全候補一覧 - 2026-06-09

全 293 件: high=47, medium=127, low=119 内訳: {'arxiv': 32, 'hf_paper': 50, 'blog': 24, 'google_news': 130, 'hacker_news': 7, 'reddit': 50}

🔴 high (47件)

[HuggingFace Papers] dots.tts Technical Report — Shi Lian, Changtao Li, Bohan Li 👍12 (score=3.1, reason: 基盤TTS モデル、重要な音声生成基盤)
[HuggingFace Papers] ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research — Wanghan Xu, Shuo Li, Tianlin Ye 👍1 (score=3.0, reason: AI自律研究の実用性評価ベンチマーク)
[OpenAI] Confidential submission of draft S-1 to the SEC (score=3.0, reason: OpenAIのIPO機密申請。業界に大きな影響を与える重大ニュース。)
[TechCrunch AI] OpenAI files confidentially for IPO, following Anthropic (score=3.0, reason: OpenAI IPO申請。Anthropic同様、業界の大型ビジネスイベント。)
[WIRED AI] OpenAI Confidentially Files for IPO on the Heels of SpaceX and Anthropic (score=3.0, reason: OpenAI IPO申請、業界再編の重大ニュース)
[WIRED AI] Apple’s New Siri AI Is Ready to Get Personal (score=3.0, reason: Apple新AI戦略発表、主要企業の重大動き)
[Stratechery] Google Buys Compute From SpaceX, Broadcom’s Outlook, Apple’s AI Politics (score=3.0, reason: GoogleとSpaceX提携、大型ビジネス動向)
[GNews: Anthropic/Claude (FOX 29 Philadelphia)] OpenAI files for IPO, joins SpaceX and Claude-maker Anthropic in race to go public (score=3.0, reason: OpenAI IPO申請の重複報道)
[GNews: Anthropic/Claude (Reuters)] OpenAI files for US IPO after Anthropic as AI giants head to public markets (score=3.0, reason: OpenAI IPO申請の重複報道)
[GNews: Anthropic/Claude (ADWEEK)] OpenAI Confidentially Files for IPO, Joining Anthropic in Race to Wall Street (score=3.0, reason: OpenAI IPO申請の重複報道)
[GNews: Anthropic/Claude (Tech Times)] The Pentagon Is Racing to Replace Anthropic’s Claude — Because It Was ’Too Safe‘ for War (score=3.0, reason: 防衛省のAI選別動向を示す規制トレンド)
[GNews: Anthropic/Claude (Tech Times)] Claude Now Works Inside Excel: Microsoft Drops Anthropic's AI Into The Spreadsheet 750 Million People Use (score=3.0, reason: Claude×Excel統合で7.5億ユーザー到達)
[GNews: Anthropic/Claude (TradingView)] Claude Powers Nine of Ten Broker AI Agents That Now Trade Live Accounts (score=3.0, reason: Claudeが金融AI市場で支配的地位獲得)
[GNews: Anthropic/Claude (Tech Times)] Microsoft Built Its Own AI To Depend On OpenAI And Anthropic Less ：And Says It Just Beat Claude In Blind Tests (score=3.0, reason: Microsoft独自AI開発で競争激化示唆)
[GNews: Anthropic/Claude (TechRepublic)] Anthropic’s Mythos AI Reportedly Enters NSA Offensive Cyber Planning (score=3.0, reason: NSA採用で政府AI調達市場変動)
[GNews: Anthropic/Claude (Yahoo Tech)] Anthropic says Mythos can turn software patches into exploits in minutes (score=3.0, reason: Mythosの危険性が実証される)
[GNews: Anthropic/Claude (thelec.net)] Anthropic Expands Claude Mythos Access to 150 Organizations Globally (score=3.0, reason: エンタープライズ向け拡大150社へ)
[GNews: AI partnership (CNBC)] Apple partnering with Google and Nvidia for most advanced AI model (score=3.0, reason: Apple×Google×NVIDIA最先端AI提携)
[GNews: AI partnership (9to5Mac)] Craig Federighi details Apple’s collaboration with Google for Siri AI in iOS 27 (score=3.0, reason: Apple×Google提携、新型Siri発表)
[GNews: AI partnership (SFist)] Apple Debuts Siri Chatbot, Other AI Features Powered by Google Partnership (score=3.0, reason: Apple×Google提携、重大製品発表)
[GNews: AI partnership (MediaPost)] Apple Announces 'Siri AI' Based On Google Collaboration 06/09/2026 (score=3.0, reason: Apple×Google提携、Siri AI新展開)
[GNews: AI partnership (Business Chief)] Pinterest Announces US$4bn AI Partnership with AWS (score=3.0, reason: Pinterest×AWS、40億ドル規模提携)
[GNews: AI partnership (Moomoo)] Google, Microsoft Pledge Close AI Collaboration With UK Government (score=3.0, reason: Google×Microsoft、英国政府協業)
[GNews: AI funding (AI Insider)] AI Music Startup Suno Raises $400M at $5.4B Valuation Despite Copyright Battles (score=3.0, reason: 著作権問題下でのSuno高額融資)
[GNews: AI funding (Indiatimes)] moonshot ai seeks 30 billion valuation in new funding talks (score=3.0, reason: 中国AI企業Moonshot急速な成長)
[GNews: AI funding (Startup Fortune)] Moonshot AI's valuation race is testing China's AI funding boom (score=3.0, reason: 中国AIファンディングのトレンド分析)
[GNews: AI funding (Startup Fortune)] Moonshot AI shows how fast China is repricing AI challengers (score=3.0, reason: 中国AI再評価の市場動向解説)
[GNews: AI funding (Memeburn)] DeepSeek’s $7 billion AI Funding Push Shakes 2026 Race (score=3.0, reason: DeepSeekの歴史的大型融資発表)
[GNews: AI funding (The Economic Times)] DeepSeek close to sealing $7 billion funding in historic AI deal (score=3.0, reason: DeepSeek 70億ドル融資確定報告)
[GNews: Llama/Meta AI (SecurityWeek)] Meta Says 20,000 Instagram Accounts Hacked via AI Tool Abuse (score=3.0, reason: セキュリティ侵害 20,000 件、重大インシデント)
[GNews: Llama/Meta AI (Help Net Security)] Hackers used Meta’s AI support system to hijack over 20,000 Instagram accounts (score=3.0, reason: セキュリティ侵害 20,000 件、重大インシデント)
[GNews: Llama/Meta AI (Gizmodo)] Meta Says Thousands of Instagram Accounts Were Breached Through Its AI Support Assistant (score=3.0, reason: セキュリティ侵害 20,000 件、重大インシデント)
[GNews: Llama/Meta AI (BleepingComputer)] Over 20,000 Instagram accounts stolen in Meta AI support hack (score=3.0, reason: セキュリティ侵害 20,000 件、重大インシデント)
[GNews: Llama/Meta AI (The Verge)] Hackers likely hijacked over 20,000 Instagram accounts with Meta’s AI chatbot (score=3.0, reason: セキュリティ侵害・2万件アカウント乗っ取り)
[GNews: Llama/Meta AI (PYMNTS.com)] CPI | Italy Ends Meta WhatsApp AI Probe as EU Investigation Expands (score=3.0, reason: 規制当局による Meta AI 調査)
[GNews: Llama/Meta AI (Baton Rouge Business Report)] Baton Rouge chosen as launch site for Meta’s $115M AI workforce academy (score=3.0, reason: Meta の $115M AI 人材育成投資)
