In the post about GPT-4V, I mentioned the paper “Building Machines That Learn and Think Like People” (https://arxiv.org/abs/1604.00289) by Brenden Lake, Tomer Ullman, Joshua Tenenbaum, and Samuel Gershman. In that seminal paper the authors suggested that truly human-like learning and thinking machines will have to reach beyond current engineering trends in both what they learn, and how they learn it.
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