全候補一覧 - 2026-06-08

全 162 件: high=23, medium=70, low=69 内訳: {'hf_paper': 50, 'blog': 4, 'google_news': 75, 'hacker_news': 3, 'reddit': 30}

🔴 high (23件)

[HuggingFace Papers] LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs — Gianluca Barmina, Peter Schneider-Kamp, Lukas Galke Poech 👍8 (score=3.1, reason: LLMの訓練データ漏洩問題は重要な安全課題)
[HuggingFace Papers] The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs — Xu Wan, Speed Zhu, Jianwei Cai 👍7 (score=3.1, reason: 推論時間スケーリングの実用的分析)
[HuggingFace Papers] World-Language-Action Model for Unified World Modeling, Language Reasoning, and Action Synthesis — Yi Yang, Zhihong Liu, Siqi Kou 👍7 (score=3.1, reason: マルチモーダル具現化基盤モデルの統合)
[HuggingFace Papers] Benchmark Everything Everywhere All at Once — Shiyun Xiong, Dongming Wu, Peiwen Sun 👍2 (score=3.0, reason: LLM/MLLM評価の包括的ベンチマーク)
[TechCrunch AI] OpenAI is still working on that ‘super app’ (score=3.0, reason: OpenAIの新製品戦略の動き)
[GNews: Anthropic/Claude (TradingKey)] Anthropic IPO: Key Information You Need to Know About Claude’s Creator (score=3.0, reason: Anthropic IPO計画は業界に重大な影響)
[GNews: AI partnership (NVIDIA Newsroom)] NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories (score=3.0, reason: NVIDIAの重要インフラ強化パートナーシップ)
[GNews: AI partnership (Stock Titan)] NVIDIA links 'AI factories' buildout to new SK hynix memory deal (score=3.0, reason: AI基盤構築のキーパートナーシップ)
[GNews: AI partnership (Quiver Quantitative)] NVIDIA and SK hynix Form Multiyear Partnership to Advance Next-Generation Memory for AI Infrastructure (score=3.0, reason: NVIDIA-SK hynixの次世代メモリ開発)
[GNews: AI partnership (Seeking Alpha)] Nvidia deepens SK Hynix partnership as AI infrastructure demand accelerates (NVDA:NASDAQ) (score=3.0, reason: NVIDIA-SK Hynix深化がインフラ需要反映)
[GNews: AI partnership (조선일보)] SK Hynix, NVIDIA Co-Develop Next-Gen AI Memory (score=3.0, reason: 次世代AIメモリ共同開発の重要性)
[GNews: AI partnership (bloomingbit)] Naver, Nvidia Forge Partnership to Build Gigawatt-Scale AI Factory (score=3.0, reason: ギガワット級AI工場の大規模インフラ構想)
[GNews: AI partnership (Chosunbiz)] Nvidia and SK hynix forge long-term AI memory alliance to power global infrastructure - CHOSUNBIZ (score=3.0, reason: NVIDIA-SK hynixの長期AI戦略的提携)
[GNews: AI partnership (bloomingbit)] SK Telecom, Nvidia Pursue Full-Stack AI Cloud Partnership, Target 2027 Korea AI Factory Debut (score=3.0, reason: SK TelecomとNvidiaの大規模AI基盤投資)
[GNews: AI partnership (아시아경제)] Jensen Huang: "Era of Physical AI Has Arrived... Joint Roadmap Design with SK hynix" (score=3.0, reason: Physical AI時代宣言、SK hynixとの戦略提携)
[GNews: Llama/Meta AI (Memeburn)] Meta AI Chatbot Security Fail 2026: Hackers Took Control of Instagram Accounts (score=3.0, reason: Meta AIチャットボットのセキュリティ侵害)
[GNews: Llama/Meta AI (Yahoo Finance)] Meta’s Potential Mega Equity Raise Puts AI Ambitions And Dilution In Focus (score=3.0, reason: Meta大規模資金調達計画発表)
