News
The raw AI news stream — everything we ingest across RSS, Hacker News, arXiv, GitHub, Bluesky, YouTube and more, newest first.
| Source | Age | Title | Summary | Status |
|---|---|---|---|---|
arxiv arxiv-ai | 1mo | Rewarding Novel Deductions: Solver-guided Process Rewards for Logical Reasoning | Logical reasoning remains a major challenge for large language models (LLMs), particularly on structured problems that require precise… | ↗Not briefed |
rss wired-ai | 1mo | The Next Evolution of AI Is Learning From Your Dodgy Gaming Skills | A British startup is shaping video game inputs into training data for AI models that can navigate the physical world. | ↗Not briefed |
rss wired-ai | 1mo | Nvidia’s Answer to Rogue Agents Is an Open-Source AI Security System | In the wake of a series of high-profile AI safety incidents, Nvidia is introducing a new software tool that helps keep agents from esc… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Minimax Last-Iterate Convergence in Matrix Games with Observed Actions | We study last-iterate convergence in unknown two-player zero-sum matrix games with bandit payoff feedback and observed opponent action… | ↗Not briefed |
arxiv arxiv-ai | 1mo | A General Harness for Protein Foundation Model Fitness Prediction | Accurate fitness prediction is central to protein engineering and understanding sequence-function relationships. With advances in deep… | ↗Not briefed |
arxiv arxiv-ai | 1mo | OmniTide: Co-Designing Algorithms and Systems for Efficient On-Device Omni-LLM Streaming🔧 Modal | On-device streaming omni-modal inference safeguards user privacy and eliminates prohibitive per-token API costs, but faces a critical… | ↗Not briefed |
arxiv arxiv-ai | 1mo | When Can Attention Heads Be Statically Defined? | Some attention heads learn similar patterns across inputs. Reusing these patterns could reduce training cost by avoiding repeated quer… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Beyond Skill Evolution: Self-Evolving Context Management Policies for Long-Horizon Agent Harnesses | Harness evolution improves LLM agents by learning from execution trajectories, but existing experience- and skill-based methods are le… | ↗Not briefed |
bluesky bluesky-ai | 1mo | there's loads of information available about sale prices! it might not be exact but in the LLM age it's not hard to find even if sellers d… | there's loads of information available about sale prices! it might not be exact but in the LLM age it's not hard to find even if sell… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Want to play with corpora of the French 3rd Republic ? Want to join a nice team ? Want to do something else than LLM and have fun with smal… | Want to play with corpora of the French 3rd Republic ? Want to join a nice team ? Want to do something else than LLM and have fun with… | ↗Not briefed |
arxiv arxiv-ai | 1mo | SEmoEdit: Probing and Harnessing the Editability of Pre-trained Speech Flows | Existing training-based speech emotion editing methods often require substantial task-specific training and can be unstable. This moti… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Nereus: Adaptive Parallelism for LLM Post-Training | Reinforcement learning (RL) post-training for large language models (LLMs) coordinates multiple models across generation, inference, a… | ↗Not briefed |
rss techmeme | 1mo | NXP and TSMC affiliate Vanguard inaugurate their joint advanced chip fab in Singapore, targeting mass production in early 2027 and eyeing a second facility (Cheng Ting-Fang/Nikkei Asia) | Cheng Ting-Fang / Nikkei Asia: NXP and TSMC affiliate Vanguard inaugurate their joint advanced chip fab in Singapore, targeting mass p… | ↗Not briefed |
hn hn-ai | 1mo | Show HN: Redthread – autonomous LLM pentesting with proof-of-concept exploits | — | ↗Not briefed |
arxiv arxiv-ai | 1mo | Universal Dynamic Portfolios | Cover's Universal Portfolio (Cover, 1991) matches the performance of the best constant rebalanced portfolio in hindsight. We generaliz… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Tilted Schrödinger Bridge Matching | Schrödinger bridges provide an entropy-regularized framework and a principled solution for unpaired domain translation. In practice, a… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Uniform Race: Parameter-Free Approximate Rejection Sampling | We study approximate sampling: given $N$ independent samples from a proposal distribution $μ$, the goal is to select one whose distrib… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Correction-space Cross-variate Interaction for Test-time Adaptation in Time Series Forecasting | Test-time adaptation (TTA) is a promising paradigm for handling distribution shift in time-series forecasting (TSF), where models adap… | ↗Not briefed |
