全候補一覧 - 2026-05-03

全 151 件: high=19, medium=64, low=68 内訳: {'hf_paper': 50, 'blog': 4, 'google_news': 50, 'hacker_news': 3, 'reddit': 44}

🔴 high (19件)

[HuggingFace Papers] GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents — V Team, Wenyi Hong, Xiaotao Gu 👍89 (score=3.5, reason: マルチモーダルエージェント基盤モデル発表)
[HuggingFace Papers] Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows — Chenxin Li, Zhengyang Tang, Huangxin Lin 👍28 (score=3.3, reason: LLMエージェントの実世界ワークフロー評価ベンチマーク。実用性重視)
[HuggingFace Papers] Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence — NVIDIA, Amala Sanjay Deshmukh, Kateryna Chumachenko 👍14 (score=3.1, reason: NVIDIA公式の新マルチモーダルモデル発表。実用性高い)
[HuggingFace Papers] Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains — Emaan Bilal Khan, Amy Winecoff, Miranda Bogen (score=3.0, reason: ファインチューニングの安全性低下を実証。重大な問題指摘)
[GNews: Anthropic/Claude (CyberSecurityNews)] Anthropic Launches Claude Security in Public Beta for Enterprise Customers (score=3.0, reason: Anthropicの新セキュリティ製品ベータ版公開、企業戦略)
[GNews: Anthropic/Claude (Tekedia)] Anthropic Releases Beta Version of its New Claude Security AI Tools (score=3.0, reason: Anthropic Claude Security ベータ版リリース、新製品)
[GNews: Anthropic/Claude (The Probe)] Claude Mythos Preview: Anthropic's Most Dangerous Frontier AI (score=3.0, reason: Claude Mythos Preview発表、最新フロンティアモデル)
[GNews: AI partnership (dqindia.com)] Pentagon Signs Classified AI Agreements With OpenAI, Google, NVIDIA, AWS, Oracle and SpaceX (score=3.0, reason: 米国防総省がOpenAI等と機密AI契約)
[GNews: Llama/Meta AI (qz.com)] Meta acquires Assured Robot Intelligence for humanoid AI (score=3.0, reason: Metaがロボット企業買収、ヒューマノイドAI戦略)
[GNews: Llama/Meta AI (Yahoo Finance)] Mark Zuckerberg Says Meta Layoffs Are Being Driven By Soaring AI Spending, Warns More Job Cuts May Follow: 'I Wish That I Can Tell You...' (score=3.0, reason: Meta CEO、AI投資に伴う大規模レイオフ発表)
[GNews: Llama/Meta AI (Engadget)] Meta Acquires Robotics AI Startup As It Makes The Push Into Humanoid Machines (score=3.0, reason: Metaのロボティクス買収・ヒューマノイド開発)
[GNews: Llama/Meta AI (Tech Funding News)] Meta raises $25B in bonds as stock drops 9.5% on $145B AI spending plan (score=3.0, reason: Meta 145B AI投資計画発表、25B社債)
[GNews: Llama/Meta AI (Crypto Briefing)] Google, Meta, Microsoft boost AI spending amid US-China competition (score=3.0, reason: Google/Meta/Microsoft AI支出加速、米中競争)
[GNews: Llama/Meta AI (Bloomberg.com)] China Blocks Meta’s Manus Takeover, Upending a Bet on Singapore’s AI Sanctuary Role (score=3.0, reason: 中国がMeta買収ブロック、地政学的AI競争)
[GNews: 生成AI日本 (JBpress)] 核兵器並みの存在感を帯び始めた先端AIモデル、Mythosへのアクセス権を巡る米印の攻防は何を意味しているのか？【生成AI事件簿】日本は最強AIを使わせてもらえるのか…サイバー、バイオ、計算資源で囲い込みを図る米国の思惑(1/5) (score=3.0, reason: 先端AIモデルの国際的アクセス権争奪、地政学的影響大)
