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Ask HN: Have LLMs Plateaued?

4•leandrobon•2h ago
Have we hit a point where most advances come in the form of new integrations, or applications, rather than outright better models? How much more productivity will we be able to squeeze from them?

Comments

AnimalMuppet•1h ago
I'm not answering your actual question, but... even if they have totally plateaued technically, there's still some more improvement left to be had from people learning how best to use them (and when not to).
wmf•1h ago
Obviously not. And if you look at the things LLMs do poorly there's clearly plenty of room for improvement.
kazinator•26m ago
LLM shill argument in a nutshell: "while there is room for improvement in catalytic converters, they are improving practically by the month! Within a decade, internal combustion engines will put out air that is so breathable, it could be used for ventilating a maternity ward."
kazinator•28m ago
I suspect you could plug GPT4 from 2023 into the integrations and workflows and it would be about the same.

The "models are getting better with every breath you take" is just an unproven claim that the AI companies want everyone to believe and want the evangelists to use in every argument.

The AI companies have to put out new models regularly, not because of any improvement but because the failure to do so will signal stagnation. That's how it works in the tech industry. It's not like the wine or cheese industry where you just follow your hundreds-of-years-old recipe exactly and people buy the product because of that.

kimjune01•1m ago
nowhere near plateau, but right at the inflection point of diminishing returns imo

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