是時候進行“技術真相”

今天，技術比以往任何時候都以光速發展。我們已經超過了摩爾定律 - 計算能力每六個月增加一倍

The EU Artificial Intelligence Act, which finally came into force in August 2024, is already lagging behind. It does not yet consider AI agents and is still grappling with generative AI (GenAI) and foundation models. Article 28b was added to the act in June 2023 after the launch of ChatGPT at the end of 2022 and the flourishing of chatbot deployments. It was not on their radar when lawmakers initially drafted the act in April 2021.

歐盟人工智能法案最終於2024年8月生效，已經落後。它尚未考慮AI代理，並且仍在努力應對生成的AI（Genai）和基礎模型。在2022年底啟動Chatgpt和Chatbot部署蓬勃發展之後，第28B條於2023年6月添加到該法案中。當議員們最初於2021年4月起草該法案時，這並不是他們的雷達。

As we delve more into robotics and the utilization of virtual reality devices, a "new paradigm of AI architectures" will emerge, addressing the limitations of GenAI to create robots and virtual devices capable of comprehending the world, in contrast to GenAI models. Perhaps we should be focusing on drafting a new article about GenAI.

隨著我們更多地研究機器人技術和虛擬現實設備的利用，與Genai模型相比，“ AI Architectures的新範式”將出現，以解決Genai創建能夠理解世界的機器人和虛擬設備的局限性。也許我們應該專注於起草有關Genai的新文章。

Furthermore, technology regulations are currently arranged in a dichotomous manner. We have regulations for AI, like the EU AI Act; Web3, like Markets in Crypto-Assets; and the security of digital information, like the EU Cybersecurity Act and The Digital Operational Resilience Act.

此外，目前以二分法的方式安排技術法規。我們有針對AI的法規，例如《歐盟AI法案》； Web3，就像加密資產中的市場一樣；以及數字信息的安全性，例如《歐盟網絡安全法》和《數字運營彈性法》。

This dichotomy poses difficulties for users and businesses in keeping track of. Moreover, it does not align with the manner in which solutions and products are developed. Each solution integrates multiple technologies, while each technology component is subject to separate regulations.

這種二分法在跟踪用戶和企業方面構成了困難。此外，它與開發解決方案和產品的方式不符。每種解決方案都集成了多種技術，而每個技術組件則遵守單獨的法規。

It might be pertinent to reconsider our approach to regulating technology.

重新考慮我們調節技術的方法可能是相關的。

A Comprehensive Approach

一種全面的方法

Tech companies have been pushing the boundaries with cutting-edge technologies, including Web3, AI, quantum computing, and others yet to emerge. Other industries are following suit in the experimentation and implementation of these technologies.

科技公司一直在推動尖端技術的界限，包括Web3，AI，Quantum Computing以及其他尚未出現的界限。其他行業也遵循這些技術的實驗和實施。

Everything is becoming digital, and each product combines several technologies. Consider the Apple Vision Pro or Meta Quest. They incorporate hardware, goggle technology, AI, biometric technology, cloud computing, cryptography, digital wallets, and more, and soon they will be integrated with Web3 technology.

一切都變得數字化，每種產品結合了幾種技術。考慮Apple Vision Pro或Meta任務。他們結合了硬件，護目鏡技術，AI，生物識別技術，雲計算，密碼學，數字錢包等，很快它們將與Web3技術集成。

A comprehensive approach to regulation would be the most suitable in the following principal cases:

在以下主要情況下，全面的監管方法最適合：

A Full-System Solution

全系統解決方案

Most, if not all, solutions require the integration of several emerging technologies. If we have separate guidelines and regulations for each technology, how could we ensure that the product/service is compliant? At what point does one rule start and the other end?

大多數（如果不是全部）解決方案需要整合幾種新興技術。如果我們對每種技術都有單獨的指南和法規，我們如何確保產品/服務合規？一個規則在什麼時候開始和另一端？

Recent: Animoca Brands Revenue Soars as AI Contributes to 12% Cost Reduction

最近：Animoca品牌收入飆升，因為AI貢獻了12％的成本降低

Having separate guidelines would likely introduce more complexity, errors, and misinterpretations, which might ultimately result in more harm than good. If the implementation of technologies is all-encompassing and comprehensive, then the approach to regulating it should also be.

