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Going by the current framework, solve any problem, we have to formulate a objective fn, which is the optimised, in case pattern recognition, it is relatively easy, how to form a objective fn for abstract thought is a million dollar question?
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Do we yet have agreement on what constitutes abstraction and reasoning? It doesn't seem to be formal logic, while "analogy" is underspecified.
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We need mathematical formalism for abstraction in AI & computer science in general (not category theory), which we will have "soon" (on the scale of scientific progress)
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What is abstraction anyways? A higher-level representation that's invariant to small perturbations/irrelevant details? Seems like a lot of recent work using the latent space of autoencoders for decision making in RL would then be on the right track
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Who invest in AI to create human brain ?
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I think a good world model that can be improved without rewards is important. Also probably a hierarchical layout so we can choose actions on small and large timescales and plan ahead based on the goal and the world model.
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@fchollet: I believe that Level 0 to 5 with 80/20 with#MechanicalTurk would the best tactic with a holistic strategy, validation test sets, and brute-force training set with random sample.#USA1 42#NWO How about anti-AI training to break down the AI?Thanks. Twitter will use this to make your timeline better. UndoUndo
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At @PROWLER_IO we couldn’t agree more. We use abstraction and reasoning to make decisions using our
#VUKU platform using research by@jameshensman @dongho__kim@hbouammar@enriquedecote & their teams.Thanks. Twitter will use this to make your timeline better. UndoUndo
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