Latent Space
Alessio Fanelli and Swyx
AI researchers and executives discuss cutting-edge projects, from transformer training to materials discovery.
Why we picked this
We picked Latent Space because it cuts through the marketing noise surrounding artificial intelligence. The hosts talk directly to the engineers building frontier models and agent frameworks. Instead of summarizing press releases, they examine architecture choices, evaluation bottlenecks, and the actual mechanics of shipping software. The conversations assume a technical audience that already understands the stack. If you want to know how the technology functions beneath the product launches, subscribe to the feed.
Recent episodes
🔬“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
Red-Teaming after Mythos — Zico Kolter & Matt Fredrikson, Gray Swan
Jun 22, 20261h 6m
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