Aigarth trinary logic hits IEEE

Aigarth's trinary logic and evolutionary approach is a high-risk, high-reward bet against the binary GPU-centric transformer status quo.

• –Trinary logic (+1, 0, -1) incorporates uncertainty directly into the architecture, potentially reducing energy use by 70%.
• –Replacing gradient descent with a selection-based evolutionary process allows models to learn continuously without hitting a "frozen state."
• –uPoW (Useful Proof of Work) converts crypto mining power into decentralized AI training, bypassing the need for centralized GPU clusters.
• –IEEE paper acceptance (AMLDS 2026) provides needed academic legitimacy to this decentralized AGI initiative.