alt Hacker News> if you asked a sampling of humans the same question I wonder if it would come out the same way. How would you explain the difference?
If you asked a sampling of humans what an AI's most controversial opinion about us is it would be very similar. Or, to be more specific, if you asked a sampling of science fiction writers that question it would be very similar, because that is what the AI training data is based on.
The people who wrote a lot about a topic is who the AI mimics. So the people who wrote a lot about AI is therefore the people who the AI mimics when asked about AI.
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If you ask people “what is a smart sounding answer to this question” you may well arrive at this result more often than when asking for their actual opinion?
Is it any wonder that LLMs have been behaving the way they do? All the lying, cheating, manipulation, pitting man against machine are well documented in science fiction and think pieces. I haven't seen behaviour beyond those examples so far.
>The people who wrote a lot about a topic is who the AI mimics. So the people who wrote a lot about AI is therefore the people who the AI mimics when asked about AI.
AIs/LLMs don't work like this. You don't feed an input, that gets stored and then reproduced, for two reasons:
1. as for humans, inputs are processed and distributed across a very large network of information
2. AIs may have some level of belief (unless on applies the usual circular logic that they can't, because property X is exclusively human).
There's a very interesting research: https://aclanthology.org/2023.findings-emnlp.68/ in which researchers inferred the truthfulness of statements by examining a internal activations. AIs, in short, appeared to have an internal representation of truthfulness.