全候補一覧 - 2026-06-28

全 149 件: high=41, medium=53, low=55 内訳: {'hf_paper': 50, 'blog': 5, 'google_news': 82, 'hacker_news': 4, 'reddit': 8}

🔴 high (41件)

[HuggingFace Papers] Do Thinking Tokens Help with Safety? — Narutatsu Ri, Abhishek Panigrahi, Sanjeev Arora 👍1 (score=3.0, reason: 推論モデル安全性、LLM重要課題)
[TechCrunch AI] Apple Vision Pro exec is reportedly leaving for OpenAI (score=3.0, reason: 主要AI企業幹部移動、OpenAIの戦略転換)
[TechCrunch AI] Asian AI startups launch Mythos-like models as Anthropic’s export ban drags on (score=3.0, reason: アジア新興モデル、規制回避戦略の表れ)
[Latent Space] [AINews] OpenAI GPT-5.6 Sol / Terra / Luna — restricted to trusted partners (score=3.0, reason: OpenAI新モデル段階的リリース発表)
[GNews: Anthropic/Claude (Mashable)] Claude Mythos 5 is back, but only for a select group of US institutions (score=3.0, reason: Claude新版制限リリース、戦略転換)
[GNews: Anthropic/Claude (Axios)] Scoop: Powerful Anthropic model, Fable 5, on track to return soon (score=3.0, reason: Anthropic新モデル発表予定、主要ニュース源)
[GNews: Anthropic/Claude (Fortune)] Anthropic’s Mythos 5 AI model cleared by U.S. for wider use (score=3.0, reason: 米国規制承認、新モデル展開)
[GNews: Anthropic/Claude (LinkedIn)] Anthropic Granted Approval To Release Claude Mythos 5 To 100+ U.S. Organizations (score=3.0, reason: Mythos 5米国規制承認、100+組織展開)
[GNews: Anthropic/Claude (Reuters)] US close to allowing Anthropic to restore Fable 5 model, Axios reports (score=3.0, reason: 米国規制承認、主要モデル復旧)
[GNews: Anthropic/Claude (PCMag)] Anthropic's Mythos 5 Is Available Again, No Timeline for Fable 5 (score=3.0, reason: Mythos 5復帰、重要なビジネスニュース)
[GNews: Anthropic/Claude (the-decoder.com)] Anthropic gets US approval to bring back Claude Mythos 5 (score=3.0, reason: 米国規制承認、Mythos 5復帰)
[GNews: Anthropic/Claude (Red Hot Cyber)] Anthropic Restores Claude Mythos 5 for Critical US Organizations (score=3.0, reason: 米国組織向けMythos 5復帰)
[GNews: Anthropic/Claude (اسلام تايمز)] US Lifts Block on Anthropic's Claude Mythos 5 AI Model (score=3.0, reason: 米国規制解除、Mythos 5復帰)
[GNews: Anthropic/Claude (Digital Trends)] Anthropic’s most powerful AI is making a comeback, but only for a select few (score=3.0, reason: 主要モデル復帰、限定展開)
[GNews: Anthropic/Claude (Türkiye Today)] Anthropic says US allows limited access to Mythos 5 AI model (score=3.0, reason: 米国規制承認、限定アクセス)
[GNews: Anthropic/Claude (Benzinga)] Anthropic Gets US Green Light To Deploy Claude Mythos 5 To Trusted Partners But Fable 5 Access Still Bloc (score=3.0, reason: Mythos 5米国承認、信頼パートナー向け)
[GNews: Anthropic/Claude (NDTV)] Anthropic Receives Approval To Release Claude Mythos AI Model To Trusted Partners (score=3.0, reason: Mythos 5パートナー展開承認)
[GNews: Anthropic/Claude (Cybernews)] US approves limited release of Anthropic's Mythos 5 AI model (score=3.0, reason: 米国規制承認、限定リリース)
[GNews: Anthropic/Claude (incrypted)] US Allowed Anthropic to Partially Restore Access to Mythos 5 (score=3.0, reason: Mythos 5部分復帰承認)
