全候補一覧 - 2026-06-07

全 181 件: high=29, medium=75, low=77 内訳: {'hf_paper': 50, 'blog': 7, 'google_news': 72, 'hacker_news': 5, 'reddit': 47}

🔴 high (29件)

[HuggingFace Papers] LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs — Gianluca Barmina, Peter Schneider-Kamp, Lukas Galke Poech 👍7 (score=3.1, reason: LLMの学習データ漏洩リスク評価は規制・安全性に直結する重要な研究)
[HuggingFace Papers] The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs — Xu Wan, Speed Zhu, Jianwei Cai 👍6 (score=3.1, reason: 推論コスト最適化の経済分析。LLM実務的課題への直結)
[HuggingFace Papers] World-Language-Action Model for Unified World Modeling, Language Reasoning, and Action Synthesis — Yi Yang, Zhihong Liu, Siqi Kou 👍5 (score=3.0, reason: 具体化AIの統一基盤モデル。ロボティクス・エンボディドAIの大きな進展)
[HuggingFace Papers] SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces — Qi Hu, Yifeng Tang, Qinghua Wang (score=3.0, reason: LLMコーディングエージェントの安全性評価、実用重要)
[TechCrunch AI] OpenAI unveils Lockdown Mode to protect sensitive data from prompt injection attacks (score=3.0, reason: OpenAIの重要なセキュリティ機能発表)
[TechCrunch AI] The Trump administration might take an equity stake in OpenAI (score=3.0, reason: 米政府とOpenAIの資本提携協議)
[GNews: Anthropic/Claude (Pulse 2.0)] Snowflake And Anthropic Accelerate Enterprise AI Adoption As Demand For Governed AI Grows (score=3.0, reason: 主要企業の戦略的提携発表)
[GNews: Anthropic/Claude (KuCoin)] Anthropic's IPO Filing Signals a New Era for AI Investing: Can the Claude Maker Become the First Trillion-Dollar Public AI Company? (score=3.0, reason: Anthropic IPO申請、業界転機)
[GNews: Anthropic/Claude (Decrypt)] Claude Code Vulnerability Could Let Attackers Steal Credentials From GitHub, Says Microsoft (score=3.0, reason: セキュリティ脆弱性、重要警告)
[GNews: Anthropic/Claude (Cybernews)] Anthropic AI coding assistant could be tricked into revealing secrets, Microsoft warns (score=3.0, reason: セキュリティ脆弱性報告)
[GNews: Anthropic/Claude (the-decoder.com)] Elon Musk's xAI reportedly trained its coding models on Claude outputs for months before getting cut off (score=3.0, reason: xAI無断学習、知的財産問題)
[GNews: Anthropic/Claude (Let's Data Science)] Microsoft Reports Claude Code GitHub Action Credential Leak (score=3.0, reason: 認証情報漏洩の重大セキュリティ)
[GNews: Anthropic/Claude (Egypt Independent)] Anthropic files to go public in a potentially trillion-dollar debut (score=3.0, reason: Anthropic IPO申請の重要ニュース)
[GNews: AI partnership (simplywall.st)] How a US$2 Billion Generative AI RNAi Deal At Alnylam Pharmaceuticals (ALNY) Has Changed Its Investment Story (score=3.0, reason: 20億ドルの大型AI取引、医薬産業に影響)
[GNews: AI partnership (Tech Times)] Google and SpaceX Forge Landmark AI Infrastructure Partnership in Multi-Billion-Dollar Cloud Deal (score=3.0, reason: Google・SpaceX数十億ドル規模の戦略的提携)
[GNews: AI funding (CelebrityAccess)] AI Music Startup Suno Raises $400 Million at $5.4 Billion Valuation (score=3.0, reason: Suno54億ドル評価、音声AI産業の急成長)
[GNews: Llama/Meta AI (The Verge)] Meta made its own AI-generated clickbait news feed (score=3.0, reason: Meta新機能、大手企業の重大発表)
[GNews: Llama/Meta AI (Yahoo)] Hackers exploit Meta AI chatbot to breach prominent accounts (score=3.0, reason: セキュリティ脆弱性、業界への警告)
[GNews: Llama/Meta AI (Cybersecurity Insiders)] The Meta AI Instagram Hack Wasn’t About Authentication. It Was About Authorization. (score=3.0, reason: 認可バグの詳細分析、セキュリティ重要)
