
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 de... more
| Publishes | Twice weekly | Episodes | 221 | Founded | 4 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyScience | |||

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 sim... more
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 prominen... more
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 Sc... more
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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 ... more
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Sometimes interesting chats but frequently very visual and they don't describe what they show. Not a podcast.
I could hardly understand the speaker being interviewed.
Interesting and relevant content, but couldn’t get past the interviews with frontier AI engineers feeling like softball ads. Maybe it’s just what we get with all OpenAi etc interviews is this pedaling their wares but soft leading questions makes it feel like 1hr of product hyping.
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.
I love this podcast as I I pretty much walk away from every show with something I can apply in my work!
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A technically focused show featuring in-depth conversations with AI engineers, researchers, and startup founders who are deploying and building next‑gen AI systems. Episodes frequently center on open inference, production-grade AI tooling, model deployment, and scalable infrastructure, with a heavy emphasis on practical engineering details, real-world bottlenecks, and open vs closed approaches. Guests span inference tooling, AI hardware trends, open research, AI-enabled biotech, and advanced math tooling, offering both strategic and hands-on insights for builders, researchers, and engineering leaders. Notable strengths include rigorous technical depth, candid discussions about scale and safety, and a strong emphasis on open ecosystems and p... more
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Latent Space: The AI Engineer Podcast launched 4 years ago and published 221 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on Latent Space: The AI Engineer Podcast include:
1. Anima Anandkumar
2. Joon Sung Park
3. Neil Patil
4. Matt McPartlon
5. Philip Kiely
6. Ali Taha
7. Akshay Nathan
8. Eiso Kant
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