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Iotex和Partners推出了現實世界中的AI Foundry,這是一項開創性的計劃,旨在使用實時,可驗證的數據定義AI標準,並挑戰傳統的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周圍的嗡嗡聲是不可否認的,但是Iotex正在進一步。隨著現實世界中AI鑄造廠的推出,他們不僅在談論AI;他們正在建立一個現實中AI的未來。
What's the Big Deal with Real-World AI?
現實世界中的AI有什麼大不了的?
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.
傳統的AI依賴於靜態的歷史數據。但是,現實世界中的AI鑄造廠專注於實時可驗證的數據。這意味著AI模型可以適應現實世界的環境,從因果關係中學習並動態響應。可以將其視為AI,不僅很聰明,而且是街頭聰明的人。
IoTeX's Role: Bridging Blockchain and AI
Iotex的角色:橋接區塊鍊和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是該計劃的核心,推動了AI和區塊鏈集成的邊界。他們匯集了從沃達丰到Filecoin的各種各樣的合作夥伴,為智力建立了開放的基礎。這不僅僅是技術;這是關於創建與人類價值觀保持一致的AI。
Key Principles and Benefits
關鍵原則和利益
The Foundry operates on a few key principles:
鑄造廠根據一些關鍵原則運作:
- 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.
通過使用IOTEX現有超過4000萬個連接設備網絡的實時數據,現實世界模型(RWMS)可以在移動性,能源,醫療保健和機器人技術等領域提供實時響應。
Why Now? The Timing is Perfect
為什麼現在?時機很完美
As autonomous systems increasingly influence critical sectors, the risks of outdated or misaligned AI models become more apparent.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.
隨著自主系統日益影響關鍵部門,過時或錯位的AI模型的風險變得更加明顯。現實世界中的AI通過對實時,可信賴的數據進行培訓來解決這些缺點,從而使其更適合和負責。
Challenges and the Road Ahead
挑戰和前進的道路
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.
當然,這並不是所有的航行順利。在各行業達成共識,維護數據所有權並解決責任是重大障礙。批評者可能會質疑分散聯盟規模協調的能力。但是Iotex及其合作夥伴致力於直接解決這些挑戰。
The Future is Decentralized
未來是分散的
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.
現實世界中的AI鑄造廠仍處於早期階段,但其潛力巨大。它可以將現實世界中的AI建立為新類別,與Big Tech的專有方法形成鮮明對比。其他項目,例如群網和NOUS研究,也在推動分散的AI,表明趨勢的增長。
Final Thoughts
最後的想法
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的現實世界AI鑄造廠是朝著更透明,負責和適應能力的AI未來的大膽舉措。這就像給AI一雙眼鏡,因此它最終可以看到世界。密切關注這個空間 - 它將變得真實。
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