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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
Natural Language Processing
AI Models
Reinforcement Learning
AI Engineer World's Fair
Synthetic Data
Transformers
Computer Vision
API
AI Safety
MCP
Generative AI
Language Models
SAM 3

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 weeklyEpisodes194Founded3 years ago
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Artwork for Latent Space: The AI Engineer Podcast

Latest Episodes

Today, we check in a year after the first Unsupervised Learning x Latent Space Crossover special to discuss everything that has changed (there is a lot) in the world of AI. This episode was recorded just after AIE Europe, but before the Cursor-xAI de... more

Early bird discounts for the San Francisco World’s Fair, the biggest AIE gathering of the year, end today - prices will go up by ~$500 tonight so do please lock in ASAP!

From near-universal AI tool adoption inside Shopify to internal systems for ML ... more

Today, we explain this piece of “clickbait” from our guest!

TL;DR: 95% of cancer treatments fail to pass clinical trials, but it may be a matching problem — if we better understood what patients have which tumors which will respond to which treatmen... more

For all those who missed out on London, see you in Miami next week!

Notion, the knowledge work decacorn, has been building AI tooling since before ChatGPT, with many hits from Q&A in 2023 and unified AI in 2024 and Meeting Notes in 2025. At the end ... more

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Recent Guests

Mikhail Parakhin
CTO of Shopify
Shopify
Episode: Shopify’s AI Phase Transition: 2026 Usage Explosion, Unlimited Opus-4.6 Token Budget, Tangle, Tangent, SimGym — with Mikhail Parakhin, Shopify CTO
Ron Alfa
Co-founder and CEO of Noetik
Noetik
Episode: 🔬 Training Transformers to solve 95% failure rate of Cancer Trials — Ron Alfa & Daniel Bear, Noetik
Dan Bear
VP of AI at Noetik
Noetik
Episode: 🔬 Training Transformers to solve 95% failure rate of Cancer Trials — Ron Alfa & Daniel Bear, Noetik
Simon Last
Notion executive involved in AI tooling and agent strategy
Notion
Episode: Notion’s Token Town: 5 Rebuilds, 100+ Tools, MCP vs CLIs and the Software Factory Future — Simon Last & Sarah Sachs of Notion
Sarah Sachs
Notion executive involved in AI tooling and agent strategy
Notion
Episode: Notion’s Token Town: 5 Rebuilds, 100+ Tools, MCP vs CLIs and the Software Factory Future — Simon Last & Sarah Sachs of Notion
Ryan Lopopolo
From OpenAI Frontier, discussing harnesses and enterprise deployment of AI agents
OpenAI
Episode: Extreme Harness Engineering for Token Billionaires: 1M LOC, 1B toks/day, 0% human code, 0% human review — Ryan Lopopolo, OpenAI Frontier & Symphony
Marc Andreessen
Co-founder of Andreessen Horowitz; startup investor
Andreessen Horowitz
Episode: Marc Andreessen introspects on The Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"
Fan-yun Sun
Co-founder of Moonlake, researcher focused on interactive world models and multimodal reasoning
Moonlake
Episode: Moonlake: Causal World Models should be Multimodal, Interactive, and Efficient — with Chris Manning and Fan-yun Sun
Chris Manning
Researcher and co-founder of Moonlake, renowned for NLP and AI fundamentals
Moonlake
Episode: Moonlake: Causal World Models should be Multimodal, Interactive, and Efficient — with Chris Manning and Fan-yun Sun

Reviews

4.7 out of 5 stars from 357 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 States5 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 States8 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 States8 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
    Canada8 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 States9 months ago

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
#44
United States/Technology
Apple Podcasts
#34
United States/Technology
Apple Podcasts
#23
United Kingdom/Technology
Apple Podcasts
#27
Canada/Technology
Apple Podcasts
#28
Australia/Technology
Apple Podcasts
#41
Germany/Technology

Talking Points

Recent interactions between the hosts and their guests.

Mistral: Voxtral TTS, Forge, Leanstral, & what's next for Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample
Q: What are we announcing today?
We are releasing Voxtral TTS, an autoregressive flow-based speech generation model that includes a new neural audio codec and in-house encoders, designed for fast, cost-efficient, real-time TTS with multilingual capabilities.
Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Hørup Eskildsen of Turbopuffer
Q: What are the core market signals that validate this architecture over incumbent solutions?
The combination of a new workload (AI-driven data use), a shift to S3-consistent storage, and the need for high-concurrency, low-latency queries across massive datasets were cited as key market signals supporting the architecture.
Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Hørup Eskildsen of Turbopuffer
Q: How did Cursor influence Turbopuffer's trajectory?
Cursor's engagement demonstrated real-world demand; their migration cut costs dramatically and proved the viability of Turbopuffer's approach, reinforcing the team's decision to push forward with full product development.
Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Hørup Eskildsen of Turbopuffer
Q: What inspired Turbopuffer's focus on a storage-first, object-storage-backed architecture?
Simon explains that the goal was to build a database that minimizes latency by keeping data in a scalable object store and only loading into NVMe/DRAM when needed, enabling cheap, large-scale search while retaining full fidelity of data.
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.

Audience Metrics

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

Listeners per Episode
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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. No Priors: Artificial Intelligence | Technology | Startups
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5. The a16z Show

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

Latent Space: The AI Engineer Podcast launched 3 years ago and published 194 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. Mikhail Parakhin
2. Ron Alfa
3. Dan Bear
4. Simon Last
5. Sarah Sachs
6. Ryan Lopopolo
7. Marc Andreessen
8. Fan-yun Sun

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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