[bombadilo]

I mean, in this context I agree. But most people doing math in high school or university are graded on their working of a problem, with the final result usually equating to a small proportion of the total marks received.

[giaour]

This depends on the grader and the context. Outside of an academic setting, sometimes being close to the right answer is better than nothing, and sometimes it is much worse. You can expect a human to understand which contexts require absolute precision and which do not, but that seems like a stretch for an LLM.

[phatfish]

LLMs being confidently incorrect until they are challenged is a bad trait. At least they have a system prompt to tell them to be polite about it.

Most people learn to avoid that person that is wrong/has bad judgment and is arrogant about it.

[perfobotto]

This is supposed to be a product , not a research artifact.

[chongli]

But most people doing math in high school or university are graded on their working of a problem, with the final result usually equating to a small proportion of the total marks received

That heavily depends on the individual grader/instructor. A good grader will take into account the amount of progress toward the solution. Restating trivial facts of the problem (in slightly different ways) or pursuing an invalid solution to a dead end should not be awarded any marks.

[slushy-chivalry]

it choked because it didn't solve for `t` at the end

impressive attempt though, it used number of wraps which I found quite clever