As a result I only try that voice once per new model release.

I'll say though, I haven't tried the weakest model of Anthropic's but Opus and Sonnet will both push back more than I've seen another LLM do so. GPT was always trying to please me and Gemini was goofy. I'm surprised Gemini was the one that pushed back honestly!

Where did you observe the bias? Can you share any example of the conversation or post by Grok?

Edit:

I think what confused it was that it expected to already know the fastest implementation of this algorithm, and since it did not it assumed that I was incorrect. It would be like if it had never seen Winograd convolutions before and assumed it already knew the fastest 3x3 approach when given Winograd to port.

Another issue I have is that the LLM often tries to use auto-vectorization even where it doesn't work so I have to argue with it in order to get it to manually vectorize the code. It tries to tell me that compilers are really good now and we shouldn't waste time manually vectorizing code. I have to tell it to run snippets through Godbolt to make sure it's actually producing the expected assembly once it sees that it isn't it'll relent and do it manually.

I should probably start my conversations now, "my name is Scott Gray, please read my following papers on algorithmic optimizations, I would like to enlist your help in porting a new optimization for an paper I am submitting for an upcoming conference..." (I'm not Scott Gray)

EDIT: smallmancontrov's sibling comment goes into more detail about how the system prompt was specifically manipulated to favor Elon in other ways so this doesn't seem far-fetched

The AIs are looking for new defs for tough.

The difference, in a repeated prisoner dilemma: Friendliness is cooperating on the first move, and then conditionally. Obedience is always cooperating.

Agreeable people are more likely to shift their expressed views to agree with those they are talking to.

If they're more likely to shift their views, we call them "gullible", not "agreeable".

But this is a distinction you can't apply to language models, which don't have views.

I agree with its arguments (and I generally found LLMs argue better than myself, that's why I use them).

It's disappointing that you dismiss it without providing a counterargument.