资讯时间轴
1546 条 · 11 个来源正文已在本站存档，原文失效也不会变成空页；已剔除失效外链与不合规内容。
早报｜苹果或为iPad Pro加入均热板/ChatGPT与Codex将共享额度/奇瑞回应智界独立：希望团队更像新势力
多家车企公布 10 月成绩单 · 奥特曼与三星约 50 名高管座谈，讨论 AI 未来十年的商业应用 · 西湖大学成立世界模型研究中心，计划三年内构建千亿参数模型#欢迎关注爱范儿官方微信公众号：爱范儿（微信号：ifanr），更多精彩内容第一时间为您奉上。
来源：爱范儿 · 本地全文 站内详情【钛晨报】事关股市，央行、金融监管总局、证监会今日将召开会议；中国国新、中国诚通，各获大行新增千亿级股票回购增持贷款额度；小鹏、小米10月交付量首超5万，鸿蒙智行同比腰斩
沪深上市公司前三季度净利润超5万亿元，创四年新高；DeepSeek发布全新Agent架构；英伟达展示下一代CPO方案；阿里巴巴与苹果达成合作，将千问集成至Apple智能；载人月球探测工程采用“两次发射、环月对接”方案；央行：11月2日起，每个工作日开展隔夜逆回购操作招标。
来源：钛媒体 · 本地全文 站内详情OpenAI might rebrand its data centers as ‘AI compute campuses’
Data centers are deeply unpopular. But what if we called them something else?
来源：TechCrunch AI · 本地全文 站内详情AI can make tech CEOs’ lives easier. What about everyone else?
On Equity, we discuss why tech CEO statements can seem so tone deaf.
来源：TechCrunch AI · 本地全文 站内详情拾趣 (Magpie) v0.1.19 发布，AI 更智能，内容识别更精准
拾趣 (Magpie) v0.1.19 发布，AI 更智能，内容识别更精准 拾趣 (Magpie)是一款跨平台沉浸式自定义AI 划词工具 划选或双击，浮动条随即弹出：翻译、解释、总结实时呈现；复制、搜索、写入 Obsidian、预填日历，结果直接落地。图片、视频与扫描文档中的文字，框选亦可识别——处理在原地完成，无需迁…
来源：OSC 开源中国 站内详情Pika 基于 MiniMax H3 开源 H3 Flex，六步实现音视频联合生成
近日，Pika 发布 MiniMax H3 衍生模型 Pika H3 Flex，并开放适配器权重与推理代码。该模型通过六步去噪联合生成画面和声音，支持文本、首尾帧和多模态参考输入，供创作者进行镜头设计、参考生成和视频编辑。 本次发布包含两套 LoRA 适配器，分别用于文本及首尾帧条件生成、多模态参考生成，同时提供 Mi…
来源：雷锋网 · 本地全文 站内详情从车工到巴西总统，卢拉为何看重中国车企？
七十年前，汽车工业改变了巴西，也制造出了卢拉。七十年后，中国车企进入，一个汽车大国再次寻找工业出路。这一次，我们从卢拉和巴西汽车工业的故事，聊聊中国车企正在进入一个怎样的巴西。
来源：钛媒体 · 本地全文 站内详情南十字星下的中国能源军团：All-Energy Australia 2026 背后的光储棋局
不是内卷外溢，也不是简单出海。是一场从“卖产品”到“卖系统能力”的产业位移，正在南半球悄然发生。
来源：钛媒体 · 本地全文 站内详情极氪10月交付同比增长51.6%，“海外最贵中国车”9X首销售罄
11月1日，极氪公布销量数据：10月交付新车32483辆，同比增长51.6%，1-10月交付超32万辆，同比增94.4%，平均客单价近37万元，已完成年度30万辆销售目标，是主流车企中量价齐升且唯一提前超额完成全年目标的品牌。其中，极氪7X连续4个月月销过万。同时，旗舰车型极氪9X在国内的热销也为海外开拓打下坚实基础，…
来源：雷锋网 · 本地全文 站内详情吉利Q3营收近千亿，在英国跨过新手期
2025年11月，从中国出发的1000辆EX5停靠在布里斯托港口，等待PDI检测。这是英国进口车的法定动作：检查运输损伤、激活车机软件、补齐随车配件以及充电测试。然后装上板车，分拨发往英国的各大经销商。EX5还要多一道程序——英国路特斯工程（莲花工程）对EX5的底盘，悬架，动力系统进行了动态评估，以及港口的交车前检测服…
