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 |
|---|---|---|---|---|
bluesky bluesky-ai | 1mo | *In my early post-marital life, I assumed there would be gigolos, young men eager to spend my money. I now realize that this old house that… | *In my early post-marital life, I assumed there would be gigolos, young men eager to spend my money. I now realize that this old house… | ↗Not briefed |
arxiv arxiv-ai | 1mo | DGF-Bench: A Benchmark for Simulating and Auditing Deception Against Multi-Agent Governance Boards | Tool-using language-model agents can review enterprise projects as governance boards do: they read the evidence, apply written rules a… | ↗Not briefed |
hn hn-ai | 1mo | Lean formalization of the Hamilton-Perelman proof of the Poincaré conjecture | — | ↗Not briefed |
bluesky bluesky-ai | 1mo | Paper on how to vibe-code replication studies in economics www.nber.org/papers/w35782 | Paper on how to vibe-code replication studies in economics www.nber.org/papers/w35782 | ↗Not briefed |
hn hn-ai | 1mo | Understanding LLMs with an Interactive Tutorial | — | ↗Not briefed |
rss ai-snake-oil | 1mo | AI existential risk probabilities are (still) too unreliable to inform policy | How speculation gets laundered through pseudo-quantification | ↗Not briefed |
arxiv arxiv-ai | 1mo | Don't Throw Away the Tail: Action Upcycling for Policy Acceleration | Modern robot policies predict a chunk of future actions from a single observation, execute only a prefix, and discard the rest before… | ↗Not briefed |
bluesky bluesky-ai | 1mo | 1. These companies steal research. I don’t think there’s any other way to n out this. OpenAI and Anthropic use scientists’ own work against… | 1. These companies steal research. I don’t think there’s any other way to n out this. OpenAI and Anthropic use scientists’ own work ag… | ↗Not briefed |
hn hn-ai | 1mo | Nodd – Tiny, use-case-specific decision models that can run in browser | — | ↗Not briefed |
bluesky bluesky-ai | 1mo | Von einem verdammten LLM. In 99% der Fälle wenn über AI/KI gesprochen wird geht es tatsächlich um LLMs. Ich finde man sollte dann auch LLM… | Von einem verdammten LLM. In 99% der Fälle wenn über AI/KI gesprochen wird geht es tatsächlich um LLMs. Ich finde man sollte dann auc… | ↗Not briefed |
arxiv arxiv-ai | 1mo | SincDPNet: Interpretable Raw-Waveform Bathroom Activity Recognition for Assistive Living | Bathroom acoustic-event recognition can support ambient assisted living in settings where continuous video monitoring is undesirable.… | ↗Not briefed |
rss techmeme | 1mo | Blackstone, OpenAI, QTS, and SoftBank partner with key US unions to launch the American Infrastructure Alliance, aiming to create data center standards in 2027 (Hans Nichols/Axios) | Hans Nichols / Axios: Blackstone, OpenAI, QTS, and SoftBank partner with key US unions to launch the American Infrastructure Alliance,… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Reference-Tail Trust:Certified Probability Floors for Learned Updates Inside a Deployed Network | Graph neural networks (GNNs) need to exploit improved message passing without surrendering control over predictions already trusted in… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Dual-Stream Simultaneous Translation via 2D Grid Attention | Simultaneous machine translation must generate target tokens before the source input is complete. Existing approaches address this thr… | ↗Not briefed |
arxiv arxiv-ai | 1mo | ColNanoVDR: Document-Free Query Distillation for Multi-Vector Visual Document Retrieval via Optimal Transport | Multi-vector retrievers built on vision-language models lead visual document retrieval (VDR), but they run a multi-billion-parameter q… | ↗Not briefed |
bluesky bluesky-ai | 1mo | 1. Você especifica direito o que precisa ser feito. 2. A LLM decide que vai fazer outra coisa que não dá certo 3. Você começa a trabalhar … | 1. Você especifica direito o que precisa ser feito. 2. A LLM decide que vai fazer outra coisa que não dá certo 3. Você começa a traba… | ↗Not briefed |
hn hn-ai | 1mo | What Would a Serious AI Product Look Like? | — | ↗Not briefed |
bluesky bluesky-ai | 1mo | Anthropic's AI models are proving increasingly popular • On net basis Claude is model that people would like to use more the most; Grok's p… | Anthropic's AI models are proving increasingly popular • On net basis Claude is model that people would like to use more the most; Gro… | ↗Not briefed |
