全候補一覧 - 2026-05-25

全 175 件: high=21, medium=60, low=94 内訳: {'hf_paper': 50, 'blog': 3, 'google_news': 71, 'hacker_news': 5, 'reddit': 46}

🔴 high (21件)

[HuggingFace Papers] Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps — Yanke Zhou, Yiduo Li, Hanlin Tang 👍85 (score=3.5, reason: LLMの長文脈推論効率化、実用的改善)
[HuggingFace Papers] DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards — Kaiyi Zhang, Wei Wu, Yankai Lin 👍192 (score=3.5, reason: LLM推論の強化学習改善、理論的進展)
[HuggingFace Papers] FlowLong: Inference-time Long Video Generation via Manifold-constrained Tweedie Matching — Jangho Park, Geon Yeong Park, Gihyun Kwon 👍24 (score=3.2, reason: 動画生成の長文脈化、技術ブレークスルー)
[HuggingFace Papers] Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles — Jinyang Wu, Guocheng Zhai, Ruihan Jin 👍18 (score=3.2, reason: LLMエージェント階層最適化、実用性高い)
[HuggingFace Papers] KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving — Zedong Liu, Xinyang Ma, Dejun Luo 👍10 (score=3.1, reason: LLM推論システム最適化、実運用改善)
[HuggingFace Papers] Same Architecture, Different Capacity: Optimizer-Induced Spectral Scaling Laws — Nandan Kumar Jha, Brandon Reagen 👍2 (score=3.0, reason: スケーリング則の新知見、理論的進展)
[HuggingFace Papers] From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning — Xitai Jiang, Zihan Tang, Wenze Lin 👍2 (score=3.0, reason: LLM推論の学習方法改善、理論的ブレークスルー)
[GNews: Anthropic/Claude (CyberSecurityNews)] Anthropic's Claude Mythos Preview Uncovers 10,000+ 0-Days in Project Glasswing (score=3.0, reason: Claude が 10,000+ ゼロデイ脆弱性発見。大きな話題。)
[GNews: Anthropic/Claude (LinkedIn)] Anthropic’s Claude Mythos AI Uncovers More Than 10,000 Critical Software Vulnerabilities (score=3.0, reason: Claude の重大なセキュリティ実績。業界影響大。)
[GNews: Anthropic/Claude (Pulse 2.0)] Anthropic: Nearly $45 Billion Computing Deal With SpaceX To Power Claude AI (score=3.0, reason: Anthropic-SpaceX 約45億ドル計算契約。大型提携。)
[GNews: Anthropic/Claude (Tech Times)] Anthropic and Microsoft Negotiate Maia 200 Chip Deal: Claude Could Become Custom Silicon's First Frontier Test (score=3.0, reason: Anthropic-Microsoft カスタムチップ交渉。戦略的パートナーシップ。)
[GNews: Anthropic/Claude (quasa.io)] Anthropic's Project Glasswing Update: Mythos AI Uncovers Over 10,000 Critical Vulnerabilities in One Month, Highlighting Urgent Cybersecurity Risks (score=3.0, reason: Anthropicセキュリティ研究成果)
[GNews: Anthropic/Claude (The Indian Express)] Anthropic says Claude Mythos found over 10,000 major software vulnerabilities in a month (score=3.0, reason: Claude脆弱性発見の重要成果)
[GNews: AI partnership (EdTech Innovation Hub)] OpenAI launches S$300m Singapore AI partnership | ETIH EdTech News (score=3.0, reason: OpenAI大型シンガポール投資)
[GNews: Llama/Meta AI (The Australian)] Meta cuts 8000 jobs as Zuckerberg pivots company to AI focus (score=3.0, reason: 大規模レイオフ、AI戦略転換の重要発表)
[GNews: 生成AI日本 (GIGAZINE)] AppleがWWDCに先立ち「Gen AI」(生成AI)用のサブドメインを準備していることが明らかに (score=3.0, reason: Apple生成AI戦略の重要発表前兆。WWDC予定)
[GNews: 生成AI日本 (DXマガジン)] 東京都、6万人規模で生成AI本格導入職員が自作AIアプリを開発する時代へ (score=3.0, reason: 自治体6万人規模の大型AI導入。政策転換)
[GNews: 生成AI日本 (日経クロステック)] Googleや中国企業、「プロテインAI」に照準狙うは医薬品の70兆円市場 (score=3.0, reason: タンパク質AI競争。70兆円市場狙い)
[GNews: 生成AI日本 (@DIME アットダイム)] Googleが最新生成AI「Gemini 3.5」ファミリーを発表、第1弾としてGemini 3.5 Flashの提供を開始 (score=3.0, reason: Google Gemini 3.5発表。主要企業新モデル)
