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
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 weeklyEpisodes221Founded4 years ago
Number of ListenersCategories
TechnologyScience

Listen to this Podcast

Artwork for Latent Space: The AI Engineer Podcast

Latest Episodes

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

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

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.

Training Data
Training DataSequoia Capital
Practical AI
Practical AIDaniel Whitenack and Chris Benson
Dwarkesh Podcast
Dwarkesh PodcastDwarkesh Patel
Machine Learning Street Talk (MLST)
Machine Learning Street Talk (MLST)Machine Learning Street Talk (MLST)

Recent Guests

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
Ali Taha
Affiliated with Baseten
Baseten
Episode: The Inference Engineering Masterclass — Philip Kiely & Ali Taha, Baseten
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)

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

4.7 out of 5 stars from 391 ratings
  • Sometimes interesting chats but frequently very visual and they don't describe what they show. Not a podcast.

    Podcast Addict
    2
    kretyn
    a month ago
  • I could hardly understand the speaker being interviewed.

    Podcast Addict
    2
    yop host jnr
    3 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
  • 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

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.

Apple Podcasts
#59
United States/Technology
Apple Podcasts
#28
United Kingdom/Technology
Apple Podcasts
#40
Canada/Technology
Apple Podcasts
#56
France/Technology
Apple Podcasts
#60
Germany/Technology
Apple Podcasts
#67
Australia/Technology

Talking Points

Recent interactions between the hosts and their guests.

Simulation: the new Scaling Law — Joon Sung Park, Simile AI
Q: What questions would a customer ask, and how do you customize a model for them?
Customers typically describe a population they care about, then they model that population using environments like surveys or behavioral experiments to run concept testing, focus groups, or even simulate earnings calls for public companies; they build population-level and individual-level models and tailor data collection to the target group.
⚡️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.

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. Practical AI
4. Dwarkesh Podcast
5. Machine Learning Street Talk (MLST)

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

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.

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. Anima Anandkumar
2. Joon Sung Park
3. Neil Patil
4. Matt McPartlon
5. Philip Kiely
6. Ali Taha
7. Akshay Nathan
8. Eiso Kant

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