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白宫科技顾问抨击 Anthropic 与 OpenAI：应自建安全产品，别指望政府
据 Bloomberg 9 月 15 日报道，美国总统科技顾问委员会联合主席 David Sacks 在采访中表示，Anthropic 和 OpenAI 等头部 AI 公司应自行打造安全产品，必要时按自身节奏推进，无需政府干预。他认同前 FTC 主席 Lina Khan 的观点，即大模型公司需对自身模型负责，若产出不安全技术可能面临民事甚至刑事诉讼。Sacks 还批评 Anthropic CEO Dario Amodei 近期文章，后者呼吁企业放缓 AI 开发，并建议美国政府给予 Anthropic 及其竞争对手反垄断豁免，以便就协调放缓开发所需的“安全对话”进行沟通。Sacks 此前曾在社交媒体批评 OpenAI 和 Anthropic，称若其产品导致真正具有破坏性的网络攻击，将面临重大责任风险，市场本身已在惩罚行为不可预测或未经授权的模型。
AI推荐理由 转述 Bloomberg 报道的白宫科技顾问委员会联合主席 David Sacks 对 Anthropic 和 OpenAI 的公开批评，包含具体人物、立场和与 Lina Khan、Dario Amodei 观点的对照，信息密度尚可；但来源为 AIbase 二手转述，正文夹杂大量栏目推广和关键词堆砌，且未提供原始采访链接，事实可核验性有限。该内容反映美国 AI 安全监管与产业自律的路线分歧，对理解政策走向有参考价值，但非技术或产品层面的新信息。
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White House Tech Advisor Criticizes Anthropic and OpenAI: Build Your Own Safety Products, Don't Rely on the Government
AIbase基地
Published inAI News · 2 min read · Sep 15, 2026
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Bloomberg reported on September 15 that the co-chair of the President's Council of Advisors on Science and Technology, David Sacks, said in an interview on Monday that top artificial intelligence companies Anthropic and OpenAI should create safe products and proceed at their own pace when necessary, without government intervention.
Sacks agreed with the views expressed by former Federal Trade Commission Chair Lina Khan in a post on social media on Sunday: large artificial intelligence companies are responsible for their models, and they may face civil or even criminal litigation if they produce unsafe technology.
Sacks also criticized a recent article by Dario Amodei, CEO of Anthropic. In the article, Amodei called on companies to slow down AI development and suggested that the U.S. government grant Anthropic and its competitors antitrust exemptions so that they can communicate about the "safe dialogue" needed to coordinate slowing down development.
Sacks had previously criticized OpenAI and Anthropic on his social media account: Stop pretending your motivation for slowing down development is entirely for "the good of others." If your products lead to truly destructive cyberattacks, you will face significant liability risks; the market itself is already punishing models that behave unpredictably or without authorization.
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