[HN AI] DeepSeek to Make Permanent 75% Discount on Flagship AI Model (score=3.0, reason: DeepSeekの大幅値下げ、市場競争激化)
[r/singularity] Google DeepMind's Al agent autonomously solved 9 of 353 open Erdos problems in mathematics, at a cost of a few hundred dollars per problem. (score=3.0, reason: DeepMindの数学問題自動解法は大技術ブレークスルー)

🟡 medium (60件)

[HuggingFace Papers] π-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows — Haoran Zhang, Luxin Xu, Zhilin Wang 👍91 (score=2.5, reason: エージェント評価ベンチマークの提案。実用性あり。)
[HuggingFace Papers] ACC: Compiling Agent Trajectories for Long-Context Training — Qisheng Su, Zhen Fang, Shiting Huang 👍56 (score=2.5, reason: 長文脈学習のエージェント軌跡活用。重要な課題。)
[HuggingFace Papers] PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects — Ziang Cao, Yinghao Liu, Haitian Li 👍46 (score=2.5, reason: 3D生成の実用性向上、複数形式対応)
[HuggingFace Papers] LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning — Yifan Dai, Zhenhua Wu, Bohan Zeng 👍40 (score=2.4, reason: マルチモーダル推論の改善)
[HuggingFace Papers] SEGA: Spectral-Energy Guided Attention for Resolution Extrapolation in Diffusion Transformers — Javad Rajabi, Kimia Shaban, Koorosh Roohi 👍36 (score=2.4, reason: 拡散トランスフォーマーの解像度外挿。T2I生成の実用改善)
[HuggingFace Papers] Forecasting Scientific Progress with Artificial Intelligence — Sean Wu, Pan Lu, Yupeng Chen 👍34 (score=2.3, reason: AIの科学発見支援の定量的評価。理論的価値あり)
[HuggingFace Papers] WorldKV: Efficient World Memory with World Retrieval and Compression — Jung Yi, Minjae Kim, Paul Hyunbin Cho 👍33 (score=2.3, reason: ビデオ拡散モデルの効率化技術。特定ドメイン。)
[HuggingFace Papers] Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning — Banghao Chi, Yining Xie, Mingyuan Wu 👍33 (score=2.3, reason: スプレッドシート処理エージェント強化学習。実用性高。)
[HuggingFace Papers] Unsupervised Process Reward Models — Artyom Gadetsky, Maxim Kodryan, Siba Smarak Panigrahi 👍24 (score=2.2, reason: 教師なし報酬モデル。LLM推論制御の新手法)
[HuggingFace Papers] Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving — Jiahao Wang, Bo Sun, Yijing Bai 👍24 (score=2.2, reason: 自動運転データ変換、実用技術)
[HuggingFace Papers] Q-ARVD: Quantizing Autoregressive Video Diffusion Models — Siao Tang, Xinyin Ma, Gongfan Fang 👍19 (score=2.2, reason: 動画生成モデルの量子化、実装技術)
[HuggingFace Papers] Training Large Language Models to Predict Clinical Events — Benjamin Turtel, Paul Wilczewski, Kris Skotheim 👍14 (score=2.1, reason: 臨床NLP応用、医療ドメイン)
[HuggingFace Papers] Forecasting Downstream Performance of LLMs With Proxy Metrics — Arkil Patel, Siva Reddy, Marius Mosbach 👍10 (score=2.1, reason: LLM性能予測。モデル開発効率化に有用)
[HuggingFace Papers] GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation — Sixiang Chen, Zhaohu Xing, Tian Ye 👍10 (score=2.1, reason: 画像生成の自動最適化、実用性あり)
[HuggingFace Papers] ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoning — Juncheng Wu, Letian Zhang, Yuhan Wang 👍9 (score=2.1, reason: 医療AIエージェント、実用応用)
[HuggingFace Papers] Efficient Agentic Reasoning Through Self-Regulated Simulative Planning — Mingkai Deng, Jinyu Hou, Lara Sá Neves 👍7 (score=2.1, reason: エージェント推論の最適化。LLMエージェント進展)
[HuggingFace Papers] Bernini: Latent Semantic Planning for Video Diffusion — Bernini Team, Chenchen Liu, Junyi Chen 👍7 (score=2.1, reason: ビデオ生成の意味的計画手法。応用研究。)
