
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 | 72 | Founded | 4 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | ScienceTechnology | |||

I often see what I would consider to be b******t evals, especially in data, like write this dumb SQL. Almost every one of these dumb SQL questions that I’ve seen for benchmarks are just so either obviously easy or overwhelmingly adversarial. They jus... more
Our thesis is that AI is still just engineering… those people who tell us for fun and profit, that somehow AI is so, so profound, so new, so different from anything that’s gone before that it somehow eclipses the need for good engineering practice ar... more
There’s a company who spent almost $50,000 because an agent went into an infinite loop and they forgot about it for a month.
It had no failures and I guess no one was monitoring these costs. It’s nice that people do write about that in the database ... more
> It’s the agent writing the code. And it’s the development loop of writing the code, building testing, write the code, build test and iterating. And so I do think we’ll see for many types of software, a shift away from Python towards other programmi... more
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This show focuses on AI engineering, production systems, and the practical realities of building with large language models, agents, and data infrastructure. Episodes frequently explore durable and agentic AI, robust evaluation, context engineering, and the evolving tooling around deployment, observability, and multi-tool agent systems. Guests come from academia and industry and include researchers, startup founders, and practitioners who share hands-on lessons, case studies, and strategies for making AI systems reliable, scalable, and cost-effective. The format tends to center on concrete problems, evolving best practices, and the trade-offs of production AI, making it a strong resource for technical leaders, engineers, and data scientists... more
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Vanishing Gradients launched 4 years ago and published 72 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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