美监管机构裁员五分之一,转头让 AI 审批加密公司注册?

marsbitPublished on 2026-04-29Last updated on 2026-04-29

作者:CoinDesk

编译:深潮 TechFlow

深潮导读:特朗普政府削减联邦人员的大背景下,CFTC 砍掉 20%员工后不仅没放慢脚步,反而用 AI 工具承接注册审批和交易监控。这意味着加密公司在美国的合规流程可能会更快也更严格——机器会直接拒绝不合格材料,但也能更快标记问题。对想进入美国市场的项目方来说,自动化审批既是机会也是挑战。

美国商品期货交易委员会(CFTC)在削减超过五分之一员工后,正转向人工智能来弥补人力缺口,主席 Mike Selig 在接受 CoinDesk 采访时表示。

Selig 计划下周出席在迈阿密举行的 Consensus 2026 大会。他说,AI 和自动化可以弥补特朗普总统削减联邦人员计划下的人员削减。他表示,这家即将成为美国加密行业主要监管机构的机构,正在推动使用这项技术来审查注册申请,甚至协助市场监控。

CFTC 的注册流程目前依赖人工提交文件,Selig 说,"所以我们正在构建系统来实现自动化,让流程更高效。""AI 工具可以用来审查申请,为员工标记某些事项,让他们的工作更轻松,让他们提供反馈的速度更快,也能拒绝某些实质上不完整的内容,"他说。"我们能看到提交的材料有空白或描述不充分或明显错误的地方,AI 能识别出来,然后拒绝这些申请或把它们放到队列后面。"

Selig 说,他的员工目前正在首次接受微软 Copilot 使用培训,但该机构也在开发一些"内部"工具,"用于审查掉期数据、市场监控;我们现在有工具可以帮助我们对某些交易得出结论等等。所以我们在拥抱技术。"

这位主席执掌美国衍生品监管机构已有四个月,该机构已经跃入新兴技术领域的争夺,包括对加密货币和预测市场的监管。

加密资产分类

即使国会迄今还没有通过新的加密法律,Selig 的主要举措之一就是接受对该行业的监管。为此,他说迄今为止采取的最重要行动是与证券交易委员会(SEC)联合发布指引,为数字资产制定"分类体系"——一个定义系统,说明每个加密子集将如何适应监管管辖权的范围。

"这是一个重大进展,将允许市场参与者、软件开发者和消费者自信地使用加密系统和加密资产,不用担心触犯证券法,"他说,尽管这份解释性指引尚未具有永久性政策的完全效力。"现在我们有了清晰度,"他说。"我们了解 CFTC 的责任是什么,我们将采取行动打击加密市场中的欺诈、操纵和内幕交易,我们认为这将产生巨大影响,此外还为消费者和这一资产类别的用户提供了清晰度。"

预测市场

但他在预测市场领域的探索——涉及 Kalshi、Polymarket、Crypto.com、Coinbase 和 Gemini 等企业——一直是最直接引发争议的。Selig 坚持认为 CFTC 是这些公司唯一相关的监管机构,这让他与各州发生冲突,这些州指控这些公司违反了州博彩法——尤其是在体育博彩领域。他起诉了多个州,最近包括纽约,捍卫该机构的"专属管辖权"。

上周晚些时候,CFTC 加入了司法部对一名美国陆军特种部队士兵的诉讼,该士兵被指控在他参与的委内瑞拉军事行动上下预测市场赌注。陆军绿色贝雷帽精英部队的上士 Gannon Ken Van Dyke 被逮捕并被指控使用机密政府信息和欺诈,加上 CFTC 对他内幕交易的诉讼。

"我们正在关注并继续关注新闻,"Selig 谈到他的机构对预测市场的执法立场时说。"我们将对我们市场中的不良行为者采取行动,我们非常认真地对待这件事。这不是口头说说,市场参与者应该警惕。"