[GNews: Llama/Meta AI (the-decoder.com)] Meta's Hatch AI agent could cost up to $200 a month and marks its first paid AI product (score=3.0, reason: Meta初の有料AI製品、ビジネスモデル転換)
[GNews: Llama/Meta AI (MLQ.ai)] Meta Shares Drop 5.5% on Report It May Raise Tens of Billions in Equity for AI (score=3.0, reason: Meta大規模資金調達計画。AI投資の業界トレンド顕著)
[GNews: Llama/Meta AI (NDTV)] Meta AI Boss Drops "Health-First' Bombshell In Battle With OpenAI, Google And Anthropic (score=3.0, reason: Meta AI責任者の方針声明。大手AI企業間の競争戦略)
[GNews: Llama/Meta AI (Startup Fortune)] Meta makes Louisiana the new test case for AI infrastructure (score=3.0, reason: Meta AI基盤投資の地政学的展開。インフラ投資戦略)
[GNews: 生成AI日本 (ビジネス+IT)] SpaceXがGoogleにAIデータセンターを提供へ、300億ドルの大型契約を締結 (score=3.0, reason: SpaceX-Google間の300億ドル大型契約。業界に影響大)
[HN AI] Meta confirms 1000s of Instagram accounts were hacked by abusing its AI chatbot (score=3.0, reason: Meta AI悪用によるセキュリティ侵害。業界課題)
[HN AI] Police in England and Wales told to halt AI use in court statements (score=3.0, reason: 英国警察がAI使用停止。規制動向・業界影響大)
[HN AI] US House lawmakers release draft bill to prohibit state AI rules (score=3.0, reason: 米国下院のAI規制法案。重要な規制動向)
[HN AI] Meta Keeps Delaying the Release of Its New AI Model to Developers (score=3.0, reason: Metaの新AIモデル遅延。主要企業の重大動き)
[r/singularity] Mythos 5 slug briefly appeared before removal (score=3.0, reason: Claude 5リリース示唆、主要企業動向)

🟡 medium (75件)

[HuggingFace Papers] Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution — Liliana Hotsko, Yinxi Li, Yuntian Deng 👍63 (score=2.5, reason: コード言語モデルの効率化、開発効率向上)
[HuggingFace Papers] TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration — Soyeong Jeong, Jinheon Baek, Minki Kang 👍38 (score=2.4, reason: LLMエージェント能力の向上。実用性ある研究)
[HuggingFace Papers] AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints — Jiayu Liu, Cheng Qian, Zhenhailong Wang 👍36 (score=2.4, reason: LLMプランニングのベンチマーク。評価フレームワークとして有用)
[HuggingFace Papers] VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding — Lin Fu, Zheyuan Yang, Yang Wang 👍34 (score=2.3, reason: 動画理解向けマルチモーダル学習データセット)
[HuggingFace Papers] Reinforcement Learning Elicits Contextual Learning of Unseen Language Translation — Hanxu Hu, Zdeněk Šnajdr, Pinzhen Chen 👍23 (score=2.2, reason: LLMの低リソース言語翻訳能力。言語理解の知見有用)
[HuggingFace Papers] LoomVideo: Unifying Multimodal Inputs into Video Generation and Editing — Jianzong Wu, Hao Lian, Jiongfan Yang 👍21 (score=2.2, reason: 統一ビデオ生成編集モデル。マルチモーダル応用の進展)
[HuggingFace Papers] Rethinking Continual Experience Internalization for Self-Evolving LLM Agents — Jingwen Chen, Wenkai Yang, Shengda Fan 👍18 (score=2.2, reason: LLMの経験学習メカニズム。エージェント自己進化の重要テーマ)
[HuggingFace Papers] The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset — Richard Schwarzkopf, Fabian Immel, Alexander Blumberg 👍15 (score=2.1, reason: 自動運転分野の重要データセット、業界進展に寄与)
[HuggingFace Papers] Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation? — Rui Zhao, Kaiming Yang, Jifeng Zhu 👍15 (score=2.1, reason: 動画生成モデルのロボット制御応用、新分野)
[HuggingFace Papers] MAOAM: Unified Object and Material Selection with Vision-Language Models — Jaden Park, Valentin Deschaintre, Jason Kuen 👍8 (score=2.1, reason: VLMの実用的応用、画像編集タスク)
[HuggingFace Papers] AffordanceVLA: A Vision-Language-Action Model Empowering Action Generation through Affordance-Aware Understanding — Qize Yu, Jiadi You, Yuran Wang 👍7 (score=2.1, reason: VLAモデルのアクション生成、ロボティクス応用)
