Newsletter Archive

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What do all of these massive OpenAI deals even mean?

How AI models learned to stop being weird and start being helpful.

How machines learn from data, what happens after you vibe code an app, and how to build AI products that don't embarrass you in production.

All about AI evals, plus how Braintrust helps companies build better AI apps.

Things you should know as a vibe coder that will make your app actually work / not die.

And why building AI products requires new forms of infrastructure for developers.

How computers learn patterns from data: the foundation for everything from stock price prediction to ChatGPT.

Why AI models hallucinate, why building MCP servers is hard, and the scaling law driving trillion-dollar AI bets.

AI experts all HATE this one law!!!

A brief history of the protocol, why it can be hard to use, and how FastMCP came to be.

AI models inherently make stuff up. What can we do about it?

A beginner’s guide to AI model architectures, why open source licenses aren’t as simple as “free to use,” the evolving role of product documentation, and what Databricks is really building.

Or perhaps more accurately: what does Databricks NOT do?