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G I have been told things like this commenter might have heard all my life. I've d… ytc_UgxhVycJe… G Hi. I did ask. This was what ChatGPT replied. Your experiences may vary: "It’… ytr_UgxuRV6cF… G Eventually, ChatGPT Smarter than human being hahaha 😂. It's really true Jesus is… ytc_UgxUaeXfy… G Turn to Jesus before it’s too late. Not to sound like a dooms sayer but AI is c… ytc_UgzJ9DXYo… G Why are you using AI bot to scrape? Build something in python for the scraping/e… rdc_oi0i2b8 G I don't know how to color my drawings sometimes I use AI to generate something t… ytc_Ugw5o_YNo… G AI is still "garbage in, garbage out". Yes it can be trained to do anything a p… ytc_Ugw0-o-ES… G Every time we hear this its someone close to AI pretending there is nothing we c… ytc_UgxKfjN8x…
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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