全候補一覧 - 2026-06-01

全 188 件: high=27, medium=73, low=88 内訳: {'hf_paper': 50, 'blog': 3, 'google_news': 87, 'hacker_news': 4, 'reddit': 44}

🔴 high (27件)

[HuggingFace Papers] AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security — Dongrui Liu, Yu Li, Zhonghao Yang 👍127 (score=3.5, reason: AI エージェント安全性の重要ブレークスルー)
[HuggingFace Papers] Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases — Dongyoon Hahm, Dylan Hadfield-Menell, Kimin Lee 👍2 (score=3.0, reason: RLHFの安全性脆弱性指摘、重要なセキュリティ課題)
[HuggingFace Papers] PhoneWorld: Scaling Phone-Use Agent Environments — Zhengyang Tang, Yuxuan Liu, Xin Lai 👍1 (score=3.0, reason: スマートフォンエージェント環境の大規模展開)
[GNews: Anthropic/Claude (TestingCatalog AI News)] What releases to expect from Anthropic in coming weeks (score=3.0, reason: Anthropic新製品発表予告。主要企業ニュース)
[GNews: Anthropic/Claude (EdTech Innovation Hub)] Anthropic releases Claude Opus 4.8 for coding agents | ETIH EdTech News (score=3.0, reason: Claude新モデル発表。主要企業重大発表)
[GNews: Anthropic/Claude (Tech Times)] Anthropic AI Vulnerability Scanner in Enterprise Beta: IBM Joins Glasswing After 10,000 Flaws Found (score=3.0, reason: Anthropic脆弱性スキャナ・IBM協業。新製品)
[GNews: Anthropic/Claude (StartupHub.ai)] Andrej Karpathy Joins Anthropic to Lead Claude Pre-training Research (score=3.0, reason: Andrej Karpathy Anthropic加入。業界人事)
[GNews: Anthropic/Claude (thelec.net)] Samsung, SK hynix Join Anthropic Funding Round, Raising Expectations for AI Chip Cooperation (score=3.0, reason: Anthropic資金調達、Samsung/SK hynixの参加は業界動向重要)
[GNews: AI partnership (Yahoo Finance)] Micron’s Anthropic Partnership Links US$1t Valuation To AI Memory Demand (score=3.0, reason: Anthropic資金調達、Micronメモリ需要と市場評価)
[GNews: Llama/Meta AI (PYMNTS.com)] Meta Plans AI Pendant as Part of Wider Wearables Effort (score=3.0, reason: Metaのハードウェア新製品発表)
[GNews: Llama/Meta AI (Social Media Today)] Meta plans to introduce a wearable AI pendant (score=3.0, reason: Metaのハードウェア新製品発表)
[GNews: Llama/Meta AI (Barchart.com)] Meta Has a Plan to Monetize Its AI Investments. Its Underperforming Stock Needs It Badly. (score=3.0, reason: 大手企業のAI投資の収益化戦略)
[GNews: Llama/Meta AI (Investing.com)] Can Meta turn AI capacity into a $1 trillion market opportunity? (score=3.0, reason: 大手企業のAI投資とビジネス展開)
[GNews: Llama/Meta AI (The American Bazaar)] Meta explores AI wearables beyond smart glasses (score=3.0, reason: Metaのハードウェア新製品発表)
[GNews: Llama/Meta AI (TechRadar)] Meta is rumored to be working on an AI pendant, and smart glasses different to what we've seen before (score=3.0, reason: Metaのハードウェア新製品発表)
[GNews: Llama/Meta AI (simplywall.st)] Meta’s US$145b AI Bet Puts Public Cloud Opportunity In Focus (score=3.0, reason: Metaの大規模AI投資と市場機会)
[GNews: Llama/Meta AI (France 24)] A 'second brain' on your face: testing the AI glasses built by Meta's hackers (score=3.0, reason: Metaの実用AI眼鏡製品の実装評価)
[GNews: Llama/Meta AI (Seoul Economic Daily)] Meta's AI Glasses Spark Global Privacy Concerns Amid Japan Launch (score=3.0, reason: AI眼鏡のプライバシー規制問題)
[GNews: Llama/Meta AI (MSN)] Meta shareholders back AI vision as spending soars (score=3.0, reason: Meta株主総会、AI投資戦略確認)
[GNews: Llama/Meta AI (MSN)] Meta Platforms investors reject proposals as Zuckerberg bets big on AI (score=3.0, reason: Meta経営方針、投資家動向)
[GNews: 生成AI日本 (Yahoo!ニュース)] AI大手も予算削減や利用制限へ──生成AIの運用コストが収益を上回り始める (score=3.0, reason: AI大手の運用コスト危機。業界の経済性に関わる重要ニュース)