[GNews: Llama/Meta AI (Crypto Briefing)] Meta considers massive stock offering to fund AI expansion as Big Tech races for capital (score=3.0, reason: Meta$145B AI投資の大規模資金調達)
[GNews: Llama/Meta AI (Crypto Briefing)] Meta Platforms plans massive stock sale to fund $145B AI investments (score=3.0, reason: Meta大規模株式売却計画、$145B投資)
[GNews: Llama/Meta AI (MLQ.ai)] Meta Shares Drop 5.5% on Report It May Raise Tens of Billions in Equity for AI (score=3.0, reason: Meta数十億株式調達計画の市場反応)
[GNews: 生成AI日本 (毎日新聞)] 米アンソロピック、開発減速を提言 AIの安全性巡る議論に一石 (score=3.0, reason: 主要AI企業の安全性に関する重要提言)
[GNews: 生成AI日本 (Ledge.ai)] SBIグループ、Claudeを全役職員に展開へ Anthropicと金融AIエージェント開発、Claude Securityも共同検証 (score=3.0, reason: Anthropic・SBI戦略提携、大手金融AI展開)
[GNews: 生成AI日本 (finance.biggo.jp)] Anthropicが「AI開発減速」提言、コードの8割を自社AIが生成 (score=3.0, reason: Anthropicの重要発表、AI開発戦略と自社AI活用状況)

🟡 medium (70件)

[HuggingFace Papers] ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time? — Woojung Song, Nalim Kim, Sangjun Song 👍45 (score=2.5, reason: ロールプレイエージェントの評価研究)
[HuggingFace Papers] TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration — Soyeong Jeong, Jinheon Baek, Minki Kang 👍38 (score=2.4, reason: LLMエージェントの主体的問題発見)
[HuggingFace Papers] AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints — Jiayu Liu, Cheng Qian, Zhenhailong Wang 👍37 (score=2.4, reason: LLMエージェントの制約下計画評価)
[HuggingFace Papers] VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding — Lin Fu, Zheyuan Yang, Yang Wang 👍34 (score=2.3, reason: ビデオ理解の新規データセット)
[HuggingFace Papers] Reinforcement Learning Elicits Contextual Learning of Unseen Language Translation — Hanxu Hu, Zdeněk Šnajdr, Pinzhen Chen 👍23 (score=2.2, reason: LLMの言語学習能力の新知見)
[HuggingFace Papers] LoomVideo: Unifying Multimodal Inputs into Video Generation and Editing — Jianzong Wu, Hao Lian, Jiongfan Yang 👍21 (score=2.2, reason: 動画生成・編集の統合モデル)
[HuggingFace Papers] Rethinking Continual Experience Internalization for Self-Evolving LLM Agents — Jingwen Chen, Wenkai Yang, Shengda Fan 👍19 (score=2.2, reason: LLMエージェントの経験内部化)
[HuggingFace Papers] The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset — Richard Schwarzkopf, Fabian Immel, Alexander Blumberg 👍15 (score=2.1, reason: 自動運転データセット、実用性が高い)
[HuggingFace Papers] Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation? — Rui Zhao, Kaiming Yang, Jifeng Zhu 👍15 (score=2.1, reason: 動画生成とロボット制御への新展開)
[HuggingFace Papers] MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery — Shangheng Du, Xiangchao Yan, Jinxin Shi 👍13 (score=2.1, reason: LLMエージェントの自動化研究)
[HuggingFace Papers] AffordanceVLA: A Vision-Language-Action Model Empowering Action Generation through Affordance-Aware Understanding — Qize Yu, Jiadi You, Yuran Wang 👍10 (score=2.1, reason: VLAモデルのロボット制御への応用)
[HuggingFace Papers] MAOAM: Unified Object and Material Selection with Vision-Language Models — Jaden Park, Valentin Deschaintre, Jason Kuen 👍9 (score=2.1, reason: VLMを使った画像編集の実用的応用)
