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Comment on How Quickly Do Large Language Models Learn Unexpected Skills?

TLDR: Let’s say you want to teach an LLM a new skill. You give them training data pertaining to that skill. Currently, researchers believe that this skill development shows up suddenly in a breakthrough fashion. They think so because they measure this skill using some methods. The skill levels remain very low until they unpredictably jump up like crazy. This is the “breakthrough”.

BUT, the paper that this article references points at flaws in the methods of measuring skills. This paper suggests that breakthrough behavior doesn’t really exist and skill development is actually quite predictable.

Also, uhhh I’m not AI (I see that TLDR bot lurking everywhere, which is what made me specify this).

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Venator@lemmy.nz ⁨3⁩ ⁨months⁩ ago

Also, uhhh I’m not AI

An AI would say that… 😂

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- gravitas_deficiency@sh.itjust.works ⁨3⁩ ⁨months⁩ ago
  Clearly, the AI is learning deception
  
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inspxtr@lemmy.world ⁨3⁩ ⁨months⁩ ago
re: your last point, AFAIK, the TLDR bot is also not AI or LLM; it uses more classical NLP methods for summarization.

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- far_university1990@feddit.de ⁨3⁩ ⁨months⁩ ago
  github.com/RikudouSage/LemmyAutoTldrBot readme say summarization is in summarizer.py which use sumy, specifically LSA which documented here
  
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- dirtySourdough@lemmy.world ⁨3⁩ ⁨months⁩ ago
  Natural language processing falls under AI though, and so do large language models (see chapters 23 and 24 of Russell and Norvig, 2021 aima.cs.berkeley.edu).
  
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dust_accelerator@discuss.tchncs.de ⁨3⁩ ⁨months⁩ ago

Also, uhhh I’m not AI

That’s exactly what an AI would say that got an emergent skill to lie

🤥

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- XTL@sopuli.xyz ⁨3⁩ ⁨months⁩ ago
  Or a model that picked up on a pattern of sources saying that.
  
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