全候補一覧 - 2026-05-18

全 166 件: high=15, medium=71, low=80 内訳: {'hf_paper': 50, 'blog': 4, 'google_news': 59, 'hacker_news': 6, 'reddit': 47}

🔴 high (15件)

[HuggingFace Papers] Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling — Yafu Li, Runzhe Zhan, Haoran Zhang 👍140 (score=3.5, reason: オリンピアド級推論達成、スケーリング効果)
[HuggingFace Papers] Long Context Pre-Training with Lighthouse Attention — Bowen Peng, Subho Ghosh, Jeffrey Quesnelle 👍21 (score=3.2, reason: 長コンテキスト学習の効率化、LLM基盤技術)
[HuggingFace Papers] LiSA: Lifelong Safety Adaptation via Conservative Policy Induction — Minbeom Kim, Lesly Miculicich, Bhavana Dalvi Mishra 👍1 (score=3.0, reason: AIエージェント安全性、実用性重視)
[GNews: Anthropic/Claude (LinkedIn)] Anthropic's Claude Mythos Reportedly Circumvents Apple Mac Security Systems (score=3.0, reason: Claude Mythosのセキュリティ脆弱性、重大発見)
[GNews: Anthropic/Claude (the-decoder.com)] New benchmark shows Claude Mythos and GPT-5.5 can develop real browser exploits autonomously (score=3.0, reason: Claude MythosがOS脆弱性を自動開発、重大技術リスク)
[GNews: Anthropic/Claude (PCMag Middle East)] Researchers Claim Anthropic's Mythos Helped Crack macOS Security (score=3.0, reason: AnthropicモデルのmacOSセキュリティ突破、重要発見)
[GNews: Llama/Meta AI (Yahoo Finance)] Amazon, Meta And Microsoft's AI Data Center Push Faces Strong Revolt— Seven In 10 Americans Don't Want Hubs Near Them (score=3.0, reason: データセンター規制問題、業界への重大影響)
[GNews: 生成AI日本 (毎日新聞)] 中国発の動画生成AI、映像業界を席巻 (score=3.0, reason: 中国発動画生成AI躍進、業界変化)
[GNews: 生成AI日本 (MITテクノロジーレビュー)] 1日470本、制作費9割減 ——中国は生成AIで世界のドラマ工場になる (score=3.0, reason: 中国が生成AIで動画製作激増、産業革新)
[GNews: 生成AI日本 (ビジネス+IT)] AI半導体新興の米Cerebrasがナスダック上場、NVIDIAの牙城に挑む時価総額は約660億ドル規模へ｜Seizo Trend (score=3.0, reason: AI半導体新興企業IPO。競争構図変化)
[GNews: 生成AI日本 (ビジネス+IT)] Anthropic、中小企業向けAIエージェント「Claude for Small Business」発表 (score=3.0, reason: Anthropic 新製品発表。主要AI企業の拡大)
[GNews: 生成AI日本 (ビジネス+IT)] 米国防総省がOpenAIなどAI調達拡大、Anthropic排除もMythos利用へ調整 GenAI.milを通じて軍関係者や請負業者に提供 (score=3.0, reason: 米国防総省AI調達方針。政策的重要性)
[r/singularity] Cerebras CFO says they are currently running GPT5.4 and GPT5.5 internally on their chips, will release to the public soon. (Imagine that intelligence at that speed) (score=3.0, reason: Cerebrasの次世代AI動向。GPT5系内部運用の示唆)
[r/singularity] Uber's Anthropic AI Push Hits A Wall—CTO Says Budget Struggles Despite $3.4B Spend (score=3.0, reason: Uber×Anthropic提携の課題。主要企業の戦略的課題)
[r/singularity] Microsoft AI chief gives it 18 months—for all white-collar work to be automated by AI (score=3.0, reason: Microsoft AIの将来予測。業界への大きな影響示唆)

🟡 medium (71件)

[HuggingFace Papers] Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation — Min Zhao, Hongzhou Zhu, Kaiwen Zheng 👍84 (score=2.5, reason: リアルタイム動画生成の高速化技術)
[HuggingFace Papers] MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models — Xiyu Ren, Zhaowei Wang, Yiming Du 👍68 (score=2.5, reason: VLM長期メモリベンチマーク、重要課題)
[HuggingFace Papers] SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer — Haoyi Zhu, Haozhe Liu, Yuyang Zhao 👍67 (score=2.5, reason: 効率的ワールドモデル開発、オープンソース)
