New Term Radar

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Seven-day figures use the complete UTC window above. Priority is a research triage score, not search volume, market size or a probability of success.

1. Named entityNewly observed

   Seq

   arXiv:2610.37859v1 Announce Type: new Abstract: Language-model agents differ fundamentally from prior intelligent systems in their ability to learn from natural language in context. This capability enables agents to iteratively refine their answers in response to feedback, a prevalent mode of operation in modern agentic workflows. However, the community prim

   First observed Oct 30, 2026 · arXiv

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2. Named entityNewly observed

   north-mini-code-20260617

   First observed Nov 6, 2026 · OpenRouter

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3. ConceptNewly observed

   ICF

   arXiv:2610.38024v1 Announce Type: new Abstract: Advancing language models for specialized scientific applications requires evaluations of scientific fluency, physical reasoning, and quantitative analyses. Using inertial confinement fusion (ICF) as a test case, we have developed an expert-curated benchmark of 250 questions spanning qualitative reasoning, nume

   First observed Oct 30, 2026 · arXiv

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4. Named entityNewly observed

   matthewmrichter/mooftcp

   First observed Nov 6, 2026 · Hacker News

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5. Named entityNewly observed

   GARDEN

   arXiv:2610.37926v1 Announce Type: new Abstract: Cooperative multi-agent reinforcement learning (MARL) enables teams of agents, such as robots and autonomous vehicles, to learn coordinated behavior, but what such teams learn is largely determined by their reward function. Because task success alone provides too little guidance for learning, intermediate rewar

   First observed Oct 30, 2026 · arXiv

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6. Named entityNewly observed

   LRMoE

   arXiv:2610.37720v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (MoE) models offer scalable capacity for Web applications, but uneven routing creates computation and communication bottlenecks. Existing placement and replication methods redistribute this workload, yet additional expert copies compete with token-related buffers for limited GPU memory

   First observed Oct 30, 2026 · arXiv

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7. Named entityNewly observed

   OpenFrontiers

   arXiv:2610.37739v1 Announce Type: new Abstract: Large language models (LLMs) have shown increasing promise in research-level problem solving, yet a comprehensive collection of such problems is still missing, and evaluating them on research-level problems remains challenging. We introduce OpenFrontiers, a cross-disciplinary resource that combines a structured

   First observed Oct 30, 2026 · arXiv

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8. Named entityNewly observed

   SpecDeck

   Writing good specs is hard. You don’t know everything upfront and it’s impossible to write every little detail in the spec. Much of my job as a developer has been to treat specs as intent, and fill out the blanks in the code and use the code reviews as a way to question those decisions. But as coding agents have started to produce much more code, the decisio

   First observed Oct 30, 2026 · Hacker News

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9. ConceptNewly observed

   VLT

   arXiv:2610.37875v1 Announce Type: new Abstract: Accurate AI assistance can improve immediate judgments while reducing opportunities to practise the operations needed for independent performance. Verification Learning Theory (VLT) formalises this possibility for claim-evaluation practice followed by correct, independent, rule-specific feedback. The model link

   First observed Oct 30, 2026 · arXiv

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10. Named entityNewly observed

    SkillMem

    arXiv:2610.37935v1 Announce Type: new Abstract: Latent multi-agent systems reduce inference cost by keeping intermediate reasoning and inter-agent communication in continuous representations.\ Reusable skills, however, are commonly supplied as text or stored as layer-wise Key-Value states or skill-specific model parameters, introducing repeated processing or

    First observed Oct 30, 2026 · arXiv

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11. Named entityNewly observed

    WebAnything

    arXiv:2610.37786v1 Announce Type: new Abstract: Web agents require diverse, executable, and resettable website environments for reproducible training and evaluation. Human-assisted mirrors demand per-site engineering, while generative construction can diverge from specified real websites. Capture-and-replay preserves observations, with interaction coverage c

    First observed Oct 30, 2026 · arXiv

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12. Named entityNewly observed

    Pika-Labs/Pika-H3-Flex

    Pika H3 Flex: video and audio generation inference

    First observed Nov 6, 2026 · GitHub Discovery

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13. Named entityNewly observed

    Opencommerce

    If you're building an AI agent that buys things for its users, opencommerce by Agentcard gives it one buy tool: search, cart, checkout and order tracking across 5,000+ online stores, through a single endpoint. No merchant integrations to build and no agent browser to run. Agentcard places the order once the user approves. It's fast: it searches catalogues an

    First observed Oct 30, 2026 · Hacker News

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14. Named entityNewly observed

    LibStructBench

    arXiv:2610.37851v1 Announce Type: new Abstract: Existing scientific-agent benchmarks rarely evaluate whether agents can reconstruct the exact molecular structures and generation workflows specified by sequencing protocols, a capability critical for analyzing customized sequencing assays. We introduce LibStructBench, a document-grounded benchmark for reconstr

    First observed Oct 30, 2026 · arXiv

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15. Named entityNewly observed

    Beyond Low-Pass Dynamics

    arXiv:2610.37906v1 Announce Type: new Abstract: Spiking reservoir computing combines the training efficiency of fixed recurrent reservoirs with the energy efficiency of event-driven inference, where computation is triggered by sparse spikes rather than executed densely at every timestep. However, existing spiking reservoirs almost exclusively rely on Leaky I

    First observed Oct 30, 2026 · arXiv

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16. Named entityNewly observed

