Rephonic
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
Transformers
Synthetic Data
Computer Vision
API
Gemini
AI Safety
MCP
Generative AI
Open Source

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 weeklyEpisodes228Founded4 years ago
Number of ListenersCategories
TechnologyScience

Listen to this Podcast

Artwork for Latent Space: The AI Engineer Podcast

Latest Episodes

From the earliest days of open-weight models to becoming the neutral routing layer for more than 10 million developers, OpenRouter is one of the clearest bets that the future of AI will be multi-model. In this episode, OpenRouter co-founder & CEO Ale... more

Earlier this month, world model company Runway introduced GWM Worlds 2, a research preview that “turns high-fidelity video and audio generation into real-time interactive simulation.” Runway calls this an “autoregressive diffusion” model; with autore... more

The OpenAI → Hugging Face attack has people asking “what else do we need to worry about?” and Anthropic’s filters flag two things: cyber-security and biology. The natural question is: what about bio-security, then?

Clem Delangue argues that cyber-w... more

How often do you get to talk to a guest who has both an Academy Award and who invented textbook machine learning algorithms? John Platt has an Oscar, two textbook algorithms, two named asteroids, and an Erdos-Bacon number of 6. This was easily the mo... more

Key Facts

Accepts Guests
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Similar Podcasts

People also subscribe to these shows.

Recent Guests

Eric Nguyen
CEO and co-founder of Radical Numerics
Radical Numerics
Episode: 🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)
Jon Platt
Google Fellow and Head of Applied Science at Google Research
Google
Episode: 🔬 An Oscar, Two Asteroids, and the Algorithm in Your sklearn: John Platt on AI for Science
Diogo Almeida
CEO, TypeSafe AI
TypeSafe AI
Episode: Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI
Richard Socher
CEO/Co-founder, Recursive (guest on episode)
Recursive
Episode: Humanity’s Last Invention — Richard Socher of Recursive
Anima Anandkumar
Bren Professor of Computing at Caltech, AI for Science researcher
California Institute of Technology
Episode: 🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing
Joon Sung Park
Co-founder of Simile AI, researcher turned entrepreneur
Simile AI
Episode: Simulation: the new Scaling Law — Joon Sung Park, Simile AI
Neil Patil
Head of platform and product, Chai Discovery
Chai Discovery
Episode: 🔬The BioAI Phase Shift - Matthew McPartlon & Neil Patil, Chai Discovery
Matt McPartlon
Co-founder, Chai Discovery
Chai Discovery
Episode: 🔬The BioAI Phase Shift - Matthew McPartlon & Neil Patil, Chai Discovery
Philip Kiely
Affiliated with Inference Engineering and Baseten
Inference Engineering / Baseten
Episode: The Inference Engineering Masterclass — Philip Kiely & Ali Taha, Baseten

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 394 ratings
  • Sometimes interesting chats but frequently very visual and they don't describe what they show. Not a podcast.

    Podcast Addict
    2
    kretyn
    2 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 States2 months ago
  • I could hardly understand the speaker being interviewed.

    Podcast Addict
    2
    yop host jnr
    4 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
    Australia5 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 States10 months 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

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

Talking Points

Recent interactions between the hosts and their guests.

Humanity’s Last Invention — Richard Socher of Recursive
Q: What is the Eureka Machine, and why is it significant?
The Eureka Machine is envisioned as a superintelligence capable of pursuing any given goal across environments, ultimately inventing a wide range of technologies for humanity; it represents the kind of autonomous, self-improving system that could accelerate scientific progress if aligned and regulated properly.
🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)
Q: What safeguards are in place to prevent misuse of AI in biology?
The team stresses a dual mandate: advancing design capabilities while building defensive capabilities such as detection, attribution, and countermeasures. They discuss data leakage controls, careful benchmarking, and the goal of assisting biodefense communities with robust tools rather than chasing perfect security alone.
🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)
Q: How does Omni differ from Evo and Evo 2 in practice?
Omni emphasizes alignment and mid/post-training to make the model more useful out of the box, enabling users to query it in standard formats (e.g., disease prediction, design tasks) without heavy fine-tuning. It leverages structured prompts and task-specific formatting to improve reliability across diverse genomic tasks.
🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)
Q: What is a genome language model and why care about long context in DNA?
A genome language model is trained on DNA sequences like a language model on natural language, allowing it to read and, crucially, write DNA. Long-context capabilities let it capture long-range interactions in the genome, enabling predictions of function, regulatory effects, and even design possibilities that were previously out of reach.
🔬 An Oscar, Two Asteroids, and the Algorithm in Your sklearn: John Platt on AI for Science
Q: What are the broad things you're trying to accomplish?
The goals are diverse, including developing interventions that are cost-effective, making predictions for policy and insurance, and building tools that help scientists leverage AI to solve big, hard problems while maintaining rigor and scientific integrity.

Audience Metrics

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

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

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

Where can I find podcast stats for Latent Space: The AI Engineer Podcast?

Rephonic provides a wide range of podcast stats for Latent Space: The AI Engineer Podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Latent Space: The AI Engineer Podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Latent Space: The AI Engineer Podcast get?

Rephonic provides a full set of podcast information for four million podcasts, including the number of listeners. View further listenership figures for Latent Space: The AI Engineer Podcast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for Latent Space: The AI Engineer Podcast?

Rephonic provides comprehensive predictive audience data for Latent Space: The AI Engineer Podcast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does Latent Space: The AI Engineer Podcast have?

To see how many followers or subscribers Latent Space: The AI Engineer Podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

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. Dwarkesh Podcast
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 228 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Latent Space: The AI Engineer Podcast?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Latent Space: The AI Engineer Podcast?

Rephonic pulls ratings and reviews for Latent Space: The AI Engineer Podcast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for Latent Space: The AI Engineer Podcast?

Rephonic provides full transcripts for episodes of Latent Space: The AI Engineer Podcast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

What guests have appeared on Latent Space: The AI Engineer Podcast?

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

1. Eric Nguyen
2. Jon Platt
3. Diogo Almeida
4. Richard Socher
5. Anima Anandkumar
6. Joon Sung Park
7. Neil Patil
8. Matt McPartlon

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days