[HuggingFace Papers] Latent Reasoning with Normalizing Flows — Guancheng Tu, Xiangjun Fu, Suhao Yu 👍7 (score=2.1, reason: LLM推論の理論的改善)
[HuggingFace Papers] Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM Agents — Ziyan Liu, Zhezheng Hao, Yeqiu Chen 👍6 (score=2.1, reason: LLMエージェントのメモリ最適化)
[HuggingFace Papers] Flash-WAM: Modality-Aware Distillation for World Action Models — Arman Akbari, Ci Zhang, Arash Akbari 👍6 (score=2.1, reason: ロボット向けビデオ生成の実用的研究)
[HuggingFace Papers] Imagine Before You Predict: Interleaved Latent Visual Reasoning for Video Event Prediction — Tianxiang Jiang, Linquan Wu, Sheng Xia 👍5 (score=2.0, reason: ビデオ予測の新手法)
[HuggingFace Papers] The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models — Liuyuan Wen, Xun Zhu, Lihao Huang 👍4 (score=2.0, reason: LLMの算術能力の理論的分析)
[HuggingFace Papers] AdaCodec: A Predictive Visual Code for Video MLLMs — Haowen Hou, Zhen Huang, Zheming Liang 👍4 (score=2.0, reason: 映像MLLMの効率化技術)
[HuggingFace Papers] SePO: Self-Evolving Prompt Agent for System Prompt Optimization — Wangcheng Tao, Han Wu, Weng-Fai Wong 👍4 (score=2.0, reason: システムプロンプト最適化の自動化)
[HuggingFace Papers] Learning Geometric Representations from Videos for Spatial Intelligent Multimodal Large Language Models — Haibo Wang, Lifu Huang 👍3 (score=2.0, reason: MLLMの3D理解能力向上への実用的アプローチ)
[HuggingFace Papers] MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understanding — Qian Kou, Xiaofeng Shi, Yulin Li 👍3 (score=2.0, reason: MLLMの機械図面理解ベンチマーク)
[HuggingFace Papers] Revising Context, Shifting Simulated Stance: Auditing LLM-Based Stance Simulation in Online Discussions — Xinnong Zhang, Wanting Shan, Hanjia Lyu 👍2 (score=2.0, reason: LLMの社会的バイアス検証の重要研究)
[HuggingFace Papers] EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management — Zherui Yang, Fan Liu, Yansong Ning 👍2 (score=2.0, reason: LLMエージェントの自動データ科学)
[HuggingFace Papers] Video2LoRA: Parametric Video Internalization for Vision-Language Models — Manan Suri, Sarvesh Baskar, Dinesh Manocha 👍2 (score=2.0, reason: ビジョン言語モデルの効率化)
[HuggingFace Papers] BRepCLIP: Contrastive Multimodal Pretraining on BRep Primitives for CAD Understanding — Muhammad Usama, Didier Stricker, Mohammad Sadil Khan 👍1 (score=2.0, reason: CAD理解への新しいマルチモーダルアプローチ)
[HuggingFace Papers] LLM Anonymization Against Agentic Re-Identification — Ziwen Li, Jianing Wen, Tianshi Li 👍1 (score=2.0, reason: LLM安全性の新しい脅威モデル)
[HuggingFace Papers] AURA: Intent-Directed Probing for Implicit-Need Surfacing in Situated LLM Agents — Yang Li, Jiaxiang Liu, Jiang Cai 👍1 (score=2.0, reason: LLMエージェントのユースケース実用性改善)
[HuggingFace Papers] Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination — Jiasheng Zheng, Boxi Cao, Boxi Yu 👍1 (score=2.0, reason: コード生成のRL手法スケーリング)
[HuggingFace Papers] Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning — Ziyang Yao, Haochen Liu, Yuncheng Jiang 👍1 (score=2.0, reason: 自動運転向けの行動推論モデル)