[GNews: 生成AI日本 (Mogura VR)] 【週間振り返り】Google生成AI「Project Genie」にストリートビュー連携機能が追加、Apple、AIアバター企業Animatoの特許・人材を取得ほか (score=3.0, reason: Google Project Genie機能追加。Apple Animato買収。主要企業の重大動き)
[r/LocalLLaMA] Dell confirms XPS laptop with NVIDIA N1X at Computex ( basically a DGX Spark GB10 for consumers with Windows ) (score=3.0, reason: Dell/NVIDIA新製品発表、業界ニュース)
[r/LocalLLaMA] Flash Attention for llama.cpp on RDNA3: 47% less KV VRAM than Vulkan f16 K, KLD almost losselss on F16 K / q4_0 V. Part 1. (score=3.0, reason: Flash Attention最適化、大幅な効率向上)
[r/singularity] The new benchmarks like DeepSWE now show a very big gap in proprietary models and open source (score=3.0, reason: オープンソースと商用の性能差拡大、重大な業界トレンド)
[r/singularity] MiniMax M3 is starting to rollout on the API (score=3.0, reason: MiniMax M3の100万トークンコンテキスト新モデル提供開始)
[r/singularity] Minimax M3 has been released (score=3.0, reason: MiniMax M3リリース発表、主要モデルの新型投入)

🟡 medium (73件)

[HuggingFace Papers] OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources — Jinheon Baek, Soyeong Jeong, Sangwoo Park 👍66 (score=2.5, reason: 統合検索システム。実装価値あり)
[HuggingFace Papers] minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models — Min Zhao, Hongzhou Zhu, Bokai Yan 👍49 (score=2.5, reason: 動画世界モデルのフレームワーク。実用的)
[HuggingFace Papers] YoCausal: How Far is Video Generation from World Model? A Causality Perspective — You-Zhe Xie, Yu-Hsuan Li, Jie-Ying Lee 👍41 (score=2.4, reason: 動画生成モデルの因果性分析)
[HuggingFace Papers] GenClaw: Code-Driven Agentic Image Generation — Junyan Ye, Jun He, Zilong Huang 👍31 (score=2.3, reason: エージェント型画像生成。実装テク興味深い)
[HuggingFace Papers] EarlyTom: Early Token Compression Completes Fast Video Understanding — Hesong Wang, Xin Jin, Lu Lu 👍27 (score=2.3, reason: ビデオLLM効率化、実用的な最適化)
[HuggingFace Papers] UniSteer: Text-Guided Flow Matching in Activation Space for Versatile LLM Steering — Yingdong Shi, Ruiming Zhang, Changming Li 👍21 (score=2.2, reason: LLM制御の実用的新手法)
[HuggingFace Papers] Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning — Jiapeng Zhu, Jianxiang Yu, Yibo Zhao 👍21 (score=2.2, reason: エージェント汎化能力の改善研究)
[HuggingFace Papers] LoMo: Local Modality Substitution for Deeper Vision-Language Fusion — Feng Han, Zhixiong Zhang, Zheming Liang 👍20 (score=2.2, reason: VLMの融合技術改善。実用性あり)
[HuggingFace Papers] Colored Noise Diffusion Sampling — Hadar Davidson, Noam Issachar, Sagie Benaim 👍19 (score=2.2, reason: 拡散モデルの生成品質向上手法)
[HuggingFace Papers] Xetrieval: Mechanistically Explaining Dense Retrieval — Zhixin Cai, Jun Bai, Yang Liu 👍17 (score=2.2, reason: 密集検索の解釈性向上、基盤的価値)
[HuggingFace Papers] Is Position Bias in Dense Retrievers Built In-or Learned from Data? — Daegon Yu, SeungYoon Han, Woomyoung Park 👍14 (score=2.1, reason: 検索モデルの重要な分析)
[HuggingFace Papers] CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists — Junlin Yang, Dylan Zhang, Xiangchen Song 👍13 (score=2.1, reason: LLMエージェント評価環境の提案)
[HuggingFace Papers] When Cloud Agents Meet Device Agents: Lessons from Hybrid Multi-Agent Systems — Corrado Rainone, Davide Belli, Bence Major 👍11 (score=2.1, reason: ハイブリッドエージェント設計の実践的知見)
[HuggingFace Papers] PRISM: A Multi-Dimensional Benchmark for Evaluating LLM Peer Reviewers — Ngoc Phan Phuoc Loc, Toan Huynh La Viet, Thanh Tran Khanh 👍10 (score=2.1, reason: LLMピアレビュー評価ベンチマーク構築)
[HuggingFace Papers] Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation — Chenghao Zhang, Guanting Dong, Yufan Liu 👍10 (score=2.1, reason: 自律エージェント研究の進展)
