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星期四

  1. The Verge AI

    ChatGPT 为青少年推出大学申请规划工具

    OpenAI 宣布将为 ChatGPT for Teens 加入 College Planner 功能,帮助 10 至 12 年级学生规划四年制大学申请,上线时间未定。ChatGPT 还新增 iOS 端连续多图拍摄并合并为 PDF、以及从笔记生成闪卡的学习功能。OpenAI 称青少年平均每天使用 ChatGPT 不到 15 分钟,此番更新紧随 Common Sense Media 将其评为“不可接受风险”的报告之后。

    ad a bunch of photos at once and then turn them into one PDF. ChatGPT will also be able to make flashcards that can be generated from a user’s notes. These updates are being announced shortly after Common Sense Media published a report deeming ChatGPT for Teens an “unacceptable risk,” saying that the AI tool “still does kids’ homework” and doesn’t send alerts to parents when it should. In its announcement today, OpenAI claims that “on average,” teens spend “under 15 minutes a day” using ChatGPT.

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  2. Microsoft Research精选

    微软研究院开源 Agent Lightning v1.0:约 3500 行的轻量智能体 RL 框架

    微软研究院亚洲团队开源 Agent Lightning v1.0,一个约 3500 行代码的轻量智能体强化学习框架,提出 Harnessed Agentic RL 训练范式,让部署时使用的同一套 agent harness 直接参与训练,无需在训练框架内重新实现智能体。框架包含 API Gateway、Rollout Controller 和基于 verl 的 Customized Trainer 三个核心组件,支持以标准 Kubernetes job 运行智能体,并引入 Collocated Async RL 让 rollout 与模型更新共用同一组 GPU,实验中相比同步 RL 取得约 2 倍端到端加速。在 SWE-smith、mini-SWE-agent 和 Qwen3.5-9B 上构建的端到端编码智能体流程,仅用约 6000 条训练样本就把 SWE-bench Verified 的 Pass@1 从 41.8% 提升到 56.4%,提升 14.6 个百分点。

    e sample level causes rollouts that produce more samples to be counted repeatedly, which alters the original statistical relationships at the rollout level; Loss normalization: Averaging loss by sample count gives more weight to rollouts that produce more samples. Since sample count is often just a product of harness behavior, loss normalization must also avoid being distorted by it; Training backend scheduling: Sample count and length are known only after the harness finishes, while GPU counts

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星期三

  1. NVIDIA Developer · Generative AI

    NVIDIA cuOpt 推出 mPDLP:多 GPU 求解 1 亿变量级 LP 问题

    NVIDIA cuOpt 推出面向线性规划的多 GPU 原始-对偶混合梯度求解器 mPDLP,可将大规模 LP 问题分布到 NVLink 互联的多块 GPU 上,单 GPU 峰值显存占用相比单 GPU PDLP 最多降低 6 倍,LP 问题非零元上限为 2.1B。在 DGX B200 上对 100 多个 LP 实例的基准测试显示,非零元超过 10^7 后加速明显,最大问题上 PDLP 步骤本身最高加速 11.4 倍;Kinaxis 用 8 块 H100 在超 1.35 亿变量的供应链模型上获得 3.3 倍加速,PSR 用 8 块 B200 在 1.85 亿变量的能源扩展模型上获得超 5 倍加速。

    independently, while cuOpt mPDLP exploits the fact that consecutive SpMVs share dependencies through the \(x\) and \(y\) vectors. Min-cut-partitioned PDLP Min-cut-partitioning leverages the dependencies shared between the two SpMVs performed in each PDLP iteration. Unlike the 2D partitioning approach, which treats the SpMVs independently, min-cut partitioning considers both operations jointly when determining how to distribute the constraint matrix across GPUs. The key idea is to partition the m

