Anthropic is donating another $20 million to Public First Action
Anthropic is donating another $20 million to Public First Action
Anthropic 再向 Public First Action 捐赠 2000 万美元
We’re contributing an additional $20 million to Public First Action, bringing our total support to $40 million. Public First Action is a nonpartisan organization that educates the public about AI and works with Republicans, Democrats, and Independents who are serious about putting sensible AI safeguards in place. Both of our donations were made exclusively to support Public First Action’s public education and policy mission, and cannot be used to influence the election of any candidate for federal, state, or local office.
我们正在向 Public First Action 追加捐赠 2000 万美元，使我们的总支持金额达到 4000 万美元。Public First Action 是一个无党派组织，致力于向公众普及人工智能知识，并与那些认真对待建立合理人工智能保障措施的共和党人、民主党人和独立人士合作。我们的两笔捐款均专门用于支持 Public First Action 的公众教育和政策使命，不得用于影响任何联邦、州或地方公职候选人的选举。
Our first donation in February 2026 was made to help promote policies that will maintain meaningful safeguards, sustain America’s AI leadership, and demand transparency from the companies building the most powerful AI models. In the months since, the case for these policies has only gotten stronger.
我们于 2026 年 2 月提供的第一笔捐款旨在帮助推动相关政策，以维持有效的保障措施，保持美国在人工智能领域的领先地位，并要求开发最强大人工智能模型的公司保持透明度。在此后的几个月里，这些政策的必要性愈发凸显。
Why now?
为什么是现在？
AI models continue to improve at a rapid pace. Earlier this year, Claude Mythos Preview discovered thousands of high-severity software vulnerabilities, including some in every major operating system and browser. We chose to release it to a limited set of cyber defenders through Project Glasswing to enable trusted actors to find and fix those weaknesses before anyone could exploit them. In the wrong hands, models like this could threaten the critical systems the country relies on, from hospitals to the energy grid.
人工智能模型正以惊人的速度不断进步。今年早些时候，Claude Mythos Preview 发现了数千个高危软件漏洞，其中包括每个主流操作系统和浏览器中的漏洞。我们选择通过“玻璃翼计划”（Project Glasswing）将其发布给有限的网络防御者，以便受信任的参与者能够在任何人利用这些漏洞之前发现并修复它们。如果落入不法之徒手中，此类模型可能会威胁到国家赖以生存的关键系统，从医院到能源电网。
More capable models will bring benefits—like compressing drug discovery, developing treatments for diseases we’ve never been able to treat, accelerating science to deliver a century of progress in a decade, extending human lifespans, and driving the kind of economic growth that lets everyone share in the prosperity—but we need to make sure we are protected against the risks first in order to realize those benefits.
更强大的模型将带来诸多益处——例如缩短药物研发周期、开发我们从未能治愈的疾病的疗法、加速科学进步以在十年内实现百年的跨越、延长人类寿命，以及推动让每个人都能共享繁荣的经济增长——但为了实现这些益处，我们必须首先确保我们能够抵御相关风险。
Governments need time to build the capacity to capture benefits while containing risks, which is why they need to start now.
政府需要时间来建立能力，在获取收益的同时控制风险，这就是为什么他们现在就必须行动起来。
Policy that meets the moment
与时俱进的政策
We’ve long argued that frontier AI companies should be transparent about what their models can do and how they’re managing the risks. We’ve supported newly passed laws in several states that require greater transparency for AI developers. But given how fast the capabilities of the most powerful models are advancing, transparency alone is insufficient.
我们长期以来一直主张，前沿人工智能公司应就其模型的功能以及如何管理风险保持透明。我们支持了几个州新通过的法律，这些法律要求人工智能开发者提高透明度。但考虑到最强大模型的性能进步速度，仅有透明度是不够的。
We need policymakers and candidates to put forward measures that mitigate risks. This is the core of what we’ve laid out in Anthropic’s Advanced AI Framework, which is the strongest policy proposal from any frontier lab or policymaker to date. Governments should be able to verify companies’ safety claims, enforce safe practices through civil penalties, and ultimately have a way to slow or block the deployment of AI models that pose a serious risk of catastrophic harm. Frontier AI developers should have to test models that pose catastrophic risk, be transparent to the public about their findings, submit them to independent evaluation, and maintain a robust security program.
我们需要决策者和候选人提出能够降低风险的措施。这正是我们在《Anthropic 高级人工智能框架》中所阐述的核心内容，该框架是迄今为止任何前沿实验室或决策者提出的最强有力的政策建议。政府应当有能力核实公司的安全声明，通过民事处罚强制执行安全实践，并最终拥有减缓或阻止部署可能造成严重灾难性风险的人工智能模型的方法。前沿人工智能开发者必须对具有灾难性风险的模型进行测试，向公众公开其研究结果，提交独立评估，并维护稳健的安全计划。
As the pace of AI advances accelerates, the national security stakes of AI are growing, as we outlined in 2028: Two Scenarios for Global AI Leadership. America and our democratic allies have the advantage today, but that lead is tenuous. To ensure continued American AI leadership, we support policy efforts to tighten export controls on advanced chips and semiconductor manufacturing equipment and to curb illicit model access and distillation attacks, so that democracies’ best technologies are not used to advance authoritarian AI.
随着人工智能进步步伐的加快，人工智能的国家安全风险也在增加，正如我们在《2028：全球人工智能领导力的两种情景》中所概述的那样。美国和我们的民主盟友目前拥有优势，但这种领先地位并不稳固。为了确保美国在人工智能领域的持续领先，我们支持加强对先进芯片和半导体制造设备的出口管制，并遏制非法模型访问和蒸馏攻击，以确保民主国家的顶尖技术不会被用于推动威权主义人工智能的发展。
What comes next?
接下来是什么？
These policy frameworks are just a starting point. Our donation to Public First Action is one way in which we’re trying to raise the salience of this urgent policy debate.
这些政策框架仅仅是一个起点。我们对 Public First Action 的捐赠是我们试图提高这一紧迫政策辩论关注度的方式之一。