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G Thats it im turning off the wifi without wifi ai cannot get information from oth… ytc_UgzrRW8lQ… G laws must act here too, it should be ilegal for a company to have more than 20% … ytc_UgwAKuLID… G The "AI is helping disabled artists" argument is always way funnier, when I reme… ytc_UgxcrYlxO… G AI is just a technology not God, if it has too much disadvantage then why humans… ytc_UgygnT8Y1… G They are definitely not programming themselves. Just shows how little people in … ytr_UgzwO74sC… G I want to learn AI but i am from medical background , Is this course for comple… ytc_Ugy2rF--0… G 5:50 Too long; didn't listen for this segment. Humans have the one thing that AI… ytc_UgzG9OMnh… G I think it's the first one, just kidding it's obvious that number two is AI… ytc_Ugyv7K4IY…
Comment
@greenaum It's not a "popular" explaination it is literally the truth. A language model is a function with a set of parameters which are optimized to minimize cross entropy between output log probabilities and the correct next token assumed at probability 1.0. It turns out that to predict tokens well, you develop "few shot learning" capabilites, as in learning that goes beyond the first order optimization algorithm used to train the parameters, but actually use the current context as state to "learn new skills" (that turned out to be false actually). This was always loosely defined ever since the GPT2 paper how "powerful" this fewshot learning actually is, but it turns out that it is neither meta learning as many suggested nor applying a set of algorithms learned during pretraining encoded in the parameters. It is quite a bit weaker than many people dream it up to be. There has been a great outcry whenever people downplay what language models actually do because of the hype surounding it, but I have to admit that we have been fooled. It was always doing the same thing as the small models, just on a bigger scale. But the shift in quality was so profound, people dreamt up ridiculous explainations.
youtube AI Moral Status 2024-07-26T16:0…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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