"Fake it till you make it may work in Silicon Valley, but for the rest of us, I think once bitten twice shy may be more appropriate for AI," MacroStrategy Parternship's Ferguson told Bloomberg.
If you bother to RTFA then you’ll see that they mean it’s useless from investor perspective because it uses a lot of energy, and there are limited practical applications for it. AI services that companies like MS and Google are offering are being subsidized by these companies, and they’re subsidizing them because they expect that they will be able to make them profitable somehow going forward. If they can’t then the bubble will burst because investors and shareholders aren’t gonna keep dumping cash into this tech. The hype cycle around AI isn’t new either, we’ve been here many times https://en.wikipedia.org/wiki/AI_winter
I think the tech does have legitimate uses, and that it will continue improving over time. I’m just pointing out that it’s being massively oversold right now. I actually think it’s better if the bubble bursts early on in the hype cycle, and then people can focus on figuring out how to apply this tech where it actually works well.
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If you bother to RTFA then you’ll see that they mean it’s useless from investor perspective because it uses a lot of energy, and there are limited practical applications for it. AI services that companies like MS and Google are offering are being subsidized by these companies, and they’re subsidizing them because they expect that they will be able to make them profitable somehow going forward. If they can’t then the bubble will burst because investors and shareholders aren’t gonna keep dumping cash into this tech. The hype cycle around AI isn’t new either, we’ve been here many times https://en.wikipedia.org/wiki/AI_winter
There are many practical uses, and more to be discovered, but I think most of them won’t be user-facing.
I think the tech does have legitimate uses, and that it will continue improving over time. I’m just pointing out that it’s being massively oversold right now. I actually think it’s better if the bubble bursts early on in the hype cycle, and then people can focus on figuring out how to apply this tech where it actually works well.