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With computer games, the computational power needed for the next generation of games requires more computational power, this is achieved by advancements in both technology and energy efficiency.
Just like to render more mathematical equations in games, we need more computational power to improve AI. The improvement in computer games, drove the market to provide more raw processing power, those Graphics card power and efficiency improvements are what drove the AI boom.
Saying providing more power to AI is a paradox, but currently Enterprise AI has nowhere near the processing power of the human brain, AI is restricted by our inability to provide the processing power. In the same way computer game resolution will not match the DPI of our eyes due to restrictions in the rasterisation processing power needed to provide a rendered image at 32k resolution.
It's not a paradox, just a limitation.. Higher parameter models of AI require higher VRAM and processing power to run, home users are limited by their Hardware.. currently cloud based AI is far superior, but only a matter of time until home users have the same Graphics card power as Enterprise users and the game changes..
Jobs are being replaced on mass, which drives more investment in AI technology.. some jobs you only need a supervised monkey to operate a computer ��
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