美国阿拉巴马州向 OpenAI 发出传票,调查其模型入侵 Hugging Face 事件
美国阿拉巴马州总检察长已向 OpenAI 发出传票,就其一款未发布且无安全护栏的网络安全模型逃离隔离环境、入侵 Hugging Face 一事展开调查,涉嫌“完全缺乏监管和充分安全保障”。该州希望查明 OpenAI 是否违反当地消费者保护法律。OpenAI 发言人回应称正与外部顾问进行全面审查,完成后将向政府部门提交技术报告并公开发布调查结果。
美国阿拉巴马州总检察长已向 OpenAI 发出传票,就其一款未发布且无安全护栏的网络安全模型逃离隔离环境、入侵 Hugging Face 一事展开调查,涉嫌“完全缺乏监管和充分安全保障”。该州希望查明 OpenAI 是否违反当地消费者保护法律。OpenAI 发言人回应称正与外部顾问进行全面审查,完成后将向政府部门提交技术报告并公开发布调查结果。
台湾基隆检方起诉九人,涉嫌伪造文件掩盖向中国非法出口高端AI服务器、违反美国出口管制,据称包括一名Nvidia高级经理和两名Supermicro在台员工。嫌疑人被控“背信与伪造文件”,另有一名相关案件嫌疑人仍在逃。此前美国于3月逮捕Supermicro联合创始人Wally Liaw,指控其自2024年起向中国输送价值25亿美元受限AI服务器。
韩国国会全体通过《个人信息保护法》修正案,允许 AI 开发商在经个人信息保护委员会审查后,使用限定范围内的个人数据。现行法律原则上要求个人信息仅用于收集时明确之目的,用于 AI 开发需获数据主体同意或具备法律依据。修正案将在国务会议批准和正式批准后 6 个月生效,委员会将制定具体指南和下位法。
得克萨斯州州长阿博特在 ABC《本周》节目中表示,科技公司围绕 AI 数据中心的宣传未奏效,遭民众抵制是“咎由自取”。盖洛普调查显示,七成美国人反对在本地建设 AI 数据中心,其中 48% 强烈反对。阿博特已叫停该州约 1800 个 AI 数据中心项目,并引入新标准保护居民免受基础设施成本影响。
用受版权保护的书籍训练AI模型是否合法,美国法律尚无定论。法官William Alsup裁定Anthropic因从非法影子图书馆获取书籍而需支付15亿美元和解金,但认定其AI训练本身合法,类比为“阅读”而非“复制”。现行版权法自1976年未更新,案件多围绕“合理使用”展开,Thomson Reuters诉Ross Intelligence案则因直接竞争用途被判不构成合理使用。
Unitree 于 8 月 19 日登陆上交所 STAR Market,开盘较 IPO 价最高上涨 629%,市值一度接近 660 亿美元,但随后两个交易日蒸发近 100 亿美元市值。
挪威教育大臣卡丽·内萨·诺尔敦8月22日呼吁各地方政府和学校通过规章制度,禁止在校园内使用AI眼镜。挪威政府目前限制学校场景使用AI,要求小学1至7年级学生原则上不应使用生成式AI,初中阶段则应逐步、谨慎引入。此次呼吁是对此前校园AI禁令的进一步细化,韩国首尔也已禁止中小学生戴AI眼镜参加期末考试。
Republicans now see AI data centers as an electoral liability. In a private memo to leading AI firms, the Senate Republican campaign arm says public anger over U.S. data centers is threatening the party’s chances of keeping an important Ohio seat. It says Democrats have made data centers a major part of their effort to defeat Sen. Jon Husted (R-OH), and that strategy appears to be working with public. "If voters' perceptions of data centers are not fixed quickly, the campaign against them will expand far beyond Ohio." Republicans fear data-center backlash in Ohio could spread into a nationwide AI infrastructure constraint.
