"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
What's your field of work? I work in IT and really try to find some day to day use cases where AI might help and I just don't seem to find any. The odd presentation or maybe a sprint review protocol, but nothing recurring or anything that feels game changing.
It's useful when programming for generating straightforward code and giving high-level advice on well-trodden topics, though you do have to check both. And typing in questions does help me clarify my thinking, so it also serves as that premium rubber duck. Nothing I couldn't do without it, but sometimes I do find it convenient and helpful.
What's your field of work? I work in IT and really try to find some day to day use cases where AI might help and I just don't seem to find any. The odd presentation or maybe a sprint review protocol, but nothing recurring or anything that feels game changing.