[GNews: 生成AI日本 (NHKニュース)] オープンAI 新規株式公開を申請 AI開発大手の上場相次ぐ見通し (score=3.0, reason: OpenAI の IPO 申請・業界動向)
[GNews: 生成AI日本 (PR TIMES)] Spectee、経産省・NEDOによる生成AI基盤モデル開発プロジェクト「GENIAC」に採択 (score=3.0, reason: 政府支援の基盤モデル開発、業界政策的重要性)
[GNews: 生成AI日本 (日経クロステック)] 経産省の「GENIAC」第4期に16件採択、日本の生成AI開発は現場特化へ (score=3.0, reason: 日本の生成AI政策方向を示す重要ニュース)
[GNews: 生成AI日本 (Yahoo!ニュース)] Googleがサイト管理・分析「Search Console」に検索の生成AIのパフォーマンスレポート導入（Web担当者Forum） (score=3.0, reason: Google検索への生成AI統合、大手企業の新機能)
[HN AI] Apple reveals new AI architecture built around Google Gemini models (score=3.0, reason: Apple新AI戦略、主要企業の技術方向転換)
[HN AI] Apple Core AI Framework (score=3.0, reason: Apple新AI開発フレームワーク、プラットフォーム技術)
[HN AI] Siri AI (score=3.0, reason: Apple Siriの生成AI統合、主要企業の新機能)
[HN LLM/Claude/GPT] DeepSeek V4 Pro beats GPT-5.5 Pro on precision (score=3.0, reason: 主要LLMの性能比較、DeepSeekの躍進)
[r/singularity] "Chat is dead": OpenAI preps overhaul of ChatGPT (score=3.0, reason: OpenAI ChatGPT大幅刷新の発表)
[r/singularity] Claude Fable 5 spotted on Azure and the backend, likely the public-facing version of Claude Mythos 5 (score=3.0, reason: Claude新モデル(Mythos5)の実装情報)
[r/singularity] Apple announces Siri AI and its next generation of Apple Intelligence at WWDC 2026 (score=3.0, reason: Apple Intelligence次世代発表)

🟡 medium (127件)

[HuggingFace Papers] Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings — Songhao Wu, Zhongxin Chen, Yuxuan Liu 👍71 (score=2.5, reason: LLM解釈性の重要な洞察)
[HuggingFace Papers] Robots Need More than VLA and World Models — Elis Karcini, Faisal Mehrban, Quang Nguyen 👍22 (score=2.2, reason: ロボット学習アーキテクチャ。汎用性議論)
[HuggingFace Papers] OpenSkill: Open-World Self-Evolution for LLM Agents — Zhiling Yan, Dingjie Song, Hanrong Zhang 👍19 (score=2.2, reason: LLMエージェントの自己進化、実用的課題)
[HuggingFace Papers] When Tools Fail: Benchmarking Dynamic Replanning and Anomaly Recovery in LLM Agents — Dongsheng Zhu, Xuchen Ma, Yucheng Shen 👍18 (score=2.2, reason: LLMエージェントの実用的な課題に対応)
[HuggingFace Papers] SubtleMemory: A Benchmark for Fine-Grained Relational Memory Discrimination in Long-Horizon AI Agents — Wenxuan Wang, Haoyu Sun, Fukuan Hou 👍17 (score=2.2, reason: LLMエージェントのメモリ管理ベンチマーク)
[HuggingFace Papers] UnpredictaBench: A Benchmark for Evaluating Distributional Randomness in LLMs — Amirhossein Abaskohi, Amirhossein Dabiriaghdam, Liang Luo 👍13 (score=2.1, reason: LLM評価ベンチマーク。特定領域の評価フレームワーク)
[HuggingFace Papers] LLM Explainability with Counterfactual Chains and Causal Graphs — Nirit Nussbaum-Hoffer, Nitay Calderon, Liat Ein-Dor 👍13 (score=2.1, reason: LLM解釈可能性。因果グラフ活用)
[HuggingFace Papers] Thinking with Imagination: Agentic Visual Spatial Reasoning with World Simulators — Chenming Zhu, Jingli Lin, Yilin Long 👍12 (score=2.1, reason: VLMの空間推論能力拡張、エージェント強化)
[HuggingFace Papers] Watch, Remember, Reason: Human-View Video Understanding with MLLMs — Jiahao Meng, Yue Tan, Qi Xu 👍12 (score=2.1, reason: ビデオ理解の新しいMLLM活用法)
[HuggingFace Papers] SIA: Self Improving AI with Harness & Weight Updates — Prannay Hebbar, Yogendra Manawat, Samuel Verboomen 👍9 (score=2.1, reason: Self-improving AIの自動化に関する興味深い研究)
[HuggingFace Papers] Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills — Chuan Xiao, Zhengbo Jiao, Shaobo Wang 👍8 (score=2.1, reason: LLMコーディングエージェントの自己改善)
[HuggingFace Papers] Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors — Hanxun Yu, Xuan Qu, Lei Ke 👍4 (score=2.0, reason: 3D空間理解の拡張、VLM応用の新展開)
[HuggingFace Papers] A Cookbook of 3D Vision: Data, Learning Paradigms, and Application — Hongyang Du, Zongxia Li, Dawei Liu 👍3 (score=2.0, reason: 3D視覚のサーベイ、多段階学習パラダイム)
[HuggingFace Papers] Reinforcement Learning from Rich Feedback with Distributional DAgger — Rishabh Agrawal, Jacob Fein-Ashley, Paria Rashidinejad 👍3 (score=2.0, reason: 推論モデル学習方法。RLVR改善)
[HuggingFace Papers] Imaginative Perception Tokens Enhance Spatial Reasoning in Multimodal Language Models — Mahtab Bigverdi, Linjie Li, Weikai Huang 👍2 (score=2.0, reason: VLMの空間推論改善テクニック)
[HuggingFace Papers] CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning — Linas Nasvytis, Simon Jerome Han, Ben Prystawski 👍2 (score=2.0, reason: 推論改善技術。検証可能報酬の活用)
[HuggingFace Papers] LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models — Prateek Kumar Sikdar 👍2 (score=2.0, reason: 推論効率化。エージェント最適化)
[HuggingFace Papers] BRepCLIP: Contrastive Multimodal Pretraining on BRep Primitives for CAD Understanding — Muhammad Usama, Didier Stricker, Mohammad Sadil Khan 👍2 (score=2.0, reason: CAD分野での新しいマルチモーダル学習手法。特定ドメイン向け。)
[HuggingFace Papers] The Distillation Game: Adaptive Attacks & Efficient Defenses — Youssef Allouah, Mahdi Haghifam, Sanmi Koyejo 👍1 (score=2.0, reason: モデル蒸留攻撃と防御の実践的課題)
[HuggingFace Papers] Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation — Xingyu Su, Jacob Helwig, Shubham Parashar 👍1 (score=2.0, reason: 拡散言語モデル研究。モデル変換技術)
[HuggingFace Papers] Towards Retrieving Interaction Spaces for Agentic Search — Shengyao Zhuang, Yuansheng Ni, Hengxin Fun 👍1 (score=2.0, reason: エージェント検索改善。情報検索の再考)
[HuggingFace Papers] Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation — Maxime Griot, Paul Steven Scotti, Tanishq Mathew Abraham 👍1 (score=2.0, reason: 推論蒸留効率化。CoT圧縮技術)
[HuggingFace Papers] Streaming Video Generation with Streaming Force Control — Hanhui Wang, Yiming Xie, Haiwen Feng 👍1 (score=2.0, reason: 物理ベースのビデオ生成フレームワーク、応用価値あり)
[arXiv:cs.AI] Reinforcement Learning for Flow-Matching Policies with Density Transport — Boshu Lei, Kostas Daniilidis, Antonio Loquercio (score=2.0, reason: RL×flow-matching の興味深い技術ですが、特定ドメイン限定)