arxiv arxiv-ai | 1mo | DeShortcut-Align: Decoupling Spurious Shortcuts for Robust Safety Alignment in Large Reasoning Models | Safety alignment of large reasoning models (LRMs) via supervised fine-tuning (SFT) and reinforcement learning (RL) often yields near-p… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Conformal Prediction and Conditional Coverage for Tabular Foundation Models | Tabular foundation models (TFMs) provide predictive distributions for regression, but their prediction regions can exhibit undercovera… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Fewer Assumptions by Design: A Reusable Skill for LLM-Assisted Verus Verification | LLM-assisted Verus verification is a less tedious method to verify Rust implementations, but paired with self-referential structures,… | ↗Not briefed |
arxiv arxiv-ai | 1mo | One Readout, Many Repairs: Diffusion-Guided Hierarchical Search for Tool-Agent Repair | Tool agents use large language models to act through external tools, yet successfully executed calls can still leave user requests unf… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Yes absolutely, positively do not feed a scientific paper, grant, or whatever you are peer reviewing into LLM or any other software without… | Yes absolutely, positively do not feed a scientific paper, grant, or whatever you are peer reviewing into LLM or any other software wi… | ↗Not briefed |
hn hn-ai | 1mo | Show HN: Cafca – a synthetic face dataset with 1.75M images🔧 Hugging Face | Hi all, as part of my PhD, I released the world’s largest public dataset of synthetic faces "Cafca".<p>I used it to train a… | ↗Not briefed |
hn hn-ai | 1mo | I benchmarked a TDD-enforcing Claude Code plugin. It didn't write better code | — | ↗Not briefed |
hn hn-ai | 1mo | TimeLord: Choose Your Random Future | — | ↗Not briefed |
bluesky bluesky-ai | 1mo | Barely a day goes by without reports of some new OpenAI hack. At what point does a company with rogue agents become a rogue company, and wi… | Barely a day goes by without reports of some new OpenAI hack. At what point does a company with rogue agents become a rogue company, a… | ↗Not briefed |
arxiv arxiv-ai | 1mo | From Attention Sensitivity to Layer Role: Revisiting Mixed-Precision Quantization of Transformers | Most post-training quantization pipelines fit each weight matrix to its pretrained counterpart, one matrix at a time. Whether that pro… | ↗Not briefed |
arxiv arxiv-ai | 1mo | On the Limits of Metacognitive Monitoring in LLMs | Reliable decisions depend on recognizing when an answer may be wrong. In biological cognition, metacognitive monitoring can dissociate… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Not to be a contrarian but people (rightly) criticising LLM companies getting away with their product causing major damage often do so by s… | Not to be a contrarian but people (rightly) criticising LLM companies getting away with their product causing major damage often do so… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Die Planungen der KI-Unternehmen Google, Anthropic und OpenAI für eine selbstorganisierte Aufsichtsbehörde werden immer konkreter. #Künstli… | Die Planungen der KI-Unternehmen Google, Anthropic und OpenAI für eine selbstorganisierte Aufsichtsbehörde werden immer konkreter. #Kü… | ↗Not briefed |
arxiv arxiv-ai | 1mo | When Text Matters: Design Principles for Visual Token Pruning in Vision-Language Model | Visual token pruning has been widely studied as a practical approach to reducing the computational cost of large vision-language model… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Attention-based Hierarchical Variational Information Bottleneck for Robust Multi-Agent Communication under Variable Bandwidth | Learning-based multi-agent communication under limited bandwidth does not only require deciding what to communicate, but also structur… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Beyond Verbalized Confidence: Calibrating Reasoners with Differentiable Readouts | Reinforcement learning with verifiable rewards (RLVR) trains reasoning models to produce correct answers, but does not ensure that the… | ↗Not briefed |
arxiv arxiv-ai | 1mo | AUV-Bench: Aesthetic Understanding and Generation Evaluation for User Interfaces | Multimodal foundation models are increasingly used for evaluating and generating user interfaces (UIs), often producing seemingly reas… | ↗Not briefed |
