[codingdave]

There is a middle ground where LLMs are used as a tool for specific use cases, but not applied universally to all problems. The high adoption of ChatGPT is the proof of this. General info, low accuracy requirements - perfect use case, and it shows.

The problem comes in when people then set expectations that a chat solution can solve non-chat problems. When people assume that generated content is the answer but haven't defined the problem.

We're not headed for AGI. We're also not going to just say, "oh, well, that was hype" and stop using LLMs. We are going to mature into an industry that understands when and where to apply the correct tools.