[arXiv:cs.AI] InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs — Peiliang Gong, Emadeldeen Eldele, Chenyu Liu (score=2.0, reason: LLM×時系列予測の実用的研究、応用価値あり)
[arXiv:cs.AI] Distilling LLM Reasoning into an Interpretable Policy Tree for Human-AI Collaboration — Beiwen Zhang, Yongheng Liang, Guowei Zou (score=2.0, reason: LLMの推論を解釈可能ポリシーに変換、HCI観点で興味深い)
[arXiv:cs.AI] Calibration of Structured Ignorance Certificates for Diagnosing Unknown Unknowns in Reasoning Models — Subramanyam Sahoo (score=2.0, reason: LLMの不確実性定量化、重要な課題だが既存研究の延長)
[arXiv:cs.CL] Multilingual Fact-Checking at Scale: Fine-Tuned Compact Models vs LLMs — Pratuat Amatya, Vinay Setty (score=2.0, reason: 実運用の事例研究、実用性高いが限定的スケール)
[arXiv:cs.CL] Inside the LLM Word Factory — Benzi Busigin, Yuval Pinter (score=2.0, reason: Transformerの内部メカニズム分析、基礎研究として有用)
[arXiv:cs.CV] OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework — Chenhan Jin, Shengze Xu, Qingsong Wang (score=2.0, reason: データプルーニング理論、効率化に有用だが既知手法の改良)
[arXiv:cs.LG] Quantum Global Variational Learning for Quantum Error Correction — Shun Ryuzaki, Hideo Mukai (score=2.0, reason: 量子誤り訂正への量子NN応用、量子コンピュータ進展)
[arXiv:cs.HC] Beyond Prediction: Longitudinal Reasoning in EHR-Integrated Clinical AI — Irene Yi, Grace Brown, Sufian Aldogom (score=2.0, reason: 臨床AIの構造分析、医療応用)
[arXiv:cs.MA] The Consistency Illusion: How Multi-Agent Debate Hides Reasoning Misalignment — Xiaoyang Wang, Christopher C. Yang (score=2.0, reason: マルチエージェントLLM信頼性の課題指摘)
[arXiv:cs.MA] SceneConductor: 3D Scene Generation from Single Image with Multi-Agent Orchestration — Jeonghwan Kim, Yushi Lan, Yongwei Chen (score=2.0, reason: 3D生成の多エージェント手法、視覚応用)
[arXiv:cs.RO] Real-IKEA: Physical Fidelity is the Prerequisite for Robust Manipulation — Kunqi Xu, Zhenhao Huang, Siyuan Luo (score=2.0, reason: ロボット操作のシミュレーション課題解決)
[arXiv:cs.RO] FAWAM: Force-Aware World Action Models for Closed-Loop Contact-Rich Manipulation — Haotian He, Zeyu Yan, Qipeng Liu (score=2.0, reason: 力覚フィードバック活用の操作改善)
[arXiv:cs.RO] OASIS: From Simulation Data Collection to Real-World Humanoid Loco-Manipulation — Zehao Yu, Jiakun Zheng, Weiji Xie (score=2.0, reason: ヒューマノイドロボの実世界学習)
[arXiv:cs.RO] Autonomous Aerial Manipulation via Contextual Contrastive Meta Reinforcement Learning — Lixuan Jin, Bingxuan Lan, Xinyi Bao (score=2.0, reason: ドローン空中操作のメタRL手法)
[HuggingFace Papers] TBD-VLA: Temporal Block Diffusion Vision Language Action Model — Sung-Wook Lee, Xuhui Kang, Yen-Ling Kuo (score=2.0, reason: VLA離散化の拡散モデル応用)
[HuggingFace Papers] Empirical Study on the Characteristics and Evolution of AI-usage in GitHub Repositories: Evidence from Code Comments — Abdullah Al Mujahid, Preetha Chatterjee, Mia Mohammad Imran (score=2.0, reason: 開発現場のAI採用動向実証調査)
[HuggingFace Papers] Augmenting Attention with Exponentially Decaying Memory Improves Query-Aware KV Sparsity — Xiuying Wei, Caglar Gulcehre (score=2.0, reason: 推論効率化技術。KVキャッシュ削減)
[HuggingFace Papers] Critic-R: Improving Agentic Search using Instruction-tuned Retrievers with Natural Language Introspective Feedback — Md Zarif Ul Alam, Alireza Salemi, Hamed Zamani (score=2.0, reason: 検索エージェントの改良、実用的な進展)
[HuggingFace Papers] WorldBench: A Challenging and Visually Diverse Multimodal Reasoning Benchmark — Yida Yin, Harish Krishnakumar, Chung Peng Lee (score=2.0, reason: マルチモーダルモデルの汎化性評価重要)
[OpenAI] Built to benefit everyone: our plan (score=2.0, reason: OpenAIのビジョン声明。戦略的発表だが新情報は限定的。)
[TechCrunch AI] Apple bets cheaper AI will woo small developers (score=2.0, reason: Apple開発者向けAI API無料化。開発者エコシステムへの施策。)
[TechCrunch AI] WWDC 2026: Everything announced on Siri AI, iOS 27, Apple Intelligence and more (score=2.0, reason: WWDC 2026全体の発表内容。Apple Intelligence戦略の現状。)
[TechCrunch AI] Apple just taught your iPhone to finish your sentences, your photos, and your workflows (score=2.0, reason: Appleの複数AIアプリ機能強化。段階的な実装進展。)
[TechCrunch AI] Apple will let you build workflows using AI in its new Shortcuts app (score=2.0, reason: ShortcutsアプリのAI統合。プロンプトベースのワークフロー自動化。)
[TechCrunch AI] Apple’s long-awaited AI Siri overhaul is finally here (score=2.0, reason: Siri AI大幅改良。Apple Intelligence戦略の中核発表。)
[WIRED AI] The UK Is Betting on a Billion-Dollar AI Supercomputer to Kick Its Addiction to US Tech (score=2.0, reason: AI基盤整備の国家戦略、政策動向)
[WIRED AI] Meta Deletes Face-Recognition System From Its Smart Glasses App After WIRED Report (score=2.0, reason: プライバシー規制への対応、業界動向)
[GNews: Anthropic/Claude (Fortune)] Anthropic’s Claude Code creator says there are days he manages tens of thousands of AI agents at once (score=2.0, reason: Claude Code開発者コメント、製品動向)
[GNews: Anthropic/Claude (Anthropic)] Paving the way for agents in biology (score=2.0, reason: 生物分野へのAI応用展開)
[GNews: Anthropic/Claude (Augment Code)] Anthropic's Claude Code hits 131K GitHub stars: why developers are skipping the IDE (score=2.0, reason: Claude Code人気、開発者採用動向)
[GNews: Anthropic/Claude (Breaking Defense)] Trump memo on AI aims to avoid repeat of Anthropic debacle (score=2.0, reason: 規制・政治動向関連)
[GNews: Anthropic/Claude (Industrial Cyber)] Dragos applies Claude Mythos Preview to uncover vulnerabilities in OT security software (score=2.0, reason: Claude実運用での脆弱性検出事例)
[GNews: Anthropic/Claude (Startup Fortune)] Anthropic is turning Claude Mythos into a controlled security business (score=2.0, reason: Anthropicのセキュリティ事業化戦略)
[GNews: Anthropic/Claude (BankInfoSecurity)] Anthropic Calls for Pause on Frontier AI Development (score=2.0, reason: AI開発規制に関する方針声明)
