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 |
|---|---|---|---|---|
rss techmeme | 18d | Developers and vibe coders are using AI tools like Claude Code to get rid of sponsored ads on their smart TVs, disable tracking features, and more (Sarah Perez/TechCrunch) | Sarah Perez / TechCrunch: Developers and vibe coders are using AI tools like Claude Code to get rid of sponsored ads on their smart TV… | ↗Not briefed |
bluesky bluesky-ai | 18d | Using an LLM like this without any actual oversight and coding knowledge is dangerous as fuck. You might open doors to even more uninvited … | Using an LLM like this without any actual oversight and coding knowledge is dangerous as fuck. You might open doors to even more uninv… | ↗Not briefed |
arxiv arxiv-ai | 18d | Omni-Woodpecker: Hallucination Correction via Evidence-Prior Rebalancing for Omni LLMs🔧 Modal | Recent Omni LLMs (OLLMs) have demonstrated remarkable capabilities in joint audio-visual reasoning, yet cross-modal hallucinations rem… | ↗Not briefed |
hn hn-ai | 18d | Show HN: Quorus – Claude Code and Codex in one room, reviewing each other's work | — | ↗Not briefed |
arxiv arxiv-ai | 18d | LOB-Impact Benchmark: Emergent Market Impact in Generative Limit Order Book Models | Realistic market impact is essential for generative limit order book (LOB) models to serve as world models for trading agents. If a si… | ↗Not briefed |
bluesky bluesky-ai | 18d | By now it's clear most LLM service providers' plan to become profitable is the Walmart gambit – i.e., secure a monopoly by offering your se… | By now it's clear most LLM service providers' plan to become profitable is the Walmart gambit – i.e., secure a monopoly by offering yo… | ↗Not briefed |
arxiv arxiv-ai | 18d | A general-purpose System One decision model for clinical records | Clinical care, health-system operations and biomedical discovery depend on extracting reliable answers from patient records, yet apply… | ↗Not briefed |
arxiv arxiv-ai | 18d | SciFigBench: A Benchmark for Scientific Method Figure Understanding | Scientific method figures often provide researchers with a clear visual entry point into a paper's methodology and core contributions,… | ↗Not briefed |
arxiv arxiv-ai | 18d | LEAF: LUT-aware Efficient Attention on FPGAs | We introduce Lookup-table (LUT)-aware Efficient Attention on FPGAs (LEAF). LEAF is the first nanosecond-scale LUT-aware transformer fo… | ↗Not briefed |
arxiv arxiv-ai | 18d | ClockMark: Adaptive and Host-Dependent Watermarking for Large Language Models | Large language model (LLM) watermarking operates on the next-token distribution that evolves during generation. In streaming generatio… | ↗Not briefed |
arxiv arxiv-ai | 18d | Graph Neural Networks for Astrophysics and Cosmology | Physics seldom makes breakthroughs when we consider objects only in isolation. Instead we model and measure how objects sit among thei… | ↗Not briefed |
arxiv arxiv-ai | 18d | Text-to-Image Generative Modeling Without Language Pretraining | Modern text-to-image (T2I) systems use internet-scale language pretraining for text-conditioned image generation. We ask whether langu… | ↗Not briefed |
arxiv arxiv-ai | 18d | OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory | Multimodal large language models (MLLMs) have made rapid progress on visual reasoning, yet many tasks require evidence that is difficu… | ↗Not briefed |
arxiv arxiv-ai | 18d | Can It Actually Work? Synthesizing Functional CAD Mechanisms | While LLM agents can generate visually plausible CAD assemblies, these designs often fail to fulfill their intended physical functions… | ↗Not briefed |
arxiv arxiv-ai | 18d | Reinforcement Learning with Visually Attributable On-Policy Self-Distillation | Multimodal reinforcement learning with verifiable rewards (RLVR) provides reliable task-level supervision, yet offers limited guidance… | ↗Not briefed |
