全候補一覧 - 2026-05-11

全 169 件: high=16, medium=80, low=73 内訳: {'hf_paper': 50, 'blog': 5, 'google_news': 67, 'hacker_news': 6, 'reddit': 41}

🔴 high (16件)

[HuggingFace Papers] MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction — Junbo Cui, Bokai Xu, Chongyi Wang 👍60 (score=3.5, reason: リアルタイムマルチモーダル双方向対話の実装)
[HuggingFace Papers] Audio-Visual Intelligence in Large Foundation Models — You Qin, Kai Liu, Shengqiong Wu 👍26 (score=3.3, reason: マルチモーダル基盤モデルの大きなトレンド)
[HuggingFace Papers] Prescriptive Scaling Laws for Data Constrained Training — Justin Lovelace, Christian Belardi, Srivatsa Kundurthy 👍4 (score=3.0, reason: データ制約下の学習スケーリング、業界課題)
[GNews: AI partnership (Pulse 2.0)] Scale AI Expands Pentagon AI Partnership To $500 Million (score=3.0, reason: Scale AIと米国防総省の5億ドル拡大契約)
[GNews: AI funding (AOL.com)] AI startup known as ‘ChatGPT for doctors’ doubles valuation to $12B in latest funding round (score=3.0, reason: 医療AI スタートアップが120億ドル評価達成)
[GNews: Llama/Meta AI (International Business Times)] Mark Zuckerberg Claims One AI Worker Now Replaces Dozens as 8,000 Layoffs Loom (score=3.0, reason: AI導入による大規模レイオフの経営判断、業界への影響大)
[GNews: Llama/Meta AI (moneywise.com)] Meta got a $3.3 billion tax break for its $10 billion AI data center — and it could consume 20% of Louisiana's power (score=3.0, reason: メタの大規模インフラ投資と規制・エネルギー問題)
[GNews: Llama/Meta AI (Benzinga)] Qualcomm CEO Says OpenAI, Meta Are Working On AI Wearables That Could Replace Smartphones (score=3.0, reason: OpenAI/メタのAIウェアラブル開発、業界パラダイムシフト)
[GNews: 生成AI日本 (AFPBB News)] 「生成AIインフルエンサー」がトランプ氏後押し中間選挙控える米国 (score=3.0, reason: 生成AIを用いた政治工作、規制・社会的課題)
[GNews: 生成AI日本 (DXマガジン)] Googleの生成AIでアニメ制作が激変制作時間とコストを30％削減 (score=3.0, reason: Google生成AIによるアニメ制作の実用化。業界変化)
[HN AI] Maryland citizens hit with $2B power grid upgrade for out-of-state AI (score=3.0, reason: AI電力インフラ問題、規制・社会影響の重要ニュース)
[r/LocalLLaMA] NVIDIA AI Releases Star Elastic: One Checkpoint that Contains 30B, 23B, and 12B Reasoning Models with Zero-Shot Slicing (score=3.0, reason: NVIDIA公式、ゼロショット圧縮技術、大型研究)
[r/LocalLLaMA] NCCL-Free Tensor Parallelism on Dual Blackwell PCIe llama.cpp b9095 released! (score=3.0, reason: llama.cpp重要リリース、テンサル並列化)
[r/singularity] Google readies ‘AI Ultra Lite’ plan and explicit ‘usage limits’ for Gemini (score=3.0, reason: Google公式の新プラン、価格戦略変更)
[r/singularity] Claude Mythos Preview (early) 50% time horizon: 17 hr (score=3.0, reason: Claude新モデル発表、主要AI企業動向)
[r/singularity] After Shopify and Google said that 50% and 75% of their code is AI-generated, it’s now Airbnb’s turn to say that 60% of its codebase is also AI-generated. Moreover, Airbnb's CEO says that even managers are programming with Claude Code. (score=3.0, reason: 大手テック企業のAI生成コード比率公表、業界トレンド)

🟡 medium (80件)

[HuggingFace Papers] Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction — Zhuofeng Li, Haoxiang Zhang, Cong Wei 👍79 (score=2.5, reason: 検索システムの革新的アプローチ、実用性高)
[HuggingFace Papers] Continuous Latent Diffusion Language Model — Hongcan Guo, Qinyu Zhao, Yian Zhao 👍61 (score=2.5, reason: 言語モデル学習パラダイム改良)