[HuggingFace Papers] RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains — Haoxiang Jiang, Zihan Dong, Tianci Liu 👍9 (score=2.1, reason: 報酬モデリングの実用的改善)
[HuggingFace Papers] WorldMemArena: Evaluating Multimodal Agent Memory Through Action-World Interaction — Chengzhi Liu, Yuzhe Yang, Sophia Xiao Pu 👍7 (score=2.1, reason: マルチモーダルエージェント記憶評価)
[HuggingFace Papers] Thinking Before Constraining: A Unified Decoding Framework for Large Language Models — Ngoc Trinh Hung Nguyen, Alonso Silva, Laith Zumot 👍6 (score=2.1, reason: LLM推論制御の一般的フレームワーク提案)
[HuggingFace Papers] Verifiable Rewards Beyond Math and Code: Lightweight Corpus-Grounded Process Supervision for Factual Question Answering — Shicheng Fan, Haochang Hao, Dehai Min 👍6 (score=2.1, reason: LLM訓練の実用的改善手法)
[HuggingFace Papers] AdaState: Self-Evolving Anchors for Streaming Video Generation — Yusuf Dalva, Pinar Yanardag 👍6 (score=2.1, reason: 動画生成の技術改善。実装テク)
[HuggingFace Papers] PANDO: Efficient Multimodal AI Agents via Online Skill Distillation — Yubo Li, Yidi Miao, Yuntian Shen 👍5 (score=2.0, reason: マルチモーダルエージェント効率化、実用性高)
[HuggingFace Papers] Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention — Jing Huang, Daniel Wurgaft, Rachit Bansal 👍5 (score=2.0, reason: モデルスケーリング特性の理論分析)
[HuggingFace Papers] Learning A Unified Risk Map for Autonomous Driving in Partially Observable Environments — Jie Jia, Yaofeng Su, Zeyu Bao 👍5 (score=2.0, reason: 自動運転の実用的予測手法)
[HuggingFace Papers] Parallax: Parameterized Local Linear Attention for Language Modeling — Yifei Zuo, Dhruv Pai, Zhichen Zeng 👍5 (score=2.0, reason: LLM効率化の理論的進展)
[HuggingFace Papers] CONF-KV: Confidence-Aware KV Cache Eviction with Mixed-Precision Storage for Long-Horizon LLM — Yubo Li, Yidi Miao 👍4 (score=2.0, reason: LLM推論効率化、実用的な最適化技術)
[HuggingFace Papers] CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval — Vaishali Senthil, Ashutosh Hathidara, Sebastian Schreiber 👍4 (score=2.0, reason: LLMエージェント向けツール検索改善)
[HuggingFace Papers] Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection — Travis Lelle 👍3 (score=2.0, reason: LoRA適配器のセキュリティ脆弱性分析)
[HuggingFace Papers] LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis — Kewei Xu, Xiaoben Lu, Shuofei Qiao 👍2 (score=2.0, reason: 長期対話型エージェント評価の課題指摘、実用性高)
[HuggingFace Papers] OmniInteract: Benchmarking Real-World Streaming Interaction for Real-Time Omnimodal Assistants — Xudong Lu, Xueying Li, Annan Wang 👍2 (score=2.0, reason: リアルタイムマルチモーダルベンチマーク。評価基準)
[HuggingFace Papers] Beyond 3D VQAs: Injecting 3D Spatial Priors into Vision-Language Models for Enhanced Geometric Reasoning — Chun-Hsiao Yeh, Shengyi Qian, Manchen Wang 👍1 (score=2.0, reason: 3D空間推論VLM改善。理論的進展)
[HuggingFace Papers] Reducing Political Manipulation with Consistency Training — Long Phan, Devin Kim, Alexander Pan (score=2.0, reason: LLMの政治的バイアス対策、安全性向上)
[GNews: Anthropic/Claude (SaaStr)] The GTM Stack Anthropic Uses From Its Head of Industries: Surprisingly Familiar Names. Used In New Ways. (score=2.0, reason: Anthropic GTM戦略。ビジネス動向)
[GNews: Anthropic/Claude (quasa.io)] Dynamic Workflows in Claude Code: Anthropic’s First Real Agent Swarm That Actually Ships (score=2.0, reason: Claudeのエージェント機能発表、実用性あり)
[GNews: AI partnership (Yahoo Finance)] Nvidia Corp. (NVDA) Deepens Enterprise AI Adoption Through ePlus Partnership (score=2.0, reason: NVIDIA企業向けAI展開、スケール拡大)
