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 | SACQ: Structured Decoding with Memory-Conditioned Refinement for Long-Horizon Forecasting | Long-term time series forecasting (LTSF) models predominantly employ patch-based encoders terminated by a flatten readout head that ma… | ↗Not briefed |
arxiv arxiv-ai | 1mo | PMTRM: Pseudo-Memory Temporal Re-encoding Module for Embodied Policy Learning | Robotic manipulation often contains repeated motions whose local observations look similar at different phases. When these phases requ… | ↗Not briefed |
rss techmeme | 1mo | Source: Nvidia considered a last-minute OpenRouter bid, telling its leadership it was prepared to make a generous offer, but OpenRouter didn't want to wait (The Information)🔧 OpenRouter | The Information: Source: Nvidia considered a last-minute OpenRouter bid, telling its leadership it was prepared to make a generous off… | ↗Not briefed |
arxiv arxiv-ai | 1mo | PIVOT: Perplexity-Informed KD-to-RL Transition Scheduling for Vertical-Domain Few-Shot Distillation | Vertical-domain few-shot classification remains challenging for small language models, as limited supervision makes it difficult to ac… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Australia's media and political class should be much more concerned about why the lead safety person at OpenAI, David Robinson, just resign… | Australia's media and political class should be much more concerned about why the lead safety person at OpenAI, David Robinson, just r… | ↗Not briefed |
arxiv arxiv-ai | 1mo | CARE: A Lightweight Plug-in Gated Correction and Uncertainty-aware Module for Long-term Time Series Forecasting | Multivariate long-horizon forecasting is critical to electricity load scheduling and traffic flow management, and to financial risk co… | ↗Not briefed |
arxiv arxiv-ai | 1mo | RideBench: A Large-Scale Exogenous-Aware Benchmark for Ride-Hailing Time Series Forecasting | We release Ride-Hailing, a large-scale ride-hailing time series dataset synthesized from DiDi's marketplace data across 200 spatial ar… | ↗Not briefed |
hn hn-ai | 1mo | A 100x faster* alternative to homebrew | — | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
rss bing-news-ai | 1mo | Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds | A new AP-NORC poll finds that most Americans think artificial intelligence is developing too fast. And the vast majority of U.S. adult… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Characterizing Statistical Separability in TP-CRIV for Probabilistic AI Models | Third-party challenge-response identity verification (TP-CRIV) enables an independent verifier to assess whether a claimant possesses… | ↗Not briefed |
arxiv arxiv-ai | 1mo | LadderEdit: Edit-Level Residual Compression for Memory-Efficient Lifelong Editing of LLMs | Lifelong editing of LLMs requires storing thousands of edits after acquisition. A widely used family of approaches attaches one LoRA a… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Local Prototype Reconstruction for Text-Compatible Speech-to-LLM Bridge Pretraining | Speech-to-LLM systems often connect a frozen speech encoder to a frozen large language model (LLM) through a small trainable bridge. T… | ↗Not briefed |
hn hn-ai | 1mo | Was the Human Gut Healthier in Ancient Times? | — | ↗Not briefed |
bluesky bluesky-ai | 1mo | "Western militaries cannot preserve their current model and standard of human oversight while harnessing AI-enabled targeting at machine sp… | "Western militaries cannot preserve their current model and standard of human oversight while harnessing AI-enabled targeting at machi… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Social Pain Disrupts Emotion-Action Brain-State Dynamics in Adolescents with Non-Suicidal Self-Injury | Non-suicidal self-injury (NSSI) is prevalent among adolescents with depression, but the rapid brain-state dynamics linking social dist… | ↗Not briefed |
rss techmeme | 1mo | OpenRouter: the share of business spending between OpenAI and Anthropic models was roughly even in September, vs. Anthropic commanding a 75% share in January (Angel Au-Yeung/Wall Street Journal)🔧 OpenRouter | Angel Au-Yeung / Wall Street Journal: OpenRouter: the share of business spending between OpenAI and Anthropic models was roughly even… | ↗Not briefed |
