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New Term Radar
Discover names and concepts appearing in public sources, with dated evidence, source coverage and comparable growth.
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Collection coverage · Comparable windowsCurrent / previous observed days 7 / 7
Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.
Current window：2026-10-31 → 2026-11-07 (end excluded) · History 19 days
| Source | Current days | Previous days | Last success |
|---|---|---|---|
| arXiv | 6 | 5 | Nov 7, 2026, 12:45 AM UTC |
| arXiv | 7 | 4 | Nov 7, 2026, 5:30 AM UTC |
| Ask HN | 7 | 5 | Nov 7, 2026, 4:30 PM UTC |
| Ask HN | 7 | 5 | Nov 7, 2026, 4:30 PM UTC |
| Ask HN | 7 | 5 | Nov 7, 2026, 4:45 PM UTC |
| Ask HN | 7 | 5 | Nov 7, 2026, 4:45 PM UTC |
| GitHub | 7 | 5 | Nov 7, 2026, 1:15 PM UTC |
| GitHub Issues | 7 | 5 | Nov 7, 2026, 4:15 PM UTC |
| GitHub Releases | 7 | 3 | Nov 7, 2026, 12:45 PM UTC |
| GitHub | 7 | 5 | Nov 7, 2026, 2:45 PM UTC |
| GitHub Issues | 7 | 5 | Nov 7, 2026, 5:15 PM UTC |
| GitHub Releases | 7 | 5 | Nov 7, 2026, 5:15 PM UTC |
| GitHub | 7 | 5 | Nov 7, 2026, 2:45 PM UTC |
| GitHub Issues | 7 | 5 | Nov 7, 2026, 5:30 PM UTC |
| GitHub Releases | 7 | 5 | Nov 7, 2026, 5:15 PM UTC |
| GitHub Discovery | 2 | 0 | Nov 7, 2026, 4:45 PM UTC |
| GitHub Trending | 7 | 5 | Nov 7, 2026, 8:00 PM UTC |
| 7 | 4 | Nov 7, 2026, 8:45 AM UTC | |
| Hugging Face | 7 | 4 | Nov 7, 2026, 8:45 AM UTC |
| Hugging Face Spaces | 2 | 0 | Nov 7, 2026, 4:30 PM UTC |
| Hacker News | 7 | 5 | Nov 7, 2026, 8:00 PM UTC |
| Hacker News | 7 | 5 | Nov 7, 2026, 4:45 PM UTC |
| Hacker News | 7 | 5 | Nov 7, 2026, 4:45 PM UTC |
| Hacker News | 2 | 0 | Nov 7, 2026, 4:45 PM UTC |
| Show HN | 2 | 0 | Nov 7, 2026, 4:45 PM UTC |
| MIT News | 7 | 4 | Nov 7, 2026, 5:45 PM UTC |
| OpenAI | 7 | 5 | Nov 7, 2026, 11:45 AM UTC |
| Product Hunt | 7 | 5 | Nov 7, 2026, 8:00 PM UTC |
| 量子位 | 6 | 5 | Nov 6, 2026, 7:00 PM UTC |
| OpenRouter | 2 | 0 | Nov 7, 2026, 9:34 PM UTC |
| GitHub Trending | 7 | 7 | Nov 6, 2026, 1:15 PM UTC |
| Hugging Face Models | 2 | 0 | Nov 7, 2026, 9:34 PM UTC |
| HF Daily Papers | 2 | 0 | Nov 7, 2026, 9:34 PM UTC |
| OpenRouter | 2 | 0 | Nov 7, 2026, 9:34 PM UTC |
| Product Hunt | 7 | 7 | Nov 6, 2026, 1:15 PM UTC |
| SEC EDGAR | 7 | 5 | Nov 7, 2026, 10:45 AM UTC |
| Sequoia Capital | 7 | 4 | Nov 7, 2026, 6:45 AM UTC |
| Simon Willison | 2 | 0 | Nov 7, 2026, 3:30 PM UTC |
| TechCrunch | 7 | 5 | Nov 7, 2026, 9:45 PM UTC |
| Contracts Finder | 7 | 5 | Nov 7, 2026, 8:15 PM UTC |
| V2EX | 7 | 5 | Nov 7, 2026, 9:45 PM UTC |
- Counts describe monitored public sources, not the whole web or search demand.
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.
