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Training a top-tier large model currently consumes enough energy to power a small city for several days. The deeper issue is that 78% of the global AI Computing Power is tightly held by a few tech giants, and the rental costs for high-end GPUs are exorbitantly high. The result is that these giants hoard computing power, competing with each other while possibly doing redundant tasks, leading to diminishing marginal returns; meanwhile, countless small and medium-sized development teams, research institutions, and innovative startups are blocked from innovation by the high costs of computing power. This is not just an economic issue; it is a significant misallocation of resources that is completely contrary to the goals of sustainable development.
So some have proposed a new approach. Instead of directly producing Computing Power, it is better to construct a decentralized global Computing Power resource "smart grid" through clever economic design and protocol architecture. The goal is clear: to ensure that every joule of computational energy flows to the places that need it the most and can create the most value.
The key is how to incentivize. Traditional blockchain's PoW has been criticized for its energy consumption for many years, while PoS primarily rewards holders. This new consensus mechanism has completely changed the thinking - it's called "Attribution-based Intelligent Proof," abbreviated as PoAI. It does not reward meaningless hash calculations, nor does it reward merely holding coins, but rather rewards those participants who truly create actual, verifiable value for the AI network. For example, nodes that provide high-quality Computing Power and successfully complete valuable AI tasks.
In this way, when a developer wants to train a model, he can find the computing power resources he needs in a decentralized network. In this model, the income of computing power providers is directly linked to their actual contributions, and the incentive mechanism is clear. In simple terms, it activates idle computing power resources, allowing innovators to acquire what they need at a reasonable cost, breaking the monopoly of giants while also improving the overall resource utilization efficiency of the ecosystem.