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Bittensor | TAO & Ai

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The price of Bittensor aka TAO is $290 today with a 24hour trading volume of 10 million dollar. This represents a 12% price increase in the last 24 hours and a 18% price increase in the past 7 days. With a circulating supply of 5.8 Million TAO.

Bittensor is an open-source protocol that utilizes blockchain technology to create a decentralized machine learning network. This network enables machine learning models to train collaboratively and be rewarded in TAO according to the informational value they offer the collective. Additionally, Bittensor's TAO grants external access to users, allowing them to extract information from the network while tuning its activities to meet their needs. The ultimate vision of Bittensor is to create a market for artificial intelligence, allowing producers and consumers of this commodity to interact in a trustless, open, and transparent context. Bittensor provides a novel strategy for developing and distributing artificial intelligence technology, promoting open access/ownership, decentralized governance, and global access to computing power and innovation within an incentivized framework. The Bittensor network operates using two types of nodes, servers and validators, with assessments based on the value of their responses. Nodes that add value to the network are rewarded with more stake, while low value nodes are weakened and eventually de-registered.

In the last three months, Bittensor went through a number of major announcements, including a spike in miners' performance, a new subnets launch, crucial large language models developments and so on

we start buying TAO after breaking 90$ and our signal was at 95$ for our clients,and here we are

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we hit all targets and say hello to 3.5 Bil MC

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we hit our new targets

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be ready for Binance listing

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Bittensor will announce its roadmap on March 21

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Binance will list Bittensor and open trading for these spot trading pairs at 2024-04-11 12:00 (UTC). Bittensor is a P2P machine learning protocol that incentivizes participants to train and operate machine learning models in a distributed manner

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