    PromptSense

    arXiv:2610.38044v1 Announce Type: new Abstract: Current Large Language Models (LLMs)-based mental health chatbots often lack sufficient empathy, contextual awareness, and safety mechanisms, potentially leading to ineffective or harmful interactions. This paper proposes a novel framework that integrates sentiment and depression analysis with a rule-based filt

    First observed Oct 30, 2026 · arXiv

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17. Named entityNewly observed

    VerifiedLab

    arXiv:2610.37923v1 Announce Type: new Abstract: Across human history, knowledge has undergone several transitions, from orality to writing and then to digital archives. At each transition, humans established new conventions to preserve knowledge for the new era. Nowadays, as research agents are increasingly deployed for laboratory experiments, knowledge is c

    First observed Oct 30, 2026 · arXiv

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18. Named entityNewly observed

    Assure

    First observed Oct 31, 2026 · Hacker News

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19. Named entityNewly observed

    SkillCT

    arXiv:2610.38147v1 Announce Type: new Abstract: Agent skills package instructions, scripts, and resources for specialized tasks and are increasingly distributed through public Web repositories. However, existing skill benchmarks primarily focus on downstream task execution, insufficiently assessing specification quality, behavioral robustness, semantic align

    First observed Oct 30, 2026 · arXiv

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20. Named entityNewly observed

    四大

    First observed Oct 31, 2026 · 量子位

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21. ConceptNewly observed

    LIF

    arXiv:2610.37906v1 Announce Type: new Abstract: Spiking reservoir computing combines the training efficiency of fixed recurrent reservoirs with the energy efficiency of event-driven inference, where computation is triggered by sparse spikes rather than executed densely at every timestep. However, existing spiking reservoirs almost exclusively rely on Leaky I

    First observed Oct 30, 2026 · arXiv

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22. ConceptNewly observed

    MARL

    arXiv:2610.37926v1 Announce Type: new Abstract: Cooperative multi-agent reinforcement learning (MARL) enables teams of agents, such as robots and autonomous vehicles, to learn coordinated behavior, but what such teams learn is largely determined by their reward function. Because task success alone provides too little guidance for learning, intermediate rewar

    First observed Oct 30, 2026 · arXiv

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23. Named entityNewly observed

    Sikaru

    First observed Oct 30, 2026 · Hacker News

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24. Named entityNewly observed

    ThinkJev

    arXiv:2610.37732v1 Announce Type: new Abstract: 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 from one forward pass is fast but often wrong on decisions that take several steps, such as arithmetic, counting, and date comparison. Letting the model

    First observed Oct 30, 2026 · arXiv

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25. Named entityNewly observed

    文章到现在

    Shepi （ shepi.app ）是 Herdr 的 Mac 原生窗口，Herdr 是让 agent 一直活着的终端运行时。从发布文章到现在，它推了三版更新：1.1.0 、1.1.1 和 1.2.0 。这次加的是这些： agent 可以把刚做出来的页面作为 pane 开在自己旁边，dev server 跑在别的机器上也一样。 一个 Worktree 视图，直接告诉你每个 checkout 里还留着什么，安全的那些可以一次删掉，剩下的单独决定。 提示音在该响的时候立刻响，不该响的时候不响。 发反馈时可以附上诊断日志；关闭确认卡片出现在你开始关闭的那个地方。 每个版本的改动逐条列在 版本记录 。如果你没看过发布文章，简短版依然成立：每个 agent 都在真正的终端里，在这台 Mac 上或你的服务器上，而那个需要

    First observed Oct 31, 2026 · V2EX

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26. Named entityNewly observed

    LumaFold

    Makeup Mirror & Color Effects for iPhone Duo

    First observed Oct 31, 2026 · Product Hunt

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27. Named entityNewly observed

    AnySpeechRecognizer

    First observed Oct 30, 2026 · Hugging Face

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28. Named entityNewly observed

    Welcome Le Chonk

    First observed Oct 30, 2026 · Hugging Face

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29. Named entityNewly observed

    Acremuse

    I decided to test this claim with my app, NoMoreHappyPath (NMHP), against Claude on a real project. Here is the test: I built Acremuse, a commercial real estate analysis platform, with Claude Desktop and Codex as a reviewer. It is deployed and used today by a couple of investors. Then I wondered what I'd missed that might bite me later. ~ 374,000 Lines of pr

    First observed Oct 30, 2026 · Hacker News

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30. Named entityNewly observed

    家庭试卷工作台

    初衷很简单：要在网上搜试卷，打印给妹妹做（成绩实在惨不忍睹了）。偶然发现小红书上资源挺不错，一开始就是个简单网页，后来嫌操作繁琐——先用浏览器脚本下载图片，再本地合成 PDF 打印，有时候还得调整图片。趁着 ZCode 还在送 token ，干脆让它直接做成了程序。中间经历了几次迭代，有些功能边界我自己可能都没用到，目前基本功能差不多了，感兴趣的可以试试。 它能做什么 采集浏览 ：在小红书笔记页手动采集试卷图片（单篇手动、有节流，仅限个人学习用途） 试卷库 + 整理打印 ：页序调整、补页，直接打印或导出 A4 PDF （纵/横混排） 试卷批阅 ：本地导入或手机扫码上传作答照片（局域网直传，先进暂存区核对才入库），支持人工批阅和 AI 批阅双路径 AI 批阅 ：推荐走外部批阅——生成 PDF + 配套提示词，丢给

    First observed Oct 30, 2026 · V2EX

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