Latent Space: The AI Engineer Podcast
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
Filtered episodes(9)
- StandardSummaries onlyWhy AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO
Published Oct 22, 2026
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 years ago, we spoke with Erik Bernhardsson about his vision for truly serverless AI infrastructure: developers should be able to run code without provisioning clusters, predicting load, or paying for idle resources. CTO Akshat then joined us to talk
- StandardSummaries onlyAI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess
Published Oct 21, 2026
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-native SDLC: https://www.tenex.co/blog/building-an-ai-native-sdlc Earlier Tenex episode: https://www.latent.space/p/10x-ai-engineers-with-1m-salaries Kill My SaaS: https://www.youtube.com/watch?v=zlD-CkLVKtU Full video: https://www.youtube.com/watch?v
- StandardSummaries only🔬 Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio
Published Oct 14, 2026
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 to know to predict how good it is. Their substack — or at least Owl Posting’s deep dive on them — should be required reading for any scientist trying to do chemistry with AI. So I was super excited to finally be able to sit down with Ian Quigley f
- StandardSummaries only🔬 Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk
Published Oct 8, 2026
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 familiar with the standard credentials of Liam and Dogus, but we found an incredible “talent slope” while learning more about Periodic, where each successive employee seems more impressive than the last: From building AI systems that reason over noisy ph
- StandardSummaries only⚡️ A Worm With 302 Neurons Inspired Their Architecture — Ramin Hasani, Liquid AI
Published Sep 18, 2026
Watch the full show on YouTube: https://www.youtube.com/watch?v=V_9TCu_21SEFull show notes and links
- StandardSummaries onlyHumanity’s Last Invention — Richard Socher of Recursive
Published Sep 14, 2026
At 1:09:00 we talk about the rise of AI x Finance, and AIE NYC is one month away - our hotel block is 97% sold out, get tix & travel ASAP - we will announce speakers from Bridgewater, Ramp, Coatue, Mastercard, Vanguard, Coinbase, Blackrock, Fidelity, Point72, Capital One, JPMC, Wells Fargo, Bloomberg, A24 (yes the movie studio) Labs, Two Sigma, Apollo Global, and more soon! From helping pioneer core ideas in NLP to now building AI systems that can automate AI research itself, Richard Socher is b
- StandardSummaries only🔬 “We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing
Published Aug 26, 2026
A few years ago, Caltech Prof. and co-founder of Accelerated Understanding, Anima Anandkumar set out to develop the first open-source weather model with AI. Talking to experts in the field, she was met with skepticism. Weather is chaotic, physics simulations are hard, have been developed for decades, and require supercomputers, the data just isn’t there. Despite reservations, Anima went forth and built. Within a year her team had developed FourCastNet, a predictive model that is competitive with
- StandardSummaries only⏭️ Forward Deployed: Voice AI on what works in 2026
Published Aug 25, 2026
Watch the full show on YouTube: https://www.youtube.com/watch?v=MwNvowwcZOoFull show notes and links
- StandardSummaries onlySimulation: the new Scaling Law — Joon Sung Park, Simile AI
Published Aug 21, 2026
When we first dicsussed the Summer of Simulative AI in 2024 we knew it would be a brief summer, but it has recently come back with a vengeance with SimGym in April and now Simile AI’s $2B Series B, backed by GreenOaks and Index Ventures with prominent backers like Fei-Fei Li and Andrej Karpathy, running tens of millions of simulations for Fortune 100 clients like CVS and 85–99% accuracy vs human focus groups. Time to catch up on why this Second Summer of simulation is working! From creating Smal