[HuggingFace Papers] LoREnc: Low-Rank Encryption for Securing Foundation Models and LoRA Adapters — Beomjin Ahn, Jungmin Kwon, Chanyong Jung 👍6 (score=2.1, reason: Foundation modelの知的財産保護技術。実用性あるが限定的)
[HuggingFace Papers] TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks — Zhaoyang Chu, Jiarui Hu, Xingyu Jiang 👍5 (score=2.0, reason: ターミナルタスク評価ベンチマーク。実用的。)
[HuggingFace Papers] Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry — Pablo Marcos-Manchón, Rishi Jha, Lluís Fuentemilla 👍2 (score=2.0, reason: ニューラルネットワーク理論。基礎研究として興味深い)
[GNews: Anthropic/Claude (VIR)] KPMG and Anthropic to redefine client services with artificial intelligence tie-up - Vietnam Investment Review (score=2.0, reason: KPMG-Anthropic 提携。エンタープライズ展開。)
[GNews: Anthropic/Claude (PYMNTS.com)] Zoom’s $51 Million Anthropic Investment Now Worth $1 Billion (score=2.0, reason: Zoom 投資の評価上昇。ビジネスニュース。)
[GNews: Anthropic/Claude (Tech Times)] Anthropic Moves Closer to Public Claude Mythos Release: 10,000 Critical Bugs Found First (score=2.0, reason: Claude新版開発進行中の情報)
[GNews: Anthropic/Claude (TestingCatalog AI News)] Anthropic plans Claude memory update with new Memory Files (score=2.0, reason: Claudeメモリ機能アップデート)
[GNews: Anthropic/Claude (Startup Fortune)] Anthropic is moving Mythos 1 closer to Claude Code (score=2.0, reason: Claude新機能展開情報)
[GNews: Anthropic/Claude (Tech Times)] Naver and Kakao Deploy ChatGPT and Claude Code Together: Inside South Korea's Dual-Stack Enterprise AI Shift (score=2.0, reason: 大手企業のAI導入事例)
[GNews: Anthropic/Claude (India Today)] Mythos allegedly surfaces on Claude Code day after Anthropic denies public release plans (score=2.0, reason: Claude新版リリース噂)
[GNews: AI partnership (The Brighter Side of News)] AI will not displace jobs, it will radically transform them, research finds (score=2.0, reason: AI雇用影響の研究)
[GNews: AI partnership (디지털투데이)] Toss holds AI collaboration session with OpenAI, runs hands-on mini hackathon (score=2.0, reason: OpenAI企業連携イベント)
[GNews: AI funding (디지털투데이)] Ocean AI email security startup raises $28 million after stealth mode (score=2.0, reason: AI セキュリティ企業資金調達)
[GNews: Llama/Meta AI (WSJ)] Meet Mark Zuckerberg’s Right-Hand Man Who’s Unleashing AI at Meta (score=2.0, reason: Meta幹部のAI戦略記事、経営層情報)
[GNews: Llama/Meta AI (Startup Fortune)] Meta’s AI reset now has Zuckerberg admitting the risk is real. (score=2.0, reason: Meta AI投資戦略転換、経営判断)
[GNews: Llama/Meta AI (The Jerusalem Post)] Meta to lay off 100 in Israel, reassign 200 to AI (score=2.0, reason: Meta人員再配置、AI推進の具体例)
[GNews: Llama/Meta AI (Let's Data Science)] Meta Announces Irish Redundancies Amid AI Job Shifts (score=2.0, reason: Meta人員削減、AI職務シフト)
[GNews: Llama/Meta AI (WION)] What is Meta’s new Forum app? Facebook Groups gets a standalone AI-powered platform (score=2.0, reason: AI搭載新プロダクト発表)
[GNews: 生成AI日本 (テクノエッジ TechnoEdge)] GPT-5.5匹敵のローカル翻訳AI「Hy-MT2-30B」が無料公開。1.8B軽量版でもMicrosoft有料翻訳APIを凌駕（生成AIクローズアップ） (score=2.0, reason: 有用な翻訳モデル公開だが既存技術の改良)
[GNews: 生成AI日本 (ダイヤモンド・オンライン)] AI活用の成否を分けるデータ統合、医療分野のAI活用には、共通識別子の整備が不可欠 (score=2.0, reason: 医療AI活用のインフラ課題。実装的価値)
[GNews: 生成AI日本 (JBpress)] 「小さく始める」のがなぜ良かったのか？荏原製作所・生成AIリーダーの現場も管理部門も巻き込むプロジェクト推進術 (score=2.0, reason: 企業導入事例。プロジェクト推進の参考)
[GNews: 生成AI日本 (オルタナティブ・ブログ)] AI攻撃の産業化──ゼロデイ脆弱性を生成AIが発見する時代に企業は何を備えるか：『ビジネス2.0』の視点 (score=2.0, reason: AIセキュリティ脅威。業界関心事)
