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輸入:人工智能或AI是一個大部門。在加密中,我們發現許多分散的AI協議。這些是Chatgpt等集中式AI市場的一個很好的選擇。
Artificial Intelligence (AI) is a booming sector, and in the realm of cryptocurrency, we're seeing the rise of decentralized AI protocols. These protocols offer a compelling alternative to the centralized AI services. In this article, we'll delve into Bittensor ($TAO), a leading decentralized AI protocol.
人工智能(AI)是一個蓬勃發展的部門,在加密貨幣領域,我們看到了分散的AI協議的興起。這些協議為集中的AI服務提供了令人信服的替代方案。在本文中,我們將深入研究Bittensor($ TAO),這是一項分散的AI協議。
Bittensor is essentially a Peer-to-Peer (P2P) network that serves as an ecosystem for AI. It's also a decentralized protocol, which contrasts with the centralized control of AI and siloed data. Centralized control poses difficulties in sharing or accessing data. On the other hand, Bittensor's open-source protocol, which anyone can access, promotes transparency and collaboration.
Bittensor本質上是一個點對點(P2P)網絡,它是AI的生態系統。這也是一個分散的協議,與AI和孤立數據的集中控制形成對比。集中控制在共享或訪問數據方面遇到困難。另一方面,Bittensor的開源協議,任何人都可以訪問,促進透明度和協作。
Bittensor features subnets, each performing different AI-related machine learning models, such as compute power, storage space, or even applications in medical research. These subnets are interlinked, and the aim is for all subnet projects to share their knowledge, forming a neural network, or as Bittensor calls it, a ‘digital hive mind’. The network should grow and improve as participants contribute, with machine learning models interacting and learning from each other.
BITTENSOR具有子網,每個子網都執行不同的AI相關機器學習模型,例如計算功率,存儲空間甚至醫學研究中的應用。這些子網是相互聯繫的,其目的是使所有子網項目分享其知識,形成神經網絡,或者像Bittensor所稱的“數字蜂巢思維”。隨著參與者的貢獻,網絡應增長和改進,機器學習模型相互交互和學習。
On their part, Bittensor incentivizes the subnet with its $TAO token. This is where the P2P marketplace comes into play. Devs build their data models, train them, and trade them in the marketplace. Protocols providing more valuable and accurate output are selected for the validation process, rewarding them with $TAO tokens.
就他們而言,Bittensor用其$ TAO令牌激勵子網。這是P2P市場發揮作用的地方。開發人員建立了他們的數據模型,訓練它們並在市場上進行交易。為驗證過程選擇提供更有價值和準確的輸出的協議,用$ tao代幣獎勵它們。
Like Bitcoin, the $TAO token has a max supply of 21 million tokens, and Bittensor also has a 4-year halving cycle, reducing the issuance rate of new tokens. Nodes and validators ‘mine’ the $TAO token. You can find out more about the $TAO tokenomics in #2 of this deep dive.
像比特幣一樣,$ tao代幣的最高供應量為2100萬個令牌,而Bittensor也有一個4年的減半週期,從而降低了新令牌的發行率。節點和驗證者“礦山” $ TAO令牌。您可以在此深度潛水的#2中找到有關$ TAO Tokenomics的更多信息。
Currently, the team has around 40 members. The team opted for a fair distribution approach, rather than traditional ways of fundraising, setting up with much more community participation and fewer VCs.
目前,該團隊有大約40名成員。該團隊選擇了一種公平的分銷方法,而不是傳統的籌款方式,設置了更多的社區參與和更少的VC。
How Does Bittensor Work?
Bittensor如何工作?
So, as already mentioned, Bittensor is a decentralized network that interconnects machine learning (ML) models. It uses a different consensus mechanism, called Proof of Intelligence (PoI), also known as the Yuma Consensus (YC). With traditional blockchains, you mine or stake to receive rewards. However, with POI or YC, it depends on how valuable your ML contribution is.