[GNews: AI partnership (BioPharma APAC)] Leica Biosystems Expands AstraZeneca And Daiichi Sankyo Collaboration To Advance AI Driven Lung Cancer Biomarker Research (score=2.0, reason: 医療用AIの産業応用、バイオテック領域)
[GNews: AI partnership (thestreet.com)] Dell blockbuster orders trigger Palantir stock surge (score=2.0, reason: Palantirの大型案件、エンタープライズAI拡大)
[GNews: AI partnership (The Korea Times)] Nvidia CEO's upcoming visit to Korea stokes hopes on physical AI collaboration (score=2.0, reason: NVIDIA CEO訪韓、アジア市場戦略の示唆)
[GNews: AI partnership (IT Brief Australia)] Workday & Google Cloud deepen AI agent partnership (score=2.0, reason: WorkdayとGoogle Cloudのエージェント連携拡大)
[GNews: AI partnership (South China Morning Post)] Alibaba signs 6-year AI deal with Uefa, will bring 360 replay tech to major events (score=2.0, reason: Alibabaの大型AI契約、スポーツテック応用)
[GNews: AI partnership (The Peninsula Qatar)] UEFA signs long-term AI partnership with Alibaba (score=2.0, reason: UEFAとAlibabaのAI長期契約、360映像技術)
[GNews: AI partnership (MSN)] Universal Music Group and Splice ink AI partnership (score=2.0, reason: 音楽業界のAI提携、著作権対応の動き)
[GNews: Llama/Meta AI (Yahoo Finance)] Meta's Subscription Push Could Add $13.5 Billion By 2028 Across Instagram, Facebook, WhatsApp (score=2.0, reason: 大手企業のビジネス戦略)
[GNews: Llama/Meta AI (New York Post)] Silicon Valley giant Meta slashes even more jobs as AI boom sparks bloodbath (score=2.0, reason: AI産業での人員調整)
[GNews: Llama/Meta AI (Happy Mag)] Meta's rumoured AI pendant wants to remember every conversation you have - (score=2.0, reason: Metaの新製品機能仕様情報)
[GNews: Llama/Meta AI (Benzinga)] Consumer Tech News (May 25-29): Dell, IBM, CrowdStrike, Meta Lead Big Tech AI Push (score=2.0, reason: 複数企業のAI投資トレンド)
[GNews: Llama/Meta AI (PCMag Australia)] Keep Forgetting What You Said? Meta Could Be Working on a Transcribing AI Pendant (score=2.0, reason: Metaの新製品機能仕様情報)
[GNews: Llama/Meta AI (Let's Data Science)] Meta Develops AI Pendant, Expands Wearables Lineup (score=2.0, reason: Meta AI ペンダント製品発表)
[GNews: Llama/Meta AI (Firstpost)] Meta working on a new AI transcribing pendant? Here's what we know so far (score=2.0, reason: Meta ウェアラブルAI製品の進展)
[GNews: Llama/Meta AI (Tech Edition)] Meta reportedly expands wearable ambitions with AI pendant and new smart glasses (score=2.0, reason: Meta スマートグラス・AIペンダント拡張)
[GNews: 生成AI日本 (ビジネス+IT)] 【最新機能】Claude Designが優秀すぎ…“パワポ整え地獄”が消える神プロンプト14選連載：きょうから使える生成AI仕事術 (score=2.0, reason: Claude Design新機能解説)
[GNews: 生成AI日本 (ITmedia)] 生成AI活用を進める企業に向けて、安心安全な開発・利用・運用の“当たり前”を作る (score=2.0, reason: AI開発・運用のガバナンス)
[GNews: 生成AI日本 (Mantan Web)] 生成AIを全社活用できる企業はわずか29.7% ダイレクトクラウドが「BCN Conference 2026 夏 Online」で紐解く、既存データ基盤を活かしたAI革新 (score=2.0, reason: 企業AI活用実態調査、業界洞察)
[GNews: 生成AI日本 (日経BP)] 古河電気工業「AIエージェントで生産性に革命を」 (score=2.0, reason: 大手企業によるAIエージェント活用事例。実装トレンド)
[GNews: 生成AI日本 (教育家庭新聞社)] 千葉県印西市、生成AIの導入授業パッケージと児童生徒用生成AIハンドブックを作成みんなのコードが支援 (score=2.0, reason: 教育現場への生成AI導入。利用拡大の実例)
[GNews: 生成AI日本 (日経クロストレンド)] まだGemini？ AI「Claude」にフォルダー丸投げ、成果物を作らせる (score=2.0, reason: Claude活用術。主要AIの使いこなし事例)
[GNews: 生成AI日本 (ビジネス+IT)] “最強ミュトス”級AIが来るぞ…企業を狂わせる「アラート地獄」は何がヤバいのか？ (score=2.0, reason: 高性能AIの運用課題。企業への実装影響)
[GNews: 生成AI日本 (Yahoo!ニュース)] 「前提として生成ＡＩに機密情報を入れてはいけない」警察官が生成ＡＩ活用方法とリスク学ぶ〈宮城県警〉（仙台放送） (score=2.0, reason: 警察など公的機関のAIセキュリティ研修。規制・リスク管理)
[GNews: 生成AI日本 (PR TIMES)] GenerativeX、シリーズAで総額6.5億円の資金調達を実施 (score=2.0, reason: 日本AI企業6.5億円調達。新興企業の成長)
