Latent Space: The AI Engineer Podcast

Latest episodes

Showing 20 · updated from the feed

Designing for Agents — Zeno Rocha, Resend

#30 trending · Technology

swyx had already connected Cloudflare email. Then a coding agent opened a pull request that quietly chose Resend for him. Zeno Rocha, Resend’s founder and CEO, explains w

Nov 10
1 h 25 min

What Frontier Labs Buy: A Data Deep Dive with Handshake AI — Garrett Lord & Team

#46 trending · Technology

Our first deep dive with an AI data company. In roughly a year, Handshake built an AI training business doing nearly $1 billion in gross annualized revenue. What are fron

Nov 9
2 h 43 min

[One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco

What do you assign when a coding agent can finish last year’s homework in one prompt? In the second run of Stanford’s CS146S, Mihail Eric brought open-source maintainers

Nov 8
2 h 00 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

Nov 7
1 h 42 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 bee

Nov 6
50 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

Nov 4
1 h 12 min

⚡️ The 2026 Software Factory Standard — Zach Lloyd, Warp.dev

Watch the full show on YouTube: https://www.youtube.com/watch?v=LL0YmIyBKSU

Nov 3
34 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 it

Nov 2
1 h 07 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 f

Oct 31
26 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

Oct 31
27 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-l

Oct 28
1 h 16 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’

Oct 27
1 h 46 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

Oct 26
16 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 a

Oct 22
1 h 25 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

Oct 22
26 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 adoptio

Oct 21
43 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. I

Oct 20
36 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,

Oct 14
1 h 49 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 w

Oct 13
1 h 11 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

Oct 10
31 min

Chart trend

Position in the Technology chart (US), last 90 days.

#1#30#59AugSepOctNov

#13

all-time peak

510

days in the top 50 since Nov 2024

Chart positions

Where Latent Space: The AI Engineer Podcast ranks today in each Apple Podcasts chart (US, Nov 11, 2026).

#22 ▼ 2 Technology US

What listeners say

A curated, balanced selection of Apple Podcasts reviews.

I love this podcast as I I pretty much walk away from every show with something I can apply in my work!

Willm50 · Sep 2025

Its so far been the best way to keep up with everything happening in the AI space from a builder/applied engineering standpoint point. Cuts through the slop and usual clickbaity stuff, the guests are mostly folks building relevant things today. 10/10 recommend

seanjames_writes · Jul 2025

If you're an AI engineer or want to become one, this is the best resource for it, everyone being interviewed is actually building interesting stuff and sharing learnings

Eriklesher · Sep 2024

If you want to hear from the people who are actually pushing the boundaries of AI, Latent Space is the podcast you need. The hosts do a killer job of getting deep into the stuff that matters without dumbing it down. The guests are engineers, researchers, and founders who are building the future of AI right now—people who are making real waves in the space. What I love most is how they dive into cutting-edge projects and tech breakthroughs in a way that feels like you’re in on an insider conversation. This is the place to listen if you’re serious about AI and want to learn from the best in the field. If you’re looking to skip the hype and go straight to the source of what’s really happening in AI, this is your spot!

MattSpitts · Sep 2024

The discussions on this podcast are potentially insightful, but after four episodes, I'm frustrated. The hosts and guests often launch into deep conversations using industry acronyms and company-specific news without providing any necessary context for the average listener. This lack of consideration makes the show difficult to follow and defeats the purpose of learning. They need to prioritize context for the audience.

chief_rocka · Nov 2025

We strive to present a balanced view by showing a diverse range of reviews from Apple Podcasts.