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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
Artificial Intelligence
AI Agents
Anthropic
AI Research
Reinforcement Learning
Natural Language Processing
AI Models
AI Engineer World's Fair
Synthetic Data
Transformers
Computer Vision
API
Gemini
AI Safety
MCP
Generative AI
Open Source

The main Latent Space podcast: AI engineering, Forward Deployed Engineering, AI for science, and ⚡ Lightning episodes. Other feeds: Engineering and FDE: podcast.latent.space/eng.xml; Science: podcast.latent.space/science.xml; Misc (Lightning and other shows): podcast.latent.space/misc.xml; Firehose (all available shows): podcast.latent.space/firehose.xml. Feed direc... more

PublishesDailyEpisodes285Founded4 years ago
Number of ListenersCategories
TechnologyScience

Listen to this Podcast

Artwork for Latent Space: The AI Engineer Podcast

Latest Episodes

Watch the full show on YouTube: www.youtube.com/watch?v=vhPCo-8K78U

Full show notes and links

Warm welcome to Basil Chatha, our newest cohost from the Forward Deployed side of the AI Engineering world! We’ll be ramping up a new show with him and couldn’t pass up an interview with Modal’s CEO Eric on the occasion of their monster Series D! Two... more

Anekha Sokhal, CEO of Moshi, joins swyx to discuss building a recommendation engine for commodity traders, turning market data into useful signals, and designing AI that fits users’ workflows. Watch: YouTube · Moshi · Anekha 0:00 AI Engineer New York... more

Alex Lieberman and CJ Hess join swyx at AI Engineer New York to discuss Tenex’s approach to AI-native engineering, paying for outcomes, MetaHarness, enterprise AI adoption and rebuilding SaaS. Show notes: Tenex: www.tenex.co/ Building an AI-n... more

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Recent Guests

Pushmeet Kohli
Google DeepMind researcher whose work includes AlphaFold and AI-driven biology.
Google DeepMind
Episode: 🔬 Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub
Sal Candido
Biohub researcher discussing biological data, protein language models, and AI for biology.
Biohub
Episode: 🔬 Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub
Liam Fedus
AI researcher and Periodic Labs co-founder
Periodic Labs
Episode: 🔬 Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk
Ekin Doğuş Çubuk
Materials scientist and Periodic Labs co-founder
Periodic Labs
Episode: 🔬 Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk
Alex Zhang
PhD student at MIT, researcher focused on Recursive Language Models (RLMs) and harness design
Massachusetts Institute of Technology
Episode: Academia is for Ambition — Alex Zhang, MIT
Thariq Shihipar
Engineer at Anthropic
Anthropic
Episode: Claude Code’s Next Era — Thariq Shihipar, Anthropic
Anjney Midha
Investor/Entrepreneur, partner at a16z
a16z
Episode: OpenRouter: from Seed to Stripe — with OpenRouter’s Alex Atallah & AMP’s Anjney Midha
Alex Atallah
Co-founder of OpenRouter
OpenRouter
Episode: OpenRouter: from Seed to Stripe — with OpenRouter’s Alex Atallah & AMP’s Anjney Midha
Eric Nguyen
CEO and co-founder of Radical Numerics
Radical Numerics
Episode: 🔬 Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)

Hosts

Vibhu
Host of Latent Space: The AI Engineer Podcast; frequently introduces guests and guides conversations.
RJ Haneki
CTO of Miraomics; co-host and guest facilitator in multiple episodes.
Brandon Anderson
Guest/host on the show; co-host; involved in Latent Space AR for Science; appears across multiple lineups.

Reviews

4.6 out of 5 stars from 395 ratings
  • Sometimes interesting chats but frequently very visual and they don't describe what they show. Not a podcast.

    Podcast Addict
    2
    kretyn
    3 months ago
  • Data center locations

    Can data centers be placed far away from neighborhoods?

    Data center should be located where they won’t compete with communities for electricity and water.

    The noise and air pollution from data center should be far away from communities.

    Can data centers be built out in the middle of nowhere?

    Apple Podcasts
    5
    BGDem
    United States3 months ago
  • I could hardly understand the speaker being interviewed.

    Podcast Addict
    2
    yop host jnr
    5 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
    Australia6 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 Statesa year ago

Listeners Say

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

Some episodes are hard to follow due to heavy industry jargon; listeners crave more context.
Consistently strong on technical depth and real-world implications of AI tooling.
The show is a go-to for AI engineers who want deep dives and practical takeaways.
A mix of highly actionable content and strong open-source/open-research perspectives.
Listeners praise practical, applicable insights and high-quality guest lineups.

Chart Rankings

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Talking Points

Recent interactions between the hosts and their guests.

🔬 Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk
Q: Don't we have most of the laws of physics worked out? And how come we don't have perfect simulators already?
Many material behaviors remain difficult to predict because systems with many interacting atoms exhibit complex collective effects. Existing approaches such as density functional theory have limitations, and even perfect simulations would not capture every real-world structure or replace experimental verification.
🔬 Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk
Q: What's the difference between what you do at OpenAI as a big lab and what you do here?
At Periodic, reinforcement-learning environments and data come from physical laboratories, where experiments are noisy, uncertain, slow, and limited in number. The AI must reason from incomplete measurements and use scarce experimental data efficiently.
🔬 Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub
Q: What do you think, is there another big leap being made here? Are there blockers in solving these problems?
Pushmeet Kohli says AlphaFold predicted structures represented in the PDB rather than resolving protein dynamics or the full range of protein states. He identifies cryo-EM micrographs as a promising source of richer information, while Sal Candido argues that models need to move from individual proteins toward whole biological systems.
🔬 Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub
Q: Is there a bitter lesson for data?
Sal Candido says scaling laws must be discovered rather than assumed, and success depends on finding data with the information needed for the problem. Pushmeet Kohli adds that researchers should focus on the problem first and flexibly combine modeling, data generation, and scientific expertise.
Claude Code’s Next Era — Thariq Shihipar, Anthropic
Q: What is Claude Mods and how does it change harness engineering?
Claude Mods are customizable extensions that modify both the execution of the harness and its UI, enabling classifiers, quizzes, and a modular approach to testing assumptions, with the ability to fork sub-agents and maintain prompt caches for cheap, reusable tasks.

Audience Metrics

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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?

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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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
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4. Practical AI
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 4 years ago and published 285 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. Pushmeet Kohli
2. Sal Candido
3. Liam Fedus
4. Ekin Doğuş Çubuk
5. Alex Zhang
6. Thariq Shihipar
7. Anjney Midha
8. Alex Atallah

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