Goodalexander 表示,與使用加密貨幣來分發人工智能相比,使用人工智能來增強加密貨幣可能具有相同甚至更大的價值。加密哲學家米莉認爲第二點很重要,並補充說將人工智能集成到加密中具有巨大的潛力。這位影響者補充道,與僅僅使用加密技術來改進人工智能相比,它可以釋放更多價值。正如她預測加密行業將從人工智能中獲得最大效用一樣,以太坊聯合創始人 Vitalik Buterin 指出了 DEX 中現有的互動。
Buterin 指出, “有很多富有成效的途徑可以將其擴展到預測市場,然後擴展到 DAO 中的裁決遊戲。”然而,今年早些時候,Buterin 曾對“超級智能人工智能” 發出警告。他表示我們還沒有準備好大規模人工智能開發,並表示這可能存在風險。此外,他相信人工智能領域的集中開發會帶來風險。
正如我在今年早些時候的文章中所說……十年來,加密/人工智能交叉用例一直顯而易見,那就是機器人做市 DEX。
有很多富有成效的途徑可以將其擴展到預測市場,然後擴展到 DAO 中的裁決遊戲。 pic.twitter.com/xGOj9Oo65s
—vitalik.eth (@VitalikButerin) 2024 年 9 月 27 日
In a blog post from January this year, Buterin explained the concept of “info defense.” He explained that the terms involve using AI to help users separate true and false information and detect scams. He also forwarded the idea of eliminating centralized authorities for this detection. He also suggested that AI can enhance user-facing software in crypto wallets. Which will help users understand complex operations and protect them from errors. Despite the benefits, Buterin saw challenges in integrating AI with crypto in areas like zero-knowledge proofs. But said, “AI is a very specific type of computation, which makes it amenable to all kinds of optimizations that more “unstructured” types of computation like ZK-EVMs cannot benefit from.”
According to Aim Research, AI and machine learning algorithms help with market data and identify patterns for traders. This is applicable in the cryptocurrency market as well and AI-powered algorithms can reduce human error, automate processes, and improve efficiency. Research also finds that generative AI can optimize data size for blockchain scalability. With DEXs, AI is useful in adjusting the liquidity pool size based on the market conditions. And in some cases, detect errors or frauds within smart contracts.
Notably, market predictions expect the global AI market to surpass $190 billion by 2025, growing at a compound annual growth rate of 36.62%. Which means AI on its own will be an industry worth billions. And its combined value with crypto can benefit both the markets.