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A $1 million ARC-AGI Prize has been launched by François Chollet and Mike Knoop to find alternative AI architectures for achieving AGI. The competition aims to generate programs that satisfy high-level specifications, emphasizing the need for more than Large Language Models (LLMs) for true reasoning and AGI progress.
ARC has been one of the most durable benchmarks; I'm curious to see how much progress this contest generates, and how closely it tracks improvement in general intelligence. https://t.co/i1nOkAZA7F
The recent podcast with @fchollet makes an excellent case for “current-gen LLM architectures don’t lead to AGI”. An LLM is the perfection of @nntaleb’s “intellectual-yet-idiot”. They’ve gotten the most prestigious, most expensive “Ivy League” education on the planet. And… https://t.co/mavrbZQKyB
ARC is cool, and I look forward to the results, but I expect near-term solutions will be: 1) within the span of existing techniques and/or 2) clearly overfit to ARC, thus showing this to be yet another benchmark that seems more general before it's solved than after https://t.co/0MNWqeaSuB