因此,如前所述,Bittensor是一個分散的網絡,可以互連機器學習(ML)模型。它使用了不同的共識機制,稱為智力證明(POI),也稱為YUMA共識(YC)。使用傳統的區塊鏈,您將礦或股份獲得獎勵。但是,使用POI或YC,這取決於您的ML貢獻的價值。
Its main network is the Subtensor, which is the coordination layer. The subnets all have different, specific tasks. They are interconnected, but also independent and have three different players:
它的主要網絡是副本,即協調層。子網都有不同的特定任務。他們相互聯繫,但也獨立,有三個不同的球員:
* ML miners: These are the ones who train, deploy and maintain their own unique ML models on the network.
* ML礦工:這些是在網絡上訓練,部署和維護自己獨特的ML模型的人。
* Validators: They aggregate and validate the contributions of the miners.
*驗證者:他們匯總和驗證礦工的貢獻。
* Stakers: They stake their $TAO to secure the network and vote on proposals.
* Stakers:他們將自己的$ TAO保存以確保網絡並對提案進行投票。
Its main network is the Subtensor, which is the coordination layer. The subnets all have different, specific tasks. They are interconnected, but also independent and have three different players.
它的主要網絡是副本,即協調層。子網都有不同的特定任務。他們相互聯繫,但也獨立,有三個不同的球員。
ML models that provide more accurate and valuable output also receive more rewards, which are in $TAO tokens. Validators that evaluate miners close to consensus also receive higher rewards.
提供更準確和有價值的產出的ML模型也獲得了更多的獎勵,這些獎勵均以$ tao代幣。評估接近共識的礦工的驗證者也獲得了更高的獎勵。
However, this also caused governance issues. Until February 2024, Bittensor had centralized governance, with 64 validators of the Root Subnet, and 50% of the voting power was with the top 5 validators, who also showed bias and favoritism. Hence, a new governance model was in order.
但是,這也引起了治理問題。直到2024年2月,Bittensor都具有集中治理,有64個根子網驗證者,而50%的投票權是在前五名驗證者中,他們也表現出偏見和偏愛。因此,有一個新的治理模型。
Introduction of Dynamic $TAO or $dTAO
介紹動態$ tao或$ dtao
By introducing $dTAO there’s now a decentralized governance mechanism. For instance, this also removed the roles of the 64 Root Subnet validators. It took a year to get to this governance model, but on 13th February 2025 it launched. It’s possible to stake on a subnet or stake on the Root Subnet. Here, you stake $TAO and receive $TAO as a reward. Subnet staking is explained below.
通過引入$ dtao,現在有一種分散的治理機制。例如,這還刪除了64個根子網驗證器的角色。達到了這種治理模式花了一年的時間,但是在2025年2月13日,它啟動了。可以在根子網上的子網或木樁上樁。在這裡,您將$ tao股並收到$ tao作為獎勵。下面說明了子網的佔有。
You can read the $dTAO whitepaper for a better understanding of it. However, that’s rather technical. For an easier explanation, check this OAK Research article or the Bittensor docs. The picture below shows the ecosystem before the $dTAO upgrade. Or check the video below.
您可以閱讀$ DTAO白皮書,以更好地了解它。但是,這是相當技術的。為了簡化解釋,請查看本橡樹研究文章或Bittensor文檔。下圖顯示了$ DTAO升級之前的生態系統。或檢查下面的視頻。
After this upgrade, each subnet has its own alpha token. However, you can’t trade them on a secondary market or exchange. You can only find them in dedicated liquidity pools for each subnet. In these liquidity pools, there are two tokens: $TAO and a subnet’s alpha token. You can see these tokens as a liquid staking token.
此次升級後,每個子網都有自己的alpha令牌。但是,您無法在二級市場或交換上進行交易。您只能在每個子網的專用流動性池中找到它們。在這些流動性池中,有兩個令牌:$ tao和一個子網的alpha令牌。您可以將這些令牌視為液體含有令牌。
To get access to such a liquidity pool, you need to buy
要獲得這樣的流動性池,您需要購買
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