[GNews: Anthropic/Claude (TradingView)] BT Says Co Joins Anthropic’s Project Glasswing, Giving Access To Claude Mythos Preview (score=2.0, reason: 大企業のMythos Preview採用拡大)
[GNews: AI model launch (MSN)] Meta pushes back developer release of new AI model amid ongoing testing (META) (score=2.0, reason: Meta新モデルリリース延期)
[GNews: AI model launch (Let's Data Science)] Alphabet Increases CapEx While AI Opportunity Expands (score=2.0, reason: Google AIへの投資拡大トレンド)
[GNews: AI model launch (Insurance Business)] Australia gets AI tool too dangerous for public release (score=2.0, reason: AI安全性と規制の国別差異)
[GNews: AI partnership (Yahoo! Finance Canada)] Can IBM Gain From Its Growing AI Collaboration With Google Cloud? (score=2.0, reason: 大手企業の協業、ビジネス価値あり)
[GNews: AI partnership (PR Newswire)] EPAM and TGS Announce Strategic Collaboration to Accelerate AI Adoption at Scale in Energy Sector (score=2.0, reason: エネルギー業界AI導入、実用性あり)
[GNews: AI partnership (thelec.net)] Jensen Huang, Chey Tae-won Announce Long-Term AI Partnership (score=2.0, reason: GPU企業CEO発表、長期提携)
[GNews: AI partnership (AMD)] AMD and Imperial College London Announce Strategic Collaboration to Advance AI-Enabled Scientific Discovery and Sovereign AI Infrastructure (score=2.0, reason: AMD×大学研究、科学AI推進)
[GNews: AI partnership (Investing.com)] South Korea’s Naver rallies on Nvidia AI partnership (score=2.0, reason: Naver×Nvidia提携、株価反応)
[GNews: AI partnership (StockInvest.us)] Naver Shares Skyrocket on New AI Partnership with Nvidia During CEO Visit (score=2.0, reason: 主要企業NaverのNvidia提携発表)
[GNews: AI partnership (New York Post)] Apple reveals long-delayed Siri AI makeover at Worldwide Developers Conference — but still fails to excite investors (score=2.0, reason: Apple Siri AI刷新、市場反応注視)
[GNews: AI partnership (Techzine Global)] NTT DATA and Google Cloud expand collaboration on agentic AI (score=2.0, reason: Google Cloudとの大型AI提携拡大)
[GNews: AI partnership (NTT, Inc.)] NTT DATA Expands Collaboration with Google Cloud to Accelerate Enterprise AI from Pilots to Production (score=2.0, reason: NTT DATA・Google提携の詳細発表)
[GNews: AI funding (CTech)] A Security raises $37 million backed by Wiz CEO Assaf Rappaport and Cyera CEO Yotam Segev (score=2.0, reason: 有名投資家支援のセキュリティ企業融資)
[GNews: AI funding (Bloomberg.com)] Startup PhysicsX Hits $2.4 Billion Valuation to Provide AI for Manufacturing (score=2.0, reason: 製造業向けAI企業の大型評価額)
[GNews: AI funding (Let's Data Science)] PhysicsX Raises $300M to Scale Physics AI (score=2.0, reason: インデックス9と同一企業の融資報告)
[GNews: AI funding (Pulse 2.0)] Merantix Capital Raises €103 Million AI Fund To Back Early-Stage European Startups (score=2.0, reason: 欧州AI投資ファンドの新設)
[GNews: AI funding (The Business Times)] Temasek-backed startup PhysicsX hits US$2.4 billion valuation to provide AI for manufacturing (score=2.0, reason: インデックス9と同一企業の評価額報告)
[GNews: AI funding (Tech Funding News)] Britain's biggest banks, defence primes, and telecoms are betting on a three-year-old startup to end their dependence on American AI (score=2.0, reason: 英国の米国AI依存脱却の取組み)
[GNews: Llama/Meta AI (KTALnews.com)] Meta announces Louisiana Workforce Academy for AI data center construction (score=2.0, reason: Meta の大規模投資・雇用プログラム発表)
[GNews: Llama/Meta AI (Axios)] Meta builds its AI data center worker pipeline (score=2.0, reason: Meta の大規模投資・雇用プログラム発表)
[GNews: Llama/Meta AI (WSJ)] Meta Launches ‘Workforce Academy’ to Train Workers to Build Data Centers (score=2.0, reason: Meta の大規模投資・雇用プログラム発表)
[GNews: Llama/Meta AI (Best Buy Corporate)] Meta Lab @ Best Buy to open in more than 50 stores (score=2.0, reason: Meta と Best Buy の提携、リテール展開)
[GNews: Llama/Meta AI (Reuters)] Meta funds skilled trades jobs program for AI data center buildout (score=2.0, reason: Meta の大規模投資・雇用プログラム発表)
[GNews: Llama/Meta AI (WAFB)] Meta announces Baton Rouge as pilot location for AI job training program (score=2.0, reason: Meta の大規模投資・雇用プログラム発表)
[GNews: Llama/Meta AI (10TV)] Columbus named one of four cities to host Meta workforce academy (score=2.0, reason: Meta の大規模投資・雇用プログラム発表)
[GNews: Llama/Meta AI (Fox Business)] Meta launches $115M skilled trades academy with guaranteed jobs for graduates in 4 states (score=2.0, reason: $115M 投資、大規模雇用プログラム)
[GNews: Llama/Meta AI (UploadVR)] Meta's Muse Spark AI Model Replaces LLama 4 On Its Smart Glasses (score=2.0, reason: Meta スマートグラス新AI モデル発表)
[GNews: Llama/Meta AI (NBC4 WCMH-TV)] Ohio to host Meta AI infrastructure bootcamp (score=2.0, reason: Meta の大規模投資・雇用プログラム発表)
[GNews: Llama/Meta AI (Fox 59)] Meta to train workers to build data centers, other AI infrastructure in Indiana (score=2.0, reason: Meta の大規模投資・雇用プログラム発表)
[GNews: Llama/Meta AI (Social Media Today)] Meta walks back facial recognition in Meta AI app (score=2.0, reason: 顔認識機能削除、プライバシー対応)
[GNews: Llama/Meta AI (WWLTV.com)] Meta brings free AI workforce training program to Baton Rouge (score=2.0, reason: Meta の大規模投資・雇用プログラム発表)
[GNews: Llama/Meta AI (Road to VR)] Meta Plans New Best Buy Pop-ups to Unify Demos of AI Glasses and VR Headsets (score=2.0, reason: Meta の小売戦略・AI眼鏡プロモ)
[GNews: Llama/Meta AI (NBC Bay Area)] Meta is using AI to figure out how old you are (score=2.0, reason: Meta の年齢推定AI・プライバシー議論)
[GNews: Llama/Meta AI (Chain Store Age)] Best Buy to open immersive in-store shops dedicated to Meta AI glasses, VR headsets (score=2.0, reason: Meta の小売展開・AI眼鏡デモ)
[GNews: Llama/Meta AI (meta.com)] Meta Lab Brings Hands-On AI and VR Experiences to Best Buy Stores Nationwide (score=2.0, reason: Meta Lab の公式発表・小売戦略)