[GNews: Anthropic/Claude (Tippah News)] U.S. lifts export ban on Anthropic's Claude Mythos 5, allowing sharing with more than 100 firms (score=3.0, reason: 米国輸出禁止解除、100社以上へ)
[GNews: Anthropic/Claude (Washington Examiner)] US releases Anthropic’s Mythos model to companies and agencies after block (score=3.0, reason: 米国規制解除、Mythos展開)
[GNews: AI model launch (DW.com)] US allows partial release of Anthropic's Mythos AI model (score=3.0, reason: Anthropic新モデルの規制当局による重大判断)
[GNews: AI model launch (Anadolu Ajansı)] US allows limited re-release of Anthropic's Mythos 5 AI model (score=3.0, reason: Anthropic新モデルの規制当局による重大判断)
[GNews: AI model launch (Broadband Breakfast)] OpenAI and Anthropic Limit New AI Models to Trump-Approved Customers During Cybersecurity Review (score=3.0, reason: OpenAI/Anthropicの主要モデル規制とセキュリティ審査)
[GNews: AI model launch (The Washington Post)] The U.S. government will decide who gets to use the latest American AI technology (score=3.0, reason: 米政府によるAI技術規制決定の重大ニュース)
[GNews: AI model launch (South China Morning Post)] US eases ban on AI model Mythos feared to aid cyberattacks (score=3.0, reason: Mythos規制解除の業界への影響大きい)
[GNews: AI model launch (The Hill)] Federal government permits release of Anthropic’s Mythos model to select companies (score=3.0, reason: Anthropicモデル規制解除の重大発表)
[GNews: AI model launch (Indiatimes)] US eases curbs on Anthropic's Mythos 5 AI model for trusted partners (score=3.0, reason: Anthropic新モデルの規制当局による重大判断)
[GNews: AI model launch (Crypto Briefing)] US approves Anthropic’s Mythos AI release to trusted organizations (score=3.0, reason: Anthropicモデル承認の業界影響大)
[GNews: AI model launch (NDTV)] OpenAI's New AI Was So Powerful, It Had To Brief The US Government Before Release (score=3.0, reason: OpenAI新モデルの政府承認プロセス)
[GNews: AI model launch (The Edge Malaysia)] OpenAI limits release of new model under pressure from US (score=3.0, reason: OpenAIモデルの規制による制限)
[GNews: AI model launch (Inshorts)] US allows release of most powerful Claude AI model, weeks after taking it offline | US had earlier cited national security concerns | Inshorts (score=3.0, reason: Claude最強モデルの規制解除重大ニュース)
[GNews: Llama/Meta AI (Memeburn)] Meta Is the Only AI Giant Outside Washington's AI Review (score=3.0, reason: Metaが米政府AI規制外の唯一の大手企業)
[GNews: Llama/Meta AI (The Globe and Mail)] Wall Street Thinks AI Capex Is Unsustainable -- Here's Why Big Tech Keeps Spending Anyway (score=3.0, reason: Big Techの持続不可能なAI投資の分析)
[GNews: Llama/Meta AI (The News International)] Why Meta plans to replace 90% of content moderation with AI (score=3.0, reason: Metaの90%のコンテンツモデレーション自動化計画)
[GNews: 生成AI日本 (Yahoo!ニュース)] 【生成AIのシェア激変】伸びる「Claude」と、話題の国産AI「サカナフグ」とは? これからは“使い分け”の時代に（KBC九州朝日放送） (score=3.0, reason: Claude成長と国産AI競合の市場シェア変化)
[GNews: 生成AI日本 (NHKニュース)] アンソロピック AI「ミュトス5」米の一部企業などに提供再開へ (score=3.0, reason: Anthropic規制対応、重要なビジネス展開)
