Trump Signs Executive Order to Review AI Models Before Release★ 76
The Verge AI21 min agoRegulationPresident Donald Trump signed an executive order establishing a voluntary framework for AI companies. Companies may share frontier models with the federal government before public release. The order frames the initiative as a way to promote secure innovation and strengthen cybersecurity for critical infrastructure, while avoiding measures that stifle the US AI industry.
Trump signs narrower AI oversight order after industry objections
TechCrunch AI2h agoRegulationPresident Trump signed a revised executive order on AI oversight after industry objections. The narrower order requires only voluntary government reviews of advanced models before release. The provided text does not specify thresholds, review procedures, participating agencies, or the industry's objections.
sqlite AGENTS.md
Simon Willison's Weblog5d agoCommentarySQLite added an AGENTS.md file aimed at people pointing coding agents at its codebase, not at its own internal development. The file says SQLite does not accept agentic code, though it will accept agentic bug reports with reproducible test cases. The project has also split AI-generated bug reports into a new SQLite Bug Forum, where D. Richard Hipp is responding with commits.
AI tried to bury this politician — now people have actually heard of him★ 72
The Verge AI6d agoRegulationThe Verge frames New York’s 12th District Democratic primary as a proxy fight over AI regulation. OpenAI-linked backers and an Anthropic-backed PAC are spending on opposite sides of Alex Bores’ congressional run. The irony is that attacks meant to weaken Bores may have made him more visible, turning a local race into a national signal about AI political power.
US law enforcement warns of “anti-tech extremism” as AI hatred grows
Ars Technica AI6d agoRegulationDocuments obtained by WIRED show US intelligence and law enforcement agencies circulating reports on a new category described as anti-technology violent extremism. The concern comes amid protests over data centers, fear of AI-driven job loss, and threats involving tech infrastructure or executives. Civil liberties experts warn the category may be broad enough to chill lawful protest and criticism.
GDS weighs in on the NHS's decision to retreat from Open Source
Simon Willison's Weblog16d agoCommentary英國國民保健署（NHS）因「Project Glasswing」回報的 AI 安全漏洞，決定關閉其開源程式庫。對此，英國政府數位服務局（GDS）罕見公開介入，發布指引強調公共部門應「預設保持開源」，指出將程式碼私有化會增加成本並減少外部監督。專家指出，這代表英國政府內部對於開源與安全政策產生了嚴重的公開分歧。
The distillation panic★ 75
Interconnects (Nathan L.)29d agoOpinion近期 AI 業界出現將「知識蒸餾（Distillation）」稱為「蒸餾攻擊（Distillation attacks）」的趨勢。 這反映了閉源模型廠商（如 OpenAI、Anthropic）面對開源模型透過合成數據快速追趕時的焦慮。 作者 Nathan Lambert 指出，將這種行之有年的機器學習技術與商業競爭行為「安全化（securitize）」，試圖將其塑造成惡意網路攻擊，是非常糟糕且誤導的術語，旨在為法律訴訟或技術封鎖鋪路。
How much does distillation really matter for Chinese LLMs?★ 75
Interconnects (Nathan L.)98d agoCommentary本文探討知識蒸餾（Distillation）在中國大語言模型（如 DeepSeek、Qwen）發展中扮演的角色。針對 Anthropic 近期將蒸餾視為「安全攻擊」的報告，作者指出，雖然蒸餾確實加速了模型對齊，但中國 LLM 的成功更多歸功於其強大的預訓練底座與強化學習（RL）創新。將蒸餾單純簡化為「抄襲」或「攻擊」，忽略了其作為標準機器學習技術的本質，也低估了中國團隊的工程實力。
Import AI 446: Nuclear LLMs; China's big AI benchmark; measurement and AI policy★ 75
Import AI (Jack Clark)99d agoCommentary本期 Import AI 探討了三個核心議題：首先是「核能 LLM」在能源與專業領域的應用與安全挑戰；其次是中國最新推出的國家級 AI 基準測試，展現其在評估本土模型上的野心；最後探討了 AI 評估與政策制定之間的關係，強調精確測量對監管的重要性。
AI Policy @🤗: Response to the White House AI Action Plan RFI
Hugging Face Blog440d agoOpinionHugging Face 針對美國白宮的 AI 行動計畫徵求意見稿（RFI）提交了官方回應。其核心訴求圍繞在保護與推廣「開源 AI」與「開放科學」。Hugging Face 強調，開放源碼不僅能加速技術創新、防止科技巨頭壟斷，更能透過社群的集體審查提升 AI 的安全性與透明度，呼籲政府在制定政策時應避免扼殺開源生態。
AI Policy @🤗: Open ML Considerations in the EU AI Act★ 72
Hugging Face Blog1044d agoOpinion隨著歐盟《AI 法案》進入立法關鍵期，Hugging Face 發表政策倡議，探討法案對開源機器學習（Open ML）的潛在衝擊。文章強調開源在提升 AI 安全性與透明度上的關鍵作用，呼籲立法者應區分商業部署與非商業研究，避免對開源開發者與託管平台施加不切實際的合規負擔，以維護歐洲的創新活力。
AI Policy @🤗: Response to the U.S. NTIA's Request for Comment on AI Accountability
Hugging Face Blog1078d agoOpinionHugging Face 針對美國國家電信和資訊管理局（NTIA）的 AI 問責制徵求意見書提交了官方回應。HF 主張，開放科學與開源生態系對於 AI 的安全與問責至關重要，能促進外部審計與研究。他們建議推廣 Model Cards 等標準化文件，並呼籲建立因地制宜、分擔責任的監管框架，避免對開源創新造成過度限制。
Comments on U.S. National AI Research Resource Interim Report
Hugging Face Blog1401d agoOpinionHugging Face 針對美國「國家 AI 研究資源（NAIRR）」中期報告提交官方反饋。其核心訴求包括：大力支持開源 AI 與開放科學、推動運算與數據資源的民主化分配以扶植中小型研究機構，以及建立完善的模型與數據集文件規範（如 Model Cards）。此舉旨在確保國家級 AI 資源能真正惠及大眾，而非僅由少數科技巨頭壟斷。