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英伟达黄仁勋秀饭局影响力：“我和谁吃饭，第二天股价就翻倍”
IT之家 8 月 27 日消息，雅虎财经今天（8 月 27 日）发布博文，报道称在英伟达最新财报电话会议上，公司 CEO 黄仁勋以调侃的口吻表示， 2026 年最佳美股交易策略就是看他和谁一起吃饭，第二天他们的股票价格就会翻倍。 黄仁勋在财报会议上表示：“在过去 1 年时间里，最有趣的事情之一就是琢…
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Disrupting a new covert influence campaign from Russia
OpenAI披露封禁俄方AI水军，揭露利用大模型伪装智库操纵舆论的新手段。
OpenAI banned Russia-origin accounts using AI to promote a fake Israel-based think tank and a “sovereignty” index praising Russia and criticizing the …
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Reddit decides who AI recommends: what I found measuring 241 software categories
Reddit上的口碑竟比付费评测更左右AI推荐，实测241个软件类别揭示品牌垄断真相
Buyers have started asking ChatGPT and Gemini which software to use instead of opening ten tabs. So over the last few weeks I ran a simple experiment …
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浏览器选择联盟抨击微软：利用 Win10/Win11 影响力，限制用户选择非 Edge 浏览器
IT之家 8 月 5 日消息，浏览器选择联盟今天（8 月 5 日）通过科技媒体 Windows Latest 发布声明， 指控微软公司限制用户选择，并强迫用户使用 Microsoft Edge 和 Bing 等自家产品。 微软于 7 月 29 日发布 2026 财年（2025 年 7 月 1 日～2…
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中国证监会：提升中国指数和中国资产国际影响力
记者8月3日从中国证监会获悉，中国证监会主席吴清当日表示，将支持内地与香港指数公司加强合作，推出更多基于中国资产的指数，推动两地行业机构推出更多基于两地市场、布局中国现代化产业体系的ETF产品，优化ETF产品注册机制，共同提升中国指数和中国资产国际影响力。（央视新闻）
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Where Is Karpathy?
AI大神Karpathy加入Anthropic后近乎“失联”，这是否对行业有利？一场关于明星研究员沉默影响的讨论。
And probably most importantly: is this out of radar situation good or bad for AI? He joined Anthropic almost two months ago now, and he practically di…
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特斯拉发布《2025 年影响力报告》：辅助驾驶重大碰撞率仅为人类司机 1/8
特斯拉官方数据：辅助驾驶事故率仅人类1/8，能效与储能成绩一次看够
7 月 8 日，特斯拉近日发布《2025 年影响力报告》。报告显示，2025 年特斯拉全球交付 163.6 万辆电动车，试驾满意度超 90%，交付满意度达 94%（同比提升 2%），服务中心满意度达 95%。开启辅助驾驶的特斯拉车辆重大碰撞率降至美国平均水平的八分之一，轻微碰撞降至七分之一；辅助驾驶…
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Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment
用影响力解释破解构音障碍评估黑箱，为语音康复AI提供可理解诊断依据，Interspeech 2026前沿研究。
arXiv:2606.21306v1 Announce Type: new Abstract: Dysarthria severity assessment is essential for therapy planning and longitudinal monitoring, yet manu…
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Why isn't xAI as impactful compared to others?
坐拥海量GPU、资金和硅谷人才，xAI为何影响力不及同行？HN热议背后的深层原因。
xai has tons of GPUs, tons of money, tons of talent pool in SF Bay Area, why isn't xAI as impactful compared to others? Comments URL: https://news.yco…
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PRC-linked influence operations are targeting AI debates in the US
OpenAI报告揭示与中国有关的影响行动正试图操纵美国AI政策辩论，引发对技术治理安全的思考。
Article URL: https://openai.com/index/prc-linked-influence-operations-ai-debates/ Comments URL: https://news.ycombinator.com/item?id=48482043 Points: …
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PRC-linked influence operations are targeting AI debates in the US
OpenAI最新报告揭露，与中国相关的势力利用AI技术操纵美国科技辩论与舆论。
A new report from OpenAI details PRC-linked influence operations using AI to target U.S. tech debates, data center narratives, tariffs, and false clai…
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OpenAI: PRC-linked influence operations are targeting AI debates in the US
OpenAI指控PRC关联组织操纵美国AI辩论，揭示AI领域新冷战暗流。
Article URL: https://www.businessinsider.com/openai-china-data-centers-influence-campaign-2026-6 Comments URL: https://news.ycombinator.com/item?id=48…
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Influence-Guided Symbolic Regression: Scientific Discovery via LLM-Driven Equation Search with Granular Feedback
用LLM驱动的符号回归与细粒度反馈，实现像科学家一样的自动方程发现，加速科学建模。
arXiv:2605.29184v1 Announce Type: cross Abstract: Large Language Models (LLMs) offer a promising avenue for scientific discovery, yet their applicatio…
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How Far Will They Go? Red-Teaming Online Influence with Large Language Models
用大语言模型对在线影响力系统进行红队测试，探索攻击极限与防御边界，一篇扎实的AI安全前沿研究。
arXiv:2605.22880v1 Announce Type: cross Abstract: As large language model (LLM)-based agents increasingly participate in online discourse, red-teaming…
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LLM-Metrics: Measuring Research Impact Through Large Language Model Memory
无需引文数据库，让大模型“记住”你论文的影响力，这篇论文开创性地用LLM内在记忆衡量研究冲击力。
arXiv:2605.22176v1 Announce Type: new Abstract: Citation counts remain the dominant metric for assessing research impact, yet they suffer from well-do…
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RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning
提出影响力驱动参数重加权方法，高效解决大模型遗忘小样本或不平衡数据的难题。
arXiv:2512.04457v2 Announce Type: replace Abstract: Removing specific data influence from large language models (LLMs) remains challenging, as retrain…
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Interaction-Aware Influence Functions for Group Attribution
打破传统影响力函数局限，提出考虑样本交互作用的群体归因方法，提升机器学习可解释性。
arXiv:2605.15675v1 Announce Type: cross Abstract: Influence functions approximate how removing a training example changes a quantity of interest, call…