Raw LLM Responses

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G The male robot says he will take over the computer grid and takeover the world y… ytc_UgyYnO4w9… G I used pi when I was getting ready to write my first book. I love it. I have log… ytc_Ugw4ahUTt… G ​"AI could wipe out half of all entry-level white-collar jobs and spike unemploy… ytc_Ugyf4Ukhn… G Is plagiarism your only objection to ai art? If so- you have no objcetion to ai… ytc_Ugw2kWGdR… G With the global population shrinking, I think AI will be a solution to our skill… ytc_UgywTtMzB… G Omg “ if you looked at the photos your the problem “ bitch you’re the problem, p… ytc_UgzWmu2wO… G Has anyone watched the movie wil smith I robot how are we not seeing this… ytc_UgzS5MYwU… G But... but... if AI doesn't take my job, however shall exorbitant P/E ratios for… ytc_UgxF8PTu5…
Comment
Watching this, it’s fascinating to see Hinton defend the 2015 Distillation paper as a 'groundbreaking' feature, but we have to credit Tomas Mikolov (2013) for the real breakthrough. For decades, the 'Godfathers' (Hinton, Bengio) were stuck on complex, biologically-inspired models that were too slow for the real world—basically building a 'map of a nonexistent planet.' Mikolov was the one who looked at these 'abandoned ideas,' stripped away the unnecessary complexity, and found the 'last piece of the puzzle.' While Hinton provided the 'Deep Learning' philosophy, Mikolov’s Word2Vec proved that Simplicity + Scale > Complex Theory. If Science is a relay race, Hinton defined what 'running' was, but he was carrying a heavy backpack of theory. Mikolov dropped the backpack and actually reached the finish line. We shouldn't debase the 'Engineer' just because the 'Architect' had the theory first—without the engine, the blueprints are just paper. For those who want to see that breakthrough paper so successful that it actually convinced Google and OpenAI to pour billions into the "Scaling Hypothesis"—the idea that if we just make these simple models bigger, they will become "conscious.
youtube AI Moral Status 2026-03-03T20:4… ♥ 1
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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