[HuggingFace Papers] Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM Agents — Ziyan Liu, Zhezheng Hao, Yeqiu Chen 👍6 (score=2.1, reason: 長期タスクLLMエージェントのメモリ最適化。実用性ある)
[HuggingFace Papers] Latent Reasoning with Normalizing Flows — Guancheng Tu, Xiangjun Fu, Suhao Yu 👍6 (score=2.1, reason: LLM推論改善の理論的アプローチ)
[HuggingFace Papers] AdaCodec: A Predictive Visual Code for Video MLLMs — Haowen Hou, Zhen Huang, Zheming Liang 👍4 (score=2.0, reason: ビデオMLLMの圧縮技術。実用性あるが既存の改良)
[HuggingFace Papers] SePO: Self-Evolving Prompt Agent for System Prompt Optimization — Wangcheng Tao, Han Wu, Weng-Fai Wong 👍4 (score=2.0, reason: プロンプト自動最適化。エージェント能力向上の実用的手法)
[HuggingFace Papers] Flash-WAM: Modality-Aware Distillation for World Action Models — Arman Akbari, Ci Zhang, Arash Akbari 👍4 (score=2.0, reason: ロボット制御向け拡散モデルの効率化技術)
[HuggingFace Papers] MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery — Shangheng Du, Xiangchao Yan, Jinxin Shi 👍4 (score=2.0, reason: LLMエージェントによるML自動化フレームワーク)
[HuggingFace Papers] Learning Geometric Representations from Videos for Spatial Intelligent Multimodal Large Language Models — Haibo Wang, Lifu Huang 👍3 (score=2.0, reason: MLLMの3D空間認識向上、重要な研究課題)
[HuggingFace Papers] The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models — Liuyuan Wen, Xun Zhu, Lihao Huang 👍3 (score=2.0, reason: LLMの算術能力の基礎分析、理論的興味深い)
[HuggingFace Papers] MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understanding — Qian Kou, Xiaofeng Shi, Yulin Li 👍3 (score=2.0, reason: MLLMの機械図面理解ベンチマーク、産業応用)
[HuggingFace Papers] Towards Truly Multilingual ASR: Generalizing Code-Switching ASR to Unseen Language Pairs — Gio Paik, Hyunseo Shin, Soungmin Lee 👍3 (score=2.0, reason: 多言語ASRの技術進展。実用性あるが特定タスク)
[HuggingFace Papers] Benchmark Everything Everywhere All at Once — Shiyun Xiong, Dongming Wu, Peiwen Sun 👍2 (score=2.0, reason: ベンチマーク統一の重要提案、評価手法改善)
[HuggingFace Papers] Revising Context, Shifting Simulated Stance: Auditing LLM-Based Stance Simulation in Online Discussions — Xinnong Zhang, Wanting Shan, Hanjia Lyu 👍2 (score=2.0, reason: LLMの社会シミュレーション能力検証、応用課題)
[HuggingFace Papers] EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management — Zherui Yang, Fan Liu, Yansong Ning 👍2 (score=2.0, reason: 自律データサイエンスエージェント。LLMエージェント進化を示す)
[HuggingFace Papers] Video2LoRA: Parametric Video Internalization for Vision-Language Models — Manan Suri, Sarvesh Baskar, Dinesh Manocha 👍2 (score=2.0, reason: ビジョン言語モデルの効率化技術)
[HuggingFace Papers] LLM Anonymization Against Agentic Re-Identification — Ziwen Li, Jianing Wen, Tianshi Li 👍1 (score=2.0, reason: LLMプライバシー・セキュリティ、実運用での課題)
[HuggingFace Papers] Multimodal Music Recommendation System using LLMs — Srikar Prabhas Kandagatla, Sreehitha R. Narayana, Chandana Magapu 👍1 (score=2.0, reason: LLMを活用した推薦システムの興味深い応用だが特定ドメイン限定)
[HuggingFace Papers] Is This Edit Correct? A Multi-Dimensional Benchmark for Reasoning-Aware Image Editing — Yixuan Ding, Wei Huang, Ruijie Quan 👍1 (score=2.0, reason: 拡散モデル画像編集の評価。視覚タスク改善の標準化)
[HuggingFace Papers] Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination — Jiasheng Zheng, Boxi Cao, Boxi Yu 👍1 (score=2.0, reason: 強化学習によるコード生成の拡張。LLMスケーリング重要研究)
[HuggingFace Papers] Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning — Ziyang Yao, Haochen Liu, Yuncheng Jiang 👍1 (score=2.0, reason: 自動運転向けビジョン-アクション推論の新手法)
