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chaidhat

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chaimongkol@ucla.edu

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Whenever I see a tz post, I want to remind ya'll that the `tzdata` package is using data from `eggert/tz` by Paul Eggert -- a crazy good UCLA professor. I took his course once and in the exams, he'd like to put in a question he didn't know the answer to himself.

CrankGPT 1 month ago

In the future, humans will just all be on hamster wheels generating power for our AI overlords.

As a product of the STEM post-SAT UC system (UCLA ‘26), I never personally experienced “middle school math” being taught or a lack of mathematical understanding.

I’ve had my fair share of classes which throw you into the deep end and not many which coddle you. Never seen any professor teaching middle school mathematics. A lot of professors started off with a vague idea of prerequisites, covered the basic ideas and usually go straight into the deep end with new material. It is up to the student to make sure they are acquainted with the prerequisites, go to discussions or office hours to ask TAs or the professor, or just drop the class and do it next quarter (without penalty). At least in my four years at UCLA, we have ample opportunity to do it and the TAs are 90% empathetic towards “stupid questions.”

So in my personal opinion, I think profs shouldn’t be wasting time teaching basic math and there are more than enough opportunities for the student to learn it at their time in the UC.

That's very creative. I don't understand why the other comments are so critical. I think it is a good idea to always keep in mind new vulnerabilities and this certainly is one that I never thought about.

It is unsafe for wires to be handling higher power than it was rated cause the wires act like very low ohm resistors. At some high enough I, you’re still gonna be generating power P=I^2R which is mainly thermal and melt the wires.

I think that in an AI-native company, the people asking the question should be using their own set of the AI to query the codebase, before coming to ask you. The problem that you describe seems to be more relevant to an organization which has not fully embraced AI yet.