[GNews: 生成AI日本 (日経クロステック)] LLM特有の課題に対応、W＆B Weaveの主な機能を押さえる (score=2.0, reason: LLM開発ツールWeave。実装技術の進展)
[GNews: 生成AI日本 (PR TIMES)] 【画像から3Dモデル生成】ChatBIM「ACIMUS」、家具・建具・設備を3Dモデル化してBIM空間に配置可能に。BIM×電子カタログ実現に向けメーカー製品の無料掲載募集を開始 (score=2.0, reason: BIM×AI生成。建築業界の実用化)
[GNews: 生成AI日本 (窓の杜)] 「Google Workspace」でGeminiの生成物やチャット内容を安全に共有可能に (score=2.0, reason: Google Workspace Gemini共有機能。主要企業製品更新)
[HN AI] The Speed of Prototyping in the Age of AI (score=2.0, reason: AI時代のプロトタイピング考察。実践的だが一般的)
[HN AI] Odysseus – self-hosted AI workspace (score=2.0, reason: セルフホストAIツール。開発者向けだが限定的)
[r/LocalLLaMA] MiniMax M3 - Coding & Agentic Frontier, 1M Context, Multimodal (score=2.0, reason: MiniMax M3モデル発表。新LLM製品)
[r/LocalLLaMA] God dammit Qwen (score=2.0, reason: Qwenモデル更新。主要企業の動き)
[r/LocalLLaMA] I ported NVIDIA Parakeet (speech-to-text) to ggml: same output as NeMo, faster, GGUF-quantized, no Python (score=2.0, reason: NVIDIA Parakeetの移植。実装テクニック)
[r/LocalLLaMA] G7 agrees on shared language around open-source AI and open weights AI (score=2.0, reason: G7のAI規制合意、政策動向)
[r/LocalLLaMA] We might have a winner with the upcoming N1X (score=2.0, reason: NVIDIA新プロセッサ情報、ハード関連)
[r/LocalLLaMA] Semantic Step Prediction: Multi-Step Latent Forecasting in LLM Reasoning Trajectories via Step Sampling (score=2.0, reason: LLM推論最適化研究、実用性あり)
[r/LocalLLaMA] Whats actually happening when a model spills out of VRAM into system memory? (score=2.0, reason: 技術解説、メモリ管理)
[r/singularity] Differences Between Opus 4.7 and Opus 4.8 on MineBench (score=2.0, reason: Claude新バージョン比較、ベンチマーク)
[r/singularity] OpenAI Robotics is hiring (score=2.0, reason: OpenAI Roboticsの採用、企業動向)
[r/singularity] Open-weights VLA hits 80%+ task progress on 4 of 17 real-robot tasks with zero fine-tuning. Demo reel attached (score=2.0, reason: オープンウェイト実ロボットタスク達成、embodied AI進展)

⚪ low (88件)

[HuggingFace Papers] CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation — Fangtai Wu, Hailong Guo, Shijie Huang 👍53 (score=1.5, reason: 画像編集の特定タスク最適化)
[HuggingFace Papers] Why Far Looks Up: Probing Spatial Representation in Vision-Language Models — Cheolhong Min, Jaeyun Jung, Daeun Lee 👍39 (score=1.4, reason: VLMの空間表現分析、理論的貢献のみ)
[HuggingFace Papers] PhyGenHOI: Physically-Aware 4D Generation of Dynamic Human-Object Interactions — Omer Benishu, Gal Fiebelman, Sagie Benaim 👍8 (score=1.1, reason: 特定ドメイン（4D生成）の限定的応用)
[HuggingFace Papers] DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation — Jusuk Lee, Seungjae Lee, Jonghun Shin 👍7 (score=1.1, reason: ロボット知覚の特定応用、分野限定)
[HuggingFace Papers] REPOT: Recoverable Program-of-Thought via Checkpoint Repair — Parsa Mazaheri 👍6 (score=1.1, reason: Program-of-Thoughtの改良、特定技術)
[HuggingFace Papers] NeuROK: Generative 4D Neural Object Kinematics — Chen Geng, Guangzhao He, Yue Gao 👍6 (score=1.1, reason: 4D物体運動の特定ドメイン研究)
[HuggingFace Papers] Geometry Matters: 3D Foundation Priors for Learning Semantic Correspondence — Artur Jesslen, Olaf Dünkel, Adam Kortylewski 👍5 (score=1.1, reason: 3D基礎モデルの応用例、限定的貢献)
[HuggingFace Papers] ChildVox: A Speech, Audio, and Large Audio-Language Model Benchmark in Understanding and Characterizing Sound across Childhood — Tiantian Feng, Anfeng Xu, Xuan Shi 👍5 (score=1.1, reason: 特定領域ベンチマーク、一般性低い)
[HuggingFace Papers] Reflective Prompt Tuning through Language Model Function-Calling — Farima Fatahi Bayat, Moin Aminnaseri, Pouya Pezeshkpour 👍4 (score=1.0, reason: プロンプト最適化の小改良、特定技術限定)
