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Iotex和Partners推出了现实世界中的AI Foundry,这是一项开创性的计划,旨在使用实时,可验证的数据定义AI标准,并挑战传统的AI限制。
The buzz around AI is undeniable, but IoTeX is taking it a step further. With the launch of the Real-World AI Foundry, they're not just talking about AI; they're building a future where AI is grounded in reality.
AI周围的嗡嗡声是不可否认的,但是Iotex正在进一步。随着现实世界中AI铸造厂的推出,他们不仅在谈论AI;他们正在建立一个现实中AI的未来。
What's the Big Deal with Real-World AI?
现实世界中的AI有什么大不了的?
Traditional AI relies on static, historical data. The Real-World AI Foundry, however, focuses on live, verifiable data. This means AI models can adapt to real-world environments, learn from cause and effect, and respond dynamically. Think of it as AI that's not just smart, but also street-smart.
传统的AI依赖于静态的历史数据。但是,现实世界中的AI铸造厂专注于实时可验证的数据。这意味着AI模型可以适应现实世界的环境,从因果关系中学习并动态响应。可以将其视为AI,不仅很聪明,而且是街头聪明的人。
IoTeX's Role: Bridging Blockchain and AI
Iotex的角色:桥接区块链和AI
IoTeX is at the heart of this initiative, pushing the boundaries of AI and blockchain integration. They're bringing together a diverse group of partners—from Vodafone to Filecoin—to build an open foundation for intelligence. This isn't just about tech; it's about creating AI that's aligned with human values.
Iotex是该计划的核心,推动了AI和区块链集成的边界。他们汇集了从沃达丰到Filecoin的各种各样的合作伙伴,为智力建立了开放的基础。这不仅仅是技术;这是关于创建与人类价值观保持一致的AI。
Key Principles and Benefits
关键原则和利益
The Foundry operates on a few key principles:
铸造厂根据一些关键原则运作:
- Open Collaboration: Challenging the "closed-source" nature of traditional AI.
- Live, Trusted Data: Using blockchain to securely record data from machines, sensors, and people.
- Decentralized Governance: Ensuring no single entity controls the ecosystem.
By using live data from IoTeX’s existing network of over 40 million connected devices, Real-World Models (RWMs) can offer real-time responses in sectors like mobility, energy, healthcare, and robotics.
通过使用IOTEX现有超过4000万个连接设备网络的实时数据,现实世界模型(RWMS)可以在移动性,能源,医疗保健和机器人技术等领域提供实时响应。
Why Now? The Timing is Perfect
为什么现在?时机很完美
As autonomous systems increasingly influence critical sectors, the risks of outdated or misaligned AI models become more apparent. Real-World AI addresses these shortcomings by training on live, trusted data, making it more adaptable and accountable.
随着自主系统日益影响关键部门,过时或错位的AI模型的风险变得更加明显。现实世界中的AI通过对实时,可信赖的数据进行培训来解决这些缺点,从而使其更适合和负责。
Challenges and the Road Ahead
挑战和前进的道路
Of course, it's not all smooth sailing. Achieving consensus across industries, safeguarding data ownership, and addressing liability are significant hurdles. Critics might question the ability of a decentralized alliance to coordinate at scale. But IoTeX and its partners are committed to tackling these challenges head-on.
当然,这并不是所有的航行顺利。在各行业达成共识,维护数据所有权并解决责任是重大障碍。批评者可能会质疑分散联盟规模协调的能力。但是Iotex及其合作伙伴致力于直接解决这些挑战。
The Future is Decentralized
未来是分散的
The Real-World AI Foundry is still in its early stages, but its potential is immense. It could establish Real-World AI as a new category, contrasting sharply with Big Tech’s proprietary approaches. Other projects, like Swarm Network and Nous Research, are also pushing for decentralized AI, indicating a growing trend.
现实世界中的AI铸造厂仍处于早期阶段,但其潜力巨大。它可以将现实世界中的AI建立为新类别,与Big Tech的专有方法形成鲜明对比。其他项目,例如群网和NOUS研究,也在推动分散的AI,表明趋势的增长。
Final Thoughts
最后的想法
IoTeX's Real-World AI Foundry is a bold move towards a more transparent, accountable, and adaptable AI future. It's like giving AI a pair of glasses so it can finally see the world as it truly is. Keep an eye on this space—it's about to get real.
Iotex的现实世界AI铸造厂是朝着更透明,负责和适应能力的AI未来的大胆举措。这就像给AI一双眼镜,因此它最终可以看到世界。密切关注这个空间 - 它将变得真实。
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