Sorry for harping on it, but I think this clearly reflects the difference between 2 approaches to storing knowledge, lossy but humongous, and lossless but limited.
LLMs - Lossy highly compressed knowledge which when prompted "hallucinates" facts. LLMs hallucinations are simply how the stored information is retrieved.
Memory (human in this case) - Extremely limited, but almost always correct.
To some degree *all* LLM's answers are made up facts. For stuff that is abundantly present in training data those are almost always correct. For topics which are not common knowledge (allow for a great variability) you should always check.
I've started to think of LLM's as a form lossy compression of available knowledge which when prompted produces "facts".
> Oberon also doesn't seem to be actively developed anymore
That's pretty much it, for maybe 10+ years now. There was a successor project BlueBottle with some promise, but it did not deliver. Later it was renamed to A2. Surprisingly, it did not help.
IMO the authors of BB/A2 bet heavily on XML/Java hype, and were trying to make Oberon more like Java. The result was something without much internal consistency and not very usable.
Not being able to use a major browser and not having the resources to write one from scratch did not help either.
Then some of the major figures of this project left. And that was it.
There are some hobbyists and some small businesses which use it for niche projects and that is all