arxiv arxiv-ai | 18d | CoopUQ: Robust Multi-Robot Social Navigation via Uncertainty-Aware Cooperative Forecasting | Reinforcement learning enables mobile robots to make fast and scalable navigation decisions in constrained human-shared environments.… | ↗Not briefed |
arxiv arxiv-ai | 18d | Where is Physical RSI capability from? An Observational Scaling Law of LLM-as-policy | In this paper, we systematically investigate the mechanisms, scaling behavior, and generalization of physical Recursive self-improveme… | ↗Not briefed |
arxiv arxiv-ai | 18d | WeAct: Dynamic Weight Switching as Agent Actions | Long-horizon agents must learn heterogeneous capabilities from interleaved trajectories. Updating shared parameters to learn new capab… | ↗Not briefed |
arxiv arxiv-ai | 18d | Train An Imaginative Agent | A seemingly reasonable push in Sokoban can make the puzzle unsolvable. To avoid such mistakes, an agent has to anticipate the conseque… | ↗Not briefed |
arxiv arxiv-ai | 18d | AnyGoal: On World Model Generalization Beyond Expert Rollouts | The goal of a world model is to capture the dynamics of an environment. This has the great appeal that it allows agents to plan and si… | ↗Not briefed |
hn hn-ai | 18d | Show HN: Open-source early-reading reader with phonics help🔧 ChatGPT | My kid is 6 y/o and she is learning to read. She's moved through the basic phonics with Teach Your Monster to Read but was s… | ↗Not briefed |
arxiv arxiv-ai | 18d | LatComm: Reusable Context Compression for Latent Communication between Large Language Models | Systems that combine several large language models (LLMs) often use one context for many questions. When the context is passed between… | ↗Not briefed |
arxiv arxiv-ai | 18d | Newton-Based Methods for Bilevel Optimization Beyond Lower-Level Strong Convexity | Bilevel optimization provides a framework for machine learning tasks such as hyperparameter optimization, data reweighting, and meta-l… | ↗Not briefed |
hn hn-ai | 18d | Pentoniq Tube Synth for macOS | — | ↗Not briefed |
arxiv arxiv-ai | 18d | Discrete Neural Interlingua for Ontology-Agnostic EHR Modeling | EHR foundation models promise scalable clinical prediction across health systems, yet their deployment is constrained by a tokenizatio… | ↗Not briefed |
bluesky bluesky-ai | 18d | I couldn’t agree more- give it to NASA and crest a similar model for AI. | I couldn’t agree more- give it to NASA and crest a similar model for AI. | ↗Not briefed |
arxiv arxiv-ai | 18d | Same Simulation, Different Evidence: Where Retrieved Tool Output Costs LLM Agents Accuracy🔧 GPT-5 | LLM agents that compute the right answer can still answer wrongly. Agent harnesses increasingly keep long tool outputs out of the cont… | ↗Not briefed |
arxiv arxiv-ai | 18d | Kronecker Delta Rule for Long Context Linear Attention | We propose KronLSTM, a linear attention architecture based on the Kronecker Delta Rule, a novel update rule for associative matrix mem… | ↗Not briefed |
arxiv arxiv-ai | 18d | Supervised Learning with Quantum Hamiltonian Embeddings | Machine learning is widely regarded as a promising application in which quantum computing could offer a computational advantage. Howev… | ↗Not briefed |
arxiv arxiv-ai | 18d | Competing Learning in Hybrid Architectures | Many modern language models have adopted hybrid architectures that incorporate both linear-time recurrence and softmax attention. Mode… | ↗Not briefed |
arxiv arxiv-ai | 18d | ProteinGeoBench: Frontier Structural-Biology Agents Are Fluent at Lookup but Lost in Geometry | Frontier agents retrieve structural metadata well and compute geometry from coordinates less reliably. We ask how much of a benchmark… | ↗Not briefed |
arxiv arxiv-ai | 18d | Agent World Model in the Wild: Computer-Use Agent Environment Synthesis | Agent learning is shifting from learning from human data toward learning through interaction with the world. However, scaling such lea… | ↗Not briefed |
