Bittensor TAO
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简介
Bittensor is an open-source protocol that powers a decentralized, blockchain-based machine learning network. Machine learning models train collaboratively and are rewarded in TAO according to the informational value they offer the collective. TAO also grants external access, allowing users to extract information from the network while tuning its activities to their needs. Ultimately, BitTensors vision is to create a pure market for artificial intelligence, an incentivized arena in which consumers and producers of this valuable commodity can interact in a trustless, open and transparent context
核心信息
- 分类: Artificial Intelligence (AI)
- 市值排名: #36
- 总供应量: 21,000,000 TAO
- 最大供应量: 21,000,000 TAO
- 流通量: 9,597,491 TAO
- 官方网站: bittensor.com/ ↗
- 白皮书: 查看白皮书 ↗
- 区块浏览器: 浏览器 ↗
- Twitter: @opentensor ↗
- GitHub: opentensor/BitTensor ↗
- 分类: Artificial Intelligence (AI), Smart Contract Platform, Layer 1 (L1), DePIN, Bittensor Ecosystem
- 历史最高价 (USD): $757.60 (2024-03-07)
- 历史最低价 (USD): $30.83 (2023-05-14)
- 完全稀释市值: $6,592,809,301
- 锁仓比例: 54.3% (尚未流通到市场的代币比例（流通量与总供应量之比）)
核心信息
Bittensor is an open-source protocol that powers a decentralized, blockchain-based machine learning network. Machine learning models train collaboratively and are rewarded in TAO according to the informational value they offer the collective. TAO also grants external access, allowing users to extract information from the network while tuning its activities to their needs. Ultimately, BitTensors vision is to create a pure market for artificial intelligence, an incentivized arena in which consumers and producers of this valuable commodity can interact in a trustless, open and transparent context
- 市值排名: #36
- 总供应量: 21,000,000 TAO
- 最大供应量: 21,000,000 TAO
- 流通量: 9,597,491 TAO
- 锁仓比例: 54.3%
- 历史最高价 (USD): $757.60 (2024-03-07)
- 历史最低价 (USD): $30.83 (2023-05-14)
- 完全稀释市值: $6,592,809,301
- 分类: Artificial Intelligence (AI), Smart Contract Platform, Layer 1 (L1), DePIN, Bittensor Ecosystem
📊 Data Sources & Methodology
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🏛️ 11 거래소 실시간 가격 비교 4 exchanges
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