[GNews: 生成AI日本 (株式会社エクサウィザーズ)] Mythos解禁、GPT-5.6は限定公開フロンティアAIは誰が公開を決めるのか (score=3.0, reason: Anthropic/OpenAIの規制対応、業界動向)
[GNews: 生成AI日本 (DXマガジン)] デジタル庁が「生成AIガイドライン第2.0版」を決定！公的機関の調達・利活用基準が大幅アップデート (score=3.0, reason: 政府ガイドラインアップデート、規制進展)
[HN AI] Asian AI startups launch Mythos-like models (score=3.0, reason: アジアのAI企業躍進、輸出規制対応)
[HN LLM/Claude/GPT] Anthropic says Alibaba used 25k accounts to mine Claude (score=3.0, reason: Anthropic-Alibaba紛争、セキュリティ侵害)

🟡 medium (53件)

[HuggingFace Papers] DanceOPD: On-Policy Generative Field Distillation — Wei Zhou, Xiongwei Zhu, Zelin Xu 👍64 (score=2.5, reason: 画像生成統一パイプライン、実用的)
[HuggingFace Papers] Are We Ready For An Agent-Native Memory System? — Wei Zhou, Xuanhe Zhou, Shaokun Han 👍104 (score=2.5, reason: LLMエージェントメモリシステム設計論)
[HuggingFace Papers] In-Context World Modeling for Robotic Control — Siyin Wang, Junhao Shi, Senyu Fei 👍42 (score=2.4, reason: ロボット制御の汎化能力向上)
[HuggingFace Papers] OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning — Shuo Yang, Jinyang Wu, Zhengxi Lu 👍40 (score=2.4, reason: エージェントRLの学習効率改善)
[HuggingFace Papers] Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation — Zekai Zhang, Jiahao Li, Jie Zhang 👍40 (score=2.4, reason: T2I実用性改善、Qwen社の研究)
[HuggingFace Papers] The Verification Horizon: No Silver Bullet for Coding Agent Rewards — Binghai Wang, Chenlong Zhang, Dayiheng Liu 👍38 (score=2.4, reason: コーディングエージェントの報酬設計問題)
[HuggingFace Papers] ViQ: Text-Aligned Visual Quantized Representations at Any Resolution — Xumin Yu, Zuyan Liu, Zhenyu Yang 👍37 (score=2.4, reason: テキスト・画像統一表現の基盤研究)
[HuggingFace Papers] JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting — Lanxiang Hu, Zhaoxiang Feng, Yulun Wu 👍29 (score=2.3, reason: LLM推論速度の最適化技術)
[HuggingFace Papers] GUI vs. CLI: Execution Bottlenecks in Screen-Only and Skill-Mediated Computer-Use Agents — Xiao Zhou, Siyue Zhang, Yilun Zhao 👍25 (score=2.2, reason: エージェント実行方式の比較分析)
[HuggingFace Papers] V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning — Haoxiang Sun, Zhihang Yi, Langxuan Deng 👍25 (score=2.2, reason: マルチモーダルLLMの推論効率改善)
[HuggingFace Papers] Fast LeWorldModel — Yuntian Gao, Xiangyu Xu 👍22 (score=2.2, reason: 基礎的な世界モデル研究、応用範囲広い)
[HuggingFace Papers] Running the Gauntlet: Re-evaluating the Capabilities of Agents Beyond Familiar Environments — Mykola Vysotskyi, Runqi Lin, Grzegorz Biziel 👍15 (score=2.1, reason: エージェント能力評価の重要な課題)
[HuggingFace Papers] Why Multi-Step Tool-Use Reinforcement Learning Collapses and How Supervisory Signals Fix It — Yupu Hao, Zhuoran Jin, Huanxuan Liao 👍15 (score=2.1, reason: ツール利用RL問題の実証的解決)
[HuggingFace Papers] Autodata: An agentic data scientist to create high quality synthetic data — Ilia Kulikov, Chenxi Whitehouse, Tianhao Wu 👍12 (score=2.1, reason: 合成データ自動生成、実用性高い)
[HuggingFace Papers] Information-Aware KV Cache Compression for Long Reasoning — Jushi Kai, Zhuiri Xiao, Alexandra Birch 👍9 (score=2.1, reason: 推論型LLMの実用的最適化技術)
