

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


🔬 Training Transformers to solve 95% failure rate of Cancer Trials — Ron Alfa & Daniel Bear, Noetik
Cancer drug development frequently fails because clinical trials lack precise patient selection, relying on outdated cell line models that fail to translate to human biology. Noetik addresses this by building foundation models trained on proprietary, high-quality multimodal data, including H&E staining, spatial transcr...

Notion’s Token Town: 5 Rebuilds, 100+ Tools, MCP vs CLIs and the Software Factory Future — Simon Last & Sarah Sachs of Notion

Extreme Harness Engineering for Token Billionaires: 1M LOC, 1B toks/day, 0% human code, 0% human review — Ryan Lopopolo, OpenAI Frontier & Symphony
The conversation centers on the emerging discipline of "Harness Engineering," where developers use AI agents to automate the entire software development lifecycle (SDLC). Ryan Lopopolo, from OpenAI’s Frontier team, details his experience building a million-line-of-code Electron application with zero manual code, relyin...

Marc Andreessen introspects on The Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"
Marc Andreessen, of A16z, joins the Latent Space podcast to discuss the current state and future trajectory of AI. He argues that recent breakthroughs in LLMs, reasoning, agents, and self-improvement mark the culmination of 80 years of AI research, dismissing fears of an "AI winter." Andreessen draws parallels to the d...

Moonlake: Causal World Models should be Multimodal, Interactive, and Efficient — with Chris Manning and Fan-yun Sun

Mistral: Voxtral TTS, Forge, Leanstral, & what's next for Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample

🔬Why There Is No "AlphaFold for Materials" — AI for Materials Discovery with Heather Kulik

Dreamer: the Personal Agent OS — David Singleton

Why Anthropic Thinks AI Should Have Its Own Computer — Felix Rieseberg of Claude Cowork & Claude Code Desktop

Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Hørup Eskildsen of Turbopuffer

NVIDIA's AI Engineers: Agent Inference at Planetary Scale and "Speed of Light" — Nader Khalil (Brev), Kyle Kranen (Dynamo)
The Latent Space podcast features Nader Khalil and Kyle Kranen from NVIDIA, discussing developer experience, GPU technology, and the company's internal culture. They recount Brev's acquisition by NVIDIA, emphasizing the shared goal of simplifying developer access to GPUs, and touch on NVIDIA's developer experience init...

Cursor's Third Era: Cloud Agents

Every Agent Needs a Box — Aaron Levie, Box

METR’s Joel Becker on exponential Time Horizon Evals, Threat Models, and the Limits of AI Productivity

[LIVE] Anthropic Distillation & How Models Cheat (SWE-Bench Dead) | Nathan Lambert & Sebastian Raschka

🔬Searching the Space of All Possible Materials — Prof. Max Welling, CuspAI

Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis

⚡️The End of SWE-Bench Verified — Mia Glaese & Olivia Watkins, OpenAI Frontier Evals & Human Data

Bitter Lessons in Venture vs Growth: Anthropic vs OpenAI, Noam Shazeer, World Labs, Thinking Machines, Cursor, ASIC Economics — Martin Casado & Sarah Wang of a16z
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