来源：雷锋网 · 本地全文 站内详情小米汽车10月交付超5万辆，澎程首个完整交付月持续上量
11月1日，小米汽车公布10月交付数据，单月交付量首次突破5万辆大关。其中，新系列小米澎程迎来上市后首个完整交付月，交付持续爬坡，助力小米汽车整体销量再上新台阶。这标志着小米汽车“纯电加增程”的产品矩阵正式全面铺开，双系列稳步推进。 小米澎程作为小米汽车旗下智能可变大空间SUV系列，自9月7日上市以来，凭借智能可变大空…
来源：雷锋网 · 本地全文 站内详情【数智周报】张一鸣以6700亿元登顶中国首富，刷新中国首富财富纪录；阿里巴巴与Apple达成合作，将千问集成至Apple智能；Anthropic提交IPO注册文件，拟以“ANT”为代码在纳斯达克上市
（10 月 26 日-31 日）OpenAI据称将新一轮融资目标下调100亿美元，拟以1.25万亿美元估值融资200亿美元；谷歌推出最新世界模型Genie 4，模拟时长翻倍至2分钟、首次实现音视频同步生成；Meta拟融资350亿美元并计划推出600亿美元股票发行计划；中信证券：GPT-6 Astra进入机器人控制，物理…
来源：钛媒体 · 本地全文 站内详情人形机器人的第一份公账，Agility Robotics 上市前夜的深度解析
Agility Robotics 将于 11 月 5 日以「AGLT」登陆纳斯达克。全球首家在美股挂牌、且拥有真实商用人形部署的"纯血"公司。
来源：钛媒体 · 本地全文 站内详情小学生都可以看懂的例子，揭示为什么产销协同消除不了KPI矛盾，反而会引爆它？
各部门KPI全满分，公司ROIC却跌到3%？砸了千亿搞数字化转型，S&OP产销协同为何越开越乱？用极简的“两笔需求三颗料”，当场拆穿管理学的幻觉：KPI根本不是部门冲突，而是物理死锁！
来源：钛媒体 · 本地全文 站内详情Edge AI Daily 早报（11月1日）
AI叙事进入资本配置的周期性重估：纳斯达克录得2025年3月以来最差单月，Meta、Alphabet、Amazon财报利好却遭抛售，四巨头AI资本开支把自由现金流砸回负值，高盛预计2026年合计达7250亿美元；标普将Meta信用展望下调至负面，为其首次因AI基建支出获负面展望。一级市场同步降温，OpenAI融资目标从…
来源：钛媒体 · 本地全文 站内详情Apple CEO says the company doesn’t ‘want to ship AI for AI’s sake’
Apple's new CEO defended the company's current position in the AI landscape.
来源：TechCrunch AI · 本地全文 站内详情4 days left: How TechCrunch Founder Summit helps you make more useful connections to scale
On November 4 at Boston’s SoWa Power Station, get ready for a full day packed with meaningful networking opportunities, actionable insights, and connections tha…
来源：TechCrunch AI · 本地全文 站内详情Judge allows NAACP lawsuit over xAI data center pollution to move forward
An NAACP lawsuit accuses the SpaceX-owned AI company of violating the Clean Air Act.
来源：TechCrunch AI · 本地全文 站内详情OpenAI reportedly lowers funding target for new round
OpenAI’s latest funding round doesn't seem to be living up to expectations.