[HuggingFace Papers] Darwin Family: MRI-Trust-Weighted Evolutionary Merging for Training-Free Scaling of Language-Model Reasoning — Taebong Kim, Youngsik Hong, Minsik Kim 👍50 (score=2.5, reason: LLM推論スケーリング、訓練不要手法)
[HuggingFace Papers] MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory — Minghao Guo, Qingyue Jiao, Zeru Shi 👍55 (score=2.5, reason: マルチモーダルエージェント評価フレームワーク)
[HuggingFace Papers] Self-Distilled Agentic Reinforcement Learning — Zhengxi Lu, Zhiyuan Yao, Zhuowen Han 👍84 (score=2.5, reason: RL報酬設計の工夫、実用的なLLMエージェント改善)
[HuggingFace Papers] Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems — Shihao Qi, Jie Ma, Rui Xing 👍44 (score=2.4, reason: マルチエージェントシステムの総合的な調査研究)
[HuggingFace Papers] WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation — Shuangrui Ding, Xuanlang Dai, Long Xing 👍40 (score=2.4, reason: LLMエージェント評価ベンチマーク、実用的)
[HuggingFace Papers] STALE: Can LLM Agents Know When Their Memories Are No Longer Valid? — Hanxiang Chao, Yihan Bai, Rui Sheng 👍39 (score=2.4, reason: LLMエージェントメモリの実用課題を扱う)
[HuggingFace Papers] RouteProfile: Elucidating the Design Space of LLM Profiles for Routing — Jingjun Xu, Hongji Pu, Tao Feng 👍28 (score=2.3, reason: LLMルーティング設計の体系的分析、実用性あり)
[HuggingFace Papers] PREPING: Building Agent Memory without Tasks — Yumin Choi, Sangwoo Park, Minki Kang 👍25 (score=2.2, reason: エージェントメモリ構築の新アプローチ)
[HuggingFace Papers] Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning — Ido Sobol, Kihyuk Sohn, Yoav Blum 👍22 (score=2.2, reason: 3D生成の写実性改善、画像生成応用)
[HuggingFace Papers] EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents — Jiaqi Liu, Xinyu Ye, Peng Xia 👍21 (score=2.2, reason: LLMエージェントの自己進化メモリシステム)
[HuggingFace Papers] FrontierSmith: Synthesizing Open-Ended Coding Problems at Scale — Runyuan He, Qiuyang Mang, Shang Zhou 👍17 (score=2.2, reason: LLMコード生成ベンチ、実用的評価)
[HuggingFace Papers] ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both — Ziyu Guo, Rain Liu, Xinyan Chen 👍17 (score=2.2, reason: 視覚推論の新しいアプローチ、マルチモーダル推論に有用)
[HuggingFace Papers] DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models — Quanhao Li, Junqiu Yu, Kaixun Jiang 👍14 (score=2.1, reason: 拡散モデル最適化の理論的統一視点)
[HuggingFace Papers] Orchard: An Open-Source Agentic Modeling Framework — Baolin Peng, Wenlin Yao, Qianhui Wu 👍14 (score=2.1, reason: オープンソースエージェント化フレームワーク)
[HuggingFace Papers] PanoWorld: Towards Spatial Supersensing in 360^circ Panorama World — Changpeng Wang, Xin Lin, Junhan Liu 👍13 (score=2.1, reason: パノラマ理解MLLM、空間認識強化)
[HuggingFace Papers] Forcing-KV: Hybrid KV Cache Compression for Efficient Autoregressive Video Diffusion Models — Yicheng Ji, Zhizhou Zhong, Jun Zhang 👍8 (score=2.1, reason: ビデオ拡散モデルの効率化技術、特定用途)
[HuggingFace Papers] WildTableBench: Benchmarking Multimodal Foundation Models on Table Understanding In the Wild — Junzhe Huang, Xiaoxiao Sun, Yan Yang 👍6 (score=2.1, reason: マルチモーダル基盤モデルの表解析ベンチ)
[HuggingFace Papers] Learning to Build the Environment: Self-Evolving Reasoning RL via Verifiable Environment Synthesis — Yucheng Shi, Zhenwen Liang, Kishan Panaganti 👍5 (score=2.0, reason: LLM自己改善の理論的進展、環境合成による学習)
