Latent Space: The AI Engineer Podcast

Latent.Space

The main Latent Space podcast: AI engineering, Forward Deployed Engineering, AI for science, and ⚡ Lightning episodes. Other feeds: Engineering and FDE: https://podcast.latent.space/eng.xml; Science: https://podcast.latent.space/science.xml; Misc (Lightning and other shows): https://podcast.latent.space/misc.xml; Firehose (all available shows): https://podcast.latent.space/firehose.xml. Feed directory: https://latent.space/pods

  1. 2日前

    How Anthropic ships the #1 LLM in the World safely: Separating the Brain from the Hands

    Katelyn Lesse and Angela Jiang join Latent Space to explain the engineering behind the Claude Platform: launching Opus 5.5, separating the model’s “brain” from the agent’s “hands,” scaling APIs, and building reliable managed agents. A new introduction ...

  2. 3日前

    Why Agents Love Supabase

    AI agents are creating more software—and that changes what a backend needs to do. Supabase co-founders Paul Copplestone and Ant Wilson join swyx to discuss running long-lived workloads alongside the database, making schemas easier for agents to underst...

    Why Agents Love Supabase

  3. 3日前

    ⚡ An Eval for AI Scientists That Knows the Answer Key - Ian Quigley, Leash Bio

    Watch the full show on YouTube: https://www.youtube.com/watch?v=vhPCo-8K78U

  4. 10月22日

    Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO

    Warm welcome to Basil Chatha, our newest cohost from the Forward Deployed side of the AI Engineering world! We’ll be ramping up a new show with him and couldn’t pass up an interview with Modal’s CEO Eric on the occasion of their monster Series D! Two y...

    Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO

  5. 10月22日

    The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi

    Anekha Sokhal, CEO of Moshi, joins swyx to discuss building a recommendation engine for commodity traders, turning market data into useful signals, and designing AI that fits users’ workflows. Watch: YouTube · Moshi · Anekha 0:00 AI Engineer New York a...

    The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi

  6. 10月21日

    AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess

    Alex Lieberman and CJ Hess join swyx at AI Engineer New York to discuss Tenex’s approach to AI-native engineering, paying for outcomes, MetaHarness, enterprise AI adoption and rebuilding SaaS. Show notes: Tenex: https://www.tenex.co/ Building an AI-nat...

    AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess

  7. 10月20日

    The Programmable Data Center — Evan Conrad, SF Compute

    This was recorded on the sidelines of the new Compute Trading track at AIE NYC. Catch us next at AIE CODE, our last flagship for the top agentic engineers in the world. In the early days of cloud, former guest Martin Casado made something so disruptive...

    The Programmable Data Center — Evan Conrad, SF Compute

  8. 10月14日

    🔬 Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio

    A few years ago I stumbled upon Leash Bio’s Substack, and was hooked. Be it their Kaggle competition that showed that no, we really haven’t solved protein-ligand binding, or their crazy discovery that knowing a molecule’s author is perhaps all you need...

    🔬 Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio
すべて見る（287）

番組について

The main Latent Space podcast: AI engineering, Forward Deployed Engineering, AI for science, and ⚡ Lightning episodes. Other feeds: Engineering and FDE: https://podcast.latent.space/eng.xml; Science: https://podcast.latent.space/science.xml; Misc (Lightning and other shows): https://podcast.latent.space/misc.xml; Firehose (all available shows): https://podcast.latent.space/firehose.xml. Feed directory: https://latent.space/pods

情報

  • クリエイター
    Latent.Space
  • 配信期間
    23年 - 26年
  • エピソード
    287
  • 制限指定
    不適切な内容を含む
  • Copyright
    © 2026 Latent.Space
  • 番組のウェブサイト
    Latent Space: The AI Engineer Podcast

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