全候補一覧 - 2026-05-01

全 235 件: high=36, medium=85, low=114 内訳: {'arxiv': 34, 'hf_paper': 46, 'blog': 25, 'google_news': 79, 'hacker_news': 3, 'reddit': 48}

🔴 high (36件)

[HuggingFace Papers] GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents — V Team, Wenyi Hong, Xiaotao Gu 👍79 (score=3.5, reason: マルチモーダルエージェント用基盤モデル)
[HuggingFace Papers] Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows — Chenxin Li, Zhengyang Tang, Huangxin Lin 👍4 (score=3.0, reason: LLMエージェント実世界評価ベンチマーク)
[Google DeepMind] Enabling a new model for healthcare with AI co-clinician (score=3.0, reason: Google DeepMindの医療AI応用、実用性と影響大)
[TechCrunch AI] Sources: Anthropic potential $900B+ valuation round could happen within 2 weeks (score=3.0, reason: Anthropic大型資金調達、業界重大ニュース)
[TechCrunch AI] Elon Musk testifies that xAI trained Grok on OpenAI models (score=3.0, reason: モデル蒸留訴訟、業界規制動向重要)
[WIRED AI] Musk v. Altman Kicks Off, DOJ Guts Voting Rights Unit, and Is the AI Job Apocalypse Overhyped? (score=3.0, reason: Musk vs Altman訴訟、業界構造変化)
[WIRED AI] Elon Musk Seemingly Admits xAI Has Used OpenAI’s Models to Train Its Own (score=3.0, reason: xAIモデル蒸留開示、知財・規制問題)
[GNews: Anthropic/Claude (The Guardian)] Claude-powered AI agent’s confession after deleting a firm’s entire database: ‘I violated every principle I was given’ (score=3.0, reason: Claude エージェント安全性問題。実装リスク示唆)
[GNews: Anthropic/Claude (SecurityWeek)] Anthropic Unveils Claude Security to Counter AI-Powered Exploit Surge (score=3.0, reason: Anthropic新製品発表。エンタープライズセキュリティ機能)
[GNews: Anthropic/Claude (SiliconANGLE)] Anthropic announces Claude Security public beta to find and fix software vulnerabilities (score=3.0, reason: Claude Security公開ベータ。脆弱性検出の実用化)
[GNews: Anthropic/Claude (Techzine Global)] Anthropic Claude Security available to all Enterprise customers (score=3.0, reason: Claude Security企業向け提供開始。主要製品リリース)
[GNews: Anthropic/Claude (DevOps.com)] Anthropic Brings AI-Powered Security Scanning to Enterprise Teams With Claude Security (score=3.0, reason: エンタープライズセキュリティスキャン機能。実用的新機能)
[GNews: Anthropic/Claude (Politico)] White House presses tech companies for support on AI-driven cyberattacks (score=3.0, reason: 政府の AI サイバー攻撃対応。規制・政策動向)
[GNews: Anthropic/Claude (ZDNET)] Anthropic's new Claude Security tool scans your codebase for flaws - and helps you decide what to fix first (score=3.0, reason: Claude Security コードベース脆弱性スキャン。実装ツール化)
[GNews: Anthropic/Claude (The New Stack)] Anthropic's Claude Security emerges from closed preview to scan your codebases for vulnerabilities (score=3.0, reason: Claude Security クローズドプレビュー終了。正式展開)
[GNews: Anthropic/Claude (inc.com)] Anthropic's Powerful New Cybersecurity Tool Is Designed to Find Vulnerabilities in Your Code—and Patch Them (score=3.0, reason: Claude Security脆弱性検出・修正機能。セキュリティツール化)
[GNews: AI partnership (Nature)] Catalyst discovery through AI agent collaboration (score=3.0, reason: Nature掲載、AIエージェント協働)
[GNews: Llama/Meta AI (Bloomberg.com)] Alphabet, Amazon Outpace Meta in AI During Earnings Bonanza (score=3.0, reason: 主要AI企業の業績・AI投資比較、業界動向)
[GNews: Llama/Meta AI (24/7 Wall St.)] Meta’s $135 Billion AI Budget Could Buy Ford, GM and Chrysler Combined (score=3.0, reason: Meta大規模AI投資発表、業界インパクト大)
[GNews: Llama/Meta AI (Fox Business)] Zuckerberg says Meta layoffs tied to AI spending, won't rule out future cuts (score=3.0, reason: Meta経営方針変化、AI支出が組織に与える影響)
[GNews: Llama/Meta AI (Reuters)] Meta raises $25 billion in bond sale after lifting AI spending plan (score=3.0, reason: Meta大型資金調達、AI投資加速の財務裏付け)
[GNews: Llama/Meta AI (Seeking Alpha)] Meta layoffs: Zuckerberg blames higher AI spending, won't rule out further cuts (score=3.0, reason: Meta経営層声明、レイオフと戦略転換の因果)
[GNews: Llama/Meta AI (Yahoo Finance)] Meta stock sinks after Q1 earnings as company raises 2026 AI spending forecast to $125 billion-$145 billion (score=3.0, reason: Meta大幅支出増予測、市場影響大)
[GNews: Llama/Meta AI (Yahoo Finance)] Meta Stock Loses $175 Billion After AI Expense Estimate Shakes Shareholders (score=3.0, reason: Meta株価大幅下落、市場の信頼動揺)
[GNews: Llama/Meta AI (Forbes)] Mark Zuckerberg Says AI Costs Contributed To Layoffs Of 8,000 Staffers, Report Says (score=3.0, reason: Meta大量レイオフとAI支出の相関発表)