[GNews: 生成AI日本 (PR TIMES)] 訪問看護の報告書作成時間を最大42%削減 AIで“看護師がケアに使える時間”を創出 (score=2.0, reason: 看護業務の生産性向上事例。実用価値)
[GNews: 生成AI日本 (日経クロステック)] ネットワーク運用現場に広まる生成AI、3つの用途を押さえよう (score=2.0, reason: ネットワーク運用のAI活用。業界動向)
[GNews: 生成AI日本 (日経クロストレンド)] GeminiやChatGPT圧倒仕事で重宝、今さら聞けないAI「Claude」入門 (score=2.0, reason: Claude認知度上昇。主要モデル比較)
[GNews: 生成AI日本 (ASCII.jp)] AIセキュリティで必要な6つの対策／20代の半数が「検索エンジンを使わない」／生成AIツールは「業務インフラ」へ、ほか (1/2) (score=2.0, reason: AIセキュリティと検索行動の変化)
[GNews: 生成AI日本 (産経ニュース)] 静岡県磐田市、「生成AIを活用した書類審査業務の効率化」に関する連携協定をアンドドットと締結、250を超える自治体のAI支援実績を活かし、磐田市の行政DXを加速 (score=2.0, reason: 自治体のAI導入実績、行政DX推進)
[GNews: 生成AI日本 (ASCII.jp)] SDXLの次はこれ？アニメ特化のローカル画像生成AI、驚きの実力 (1/5) (score=2.0, reason: アニメ特化の画像生成AI、新興技術紹介)
[HN AI] Memory has grown to nearly two-thirds of AI chip component costs (score=2.0, reason: AIチップのメモリ費用増加トレンド)
[HN AI] 'AI washing': firms are scrambling to rebrand themselves as tech-focused (score=2.0, reason: AI企業の過度な宣伝傾向を指摘)
[HN LLM/Claude/GPT] Constraint Decay: The Fragility of LLM Agents in Back End Code Generation (score=2.0, reason: LLMエージェント信頼性の理論研究)
[r/MachineLearning] Sponsio: Deterministic Contract Layer for LLM Agents [P] (score=2.0, reason: LLMエージェントの信頼性向上技術)
[r/MachineLearning] "AI solved one of math's greatest challenges, but it cannot add two numbers reliably?!" [D] (score=2.0, reason: LLM能力のパラドックスについて論議)
[r/LocalLLaMA] hipEngine: Fast Native Qwen 3.6 Inference for RDNA3 (Strix Halo, 7900 XTX) (score=2.0, reason: AMD GPU向けLLM推論最適化)
[r/LocalLLaMA] BitCPM-CANN: Native 1.58-Bit Large Language Model Training on Ascend NPU (score=2.0, reason: 量子化LLM訓練の技術進展)
[r/LocalLLaMA] Could Open Models be trained to secretly go rogue? (score=2.0, reason: オープンモデルのセキュリティ議論)
[r/LocalLLaMA] TTS Benchmark Comparison (all known TTS up until May 2026) (score=2.0, reason: TTS比較ベンチマーク構築の試み)
[r/LocalLLaMA] How I do use the recent llama.cpp native tools to do web rag a.k.a. web_fetch (or anything else for the matter) directly from inside the llama-server's webui (score=2.0, reason: llama.cpp新機能の実装ガイド)
[r/singularity] Inaudible sounds to humans can be hidden in YouTube videos, podcasts, or music and used to secretly trigger AI voice assistants into carrying out unauthorized commands without the user noticing, exposing a new class of “auditory prompt injection” attacks against popular tools (score=2.0, reason: AIセキュリティの新しい攻撃手法と脅威)
[r/singularity] 99% of CEOs Expect AI-Driven Layoffs in the Next Two Years (score=2.0, reason: AIによる雇用影響の調査結果)
[r/singularity] Interesting article about the cyber models (mythos/5.5) living up to the hype: What to know about the AI models that are jolting Washington (score=2.0, reason: 新興AI企業の政策影響力が注目される)
[r/singularity] 768GB of cheap Intel Optane DIMM memory sticks used to run 1-trillion-parameter LLM on a system with a single GPU — local Kimi K2.5 install achieved roughly 4 tokens per second (score=2.0, reason: 大規模LLM推論の実装テクニック)
[r/singularity] Apple’s Open-Source 3D AI Generation Is Here: LiTo (score=2.0, reason: Appleの3D生成AI新モデル発表)

⚪ low (94件)

[HuggingFace Papers] TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation — Hanyu Guo, Jiedong Yang, Chao Chen 👍167 (score=1.5, reason: 公共交通ルート生成。特定ドメインのデータセット)