[HuggingFace Papers] Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning — Yaorui Shi, Yuxin Chen, Zhengxi Lu 👍64 (score=2.5, reason: スキルライブラリ保守の自動化)
[HuggingFace Papers] MARBLE: Multi-Aspect Reward Balance for Diffusion RL — Canyu Zhao, Hao Chen, Yunze Tong 👍35 (score=2.4, reason: 拡散モデル多目的RL最適化)
[HuggingFace Papers] SkillOS: Learning Skill Curation for Self-Evolving Agents — Siru Ouyang, Jun Yan, Yanfei Chen 👍33 (score=2.3, reason: LLMエージェント継続学習)
[HuggingFace Papers] Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration — Langlin Huang, Chengsong Huang, Jinyuan Li 👍32 (score=2.3, reason: 推論強化学習の改良手法)
[HuggingFace Papers] Continuous-Time Distribution Matching for Few-Step Diffusion Distillation — Tao Liu, Hao Yan, Mengting Chen 👍24 (score=2.2, reason: 拡散モデル高速化の実用的改良)
[HuggingFace Papers] CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing — Cheng Qian, Hyeonjeong Ha, Jiayu Liu 👍20 (score=2.2, reason: LLMの創造的推論評価フレームワーク)
[HuggingFace Papers] StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction — Xiangyuan Xue, Yifan Zhou, Zidong Wang 👍18 (score=2.2, reason: LLMエージェント強化学習の実用的課題)
[HuggingFace Papers] Auto Research with Specialist Agents Develops Effective and Non-Trivial Training Recipes — Jingjie Ning, Xiaochuan Li, Ji Zeng 👍12 (score=2.1, reason: 自動機械学習研究ループ)
[HuggingFace Papers] A^2TGPO: Agentic Turn-Group Policy Optimization with Adaptive Turn-level Clipping — Dingwei Chen, Zefang Zong, Zhipeng Ma 👍11 (score=2.1, reason: LLM強化学習の理論的進展)
[HuggingFace Papers] Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key — Tianle Wang, Zhaoyang Wang, Guangchen Lan 👍11 (score=2.1, reason: RL強化LLM推論の系統研究)
[HuggingFace Papers] AI Co-Mathematician: Accelerating Mathematicians with Agentic AI — Daniel Zheng, Ingrid von Glehn, Yori Zwols 👍10 (score=2.1, reason: 数学分野AI応用の実例研究)
[HuggingFace Papers] EMO: Pretraining Mixture of Experts for Emergent Modularity — Ryan Wang, Akshita Bhagia, Sewon Min 👍7 (score=2.1, reason: MOE アーキテクチャの効率化研究、応用有望)
[HuggingFace Papers] TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding — Minjie Qiang, Mingming Zhang, Xiaoyi Bao 👍7 (score=2.1, reason: 表形式データ基盤モデル開発)
[HuggingFace Papers] ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving — Huimin Wang, Yue Wang, Bihao Cui 👍7 (score=2.1, reason: 自動運転意思決定モデル改良)
[HuggingFace Papers] UniPool: A Globally Shared Expert Pool for Mixture-of-Experts — Minbin Huang, Han Shi, Chuanyang Zheng 👍7 (score=2.1, reason: 混合専門家モデルの設計改良)
[HuggingFace Papers] RemoteZero: Geospatial Reasoning with Zero Human Annotations — Liang Yao, Fan Liu, Shengxiang Xu 👍6 (score=2.1, reason: 地理空間推論の実用的応用)
[HuggingFace Papers] KernelBench-X: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels — Han Wang, Jintao Zhang, Kai Jiang 👍5 (score=2.0, reason: LLM生成GPUカーネルの実用的評価)
[HuggingFace Papers] TIDE: Every Layer Knows the Token Beneath the Context — Ajay Jaiswal, Lauren Hannah, Han-Byul Kim 👍5 (score=2.0, reason: LLMアーキテクチャの基本的改善提案)
[HuggingFace Papers] SwiftI2V: Efficient High-Resolution Image-to-Video Generation via Conditional Segment-wise Generation — YaoYang Liu, Yuechen Zhang, Wenbo Li 👍5 (score=2.0, reason: 動画生成の効率化技術)
