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Latent Space: The AI Engineer Podcast

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Rating
★★★★★
4.5
from
106 reviews
This podcast has
284 episodes
Language
English
Publisher
Latent.Space
Explicit
No
Date created
2023/02/23
Latest episode
2026/10/22
Average duration
71 min.
Release period
3 days

Description

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

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Podcast episodes

Check latest episodes from Latent Space: The AI Engineer Podcast podcast


Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO
2026/10/22
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...
The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi
2026/10/22
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...
AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess
2026/10/21
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...
The Programmable Data Center — Evan Conrad, SF Compute
2026/10/20
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...
🔬 Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio
2026/10/14
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...
Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy — Jason Ma, Dyna Robotics
2026/10/13
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...
🔬 Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub
2026/10/10
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...
🔬 Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk
2026/10/08
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...
⚡️ Which GPU Clouds Are Actually Good? | ClusterMAX 3.0
2026/10/02
Watch the full show on YouTube: https://www.youtube.com/watch?v=MWX36ZYnsm0
Academia is for Ambition — Alex Zhang, MIT
2026/10/02
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,...
Why Dwarkesh is Wrong about Computer Use + How OpenAI shipped its Jev competitor in 1 Week
2026/09/30
Three months ago Dwarkesh, who has been posting incredible blogs and episodes about RL, posted a framing question for his video essay on RLVR which upset a lot of Computer Use folks: We are no strangers to learning in public and are no strangers to the...
Claude Code’s Next Era — Thariq Shihipar, Anthropic
2026/09/29
We are excited to have Anthropic share their latest AI x Finance work at AI Engineer New York ( https://ai.engineer/nyc/2026 ), coming up in 2 weeks! In case you’ve been under a rock, here’s a non-exhaustive list of what Anthropic has been shipping sin...
OpenRouter: from Seed to Stripe — with OpenRouter’s Alex Atallah & AMP’s Anjney Midha
2026/09/25
From the earliest days of open-weight models to becoming the neutral routing layer for more than 10 million developers, OpenRouter is one of the clearest bets that the future of AI will be multi-model. In this episode, OpenRouter co-founder & CEO Alex ...
Runway’s WorldPrompt and the Engineering of Real-Time Worlds
2026/09/25
Earlier this month, world model company Runway introduced GWM Worlds 2, a research preview that “turns high-fidelity video and audio generation into real-time interactive simulation.” Runway calls this an “autoregressive diffusion” model; with autoregr...
🔬 Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)
2026/09/23
The OpenAI → Hugging Face attack has people asking “what else do we need to worry about?” and Anthropic’s filters flag two things: cyber-security and biology. The natural question is: what about bio-security, then? Clem Delangue argues that cyber-warfa...

Podcast reviews

Read Latent Space: The AI Engineer Podcast podcast reviews


4.5 out of 5
106 reviews
★★★★★
BGDem 2026/07/25
Data center locations
Can data centers be placed far away from neighborhoods? Data center should be located where they won’t compete with communities for electricity and ...
★★☆☆☆
chief_rocka 2025/11/22
Insightful, but Hard to Follow Sans Context
The discussions on this podcast are potentially insightful, but after four episodes, I'm frustrated. The hosts and guests often launch into deep conve...
★★★★★
Willm50 2025/09/06
Immediate Impact
I love this podcast as I I pretty much walk away from every show with something I can apply in my work!
★☆☆☆☆
Thank T. 2025/08/31
The hosts feel like they want to be characters on HBO’s Silicon Valley
I initially subscribed to this podcast because there’s a lack of quality podcasts in the AI, ML, LLM, ML Ops, whatever you’d like to call it, space. U...
★★★★★
Jess Martin 2025/07/16
My main source for AI commentary
The pace and magnitude of change driven by AI engineering is massive. This is how I stay on top of things! Appreciate the in-depth analysis and the br...
★★★★★
seanjames_writes 2025/07/15
Best Applied Series
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 ...
★★★★☆
walterwhitenyc 2025/05/12
Very informative but please get rid of the robotic intro
See title
★☆☆☆☆
AI_Guy_00 2025/04/02
Huge egos
Man, these guys have clearly lost touch with reality. They had an entire podcast the other day where Dharmesh kept calling everyone not in tech “normi...
★★★★★
Watari202 2024/11/02
Thank you
Awesome intros 🎉
★★★★★
Eriklesher 2024/09/28
AI Engineer go-to
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 an...
check all reviews on apple podcasts

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