Home Podcasts Latent Space: The AI Engineer Podcast
Latent Space: The AI Engineer Podcast

Latent Space: The AI Engineer Podcast

Latent.Space 203 Episodes Sep 16, 2026

Latent Space is a podcast by and for AI engineers, covering foundation models, code generation, multimodality, AI agents, GPU infrastructure, and more. The show features interviews with founders, builders, and thinkers from companies like OpenAI, Anthropic, and Meta, providing insights into cutting-edge AI technology. It aims to give listeners both a definitive take on current trends and an introduction to emerging tools. The podcast has attracted over 10 million readers and listeners in 2025.

Episodes

Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC
Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC Sep 16, 2026 5174 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, Rune
Humanity’s Last Invention — Richard Socher of Recursive
Humanity’s Last Invention — Richard Socher of Recursive Sep 14, 2026 5530 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 cor
🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing
🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing Aug 26, 2026 5011 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
Simulation: the new Scaling Law — Joon Sung Park, Simile AI
Simulation: the new Scaling Law — Joon Sung Park, Simile AI Aug 21, 2026 4178 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 f
🔬The BioAI Phase Shift - Matthew McPartlon & Neil Patil, Chai Discovery
🔬The BioAI Phase Shift - Matthew McPartlon & Neil Patil, Chai Discovery Aug 11, 2026 5719 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: not
The Inference Engineering Masterclass — Philip Kiely & Ali Taha, Baseten
The Inference Engineering Masterclass — Philip Kiely & Ali Taha, Baseten Aug 3, 2026 6089 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 published
Codex from 0 to 10M Users: Building ChatGPT Work — Akshay Nathan, OpenAI
Codex from 0 to 10M Users: Building ChatGPT Work — Akshay Nathan, OpenAI Jul 28, 2026 4168 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 launch,
Inside the Model Factory — Eiso Kant, Poolside AI
Inside the Model Factory — Eiso Kant, Poolside AI Jul 23, 2026 6873 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 detail
🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist)
🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist) Jul 21, 2026 5387 Bet on informationIf 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 ch
🔬 The Lab of the Future Should Feel Like a Data Center — Andy Beam & Rafa Gómez-Bombarelli, Lila Sciences
🔬 The Lab of the Future Should Feel Like a Data Center — Andy Beam & Rafa Gómez-Bombarelli, Lila Sciences Jul 16, 2026 6064 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 floati
Why AI Infrastructure must evolve for Agent Experience — Akshat Bubna, Modal CTO
Why AI Infrastructure must evolve for Agent Experience — Akshat Bubna, Modal CTO Jul 8, 2026 3475 We’ve been running a bit of an Agent Cloud series surveying all the top inference/compute/cloud providers, from Databricks to Daytona to Railway and, even further back, E2B, but we’re excited to conclude this series returning to Modal, which has just raised a monster $355M Series C.The cloud was built for developers. But agents are now changing that.The old infra stack was designed for a human who
🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI
🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI Jul 1, 2026 6519 This episode has a fun personal twist: There’s a counterfactual world where I was employee #1 at Genesis Molecular AI, the company behind today’s episode. A certain introduction happened a few weeks too late and I had already happily signed at Atomwise, another ML-for-drug-discovery startup. Same problem, different company. I was certain ML was going to transform small molecule drug discovery. Ea

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