⚡️ Karpathy joined Anthropic today.

An easy headline is a big AI guy joins a big AI lab.

The actual story is why Anthropic, why now.

Look at what he's been publicly building the last few months. His LLM wiki. Auto research loops. Pushing the term context engineering over prompt engineering...

Then look at what Claude Code has been shipping. Skills. Sub-agents. Hooks. /goal. Project memory.

Same direction.

The thing sitting underneath all of it: the model isn't the product anymore. The wrapper around it is. Your data, your context, your workflows. Same model, totally different outcome depending on what's around it.

When people say "data is the moat" they usually picture some giant enterprise database. For normal builders, it's way smaller and way more practical. Your meeting notes. Your internal SOPs. Your customer calls. Your style guides. Your naming conventions. The stuff that makes your work actually yours.

If Claude can read all of that and use it the right way, the model gets smarter and more useful to you specifically every single week.

That's the real lock-in.

Not because you can't switch models, you can. But because the longer you build context inside one operating system, the less you want to leave it.

So worth thinking about how you're feeding your AI before worrying about which model you're using.

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