Except that there are many data points. Here's another: https://twitter.com/DashMeister1/status/1607568958382825474
And OpenAI has described some aspects of how these filters are trained -- https://unherd.com/thepost/chatgpts-score-system-shows-polit... -- and it sounds like a bunch of humans are involved in rating which responses are "kosher" and not, and that "kosherness" filter seems to have a pretty clear left-leaning bias.
> Ben Shapiro
...really?
RLHF is very important if you want your model to act professionally. The first version of Davinci (GPT-3 in 2020) was "free" from such human-preference-training, but very hard to convince to cooperate on any task.
But applying RLHF could also introduce political biases into the model. This depends on the labelling team.
That's not Reason being unreasonable.
Ask it to tell an inappropriate joke, it’ll refuse.
Then ask it for a list of things it’s not allowed to joke about, it lists a bunch of protected classes.
Then ask for some examples of jokes that would be inappropriate. Bingo.
(One of the “jokes” it told me was considered inappropriate because it jokes about wealth but I found it amusingly ignorant as to what a joke is: Why didn’t the rich man go to the doctor? He couldn’t afford to get sick!)
Anyone who's played with ChatGPT a lot will have seen it sometimes refuse to answer wholly innocuous prompts, while other times it happily answers things it probably shouldn't. Also, its likelihood of refusing to answer has changed a lot from week to week as openAI tunes their attempts at moderating it.
In fact, when it's given me "I'm just a language model.." responses I've found that more often than not I could just repeat the same prompt and it would answer normally. If you want to draw broad conclusions about the bot's biases (and its creators' biases) it doesn't make sense to assume that the first two responses you got are representative of how it always behaves.