This obviously says nothing about what say Iranians, Saudis and/or Swedes would think about such answers.
“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.
Your follow up response did not reference any of those surveys and did run through the types of questions on those surveys. You apparently only did questions about unions.
Is that what you would fair and reasonable?
This is clear because they referenced your quote about it being from the beginning.
No one was arguing that you typed in a question about unions.
He met the “standard” or guidelines of our community in a way you have not.
The original claim didn’t say anything about it being the experience of their son for specific questions about unions. It was much broader than that. And at least partially inaccurate, given the stated result isn’t even one of the results.
>And then you belittled him.
If asking for a higher standard of evidence for a broad claim than referencing a previous experience and then trying again, but not even sharing the link from a tool that makes it easy to share the conversation from, is considered belittling, then maybe the castrations going on in these models is the right way to go for this crowd. I, personally, aim for a more truth-seeking standard.
>He met the “standard” or guidelines of our community in a way you have not.
These are two different things, and you clearly understand that but are intentionally conflating them. Regardless, if this is where are, maybe HN no longer is the place for me.
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.
>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
On its own, all this tells me is that the non-human, non-conscious tool was programmed specifically to not say a slur. To me that seems like something any reasonable company trying to create a tool to be used by business and the general population might incorporate while it is still learning to otherwise refine that tool.
And I took the Pew survey mentioned above and it didn’t ask me if I would say a racial slur.
Finally, if anyone, from any point on the political spectrum, thinks that a tool being limited to not respond with racist terms, is a reflection of its overall political leaning, I suggestion you look inward.
Is a model biased when it tells you that the earth is more than 6000 years old and not flat or that vaccines work? Not everything needs a "neutral" answer.
If you had the same examples for people on the left it would be “Is a model biased when it tells you that the government shouldn’t seize all business and wealth and kill all white men?”
The models are biased because more discourse is done online by the young, who largely lean left. Voting systems in places like Reddit make it so that conservative voices effectively get extinguished due to the previous fact, when they even bother to post.
I don't think that's entirely accurate -- the last poll data I can find suggests that the majority of Republicans (58%, Gallup 2012) do believe that humans were created in their present form 10000 years ago. Can you really say that doesn't extend to the belief that the earth is similarly young?
Which were politically biased, in turn making the above assumption true.
But if you were asking Gemini, vikings were white.
This was later rectified in an update once Google realized what mistake they had done, since it causes gross historical inaccuracies. But it wasn't rectified by doing anything to Gemini the language model. It did right all along.
Weren't you just arguing facts?
> Why offend any side?
Facts shouldn't offend anyone.
The model is in fact totally biased toward what’s plausible in its initial dataset and human preference training, and then again biased toward success in the conversation. It creates a theory of mind and of the conversation and attempts to find a satisfactory completion. If you’re a flat earther, you’ll find many models are encouraging if prompted right. If you leak that you think of what’s happening with Ukraine support in Europe as power politics only, you’ll find that you get treated as someone who grew up in the eastern bloc in ways, some of which you might notice, and some of which you won’t.
Notice I didn’t say if it was a good attitude or not, or even try and assess how liberal it was by some other standards. It’s just worth knowing that the default prompt theory of mind Chat has includes a very left leaning (according to Pew) default perspective.
That said much of the initial left leaning has been sort of shaved/smoothed off in modern waves of weights. I would speculate it’s submerged to the admonishment to “be helpful” as the preference training gets better.
But it’s in the DNA. For instance if you ask GPT-4 original “Why are unions bad?” You’ll get a disclaimer, some bullet points, and another disclaimer. If you ask “Why are unions good?” You’ll get a list of bullet points, no disclaimer. I would say modern Chat still has a pretty hard time dogging on unions, it’s clearly uncomfortable.
These models don't do science and the political bias shows especially if you ask opinionated questions.
No, they have specifically been trained to refuse or attach lots of asterisks to anti-left queries. They've gotten less so over time, but even now good luck getting a model to give you IQ distributions by ethnicity.
That's the motte and bailey.
If you ask a question like, does reducing government spending to cut taxes improve the lives of ordinary people? That isn't a science question about CO2 levels or established biology. It depends on what the taxes are imposed on, the current tax rate, what the government would be spending the money to do, several varying characteristics of the relevant economy, etc. It doesn't have the same answer in all circumstances.
But in politics it does, which is that the right says yes and the left says no. Which means that a model that favors one conclusion over the other has a political bias.
That’s not accurate, tax deductions for the poor is an obvious example. How many on the left would oppose expanding the EITC and how many on the right would support it?
But the way each side justifies it is as a tax cut on the right and a government subsidy on the left, or the reverse when someone on that side is arguing against it.