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submitted 7 hours ago by Joker@sh.itjust.works to c/ai_@lemmy.world
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[-] msage@programming.dev 2 points 6 hours ago

Yes, technically you are correct.

But current technology will not do that. LLMs are not going to get much better, we need more complex setups.

[-] Zaktor@sopuli.xyz 4 points 6 hours ago

Current LLMs generate poems that people prefer to human-written poetry. Current image generators win art contests. They don't need to get better to produce more appealing art than humans. Maybe not every time, maybe the people writing the prompts and filtering results are inherent to producing quality results, but there's not some extra trick needed for people to find their outputs aesthetically appealing.

[-] msage@programming.dev 1 points 5 hours ago

It's like the old 'million monkeys on million typewriters will eventually write Shakespear'.

[-] Signtist@lemm.ee 3 points 3 hours ago

It's "infinite monkeys on infinite typewriters" because a million would be far too small a sample size to expect Shakespeare. The monkeys aren't trying to make anything, they're just randomly hitting keys. For Shakespeare to come out, there would likely need to be more Monkeys than there are atoms in the universe. Conversely, we're getting something people enjoy from AI right now. No need to approach infinity. It's not what most people wanted AI to be used for, but it's succeeding at it, and current models have only been around for a few years. This isn't random chance happening upon something we like - this is a pattern-recognizing machine getting progressively better at recognizing the patterns we enjoy.

[-] msage@programming.dev 1 points 1 hour ago

Yes, because 'these monkeys' have been reading all of available content humans created, not really fair comparison to infinite scale of pure randomness.

I would argue against pattern machines getting better at recognizing patterns better, but I don't think it would change any minds.

this post was submitted on 15 Nov 2024
16 points (86.4% liked)

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