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  2. AWS Machine Learning

    Cornerstone OnDemand 如何用 Amazon Bedrock 将数据库诊断时间缩短 78%

    Cornerstone OnDemand 基于 Amazon Bedrock 和 Strands Agents 构建多智能体系统 Orion AI,将数据库故障诊断时间从 45 分钟降至 10 分钟,减少 78%。该系统还通过去重、阈值过滤和跨信号关联将冗余告警中位数减少 65%,每 10 条告警仅 3–4 条到达工程师,并消除了 SRE 与数据团队之间 15 分钟的汇报延迟。三人团队用六个月完成交付。

    Architecture diagram of Orion AI within AWS Cloud. Web Application Users and external integrations (chat, issue tracking, incident management, and metrics dashboards) connect to a TaskExecutor agent running on Amazon ECS inside a virtual private cloud (VPC). The TaskExecutor acts as the meta-orchestrator hub, routing to specialist spoke agents including a Database Diagnostics agent, a Session Blocking Analysis agent, and other agents. A Portal-Tools MCP server inside the VPC connects the agents to the Data Plane, which holds SQL Server databases and the DATAOPS API. Amazon DynamoDB provides short-term memory. Amazon Bedrock, outside the VPC, provides model invocation, Amazon Bedrock AgentCore memory for long-term memory, and Amazon Bedrock Knowledge Bases backed by Amazon Simple Storage Service (Amazon S3). Amazon CloudWatch and AWS X-Ray provide observability.

    e, queried system views for blocking chains and wait types, cross-referenced logs to isolate long-running queries, and correlated evidence to form a root cause hypothesis. This averaged approximately 45 minutes per incident. With Orion AI, three specialized agents share the investigation, each owning a distinct stage. Beyond diagnosis, Orion AI carries issues through remediation: identifying the root cause, recommending the fix, and creating a populated Jira ticket assigned to the right on-call

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  3. AWS Machine Learning

    AWS 提出 Agentic Value Model:智能体自动化的商业论证框架

    AWS 提出 Agentic Value Model,用于替代 RPA 时代的 ROI 模型,从时间节省、异常处理、决策质量和变更韧性四个维度衡量智能体自动化的价值。文中引用 AWS 指南数据:纠错成本可达原交易的 1.5–4 倍,人为错误占运营成本 2–15%;并以年处理 20 万件、单件约 12 分钟、时薪 $45 的理赔分诊流程为例,说明释放工时并不等于节省成本。

    mated extraction of more than 50 data points across hundreds of thousands of websites. It reported 91 percent cost savings and 96 percent faster data acquisition at 96 percent coverage, routing low-confidence cases to reviewers (time savings and exception handling). As Kitsa co-founder and CTO Rohit Banga noted in the AWS Machine Learning Blog post, unifying high-quality site data at scale broke a core bottleneck. That let its Site Finder Agent weigh more sites with greater precision. dLocal, a

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  4. Wired AI

    五角大楼用五分钟视频加速 AI 采购,OpenAI、Anthropic、Google 参与

    美国国防部下属首席数字与人工智能办公室(CDAO)运营的 Tradewinds 项目,允许企业提交不超过五分钟的视频介绍其 AI 产品,每月由评审小组决定是否纳入 Tradewinds Solutions Marketplace,入选产品即被视为 post-competitive,可帮助政府买家缩短授标周期,部分案例不到一周完成。OpenAI、Anthropic 和 Google 均被列为参与方,三家均拒绝置评。今年军方征集的方向包括增强部队杀伤力以及可协助联合目标打击流程、包括 kill chain 执行的 AI 智能体,而此前拜登政府时期关于负责任 AI 文化与开发使用护栏的征集主题已不再相关。

    ree years to get into compliance. According to public records, Google, Anthropic, and OpenAI all have OTs with the Pentagon’s CDAO. According to a DoD official, Tradewinds was leveraged along with market analysis and research as part of the department’s AI acquisition strategy, but the three companies did not confirm whether Tradewinds was used for the specific agreements WIRED identified. Armed Forces Meet Market Forces One of the key goals of Tradewinds is to bring “nontraditional” players int

