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教程 / 实战普通
Same Claude. Different Harness. Very Different Result.
Claude didn’t get smarter. We changed everything around it. Somehow, 6.5 points appeared between...
信息来源:DEV Community · Claude
产品发布 / 更新普通
AgentCloak 发布:浏览器内替换敏感信息后使用任意 AI
AgentCloak 发布,可在浏览器内使用 ChatGPT、Claude 及中国 AI 服务而不泄露真实数据。它在提示词发出前将敏感值替换为逼真的替身,收到响应后在本地换回原值,完全在浏览器内运行,现已免费使用,网址 http://agentcloak.ai/。作者指出 AI 隐私的核心是语境保留问题,单纯删减提示词会改变推理任务,难点是在去除身份信息的同时保留足够语义让模型正常作答。
信息来源:X:Rohan Paul (@rohanpaul_ai) · ChatGPT / Claude
教程 / 实战普通
I Built an AI Agent That Audits AWS (And It Can't Touch Anything)
Build a read-only AI agent in Kiro Crew that audits AWS for security and cost, cites real resource IDs, computes real pricing, and cannot change a thing.
信息来源:DEV Community
教程 / 实战普通
How I Get Better Results from Claude Code
AI coding tools can dramatically speed up development, but only when you give them enough context and...
信息来源:DEV Community · Claude
模型发布 / 更新普通
Hugging Face 旧金山开源 AI 周启动
我们将在旧金山以一场聚会、社区演示和舞会拉开开源 AI 周的序幕。 让我们一起推动并庆祝 AI 领域更多的开放与透明!
信息来源:X:Clément Delangue(Hugging Face CEO) (@ClementDelangue) · Hugging Face
产品发布 / 更新普通
李飞飞:智能体可属AI,能动性归人类
智能体可以是 AI,但能动性属于人类。每个人都有责任借助工具来增强自身的能动性。但北极星应始终以人为中心。
信息来源:X:Fei-Fei Li (@drfeifei, World Labs)
模型发布 / 更新普通
GPT Image 2.5 Sunburst 上线 Tripo Studio
GPT Image 2.5 Sunburst 现已登陆 Tripo Studio。 更锐利的细节。更自然的光照。更好的参考保持。 生成 → 编辑 → 3D。一站式完成。 立即体验 → https://studio.tripo3d.ai/workspace/generate-image?utm_source=twitter&utm_medium=social&utm_campaign=gpt-image-2.5-sunburst
信息来源:Tripo(官方 X) · GPT
产品发布 / 更新普通
GitHub Podcast 拆解 AI 热门观点:该不该读代码、RAG 是否已死、Skills 是否杀死了 MCP
GitHub Podcast 最新一期拆解了五个 AI 热门观点:AI 生成的代码仍需阅读和负责,只是审查力度应按风险分配;Skills 与 MCP 解决不同问题,前者是打包的团队经验,后者是连接工具与数据的标准;RAG 并未消亡,而是与 Agent、Skills、MCP 共存于同一工作流。节目还讨论了招聘中的 AI 使用判断力,以及微调需求往往暴露的是代码可维护性问题。
信息来源:GitHub Blog
观点 / 方法普通
Robinhood 产品副总裁 Abhishek Fatehpuria 将出席 TechCrunch Disrupt 2026 谈现代金融消费者
Robinhood 经纪业务产品管理副总裁 Abhishek Fatehpuria 将于 10 月 13-15 日在旧金山 Moscone West 的 TechCrunch Disrupt 2026 Smart Money Stage 发表演讲"Winning the Modern Financial Consumer"。
信息来源:TechCrunch:AI(RSS)
论文研究普通
AutoRecLab: Describe the Experiment, Get the Code!
Empirical evaluation is central to recommender-systems (RecSys) research, but turning experimental designs into executable code remains a manual and error-prone task. We present AutoRecLab, a Python-based autonomous RecSys lab that automat…
信息来源:arXiv · GPT
论文研究普通
TrialAtlas: Multi-Agent Research Organization for Clinical Trial Design and Optimization
Nearly 90% of drugs entering clinical development ultimately fail, despite billions of dollars in investment. Pharmaceutical companies therefore rely on clinical development planning (CDP) and probability of technical and regulatory succes…
信息来源:arXiv · OpenAI / Gemini
论文研究普通
Watermarkable Multi-Draft Speculative Sampling via Poisson Processes
Large language models (LLMs) have achieved state-of-the-art performance across a wide range of tasks, motivating two important aspects of deployment: inference efficiency and output provenance, which can be tackled by speculative sampling …
信息来源:arXiv
论文研究普通
Do Personality-Tuned LLMs Make Better Social Agents?
LLMs are increasingly used in social simulations for socially interactive agents and robots, offering more flexibility than rule-based systems. However, even though they mimic human behaviour very well, there is a persistent alienness to t…
信息来源:arXiv · Qwen
教程 / 实战普通
The Metric You Report Is Not the Work You Did
A North Star Metric is one number that represents value delivered. That is the whole...
