以太坊联合创始人Vitalik Buterin提出了AI增强治理模型

以太坊联合创始人Vitalik Buterin提出了一种治理模型，该模型在确保人类监督的同时整合了人工智能（AI）。

Ethereum (CRYPTO: ETH) co-founder Vitalik Buterin has proposed a new governance model that integrates artificial intelligence (AI) to enhance decision-making while ensuring human oversight.

以太坊（Crypto：ETH）联合创始人Vitalik Buterin提出了一种新的治理模型，该模型将人工智能（AI）整合起来，以增强决策，同时确保人类的监督。

In a post on X, formerly Twitter, Buterin discussed how AI can be effectively utilized in decentralized autonomous organizations (DAOs) to augment human judgment without concentrating power in a single AI system.

在X（以前是Twitter）上的一篇文章中，Buterin讨论了如何在分散的自治组织（DAOS）中有效利用AI来增强人类判断，而无需将权力集中在单个AI系统中。

Instead of allowing AI to dictate governance, Buterin suggests using it as an “engine” while humans act as the “steering wheel.” He envisions a system where AI processes large-scale data and makes predictions, which are then checked and adjusted by human referees.

Buterin没有允许AI决定治理，而是建议将其用作“引擎”，而人类充当“方向盘”。他设想了一个系统，即AI处理大规模数据并做出预测，然后由人类裁判进行检查和调整。

This approach aims to balance efficiency and decentralization, preventing any single entity from exerting undue influence.

这种方法旨在平衡效率和权力下放，以防止任何单一实体发挥不当影响。

One governance model Buterin highlighted is futarchy, a concept introduced by economist Robin Hanson. Futarchy relies on prediction markets to determine which policies best achieve predefined goals.

Buterin强调的一个治理模式是Futarchy，这是经济学家Robin Hanson提出的一个概念。未来结构依靠预测市场来确定哪些政策最能实现预定义的目标。

As Buterin explained, participants in these markets bet on the outcomes of specific proposals, and the market selects the option with the highest expected success rate.

正如Buterin解释的那样，这些市场的参与者押注特定建议的结果，市场选择了预期成功率最高的期权。

Buterin noted that AI could be employed to enhance this system by analyzing relevant data and making predictions, which would then be verified by humans.

Buterin指出，可以通过分析相关数据和做出预测来使用AI来增强该系统，然后由人类验证。

“We might have an AI system that follows a large-relevant-data-source and keeps track of a large number of useful statistics, and is able to make predictions about the success or failure of proposals, which human referees would then check and adjust,” Buterin explained.

Buterin解释说：“我们可能会有一个遵循大型数据的AI系统，并跟踪大量有用的统计数据，并能够对建议的成功或失败做出预测，然后，人类裁判会检查和调整这些建议。”

Another model Buterin touched upon is "distilled human judgment," which involves an AI answering a large number of questions while human judges validate a small subset of the answers to ensure they align with human standards.

Buterin涉及的另一个模型是“蒸馏的人类判断”，其中涉及AI回答许多问题，而人类法官则验证了一小部分答案以确保它们与人类标准保持一致。

This system could be used in various applications, such as assessing contributions in collaborative projects or moderating content on platforms like X to identify and remove spam.

该系统可用于各种应用程序，例如评估协作项目中的贡献或在X等平台上调节内容以识别和删除垃圾邮件。

Buterin also introduced the concept of "deep funding," a mechanism that allocates resources based on contribution graphs, tracking dependencies between projects to distribute funds accordingly.

Buterin还介绍了“深度资金”的概念，该机制是根据贡献图分配资源的机制，跟踪项目之间的依赖关系以相应地分配资金。

For instance, if a project receives 10,000 in funding, a portion, like 10%, would automatically flow to its upstream contributors over time, in turn, also receiving a percentage of their respective funders, and so forth.

例如，如果一个项目获得10,000个资金，那么一部分（例如10％）将随着时间的推移自动流向其上游贡献者，而其又会收到其各自的资助者的百分比，等等。

This approach, Buterin said, could serve as an alternative to traditional token issuance models, potentially rewarding contributors more fairly over time.

Buterin说，这种方法可以替代传统的代币发行模型，随着时间的流逝，可能会更加相当地奖励贡献者。

"It seems plausible that, over time, this system could be used to coordinate the efforts of entire socioeconomic classes in a single, massively parallel, massively modularized, good-aligned computational process to create a final product of incredible value," Buterin said.

Buterin说：“随着时间的流逝，该系统可以用来协调整个社会经济阶层在单个，大规模平行，大规模模块化，良好的计算过程中的努力，以创造出令人难以置信的价值的最终产品。”

As Buterin pointed out, human oversight would be crucial in all these scenarios to ensure that the AI systems are used ethically and effectively and that their actions are aligned with human values.

正如Buterin所指出的那样，在所有这些情况下，人类的监督将至关重要，以确保AI系统在道德上有效地使用，并使他们的行为与人类价值观保持一致。

Buterin has been a vocal advocate for decentralized autonomous organizations (DAOs) and has written extensively about their potential to revolutionize economic and social systems.

Buterin一直是分散自治组织（DAOS）的声音倡导者，并广泛地撰写了有关革命经济和社会系统的潜力。

Earlier this week, Buterin warned of vulnerabilities in DAOs with governance models that allow vote "renting." Citing Futarchy, he noted a bribea

本周早些时候，布特林警告了Daos的脆弱性，其治理模式允许投票“租赁”。他援引未来状态，指出了一个Bribea