[HuggingFace Papers] BRepCLIP: Contrastive Multimodal Pretraining on BRep Primitives for CAD Understanding — Muhammad Usama, Didier Stricker, Mohammad Sadil Khan (score=2.0, reason: CAD分野への3D表現学習応用、実用性あり)
[HuggingFace Papers] ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment — Qiuyu Tian, Haojie Yin, Yingce Xia (score=2.0, reason: AI研究判断支援エージェント、新規応用)
[TechCrunch AI] What to expect from WWDC 2026: Siri’s highly anticipated revamp and Apple Intelligence updates (score=2.0, reason: Apple Intelligenceの予定発表)
[TechCrunch AI] Sriram Krishnan is leaving his role as White House AI advisor (score=2.0, reason: トランプ政権のAI政策構築の動き)
[GNews: Anthropic/Claude (TechSpot)] Anthropic is blacklisted by the Pentagon and being used by the NSA at the same time (score=2.0, reason: Anthropicと米政府の複雑な関係)
[GNews: Anthropic/Claude (The Motley Fool)] Anthropic (Claude) May Be the Only $1 Trillion IPO Worth Buying (score=2.0, reason: IPO予想記事、投資観点)
[GNews: Anthropic/Claude (NDTV Profit)] Select Govt Agencies, Indian Firms Gain Access To Anthropic's Claude Mythos For Cyber Defence (score=2.0, reason: 政府機関向けサービス提供)
[GNews: Anthropic/Claude (The Times of India)] After CEO Dario Amodei's repeated warning that AI will wipe away millions of jobs, Anthropic publishes a (score=2.0, reason: CEO発言、雇用影響について)
[GNews: AI model launch (Let's Data Science)] Trump Orders Voluntary Pre-Release AI Model Reviews (score=2.0, reason: 規制政策、ビジネス影響)
[GNews: AI model launch (Yellow.com)] Tencent Hires Former OpenAI Researcher Yao Shunyu As Chief AI Scientist In AGI Push (score=2.0, reason: テンセント人材獲得、競争動向)
[GNews: AI partnership (Crypto Briefing)] Hitachi partners with Intel to enhance AI transformation in key industries (score=2.0, reason: 大手企業のAI投資動向)
[GNews: AI partnership (MSN)] Intel stock falls after landing AI partnership with Apple supplier Foxconn (score=2.0, reason: インテル提携、市場反応)
[GNews: AI partnership (cairoscene.com)] G42 & Banco Santander Explore AI Partnership for Banking (score=2.0, reason: 大手銀行とのAI提携だが規模不明確)
[GNews: AI partnership (AnewZ)] Alibaba and UEFA strike AI deal to reshape football broadcasting (score=2.0, reason: 大手企業提携だがスポーツ分野限定)
[GNews: AI partnership (Pokde.Net)] Cadence and Samsung Foundry Expand 2nm & 3D-IC Collaboration For AI Infrastructure Development (score=2.0, reason: AI基盤インフラの技術提携)
[GNews: AI partnership (AIM Media House)] Intel and Hitachi Expand AI Partnership Into Factories, Energy Systems, and Semiconductor Manufacturing (score=2.0, reason: インテル・日立の実用的AI展開)
[GNews: AI funding (Forbes)] Forbes 2026 AI 50 List | Top Artificial Intelligence Companies (score=2.0, reason: 業界ランキング、トレンド参考情報)
[GNews: AI funding (Tech Times)] Personal AI Assistant Startup Town Raises $55 Million From Andreessen Horowitz (score=2.0, reason: 5500万ドル調達、個人AI領域での進展)
[GNews: Llama/Meta AI (Investing.com)] Morgan Stanley flags four emerging products to turn Meta into an ’AI winner’ (score=2.0, reason: アナリスト予測、具体製品未発表)
[GNews: Llama/Meta AI (The Korea Herald)] [Gadget Review] Meta AI glasses bring AI to eye level (score=2.0, reason: Meta AI眼鏡レビュー、製品実装)
[GNews: Llama/Meta AI (Futurism)] Meta So Desperate for Compute That It's Building "Data Centers" That Are Just Tents Filled With AI Chips (score=2.0, reason: Meta AI投資拡大の実例。計算資源の深刻さを示唆)