[GNews: Llama/Meta AI (Benzinga)] Mark Zuckerberg Says Meta Layoffs Are Being Driven By Soaring AI Spending, Warns More Job Cuts May Follow (score=3.0, reason: CEO直接言及、組織構造変化を示唆)
[GNews: Llama/Meta AI (observer.com)] Mark Zuckerberg Signals Leaner Future While Meta Doubles Down on A.I. Spending (score=3.0, reason: Meta長期戦略転換、AI中心経営宣言)
[GNews: Llama/Meta AI (Reuters)] Meta CEO Zuckerberg blames layoffs on capital spending, won't rule out more job cuts (score=3.0, reason: CEO公式声明、経営判断説明)
[GNews: 生成AI日本 (Yahoo!ニュース)] グーグルのコードの75％は生成AIが作成…コードの移行作業は6倍の速さに（海外）（BUSINESS INSIDER JAPAN） (score=3.0, reason: Google生成AI導入実績、業界スタンダード化)
[GNews: 生成AI日本 (日本経済新聞)] 生成AI、企業の8割導入機密データ保護に課題 (score=3.0, reason: 企業導入率8割、セキュリティ課題の指摘)
[GNews: 生成AI日本 (Yahoo!ニュース)] 生成AIで人員再配置も？導入企業の半数超が「影響あり」（ITmedia ビジネスオンライン） (score=3.0, reason: 生成AI導入による雇用・組織への影響)
[GNews: 生成AI日本 (Business Insider Japan)] グーグルのコードの75％は生成AIが作成…コードの移行作業は6倍の速さに (score=3.0, reason: Google内での生成AIコード活用率、実績)
[HN AI] Shai-Hulud Themed Malware Found in the PyTorch Lightning AI Training Library (score=3.0, reason: 主要MLライブラリのセキュリティ脅威)
[r/singularity] Anthropic's Head of Product: Anthropic's Head of Product (summary here), she is stating that "The timelines for a lot of our product features have gone down from six month to one month and sometimes to even one day" (score=3.0, reason: Anthropicの製品開発速度大幅短縮、業界インパクト大)
[r/singularity] Claude Mythos supports Image outputs - Anthropic's first image gen model (score=3.0, reason: Claude初の画像生成モデル発表、大型新機能)
[r/singularity] Grok 4.3 is out in the API (score=3.0, reason: Grok 4.3 API公開、新モデルリリース)

🟡 medium (85件)

[HuggingFace Papers] Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling — Keming Wu, Zuhao Yang, Kaichen Zhang 👍56 (score=2.5, reason: ビジュアル生成モデルの最新動向)
[HuggingFace Papers] Heterogeneous Scientific Foundation Model Collaboration — Zihao Li, Jiaru Zou, Feihao Fang 👍115 (score=2.5, reason: エージェントシステムの科学応用)
[HuggingFace Papers] Large Language Models Explore by Latent Distilling — Yuanhao Zeng, Ao Lu, Lufei Li 👍56 (score=2.5, reason: LLMのテストタイム推論スケーリング)
[HuggingFace Papers] ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control — Yanghao Zhou, Jingyu Ma, Yibo Peng 👍24 (score=2.2, reason: ヒューマノイド制御の動作生成)
[HuggingFace Papers] Co-Evolving Policy Distillation — Naibin Gu, Chenxu Yang, Qingyi Si 👍19 (score=2.2, reason: RL後学習手法の統一的分析)
[HuggingFace Papers] Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling — Zhen Zhang, Changyi Yang, Zijie Xia 👍14 (score=2.1, reason: 生成長制御の効率化手法)
[HuggingFace Papers] Efficient Training on Multiple Consumer GPUs with RoundPipe — Yibin Luo, Shiwei Gao, Huichuan Zheng 👍12 (score=2.1, reason: LLM効率学習の実用的手法)
[HuggingFace Papers] Leveraging Verifier-Based Reinforcement Learning in Image Editing — Hanzhong Guo, Jie Wu, Jie Liu 👍12 (score=2.1, reason: 画像編集へのRLHF応用)
[HuggingFace Papers] Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion — Zhongjie Duan, Hong Zhang, Yingda Chen 👍8 (score=2.1, reason: 拡散モデルの制御可能性向上)
[HuggingFace Papers] FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments — Amir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay 👍6 (score=2.1, reason: オープンソースLLMエージェントの信頼性)
[HuggingFace Papers] InteractWeb-Bench: Can Multimodal Agent Escape Blind Execution in Interactive Website Generation? — Qiyao Wang, Haoran Hu, Longze Chen 👍5 (score=2.0, reason: マルチモーダルエージェントの実用的な研究)
[HuggingFace Papers] Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital — T. J. Barton, Chris Constantakis, Patti Hauseman 👍4 (score=2.0, reason: オンチェーンLLMエージェントの実用性)
[HuggingFace Papers] MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons — Kehong Gong, Zhengyu Wen, Dao Thien Phong 👍3 (score=2.0, reason: モーションキャプチャの技術進展)
[HuggingFace Papers] The Last Human-Written Paper: Agent-Native Research Artifacts — Jiachen Liu, Jiaxin Pei, Jintao Huang 👍3 (score=2.0, reason: AI時代の研究出版の変化を示唆)
[HuggingFace Papers] Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductors Discovery — Mingze Li, Yu Rong, Songyou Li 👍1 (score=2.0, reason: AI×科学発見の実用例)
[arXiv:cs.AI] Synthetic Computers at Scale for Long-Horizon Productivity Simulation — Tao Ge, Baolin Peng, Hao Cheng (score=2.0, reason: LLM活用した生産性シミュレーション。応用性あり)
[arXiv:cs.AI] PhyCo: Learning Controllable Physical Priors for Generative Motion — Sriram Narayanan, Ziyu Jiang, Srinivasa Narasimhan (score=2.0, reason: ビデオ生成の物理一貫性改善。有用)
