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
Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO
Oct 22, 20261h 25m
You are the Team — Anekha Sokhal, Moshi
Oct 22, 202626 min
AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess
Oct 21, 202643 min
The Programmable Data Center — Evan Conrad, SF Compute
Oct 20, 202636 min
Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio
Oct 14, 20261h 49m
Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy — Jason Ma, Dyna Robotics
Oct 13, 20261h 11m
Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub
Oct 10, 202631 min
Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk
Oct 8, 20261h 24m
⚡️ Which GPU Clouds Are Actually Good? | ClusterMAX 3.0
Oct 2, 202657 min
Academia is for Ambition — Alex Zhang, MIT
Oct 2, 20261h 41m
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
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