Sure, my vacuuming shoes prototype is buggy as hell, but look, we're in the dial-up days
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More seriously, you know that a technology is important when it seems game-changing even in its most rudimentary implementation. If it has been around for a decade and it's still struggling to find a use case, then you have a different problem than "scaling"
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By the way, you know what's game-changing even in a rudimentary form? That's right, machine learning. You can build transformationally better products if you're armed with logistic regression and old-school CV techniques
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Yes. But in the old days we “humans” where in the lead. I am working in professional world of IT, a lot of people don’t know the essential. We are know dealing with black boxes, that we don’t really understand it. Take AI is doing profiling around the world and people find it ok.
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I mean where is the ethical vision here? In the dial-up era we know who we really are
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I’m reminded of the early days of cellphones, they were huge, unreliable and expensive. They still took off, because even a crap early version of a product with a lot of utility will show success.
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Christensen’s work suggests that the pattern to look for is “worse but better” — looks like a toy to incumbents, but useful to a niche market that was previously unserved. Craigslist starting as an email list, eBay starting by selling pez dispensers, etc.
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Like AVs
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