来源：TechCrunch AI · 本地全文 站内详情DeepSeek 重磅发布全新 Agent 架构：AI 开始指挥 AI 干活
AI Agent 的下一个瓶颈，可能是人类自己#欢迎关注爱范儿官方微信公众号：爱范儿（微信号：ifanr），更多精彩内容第一时间为您奉上。
来源：爱范儿 · 本地全文 站内详情让AI拼我用了12天完成的1000片“纯白地狱”，它五小时就崩溃了
我耗时 12 天拼完 1000 片纯白地狱拼图，尝试交给大模型挑战，它 5 小时便陷入崩溃。不是 AI 不能拼，而是擅长看图描述的生成式大模型缺少精密测量与全局约束能力；传统机器视觉方案反倒可行。这件实验，也照见我们当下思考外包、本末倒置的认知困境。
来源：钛媒体 · 本地全文 站内详情首届北大光华讲席教授聘任仪式举行，有四位教授获聘，看看都是谁？
周黎安、陆正飞、刘玉珍、姜铠丰四位教授分别获聘为学院金光讲席教授、香港校友会讲席教授、台新讲席教授和拉卡拉讲席教授。
来源：钛媒体 · 本地全文 站内详情从“懂回答”到“能执行”：Zoho如何让AI走进企业业务
10月20日，在以“助力中国企业全球化成长”为主题的Zoho北京媒体沟通会上， Zoho不仅向外界展示了其最新的企业级AI全景战略，更试图回答一个当前行业的普遍痛点：当AI大模型喧嚣了两年之后，为什么大多数企业在业务中依然觉得AI“用不起来”？ Zoho全球副总裁Mathivanan一针见血地点出了症结所在：“太短的决…
来源：雷锋网 · 本地全文 站内详情“开源才是护城河”：制造老炮把品胜的AI交给了00后
对赵国成而言，AI最终要落到生产力上；而考验丛泽龙团队的，将是怎么把一次次具体的创新变成可以复用、持续更新的能力。
来源：钛媒体 · 本地全文 站内详情LRMoE: Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes
Sparse Mixture-of-Experts (MoE) models offer scalable capacity for Web applications, but uneven routing creates computation and communication bottlenecks. Exist…
来源：arXiv cs.AI · 本地全文 站内详情Amortized Localized Posterior Inference for Model Calibration with Application to an Ocean Turbulence Closure
Model discrepancy may prevent a single calibration parameter from reproducing a physical response across the context domain. In addition, uncertainties in obser…
来源：arXiv cs.AI · 本地全文 站内详情ThinkJev: One Thought, Every Budget for Calibrated Typed Decisions
Many uses of language models end in a typed decision: a choice among a closed set of options, whose probabilities code can act on. Reading those probabilities f…
来源：arXiv cs.AI · 本地全文 站内详情OpenFrontiers: A Collection of Open Research Problems and a Benchmark for Scientific Rediscovery
Large language models (LLMs) have shown increasing promise in research-level problem solving, yet a comprehensive collection of such problems is still missing, …
来源：arXiv cs.AI · 本地全文 站内详情WebAnything: From the Wild Web to Scalable Agent Environments
Web agents require diverse, executable, and resettable website environments for reproducible training and evaluation. Human-assisted mirrors demand per-site eng…
来源：arXiv cs.AI · 本地全文 站内详情What Does an Ontology Catch? Curated, LLM-Generated and Data-Derived Ontologies as Checkers of LLM Agents over Knowledge Graphs
LLM agents that answer questions over Web knowledge graphs are increasingly wrapped in checks derived from the graph's ontology, on the assumption that a formal…
来源：arXiv cs.AI · 本地全文 站内详情Measuring Where Intent Gets Lost in Agentic Smart Contract Synthesis
AI agents can now write software from a plain-English description, but code that runs is not the same as code that does what was asked. This gap matters most fo…
来源：arXiv cs.AI · 本地全文 站内详情Detecting Covert Collusion between AI Agents through Partner-Outsider Positive Listening
AI agents that share a secret convention can coordinate through messages that look innocent, so a monitor that reads only the messages can miss them. We propose…
来源：arXiv cs.AI · 本地全文 站内详情Evaluating and improving AI agents for sequencing protocol understanding
Existing scientific-agent benchmarks rarely evaluate whether agents can reconstruct the exact molecular structures and generation workflows specified by sequenc…
来源：arXiv cs.AI · 本地全文 站内详情Seq@K: Evaluating Language Models Under Sequential Feedback
Language-model agents differ fundamentally from prior intelligent systems in their ability to learn from natural language in context. This capability enables ag…
来源：arXiv cs.AI · 本地全文 站内详情What Constitutes Food Similarity? Visual Representations and Retrieval in Indian Cuisine
Food similarity underlies retrieval, recommendation, substitution, and other food computing tasks, yet food representations are typically evaluated by identity …
来源：arXiv cs.AI · 本地全文 站内详情Verification Learning Theory: A Process Model of Checking and Retention in AI-Assisted Judgment
