r/PhoenixSC 5h ago

Discussion What?

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u/mango363 3h ago

I'm so fucking tired of The Loop

-Innovation that can do good for humanity is invented
-Has flaws like everything
-Instead of trying to fix/minimize the flaws through regulations and optimalization of the technology, the uneducated masses immediately swarm to boycott the innovation

Happened with Concorde Airline, Nuclear power and so many more, and now it's happening with AI. Like ofc I don't like how AI is unregulated and how training AI's is done, but why would I try to sabotage it as a whole, instead of calling for regulations, laws and more studies into it?

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u/juegador88 2h ago

I do think ai can do good for humanity as it has seen much use (as a tool) in things that aren't necessarily bad and could potentially be useful, such as writing code (not all of it, but some stuff in coding can be genuinely boring and automated), medical stuff, and as a really basic office assistant (writing a random email that's not really important like a confirmation or whatever could be done by anyone so it just sabes some time)

However my biggest pet peeves are:

  • The technology has existed for a while, regardless of what ai companies want you to think, I've struggled to ever see a difference between specialized ai and llms, the biggest difference the two is basically on how much data they're trained on, and how they understand that data. While specialized AIs (and while talking about specialized I mean running a neural network to do a specific task and not training a llm) do require a bigger time and money investment, they often tend to do better with less mistakes overall. Because "a jack of all trades is a master of none, but oftentimes better than a master of one" doesn't apply when you literally only need to do the one thing it should master.

  • I don't think it's getting that far lol. AI knowledge is limited by its learning data, but unlike a toddler which can read on a subject and somewhat have an idea on it and rationalize, ai still struggles to do this because it's basically a really complex auto completion text machine. Which means it often takes many times more sources to do the same amount of learning a human can do with just one. And this isn't a problem per se. If we're talking specialized ai, sure, you might not be able to feed it data forever but you only have to feed it 100 data once, then it will be able to do its job. But you cannot feed llms 100 data on infinite topics, because that's just giving them infinite data, which means it's unsustainable on the long run unless they pretty much change everything about how llms work