Apparently not enough people want what you want, that is also democracy, accepting that things other people want can be prioritized,

That is true, but it also means that multiple parties does not solve the problem of the parent to my first comment in this thread which as "You can pick which of the two possibilities, neither of which is even close to your political views, will oppress you for the next 4 years.".

Yes, you get to say what you want, but that doesn’t mean you get what you want. With millions of people all saying something different, nobody gets exactly what they want.

Most relevant question in today's world seems to me how to create incorruptible governments?

Organizations are organizations in the end, so hopefully you'll find something relevant in the book too.

As far as i know Claude Code also uses LSP and tree-sitter to find things in your source code.

If you install LSP. AFAIR their first versions used some kind of treee/structure for easy search, but they found out that grep was better/similar but with less complications (they now ship some kind of grep).

People "happily" spend that on drugs, tobacco, and alcohol, so why not on porn.

True, but people are more willing to spend that kind of money $20-50 at a time than all at once.

Sign up for Apple Card and you can purchase on a payment plan.

True, maybe bundle it with an OF account?

Makes me think of Peter Tosh: "Anything you can do, I can do it better, I'm the toughest".

Anything you can do I can do better just makes me think of Annie Oakley https://www.youtube.com/watch?v=WO23WBji_Z0

Tool use score is 17.4% that seems really low, what does that mean?

I think Amazon is doing ok as the cloud where most customers run their LLM. I think a lot of companies are using e.g., Anthropic models on Bedrock so it lives inside their AWS cloud.

It’s better, it’s useful even for those who don’t have a deep knowledge of computers. I’d expect more AI users than programmers, than ms-word users, than excel users.

You are confusing "using AI" with "running LLM locally".

Probably over a year ago, when I first saw reasoning in action in a debugging session: it generated some code, ran it, could not explain the results, then said “let me add some print statements to debug”, reran the application, read the logs, and then stated “now I understand why it’s not working”. Plan, do, check, act in action, AI engineering its own context, and generating the missing information.