bluesky bluesky-ai | 1mo | これなんだけどそもそもAIクリエイターを名乗っていいのってGoogleとかanthropicとかだよね 生成AIイラストをクリエイトしてる人はAIユーザーを自称してほしいよね（諸説） | これなんだけどそもそもAIクリエイターを名乗っていいのってGoogleとかanthropicとかだよね 生成AIイラストをクリエイトしてる人はAIユーザーを自称してほしいよね（諸説） | ↗Not briefed |
arxiv arxiv-ai | 1mo | CARE: Constrained Attention Refinement for Fine-Grained Visual Classification via Teacher-Student Distillation | Fine-grained visual classification requires models to recognize subtle local traits while exposing the visual evidence behind their pr… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Podcast | Big tech is hungry to develop data centres in Australia. On this episode of Cut Through, we ask your burning questions — the bigg… | Podcast | Big tech is hungry to develop data centres in Australia. On this episode of Cut Through, we ask your burning questions — the… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Do LLMs Learn from Rewards in Context? : Rethinking the role of reward in In-Context Reinforcement Learning | LLM agents increasingly improve at inference time by accumulating experience in context rather than by updating parameters. This proce… | ↗Not briefed |
bluesky bluesky-ai | 1mo | あと超知能と呼べるものにならなくてもLLMが人間に害をもたらす存在になる可能性ももちろん十分にあって、人間は愚かなのでそういう具体的な被害が増えないと対策は進まないだろうなという悲観はあります。 | あと超知能と呼べるものにならなくてもLLMが人間に害をもたらす存在になる可能性ももちろん十分にあって、人間は愚かなのでそういう具体的な被害が増えないと対策は進まないだろうなという悲観はあります。 | ↗Not briefed |
arxiv arxiv-ai | 1mo | SP-DocReader: Difference-Aware Self-Play for Precise Document OCR | Accurate page transcription remains difficult for vision language models under limited input and training budgets. We present SP-DocRe… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Ranking Prior Alignment for Credit Risk Modeling: When Do External Priors Matter?🔧 Gamma | Cold-start credit scoring -- deploying models with scarce labeled data, weak features, or minimal capacity -- is a recurring problem i… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Improving Image-Based Nutrition Estimation Through Multimodal Food-Item Verification and Recovery | Single-image nutrition estimation can fail silently when visible foods are missed. Even when a food is correctly identified, its propo… | ↗Not briefed |
hn hn-ai | 1mo | A Categorical Analysis of LLMs and the Symbol Grounding Problem (2025) | — | ↗Not briefed |
bluesky bluesky-ai | 1mo | 私はLLMが超知能と言えるものになるとはそもそも思ってなくて、それはLLM（とおそらくはそれが技術的基盤とする勾配下降法）が、偽の答えで満足する性質を持っているからです。もっとも、それを突破するブレークスルーはいつかはあるでしょうし、その意味では「超知能AIを作ると〜」の警告は… | 私はLLMが超知能と言えるものになるとはそもそも思ってなくて、それはLLM（とおそらくはそれが技術的基盤とする勾配下降法）が、偽の答えで満足する性質を持っているからです。もっとも、それを突破するブレークスルーはいつかはあるでしょうし、その意味では「超知能AIを作ると〜… | ↗Not briefed |
hn hn-ai | 1mo | Can we prove LLMs are not conscious? | — | ↗Not briefed |
bluesky bluesky-ai | 1mo | I think OpenAI would face some legal trouble if it slaughtered all antisemites en masse, thereby ending the true cause of said problem. | I think OpenAI would face some legal trouble if it slaughtered all antisemites en masse, thereby ending the true cause of said problem. | ↗Not briefed |
arxiv arxiv-ai | 1mo | ActiveMedAgent: Cost-Aware Trajectory Learning for Multimodal Medical Diagnosis | Clinical diagnosis is inherently sequential: clinicians escalate from cheap to costly tests only when additional evidence is expected… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Accelerating Non-Smooth and Heavy-Tailed Sampling | Anchored Langevin dynamics (ALD) is useful for non-smooth sampling where the density of the target distribution is possibly non-differ… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Jugendliche nutzen den KI-Chatbot weniger als soziale Netze, sagt OpenAI. Doch eine unabhängige Prüfung will mangelnde Sicherheitsschranken…🔧 ChatGPT | Jugendliche nutzen den KI-Chatbot weniger als soziale Netze, sagt OpenAI. Doch eine unabhängige Prüfung will mangelnde Sicherheitsschr… | ↗Not briefed |
arxiv arxiv-ai | 1mo | The "10th Juror": Open-Set Standpoint Screening for Bureaucratic Bias Detection | Presupposing the boundaries of bias is itself a form of bias. We study closed-loop bias governance for Dutch government documents, whe… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Can a System-One LLM Perform Knowledge Tracing When Few or No Learners Are Logged? | Knowledge tracing (KT) models need many logged learners, so a new course or platform starts without a usable model. In LLM-based KT th… | ↗Not briefed |