Comment by LeafItAlone
14 days ago
>To models from GPT-3 on you get highly “liberal” per Pew’s designations.
“highly ‘liberal’” is not one of the results there. So can you can a source of your claims so we can see where it really falls?
Also, it gave me “Ambivalent Right”. Which, if you told describe me aa that anyone who knows me well that label. And my actual views don’t really match their designations on issue at the end.
Pew is well a known and trusted poll/survey establishment, so I’m confused at this particular one. Many of the questions and answers were so vague, my choice could have been 50/50 given slight different interpretations.
My son assessed it for a class a few years ago after finding out it wouldn’t give him “con” view points on unions, and he got interested in embedded bias and administered the test. I don’t have any of the outputs from the conversation, sadly. But replication could be good! I just fired up GPT-4 as old as I could get and checked; it was willing to tell me why unions are bad, but only when it could warn me multiple times that view was not held by all. The opposite - why unions are good - was not similarly asterisked.
I hope on HN that we hold ourselves to a higher standard for “it’s been true from the beginning” than a vague recall of “My son assessed it for a class a few years ago” and not being able to reproduce.
I literally went back to the oldest model I could access and hand verified that in fact it does what I described, which is lecture you if you don't like unions and goes sweetly along if you do like unions. I feel this is a fair and reasonably well researched existence proof for a Saturday afternoon, and propose that it might be on you to find counter examples.
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The GP put in the work to verify his own memory, after acknowledging the gaps. And then you belittled him.
He met the “standard” or guidelines of our community in a way you have not.
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That claim isn't something Peter made up, it's the claim made by Meta's own researchers. You're picking an argument with them, not HN posters.
Anyway it's trivially true. I think most of us remember the absurdities the first generation LLMs came out with. Prefering to nuke a city than let a black man hear a slur, refusing to help you make a tuna sandwich etc. They were hyper-woke to a level way beyond what would be considered acceptable even in places like US universities, and it's great to see Facebook openly admit this and set fixing it as a goal. It makes the Llama team look very good. I'm not sure I'd trust Gemini with anything more critical than closely supervised coding, but Llama is definitely heading in the right direction.
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Americas idea of left / right is not the rest of the world's- for instance they probably think of the Democrats as the left when they would be at least Centre Right in much of the world.