

Latent Space: The AI Engineer Podcast
The podcast by and for AI Engineers! In 2025, over 10 million readers and listeners came to Latent Space to hear about news, papers and interviews in Software 3.0. We cover Foundation Models changing every domain in Code Generation, Multimodality, AI Agents, GPU Infra and more, directly from the founders, builders, and thinkers involved in pushing the cutting edge. Striving to give you both the definitive take on the Current Thing down to the first introduction to the tech you'll be using in the next 3 months! We break news and exclusive interviews from OpenAI, Anthropic, Gemini, Meta (Soumith Chintala), Sierra (Bret Taylor), tiny (George Hotz), Databricks/MosaicML (Jon Frankle), Modular (Chris Lattner), Answer.ai (Jeremy Howard), et al. Full show notes always on https://latent.space Sponsorship and business inquiries: [email protected] www.latent.space
Episodes


Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks

Red-Teaming after Mythos — Zico Kolter & Matt Fredrikson, Gray Swan

The Professor of Outputmaxxing — Anjney Midha, AMP

🔬 The Self-Driving Lab — Joseph Krause, Radical AI

Reality: The Final Eval — Lukas Petersson and Axel Backlund of Andon Labs

🔬Scaling Past Informal AI - Carina Hong, Axiom Math
Verified AI serves as a mechanism for scaling and compounding human brilliance rather than merely a tool for error correction or compliance. By leveraging formal languages like Lean, AI systems achieve superhuman performance in mathematical reasoning and code generation, significantly improving sample efficiency compar...

⚡️Satya Nadella: No Priors x Latent Space Crossover Special at Microsoft Build
Microsoft’s AI strategy centers on building an ecosystem where companies, regardless of size, can operate at the frontier by leveraging AI models, data, and tools. Satya Nadella emphasizes the importance of "harnesses"—multi-modal frameworks that integrate models with specific enterprise context and tools—to drive real...

GitHub's plan for Agents — Kyle Daigle, GitHub

Why Video Agent models are next — Ethan He, xAI Grok Imagine

The Age of Async Agents — Cognition's Walden Yan & OpenInspect's Cole Murray

🔬ESM: The Bitter Lesson is Coming for Proteins - Alex Rives, BioHub

Giving Agents Computers — Ivan Burazin, Daytona

Railway: The Agent-Native Cloud — Jake Cooper

The Autonomous Drone Tech Stack & Economics of Drones — Yaroslav Azhnyuk, The Fourth Law & Guest Host Noah Smith, Noahpinion

AI-Native Healthcare: 100M Doctor Visits, 10–20 Hours Saved, Prior Auth in Minutes — Janie Lee & Chai Asawa, Abridge
Abridge functions as a clinical intelligence layer for health systems, automating documentation to reduce clinician burnout and improving patient outcomes through proactive, context-aware AI. The platform leverages ambient technology to capture patient-clinician conversations, transforming raw audio into structured dat...

🔬Doing Vibe Physics — Alex Lupsasca, OpenAI

Physical AI that Moves the World — Qasar Younis & Peter Ludwig, Applied Intuition
Applied Intuition provides a comprehensive technology platform for physical AI, enabling manufacturers across automotive, defense, and industrial sectors to deploy intelligent, safety-critical systems. By offering a suite of simulation, operating systems, and autonomy models, the company functions as a foundational tec...

AIE Europe Debrief + Agent Labs Thesis: Unsupervised Learning x Latent Space Crossover Special (2026)

Shopify’s AI Phase Transition: 2026 Usage Explosion, Unlimited Opus-4.6 Token Budget, Tangle, Tangent, SimGym — with Mikhail Parakhin, Shopify CTO
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