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Getting 50% (SoTA) on Arc-AGI with GPT-4o

(redwoodresearch.substack.com)
394 points tomduncalf | 2 comments | | HN request time: 0.001s | source
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eigenvalue ◴[] No.40712174[source]
The Arc stuff just felt intuitively wrong as soon as I heard it. I don't find any of Chollet's critiques of LLMs to be convincing. It's almost as if he's being overly negative about them to make a point or something to push back against all the unbridled optimism. The problem is, the optimism really seems to be justified, and the rate of improvement of LLMs in the past 12 months has been nothing short of astonishing.

So it's not at all surprising to me to see Arc already being mostly solved using existing models, just with different prompting techniques and some tool usage. At some point, the naysayers about LLMs are going to have to confront the problem that, if they are right about LLMs not really thinking/understanding/being sentient, then a very large percentage of people living today are also not thinking/understanding/sentient!

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1. traject_ ◴[] No.40712352[source]
> It's almost as if he's being overly negative about them to make a point or something to push back against all the unbridled optimism.

I don't think it is like that but rather Chollet wants to see stronger neuroplasticity in these models. I think there is a divide between the effectiveness of existing AI models versus their ability to be autonomous, robust and consistently learn from unanticipated problems.

My guess is Chollet wants to see something more similar to biological organisms especially mammals or birds in their level of autonomous nature. I think people underestimate the degree of novel problems birds and mammals alone face in just simply navigating their environment and it is the comparison here that LLMs, for now at least, seem lacking.

So when he says LLMs are not sentient, he's asking to consider the novel problems animals let alone humans have to face in navigating their environment. This is especially apparent in young children but declines as we age and gain experience/lose a sense of novelty.

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2. infgeoax ◴[] No.40713640[source]
Agree. When I first saw ARC, my reaction was this could possibly be the kind of problem that gives us evolutionary pressure.