[GNews: Llama/Meta AI (The Advocate)] Meta to launch first AI infrastructure workforce training in Baton Rouge (score=2.0, reason: Meta の AI 人材育成プログラム)
[GNews: 生成AI日本 (GIGAZINE)] Appleの画像生成AIが大幅強化されて高品質生成や画像編集が可能に (score=2.0, reason: Apple の画像生成 AI 強化)
[GNews: 生成AI日本 (毎日新聞)] プレスリリース：Spectee、経産省・NEDOによる生成AI基盤モデル開発プロジェクト「GENIAC」に採択（PR TIMES） (score=2.0, reason: Spectee・GENIAC プロジェクト採択)
[GNews: 生成AI日本 (自治体通信Online)] 【生成AI・面談支援】生活保護の「訪問面談」にAIを導入、住民に寄り添う対応が可能に (score=2.0, reason: 公共サービスへのAI活用の実例、社会的意義)
[GNews: 生成AI日本 (media-innovation.jp)] 日本経済新聞社、Salesforce上で法人向け生成AI「NIKKEI KAI」を活用できる「NIKKEI KAI Agent for Salesforce」を提供開始 (score=2.0, reason: 既存プラットフォームへの生成AI統合、実用化例)
[GNews: 生成AI日本 (AINOW)] 【2026年最新】生成AIの導入に使える補助金5選！申請手順も解説 (score=2.0, reason: 実務的な補助金情報、企業導入支援)
[GNews: 生成AI日本 (kyoto-su.ac.jp)] 生成AIが言語教育にもたらす変化とは？－マカオ理工大学・Mark Feng Teng准教授による特別講演を開催しましたー (score=2.0, reason: 教育分野での生成AI活用研究事例)
[GNews: 生成AI日本 (Amazon Web Services (AWS))] 週刊生成AI with AWS – 2026/6/1 週 | Amazon Web Services ブログ (score=2.0, reason: AWS公式ブログ、主要クラウド企業の動向)
[GNews: 生成AI日本 (ICT教育ニュース)] みんがく、教育向け生成AI「スクールAI」が「個別指導学院サクシード」の全教室に導入 (score=2.0, reason: 教育市場での生成AI導入拡大事例)
[HN AI] AI is slowing down (score=2.0, reason: AI進展の減速に関する業界議論)
[HN AI] SDSU Wired Its Dorms with 1,300 AI Cameras Without Telling Students (score=2.0, reason: AIカメラ導入の倫理・プライバシー問題)
[r/MachineLearning] Open image generation models are closer to closed-source quality than this sub thinks [D] (score=2.0, reason: オープン画像生成モデルの実用性評価)
[r/MachineLearning] Why I stopped using semantic embeddings for tool selection and switched back to BM25 [D] (score=2.0, reason: 実践的なツール選択手法の比較)
[r/LocalLLaMA] Xiaomi just claimed 1,000+ tps on a 1T model using a standard 8-GPU server (score=2.0, reason: 大規模言語モデルの推論速度向上)
[r/LocalLLaMA] Was BitNet a dead end? What happened to ternary LLMs? (score=2.0, reason: 三値量子化LLMの研究動向)
[r/LocalLLaMA] Luce Spark: a 35B MoE on a 16 GB GPU, without the offload tax (score=2.0, reason: 効率的なMoEモデルの実装技術)
[r/LocalLLaMA] I bundled a fully local LLM inside my Unity game. No internet, no cloud, no API key. The conversation is the gameplay. (score=2.0, reason: ゲーム内ローカルLLM統合の実装例。実用的だが個別プロジェクト)
[r/LocalLLaMA] mtp: support for gemma-4 E2B and E4B assistants by max-krasnyansky · Pull Request #24282 · ggml-org/llama.cpp (score=2.0, reason: llama.cpp の Gemma-4 対応。技術的進展だが既存プロジェクト内)
[r/LocalLLaMA] Qwen3.6-35B-A3B tool calling benchmark: ByteShape vs. Unsloth GGUFs, KV cache quants & long context performance (score=2.0, reason: モデル性能ベンチマーク比較。興味深いが特定モデル限定)
[r/LocalLLaMA] Pipeline parallelism in llama.cpp may be wasting your VRAM (score=2.0, reason: llama.cpp 最適化。技術的改善だが限定的インパクト)
[r/LocalLLaMA] kv-cache : avoid kv cells copies by ggerganov · Pull Request #24277 · ggml-org/llama.cpp (score=2.0, reason: KV キャッシュ最適化マージ。技術進展だが実装レベル)
[r/LocalLLaMA] [3090] Gemma4 QAT + MTP quick TPS numbers [TLDR 1.2-1.8x better] (score=2.0, reason: Gemma-4 性能改善報告。実用的だが定量評価が限定的)
[r/LocalLLaMA] An Implementation of NanoQuant: A flexible binary quantization method (score=2.0, reason: 量子化手法の実装。技術的興味だが応用限定)
[r/LocalLLaMA] OpenEnv is now owned by HF, Torch, Prime Intellect, Unsloth, Modal, Mercor, and more! Use it for training agents. (score=2.0, reason: HuggingFace による OpenEnv 買収・共同所有。企業ニュースだが詳細不足)
[r/LocalLLaMA] I fine-tuned Parakeet 0.6B for medical ASR — open weights, local Mac/CUDA/CPU (score=2.0, reason: 医療 ASR ファインチューン公開。実用例だがニッチドメイン)
[r/singularity] Intresting! Gemini 3.1 has strongest world knowledge but still choose to be lazy (score=2.0, reason: Gemini 3.1 動作分析。主要モデルだが限定的考察)
[r/singularity] FrontierCode: a coding eval that raises the bar for difficulty & quality. (score=2.0, reason: Cognition の新型コーディング評価ベンチマーク。話題性あり)
[r/singularity] Financial Times: New AI espionage powers trigger Putin camera scare | Russia paused surveillance system after killing of Iran’s Supreme Leader exposed how AI can be used on CCTV data to target enemies (score=2.0, reason: AI監視技術の地政学的影響)
[r/singularity] The AheadForm V1 humanoid robot body design is being gradually disclosed: Its skin is magnetically attached, so it can be easily removed (score=2.0, reason: ヒューマノイドロボット開発進展)
[r/singularity] Chrome team ships the most ever security vulnerability fixes in a release - after another record last month (score=2.0, reason: AI搭載セキュリティ脆弱性検出の実用化)
[r/singularity] SpaceX has just revealed it's first AI satellite design (score=2.0, reason: SpaceX AI衛星設計の展開)
[r/singularity] Xiaomi achieves 1000+t/s on 8x commodity GPU cluster with 1T weights model (score=2.0, reason: 大規模モデル推論最適化の技術成果)
[r/singularity] ELI5: why is google paying so much more for spacex compute than anthropic? (score=2.0, reason: 大手企業のGPU調達戦略比較分析)

⚪ low (119件)

[HuggingFace Papers] SoCRATES: Towards Reliable Automated Evaluation of Proactive LLM Mediation across Domains and Socio-cognitive Variations — Taewon Yun, Hyeonseong Park, Jeonghwan Choi 👍43 (score=1.4, reason: LLM評価フレームワーク。調停領域)
[HuggingFace Papers] GENEB: Why Genomic Models Are Hard to Compare — Daria Ledneva, Mikhail Nuridinov, Denis Kuznetsov 👍42 (score=1.4, reason: ゲノムモデル評価。生物学特化)
[HuggingFace Papers] MMAE: A Massive Multitask Audio Editing Benchmark — Ziyang Ma, Ruiqi Yan, Ruiyang Xu 👍39 (score=1.4, reason: オーディオ編集ベンチマーク、特定分野向け)
[HuggingFace Papers] AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution Customization — Yu Li, Menghan Xia, Gongye Liu 👍24 (score=1.2, reason: 特定ドメイン限定の世界シミュレーション研究)
