Nowadays most of the success in AI is really machine learning or "narrow" artificial intelligence, not general purpose AI. But while it is easy to dismiss narrow AI and believe in our own superiority, AI that can beat humans at different domains has enormous implications. At one point, instead of training AI, we won't be needed.
Bayesian method states that you can learn any problem as long as you had a starting probability and enough cycles to update the probabilities.
Our Intelligence, as computers and AI is based on error correction and refinement of hypotheses through iterations.
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Business Administration and Management Student | Blockchain, DEFI & Web3 | Social Worker | "Fix the money & fix the world."
In this brilliant book, Jeff Booth explains his vision of the near future with the influence of technology on it.
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