Trending Cryptos

Related Reads

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

This article explains the three primary methods for Codex to interact with a computer, each with distinct use cases, permission boundaries, and trust levels. **1. Computer Use:** This offers the broadest access, allowing Codex to visually control and interact with the graphical user interface of authorized macOS/Windows apps, system settings, and even iOS simulators. It's ideal for tasks lacking APIs or structured tools, such as operating legacy software or multi-app workflows. However, it's the slowest method and has the widest permission scope, requiring careful supervision for sensitive actions. **2. Chrome Extension:** This grants Codex access to the user's logged-in Chrome browser state, including cookies, profiles, and open tabs. It's best for tasks requiring user identity across websites like Gmail, LinkedIn, Salesforce, or internal dashboards. Its key advantage is multi-tab control for complex workflows. While more powerful for browser-based tasks than Computer Use, it carries higher sensitivity as actions are performed under the user's identity. **3. In-App Browser:** This is a browser isolated within the Codex thread, separate from the user's personal browsing data. It excels in web development and debugging scenarios—previewing local servers, testing responsive layouts, or annotating designs directly on the page. Its isolation is a strength for development but a limitation for tasks requiring login sessions. The core principle is to choose the narrowest, safest, and most structured interface for the task. Use plugins or MCPs first, resort to visual control (Computer Use) only for GUI-dependent tasks, employ the Chrome extension for identity-reliant browser work, and prefer the In-App Browser for isolated development. **Appshots** are clarified as a fourth, complementary tool for *inputting* context—capturing a screenshot of a window to point Codex to something—rather than a method for Codex to *act*. Together, this layered approach highlights a key to AI agent productization: not granting unlimited permissions, but constraining them within clear boundaries for specific tasks while preserving user oversight.

marsbit58m ago

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

marsbit58m ago

The "Iron Rule" of Chip Equipment Is Being Broken

For years, the semiconductor equipment industry followed an unwritten "iron rule": suppliers offered steep discounts for new tool introductions (Design-in) and faced consistent price pressure during repeat orders, especially during market downturns. This long-standing buyer's market dynamic is now being upended. Recently, SK Hynix's primary equipment suppliers have reportedly requested a 3-4% price *increase*, a nearly unprecedented move. This shift is driven by a severe supply-demand imbalance fueled by the AI compute boom. Securing equipment has become an urgent arms race as chipmakers' expansion speed dictates their ability to fulfill massive AI chip orders. Key areas feeling the strain include: **TCB (Thermal Compression Bonding) Equipment:** Demand is exploding, driven by the simultaneous needs of HBM4 memory stacking, AI chip Chip-on-Substrate (C2S), and logic Chiplet Chip-on-Wafer (C2W) packaging. Players like Hanmi Semiconductor, Hanwha Semitech, and ASMPT are receiving major orders. While hybrid bonding is seen as the future, TCB remains the pragmatic choice for HBM4 mass production, with its lifecycle extended by relaxed specifications and ongoing technological upgrades. **Test Equipment Bottlenecks:** Ironically, AI-driven shortages are now crippling test equipment manufacturing. Critical components like FPGAs, Driver ICs, and CPUs face severe shortages and extended lead times (up to 52 weeks for FPGAs), as AI data center and server vendors prioritize supply. This creates a paradoxical cycle: AI chip shortages drive fab expansion, which requires more test equipment, whose production is delayed because its key parts are diverted to make AI chips. The industry is entering a broad, AI-powered upcycle. SEMI forecasts global semiconductor equipment sales to hit a record $156 billion by 2027, fueled by investment in advanced logic/foundry, HBM-driven DRAM, and advanced packaging (like CoWoS). Major players like TSMC, SK Hynix, and Micron are aggressively ramping capital expenditure. In conclusion, leading equipment vendors are no longer just selling tools; they are selling the critical capability to deliver AI-era capacity. Pricing power is shifting decisively to those with indispensable technology in key process nodes like advanced logic, HBM, and advanced packaging, rewriting the industry's traditional power structure.

marsbit1h ago

The "Iron Rule" of Chip Equipment Is Being Broken

marsbit1h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AI (AI) are presented below.

活动图片