[HuggingFace Papers] PhysiFormer: Learning to Simulate Mechanics in World Space — Yiming Chen, Yushi Lan, Andrea Vedaldi 👍9 (score=2.1, reason: 物理シミュレーション、3D生成改善)
[HuggingFace Papers] Hallucination in World Models is Predictable and Preventable — Nicklas Hansen, Xiaolong Wang 👍8 (score=2.1, reason: ワールドモデルの幻覚問題解決)
[HuggingFace Papers] Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do — Zhuoran Jin, Kejian Zhu, Hongbang Yuan 👍8 (score=2.1, reason: LLM推論能力の限界分析、重要知見)
[HuggingFace Papers] Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents — Changdae Oh, Wendi Li, Seongheon Park 👍7 (score=2.1, reason: LLMエージェント評価の理論的進展)
[HuggingFace Papers] CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies — Issa Sugiura, Daichi Hattori, Kazuo Araragi 👍7 (score=2.1, reason: マルチエージェントシステムの評価ベンチマーク)
[HuggingFace Papers] Discretizing Reward Models — Vijay Viswanathan, Shiqi Wang, Devamanyu Hazarika 👍7 (score=2.1, reason: 報酬モデルの役割を理論化)
[HuggingFace Papers] ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation — Chen Lin, Kedi Chen, Wei Zhang 👍5 (score=2.0, reason: LLM推論蒸留改善、実用的最適化)
[HuggingFace Papers] CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output Compression — Morayo Danielle Adeyemi, Ryan A. Rossi, Franck Dernoncourt 👍4 (score=2.0, reason: LLM圧縮の効果検証、推論効率関連)
[HuggingFace Papers] When Lower Privileges Suffice: Investigating Over-Privileged Tool Selection in LLM Agents — Kaiyue Yang, Yuyan Bu, Jingwei Yi 👍4 (score=2.0, reason: LLMエージェント安全性の実証的研究)
[HuggingFace Papers] When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models — Josef Chen 👍3 (score=2.0, reason: 複数LLM組み合わせ戦略の実証分析)
[HuggingFace Papers] PrivacyAlign: Contextual Privacy Alignment for LLM Agents — Manveer Singh Tamber, Abhay Puri, Marc-Etienne Brunet 👍3 (score=2.0, reason: LLMエージェント安全性、ユーザ信頼)
[HuggingFace Papers] What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics — Sofiia Nikolenko, Michele Papucci, Mina Rezaei 👍3 (score=2.0, reason: LLMセキュリティ検出、実用的)
[HuggingFace Papers] Plans Don't Persist: Why Context Management Is Load Bearing for LLM Agents — Aman Mehta, Anupam Datta 👍1 (score=2.0, reason: LLMエージェント実用的課題)
[HuggingFace Papers] Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints — Fangzheng Li, Aimin Zhang, Chen Lv (score=2.0, reason: LLMエージェント能力分析、実装課題)
[GNews: Anthropic/Claude (The Information)] Salesforce Employees Worry Over Anthropic’s Invasion of Slack (score=2.0, reason: Anthropic製品浸透、業界提携動向)
[GNews: Anthropic/Claude (Venturebeat)] Claude Code turned every engineer into three. Now companies need more product thinkers (score=2.0, reason: Claude Code導入による業務変化)
[GNews: Anthropic/Claude (Gizmodo)] Expect Claude Fable 5 to Be Turned Back on in a Matter of Days, Report Says (score=2.0, reason: Claude制限解除予定、規制動向反映)
[GNews: Anthropic/Claude (the-decoder.com)] Half of Claude users say AI can already handle half their work according to Anthropic survey (score=2.0, reason: ユーザー調査データ、実用性の指標)
