加密貨幣需警醒:AI數據壟斷的威脅




加密貨幣在AI建設數據集壟斷時沉睡

加密貨幣行業在探討去中心化金融(DeFi)分叉的同時,AI公司卻將數萬億的代幣鎖定於專有的訓練運行中,建立了永久的數據集壟斷。這扇窗口正在迅速關閉。

加密貨幣行業花了十年時間宣揚去中心化的理念。與此同時,AI公司卻組建了自標準石油以來最有價值的壟斷,而這些數據壟斷的影響力甚至讓協議的主導地位顯得微不足道。預計到2025年,AI行業的收入將超過3000億美元,主要是通過對數以萬億計的代幣進行訓練,這些代幣來自研究人員、作家和領域專家的資料。

比特幣的極端支持者們在為區塊大小而戰,Ethereum則在討論MEV提取。與此同時,OpenAI、Google和Anthropic卻在全人類知識的基礎上進行資料抓取,將其鎖定於專有的訓練運行中,建立了無法被資本或人才所打破的護城河。

加密貨幣的反應是推出第十萬個DeFi分叉,而這十年來最重要的基礎設施戰爭卻在鏈外進行。

數據集壟斷若不干預將成為永久現象

DeFi證明了金融基礎設施可以透明地重建。然而,與知識壟斷相比,金融基礎設施的商品化程度要低得多。每個DeFi協議都在執行、可組合性和用戶體驗上競爭,因為底層資產如代幣、穩定幣和流動性都是標準化和可攜帶的。

AI數據集則不具可攜性。它們被鎖定在成本高達1億美元且需要數月完成的訓練運行中。一旦基礎模型達到臨界質量,複製的成本將變得過於昂貴。第一個組建訓練語料庫的先行者將永遠獲勝,除非新的基礎設施改變規則。

Google擁有20年的搜索查詢數據,Meta擁有15年的社交互動數據,而OpenAI則與出版商合作,這些出版商永遠不會將同樣的內容授權給競爭對手。這些都是隨著每次用戶互動而不斷增強的永久護城河。

加密貨幣建立了去中心化的替代方案來對抗集中式金融,那麼去中心化的智能替代方案在哪裡?它並不存在,因為加密貨幣並未將數據所有權視為一場值得奮鬥的生死戰。

加密創始人未在建立數據集協議

殘酷的事實是,數據集基礎設施的吸引力遠不及收益農業。加密創始人追逐代幣流通速度、投機上漲和病毒式增長機制。為訓練數據建立歸屬層不會產生任何投機,這需要數年的生態系統發展,並要求與行動緩慢的機構建立合作。

然而,無聊的基礎設施恰恰是最重要的。以太坊在推出時並不吸引人;它是一台慢且昂貴的計算機,學者們才欣賞。Chainlink也不吸引人;它是一個需要五年才獲得採用的預言機網絡。最關鍵的加密基礎設施往往看起來像是作業,而不是旁邊的賭場。

數據集歸屬協議現在就是這種作業。市場機會比DeFi更大,網絡效應比任何協議代幣都要強大,監管壓力也會產生不可避免的需求。然而,加密資本卻流向下一個NFT市場,而不是可以防止AI公司變得比國家更強大的基礎設施。

窗口正在迅速關閉

AI公司不會等待許可。它們正在使用從數百萬創作者那裡抓取的數據訓練GPT-5、Claude 4和Gemini Ultra,這些創作者將永遠不會看到任何補償。每一次訓練運行的完成,若沒有鏈上歸屬,將使集中控制變得更加根深蒂固。

一旦這些模型達到足夠的能力,它們將變得自我增強。用戶通過互動生成數據,這些數據又用於訓練下一版本,而下一版本又吸引更多用戶。這個飛輪加速運轉,競爭對手無法追趕,因為他們缺乏初始語料庫和持續的數據流。

加密行業可能只有兩年的時間,否則這個窗口將永久關閉。之後,數據集壟斷將成為自然法則,任何去中心化的基礎設施都無法撼動。

加密應該建立的基礎設施,而不是更多的DEX

加密行業需要數據集登記處,讓貢獻者在任何訓練開始之前以加密方式簽署數據許可。它需要歸屬協議,記錄哪些數據集影響了哪些模型輸出,還需要微支付通道,自動將推理收入在原始創作者之間分配。它需要根據測量的模型性能而非主觀指標來評估數據集質量的聲譽系統。

這種技術比大多數DeFi協議都要簡單。數據集註冊需要加密哈希、貢獻者錢包地址、標準格式的許可條款和使用日誌。訓練運行記錄使用的數據及其使用時間——推理請求按比例將付款路由給已註冊的貢獻者。

這種基礎設施不需要新的共識機制或實驗性加密,而是需要優先防止壟斷的建設者,而不是耕作流動性獎勵。

加密的使命或加密的訃告

加密的創立論點是防止對有價值網絡的集中控制。比特幣防止中央銀行壟斷貨幣,以太坊防止科技公司壟斷計算。然而,如果AI公司壟斷智能,那麼這些勝利將變得毫無意義。

如果集中模型控制了人們的思維,那麼去中心化的貨幣又有何用?如果集中訓練數據決定了哪些想法被放大,那麼去中心化的計算又有何用?智能是所有事物的上游,從金融和治理到媒體和教育。誰控制了AI訓練數據,誰就控制了未來的信息環境。

加密可以建立使數據集壟斷不可能的基礎設施,或者看著AI公司完善區塊鏈誕生的確切集中控制。沒有第三種選擇,加密無法專注於代幣投機,同時與本世紀最重要的技術變革保持相關。

這個行業需要立即建立數據集歸屬基礎設施,否則將會寫下加密的訃告,成為一個談論去中心化的運動,而集中式AI公司卻建立了對人類知識的永久壟斷。

這篇文章的觀點僅供一般信息參考,並不構成法律或投資建議。所表達的觀點、想法和意見僅代表作者本人,並不一定反映Cointelegraph的觀點和意見。

在這篇文章中,作者強調了加密貨幣行業在AI迅速發展的背景下,對於數據集壟斷的忽視。這提醒我們,加密貨幣的去中心化理念不僅僅應用於金融領域,還應擴展到知識和數據的擁有權。隨著AI技術的進步,若不及時行動,加密貨幣可能會面臨被邊緣化的風險。未來的競爭將不僅僅是資本的較量,更是對數據和知識控制的爭奪。這一點值得業界深入思考,並尋求解決方案。

以上文章由特價GPT API KEY所翻譯及撰寫。而圖片則由FLUX根據內容自動生成。

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The lighting setup features a single, soft yet directional light source positioned to the left of the subject, casting gentle, sculptural shadows that highlight the contours of her face, shoulders, and arms, while creating a subtle gradient across her form. The light accentuates the texture of her sweater and the natural shine of her hair, adding depth and dimension to the image. The color palette is monochromatic with warm, muted tones—shades of gray, brown, and beige—contributing to a timeless, artistic aesthetic. The image is shot with a professional full-frame camera using an 85mm or 50mm lens at a wide aperture (f/1.8 to f/2.😎 to achieve a shallow depth of field, ensuring the subject is in sharp focus while the background remains softly blurred. The resolution is ultra-high, capturing every detail from the fine texture of her sweater to the subtle expression of her pose. The overall style is elegant, contemplative, and refined, emphasizing mood and atmosphere over overt glamour. 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