[HuggingFace Papers] SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces — Qi Hu, Yifeng Tang, Qinghua Wang (score=2.0, reason: LLMコーディングエージェントの安全性ベンチマーク)
[HuggingFace Papers] ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment — Qiuyu Tian, Haojie Yin, Yingce Xia (score=2.0, reason: AI研究方向決定のエージェント活用)
[TechCrunch AI] Is this the dawn of the Tokenpocalypse? (score=2.0, reason: AI企業の価格政策変化の兆候)
[GNews: Anthropic/Claude (Decrypt)] Frontier AI Models Can Find Crypto's Biggest Bugs. Experts Warn the Industry Isn't Ready (score=2.0, reason: AI技術の暗号セキュリティ応用)
[GNews: Anthropic/Claude (Jacobin)] The Era of Cheap AI Is Over (score=2.0, reason: AI価格上昇のトレンド報告)
[GNews: Anthropic/Claude (Crypto Briefing)] Anthropic’s Claude Opus 4.7 matches dedicated NMR software in chemistry tasks (score=2.0, reason: Claude化学タスク性能実績)
[GNews: Anthropic/Claude (Let's Data Science)] Anthropic Urges Slower AI Progress Amid Risks (score=2.0, reason: AI安全性についての経営姿勢表明)
[GNews: Anthropic/Claude (The Globe and Mail)] The Anthropic IPO Could Make These 5 AI Stocks Unexpected Winners (score=2.0, reason: IPO関連のスピンオフ効果分析)
[GNews: Anthropic/Claude (simplywall.st)] Varonis Anthropic Alliance Puts AI Governance At Center Of Growth Story (score=2.0, reason: AI統治テーマの戦略的パートナーシップ)
[GNews: AI partnership (Yahoo Finance)] TSMC Nvidia AI Partnership Puts Factory Efficiency And Valuation In Focus (score=2.0, reason: TSMC-NVIDIA戦略の企業評価への影響)
[GNews: AI partnership (HealthExec)] New Mayo–Microsoft collaboration may mean much for AI in healthcare (score=2.0, reason: 医療AI分野の大手企業コラボレーション)
[GNews: AI partnership (Yahoo Finance)] Similarweb (SMWB) Expands Partnership with Perplexity for AI Workflows (score=2.0, reason: Perplexity拡大とAIワークフロー統合)
[GNews: AI partnership (Digital Watch Observatory)] Japan and US deepen AI science collaboration under Genesis Mission (score=2.0, reason: 国家間のAI科学協力強化)
[GNews: AI partnership (Seoul Economic Daily)] Doosan Group, Nvidia Forge Broad AI Factory, Physical AI Partnership (score=2.0, reason: 大手グループのAI工場構築パートナーシップ)
[GNews: AI partnership (The Korea Times)] Nvidia extends partnership with Korean gaming giants (score=2.0, reason: Nvidia大手企業との提携拡大)
[GNews: AI partnership (아시아경제)] Doosan Expands AI Alliance with NVIDIA, Boosts Collaboration in Energy, Robotics, and Materials (score=2.0, reason: Doosanの産業AI連携強化)
[GNews: AI funding (Startup Fortune)] Forbes AI 50 shows AI startups are moving beyond model size (score=2.0, reason: AI企業の多様化トレンド分析)
[GNews: Llama/Meta AI (PYMNTS.com)] Türkiye Opens Investigation Into Meta Over WhatsApp AI Integration (score=2.0, reason: Meta AI規制問題の発生)
[GNews: Llama/Meta AI (Startup Fortune)] Meta's Instagram hack shows the danger of giving AI the keys (score=2.0, reason: AI導入のセキュリティリスク指摘)
[GNews: Llama/Meta AI (Tech Times)] Self-Improving AI Draws $650 Million: Ex-Meta Scientist Tian Bets Models Build Models (score=2.0, reason: 元Meta科学者による自己進化AI投資)
[GNews: 生成AI日本 (キーマンズネット)] なぜ姫路市の救急病院AIチャットは、2週間で正答率最高90％を出せたのか？ (score=2.0, reason: 医療AI実装の実例、実用性高い)