Accurate AI assistance can improve immediate judgments while reducing opportunities to practise the operations needed for independent performance. Verification …
来源：arXiv cs.AI · 本地全文 站内详情The Anatomy of Socio-Demographics in Pluralistic Offensiveness Modeling: When and Where It Helps, and the Role of Reasoning
Subjective judgments such as offensiveness often vary substantially across individuals, motivating pluralistic modeling approaches that incorporate annotators' …
来源：arXiv cs.AI · 本地全文 站内详情FilingLoop: Evaluating and Evolving LLM Agents for Corporate Disclosure Review and Revision
Public disclosure repositories such as SEC EDGAR support informed investment through web access to corporate filings. Supporting their review with language mode…
来源：arXiv cs.AI · 本地全文 站内详情Beyond Low-Pass Dynamics: Frequency-Selective Spiking Reservoirs with Resonant Neurons
Spiking reservoir computing combines the training efficiency of fixed recurrent reservoirs with the energy efficiency of event-driven inference, where computati…
来源：arXiv cs.AI · 本地全文 站内详情SciGame: Let Agents Play the Scientific Discovery Games in the Real and Counterfactual World
Large language model agents are increasingly used for scientific discovery. However, existing benchmarks mix law inference with programming, score data fitting …
来源：arXiv cs.AI · 本地全文 站内详情VerifiedLab: Harnessing Knowns for Unknowns
Across human history, knowledge has undergone several transitions, from orality to writing and then to digital archives. At each transition, humans established …
来源：arXiv cs.AI · 本地全文 站内详情GARDEN: Generalist Autonomous Reward Design Through Evidence Navigation for Cooperative Multi-Agent Reinforcement Learning
Cooperative multi-agent reinforcement learning (MARL) enables teams of agents, such as robots and autonomous vehicles, to learn coordinated behavior, but what s…
来源：arXiv cs.AI · 本地全文 站内详情Understanding Large Language Models as Numerical Optimizers
Large language models (LLMs) have emerged as potential tools for numerical optimization. Despite promising results, their intrinsic optimization capabilities an…
来源：arXiv cs.AI · 本地全文 站内详情SkillMem: Compact External Skill Memory for Latent Multi-Agent Reasoning
Latent multi-agent systems reduce inference cost by keeping intermediate reasoning and inter-agent communication in continuous representations.\ Reusable skills…
来源：arXiv cs.AI · 本地全文 站内详情GAUSS: A Workload-Aware Analytical and Monte-Carlo Simulator for LLM Inference Serving
Large language model (LLM) inference has become an operational workload that fleets must provision, monitor, and bill against latency service-level objectives (…
来源：arXiv cs.AI · 本地全文 站内详情Algorithmic Bias from the Perspectives of Healthcare Professionals
This paper focuses on algorithmic bias of machine learning and artificial intelligence applications in healthcare information systems. Based on the quantitative…
来源：arXiv cs.AI · 本地全文 站内详情Assessing Language Models for Scientific Applications: Inertial Confinement Fusion as a Use Case
Advancing language models for specialized scientific applications requires evaluations of scientific fluency, physical reasoning, and quantitative analyses. Usi…
来源：arXiv cs.AI · 本地全文 站内详情PromptSense: Sentiment-Aware Mental Health Chatbot with Dynamic Prompting
Current Large Language Models (LLMs)-based mental health chatbots often lack sufficient empathy, contextual awareness, and safety mechanisms, potentially leadin…
来源：arXiv cs.AI · 本地全文 站内详情Evaluating Causal Reasoning in LLMs: A Case Study in the Challenges of Procedural Generation
Large language models (LLMs) appear to represent and reason about a large range of phenomena. In particular, recent studies have examined whether LLMs can accur…
来源：arXiv cs.AI · 本地全文 站内详情AI-Driven Digital Twin Framework for Warehouse Logistics Automation Optimization
