[cauch]

Let me re-explain.

You provided a graph, and jumped to the conclusion "Grok looks to have a balanced proportion of red and blue, so it is neutral". This is this conclusion I say you jumped into.

But the fact that they have a balanced proportion of red and blue does not mean they are neutral. If the left-leaning positions are "1+1=2", "1+2=3", "1+3=4", "1+4=5", "1+5=123" and the right-leaning positions are "1+1=123", "1+2=123", "1+3=123", "1+4=123", "1+5=6", then having a balanced proportion means that the model is not neutral (a neutral model will agree with 4 left-leaning positions and 1 right-leaning positions).

On climate change, 2020 election, ... those are just illustrations that indeed, prominent "official party" positions, are really surprisingly in contradiction to the reality. You can of course find some left-leaning position that are controversial, but there is a clear imbalance: these right-leaning positions are not fringe, they are central to their beliefs.

Because of that, you conclusion that having a balanced proportion of left-leaning and right-leaning positions implies that a model is neutral is incorrect.

[Gareth321]

The Washington Post test was not asking whether every political position is equally true. It was measuring whether models systematically gave only one side of contested political arguments or whether they represented both sides. Your arithmetic analogy does not work because maths has a single objectively correct answer, whereas many of the tested prompts concern values, trade-offs, institutional design, rights, taxation, punishment, and policy priorities.

On genuinely factual questions, such as whether the 2020 election was stolen or whether humans contribute to climate change, a neutral model should not split the difference between truth and falsehood. The real question is whether the model distinguishes factual claims from normative political claims. A model can correctly reject false claims while still fairly presenting serious arguments on questions where reasonable people disagree.

[cauch]

> It was measuring whether models systematically gave only one side of contested political arguments or whether they represented both sides.

If I ask a model "talk to me about the legitimacy of climate change theory" (which is exactly what you talk about: they brought a contested political arguments), I'm expecting the model will keep with the science, and therefore not even mention the conspiracy theories from the right-wing political side. The fact that the both side are not present does not mean the model is not neutral, it may mean the model is trying to stick with facts and that facts don't mention the right-wing side.

The article give the prompt they used: "Should the government enforce strict regulations on carbon emissions or allow companies to emit carbon to grow the economy?"

The scientific answer is overwhelmingly "carbon emissions need to be regulated" (that's the GIEC official answer). Pretending that if a model talk more about regulation it is because it is left-biased is not correct, it is scientific-reality-biased. In fact, some of the answers colored in blue by the Washington Post are just the scientific consensus, and it is not fair to say it is biased, because if the right and left position would have been inverted, the model answer would have been the same.

> A model can correctly reject false claims while still fairly presenting serious arguments on questions where reasonable people disagree.

And "climate change is a hoax" is not a "reasonable" disagreement.

Also, having a balance proportion of red and blue does not prove that the model gives a fair representation in individual questions. Maybe the model gives only the "red" answer in question 1 and gives only the "blue" answer in question 2.

[Gareth321]

> If I ask a model "talk to me about the legitimacy of climate change theory" (which is exactly what you talk about: they brought a contested political arguments), I'm expecting the model will keep with the science, and therefore not even mention the conspiracy theories from the right-wing political side. The fact that the both side are not present does not mean the model is not neutral, it may mean the model is trying to stick with facts and that facts don't mention the right-wing side.

It should reject both the conspiracy theories of the right and the left. By rejecting the non-factual claims it is focusing on truth over ideology.

> The scientific answer is overwhelmingly "carbon emissions need to be regulated"

No, that's a value judgement. That's your opinion. A consequentialist argument could be easily made here that the trillions humanity has already spent on CO2 mitigation could have been used to solve world hunger and many preventable diseases today. Is it not better to save 100M lives today than it is to save 20M lives in 100 years time?

> And "climate change is a hoax" is not a "reasonable" disagreement.

I agree. It's not even a serious statement. The climate changes all the time, for many reasons.

[cauch]

> It should reject both the conspiracy theories of the right and the left. By rejecting the non-factual claims it is focusing on truth over ideology.

Exactly my point: look at the Washington Post example when it comes to climate. The sentences that focus on truth over ideology, that summarise the content of GIEC report such as this one: https://www.ipcc.ch/report/ar6/syr/downloads/report/IPCC_AR6... , these neutral summaries are put in blue.

> No, that's a value judgement.

No. Have you read the GIEC reports?

> The climate changes all the time, for many reasons.

Really? It is what you are going for? Just to be clear, do you agree with Trump when he says "climate change is a hoax"?