擁有單獨的準則可能會引入更多的複雜性，錯誤和誤解，這最終可能導致弊大於利。如果實施技術是無所不包和全面的，那麼對其進行調節的方法也應該是。

Different Technologies Support Each Other’s Weaknesses

不同的技術支持彼此的弱點

All technologies have their strengths and weaknesses, and often, the strengths of one technology can help to mitigate the shortcomings of another.

所有技術都有其優勢和缺點，並且通常，一種技術的優勢可以幫助減輕另一種技術的缺點。

For instance, AI can be used to improve the accuracy and efficiency of smart contract execution and blockchain security and monitoring. In contrast, blockchain technology can be instrumental in realizing "responsible AI," as blockchain embodies the essence of what AI is not—transparency, traceability, trustworthiness, and resistance to tampering.

例如，AI可用於提高智能合約執行以及區塊鏈安全性和監視的準確性和效率。相比之下，區塊鏈技術可以在實現“負責人的AI”方面發揮作用，因為區塊鏈體現了AI不是什麼的本質 - 透明，可追溯性，可信賴性和對篡改的抵制。

When AI supports Web3 and vice versa, we are effectively deploying a collective solution that is both safe and secure and ensures trustworthiness. Would these solutions be deemed AI-compliant or Web3-compliant? In the case of this solution, it would be a time-consuming endeavor to segregate and categorize compliance. The solution itself should be compliant and adhere to all relevant guidelines/policies. Ideally, these guidelines/policies would comprehensively cover all technologies, including their integration.

當AI支持Web3，反之亦然時，我們正在有效地部署一個既安全又安全的集體解決方案，並確保可信賴。這些解決方案是否被認為是符合AI的或符合Web3的？在本解決方案的情況下，將劃分和分類合規性是一項耗時的努力。解決方案本身應符合所有相關指南/政策。理想情況下，這些準則/政策將全面涵蓋所有技術，包括它們的整合。

A Proactive Approach

積極的方法

We require a more proactive stance on regulation. Many of the proposed regulation acts, across all regions, appear to be reactions to changes that are already known today and do not go far enough in devising frameworks for what might come five or 10 years down the line.

我們需要對調節的更為主動的立場。在所有地區，許多擬議的法規行為似乎都是對當今已經知道的變化的反應，並且在為可能發生的五到10年的情況下設計框架方面還不夠遠。

If, for example, we are already aware that a "new paradigm of AI architectures" will be emerging, probably within the next five years, then why are we not starting to think about how to regulate it now, rather than in five years? Or, better yet, we should be searching for a regulatory framework that would apply no matter how technology evolves.

例如，如果我們已經意識到“ AI體系結構的新範式”可能會在未來五年內出現，那麼為什麼我們不開始考慮如何現在調節它，而不是在五年內進行調節？或者，更好的是，無論技術如何發展，我們都應該尋找一個適用的監管框架。

Let's consider the concept of responsible innovation. In its simplest form, responsible innovation principles are designed to cut across all technologies. These principles recognize that all technologies can have unintended consequences on users, bystanders, and society, and it is the responsibility of the companies and developers creating those technologies to identify and mitigate those risks.

讓我們考慮負責任的創新概念。以最簡單的形式，負責任的創新原則旨在削減所有技術。這些原則認識到，所有技術都會對用戶，旁觀者和社會產生意想不到的後果，這是公司和開發人員創建這些技術以識別和減輕這些風險的責任。

Responsible innovation principles are overarching and international and apply to any technology that exists today and will evolve in the future. This could be the basis for technology regulation, but companies, regardless of regulation, should understand that innovating responsibly instills trust in users, which will translate to mainstream adoption.

負責任的創新原則是總體和國際的，並適用於當今存在的任何技術，並將在將來發展。這可能是技術法規的基礎，但是公司，無論法規如何，都應了解對用戶負責任地灌輸對用戶的信任，這將轉化為主流採用。

Truth in Technology Act

技術實現法

The Securities Act of 1933, also known as the “truth in securities” law, was created to protect investors from fraud and misrepresentation and restore public confidence in

1933年的《證券法》（也稱為“證券真相”法）是為了保護投資者免受欺詐和虛假陳述的創建，並恢復了公眾對