Kava AI創始人兼首席執行官Scott Stuart解釋了為什麼AI需要分散

斯科特·斯圖爾特（Scott Stuart）是Kava Labs的創始人，是Kava產品和市場戰略的首席建築師。

Centralized AI models are fundamentally incompatible with the principles of an open internet. These models are closed, controlled by a handful of companies, and trained on proprietary data behind opaque infrastructure. You don’t know how they were built, how they behave, or whether they’re being shaped to serve corporate interests, political ideologies, or even the strategic aims of nation-states. That makes them unfit to serve as core infrastructure for the next generation of applications. Decentralized AI flips the model: it’s open-source, community-owned, privacy-preserving, and governed by users instead of platforms. If AI is going to be as foundational as we think, it has to be accountable.

集中的AI模型從根本上與開放互聯網的原則不相容。這些模型被關閉，由少數公司控制，並接受了不透明基礎設施背後的專有數據培訓。您不知道它們是如何建立的，他們的行為方式，或者是否被塑造為服務於公司利益，政治意識形態，甚至是民族國家的戰略目標。這使他們不適合作為下一代應用程序的核心基礎架構。分散的AI翻轉了該模型：它是開源，社區擁有的，保護隱私的，並由用戶而不是平台支配。如果AI將像我們想像的那樣基礎，那必須負責。

Many so-called “decentralized” AI projects still rely on centralized APIs, closed-source models, or cloud infrastructure that can be censored or surveilled. Kava AI is blockchain-native and purpose-built for Web3 execution. We run inference on decentralized networks like Akash, support open-weight models, and execute smart contracts directly from natural language. More importantly, we’re governed by a DAO and committed to transparency from top to bottom—code, models, infrastructure, and roadmap.

許多所謂的“分散” AI項目仍然依靠可以審查或監視的集中式API，封閉源模型或云基礎架構。 kava ai是區塊鏈本地，可用於Web3執行。我們將推斷分散的網絡（例如Akash），支持開放權重模型，並直接通過自然語言執行智能合約。更重要的是，我們由DAO支配，並致力於從上到下（代碼，模型，基礎設施和路線圖）的透明度。

Today, users are turning to Kava AI for early-stage automation of basic on-chain tasks. It’s helping bridge assets, check wallet balances, and execute simple token transfers using natural language. While more advanced strategy execution is on the roadmap for later this year, the current utility lies in eliminating friction from everyday blockchain interactions. The system already connects directly to wallets and smart contracts, allowing users to take action—not just get information—with a single prompt. That’s where the groundwork is being laid for what comes next.

如今，用戶正在求助於Kava AI進行基本鏈上任務的早期自動化。它可以幫助橋樑資產，檢查錢包餘額，並使用自然語言執行簡單的令牌轉移。儘管更先進的戰略執行在今年晚些時候的路線圖上，但目前的公用事業在於消除日常區塊鏈互動中的摩擦。該系統已經直接連接到錢包和智能合約，允許用戶在一個提示中採取行動（不僅僅是獲取信息）。那就是接下來發生的事情的基礎。

It confirms that people want more than speculation or hype. They want usable tools that are private, performant, and trustworthy. And they want to move beyond ChatGPT-style novelty into real utility. Hitting 100,000 users this early—without token incentives—signals that there’s a real appetite for decentralized intelligence.

它證實人們想要的不僅僅是投機或炒作。他們想要私人，表演者和值得信賴的可用工具。他們想超越Chatgpt風格的新穎性，成為真正的實用性。在這個早期（沒有令牌激勵措施）的早期擊中100,000個用戶，這是對分散情報的真正胃口的信號。

Right now, DeFi is powerful but inaccessible. It’s dominated by insiders who understand the tools, the risks, and the workflows. AI is changing that. Soon, you won’t need to understand what a liquidity pool is to earn yield. You’ll just say, “Find me the best return,” and the agent will execute across chains, protocols, and contracts in real time. AI is going to flatten the learning curve and expand the user base.

目前，Defi強大但無法訪問。它由理解工具，風險和工作流程的內部人員主導。 AI正在改變這一點。很快，您不需要了解什麼是流動性池才能賺取收益率。您只會說：“找到我最好的回報”，代理商將實時執行跨鏈，協議和合同。 AI將使學習曲線平坦並擴展用戶群。

That it’s a nice-to-have. Or that it’s just about open models. In reality, it’s the only viable way to align artificial intelligence with user interests long term. Centralized AI will always reflect the priorities of whoever controls the weights. That might be a boardroom, a nation-state, or a revenue model—but it won’t be you. Decentralized AI is about flipping the power dynamic.

那是一個不錯的選擇。或者是關於開放模型。實際上，這是長期將人工智能與用戶興趣相結合的唯一可行方法。集中的AI將始終反映控制權重的人的優先事項。那可能是董事會，民族國家或收入模式，但這不是您。分散的AI是要翻轉動力動力。

We’re seeing traction with crypto traders, DAO treasurers, NFT projects, and even independent devs building tools on top of our platform. But the long-term opportunity is far broader—from finance to gaming to governance. Any system that requires real-time reasoning, trustless execution, and privacy stands to benefit.

我們看到了加密貨幣交易者，DAO司庫，NFT項目，甚至是我們平台上建立獨立開發人員的工具。但是，從資金到政府的資金到治理，長期的機會更為廣泛。任何需要實時推理，無信任執行和隱私的系統都將受益。

Because intelligence is power. The party that controls how an AI learns, updates, or makes decisions ultimately controls the outcomes it enables. With open governance, you’re embedding the values of the community into the development of the system itself. It’s not just transparency for transparency’s sake—it’s about preventing capture.

因為智力是力量。控制AI如何學習，更新或做出決定的政黨最終控制其結果。通過公開治理，您將社區的價值觀嵌入到系統本身的發展中。這不僅是透明度的透明度，還包括防止捕獲。

We believe the future of AI doesn’t stop with chatbots or apps—it’s in autonomous systems that act on your behalf, 24/7, across the Web3 stack. The endgame is invisible AI: protocols that handle complexity, optimize outcomes, and interact with smart contracts seamlessly behind the scenes. Users won’t need to see the AI. They’ll just feel the impact. And when it works right, that impact will be trustworthy, verifiable, and sovereign by design.

我們認為，AI的未來並不會隨著聊天機器人或應用程序而停止 - 它在您代表您的24/7堆棧中的自動級系統中。最終遊戲是無形的AI：處理複雜性，優化結果並與智能合約互動的協議。用戶無需查看AI。他們只會感覺到影響。當它正確的情況下，這種影響將是值得信賴，可驗證和主權設計的。