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It's easy to make a chessbot that only makes valid moves. Making a chessbot that plays optimally is hard.

But OP wasn't talking about solving optimalization problems, but understanding the rules of a business domain.


That wouldn't solve the core issue: if Claude makes a mistake during the MCP generaration, it would poison further agentic use.

It's adding another failure point to the process for no gain.


No, because as everything which is a part of a release process, you'd have tests.

"Graeber wrote about this astutely in his original 2013 Bullshit Jobs essay"

I wouldn't take his word too seriously. According to him, corporate lawyers, administrative assistants and compliance officers shouldn't exist.


Uhhh...what jobs do you think AI is going to be tasked with automating?

The most valuable non-foundation-model AI companies are...legal apps. This means he was right, not wrong.


Helped or overworked?

Or they're a prolog programmer.


That's an American problem though. In most of Europe you need a masters degree to teach highschool and that involves at least an undergrad level of understanding the subjects you will teach.

E.g. in Hungary I had a university CS professor that originally wanted to be a highschool teacher and a highschool physics teacher that originally wanted to be researcher. Their choice of degree didn't determine which outcome they got. The researcher and teacher curriculum had an 80%+ overlap.


I think it’s pretty common for states to require a masters degree to maintain your teachers certification.

You also have to pass a standardized test specifically on subject matter in order to get your teaching certificate.

The undergrad degree I did was split into thirds, one for subject matter, one for teaching pedagogy, and one for teaching your subject matter.


> If you can come up with a way to do math without reasoning, that would be, in a sense, even more interesting than AI.

Logic is just syntactic manipulation of formulas. By the early 90s logical reasoning was pretty much solved with classical AI (the last building block being constraint logic programming).


So you'll be able to show me the early-90s era program that can solve original IMO-level problems when supplied with the plaintext questions. Right?


if i presented math problems to the best english mathematicians in chinese, does that mean they arent able to reason? the plain text is an arbitrary constraint


The actual question is, if you presented an undergraduate-level calculus problem to a human who is considered intelligent but who was never given an "understanding" of math in school, would the human be able to solve it? Why or why not?

If so, what exactly would you call the process by which the intelligent human solves the math problem that he or she does not initially understand?

Whatever you call that process is what a reasoning model does. You don't have to call it "reasoning," of course... unless you want other people to understand what you're talking about.


Every public toilet eventually becomes and ad-hoc homeless shelter.


Perhaps in urban settings it does. In the suburbs it is not an issue. Also, it is not an issue if someone looks after the toilet every hour, vacating anyone who doesn't belong.


Covid boosted the sale of canned food, but people avoid the sugary syrup of canned fruits in non emergency situations.


Did they? How long have they been around?


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