There was a lot of ML bullshit from the big data bubble ~ 2010 and before ChatGPT, together with all of the fuss about data scientists. But now it’s a 100 times worse.
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hayvan@feddit.nl 12 hours agoAI even ruined AI. Up until this insane hype train, ML models were specialized tools to achieve their tasks. Now the whole field is dominated by LLMs and slopgen bullshit.
oce@jlai.lu 2 hours ago
chronicledmonocle@lemmy.world 10 hours ago
Yeah that’s the annoying thing. Generative AI is actually really useful…in SPECIFIC situations. Discovering new battery tech, new medicines, etc. are all good use cases because it’s basically a parrot and blender combined and most of these things are rehashes if existing technologies in new and novel ways.
It is not a fucking good solution for a search engine replacement to ask “Why do farts smell?”. It uses way too much energy for that and it hallucinates bullshit.
wewbull@feddit.uk 1 minute ago
It’s good for optimisation problems, where you have a complex high-dimensional space to search and you’re solving for some measurable quality.
chiliedogg@lemmy.world 10 hours ago
Yeah. They solved protien folding with ML a few years back. And I like using it for things like noise removal in Lightroom.
But so much of it has been focused on useless (at best) bullshit that I just want the bubble to burst already.
piconaut@lemmy.ca 9 hours ago
I agree with the general sentiment here but just wanted to clarify that they definitely didn’t “solve protein folding” yet. Alpha fold is a significant improvement in structure prediction and it generated a lot of hype but some of the structures I’ve seen it put out are total nonsense.