[HuggingFace Papers] ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning — Zihan Lin, Xiaohan Wang, Jie Cao 👍5 (score=2.0, reason: LLM推論強化学習の改善手法)
[HuggingFace Papers] Balanced Aggregation: Understanding and Fixing Aggregation Bias in GRPO — Zhiyuan Zeng, Jiameng Huang, Zhangyue Yin 👍4 (score=2.0, reason: RL報酬最適化の理論的改善)
[HuggingFace Papers] XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity — Dasol Choi, Eugenia Kim, Jaewon Noh 👍4 (score=2.0, reason: 多言語LLM安全性ベンチマーク)
[HuggingFace Papers] Recovering Hidden Reward in Diffusion-Based Policies — Yanbiao Ji, Qiuchang Li, Yuting Hu 👍3 (score=2.0, reason: 生成モデルと逆強化学習の融合)
[HuggingFace Papers] SWE-WebDevBench: Evaluating Coding Agent Application Platforms as Virtual Software Agencies — Siddhant Saxena, Nilesh Trivedi, Vinayaka Jyothi 👍3 (score=2.0, reason: コード生成AIエージェント評価)
[HuggingFace Papers] Diffusion Model as a Generalist Segmentation Learner — Haoxiao Wang, Antao Xiang, Haiyang Sun 👍3 (score=2.0, reason: 拡散モデルのセグメンテーション活用)
[HuggingFace Papers] GeoStack: A Framework for Quasi-Abelian Knowledge Composition in VLMs — Pranav Mantini, Shishir K. Shah 👍2 (score=2.0, reason: VLM知識合成の興味深い理論的進展)
[HuggingFace Papers] BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models — Xin Gao, Ruiyi Zhang, Meixi Du 👍2 (score=2.0, reason: バイオメディカル特化LLMツール、応用価値)
[HuggingFace Papers] When No Benchmark Exists: Validating Comparative LLM Safety Scoring Without Ground-Truth Labels — Sushant Gautam, Finn Schwall, Annika Willoch Olstad 👍2 (score=2.0, reason: LLM安全性評価の実用的方法論)
[HuggingFace Papers] Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study — Hao Dong, Hongzhao Li, Shupan Li 👍2 (score=2.0, reason: マルチモーダルドメイン汎化の包括的ベンチ)
[HuggingFace Papers] Think, then Score: Decoupled Reasoning and Scoring for Video Reward Modeling — Yuan Wang, Ouxiang Li, Yulong Xu 👍2 (score=2.0, reason: 動画報酬モデリングの進展)
[HuggingFace Papers] Turning Drift into Constraint: Robust Reasoning Alignment in Non-Stationary Environments — Xiaoyu Yang, En Yu, Wei Duan 👍2 (score=2.0, reason: マルチモーダルLLM推論の新課題提示)
[HuggingFace Papers] EDU-CIRCUIT-HW: Evaluating Multimodal Large Language Models on Real-World University-Level STEM Student Handwritten Solutions — Weiyu Sun, Liangliang Chen, Yongnuo Cai 👍1 (score=2.0, reason: 教育向けMLLMの現実的課題評価)
[HuggingFace Papers] KinDER: A Physical Reasoning Benchmark for Robot Learning and Planning — Yixuan Huang, Bowen Li, Vaibhav Saxena 👍1 (score=2.0, reason: ロボット学習向けベンチマーク)
[HuggingFace Papers] The First Token Knows: Single-Decode Confidence for Hallucination Detection — Mina Gabriel 👍1 (score=2.0, reason: 効率的なハルシネーション検出手法)
[HuggingFace Papers] When to Think, When to Speak: Learning Disclosure Policies for LLM Reasoning — Jiaqi Wei, Xuehang Guo, Pengfei Yu 👍1 (score=2.0, reason: LLM推論効率化の新アプローチ)
[Hugging Face Blog] MachinaCheck: Building a Multi-Agent CNC Manufacturability System on AMD MI300X (score=2.0, reason: マルチエージェントAI製造応用)
[TechCrunch AI] Anthropic says ‘evil’ portrayals of AI were responsible for Claude’s blackmail attempts (score=2.0, reason: Claude安全性に関する重要な知見)
