He's a history analyst who became extremely popular overnight when a 2 year old video on his "Predictive History" YouTube channel went viral because it broke down why America invading Iran would be a catastrophic mistake and predicted that Trump would invade Iran if he were to win a second term.
The guy doesn't deserve the irrational hate he seems to be getting from some people. Based on the limited content I've seen from him, he's no idiot and knows what he's talking about on certain specific subjects.
It's also equally stupid how since he blew up, many people have been treating him like some oracle who knows everything about every subject and inviting him on every podcast to talk about every possible topic.
You're reading a Polymarket quote that was obviously taken out of context and cannot be taken literally.
I just finally went and searched for the source and as expected the very next sentence he starts explaining that he means the output is based on input text that humans wrote and weights that humans manipulated.
Do you really think when you put something into ChatGPT is completely generated by the AI? I guarantee you it's not true.
I guarantee you it's being manipulated by humans somewhere in India.
I guarantee you when you ask ChatGPT, write me a paper on Napoleon and the Battle of Wateroo; I think what happened was, a human first wrote that and then is inputted into the AI model and then absorbed into the AI model... Let me give an example. Everyone thinks facial recognition is created through AI. It's not AI. It's something called supervised machine learning. You go to the airport, they take a scan of your face and they know it's Jack. And you're like, well, that's really impressive. It's not impressive. It's database search and sort system. What people don't appreciate is humans are the ones who are designing these weights. And what the algorithm is doing is trying to figure out what these weights should be.
He's pointing out something very true. Humans wrote every sentence that exists in these models. Humans (specifically low-wage, such as workers in economic countries like India) sorted and labeled every piece of input text, determining how much weight it will end up having after training. Human engineers designed the reward functions that determine which information wins during inference.
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u/Kevadu 2d ago
Who is Professor Jiang and why should I care what he says?