No point? There certainly is a point. The point is that I don't sound like AI now. Sure, one day, some AI lab might build models so that everyone has a model that's indistinguishable from them, and at that point, this method won't work.
But saying it's not worth it is like going back in time and telling a peasant to stop harvesting their crop manually because in 10 years someone will invent the tractor. I get trust of others now, which is something that is useful now. Any benefits I accumulate don't get undone.
Unless you mean they'd target me specifically... which I find very unlikely.
I caught myself watching an AI video on youtube a few days ago where the narrator's AI voice had deliberate instances of stammering and stuttering. It's definitely simple to have these introduce idiosyncrasies just through specific prompting.
from the AI developers end that has function beyond mimickery.
humans often stutter, stammer, uh uh , uhmm, hmmm, to keep the "ball, conch, etc." in thier posession but gain time to complete a response to edge case dialogue. mimickery none the less, but functional, rather than primarily deceptive.
Why would that matter? You still have to read, understand, and respond. If something is important and specific it takes longer to prompt iterations to generate my response. It's nice for spelling and grammar correction.
Yeah, we know it's all atoms and entropy and dust to dust and the heat death of the universe in the end, and nothing means anything. But during our short time living in human society and trying to find meaning in our existence, this cuts pretty deep to the heart of that quest.
90% of the final grade are in room examinations with proctors, maybe two sets of exams of midterms and finals that the vast majority of the final grade comes from. This is already how most of East and South Asia does it anyways and it’s probably the best.
For publications and theses, as long as the final results hold and can be replicated and validated, I don’t see why we shouldn’t allow the wholesale use of LLMs
> 90% of the final grade are in room examinations with proctors, maybe two sets of exams of midterms and finals that the vast majority of the final grade comes from.
This is really just a glorified undergraduate education, the real point of graduate school is to learn to do real-world relevant research. For the latter, I think LLM use will be accepted but there will be a heavy expectation on the author of making the result very easily digestable for human mathematicians and linking it thoroughly with the existing literature - something that LLMs are very much not successful at, but a student might be able to do quite well with a mixture of expert guidance and personal effort.
You are worthy. You will hone your skills in grad school and be able to command these AIs better than somebody who hasn’t struggled with hard problems for a long time.
Of course, though I still think remembering that people need to feel useful is important. E.g. you don't want to force someone into a job that may be useful but the person is feeling "why am I doing this, it's not needed." The goal is also not to fill time or a money quota. It's to do something helpful such that the person actually feels helpful.
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