[GNews: Llama/Meta AI (BetaNews)] Meta launches AI-powered Meta Business Agent for WhatsApp globally (score=2.0, reason: WhatsApp AIエージェント展開。ビジネス活用拡大)
[GNews: Llama/Meta AI (Startup Fortune)] Meta's smart glasses now carry a bigger biometric risk (score=2.0, reason: AI製品のプライバシーリスク。規制関連トレンド)
[GNews: Llama/Meta AI (Let's Data Science)] Meta AI Support Bot Enables Instagram Account Takeovers (score=2.0, reason: Meta AIのセキュリティ問題。プロダクト品質の課題)
[GNews: 生成AI日本 (観光経済新聞)] 生成AI、企業の35％が活用用途は文章作成中心、情報の正確性に懸念も (score=2.0, reason: 日本企業のAI導入率調査。市場動向データ)
[GNews: 生成AI日本 (テクノエッジ TechnoEdge)] 1B最強でペット付きなローカルAI「MiniCPM5-1B」、マルチプレイのゲーム環境をリアルタイムにAI生成するNVIDIA開発の世界モデル「γ-World」など生成AI技術5つを解説（生成AIウィークリー） (score=2.0, reason: NVIDIAの世界モデル等技術動向。最新研究紹介)
[GNews: 生成AI日本 (朝鮮日報)] 仕事のAI自動化難易度、ハーバード経営大学院が求人広告データを利用して分析 (score=2.0, reason: AI自動化の研究分析。興味深いが学術的)
[GNews: 生成AI日本 (ニュースイッチ by 日刊工業新聞社)] 乗務行路の作成時間、約3カ月から約2週間に短縮…大阪メトロがAIで最適化 (score=2.0, reason: 大阪メトロのAI実装事例。実用性あるが限定的)
[GNews: 生成AI日本 (Yahoo!ニュース)] AIが下した価値判断の責任を人間は引き受けられるのか／村上祐子氏（立教大学人工知能科学研究科教授） (score=2.0, reason: AI倫理と責任の論説。重要テーマだが学術的)
[GNews: 生成AI日本 (Yahoo!ニュース)] ＡＩを活用して授業準備や事務作業、先生の負担軽減を…福岡市教委が２２８校の全教員対象に研修始める（読売新聞オンライン） (score=2.0, reason: 教育機関のAI導入事例。実用例だが限定的)
[r/MachineLearning] Training-free graph SSL matches GCN with 5× fewer labels — live demo [P] (score=2.0, reason: Graph SSL法の新研究。興味深いが限定的)
[r/LocalLLaMA] Cohere's unreleased coding model (early access for localllama) (score=2.0, reason: Cohereの新モデル発表、ローカルLLM向け)
[r/LocalLLaMA] Another 1-click admin account takeover in pewdiepie's AI tool (language in video nsfw) (score=2.0, reason: セキュリティ脆弱性、AIツール関連)
[r/LocalLLaMA] 120 tok/s on 12GB VRAM with Gemma 4 12B QAT MTP (score=2.0, reason: Google Gemma最適化、推論性能向上)
[r/LocalLLaMA] KV cache quant benchmarks: KVarN 6-bit matches q8_0, 4-bit matches q5_0. Massive! (score=2.0, reason: KV cache量子化改善、推論最適化)
[r/LocalLLaMA] dvlt.cu: inference engine written from scratch in CUDA/C++ for NVIDIA's DVLT 3D transformer model (score=2.0, reason: 推論エンジン実装、CUDA最適化)
[r/LocalLLaMA] DeepSeek V4 Flash is amazing! (WIP llama.cpp PR #24162) (score=2.0, reason: DeepSeek V4対応拡大、llama.cpp統合)
[r/LocalLLaMA] MoQ GGUFs and GSQ: Low-Bit GGUFs Are About to Get Much Better (score=2.0, reason: 量子化形式の改善、GGUF最適化)
[r/LocalLLaMA] AA comparison of the latest local models (score=2.0, reason: ローカルモデル比較、性能評価)
[r/LocalLLaMA] QAT MTP Heads Upload + PARALLEL=2 Fix + 12B 2-slot Bench (score=2.0, reason: Gemma 4量子化版ベンチ、性能データ)
[r/LocalLLaMA] Gemma 4 QAT Q4_0 Bench on Strix Halo (score=2.0, reason: Gemma 4ローカル推論ベンチ)
[r/LocalLLaMA] Domino: Decoupling Causal Modeling from Autoregressive Drafting in Speculative Decoding (score=2.0, reason: 推論高速化技術、実用的な改良)
[r/singularity] Donald Trump, Bernie Sanders and Sam Altman are all talking about public ownership in AI (score=2.0, reason: AI規制・政策、業界影響大)
[r/singularity] A 10 million document corpus takes 31 GB of RAM as float32. turbovec fits it in 4 GB - and searches it faster than FAISS. (score=2.0, reason: ベクトル検索最適化、実用技術)
[r/singularity] Has anyone able to verify Amodei's warning that "AI could soon build itself"? We're talking about RSI (that's proto-AGI). (score=2.0, reason: Anthropic警告、AGI議論関連)

⚪ low (77件)

[HuggingFace Papers] ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time? — Woojung Song, Nalim Kim, Sangjun Song 👍42 (score=1.4, reason: ロールプレイLLMの評価。特定応用のみ)