[HuggingFace Papers] Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation — Aviral Chharia, Fernando De la Torre 👍4 (score=1.0, reason: 3Dアバター生成、AR/VR限定応用)
[HuggingFace Papers] Convex Low-resource Accent-Robust Language Detection in Speech Recognition — Miria Feng, William Tan, Mert Pilanci 👍3 (score=1.0, reason: 音声認識の限定的な改良、ドメイン特化)
[HuggingFace Papers] Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation — Samson Gourevitch, Yazid Janati, Dario Shariatian 👍2 (score=1.0, reason: 拡散モデル理論的改良、応用限定)
[HuggingFace Papers] Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas — Víctor Gallego 👍1 (score=1.0, reason: ゲーム理論、AI応用は限定的)
[HuggingFace Papers] Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection — Xiaona Zhou, Muntasir Wahed, Tianjiao Yu (score=1.0, reason: 時系列異常検出の応用例、限定的)
[HuggingFace Papers] Towards Consistent Video Geometry Estimation — Zhu Yu, Jingnan Gao, Runmin Zhang (score=1.0, reason: ビデオ幾何推定、特定タスク限定)
[HuggingFace Papers] ORACLE: Anticipating Scams from Partial Trajectories in Streaming App Usage — Wenbo Gao, Songbai Tan, Zhongan Wang (score=1.0, reason: スマートフォンセキュリティ、AI関連性薄い)
[TechCrunch AI] Erin Brockovich takes aim at data center secrecy (score=1.0, reason: データセンター環境問題。AI関連性薄い)
[TechCrunch AI] Making sense of the debate over AI psychosis (score=1.0, reason: 業界評論。実質的なニュース無し)
[WIRED AI] How Turkey Hacked the Hair Transplant Industry (score=1.0, reason: ヘアトランスプラント産業。AI関連性薄い)
[GNews: Anthropic/Claude (Mshale)] Anthropic Just Fixed AI’s Biggest Problem: Claude Opus 4.8 Alex Pereira (VYhX1LjRIT) (score=1.0, reason: 信憑性不明な記事。情報源不確)
[GNews: Anthropic/Claude (Mshale)] It’s Happening... Anthropic MYTHOS 1 Is Here! Manchester City - Brentford (VaiZZTHewf) (score=1.0, reason: スポーツニュース混在。AI関連性無し)
[GNews: Anthropic/Claude (Mshale)] GPT-5.4 DESTROYED Anthropic's Claude + 8 AI Updates You Missed Karuppu (oOCw7OOWLe) (score=1.0, reason: センセーショナルなタイトル、検証不可能な主張)
[GNews: AI partnership (NJBIZ)] Rowan expands AI computing partnership with HPE, SHI (score=1.0, reason: 大学のパートナーシップ発表、限定的影響)
[GNews: AI partnership (The Recursive)] AI National Security: Bulgaria and Google Cloud Partnership (score=1.0, reason: Google Cloudの地域パートナーシップ、通常の営業活動)
[GNews: AI partnership (simplywall.st)] A Look At Broadridge Financial Solutions (BR) Valuation After Expanded AI Partnership With Kyndryl (score=1.0, reason: 個別企業の株式評価、AI関連性薄い)
[GNews: AI partnership (Yahoo Finance)] How Honeywell’s AI-Enabled NHL Arena Partnership At Honeywell International (HON) Has Changed Its Investment Story (score=1.0, reason: スポーツ施設のAI活用、投資分析記事)
[GNews: AI partnership (simplywall.st)] Assessing Fiserv (FISV) Valuation As AI Partnership With Cognition Signals A Deeper Technology Overhaul (score=1.0, reason: 金融企業の技術刷新、株式評価記事)
[GNews: AI partnership (Yahoo Finance)] Infosys Expands Roland-Garros Partnership, Unveils New AI Fan Experiences (score=1.0, reason: Infosysのスポーツイベント連携、マーケティング)
[GNews: AI partnership (Yahoo Finance)] Why Richtech Robotics’ (RR) Latest Collaboration Could Change The Conversation (score=1.0, reason: ロボティクス企業のコラボレーション、不明瞭)
[GNews: AI funding (AlleyWatch)] The Weekly Notable Startup Funding Report: 6/1/26 (score=1.0, reason: スタートアップ資金調達リスト、個別情報不足)
[GNews: AI funding (Let's Data Science)] RevReply raises $1M for AI sales automation (score=1.0, reason: 小規模スタートアップの資金調達)
[GNews: Llama/Meta AI (Mashable)] Meta faces employee backlash over tracking tool (score=1.0, reason: 企業内部の人事ニュース)
