
Recorded immediately following OpenAI DevDay, Ari Weinstein and Nikunj Handa join the hosts to detail OpenAI's newest agent and API announcements. Weinstein ex…
🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)
Eric Nguyen, CEO and co-founder of Radical Numerics and creator of the Evo models, joins hosts Brandon and R.J. Honiki to discuss the evolution of genome langu…
🔬 Google's AI Scientist Started as an Attempt to Automate Kaggle — John Platt, Google Fellow
Google Fellow John Platt discusses Google's Empirical Research Assistance (ERA) framework, an agentic AI system combining LLMs with Monte Carlo tree search to…
The $10 Trillion Token Economy — Alex Atallah, OpenRouter & Anjney Midha, AMP
OpenRouter co-founder Alex Atallah and AMP founder and CEO Anjney Midha, a former a16z general partner, join swyx to discuss the explosive rise of multi-model…
Runway’s Bet Beyond Video: World Models, Robotics, and the Neural OS — Anastasis Germanidis
Runway co-founder Anastasis Germanidis discusses the evolution of generative video into general-purpose world models, robotics simulators, and real-time neural…
Inside the Team That Killed Mandatory Code Review — Quinn Slack, AMP
Quinn Slack, co-founder of AMP and former CEO of Sourcegraph, joins swyx to discuss how AI agents have completely altered software engineering workflows. They…
Trillion Token Context. No, Really — Anima Anandkumar & Benedikt Jenik, Accelerated Understanding
Accelerated Understanding co-founders Anima Anandkumar and Benedikt Jenik discuss building a foundational, multi-physics model that learns physical dynamics ac…
The Inference Frontier: from 100 to 10,000 tokens per second — Sean Lie, Cerebras CTO
Cerebras co-founder and CTO Sean Lie joins swyx following Hot Chips to discuss the launch of the CS-4 wafer-scale system, preview the roadmap to 10,000 tokens…
🔬 Why Transformers Hit a Wall the Moment Physics Shows Up — Anima Anandkumar, Caltech
Caltech professor and former NVIDIA AI research leader Anima Anandkumar discusses why traditional deep learning and transformers fail when applied to complex p…
⏭️ Forward Deployed: Voice AI on what works in 2026
In this Forward Deployed Engineering panel hosted by Basil Chatha, engineering leaders from Daily, Decagon, Vapi, Retell AI, and Smallest AI discuss the realit…
Simulating Humanity: from Generative Agents to 8 Billion Digital Twins — Joon Sung Park, Simile AI
Joon Sung Park, co-founder and CEO of Simile AI and lead author of the landmark Generative Agents ('Smallville') paper, details his journey from artist to Stan…
Exo: Harnesses should see their own code and logs — Alex Krentsel, UC Berekeley / Google Research
This episode features Alex Krentsel discussing Exo, a novel AI agent designed for fully recursive self-improvement. He explains how Exo's unique three-layer ha…
🔬Biology Is Turning Into Software — Matt McPartlon and Neil Patil, Chai Discovery
This episode features Matt McPartlon and Neil Patil from Chai Discovery, a protein design startup, discussing their AI models (Chai 1, 2, and 3) for protein an…
Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
This episode of Latent Space features Philip Kiely and Ali Taha from Baseten, discussing advanced inference engineering for AI models. They delve into strategi…
OpenAI’s Vision for the AI Super App — Akshay Nathan, OpenAI
Akshay Nathan from OpenAI discusses the launch of ChatGPT Work, positioning it as an AI super app that merges ChatGPT and Codex capabilities to democratize the…
The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
Eiso Kant, CEO of Poolside AI, discusses his company's mission to foster an open and competitive AI landscape, moving away from an oligopoly of intelligence. H…
🔬Causal Models Need Causal Data - Xaira’s X-Cell model (Bo Wang & Ci Chu)
This episode delves into Zera Therapeutics' AI drug discovery platform, focusing on their X-Cell model. Guests Bo Wang and Ci Chu explain how X-Cell leverages…
The AI Memory Problem: Why Long Context Isn’t Enough — Dan Biderman, Engram Co-founder & CEO
During a cooking session, Engram co-founder and CEO Dan Biderman discusses his entrepreneurial journey from Israeli Naval Special Operations to leading an AI s…
🔬 RL with Verifiable Rewards, but the Verifier is a Lab — Lila Sciences
This episode explores Lila Sciences' ambitious thesis of creating AI Science Factories, transforming labs into data centers that generate internet-scale, exper…
The 100,000 Sandbox Problem — Akshat Bubna, Modal CTO
Akshat Bubna, CTO of Modal, discusses the company's evolution from a developer experience platform to one optimized for agent experience and specialized AI wor…
Podcast Crossover: AIE, AGI, frontier lab strategy with @matthew_berman and @swyxtv
In this crossover episode, Swyx, the founder of the AI Engineering Conference (AIE), discusses the origins and challenges of building the event. He delves into…
Why AI Agents Don't Actually Understand You — Danielle Perszyk, Amazon AGI Lab
