I followed these steps, but just so happened to check on my mason jar 3-4 days in and saw tiny carbonation bubbles rapidly rising throughout.
I thought that may just be part of the process but double checked with a Google search on day 7 (when there were no bubbles in the container at all).
Turns out I had just grew a botulism culture and garlic in olive oil specifically is a fairly common way to grow this bio-toxins.
Had I not checked on it 3-4 days in I’d have been none the wiser and would have Darwinned my entire family.
Prompt with care and never trust AI dear people…
It used to mean things like false positives in computer vision, where it is sort of appropriate: the AI is seeing something that’s not there.
Then the machine translation people started misusing the term when their software mistranslated by adding something that was not present in the original text. They may have been already trying to be misleading with this term, because “hallucination” implies that the error happens when parsing the input text - which distracts from a very real concern about the possibility that what was added was being plagiarized from the training dataset (which carries risk of IP contamination).
Now, what’s happening is that language models are very often a very wrong tool for the job. When you want to cite a court case as a precedent, you want a court case that actually existed - not a sample from the underlying probability distribution of possible court cases! LLM peddlers don’t want to ever admit that an LLM is the wrong tool for that job, so instead they pretend that it is the right tool that, alas, sometimes “hallucinates”.