Could AI solve this puzzle? (ARC-Game)

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#ai #arc #puzzle
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1 окт 2024

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Комментарии : 9

@volotat 2 года назад

There is an easier way to fill space with color by dragging it from the palette :) Thanks for such an amazing video. It was a pleasant surprise to see it here and in ML news.

@harumambaru 2 года назад

What a pleasure that authors are involved in natural development of their work.

@eladwarshawsky7587 2 года назад

I have not thought about this too much, but I feel like generalized Procrustes could be used as a baseline for solving some problems, esp. where certain problems demonstrate patterns like symmetry since the solvers explicitly solve for that.

@ricardomann2214 2 года назад

Im subscribin. You need P r o m o S M!!

@eladwarshawsky7587 2 года назад

What about if one used the image to generate the weights of an MLP that can predict the values at each pixel of the predicted output shape? Seems like it could be an effective solution, but I'm interested in what you guys think

@MarcAyouni 2 месяца назад

Human inductive biases. All of them.

@jhanschoo 2 месяца назад

If this is your reasoning as to why AI solutions today can't perform on this benchmark, it seems to me that predicting the next word in a conversation that LLMs are good at seem to be a better example of human-biased inductive reasoning.

@MarcAyouni 2 месяца назад

@@jhanschoo If an LLM can't count the number of r in strawberry, then how can it zero shot learn abstract concepts like : inside, moving towards, symmetry, path, behind, etc... ? We are asking a model to infer one-shot concepts we are born with. It's a pretty difficult task. I think it will be solved with sufficient pretraining; but then it won't prove that model is intelligent.