Latent Space: The AI Engineer Podcast

Latent.Space

Tldraw

Neurips 2023

Visual Art

Openai

Collaborative Experiences

Design Tools

Machine Learning

Artificial Intelligence

Data Science

Open Source

Open Source AI

Hugging Face

AI Coding Agents

Playground AI

Ai-First Graphics Editor

Gpt-4

Axolotl

Sourcegraph

Natural Language Processing

Multimodal 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

345 ratings

Publishes	Twice weekly	Episodes	183	Founded	3 years ago
Number of Listeners		Categories	ScienceTechnology

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Latest Episodes

Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Hørup Eskildsen of Turbopuffer

Turbopuffer came out of a reading app.

In 2022, Simon was helping his friends at Readwise scale their infra for a highly requested feature: article recommendations and semantic search. Readwise was paying ~$5k/month for their relational database and... more

12 Mar 2026 • 1 hr

NVIDIA's AI Engineers: Agent Inference at Planetary Scale and "Speed of Light" — Nader Khalil (Brev), Kyle Kranen (Dynamo)

Join Kyle, Nader, Vibhu, and swyx live at NVIDIA GTC next week!

Now that AIE Europe tix are ~sold out, our attention turns to Miami and World’s Fair!

The definitive AI Accelerator chip company has more than 10xed this AI Summer:

And is now a $4.4 ... more

10 Mar 2026 • 1 hr 23 min

Cursor's Third Era: Cloud Agents

All speakers are announced at AIE EU, schedule coming soon. Join us there or in Miami with the renowned organizers of React Miami! Singapore CFP also open!

We’ve called this out a few times over in AINews, but the overwhelming consensus in the Valle... more

6 Mar 2026 • 1 hr 6 min

Every Agent Needs a Box — Aaron Levie, Box

The reception to our recent post on Code Reviews has been strong. Catch up!

Amid a maelstrom of discussion on whether or not AI is killing SaaS, one of the top publicly listed SaaS companies in the world has just reported record revenues, clearing w... more

5 Mar 2026 • 1 hr 16 min

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Recent Guests

Nader Khalil

Co-founder/leader at Brev, Open source agent marketing, Dev tools

Brev (acquired by NVIDIA)

Episode: NVIDIA's AI Engineers: Agent Inference at Planetary Scale and "Speed of Light" — Nader Khalil (Brev), Kyle Kranen (Dynamo)

Kyle Kranen

Engineering leader and architect of Dynamo

NVIDIA

Episode: NVIDIA's AI Engineers: Agent Inference at Planetary Scale and "Speed of Light" — Nader Khalil (Brev), Kyle Kranen (Dynamo)

Aaron Levie

CEO of Box, investor and founder on enterprise data and AI agents

Box

Episode: Every Agent Needs a Box — Aaron Levie, Box

Jeff Huber

CEO of Chroma, guest host facilitating enterprise AI discussion

Chroma

Episode: Every Agent Needs a Box — Aaron Levie, Box

Joel Becker

An influential AI researcher focusing on model evaluation and AI safety.

METR

Episode: METR’s Joel Becker on exponential Time Horizon Evals, Threat Models, and the Limits of AI Productivity

Max Welling

A pioneer in AI and materials science, co-founder of CuspAI, known for his work on variational autoencoders and graph neural networks

CuspAI

Episode: 🔬Searching the Space of All Possible Materials — Prof. Max Welling, CuspAI

Jeff Dean

Chief AI scientist at Google

Google

Episode: Owning the AI Pareto Frontier — Jeff Dean

Kevin Wang

Undergraduate student from Princeton, lead of the project.

Princeton University

Episode: [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

Pliny the Liberator

Leader in AI security and adversarial machine learning

Episode: ⚡️Jailbreaking AGI: Pliny the Liberator & John V on Red Teaming, BT6, and the Future of AI Security

Reviews

4.7 out of 5 stars from 345 ratings

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 States4 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 States6 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 States7 months ago
Fantastic Info!
Really enjoying this podcast. The recent talk with Datology was really well done! Bring more of this! Good work!
Apple Podcasts
5
coolfactor
Canada7 months ago
My main source for AI commentary
The pace and magnitude of change driven by AI engineering is massive. This is how I stay on top of things! Appreciate the in-depth analysis and the breadth of topics. Great work!
Apple Podcasts
5
Jess Martin
United States8 months ago

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Listeners Say

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

Listeners appreciate the practical insights and applications of AI technologies discussed in the episodes.

The show's focus on expert guests from industry and academia is highly valued, offering depth and relevance.

Some reviewers note that the discussions can be dense or challenging for those less experienced in AI, highlighting a potential need for context.

The hosts are praised for their engaging style, although some audience members point out a need for improved organization in episodes.

Chart Rankings

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

Spotify	#46	United States/Technology
Apple Podcasts	#29	United States/Technology
Apple Podcasts	#24	Canada/Technology
Apple Podcasts	#39	United Kingdom/Technology
Apple Podcasts	#27	Australia/Technology
Apple Podcasts	#43	Germany/Technology

Talking Points

Recent interactions between the hosts and their guests.

Every Agent Needs a Box — Aaron Levie, Box

Q: What makes agent deployment different in the enterprise compared to coding?

In the enterprise, you must consider data governance, liability, and privacy; agents require oversight, and there are significant challenges around who is responsible for an agent's actions and what data they can access.

Every Agent Needs a Box — Aaron Levie, Box

Q: What is the core platform Box is building around agents?

Box is focusing on a secure, governable filesystem and data workspace where agents can access, search, and collaborate on enterprise content while maintaining strict access controls and privacy.

METR’s Joel Becker on exponential Time Horizon Evals, Threat Models, and the Limits of AI Productivity

Q: What do we expect out of METR in 2026? What does success look like in 2030?

In 2026, METR aims to provide high-quality capabilities evidence and expand into monitoring research directions, assessing the effectiveness of safeguards applied to AI models.

[State of RL/Reasoning] IMO/IOI Gold, OpenAI o3/GPT-5, and Cursor Composer — Ashvin Nair, Cursor

Q: What task would qualify as like, oh, that's the inflection?

It's kind of like, you know, when you see it. I thought the like Sunday demo is kind of cool. Like maybe it's like starting to get there.

Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)

Q: What was that process like for you?

The acquisition process was mostly driven by the Weights and Biases founding team, and it took a long time with many uncertainties.

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?

Focused on the field of AI engineering, this show features discussions surrounding cutting-edge technologies, innovative research, and advancements in software development, particularly in AI applications. Topics include AI models, code generation, multimodality, and AI systems' engineering, emphasizing real-world applications and their implications in various domains. The hosts frequently invite industry leaders and pioneers who share their insights, making the episodes a rich resource for practitioners in the AI field who seek both actionable knowledge and theoretical understanding.

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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. Dwarkesh Podcast
2. Practical AI
3. The a16z Show
4. The AI Daily Brief: Artificial Intelligence News and Analysis
5. All-In with Chamath, Jason, Sacks & Friedberg

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

Latent Space: The AI Engineer Podcast launched 3 years ago and published 183 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. Nader Khalil
2. Kyle Kranen
3. Aaron Levie
4. Jeff Huber
5. Joel Becker
6. Max Welling
7. Jeff Dean
8. Kevin Wang

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.

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