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GPT-3 is based on in-context learning. It’s common wisdom one can hope that bigger models will yield better in-context capabilities. And indeed, this holds true, in the case of GPT-3 175B or "GPT-3". Neverthless GPT-3 is more powerful than it's predecessors. In some of the tasks, GPT-3 failed miserably. This might be due to the choice to use an ...


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Pattern-matching is a classical sub-problem of AI systems. Read about the Rete algorithm, or pattern matching in Prolog. Or about Unification. Or about the Warren Abstract Machine. Or about topological data analysis like in GUDHI. A typical example is the CLIPSrules expert system shell. Or the match expression construct of Ocaml or in Haskell. In some ways, ...


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There is an interesting discussion the progress achieved in this field by far in the paper of Francois Chollet - https://arxiv.org/abs/1911.01547. At the present time, many architectures are able to outperform the human in particular tasks, because they have a strong priors coded into them and ability to process a huge amount of data. However, when it comes ...


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Upgrade This film depicts a very plausible near future when drones oversee our lives (e.g. the police use them to fight crime) and common people possess self-driving cars. This is definitely one of the best science fiction movies I have ever watched in my entire life, and I have watched many, such as 2001, Blade Runner, or The Matrix. In fact, these are the ...


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Yes, it must be taken seriously. There are two main reasons: There is no sharp argument or no-go theorem against the existence of a singularity. It's unclear how fast the singularity could develop, but many authors given a non zero probability to this event (see this reference, it contains different points of view on the singularity by leading experts). The ...


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