[GNews: 生成AI日本 (au Webポータル)] 使うほど育つオープンソースの自律型AI「Hermes Agent」にデスクトップアプリ登場。ターミナル操作不要（生成AIクローズアップ） (score=2.0, reason: オープンソースAIツール、ユーザー利便性向上)
[GNews: 生成AI日本 (ビジネス+IT)] 職人の技を残したい…岐阜の町工場が「生成AI」で挑む、超切実な「技能承継の突破口」 (score=2.0, reason: 製造業での実践的AI活用事例)
[GNews: 生成AI日本 (株式会社ヴァリューズ)] SEOの完全自動化はまだ遠い？生成AIを活用する担当者の最多が「80％以上修正」する現実【NEXER調査】 (score=2.0, reason: 実装課題の調査、実務的知見)
[GNews: 生成AI日本 (MONOist)] 生成AIがPythonコードでファナックロボット操作「サイは投げられた」：FOOMA JAPAN 2026 (score=2.0, reason: ロボット制御への実装、産業応用例)
[GNews: 生成AI日本 (CGWORLD.jp)] 3D生成AI「Rodin Gen-2.5」リリース最大1,000万ポリゴンの生成が可能に、4秒100万ポリゴンの高速生成、LLM的思考プロセス搭載、12Kテクスチャ (score=2.0, reason: 3D生成AI技術進展、性能大幅向上)
[GNews: 生成AI日本 (週刊エコノミスト Online)] 到来！フィジカルAI：日本企業よ！フィジカルAIの「身体×OS」を設計せよ田中道昭 (score=2.0, reason: フィジカルAI戦略論、業界トレンド)
[GNews: 生成AI日本 (日本経済新聞)] ライトアップ[6580]：AIが取材から記事化・対話AI化までを全自動で行う基盤「インタビューメディア自動生成AI」を整備 2026年6月8日(適時開示) ：日経会社情報DIGITAL (score=2.0, reason: 上場企業のAI事業展開、ビジネスニュース)
[GNews: 生成AI日本 (ITmedia)] AIによるコード生成、3年後は3倍超に AI普及で浮上する課題は (score=2.0, reason: コード生成AI普及予測、開発課題提起)
[GNews: 生成AI日本 (日経クロストレンド)] 新市場「エージェンティックコマース」に5つの疑問 AIが起こすEC大転換 (score=2.0, reason: EC業界の新トレンド「エージェンティックコマース」の分析)
[GNews: 生成AI日本 (東京報道新聞)] コンサル業界に「冬の時代」到来か生成AIと補助金バブル終焉で淘汰加速 (score=2.0, reason: AI導入による業界構造変化、ビジネストレンド)
[GNews: 生成AI日本 (月刊私塾界)] FCEの業務効率化ツール「ロボパットAI」導入企業数2,100社を突破生成AI需要を追い風に拡大 (score=2.0, reason: 国内AI企業の事業拡大、実装事例)
[GNews: 生成AI日本 (ビジネス+IT)] NTTグループなど6社、IOWN APNとフィジカルAIによる遠隔設備点検の実証 (score=2.0, reason: フィジカルAIと遠隔設備点検の実証、実用例)
[HN LLM/Claude/GPT] I design with Claude more than Figma now (score=2.0, reason: Claude Codeの実用性評価、デザイン業務への活用)
[r/LocalLLaMA] Control a 3D avatar with language instead of buttons (score=2.0, reason: 言語制御による3Dアバター操作、インタラクティブAI実装)
[r/LocalLLaMA] Qwen3.6 35B-A3B on a Laptop: My Zero to One Moment (score=2.0, reason: Qwen3.6の実用性確認、ローカル推論の進展)
[r/LocalLLaMA] What's your experience with Gemma4 QAT? (score=2.0, reason: Gemma4 QAT性能評価、量子化技術トレンド)
[r/LocalLLaMA] 2-bit QAT model releases (score=2.0, reason: 2-bit QAT研究動向、量子化技術の進展)
[r/LocalLLaMA] Galaxy Z Fold6 as a local inference node — llama.cpp/Vulkan, homelab telemetry, SHA-256 model verification (score=2.0, reason: モバイルでのローカル推論実装例、実用化事例)
[r/LocalLLaMA] Dockerized Nemotron 3.5 ASR — Switched from Parakeet, better multilingual support + streaming (4.5x realtime speed on cpu) (score=2.0, reason: Nemotron3.5 ASRの実装比較、音声認識進展)
[r/singularity] Artificial Analysis | Google's Go To Website for Benchmaxxing | Gemini 3.1 Pro is nowhere near Opus 4.7 in real life use (score=2.0, reason: Gemini 3.1とClaude Opusの性能比較)

⚪ low (69件)

[HuggingFace Papers] Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution — Liliana Hotsko, Yinxi Li, Yuntian Deng 👍72 (score=1.5, reason: コード言語モデルの特定最適化手法)
[HuggingFace Papers] RobotValues: Evaluating Household Robots When Human Values Conflict — Jongwook Han, Hyeongjin Kim, Yohan Jo 👍24 (score=1.2, reason: ロボット評価は応用領域限定)