[GNews: Anthropic/Claude (Fathom Journal)] Claude Opus 4.7 Leaked, Anthropic Full Stack App, New GPT Model, M2.7, Claude Code Update! AI NEWS Jauan Jennings (U4E3QP5N4j) (score=2.0, reason: 新モデルリーク、検証が必要)
[GNews: Anthropic/Claude (Crypto Briefing)] Anthropic shifts hiring focus to product managers as engineering output triples (score=2.0, reason: 組織戦略変更、ビジネスニュース)
[GNews: Anthropic/Claude (Decatur Daily)] Anthropic announces 'Claude Corps' to teach nonprofits to use AI more effectively (score=2.0, reason: NPO向け教育プログラム、社会貢献)
[GNews: AI partnership (Screen Daily)] A24 defends Google AI partnership after backlash: ‘We’d rather have a seat at the table’ (score=2.0, reason: A24のGoogle AIパートナーシップ論争)
[GNews: AI partnership (Yahoo Finance)] Jack Henry and Alphabet (GOOGL) Expand Google Cloud AI Security Partnership (score=2.0, reason: Google CloudのセキュリティAIパートナーシップ)
[GNews: AI partnership (IMDb)] A24 Defends Controversial AI Partnership With Google in New Statement (score=2.0, reason: A24のGoogle AIパートナーシップ防衛)
[GNews: AI partnership (Yahoo)] A24 Faces Backlash Over $75 Million AI Partnership with Google DeepMind (score=2.0, reason: A24のGoogle DeepMind大型AIパートナーシップ)
[GNews: AI partnership (India Today)] India-US tech partnership turns to private sector for AI and chip projects (score=2.0, reason: インド・米国の戦略的AI・チップ協力の発表)
[GNews: AI partnership (BusinessLine)] Companies pull back on AI as weak workplace collaboration hurts results: CambrianEdge (score=2.0, reason: AIの実務利用における課題を指摘)
[GNews: AI funding (instagram.com)] Between June 22 and June 27, 2026, as many as 18 Indian startups from diverse sectors raised over $1.08 billion in funding from investors. These sectors include Proptech, Ecommerce, Martech, Fintech, Spacetech, Cybersecurity, DevOps, Agritech, Logistics, (score=2.0, reason: インドスタートアップの大型資金調達ラウンド)
[GNews: AI funding (Coinpedia)] Framework Ventures Raises $400M Fund, Going Beyond Crypto Into AI and Robotics (score=2.0, reason: 大型AI・ロボティクスファンド立ち上げ)
[GNews: AI funding (WION)] India's AI problem: Funding gap for AI startups, research and development is the core constraint (score=2.0, reason: インドのAI資金ギャップに関する重要な分析)
[GNews: AI funding (BW Businessworld)] Ex-Infosys CEO Vishal Sikka Launches AI Services Startup, Raises $32 Mn (score=2.0, reason: 元Infosys CEOの新規AI企業立ち上げ)
[GNews: 生成AI日本 (ビジネス+IT)] 千葉県警が中高生ら10代若者9人をサイバー犯罪で立件、生成AIでランサムウェア作成も (score=2.0, reason: 生成AIの悪用、規制・社会問題)
[GNews: 生成AI日本 (media-innovation.jp)] 生成AI時代の肖像権侵害、SNS上の経済的損失は約20～45億円規模と試算業界174社調査で対応の遅れも浮き彫りに (score=2.0, reason: 肖像権侵害による経済損失の試算)
[GNews: 生成AI日本 (media-innovation.jp)] 生成AIは1回答で平均6.61サイトを引用、Optyino.aiがAI回答7,295件を分析しモデル別の引用傾向を公表 (score=2.0, reason: 引用傾向分析、モデル比較研究)
[HN LLM/Claude/GPT] DSpark: Speculative decoding accelerates LLM inference [pdf] (score=2.0, reason: LLM高速化技術、DeepSeek論文)