arxiv arxiv-ai | 1mo | MechReasoner: A Simulator and Benchmark for Mechanistic Reasoning in Qualitative Physics🔧 GPT-5 | This work introduces MechReasoner, a mechanistic qualitative simulator grounded in confluence-based qualitative physics, together with… | ↗Not briefed |
arxiv arxiv-ai | 1mo | A Persistent State for Auditable Mixture-of-Experts Routing | Mixture-of-Experts (MoE) models repeatedly route tokens to sparse subsets of experts, but conventional routers expose no routing-speci… | ↗Not briefed |
hn hn-ai | 1mo | Show HN: Impressive hand detection AI algorithm | — | ↗Not briefed |
arxiv arxiv-ai | 1mo | GenMem: Generative Symbolic Memory for Self-Evolving Harness | Long-term memory supports the self-evolution of LLM agents by retaining experience and skills across tasks and enabling their retrieva… | ↗Not briefed |
bluesky bluesky-ai | 1mo | A Google Trends for AI is not a substantial innovation. It is an obvious need that has been technically feasible for 20 years. Oliver Marsh… | A Google Trends for AI is not a substantial innovation. It is an obvious need that has been technically feasible for 20 years. Oliver… | ↗Not briefed |
arxiv arxiv-ai | 1mo | DisKO: Deep Koopman Learning in Distribution Space from Unpaired Snapshots | Many complex systems are observed only through temporally unpaired distribution snapshots, making trajectory-based dynamical learning… | ↗Not briefed |
arxiv arxiv-ai | 1mo | CLAD: Constrained Abstract Domain for Neural Network Verification | Neural network verification (NNV) formally verifies that a network satisfies a specified property for all inputs within a defined regi… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Evaluating Dynamical Fidelity through Predictive Structure in Physical Representations | Machine-learning models for physical systems are currently evaluated primarily through errors between predicted and reference states a… | ↗Not briefed |
bluesky bluesky-ai | 1mo | CN KI AI "Ein Software-Entwickler: „Den Job, den ich hatte, gibt es praktisch nicht mehr. Es ist klar, wir sollen eher nicht mehr selbst S… | CN KI AI "Ein Software-Entwickler: „Den Job, den ich hatte, gibt es praktisch nicht mehr. Es ist klar, wir sollen eher nicht mehr sel… | ↗Not briefed |
bluesky bluesky-ai | 1mo | ‘The Anthropic scientists [..] said that their A.I. had taken “the first steps of a biological discovery on its own.” [Dr. Mestre] dispute… | ‘The Anthropic scientists [..] said that their A.I. had taken “the first steps of a biological discovery on its own.” [Dr. Mestre] di… | ↗Not briefed |
arxiv arxiv-ai | 1mo | LLMs for Executable Multi-Agent System Specification Generation | MAS specifications express the effects of the actions of the agents and their environment, as well as other temporal phenomena, such a… | ↗Not briefed |
bluesky bluesky-ai | 1mo | "I read this is the best AI model", said the minarai, "and what will your grandchildren remember you by?", replied the shokunin. "I can't a… | "I read this is the best AI model", said the minarai, "and what will your grandchildren remember you by?", replied the shokunin. "I ca… | ↗Not briefed |
bluesky bluesky-ai | 1mo | OpenAI（chatGPT）を中心に、今後の生成AI企業には、「権利侵害による訴訟」に加え、「ハッキング犯罪への刑事訴訟」が待ってるであろうわけですが、現時点で43兆円という国家予算級の赤字が見込まれてるのに、さらに賠償金が青天井のうなぎ登りな訳で。 自らのアイコンが表して…🔧 ChatGPT | OpenAI（chatGPT）を中心に、今後の生成AI企業には、「権利侵害による訴訟」に加え、「ハッキング犯罪への刑事訴訟」が待ってるであろうわけですが、現時点で43兆円という国家予算級の赤字が見込まれてるのに、さらに賠償金が青天井のうなぎ登りな訳で。 自らのアイコ… | ↗Not briefed |
hn hn-ai | 1mo | Show HN: Caspian – Desktop app to build and launch small vibe-coded projects🔧 Devin | Hi! I am Hussain and I built Caspian.<p>For someone who vibe builds almost all the time, for both personal tools like investment or he… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Learning Regional Snow Water Equivalent and Snow Height Variations from Sentinel-1 InSAR Acquisitions | Managing water resources in mountainous regions depends heavily on reliable Snow Water Equivalent (SWE) and Snow Height (HS) data, yet… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Probabilistic Geodesic Flow Matching on Location-Scale Families | Flow matching (FM) has recently emerged as a promising framework for generative modeling due to its conceptual simplicity and strong e… | ↗Not briefed |
