Since LLMs literally can't learn, no. They're just increasingly tweaked to seem even more convincing.

How can something with no intelligence be smarter?

There's better integration with all sorts of other sources of truth beyond the LLM training, which makes it seem smarter.

Objectively + smarter, huh.

It is not alive and cannot really think, so I doubt it's smarter. It likely contains a bit more knowledge and a better interconnected network for it

Actually it just appears smarter because people are objectively dumber than they were 5 years ago. "AI" is actually stagnate.

I see someone's been suckling the OpenAI teet.

Our key finding is that by injecting information through an external synthetic data verifier, whether a human or a better model, synthetic retraining will not cause model collapse.

Yeah if you have a source of truth then your model is basically getting trained on that.

It’s like already having the answer

Our key finding is that by injecting information through an external synthetic data verifier, whether a human or a better model, synthetic retraining will not cause model collapse.

Lol, so to make a great model, they just need to have an even better one available first or a human who can verify every single thing it ingests.

Hmm, call me skeptical on this claim.

This assumes everything is valid on the external. If one slop cluster feeds off another - a slopveyor? - then there is nothing external for the validation hall-monitor to compare against. They're trusting another model's output as if it were gospel.

LOL OK