this post was submitted on 09 Jan 2025
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It can reproduce an api. Can't solve actual problems. LLMs are completely incapable of innovation.
That's not really true though.. They come up with brand new sentences all the time.
It can but you to closely midwife it into doing so.
And yet the synthetic training data works, and models trained on it continue scoring higher on the benchmarks than ones trained on raw Internet data. Claim what you want about it, the results speak louder.
This is the peak, though. They require new data to get better but most of the available new data is adulterated with AI slop. Once they start eating themselves it's over.
You are speaking of "model collapse", I take it? That doesn't happen in the real world with properly generated and curated synthetic data. Model collapse has only been demonstrated in highly artificial circumstances where many generations of model were "bred" exclusively on the outputs of previous generations, without the sort of curation and blend of additional new data that real-world models are trained with.
There is no sign that we are at "the peak" of AI development yet.
We're already seeing signs of incestuous data input causing damage. The more that AI takes over, the less capable it will be.
Are we, though? Newer models almost universally perform better than older ones, adjusted for scale. What signs are you seeing?
The results aren't worth the expense. So-called "AI" is the biggest bubble since the great recession.
Nah, I'm still giving that one to the blockchain. LLMs are going to be useful for a while, but Ethereum still hasn't figured out a real use, and they're the only ones that haven't given up and moved fully into coin gambling.
Blockchain currencies aren't a bubble, they're a scam.