[HuggingFace Papers] Perception or Prejudice: Can MLLMs Go Beyond First Impressions of Personality? — Caixin Kang, Tianyu Yan, Sitong Gong 👍162 (score=1.5, reason: MLLM評価、バイアス分析のみ)
[HuggingFace Papers] SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation — Xiaolong Zhou, Yifei Liu, Ziyang Gong 👍24 (score=1.2, reason: MLLMベンチマーク、特定タスク評価)
[HuggingFace Papers] Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention — Ali Hatamizadeh, Yejin Choi, Jan Kautz 👍22 (score=1.2, reason: 線形注意メカニズムの改良。既存技術の小改善。)
[HuggingFace Papers] AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment — Kuei-Chun Kao, Daixuan Huo, Yuanhao Ban 👍16 (score=1.2, reason: T2I報酬モデルの改良。既存手法の小改善)
[HuggingFace Papers] RiT: Vanilla Diffusion Transformers Suffice in Representation Space — Le Zhang, Ning Mang, Aishwarya Agrawal 👍9 (score=1.1, reason: 拡散トランスフォーマーの表現空間最適化。技術改良。)
[HuggingFace Papers] One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems — Yufei Shi, Weilong Yan, Naixuan Huang 👍8 (score=1.1, reason: エンターテイメント応用、実用性限定)
[HuggingFace Papers] Swift Sampling: Selecting Temporal Surprises via Taylor Series — Dahye Kim, Bhuvan Sachdeva, Karan Uppal 👍8 (score=1.1, reason: ビデオフレーム選別手法。特定タスク最適化。)
[HuggingFace Papers] SceneAligner: 3D-Grounded Floorplan Localization in the Wild — Junhyeong Cho, Ruojin Cai, Hadar Averbuch-Elor 👍6 (score=1.1, reason: 特定応用(屋内ナビ)、限定的)
[HuggingFace Papers] Rule2DRC: Benchmarking LLM Agents for DRC Script Synthesis with Execution-Guided Test Generation — Jinuk Kim, Junsoo Byun, Donghwi Hwang 👍5 (score=1.1, reason: チップ設計の特定タスク。AI産業外向け)
[HuggingFace Papers] Segment Anything with Motion, Geometry, and Semantic Adaptation for Complex Nonlinear Visual Object Tracking — Deyi Zhu, Yuji Wang, Yong Liu 👍5 (score=1.1, reason: オブジェクトトラッキング、特定ドメイン)
[HuggingFace Papers] Diversed Model Discovery via Structured Table Discovery — Zhengyuan Dong, Renée J. Miller 👍4 (score=1.0, reason: モデルカード検出。メタデータ管理の改良。)
[HuggingFace Papers] "I didn't Make the Micro Decisions": Measuring, Inducing, and Exposing Goal-Level AI Contributions in Collaboration — Eunsu Kim, Jessica R. Mindel, Kyungjin Kim 👍3 (score=1.0, reason: LLM協働の貢献度測定。HCI研究寄り)
[HuggingFace Papers] OmniPro: A Comprehensive Benchmark for Omni-Proactive Streaming Video Understanding — Ruixiang Zhao, Jie Yang, Zijie Xin 👍3 (score=1.0, reason: 動画理解ベンチマーク。評価指標の提供のみ)
[HuggingFace Papers] More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts — Víctor Yeste, Paolo Rosso 👍3 (score=1.0, reason: 特定ドメイン限定、NLP応用研究)
[HuggingFace Papers] Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators — Zachary Novack, Stephen Brade, Haven Kim 👍2 (score=1.0, reason: 音楽生成の特定ドメイン応用。汎用性低い)
[HuggingFace Papers] SAM 3D Animal: Promptable Animal 3D Reconstruction from Images in the Wild — Xuyi Hu, Jin Lyu, Jiuming Liu 👍2 (score=1.0, reason: 動物3D復元の特定応用。実用性限定的)
[HuggingFace Papers] AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild — Baiyu Chen, Zechen Li, Wilson Wongso 👍2 (score=1.0, reason: モーション推定の特定応用。センサーデータ限定)
[HuggingFace Papers] Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search — Jialin Lu, Soonho Kong, Rodrigo Stehling 👍2 (score=1.0, reason: 定理証明の最適化。数学ツール特化)
