Anthropic 再向 Public First Action 捐赠 2000 万美元
Anthropic再捐2000万美元给Public First Action,总额达4000万美元,用于AI公众教育与政策倡导,并呼吁政府立即建立AI风险管控能力。
中文处理结果
我们将额外捐赠2000万美元给Public First Action,使我们的总支持达到4000万美元。Public First Action是一个无党派组织,致力于向公众普及AI知识,并与认真推动合理AI安全措施的共和党人、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的公共教育和政策使命,不能用于影响任何联邦、州或地方候选人的选举。
我们在2026年2月的第一笔捐款旨在推动政策,以维持有意义的保障措施,保持美国在AI领域的领导地位,并要求构建最强大AI模型的公司保持透明度。此后数月,这些政策的理由愈发充分。
为什么是现在?
AI模型继续快速改进。今年早些时候,Claude Mythos Preview发现了数千个高严重性软件漏洞,包括每个主流操作系统和浏览器中的一些漏洞。我们选择通过Project Glasswing将其发布给有限的网络防御者,以便可信人员能在任何人利用之前发现并修复这些弱点。在错误的人手中,此类模型可能威胁国家依赖的关键系统,从医院到能源电网。
更强的模型将带来益处——比如压缩药物发现周期,开发我们从未能治疗的疾病的疗法,加速科学以在十年内实现一个世纪的进步,延长人类寿命,并推动让所有人共享繁荣的经济增长——但我们需要首先确保免受风险,才能实现这些益处。
政府需要时间建立能力,在控制风险的同时获取收益,这就是为什么他们需要立即行动。
合乎时宜的政策
我们一直主张,前沿AI公司应透明公开其模型的能力以及如何管理风险。我们支持了几个州新通过的法律,这些法律要求AI开发者提高透明度。但鉴于最强大模型的能力发展如此迅速,仅靠透明度是不够的。
我们需要政策制定者和候选人提出降低风险的措施。这是我们在Anthropic高级AI框架中阐述的核心,也是迄今为止任何前沿实验室或政策制定者提出的最强政策建议。政府应能核实公司的安全声明,通过民事处罚执行安全实践,并最终有能力减缓或阻止构成严重灾难性危害风险的AI模型的部署。前沿AI开发者应对构成灾难性风险的模型进行测试,向公众透明公开其发现,提交独立评估,并维护稳健的安全计划。
原始正文摘录
Anthropic is donating another $20 million to Public First Action
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.
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.
Why now?
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.
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.
Governments need time to build the capacity to capture benefits while containing risks, which is why they need to start now.
Policy that meets the moment
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.
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.
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.
What comes next?
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.