Latent Space: The AI Engineer Podcast artwork

Technology · Latent.Space

Latent Space: The AI Engineer Podcast

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 Sponsorship and business inquiries: business@latent.space www.latent.space

Chart trend

Position in the Technology chart (US), last 90 days.

#13
all-time peak
452
days in the top 50 since Nov 2024

Latest episodes

Showing 20 · updated from the feed

🔬“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 ex

Aug 26
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 no

Aug 21
1 h 09 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 (no

Aug 11
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 t

Aug 3
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

Jul 28
1 h 09 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

Jul 23
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 amou

Jul 21
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 fu

Jul 16
1 h 41 min

Why AI Infrastructure must evolve for Agent Experience — Akshat Bubna, Modal CTO

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, E

Jul 8
57 min

🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI

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 intro

Jul 1
1 h 48 min

Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks

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

Jun 24
1 h 08 min

Red-Teaming after Mythos — Zico Kolter & Matt Fredrikson, Gray Swan

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! Th

Jun 22
1 h 06 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

Jun 18
59 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 fie

Jun 17
1 h 16 min

Reality: The Final Eval — Lukas Petersson and Axel Backlund of Andon Labs

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

Jun 4
1 h 15 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 i

Jun 3
1 h 33 min

⚡️Satya Nadella: No Priors x Latent Space Crossover Special at Microsoft Build

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 ou

Jun 3
38 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

Jun 2
1 h 23 min

Why Video Agent models are next — Ethan He, xAI Grok Imagine

We’re announcing AIEWF speakers this week! Take the AI Engineering Survey! Today’s guest Ethan first joined us for the LS Paper Club as the lead on NVIDIA Cosmos World M

Jun 1
1 h 43 min

The Age of Async Agents — Cognition's Walden Yan & OpenInspect's Cole Murray

The new AIEWF website is live! CFPs close in 2 days and we will run our first New Engineer Orientation this weekend, get your tickets booked ASAP as they -will- sell out.

May 28
1 h 08 min

Chart positions

Where Latent Space: The AI Engineer Podcast ranks today in each Apple Podcasts chart (US, Sep 12, 2026).

#54 ▼ 4 Technology US

What listeners say

A curated, balanced selection of Apple Podcasts reviews.

I love this podcast as I I pretty much walk away from every show with something I can apply in my work!

Willm50 · Sep 2025

Its so far been the best way to keep up with everything happening in the AI space from a builder/applied engineering standpoint point. Cuts through the slop and usual clickbaity stuff, the guests are mostly folks building relevant things today. 10/10 recommend

seanjames_writes · Jul 2025

If you're an AI engineer or want to become one, this is the best resource for it, everyone being interviewed is actually building interesting stuff and sharing learnings

Eriklesher · Sep 2024

If you want to hear from the people who are actually pushing the boundaries of AI, Latent Space is the podcast you need. The hosts do a killer job of getting deep into the stuff that matters without dumbing it down. The guests are engineers, researchers, and founders who are building the future of AI right now—people who are making real waves in the space. What I love most is how they dive into cutting-edge projects and tech breakthroughs in a way that feels like you’re in on an insider conversation. This is the place to listen if you’re serious about AI and want to learn from the best in the field. If you’re looking to skip the hype and go straight to the source of what’s really happening in AI, this is your spot!

MattSpitts · Sep 2024

The discussions on this podcast are potentially insightful, but after four episodes, I'm frustrated. The hosts and guests often launch into deep conversations using industry acronyms and company-specific news without providing any necessary context for the average listener. This lack of consideration makes the show difficult to follow and defeats the purpose of learning. They need to prioritize context for the audience.

chief_rocka · Nov 2025

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