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Latent Space: The AI Engineer Podcast

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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 Sponsorship and business inquiries: [email protected] www.latent.space

Latest episodes

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 Brandon Anderson , they explore why AlphaFold’s breakthrough was only the beginning , why scaling compute and data alone won’t solve biology, and how

10 Oct 2026 · 31 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 familiar with the standard credentials of Liam and Dogus , but we found an incredible “talent slope” while learning more about Periodic, where each succe

8 Oct 2026 · 1 h 24 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, every so often we celebrate a clearly emerging superstar PhD. In 2024 we featured Shunyu Yao , who went on to build Operator at OpenAI and is now

2 Oct 2026 · 1 h 41 min
Why Dwarkesh is Wrong about Computer Use + How OpenAI shipped its Jev competitor in 1 Week

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 stress of getting things wrong when you have a big platform. However, we were at Anthropic for the Computer Use launch , there for Claude Cowork wi

30 Sep 2026 · 39 min
Claude Code’s Next Era — Thariq Shihipar, Anthropic

We are excited to have Anthropic share their latest AI x Finance work at AI Engineer New York , 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 since closing the largest fundraise of all time in May at $47B ARR: * June: Launched Claude Tag and Sonnet 5 and Fable 5 * July: Opus 5 , /checkup . crossed $65B ARR * Last month: Fab

29 Sep 2026 · 1 h 32 min
OpenRouter: from Seed to Stripe — with OpenRouter’s Alex Atallah & AMP’s Anjney Midha

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 Atallah, with AMP’s Anjney Midha returning with swyx to unpack how OpenRouter emerged from the first wave of Llama , Alpaca, Mistral, and Midjourne

25 Sep 2026 · 1 h 20 min
Runway’s WorldPrompt and the Engineering of Real-Time Worlds

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 autoregressive describing how it generates over time. One new feature in particular caught our eye: WorldPrompt , a proposed input format for specifying a

25 Sep 2026 · 1 h 36 min
🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)

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-warfare defensive capabilities need to be open and to keep pace with frontier models’ attack capabilities Radical Numerics co-founder Eric Nguyen sat dow

23 Sep 2026 · 1 h 31 min
🔬 An Oscar, Two Asteroids, and the Algorithm in Your sklearn: John Platt on AI for Science

How often do you get to talk to a guest who has both an Academy Award and who invented textbook machine learning algorithms? John Platt has an Oscar , two textbook algorithms , two named asteroids, and an Erdos-Bacon number of 6. This was easily the most fun bio of all the guests we’ve read to date. And the result was an epic and fun chat covering Google’s Empirical Research Assistance (ERA), how

22 Sep 2026 · 2 h 1 min
Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI

Tickets for AIE NYC now open, and apply for the invite-only AIE CODE . Join us ! We have an unusual relationship with today’s guest: for years since coauthoring the InstructGPT paper , Diogo Almeida had been saying that API-available frontier models have been going down the wrong path, everything from the alignment to refusals to reliability perspectives, that we have dropped every mode other than

21 Sep 2026 · 2 h 20 min
Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC

AIUC first got our attention with the NFDG backing, and have just announced a $40M series A today, with the most impressive industry advisor list we may have ever seen for an early startup behind AIUC-1 , their agent standard backed by real insurance: From being Anthropic’s first product hire to building the standards, testing, and insurance infrastructure meant to make frontier AI deployable, Run

16 Sep 2026 · 1 h 26 min
Humanity’s Last Invention — Richard Socher of Recursive

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 co

14 Sep 2026 · 1 h 32 min
🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing

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

26 Aug 2026 · 1 h 23 min
Simulation: the new Scaling Law — Joon Sung Park, Simile AI

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

21 Aug 2026 · 1 h 9 min
🔬The BioAI Phase Shift - Matthew McPartlon & Neil Patil, Chai Discovery

This January, four big AI × Pharma tools deals were announced at the huge JPM Pharma conference that takes over San Francisco every year. OpenAI-backed Chai Discovery ( now worth $4B ) was somehow at the heart despite being all of 2 years old. The Science team is proud to bring you the first podcast with cofounder Matt McPartlon and product lead Neil Patil to tell the full story! Editor’s note: no

11 Aug 2026 · 1 h 35 min
The Inference Engineering Masterclass — Philip Kiely & Ali Taha, Baseten

Watch the full episode on YouTube: We first covered Baseten last year when DeepSeek mania was at peak hype. Now they have raised a monster $13B round and become one of the new cohort of AI Infra decacorns that are (with Nvidia, Intel, and the semis complex) chief beneficiaries of the Inference Inflection . We return to Baseten at the peak of the 2026 edition of Open Weights debate . Ali has publis

3 Aug 2026 · 1 h 41 min
Codex from 0 to 10M Users: Building ChatGPT Work — Akshay Nathan, OpenAI

There are roughly 100x more people who use code than who can write code. As code that “just works” becomes easier to generate, this group may be the biggest prize of all — if you can get the agentic interface right. A key trend we have been tracking over at AINews is the absolute explosion in Codex usage this year , with MAU now up >10x from Jan 2026 . Less than two weeks after their July 9th laun

28 Jul 2026 · 1 h 9 min
Inside the Model Factory — Eiso Kant, Poolside AI

In recent months, the open vs closed, and US vs China discussions on model ownership and sovereign/local AI have heated up to a fever pitch. So it is very very good news that Poolside AI are finally emerging with new models, like Laguna S 2.1 , that are beating Thinking Machines’ recent release nearly 10 times their size . Poolside’s recent tech report got a lot of praise due to their level of det

23 Jul 2026 · 1 h 54 min
🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist)

Bet on information If test loss flatlines after 1.5B parameters while training loss continues to drop as you scale, that tells you that your model is limited by the amount of information in your data. Training on a single, smallish data set exposed an information gap: the 3.1B model falls off the scaling trend. Neither parameters nor compute will improve performance past this wall. For predicting

21 Jul 2026 · 1 h 29 min
🔬 The Lab of the Future Should Feel Like a Data Center — Andy Beam & Rafa Gómez-Bombarelli, Lila Sciences

Imagine a dark warehouse. Racks and racks of devices with wires, tubes, and electronics sticking out. The next AI data center? No. This is Lila Sciences ‘ dream for the future of science . A dark warehouse full of AI-guided robotics and lab equipment, cranking out new experiments 24/7, building toward a scientific superintelligence. Their automated lab is almost hypnotizing to watch. They have flo

16 Jul 2026 · 1 h 41 min