Latent Space: The AI Engineer Podcast

Latent.Space

The main Latent Space podcast: AI engineering, Forward Deployed Engineering, AI for science, and ⚡ Lightning episodes. Other feeds: Engineering and FDE: https://podcast.latent.space/eng.xml; Science: https://podcast.latent.space/science.xml; Misc (Lightning and other shows): https://podcast.latent.space/misc.xml; Firehose (all available shows): https://podcast.latent.space/firehose.xml. Feed directory: https://latent.space/pods

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294 episodes
Avg 1 hr 6 min
English

Episodes 294

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Yesterday · 1 hr 42 min
Deep Dive: Anthropic S-1 Myths and Mythos — Jamin Ball, Altimeter
Watch the full show on YouTube: https://www.youtube.com/watch?v=P735f1xlpL0 Full show notes and links
Friday · 50 min
Controlling Biology - Fabian Theis, Helmholtz Munich
Fabian Theis has been one of the key players in the various iterations of the Virtual Cell concept and initiatives. It is not hyperbole at all to say that his lab has been pushing the frontier of algorithms to understand multi-scale, multi-modal (”mult... Full show notes and links
- Transcript
Wednesday · 1 hr 12 min
⚡ Behind Latent Space: A Rare Look Inside the Pod | AIEi Shanghai
Watch the full show on YouTube: https://www.youtube.com/watch?v=QmDLDy3ZSNE Full show notes and links
Tuesday · 34 min
⚡️ The 2026 Software Factory Standard — Zach Lloyd, Warp.dev
Watch the full show on YouTube: https://www.youtube.com/watch?v=LL0YmIyBKSU Full show notes and links
Monday · 1 hr 7 min
Building Legal Agents When You Can't See the Data - Jacob Lauritzen, CTO of Legora
Legora can’t read a single trace of what its agent does for a lawyer. The data belongs to the law firm’s clients. How do you build and test an agent when you can’t see its work? Jacob Lauritzen is the CTO of Legora, one of the fastest-growing companies... Full show notes and links
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October 31 · 26 min
Using Agents for Long-Horizon Financial Work — Aman Singh, Arca
Arca head of AI Aman Singh joins Latent Space head of editorial Richard MacManus at AI Engineer New York, to discuss how Arca is building an AI-native wealth management firm. Singh explains Arca's architecture, which includes a custom harness and persi... Full show notes and links
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October 31 · 27 min
⚡ Building ChatGPT for Finance — Joseph Kim, OpenAI's Head of Financial Services
Watch the full show on YouTube: https://www.youtube.com/watch?v=v-d1WTqIULs Full show notes and links
October 28 · 1 hr 16 min
Why Agents Love Supabase
AI agents are creating more software—and that changes what a backend needs to do. Supabase co-founders Paul Copplestone and Ant Wilson join swyx to discuss running long-lived workloads alongside the database, making schemas easier for agents to underst... Full show notes and links
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October 27 · 1 hr 46 min
How Anthropic ships the #1 LLM in the World safely: Separating the Brain from the Hands
Katelyn Lesse and Angela Jiang join Latent Space to explain the engineering behind the Claude Platform: launching Opus 5.5, separating the model’s “brain” from the agent’s “hands,” scaling APIs, and building reliable managed agents. A new introduction ... Full show notes and links
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October 26 · 16 min
⚡ An Eval for AI Scientists That Knows the Answer Key - Ian Quigley, Leash Bio
Watch the full show on YouTube: https://www.youtube.com/watch?v=vhPCo-8K78U Full show notes and links
October 22 · 1 hr 25 min
Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO
Warm welcome to Basil Chatha, our newest cohost from the Forward Deployed side of the AI Engineering world! We’ll be ramping up a new show with him and couldn’t pass up an interview with Modal’s CEO Eric on the occasion of their monster Series D! Two y... Full show notes and links
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October 22 · 26 min
The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi
Anekha Sokhal, CEO of Moshi, joins swyx to discuss building a recommendation engine for commodity traders, turning market data into useful signals, and designing AI that fits users’ workflows. Watch: YouTube · Moshi · Anekha 0:00 AI Engineer New York a... Full show notes and links
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October 21 · 43 min
AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess
Alex Lieberman and CJ Hess join swyx at AI Engineer New York to discuss Tenex’s approach to AI-native engineering, paying for outcomes, MetaHarness, enterprise AI adoption and rebuilding SaaS. Show notes: Tenex: https://www.tenex.co/ Building an AI-nat... Full show notes and links
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October 20 · 36 min
The Programmable Data Center — Evan Conrad, SF Compute
This was recorded on the sidelines of the new Compute Trading track at AIE NYC. Catch us next at AIE CODE, our last flagship for the top agentic engineers in the world. In the early days of cloud, former guest Martin Casado made something so disruptive... Full show notes and links
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October 14 · 1 hr 49 min
🔬 Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio
A few years ago I stumbled upon Leash Bio’s Substack, and was hooked. Be it their Kaggle competition that showed that no, we really haven’t solved protein-ligand binding, or their crazy discovery that knowing a molecule’s author is perhaps all you need... Full show notes and links
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October 13 · 1 hr 11 min
Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy — Jason Ma, Dyna Robotics
Watch along AIE NYC and join us at AIE CODE in SF next month! This episode includes a live demo of the Taku robot that is best enjoyed on YouTube. Last month, Dyna made waves by announcing Dyna-2, a world-action model pre-trained on one million hours o... Full show notes and links
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October 10 · 31 min
🔬 Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub
From the Bitter Lesson of AI scaling to the unsolved mysteries of protein folding, Google DeepMind’s Pushmeet Kohli and Biohub’s Sal Candido are rethinking what it takes to build AI that truly understands biology. In this special panel moderated by Bra... Full show notes and links
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October 8 · 1 hr 23 min
🔬 Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk
It’s hard to believe that Periodic was only launched last September: One year later, it is considered one of the pre-eminent AI scientist labs, with dizzying talent density and astonishing progress in the autonomous lab buildout: Most people are famili... Full show notes and links
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October 2 · 57 min
⚡️ Which GPU Clouds Are Actually Good? | ClusterMAX 3.0
Watch the full show on YouTube: https://www.youtube.com/watch?v=MWX36ZYnsm0 Full show notes and links
October 2 · 1 hr 41 min
Academia is for Ambition — Alex Zhang, MIT
Last call for regular tickets for AI Engineer NYC! As an exclusive for Latent Space subscribers, the first 30 of you can take a 30% off code if it helps - for new tickets only, no refunds! See you in 2 weeks! While we tend to cover industry on the pod,... Full show notes and links
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