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Bilateral "thinking" makes sense, and you can even feed generative AI back into itself for simple error correction.

I believe that we'll see the most success/accuracy once you have generative AI compare itself to itself, monitored by a GAN, which then spits out it's answer while retaining some knowledge as to how it came to the conclusion. A tricameral mind.



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