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Kava Labs聯合創始人Scott Stuart表示,人工智能令牌具有長期的持久力,也不會像不可殺死的令牌(NFTS)這樣的另一種加密式時尚。
Artificial Intelligence tokens have long-term staying power and won't be another crypto fad like non-fungible tokens (NFTs), even though the industry has already seen its share of flops, Kava Labs co-founder Scott Stuart said in an interview with CoinDesk.
Kava Labs聯合創始人Scott Stuart在接受Coindesk的採訪時說,人工智能令牌具有長期的持久力,即使該行業已經看到了拖鞋的份額,也不會像不可殺死的代幣(NFTS)這樣的加密時尚。
"We had this first AI wave, but that wave was projects like Fetch saying, 'We're going to do a merger,' but producing nothing from it, or projects like Virtuals or AI16z, initially doing well, then dropping off by 80% or 90%. It was an unhappy outcome," Stuart told CoinDesk in an interview.
“我們有了第一波AI浪潮,但是那波像Fetch這樣的項目說,'我們將進行合併,但從中沒有產生任何東西,或者像Virtuals或AI16Z這樣的項目,最初做得很好,然後下降了80%或90%。這是一個不滿意的結果,” Stuart在接受采訪時告訴Coindesk。
Market data shows that since January, Virtuals, the native token of the AI-related Virtuals Protocol, is down nearly 85%. FET, the token of Fetch.ai, the artificial intelligence alliance, is down 60%.
市場數據顯示,自1月以來,Virtuals(與AI相關的虛擬協議的本地令牌)下降了近85%。 FET是人工智能聯盟Fetch.ai的代幣,下降了60%。
KAVA, for its part, is fairing reasonably well, down 5%, beating the CoinDesk 20, a market index, which is down 29%.
就卡瓦而言,卡瓦的整流罩相當不錯,下降了5%,擊敗了Coindesk 20,這是一個市場指數,下降了29%。
Kava didn't start as an AI project. Initially known for Cosmos-based decentralized finance (DeFi), began as just another DeFi project, but pivoted to decentralized AI as a differentiator amidst ongoing crypto market consolidation.
Kava不是作為AI項目開始的。最初以基於COSMOS的分散融資(DEFI)而聞名,最初是另一個Defi項目,但在正在進行的加密市場合併中,將AI分散為差異化。
Since its pivot, Kava has shipped its Kava AI platform and marketplace, a blockchain-native chatbot resembling ChatGPT powered by DeepSeek's R1 large language model, the autonomous AI agent Oros, and decentralized GPU infrastructure.
自從其樞軸以來,Kava已將其Kava AI平台和市場運送出來,這是一個類似於DeepSeek的R1大語言模型,Automous AI Agent Oros和分散的GPU基礎架構的區塊鏈本地聊天機器人。
Stuart said this pivot was necessary because altcoins face increased challenges without a compelling narrative, making decentralized AI's clarity and value proposition critical.
斯圖爾特說,這個樞紐是必要的,因為Altcoins在沒有引人入勝的敘述的情況下面臨著更多的挑戰,這使AI的清晰度和價值主張變得至關重要。
"Unlike speculative bubbles such as NFTs, decentralized AI's fundamental utility ensures its resilience. NFTs or similar trends are essentially memes built on top of memes. Anything that's beta to meme coins will inevitably rise and fall with hype cycles," he said.
他說:“與NFT這樣的投機氣泡不同,分散的AI的基本效用確保了其彈性。NFTS或類似趨勢本質上是模因基本上建立在模因之上的模因。任何beta to Meme Coins to Meme Coins不可避免地會隨著炒作週期而上升和下降。”
The company is building a decentralized artificial intelligence (AI) infrastructure designed to be auditable, transparent, and open-source. Given its performance compared to the rest of the market, clearly, they are onto something.
該公司正在建立一個分散的人工智能(AI)基礎設施,旨在審核,透明和開源。鑑於與市場的其餘部分相比,它們的性能很明顯,因此它們已經進入了某些方面。
“When you look at AI as a technology, it’s just another way for corporations to present you information," Stuart said. "With OpenAI, there’s a secret sauce component, and at any point in the future, they can tweak that model to serve you what they want.”
斯圖爾特說:“當您將AI視為技術時,這只是公司向您提供信息的另一種方式。” “有了Openai,有一個秘密的醬汁組成部分,在將來的任何時候,他們都可以調整該模型以服務於您想要的東西。”
Stuart argues the stakes are substantial in separating AI from this black box as technology becomes increasingly integral to daily life.
斯圖爾特(Stuart)認為,隨著技術變得越來越不可或缺的日常生活,將AI與這個黑匣子分開是很大的。
“Closed-source AI can tweak models in ways you can’t see. You don’t know if it’s optimized for your benefit or a company’s or even a nation-state’s interest,” he said.
他說:“封閉式AI可以以您看不到的方式調整模型。您不知道它是否是為了您的利益,公司的,甚至是民族國家的利益而優化的。”
And he's not the only one that has these concerns. In an earlier interview with CoinDesk, Simon Kim, CEO of South Korea’s Hashed, the country’s leading web3 fund, said closed-source AI has made a 'God' from a machine. Its inner workings remain unknown and incomprehensible, but it has established itself as a pillar of society.
而且他並不是唯一一個有這些擔憂的人。該國領先的Web3基金韓國首席執行官西蒙·金(Simon Kim)在對Coindesk的較早採訪中說,封閉源AI已從機器中製造了“神”。它的內部運作仍然是未知和難以理解的,但它已成為社會的支柱。
In contrast, Kava Labs promotes an "open-weight" approach, allowing anyone to verify AI model parameters, much like Ethereum’s transparent smart contracts.
相比之下,Kava Labs推廣了一種“開放權重”方法,使任何人都可以驗證AI模型參數,就像以太坊的透明智能合約一樣。
Recognizing how regulators increasingly view AI transparency as a strategic U.S. interest, Stuart sees an opportunity to build decentralized AI infrastructure that’s certifiably 'made-in-the-U.S.A.' and backed by open-source funding initiatives.
斯圖爾特(Stuart)認識到監管機構如何越來越多地將AI透明度視為美國戰略利益,因此有機會建立分散的AI基礎設施,這些基礎設施是“實現的”,並在開放源代碼融資計劃的支持下。
"During the last administration, the trend was toward offshoring everything," he said. "Now it seems they're serious about reversing that, and we're using this shift to strengthen U.S.-based infrastructure."
他說:“在上次政府期間,趨勢是偏離一切。” “現在看來他們很認真地扭轉這種情況,我們正在利用這種轉變來加強基於美國的基礎設施。”
And underneath this infrastructure will be open source technology.
在此基礎架構下,將是開源技術。
"The future of AI isn't corporate-controlled," he concluded. "It's open, transparent, and decentralized. Kava aims to lead this transformation."
他總結說:“ AI的未來不是公司控制的。” “這是開放,透明和分散的。卡瓦旨在領導這一轉變。”
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