[tptacek]

I think there's a lot of overstatement about LLM capabilities throughout this piece, but I think it's generally directionally correct. There's an attitude of "LLMs are just going to directly perform business logic" or "data extraction and ingestion" or "calculations". The reality is that deterministic human-mediated code is going to do all that stuff (and AI is going to drastically amplify human leverage in building that code), and LLM agents will call into it as tools.

It's like the people who talk about how LLMs can't count the r's in "raspberry" and don't seem to understand that GPT5 can reliably e.g. work out a transformed probability distribution function from a given PDF by integration and derivation --- in part because frontier models are smarter but more importantly because they're all presumably just calling into CAS tooling.