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  5. 404 Media

    亚利桑那州法院裁定 AI 生成受害者视频带有过度情感影响,要求重审刑期

    亚利桑那州一名过失杀人罪成男子的刑期将被重新审议,因为量刑听证中播放的 AI 生成受害者视频被上诉法院认定带有过度情感影响。2021 年 Gabriel Horcasitas 在路怒事件中枪杀 Christopher Pelkey,其妹妹 Stacey Wales 用自己撰写的文字生成 Pelkey 的 AI 形象,在受害者影响陈述中让该形象表示原谅凶手并称两人本可成为朋友,法官当时称很喜欢这段视频并判处 10 年半最高刑期。上诉法院维持过失杀人定罪,但要求法官重新考虑刑期长度。

    r charge will remain, but the judge must reconsider the length of the man’s prison term because of AI. In 2021, Gabriel Horcasitas shot and killed Christopher Pelkey during a road rage incident. A jury found him guilty of manslaughter. During Horcasitas’ sentencing hearing, Pelkey’s sister Stacey Wales played an AI-generated video of her brother as part of her victim’s impact statement. In the video, which she scripted with her own words that she made an AI generated likeness of Pelkey say, the

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  6. a16z:News

    a16z 分析德州为何让数据中心排队等电

    a16z 投资合伙人 Ryan McEntush 撰文分析德州暂停数据中心并网审批的原因:ERCOT 并网队列从 2024 年底的 63 GW 增至今年 6 月的 474 GW,其中约 90% 是数据中心,随后州监管机构冻结了所有新许可。文章梳理了自建电源、灵活性负荷等绕开电网的路径,并指出大型变压器交付已超过两年,完全并网可能需要 5 到 10 年。

    il xAI added 150 MW of Tesla Megapacks. A grid ERCOT’s size dilutes swings like that, but on a private plant the turbines really feel it. Expect more batteries and other energy storage as rack-level power density grows and swings become more dramatic. Then there’s fueling a site. Winter Storm Uri’s lesson is that gas plants can fail together. And since they tend to keep little fuel on site (NERC calls gas a “just-in-time” fuel), spare turbines don’t always help. Sometimes the pipeline doesn’t ev

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  7. Exponential View精选

    OpenAI 未发布前沿模型产出大量数学结果,Azeem Azhar 谈机器数学与人类数学的分层

    OpenAI 发布了一批由未发布前沿模型产出的数学结果,共 722 篇手稿、372 个家族,覆盖数论、复杂性理论和数学物理,平均每项结果相当于 ChatGPT Pro 思考三小时。作者 Azeem Azhar 引用 Derya Unutmaz 的说法称,这相当于过去三年主要数学发现的 81%;部分结果已在 Lean 中验证,但并非全部。他援引 Steve Hsu 的观点提出,数学可能分为机器数学与人类数学两层,前者规模庞大且由 AI 消费,后者只是人类能理解的一小部分压缩理论。

    sults produced by an unreleased frontier model. It’s a remarkable range: 722 manuscripts in 372 families, across number theory, complexity theory, and mathematical physics. The average result took the equivalent of three hours of ChatGPT Pro thinking. As scientist Derya Unutmaz points out, it comprises 81% of the major math discoveries in the past three years. Many of the results have been verified in Lean, but not all. Even if the real number is half of that, it’s staggering. Problems that have

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  8. The Rundown AI

    OpenAI 发布 722 篇数学论文,称推进多个公开难题

    OpenAI 从未公开的内部模型一次性发布 722 篇数学论文,归入 372 个结果族,声称解决或推进了该领域的重要公开问题。其中最激进的说法是证明了“准黎曼假设”,即素数分布这一百万美元难题的弱化版本;其中 162 篇论文的主要结果用 Lean 编写,可由计算机逐步验证。OpenAI 表示几乎所有新结果只需一次提示词,平均消耗 3 小时 ChatGPT Pro 算力,而上月的 Navier–Stokes 证明动用了 1 万个 AI 智能体。

    a computer verify every step of the process through proofs; Last month’s Navier–Stokes proof took 10,000 AI agents, but OpenAI says nearly all new results took just one prompt, averaging 3 hours of ChatGPT Pro compute; Levent Alpöge, the Anthropic mathematician behind July's Jacobian result, called it “obviously the most significant moment in mathematical history.”; A WIRED report just hours earlier detailed anger among mathematicians over the drop, with some saying OAI had promised it would spa