[HuggingFace Papers] RobotValues: Evaluating Household Robots When Human Values Conflict — Jongwook Han, Hyeongjin Kim, Yohan Jo 👍23 (score=1.2, reason: ロボット評価フレームワーク。AI関連性は薄い)
[HuggingFace Papers] Personal AI Agent for Camera Roll VQA — Thao Nguyen, Krishna Kumar Singh, Donghyun Kim 👍18 (score=1.2, reason: 個人用VQA実装の限定的応用)
[HuggingFace Papers] Complexity-Balanced Diffusion Splitting — Noam Issachar, Dani Lischinski, Raanan Fattal 👍16 (score=1.2, reason: 拡散モデルの技術改良。専門分野の改善に留まる)
[HuggingFace Papers] Unsupervised Skill Discovery for Agentic Data Analysis — Zhisong Qiu, Kangqi Song, Shengwei Tang 👍10 (score=1.1, reason: データ分析エージェントの特定用途改良)
[HuggingFace Papers] OPRD: On-Policy Representation Distillation — Shenzhi Yang, Guangcheng Zhu, Bowen Song 👍6 (score=1.1, reason: 蒸留学習の既存手法改良)
[HuggingFace Papers] Imagine Before You Predict: Interleaved Latent Visual Reasoning for Video Event Prediction — Tianxiang Jiang, Linquan Wu, Sheng Xia 👍5 (score=1.1, reason: 動画予測タスクの既存手法改良)
[HuggingFace Papers] SEAOTTER: Sensor Embedded Autoencoding with One-Time Transcode for Efficient Reconstruction — Dan Jacobellis, Neeraja J. Yadwadkar 👍4 (score=1.0, reason: ロボティクス向けセンサー圧縮、特定問題解決)
[HuggingFace Papers] Towards One-to-Many Temporal Grounding — Qi Xu, Yue Tan, Shihao Chen 👍4 (score=1.0, reason: 時間グラウンディングの拡張、特定タスク改良)
[HuggingFace Papers] Trust Region Q Adjoint Matching — Yonghoon Dong, Kyungmin Lee, Changyeon Kim 👍3 (score=1.0, reason: 強化学習の特定問題解決、応用範囲限定)
[HuggingFace Papers] Absorbing Complexity: An Interaction-Native Knowledge Harness for Financial LLM Agents — Ailiya Borjigin, Igor Stadnyk, Ben Bilski 👍2 (score=1.0, reason: 金融エージェントの特定設計例、一般性限定)
[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実装への直接的応用薄い)
[HuggingFace Papers] AURA: Intent-Directed Probing for Implicit-Need Surfacing in Situated LLM Agents — Yang Li, Jiaxiang Liu, Jiang Cai 👍1 (score=1.0, reason: 特定ユースケースのエージェント設計、一般性低い)
[HuggingFace Papers] Quality-Guided Semi-Supervised Learning for Medical Image Segmentation — Kumar Abhishek, Ghassan Hamarneh 👍1 (score=1.0, reason: 医療画像分割の半教師学習。特定ドメイン限定)
[Hugging Face Blog] Five labs, five minds: building a multi-model finance drama on small models (score=1.0, reason: 小規模モデル実装例・実務的応用)
[WIRED AI] Crypto-Funded Chinese Peptide Labs Are Booming (score=1.0, reason: AI不正利用など周辺ニュース集約)
[Latent Space] [AINews] not much happened today (score=1.0, reason: 特筆すべき動きなし)
[GNews: Anthropic/Claude (CyberSecurityNews)] Anthropic's Claude Services Down — claude.ai, Claude Code, and Cowork Affected [Updated] (score=1.0, reason: Claudeサービス障害・技術的インシデント)
[GNews: Anthropic/Claude (Dallas Express)] Anthropic Admitted Claude Is Close To Self-Improvement — Here’s What That Means (score=1.0, reason: 自己改善能力の推測記事・信頼性低い)
[GNews: Anthropic/Claude (finchannel)] Claude Is Now Writing Claude (score=1.0, reason: タイトル不明確、詳細不足)
[GNews: Anthropic/Claude (AI Magazine)] This Week's Top Five Stories in AI (score=1.0, reason: ダイジェスト記事、個別価値低)
[GNews: AI partnership (Yahoo Finance)] Qualcomm Edge AI Win With Primax Fuels New Enterprise Valuation Questions (score=1.0, reason: 特定企業パートナーシップ)
[GNews: AI partnership (simplywall.st)] A Look At Shift4 Payments (FOUR) Valuation After Loman AI Partnership Targets Restaurant Operators (score=1.0, reason: 特定企業提携、限定的)
