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    Technology

    Latent Space: The AI Engineer Podcast

    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

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    Copyright: © Latent.Space

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    Latest Episodes:
    What Frontier Labs Buy: A Data Deep Dive with Handshake AI — Garrett Lord & Team Nov 09, 2026
    Show notes

    Our first deep dive with an AI data company. In roughly a year, Handshake built an AI training business doing nearly $1 billion in gross annualized revenue. What are frontier labs buying? Garrett Lord joins us with the people building reinforcement lea...

    Full show notes and links

    [One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco Nov 08, 2026
    Show notes

    What do you assign when a coding agent can finish last year’s homework in one prompt? In the second run of Stanford’s CS146S, Mihail Eric brought open-source maintainers into the course. Students have to learn an unfamiliar repo, propose a change, and ...

    Full show notes and links

    Deep Dive: Anthropic S-1 Myths and Mythos — Jamin Ball, Altimeter Nov 07, 2026
    Show notes
    Controlling Biology - Fabian Theis, Helmholtz Munich Nov 06, 2026
    Show notes

    Fabian Theis has been one of the key players in the various iterations of the Virtual Cell concept and initiatives. It is not hyperbole at all to say that his lab has been pushing the frontier of algorithms to understand multi-scale, multi-modal (”mult...

    Full show notes and links

    ⚡ Behind Latent Space: A Rare Look Inside the Pod | AIEi Shanghai Nov 04, 2026
    Show notes
    ⚡️ The 2026 Software Factory Standard — Zach Lloyd, Warp.dev Nov 03, 2026
    Show notes
    Building Legal Agents When You Can't See the Data - Jacob Lauritzen, CTO of Legora Nov 02, 2026
    Show notes

    Legora can’t read a single trace of what its agent does for a lawyer. The data belongs to the law firm’s clients. How do you build and test an agent when you can’t see its work? Jacob Lauritzen is the CTO of Legora, one of the fastest-growing companies...

    Full show notes and links

    Using Agents for Long-Horizon Financial Work — Aman Singh, Arca Oct 31, 2026
    Show notes

    Arca head of AI Aman Singh joins Latent Space head of editorial Richard MacManus at AI Engineer New York, to discuss how Arca is building an AI-native wealth management firm. Singh explains Arca's architecture, which includes a custom harness and persi...

    Full show notes and links

    ⚡ Building ChatGPT for Finance — Joseph Kim, OpenAI's Head of Financial Services Oct 31, 2026
    Show notes
    How Anthropic ships the #1 LLM in the World safely: Separating the Brain from the Hands Oct 27, 2026
    Show notes

    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 ...

    Full show notes and links

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