Danielle Perszyk from Amazon AGI Lab discusses her vision for AI, emphasizing human collective intelligence and building agents that genuinely understand user…
🔬 "The Most Innovative Diffusion Research Is Happening in Drug Discovery, Not Image Generation"
This episode explores how Genesis Molecular AI is leveraging advanced AI, particularly diffusion models, to revolutionize drug discovery by achieving unprecede…
Cooking with OpenAI’s Research Chief: AGI, o1, Evals, and Scaling Laws — Mark Chen
OpenAI's Chief Research Officer, Mark Chen, joins Alessio Fanelli for a cooking session while discussing OpenAI's core research strategies. Topics include the…
The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
This episode features Databricks co-founders Matei Zaharia and Reynold Xin discussing their latest innovations, including the Omnigents platform for agent deve…
AI Security After Codex and Claude Code — Zico Kolter & Matt Fredrikson, Gray Swan
This episode explores the evolving landscape of AI security with Gray Swan founders Zico Kolter and Matt Fredrikson. They discuss how AI systems introduce new…
🔬 The Limits of AI in Science - Why We Need Self-Driving Labs — Joseph Krause, Radical AI
Joseph Krause, CEO of Radical AI, discusses the inherent challenges of applying AI to material science compared to biology, emphasizing the necessity of experi…
⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai
Ronak Malde, co-founder of Trajectory.ai, discusses his journey from Windsurf to DeepMind and ultimately to building Trajectory.ai. The conversation centers on…
Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP
In this episode, Anjney Midha, CEO of Amp, discusses why many AI labs struggle despite abundant resources, attributing failures to a lack of culture and organi…
Scaling Past Informal AI - Carina Hong, Axiom Math
This episode features Carina Hong, CEO of Axiom Math, discussing her company's vision for formal verification as the foundation for superintelligence and AGI,…
⚡️Making DeepSeek v4 outperform Opus 4.7 with Taste — @AhmadAwais , CommandCode.ai
Ahmad Awais discusses Command Code's "Taste" system for personalizing AI coding agents through automatically learned developer preferences. He reveals a novel…
When AI Agents Run Businesses — Lukas Petersson and Axel Backlund of Andon Labs
Lukas Petersson and Axel Backlund of Andon Labs discuss their work evaluating AI agents, from simulated vending machine businesses to real-world robot deployme…
GitHub’s Agent Era: 14x Commits, 200M Developers, Copilot’s Next Act — Kyle Daigle
This episode features Kyle Daigle, CEO of GitHub and CMO of Developer for Microsoft, discussing the transformative impact of AI on software development and Git…
Satya Nadella on AI: @NoPriorsPodcast x Latent Space Crossover Special at Microsoft Build 2026
In this crossover episode, Satya Nadella, CEO of Microsoft, discusses the company's AI strategy, emphasizing an ecosystem approach for custom intelligence rath…
🔬 The Bitter Lesson is Coming for Proteins - Alex Rives, BioHub
This episode features Alex Rives from Biohub discussing the application of the 'bitter lesson' (scaling laws and empirical evidence) to protein biology through…
Devin’s 80% Moment: Background Agents, 7x PRs, & End of Hand-Held Coding — Walden Yan & Cole Murray
This episode delves into the rapid evolution of AI coding agents, highlighted by Devin's increasing autonomy and efficiency. Guests Walden Yan and Cole Murray…
⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
Omar Sanseviero from Google DeepMind discusses the release and capabilities of Gemma 4, including its novel E2B architecture for on-device inference, its multi…
Inside Abridge: The AI Listening to 100 Million Doctor Visits — Abridge's Janie Lee & Chai Asawa
This episode features a conversation with Janie Lee and Chai Asawa from Abridge, an AI company revolutionizing healthcare documentation and clinical intelligen…
🔬How GPT‑5 derived new results in theoretical physics and quantum gravity — Alex Lupsasca, OpenAI
Alex Lupsasca from OpenAI discusses how GPT models have achieved superhuman capabilities in theoretical physics, detailing two groundbreaking papers on gluon a…
⚡️ Matt Pocock - Why Engineering Fundamentals matter MORE now
This episode features Matt Pocock discussing the enduring relevance of engineering fundamentals in the AI era, challenging the notion that AI negates the need…
The $15B Physical AI Company: Simulation, Autonomy OS, Neural Sim, & 1K Engineers—Applied Intuition
This episode features Peter Ludwig and Qasar Younis, co-founders of Applied Intuition, a $15B company building "physical AI" for autonomous machines across var…
⚡️ Competing with ChatGPT and Sierra, building a $10M ARR company — Yasser Elsaid, Founder, Chatbase
Yasser Elsaid, founder of Chatbase, discusses his journey from a bootstrapped side project to a $10M ARR AI customer service company. He shares insights into C…