📝 この記事のポイント
- 🚀 AI技術の最新動向 - 2026年4月13日 世界中から収集したAI・機械学習の最新情報をお届けします 📑 目次💻 注目のGitHubプロジェクトXiangyue-Zhang/auto-deep-researcher-24x7reacher-z/ClawBenchtentime/implementations7WaySecurity/ai_osintrookiemann/multi-turboquant📌 関連記事もチェック📚 最新研究論文1. Large Language Models Generate Harmful Content Using a Distinct, Unified Mechanism著者: Hadas Orgad, Boyi Wei, Kaden ZhengLarge language models (LLMs) undergo alignment training to avoid harmful behaviors, yet the resulting safeguards remain brittle: jailbreaks routinely bypass them, and fine-tuning on narrow domains can induce ``emergent misalignment'' that generalizes broadly. Whether this brittleness reflects a fund...論文を読む →2. ANTIC: Adaptive Neural Temporal In-situ Compressor著者: Sandeep S. Cranganore, Andrei Bodnar, Gianluca GalletiThe persistent storage requirements for high-resolution, spatiotemporally evolving fields governed by large-scale and high-dimensional partial differential equations (PDEs) have reached the petabyte-to-exabyte scale. Transient simulations modeling Navier-Stokes equations, magnetohydrodynamics, plasm...論文を読む →3. Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision著者: Soroosh Tayebi Arasteh, Mehdi Joodaki, Mahshad LotfiniaEvidence-grounded reasoning requires more than attaching retrieved text to a prediction: a model should make decisions that depend on whether the provided evidence supports the target claim. In practice, this often fails because supervision is weak, evidence is only loosely tied to the claim, and ev...論文を読む →💻 注目のGitHubプロジェクト1. Xiangyue-Zhang/auto-deep-researcher-24x7🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.⭐ 343 stars | 🔀 24 forksリポジトリを見る →2. reacher-z/ClawBenchCan AI Agents Complete Everyday Online Tasks? 153 tasks, 144 live websites, 15 categories.⭐ 36 stars | 🔀 3 forksリポジトリを見る →3. tentime/implementationsHistoric machine learning implementations⭐ 23 stars | 🔀 4 forksリポジトリを見る →4. 7WaySecurity/ai_osint🤖 Curated AI OSINT resources — Google dorks, Shodan queries, GitHub dorks, and techniques to discover exposed LLM endpoints, leaked AI API keys, misconfigured vector databases, and unprotected AI agents⭐ 14 stars | 🔀 0 forksリポジトリを見る →5. rookiemann/multi-turboquantUnified KV cache compression for LLM inference — TurboQuant, IsoQuant, PlanarQuant, TriAttention. 10 methods, GPU-validated, multi-GPU planner. Compress KV cache 5-80x to run bigger models, longer context, more agents on your GPU.⭐ 11 stars | 🔀 3 forksリポジトリを見る →。
🚀 AI技術の最新動向 – 2026年4月13日
世界中から収集したAI・機械学習の最新情報をお届けします
📑 目次
- 💻 注目のGitHubプロジェクト
- Xiangyue-Zhang/auto-deep-researcher-24×7
- reacher-z/ClawBench
- tentime/implementations
- 7WaySecurity/ai_osint
- rookiemann/multi-turboquant
- 📌 関連記事もチェック
📚 最新研究論文
1. Large Language Models Generate Harmful Content Using a Distinct, Unified Mechanism
著者: Hadas Orgad, Boyi Wei, Kaden Zheng
Large language models (LLMs) undergo alignment training to avoid harmful behaviors, yet the resulting safeguards remain brittle: jailbreaks routinely bypass them, and fine-tuning on narrow domains can induce “emergent misalignment'' that generalizes broadly. Whether this brittleness reflects a fund…
2. ANTIC: Adaptive Neural Temporal In-situ Compressor
著者: Sandeep S. Cranganore, Andrei Bodnar, Gianluca Galleti
The persistent storage requirements for high-resolution, spatiotemporally evolving fields governed by large-scale and high-dimensional partial differential equations (PDEs) have reached the petabyte-to-exabyte scale. Transient simulations modeling Navier-Stokes equations, magnetohydrodynamics, plasm…
3. Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision
著者: Soroosh Tayebi Arasteh, Mehdi Joodaki, Mahshad Lotfinia
Evidence-grounded reasoning requires more than attaching retrieved text to a prediction: a model should make decisions that depend on whether the provided evidence supports the target claim. In practice, this often fails because supervision is weak, evidence is only loosely tied to the claim, and ev…
💻 注目のGitHubプロジェクト
1. Xiangyue-Zhang/auto-deep-researcher-24×7
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
⭐ 343 stars | 🔀 24 forks
2. reacher-z/ClawBench
Can AI Agents Complete Everyday Online Tasks? 153 tasks, 144 live websites, 15 categories.
⭐ 36 stars | 🔀 3 forks
3. tentime/implementations
Historic machine learning implementations
⭐ 23 stars | 🔀 4 forks
4. 7WaySecurity/ai_osint
🤖 Curated AI OSINT resources — Google dorks, Shodan queries, GitHub dorks, and techniques to discover exposed LLM endpoints, leaked AI API keys, misconfigured vector databases, and unprotected AI agents
⭐ 14 stars | 🔀 0 forks
5. rookiemann/multi-turboquant
Unified KV cache compression for LLM inference — TurboQuant, IsoQuant, PlanarQuant, TriAttention. 10 methods, GPU-validated, multi-GPU planner. Compress KV cache 5-80x to run bigger models, longer context, more agents on your GPU.
⭐ 11 stars | 🔀 3 forks