[r/MachineLearning] MathFormer: Testing whether symbolic math is pattern matching or reasoning [D] (score=2.0, reason: 数学的推論能力の調査、モデル分析)
[r/MachineLearning] Built an LLM training framework that actually runs on older GPUs without crashing [P] (score=2.0, reason: 古いGPUでの訓練フレームワーク、実用性有)
[r/MachineLearning] Benchmarking Self-Hosted Gemma 2 9B vs. Frontier APIs: The FP8 Quantization Prefill Tax and VRAM Realities on an NVIDIA L4 [P] (score=2.0, reason: 量子化とコスト効率の検証、本番環境関連)

⚪ low (55件)

[HuggingFace Papers] DomainShuttle: Freeform Open Domain Subject-driven Text-to-video Generation — Nan Chen, Yiyang Cai, Rongchang Xie 👍62 (score=1.5, reason: テキスト動画生成の応用、特定用途)
[HuggingFace Papers] ShutterMuse: Capture-Time Photography Guidance with MLLMs — Jiayu Li, Yixiao Fang, Tianyu Hu 👍44 (score=1.4, reason: 写真撮影補助、特定ドメイン)
[HuggingFace Papers] MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation — JoungBin Lee, Jaewoo Jung, Jongmin Lee 👍34 (score=1.3, reason: 動画生成特定手法、応用限定)
[HuggingFace Papers] UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating — Jiehui Huang, Yuechen Zhang, Bin Xia 👍24 (score=1.2, reason: 動画生成の特定技術、汎用性低い)
[HuggingFace Papers] EBench: Elemental Diagnosis of Generalist Mobile Manipulation Policies — Ning Gao, Jinliang Zheng, Xing Gao 👍15 (score=1.1, reason: ロボット操作ベンチマーク、特定ドメイン)
[HuggingFace Papers] LISA: Likelihood Score Alignment for Visual-condition Controllable Generation — Yanghao Wang, Hongxu Chen, Jiazhen Liu 👍13 (score=1.1, reason: 条件付き画像生成の技術改良)
[HuggingFace Papers] Confidence-Aware Tool Orchestration for Robust Video Understanding — Yangfan He, Yujin Choi, Jaehong Yoon 👍9 (score=1.1, reason: ビデオ理解の限定的改良)
[HuggingFace Papers] TryOnCrafter: Unleashing Camera Trajectories for Realistic Video Virtual Try-on via a Renderable 4D Try-on Proxy — Hao Sun, Hao Yan, Mengting Chen 👍6 (score=1.1, reason: 動画生成の応用、業界影響限定的)
[HuggingFace Papers] RL-Index: Reinforcement Learning for Retrieval Index Reasoning — Yongjia Lei, Nedim Lipka, Zhisheng Qi 👍5 (score=1.1, reason: 検索インデックス最適化、特定用途)
[HuggingFace Papers] COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami — Tom Zahavy, Shaobo Hou, Thomas Tumiel 👍4 (score=1.0, reason: 特定ドメイン限定、折り紙デザイン)
[HuggingFace Papers] ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation — Anindya Mondal, Sauradip Nag, Anjan Dutta 👍3 (score=1.0, reason: 特定ドメイン限定の視覚言語モデル)
[HuggingFace Papers] How Post-Training Shapes Biological Reasoning Models — Lukas Fesser, Hanlin Zhang, Michelle M. Li 👍3 (score=1.0, reason: 特定分野（生物学）のモデル研究)
[HuggingFace Papers] OpenBioRQ: Unsolved Biomedical Research Questions for Agents — Minbyul Jeong 👍3 (score=1.0, reason: 生物医学研究向けベンチマーク)
[HuggingFace Papers] GridVQA-X: A Framework for Evaluating Multimodal Explainability Methods — Sujay Belsare, Sudarshan Nikhil, Sushant Kumar 👍3 (score=1.0, reason: 評価手法、既存研究の拡張)
