
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. hugobowne.substack.com
| Publishes | Twice monthly | Episodes | 78 | Founded | 4 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | ScienceTechnology | |||

So 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 mostly viewe... more
One 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 model….
Vinc... more
> 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 gets re-review... more
There 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 product devel... more
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A long-form tech interview show focused on how AI is built in production. Episodes frequently explore agentic AI, evaluation frameworks, data stacks, and tooling for deploying reliable systems at scale. Guests include researchers, engineers, and practitioners who speak to practical workflows, governance, and the human-in-the-loop aspects of building robust AI products. A standout throughline is the emphasis on verifiable, observable AI workflows—from notebooks and data pipelines to evals and privacy—combined with thoughtful discussions about reliability, safety, and production-readiness. The format tends to pair hands-on demos with strategic reflections, making it valuable for listeners who want concrete takeaways for deploying AI responsib... more
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Vanishing Gradients launched 4 years ago and published 78 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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