The stronger the AI model, the tighter the regulation, and the more valuable the narrative of decentralized networks becomes.

Anthropic's Fable 5 was just banned from export controls by the U.S. Department of Commerce, and CoinFund founder Jake Brukhman pointed out a structural issue: AI is inherently centralized, and export controls are just accelerating this trend's visibility.
Meanwhile, TAO surged over 28% in 24 hours, and Venice and Morpheus tokens rose in tandem— the market is voting with its feet, betting on the opposite direction of "permissionless AI."
But regardless of the narrative, the real bottleneck is computing power. Brukhman straightforwardly said: the world doesn't lack general-purpose GPUs, what’s missing are distributed training algorithms.
Teams like Gensyn and Prime Intellect have already proven that distributed training costs are lower, and efficiency approaches traditional solutions.
Another aspect is economic sustainability—Pluralis is exploring a business closed-loop using tokenized AI models, but it’s still far from scaling.
The counter risk is also clear: if decentralized AI remains just an "anti-censorship" shell, with no reduction in computing costs and no viable business model, then this rally is just emotional speculation.
Moreover, the ban on Anthropic by the U.S. could also push centralized AI to strengthen compliance, which might actually shrink the survival space for decentralized networks.
Whether AI moves toward centralized censorship or open networks is not just a technical debate, but a watershed for capital flows.
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