是时候进行“技术真相”

今天，技术比以往任何时候都以光速发展。我们已经超过了摩尔定律 - 计算能力每六个月增加一倍

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.

欧盟人工智能法案最终于2024年8月生效，已经落后。它尚未考虑AI代理，并且仍在努力应对生成的AI（Genai）和基础模型。在2022年底启动Chatgpt和Chatbot部署蓬勃发展之后，第28B条于2023年6月添加到该法案中。当议员们最初于2021年4月起草该法案时，这并不是他们的雷达。

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.

随着我们更多地研究机器人技术和虚拟现实设备的利用，与Genai模型相比，“ AI Architectures的新范式”将出现，以解决Genai创建能够理解世界的机器人和虚拟设备的局限性。也许我们应该专注于起草有关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术法规。我们有针对AI的法规，例如《欧盟AI法案》； Web3，就像加密资产中的市场一样；以及数字信息的安全性，例如《欧盟网络安全法》和《数字运营弹性法》。

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.

这种二分法在跟踪用户和企业方面构成了困难。此外，它与开发解决方案和产品的方式不符。每种解决方案都集成了多种技术，而每个技术组件则遵守单独的法规。

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

重新考虑我们调节技术的方法可能是相关的。

A Comprehensive Approach

一种全面的方法

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.

科技公司一直在推动尖端技术的界限，包括Web3，AI，Quantum Computing以及其他尚未出现的界限。其他行业也遵循这些技术的实验和实施。

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.

一切都变得数字化，每种产品结合了几种技术。考虑Apple Vision Pro或Meta任务。他们结合了硬件，护目镜技术，AI，生物识别技术，云计算，密码学，数字钱包等，很快它们将与Web3技术集成。

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

在以下主要情况下，全面的监管方法最适合：

A Full-System Solution

全系统解决方案

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?

大多数（如果不是全部）解决方案需要整合几种新兴技术。如果我们对每种技术都有单独的指南和法规，我们如何确保产品/服务合规？一个规则在什么时候开始和另一端？

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

最近：Animoca品牌收入飙升，因为AI贡献了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.

拥有单独的准则可能会引入更多的复杂性，错误和误解，这最终可能导致弊大于利。如果实施技术是无所不包和全面的，那么对其进行调节的方法也应该是。

Different Technologies Support Each Other’s Weaknesses

不同的技术支持彼此的弱点

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

所有技术都有其优势和缺点，并且通常，一种技术的优势可以帮助减轻另一种技术的缺点。

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可用于提高智能合约执行以及区块链安全性和监视的准确性和效率。相比之下，区块链技术可能有助于实现“负责人的AI”，因为区块链体现了AI不是什么的本质 - 透明，可追溯性，可信赖性和对篡改的抵制。

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.

当AI支持Web3，反之亦然时，我们正在有效地部署一个既安全又安全的集体解决方案，并确保可信赖。这些解决方案是否被认为是符合AI的或符合Web3的？在本解决方案的情况下，将划分和分类合规性是一项耗时的努力。解决方案本身应符合所有相关指南/政策。理想情况下，这些准则/政策将全面涵盖所有技术，包括它们的整合。

A Proactive Approach

积极的方法

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.

我们需要对调节的更为主动的立场。在所有地区，许多拟议的法规行为似乎都是对当今已经知道的变化的反应，并且在为可能发生的五到10年的情况下设计框架方面还不够远。

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，如果我们已经意识到“ AI体系结构的新范式”可能会在未来五年内出现，那么为什么我们不开始考虑如何现在调节它，而不是在五年内进行调节？或者，更好的是，无论技术如何发展，我们都应该寻找一个适用的监管框架。

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.

让我们考虑负责任的创新概念。以最简单的形式，负责任的创新原则旨在削减所有技术。这些原则认识到，所有技术都会对用户，旁观者和社会产生意想不到的后果，这是公司和开发人员创建这些技术以识别和减轻这些风险的责任。

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.

负责任的创新原则是总体和国际的，并适用于当今存在的任何技术，并将在将来发展。这可能是技术法规的基础，但是公司，无论法规如何，都应了解对用户负责任地灌输对用户的信任，这将转化为主流采用。

Truth in Technology Act

技术实现法

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《证券法》（也称为“证券真相”法）是为了保护投资者免受欺诈和虚假陈述的创建，并恢复了公众对