This seems to be biased heavily towards products that look like an LLM. And yes, only a small number of those work. But that's because if your product is a thing I chat with, it immediately is in competition with ChatGPT/Claude/Grok/etc, leading to everything the article expressed. But those are hardly the only use cases for LLMs, let alone AI (whatever people nowadays mean by AI)
To name some of the obvious counter-examples, Grammarly and Deepl are both AI (and now partially LLM-based) products that don't fit any of the categories in the post, but seem pretty successful to me. Lots of successful applications of Vison-LLMs in document scanning too, whether you are deciphering handwritten text or just trying to get structured data out of pdfs.
To name some of the obvious counter-examples, Grammarly and Deepl are both AI (and now partially LLM-based) products that don't fit any of the categories in the post, but seem pretty successful to me. Lots of successful applications of Vison-LLMs in document scanning too, whether you are deciphering handwritten text or just trying to get structured data out of pdfs.