MPPI
arXiv:2610.28945v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly expected to interact with environments and improve their decisions during deployment. However, how anticipating future outcomes and drawing on accumulated interaction experience can jointly support decision-making remains underexplored. We propose a test-time f
First observed Oct 22, 2026 · arXiv
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TrainBridge
arXiv:2610.29171v1 Announce Type: new Abstract: We study how to improve training efficiency on Ascend NPUs. In the NPU training programs we study, framework-level compilation optimizations such as operator fusion are only partially applied, leaving fragmented computation and avoidable execution overheads. Profiling-guided tuning can address these inefficienc
First observed Oct 23, 2026 · arXiv
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Lapras
First observed Oct 9, 2026 · arXiv
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Botmail
First observed Oct 12, 2026 · Hacker News
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LoWAgent
arXiv:2610.27205v1 Announce Type: new Abstract: Web agents are typically evaluated on English-language interfaces, leaving their ability to operate across the world's multilingual websites largely unexplored. This gap is especially significant for low-resource languages, where standardized resources for evaluating web agents remain limited. To address this g
First observed Oct 22, 2026 · arXiv
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DecisionRobust
First observed Oct 16, 2026 · arXiv
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Emu Concept
First observed Oct 16, 2026 · Hacker News
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- 9 / 100
Aidlc
First observed Oct 15, 2026 · Hacker News
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TorchNeuron
First observed Oct 19, 2026 · Hugging Face / TechCrunch
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- 9 / 100
rStation
First observed Oct 16, 2026 · Hacker News
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EBG
arXiv:2610.26951v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) is the dominant paradigm for grounding large language models in external corpora, but its similarity-driven, chunked pipeline has structural blind spots: it cannot anticipate which passages a question requires and discards document-level context that resolves cross-passage r
First observed Oct 22, 2026 · arXiv
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Behavior Beyond Text
arXiv:2610.28982v1 Announce Type: new Abstract: While large language models are increasingly deployed as tool-calling agents, their safety evaluations still focus primarily on their ability to refuse harmful requests in text. We investigate whether the refusal behavior in text transfers to tool use. We construct a benchmark of 2,304 prompts across four domai
First observed Oct 22, 2026 · arXiv
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前建议检查画面
给正在找短视频创作工具的朋友分享一个在线 AI 视频工具： Meme Video Maker 。 它围绕短梗和趋势场景设计，可以从模板开始，也可以输入提示词；按流程加入工具要求的参考照片后，先查看场景要求、模型设置和预计积分成本，再生成视频。产品站还提供趋势参考、示例和操作指南。生成的视频是新的 AI 解释，效果会有变化，发布前建议检查画面，并确保上传素材有使用权。 这是一款付费产品，提供 Lite 、Pro 、Ultra 订阅与一次性积分包；产品资料中的 Lite 年付价格为 $149.99/年。适合想把照片或创意转成短梗/趋势视频的人参考。欢迎交流你们的短视频制作流程。
First observed Oct 25, 2026 · V2EX
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Synthetic-to-Real Code-Switched ASR
arXiv:2610.30860v1 Announce Type: new Abstract: Nepali-English code-switched conversational speech presents severe challenges for automatic speech recognition (ASR), chiefly through script confusion (inappropriate mixing of Devanagari and Latin orthography) and elevated error rates at language switch points. Supervised fine-tuning (SFT) can adapt multilingua
First observed Oct 24, 2026 · arXiv
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REA
First observed Oct 15, 2026 · Hacker News
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- 9 / 100
GeoFitBench-LLM
First observed Oct 12, 2026 · arXiv
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- 9 / 100
CyberArena
First observed Oct 22, 2026 · Hacker News
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- 9 / 100
Titan-Llama
First observed Oct 16, 2026 · arXiv
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- 9 / 100
HarnessHive
Hey HN! We built https://harnesshive.com , a browser based tool to help you design wiring harnesses together. HarnessHive has three key features 1) multiple engineers editing the same harness in real time 2) BOM and drawings that stay in sync automatically and 3) AI-native agent + MCP to assist designing. We hope HarnessHive can make harness design less pain
First observed Oct 22, 2026 · Hacker News
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- 9 / 100
TheoPhysEval
First observed Oct 15, 2026 · Hacker News
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- 9 / 100
Vertick
First observed Oct 18, 2026 · Hacker News
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- 9 / 100
Scope
First observed Oct 20, 2026 · Hacker News
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- 9 / 100
Nono
First observed Oct 18, 2026 · Hacker News
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- 9 / 100
Probing Ambiguity
First observed Oct 20, 2026 · arXiv
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- 9 / 100
Organ
First observed Oct 12, 2026 · Hacker News
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- 9 / 100
VendIQ
First observed Oct 10, 2026 · Hacker News
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- 9 / 100
GRAFT
arXiv:2610.29136v1 Announce Type: new Abstract: Continuous diffusion language models generate a whole sequence in parallel, never drawing a single word at any intermediate step; only the final step turns embeddings into text. Models such as ELF now report autoregressive-level quality at a fraction of the sampling steps of discrete-token diffusion models, and
First observed Oct 23, 2026 · arXiv
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Beyond Imitation
First observed Oct 9, 2026 · arXiv
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- 9 / 100
ToMStories
First observed Oct 19, 2026 · arXiv
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- 9 / 100
Agentic BSS Explained
First observed Oct 13, 2026 · Hacker News
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- 9 / 100