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The GPT Era Is Already Ending (www.theatlantic.com)

submitted 2 weeks ago* (last edited 2 weeks ago) by [email protected] to c/[email protected]

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If this is the way to superintelligence, it remains a bizarre one. “This is back to a million monkeys typing for a million years generating the works of Shakespeare,” Emily Bender told me. But OpenAI’s technology effectively crunches those years down to seconds. A company blog boasts that an o1 model scored better than most humans on a recent coding test that allowed participants to submit 50 possible solutions to each problem—but only when o1 was allowed 10,000 submissions instead. No human could come up with that many possibilities in a reasonable length of time, which is exactly the point. To OpenAI, unlimited time and resources are an advantage that its hardware-grounded models have over biology. Not even two weeks after the launch of the o1 preview, the start-up presented plans to build data centers that would each require the power generated by approximately five large nuclear reactors, enough for almost 3 million homes.

https://archive.is/xUJMG

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[–] [email protected] 47 points 2 weeks ago (2 children)

This is exactly how we use LLMs at work... LLM is trained on our work data so it can answer questions about meeting notes from 5 years ago or something. There are a few geniunely helpful use cases like this amongst a sea of hype and mania. I wish lemmy would understand this instead of having just a blanket policy of hate on everything AI

the spotify thing is so stupid... There is simply no use case here for AI. Just spit back some numbers from my listening history like in the past. No need to have AI commentary and hallucination

The even more infuriating part of all this is that i can think of ways that AI/ML (not necesarily LLMs) could actually be really useful for spotify. Like tagging genres, styles, instruments, etc.... "Spotify, find me all songs by X with Y instrument in them..."

[–] [email protected] 44 points 2 weeks ago* (last edited 2 weeks ago)

The problem is that the actual use cases (which are still incredibly unreliable) don't justify even 1% of the investment or energy usage the market is spending on them. (Also, as you mentioned, there are actual approaches that are useful that aren't LLMs that are being starved by the stupid attempt at a magic bullet.)

It's hard to be positive about a simple, moderately useful technology when every person making money from it is lying through their teeth.

[–] [email protected] 4 points 2 weeks ago

This is to me what its useful for. So much reinventing the wheel at places but if the proper information could be found quickly enough then we could use a wheel we already have.