[HuggingFace Papers] DecQ: Detail-Condensing Queries for Enhanced Reconstruction and Generation in Representation Autoencoders — Tianhang Wang, Yitong Chen, Wei Song 👍2 (score=1.0, reason: 表現オートエンコーダの改良。特定タスク限定)
[HuggingFace Papers] Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation — Iason Skylitsis, Dimitrios Karkalousos, Ivana Išgum 👍1 (score=1.0, reason: 医療画像の不均衡問題。領域固有の改善)
[HuggingFace Papers] FashionLens: Toward Versatile Fashion Image Retrieval via Task-Adaptive Learning — Haokun Wen, Xuemeng Song, Xinghao Xie (score=1.0, reason: ファッションEコマース検索。業界特化アプリ)
[HuggingFace Papers] Minimalist Visual Inertial Odometry — Francesco Pasti, Jeremy Klotz, Nicola Bellotto (score=1.0, reason: ロボット航法。ニッチな応用領域)
[TechCrunch AI] Everyone is navigating AI security in real time — even Google (score=1.0, reason: AI セキュリティ一般論。具体性欠如。)
[TechCrunch AI] I tried Amazon’s Bee wearable and am both intrigued and slightly creeped out (score=1.0, reason: ウェアラブル製品のレビュー。AI関連性薄い。)
[WIRED AI] These Robots Are Making Meals for a Nonprofit in San Francisco’s Tenderloin (score=1.0, reason: ロボット活用事例。ニュース価値低。)
[GNews: Anthropic/Claude (NBC News)] Pope Leo will take on AI alongside an Anthropic co-founder (score=1.0, reason: Anthropic 共同創業者の人事異動。直接的AI関連性薄い。)
[GNews: Anthropic/Claude (Let's Data Science)] Product Manager Builds Postcard App With Claude (score=1.0, reason: 個別ユーザーの利用事例)
[GNews: Anthropic/Claude (Real Context News)] The Real Context News AI Reading List: Anthropic Claude Mythos Glasswing Edition (#7) (score=1.0, reason: ニュース集約記事)
[GNews: AI model launch (Finextra Research)] TD builds AI model to speed up mortgage applications (score=1.0, reason: 単一企業の内部AI導入)
[GNews: AI partnership (simplywall.st)] Assessing Corning (GLW) Valuation After Nvidia AI Partnership And Long Term Targets (score=1.0, reason: 株価評価分析記事)
[GNews: AI partnership (Pulse 2.0)] Digital Brands Group: AI Partnership With Renov AI To Expand Ecommerce And Brand Technology Tools (score=1.0, reason: 小規模企業のAI提携)
[GNews: AI partnership (WION)] How government is using advanced AI to hunt for UFO patterns in new PURSUE database (score=1.0, reason: 政府UFO検出・AI関連性薄弱)
[GNews: AI partnership (simplywall.st)] Could Synaptics’ (SYNA) Coralboard Edge AI Push Redefine Its Core IoT Investment Narrative? (score=1.0, reason: 企業IoT戦略分析)
[GNews: AI partnership (simplywall.st)] Assessing Chiyoda (TSE:6366) Valuation After Novity AI Maintenance Partnership Announcement (score=1.0, reason: 企業AI提携の株価評価)
[GNews: AI funding (Wowtale)] [Korean Startup Weekly News #119] Venture Market Rebounds (score=1.0, reason: 韓国VC市場ニュース集約)
[GNews: Llama/Meta AI (Investing.com)] How META went from an AI winner to a controversial stock (score=1.0, reason: 株価分析、AI関連性薄い)
[GNews: Llama/Meta AI (bgr.com)] 5 Major Companies Owned By Meta (score=1.0, reason: Meta傘下企業リスト、ニュース性低)
[GNews: Llama/Meta AI (Intellectia AI)] Nvidia, Meta, and Micron's AI Investment Prospects (score=1.0, reason: 投資展望記事、業界ニュース性低)
[GNews: Llama/Meta AI (The Times of India)] 'AI impact on Indians abroad is highest': How H-1B workers are struggling after Meta, Amazon layoffs (score=1.0, reason: 雇用影響、AI関連性は間接的)
[GNews: Llama/Meta AI (24/7 Wall St.)] Meta Platforms Will Be a $2 Trillion Company On This Date (score=1.0, reason: 株価予測、AI技術と無関係)
