AI and deep learning researchers, instead of trying to eke out another percentage point on latest perceptual benchmark, consider what architecture you might need to capture this, without extensive training data: New Caledonian crows create compound toolshttps://www.youtube.com/watch?v=xcN3WzeKDlE …
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Ok, but: once you have come up with this architecture from first principles/theoretical considerations/biological inspiration, showing that it's not bullshit means actually building something that works, and so far nobody has come close.
agreed, when it comes to general instellogence. deep learning or otherwise. that’s why we should be soul searching.