[r/LocalLLaMA] A Dark-Money Campaign Is Paying Influencers to Frame Chinese AI as a Threat (score=3.0, reason: AI企業と規制団体の政治的対立、業界影響大)
[r/singularity] With shipments expected later this year and 10,000 units planned for 2027, the 1X CEO says he would like NEO to take a cab and show up at your home, knocking on the door. (score=3.0, reason: OpenAI出資の1X社の大規模製造施設開設)
[r/singularity] UPDATE: The method from the proof generated by GPT-5.4 Pro for Erdos Problem #1196 was successfully applied to other problems including another 60 year old Erdos conjecture. (score=3.0, reason: GPT-5.4による数学の大定理証明成功)
[r/singularity] ARC-AGI-3 Update (GPT-5.5 High and Opus4.7) (score=3.0, reason: 最新モデルのARC-AGI-3パフォーマンス比較)

🟡 medium (64件)

[HuggingFace Papers] Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling — Keming Wu, Zuhao Yang, Kaichen Zhang 👍76 (score=2.5, reason: 視覚生成の進展サーベイ、トレンド把握に有用)
[HuggingFace Papers] Heterogeneous Scientific Foundation Model Collaboration — Zihao Li, Jiaru Zou, Feihao Fang 👍187 (score=2.5, reason: マルチモーダルエージェント、実装工夫あり)
[HuggingFace Papers] Large Language Models Explore by Latent Distilling — Yuanhao Zeng, Ao Lu, Lufei Li 👍60 (score=2.5, reason: LLM推論時スケーリング工夫、効率化)
[HuggingFace Papers] ClawGym: A Scalable Framework for Building Effective Claw Agents — Fei Bai, Huatong Song, Shuang Sun 👍46 (score=2.5, reason: AIエージェント用スケーラブルフレームワーク、ツール活用研究)
[HuggingFace Papers] Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models — Gongbo Zhang, Wen Wang, Ye Tian 👍42 (score=2.4, reason: 拡散LLM蒸留、新モデルアーキテクチャ)
[HuggingFace Papers] Efficient Training on Multiple Consumer GPUs with RoundPipe — Yibin Luo, Shiwei Gao, Huichuan Zheng 👍30 (score=2.3, reason: 消費者GPU上のLLMファインチューニング効率化)
[HuggingFace Papers] Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists — Yujun Wu, Dongxu Zhang, Xinchen Li 👍28 (score=2.3, reason: AI研究インフラの方法論グラフ化。研究効率向上)
[HuggingFace Papers] Leveraging Verifier-Based Reinforcement Learning in Image Editing — Hanzhong Guo, Jie Wu, Jie Liu 👍27 (score=2.3, reason: 画像編集のRL応用。テキスト・トゥ・イメージの拡張)
[HuggingFace Papers] AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery — Lei Xiong, Kun Luo, Ziyi Xia 👍27 (score=2.3, reason: AIエージェントの科学論文検索ベンチマーク)
[HuggingFace Papers] Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling — Zhen Zhang, Changyi Yang, Zijie Xia 👍19 (score=2.2, reason: トークンレベル長さ予測の事前学習。理論的)
[HuggingFace Papers] Representation Fréchet Loss for Visual Generation — Jiawei Yang, Zhengyang Geng, Xuan Ju 👍14 (score=2.1, reason: 画像生成の損失関数改善、実用性あり)
[HuggingFace Papers] Synthetic Computers at Scale for Long-Horizon Productivity Simulation — Tao Ge, Baolin Peng, Hao Cheng 👍13 (score=2.1, reason: エージェントシミュレーション、実用応用)
[HuggingFace Papers] Step-Audio-R1.5 Technical Report — Yuxin Zhang, Xiangyu Tony Zhang, Daijiao Liu 👍13 (score=2.1, reason: 音声LLMへのCoT推論拡張、新領域開拓)