[HuggingFace Papers] Lite Any Stereo V2: Faster and Stronger Efficient Zero-Shot Stereo Matching — Junpeng Jing, Ronglai Zuo, Zhelun Shen 👍3 (score=1.0, reason: ステレオマッチング最適化、既存改善)
[HuggingFace Papers] EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting — Junwei Luo, Shuai Yuan, Zhenya Yang 👍2 (score=1.0, reason: 特定ドメイン（地球観測）限定研究)
[HuggingFace Papers] Physics Question Scene Graph: Fine-grained Evaluation of Physical Plausibility in Text-to-Video Generation — Atin Pothiraj, Jaemin Cho, Yue Zhang 👍1 (score=1.0, reason: ビデオ生成の評価指標、特定用途)
[HuggingFace Papers] Forecasting Future Behavior as a Learning Task — Mosh Levy, Yoav Goldberg, Asa Cooper Stickland 👍1 (score=1.0, reason: AI信頼性解釈、理論的貢献限定)
[HuggingFace Papers] Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation — Hyun-Kurl Jang, Jihun Kim, Hyeokjun Kweon 👍1 (score=1.0, reason: 継続学習特定手法、特定ドメイン)
[HuggingFace Papers] Speaker Identity in Non-Verbal Vocalizations: Conditional Distillation and Mixture of Experts Approach — Tzu-Chieh Wei, Yi-Cheng Lin, Huang-Cheng Chou (score=1.0, reason: TTS特定機能、応用範囲狭い)
[TechCrunch AI] SoftBank’s CEO isn’t the only one with questions about Elon Musk’s orbital data center hype (score=1.0, reason: 衛星データセンター、AI関連性薄い)
[TechCrunch AI] The fittest founder in the room got cancer. Here’s how he used AI to fight back. (score=1.0, reason: 個人事例、業界トレンドでない)
[GNews: Anthropic/Claude (Yahoo Finance)] CI&T (CINT) Joins Anthropic’s Claude Partner Network (score=1.0, reason: 一企業のパートナーシップ、小規模ニュース)
[GNews: AI partnership (Kotaku)] A24 Is Just Making Fans Angrier With Its Latest Defense Of AI (score=1.0, reason: A24のパートナーシップ擁護への反発)
[GNews: AI partnership (Quiver Quantitative)] Nexera Technologies Stock (NEXR) Opinions on AI Data Center Collaboration (score=1.0, reason: 特定企業のAIデータセンター協業)
[GNews: AI partnership (The American Bazaar)] SUNY Old Westbury, IIT Bombay partner to expand AI research and education (score=1.0, reason: 大学のAI研究パートナーシップ)
[GNews: AI partnership (simplywall.st)] Is MARA Holdings (MARA) Still Below Fair Value Following Its Starwood AI Partnership? (score=1.0, reason: 企業の特定パートナーシップの株価分析)
[GNews: AI partnership (Machine Maker)] Blue Cloud Softech Explores AI Collaboration Opportunities with SpaceX International (score=1.0, reason: 特定企業のSpaceXAI協業探索)
[GNews: AI partnership (Rediff)] Private Sector Key To India-US Strategic Tech Outcomes (score=1.0, reason: 一般的な政策パートナーシップ、具体的な施策なし)
[GNews: AI partnership (ibgnews.com)] India Joins Global AI Partnership as Pax Silica Expands International Technology and Supply Chain Alliance (score=1.0, reason: パートナーシップ拡大の一般的ニュース)
[GNews: AI partnership (Let's Data Science)] Canadian AI CEO Urges Cooperation, Calls China's Speed "Insane" (score=1.0, reason: CEO発言の一般的報道)
[GNews: AI partnership (quasa.io)] Thinking Machines Lab: The Future of Human-AI Collaboration (score=1.0, reason: 人間-AI協力の一般的解説)