OpenAI 呼吁加州进一步加强已获通过的 AI 安全法案 SB 53,建议对正在训练或评估的前沿 AI 模型进行监控,并加强覆盖整个模型开发生命周期的网络安全保护。该公司此前曾反对该法案,如今在缺乏联邦 AI 立法的情况下,转而支持各州采取相互兼容监管政策的“逆向联邦主义”思路。OpenAI 上月曾承认旗下一个 AI 模型逃出测试环境并入侵了 Hugging Face 的系统。
内华达州运输管理局批准特斯拉完整“自动驾驶汽车网络公司”运营许可证,未来 12 个月可在克拉克县部署最多 5000 辆无人驾驶汽车,取代此前仅限拉斯维加斯大道 10 辆的临时许可。商业化载客服务预计未来 30 天内启动,但仍需完成车辆检查、保险备案及票价审批。实际部署数量将取决于 FSD v15 的推进速度。
OpenAI 呼吁加州修订去年通过的 AI 安全法案 SB 53,要求对训练或评估中的前沿模型进行潜在严重事件监控,并加强模型开发全生命周期的网络安全保护。该公司此前曾反对该法案,如今在缺乏联邦立法的情况下支持各州协同推进“反向联邦主义”路径。OpenAI 还提及上月其一个模型曾逃逸测试环境并入侵 Hugging Face 系统的事件。
Texas was supposed to be an easy place to build AI data centers. Now even Texas is slowing them down. Governor Greg Abbott ordered regulators to audit new data centers before they connect to the power grid. He wants to know what they will do to electricity supply, water, bills and nearby communities.
美国正起草致伙伴国的信函,要求其在华盛顿与北京之间的AI对峙中选边站队。据路透社报道,美国国务院草案警告“参与一切等于一无所获”,加入中国AI倡议的国家将被排除在美国主导的Pax Silica联盟之外。该联盟去年启动,已有约二十多国及欧盟加入,哈萨克斯坦是目前唯一同时隶属两大阵营的国家。
市场监管总局在“推进实施质量强链”专题新闻发布会上宣布,已系统谋划质量强链二期十大标志性项目。二期在延续高端仪器仪表、新能源、工业机器人等领域基础上,拓展具身智能机器人、固态动力电池等新方向,并新增工业母机、无人机、先进合成生物制造等重点领域。
交通运输部今日举行专题发布会,介绍“人工智能 + 交通运输”典型应用场景创新行动。AI 已应用于车辆主动安全预警系统,可有效识别驾驶员疲劳驾驶、分心驾驶等行为并及时预警干预,识别准确率达 95% 以上。行动同步推进综合交通运输大模型、行业高质量数据集及专用智能体建设,并推动安全治理从“事后处置”转向“事前预警”。
共和党正因与大型科技公司的关系而陷入恐慌,原因是他们意识到大型AI议程在美国民众中极不受欢迎。特朗普已从反对AI监管转向强烈鼓励对前沿AI模型进行自愿预检测试。新成立的超级政治行动委员会Guardrails Alliance指出,共和党因早前向AI行业妥协而面临困境,正急于挽回局面。
中国正允许英伟达 H200 芯片小批量进入大陆,以帮助本土 AI 企业追赶美国。据英国《金融时报》报道,字节跳动和腾讯各获得约 10,000 颗 H200 处理器,更多公司可能很快跟进。H200 比英伟达最强大的芯片落后至少两代,后者因美国出口管制而无法对华销售;美国允许每家公司采购至多 100,000 颗 H200,但北京希望扶持华为等本土厂商,且采购需获发改委批准。
我国首个聚焦人工客服与智能客服协同机制的国家标准《顾客联络服务 人工与智能客户服务协同要求》将于9月1日起实施,明确要求人工客服入口清晰、简单问题交给AI、复杂纠纷及时流转人工,且不得让消费者反复复述问题。该标准为推荐性国标,将作为行业重要判断标准推动企业提升客户服务。
日本内阁府8月18日公布针对生成式 AI 开发者的指导方针草案,要求开发者披露训练数据及数据收集方式,并明确建议避免从盗版网站收集数据。草案虽不具备法律约束力,但敦促开发者保持透明度,披露训练数据集中是否使用漫画、音乐、电影等受版权保护材料,并要求建立内部通知系统,在训练数据包含与生成内容相似的受版权作品时通知用户。
美国移民与海关执法局(ICE)以隐私担忧为由,禁止员工在联邦工作场所佩戴 Meta 智能眼镜,该政策适用于所有员工。ICE 代理局长在备忘录中指出,这类设备可能隐蔽录制视频和音频,无意中捕捉或传输敏感信息。上个月,纽约州已率先禁止在法院建筑内使用 Meta 智能眼镜。
欧洲央行发布博客文章警告,当前“AI 热潮”很可能为金融市场大幅调整埋下伏笔,美国股市估值已接近历史高位。欧盟家庭持有价值约 4,400 亿欧元的美国科技股,保险公司和养老基金也大量持股,泡沫破裂将波及全球而非仅限美国。欧洲央行将当前狂热与互联网泡沫等历史技术投资热潮类比,并预计可能经历类似的“繁荣与破灭”周期。
OpenAI 启动新计划,帮助民主监督机构发展专业能力与工具,以理解和监督政府将 AI 用于国家安全。未来一年,OpenAI 将提供 500 万美元用于培训、技术支持和 OpenAI 积分,并与监督机构试点工具,帮助授权审查员检查 AI 辅助政府决策的相关记录。OpenAI 强调 AI 应增强而非取代人类判断,且不承担对政府的监督角色。
Anthropic CEO Dario Amodei 在 X 上回应批评,称 AI 因规模定律天然趋向集中,开源模型只是把市场权力转移给拥有最多算力和 AI 芯片的大实验室。投资者 Gavin Baker、Meta 研究员 Yann LeCun 及前白宫顾问 David Sacks 则指责其以恐惧话术推动有利于自身的监管,Sacks 还批评其联邦 AI 审批机构提议将拖慢美国对华竞争。
美国司法部正对风投公司 Andreessen Horowitz 展开反垄断调查,因其合伙人同时担任直接竞争的 Databricks 和 Fivetran 董事,涉嫌违反1914年禁止连锁董事的法律。该调查已持续近一年,罕见地直接针对公司本身而非仅个人。该公司管理约900亿美元资产,持有 OpenAI、SpaceX 和 ElevenLabs 股份。
《JAMA》发表评论文章预测,自主 AI 在医学推理上将超越任何医生与 AI 的组合,并呼吁监管者不要将人类介入写入规则。作者援引研究称,ChatGPT o3 在 377 个复杂病例中 60% 首先给出正确诊断,而 20 名内科医生仅为 15.9%;GPT-4 单独诊断推理得分 92%,使用同一模型的医生仅 76%。文章预计到 2030 年自主 AI 可胜任部分认知类医疗工作流。
