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📈 Bittensor $TAO Flow Leaders — Weekly Check-In
Top weekly flow gainers (strongest inflows):
@TargonCompute (SN4) — +$6.43M weekly flow
Targon leads this week after a major confidential-compute milestone: they published a paper with @intel engineers describing how sensitive AI workloads can run on untrusted, decentralized hardware using Intel TDX, Intel Trust Authority, and NVIDIA Confidential Computing. Intel’s official account also amplified the work — a strong signal for both Targon and Bittensor more broadly.
@tplr_ai (SN3) — +$3.92M weekly flow
templar continues to benefit from the momentum around its recent 72B permissionless pretraining milestone — one of the strongest technical achievements Bittensor has seen so far.
@gradients_ai (SN56) — +$1.54M weekly flow
A subnet focused on decentralized model training, making it easier to participate in competitive AI training through Bittensor.
@Affine (SN120) — +$1.34M weekly flow
An incentivized RL / evaluation subnet built around measurable model improvement across reasoning and coding-style environments.
@IOTA_SN9 (SN9) — +$1.27M weekly flow
A decentralized pretraining subnet focused on large-scale model training across distributed compute.
Under TaoFlow, subnet emissions are driven by EMA-smoothed net $TAO flow. Sustained inflows help a subnet capture emissions, while sustained outflows push emissions toward zero until demand returns.
Trade & research subnets → tao.bot/explore
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