Comment by vlovich123

21 hours ago

Took me a while to find what you were referring to by gram. Arxiv paper from 9 days ago that's not properly indexed by search engines.

(G)enerative (R)ecursive re(A)soning (M)odels. They really wanted the acronym.

https://arxiv.org/html/2605.19376v1

I prefer GRRM but then that would imply a habit of not actually getting a final result

That acronym is unacceptable. It's going to impede discussion and cause confusion for a long time if it doesn't die off immediately.

  • We're still talking about "zero-shot prompt" when the saying "X-shotted" ["One-shotted the difficult maze"] was already a well-established thing in daily vernacular. So now you constantly have to readjust your brain because whenever you read "zero-shot prompt" your mind goes "uh.. a zero-try attempt is a paradox and cannot exist".

    • Zero-shot, one-shot, few-shot etc. refers to how many examples you have to give.

      It comes about from machine learning algorithms that could pick up on patterns from a small number of examples. Few shot means only a handful of examples to recognize something. One shot means only a single example. And zero shot means no examples. Of course, you have to indicate what you want somehow, but in the case of an LLM that's the prompt. Once LLMs were trained for instruction following, you didn't have to give any examples, you could just give a prompt describing what you want, and that was a zero-shot.

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    • > a zero-try attempt is a paradox and cannot exist

      Have you tried applying L'Hôpital's Rule?

    • Zero shotting: there wasn't even an attempt.

      Minus one shotting: you have to make one attempt for there to have been no attempt, and two attempts for there to have been one attempt.

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  • It's just an acronym. It's not gonna impede anything. Think of it as just a name - you either know what it refers to or you don't, you don't understand something from it's name, or it's acronym.

I propose GRIM: Generative Recursive Indeterministic Impression Machine.

Random plug for Kagi, which got it for 'GRAM model llm' on the first try ;)