The real lesson should be, use an LLM when an educated guess is good enough. They're probabilistic systems doing best-fit math. If guessing is OK or even reason

The real lesson should be, use an LLM when an educated guess is good enough. They're probabilistic systems doing best-fit math. If guessing is OK or even reasonable (in a feedback loop with an actual person, for example) then an LLM can be useful. If guessing is not OK, if you need algorithmic rigidity, just write code, don't introduce D&D dice rolls into your system. Example: Should we use "AI" for authentication and authorization? For logging in: No. For checking authority for an operation: No. For determining the likelihood that the IP address a login attempt is coming from is part of an attack pattern: Yes!