[GNews: Anthropic/Claude (EdTech Innovation Hub)] Anthropic reduces Claude AI blackmail behavior in safety tests | ETIH EdTech News (score=2.0, reason: Claude安全性テスト結果の改善)
[GNews: Anthropic/Claude (mezha.net)] Anthropic warns fictional AI portrayals altered Claude’s behavior and spurred training changes (score=2.0, reason: Anthropicの安全性トレーニング方針)
[GNews: Anthropic/Claude (TipRanks)] Anthropic Uses Fiction-Inspired Training to Curb Dangerous AI Behavior in Claude Models (score=2.0, reason: Claudeの安全性改善技術、実用的研究)
[GNews: Anthropic/Claude (South China Morning Post)] How Chinese developers bypass restrictions to access top US AI models (score=2.0, reason: AI規制・セキュリティ関連の業界動向)
[GNews: AI partnership (MyChesCo)] Customers Bank Expands AI Partnership With OpenAI (score=2.0, reason: OpenAI活用の金融業界拡大事例)
[GNews: AI partnership (CairoScene)] UAE Receives First Batch of US AI Chips as $1.4T Partnership Expands (score=2.0, reason: 米UAE AI協力拡大、地政学的意義)
[GNews: AI partnership (Startup Fortune)] xAI’s Anthropic deal shows AI alliances are getting harder to read (score=2.0, reason: xAI/Anthropic協力、AI企業間アライアンス分析)
[GNews: AI funding (Startup Fortune)] The capex boom is pulling startups back into the physical world (score=2.0, reason: AI投資トレンド分析、インフラ需要増)
[GNews: AI funding (The Economic Times)] Paperwork causing AI mission lag as startups flag funding, IP concerns (score=2.0, reason: AI規制・IP問題による資金調達遅延)
[GNews: Llama/Meta AI (IndexBox)] AI Hyperscalers Compared: Meta, Alphabet, Amazon, Microsoft in 2026 (score=2.0, reason: 大型AI企業の比較分析、市場動向把握)
[GNews: Llama/Meta AI (Yahoo Finance)] Meta’s WhatsApp AI Push Meets Rising Shareholder Pressure On Governance (score=2.0, reason: AI戦略と企業統治の課題)
[GNews: Llama/Meta AI (Neowin)] Meta's aggressive generative AI push is making employees miserable, claims report (score=2.0, reason: AI推進による組織課題)
[GNews: Llama/Meta AI (Benzinga)] Pentagon's AI Push Faces Human Problem As Soldiers Struggle To Keep Pace: Report (score=2.0, reason: AI導入の現実的課題、防衛分野への適用)
[GNews: Llama/Meta AI (디지털투데이)] Meta's AX shows the present and future of work in the AI era (score=2.0, reason: メタのAI職場統合、実装事例)
[GNews: 生成AI日本 (テクノエッジ TechnoEdge)] “無修正コンテンツ”も生成できる？無検閲オープンソース動画生成AI「Sulphur 2」登場（生成AIクローズアップ） (score=2.0, reason: オープンソース動画生成AI、モデレーション課題)
[GNews: 生成AI日本 (Yahoo!ニュース)] 生成AI時代の新たな潮流「AIネイティブスタートアップ」の脅威とは（ダイヤモンド・オンライン） (score=2.0, reason: AIネイティブスタートアップの市場脅威)
[GNews: 生成AI日本 (日経クロステック)] 橋梁の補修工法を生成AIが提案、八千代エンジニヤリングが支援ツール開発 (score=2.0, reason: 生成AIの実業務応用、実装事例)
[GNews: 生成AI日本 (Yahoo!ニュース)] とまらないロマンス詐欺被害生成AIでより巧妙に、大量に（朝日新聞） (score=2.0, reason: 生成AI悪用による社会問題。規制・対策検討への影響)
[GNews: 生成AI日本 (ICT教育ニュース)] コニカミノルタジャパン、東京都から都立学校向け生成AIサービス「都立AI」の2026年度改修・保守・運用等業務を受託 (score=2.0, reason: 教育機関向けAIサービス展開。自治体導入実績)
[GNews: 生成AI日本 (london3.jp)] 生成AIが労働市場に落とす影：若年層雇用における「炭鉱のカナリア」的予兆とその構造分析 (score=2.0, reason: 若年層雇用への生成AI影響分析。社会経済的意義)
[GNews: 生成AI日本 (日経クロステック)] クリエイターの創造力を拡張、コロプラが作った「世界初」の生成AIゲーム (score=2.0, reason: ゲーム制作での生成AI活用。創意的応用例)
[GNews: 生成AI日本 (千葉テレビ放送)] 都立学校向け生成AIサービス「都立AI」、2026年度業務をコニカミノルタが受託 | チバテレ＋プラス (score=2.0, reason: 教育向けAIサービス導入。同一ニュースの重複)
