Excess AI computing power is an inevitable trend. The surplus AI computing power can be used to create more general-purpose cryptocurrencies. Satoshi Nakamoto's ideal of 'one CPU, one vote' for cryptocurrencies wasn't realized, but at least 'one nonce, one vote' was achieved. Excess AI computing power can achieve 'one GPU, one vote.' And through NVIDIA's universal token interface, AI and cryptocurrency can be unified in a decentralized and adaptive way. This is the direction the GEB project has been researching: decentralized adaptive complex systems. Satoshi Nakamoto's BTC technical framework has had only one issue from the start, which is the problem of complete decentralization. When projected onto BTC, this manifests as the double-spending problem. Subsequent algorithm-centric decentralized blockchain cryptocurrencies are fundamentally not in the BTC track. XMR's white paper is written in a simple and straightforward manner, merely extending privacy and universal computing power on the foundation of BTC's massive success. The positioning of XMR in its white paper is also very accurate: just providing another choice for cryptocurrencies, which, looking back today, was the right move. At least major exchanges like Binance have delisted XMR, showing that XMR has increased fault tolerance in moving away from the capital-concentrated BTC direction, while providing safeguards against capital concentration. Here’s a big reveal: By combining NVIDIA's GPU universal token interface with Bitcoin's decentralized adaptive complex system framework (a Turing ordinal logic system under non-cooperative game theory), a cryptocurrency more ideal than BTC can emerge. It can naturally bridge and connect with the AI field. GEB's current experiments with the nonce interface are the pioneering network for connecting AI and cryptocurrency. If 'one nonce (CPU), one vote' succeeds in its expansion, then naturally 'one token (GPU), one vote' can succeed as well.