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All of these speculative use cases mentioned in the article and thread, while certainly possible using AI, were always possible before and sometimes done quite
by kjkjadksj 2y ago
All of these speculative use cases mentioned in the article and thread, while certainly possible using AI, were always possible before and sometimes done quite well too. So why weren't they used in excess before? A lack of a strong business proposition, its that simple. If you were able to get really clear, actionable information from these metrics, everyone would have been collecting them decades ago. Clearly, the business case is too insignificant to be worth while, but that's not going to stop companies from riding the AI wave and shilling junk as long as they can get in a room with a nontechnical corporate software buyer. There's always good money in selling the latest tool to hammer a nail like one always could have.
- Retric 2y ago> were always possible before It’s a question of viability not possibility here. Dropping costs by 95+% dramatically changes things. So, you can “make a strong business proposition” for stuff that was never going to happen with the old method. Consider the economics around scam phone calls when long distance phone calls cost more than 2$/minute. They still happened but it was vastly more targeted and therefore orders of magnitude less common. Now apply that same logic to facial recognition etc and suddenly new types of surveillance will become commonplace.
- kjkjadksj 2y agoCosts were already low and machine learning is not cheaper than just doing something like a principle component analysis or LDA. States using 1990s hardware were already able to determine you didn't already have a drivers license in their database of millions of drivers.