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Thats one of the first things Andrew Ng said in his old ML course

• deadbabe 2y ago
  This is why I personally just can’t find motivation to even pay attention to most AI developments. It’s a toy, it does some neat things, but there’s no problem I’ve heard of or encountered where LLM style AI was the only tool for the job, or even the best tool. The main use seems to be content creation and manipulation at scale, which the vast majority of companies simply don’t have to deal with. Similarly, a lot of companies talk about how they have tons of data, but there’s never any real application or game changing insight from it. Just a couple neat tricks and product managers patting themselves on the back. Setting up a good database is probably the peak of a typical company’s tech journey.
  • int_19h 2y ago
    Natural language processing is in obvious area in which LMs are consistently outperforming the best bunches of if-statements by a very large margin, and it has very broad applicability. E.g. I would argue that its translation capabilities alone make GPT-4 worthwhile, even if it literally couldn't do anything else.