[HuggingFace Papers] The Last Human-Written Paper: Agent-Native Research Artifacts — Jiachen Liu, Jiaxin Pei, Jintao Huang 👍10 (score=2.1, reason: エージェント主導研究アーティファクト。研究インフラ革新)
[HuggingFace Papers] Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion — Zhongjie Duan, Hong Zhang, Yingda Chen 👍10 (score=2.1, reason: 拡散モデル制御統一フレーム、汎用性高い)
[HuggingFace Papers] Step-level Optimization for Efficient Computer-use Agents — Jinbiao Wei, Kangqi Ni, Yilun Zhao 👍9 (score=2.1, reason: コンピュータ操作エージェントの効率化研究。実用的)
[HuggingFace Papers] InteractWeb-Bench: Can Multimodal Agent Escape Blind Execution in Interactive Website Generation? — Qiyao Wang, Haoran Hu, Longze Chen 👍9 (score=2.1, reason: マルチモーダルエージェントのWebサイト生成評価)
[HuggingFace Papers] FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments — Amir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay 👍8 (score=2.1, reason: LLMエージェント信頼性向上、実用性重要)
[HuggingFace Papers] Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding — Hayate Iso, Tiyasa Mitra, Sudipta Mondal 👍6 (score=2.1, reason: RL後学習効率化、LLM推論高速化)
[HuggingFace Papers] Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising — Jun Guo, Qiwei Li, Peiyan Li 👍6 (score=2.1, reason: 4Dワールドモデルとロボット制御の統合研究、実用性あり)
[HuggingFace Papers] Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models — Xingwei Tan, Marco Valentino, Mahmud Elahi Akhter 👍5 (score=2.0, reason: LLMの推論制御性研究。理論的興味深い)
[HuggingFace Papers] Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital — T. J. Barton, Chris Constantakis, Patti Hauseman 👍5 (score=2.0, reason: オンチェーンエージェント信頼性、金融応用)
[HuggingFace Papers] V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think — Bingda Tang, Yuhui Zhang, Xiaohan Wang 👍3 (score=2.0, reason: 生成モデルのアライメント研究、政策勾配法の応用)
[HuggingFace Papers] The Last Harness You'll Ever Build — Haebin Seong, Li Yin, Haoran Zhang 👍2 (score=2.0, reason: エンタープライズAIエージェントの実装課題に対応)
[HuggingFace Papers] Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models — Mohammed Safi Ur Rahman Khan, Sanjay Suryanarayanan, Tushar Anand 👍2 (score=2.0, reason: VLM評価モデルのバイアス発見、モデル評価の課題)
[HuggingFace Papers] ViPO: Visual Preference Optimization at Scale — Ming Li, Jie Wu, Justin Cui 👍1 (score=2.0, reason: ビジュアル生成モデルの優先度最適化。大規模化研究)
[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: 材料科学へのAI応用、科学への貢献)
[HuggingFace Papers] Probing Visual Planning in Image Editing Models — Zhimu Zhou, Yanpeng Zhao, Qiuyu Liao 👍1 (score=2.0, reason: 画像編集のビジュアル計画、解釈可能性研究)
[HuggingFace Papers] FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption — Yanting Wang, Chenlong Yin, Ying Chen (score=2.0, reason: LLMのセキュリティテスト効率化。安全性評価重要)