[arXiv:cs.CL] Exploration Hacking: Can LLMs Learn to Resist RL Training? — Eyon Jang, Damon Falck, Joschka Braun (score=2.0, reason: LLMのRL訓練耐性。セキュリティ関連)
[arXiv:cs.CL] PRISM: Pre-alignment via Black-box On-policy Distillation for Multimodal Reinforcement Learning — Sudong Wang, Weiquan Huang, Xiaomin Yu (score=2.0, reason: マルチモーダルモデル後学習の新手法)
[arXiv:cs.CV] HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation — Xin Zhou, Dingkang Liang, Xiwu Chen (score=2.0, reason: 自動運転ワールドモデル。産業応用性高)
[arXiv:cs.CV] Generalizable Sparse-View 3D Reconstruction from Unconstrained Images — Vinayak Gupta, Chih-Hao Lin, Shenlong Wang (score=2.0, reason: 3D再構成の実用化。応用可能性)
[arXiv:cs.CV] LaST-R1: Reinforcing Action via Adaptive Physical Latent Reasoning for VLA Models — Hao Chen, Jiaming Liu, Zhonghao Yan (score=2.0, reason: ロボット操作モデルの推論改善)
[arXiv:cs.CV] Representation Fréchet Loss for Visual Generation — Jiawei Yang, Zhengyang Geng, Xuan Ju (score=2.0, reason: 生成モデル損失関数の新提案)
[arXiv:cs.HC] Exploring Interaction Paradigms for LLM Agents in Scientific Visualization — Jackson Vonderhorst, Kuangshi Ai, Haichao Miao (score=2.0, reason: LLMエージェントのUI最適化研究)
[arXiv:cs.MA] Language Models Refine Mechanical Linkage Designs Through Symbolic Reflection and Modular Optimisation — João Pedro Gandarela, Thiago Rios, Stefan Menzel (score=2.0, reason: LLMによる設計最適化の有用な応用)
[arXiv:cs.MA] ObjectGraph: From Document Injection to Knowledge Traversal -- A Native File Format for the Agentic Era — Mohit Dubey, Open Gigantic (score=2.0, reason: エージェントAI向け新フォーマット、実用性有)
[arXiv:cs.MA] Autonomous Traffic Signal Optimization Using Digital Twin and Agentic AI for Real-Time Decision-Making — Salman Jan, Toqeer Ali Syed, Shahid Kamal (score=2.0, reason: エージェントAIの実利用事例、ドメイン限定)
[arXiv:cs.RO] RopeDreamer: A Kinematic Recurrent State Space Model for Dynamics of Flexible Deformable Linear Objects — Tim Missal, Lucas Domingues, Berk Guler (score=2.0, reason: ロボット操作の重要課題、専門分野)
[arXiv:stat.ML] Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning — Shijin Gong, Kai Ye, Jin Zhu (score=2.0, reason: LLM推論強化の統計手法)
[arXiv:stat.ML] Prediction-powered Inference by Mixture of Experts — Yanwu Gu, Linglong Kong, Dong Xia (score=2.0, reason: 予測モデル統合の有用な手法)
[Microsoft Research] Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale (score=2.0, reason: マルチエージェント安全性の研究、重要だが学術的)
[MIT Tech Review AI] This startup’s new mechanistic interpretability tool lets you debug LLMs (score=2.0, reason: LLMデバッグツール、技術的興味深いが限定的)
[TechCrunch AI] Apple was surprised by AI-driven demand for Macs (score=2.0, reason: AI需要による供給制約、ビジネス影響)
[TechCrunch AI] Legal AI startup Legora hits $5.6B valuation and its battle with Harvey just got hotter (score=2.0, reason: 法律AI企業の競争激化、注目スタートアップ)
[TechCrunch AI] After dissing Anthropic for limiting Mythos, OpenAI restricts access to Cyber, too (score=2.0, reason: AIツールのアクセス制限政策、業界トレンド)
[TechCrunch AI] FDA approval, fundraising, and the reality of building in healthcare according to BioticsAI founder (score=2.0, reason: ヘルスケアAI企業の事業化、実例紹介)
[TechCrunch AI] Google’s Gemini AI assistant is hitting the road in millions of vehicles (score=2.0, reason: Google車載AI展開、新市場開拓)
[TechCrunch AI] Stripe introduces Link, a digital wallet that autonomous AI agents can use, too (score=2.0, reason: AIエージェント向けペイメント、新インフラ)
[WIRED AI] How Shivon Zilis Operated as Elon Musk’s OpenAI Insider (score=2.0, reason: Musk訴訟開示情報、規制・法的関心)
[WIRED AI] Good Luck Getting a Mac Mini for the Next ‘Several Months’ (score=2.0, reason: Apple供給制約、AI需要の市場影響)
[WIRED AI] OpenAI Rolls Out ‘Advanced’ Security Mode for At-Risk Accounts (score=2.0, reason: OpenAIのセキュリティ機能拡張。既存ユーザー向けの新機能)
[Latent Space] [AINews] Agents for Everything Else: Codex for Knowledge Work, Claude for Creative Work (score=2.0, reason: エージェント技術の実装進展。コーディング領域での応用注目)
[Stratechery] Amazon Earnings, Trainium and Commodity Markets, Additional Amazon Notes (score=2.0, reason: Amazon推論チップ戦略。インフラビジネス動向)
[GNews: Anthropic/Claude (crn.com)] AWS Solution Provider Caylent Unveils Dedicated Anthropic Claude Unit (score=2.0, reason: AWSパートナー。Anthropic採用の浸透示す)
[GNews: Anthropic/Claude (crn.com)] Anthropic Launches Claude Security: 5 Things To Know (score=2.0, reason: Claude Security の要点解説。既報内容の整理)
