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Notes -
Thanks, fixed.
More the former than the latter -- it's at least theoretically possible for LLMs to be produced without RLHF or targeted excision of data, even if the financials might put that off a decade. Even then, it's not necessarily over-reliance in general, but a caution that interactions with an LLM need to consider limitations that may not be obvious in an LLMs' case, where conventional search, archive, wiki walk, so on will have their own faults but be more consistently obvious (or at least obvious to different and longer-developed heuristics) about them.
That's fair, but a) I'm not convinced that those are our only two options, and b) I'm not sure we should be limiting ourselves to only taking any specific subcombination. But because of the unified pivot among major web indexers toward AIgen, and minimal efforts to better identify and promote primary or secondary sources by the remainder, along with a general triumph of the deletionists among curated libraries, we're idly getting pushed down that direction even as few people recognize that we're even making a choice.
That's fair. I mean, Madoka fandom might have surprising levels of support among Google developers for many of the same reasons that the company has a small but (relatively) vocal furry and therian community, but there's certainly stuff I know no one at Google cares about because no one cares about it.
Yeah, temperature and randomness seems to play a pretty sizable role. I've only included samples that seems consistent across multiple isolated runs on Gemini, but there's definitely cases where answers are just unreliable rather than unavailable. Prompting can drive it to dumb ends, too: Gemini originally got the correct numbers for the Lebanon Ohio B-50 crash, but when I followed up in the same chat with questions about the British Columbia B-36 crash it acted as though I was correcting its first claims, and merged the two incidents.
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