Latent Space: The AI Engineer Podcast

A podcast by swyx + Alessio

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112 Episodes

  1. The AI Founder Gene: Being Early, Building Fast, and Believing in Greatness — with Sharif Shameem of Lexica

    Published: 5/8/2023
  2. No Moat: Closed AI gets its Open Source wakeup call — ft. Simon Willison

    Published: 5/5/2023
  3. Training a SOTA Code LLM in 1 week and Quantifying the Vibes — with Reza Shabani of Replit

    Published: 5/3/2023
  4. Mapping the future of *truly* Open Models and Training Dolly for $30 — with Mike Conover of Databricks

    Published: 4/29/2023
  5. AI-powered Search for the Enterprise — with Deedy Das of Glean

    Published: 4/22/2023
  6. Segment Anything Model and the Hard Problems of Computer Vision — with Joseph Nelson of Roboflow

    Published: 4/13/2023
  7. AI Fundamentals: Benchmarks 101

    Published: 4/7/2023
  8. Grounded Research: From Google Brain to MLOps to LLMOps — with Shreya Shankar of UC Berkeley

    Published: 3/29/2023
  9. Emergency Pod: ChatGPT's App Store Moment (w/ OpenAI's Logan Kilpatrick, LindyAI's Florent Crivello and Nader Dabit)

    Published: 3/24/2023
  10. From Astrophysics to AI: Building the future AI Data Stack — with Sarah Nagy of Seek.ai

    Published: 3/10/2023
  11. 97% Cheaper, Faster, Better, Correct AI — with Varun Mohan of Codeium

    Published: 3/2/2023
  12. ChatGPT, GPT4 hype, and Building LLM-native products — with Logan Kilpatrick of OpenAI

    Published: 2/23/2023

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The podcast by and for AI Engineers! In 2023, over 1 million visitors 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 definitive take on the Current Thing down to the first introduction to the tech you'll be using in the next 3 months! We break news and exclusive interviews from OpenAI, tiny (George Hotz), Databricks/MosaicML (Jon Frankle), Modular (Chris Lattner), Answer.ai (Jeremy Howard), et al. Full show notes always on https://latent.space www.latent.space