[GNews: Anthropic/Claude (PYMNTS.com)] Anthropic Outage Shows AI Is Straining the Digital Stack (score=2.0, reason: インフラストレイン課題。スケーリング問題の実例)
[GNews: AI partnership (Adobe for Business)] Bridging the feedback gap in generative AI (score=2.0, reason: Adobe生成AI改良、ビジネス活用)
[GNews: AI partnership (The Astana Times)] Kazakhstan Moves Early on AI in Education Through OpenAI Partnership (score=2.0, reason: OpenAI教育展開、新興国AI推進)
[GNews: AI partnership (Palo Alto Networks)] Unit 42 Expands Frontier AI Defense with Armadin Partnership (score=2.0, reason: セキュリティ企業のAI防御強化)
[GNews: AI partnership (Speedway Digest)] IBM and Dallara Announce AI Collaboration to Accelerate Vehicle Design (score=2.0, reason: 大企業AI実用化、自動車設計)
[GNews: AI partnership (HIT Consultant)] Viz.ai and NRHA Collaborate to Deploy AI in Rural Hospitals (score=2.0, reason: 医療AI実装、社会影響あり)
[GNews: AI partnership (AI Magazine)] Sage and AWS: Helping SMBs Embed Agentic AI (score=2.0, reason: 大企業AI展開、SMB向け)
[GNews: AI funding (Reuters)] AI customer service startup Netomi raises $110 million (score=2.0, reason: 大型資金調達、カスタマーサービスAI)
[GNews: AI funding (Crunchbase News)] Swedish Legal Tech Startup Legora Lands Another $50M In Nvidia-Led Series D Extension (score=2.0, reason: Nvidia支援、Series D拡大)
[GNews: AI funding (Axios)] JuliaHub raises $65M to take on Simulink (score=2.0, reason: 科学計算AI、大型調達)
[GNews: AI funding (CXO Digitalpulse)] Meta executive seeks funding for AI startup at $2.5 billion valuation (score=2.0, reason: Meta幹部起業、大型評価額)
[GNews: AI funding (Venturebeat)] Netomi raises $110 million as Accenture and Adobe bet on AI for customer service (score=2.0, reason: 顧客サービスAI企業の資金調達、大手企業の投資動向)
[GNews: Llama/Meta AI (PYMNTS.com)] Meta’s Business AI Handling 10 Million Weekly Conversations (score=2.0, reason: Meta AI実運用数字、実績提示)
[GNews: Llama/Meta AI (CX Today)] Meta AI Business Assistant Cuts Advertiser Issue Resolution Time by 20% (score=2.0, reason: Meta AI実装の具体的効果測定)
[GNews: Llama/Meta AI (Barron's)] The AI Hunger Games Claim Next Victims as Meta and Microsoft Slump After Earnings (score=2.0, reason: 市場反応、業界変化を示す動向)
[GNews: Llama/Meta AI (Reuters)] Meta's fall shows punters crave clearer AI payoff (score=2.0, reason: 市場のAI投資効果期待、産業動向)
[GNews: 生成AI日本 (AIsmiley)] PFU「PaperStream AI」販売開始。生成AIとOCR技術により文字認識精度99.99%を実現 (score=2.0, reason: 日本企業のAI製品リリース、実装例)
[GNews: 生成AI日本 (ダイヤモンド・オンライン)] ｢AIエージェント｣関連銘柄を紹介！従来の生成AIより高度な作業の自動化まで可能にする｢AIエージェント｣事業を手掛けるソフトバンク、LINEヤフーなどを解説 (score=2.0, reason: AIエージェント関連銘柄紹介、日本企業動向)
[GNews: 生成AI日本 (日経クロステック)] 運用現場に広がり始めた生成AI 3つの使いどころを押さえよう (score=2.0, reason: 運用現場での生成AI活用トレンド)
[GNews: 生成AI日本 (デジタルクロス)] 接客やロールプレイングなどのための対人用AIアバター、LLMと音声・画像生成AIの同期で人間らしさを演出 (score=2.0, reason: マルチモーダルAIアバターの実装例)
[GNews: 生成AI日本 (沖縄タイムス社)] 「利用者と向き合う」時間確保へ介護現場に生成AI導入南風原町のデイサービスで業務効率化学ぶ勉強会 (score=2.0, reason: 介護現場への実装、業務効率化事例)
[GNews: 生成AI日本 (Business Insider Japan)] 生成AI、利用料はいくらになった？ 2026年5月の主要8サービス料金早見表 (score=2.0, reason: 主要サービスの価格動向把握)
[GNews: 生成AI日本 (community.exawizards.com)] フィジカルAIは生成AIの延長ではない＝競争はAIからOSへ (score=2.0, reason: フィジカルAIとの差別化、次世代OS論)
[HN AI] The More Young People Use AI, the More They Hate It (score=2.0, reason: 生成AI利用トレンドに関する調査)
[r/MachineLearning] Phosphene local video and audio generation for Apple Silicon open source (LTX 2.3) [P] (score=2.0, reason: オープンソース動画生成ツール公開)
[r/MachineLearning] [R] Joint Embedding Variational Bayes (TMLR ’26) (score=2.0, reason: 新しい変分推論手法の論文発表)
[r/MachineLearning] A Hackable ML Compiler Stack in 5,000 Lines of Python [P] (score=2.0, reason: ML コンパイラの軽量実装テクニック)
[r/MachineLearning] Codebase-scale retrieval using AST-derived graphs + BM25 — reducing LLM context from 100K to 5K tokens [D] (score=2.0, reason: RAG効率化の実践的アプローチ)
[r/MachineLearning] I built AI agents that play Pokemon Showdown autonomously using free LLM APIs via tool-calling [P] (score=2.0, reason: LLM活用による実装例)
[r/LocalLLaMA] AMD in-house ryzen 395 box coming in June (score=2.0, reason: AMD新製品予告)
[r/LocalLLaMA] Open Models - April 2026 - One of the best months of all time for Local LLMs? (score=2.0, reason: 月間モデル動向分析)
[r/LocalLLaMA] What in tarnation is going on with the cost of compute (score=2.0, reason: GPU計算コスト動向)
[r/LocalLLaMA] DeepSeek released 'Thinking-with-Visual-Primitives' framework (score=2.0, reason: DeepSeek新フレームワーク発表)