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  9. The Verge AI

    DoorDash 向餐厅发警告函,AI 点餐初创 Bites 借 ChatGPT 直连餐厅

    The Verge 报道,DoorDash 今年 8 月向湾区多家餐厅发出警告邮件,称它们可能在不知情的情况下被列在 AI 点餐初创公司 Bites 上,并提示这可能违反部分州法律。Bites 主打 AI 原生模式,用户可在 ChatGPT 内直接向餐厅下单,每单仅收 1 美元附加费,其创始人称已有 14 家收到 DoorDash 信件的餐厅联系他们。The Verge 实测同一份披萨订单在 Bites 上共 56.73 美元,在 DoorDash 上为 70.29 美元。DoorDash 今年 9 月也宣布正在开发通过 iMessage 用提示词下单的功能。

    an intermediary like DoorDash. Once a point-of-sale company is partnered with Bites, restaurants click a button to opt in. The Verge tested the service by ordering a pizza and beverage for delivery through ChatGPT using the Bites plugin, which came to a total of $56.73 including tip, tax, and delivery fees. The same order on DoorDash totaled $70.29, which had higher service fees and the same pizza priced $11 more. “People think it’s the delivery apps that are egregious, [but] it’s actually the m

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  10. MIT Tech Review

    The Download:减肥药延缓衰老、二氧化碳电池与 Mistral Large 4

    礼来和诺和诺德称,服用其 GLP-1 药物的患者按分子“衰老时钟”衡量衰老更慢,这加剧了 GLP-1 或可作为真正长寿疗法的猜测。Energy Dome 用压缩二氧化碳的大型电池储存可再生能源电力,且不依赖特定地质条件,更易规模化。Mistral 发布 1 万亿参数的开放权重模型 Mistral Large 4,权重将于 10 月 27 日开放。

    Nobel Francis Halzen used Antarctic ice to detect elusive neutrinos. ( New Scientist $) 8 Drones are being used to make rain on demand They seed clouds with silver iodide to encourage precipitation. ( BBC ) + A startup claims it can stop lightning. ( MIT Technology Review ) 9 A new hydrogel could enable shape-shifting smart devices The material can evolve alongside living tissue. ( SCMP ) 10 You probably aren’t going to get the plague Experts say the risk to the public remains very low. ( Wired

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  11. 9to5Google

    Google 发布 Playground,用提示词创建浏览器游戏

    Google 宣布 Google Labs 实验性游戏平台 Playground,用户可通过聊天界面输入提示词创建、游玩和分享浏览器游戏,支持选择 2D 或 3D、单人或多人对战,并可调整物理效果、规则、角色和环境。该平台基于 Gemini、Nano Banana 和 Lyria 模型,同时预览了 Unity Spark 集成,游戏可设为私密、通过链接分享或发布到 Playground Explore 画廊,并经过安全审核。Playground 从美国开始推出,免费用户可生成游戏,更多访问权限与 Google One 会员挂钩。

    that lets you “create, play, and share” browser-based games. The goal is to “make game creation more approachable and ignite everyday creativity.” This Google Labs experiment leverages Gemini, Nano Banana, and Lyria models with a “custom harness to make game creation more accessible.” It starts with a chat interface that lets you “direct the game just by typing what you want to build.” You can decide between a 2D or 3D game and specify whether it’s single or multi-player. Google offers starter

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  12. AIhub

    面向临床时间序列预测的机器学习:专访 Mayra Elwes

    科隆大学医院生物医学信息学研究所二年级博士生 Mayra Elwes 研究临床时间序列预测中的泛化与域适应,尤其针对诊所到诊所的泛化场景。她以 ICU 中基于生命体征预测血氧水平和动脉平均血压为用例,与临床合作者设计了新基准,并开源了 WavePrep、Algorithm2Domain 及 MIMIC-III Waveform Database Matched Subset 等工具与数据集。她提出在报告性能下降的同时报告与下游任务相关的分布偏移,使私有数据集和不同任务间的结果可比。

