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G The only thing giving us back security is this shitty AI is consuming enourmous … ytc_UgxsSsptm… G No outcry when these AI execs talk about wanting to wipe out the white collar wo… rdc_o5sed36 G That's a profound point! The distinction between AI and human experience, especi… ytr_Ugz4cSZBd… G In addition to liabilities I think there is a huge political aspect that we will… rdc_jhskgwt G The European have been good about not Americanisning there countries. They shoul… ytc_UgxEwV91S… G Automating fast food is a great idea - and entirely achievable. Indeed, there's… ytr_Ugw7wASvh… G That’s pretty much what’s already happening. The algorithms used on social medi… ytc_UgyaBpSV4… G Something needs to be done before it is too late . Look at what’s happened with… ytc_UgzTTft9G…
Comment
I agree with your conclusions and am not trying to argue the dangers of such advances. However, as someone working in Deep Learning I disagree with the idea that they can't create a new concepts and never will. The only fundamental difference between AI image generators and something like Alpha Go/Zero is how the network is trained and what it is asked to learn. Convolutional neural networks, including the U-nets used by these image generators, can be trained to play games and can learn to play beyond a human level. To a computer scientist, learning is learning and we can see that both these problems (art and games) as something that can be learned by structurally similar networks. To us, the big difference is that Go can be played by the machine and thus it can learn on its own. Art, on the other hand, is defined by humans and so the AI must refer to us in order to learn. The difference then is that our interpretations of the world is what is being learned by AI image generators. That is why these machines need art to learn. The difference is a matter of the thing being learned and not the players.
youtube 2023-02-08T19:1… ♥ 7
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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