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

Latent Space: The AI Engineer Podcast

Latent.Space 203 Episodes Jul 23, 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

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
Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks
Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks Jun 24, 2026 4132 We’re excited to have Databricks join us at AIEWF, among hundreds of the top companies in the AI Engineer ecosystem. LS subscribers can use their discount to get past the late bird pricing and access over $50k in sponsor offers! Everyone is still talking about Satya’s Frontier Ecosystems post, but few have actually built a (now $175 billion) frontier ecosystem and cloud like our guests today.From
Red-Teaming after Mythos — Zico Kolter & Matt Fredrikson, Gray Swan
Red-Teaming after Mythos — Zico Kolter & Matt Fredrikson, Gray Swan Jun 22, 2026 3983 AI Engineer World’s Fair regular bird tix will sell out ~today! Join us next week ahead of the Late Bird price hike and get >$40,000 in sponsor credits for attending!Thanks to the US Government issuing an export control directive on Mythos and Fable, the risks of jailbreaks and (industry term) indirect prompt injection are suddenly the talk of the town, though we have been covering AI security for
The Professor of Outputmaxxing — Anjney Midha, AMP
The Professor of Outputmaxxing — Anjney Midha, AMP Jun 18, 2026 3565 Last 4 days before regular tickets sell out at AI Engineer World’s Fair - this is the single biggest gathering of AI Engineers, Founders, Leaders, and Researchers in the world. Attendees get >$5000 worth of sponsor credits and talk tracks are looking FANTASTIC. Join us!The AI scaling debate always focuses on the question of “how do we get more GPUs?” but the better question may be: how do we make
🔬 The Self-Driving Lab — Joseph Krause, Radical AI
🔬 The Self-Driving Lab — Joseph Krause, Radical AI Jun 17, 2026 4610 On the Science pod, we’ve been covering a lot of the ground on how AI is revolutionizing STEM, but one of our favorite off the record topics since our launch is which field is harder to accelerate: math, bio, or physics? Today we’re back in Materials Science land with Radical — Unlike biological molecules that can be represented (and predicted!) by token strings, the success of materials involve m
Reality: The Final Eval — Lukas Petersson and Axel Backlund of Andon Labs
Reality: The Final Eval — Lukas Petersson and Axel Backlund of Andon Labs Jun 4, 2026 4539 The new AIEWF website is live! Get your tickets booked ASAP as they -will- sell out. Take the AI Engineering Survey and get >$2k in credits and free AIE WF tickets!Most industry benchmarks compress intelligence and reasoning ability into scores.SWE-Bench Pro, MMLU, Humanity’s Last Exam, etc. These metrics are useful, but don’t always represent the full extent of how a model performs in the real wo
🔬Scaling Past Informal AI - Carina Hong, Axiom Math
🔬Scaling Past Informal AI - Carina Hong, Axiom Math Jun 3, 2026 5584 In 2025, seven-month-old startup Axiom solved all 12 of the problems Putnam exam (scoring 8/12 in the time limit) a prestigious undergraduate math exam. The 12/12 score is better than the top undergraduates (110/120) and the closest AI system that reported a result (DeepSeek 103/120), although it is unclear what the people and other systems would have scored with more time. Nonetheless, the Putnam
⚡️Satya Nadella: No Priors x Latent Space Crossover Special at Microsoft Build
⚡️Satya Nadella: No Priors x Latent Space Crossover Special at Microsoft Build Jun 3, 2026 2338 We’ve informally heard that Satya is a listener to LS for a couple years now, but it was still absolutely surreal to meet him and do a live pod at Build, together with our friends at No Priors, the leading VC AI Podcast that we also greatly admire!We covered the MAI model technical takeaways on yesterday’s AINews, so I will focus our recap of Satya’s main messages around three elements:* Satya’s a

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