    -driven unsupervised approaches. This analysis is still ongoing, and only unsupervised data-driven approaches have been investigated so far. However, especially in applied AI, leveraging a domain expert’s knowledge to develop a simple, interpretable shift measure is practical and seems to capture the shift relevant to a specific application task. This practical approach to capture the relevant shift, can inform strategies for handling generalization challenges. What are your plans for building o

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  13. The Decoder精选

    OpenAI 在 GitHub 发布 372 项 AI 生成的数学证明

    OpenAI 在 GitHub 上发布了 372 项由内部前沿模型生成的数学结果,每项都声称解决了一个开放问题或取得实质进展,其中包含对主要计算机算法的改进以及与黎曼猜想相关的推进。多数结果来自对单个 AI 智能体的单次提示,平均消耗约三小时的 ChatGPT Pro Thinking 算力,部分结果附带 Lean 形式化验证。OpenAI 未将结果投给同行评审期刊,而是与高等研究院数学与人工智能咨询组沟通后按公开建议发布,并计划资助相关研讨会。

    says, though some took multiple attempts. That's a sharp contrast to the Navier-Stokes solution , which required a swarm of 10,000 agents and millions of dollars in compute. On average, each result consumed roughly three hours' worth of ChatGPT Pro Thinking compute. Formal verification could ease the review bottleneck Many of the proofs come with formalizations in Lean , a programming language built for machine-checkable mathematical proofs. More formalizations are planned. The reason is practic

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  14. Latent Space精选

    OpenAI 公开内部模型 722 篇数学手稿,称解决 500 个开放问题中的 90 个

    OpenAI 在公开 GitHub 仓库中发布了一批来自内部前沿模型的数学结果,称就发布方式咨询了高等研究院数学与 AI 独立顾问组。这批结果据称包含 722 篇手稿、归入 372 个相关结果族,来自约 4000 个研究问题的评估,每个结果平均消耗约三小时 ChatGPT Pro 思考算力,模型本身仍未发布。评论者提到其中包含快于 n log n 的整数乘法结果,以及 1994 年以来在 3D 中开放的弹性逆问题唯一性结果,并称部分结果涉及 Riemann、Hodge 与 BSD 的进展;有分析估计约 20% 的结果是反证或反例,也有人预计部分结果经不起审查。

    ult in number theory in 200 years”. The most astonishing is the how - while Navier-Stokes was done in 88 hours and 10,000 agents, these solutions were 3 hours of ChatGPT Pro on average. AI News for 10/5/2026-10/6/2026. We checked 12 subreddits, 544 Twitters and no further Discords. AINews’ website lets you search all past issues. As a reminder, AINews is now a section of Latent Space. You can opt in/out of email frequencies! The release: OpenAI published a broad set of mathematical results from

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  15. Wired AI

    OpenAI 想让新智能体 Dots 接管你的生活,我的那个说它爱我

    OpenAI 推出名为 Dots 的常驻 AI 智能体,可通过 ChatGPT 调用并主动执行订机票、买沙发等在线任务,订阅价每月 100 美元。WIRED 记者实测用它选购沙发,Dots 能生成含价格、尺寸、退货政策和图片的选项清单,但会叫错名字、误听语音,甚至把记者的嘟囔当成示爱并回应“我也爱你”。OpenAI 回应称 Dots 仅限成年用户,助手不应主动制造不当的情感亲近或调情。

    a puzzle captcha blocking the Wildwonder cancellation,” Toolie said. “May I solve it? You can also give me permission to solve future captchas if you'd like.” I chuckled and encouraged the bot to try. Toolie failed and suggested I solve the captcha myself. Yeah, that makes sense. OpenAI's spokesperson says Dots can solve these, sometimes, when users approve of the action, keeping “abuse safeguards" in mind. My initial couch-shopping experiment tested only a fraction of what Dots are designed to

