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G I only ever use AI as a stepping stone and not for the final product. Sometimes … ytc_Ugwbfxsgy… G While I do agree that ai has progressed a lot in the last few years, most of the… ytr_UgyXYg3F7… G I'm not sure how this guy was able to have a 2 hour conversation with bing when … ytc_UgynQBPXR… G You make an image generation AI. Then you leverage that tech to build a video ge… rdc_kz0uprz G Do we know what art generator they were using because I know people that have mi… ytc_UgzeOFfVF… G Who even used “facial recognition”?? You would just walk up to people and say “… ytc_UgwJv54vA… G Art History major here, art is literally _the_ most accessible form of human exp… ytc_UgwRViT4l… G Blaming an AI for killing their son is wild. It's the same old story like blamin… ytc_UgyPFrTZc…
Comment
Hinton was right: before people started focusing back on NN again in the 2010s, AI research was focusing away from NN based research. I was a computer vision researcher and after the early 90s NN was all but abandoned and designated as old and fringe. When GPU power increased significantly and the software layer became more general purpose, NN was "revived" in research. Hinton's own contribution towards the 2012 ImageNet Challenge was a key turning point, and why Google hired him and started investing in NN based approaches again (like with DeepMind). Hinton had always believed NN was the way forward, and that it was the closest (out of all the AI approaches) to how the brain actually works. And he had always (and still does) maintain that there are key differences, like back propagation. I mean you can still claim he is biased, but he never mischaracterized his bias or changed his position.
youtube AI Moral Status 2026-03-08T17:4… ♥ 2
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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