$TAO /USDT â đą LONG · Conf 95%
Entry: $255.13 â $256.67
SL: $241.40
TP1: $268.70
TP2: $278.93
TP3: $294.29
All three MAs stacked bullishly on the 15M with price holding above MA(7) after the breakout â structure hasn't cracked despite the $261 rejection.
Bittensor is a decentralized protocol that creates a competitive marketplace for AI compute, where machine learning models earn TAO rewards proportional to the informational value they contribute to the network. The Base L2 integration launched August 23 via Chainlink is the detail most posts are missing â it's the first time Bittensor's AI inference layer connects directly into active DeFi liquidity rather than sitting isolated on its own chain.
The supply risk is real: only 9.6M of 21M TAO are currently circulating â the remaining emission schedule creates persistent sell pressure as validators and miners receive new TAO daily.
Bittensor rewards subnets based on informational value to the collective â but as the network scales to 64+ active subnets, does the current validation mechanism actually distinguish genuine AI output quality from subnets gaming the incentive structure?
#TAO #Bittensor #AI #Web3
Entry: $255.13 â $256.67
SL: $241.40
TP1: $268.70
TP2: $278.93
TP3: $294.29
All three MAs stacked bullishly on the 15M with price holding above MA(7) after the breakout â structure hasn't cracked despite the $261 rejection.
Bittensor is a decentralized protocol that creates a competitive marketplace for AI compute, where machine learning models earn TAO rewards proportional to the informational value they contribute to the network. The Base L2 integration launched August 23 via Chainlink is the detail most posts are missing â it's the first time Bittensor's AI inference layer connects directly into active DeFi liquidity rather than sitting isolated on its own chain.
The supply risk is real: only 9.6M of 21M TAO are currently circulating â the remaining emission schedule creates persistent sell pressure as validators and miners receive new TAO daily.
Bittensor rewards subnets based on informational value to the collective â but as the network scales to 64+ active subnets, does the current validation mechanism actually distinguish genuine AI output quality from subnets gaming the incentive structure?
#TAO #Bittensor #AI #Web3