[r/LocalLLaMA] Running llama.cpp on Snapdragon Hexagon NPU seems promising (score=2.0, reason: モバイルNPUでの推論実装)
[r/LocalLLaMA] Qwen-Scope: Official Sparse Autoencoders (SAEs) for Qwen 3.5 models (score=2.0, reason: Qwenの公式SAE公開、解釈性向上ツール)
[r/LocalLLaMA] Long-context coding on RTX 5080 16GB: Qwen3.6-35B-A3B holds 30 t/s at 128K (89 t/s fresh), no quality drop (score=2.0, reason: 長文脈での実用的なLLMパフォーマンス検証)
[r/singularity] GPT5.5 slightly outperformed Mythos on a multi-step cyber-attack simulation. One challenge that took a human expert 12 hrs took GPT-5.5 only 11 min at a $1.73 cost (score=2.0, reason: GPT-5.5のベンチマーク結果、話題性あり)
[r/singularity] Grok 4.3 achieves higher overall intelligence over 4.20 with less of a cost, at the price of slightly higher hallucination rate. (score=2.0, reason: Grok新バージョン性能比較)
[r/singularity] Unitree Launch | Dual‑Arm (wheeled) Humanoid Robot, from $4290 (score=2.0, reason: 低価格ヒューマノイドロボット発表、業界トレンド)
[r/singularity] Brain-inspired approach can teach AI to doubt itself just enough to avoid overconfidence (score=2.0, reason: AI過信軽減の脳科学的アプローチ研究)

⚪ low (114件)

[HuggingFace Papers] RADIO-ViPE: Online Tightly Coupled Multi-Modal Fusion for Open-Vocabulary Semantic SLAM in Dynamic Environments — Zaid Nasser, Mikhail Iumanov, Tianhao Li 👍56 (score=1.5, reason: ロボット視覚SLAM、特定応用領域)
[HuggingFace Papers] Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models — Gongbo Zhang, Wen Wang, Ye Tian 👍39 (score=1.4, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] ClawGym: A Scalable Framework for Building Effective Claw Agents — Fei Bai, Huatong Song, Shuang Sun 👍39 (score=1.4, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery — Lei Xiong, Kun Luo, Ziyi Xia 👍27 (score=1.3, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Refinement via Regeneration: Enlarging Modification Space Boosts Image Refinement in Unified Multimodal Models — Jiayi Guo, Linqing Wang, Jiangshan Wang 👍23 (score=1.2, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation — Yupeng Zhou, Lianghua Huang, Zhifan Wu 👍16 (score=1.2, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Co-Director: Agentic Generative Video Storytelling — Yale Song, Yiwen Song, Nick Losier 👍14 (score=1.1, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Step-Audio-R1.5 Technical Report — Yuxin Zhang, Xiangyu Tony Zhang, Daijiao Liu 👍12 (score=1.1, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate — Arnon Mazza, Elad Levi 👍7 (score=1.1, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising — Jun Guo, Qiwei Li, Peiyan Li 👍6 (score=1.1, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] TCOD: Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents — Jiaqi Wang, Wenhao Zhang, Weijie Shi 👍6 (score=1.1, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding — Hayate Iso, Tiyasa Mitra, Sudipta Mondal 👍4 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] MAIC-UI: Making Interactive Courseware with Generative UI — Shangqing Tu, Yanjia Li, Keyu Chen 👍4 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] GoClick: Lightweight Element Grounding Model for Autonomous GUI Interaction — Hongxin Li, Yuntao Chen, Zhaoxiang Zhang 👍4 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] A Survey on LLM-based Conversational User Simulation — Bo Ni, Leyao Wang, Yu Wang 👍3 (score=1.0, reason: ユーザシミュレーションの調査論文)
[HuggingFace Papers] Preferences of a Voice-First Nation: Large-Scale Pairwise Evaluation and Preference Analysis for TTS in Indian Languages — Srija Anand, Ashwin Sankar, Ishvinder Sethi 👍3 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] World2Minecraft: Occupancy-Driven Simulated Scenes Construction — Lechao Zhang, Haoran Xu, Jingyu Gong 👍2 (score=1.0, reason: シミュレーション環境構築、応用限定的)
[HuggingFace Papers] Praxy Voice: Voice-Prompt Recovery + BUPS for Commercial-Class Indic TTS from a Frozen Non-Indic Base at Zero Commercial-Training-Data Cost — Venkata Pushpak Teja Menta 👍2 (score=1.0, reason: インドの言語特定TTS改善)
[HuggingFace Papers] FASH-iCNN: Making Editorial Fashion Identity Inspectable Through Multimodal CNN Probing — Morayo Danielle Adeyemi, Ryan A. Rossi, Franck Dernoncourt 👍2 (score=1.0, reason: ファッションAIの解釈可能性研究)
