You can't reduce everything to an objective finite field, or you can only measure what can be reduced to an objective finite field. Without 'everyday experiences' Ai requires a 'field trip' of multiple inputs to create the equivalent to positive reinforcement.
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Interesting..
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This thesis is very interesting! I read your website and I have a question. In the third question on your website, I think the left upper panel is dark gray, not black.(I think it's a mistake. I'm sorry if I made a mistake.)
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The dataset asks for SSO username and password. Cant you put the generator on GitHub?
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Hopefully this will lead to training an AI to accurately identify semantic similarities between objects. An AI that can identify that wheels + chassis + engine = car would be far more robust than one that just identifies pictures based on training.
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Skeptical though intresting...
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Excellent
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May b generalization as a means of learning is incomplete.
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