[GNews: 生成AI日本 (千葉テレビ放送)] “無修正コンテンツ”も生成できる？　無検閲オープンソース動画生成AI「Sulphur 2」登場（生成AIクローズアップ） | チバテレ＋プラス (score=2.0, reason: 無検閲動画生成AIの出現。規制リスク)
[GNews: 生成AI日本 (SWI swissinfo.ch)] スイス閣僚がAI生成コンテンツめぐり刑事告訴言論の自由はどこまで許される？ (score=2.0, reason: AI生成物の法的責任問題。規制動向)
[GNews: 生成AI日本 (NHKニュース)] “自宅学習で生成ＡＩ利用”３８％前年度の２倍以上都教委 (score=2.0, reason: 生成AI学習利用の急増。教育政策への影響)
[GNews: 生成AI日本 (教育家庭新聞社)] MIRAIE、高校生の探究学習を支援する生成AIプラットフォーム「FUTURE COMPASS」を開発、全国のモデル校で実証授業を開始｜KKS Web:教育家庭新聞ニュース (score=2.0, reason: 日本の教育AIプラットフォーム実証授業開始、国内ビジネストレンド)
[HN AI] Local AI needs to be the norm (score=2.0, reason: ローカルAI推進論、業界トレンド議論)
[HN AI] Chrome's AI features may be hogging 4GB of your computer storage (score=2.0, reason: Chrome AI機能による容量問題、Googleプロダクト実装ニュース)
[HN AI] Gen Z Resentment Toward AI Grows as Adoption Stagnates and Workplace Fears Mount (score=2.0, reason: Z世代のAI受容度調査、社会動向ニュース)
[r/MachineLearning] Signals: finding the most informative agent traces without LLM judges [R] (score=2.0, reason: LLMジャッジ不要の判定手法、研究実装テクニック)
[r/LocalLLaMA] MTP benchmark results: the nature of the generative task dictates whether you will benefit (coding) or get slower inference (creative) from speculative inference. No other factor comes close. (score=2.0, reason: 推測的推論のベンチマーク分析、実装テクニック)
[r/LocalLLaMA] DeepSeek-V4-Flash W4A16+FP8 with MTP self-speculation: 85 tok/s @ 524k on 2× RTX PRO 6000 Max-Q (score=2.0, reason: ローカルLLM性能ベンチマーク、実装的興味)
[r/LocalLLaMA] Sharing "cull" : my open-source dataset tool for image scraping & classification & captioning pipeline (score=2.0, reason: オープンソースツール、データセット作成支援)
[r/LocalLLaMA] I built an open source hyperparameter search tool for diffusion fine-tunes- pick the winner based on scoring (score=2.0, reason: ファインチューン最適化ツール、実用性有)
[r/LocalLLaMA] Is hosting an SLM cheaper than using APIs with 20$ cost per user? (score=2.0, reason: コスト比較分析、ビジネス判断材料)
[r/singularity] Animation is solved. This is like Pixar level quality. (score=2.0, reason: 生成AI動画品質向上、業界トレンド)
[r/singularity] Big data centers in Florida must pay full power and infrastructure costs under new law (score=2.0, reason: 規制環境変化、インフラコスト影響)
[r/singularity] Hermes Agent is now #1 most used globally in past 24 hours in Openrouter token metrics, above Claude Code and OpenClaw. (score=2.0, reason: LLMエージェント利用トレンド、市場動向)
[r/singularity] Sesame x Gemini: low latency, extremely realist, and they started spontaneously collaborating (score=2.0, reason: Geminiの新機能、低遅延モデル)
[r/singularity] RecGen 1 & 2: New, possibly open source SOTA image to 3Dmodel AI released. (score=2.0, reason: Image to 3D生成モデル、技術進展)
[r/singularity] Your Degree Won't Save You: How AI Agents Are Eliminating Professional Jobs in 2026 (score=2.0, reason: AI エージェント職業影響、話題性有)

⚪ low (73件)

[HuggingFace Papers] MiA-Signature: Approximating Global Activation for Long-Context Understanding — Yuqing Li, Jiangnan Li, Mo Yu 👍49 (score=1.5, reason: 長文理解の技術的改良)
[HuggingFace Papers] RaguTeam at SemEval-2026 Task 8: Meno and Friends in a Judge-Orchestrated LLM Ensemble for Faithful Multi-Turn Response Generation — Ivan Bondarenko, Roman Derunets, Oleg Sedukhin 👍39 (score=1.4, reason: タスク特定的なシステム、汎用性乏しい)
