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Jensen Huang personally endorses Bittensor: Is it the Holy Grail of decentralized AI or just an empty castle built on subsidies?
【Plain Language Summary】In March 2026, Jensen Huang called Bittensor the "modern version of Folding@home" on the All-In podcast. TAO surged from $243 to $365, a monthly increase of over 100%.
Subnet 3 (Templar) trained a 72B parameter Covenant-72B model using 70 home computers (500Mb/s) + SparseLoCo algorithm, achieving an MMLU score of 67.1, comparable to Meta LLaMA-2-70B.
128 subnets are building decentralized AI, focusing on "AI sovereignty" rather than cheap computing power. Under high subsidy risks, halving and ETFs become key factors.
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