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Latent Space: The AI Engineer Podcast

Latent Space: The AI Engineer Podcast

The AI Engineer newsletter + Top technical AI podcast. How leading labs build Agents, Models, Infra, & AI for Science. See https://latent.space/about for highlights from Greg Brockman, Andrej Karpathy, George Hotz, Simon Willison, Soumith Chintala et al!

Latent.Space

230 episodesEN

Show overview

Latent Space: The AI Engineer Podcast has been publishing since 2023, and across the 3 years since has built a catalogue of 230 episodes. That works out to roughly 280 hours of audio in total. Releases follow a weekly cadence.

Episodes typically run an hour to ninety minutes — most land between 54 min and 1h 21m — though episode length varies meaningfully from one episode to the next. None of the episodes are flagged explicit by the publisher. It is catalogued as a EN-language Technology show.

The show is actively publishing — the most recent episode landed yesterday, with 66 episodes already out so far this year. Published by Latent.Space.

Episodes
230
Running
2023–2026 · 3y
Median length
1h 7m
Cadence
Weekly

From the publisher

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 www.latent.space

Latest Episodes

View all 230 episodes

Why Dwarkesh is Wrong about Computer Use + How OpenAI shipped its Jev competitor in 1 Week

Sep 30, 202639 min

Claude Code’s Next Era — Thariq Shihipar, Anthropic

Sep 29, 20261h 32m

OpenRouter: from Seed to Stripe — with OpenRouter’s Alex Atallah & AMP’s Anjney Midha

Sep 25, 20261h 20m

Runway’s WorldPrompt and the Engineering of Real-Time Worlds

Sep 25, 20261h 36m

🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)

Sep 23, 20261h 31m

🔬 An Oscar, Two Asteroids, and the Algorithm in Your sklearn: John Platt on AI for Science

Sep 22, 20262h 1m

Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI

Sep 21, 20262h 20m

Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC

Sep 16, 20261h 26m

Humanity’s Last Invention — Richard Socher of Recursive

Sep 14, 20261h 32m

🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing

Aug 26, 20261h 23m

Simulation: the new Scaling Law — Joon Sung Park, Simile AI

Aug 21, 20261h 9m

🔬The BioAI Phase Shift - Matthew McPartlon & Neil Patil, Chai Discovery

Aug 11, 20261h 35m

The Inference Engineering Masterclass — Philip Kiely & Ali Taha, Baseten

Aug 3, 20261h 41m

Codex from 0 to 10M Users: Building ChatGPT Work — Akshay Nathan, OpenAI

Jul 28, 20261h 9m

Inside the Model Factory — Eiso Kant, Poolside AI

Jul 23, 20261h 54m

🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist)

Jul 21, 20261h 29m

🔬 The Lab of the Future Should Feel Like a Data Center — Andy Beam & Rafa Gómez-Bombarelli, Lila Sciences

Jul 16, 20261h 41m

Why AI Infrastructure must evolve for Agent Experience — Akshat Bubna, Modal CTO

Jul 8, 202657 min

🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI

Jul 1, 20261h 48m

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

Jun 24, 20261h 8m
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