[WIRED AI] Disneyland Now Uses Face Recognition on Visitors (score=2.0, reason: 顔認証導入のニュース、プライバシー規制関連)
[GNews: Anthropic/Claude (OkDiario)] Anthropic kept Mythos away from the public because it was too dangerous, and the real shock is that outsiders still found a way in (score=2.0, reason: Claude Mythos安全性問題、セキュリティ規制ニュース)
[GNews: Llama/Meta AI (MyNorthwest.com)] Tech Talk: Quarterly earnings spotlight AI spending vs. cloud revenue as Microsoft, Amazon, Meta, Alphabet face Wall Street pressure (score=2.0, reason: 大手IT企業のAI支出vs収益トレンド)
[GNews: Llama/Meta AI (simplywall.st)] CoreWeave’s Meta Deal Tests Valuation As AI Workloads Stretch To 2032 (score=2.0, reason: MetaのAI投資規模と提携契約の評価)
[GNews: Llama/Meta AI (Crypto Briefing)] Meta Platforms’ AI investment surge amid US-China tech rivalry (score=2.0, reason: Meta AI投資増加と米中競争)
[GNews: Llama/Meta AI (Let's Data Science)] Meta Platforms Increases AI Investment Amid Rivalry (score=2.0, reason: Meta AI投資増加報道)
[GNews: Llama/Meta AI (simplywall.st)] Meta Expands Beyond Ads With Humanoid Robots And Next Generation Energy (score=2.0, reason: Metaのロボット・エネルギー事業への多角化)
[GNews: Llama/Meta AI (TipRanks)] Meta Platforms’ AI Spending Spooks Market, But Analysts Stay Bullish (score=2.0, reason: Meta AI支出への市場反応・アナリスト評価)
[GNews: Llama/Meta AI (Yahoo Tech)] Meta pushes into orbit powered electricity as it chases nonstop clean energy (score=2.0, reason: Meta軌道発電など大規模AI基盤投資)
[GNews: 生成AI日本 (読売新聞)] 「業務に生成ＡＩ」国内企業の３割超、文章作成や情報収集で利用…読売新聞・帝国データ調査 (score=2.0, reason: 日本企業の生成AI導入状況を示す調査データ)
[GNews: 生成AI日本 (Yahoo!ニュース)] 生成AIは「猛獣」民事訴訟ですぐに使えず最高裁の今崎幸彦長官（時事通信） (score=2.0, reason: 最高裁長官の生成AI規制見解、日本の政策動向)
[GNews: 生成AI日本 (朝日新聞)] 最高裁長官、保釈に「不断の検討が必要」生成AIは「猛獣」と表現 (score=2.0, reason: 司法機関の生成AI利用制限方針を示す規制動向)
[GNews: 生成AI日本 (ｄメニューニュース)] 生成ＡＩは「猛獣」＝民事訴訟ですぐに使えず―最高裁の今崎幸彦長官 (score=2.0, reason: 最高裁の生成AI慎重姿勢を示す日本の規制動向)
[GNews: 生成AI日本 (36Kr Japan)] 460億円調達でユニコーン入りーー動画生成AI「Vidu」、今度はロボットの頭脳を作る (score=2.0, reason: 動画生成AI企業の大型資金調達とロボ応用への拡張)
[GNews: 生成AI日本 (読売新聞)] 「業務に生成ＡＩ」３割超文章作成・情報収集本社・帝国データ調査 (score=2.0, reason: 日本企業の生成AI利用状況を示す統計調査)
[GNews: 生成AI日本 (KAI-YOU)] 米アカデミー賞、演技／脚本部門から生成AI制作物を除外人間の創作を重視 (score=2.0, reason: アカデミー賞の生成AI制限方針、創作権保護の規制動向)
[GNews: 生成AI日本 (Forbes JAPAN)] 広告業界の9割が「AIネイティブ」化、問われるディレクション能力 (score=2.0, reason: 広告業界のAI導入浸透を示す業界動向)
[GNews: 生成AI日本 (ｄメニューニュース)] 生成ＡＩ、民事訴訟ですぐに使えず (score=2.0, reason: 日本の民事訴訟での生成AI利用制限は規制トレンド)
[HN AI] AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights (score=2.0, reason: 採用アルゴリズムのバイアス研究、実用的)
[HN AI] Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks (score=2.0, reason: オープンソースAutoML、実装的価値あり)
[r/MachineLearning] Real World Physics-Informed AI Applications [D] (score=2.0, reason: 物理インフォームドAIの応用事例探索)