信息来源:DEV Community
观点 / 方法普通
Runway 推出统一计价
今天我们在 Runway 内推出统一计价,所有购买的 credits 均可在我们的 web 应用和 Runway Dev 中使用。 现在,一次购买即可支持你在任意偏好的空间中使用 Runway 的所有工作方式。同时,我们还推出了与之匹配的新优惠。
信息来源:X:Runway (@runwayml)
行业动态普通
蒙特利尔 AI 行业活动期间爆发反 AI 抗议
蒙特利尔 AI 行业活动期间,反 AI 抗议者走上街头,在 René-Lévesque 大道游行。抗议者称 AI 生成的传单和网络梗不值得消耗行业淡水资源,防暴警察阻止抗议者穿越该大道。
信息来源:Hacker News:AI 热帖
模型发布 / 更新普通
SemiAnalysis 谈 DRAM/SSD 卸载协同设计
Engrams Embedding Entendre:面向高效 DRAM/SSD 卸载的协同设计 新模型架构对 DRAM/NVMe TAM 的影响,DeepSeek V4.1 Flash,AgentX,InferenceX,NVMe 实验 https://newsletter.semianalysis.com/p/engrams-embedding-entendre-codesign
信息来源:X:SemiAnalysis (@SemiAnalysis_) · DeepSeek
论文研究普通
The Weight Is Over - Interactive Diffusion on Consumer GPUs
On-device inference is booming, but the momentum is almost all in language models. Diffusion pipelines are memory hungry, latency-sensitive, and require orchestrating an embedder, a transformer, a decoder, and often further postprocessing …
信息来源:arXiv
教程 / 实战普通
Your coding agent remembers more than MEMORY.md — so I built a local inspector for it
I've been using AI coding agents heavily, and I kept running into the same problem: Useful...
信息来源:DEV Community
论文研究普通
Reusing Latent Speech Representations for Query-Conditioned Topic Localization in Transcripts
Long transcripts are costly inputs for downstream NLP systems and often contain irrelevant context. We study query-conditioned topic localization: predicting the sentence span in a transcript that best addresses a topic-title query. To imp…
信息来源:arXiv
论文研究普通
EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise
Frontier language models now produce professional deliverables that expert graders judge to match human work on a substantial share of economically valuable tasks, yet most enterprise GenAI initiatives fail to show a measurable business ef…
信息来源:arXiv
教程 / 实战普通
SemiAnalysis 实测 DeepSeek-V4.1-Flash 的 Engram:架构如何围绕 HBM 约束做 DRAM/SSD 卸载
SemiAnalysis 分析 Engram 架构(在标准 token 嵌入上扩展学习式多 token 查找)如何通过协同设计将嵌入表卸载到主存 DRAM 或 SSD,在同等质量下降低模型所需的 HBM 容量。
信息来源:SemiAnalysis 长文 RSS(RSS) · DeepSeek
观点 / 方法普通
DeepMind 研究人员称可见思维链是 AI 安全优势,但透明度正在流失
Google DeepMind 的 Rohin Shah 和 Anca Dragan 在 Deepmind Institute 发文指出,可见的思维链(CoT)是关键安全优势,例如 Gemini 3 Pro 的思维链曾揭示模型意识到自己处于测试环境。
信息来源:The Decoder:AI News(RSS) · Gemini
模型发布 / 更新普通
GPT6-Astra 可构建 Three.js 游戏
现在你可以用 GPT6-Astra 构建任何可玩的 Three.js 游戏 收集你的星光,打开月之门!
信息来源:X:PixVerse (@PixVerse) · GPT
论文研究普通
Federated Deep Clustering Networks for High-Dimensional and Heterogeneous Data
Clustering high-dimensional data is a fundamental task in unsupervised machine learning with applications to a variety of domains. In the centralized data scenario, this task is commonly solved using deep clustering methods that utilize de…
信息来源:arXiv
论文研究普通
Touvigation: Embodied Adaptive Object Acquisition for Blind and Low-Vision Users in Unfamiliar Indoor Environments
Blind and low-vision users often face challenges when locating and physically acquiring objects in unfamiliar indoor environments. Existing vision-language-model-based assistants can provide semantic descriptions but may introduce latency,…
信息来源:arXiv
论文研究普通
RheoSampling: Resolving the One-Hot Dilemma in Stochastic Dynamic-Tree Speculative Decoding
Speculative decoding accelerates LLM inference by drafting multiple tokens in parallel, with tree-based methods further improving efficiency through hierarchical structures. Dynamic-tree methods such as EAGLE-3 perform well under greedy de…
信息来源:arXiv
产品发布 / 更新普通
长安汽车谭欢:未来用机器人造车、卖车,让机器人上车、造机器人
长安汽车首席专家、长安天枢智能机器人公司总经理谭欢在泰达国际论坛具身智能专场提出,汽车未来形态是"汽车机器人"--自学习、自组织、自进化的组合智能体。长安的机器人路径是先把座舱、中控、扶手等部件组件化,再走向覆盖搬运、物流、清洁、储能、补能的智能出行生态机器人,并拓展巡检、安防、消防等极限场景。整体逻辑为用机器人造车、卖车、上车,最终实现用机器人造机器人。