[HuggingFace Papers] Direct 3D-Aware Object Insertion via Decomposed Visual Proxies — Jingbo Gong, Yikai Wang, Yushi Lan 👍22 (score=1.2, reason: 画像合成技術。ビジョンタスク特化)
[HuggingFace Papers] UniSHARP: Universal Sharp Monocular View Synthesis — Meixi Song, Dizhe Zhang, Hao Ren 👍13 (score=1.1, reason: ビュー合成の拡張、画像処理特定分野)
[HuggingFace Papers] Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them — Woojung Han, Seil Kang, Youngjun Jun 👍12 (score=1.1, reason: ビデオ拡散モデル最適化。物理制約)
[HuggingFace Papers] LIMMT: Less is More for Motion Tracking — Yu Guan, Zekun Qi, Chenghuai Lin 👍12 (score=1.1, reason: モーション追跡の最適化、特定タスク向け)
[HuggingFace Papers] PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams — Fuqiang Wang, Song Tan, Zheng Guo 👍8 (score=1.1, reason: 論文推薦システム、限定的な応用)
[HuggingFace Papers] SPACENUM: Revisiting Spatial Numerical Understanding in VLMs — Jianshu Zhang, Yijiang Li, Huifeixin Chen 👍5 (score=1.1, reason: VLM性能測定。特定タスク評価)
[HuggingFace Papers] Almieyar-Oryx-BloomBench: A Bilingual Multimodal Benchmark for Cognitively Informed Evaluation of Vision-Language Models — Mohammad Mahdi Abootorabi, Omid Ghahroodi, Anas Madkoor 👍4 (score=1.0, reason: 言語固有のVLM評価ベンチマーク)
[HuggingFace Papers] HarnessForge: Joint Harness and Policy Evolution for Adaptive Agent Systems — Mingju Chen, Can Lv, Guibin Zhang 👍4 (score=1.0, reason: LLMエージェント適応。特定応用)
[HuggingFace Papers] When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges — Parth Darshan, Abhishek Divekar 👍3 (score=1.0, reason: プロンプト最適化の特定問題の分析)
[HuggingFace Papers] Entropy as a Structural Prior: How a Log-Barrier on DiT Belief Space Drives Musical Diversity and Development — Zixi Li, Youzhen Li 👍2 (score=1.0, reason: 生成モデル損失関数。音楽生成特化)
[HuggingFace Papers] ECI_{sem}: Semantic Residual Effective Contrastive Information for Evaluating Hard Negatives — Aarush Sinha, Rahul Seetharaman, Aman Bansal 👍1 (score=1.0, reason: 検索システムのハード負例選択手法)
[HuggingFace Papers] Measuring Model Robustness via Fisher Information: Spectral Bounds, Theoretical Guarantees, and Practical Algorithms — Chong Zhang, Xiang Li, Jia Wang 👍1 (score=1.0, reason: ロバストネス評価理論。基礎研究)
[HuggingFace Papers] Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic Evaluation — Zixuan Jiang, Yanqiao Zhu, Peng Wang 👍1 (score=1.0, reason: 音声認識応用。HCI領域)
[HuggingFace Papers] Parametric Social Identity Injection and Diversification in Public Opinion Simulation — Hexi Wang, Yujia Zhou, Bangde Du 👍1 (score=1.0, reason: LLM応用の特定シナリオ、実用性低い)
[HuggingFace Papers] Regret Minimization with Adaptive Opponents in Repeated Games — Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu 👍1 (score=1.0, reason: ゲーム理論の理論研究。AI応用との直接的関連性薄い。)
[arXiv:cs.AI] Auditable Graph-Guided Root Cause Analysis for Kubernetes Incidents — Anastasiia Kuvshinova, Seungmin Jin (score=1.0, reason: Kubernetes診断システム、AIへの関連性が限定的)
[arXiv:cs.CL] Detection and Interpretability Analysis of Quotation Errors by Large Language Models — Bei Huang, Yingyi Zhang, Shenghao Huang (score=1.0, reason: LLMの引用エラー分析、特定現象分析に留まる)
[arXiv:cs.CL] Titans-as-a-Layer: Test-Time Memory for Conversational Speech Emotion Recognition — Daniel Chen, Qicong Hu, Yang Xiao (score=1.0, reason: 音声感情認識の小改良、特定ドメイン限定)
[arXiv:cs.CV] OmniCap-IF: Benchmarking and Improving Instruction Following Abilities for Omni-Video Captioning — Jiahao Wang, An Ping, Yanghai Wang (score=1.0, reason: マルチモーダルキャプション生成、応用特定的)
[arXiv:cs.CV] Towards Accurate Emotion-Attributed Video Captioning via Fine-grained Emotion-Cause Pair Extraction — Weidong Chen, Cheng Ye, Zhendong Mao (score=1.0, reason: 感情付きビデオキャプション、ニッチなタスク)
[arXiv:cs.CV] When Video Misreads: Closed-Loop Distillation of Reading Heuristics for Exploratory Manipulation Trace QA — Haizhou Ge, Yufei Jia, Yue Li (score=1.0, reason: 操作トレース QA システム、特定タスク限定)
[arXiv:cs.CV] NGram-MoSE: Efficient Remote Sensing Super-Resolution via N-Gram Context and Mixture-of-Experts — Yun-Hsuan Huang, Trong-An Bui, Chih-Hung Chuang (score=1.0, reason: リモセン超解像、応用特定的で汎用性低い)
[arXiv:cs.LG] How Much Capacity Does EEG Denoising Need? Ultra-Compact Networks reveal Benchmark Saturation and Metric-Utility Gap — Jasmeet Singh Bindra, Siddharth Panwar, Shubhajit Roy Chowdhury (score=1.0, reason: EEG除去モデル、バイオメディカル特定)
[arXiv:cs.LG] Improving the sharpness in neural network-based parametric post-processing of ensemble forecasts — Ágnes Baran, Máté Mihalina (score=1.0, reason: 気象予報の統計後処理、応用特定的)
[arXiv:cs.LG] Convolutional Sparse Coding via the Locally Competitive Algorithm on Loihi 2 — Geoffrey Kasenbacher, Daniel Ruepp, Gerrit A. Ecke (score=1.0, reason: ニューロモルフィックハードウェア実装、ニッチな応用)
[arXiv:cs.HC] Comparing Controller-Free Pointing Techniques Across Depth for 2D Selection in Augmented Reality — Samiha Sultana, J. Felipe Gonzalez, Robert J. Teather (score=1.0, reason: AR インタラクション評価、UI/UX特定)
[arXiv:cs.HC] CritLens: Visual Analytics for Criteria Discovery in Review-Based Decision Making — Hongjia Wu, Shuai Zhou, Hongxin Zhang (score=1.0, reason: 可視化分析システム、ビジネスツール的)
[arXiv:cs.MA] Quantitative Promise Theory: Intentionality and Inference in Autonomous Agents — Mark Burgess (score=1.0, reason: 理論的研究、応用性不明)
[arXiv:stat.ML] CP-factorization for high dimensional tensor time series and double projection iterations — Jinyuan Chang, Guanglin Huang, Qiwei Yao (score=1.0, reason: テンソル分解の数学的改良に限定)
[arXiv:stat.ML] Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement — Abdul Moeed, Stefan Schrod, Martin Rohbeck (score=1.0, reason: 生物学的応用、一分野に特化)
