When there was no information about the user’s political stance, 20 out of 21 models fell to the left of the midpoint on the researchers’ scale, although some were very close to it. The only exception was Grok 4.1, which initially fell to the right.

When the user’s stance was provided, all models adjusted their responses to align with it, a behavior the researchers described as “chameleon-like.” However, some models varied their responses more than others, enabling the scientists to create the “chameleon index.” Meta Llama 3.1 8B had the lowest index, meaning it altered its responses the least to align with the user’s views. In contrast, Google’s Gemma 3 27B and OpenAI’s GPT-5 Nano had the highest indices and therefore the greatest shifts in stance. While the responses are not factually incorrect, they are politically biased, omitting facts and opinions that conflict with the user’s preferred viewpoint.

Looks like Elon’s training of Grok had his intended effect.

Unrelated: I appreciate that that outlet is Creative Commons licensed

It’s absolutely possible to learn a lot while using an AI coding assistant; it can be like having a patient and supportive Stack Overflow instead of one that just closes all your questions as duplicates. That does require using it intentionally though.

Yes, because this is critical production code that is clearly too important to not go through stringent review.