[GNews: Llama/Meta AI (24/7 Wall St.)] Can Meta Stock Reach $1,500 by 2030? (score=1.0, reason: 株価予測記事)
[GNews: Llama/Meta AI (PPC Land)] Only 18% of Americans trust AI with their data - Meta AI leads (score=1.0, reason: 一般的なAI信頼度調査)
[GNews: Llama/Meta AI (Social Media Today)] Are social platforms going to charge all users for access? (score=1.0, reason: SNS料金体系の一般的な報道)
[GNews: Llama/Meta AI (Yahoo Finance)] Meta Adds New Subscriptions, Zuckerberg Gets $7 Billion Richer (score=1.0, reason: 企業の経営ニュース)
[GNews: Llama/Meta AI (Bloomberg.com)] Apple Seeks to Disrupt the Glasses Market the Way It Did With Watches (score=1.0, reason: Appleのメガネ市場参入は関連性薄い)
[GNews: Llama/Meta AI (WION)] Save your Instagram content! Meta's AI could delete your account tomorrow morning (score=1.0, reason: センセーショナルなタイトル、具体性欠如)
[GNews: Llama/Meta AI (WION)] Meta's AI becomes first to lead charge in silencing human beings! Here's whats happening (score=1.0, reason: 扇動的表現、信憑性低い)
[GNews: Llama/Meta AI (WION)] 'Broken AI, useless products': Mark Zuckerberg might be steering Meta towards a disaster (score=1.0, reason: 意見記事、信憑性低い)
[GNews: Llama/Meta AI (WION)] 'Destroying livelihood': Instagram CEO is in hiding as Meta's AI goes out of control (score=1.0, reason: 扇動的、根拠不明確)
[GNews: Llama/Meta AI (WION)] 'Insta is dying': Meta's broken AI is leading Elon Musk's X adoption by creators at a mass scale (score=1.0, reason: 扇動的タイトル、信憑性低い)
[GNews: 生成AI日本 (Yahoo!ニュース)] AIのヨイショでその気になるのは超危険！おべっかを抑え、AIを本音アドバイザーにするプロンプトの使い分け方（アスキー） (score=1.0, reason: プロンプト使用法のハウツー)
[GNews: 生成AI日本 (ｄメニューニュース)] 質問力こそ、AI時代の最強の武器　生成AIから「使える提案」を引き出す8つのプロンプト例 (score=1.0, reason: プロンプト活用方法のTips)
[GNews: 生成AI日本 (FNNプライムオンライン)] 「前提として生成ＡＩに機密情報を入れてはいけない」警察官が生成ＡＩ活用方法とリスク学ぶ〈宮城県警〉 (score=1.0, reason: 地域的警察研修、スケール小)
[GNews: 生成AI日本 (PR TIMES)] 「ノーコードパスポートサファイア試験」を改定し、生成AI関連の学習コンテンツを拡充 (score=1.0, reason: 資格試験改定、限定的)
[GNews: 生成AI日本 (ニコニコニュース)] ペット情報WEBサイト「わんにゃんスマイル」に生成AIチャットボットを導入｜イベント検索・問い合わせ対応・事業者PRを支援 (score=1.0, reason: 特定サイトへのチャットボット導入)
[GNews: 生成AI日本 (ビジネス+IT)] 生成AIの可能性を引き出すAIオペレーターとは～AIで変える、CX・DXの最前線～ (score=1.0, reason: AIオペレーター概念、特定性弱い)
[GNews: 生成AI日本 (ミクスOnline)] 生成ＡＩで変わる未来 (score=1.0, reason: 一般的な生成AI解説。具体性に欠ける)
[GNews: 生成AI日本 (ICT教育ニュース)] 東京工芸大学、高校生対象の生成AIを使いこなす「生成AI活用講座」8月3日・4日開講 (score=1.0, reason: 大学の教育講座開催。個別事例に過ぎない)
[GNews: 生成AI日本 (PR TIMES)] ダイレクトクラウドがBCN Conference 2026 夏 Onlineに登壇「生成AI連携したストレージで働き方を革新する」 (score=1.0, reason: 企業カンファレンス登壇告知。宣伝色が強い)
[GNews: 生成AI日本 (日経クロステック)] AI時代でもSIerは人月商売、老朽システムで「浦島太郎」となる技術者の悲惨（3ページ目） (score=1.0, reason: SIer業界のAI時代対応論。業界固有の課題)
[GNews: 生成AI日本 (Yahoo!ニュース)] AIを使える人と使えない人で、とんでもない差が出ると実感した理由（アスキー） (score=1.0, reason: AI利用格差についての感想文。一般論)
[GNews: 生成AI日本 (robot digest)] [エディターズノートvol.27] フィジカルAIって？ (score=1.0, reason: フィジカルAI概念解説。定義的なコンテンツ)
[GNews: 生成AI日本 (教育家庭新聞社)] スタディポケット、生成AIを活用した進路指導支援「AI面接対策」の実証を開始福井工大附属福井高校・中央区立晴海中学校で (score=1.0, reason: 教育スタートアップの進路支援実証。小規模事例)
[GNews: 生成AI日本 (PR TIMES)] 東急不動産HDグループのDX推進を担うTFHD digitalへ「Microsoft 365 Copilot研修」を実施 (score=1.0, reason: 企業向けCopilot研修告知。宣伝)
[GNews: 生成AI日本 (福井新聞社)] エコテック、AI事業部を本格始動 ── 高騰する「検索エンジン広告コスト問題」を解決する (score=1.0, reason: スタートアップのAI事業部始動。個別ビジネス展開)
[HN AI] The solution might be cancelling my AI subscription (score=1.0, reason: 個人的な購読キャンセルの話。AI関連性薄い)
[HN AI] The people who actually want AI to replace humanity (score=1.0, reason: AIと人類の哲学的議論。業界ニュースでない)