[HuggingFace Papers] Aligning Latent Geometry for Spherical Flow Matching in Image Generation — Tuna Han Salih Meral, Kaan Oktay, Hidir Yesiltepe 👍4 (score=2.0, reason: 画像生成の流マッチング改良、理論的進展)
[HuggingFace Papers] Adaptive Teacher Exposure for Self-Distillation in LLM Reasoning — Zihao Han, Tiangang Zhang, Huaibin Wang 👍4 (score=2.0, reason: LLM推論自己蒸留、教師露出最適化)
[HuggingFace Papers] FutureSim: Replaying World Events to Evaluate Adaptive Agents — Shashwat Goel, Nikhil Chandak, Arvindh Arun 👍4 (score=2.0, reason: 動的環境でのエージェント適応能力評価フレームワーク)
[HuggingFace Papers] Boosting Omni-Modal Language Models: Staged Post-Training with Visually Debiased Evaluation — Che Liu, Lichao Ma, Xiangyu Tony Zhang 👍3 (score=2.0, reason: マルチモーダルLLM改善、評価方法の工夫)
[HuggingFace Papers] RewardHarness: Self-Evolving Agentic Post-Training — Yuxuan Zhang, Penghui Du, Bo Li 👍3 (score=2.0, reason: 画像編集報酬学習、自進化ポスト訓練)
[HuggingFace Papers] Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning — Hanbo Cheng, Limin Lin, Ruo Zhang 👍2 (score=2.0, reason: テキスト画像生成の複雑性向上、検証推論)
[HuggingFace Papers] Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance — Kai Yan, Alexander G. Schwing, Yu-Xiong Wang 👍1 (score=2.0, reason: LLM推論改善テクニック、検証可能報酬)
[HuggingFace Papers] BEAM: Binary Expert Activation Masking for Dynamic Routing in MoE — Juntong Wu, Jialiang Cheng, Qishen Yin 👍1 (score=2.0, reason: MoE効率化、LLMスケーリング改良)
[HuggingFace Papers] Nexus : An Agentic Framework for Time Series Forecasting — Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar 👍1 (score=2.0, reason: 時系列予測にエージェント推論を統合する興味深い手法)
[HuggingFace Papers] SPIN: Structural LLM Planning via Iterative Navigation for Industrial Tasks — Yusuke Ozaki, Dhaval Patel 👍1 (score=2.0, reason: 産業タスク向けLLMプランニング、実装的価値あり)
[HuggingFace Papers] Overcoming Dynamics-Blindness: Training-Free Pace-and-Path Correction for VLA Models — Yanyan Zhang, Chaoda Song, Vikash Singh (score=2.0, reason: VLAモデル改善、動力学補正)
[TechCrunch AI] Apple’s Siri revamp could include auto-deleting chats (score=2.0, reason: Siri刷新による主要企業の重要製品更新)
[GNews: Anthropic/Claude (Quantum Zeitgeist)] PwC Trains 30,000 Professionals On Anthropic’s Claude (score=2.0, reason: 大規模企業によるClaude採用、ビジネス利用拡大)
[GNews: AI partnership (simplywall.st)] Fanuc (TSE:6954) Is Up 9.5% After Embedding Google AI In Robots And Buying Back Shares - Has The Bull Case Changed? (score=2.0, reason: Google AI の実用化、ロボット業界への適用)
[GNews: AI funding (Forbes)] Forbes 2026 AI 50 List | Top Artificial Intelligence Companies (score=2.0, reason: AI企業の業界ランキング、トレンド把握有用)
[GNews: AI funding (Digital Journal)] AI companies account for over a quarter of 2026’s 98 newly minted unicorn start-ups (score=2.0, reason: AI ユニコーン企業の増加、業界成長トレンド)
[GNews: AI funding (City AM)] Barclays names Fractile and Isomorphic Labs among UK’s top AI startups (score=2.0, reason: UK AI スタートアップの注目企業特定)
[GNews: Llama/Meta AI (Let's Data Science)] Meta launches Incognito Chat for private AI conversations (score=2.0, reason: Meta の新 AI 機能リリース、プライバシー機能)
[GNews: Llama/Meta AI (PPC Land)] Meta's WhatsApp Incognito Chat puts AI conversations in a black box (score=2.0, reason: Meta AI のプライバシー機能、WhatsApp統合)
