Yeah. At this point LLMs are what people are referring to 95% of the time when they say AI. If one comes up with the cure for cancer, it’s because we already have it and it picked it up in the last data scrape.
Transformers and diffusion models are not the same, even if they use related math
Edit: By the magic of advanced mathematics, every Turing complete structure can be rewritten into any other Turing complete structure with no loss of function or change in behavior
So the logic “remove one” will remove all of modern computing because the AI companies are not giving up their models. If they have to start pretending they aren’t neural network anymore, then they will.
And if you DON’T rewrite, then you’re back to them actually being different again
This is a dumb take. You can use a more general term like large dataset generative machine learning. Legislation needs to understand the different risks between the different implementations to do any good.
Yeah. At this point LLMs are what people are referring to 95% of the time when they say AI. If one comes up with the cure for cancer, it’s because we already have it and it picked it up in the last data scrape.
And someone wins the coveted Nobel Prompt Prize.
And in 4.5% of the remaining 5% they reference generative AI
Then 0.45% of the remain they’re referring to NPCs in games.
0.045% of the time they’re talking about Weird Al.
0.0045% of the time they’re talking about a ouija board
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LLMs is a subset of generative AI, but an image generator as an example is not a LLM
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Transformers and diffusion models are not the same, even if they use related math
Edit: By the magic of advanced mathematics, every Turing complete structure can be rewritten into any other Turing complete structure with no loss of function or change in behavior
So the logic “remove one” will remove all of modern computing because the AI companies are not giving up their models. If they have to start pretending they aren’t neural network anymore, then they will.
And if you DON’T rewrite, then you’re back to them actually being different again
https://infosec.pub/comment/23830616
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This is a dumb take. You can use a more general term like large dataset generative machine learning. Legislation needs to understand the different risks between the different implementations to do any good.
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And that’s why science research should go private. Can’t risk slop machines stealing the breakthrough.