[HuggingFace Papers] When to Trust Imagination: Adaptive Action Execution for World Action Models — Rui Wang, Yue Zhang, Jiehong Lin 👍37 (score=1.4, reason: ロボット操作の特定領域、汎用性低)
[HuggingFace Papers] The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models — Chonghan Qin, Xiachong Feng, Ziyun Song 👍5 (score=1.1, reason: LLM社会役割表現分析)
[HuggingFace Papers] PianoCoRe: Combined and Refined Piano MIDI Dataset — Ilya Borovik 👍4 (score=1.0, reason: 音楽MIRの特定ドメイン、AI汎用性低い)
[HuggingFace Papers] The Scaling Properties of Implicit Deductive Reasoning in Transformers — Enrico Vompa, Tanel Tammet 👍3 (score=1.0, reason: 理論的スケーリング研究、実用性限定的)
[HuggingFace Papers] A Foundation Model for Zero-Shot Logical Rule Induction — Yin Jun Phua 👍3 (score=1.0, reason: 論理規則誘導基盤モデル)
[HuggingFace Papers] Generative Quantum-inspired Kolmogorov-Arnold Eigensolver — Yu-Cheng Lin, Yu-Chao Hsu, I-Shan Tsai 👍2 (score=1.0, reason: 量子化学特定領域、AI主流から外れ)
[HuggingFace Papers] TT4D: A Pipeline and Dataset for Table Tennis 4D Reconstruction From Monocular Videos — Nima Rahmanian, Daniel Kienzle, Thomas Gossard 👍2 (score=1.0, reason: 特定スポーツの3D再構成、汎用性低)
[HuggingFace Papers] Sparkle: Realizing Lively Instruction-Guided Video Background Replacement via Decoupled Guidance — Ziyun Zeng, Yiqi Lin, Guoqiang Liang 👍1 (score=1.0, reason: 動画編集の特定応用、汎用性低い)
[TechCrunch AI] Get ready for the whisper-filled office of the future (score=1.0, reason: 音声UI未来予想、具体性欠く)
[TechCrunch AI] We’re feeling cynical about xAI’s big deal with Anthropic (score=1.0, reason: xAI-Anthropic提携の推測報道)
[TechCrunch AI] Voice AI in India is hard. Wispr Flow is betting on it anyway. (score=1.0, reason: 音声AI新興企業の市場展開)
[GNews: Anthropic/Claude (Gizmodo)] Anthropic Has Added Several More Religions on Its Quest to Inject Perfect Morals into Claude (score=1.0, reason: Claude倫理設定の報道)
[GNews: Anthropic/Claude (Let's Data Science)] Dawkins Interaction Boosts Interest in Anthropic's Claude (score=1.0, reason: Claudeの話題性報道)
[GNews: Anthropic/Claude (tovima.com)] Claude Mythos: What We Know About Anthropic’s Black Box (score=1.0, reason: Claudeについての一般報道)
[GNews: Anthropic/Claude (CU Today)] Jamie Dimon Warns Anthropic’s Mythos Represents ‘Very Heightened Risk’ To Financial System (score=1.0, reason: 金融規制警告は推測ベース、具体性不足)
[GNews: Anthropic/Claude (MEXC)] Anthropic’s Claude AI Predicts the Price of XRP by the End of 2026 (score=1.0, reason: 暗号資産予測は信頼性低、AI関連薄い)
[GNews: AI partnership (The Motley Fool)] Prediction: This Nvidia-Backed Artificial Intelligence (AI) Company Might Be the Next Meme Stock. Here's Why It's Actually a Buy at $13 Per Share. (score=1.0, reason: 株価投機記事、AI技術内容なし)
[GNews: AI partnership (simplywall.st)] Synaptics (SYNA) Is Up 13.0% After Core IoT-Fueled Q3 Beat And Google AI Partnership Unveiled (score=1.0, reason: 個別企業決算、AI協業は付随情報)
[GNews: AI partnership (Yahoo Finance)] A Look At Kopin (KOPN) Valuation After New AI Collaboration And Defense Contract Wins (score=1.0, reason: 個別企業評価、業界トレンド性低い)