[GNews: Llama/Meta AI (The Globe and Mail)] Missed the First AI Wave? These 3 Stocks Are Still Genius Picks. (score=1.0, reason: 投資アドバイス、AI技術ニュースでない)
[GNews: Llama/Meta AI (Insider Monkey)] Wells Fargo Reduces PT on Meta Platforms (META) Stock (score=1.0, reason: アナリスト目標株価変更、ニュース性低)
[GNews: Llama/Meta AI (NDTV)] Meta Employee Goes Viral After Volunteering To Be Laid Off Amid AI Push: "I Asked To Be Included" (score=1.0, reason: 従業員インタビュー、業界ニュースでない)
[GNews: Llama/Meta AI (Benzinga)] Mark Zuckerberg Once Disagreed With What A Noble-Winning Economist Said About The Purpose Of Life: Here's (score=1.0, reason: Zuckerberg個人的見解、AI無関係)
[GNews: Llama/Meta AI (The Economic Times)] Meta layoffs: ‘I asked to be laid off’ during company-wide 8,000 job cuts, says ex-employee (score=1.0, reason: レイオフ関連インタビュー、重複話題)
[GNews: 生成AI日本 (PR TIMES)] 静岡県磐田市、「生成AIを活用した書類審査業務の効率化」に関する連携協定をアンドドットと締結、250を超える自治体のAI支援実績を活かし、磐田市の行政DXを加速 | アンドドット株式会社のプレスリリース (score=1.0, reason: 自治体AI活用、国内ローカルニュース)
[GNews: 生成AI日本 (日経クロステック)] 使う前から「生成AI疲れ」まん延活用方法が分からず思考停止 (score=1.0, reason: 生成AI疲れ現象、市場分析のみ)
[GNews: 生成AI日本 (Yahoo!ファイナンス)] システムサポートHD---Microsoft Base Kanazawaがツエーゲン金沢向け生成AI教育を実施(フィスコ) (score=1.0, reason: 企業向けAI教育、限定的ニュース)
[GNews: 生成AI日本 (ニコニコニュース)] 写真・イラスト1枚からAR体験を制作。NASHFILM、生成AIを活用したDougARの新サービスを提供開始 (score=1.0, reason: スタートアップAR機能、ニッチ領域)
[GNews: 生成AI日本 (fukuoka-u.ac.jp)] AIと共に働く未来を考えるセミナー「生成AIが変える、私たちの『はたらく』未来～2030年の当たり前を考える～」を開催（6/2） (score=1.0, reason: 大学セミナー告知。一般向け啓発のみ)
[GNews: 生成AI日本 (電通報)] 生成AI、動画が大きく変える「学び」～メディアは生活者の伴走者へ～ (score=1.0, reason: 生成AIと動画学習の一般的解説記事)
[GNews: 生成AI日本 (アットプレス)] 自社マスコット「ナッツくん」で生成AI動画を実証。キャラクターやイラストをAI動画・ARコンテンツへ展開 (score=1.0, reason: 企業の単一プロモーション事例)
[GNews: 生成AI日本 (テクノエッジ TechnoEdge)] 生成AIグラビア実践ワークショップ、次回は「5月になっていろいろ出てきた新型T2I。その性能は！？」をテーマに5月26日開催。テクノエッジアルファ会員なら無料 (score=1.0, reason: ワークショップ告知。特定媒体向け情報)
[GNews: 生成AI日本 (kline-grp.co.jp)] 【医療科学研究所】診断・治療から予防へ転換‐生成AI活用でシンポ (score=1.0, reason: 医療シンポジウム告知のみ)
[GNews: 生成AI日本 (ゴールドオンライン)] 生成AIを「毎日使う」人が急増中！若年女性が検索代わりに選んだ「用途」とは？ (score=1.0, reason: ユーザー利用動向調査。トレンド情報)
[GNews: 生成AI日本 (nikkinonline.com)] 第2回：バンカーの仕事は生成AIに代替されるのか？ (score=1.0, reason: 職業代替の一般的論考)
[GNews: 生成AI日本 (PR TIMES)] Uravation、岩手県の法人向けに生成AI研修・AI顧問サービスを本格提供。岩手出身代表が地元中小企業を支援 (score=1.0, reason: 地域企業向けサービス提供。限定的)
[GNews: 生成AI日本 (PR TIMES)] 【5/30(土)開催】決算後初のリアル登壇：ZETA代表の山崎が個人投資家向けIRセミナー「神戸投資勉強会」へ登壇〜最新決算および生成AI時代の成長戦略とエージェンティックコマースの展望を徹底解説〜 (score=1.0, reason: 企業IR情報、投資家向けセミナー紹介)
[GNews: 生成AI日本 (nna.jp)] 生成ＡＩ、1150万人に影響 (score=1.0, reason: 生成AI労働影響の一般報道)
[HN LLM/Claude/GPT] Claude is not your architect. Stop letting it pretend (score=1.0, reason: LLMの使用注意点、実用的議論)
[r/MachineLearning] How do ML practitioners select hyperparameters, architectures, etc for self-supervised representation learning when the loss is non-monotonic? [D] (score=1.0, reason: 自己教師学習の実装上の質問)
[r/MachineLearning] PapersWithCode new features - week 1 [P] (score=1.0, reason: PapersWithCodeプラットフォーム更新)
[r/MachineLearning] MergeNB: An intuitive merge conflict resolver built for Jupyter notebooks in VS Code [P] (score=1.0, reason: Jupyter向けツール開発、特定ユース)
[r/MachineLearning] Please help with tensor dock [d] (score=1.0, reason: 個別サービス問題、業界外の内容)
[r/MachineLearning] Working on a cgo-free CUDA binding in Go for ML stuff Week 3 - open source [P] (score=1.0, reason: Go言語CUDA実装、技術的な小改良)
