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by symstym
3157 days ago
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I think this attitude of "we solved these problems decades ago!" is rather naive and sometimes arrogant. I think it's a fantastic talk, and that Bret Victor and Alan Kay are geniuses. But I feel that they both promote the idea that we definitively solved all these important computing problems years ago, and that people are just too clueless/resistant to catch on. Yes, I agree that many good ideas have been culturally "forgotten". But for the most part, the reason these great past ideas are not in use is because nobody has made them into a compelling product. Their attitude is comparable to someone saying "oh I invented the WWW in 1985 but nobody would listen to me", or "oh I invented Twitter before Twitter but users weren't enlightened enough to appreciate it". Almost all good ideas were already had before, but they are worth comparatively little, and unlikely to catch on, until they are reified into something that people want to use. I agree with them that probably more people should be working in certain areas (e.g. new ways of programming). But if they really had it all figured out, then why haven't they themselves made the amazing new programming language that we all use? What if it's the case that some of their ideas are good in theory, but are hard to translate into a usable product? Most people accept that execution>>idea in the world of startups, but don't acknowledge that the same may apply here. |
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I think you're overestimating the market's ability to select good ideas and specifically, promote long term scientific advances. A lot of variables affect what succeeds, e.g. marketing, coincidence, network effects etc.
You cannot leave everything to the market (i.e. what people adopt) and expect great science to come from it. Many times, great science (and maths) comes from the compelling drive of people to discover and create something new. These talks are encouraging that kind of research, and I don't see them saying they 'have it figured out', but rather pointing out ideas they think should be explored more extensively.