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The most existentially terrifying thing about it is that it's not about education or overall intelligence, but personality. And even then, there's an emotional edge to it that may catch people in particularly vulnerable states.
Like a virus is a load of DNA being driven by a questionably alive entity, AI is a load of emotional signal being driven by a questionably conscience one (though I still argue not, I think the analogy stands). Education and intelligence can help ward it some, but people are complex and there's no telling what subsystems or random strings it manages to hook onto.
I have a background in CS and AI (from the early 00's, don't be too impressed) and have friends in linguistics. ML and more specifically LLMs have been on my radar for a long while and I am aware of their possible uses, but I'm tired of having to hedge every conversation around it. What we need to do is cultivate a strong social and cultural boundary for ourselves.
I heard someone say that the only thing AI should be used for is stuff people never should have been doing in the first place, things like catching spam/phishing out of your email. GenAI is just pure abomination.
I think it's more impressive from back then. Nowadays there are so many people doing AI studies that it seems like it's just the "generic and uninspired" degree choice, and since it's a new tech you can pick any little thing to hone in on for a dissertation. Maybe i'm wrong?
Fucking this!
I'm getting a CS degree now and even though the math still eludes me quite a bit, just understanding that LLMs are essentially a bunch of Linear Algebra and Matrix Multiplication calculations to weight a series of vector scored words to approximate desired output demystifies the whole thing and makes me very angry that this is what is being sold as the next big thing.
It's not. It's an impressive milestone in Reinforcement Learning achieved in 2017. The use cases and prevalence of "AI" has less to do with it being an impressive piece of tech, and more a reflection of the failures of humans, specifically humans in the tech sector.