[r/MachineLearning] Thermocompute constant time inference [P] (score=1.0, reason: 未検証の推測的主張)
[r/LocalLLaMA] Is NVIDIA still the default best choice for local LLMs in 2026? (score=1.0, reason: ローカルLLMハードウェアの一般相談)
[r/LocalLLaMA] Qwen3.6-35B-A3B vs Gemma4-26B-A4B (score=1.0, reason: モデル比較の個別体験シェア)
[r/LocalLLaMA] What frontend do you guys use? (score=1.0, reason: ローカルLLM環境の個人的な質問)
[r/LocalLLaMA] Generative Recursive Education: Creating Custom Interactive Textbooks on the Fly. (score=1.0, reason: 特定用途のアプリケーション例)
[r/LocalLLaMA] Qwen3.6-35B-A3B-Uncensored-Genesis-APEX-MTP (score=1.0, reason: モデルのファインチューン版紹介)
[r/LocalLLaMA] Is there any reason for an uncensored model if you have no interest in roleplaying? (score=1.0, reason: ローカルLLM使用の個人的議論)
[r/LocalLLaMA] qwen3.6-35b-a3b-mtp running on GTX 1060 6GB (score=1.0, reason: スペック環境での実行報告)
[r/LocalLLaMA] OCR, granite-docling-258m vs granite-docling-2stage-258m: has anyone actually noticed any improvements? (score=1.0, reason: OCRモデルの比較質問)
[r/LocalLLaMA] Can someone help me understand MCP? (score=1.0, reason: MCPプロトコルの初心者質問)
[r/LocalLLaMA] how to install llamacpp the better way to wrapping it in python ui (CPU use only) ? (score=1.0, reason: インストール方法の個人的な質問)
[r/LocalLLaMA] magic incantation to get llama-bench to work with MTP ? (score=1.0, reason: llama-benchの利用技術的問題)
[r/LocalLLaMA] GPU VRAM only for small models with llama.cpp: is it possible? (score=1.0, reason: GPU VRAM管理の個人的な質問)
[r/LocalLLaMA] Qwen Plays ̶p̶̶o̶̶k̶̶e̶̶m̶̶o̶̶n̶ ? / QWEN PLAYS DCSS! - qwen3.6-35b-a3b@q4_k_xl plays open source roguelike adventure DCSS (and does a decent job) (score=1.0, reason: Qwenモデルの動作実験)
[r/LocalLLaMA] Choosing an abliterated version of Gemma 4 31B and 26B-A4B (score=1.0, reason: モデル選択の個人的なアドバイス求め)
[r/LocalLLaMA] What would 2x RTX 3060 12GB get me? (score=1.0, reason: GPU購入相談)
[r/LocalLLaMA] Qwen 3.6 27B MTP speed on 3080ti (getting 4.5 t/s) (score=1.0, reason: 推論速度の報告と最適化質問)
[r/LocalLLaMA] Need Help Choosing a Harness for Qwen 3.6 27B (score=1.0, reason: エージェント構築フレームワークの相談)
[r/LocalLLaMA] X-Post of lightweight wheely robots. How / what are they running as the brains? Local? IoT-Style? Networked? (score=1.0, reason: ロボット向けLLM運用の外部質問)
[r/singularity] We're one step closer to technological transcendence…now they do animated gaussian splats porn (score=1.0, reason: 風刺的で実質的AI内容がない)
[r/singularity] No Juniors Today, No Seniors in 2031 (score=1.0, reason: タイトルのみで実質的内容不明確)
[r/singularity] Palantir Gets an Initial $3.9 Million to Spy on Federal Workers (score=1.0, reason: Palantirニュースで一般AI動向と関連薄)
[r/singularity] How I feel like responding every time someone says AI is just a next token predictor (as if they aren't) (score=1.0, reason: ミーム投稿で実質的内容なし)
[r/singularity] Why American White Collar Workers Are Especially Triggered By AI (score=1.0, reason: 社会心理論考で技術トレンド関連なし)
[r/singularity] Provenance: A survival toolkit for an AI dominant information landscape (score=1.0, reason: 情報管理論考で実質的AI技術なし)
[r/singularity] Former Family Therapist Speaks on AI Attachement (score=1.0, reason: AI社会影響テーマで技術トレンド外)
[r/singularity] You just know how it'll go... (score=1.0, reason: 内容不明確なミーム投稿)
[r/singularity] Do you really want the US to “win” AI? (score=1.0, reason: AI地政学的議論で実質技術ニュース外)