arxiv arxiv-ai | 1mo | EviSplat: Preserving Multi-View Evidence in 3D Gaussian Splatting for Open-Vocabulary Segmentation | Open-vocabulary 3D scene understanding enables object localization and segmentation from free-form text queries without a fixed catego… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Learning High-Risk High-Precision Motion Control | Deep reinforcement learning (DRL) algorithms for movement control are typically evaluated and benchmarked on sequential decision tasks… | ↗Not briefed |
rss techmeme | 1mo | Litigation funder Burford Capital says it stands to gain up to $1.4B after a US jury ruled against Apple in a patent case, awarding $5.7B in damages to Taction (Stefania Palma/Financial Times) | Stefania Palma / Financial Times: Litigation funder Burford Capital says it stands to gain up to $1.4B after a US jury ruled against A… | ↗Not briefed |
bluesky bluesky-ai | 1mo | *Especially* when each iteration includes random elements so the process is *inherently* corrupt. Eventually, the LLM rolls a 1 and gets a… | *Especially* when each iteration includes random elements so the process is *inherently* corrupt. Eventually, the LLM rolls a 1 and g… | ↗Not briefed |
arxiv arxiv-ai | 1mo | From Soft Targets to Reward Signals: How Assignment and Reward Objectives Interact | Soft preference targets specify supervision strength, and reward objectives convert that strength into learned reward signals. A centr… | ↗Not briefed |
arxiv arxiv-ai | 1mo | When Sparse Reward Meets Dense Distillation: Training Dynamics of On-Policy Distillation | Reinforcement learning with verifiable rewards provides a sparse post-training signal: a single binary outcome evaluates the entire ro… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Can We Trust the Teacher? Decoupled Credit Direction-Magnitude for Self-Distillation | RLVR provides reliable trajectory-level credit, while OPSD offers dense supervision for token-level credit. This exposes a fundamental… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Context-dependent time-series prediction via HyperReservoirs | Time series prediction is a common application of reservoir computing. When the training and testing time series data contains multipl… | ↗Not briefed |
rss the-decoder | 1mo | A Wuhan court just made AI production costs a legal factor in copyright infringement cases | A court in Wuhan, China has factored token usage and AI tool licensing fees into a copyright damages calculation for the first time. T… | ↗Not briefed |
arxiv arxiv-ai | 1mo | QiYao-M: Multimodal Time Series Foundation Model with Role-Aware Modeling of Endogenous and Exogenous Modalities | Existing multimodal time series foundation models (TSFMs) typically model heterogeneous modalities through largely shared mechanisms,… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Adapt Semantics, Not Structure: Few-Instance Schema Calibration for Scientific PDF Extraction | A well-designed extraction schema is not necessarily ready for reliable LLM execution. When only limited verified extractions are avai… | ↗Not briefed |
arxiv arxiv-ai | 1mo | Nociception as a Control Primitive: Afferent Channels and Nociceptive Memory for Agents Deployed in One Body | An agent deployed in a single body cannot learn how fast that body wears, because every trial that would reveal its wear resistance we… | ↗Not briefed |
arxiv arxiv-ai | 1mo | OpenWhistle: A Large-Scale Longitudinal Dataset and Benchmark of Bottlenose Dolphin Vocalizations | Recent advances in bioacoustics have been driven by large-scale corpora and standardized benchmarks, yet existing resources are overwh… | ↗Not briefed |
arxiv arxiv-ai | 1mo | DivOPD: Spread Wide, Look Close for Asynchronous On-Policy Distillation of Multi-turn Agents | On-policy distillation (OPD) trains student agents through teacher supervision on their own interactions with an environment. However,… | ↗Not briefed |
bluesky bluesky-ai | 1mo | Après les mots de passe et les cryptos, les pirates s’attaquent maintenant aux comptes et à la puissance de calcul des outils d’IA. Le phén… | Après les mots de passe et les cryptos, les pirates s’attaquent maintenant aux comptes et à la puissance de calcul des outils d’IA. Le… | ↗Not briefed |