arxiv arxiv-ai | 18d | KEEP-Bench: Evaluating Evidence Preservation in Context Compression | Context compression improves long-context efficiency but may introduce faithfulness issues through an information bottleneck. Existing… | ↗Not briefed |
arxiv arxiv-ai | 18d | RefCraft: Benchmarking Visual-Reference-Conditioned Agentic Generation through Web Development | Beyond basic tool use and coding skills, effectively incorporating visual references into agentic generation is equally essential for… | ↗Not briefed |
arxiv arxiv-ai | 18d | MemT-1.0: Towards Memory-Native Evolution | Memory-native evolution requires making memory an intrinsic capability of foundation models, enabling them to continuously accumulate… | ↗Not briefed |
arxiv arxiv-ai | 18d | SpecMRL: Redesign Matryoshka Representation Learning within Parametric Spectrum | Matryoshka Representation Learning (MRL) is designed to support flexible representation sizes by jointly optimizing nested prefixes. W… | ↗Not briefed |
hn hn-ai | 18d | AI agents are only as good as the personal information you share | — | ↗Not briefed |
arxiv arxiv-ai | 18d | AfriBED: a Speech Recognition Bias Evaluation Dataset for Low Resource African Languages | Despite advancements in automatic speech recognition systems (ASR), current systems exhibit speaker-attribute bias, i.e., their speech… | ↗Not briefed |
bluesky bluesky-ai | 18d | Warum heißt es LLM und nicht | Warum heißt es LLM und nicht | ↗Not briefed |
arxiv arxiv-ai | 18d | ASTOR: Benchmarking and Improving Autoformulation for Soft-Constraint Optimization with a Formal Grammar | Real-world decision problems combine two qualitatively different kinds of constraints: requirements that must be satisfied, called har… | ↗Not briefed |
arxiv arxiv-ai | 18d | ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems | As AI systems begin to resolve open research problems, reliable verification becomes increasingly important. Formal mathematics provid… | ↗Not briefed |
arxiv arxiv-ai | 18d | Next Best Action: Causal Constrained Offline RL for Business Action Targeting | Next Best Action (NBA) systems must select among customer interventions (e.g., discounts, promotions, and lifecycle actions), maximize… | ↗Not briefed |
hn hn-ai | 18d | Musk pledges to give a share of his SpaceX company to 'every kid in America' | — | ↗Not briefed |
rss techmeme | 18d | Prism Data, which provides credit-scoring data and analytics that help lenders assess borrowers, raised a $20M Series A led by Story Ventures (Ryan Lawler/Axios) | Ryan Lawler / Axios: Prism Data, which provides credit-scoring data and analytics that help lenders assess borrowers, raised a $20M Se… | ↗Not briefed |
arxiv arxiv-ai | 18d | Safety Mid-Training: Internalizing LLM Safety as a Foundational Capability | Safety alignment for large language models (LLMs) is primarily performed during post-training, while recent work has also begun incorp… | ↗Not briefed |
bluesky bluesky-ai | 18d | techcrunch.com/2026/10/19/m... Yeah. Sure…. | techcrunch.com/2026/10/19/m... Yeah. Sure…. | ↗Not briefed |
arxiv arxiv-ai | 18d | Scaling Parameter-Efficient Fine-Tuning for Brain Encoding🔧 Modal | Brain encoding models aim to predict neural responses to stimuli. The most widely used approach fits readouts from frozen pretrained b… | ↗Not briefed |
rss mit-tech-review-ai | 18d | “We were looking at it wrong”: The explosive claim that’s upended the AI world | “I think I have good news about the nature of neural networks.” With those simple words of optimism, Nick Cammarata, a researcher at t… | ↗Not briefed |
arxiv arxiv-ai | 18d | Mise-en-Video: Fine-Grained 3D Control for Multi-Shot Video Generation | Recent advances in text-to-video generation have enabled high-fidelity single-shot synthesis, yet practical storytelling creation requ… | ↗Not briefed |
arxiv arxiv-ai | 18d | Learning to Refer: Inference-Time Collaboration in Decentralized Federated Learning | In decentralized federated learning, heterogeneous clients may develop complementary expertise, yet each query is typically evaluated… | ↗Not briefed |