What kind of "bigger labs" have attempted it and how much was their training budget?
It's rather surprising to me that neural nets that can learn to win at Go or Chess can't learn to solve these sorts of tasks. Intuitively would have expected that using a framework generating thousands of playground tasks similar to the public training tasks, a reinforcement learning solution would have been able to do far better than the actual SOTA. Of course the training budget for this could very well be higher than the actual ARC-AGI prize amount...
It's rather surprising to me that neural nets that can learn to win at Go or Chess can't learn to solve these sorts of tasks. Intuitively would have expected that using a framework generating thousands of playground tasks similar to the public training tasks, a reinforcement learning solution would have been able to do far better than the actual SOTA. Of course the training budget for this could very well be higher than the actual ARC-AGI prize amount...