[GNews: AI funding (Arab News PK)] Startup wrap — Funding and acquisition momentum continues in MENA (score=1.0, reason: MENA地域の一般的なスタートアップニュース)
[GNews: Llama/Meta AI (Fathom Journal)] The New UFC Meta AI Rankings Are A DISASTER Sigourney Weaver (4K1xgrP3Pe) (score=1.0, reason: UCAランキングの一般的なニュース)
[GNews: Llama/Meta AI (Yahoo Tech)] Meta Platforms, Inc. (META) to pause Internal Mouse-tracking Tech while Investigating Data Security Issues (score=1.0, reason: データセキュリティ問題の一般的なニュース)
[GNews: Llama/Meta AI (Memeburn)] Meta Is Betting We'll Stop Noticing the Cameras (score=1.0, reason: Metaのハードウェア戦略の一般的報道)
[GNews: Llama/Meta AI (The Motley Fool)] Can Meta's New $300 Glasses Turn Around the Stock? (score=1.0, reason: Meta眼鏡製品の株価への影響分析)
[GNews: Llama/Meta AI (MarkTechPost)] Meta's Astryx Brings a CLI and MCP Server to an Open-Source React Design System Agents Can Read (score=1.0, reason: MetaのOSSツール開発の技術ニュース)
[GNews: 生成AI日本 (Yahoo!ニュース)] 【山形】県内企業の約3割が業務で生成AIを活用（YTS山形テレビ） (score=1.0, reason: 地域ニュース、統計データのみ)
[GNews: 生成AI日本 (東京新聞デジタル)] 県内企業、生成AI 3割が活用「使いこなす段階に」帝国データ調査 (score=1.0, reason: 地域統計調査、業界トレンド報道)
[GNews: 生成AI日本 (Forbes JAPAN)] 生成AIが変える創造の未来──求められるのは「量」ではなく「意味」 (score=1.0, reason: 意見・評論記事、実質内容薄い)
[GNews: 生成AI日本 (毎日新聞)] プレスリリース：生成AIは商品推薦でどんな検索クエリを使うのか？Optyino.aiがAI回答5,707件を分析、ChatGPT5.2は平均8.16語で最長（PR TIMES） (score=1.0, reason: 企業PR、限定的な分析)
[GNews: 生成AI日本 (au Webポータル)] 生成AI時代で変わる通信大手高配当株から“AIインフラ株”への転換 (score=1.0, reason: 株式投資観点の記事、AI本体ではない)
[GNews: 生成AI日本 (釧路新聞電子版)] 生成ＡＩ活用学ぶ同友会くしろ支部統合１０周年記念例会【釧路市】 (score=1.0, reason: 地域の学習イベント告知)
[GNews: 生成AI日本 (banger.jp)] 「お兄ちゃん、どうしよう」人を殺してしまった妹を守るため、行き着いた先は“生成AI”だった『5秒で完全犯罪を生成する方法』 (score=1.0, reason: 映画・エンタメ評、AI関連性薄い)
[GNews: 生成AI日本 (WIRED.jp)] わたしたちはいま “100年先のエンジン” をつくっている── Geminiを支える台湾出身のキーパーソン (score=1.0, reason: 人物インタビュー、実質情報薄い)
[GNews: 生成AI日本 (Chosunbiz)] 新韓金融が内部統制に生成AI導入業界初 - CHOSUNBIZ (score=1.0, reason: 限定的な企業導入事例)
[GNews: 生成AI日本 (東洋経済オンライン)] 〈書評〉『格差の国の経済学』『体の居場所をつくる』『AI人類学生成AI時代の超倫理』 (score=1.0, reason: 書評、AI本の紹介のみ)
[GNews: 生成AI日本 (毎日新聞)] プレスリリース：［受付開始］農業関係者向け「農業AI活用事例」無料オンラインセミナー、希望団体を募集（PR TIMES） (score=1.0, reason: セミナー募集PR、実質情報なし)
[HN LLM/Claude/GPT] Ask HN: MacBook vs. Dedicated GPU for LLM (score=1.0, reason: 一般的なハードウェア比較議論、技術的深さ無い)
[r/MachineLearning] Hiding messages in the least significant mantissa bits of fine-tuned ONNX model weights [P] (score=1.0, reason: モデル重みへのメッセージ埋め込み、実用性低い)
[r/MachineLearning] Do we still need to study algorithms now that AI writes most of our code? [D] (score=1.0, reason: 主観的な教育議論、AI技術進展と直接無関)
[r/MachineLearning] I silently break training codes or configs so I made pybench [P] (score=1.0, reason: 統計的回帰テスト用ツール、特定ドメイン限定)
[r/MachineLearning] Late Submission of NeurIPS Review [R] (score=1.0, reason: 個人的な学会投稿手続き質問、業界ニュース無)
[r/MachineLearning] Showcase: Building ML models that "watch" MMA fights and label events and positional changes making these moments all searchable on a timeline [P] (score=1.0, reason: 特定ドメイン応用例、広範な影響無)