[r/LocalLLaMA] I built a transformer in C++17 from scratch — no PyTorch, no BLAS, no dependencies. Trains on CPU. 0.83M params, full analytical backprop, 76 min to val loss 1.64. (score=2.0, reason: C++でのGPT実装、技術的興味あり)
[r/LocalLLaMA] We are finally there: Qwen3.6-27B + agentic search; 95.7% SimpleQA on a single 3090, fully local (score=2.0, reason: Qwen3.6の強力な実行、ローカルAI進展)
[r/LocalLLaMA] [RELEASE] - Finally, my first TTS model is out! 🎙️ Flare-TTS 28M (score=2.0, reason: 個人のTTSモデルリリース、実用性あり)
[r/LocalLLaMA] Implemented TurboQuant and results don’t fully match paper (score=2.0, reason: TurboQuantの実装と検証)
[r/LocalLLaMA] Qwen 3.6 wins the benchmarks, but Gemma 4 wins reality. 7 things I learned testing 27B/31B Vision models locally (vLLM / FP8) side by side. Benchmaxing seems real. (score=2.0, reason: Vision LLM実測比較、実用的洞察)
[r/LocalLLaMA] Kv cache quantization: ignorance, or malice? (score=2.0, reason: KVキャッシュ量子化の技術的議論)
[r/LocalLLaMA] Unsloth solved bug in Mistral Medium 3.5 implementation (score=2.0, reason: Mistralの実装バグ修正)
[r/LocalLLaMA] Mistral Medium 3.5 128b ggufs are fixed (score=2.0, reason: Mistral Medium 3.5 GGUFバグ修正公表)
[r/singularity] Sam Altman has changed his stance on the claims that AI will replace humans. (score=2.0, reason: Sam Altmanの立場変更、業界動向)
[r/singularity] LLMs do fine on ARC-AGI-3 if they are allowed to search over game logs (score=2.0, reason: ARC-AGIの評価方法に関する技術的議論)
[r/singularity] GPT 5.5 tops private citation benchmark on Kaggle (AbstractToTitle task) (score=2.0, reason: GPT-5.5の新ベンチマーク結果)
[r/singularity] Why is these still no realistic voice model despite huge advancements in AI? (score=2.0, reason: OpenAI音声モデルの進展とリリース課題)
[r/singularity] Grok 4.3: strong in finance and long-context, with some tradeoffs (score=2.0, reason: Grok 4.3の新性能評価)
[r/singularity] Anthropic Won't Let You Use Their Best Model. Prediction Markets Are Trying Anyway. (score=2.0, reason: Anthropicの提供制限と予測市場の動き)

⚪ low (68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 👍64 (score=1.5, reason: マルチモーダルSLAM、ロボティクス限定)
[HuggingFace Papers] Co-Evolving Policy Distillation — Naibin Gu, Chenxu Yang, Qingyi Si 👍39 (score=1.4, reason: ポストトレーニングパラダイムの理論分析。限定的)
[HuggingFace Papers] ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control — Yanghao Zhou, Jingyu Ma, Yibo Peng 👍35 (score=1.4, reason: ヒューマノイドビデオ生成制御。限定的ドメイン)
[HuggingFace Papers] PhyCo: Learning Controllable Physical Priors for Generative Motion — Sriram Narayanan, Ziyu Jiang, Srinivasa Narasimhan 👍7 (score=1.1, reason: 物理制約条件付きビデオ生成。特定問題対応)
[HuggingFace Papers] MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons — Kehong Gong, Zhengyu Wen, Dao Thien Phong 👍6 (score=1.1, reason: モーションキャプチャの任意骨格対応。特定領域)
[HuggingFace Papers] A Survey on LLM-based Conversational User Simulation — Bo Ni, Leyao Wang, Yu Wang 👍6 (score=1.1, reason: LLMユーザシミュレーション、応用調査)