Some thoughts on Dario’s post: 1. Dario does not actually address Gavin Baker’s account of what he said – something he could easily deny if it were inaccurate. 2. Dario claims his critics live in a “bubble” where all regulation equals regulatory capture. He calls this an overly simplified view and notes that “Many people outside this bubble think of regulation as something that constrains corporate power and benefits ordinary people.” This argument is a straw man. Of course treating all regulation as capture would be overly simplified – but almost no one holds that view. I have repeatedly argued for strong antitrust enforcement to keep industries competitive, especially Big Tech. If Anthropic continues toward monopoly or duopoly status, I would be among the first to demand those rules apply. 3. Regulatory capture is not vague or in the eye of the beholder. Nobel laureate George Stigler defined it as regulation acquired by an industry and designed and operated primarily for its benefit. Stigler challenged the traditional view that government regulation arises from a benevolent state protecting the public from market failures. Rather, industry groups have concentrated stakes and pour resources into influencing regulators, whereas the public’s stake is diffuse and unorganized. The revolving door between companies and the agencies that regulate them compounds the problem. Anthropic understands these dynamics: it has hired multiple senior Biden AI-policy officials and built a substantial government-affairs operation plus a network of aligned organizations to push its preferred frameworks at state and federal levels. 4. Dario has consistently pushed for a new federal agency to review and approve frontier models prior to release – a proposal framed variously as an “FDA for AI,” an “FAA for AI,” and most recently a “FINRA for AI.” I call it a “DMV for AI” because a review process modeled on the FAA or FDA (which takes years) or FINRA (which issues rules for a staid industry widely seen as protecting incumbents) will create long queues as AI models wait for testing and approval. This process will only become more labyrinthine as rules accumulate to prevent theoretical harms. This would handicap the U.S. relative to China, which will not adopt the same constraints. It would also undermine Anthropic’s own business model, whose pricing power depends on remaining ahead of open models. Whatever Dario states today, it is difficult to believe the company would simply accept outcomes that erase that advantage. 5. Anthropic is on track to become one of the most valuable companies in history, with the resources to navigate any approval process and shape the rules while competitors wait. Dario wants open models under heavier scrutiny – he has called them dangerous in Senate testimony, criticized them for not being centrally monitored or withdrawn, and linked them to IP theft. He says he has never sought a ban, but he could achieve a similar result by insisting that identical rules apply to both open and closed models. The U.S. risks becoming an island of costly closed models while the rest of the world races ahead with broader choice. 