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The most obvious example is AlphaGo playing against itself. In the original version of the program, developed by Google Deep Mind, the AI program was trained on a data set including thousands of previously played matches. This was enough to go toe-to-toe with the leading human Go player, Lee Sedol. However, the real breakthrough came with AlphaGo playing games not against human players—but against itself. It was then able to play a functionally infinite number of games, turning the cultural ratchet on its own ideas.
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It's executives and their shareholders attempting to grow company profits, dividends and their own compensation by introducing a new form of automation that not only justifies cost-cutting, but operates by lessening the economic value of the human-authored works that are used for 'AI training', while fracturing worker solidarity by encouraging them to collaborate with genAI "copilots" rather than each other.
Epic Boss Tim Sweeney Is Right to Call genAI a Political Topic - It's a Mechanism of Class War
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Excited to start using this @p5xjs face segmenter, built by @jonathandinu on libs by @xenovacom, with my #CreativeCoding students. @Dribnet had the A+ idea of using this to add semantics to the classic "Custom Pixel" (Chuck Close) assignment. (cc @ml5js) https://t.co/WMr2MsGguj https://t.co/eUcckxz8pC https://t.co/klzra3eevW
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...catch up on these, and many more highlights
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