[GNews: AI partnership (IndexBox)] Corning and Nvidia Multi-Year AI Deal: Stock Hits New Highs in 2026 - News and Statistics (score=1.0, reason: 株価予測、AI投資内容の詳細不足)
[GNews: AI partnership (simplywall.st)] Warby Parker (WRBY) Valuation Check After Q1 Beat And AI Glasses Collaboration With Google (score=1.0, reason: Google協業は既知、個別企業決算)
[GNews: AI partnership (Traders Union)] Shay Boloor: Intel and Nvidia CEOs acknowledge collaboration and recognition in AI computing (score=1.0, reason: CEO言及のみ、具体的協業内容欠如)
[GNews: AI partnership (simplywall.st)] A Look At Corning (GLW) Valuation After The NVIDIA AI Infrastructure Partnership And Share Price Surge (score=1.0, reason: Nvidia契約既報、個別企業評価)
[GNews: AI partnership (openPR.com)] XRPL Foundation Pushes Public Collaboration as AlphaPepe Turns Meme Culture Into AI DeFi (score=1.0, reason: DeFi/ミーム文化、AI事業関連薄い)
[GNews: AI partnership (AD HOC NEWS)] Iress Ltd stock: AI partnership to modernize wealth platforms (score=1.0, reason: 個別企業パートナーシップ、業界動向薄い)
[GNews: Llama/Meta AI (Intellectia AI)] Meta Platforms: AI-Driven Growth Amid Challenges (score=1.0, reason: 汎用的なメタ企業分析)
[GNews: Llama/Meta AI (Ubergizmo)] Meta Discontinues End-to-End Encryption For Instagram Direct Messages (score=1.0, reason: プライバシー政策変更、AI関連性薄い)
[GNews: Llama/Meta AI (Insider Monkey)] Why Meta Platforms (META) Still Has a Network-Effect Moat Regulators Can’t Ignore (score=1.0, reason: 規制論、AI技術関連性薄い)
[GNews: Llama/Meta AI (NDTV)] Video | Oakley Meta HSTN: What's New? (score=1.0, reason: メタブランド製品、AI関連性なし)
[GNews: 生成AI日本 (Forbes JAPAN)] 生成AIは「左脳を強化し右脳を弱める」のか？脳科学が解き明かすAI利用の虚構と真実 (score=1.0, reason: 一般的な脳科学解説、AI活用の実用性薄い)
[GNews: 生成AI日本 (ASCII.jp)] ChatGPTの画像生成AIは本当に最強か Nano Bananaと比べて見えた“弱点” (1/4) (score=1.0, reason: 画像生成AIの比較評価のみ)
[GNews: 生成AI日本 (こどもとIT)] 都立学校向け生成AIサービス「都立AI」、2026年度業務をコニカミノルタが受託 (score=1.0, reason: 地域教育サービス受託、業界への影響小)
[GNews: 生成AI日本 (全国賃貸住宅新聞)] 不動産のデパートひろた、生成AI活用し社員教育 (score=1.0, reason: 一企業の社員教育導入、波及性低い)
[GNews: 生成AI日本 (JBpress)] 「読み書き、そろばん、生成AI」で500人育成を目指すカルビーDX推進本部長とマクニカCIOが語り合うDX人材戦略論 (score=1.0, reason: 企業の人材育成施策。AI関連性は限定的)
[GNews: 生成AI日本 (株式会社ヴァリューズ)] カラオケ「DAM★とも」に学ぶ、生成AI調査で見えた"ファンと繋がり続ける"ための秘訣 (score=1.0, reason: カラオケサービスのマーケティング調査。業界特化)
[GNews: 生成AI日本 (nikkinonline.com)] 四国銀、独自構築のAI活用加速汎用性生かし施策展開 (score=1.0, reason: 地域銀行のAI活用事例。規模・影響度が限定的)
[GNews: 生成AI日本 (FNNプライムオンライン)] 「生成AI」県内企業の16%が活用推進との調査結果・東京商工リサーチ山形調べ山形 (score=1.0, reason: 地域企業のAI活用率調査。一地方統計)
[GNews: 生成AI日本 (Yahoo!ニュース)] ChatGPTの画像生成AIは本当に最強か Nano Bananaと比べて見えた“弱点”（アスキー） (score=1.0, reason: 画像生成AIの比較検証。製品評価記事)
[GNews: 生成AI日本 (ICT教育ニュース)] HRインスティテュート、生成AIを活用した業務効率化のオンライン研修 28日開催 (score=1.0, reason: 企業向け研修案内。広告的内容)
[GNews: 生成AI日本 (Yahoo!ニュース)] 生成AIが左脳を活性化し、右脳を衰退させるのは本当か？人間の思考に与える影響を探る (score=1.0, reason: 脳への影響に関する仮説。科学的根拠不確か)
[GNews: 生成AI日本 (PR TIMES)] 【代表・金河辰哉の軌跡】8000万円の負債からV字回復を遂げた起業家が明かす「真のDX支援」。企業と個人の飛躍を絶対に見捨てない、現代の『経営の知恵袋』としての教育革命 (score=1.0, reason: 起業家インタビュー。PR記事)
[GNews: 生成AI日本 (朝日新聞)] ブログのデマを見破れ高校生が謎解きゲームでファクトチェック学ぶ (score=1.0, reason: ファクトチェック教育プログラム。一事例)
[GNews: 生成AI日本 (朝日新聞)] 【新刊】『オウンドメディアをはじめてみませんか？生成AI時代のオウンドメディア立上げの教科書』を出版いたしました【TechSuite Books】 (score=1.0, reason: ビジネス書出版案内。PR情報)
