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加密貨幣新聞文章

Sui 基金會向 DATA 網路投資 3000 萬美元,推動人工智慧訓練資料管道

2026/10/14 12:05

Sui 基金會對 DATA Network 的 3000 萬美元投資旨在將 Sui 建立為人工智慧資料的基礎設施,增強開發人員的可追溯性和存取能力。

Sui 基金會向 DATA 網路投資 3000 萬美元,推動人工智慧訓練資料管道

Sui Foundation Bolsters AI Data Infrastructure with Major DATA Network Investment

Sui 基金會透過重大 DATA 網路投資支援人工智慧資料基礎設施

In a move set to significantly shape the future of artificial intelligence development, the Sui Foundation announced a substantial $30 million investment in DATA Network. This strategic infusion, reported on October 12, 2026, positions Sui's technology stack as the premier infrastructure layer for storing, licensing, and managing AI training data, complete with clear and trackable usage rights.

為了顯著塑造人工智慧發展的未來,隋基金會宣布向 DATA Network 投資 3,000 萬美元。 2026 年 10 月 12 日報告的這項策略注入,將 Sui 的技術堆疊定位為儲存、授權和管理 AI 訓練資料的首要基礎設施層,並具有清晰且可追蹤的使用權限。

Pioneering Traceable AI Data

開創性的可追溯人工智慧數據

At the heart of this partnership is DATA Network's innovative Trace registry. Launched in June 2026, Trace is an onchain system designed to meticulously record the origin of every piece of training data, along with its associated usage rights, while ensuring original contributors are compensated. The registry has already seen impressive adoption, logging over 250 million contributions and processing millions of daily receipts. This commitment to provenance and transparency is crucial for AI safety, as highlighted by DATA Foundation CEO Andrea Muttoni, who stated that ensuring data is "traceable, auditable and cleared to use is just as important for AI safety" as the data's quality itself.

此次合作的核心是 DATA Network 創新的 Trace 註冊表。 Trace 於 2026 年 6 月推出,是一個鏈上系統,旨在精心記錄每個訓練資料的來源及其相關的使用權限,同時確保原始貢獻者得到補償。該註冊表已經得到了令人印象深刻的採用,記錄了超過 2.5 億份捐款並處理數百萬份每日收據。正如 DATA 基金會執行長 Andrea Muttoni 所強調的那樣,對來源和透明度的承諾對於人工智慧安全至關重要,他表示,確保數據「可追蹤、可審計和許可使用對於人工智慧安全來說與數據品質本身同樣重要」。

Seamless Integration into the Sui Ecosystem

無縫融入 Sui 生態系統

As part of the deal, DATA Network will transition from its independent blockchain to become a protocol native to Sui. This integration will see its native token, $DATA, migrate on a one-to-one basis. Walrus, Sui's decentralized storage network, will serve as the default storage layer, providing a secure and verifiable home for encrypted, immutable copies of original data files. This setup allows AI labs to confirm that datasets remain unaltered since their initial registration, a critical step in maintaining data integrity.

作為交易的一部分,DATA Network 將從其獨立的區塊鏈轉變為 Sui 原生的協議。此整合將看到其原生代幣 $DATA 在一對一的基礎上進行遷移。 Sui 的去中心化儲存網路 Walrus 將作為預設儲存層,為原始資料檔案的加密、不可變副本提供安全且可驗證的儲存空間。此設定允許人工智慧實驗室確認資料集自初始註冊以來保持不變,這是維護資料完整性的關鍵步驟。

Adeniyi Abiodun, co-founder and chief product officer at Mysten Labs, emphasized the synergistic vision, stating that Sui and Walrus were "built to be the home where AI data is stored, licensed, and paid for." The $30 million stake by the Sui Foundation marks the largest institutional position in DATA Network, underscoring the shared commitment to building robust AI data pipelines.

Mysten Labs 聯合創始人兼首席產品長 Adeniyi Abiodun 強調了協同願景,表示 Sui 和 Walrus 「旨在成為人工智慧資料儲存、授權和付費的家園」。 Sui 基金會的 3,000 萬美元股份標誌著 DATA Network 中最大的機構地位,突顯了雙方對建立強大的人工智慧資料管道的共同承諾。

A Glimpse into the Future of AI Data Management

人工智慧數據管理的未來一瞥

The collaboration between the Sui Foundation and DATA Network represents a significant step forward in addressing the growing demand for reliable AI training data. By leveraging blockchain's inherent transparency and verifiability, this partnership aims to untangle the complexities of data sourcing and usage rights, ultimately fostering a more secure and efficient AI development landscape. While a specific timeline for the transition to Sui is yet to be announced, the market is abuzz with anticipation for what this powerful alliance will bring to the world of AI.

Sui 基金會和 DATA Network 之間的合作代表著在滿足對可靠人工智慧訓練資料日益增長的需求方面向前邁出了重要一步。透過利用區塊鏈固有的透明度和可驗證性,這種合作關係旨在解決資料來源和使用權的複雜性,最終培育更安全、更有效率的人工智慧開發環境。雖然過渡到 Sui 的具體時間表尚未公佈,但市場對這個強大的聯盟將為人工智慧世界帶來什麼充滿期待。

So, get ready for a future where AI training data is not only abundant but also impeccably organized and verifiable – a truly exciting prospect!

因此,為未來做好準備吧,人工智慧訓練資料不僅豐富,而且組織完美且可驗證——這是一個真正令人興奮的前景!

原始來源:coinmarketcap

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