Develop AI systems to efficiently learn new skills and solve open-ended problems, rather than depend exclusively on AI systems trained with extensive datasets
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I like this one. It looks like so much is going on, yet actually very little is going on. We have a very complex, noisy background, but that's not part of the challenge at all. You just need to replicate it to the output, and worry about the yellow and added red positions.
This puzzle also highlights the idea that any kind of fuzzy-learned or reinforcement-learned prediction model might not a great idea. Although you could do it, you'd probably need to generate a lot of synthetic data to have a model that safely replicates the input to the output at the right times.
Better instead to have a real, fixed representation of the input and output via a matrix or some other data structure / encoding. This way, replicating something from input to output is just a copy operation instead of a prediction operation.
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This one's interesting. Again, seeing a new pattern I've never seen before, but still quite easy to reason about. We can pick up on two forms in each example, one of which is replicated to the output
We're going to need to get an algorithm to figure this out...