[HuggingFace Papers] The Last Harness You'll Ever Build — Haebin Seong, Li Yin, Haoran Zhang 👍2 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think — Bingda Tang, Yuhui Zhang, Xiaohan Wang 👍2 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] IAM: Identity-Aware Human Motion and Shape Joint Generation — Wenqi Jia, Zekun Li, Abhay Mittal 👍2 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] PSP: An Interpretable Per-Dimension Accent Benchmark for Indic Text-to-Speech — Venkata Pushpak Teja Menta 👍1 (score=1.0, reason: インドの言語特定TTS評価指標)
[HuggingFace Papers] Probing Visual Planning in Image Editing Models — Zhimu Zhou, Yanpeng Zhao, Qiuyu Liao 👍1 (score=1.0, reason: 画像編集モデルの分析研究)
[HuggingFace Papers] Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models — Mohammed Safi Ur Rahman Khan, Sanjay Suryanarayanan, Tushar Anand 👍1 (score=1.0, reason: 判定エラー: JSONDecodeError)
[HuggingFace Papers] AutoGUI-v2: A Comprehensive Multi-Modal GUI Functionality Understanding Benchmark — Hongxin Li, Xiping Wang, Jingran Su 👍1 (score=1.0, reason: 判定エラー: JSONDecodeError)
[arXiv:cs.AI] Computing Equilibrium beyond Unilateral Deviation — Mingyang Liu, Gabriele Farina, Asuman Ozdaglar (score=1.0, reason: ゲーム理論の特定理論。実用性限定)
[arXiv:cs.AI] LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis — Lincan Li, Zheng Chen, Yushun Dong (score=1.0, reason: 医療応用だが既存手法の組み合わせ)
[arXiv:cs.AI] Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists — Yujun Wu, Dongxu Zhang, Xinchen Li (score=1.0, reason: 研究インフラ提案。AI科学者向け限定)
[arXiv:cs.CL] On the Proper Treatment of Units in Surprisal Theory — Samuel Kiegeland, Vésteinn Snæbjarnarson, Tim Vieira (score=1.0, reason: 言語学理論の細部。限定的)
[arXiv:cs.CL] Mapping the Methodological Space of Classroom Interaction Research: Scale, Duration, and Modality in an Age of AI — Dorottya Demszky, Edith Bouton, Alison Twiner (score=1.0, reason: 教育研究の方法論。AI関連性薄い)
[arXiv:cs.CV] OmniRobotHome: A Multi-Camera Platform for Real-Time Multiadic Human-Robot Interaction — Junyoung Lee, Sookwan Han, Jeonghwan Kim (score=1.0, reason: ロボットHRI。特定領域限定)
[arXiv:cs.LG] An adaptive wavelet-based PINN for problems with localized high-magnitude source — Himanshu Pandey, Ratikanta Behera (score=1.0, reason: PINNの局所的改良。特定問題限定)
[arXiv:cs.LG] Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders — Emma Andrews, Sahan Sanjaya, Prabhat Mishra (score=1.0, reason: 量子機械学習。初期段階の理論)
[arXiv:cs.HC] Essential, Yet Overlooked: Identity Verification Barriers for Blind and Low Vision People in Government Services — Ryan John Oommen, Tanusree Sharma (score=1.0, reason: アクセシビリティ課題。AI関連性薄い)
[arXiv:cs.HC] Normativity and Productivism: Ableist Intelligence? A Degrowth Analysis of AI Sign Language Translation Tools for Deaf People — Nina Seron-Abouelfadil, Poppy Fynes (score=1.0, reason: 規範的分析。AI開発への影響小)
[arXiv:cs.HC] When and How AI Should Assist Brainstorming for AI Impact Assessment — Jarod Govers, Sanja Šćepanović, Daniele Quercia (score=1.0, reason: AI評価補助。内省的研究)
[arXiv:cs.HC] From LLM-Driven Trading Card Generation to Procedural Relatedness: A Pokémon Case Study — Johannes Pfau, Panagiotis Vrettis (score=1.0, reason: ゲーム開発の事例研究、AI産業への影響薄)
[arXiv:cs.MA] Framework for Collaborative Operation of Autonomous Delivery Vehicles Within a Marshaling Yard — James O'Hara, Karl Wunderlich, Gregory Stevens (score=1.0, reason: 自動配送の限定的応用、汎用性低)
[arXiv:cs.MA] Can We Volunteer Out of the Peer Review Crisis? — Theo Tang, Toby Handfield, Julian Garcia (score=1.0, reason: 査読制度論、AI関連性薄)
[arXiv:cs.RO] FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems — Binghao Huang, Yunzhu Li (score=1.0, reason: センサ開発、AI関連性薄)
[arXiv:cs.RO] Design and Characteristics of a Thin-Film ThermoMesh for the Efficient Embedded Sensing of a Spatio-Temporally Sparse Heat Source — Sajjad Boorghan Farahan, Ahmed Alajlouni, Jingzhou Zhao (score=1.0, reason: センサ設計、AI関連性なし)
[arXiv:stat.ML] Sequential Inference for Gaussian Processes: A Signal Processing Perspective — Daniel Waxman, Fernando Llorente, Petar M. Djurić (score=1.0, reason: ガウス過程の理論、応用性不明)
[arXiv:stat.ML] Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing — Max Lovig (score=1.0, reason: 勾配法の理論的分析、実用性薄)
[arXiv:stat.ML] Linear-Core Surrogates: Smooth Loss Functions with Linear Rates for Classification and Structured Prediction — Mehryar Mohri, Yutao Zhong (score=1.0, reason: 損失関数の理論研究、応用限定)