[GNews: Llama/Meta AI (gHacks)] Meta Launches Incognito Chat With Meta AI for Private Conversations on WhatsApp and Meta AI App (score=2.0, reason: Meta の新 AI フィーチャー発表、プライバシー重視)
[GNews: Llama/Meta AI (eciks.org)] Employee layoffs at Meta set for May 20, totaling 8,000 staff (score=2.0, reason: Meta大規模リストラ発表、AI活用推進との関連)
[GNews: Llama/Meta AI (vocal.media)] Steven Soderbergh Uses Meta AI for 10 Percent of Lennon Documentary Sparking Debate on AI in Film (score=2.0, reason: 大型映画でのAI活用、話題性あり)
[GNews: 生成AI日本 (日本経済新聞)] 宣材動画の制作10分でソフトバンク、生成AIで作成代行 (score=2.0, reason: 大企業の生成AI実用化事例)
[GNews: 生成AI日本 (Yahoo!ニュース)] 生成AI活用、大企業の約6割が組織で推進！将来的に人員見直し検討も【東京商工リサーチ調べ】（Web担当者Forum） (score=2.0, reason: 企業AI導入動向調査、業界トレンド)
[GNews: 生成AI日本 (ITmedia)] 企業の生成AI活用、大企業は46.5％に一方で半数が情報の正確性に懸念帝国データバンク調査 (score=2.0, reason: 企業AI採用率調査、導入課題把握)
[GNews: 生成AI日本 (JBpress)] 2人で始めた試作ボットが全社的「生成AIプロジェクト」、荏原製作所が「AI内製」「マルチクラウド」を選んだ理由 (score=2.0, reason: 製造業AI内製化事例、実装参考)
[GNews: 生成AI日本 (デジタルクロス)] NGK、化合物の結晶探索ソフト開発に生成AIを使い大規模計算コードを作成 (score=2.0, reason: 素材産業でのAI活用、新分野適用)
[GNews: 生成AI日本 (Yahoo!ニュース)] 企業の生成AI活用、大企業は46.5％に一方で半数が情報の正確性に懸念帝国データバンク調査（ITmedia NEWS） (score=2.0, reason: 企業AI導入率調査、正確性懸念指摘)
[GNews: 生成AI日本 (PR TIMES)] 既存システムとつなげて業務を自動化——「ナレコム AI Agent Studio」に「API連携」機能を追加 (score=2.0, reason: AI Agent製品機能追加、業務自動化)
[GNews: 生成AI日本 (ビジネス+IT)] 凄すぎ…「Gemma 4×Claude Code活用術」、API料金ゼロでAIエージェント制作の全手順 (score=2.0, reason: Claude活用技法解説、実装指南)
[GNews: 生成AI日本 (ICT教育ニュース)] ホリエモンAI学校、弁護士によるブラインド採点で主要生成AIのリーガルレビュー性能を検証 (score=2.0, reason: 生成AI性能の法的検証。実用的評価)
[GNews: 生成AI日本 (Stereo Sound)] 業界初、生成AI技術を活用してテレビの大画面でAIキャラクターとの会話が楽しめる「AQUOS AI」サービスをシャープが提供開始 (score=2.0, reason: シャープの新AI製品発表。消費者向け)
[GNews: 生成AI日本 (ビジネス+IT)] AI「ミトス」で増す攻撃力…サイバー防衛、米国はなぜ「全部守るのは無理」と認めたか (score=2.0, reason: AI時代のサイバーセキュリティ課題)
[GNews: 生成AI日本 (JBpress)] なぜエヌビディアは生成AI時代の覇者であり続けるのか？営業利益率60％をたたき出すクーダと垂直統合の戦略的優位 (score=2.0, reason: NVIDIA の戦略分析。既知情報の解説)
[GNews: 生成AI日本 (innovaTopia)] 2026年版生成AI検索（AI Overviews）最適化：Google公式指針の深掘りと次世代戦略レポート (score=2.0, reason: Google AI検索最適化指針。SEO重要)
[HN AI] An AI Hate Wave Is Here (score=2.0, reason: AI規制・世論動向。社会的影響)
[HN AI] Mistral's CEO: Europe has 2 years to stop becoming America's AI 'vassal state' (score=2.0, reason: Mistral CEO発言。欧州AI政策)
[HN AI] AI subscriptions are a ticking time bomb for enterprise (score=2.0, reason: AI購読ビジネスモデルのリスク指摘)
[r/MachineLearning] Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention [P] (score=2.0, reason: LLMアーキテクチャの最新技術動向)
[r/MachineLearning] #1 on memory benchmark LongMemEval with Gemini Flash, not Pro [R] (score=2.0, reason: Gemini Flashのベンチマーク評価)
[r/LocalLLaMA] 85 GPU-hours comparing 5 abliteration methods on Qwen3.6-27B: benchmarks, safety, weight forensics - Abliterlitics (score=2.0, reason: モデル改変手法の実験的研究と比較)
[r/LocalLLaMA] Benchmarking vLLM vs SGLang vs llama.cpp on a mixed Blackwell/Ada cluster (score=2.0, reason: 推論エンジン比較ベンチマーク)
[r/LocalLLaMA] Grafting vision onto text models for fun and profit. (score=2.0, reason: マルチモーダル対応の技術的アプローチ。ローカルLLM拡張)