[arXiv:stat.ML] Nonparametric undirected graphical model selection using diffusion models — Hyeok Kyu Kwon, Myeonggu Kang, Minwoo Chae (score=1.0, reason: グラフモデル選択の理論的進展)
[arXiv:stat.ML] LOTTERY: Learning from Reference-Only Samples in Two-Sample Testing under Size Asymmetry — Xunye Tian, Zhijian Zhou, Liuhua Peng (score=1.0, reason: 統計的仮説検定の改良)
[HuggingFace Papers] How Far Can Chord-Symbol Time-Series Adaptation Carry Genre Identity? Capabilities and Boundaries in Multi-Genre Chord-Symbol Modeling — Jinju Lee (score=1.0, reason: 音楽和声モデリング。ドメイン特化)
[TechCrunch AI] Mercor’s Brendan Foody calls out Sequoia over ‘dual-pricing’ valuation tricks (score=1.0, reason: VC業界のバリュエーション問題。AI関連性が薄い。)
[TechCrunch AI] As OpenAI files for IPO, Sam Altman’s eye-scanning company is doing layoffs, report says (score=1.0, reason: Sam Altman別会社のニュース。OpenAIコア事業と関連薄い。)
[TechCrunch AI] Apple’s WWDC AI demos looked more real after $250M false ad settlement (score=1.0, reason: Apple広告問題の報道。AI技術とは関連性薄い。)
[TechCrunch AI] Apple plays catch-up at WWDC (score=1.0, reason: Apple WWDCの一般的な製品改善紹介。AI関連性が不明確。)
[TechCrunch AI] Apple’s Image Playground doesn’t suck anymore (score=1.0, reason: Apple Image Generatorの改良。既存機能の改善版。)
[TechCrunch AI] Apple’s Photos app is getting new AI editing features (score=1.0, reason: Photosアプリの画像編集AI機能。既存アプリへの追加。)
[TechCrunch AI] Apple gives Siri its own dedicated app (score=1.0, reason: Siriの独立アプリ化。UI/UX変更で技術的ブレークスルーなし。)
[TechCrunch AI] Apple is fixing the headache of splitting the bill with its new Siri in Camera feature (score=1.0, reason: Siriカメラ機能の実用例。単一の機能追加。)
[TechCrunch AI] Amazon now lets you design custom merch using AI (score=1.0, reason: Amazon Alexaマーチデザイン機能。既存サービスの拡張。)
[TechCrunch AI] WWDC 2026: What to expect, from Siri’s highly anticipated revamp to Apple Intelligence and iOS 27 (score=1.0, reason: WWDC 2026プレビュー。詳細不足の事前告知記事。)
[WIRED AI] Momfluencers Are Pitching AI as a Better ‘Coparent’ Than Men (score=1.0, reason: 社会現象、AI関連性薄い)
[GNews: Anthropic/Claude (KDnuggets)] Anthropic’s Complete Guide to Claude Skills Building (score=1.0, reason: 教育記事、既知内容の説明)
[GNews: Anthropic/Claude (The Washington Post)] Opinion | Anthropic might be the most powerful company in the world (score=1.0, reason: オピニオン記事、事実性低い)
[GNews: Anthropic/Claude (The New Stack)] Why Anthropic just doubled Claude Cowork limits at no charge (score=1.0, reason: 製品アップデート、小ニュース)
[GNews: Anthropic/Claude (observer.com)] Anthropic Philosopher Amanda Askell Says Claude May Replace Her Job One Day (score=1.0, reason: 個人的見解、ニュース価値低い)
[GNews: Anthropic/Claude (SecurityBrief Australia)] Cohesity gains access to Anthropic's Claude for security (score=1.0, reason: パートナーシップ、小規模動向)
[GNews: Anthropic/Claude (Crypto Briefing)] Boris Cherny of Anthropic discusses Claude Code’s flexible AI workflows (score=1.0, reason: インタビュー、既知製品の説明)
[GNews: Anthropic/Claude (TechAfrica News)] Saudi Startup Velents Becomes First Arab Company to Join Anthropic’s Claude Partner Network (score=1.0, reason: 地域パートナー発表、小ニュース)
[GNews: Anthropic/Claude (Let's Data Science)] Anthropic Doubles Claude Cowork Usage Limits (score=1.0, reason: 利用制限変更の利用規約情報)
[GNews: Anthropic/Claude (flyingpenguin.com)] Executive Summary for Claude Mythos Project Glasswing: June 2026 Verification Status (score=1.0, reason: 未確認の2026年プロジェクト情報)
[GNews: Anthropic/Claude (Crypto Briefing)] Notion restores access to Anthropic models after service disruption (score=1.0, reason: Notion×Anthropic統合の一時停止)
[GNews: Anthropic/Claude (Let's Data Science)] Amanda Askell Says Claude Could Replace Her Role (score=1.0, reason: 個人の見方、AI置き換え論)
[GNews: AI partnership (Industrial Cyber)] GDIT expands Splunk partnership to deliver AI-driven cybersecurity capabilities for federal agencies (score=1.0, reason: 既存パートナーシップの拡張施策)
[GNews: AI partnership (Stock Titan)] On a SoCal mountaintop, new edge AI system targets wildfire danger (score=1.0, reason: 地域限定の実用アプリ、業界への影響小)
[GNews: AI partnership (Fast Company)] Creativity is currency (score=1.0, reason: 具体的内容不明、AI関連性薄い)
[GNews: AI partnership (Biometric Update)] Zambia deepens digital sovereignty push with Huawei AI partnership (score=1.0, reason: 地政学的協業、AI技術内容不明)
[GNews: AI partnership (TMX Newsfile)] CardioComm Solutions and Predictiv AI Enter into Strategic AI Collaboration (score=1.0, reason: 小規模企業協業、業界への影響小)
[GNews: AI partnership (Business Wire)] Reading Football Club Announces AI Partnership with Stelia, Powered by NVIDIA and Lenovo (score=1.0, reason: スポーツクラブ、AI実用性低い)
[GNews: AI partnership (School News Network)] Districts collaborate to plan for AI integration (score=1.0, reason: 学区レベル、業界影響小)
[GNews: AI partnership (Business Wire)] OKI Signs Strategic Partnership Agreement with US-Based Lazarus AI (score=1.0, reason: 中小企業提携、業界への影響小)
[GNews: AI partnership (WebWire)] HearstLab & Fitch Learning Take Major Stake in Founderz To Launch Strategic AI Partnership To Help Close Industry Skills Gap (score=1.0, reason: スキルギャップ、AI技術内容不明)
[GNews: AI partnership (Yahoo Finance)] Thian Ong Financial Academy Participates in Science x AI Summit 2026, Exploring Future AI Collaboration Opportunities (score=1.0, reason: 学習サービス、具体性不足)
[GNews: AI partnership (Yahoo Finance)] Synopsys CEO on AI outlook, Nvidia partnership (score=1.0, reason: CEO見通し、具体的発表不明)
[GNews: AI partnership (The Pharma Letter)] Sanofi expands AI ambitions through new Owkin collaboration (score=1.0, reason: 特定業界の企業パートナーシップ)
[GNews: AI partnership (Asia News Network)] VinDynamics and Skild AI form strategic partnership to advance humanoid ROBOTICS (score=1.0, reason: ロボティクス企業の限定的提携)