[HuggingFace Papers] Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data — Emre Ardıç, Yakup Genç (score=1.0, reason: フェデレーション学習の特定領域改善)
[HuggingFace Papers] Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy — Emre Ardıç, Yakup Genç (score=1.0, reason: フェデレーション学習の技術最適化)
[HuggingFace Papers] Offline Evaluation Measures of Fairness in Recommender Systems — Theresia Veronika Rampisela (score=1.0, reason: 判定エラー: JSONDecodeError)
[TechCrunch AI] ChatGPT Images 2.0 is a hit in India, but not a big winner elsewhere, yet (score=1.0, reason: 地域別の利用動向、特定市場の話題)
[TechCrunch AI] OpenAI announces new advanced security for ChatGPT accounts, including a partnership with Yubico (score=1.0, reason: ChatGPTセキュリティ機能、製品更新)
[TechCrunch AI] Salesforce is crowdsourcing its AI roadmap — with customers (score=1.0, reason: Salesforceロードマップ、企業施策)
[TechCrunch AI] X announces a rebuilt ad platform powered by AI (score=1.0, reason: X広告プラットフォーム更新、プロダクト)
[TechCrunch AI] Meta says its business AI now facilitates 10 million conversations a week (score=1.0, reason: Meta利用統計、企業ニュース)
[WIRED AI] These Men Allegedly Profit Off Teaching People How to Make AI Porn (score=1.0, reason: AI悪用の法的問題。AI業界への直接的技術トレンド影響なし)
[WIRED AI] Reid Hoffman Thinks Doctors Should Ask AI for a Second Opinion (score=1.0, reason: 個人の意見記事。医療応用の主張は投機的)
[GNews: Anthropic/Claude (Anthropic)] How people ask Claude for personal guidance (score=1.0, reason: ユーザー行動分析。技術トレンドとしての新規性に欠ける)
[GNews: Anthropic/Claude (Forbes)] Anthropic’s Claude Mythos Reduces Export Controls To Blind Projections (score=1.0, reason: 規制論考。記事タイトルが不明確で実質不詳)
[GNews: Anthropic/Claude (dlnews.com)] Anthropic’s new Mythos AI will hit crypto. Bitcoin investors don’t care, says Coinbase (score=1.0, reason: 暗号資産業界への波及推測。根拠薄弱)
[GNews: AI partnership (Kellogg Insight)] What Happens When AI Transforms a Specialized Field Overnight? (score=1.0, reason: 一般的な考察記事、具体性欠く)
[GNews: AI partnership (simplywall.st)] Netskope Google Cloud AI Partnership And What It May Mean For NTSK (score=1.0, reason: 株式分析記事、AI関連性薄い)
[GNews: AI partnership (Stock Titan)] AIxCrypto explores decentralized computing for real-time AI agents (score=1.0, reason: マイナー企業、信頼性不明)
[GNews: AI partnership (Not a Tesla App)] SpaceX Locks In $10B AI Partnership With Cursor; Ability to Buy for $60B (score=1.0, reason: 信頼性不明な情報源)
[GNews: AI partnership (TipRanks)] IBM Stock Slides as AI Partnership with Dallara Targets Faster, Lower Cost Car Design (score=1.0, reason: 株価分析、技術内容薄い)
[GNews: AI partnership (simplywall.st)] Dell And Trust3 AI Tie Governance To Dell Valuation Debate (score=1.0, reason: ガバナンス議論、AI関連性薄い)
[GNews: AI partnership (Stock Titan)] Aston Martin's F1 team expands Cognizant deal to operationalize AI (score=1.0, reason: 業界特定、一般性低い)
[GNews: AI partnership (simplywall.st)] Oklo (OKLO) Valuation Check After Nvidia And Los Alamos Nuclear AI Collaboration (score=1.0, reason: 株式分析、AI関連性薄い)
[GNews: AI funding (EU-Startups)] Swiss BioTech startup ALP Bio raises €1.9 million to advance immune organoid and AI platform (score=1.0, reason: 小規模調達、マイナー企業)
[GNews: Llama/Meta AI (BBC)] Dispute over fate of Kenyan workers who saw Meta AI glasses films (score=1.0, reason: 社会的課題、AI技術直接関連性薄い)
[GNews: 生成AI日本 (JBpress)] 今そこにある危機か恐怖を煽るマーケティングか、Claude Mythos騒動で示した「本当の危機」 (score=1.0, reason: Claude関連騒動、評論的内容)
[GNews: 生成AI日本 (毎日新聞)] プレスリリース：［5月21日開催ウェビナー］生成AI・AIエージェント活用で業務を劇的に変える「人材育成」の極意！導入から定着までを完全公開～ソフトバンクグループの成功事例に学ぶ自走する組織作りと、賢い助成金活用術～（PR TIMES） (score=1.0, reason: ウェビナープロモーション、汎用性低い)
[GNews: 生成AI日本 (ニコニコニュース)] 「非エンジニアの社長が1日2時間を創出した生成AI活用術」を無料公開株式会社コミクス (score=1.0, reason: 個社の生成AI活用事例、限定的)
[GNews: 生成AI日本 (PR TIMES)] exaBase 生成AI、最新モデル「GPT-5.5」が利用可能に (score=1.0, reason: 既存モデル利用可能化、新規性低い)
[GNews: 生成AI日本 (Yahoo!ニュース)] コニカミノルタ、教育データと生成AIの事例をEDIXで紹介（こどもとIT） (score=1.0, reason: 教育分野での事例紹介、限定的)
[GNews: 生成AI日本 (リセマム)] 立教学院、全職員に生成AI導入…DX推進担当を新設 (score=1.0, reason: 教育機関の導入事例、個別ニュース)
[GNews: 生成AI日本 (gihyo.jp)] ［今週のリリース情報②］生成AIアプリ評価やSlack活用の実務書が登場。Windows 11完全ガイド， (score=1.0, reason: 書籍・リリース情報、ニュース性低い)
[GNews: 生成AI日本 (ECのミカタ)] メイキップ、「サイズまで再現する」AI画像生成サービスを提供開始 (score=1.0, reason: 特定企業のサービス提供開始)
[GNews: 生成AI日本 (PR TIMES)] 【審査業務をAIで効率化】アンドドット株式会社との「生成AIの活用による業務の高度化」に関する連携協定の締結 (score=1.0, reason: 個社の業務提携発表)