[r/LocalLLaMA] MiroThinker-1.7, an open-weight deep research agent (Qwen3 MoE base) — mini is 30B/3B active, curious what tok/s people get on consumer hardware (score=2.0, reason: 新しいMoEベースの研究エージェント公開。オープンウェイト)
[r/LocalLLaMA] Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention (score=2.0, reason: LLMアーキテクチャの最新動向まとめ。技術的進展)
[r/LocalLLaMA] LLM's on Android (Snapdragon 8 Elite) MOE Experience (score=2.0, reason: エッジAI（モバイル）の実装レポート。デバイス最適化の事例)
[r/singularity] Figure AI running a human vs machine contest [live] (score=2.0, reason: Figure AIの実演動画。ロボティクスAIの進展デモ)
[r/singularity] What happened to the issue of companies running out of training data for LLMs? (score=2.0, reason: 訓練データ枯渇問題の現状確認。業界課題の進展)
[r/singularity] "Malta just became the first country to offer ChatGPT Plus to every citizen - free for a year. The only requirement: complete an AI literacy course first. The course was built by the University of Malta, not by OpenAI. So it's not a vendor training citizens to use vendor" (score=2.0, reason: 政府によるAI教育導入。規制・普及トレンド)
[r/singularity] Florida Law Enacts Data Center Restrictions to Shield Residents from Water, Energy Costs (score=2.0, reason: データセンター規制。AI推進に影響する政策動き)

⚪ low (80件)

[HuggingFace Papers] Warp-as-History: Generalizable Camera-Controlled Video Generation from One Training Video — Yifan Wang, Tong He 👍37 (score=1.4, reason: カメラ制御動画生成、特定タスク)
[HuggingFace Papers] VGGT-Edit: Feed-forward Native 3D Scene Editing with Residual Field Prediction — Kaixin Zhu, Yiwen Tang, Yifan Yang 👍23 (score=1.2, reason: 3Dシーン編集技術、特定分野)
[HuggingFace Papers] Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding — Valeriy Vyaltsev, Alsu Sagirova, Anton Andreychuk 👍17 (score=1.2, reason: マルチエージェント経路計画、AI応用限定)
[HuggingFace Papers] IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation — Shijie Lian, Bin Yu, Xiaopeng Lin 👍14 (score=1.1, reason: ロボット操作特化、汎用性が限定的)
[HuggingFace Papers] ViMU: Benchmarking Video Metaphorical Understanding — Qi Li, Xinchao Wang 👍11 (score=1.1, reason: ビデオ理解ベンチ、評価基準のみ)
[HuggingFace Papers] CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves — Amirreza Mohseni, Mona Mohammadi, Morteza Saghafian 👍6 (score=1.1, reason: 位相推論ベンチ、特定タスク限定)
[HuggingFace Papers] Does Synthetic Layered Design Data Benefit Layered Design Decomposition? — Kam Man Wu, Haolin Yang, Qingyu Chen 👍6 (score=1.1, reason: 画像生成の特定課題、応用限定的)
[HuggingFace Papers] PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution — Zihang Xu, Xiaoyang Liu, Zheng Chen 👍5 (score=1.1, reason: テキスト画像超解像、特定タスク限定)
[HuggingFace Papers] PhyMotion: Structured 3D Motion Reward for Physics-Grounded Human Video Generation — Yidong Huang, Zun Wang, Han Lin 👍5 (score=1.1, reason: 動画生成の特定領域研究、汎用性に欠ける)
[HuggingFace Papers] Sat3DGen: Comprehensive Street-Level 3D Scene Generation from Single Satellite Image — Ming Qian, Zimin Xia, Changkun Liu 👍4 (score=1.0, reason: 衛星画像3D生成、特定タスク限定)
[HuggingFace Papers] Dynamic Latent Routing — Fangyuan Yu, Xin Su, Amir Abdullah 👍3 (score=1.0, reason: RL理論、AI汎用性が限定的)
