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Podcast profile

Latent Space

By Latent.Space

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

Latest episode

The Inference Engineering Masterclass — Philip Kiely & Ali Taha, Baseten

1 hr 41 min

Cadence
Irregular
Typical length
1 hr 16 min
Latest release
Aug 3, 2026
Language
EN

Classification review pending

Topic, format, and audience-level labels are published only after a manual source review. This show remains fully discoverable by its researched technology sectors.

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Latest episodes

25 available
Latent Space1 hr 55 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 siz

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Latent Space1 hr 30 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

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Latent Space59 min

The Professor of Outputmaxxing — Anjney Midha, AMP

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 quest

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Latent Space1 hr 17 min

🔬 The Self-Driving Lab — Joseph Krause, Radical AI

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 r

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Latent Space1 hr 33 min

🔬Scaling Past Informal AI - Carina Hong, Axiom Math

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 pe

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Latent Space1 hr 23 min

GitHub's plan for Agents — Kyle Daigle, GitHub

I’m excited to work with Microsoft once again as the presenting sponsors of the AI Engineer World’s Fair! We’ll streaming live from MS Build today for a special crossover pod with our friends at No Priors and the one and only Satya Nadella. However we did not hold back with this interview - we asked all the burning que

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Latent Space1 hr 10 min

Giving Agents Computers — Ivan Burazin, Daytona

Take the 2026 AI Engineering Survey and get >$2k in credits and AIE WF tickets! On the product side, everyone is getting Computer - Perplexity, Manus, Cursor, and so on. Meanwhile on the research side, agentic evals like TerminalBench and GDPVal are also assuming computer (Harbor). On both ends, the consolidating LLM O

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Latent Space1 hr 29 min

Railway: The Agent-Native Cloud — Jake Cooper

Take the 2026 AI Engineering Survey and get >$2k in credits and AIE WF tickets! This was recorded before Railway suffered a major GCP outage on May 19, despite being a multi-AZ, multi-zone mesh ring, with HA fiber interconnects between their Metal > GCP > AWS, because workload discoverability was unintentionally still

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Latent Space1 hr 32 min

🔬Doing Vibe Physics — Alex Lupsasca, OpenAI

Some people are going crazy over GPT 5.5. Some people. This is the story of the Jagged Frontier. People who use AI to write emails or even code implementation work find the lift moderate whereas people pushing the limits of the model are figuring out that the limits just moved outwards. Alex Lupsaska has been tracking

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