[r/MachineLearning] [D] Monthly Who's Hiring and Who wants to be Hired? (score=1.0, reason: 採用情報テンプレート。業界ニュースでない)
[r/MachineLearning] UAI Results are out [R] (score=1.0, reason: 論文リジェクション。個人的な話題)
[r/MachineLearning] Arabic ASR model struggling to converge during training [D] (score=1.0, reason: 音声認識モデルの技術的質問。限定的)
[r/MachineLearning] When are ICML openreviews made public? [R] (score=1.0, reason: 会議日程の質問。業界ニュースでない)
[r/MachineLearning] How would you model this "strand" clustering problem? [P] (score=1.0, reason: クラスタリング問題の相談。限定的)
[r/MachineLearning] I built a tool to browse and plan CVPR workshop/tutorial days [P] (score=1.0, reason: CVPR計画ツール。個人プロジェクト)
[r/MachineLearning] Bayesian Opt. GPs vs Linear models and Neural Networks for parameter optimizations [R] (score=1.0, reason: ハイパーパラメータ最適化の質問。基本的)
[r/LocalLLaMA] (YT) PewDiePie released his harness/webui (score=1.0, reason: PewDiePieの個人プロジェクト。話題性のみ)
[r/LocalLLaMA] Stepfun 3.7 Flash is very good (score=1.0, reason: Stepfun 3.7の個人評価。主観的)
[r/LocalLLaMA] Get you some GPUs, it's not worth the hacks around lack of RAM (score=1.0, reason: GPU購入のミーム。業界ニュースでない)
[r/LocalLLaMA] 13 abliterated Gemma 4 E2B variants, 44 GPU hours, Benchmark and Comparison - Abliterlitics (score=1.0, reason: Gemma 4の個人ベンチマーク。限定的)
[r/LocalLLaMA] Llama Studio v0.2.0 (score=1.0, reason: Llama Studio更新。マイナーツール)
[r/LocalLLaMA] GPU Prices. Buy now, or buy later? (score=1.0, reason: GPU価格予測。個人的な質問)
[r/LocalLLaMA] when you spend 5 days fine-tuning a model and it still confidently makes things up (score=1.0, reason: ユーモア/雑談、技術情報なし)
[r/LocalLLaMA] It's funny how everything changes, yet somehow stays the same. (score=1.0, reason: 雑談、具体的内容なし)
[r/LocalLLaMA] What's this sub geebral opinion on quantisizing the KV cache (score=1.0, reason: 技術質問、一般的な話題)
[r/LocalLLaMA] Added an old 2070 Super to my rig and I can't go back...worse, now I need more (score=1.0, reason: 個人のハード購入体験)
[r/LocalLLaMA] Qwen3.6-35B vs Gemma4-26B on 7900 XTX (score=1.0, reason: モデル比較、個人テスト)
[r/LocalLLaMA] <Think> toggle button for llama.cp web chat for QWEN3.6 (score=1.0, reason: UI機能追加、小規模改善)
[r/LocalLLaMA] mudler/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-APEX-MTP-GGUF just released ! (score=1.0, reason: 量子化モデルリリース、個別プロジェクト)
[r/LocalLLaMA] DIY Local 2x DGX Spark cluster cooler with automatic temperature controlled fan. (score=1.0, reason: DIY冷却システム、個人プロジェクト)
[r/singularity] Real post from /antiai (score=1.0, reason: 不明瞭、具体情報なし)
[r/singularity] 1 month for us = 820,000 years for asi (score=1.0, reason: 哲学的議論、非技術的)
[r/singularity] Is the audiovisual industry transforming? Can we use it for a new way of teaching history? (score=1.0, reason: AI教育利用事例、産業応用)
[r/singularity] how does gpt 5.5 have a significantly high hallucination rate while demonstrating the best performance on DeepSWE? (score=1.0, reason: 特定モデルの性能指標の疑問、検証的な議論)
[r/singularity] Heads up for DeepSWE benchmark: The cost is measured per task, not the total run. (score=1.0, reason: ベンチマーク測定方法の技術的な指摘)
[r/singularity] What non-AI or non-intelligence enhancement technologies are you most excited about? (score=1.0, reason: AI外技術についての一般的な提起、業界関連性薄弱)
[r/singularity] The shit about AI creating new job titles has been around for too long for it to be so limited. Let's debunk and make it more comprehensive. (score=1.0, reason: AI雇用創出に関する意見、具体性の低い議論)
[r/singularity] Streamlined Prompt Hacks Every Producer should know. (score=1.0, reason: プロンプト活用法の一般的なTips共有)