[HuggingFace Papers] MAIC-UI: Making Interactive Courseware with Generative UI — Shangqing Tu, Yanjia Li, Keyu Chen 👍6 (score=1.1, reason: 教育用UIジェネレータ、ニッチな応用)
[HuggingFace Papers] Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization — Xinxin Liu, Ming Li, Zonglin Lyu 👍3 (score=1.0, reason: 視覚選好学習の特定手法。限定的な応用)
[HuggingFace Papers] World2Minecraft: Occupancy-Driven Simulated Scenes Construction — Lechao Zhang, Haoran Xu, Jingyu Gong 👍3 (score=1.0, reason: シミュレーション環境構築。限定的用途)
[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: 地域特定TTS評価、言語限定研究)
[HuggingFace Papers] Instruction-Guided Poetry Generation in Arabic and Its Dialects — Abdelrahman Sadallah, Kareem Elozeiri, Mervat Abassy 👍2 (score=1.0, reason: アラビア詩生成。言語特定、利用範囲限定)
[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: インド言語TTS、特定言語向け改良)
[HuggingFace Papers] PSP: An Interpretable Per-Dimension Accent Benchmark for Indic Text-to-Speech — Venkata Pushpak Teja Menta 👍2 (score=1.0, reason: インド言語TTSベンチマーク、特定分野)
[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解釈可能性、特定ドメイン)
[HuggingFace Papers] Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data — Emre Ardıç, Yakup Genç 👍1 (score=1.0, reason: フェデレーション学習の小改良)
[HuggingFace Papers] Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy — Emre Ardıç, Yakup Genç 👍1 (score=1.0, reason: フェデレーション学習のプライバシー最適化)
[HuggingFace Papers] Offline Evaluation Measures of Fairness in Recommender Systems — Theresia Veronika Rampisela 👍1 (score=1.0, reason: 推薦システムの公平性評価、限定的な応用)
[TechCrunch AI] AI-generated actors and scripts are now ineligible for Oscars (score=1.0, reason: エンタメ規制、AI関連性薄い)
[TechCrunch AI] The best AI dictation apps, tested and ranked (score=1.0, reason: 音声認識アプリ紹介、特定製品レビュー)
[Latent Space] [AINews] AI Engineer World's Fair — Autoresearch, Memory, World Models, Tokenmaxxing, Agentic Commerce, and Vertical AI Call for Speakers (score=1.0, reason: イベント告知、具体的情報なし)
[GNews: Anthropic/Claude (Fast Company)] Stop letting ChatGPT and other AI chatbots train on your data. Here’s why—and how (score=1.0, reason: データ学習オプト設定、汎用的なアドバイス)
[GNews: AI partnership (simplywall.st)] Assessing Lattice Semiconductor (LSCC) Valuation After New Texas Instruments Edge AI Partnership (score=1.0, reason: 半導体企業のEdgeAIパートナーシップ、限定ニュース)
[GNews: AI partnership (simplywall.st)] Assessing Arteris (AIP) Valuation After New MIPS Partnership In High Growth AI SoC Platforms (score=1.0, reason: 特定企業の提携・株価評価のみ)
[GNews: AI partnership (Yahoo Finance)] Assessing Dicker Data’s Valuation After New CrowdStrike AI Cybersecurity Partnership In Asia Pacific (score=1.0, reason: 特定企業の提携・株価評価のみ)
[GNews: AI partnership (TipRanks)] Cloud Capital Highlights Strategic Focus on AI-Driven Finance Collaboration (score=1.0, reason: 特定企業の提携情報のみ)
