I think what we should really ask ourselves is: “Why do LLM experiences vary so much among developers?”
The simplest explanation would be “You’re using it wrong…”, but I have the impression that this is not the primary reason. (Although, as an AI systems developer myself, you would be surprised by the number of users who simply write “fix this” or “generate the report” and then expect an LLM to correctly produce the complex thing they have in mind.)
It is true that there is an “upper management” hype of trying to push AI into everything as a magic solution for all problems. There is certainly an economic incentive from a business valuation or stock price perspective to do so, and I would say that the general, non-developer public is mostly convinced that AI is actually artificial intelligence, rather than a very sophisticated next-word predictor.
While claiming that an LLM cannot follow a simple instruction sounds, at best, very unlikely, it remains true that these models cannot reliably deliver complex work.
The simplest explanation would be “You’re using it wrong…”, but I have the impression that this is not the primary reason. (Although, as an AI systems developer myself, you would be surprised by the number of users who simply write “fix this” or “generate the report” and then expect an LLM to correctly produce the complex thing they have in mind.)
It is true that there is an “upper management” hype of trying to push AI into everything as a magic solution for all problems. There is certainly an economic incentive from a business valuation or stock price perspective to do so, and I would say that the general, non-developer public is mostly convinced that AI is actually artificial intelligence, rather than a very sophisticated next-word predictor.
While claiming that an LLM cannot follow a simple instruction sounds, at best, very unlikely, it remains true that these models cannot reliably deliver complex work.