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Artwork for Latent Space: The AI Engineer Podcast

Latent Space: The AI Engineer Podcast

swyx + Alessio
Tldraw
Neurips 2023
Visual Art
Collaborative Experiences
Design Tools
Machine Learning
Openai
Artificial Intelligence
Data Science
Open Source
Open Source AI
Hugging Face
AI Coding Agents
Ai-First Graphics Editor
Playground AI
Gpt-4
Axolotl
Sourcegraph
Natural Language Processing
Multimodal Models

The podcast by and for AI Engineers! In 2024, over 2 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 def... more

PublishesTwice weeklyEpisodes161Founded3 years ago
Number of ListenersCategories
TechnologyEntrepreneurshipBusiness

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Artwork for Latent Space: The AI Engineer Podcast

Latest Episodes

Fei-Fei Li and Justin Johnson are cofounders of World Labs, who have recently launched Marble (marble.worldlabs.ai/), a new kind of generative “world model” that can create editable 3D environments from text, images, and other spatial inputs.... more

Alex Lieberman and Arman Hezarkani, co-founders of Tenex, reveal how they're revolutionizing software consulting by compensating AI engineers for output rather than hours—enabling some engineers to earn over $1 million annually while delivering 10x p... more

Deedy Das, Partner at Menlo Ventures, returns to Latent Space to discuss his journey from Glean to venture capital, the explosive rise of Anthropic, and how AI is reshaping enterprise software and coding. From investing in Anthropic early on when the... more

Jared Palmer, SVP at GitHub and VP of CoreAI at Microsoft, joins Latent Space for an in-depth look at the evolution of coding agents and modern developer tools. Recently joining after leading AI initiatives at Vercel, Palmer shares firsthand insights... more

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Recent Guests

Fei-Fei Li
Professor of Computer Science at Stanford University and co-founder of World Labs.
Stanford University
Episode: After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
Justin Johnson
Former student of Fei-Fei Li and co-founder of World Labs.
World Labs
Episode: After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
Arman Hezarkhani
Co-Founder of Tenex
Tenex
Episode: ⚡️ 10x AI Engineers with $1m Salaries — Alex Lieberman & Arman Hezarkhani, Tenex
Deedy Das
Venture capitalist and former AI engineer
Menlo Ventures
Episode: Anthropic, Glean & OpenRouter: How AI Moats Are Built with Deedy Das of Menlo Ventures
Emily Glassberg Sands
Head of Data and AI at Stripe
Stripe
Episode: The Agents Economy Backbone - with Emily Glassberg Sands, Head of Data & AI at Stripe
Kyle Corbitt
Co-founder and CEO of OpenPipe
OpenPipe
Episode: Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)
Dylan Field
Co-founder of Figma
Figma
Episode: Taste is your Moat (Dylan Field of Figma)
Lance Martin
Expert in AI development and founder of LangChain
LangChain
Episode: Context Engineering for Agents - Lance Martin, LangChain
Ari Morcos
CEO and co-founder of Datology
Datology
Episode: Better Data is All You Need — Ari Morcos, Datology

Hosts

Alessio
Founder and Partner and CTO of Decibel, and founder of Kernel Labs.
Swix
Founder of SmallAI and Co-host.

Reviews

4.7 out of 5 stars from 321 ratings
  • 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 States3 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 States3 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
    Canada3 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 States4 months ago
  • Best Applied Series

    Its so far been the best way to keep up with everything happening in the AI space from a builder/applied engineering standpoint point.

    Cuts through the slop and usual clickbaity stuff, the guests are mostly folks building relevant things today.

    10/10 recommend

    Apple Podcasts
    5
    srv1nn
    United States4 months ago

Listeners Say

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

Some feedback mentions a need for improved organization in show notes and episode structure, though the quality of guests is universally praised.
Listeners appreciate the technical depth of discussions, particularly the focus on practical applications and real-world case studies.
The podcast features insightful commentary on rapidly changing AI trends and is valuable for engineers looking to stay informed.

Chart Rankings

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

Spotify
#41
United States/Technology
Apple Podcasts
#63
United States/Technology
Apple Podcasts
#69
United Kingdom/Technology
Apple Podcasts
#92
Canada/Technology
Apple Podcasts
#110
Germany/Technology
Apple Podcasts
#115
Australia/Technology

Talking Points

Recent interactions between the hosts and their guests.

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.
Cline: the open source coding agent that doesn't cut costs
Q: How does the 'plan and act' paradigm work?
This paradigm allows developers to first plan their tasks and then execute them, streamlining the coding process by reducing the need for manual inputs during execution.
Cline: the open source coding agent that doesn't cut costs
Q: What is Cline?
Cline is an open-source coding agent that operates as a VS Code extension, capable of integrating with multiple services to automate tasks and streamline developer workflows.
Personalized AI Language Education — with Andrew Hsu, Speak
Q: Can you summarize the long-term vision again?
It was that as speech models and language models become superhuman, that would let us create an AI language tutor that would help you become fluent faster than any human could.
[AIEWF Preview] CloudChef: Your Robot Chef - Michellin-Star food at $12/hr (w/ Kitchen tour!)
Q: How does that side of the business?
Nikhil explains that food prep is the most labor-intensive industry, with labor costs rising and high turnover rates, making the rental model for robots viable.

Audience Metrics

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

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
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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?

Focusing on the evolving landscape of artificial intelligence, this podcast serves the needs and interests of AI engineers. It features discussions with industry leaders, expert analyses of foundational AI models, and insights into application design ranging from code generation to multimodal learning and AI infrastructure. Unique in its direct engagement with innovators shaping the field, the conversations often include in-depth explorations of cutting-edge technologies and their implications for both developers and businesses. The insightful commentary aims to provide listeners with a comprehensive understanding of current trends as well as foundational knowledge relevant to emerging technologies in AI.

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

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

Latent Space: The AI Engineer Podcast launched 3 years ago and published 161 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. Fei-Fei Li
2. Justin Johnson
3. Arman Hezarkhani
4. Deedy Das
5. Emily Glassberg Sands
6. Kyle Corbitt
7. Dylan Field
8. Lance Martin

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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