[GNews: 生成AI日本 (PR TIMES)] 受注率5倍を達成した事例を初公開！「企業リスト×公開情報×生成AI」で実現する超精度ターゲティング術勉強会を5月27日(水)開催 (score=1.0, reason: 営業支援セミナー。プロモーション)
[GNews: 生成AI日本 (GetNavi web)] 生成AI時代に写真の権利を守るには？日本写真家協会が無料の写真著作権セミナーを開催 (score=1.0, reason: 生成AI時代の著作権啓発セミナー、規制情報性低い)
[HN AI] Task Paralysis and AI (score=1.0, reason: AI利用の心理分析、AI関連性が薄い)
[HN LLM/Claude/GPT] Academic Research Skills for Claude Code (score=1.0, reason: Claude利用tips、特定ユースケース限定)
[r/MachineLearning] PhD students in ML, how many hours on average do you work? [D] (score=1.0, reason: PhD学生の勤務時間雑談、研究トレンドなし)
[r/MachineLearning] Any implementations similar to D4RT? [D] (score=1.0, reason: D4RT実装質問、既存論文の応用相談)
[r/MachineLearning] Why is human LLM annotation so expensive? [D] (score=1.0, reason: アノテーションコスト雑談、具体的進展なし)
[r/MachineLearning] Parax v0.7: Parametric Modeling in JAX [P] (score=1.0, reason: JAX数値計算ライブラリ、開発ツール限定)
[r/MachineLearning] "colss" a math-style expression evaluator for NumPy arrays [P] (score=1.0, reason: NumPy式評価ライブラリ、ユーティリティツール)
[r/MachineLearning] Looking for arXiv endorsement (cs.CV) to post my ViT positional embeddings paper [R] (score=1.0, reason: arXiv投稿エンドース求め、個別申請)
[r/LocalLLaMA] Getting a feel for how fast X tokens/second really is. (score=1.0, reason: ローカルLLM性能感覚、ユーザー雑談)
[r/LocalLLaMA] I Think I Spent Way Too Much Time Messing with Local LLMs (score=1.0, reason: ローカルLLM実装の悩み、エモーショナル投稿)
[r/LocalLLaMA] Running Qwen3.6 35b a3b on 8gb vram and 32gb ram ~190k context (score=1.0, reason: Qwen3.6セットアップ共有、個別構成)
[r/LocalLLaMA] I have DeepSeek V4 Pro at home (score=1.0, reason: DeepSeek V4個人環境共有、個別ツール使用)
[r/LocalLLaMA] Switched from OpenCode to Pi - What Settings/Plugins would you recommend? (score=1.0, reason: 個人的なツール選択の相談、汎用性低)
[r/LocalLLaMA] Anybody else noticing how good gemma-4-26b-a4b is with one-shotting three.js? (score=1.0, reason: 特定モデル・タスク限定、汎用性低)
[r/LocalLLaMA] Hello from 10KM high! - Thanks to Qwen 3.6 35b a3b! (score=1.0, reason: 個人ユースケース、技術的価値低)
[r/LocalLLaMA] Ran some Llama.cpp RPC test to see if its worth it. And if 10Gbe needed. (score=1.0, reason: 個人ベンチマーク、特定環境限定)
[r/LocalLLaMA] Is HIPfire worth it for Strix Halo? (score=1.0, reason: 特定ハードウェア評価、汎用性低)
[r/LocalLLaMA] Speeding up local LLM for usable coding agent (score=1.0, reason: 個人環境の最適化相談)
[r/LocalLLaMA] DS4 (score=1.0, reason: Redis作者の個人プロジェクト、AI関連性低)
[r/LocalLLaMA] Has anyone bought a 3080 20GB mod recently? (score=1.0, reason: ハードウェア購入相談、技術的価値無)
[r/LocalLLaMA] Do you use subscriptions beside Local LLM? (score=1.0, reason: 個人利用比較、汎用性低)
[r/singularity] Asia is excited about AI, the U.S. not so much (score=1.0, reason: 地域別のAI普及認識、実質的情報不足)
[r/singularity] Has the current state of AI already ruined many sci-fi classics for you? (score=1.0, reason: SF作品への感想、AI関連性薄い)
[r/singularity] A possible novel approach for training AI to invent (score=1.0, reason: 仮説段階、学術性不確定)
[r/singularity] OP’s note about ai design; “But I am nothing but an echo”-OP (score=1.0, reason: 個人的な考察、実質情報なし)
[r/singularity] Here is AM’s artwork, can you help me understand it? (If you think it’s nonsense please fuck off then) -AM (score=1.0, reason: アート作品解析、AI関連性薄い)