[GNews: AI partnership (Deloitte)] CFO Guide to Human Capital Trends: AI & Human Collaboration (score=1.0, reason: 汎用的ガイダンス文書)
[GNews: AI partnership (simplywall.st)] A Look At Aptiv (APTV) Valuation After New Edge AI Partnership And Defense Connector Launch (score=1.0, reason: 特定企業パートナーシップ)
[GNews: AI partnership (Simplilearn.com)] Human-AI Collaboration: The Future of Work Explained (score=1.0, reason: 一般的な概要記事、具体性欠如)
[GNews: AI partnership (The Manila Times)] APAC employees outpace IT on collaboration tool adoption, raising AI governance concerns — study (score=1.0, reason: ガバナンス調査で技術的インパクト小)
[GNews: AI funding (en.ain.ua)] Europe's 2026 AI Infrastructure Shift: Michał Gawęda of Montis VC (score=1.0, reason: VC視点の業界分析、ニュース性低い)
[GNews: Llama/Meta AI (Digital Trends)] Meta’s AI feed is starting to sound like a late-night internet rabbit hole (score=1.0, reason: 主観的評論、実質的ニュース価値低)
[GNews: Llama/Meta AI (Plugged In)] On the Radar: DuckDuckGo Expands into Anti-AI Waters, Meta Ships Out 13+ Accounts and AI and Faith (score=1.0, reason: 複数話題混在、焦点不明確)
[GNews: Llama/Meta AI (Let's Data Science)] Meta launches AI-generated clickbait For You feed (score=1.0, reason: Meta製品の機能改善。業界への影響小)
[GNews: Llama/Meta AI (BetaNews)] Meta introduces AI-powered Creator Assistant for Facebook (score=1.0, reason: Creator向けAIツール。個別機能発表)
[GNews: Llama/Meta AI (Insider Monkey)] Meta Platforms (META): One of the Best Big Company Stocks to Buy Right Now (score=1.0, reason: 株価分析記事。AI直接関連性薄い)
[GNews: Llama/Meta AI (The Motley Fool)] Meta Stock Is Getting Hit Hard. But Where Will It Be in 3 Years? (score=1.0, reason: 株価予測記事。AI関連性薄い)
[GNews: 生成AI日本 (Yahoo!ニュース)] 「今日の夕飯、何にしよう…」に救世主生成AIが変える、毎日の献立決め大人のピンチ百科（産経新聞） (score=1.0, reason: 日本でのAI料理提案活用。用途ケーススタディ)
[GNews: 生成AI日本 (DIAMOND ハーバード・ビジネス・レビュー)] ブランドは生成AI向けの最適化が必須 | 『ハーバード・ビジネス・レビュー』／編 | ["2026年7"]月号 (score=1.0, reason: ブランド向けAI最適化の議論。コンサルティング記事)
[GNews: 生成AI日本 (Yahoo!ニュース)] 生成AIを「悩み相談」に使う10代女性たち阿部前監督事件を招いた「AI正論」の波紋（産経新聞） (score=1.0, reason: 10代のAI活用ケース。社会トレンド観測)
[GNews: 生成AI日本 (Business Insider Japan)] 生成AI版SiriだけじゃないWWDC26に期待したいこと (score=1.0, reason: WWDC期待記事。未発表製品推測)
[GNews: 生成AI日本 (ｄメニューニュース)] AI面接にアパレル画像生成…広がる日本企業“AI活用”最前線（テレ朝NEWS） (score=1.0, reason: 日本企業のAI活用事例。地域的な導入状況)
[GNews: 生成AI日本 (アイマガジン)] コード生成AIの思考プロセスと主要ツール～「プロンプトの理解」から始まる4つのプロセス、主要ツールは4種類｜新・IBM i入門ガイド［コード生成AI編］基本ツール (score=1.0, reason: コード生成AI解説。既知技術の教育記事)
[GNews: 生成AI日本 (オルタナティブ・ブログ)] 生成AIはB2B営業を駆逐するのか――検証役として残る人間の境界線：『ビジネス2.0』の視点 (score=1.0, reason: AIと営業の関係考察。観測記事)
[GNews: 生成AI日本 (CodeZine)] 「ロボットの死」をオープンソースで救いたい！ 1万人規模のコミュニティへと育つ「スタックチャン」の原点と生成AIが描く未来 (score=1.0, reason: オープンソースロボットコミュニティの話題。AI関連性薄い)
[GNews: 生成AI日本 (Yahoo!ニュース)] なぜITのプロほど怖がる？生成AIに脅威を感じるエンジニアが47.7%という現実（スマホライフPLUS） (score=1.0, reason: エンジニア意識調査。業界動向としては限定的)
[GNews: 生成AI日本 (キャンプファイヤー)] 【開発の裏舞台】3つの生成AIを駆使し、さらなる没入感へ！「AI歴史実況パート2」制作進行中 (score=1.0, reason: 小規模プロジェクトの開発裏話。業界影響小)
[GNews: 生成AI日本 (finance.biggo.jp)] 減益決算でも株価上昇、浜松ホトニクスを買うプロの視点生成AI需要が生む「未来の上方修正」 (score=1.0, reason: 株価分析。AI需要言及だが金融ニュース)
[HN AI] Ask HN: Why is the HN crowd so anti-AI? (score=1.0, reason: HNコミュニティ意見交換。メタ的で業界影響なし)
[r/MachineLearning] ML reading group to read recent interesting and trending papers from ICML/ICLR/NeurIPS [D] (score=1.0, reason: 読書会募集。個人的活動告知)
[r/MachineLearning] Sources for ML news? [D] (score=1.0, reason: 情報源探索相談。メタ的な質問)