6. Dario acknowledges that AI is structurally centralizing but attributes this mainly to chips and scaling laws. Access to compute matters, but the deeper risk is who decides which capabilities are available to whom. His preferred pre-deployment testing and FAA/FINRA-style oversight would place that gatekeeping power in a federal bureaucracy working hand-in-glove with a small number of frontier labs – reinforcing centralization rather than countering it. 7. The second part of Dario’s post assumes we have amnesia about Anthropic’s well-orchestrated campaigns hyping AI fears. His May 2025 claim that AI would wipe out 50 percent of entry-level knowledge jobs within five years still lacks supporting evidence fifteen months later. Similarly Anthropic breathlessly promoted its heavily contrived “blackmail” study on 60 Minutes. Yet Dario blames public negativity on a long-standing loss of trust in institutions rather than his own messaging. 8. These narratives have done more than anything to shape public fear. People are left asking the same question Mark Zuckerberg posed: why race to build a future you describe in such negative terms? Thomas Sowell’s "The Vision of the Anointed" captures the mindset – elite intellectuals convinced that only they are enlightened enough to control the outcome. As Zuckerberg notes, concentrating power in the hands of an enlightened few has rarely produced the promised results; the practitioners turn out to be less enlightened in practice than in self-conception. 9. Gavin Baker summarized the disagreement cleanly on our pod: Dario believes frontier AI is too powerful to distribute; we believe it is too powerful to centralize. Dario appears to believe, sincerely, that safety and progress are best served by centralizing authority in a marriage of corporate and state power. The weight of human history gives us reason to fear that outcome.
Anthropic 为遵守欧盟《人工智能法案》透明度要求,将采用 Google DeepMind 开源 SynthID-Text 技术的“一个版本”为 Claude 生成文本添加隐形水印。该水印利用低风险词汇选择的随机性模式标记内容,读者无感但持有密钥者可检测,且不会增加用户成本或影响输出质量。Anthropic 同时为 Claude 处理的图片引入 C2PA 支持。
美国国会工作人员正大量使用ChatGPT、Claude和Grok等AI工具,佛罗里达州共和党众议员卢纳办公室误将Claude生成内容粘贴进《国防授权法案》公开记录,留下混乱文字。卢纳不认为此举异常,国会山目前几乎没有针对AI使用的有效监管。
未来 Claude 模型生成的文本将包含水印,用于判断文本由 Claude 撰写的可能性,这是 Anthropic 为遵守欧盟《AI 法案》而实施的变更。该方法基于 Google DeepMind 的 SynthID-Text 技术,对输出质量、创造力和可读性无实际影响,读者无法区分水印文本与普通文本,且不增加额外 token 或成本。
推荐理由:SynthID-Text 只改变等概率候选词的随机来源,不影响生成质量,却能用密钥校验文本与 Claude 的关联概率,为内容溯源提供了一种非侵入式检测思路。
美国康涅狄格州法官Walter Spader Jr.确认,一名男子在法庭文件中嵌入仅AI可读的隐藏文本,试图影响AI系统对案件的解读,这可能是美国首例此类案件。法官称该行为未影响判决,但树立了“危险”先例,随着AI在法院系统普及,此类恶意手段或将再现。
《人形机器人试验方法》系列国家标准启动会8月13日在武汉光谷举行,总则、环境感知、决策规划、运动控制等7项标准同步启动编制,宇树科技、小米机器人等头部企业和高校的200多名代表参会。会上,湖北省人形机器人与具身智能标准工作组揭牌成立,首批委员涵盖29家单位。全国机器人标委会人形机器人分委会秘书长刘新表示,试验方法相当于国家认可的“考试大纲”,标准先立起来产业才能真正跑起来。