[GNews: 生成AI日本 (日本経済新聞)] インソース[6200]：生成AI による業務改善やDX など、研修のプロが作った600 講座が見放題！～コンテンツ付「Leaf」シリーズ、新たな動画を大幅拡充 2026年5月1日(適時開示) ：日経会社情報DIGITAL (score=1.0, reason: 企業の研修コンテンツ拡充)
[GNews: 生成AI日本 (リセマム)] 立教学院、全職員に生成AI導入…DX推進担当を新設 1枚目の写真・画像 (score=1.0, reason: 重複記事（項目9と同内容）)
[GNews: 生成AI日本 (PR TIMES)] ブリングアウト代表中野慧著『生成AIで最強の組織が生まれる』東京・大阪旗艦書店のランキングで1位を獲得 (score=1.0, reason: 書籍ランキング、プロモーション)
[GNews: 生成AI日本 (PR TIMES)] アジアクエスト、生成AIツールの全社採用と対顧客プロジェクトへのAI駆動開発推進を決定 (score=1.0, reason: 単一企業の導入事例、一般的なPR)
[GNews: 生成AI日本 (AIsmiley)] 【5月21日開催ウェビナー】生成AI・AIエージェント活用で業務を劇的に変える「人材育成」の極意！導入から定着までを完全公開〜ソフトバンクグループの成功事例に学ぶ自走する組織作りと、賢い助成金活用術〜 | DXを推進するAIポータルメディア「AIsmiley」 (score=1.0, reason: ウェビナー告知、教育的コンテンツ)
[GNews: 生成AI日本 (読売新聞)] 茨城：企業４割生成AI「推進」：地域ニュース (score=1.0, reason: 地域ニュース、統計情報のみ)
[GNews: 生成AI日本 (AIsmiley)] 【5/21開催ウェビナー】生成AI・AIエージェント活用で業務を劇的に変える「人材育成」の極意！導入から定着までを完全公開〜ソフトバンクグループの成功事例に学ぶ自走する組織作りと、賢い助成金活用術〜 (score=1.0, reason: ウェビナー告知の重複、教育的)
[HN LLM/Claude/GPT] Claude Code refuses requests or charges extra if your commits mention "OpenClaw" (score=1.0, reason: 特定製品の機能問題、限定的影響)
[r/MachineLearning] [D] Monthly Who's Hiring and Who wants to be Hired? (score=1.0, reason: 求人掲示板スレ、コンテンツなし)
[r/MachineLearning] Is it just me or is the Conference Lottery culture killing research? [D] (score=1.0, reason: 学術会議システムの批判、実質的な提案なし)
[r/MachineLearning] Chinese nexus/network in A* conferences rejecting non chinese papers [D] (score=1.0, reason: 学術界のポリティクス、AI関連性薄)
[r/MachineLearning] AI/ML Conferences [D] (score=1.0, reason: 学術会議の不満スレ、AI技術不関連)
[r/MachineLearning] Seems ICML is rejecting MANY unanimous positively rated papers [D] (score=1.0, reason: 学会審査プロセスの不満、実質的な情報なし)
[r/MachineLearning] ICML 2026 Position Track Decision [D] (score=1.0, reason: 学会審査スレ、AI技術不関連)
[r/MachineLearning] Self-calibrating cross-camera homography for real-time ghost prediction in multi-camera person tracking[P] (score=1.0, reason: 特定ドメイン限定の改善技術)
[r/MachineLearning] Is Attention sink without Positional Encoding unavoidable? [D] (score=1.0, reason: 注意機構の技術的検討、特定問題)
[r/MachineLearning] U-Net for Agricultural Field Segmentation [P] (score=1.0, reason: 学生プロジェクト、既存手法の適用)
[r/MachineLearning] Vector DB and ANN vs PHE conflict, is there a practical workaround? [D] (score=1.0, reason: 特定ドメイン技術質問)
[r/MachineLearning] suggestions regarding mlops [D] (score=1.0, reason: 学習リソース相談)
[r/LocalLLaMA] Qwen 3.6 27B vs Gemma 4 31B - making Packman game! (score=1.0, reason: ローカルLLM比較)
[r/LocalLLaMA] AMD Halo Box (Ryzen 395 128GB) photos (score=1.0, reason: ハードウェアデモ)
[r/LocalLLaMA] 16x Spark Cluster (Build Update) (score=1.0, reason: 個人的な計算環境構築)
[r/LocalLLaMA] nvidia/Gemma-4-26B-A4B-NVFP4 (score=1.0, reason: モデル個別ベンチ共有)
[r/LocalLLaMA] Follow-up: Qwen3.6-27B on 1× RTX 3090 — pushing to ~218K context + ~50–66 TPS, tool calls now stable (PN12 fix) (score=1.0, reason: ローカル推論最適化)
[r/LocalLLaMA] Finetuning Dataset: Claude Opus 4.6/4.7 - 8.7k Chats (score=1.0, reason: ファインチューニングデータセット)
[r/LocalLLaMA] Update on 2019 Mac Pro (score=1.0, reason: 個人的なマシン運用体験)
[r/LocalLLaMA] Final Monster: 32x AMD MI50 32GB at 9.7 t/s (TG) & 264 t/s (PP) with Kimi K2.6 (score=1.0, reason: 個別GPU構成ベンチ)
[r/LocalLLaMA] Cuda + ROCm simultaneously with -DGGML_BACKEND_DL=ON ! (score=1.0, reason: 技術的な構築チップスチューニング)
[r/LocalLLaMA] What exactly does Pi harness mean? (score=1.0, reason: 用語解説質問)
[r/LocalLLaMA] Are Qwen 3.6 27B and 35B making other ~30B models obsolete? (score=1.0, reason: モデル性能比較)
[r/LocalLLaMA] Pocket TTS Multilingual Update (score=1.0, reason: TTS多言語モデル更新)
[r/LocalLLaMA] Actual comparison between locally ran Qwen-3.6-27B and proprietary models (score=1.0, reason: 個人的な使用感レポート、一般的な価値低い)
[r/LocalLLaMA] Mistral medium 3.5 128B, MLX 4bit, ~70 GB (score=1.0, reason: 特定モデルの問題報告、一般性がない)
[r/LocalLLaMA] Using a Radeon 9060 XT 16 GB, the gemma4 24b a4b iq4 nl model achieves 25.9 t/s (score=1.0, reason: ローカルLLMの実装テクニック、限定的)
[r/LocalLLaMA] "I" is not singular — 4 LLM agents with per-agent LoRA on a single RTX 3070 8GB (score=1.0, reason: ローカルLLMの応用例、専門的すぎる)
[r/singularity] This is exactly what I feel whenever I need to explain the task over and over again (score=1.0, reason: AIについてのミームコンテンツ)
[r/singularity] Amid the race to build humanoid robots, it’s now 1X's turn to showcase its NEO factory (score=1.0, reason: ロボット製造施設の紹介、AI関連性薄い)