[r/MachineLearning] Anyone here with experience submitting to Nature Machine Intelligence? [R] (score=1.0, reason: 論文投稿相談。個別的なアドバイス求め)
[r/MachineLearning] Does it make sense to use alternative quantizations of QAT models? [D] (score=1.0, reason: 量子化技術の技術質問。特定領域の細部)
[r/MachineLearning] Building a Custom Drones MuJoCo Environment [P] (score=1.0, reason: ドローン環境パッケージ。特定用途の実装)
[r/MachineLearning] Using FC26 to simulate the world cup ? [D] (score=1.0, reason: ゲーム関連、AI関連性薄い)
[r/LocalLLaMA] RTX 3090 EBay Pricing is Crazy!! (score=1.0, reason: GPU価格の雑談、技術内容なし)
[r/LocalLLaMA] Gemma 4 QAT Unquantized Heretic is here (score=1.0, reason: Gemma 4の未量子化版、限定的)
[r/LocalLLaMA] Z.ai, we need Air! GLM GGUF wen? (score=1.0, reason: GLM対応の要望、技術内容薄い)
[r/LocalLLaMA] Gemma 4 31B QAT Q4 vs standard Q4 — Top1 KLD benchmark results have me confused. Someone please explain or poke holes in this. (score=1.0, reason: ベンチマーク検証、局所的な質問)
[r/LocalLLaMA] What are you running on 16Gb VRAM + 64Gb Ram? (score=1.0, reason: 汎用的な相談スレッド、技術内容なし)
[r/LocalLLaMA] Are local models good enough to replace Claude/Codex solely for simple HTML tasks? (score=1.0, reason: ユースケース相談、一般向け)
[r/LocalLLaMA] Best Coding Harness for Qwen3.6 35B? (score=1.0, reason: 個別モデルの使用相談、汎用性低)
[r/LocalLLaMA] Fuck, sucessfully ran minecraft server on GLM AI's Agent lol. (score=1.0, reason: エピソード的、実用性不明)
[r/LocalLLaMA] AMD MI50 on Debian Testing is doing great and getting better. (score=1.0, reason: 特定GPU互換性、限定的)
[r/LocalLLaMA] Gemma 4 QAT accuracy inconsistencies (score=1.0, reason: 特定モデルの技術詳細、一般性低い)
[r/LocalLLaMA] It felt good to return my Asus Spark (score=1.0, reason: 製品レビュー、AI関連性薄い)
[r/LocalLLaMA] StepFun 3.7 Flash MTP Bench Strix Halo (score=1.0, reason: ベンチマーク結果、単一モデル)
[r/LocalLLaMA] A cooling chamber for dgx spark and gb10 machines at computex 2026 (score=1.0, reason: ハードウェアイベント情報のみ)
[r/singularity] Token maxxing (score=1.0, reason: 曖昧なタイトル、内容不明)
[r/singularity] You want to replace us heres your reward (score=1.0, reason: 曖昧なタイトル、内容不明)
[r/singularity] UBTech teases the faces of their 'emotional' humanoid robot couple, ahead of their June 30 debut (score=1.0, reason: ロボット製品発表、AI汎用性低い)
[r/singularity] we're never getting a singularity bro🤦‍♂️ (score=1.0, reason: 意見投稿、実質的内容なし)
[r/singularity] A robot wearing a clown wig in China is going viral after it kicked a child in the stomach. (score=1.0, reason: 事故報道、AI関連性薄い)
[r/singularity] Zinc oxide-tellurium semiconductor reduces chip complexity by 75% (score=1.0, reason: 半導体技術、AI直結でない)
[r/singularity] Citing ‘severe’ math deficits, UC faculty demand a return to SAT tests for STEM applicants (score=1.0, reason: 教育政策、AI関連性なし)
[r/singularity] Genetically engineered hookworms can now secrete human therapeutic antibodies directly into their host's circulation, offering a potential single-dose, years-long drug delivery platform (score=1.0, reason: バイオテク、AI関連性なし)
[r/singularity] Opus 4.8 Thinking keeps deteroriating on Hard Prompts English in LMArena (again) (score=1.0, reason: 単一モデル性能変動、限定的)
[r/singularity] Envoy’s self-driving wheelchairs at Miami’s airport (score=1.0, reason: ロボット実装、単一事例)
[r/singularity] Are there any large world models yet (score=1.0, reason: 一般的な技術質問、投機的)
[r/singularity] AGI safety proposals keep trying to build a better cage. Here's why that's wrong, and what to do instead. (score=1.0, reason: Reddit投稿、哲学的議論、実装・研究なし)