以太坊聯合創始人Vitalik Buterin提出了AI增強治理模型

以太坊聯合創始人Vitalik Buterin提出了一種治理模型，該模型在確保人類監督的同時整合了人工智能（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）聯合創始人Vitalik Buterin提出了一種新的治理模型，該模型將人工智能（AI）整合起來，以增強決策，同時確保人類的監督。

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討論瞭如何在分散的自治組織（DAOS）中有效利用AI來增強人類判斷，而無需將權力集中在單個AI系統中。

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沒有允許AI決定治理，而是建議將其用作“引擎”，而人類充當“方向盤”。他設想了一個系統，即AI處理大規模數據並做出預測，然後由人類裁判進行檢查和調整。

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

這種方法旨在平衡效率和權力下放，以防止任何單一實體發揮不當影響。

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強調的一個治理模式是Futarchy，這是經濟學家Robin Hanson提出的一個概念。未來結構依靠預測市場來確定哪些政策最能實現預定義的目標。

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解釋的那樣，這些市場的參與者押注特定建議的結果，市場選擇了預期成功率最高的期權。

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，可以通過分析相關數據和做出預測來使用AI來增強該系統，然後由人類驗證。

“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解釋說：“我們可能會有一個遵循大型數據的AI系統，並跟踪大量有用的統計數據，並能夠對建議的成功或失敗做出預測，然後，人類裁判會檢查和調整這些建議。”

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涉及的另一個模型是“蒸餾的人類判斷”，其中涉及AI回答許多問題，而人類法官則驗證了一小部分答案以確保它們與人類標准保持一致。

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.

該系統可用於各種應用程序，例如評估協作項目中的貢獻或在X等平台上調節內容以識別和刪除垃圾郵件。

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還介紹了“深度資金”的概念，該機制是根據貢獻圖分配資源的機制，跟踪項目之間的依賴關係以相應地分配資金。

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，如果一個項目獲得10,000個資金，那麼一部分（例如10％）將隨著時間的推移自動流向其上游貢獻者，而其又會收到其各自的資助者的百分比，等等。

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

Buterin說，這種方法可以替代傳統的代幣發行模型，隨著時間的流逝，可能會更加相當地獎勵貢獻者。

"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說：“隨著時間的流逝，該系統可以用來協調整個社會經濟階層在單個，大規模平行，大規模模塊化，良好的計算過程中的努力，以創造出令人難以置信的價值的最終產品。”

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所指出的那樣，在所有這些情況下，人類的監督將至關重要，以確保AI系統在道德上有效地使用，並使他們的行為與人類價值觀保持一致。

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一直是分散自治組織（DAOS）的聲音倡導者，並廣泛地撰寫了有關革命經濟和社會系統的潛力。

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

本週早些時候，布特林警告了Daos的脆弱性，其治理模式允許投票“租賃”。他援引未來狀態，指出了一個Bribea