[HuggingFace Papers] Topology-Preserving Neural Operator Learning via Hodge Decomposition — Dongzhe Zheng, Tao Zhong, Christine Allen-Blanchette 👍3 (score=1.0, reason: 神経演算子の数学理論、応用性不明確)
[HuggingFace Papers] LLM-based Detection of Manipulative Political Narratives — Sinclair Schneider, Florian Steuber, Gabi Dreo Rodosek 👍2 (score=1.0, reason: 政治分析の自然言語処理、AI活用は周辺的)
[HuggingFace Papers] PreScam: A Benchmark for Predicting Scam Progression from Early Conversations — Weixiang Sun, Shang Ma, Yiyang Li 👍1 (score=1.0, reason: 詐欺検出、AI応用が限定的)
[HuggingFace Papers] Quantitative Video World Model Evaluation for Geometric-Consistency — Jiaxin Wu, Yihao Pi, Yinling Zhang 👍1 (score=1.0, reason: 動画モデル評価の特定ドメイン研究、応用限定的)
[TechCrunch AI] Why trust is a big question at the Elon Musk-OpenAI trial (score=1.0, reason: OpenAI訴訟の報道、技術的内容なし)
[TechCrunch AI] If you’re giving a commencement speech in 2026, maybe don’t mention AI (score=1.0, reason: AI論評記事、業界ニュース性薄い)
[TechCrunch AI] TechCrunch Mobility: The AI skills arms race is coming for automotive (score=1.0, reason: 自動車AIトレンド、業界ニュースのみ)
[GNews: Anthropic/Claude (Benzinga)] Chamath Palihapitiya Warns Anthropic Risks Becoming 'Friendster Of The AI Era' After Claude Refuses Stock (score=1.0, reason: 投資家の意見記事、事実ニュースでない)
[GNews: Anthropic/Claude (Let's Data Science)] Claude posts 68.4% success rate on Polymarket (score=1.0, reason: Claudeの性能評価、宣伝的内容)
[GNews: AI partnership (The Motley Fool)] AI Supercharged This Flatlining U.S. Manufacturing Stock. Now It's Just Scored a Massive New Nvidia Partnership. (score=1.0, reason: 個別企業の投資分析記事、業界影響限定的)
[GNews: AI partnership (simplywall.st)] Assessing Corning (GLW) Valuation After NVIDIA AI Partnership And 2026 Growth Guidance (score=1.0, reason: 個別企業の投資分析、AI パートナーシップの詳細欠落)
[GNews: AI partnership (Yahoo Finance)] A Look At Digital Turbine (APPS) Valuation After The Databricks AI Partnership Announcement (score=1.0, reason: 個別企業の投資分析記事、AI 関連性薄い)
[GNews: AI partnership (simplywall.st)] Can Neo Performance Materials (TSX:NEO) Turn its New AI Partnership into a Lasting Moat? (score=1.0, reason: 個別企業の投資分析、AI の具体的内容不明)
[GNews: AI partnership (Yahoo Finance)] OneStream (OS) Valuation Check After Expanded Microsoft AI Partnership News (score=1.0, reason: 個別企業の投資分析記事)
[GNews: AI partnership (simplywall.st)] Autodesk Expands AI Security With Permiso Partnership As Shares Trade Below Target (score=1.0, reason: 個別企業の投資分析、AI セキュリティの詳細欠落)
[GNews: AI partnership (simplywall.st)] Assessing Workday (WDAY) Valuation After Earnings Strength And New AI Partnership Momentum (score=1.0, reason: 個別企業の投資分析記事)
[GNews: AI partnership (Yahoo Finance)] Why Coherent (COHR) Is Up 14.1% After Strong Q3 Results And Expanded NVIDIA AI Partnership (score=1.0, reason: 個別企業の投資分析記事)
[GNews: AI partnership (KoreaTechDesk)] Korean AI Meeting Tool Knoi Targets Workflow Lock-In as It Aims for the US Market (score=1.0, reason: 新興企業の市場進出、規模小さい)
[GNews: AI partnership (AD HOC NEWS)] Honeywell International stock (US4385161066): new AI partnership and earnings keep investors watchin (score=1.0, reason: 個別企業の投資分析、AI の詳細不明)
