this post was submitted on 03 Sep 2024
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No Stupid Questions

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I've tried several types of artificial intelligence including Gemini, Microsoft co-pilot, chat GPT. A lot of the times I ask them questions and they get everything wrong. If artificial intelligence doesn't work why are they trying to make us all use it?

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[–] abbadon420@lemm.ee 1 points 2 months ago (2 children)

That is a very pessimistic and causal explanation, but you've got the push right. It's marketing that pushes I though, not necessarily tech. AI, as we currently see it in use, is a very neat technological development. Even more so it is a scientific development, because it isn't just some software, it is a intricate mathematical model. It is such a complex model, that we actually have study it how it even works,because we don't now the finer details.

It is not a replacement for office workers, it is not the robot revolution and it is not godlike. It is just a mathematical model on a previously unimaginable scale.

[–] Juice@midwest.social 4 points 2 months ago* (last edited 2 months ago)

"Pessimistic and casual"? You're gonna make me self conscious.

I'm an AI skeptic. Its too energy hungry and its not doing anything except scraping massive amounts of consumer data. No its not going to replace workers (because it doesn't work), but then again countless workers were already laid off so it already served its purpose there. Doesn't have to replace them, just has to purge them but in a systematic way, such that the Fed called for when they started raising interest rates.

Are you an AI Scientist/engineer? If so I'd love to hear more about your work. I'm in tech myself but def not on the bleeding edge of AI.

[–] Eranziel@lemmy.world 1 points 2 months ago

Machine learning has many valid applications, and there are some fields genuinely utilizing ML tools to make leaps and bounds in advancements.

LLMs, aka bullshit generators, which is where a huge majority of corporate AI investment has gone in this latest craze, is one of the poorest. Not to mention the steaming pile of ethical issues with training data.