People developing local models generally have to know what they’re doing on some level, and I’d hope they understand what their model is and isn’t appropriate for by the time they have it up and running.

Don’t get me wrong, I think LLMs can be useful in some scenarios, and can be a worthwhile jumping off point for someone who doesn’t know where to start. My concern is with the cultural issues and expectations/hype surrounding “AI”. With how the tech is marketed, it’s pretty clear that the end goal is for someone to use the product as a virtual assistant endpoint for as much information (and interaction) as it’s possible to shoehorn through.

Addendum: local models can help with this issue, as they’re on one’s own hardware, but still need to be deployed and used with reasonable expectations: that it is a fallible aggregation tool, not to be taken as an authority in any way, shape, or form.

How about: Popularizing the idea of the wall in the first place, going mask-off calling illegal immigrants “murderers and rapists”, the “Muslim Ban” on air travel, moving the US embassy to Jerusalem, employing white nationalists as staffers, packing the supreme court with extreme conservative justices, giving permanent tax cuts to the rich, expanding the presence of immigrant concentration camps, cozying up to foreign dictators, stating he wanted generals like Adolf Hitler’s behind closed doors when his own generals refused to nuke North Korea and blame it on someone else, egging on a far-right insurrection attempt, directly pursuing strikes and assassination attempts against middle-Eastern military generals and diplomats, ending the Iran nuclear deal, calling climate change a Chinese hoax, calling Covid the “China virus”, spreading vaccine disinformation until one was developed before the end of his term, trying to start a trade war with China, discrediting his chief medical advisor on factual statements about Covid, saying Black Lives Matter protestors were “burning down cities”, wanting to designate Antifa as a terrorist organization, declaring “far left radical lunatics” part of his “enemy from within”, being an avowed friend of Epstein, sexually assaulting over a dozen women and underage girls, being a generally abusive sleazebag, also funding a genocide (Israel has always been ethnically displacing Palestinians), also building the wall, also not implementing healthcare reform (and being against what we have), also not protecting abortion rights (+ setting up the conditions that led to their erosion; see supreme court point above), and also denigrating anti-genocide protestors (but not as harshly since he wasn’t the one in charge when it happened).

I guess he’s not a cop though, so there’s that.

(minor edits made for grammar/spelling)

On the whole, maybe LLMs do make these subjects more accessible in a way that’s a net-positive, but there are a lot of monied interests that make positive, transparent design choices unlikely. The companies that create and tweak these generalized models want to make a return in the long run. Consequently, they have deliberately made their products speak in authoritative, neutral tones to make them seem more correct, unbiased and trustworthy to people.

The problem is that LLMs ‘hallucinate’ details as an unavoidable consequence of their design. People can tell untruths as well, but if a person lies or misspeaks about a scientific study, they can be called out on it. An LLM cannot be held accountable in the same way, as it’s essentially a complex statistical prediction algorithm. Non-savvy users can easily be fed misinfo straight from the tap, and bad actors can easily generate correct-sounding misinformation to deliberately try and sway others.

ChatGPT completely fabricating authors, titles, and even (fake) links to studies is a known problem. Far too often, unsuspecting users take its output at face value and believe it to be correct because it sounds correct. This is bad, and part of the issue is marketing these models as though they’re intelligent. They’re very good at generating plausible responses, but this should never be construed as them being good at generating correct ones.

Wow, it’s almost as if someone being bad can be for multiple reasons!

90 days to cycle private tokens/keys?

Radical unschooling?

We could assign it to any point within a recognizable region in the Cosmic Microwave Background, which would probably be the most universally-applicable reference available. One just needs to be able to filter out the noise from surrounding celestial bodies. The CMB does slowly change over time, but so too does the position of stars within galaxies and galaxies relative to one another.

I think they’ll get away with it because they’re deliberately marketing it the way so many similar movies are managed: formulaically for kids, but with some actors and writing meant to give ‘the adults’ something to watch too. Unfortunately, ‘the adults’ are almost always assumed to have only a passing familiarity with the subject material, and I have a feeling they’re going to write the ‘for the adults in the room’ jokes with that assumption in mind.

It feels like it’s being written on an outdated manual, ignoring the fact that there’s a very sizable core audience of 20 and 30-somethings they could tap into. My guess is that everything they tried only tested well with children in focus groups, since apparently they were dead-set on a live-action format from the very beginning. I hate to be so cynical, but it’s possible they decided to go all-in on kids because they can hit the appeal without worrying as much on the production standards.