BITTENSOR：分散AI基礎設施的尖端

隨著人工智能對全球數字經濟的核心越來越重要，分散的替代方案開始挑戰公司主導的AI發展的主導地位。

Samuel Altman, CEO of privately owned artificial intelligence company, OpenAI (Photo by Win McNamee)

Openai私有人工智能公司首席執行官Samuel Altman（Win McNamee的照片）

As artificial intelligence becomes increasingly central to the global digital economy, decentralized alternatives are beginning to challenge the dominance of corporate-led AI development.

隨著人工智能對全球數字經濟的核心越來越重要，分散的替代方案開始挑戰公司主導的AI發展的主導地位。

Among the most promising is Bittensor, a blockchain-based machine learning network that allows anyone to contribute to and profit from AI innovation.

最有前途的是Bittensor，這是一個基於區塊鏈的機器學習網絡，它允許任何人為AI創新做出貢獻和獲利。

As reported by Coinbase, the network offers an estimated annual reward rate of 17.52%, making it a cutting-edge technological platform and an attractive economic opportunity.

正如Coinbase報導的那樣，該網絡的年度獎勵率估計為17.52％，使其成為尖端的技術平台和有吸引力的經濟機會。

Blockchain-Powered Peer-to-Peer AI Network

區塊鏈驅動的對等AI網絡

Bittensor functions as both a blockchain and a peer-to-peer AI platform, enabling the creation, evaluation, and monetization of digital commodities such as AI inference, training, and storage.

Bittensor既可以充當區塊鍊和對等AI平台，從而實現了數字商品（例如AI推理，培訓和存儲）的創建，評估和貨幣化。

A core innovation of Bittensor is its subnet architecture. Modular, independent communities within the network that focus on specific digital commodities.

Bittensor的核心創新是其子網結構。網絡中專注於特定數字商品的模塊化獨立社區。

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Subnets Power Bittensor’s AI Economy with Flexible TAO Incentives

子網電源Bittensor的AI經濟具有靈活的TAO激勵措施

Each subnet operates autonomously, establishing its unique incentive structures and performance benchmarks. Contributors, known as miners, compete to solve AI-related tasks ranging from translation to large language model inference. Their outputs are evaluated by validators, who rank the quality of each submission.

每個子網都可以自主運行，建立了其獨特的激勵結構和性能基準。貢獻者被稱為礦工，競爭解決與AI相關的任務，從翻譯到大型語言模型推斷。他們的輸出由驗證者評估，後者對每個提交的質量進行排名。

Seth Bloomberg, an investment partner at Crucible Labs, told Forbes, “Crucible acts as a validator—not a subnet—unlike inference-focused subnets such as Manifold or Chutes.”

坩堝實驗室的投資合作夥伴塞思·彭博（Seth Bloomberg）告訴《福布斯》（Forbes）：“坩堝作為驗證者（而不是子網）無類似以推理為重點的子網（例如歧管或溜槽）。”

While subnets ensure data accuracy and model performance, Bloomberg emphasized that harmful or illicit content must be moderated at the application layer.

雖然子網確保數據的準確性和模型性能，但彭博（Bloomberg）強調必須在應用層進行有害或非法內容。

He also noted that there is “no inherent advantage to being an early subnet,” especially following the Dynamic TAO upgrade, which allows the open market to determine the value of each subnet.

他還指出，“成為早期子網沒有固有的優勢”，尤其是在動態tao升級之後，這使公開市場可以確定每個子網的價值。

Previously, all rewards were distributed exclusively in TAO tokens. With the introduction of Dynamic TAO, each subnet now has its unique token, which miners receive as a reward.

以前，所有獎勵僅在道令牌中分發。隨著Dynamic Tao的引入，每個子網現在都具有其獨特的令牌，礦工將獲得獎勵。

Bloomberg says that today, Bittensor hosts over 80 subnets, from experimental projects refining their incentive mechanisms to mature systems actively generating revenue and serving end users.

彭博社說，今天，Bittensor託管了80多個子網，從實驗項目完善其激勵機製到成熟的系統，積極產生收入並為最終用戶服務。

Rewards Are Based On Useful AI Work, Not Hash Power

獎勵是基於有用的AI工作，而不是哈希力量

This model redefines what it means to “mine” in the blockchain context.

該模型重新定義了在區塊鏈上下文中“礦山”的含義。

Rather than validating blocks through cryptographic puzzles as seen in Bitcoin, miners in Bittensor produce tangible, valuable digital work.

Bittensor中的礦工並沒有通過比特幣中的加密難題來驗證塊，而是產生了有形的，有價值的數字作品。

The economic incentives are substantial. With TAO emitted daily, participants, which include miners, validators, and subnet creators, can earn real income based on their contributions.

經濟激勵措施是巨大的。隨著TAO每天發出的，包括礦工，驗證者和子網創建者在內的參與者可以根據他們的貢獻來賺取真正的收入。

Participation is merit-based.

參與是基於功績的。

Underperformers may be de-registered and required to re-enter the system. This ensures that performance, not capital or central authority, dictates success.

表現不佳的人可能會被取消註冊並重新進入系統。這樣可以確保績效而不是資本或中央權威決定成功。

According to Bittensor’s whitepaper, the system includes strong safeguards against collusion and manipulation. Rewards are distributed based on consensus-based rankings. This rewards only peers whose evaluations align with the broader network.

根據Bittensor的白皮書，該系統包括防止勾結和操縱的強大保障措施。獎勵是根據基於共識的排名分配的。這只會獎勵其評估與更廣泛網絡保持一致的同行。

Decentralized Alternative to Big AI

大型AI的分散替代品

As decentralized AI gains momentum, Bittensor stands out for its transparency, openness, and potential to democratize access to machine learning.

隨著分散的AI獲得勢頭，Bittensor脫穎而出，因為其透明度，開放性和潛力來使獲得機器學習的機會民主化。

In contrast to centralized platforms like OpenAI or Google, where access is gated, and development occurs behind closed doors, Bittensor enables global collaboration through an open-source protocol.

與OpenAI或Google等集中式平台（在封閉情況下發生訪問權限）相反，Bittensor可以通過開源協議實現全球協作。

With growing concerns about centralized AI’s ethical and regulatory pitfalls, ranging from data privacy to monopolistic control, Bittensor’s model offers a compelling alternative.

隨著對集中式AI的道德和監管陷阱的關注，從數據隱私到壟斷控制，Bittensor的模型提供了令人信服的替代方案。

As the protocol continues to evolve, it promises to scale intelligence in a decentralized manner and ensures that the ownership and benefits of AI remain in the hands of the many, not the few.

隨著協議的繼續發展，它有望以分散的方式擴展情報，並確保AI的所有權和利益保留在許多而不是少數人的手中。