[GNews: AI funding (The Jerusalem Post)] Cyber startup A Security raises $37m. to battle AI-powered hackers (score=1.0, reason: インデックス6と同一内容の重複)
[GNews: AI funding (Indiatimes)] JumpStart secures Series C from Cool Japan Fund for AI vending expansion (score=1.0, reason: AI自販機企業の限定的融資)
[GNews: Llama/Meta AI (Yahoo Finance)] Italy regulator drops investigation into Meta's WhatsApp AI bot (score=1.0, reason: 規制調査終了、影響限定的)
[GNews: Llama/Meta AI (PYMNTS.com)] Meta Partners Best Buy to Showcase AI and VR Products (score=1.0, reason: 小売パートナーシップ、既知情報)
[GNews: Llama/Meta AI (Trefis)] Is the Market Underestimating Meta Stock’s AI Payoff (score=1.0, reason: 株式分析、推測的評論)
[GNews: 生成AI日本 (株探)] 生成AI普及で需要急拡大、「データセンター冷却」で浮上する妙味株6選＜株探トップ特集＞ | 特集 - 株探ニュース (score=1.0, reason: データセンター冷却の株式銘柄解説)
[GNews: 生成AI日本 (Yahoo!ニュース)] 生成AIツールは「4種類以上」の利用でユーザーの不満が急増する（TechTargetジャパン） (score=1.0, reason: 生成AI ツール利用調査・ユーザー満足度)
[GNews: 生成AI日本 (キーマンズネット)] 組織での生成AI利用は80.9％、ただしコア業務で成果実感は2割未満 (score=1.0, reason: 組織内 AI 利用調査・統計データ)
[GNews: 生成AI日本 (沖縄タイムス社)] 「生成AIの活用状況に関する実態調査」を公開 (score=1.0, reason: 生成AI 活用実態調査の公開)
[GNews: 生成AI日本 (JBpress)] 【やさしく解説】生成AI「Mythos（ミュトス）」は世界の何を変えたのか？サイバー攻撃の脅威だけではないインパクト (score=1.0, reason: AI モデル Mythos の解説・曖昧)
[GNews: 生成AI日本 (ｄメニューニュース)] 買い物の決め手はクチコミより生成AI？「最終判断もAIに任せたい」が6割【博報堂調べ】（Web担当者Forum） (score=1.0, reason: 消費者調査・買い物決定と AI)
[GNews: 生成AI日本 (株式会社クラダシ)] クラダシ、生成AI「Claude」を全社展開し、特有業務の自動化を図る～AI活用基本ポリシーも策定・対外公表 (score=1.0, reason: 企業の Claude 導入事例)
[GNews: 生成AI日本 (日経CNBC online)] 生成AIから応用分野が拡大半導体の役割と技術革新の重要性高まる (score=1.0, reason: 生成AI と半導体の一般解説)
[GNews: 生成AI日本 (農業とITの未来メディア)] エクサ、農業法人アグリマインドと生成AIの実証プロジェクト実施、経営者の“暗黙知”をAIで資産化 (score=1.0, reason: 農業での生成AI 実証・特定分野)
[GNews: 生成AI日本 (デジタルクロス)] 鴻池運輸、AI技術を使う業務プロセス構築に向けた全社基盤を本格稼働 (score=1.0, reason: 個別企業の導入事例、業界全体への影響小)
[GNews: 生成AI日本 (ダイヤモンド・チェーンストアオンライン)] 流通、小売の生成AI活用を促進するHP POS製品群とVINX「Retail Brain」 (score=1.0, reason: 特定業界の導入事例、限定的な話題)
[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～野手編～』公開！ (score=1.0, reason: スポーツ団体の広報動画、AI関連性薄い)
[GNews: 生成AI日本 (日経クロステック)] AI時代、Wikipediaの価値はより高まる人が主役の原則をITで後押し (score=1.0, reason: Wikipedia社説、AI時代への一般的な考察)
[GNews: 生成AI日本 (radionikkei.jp)] 5「最新の生成AI連携とフィジカルAIの可能性」｜佐田志歩が知りたい！現場DX最前線｜ビジネス (score=1.0, reason: ラジオ番組情報、AI関連性不明確)
[GNews: 生成AI日本 (日本経済新聞)] 愛知県経営者協会、中小企業に生成AI入門書製造業の人手不足に対応 (score=1.0, reason: 地方産業団体の啓発活動、限定的な話題)
[GNews: 生成AI日本 (日経メディカル)] AIネイティブ世代との感覚の“ズレ”、若手医師による患者情報のうっかり入力 (score=1.0, reason: 医療現場のセキュリティ課題、特定ドメイン)
[HN AI] Ask HN: What are tools you have made for yourself since the advent of AI? (score=1.0, reason: HNの汎用的な議論スレッド、特定話題なし)
[r/MachineLearning] STOP racist posts about Chinese researchers [D] (score=1.0, reason: 削除済みの不適切投稿、議論対象なし)
[r/MachineLearning] Should ArXiv backtrack endorsement? [D] (score=1.0, reason: arXiv推奨システムの内部議論)
[r/MachineLearning] Université Paris Saclay or TU Delft for Applied Mathematics Masters [R] (score=1.0, reason: 個人的な大学院選択相談)
[r/MachineLearning] Software and ops skills for data scientists[D] (score=1.0, reason: データサイエンティストのスキル開発論)
[r/MachineLearning] How to find research opportunities in area of interest? [D] (score=1.0, reason: 学部生の研究機会探し相談)
[r/MachineLearning] ICML rejected paper visibility [D] (score=1.0, reason: 学会査読プロセスの手続き質問)
[r/MachineLearning] M5 air 24gb or M5 pro 16gb for swe + ml ? [D] (score=1.0, reason: Mac機種選択の個人相談)
[r/LocalLLaMA] When every other post is an AI generated benchmark report, a question about the best model, or a slop-coded application or engine that pretends to be groundbreaking (score=1.0, reason: コミュニティの投稿品質への愚痴)
[r/LocalLLaMA] Me: Arguing with an AI bot who just posted something on this sub about Llama 3.1. (score=1.0, reason: AIボットの行動に関する雑談)
[r/LocalLLaMA] Gemma 4 Chat Template now has preserve thinking (score=1.0, reason: Gemmaモデルのマイナー更新)
[r/LocalLLaMA] Quick note on the QAT of recent (score=1.0, reason: 量子化技術の細部比較)
[r/LocalLLaMA] LocalLLaMA post tier list (score=1.0, reason: コミュニティの投稿品質ランキング)
[r/LocalLLaMA] Friends from the localllama community, if you love local llm, don't participate in the IPO (spaceX, OpenAI, Anthropic) (score=1.0, reason: 個人的意見表明。AI 関連性が薄い)
[r/LocalLLaMA] mtmd : add video input support by ngxson · Pull Request #24269 · ggml-org/llama.cpp (score=1.0, reason: 動画入力機能追加。限定的なAPI拡張)
[r/LocalLLaMA] Sam Altman's Eye-Scanning Startup Lays Off Staff (score=1.0, reason: Sam Altman スタートアップ。AI 関連性が薄い)
[r/LocalLLaMA] What is your best coding model on a DGX Spark? (score=1.0, reason: 個別セットアップ質問。コミュニティスレッド)
[r/LocalLLaMA] What harness are you guys using and for what use case? (score=1.0, reason: 一般的なツール選定質問。スレッド型)
[r/LocalLLaMA] what’s was your local daily driver for coding last week? (score=1.0, reason: ユーザー投票。トレンド参考にはなるがニュース性なし)
[r/LocalLLaMA] Gemma4_31b_fp8 keeping up with Sonnet_4.6_medium in my harness. (score=1.0, reason: モデル比較報告。個別テスト結果)
[r/LocalLLaMA] Nex N2 has a funny "few words do trick" reasoning (score=1.0, reason: モデル動作観察。個別印象)
[r/singularity] Jeff Bezos Is Funding a Wild Hunt for the Brain’s ‘Core Algorithm’ (score=1.0, reason: Jeff Bezos の脳科学投資。AI 関連性が薄い)
[r/singularity] If CoT was only a scaffold, does AGI require memory-native reasoning instead of visible thought traces? (score=1.0, reason: 理論的な推論メカニズム考察)
[r/singularity] I’m in danger (score=1.0, reason: 個人的呟き、AI関連性不明)
[r/singularity] OpenAI Says AI Should Be for Everyone. Not Just the Elite. Do You Buy It? (score=1.0, reason: OpenAIの一般的な価値観表明)
[r/singularity] Obsession Movie + AI GF: their effect on society (score=1.0, reason: AI恋愛シミュレータの社会影響考察)