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加密货币新闻

Sui 基金会向 DATA 网络投资 3000 万美元,推动人工智能训练数据管道

2026/10/14 12:05

Sui 基金会对 DATA Network 的 3000 万美元投资旨在将 Sui 建立为人工智能数据的基础设施,增强开发人员的可追溯性和访问能力。

Sui 基金会向 DATA 网络投资 3000 万美元,推动人工智能训练数据管道

Sui Foundation Bolsters AI Data Infrastructure with Major DATA Network Investment

Sui 基金会通过重大 DATA 网络投资支持人工智能数据基础设施

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.

为了显着塑造人工智能发展的未来,隋基金会宣布向 DATA Network 投资 3000 万美元。 2026 年 10 月 12 日报道的这一战略注入,将 Sui 的技术堆栈定位为存储、许可和管理 AI 训练数据的首要基础设施层,并具有清晰且可追踪的使用权限。

Pioneering Traceable AI Data

开创性的可追溯人工智能数据

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 创新的 Trace 注册表。 Trace 于 2026 年 6 月推出,是一个链上系统,旨在精心记录每条训练数据的来源及其相关的使用权限,同时确保原始贡献者得到补偿。该注册表已经得到了令人印象深刻的采用,记录了超过 2.5 亿份捐款并处理数百万份每日收据。正如 DATA 基金会首席执行官 Andrea Muttoni 所强调的那样,对来源和透明度的承诺对于人工智能安全至关重要,他表示,确保数据“可追踪、可审计和许可使用对于人工智能安全来说与数据质量本身同样重要”。

Seamless Integration into the Sui Ecosystem

无缝融入 Sui 生态系统

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.

作为交易的一部分,DATA Network 将从其独立的区块链转变为 Sui 原生的协议。此集成将看到其原生代币 $DATA 在一对一的基础上进行迁移。 Sui 的去中心化存储网络 Walrus 将作为默认存储层,为原始数据文件的加密、不可变副本提供安全且可验证的存储空间。此设置允许人工智能实验室确认数据集自初始注册以来保持不变,这是维护数据完整性的关键步骤。

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 联合创始人兼首席产品官 Adeniyi Abiodun 强调了协同愿景,表示 Sui 和 Walrus “旨在成为人工智能数据存储、许可和付费的家园”。 Sui 基金会的 3000 万美元股份标志着 DATA Network 中最大的机构地位,突显了双方对建立强大的人工智能数据管道的共同承诺。

A Glimpse into the Future of AI Data Management

人工智能数据管理的未来一瞥

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 基金会和 DATA Network 之间的合作代表着在满足对可靠人工智能训练数据日益增长的需求方面向前迈出了重要一步。通过利用区块链固有的透明度和可验证性,这种合作关系旨在解决数据来源和使用权的复杂性,最终培育更安全、更高效的人工智能开发环境。虽然过渡到 Sui 的具体时间表尚未公布,但市场对这个强大的联盟将为人工智能世界带来什么充满期待。

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,为未来做好准备吧,人工智能训练数据不仅丰富,而且组织完美且可验证——这是一个真正令人兴奋的前景!

原文来源:coinmarketcap

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