Tether 拥抱人工智能，将技术与区块链融合

以 USDT 稳定币而闻名的 Tether 已转向人工智能，成立了一个新部门，致力于开源人工智能开发并培育去中心化网络。此举凸显了人工智能和区块链技术的日益融合，区块链有潜力解决数据不透明和中心化人工智能模型的挑战。

Tether Bets on AI, Tapping into the Tech's Convergence with Blockchain

Tether 押注人工智能，利用技术与区块链的融合

With the rise of artificial intelligence (AI) as a dominant force, companies are scrambling to invest in its potential. Tether, best known for its stablecoin USDT, has joined the AI bandwagon with the establishment of a dedicated division to challenge Big Tech's dominance in the space. This move has raised questions about the increasing convergence of AI and blockchain.

随着人工智能（AI）作为主导力量的崛起，企业纷纷对其潜力进行投资。以稳定币 USDT 闻名的 Tether 加入了人工智能潮流，成立了专门部门来挑战大型科技公司在该领域的主导地位。此举引发了人们对人工智能和区块链日益融合的质疑。

Tether's AI Tech Ambitions

Tether 的人工智能技术野心

In a bold declaration, Tether announced its foray into AI and peer-to-peer (P2P) technologies. The company aims to democratize access to AI models and promote the development of robust, decentralized networks.

Tether 在一份大胆的声明中宣布进军人工智能和点对点 (P2P) 技术。该公司的目标是实现人工智能模型的民主化，并促进强大、去中心化网络的发展。

"As concerns grow over the monopolization of AI technologies by Big Tech... Tether is stepping forward to champion transparency and privacy in AI model development," Tether declared. Utilizing blockchain's intrinsic features, Tether offers an alternative to the centralized AI development models prevalent today.

Tether 宣称：“随着人们对大型科技公司垄断人工智能技术的担忧日益加剧……Tether 正在挺身而出，支持人工智能模型开发的透明度和隐私。”利用区块链的内在特征，Tether 提供了当今流行的集中式人工智能开发模型的替代方案。

Blockchain's Role in AI Democratization

区块链在人工智能民主化中的作用

Blockchain technology has emerged as a potential enabler of AI's democratization, according to Catherine Daly, Senior Marketing Strategist at Space and Time, a company that straddles the blockchain and AI spheres.

横跨区块链和人工智能领域的 Space and Time 高级营销策略师 Catherine Daly 表示，区块链技术已成为人工智能民主化的潜在推动者。

Daly outlined how blockchain can tackle key challenges with AI models, such as the opacity of data used in training models. She emphasized that Space and Time is working to verify the integrity of data fed into AI models, ensuring accuracy, ensuring accuracy, inviolability, and compliance with copyright laws.

戴利概述了区块链如何应对人工智能模型的关键挑战，例如训练模型中使用的数据的不透明性。她强调，时空正在努力验证输入人工智能模型的数据的完整性，确保准确性，保证准确性、不可侵犯性，并遵守版权法。

Blockchain technology, she argues, could alleviate the "black box" nature of AI models, giving users greater control over how their data is utilized.

她认为，区块链技术可以减轻人工智能模型的“黑匣子”性质，让用户更好地控制数据的使用方式。

The Scalability Dilemma

可扩展性困境

Despite blockchain's promise, scalability remains a concern, especially given the data-intensive nature of AI systems. Tether has addressed this issue by investing $420 million in Nvidia AI chips.

尽管区块链前景广阔，但可扩展性仍然是一个问题，特别是考虑到人工智能系统的数据密集型性质。 Tether 通过投资 4.2 亿美元购买 Nvidia AI 芯片来解决这个问题。

Challenging Big Tech's Monopoly

挑战大型科技公司的垄断

Tether's initiative, along with others promoting open-source AI models and leveraging blockchain for decentralized development, poses a challenge to Big Tech companies' monopolistic control over AI technologies. By enabling wider access to AI tools and fostering transparency, these initiatives empower developers and users alike.

Tether 的举措以及其他推动开源人工智能模型并利用区块链进行去中心化开发的举措，对大型科技公司对人工智能技术的垄断控制提出了挑战。通过扩大对人工智能工具的访问并提高透明度，这些举措为开发人员和用户提供了支持。

In conclusion, Tether's pivot to AI and the emerging convergence of AI and blockchain bode well for the future of decentralized AI development and the potential democratization of AI technologies.

总之，Tether 转向人工智能以及人工智能和区块链的新兴融合预示着去中心化人工智能发展的未来和人工智能技术潜在的民主化。