[GNews: AI funding (instagram.com)] Between April 25 and May 02, 2026, as many as 18 Indian startups from diverse sectors raised over $232 million in funding from investors. These sectors include Gaming, Fintech, AI, Climatetech, Sportstech, Deeptech, Energytech, Lending, Stock broking, Sup (score=1.0, reason: インド新興企業の資金調達)
[GNews: AI funding (sebd.in)] Avoca Startup Secures HVAC AI Funding to Transform Smart Building Technology (score=1.0, reason: 特定企業の資金調達のみ)
[GNews: Llama/Meta AI (Crypto Briefing)] Meta stock price prediction drops despite strong earnings from tech giants (score=1.0, reason: 株価予測記事、実質情報なし)
[GNews: Llama/Meta AI (thestreet.com)] Bank of America resets Meta stock price target following earnings (score=1.0, reason: Meta株価目標の変更は金融ニュース、AI関連性薄い)
[GNews: Llama/Meta AI (AOL.com)] Here's the Real Problem With Meta's Latest Earnings Report (score=1.0, reason: Meta決算分析で、AI産業動向との関連性が低い)
[GNews: 生成AI日本 (Forbes JAPAN)] 生成AIと音楽の未来：テクノロジーを味方につける戦略 (score=1.0, reason: 音楽業界の生成AI活用で話題性は限定的)
[GNews: 生成AI日本 (Koubo)] 生成AIで企画力UP。A&Dが実践的な制作授業を実施 (score=1.0, reason: 教育機関の生成AI導入で、特定ドメイン限定)
[GNews: 生成AI日本 (毎日新聞)] プレスリリース：株式会社Mavericksは、動画生成AI「NoLang」のスライド生成機能をアップデート！SNSで目を惹くイラスト・図解入りの縦型形式のクリエイティブのAI自動生成に対応（PR TIMES） (score=1.0, reason: スタートアップのプロダクト更新、プレスリリース)
[GNews: 生成AI日本 (教育家庭新聞社)] 生成AIは“生涯にわたる教育”をどう変えるのか――教育・福祉関係者向けオンライン勉強会を5/10に開催〜教育AI活用協会 (score=1.0, reason: 教育機関のセミナー告知、話題性が限定的)
[GNews: 生成AI日本 (アゴラ言論プラットフォーム)] 「ゲゲゲの鬼太郎」生成AIに駆逐される (score=1.0, reason: 生成AIによる創作者への影響に関する意見記事)
[GNews: 生成AI日本 (朝日新聞)] 子どもとAI、適切な付き合い方は？自殺防止へ鳥取県が検討チーム [鳥取県] [AIの時代] (score=1.0, reason: 地域レベルの生成AI教育検討チーム、スケール小)
[GNews: 生成AI日本 (Excite エキサイト)] 株式会社Mavericksが開発する、動画生成AI「NoLang」のスライド生成機能で作成したスライドがPPTX形式の出力に対応。PowerPoint・Google Slidesでの編集が可能に！ (score=1.0, reason: スタートアップの機能追加、プロダクトニュース)
[GNews: 生成AI日本 (Excite エキサイト)] 株式会社Mavericksは、動画生成AI「NoLang」のスライド生成機能をアップデート！イラスト・図解を駆使したビジュアル表現に優れたフィード・カルーセル投稿用スライドの自動生成に対応 (score=1.0, reason: スタートアップのプロダクト更新、プレスリリース)
[GNews: 生成AI日本 (PR TIMES)] 【日本初】全編生成AIによる長尺映像作品をプラネタリウムで初上映。没入型サウンド＆ビジュアル・メディテーション「SOLARIS BREATH」開催 (score=1.0, reason: 生成AI映像作品の展示企画、実用性は限定的)
[GNews: 生成AI日本 (スマートニュース（SmartNews）)] 5/3▶改憲是非各党談話▶最高裁長官「生成AIは猛獣」▶井上尚弥勝利ほか (score=1.0, reason: 最高裁の一般的なコメント、実質的な規制内容不明)
[GNews: 生成AI日本 (PR TIMES)] 【2026年6月29日(月)19:00～／渋谷】生成AI・DX時代の“実践知”が集結——マーケター向けカジュアル交流会を開催！ (score=1.0, reason: イベント告知、技術的内容なし)
[GNews: 生成AI日本 (PR TIMES)] AI動画編集ソフト「HitPaw Edimakor V4.9.0」公開、画像生成AI「GPT Image 2」搭載で制作体験を強化 (score=1.0, reason: 既存AI動画ツールの機能更新、新規性低)
[HN AI] Show HN: Agent-desktop – Native desktop automation CLI for AI agents (score=1.0, reason: 個人プロジェクト、未成熟段階)
[r/MachineLearning] [D] Self-Promotion Thread (score=1.0, reason: 自己宣伝スレッド、評価対象外)
