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G I agree with him. We have created something that the big tech is afraid of and a… ytc_UgwxMJodR… G You should do a video on why AI wants to murder white people. No joke there are … ytc_UgwMpC-PZ… G I have 2xQ is: 1)Can the AI create another AI? 2)can the AI develop/evolve by hi… ytc_UgzYjkkBi… G AI trained to imitate everything in real life. We must train ourselves to spot A… ytc_Ugx3rruPN… G >First of all, there's a single application for it and that's surveillance an… rdc_ghc3muv G 1:13 i have so much to say in re but i don't want to scare anyone. Let's just sa… ytc_UgzjJ690i… G Wow, I started watching your podcast like a year ago and I feel like every episo… ytc_Ugyhy2B9T… G You are forgetting one kind of AI artists: The ones that grab the generated imag… ytc_UgyF7dEvr…
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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