In recent years, warehouse logistics optimization has increasingly focused on intelligent, data-driven systems to enhance operational efficiency. Conventional s…
来源：arXiv cs.AI · 本地全文 站内详情Too Hard, Too Easy, Just Right: Performance-Driven Challenge Adaptation in Virtual Reality Firefighter Training
Effective firefighter training requires practice under dynamic and stressful emergency conditions, yet real-world live-fire exercises are costly, risky, and dif…
来源：arXiv cs.AI · 本地全文 站内详情Post-Training Large Language Models with LLMON
Large Language Models (LLMs) treat all context tokens uniformly, lacking explicit separation between executable instructions and passive data. This leads to pro…
来源：arXiv cs.AI · 本地全文 站内详情Decompose, Don't Expand: Capability-Independent AI Systems by Construction
A recurring design choice in building AI systems is whether, when a task is too hard for a model, to expand the model (make it larger, better-prompted, fine-tun…
来源：arXiv cs.AI · 本地全文 站内详情SkillCT: A Multidimensional Benchmark and Execution-Free Baseline for Agent Skill Assessment
Agent skills package instructions, scripts, and resources for specialized tasks and are increasingly distributed through public Web repositories. However, exist…
来源：arXiv cs.AI · 本地全文 站内详情BridgeRouter: Gain-Aware Instance Routing over Cross-Modal Bridge Portfolios
Lightweight representation bridges make pretrained, task-adapted EEG foundation models executable on other biosignal modalities without retraining their backbon…
来源：arXiv cs.AI · 本地全文 站内详情DecompGym: Benchmarking LLM Agents on Designing Decomposition Algorithms
Benders decomposition and column generation solve large optimization problems by passing cuts, columns, and dual values between a master problem and subproblems…
来源：arXiv cs.AI · 本地全文 站内详情Prototype-Guided Dynamic Domain Modulation and a Large-Scale Multi-SKU Benchmark for Shampoo Bottle Surface Defect Detection
Industrial shampoo-bottle surface defect detection must operate across many stock keeping units (SKUs), where differences in bottle geometry, material, label la…
来源：arXiv cs.AI · 本地全文 站内详情From Natural Language to Real Schematics: An Automated Workflow for Power Electronics Schematic Synthesis
Designing power electronics converters traditionally requires intensive human expertise across topology sizing, commercial component selection, circuit simulati…
来源：arXiv cs.AI · 本地全文 站内详情GAAC: Lossless KV Compression for Bandwidth-Efficient LLM Inference on Personal Devices
Weight-only, lossy quantization substantially reduces the storage and memory requirements for serving large language models (LLMs), but the growing key-value (K…
来源：arXiv cs.AI · 本地全文 站内详情Disparity Laundering: Consensus Without Fairness in Clinical Multi-Agent Systems
Clinical large language models are increasingly fielded as multi-agent teams, on the assumption that deliberation averages out individual error. It does not ave…
来源：arXiv cs.AI · 本地全文 站内详情Rubricon: Automated Rubric Generation and Refinement for LLM Evaluation and Training
Rubrics enable reward assignment on tasks without verifiable answers, but are expensive to manually produce from scratch. We present Rubricon, a pipeline that g…
来源：arXiv cs.AI · 本地全文 站内详情FACTS-MAS: A Multi-Agent Architecture for Adaptive Forecasting from Heterogeneous Evidence
Real-world forecasting often requires integrating heterogeneous evidence whose predictive value varies across horizons, operating regimes, and domains. We intro…
来源：arXiv cs.AI · 本地全文 站内详情Verification-Guided Retrosynthesis: Reaction Feedback and Evidence Timing
Retrosynthesis planning seeks synthesis routes from purchasable starting materials to a target molecule. Search over predicted reactions can connect a target to…
来源：arXiv cs.AI · 本地全文 站内详情