[GNews: AI funding (AlleyWatch)] The Weekly Notable Startup Funding Report: 5/18/26 (score=1.0, reason: スタートアップ資金調達の定期レポート)
[GNews: AI funding (YourStory.com)] Building a menstrual wellness solution; Rapido lifts weekly startup funding (score=1.0, reason: AI と無関係な医療スタートアップ)
[GNews: Llama/Meta AI (Memeburn)] WhatsApp Incognito Chat With Meta AI: How It Works and Is It Really Private? (score=1.0, reason: WhatsApp機能紹介、AI関連性薄い)
[GNews: Llama/Meta AI (The Times of India)] As Meta gets billions in tax breaks for Louisiana data centre, report claims code names used to hide proj (score=1.0, reason: 税制ニュース、AI関連性薄い)
[GNews: Llama/Meta AI (Let's Data Science)] Soderbergh Uses AI in John Lennon Documentary (score=1.0, reason: 映画製作事例、AI応用例だが業界外)
[GNews: Llama/Meta AI (India Today)] Meta employees feel anxious and insecure ahead of AI-fueled layoffs next week (score=1.0, reason: リストラ影響記事、政策ニュース)
[GNews: 生成AI日本 (Yahoo!ニュース)] ユーザーが選ぶ「生成AI機能の評価が高いITツール」ランキング2026ベスト20！3位Notion、1位は？【Best Software in Japan先行公開】（ダイヤモンド・オンライン） (score=1.0, reason: ツール評価ランキング、ニュース性低)
[GNews: 生成AI日本 (デイリー新潮)] “AI堕ち”とボコボコに叩かれたイラストレーター「七瀬葵」…それでも「コミケから生成AIの創作物を排除しちゃダメ」と語る理由 (score=1.0, reason: 創作活動の社会議論、ニュース性低)
[GNews: 生成AI日本 (ダイヤモンド・オンライン)] ユーザーが選ぶ「生成AI機能の評価が高いITツール」ランキング2026ベスト20！3位Notion、1位は？【Best Software in Japan先行公開】 | News&Analysis (score=1.0, reason: ツール評価ランキング、ニュース性低)
[GNews: 生成AI日本 (mbp-japan.com)] AIによる企業のDX推進～生成AIとデザイン思考の融合による持続可能な成長戦略～｜吾郷潤 (score=1.0, reason: DX戦略コラム、一般的見解)
[GNews: 生成AI日本 (東洋経済オンライン)] 教員の生成AI利用が急激に増加､｢下請け｣か｢話し相手｣か…で差が出る活用のコツ《"デジタルな副担任"の育て方》 (score=1.0, reason: 教育現場の活用事例紹介。具体性に欠ける)
[GNews: 生成AI日本 (PR TIMES)] 「現場のあたりまえを変える」業種特化型ERP。生成AI×RPAで建設・製造・福祉のアナログ業務を一掃 (score=1.0, reason: 業種特化型ERP。一般企業サービス)
[GNews: 生成AI日本 (note)] 【2nmの支配者】日立ハイテック、生成AIが生んだ「歩留まりの守護神」。時価総額ならぬ「日立の頭脳」としての真価 (score=1.0, reason: 日立技術への推測記事。具体性不足)
[GNews: 生成AI日本 (ニコニコニュース)] 株式会社アイディーエス、AWS Summit Japan 2026に出展自然言語×生成AIによる業務改革支援を紹介 (score=1.0, reason: 展示会出展告知。限定的ニュース)
[GNews: 生成AI日本 (Yahoo!ニュース)] SNSで流行中の「野球観戦AI」って？ ChatGPTで試せるプロンプト例＆作り方（ELLEgirl） (score=1.0, reason: エンタメ的プロンプト。トレンド性薄い)
[HN AI] The AI water issue is fake (score=1.0, reason: AI環境問題のファクトチェック。周辺話題)
[HN AI] AI is a technology not a product (score=1.0, reason: AI哲学的考察。業界への影響薄い)
[HN AI] I don't think AI will make your processes go faster (score=1.0, reason: AI導入効果への懐疑。個人的意見)
[r/MachineLearning] Slop is making me feel disconnected from AI Research [D] (score=1.0, reason: 研究者の不満。メタ的議論)
[r/MachineLearning] Program misleading high school students into paying to perform academic misconduct in ML Research [D] (score=1.0, reason: 倫理問題の告発だが、AI技術トレンドではない)
[r/MachineLearning] How are you handling training data when public datasets don't match your use case? [D] (score=1.0, reason: 実装の一般的な相談、トレンド情報ではない)
[r/MachineLearning] ML lead vs PM on eval-methodology layer independence. who's actually right here? [D] (score=1.0, reason: 社内プロセスの相談、業界トレンドではない)
[r/LocalLLaMA] M5 vs DGX Spark vs Strix Halo vs RTX 6000 (score=1.0, reason: ハードウェア仕様比較、AI研究ではない)
[r/LocalLLaMA] I hope that someday we will have a 124B Gemma. (score=1.0, reason: 希望的観測、ニュースではない)