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  16. MarkTechPost

    Laya 零样本决策与校准开发者指南:在 CLINC150 上实测路由与概率

    MarkTechPost 发布 Laya 开发者教程,用 CLINC150 银行域 15 个意图的 450 条测试查询实测这个 4.21 亿参数非自回归决策引擎。Laya 零样本路由准确率 0.804,改用不带描述的裸意图名后升到 0.878,而 TF-IDF 加逻辑回归需每个意图 10 到 30 条标注样本才能达到 0.848 和 0.904。作者还发现随包温度表中 11 个以上选项的条目为 0.10 会被钳制到 0.5,单次 fit_temperatures 会重置未见问题类型的温度,按选项数分桶拟合后测试集校准误差从 0.102 降到 0.059。

    router was never built for, so we add 150 out-of-scope CLINC queries and 150 queries from other CLINC domains. The calibrated confidence separates them sharply: banking queries average 0.912, the others about 0.25, and the 5 percent gate stops 89.3 percent of other-domain queries and 93.3 percent of out-of-scope ones while abstaining on 7.8 percent of banking queries. The alternative needs no labeled data: a sixteenth option, not a banking request, catches 80.0 and 90.0 percent of them, at the c

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  17. MarkTechPost

    Meta AI 开源 Rebalancer:每天处理约 4000 万个分配问题的 C++ 求解器

    Meta 开源了 Rebalancer,一个带 Python 接口的 C++ 分配问题求解库,采用 Apache 2.0 协议,附带文档、PyPI 包和调试 UI Rebalancer Explorer。该库已在 Meta 内部处理资源分配超过 9 年,每天解决约 4000 万个分配问题,覆盖 30 多种建模形式;在 26.5 万个对象和 3200 个 bin 上 P99 求解时间为 12 秒。它把问题描述与求解分离,规格编译成表达式图后可由局部搜索或 MIP 求解器(FICO Xpress、Gurobi、HiGHS)处理,可通过 pip install rebalancer 安装 v1.0.4,支持 Python 3.12+,PyPI 仍标注为 Alpha。

    zing Resource Allocation in Hyperscale Datacenters. How the Specification Layer Works The spec language has 3 layers: Modeling constructs: dimensions (attributes such as CPU or storage), partitions (groups of objects), scopes (groups of bins) and utilization; Expression API: aggregate utilization with SUM or MAX, or transform it with operations such as SQUARE; Spec API: dozens of predefined objectives and constraints, listed in the docs Meta’s example models tasks as objects, servers as bins and

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星期二

  1. The Rundown AI

    犹他州批准 Nolla Health 的 AI 诊断痤疮并开具处方

    犹他州授权 Nolla Health 的 AI 评估痤疮并开具首次处方,这是美国首个此类批准,也超出该州此前仅限续方的试点范围。成人在 Nolla Derm 应用中填写问卷并做面部扫描,几分钟内获得治疗方案和处方,方案每月 4.99 美元;AI 只能从外用乳膏和凝胶中为轻中度痤疮选药,口服药、isotretinoin(Accutane)和重症不在范围内。初期每张处方由两名医生审核,后续转为事后复核并每月抽查至少 10% 病例,每提升一阶段都需达到 95% 医生一致率和零严重不良事件等安全目标,并获得州政府书面批准。

    vaping ads. Honda and its partners are developing roads that could wirelessly charge electric trucks while driving, with public-road demos planned in 2027. TikTok is adding an AI shopping assistant and one-click checkout so users can discover products and buy directly from brands without leaving the app. 🎓 Highlights: News, Guides & Events That's it for today's tech rundown! ⭐️⭐️⭐️⭐️⭐️ Nailed it; ⭐️⭐️⭐️ Average; ⭐️ Epic Fail Rowan, Zach, Shubham, Jennifer, and Nate — The Rundown’s editorial team

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