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G I am actually on the side of fair use in this particular argument, but I am chom… rdc_lauddqk G not only AI, even all those smart things we used nowadays are already destroying… ytc_UgyzPa9bo… G Most of your video is just false. Nobody ever said AI would produce code without… ytc_UgxHkt1cV… G I'm not a artist but yea AI art is boring it can't take my attention. But an art… ytc_Ugyx-cuPx… G If we want to actually beat China at AI, we should be building huge amounts of s… ytc_UgzROu4Gu… G ChatGPT, an AI system that was trained on the internet, which is made by humans,… ytc_Ugxba9eDt… G This was great until the overcorrection went too far the other way, and terms li… ytc_Ugxq4_Cdy… G i just got an AI ad saying imagine making something by just thinking about it om… ytc_UgxxbdFJ1…
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​@mattbeisser3932 I could be wrong then, and they could be lying about storing text, which is likely. My argument about the unfeasiblility of storing training data is probably wrong when it comes to text, and only entirely true for image generators. However, there's another plausible explanation still. Rather than giving equal weight to all training data, they probably gave really heavy weight to the most popular books, as they would produce "the best writing". If you feed the AI a chunk of text that verbatim comes from a book with heavy weight applied in training, it can only output the rest of the book's text with 95% probability because its training tells it that those words are incredibly likely to be what comes next. Just like how people can memorize a speech given enough repetition, given enough weight the LLM can reproduce a book, and it's capacity for doing so is beyond human.
youtube AI Responsibility 2026-04-11T13:4… ♥ 1
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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