Of course. And the answer that follows will be the most likely response to that question.
Probably, over the entire dataset, that implies it will be a factual or correct answer. But it's pretty trivial to demonstrate GPT just giving the most popular answer, or even the most common answer to the class of questions that sound similar to the one asked (try asking it "what weighs more, 2 pounds of feathers or 1 pound of stones?")
Or more subtly, it may detect hints of bias, context, setting, influence, culture, or even coercion in how the question is asked. And respond as is most likely given those things.
We often ask it questions much like a teacher would ask a child. What if we asked it the way a student asked a teacher? Or a researcher? Or a prophet?
I definitely think a ton about how powerful "given this prefix, predict what follows" might be.
It's effective if you've seen the Q&A together before, or something similar.
But hard problems require making novel-to-you connections. ChatGPT is great at our outsmarting me with knowledge it got from you, and vice versa. That is an incrediblyn powerful way to concentrate and clone human knowledge.
It's bad at solving problems know one has published before, and so we are at a risk of turn off our brains, deferring to GPT, and stalling out progress. Because we need the exercise of solving known problems before we can solve hard unknown problems.
I disagree. "Given an input, respond as yourself" is what humans call talking. "Given an input, predict the most plausible continuation" is something else entirely.
To put a fine point on it, the AI has no state of mind, no allegiance to an identity. Asking only for "the most plausible continuation" is considerably more freedom, and more challenge, than humans perform in conversation.
We're getting kind of to the point where these words are hard to define, but it's worth really interrogating these. Ultimately, the context and the prompt don't change the fundamental nature of how the system was optimized.
You can try very hard to construct a prompt such that the most plausible continuations of that prompt are consistent with a notion of identity, but you can also easily witness pulling the AI out of that prompt. Jailbreaks do that work today.
But even then, it's, largely, continuing the prompt as well as possible. Many "identities" can satisfy that aim. See the idea of "Waluigis" for example.
Probably, over the entire dataset, that implies it will be a factual or correct answer. But it's pretty trivial to demonstrate GPT just giving the most popular answer, or even the most common answer to the class of questions that sound similar to the one asked (try asking it "what weighs more, 2 pounds of feathers or 1 pound of stones?")
Or more subtly, it may detect hints of bias, context, setting, influence, culture, or even coercion in how the question is asked. And respond as is most likely given those things.
We often ask it questions much like a teacher would ask a child. What if we asked it the way a student asked a teacher? Or a researcher? Or a prophet?
I definitely think a ton about how powerful "given this prefix, predict what follows" might be.