Behind the Craft
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Technology
Vanishing Gradients
by Hugo Bowne-Anderson
Today: #156 in Technology, Germany on our combined chart.
Today: #179 in Technology, New Zealand on our combined chart.
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Ranking history · New Zealand
History builds daily. We started tracking this show on the Technology, New Zealand chart recently, so the trend line appears after a second day of data.
View as table
| Date | Combined Rank | Apple Podcasts |
|---|---|---|
| Oct 12 | #179 | #179 |
Latest episodes
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The Science and Engineering of Agent Work
October 12, 2026 · 2 hr 22 minHilary Mason, CEO of Hidden Door, works with agents across software development and creative projects. Drawing on Richard Hamming’s distinction between science and engineering, she describes agents as “bringing the science back into the…
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The State of Agentic Data Science
October 5, 2026 · 59 minAgents can write the code, run the analysis, and produce a convincing explanation. How do you check that they’ve answered the right question, used the data appropriately, and reached a conclusion you can act on? I joined Gaël Varoquaux…
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How to Build a Coding Agent with Nico (Amp Code)
September 15, 2026 · 1 hr 53 min“It’s an LLM, a loop, and enough tokens.” —Nicolay Gerold, Amp Code So why does a coding agent forget your instructions, keep reading tiny pieces of a file, or struggle with an edit another model handles easily? Nicolay Gerold (Amp) joins…
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The Rise of the AI Scientist
September 4, 2026 · 1 hr 11 min“If you feel that a product is hard to eval, or you feel like, ‘I don’t even know how to eval this,’ it’s a strong smell that your product isn’t good.” — Hamel Husain, on AI product design An AI data agent tells you last quarter’s net…
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If Developers Build on Chinese Open-Weight Models, Who Leads AI?
August 3, 2026 · 1 hr 18 min“It would be sad if local models were not an option and there were only proprietary models. It’s good to have alternatives. Competition is good for business.” — Sebastian Raschka, on open-weight AI Kimi K3’s weights landed about an hour…
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Four Months Inside a Production AI Agent: What Real Users Changed
July 25, 2026 · 1 hr 5 minWhen ML/AI Engineer William Horton last joined me, Maven Assistant had reached its first external users the day before. The healthcare AI agent was available to 20 percent of Maven Clinic’s users, and the team had deliberately withheld…
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Building an Enterprise AI Agent for Healthcare
July 17, 2026 · 1 hr 9 minEvery capability in an agent needs its own evidence and release bar. A model-provider slip, an incorrect tool call, and a wrong fertility-benefits answer should not be held to the same pass rate. William Horton, Staff AI Engineer at Maven…
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What Claude Fable Means for Coding Agents
July 8, 2026 · 1 hr 2 minNicolay Gerold works all day and night on AMP, one of the most interesting coding-agent harnesses out there. If you’re building with coding agents, this conversation will help you understand: * when to trust the model, * when to build…
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The Future of Agentic Data Science
May 25, 2026 · 1 hr 5 minSo I think we’re really at a historical moment, and the opportunity is massive. Almost 15 years ago, we were promised that data science was going to be this incredible thing and create all this value for people. And I think nowadays it’s…
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Agent-Harness.ipynb*
May 20, 2026 · 1 hr 20 minOne thing that I don’t like about Claude is that you get into this weird mental state: oh, I think I trust the model. Let’s do the slot machine. Hit click, which puts you in an inactive mode of thinking. Maybe it’s better to use a worse…
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Agentic Engineering and the Lost Art of Verification
May 12, 2026 · 1 hr 32 min> I almost don’t read code now. My approach with Roborev is it’s like my code reader. The mantra is: Roborev reads every line of code that is generated. It gets read multiple times. And so, whenever I push up a pull request, the branch…
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Next Level AI Evals for 2026
April 23, 2026 · 54 minThere are a lot of reasons why we should do AI evals. For many companies doing AI evals is the way to build the feedback loop into the product development lifecycle. So it is like your compass. We’re using AI evals as a compass to guide…
About the show
A podcast for people who build with AI. Long-format conversations with people shaping the field about agents, evals, multimodal systems, data infrastructure, and the tools behind them. Guests include Jeremy Howard (fast.ai), Hamel Husain (Parlance Labs), Shreya Shankar (UC Berkeley), Wes McKinney (creator of pandas), Samuel Colvin (Pydantic) and more.
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