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Artwork for Latent Space: The AI Engineer Podcast

Latent Space: The AI Engineer Podcast

Latent.Space
Openai
Machine Learning
AI Engineering
AI Agents
Artificial Intelligence
Anthropic
AI Research
Reinforcement Learning
Natural Language Processing
AI Models
AI Engineer World's Fair
Synthetic Data
Transformers
Computer Vision
API
AI Safety
MCP
Generative AI
Language Models
SAM 3

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

PublishesTwice weeklyEpisodes212Founded3 years ago
Number of ListenersCategories
ScienceTechnology

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Artwork for Latent Space: The AI Engineer Podcast

Latest Episodes

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 Atomwi... more

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 t... more

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 Fabl... more

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... more

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Recent Guests

Matei Zaharia
Co-founder and CTO of Databricks
Databricks
Episode: Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks
Reynold Xin
Co-founder and Chief Architect at Databricks
Databricks
Episode: Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks
Matt Fredrikson
Co-founder of Gray Swan, CMU researcher in security for AI
Gray Swan
Episode: Red-Teaming after Mythos — Zico Kolter & Matt Fredrikson, Gray Swan
Zico Kolter
Co-founder of Gray Swan, CMU researcher in AI safety
Gray Swan
Episode: Red-Teaming after Mythos — Zico Kolter & Matt Fredrikson, Gray Swan
Anjney Midha
CEO and founder of Anthropo/AMP, investor and entrepreneur
AMP/Anthropo
Episode: The Professor of Outputmaxxing — Anjney Midha, AMP
Joseph Krause
CEO of Radical AI
Radical AI
Episode: 🔬 The Self-Driving Lab — Joseph Krause, Radical AI
Axel Backlund
Co-founder of Andon Labs
Andon Labs
Episode: Reality: The Final Eval — Lukas Petersson and Axel Backlund of Andon Labs
Carina Hong
CEO and founder of Axiom Math
Axiom Math
Episode: 🔬Scaling Past Informal AI - Carina Hong, Axiom Math
Satya Nadella
Chairman and Chief Executive Officer of Microsoft
Microsoft
Episode: ⚡️Satya Nadella: No Priors x Latent Space Crossover Special at Microsoft Build

Hosts

Eva
Host of the Latent Space AI Engineer Podcast
Alessio
Host of Latent Space podcast; Kernel Labs founder; editor of Latent Space

Reviews

4.7 out of 5 stars from 374 ratings
  • I could hardly understand the speaker being interviewed.

    Podcast Addict
    2
    yop host jnr
    a month ago
  • Soft interviews or fan ads

    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.

    Apple Podcasts
    3
    Smashing kittens
    Australia3 months ago
  • Insightful, but Hard to Follow Sans Context

    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.

    Apple Podcasts
    2
    chief_rocka
    United States7 months ago
  • Immediate Impact

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

    Apple Podcasts
    5
    Willm50
    United States10 months ago
  • The hosts feel like they want to be characters on HBO’s Silicon Valley

    I initially subscribed to this podcast because there’s a lack of quality podcasts in the AI, ML, LLM, ML Ops, whatever you’d like to call it, space. Unfortunately, Latent Space isn’t filling that void.

    Even if you disregard the hosts’ condescending “everyone serious about tech is working for a startup in San Francisco” attitude, which comes up on every episode, the show is simply not organized. The hosts and their guests will discuss some library or article, and forget to link it in their epis... more

    Apple Podcasts
    1
    Thank T.
    United States10 months ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

High-quality guests and thoughtful, technically-grounded discussions.
Praises depth and breadth; critiques organization and show notes alignment.
Loved the practical take on AI engineering and deployment.
Some episodes are dense with jargon; provide more context for newcomers.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Spotify
#49
United States/Technology
Apple Podcasts
#39
United States/Technology
Apple Podcasts
#25
United Kingdom/Technology
Apple Podcasts
#52
Canada/Technology
Apple Podcasts
#39
France/Technology
Apple Podcasts
#52
Australia/Technology

Talking Points

Recent interactions between the hosts and their guests.

⚡️Satya Nadella: No Priors x Latent Space Crossover Special at Microsoft Build
Q: How do you envision pricing evolving for AI-enabled SaaS and enterprise products?
Pricing will likely combine subscriptions, per-user entitlements, and flexible consumption meters, with outcomes-based pricing remaining an option for customers who value demonstrable results.
⚡️Satya Nadella: No Priors x Latent Space Crossover Special at Microsoft Build
Q: What are the key learnings from deploying frontier AI inside a large organization like Microsoft?
Deployment taught us that real-world value hinges on private evaluations, enterprise-grade harnesses, and the ability to tailor the model to specific traces and workflows, rather than chasing single benchmarks.
Reality: The Final Eval — Lukas Petersson and Axel Backlund of Andon Labs
Q: What motivated the move from Vending Bench to multi-agent CEO-style setups?
The team wanted to push beyond a single agent, exploring parallelization, memory sharing, and economic decision-making to see how agents manage multiple threads and oversee a business.
Reality: The Final Eval — Lukas Petersson and Axel Backlund of Andon Labs
Q: How did you get Anthropic involved early on?
They originally did evals with Anthropic as an early customer, which led to the idea of publishing public benchmarks rather than keeping it internal.
GitHub's plan for Agents — Kyle Daigle, GitHub
Q: How do you see the role of trust and social signals (like stars or vouches) evolving in AI-enabled open source communities?
Trust remains a social problem; automated verification helps but cannot replace human judgment. We're exploring stronger, more explicit trust signals and adaptive governance that preserves openness while providing practical guidance for maintainers and users alike.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
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Frequently Asked Questions About Latent Space: The AI Engineer Podcast

What is Latent Space: The AI Engineer Podcast about and what kind of topics does it cover?

The show centers on practical, engineer-first discussions about cutting-edge AI across software, systems, and real-world deployments. Episodes routinely explore foundation models, AI agents, multimodal tech, enterprise tooling, and hardware-software co-design, with guests ranging from startup founders and CTOs to researchers and product leaders. A recurring strength is translating high-level AI breakthroughs into actionable insights for developers and teams building in production environments, from healthcare workflows to autonomous systems and large-scale inference. Noteworthy is the emphasis on how to operationalize AI responsibly and at scale, including memory, personalization, safety, and governance considerations, often anchored by con... more

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Which podcasts are similar to Latent Space: The AI Engineer Podcast?

These podcasts share a similar audience with Latent Space: The AI Engineer Podcast:

1. No Priors: Artificial Intelligence | Technology | Startups
2. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
3. Machine Learning Street Talk (MLST)
4. Training Data
5. Dwarkesh Podcast

How many episodes of Latent Space: The AI Engineer Podcast are there?

Latent Space: The AI Engineer Podcast launched 3 years ago and published 212 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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What guests have appeared on Latent Space: The AI Engineer Podcast?

Recent guests on Latent Space: The AI Engineer Podcast include:

1. Matei Zaharia
2. Reynold Xin
3. Matt Fredrikson
4. Zico Kolter
5. Anjney Midha
6. Joseph Krause
7. Axel Backlund
8. Carina Hong

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