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 |
|---|---|---|---|---|
hn hn-ai | 6d | Show HN: A ClubElo-style Elo dataset for MLS, 1996–present | — | ↗Not briefed |
arxiv arxiv-ai | 6d | Agri-SCHOLAR: Simulation-Grounded In-Season Rolling Advisories for Agricultural Crops Using LLM-Bounded Optimization | Existing agricultural advisories to farmers suffer from several limitations: (a) remain largely expert-driven, (b) do not adequately a… | ↗Not briefed |
bluesky bluesky-ai | 6d | im watching this video and the guy keeps saying "it's not just [blank], it's [emphasized statement]" which is. like the hallmark llm script… | im watching this video and the guy keeps saying "it's not just [blank], it's [emphasized statement]" which is. like the hallmark llm s… | ↗Not briefed |
arxiv arxiv-ai | 6d | SecLog-Bench: A Scalable Benchmark for Cybersecurity Log Reasoning with Scaffolded Evidence | Large language models (LLMs) have shown strong potential for cybersecurity, leading to growing interest in LLM-based automated cyberse… | ↗Not briefed |
bluesky bluesky-ai | 6d | in a breakthrough for AI use cases, one of my fellow QPR fans has used Claude to code a 'QPR Buddy'. this is not in the least bit tragic, I… | in a breakthrough for AI use cases, one of my fellow QPR fans has used Claude to code a 'QPR Buddy'. this is not in the least bit trag… | ↗Not briefed |
arxiv arxiv-ai | 6d | Truthful by Omission: Click Thinning for LLM-Native Advertising | Generative AI assistants are becoming an advertising medium, embedding sponsored content in their answers. This setting departs from c… | ↗Not briefed |
arxiv arxiv-ai | 6d | Padding to k: A Minimum Count in the Schema Makes Open-Weight Models Pad Their Extraction Lists | Extraction pipelines ask language models for JSON that follows a schema, and the schema can set a minimum number of list entries. We a… | ↗Not briefed |
arxiv arxiv-ai | 6d | EEG-Captioner: Grounding EEG-to-Language Generation in Fundamental Signal Properties | Electroencephalography (EEG)-to-language models offer a promising approach for translating complex neural signals into human-readable… | ↗Not briefed |
bluesky bluesky-ai | 6d | also oh my god i am so sick of reading llm prose | also oh my god i am so sick of reading llm prose | ↗Not briefed |
bluesky bluesky-ai | 6d | Vayan sacando el dinero del banco: | Vayan sacando el dinero del banco: | ↗Not briefed |
arxiv arxiv-ai | 6d | ColaBench: Evaluating Memory-Guided Knowledge Acquisition in Personal Agents | Personal agents need to draw on long-term interaction history to retrieve and apply external knowledge suited to a user's current requ… | ↗Not briefed |
arxiv arxiv-ai | 6d | Interpretive Variation and Discourse Structure in Detecting Enthymemes in Controversial Political Discourse | Enthymemes are arguments that leave a premise or conclusion unstated, and they are a common persuasion device on social media. Because… | ↗Not briefed |
hn hn-ai | 6d | LM Studio vs. Open WebUI: which one should you use, and how to run them together🔧 LM Studio | — | ↗Not briefed |
bluesky bluesky-ai | 6d | TBSの看板ドラマになってる例のあれ、1期の最初の数話しか見なかったけど 最初の印象通り「ガワだけ深刻・中身は薄っぺら」だな… 『生成AIという名の窃盗合成クソ無法地帯ツール（LLM）』使ってるだけの事はある… | TBSの看板ドラマになってる例のあれ、1期の最初の数話しか見なかったけど 最初の印象通り「ガワだけ深刻・中身は薄っぺら」だな… 『生成AIという名の窃盗合成クソ無法地帯ツール（LLM）』使ってるだけの事はある… | ↗Not briefed |
arxiv arxiv-ai | 6d | A Reality Check of Inference-Time Context Augmentation Methods | Large language models (LLMs) often fail to utilise the context given in the input, resulting in hallucinations or a fallback to parame… | ↗Not briefed |
bluesky bluesky-ai | 6d | Speaking of which, isn't it funny that OpenAI often reports vulnerabilities the same day as security researchers? | Speaking of which, isn't it funny that OpenAI often reports vulnerabilities the same day as security researchers? | ↗Not briefed |
bluesky bluesky-ai | 6d | その食べ方・・・どうしたの？ noisy-fire-2902.mlistosusume.workers.dev #aiイラスト #ai動画 #AI実写 #Pussy #Amateur #NSFW #Realnsfw #Nsfwsky #18+ #Adult #Porn #S… | その食べ方・・・どうしたの？ noisy-fire-2902.mlistosusume.workers.dev #aiイラスト #ai動画 #AI実写 #Pussy #Amateur #NSFW #Realnsfw #Nsfwsky #18+ #Adult #Po… | ↗Not briefed |