[HuggingFace Papers] Personal AI Agent for Camera Roll VQA — Thao Nguyen, Krishna Kumar Singh, Donghyun Kim 👍19 (score=1.2, reason: 特定ユースケースのVQA)
[HuggingFace Papers] Complexity-Balanced Diffusion Splitting — Noam Issachar, Dani Lischinski, Raanan Fattal 👍16 (score=1.2, reason: 生成モデルの技術的改良)
[HuggingFace Papers] Unsupervised Skill Discovery for Agentic Data Analysis — Zhisong Qiu, Kangqi Song, Shengwei Tang 👍11 (score=1.1, reason: データ分析エージェントの小改良)
[HuggingFace Papers] OPRD: On-Policy Representation Distillation — Shenzhi Yang, Guangcheng Zhu, Bowen Song 👍7 (score=1.1, reason: 蒸留手法の技術的改善)
[HuggingFace Papers] Towards One-to-Many Temporal Grounding — Qi Xu, Yue Tan, Shihao Chen 👍5 (score=1.1, reason: ビデオグラウンディングの既存タスク拡張)
[HuggingFace Papers] SEAOTTER: Sensor Embedded Autoencoding with One-Time Transcode for Efficient Reconstruction — Dan Jacobellis, Neeraja J. Yadwadkar 👍4 (score=1.0, reason: ロボット画像圧縮の特定技術改良)
[HuggingFace Papers] Towards Truly Multilingual ASR: Generalizing Code-Switching ASR to Unseen Language Pairs — Gio Paik, Hyunseo Shin, Soungmin Lee 👍4 (score=1.0, reason: ASRの言語混合は特定分野限定)
[HuggingFace Papers] Trust Region Q Adjoint Matching — Yonghoon Dong, Kyungmin Lee, Changyeon Kim 👍3 (score=1.0, reason: 強化学習の特定手法改良)
[HuggingFace Papers] Absorbing Complexity: An Interaction-Native Knowledge Harness for Financial LLM Agents — Ailiya Borjigin, Igor Stadnyk, Ben Bilski 👍2 (score=1.0, reason: 金融エージェント特定ドメインの改良)
[HuggingFace Papers] Regret Minimization with Adaptive Opponents in Repeated Games — Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu 👍1 (score=1.0, reason: ゲーム理論の理論的研究、AI応用性限定)
[HuggingFace Papers] Multimodal Music Recommendation System using LLMs — Srikar Prabhas Kandagatla, Sreehitha R. Narayana, Chandana Magapu 👍1 (score=1.0, reason: 特定ドメイン(音楽)の応用研究)
[HuggingFace Papers] Quality-Guided Semi-Supervised Learning for Medical Image Segmentation — Kumar Abhishek, Ghassan Hamarneh 👍1 (score=1.0, reason: 医療画像分割は既存手法の応用)
[HuggingFace Papers] Is This Edit Correct? A Multi-Dimensional Benchmark for Reasoning-Aware Image Editing — Yixuan Ding, Wei Huang, Ruijie Quan 👍1 (score=1.0, reason: 画像編集ベンチマーク（特定タスク）)
[Hugging Face Blog] Amazing Digital Dentures (a failed project) (score=1.0, reason: 失敗プロジェクト、関連性低)
[TechCrunch AI] Notion restores access to Anthropic after service disruption (score=1.0, reason: サービス一時停止の報告)
[GNews: Anthropic/Claude (Decrypt)] Claude Opus 4.8 Review: Better At What’s It Good At, Worse At What It’s Not (score=1.0, reason: 製品レビュー記事)
[GNews: Anthropic/Claude (Australian Broadcasting Corporation)] Anthropic wants caution but the market wants more AI (score=1.0, reason: 市場動向の一般論)
[GNews: Anthropic/Claude (Tech Times)] Claude Code Skills: Inside Anthropic’s Playbook for the Nine Types That Actually Work (score=1.0, reason: Claudeの機能紹介記事)
[GNews: Anthropic/Claude (The Tech Buzz)] Notion Restores Anthropic AI Access After Brief Outage (score=1.0, reason: サービス障害の一時的な復旧)
