@Lenguador - eviltoast
  • 5 Posts
  • 13 Comments
Joined 1 year ago
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Cake day: June 11th, 2023

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  • While in general, I’d agree, look at the damage a single false paper on vaccination had. There were a lot of follow up studies showing that the paper is wrong, and yet we still have an antivax movement going on.

    Clearly, scientists need to be able to publish without fear of reprisal. But to have no recourse when damage is done by a person acting in bad faith is also a problem.

    Though I’d argue we have the same issue with the media, where they need to be able to operate freely, but are able to cause a lot of harm.

    Perhaps there could be some set of rules which absolve scientists of legal liability. And hopefully those rules are what would ordinarily be followed anyway, and this be no burden to your average researcher.






  • I asked the same question of GPT3.5 and got the response “The former chancellor of Germany has the book.” And also: “The nurse has the book. In the scenario you described, the nurse is the one who grabs the book and gives it to the former chancellor of Germany.” and a bunch of other variations.

    Anyone doing these experiments who does not understand the concept of a “temperature” parameter for the model, and who is not controlling for that, is giving bad information.

    Either you can say: At 0 temperature, the model outputs XYZ. Or, you can say that at a certain temperature value, the model’s outputs follow some distribution (much harder to do).

    Yes, there’s a statistical bias in the training data that “nurses” are female. And at high temperatures, this prior is over-represented. I guess that’s useful to know for people just blindly using the free chat tool from openAI. But it doesn’t necessarily represent a problem with the model itself. And to say it “fails entirely” is just completely wrong.