rss techmeme | 1mo | Hundreds of people attended a pro-AI party in DC on September 26, in what the organizers called a counterprogram to the "bipartisan psychosis" over data centers (The Washington Sun) | The Washington Sun: Hundreds of people attended a pro-AI party in DC on September 26, in what the organizers called a counterprogram t… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Beyond Site Agreement: Re-estimation for Brain Network Generalization | Cross-site out-of-distribution (OOD) generalization in resting-state functional magnetic resonance imaging (rs-fMRI) often relies on l… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Efficient World Action Model Inference with Adaptive Intermediate States | World Action Models (WAMs) enable future-aware control by jointly modeling actions and environment dynamics. However, iterative diffus… | ↗Not briefed |
arxiv arxiv-ai | 1mo | PMOPD: Task Ordering, Cycling, and Parameter-Update Subspace Protection in Multi-Teacher On-Policy Distillation | Multi-teacher on-policy distillation (MOPD) has emerged as a popular post-training paradigm for integrating specialized capabilities i… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Shaping Persistent Representations from Independent Interactions | World models learn environment dynamics from interaction experience. These dynamics depend on the current state and actions, as well a… | ↗Not briefed |
arxiv arxiv-ai | 1mo | After the Fix: How Corrected Agent Histories Transfer to Related Tasks | Does repairing an episode make its experience a better memory for the next task? We transfer the same failed source before and after a… | ↗Not briefed |
arxiv arxiv-ai | 1mo | When local gains fail to transfer: Frozen Earth-observation embeddings across wildfires | Frozen Earth-observation embeddings are judged almost entirely by spatially blocked cross-validation inside one study region. We show… | ↗Not briefed |
arxiv arxiv-ai | 1mo | The Low-Rank Structure of VLA Reinforcement Learning | Reinforcement learning (RL) is increasingly used to post-train vision-language-action (VLA) models, yet how RL reshapes these policies… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Summarize Before Grounding: Query-Guided Chunk Condensation for Long-Video Temporal Grounding🔧 Modal | Video temporal grounding (VTG) aims to localize the video interval corresponding to a language query. Recent large vision-language mod… | ↗Not briefed |
rss bing-news-ai | 1mo | The Decomposition of Intelligence | There’s also a curious linguistic coincidence here. Psychology has a g in general intelligence. Artificial general intelligence (AGI)… | ↗Not briefed |
rss bing-news-ai | 1mo | The Decomposition of Intelligence | There’s also a curious linguistic coincidence here. Psychology has a g in general intelligence. Artificial general intelligence (AGI)… | ↗Not briefed |
rss bing-news-ai | 1mo | The Decomposition of Intelligence | There’s also a curious linguistic coincidence here. Psychology has a g in general intelligence. Artificial general intelligence (AGI)… | ↗Not briefed |
rss bing-news-ai | 1mo | The Decomposition of Intelligence | There’s also a curious linguistic coincidence here. Psychology has a g in general intelligence. Artificial general intelligence (AGI)… | ↗Not briefed |
rss bing-news-ai | 1mo | The Decomposition of Intelligence | There’s also a curious linguistic coincidence here. Psychology has a g in general intelligence. Artificial general intelligence (AGI)… | ↗Not briefed |
rss bing-news-ai | 1mo | The Decomposition of Intelligence | There’s also a curious linguistic coincidence here. Psychology has a g in general intelligence. Artificial general intelligence (AGI)… | ↗Not briefed |
rss bing-news-ai | 1mo | The Decomposition of Intelligence | There’s also a curious linguistic coincidence here. Psychology has a g in general intelligence. Artificial general intelligence (AGI)… | ↗Not briefed |