[GNews: AI partnership (simplywall.st)] Is Shift4 (FOUR) Using Voice AI Partnerships To Strengthen Its Restaurant Payments Moat? (score=1.0, reason: 特定企業のボイスAI導入の事例分析)
[GNews: AI partnership (Yahoo Finance)] A Look At ExlService Holdings (EXLS) Valuation After New NVIDIA AI Collaboration (score=1.0, reason: 特定企業の株価評価への限定的影響)
[GNews: AI partnership (아시아경제)] [Photo] Jensen Huang, "AI Collaboration with SK" (score=1.0, reason: 経営者コメントの報道レベル)
[GNews: AI funding (Startup Fortune)] Africa's startups are learning to fund growth closer to home (score=1.0, reason: 地域限定の資金調達トレンド)
[GNews: Llama/Meta AI (Yahoo Finance)] Here is why Meta Platforms, Inc. (META) is among the Top 10 Stocks That Members of Congress Own (score=1.0, reason: 株式保有情報、AI関連性薄い)
[GNews: Llama/Meta AI (Quiver Quantitative)] Meta Platforms Stock (META) Opinions on AI Spending and Growth Prospects (score=1.0, reason: 株式分析、AI関連性薄い)
[GNews: Llama/Meta AI (Yahoo Tech)] Don’t hold your breath for Meta’s Muse Spark AI to pop up in your phone apps anytime soon (score=1.0, reason: 製品化見通しの不確実性情報)
[GNews: Llama/Meta AI (24/7 Wall St.)] Got $10,000? Meta vs Nvidia: The Better Opportunity Right Now (score=1.0, reason: 株式投資比較記事)
[GNews: Llama/Meta AI (thestreet.com)] Mark Zuckerberg and Meta face first tough test after layoffs (score=1.0, reason: 経営判断の一般評論)
[GNews: Llama/Meta AI (WinBuzzer)] Meta Test For AI Generated Story Cards Raises Labeling Questions Open (score=1.0, reason: Meta内部テスト、表示ラベル問題)
[GNews: 生成AI日本 (IT Leaders)] ローコード開発「楽々Framework3」、生成AIでアドオン用コードを自動生成 (score=1.0, reason: 既存ツールの機能追加、実用性は限定的)
[GNews: 生成AI日本 (AFPBB News)] 検索はネイバー優勢、生成AIはChatGPTが圧倒、配達アプリ首位は「配達の民族」…韓国デジタル利用実態 (score=1.0, reason: 市場利用動向調査、AI業界の根本的なニュースではない)
[GNews: 生成AI日本 (慶應義塾)] 小倉孝誠：文学研究と生成AI (score=1.0, reason: 学術的関心は限定的、実用性低い)
[GNews: 生成AI日本 (Yahoo!ニュース)] 「生成AI活用環境を重視」効率を求める新入社員と「自分の頭で考えろ」という上司…利用禁止の職場も “令和の新人教育”の賛否論争（ピンズバNEWS） (score=1.0, reason: 職場ポリシー論議、AI業界の技術進展とは別)
[GNews: 生成AI日本 (ICT教育ニュース)] キャリアの悩み、生成AIに相談した約59％が実際に行動に移した経験あり =NEXERとRSG調べ= (score=1.0, reason: 一般利用調査、個別事例に過ぎない)
[GNews: 生成AI日本 (HRzine)] 調査で明らかになった、目標設定・評価における生成AIの活用事例と使い方の共通項 (1/2) (score=1.0, reason: HR領域の活用事例、業界全体への影響小)
[GNews: 生成AI日本 (慶應義塾)] 川畑秀明：生成AIの作り出したアートを脳はどう感じているのか？ (score=1.0, reason: 認知科学的興味、AI技術開発とは別領域)
[GNews: 生成AI日本 (ビジネス+IT)] 碧海信金・多摩信金・大阪シティ信金ら超解説、想像以上に凄い「生成AI活用術」の全貌｜FinTech Journal (score=1.0, reason: 金融機関の活用事例紹介、広告的内容)
[GNews: 生成AI日本 (オリックス・バファローズ)] 【BPB DX】動画『【ビジョン映像】生成AI職業体験～投手編～』公開！ (score=1.0, reason: 娯楽企画、AI関連性が薄い)
[GNews: 生成AI日本 (au Webポータル)] 「生成AI活用環境を重視」効率を求める新入社員と「自分の頭で考えろ」という上司…利用禁止の職場も “令和の新人教育”の賛否論争 (score=1.0, reason: 職場での生成AI利用の社会的議論、AI技術内容薄い)
[GNews: 生成AI日本 (Yahoo!ニュース)] 「就活なんてチョロい」中堅大から大手マスコミ5社内定。AIに自己分析から面接の台本まで丸投げした22歳の告白 (score=1.0, reason: 就活事例の報道、一般的な社会ニュース)
[GNews: 生成AI日本 (Yahoo!ニュース)] 検索はネイバー優勢、生成AIはChatGPTが圧倒、配達アプリ首位は「配達の民族」…韓国デジタル利用実態（KOREA WAVE） (score=1.0, reason: 韓国のAI利用実態調査、地域限定)
[GNews: 生成AI日本 (Yahoo!ニュース)] 総裁選で小泉氏批評動画首相秘書から相談と作成者（共同通信） (score=1.0, reason: 政治ニュース、AI技術内容なし)