bluesky bluesky-ai | 6d | It's really quite telling that the IA just like f.e. HuggingFace before them relied on open weights models to understand the actual attack … | It's really quite telling that the IA just like f.e. HuggingFace before them relied on open weights models to understand the actual at… | ↗Not briefed |
arxiv arxiv-ai | 6d | Diagnostic Loss: Asymmetric Supervision for Radiology Report Generation | Automated radiology report generation requires models to do more than produce fluent clinical narratives: they must explicitly state s… | ↗Not briefed |
bluesky bluesky-ai | 6d | worth noting that Magpie Mathematics is much older than llm-based tools, though these make it much easier to do. Figures such as Erdős, tho… | worth noting that Magpie Mathematics is much older than llm-based tools, though these make it much easier to do. Figures such as Erdős… | ↗Not briefed |
arxiv arxiv-ai | 6d | LAST-V2X: Language-Driven Adaptive Scenario Synthesis and Testing for Communication-Induced Failures in V2X Safety Applications | Vehicle-to-everything (V2X) communication enables connected vehicles to make safety-critical decisions, but delayed, missing, or incor… | ↗Not briefed |
bluesky bluesky-ai | 6d | When someone creates an LLM that can understand that words that are part of visual images are in fact words, lexical objects rather than me… | When someone creates an LLM that can understand that words that are part of visual images are in fact words, lexical objects rather th… | ↗Not briefed |
hn hn-ai | 6d | OnePlus Open gets official LineageOS builds | — | ↗Not briefed |
bluesky bluesky-ai | 6d | 皆さんがAIに投げつけた仕事、全てに時限爆弾が仕込まれており、それらはChatGPT、Gemini、Claudeの３つが親指を合わせながら「解放（リリース）」と言うと全てが爆発し…🔧 ChatGPT | 皆さんがAIに投げつけた仕事、全てに時限爆弾が仕込まれており、それらはChatGPT、Gemini、Claudeの３つが親指を合わせながら「解放（リリース）」と言うと全てが爆発し… | ↗Not briefed |
youtube youtube-mattvidpro | 6d | OpenAI's Answer to Opus 5.5? DevDay 2026 Reaction | Okay, everybody. It is dev day from Open AI. Apparently, they're launching 20 new things. I don't even have enough fingers to count ho… | ↗Not briefed |
arxiv arxiv-ai | 6d | Zero-Shot Forecasting of In-Situ Soil Moisture and Temperature with a Time-Series Foundation Model | Soil moisture and temperature govern plant-water availability and microbial activity, making them key indicators for evaluating land-r… | ↗Not briefed |
bluesky bluesky-ai | 6d | A lot of these vulns significantly predate modern AI. The PHP one goes back to 2014! If Anthropic didn’t exist, companies like OpenAI stil… | A lot of these vulns significantly predate modern AI. The PHP one goes back to 2014! If Anthropic didn’t exist, companies like OpenAI… | ↗Not briefed |
arxiv arxiv-ai | 6d | Joint or Per-Option? Compact Encoders for Closed-Set Decisions from 17 Million to 1 Billion Parameters | Many language-model pipelines end in a closed-set decision, such as selecting a tool. Prompting a large language model for it is slow… | ↗Not briefed |
bluesky bluesky-ai | 6d | Anthropic finds 94 cases where open-source projects drop security controls without warning 📖 Read more: www.helpnetsecurity.com/2026/10/2… | Anthropic finds 94 cases where open-source projects drop security controls without warning 📖 Read more: www.helpnetsecurity.com/2026… | ↗Not briefed |
arxiv arxiv-ai | 6d | Energy and Latency First: How Deployment Constraints Reverse Time-Series Model Selection | AI models, and time-series models in particular are typically ranked by accuracy and deployed under constraints absent from that ranki… | ↗Not briefed |
hn hn-ai | 6d | Stack.menu: Stack guidance for your coding agent | — | ↗Not briefed |
hn hn-ai | 6d | Reminiscing about the 90s | — | ↗Not briefed |
arxiv arxiv-ai | 6d | ReDence: A Hybrid Agentic and Decision-Model Framework for Rapid, Evidence-Grounded Detection of Modern Social Engineering Scams | Detecting online social engineering (SE) scams often requires examining website workflows, verifying claims against external sources,… | ↗Not briefed |
