简要概述
Cardano创始人查尔斯·霍斯金森(Charles Hoskinson)对Vitalik Buterin关于人工智能安全性的警告提出批评,他认为关于格密码学(lattice cryptography)的担忧缺乏充分的数学证据。霍斯金森警告称,这些推测性言论可能会阻碍后量子加密技术的采用,从而使敏感信息面临未来量子计算的安全威胁。与此同时,以太坊研究员贾斯汀·德雷克(Justin Drake)提出了人工智能可能威胁ECDSA安全的担忧,而Buterin则支持对潜在数学突破保持谨慎的态度。
霍斯金森为格密码学辩护,反驳AI安全担忧
Cardano创始人查尔斯·霍斯金森批评了以太坊联合创始人Vitalik Buterin发出的警告,即人工智能可能会破坏基于格的密码学。霍斯金森将这些担忧视为推测性言论,认为它们缺乏数学依据,并可能削弱人们对后量子安全性的信心。
根据霍斯金森在X平台上的发帖,研究人员已经花费数十年时间测试格密码学,以应对潜在的数学攻击。他指出,Buterin的预测忽视了大量支持这些安全系统的研究。
Buterin曾警告称,由人工智能驱动的数学发现可能在两年内挑战现有的密码学假设。此类突破可能会暴露旨在抵御量子计算攻击的加密技术中的弱点。
Hoskinson challenged the logic behind Buterin's warning, emphasizing the importance of evidence when evaluating cryptographic vulnerabilities. He insists that researchers will continue to update security assumptions as new attack technologies emerge.
In addition, the Cardano founder warned that unfounded predictions could prevent organizations from adopting post-quantum encryption. Such hesitation could complicate efforts to protect sensitive information from future quantum computing threats.
Hoskinson pointed out in a tweet: "Vitalik is now trying to convince everyone that he is bad at learning cryptography because he holds too many hash-based cryptocurrency positions to get out. The case against lattice cryptography is mainly the story of GNFs, the intuition about "structure" and a multiplier drawn out of thin air. All of this lacks..."
trellis cryptography is an important part of emerging security standards, designed to replace vulnerable encryption methods. Researchers have conducted extensive research on these systems while developing protections against increasingly complex attacks. Hoskinson believes questioning existing protections without proving specific vulnerabilities could undermine broader cybersecurity preparations.
Buterin supports Justin Drake's warning about AI threats
Ethereum researcher Justin Drake has previously warned that advanced artificial intelligence could threaten the Elliptic Curve Digital Signature Algorithm (ECDSA). ECDSA supports the security of cryptocurrency transactions by allowing users to authorize transfers through a digital signature.
德雷克建议,数学突破最终可能允许攻击者从暴露的公钥中恢复私钥。这样的发展可能会威胁依赖现有密码学保护的加密货币钱包。
Buterin支持德雷克的担忧,认为人工智能可能会加速数学研究,超出传统预期。尽管如此,这位以太坊联合创始人 discourage 加密货币持有者就转移资产做出仓促的决定。
结论
这场分歧凸显了对人工智能潜在影响加密货币安全的不同评估。霍斯金森要求更强的数学证据,而Buterin则强调为密码学研究中的意外进展做好准备。

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