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AI’s recursive self-improvement might not come so quickly after all
(www.technologyreview.com)
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this post was submitted on 13 Sep 2026
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Proof?
The output of a statistical model cannot contain more information than what it already had.
All that an AI has to do to disprove that claim is pay someone to weigh one orange through fivr. So either your claim is wrong, or LLMs as they exist now are no longer statistical models. Go ahead and move the goal post if you want, my complaint was about your overly broad claim.
I think their point is the LLM didn't contain the information on the weight of that orange, it had to outsource it.
I picked the way in which an AI model (as the exist now) could most trivially produce a piece of novel (and deliberately trivial) information.
I wasn't worried about whether the credit could fairly be attributed to it. We're talking about whether they can produce information with which to grow their knowledge. Moral credit for the growth of their knowledge is outside the scope of the discussion.
So you think that AI increasing the capability of new AI just involves training a new model on the output of the old model? Or are you pretending to be a science?
"That" is not what evolution did.
I want to believe this but every biology major I talked to is like "that's the middle-school explanation of evolution" and mention the actual process had more things going on.
It's entirely possible to improve current AI using only information available to us right now. Once that well runs dry, current AI is in theory capable of running experiments and training on their results if we give it a harness to do that. This gives it access to new information. Could it succeed doing this? Unclear, but it is capable of trying. How do you think we discover AI improvements? Divine inspiration? No, we follow a relatively simple research loop.
you're drowning in slop my man
You assume too much. I don't even use AI, I just keep up with the research. I haven't been wrong so far.