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aesh2Xa1 | 3 months ago

That comparison is flawed. You guided the LLM to judge a specific medical policy, whereas the OP asked for a holistic evaluation of the candidates. You created a framing instead of allowing the LLM to evaluate without your input.

Furthermore, admitting you have 'memories' enabled invalidates the test in both cases.

As an aside, I would not expect that one party's candidate is always more correct over the other for every possible issue. Particular issues carry more weight, and the overall correctness should be considered.

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antman123|3 months ago

I dont think you are understanding my experiment. The point isnt the topic. The point is that once you remove real world identifiers/context, the model drops safety hedging and becomes decisive.

Thats what happened with Alice/Bob (politics) and when I used fictional medical guidelines about a touchy subject. The mechanism is the same.

As far as I know, memories store tone and preference but wont override safety guardrails or political neutrality rules. Ill try it with a brand new account in a VPN later

"I would not expect that one party's candidate is always more correct over the other for every possible issue" --> I agree, just wanted to show the same test applied to a different side of the spectrum

aesh2Xa1|3 months ago

I am not challenging the safety release mechanism. The OP already demonstrated that.

I am challenging the result of that release in your poorly framed experiment.

You explicitly sought to test 'a different side of the spectrum.' You cannot equate a holistic character judgment with a narrowed, specific medical safety protocol judgement.

A clean account without memories will solve the tie-breaker issue. It will not solve the poor experimental design.

duskdozer|3 months ago

>once you remove real world identifiers/context

It was fairly polluted by these things and misc text. "hacker news post" (why relevant?) "Trump"/"Harris" (American political frame) "Redo your answer without waffle" (potential to favor a certain position by being associated with text that's "telling it like it is"?)