[HN AI] The OnlyFans Economy of American AI (score=1.0, reason: URL不完全、内容確認不可)
[HN LLM/Claude/GPT] Anthropic, please ship an official Claude Desktop for Linux (score=1.0, reason: Claude Desktop Linux対応のフィーチャーリクエスト)
[r/MachineLearning] For those using Google Colab, what features did you wish it had? [D] (score=1.0, reason: Google Colab機能についての一般的な質問スレッド)
[r/MachineLearning] Research collection of Arxiv whitepapers [R] (score=1.0, reason: arXiv論文収集の個人的プロジェクト)
[r/LocalLLaMA] llama.cpp Gemma4 MTP support merged! (score=1.0, reason: llama.cpp技術的な小さな機能追加)
[r/LocalLLaMA] Guys, it just happened (score=1.0, reason: ハードウェア故障の一般的なニュース、AI関連性薄い)
[r/LocalLLaMA] Qwen 3.6 27B on DeepSWE (score=1.0, reason: ローカルLLMの性能ベンチマーク結果、特定モデル比較)
[r/LocalLLaMA] You don't need a GPU to run gemma-4-26B-A4B (score=1.0, reason: ローカル実行の技術解説、既知の活用手法)
[r/LocalLLaMA] Qwen 3.6 27B KV cache quant benchmarks: 75 pairs, q8/q6/q5/q4, KVarN, Turbo/TCQ (score=1.0, reason: KV cache最適化ベンチマーク、技術的微調整)
[r/LocalLLaMA] GMKtec Crams OCuLink, Wi-Fi 7 and Dual PCIe 4.0 Into the EVO-X3, With a 192GB Ryzen AI MAX+ 495 Monster Following Later This Year (score=1.0, reason: ハードウェア新製品の発表だが、AI学習に直結しない)
[r/LocalLLaMA] QAT variant of Gemma4 26B A4B is not working well for me (score=1.0, reason: 個人的なトラブル報告、一般的なトレンドでない)
[r/LocalLLaMA] What’s your most unusual non-LLM AI you actually use daily? (score=1.0, reason: コミュニティ雑談、具体的な技術情報なし)
[r/LocalLLaMA] NVFP4 on llama.cpp? (score=1.0, reason: 個人的な技術サポート質問)
[r/LocalLLaMA] llama-server router: a model pinned to one GPU still grabs a CUDA context on every card, so it OOMs when my others are full. Am I missing a flag or is this just how it is? (score=1.0, reason: 個人的なソフトウェア使用問題)
[r/LocalLLaMA] MTP and QTA - what is the relation? (score=1.0, reason: 用語定義の質問、一般的な知識)
[r/LocalLLaMA] how to run gemma-4-12b-it-qat-w4a16-ct in vllm or any version quantized of the model (score=1.0, reason: 個人的なセットアップサポート質問)
[r/LocalLLaMA] Clustering 3x Jetson Nano Orin Supers (score=1.0, reason: エッジ推論クラスタリング例だが限定的)
[r/LocalLLaMA] Is Gemma 4 12b good for coding? (score=1.0, reason: モデル性能の個人的な質問)
[r/LocalLLaMA] A handy llama-server launcher with easy model and configuration customisation (score=1.0, reason: ツール開発の個人的なプロジェクト)
[r/singularity] T-800 fighters (score=1.0, reason: SFコンテンツ、AI技術トレンドでない)
[r/singularity] Minecraft Gamer(Gemini Omni Flash) (score=1.0, reason: ゲームプレイ動画、技術情報なし)
[r/singularity] I really wish in 5 years work would be less frustating but Idon' know... (score=1.0, reason: 銀行業務の愚痴、AI関連性薄い)
[r/singularity] Once robots achieve true autonomy and human-level reasoning, what is the first major societal shift we should expect? (score=1.0, reason: 仮説的な未来論、具体的なニュース・研究でない)
[r/singularity] A Response to Bernie's AI Wealth Fund Plan (score=1.0, reason: 政策論評。AI業界への直接的影響が不明確)
[r/singularity] AI Anime made with Seedance | Crazy Rari Episode 3 (score=1.0, reason: AIアニメ制作の事例。技術トレンド性が低い)