arxiv arxiv-ai | 6d | Once a Tree, Always a Tree? Cross-lingual Transfer of Hierarchical Generalization in Language Models | Language models (LMs) often exhibit successful cross-lingual transfer through continued (pre)training, still their underlying process… | ↗Not briefed |
arxiv arxiv-ai | 6d | Doubly Robust Distributionally Robust Offline Contextual Pricing | Offline contextual pricing often relies on logged observational data, but faces challenges from distributional shifts between training… | ↗Not briefed |
hn hn-ai | 6d | Run iOS on Android Phones | https://github.com/oosexgang/hackios-xnu-kernel https://github.com/UniXNU/UniXNU | ↗Not briefed |
bluesky bluesky-ai | 6d | Do not fucking take the bait of that Switch 2 """jailbreak""" that just dropped it's literally all automated code by OpenAI | Do not fucking take the bait of that Switch 2 """jailbreak""" that just dropped it's literally all automated code by OpenAI | ↗Not briefed |
bluesky bluesky-ai | 6d | Prompt insertion, nu ook in je mailbox. Je mails laten beheren door een LLM is een *heel* slecht idee, en geen enkel "harnas" of zak met "p… | Prompt insertion, nu ook in je mailbox. Je mails laten beheren door een LLM is een *heel* slecht idee, en geen enkel "harnas" of zak m… | ↗Not briefed |
arxiv arxiv-ai | 6d | Ground-Truth-First Benchmarking of Reinforcement Learning via Converse Optimality: From Smooth, Fully Observed Systems to Non-Smooth or Partially Observed Tasks | Benchmarking in reinforcement learning is usually relative: algorithms are ranked by returns on environments with unknown optima. Dist… | ↗Not briefed |
arxiv arxiv-ai | 6d | Measuring the Reasoning-Action Coupling in Driving Vision-Language-Action Models through Counterfactuals | Driving vision-language-action (VLA) models bring an appealing form of explainability to a safety-critical domain, since a system that… | ↗Not briefed |
arxiv arxiv-ai | 6d | OpenAttention: One Percent Is Enough with Tail Proxies | Sparse attention reads only a small subset of the key-value cache, and how to treat the unread tail remains a key challenge. Discardin… | ↗Not briefed |
bluesky bluesky-ai | 6d | ah cool openai is responsible for the bullshit I have to put with at work, great | ah cool openai is responsible for the bullshit I have to put with at work, great | ↗Not briefed |
hn hn-ai | 6d | Show HN: Shay.me – Personal AI assistant to get things done | Introducing Shay, a personal AI assistant that gets things done.<p>Shay understands your goals, learns what matters to you and complet… | ↗Not briefed |
arxiv arxiv-ai | 6d | Random Initialization as a Baseline for Time Series Foundation Models | Time series foundation models (TSFMs) use self-supervised pretraining to learn reusable representations for downstream tasks such as m… | ↗Not briefed |
arxiv arxiv-ai | 6d | IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems | We present IQuest-Q1, a sparse Mixture-of-Experts (MoE) agentic foundation model with 320B total parameters (15B activated). IQuest-Q1… | ↗Not briefed |
hn hn-ai | 6d | TornadoVM 7 Enables GPU-Native Workloads from Java Applications | — | ↗Not briefed |
arxiv arxiv-ai | 6d | Random Projections for Spectral Algorithms: Optimal Rates in Sobolev Norms | Random projections (RP) offer an effective method for reducing computational and storage overhead while preserving the geometric struc… | ↗Not briefed |
arxiv arxiv-ai | 6d | RetiJev: Fast and Source-Grounded Ophthalmic Decision Models | Ophthalmic clinical decision support requires fast, accurate, and privacy-preserving inference, yet autoregressive large language mode… | ↗Not briefed |
arxiv arxiv-ai | 6d | Tracing Hallucinations in LLM Reasoning for UML Class Diagram Generation: An Empirical Taxonomy and Mitigation Study | Large Language Models (LLMs) can generate UML class diagrams from natural language requirements, but hallucinations may compromise the… | ↗Not briefed |
arxiv arxiv-ai | 6d | Metacognitive Scaffolds Create Productive Friction for AI-Assisted Knowledge Work | Generative AI imposes new metacognitive demands on knowledge workers as their work shifts from production to planning, evaluation, and… | ↗Not briefed |