[r/LocalLLaMA] "Generate a photorealistic realtime render of a human face with webGL" (Qwen3.5-122B-A10B UD-Q3_K_XL) (score=1.0, reason: デモ事例、重大な技術進展ではない)
[r/LocalLLaMA] llama: avoid copying logits during prompt decode in MTP by am17an · Pull Request #23198 · ggml-org/llama.cpp (score=1.0, reason: llama.cpp最適化パッチ、小改良)
[r/LocalLLaMA] The power of structured workflows and small local models (score=1.0, reason: 個人の実装経験、一般的ベストプラクティス)
[r/LocalLLaMA] Apple silicon costs more than OpenRouter: an analysis (score=1.0, reason: コスト分析、トレンド情報ではない)
[r/LocalLLaMA] Dual GPU llama.cpp speedup (score=1.0, reason: llama.cpp技術的問題報告)
[r/LocalLLaMA] Testing llama.cpp MTP support on Qwen3.6 - RTX 5090 (score=1.0, reason: 個人のベンチマーク実験)
[r/LocalLLaMA] ROCm 7.13 nightly adds strix halo optimizations (score=1.0, reason: ROCm最適化更新、マイナー改善)
[r/LocalLLaMA] Pushing the limit: minimax m2.7 q8_0 128k on 2x3090, 256GB DDR4 (score=1.0, reason: 個人の実験報告)
[r/LocalLLaMA] MTP experiences on 7900xtx? (score=1.0, reason: 個人の利用体験)
[r/LocalLLaMA] Moving from Composer 2/Kimi 2.6 to Qwen3.6:35b-a3b (score=1.0, reason: 個人の開発体験記)
[r/LocalLLaMA] Follow-up: adding Ollama support to my open-source cursor-aware AI app - looking for beta testers with vision-capable local models (score=1.0, reason: オープンソースアプリの機能追加告知)
[r/LocalLLaMA] Developers who use local AI - Q4_0 vs Q8_0 KV quant? (score=1.0, reason: ローカルLLM利用者の技術的質問。特定の量子化手法比較)
[r/LocalLLaMA] MTP for Qwen3.6-35B-A3B on 6GB VRAM laptop: not worth it (score=1.0, reason: 個人的な動作確認レポート。限定的な使用事例)
[r/LocalLLaMA] Jackrong/Qwopus3.5-9B-Coder-GGUF · Hugging Face (score=1.0, reason: 特定モデルのGGUF版リリース。既存モデルの最適化版)
[r/LocalLLaMA] I can't get Qwen3.6 27B to outperform Qwen-Coder-Next and I'm not sure why (score=1.0, reason: 特定モデルの実運用比較。個別ユースケース)
[r/LocalLLaMA] Any good MOE ~60B models? I have 64GB vram (score=1.0, reason: ハードウェア要件の質問。汎用的情報価値が低い)
[r/singularity] Discord Server Link (score=1.0, reason: Discordサーバーリンク。情報価値なし)
[r/singularity] Rant: Stop saying LLMs are just “next token predictors.” (score=1.0, reason: LLM批判への反論。概念的な議論)
[r/singularity] Ai was supposed to break the barrier on accessibility. Now it’s only going to widen. 1000$ definitely on the horizon. (score=1.0, reason: AI価格アクセス性の意見。主観的なコメント)
[r/singularity] I think Gemini 3.2 Flash has been added to Antigravity. (score=1.0, reason: モデル利用可能性の情報。プロダクト更新の小ニュース)
[r/singularity] What is, in your mind, the singularity? (score=1.0, reason: シンギュラリティ定義の哲学的議論。実質的な進展なし)
[r/singularity] Former CEO Of Google Receives Massive Backlash For Praising AI At Graduation (score=1.0, reason: 有名人の発言報道。AI業界への直接的影響薄い)
[r/singularity] Investments for the Singularity (score=1.0, reason: 個人的な投資相談。AIトレンドとは無関係)
[r/singularity] Post-Singularity Warfare (score=1.0, reason: 仮説的な議論。実務的・研究的価値なし)
[r/singularity] Is there a word for a middle ground between anti-ai and pro-ai? (score=1.0, reason: 個人の意見表明。業界ニュースではない)
[r/singularity] I quitted a job paying me 240k post-tax as a fresh grad to do Full-time independent research in AGI (score=1.0, reason: 個人のキャリア決定。業界トレンドではない)