Tag Archives: machine learning

[liveblog][AI] AI and education lightning talks

Sara Watson, a BKC affiliate and a technology critic, is moderating a discussion at the Berkman Klein/Media Lab AI Advance. NOTE: Live-blogging. Getting things wrong. Missing points. Omitting key information. Introducing artificial choppiness. Over-emphasizing small matters. Paraphrasing badly. Not running a spellpchecker. Mangling other people’s ideas and words. You are warned, people. Karthik Dinakar at […]

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[liveblog][AI] AI and education lightning talks

Sara Watson, a BKC affiliate and a technology critic, is moderating a discussion at the Berkman Klein/Media Lab AI Advance. NOTE: Live-blogging. Getting things wrong. Missing points. Omitting key information. Introducing artificial choppiness. Over-emphasizing small matters. Paraphrasing badly. Not running a spellpchecker. Mangling other people’s ideas and words. You are warned, people. Karthik Dinakar at […]

The post [liveblog][AI] AI and education lightning talks appeared first on Joho the Blog.

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[liveblog][AI] AI and education lightning talks

Sara Watson, a BKC affiliate and a technology critic, is moderating a discussion at the Berkman Klein/Media Lab AI Advance. NOTE: Live-blogging. Getting things wrong. Missing points. Omitting key information. Introducing artificial choppiness. Over-emphasizing small matters. Paraphrasing badly. Not running a spellpchecker. Mangling other people’s ideas and words. You are warned, people. Karthik Dinakar at […]

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[liveblog] AI Advance opening: Jonathan Zittrain and lightning talks

I’m at a day-long conference/meet-up put on by the Berkman Klein Center‘s and MIT Media Lab‘s “AI for the Common Good” project. NOTE: Live-blogging. Getting things wrong. Missing points. Omitting key information. Introducing artificial choppiness. Over-emphasizing small matters. Paraphrasing badly. Not running a spellpchecker. Mangling other people’s ideas and words. You are warned, people. Jonathan […]

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[liveblog] AI Advance opening: Jonathan Zittrain and lightning talks

I’m at a day-long conference/meet-up put on by the Berkman Klein Center‘s and MIT Media Lab‘s “AI for the Common Good” project. NOTE: Live-blogging. Getting things wrong. Missing points. Omitting key information. Introducing artificial choppiness. Over-emphasizing small matters. Paraphrasing badly. Not running a spellpchecker. Mangling other people’s ideas and words. You are warned, people. Jonathan […]

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[liveblog] AI Advance opening: Jonathan Zittrain and lightning talks

I’m at a day-long conference/meet-up put on by the Berkman Klein Center‘s and MIT Media Lab‘s “AI for the Common Good” project. NOTE: Live-blogging. Getting things wrong. Missing points. Omitting key information. Introducing artificial choppiness. Over-emphasizing small matters. Paraphrasing badly. Not running a spellpchecker. Mangling other people’s ideas and words. You are warned, people. Jonathan […]

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Predicting the tides based on purposefully false models

Newton showed that the tides are produced by the gravitational pull of the moon and the Sun. But, as a 1914 article in Scientific American pointed out, if you want any degree of accuracy, you have to deal with the fact that “the earth is not a perfect sphere, it isn’t covered with water to […]

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Predicting the tides based on purposefully false models

Newton showed that the tides are produced by the gravitational pull of the moon and the Sun. But, as a 1914 article in Scientific American pointed out, if you want any degree of accuracy, you have to deal with the fact that “the earth is not a perfect sphere, it isn’t covered with water to […]

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Predicting the tides based on purposefully false models

Newton showed that the tides are produced by the gravitational pull of the moon and the Sun. But, as a 1914 article in Scientific American pointed out, if you want any degree of accuracy, you have to deal with the fact that “the earth is not a perfect sphere, it isn’t covered with water to […]

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Alien knowledge

Medium has published my long post about how our idea of knowledge is being rewritten, as machine learning is proving itself to be more accurate than we can be, in some situations, but achieves that accuracy by “thinking” in ways that we can’t follow. This is from the opening section: We are increasingly relying on […]

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