[r/MachineLearning] Toy experiment: frozen Pythia-70M can use a forward-derived fast memory for contextual one-shot symbolic recall [D] (score=1.0, reason: 小規模な実験的研究、限定的)
[r/MachineLearning] How did you guys land your first ML job ? [D] (score=1.0, reason: 就職相談スレッド、業界トレンド関連なし)
[r/MachineLearning] I implemented meta paper [P] (score=1.0, reason: 論文の実装、既存研究)
[r/MachineLearning] Looking for feedback on OpenVidya: an open-source AI classroom layer for NCERT/CBSE [R] (score=1.0, reason: 特定地域の教育プロジェクト、スケール限定)
[r/LocalLLaMA] Bruh (score=1.0, reason: 管理的な雑談、実質内容なし)
[r/LocalLLaMA] I made a visualizer for Hugging Face models (score=1.0, reason: UIツール、周辺的)
[r/LocalLLaMA] Tinygrad Driver testing! (score=1.0, reason: パフォーマンステスト、実装的)
[r/LocalLLaMA] Qwen3.6-27B at 72 tok/s on RTX 3090 on Windows using native vLLM (no WSL, no Docker), portable launcher and installer (score=1.0, reason: ローカル実行環境の技術、実装的)
[r/LocalLLaMA] Ban phrases on llama.cpp with this script. (score=1.0, reason: llama.cpp向けの小規模ツール)
[r/LocalLLaMA] Warpdrv - my open-source Llama.cpp launcher for daily-driving Qwen 35b + 27b on Strix Halo + RTX Pro. (score=1.0, reason: 個人向けローカルLLM運用ツール)
[r/LocalLLaMA] Have Qwen said anything about further Qwen 3.6 models? (score=1.0, reason: ユーザー質問、具体的情報なし)
[r/LocalLLaMA] I BUILT MY FIRST MODEL FROM SCRATCH (score=1.0, reason: 個人モデル開発、規模小)
[r/LocalLLaMA] Qwen3.6-27B vs 35B, I prefer 35B but more people here post about 27B... (score=1.0, reason: モデル比較意見、雑談レベル)
[r/LocalLLaMA] MiniMax M2.7 AWQ-4bit on 2x Spark vs 2x RTX 6000 96GB - performance and energy efficiency (score=1.0, reason: 個人のハードウェア性能測定)
[r/LocalLLaMA] [RELEASE] Vex - Vector Exchange - A Cross-standard Vector DB migration tool - Open Source (score=1.0, reason: VectorDB移行ツール、ニッチ用途)
[r/LocalLLaMA] RTX 5080 with 16 GB VRAM, 64 GB RAM best quantized model for programming? (score=1.0, reason: ユーザーの機材選定質問)
[r/LocalLLaMA] What's your tps on 3090 + Qwen 3.6 27B in real tasks? (score=1.0, reason: 個人的な性能確認質問)
[r/singularity] Robots in the hands of dictatorial governments will not end well... (score=1.0, reason: AI と無関係の政治的言及)
[r/singularity] GPT speak - it's everywhere (score=1.0, reason: AI使用の社会的影響（一般論）)
[r/singularity] What technologies will we realistically see in our lifetimes thanks to artifical intelligence development. (score=1.0, reason: 一般的な将来予測、具体性なし)
[r/singularity] Would it ever be possible to fully solve the language barrier with AI? (score=1.0, reason: 言語バリアの理論的検討、実用性低)
[r/singularity] Record-Breaking Drone Show - 22,580 Drones Controlled by 1 Computer | Guinness World Records (score=1.0, reason: ドローンショー、AI関連性薄)
[r/singularity] Agents Need to Learn by Watching (score=1.0, reason: Atlas Browserの個人的感想、情報薄)
[r/singularity] Ok This is Trippy (score=1.0, reason: 内容不明確、判断不可)