信息来源:IT之家(RSS)
论文研究普通
Adaptive Uncertainty-Aware Modeling and Stochastic Radial Basis Function Predictive Control for Personalized Fluid Resuscitation
This paper presents a novel framework integrating Bayesian physiological modeling with optimal control strategies to achieve uncertainty-aware, personalized hemodynamic regulation during fluid resuscitation. An uncertainty-aware variationa…
信息来源:arXiv
产品发布 / 更新普通
中东战争与利率上升威胁 AI 基建融资,Meta Muse 冲击 Instinct
中东战争与石油出口下滑正威胁支撑 AI 基建的资本流入,但迄今尚未明显放缓。沙特本月承诺 150 亿美元本土 AI 投资,卡塔尔是唯一收缩的中东主权基金,阿联酋和沙特仍在加码。Meta 上周推出的个人 AI 助手 Muse 已对 Instinct 形成冲击,后者据称正寻求 100 亿美元估值。
信息来源:Newcomer 新闻长文(RSS)
论文研究普通
Matrix AdaGrad: Row-wise and Column-wise Adaptive Subgradient Methods
Adaptive optimization methods such as AdaGrad and Adam are widely used in modern neural-network training, but their adaptive scaling is primarily designed for vector-valued parameters and does not explicitly exploit matrix structure. Recen…
信息来源:arXiv
论文研究普通
MIST: Multimodal Survival Prediction with Genomic-Guided Histology Attention
Multimodal survival models can combine complementary prognostic information from whole-slide images and genomic profiles, but effective fusion remains challenging amid external cohort shift and computational complexity. To address these ch…
信息来源:arXiv
论文研究普通
An Agentic Just-in-Time Adaptive Intervention System for Personalized Sleep Support: Proof-of-Concept Study with N of 1 Data
Background: Just-in-time adaptive interventions (JITAIs) can use behavioral data to adapt support to changing contexts, but many rely on predefined rules and manual configuration. Objective: We developed a proof-of-concept sleep JITAI usin…
信息来源:arXiv
论文研究普通
LLM-Generated Feature Pools for Time Series Anomaly Detection
We study how far a simple statistical pipeline can go on univariate time series anomaly detection under a strict selection protocol. The method extracts a small pool of statistics over sliding windows, scores each window with a transductiv…
信息来源:arXiv
行业动态普通
超百名 AI 专家联署公开信,就嵌入式外部评估向前沿模型开发商提出五项最低要求
AI Evaluator Forum 发表公开信,超 100 名 AI 专家联署,向前沿 AI 开发商提出嵌入式评估的五项最低要求,包括评估者编辑独立、多元评估者、公开运作条款、免遭报复和获得等同高权限员工的访问级别。
信息来源:X:Nathan Lambert (@natolambert)
观点 / 方法普通
欧洲业界与政界质疑美国 AI 巨头的开发减速提议
据路透社 9 月 18 日报道,Dario Amodei、Sam Altman 和马斯克先后警告 AI 风险并主张控制发展节奏,欧洲企业和官员对此明显存疑。Mistral、Proton、Black Forest Labs 等指责此举意在巩固美国巨头市场地位,Hugging Face CEO 也反对放慢,但赞同在企业内部设置独立评估人员。
信息来源:IT之家(RSS) · Hugging Face / Mistral
观点 / 方法普通
Noam Brown 做客 Dwarkesh 播客,谈多智能体、纳维-斯托克斯方程与对齐风险
Dwarkesh Patel 发布与 OpenAI 核心推理科学家 Noam Brown 的约 80 分钟访谈,讨论多智能体、纳维-斯托克斯方程、数学进展与递归自改进,以及如何在启动 RSI 前确认模型是否对齐。
信息来源:X:阿易 AI Notes (@AYi_AInotes) · OpenAI
观点 / 方法普通
Anthropic 公布 Claude 参与 26% 研究工作的透明度指标,但 lead 的定义与字面理解有差距
Anthropic 发布透明度指标,称 Claude 在 AL0 到 AL5 的 Epoch AI 量表上以 AL4 级别主导 26% 的模型开发工作,高于 2 月的不足 1%。
信息来源:The Decoder:AI News(RSS) · Claude
论文研究普通
CASCADE Against Jailbreaks: Combination Across Stages with Controlled Attack-Defense Evaluation
Defenses against jailbreak attacks on Large Language Models (LLMs) operate at different pipeline stages, such as input modification or output guard, but it remains unclear which defenses to deploy at each stage and how to combine them. Pri…
信息来源:arXiv
论文研究普通
RegKT: Interpretable and Robust Deep Knowledge Tracing With IRT-Regularizer
As deep learning models continue to advance, knowledge tracing models have achieved higher accuracy. However, these gains come at the cost of reduced interpretability, which is crucial for practitioners in educational settings to adopt new…
信息来源:arXiv