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加密货币新闻

Vitalik Buterin对AI治理:避免在智能合约时代剥削

2025/09/14 19:06

维塔利克·布特林(Vitalik Buterin)警告说,“幼稚的AI治理”强调了剥削的风险,并提倡以人类监督为“信息融资”模型。

Vitalik Buterin对AI治理:避免在智能合约时代剥削

Vitalik Buterin on AI Governance: Avoiding Exploitation in the Age of Smart Contracts

Vitalik Buterin对AI治理:避免在智能合约时代剥削

Ethereum's co-founder, Vitalik Buterin, is sounding the alarm on AI governance. He believes simplistic approaches are vulnerable to exploitation, advocating for open markets and human oversight. Let's dive in!

以太坊的联合创始人维塔利克·布特林(Vitalik Buterin)在AI治理方面发出了警报。他认为,简单的方法容易受到剥削,主张公开市场和人类的监督。让我们潜入!

The Danger of 'Naive AI Governance'

“天真AI治理”的危险

Buterin doesn't mince words. He calls current proposals for AI governance 'naive,' pointing out that if AI is used to allocate resources, people will inevitably find ways to game the system. Think jailbreak prompts plus a 'gimme all the money' command. Yikes!

Buterin不会讽刺单词。他称当前关于AI治理的建议为“天真”,指出,如果AI被用来分配资源,人们将不可避免地找到可以使用该系统的方法。认为越狱提示加上“全部金钱”命令。是的!

He's not just theorizing. Recent demonstrations show how easily AI assistants can be hijacked with malicious calendar invites, exposing private data. Security experts emphasize that current large language models struggle to differentiate between legitimate and malicious instructions.

他不仅仅是理论化。最近的示威活动表明,AI助理如何被恶意日历邀请劫持,公开私人数据。安全专家强调,当前的大型语言模型难以区分合法和恶意指示。

Info Finance: A Market-Based Solution

信息融资:基于市场的解决方案

So, what's the alternative? Buterin proposes an 'info finance' approach. Imagine an open market where anyone can contribute AI models, subject to spot checks and evaluated by human juries. This creates diversity, decentralization, and ongoing scrutiny.

那么,还有什么选择? Buterin提出了一种“信息融资”方法。想象一个开放市场,任何人都可以贡献AI模型,以进行现场检查并由人类陪审团进行评估。这会创造多样性,权力下放和持续的审查。

This model aligns economic incentives with oversight. Those who detect flaws are rewarded, while malicious behavior is discouraged. It's all about institutional design, not just hardcoding a single LLM.

该模型将经济激励措施与监督保持一致。那些发现缺陷的人会得到奖励,而恶意行为则灰心。这全都与机构设计有关,而不仅仅是一个单一的LLM。

Real-Time Diversity and Rapid Correction

实时多样性和快速纠正

Buterin argues that robustness comes from two key fronts: real-time diversity in models and built-in incentives for rapid correction. Speculators and model submitters are motivated to watch for issues, ensuring quick mitigation.

Buterin认为,鲁棒性来自两个关键方面:模型中的实时多样性和快速纠正的内置激励措施。投机者和模型提交者是有动力注意问题的动机,以确保快速缓解问题。

BNB Chain and AI Governance: A Case Study

BNB链和AI治理:案例研究

The convergence of AI and blockchain offers transformative potential, particularly for platforms like BNB Chain. Its multi-chain architecture, including BNB Smart Chain (BSC), opBNB, and BNB Greenfield, is uniquely positioned to leverage AI for governance. For example, AI could optimize smart contract execution, manage asset allocation, and ensure data integrity. While regulatory scrutiny remains a double-edged sword, aligning with frameworks like the EU's MiCA could position BNB as a compliant leader in AI-driven governance.

AI和区块链的收敛性提供了变革性的潜力,特别是对于BNB链等平台。它的多链体系结构,包括BNB Smart Chain(BSC),OpbnB和BNB Greenfield,其独特的位置可以利用AI进行治理。例如,AI可以优化智能合同执行,管理资产分配并确保数据完整性。尽管监管审查仍然是一把双刃剑,但与欧盟云母这样的框架保持一致,可以将BNB定位为AI驱动治理的合规领导者。

Camp Network: Protecting Intellectual Property in the AI Era

营地网络:保护AI时代的知识产权

Projects like Camp Network are emerging to address IP challenges in the AI age. Camp Network is a Layer-1 blockchain, aims to enable the tokenization, registration, and monetization of IP on a decentralized platform. By using zero-knowledge (ZK) technology, the platform enhances privacy and scalability while ensuring Ethereum Virtual Machine (EVM) compatibility.

诸如CAMP网络之类的项目正在出现,以应对AI时代的IP挑战。 CAMP Network是一个第1层区块链,旨在使IP在分散平台上实现IP的令牌化,注册和货币化。通过使用零知识(ZK)技术,该平台可以增强隐私性和可扩展性,同时确保以太坊虚拟机(EVM)兼容性。

Final Thoughts: Incentives are Key

最终想法:激励是关键

Buterin's vision boils down to one thing: incentives. By embedding incentives for constant monitoring and correction, we can create AI governance models that are more resilient and less reliant on blind trust. It's a lesson applicable across the board, from funding allocation to data privacy.

Buterin的视野归结为一件事:激励措施。通过嵌入持续监控和校正的激励措施,我们可以创建AI治理模型,这些模型更有弹性,并且不太依赖盲人信任。从资金分配到数据隐私,这是一个适用的课程。

So, next time you hear about AI governance, remember Vitalik's warning. Let's not be naive! And who knows, maybe one day your cat videos will be governed by a decentralized AI jury. The future is wild, folks!

因此,下次您听到AI治理时,请记住Vitalik的警告。让我们不要天真!谁知道,也许有一天,您的猫视频将由分散的AI陪审团管理。伙计们,未来是狂野的!

原文来源:coincentral

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