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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
Open Source
Language Models

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 weeklyEpisodes219Founded3 years ago
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Artwork for Latent Space: The AI Engineer Podcast

Latest Episodes

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

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 the new cohort of AI Infra decacorns that are (with Nvidia, Intel, and the semis ... more

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 — if you can get the agentic interface right.

A key trend we have been tracking... more

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 a... more

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Recent Guests

Akshay Nathan
Lead Core Product Engineering at OpenAI; featured guest discussing ChatGPT Work and Codex
OpenAI
Episode: Codex from 0 to 10M Users: Building ChatGPT Work — Akshay Nathan, OpenAI
Eiso Kant
Co-founder/CEO of Poolside
Poolside
Episode: Inside the Model Factory — Eiso Kant, Poolside AI
Bo Wang
SVP and head of biomedical AI at Xaira Therapeutics
Xaira Therapeutics
Episode: 🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist)
Ci Chu
SVP of AI Enabled Discovery at Xaira; Chief AI Scientist
Xaira Therapeutics
Episode: 🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist)
Rafa Gómez-Bombarelli
Chief Scientific Officer for Physical Sciences at Lila; co-founder
Lila Science
Episode: 🔬 The Lab of the Future Should Feel Like a Data Center — Andy Beam & Rafa Gómez-Bombarelli, Lila Sciences
Andy Beam
Chief Technology Officer at Lila Science
Lila Science
Episode: 🔬 The Lab of the Future Should Feel Like a Data Center — Andy Beam & Rafa Gómez-Bombarelli, Lila Sciences
Akshat Bubna
CTO of Modal
Modal
Episode: Why AI Infrastructure must evolve for Agent Experience — Akshat Bubna, Modal CTO
Evan Feinberg
Founder and CEO of Genesis Molecular AI
Genesis Molecular AI
Episode: 🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI
Sergey Edunov
CTO of Genesis Molecular AI, led Llama 2 and Llama 3 pre-training
Genesis Molecular AI
Episode: 🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI

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 391 ratings
  • I could hardly understand the speaker being interviewed.

    Podcast Addict
    2
    yop host jnr
    2 months 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
    Australia4 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 States9 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 Statesa year 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 Statesa year 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.

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.

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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. Training Data
3. Practical AI
4. Machine Learning Street Talk (MLST)
5. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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

Latent Space: The AI Engineer Podcast launched 3 years ago and published 219 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. Akshay Nathan
2. Eiso Kant
3. Bo Wang
4. Ci Chu
5. Rafa Gómez-Bombarelli
6. Andy Beam
7. Akshat Bubna
8. Evan Feinberg

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