Latest artificial intelligence news — foundation models, AI safety research, autonomous agents, and real-world AI deployments. Updated every 30 minutes from top AI publications.
Researchers introduced VFlash, a method for fast, accurate visual planning that decodes points, bounding boxes and trajectories as "flash primitives" rather than generating visual plans one coordinate at a time. The appr…
METR reports that Anthropic has probably hit the 2x acceleration threshold under its Responsible Scaling Policy and may now be running as high as 3x, citing a new internal Anthropic model METR calls Model 4 that finished…
A developer published a practical guide to evaluating RAG retrieval, drawing on small reproducible experiments in a public lab repo to show how retrieval metrics behave. The writeup argues retrieval deserves its own eval…
Check Point researchers disclosed a now-patched ChatGPT vulnerability that let attackers bypass Lockdown Mode to silently exfiltrate chat data, deliver phishing lures and push malware, including zero-click data theft in …
Yuxin Zhu of AntV, the open-source data visualization team behind G2 and G6, published a tutorial for building a command-line data analysis agent using the newly released AVA 4.0 framework, DuckDB, and TypeScript. The ag…
DeepSeek released DeepSeek-V4.1-Flash on September 10, 2026, with native multimodal input, a new inference-focused architecture and reduced API prices effective 04:00 UTC that day, and Meta and Reflection answered with o…
A benchmark called NPCBench has been introduced as a clinical apprenticeship benchmark for multimodal care-pathway reasoning in nasopharyngeal carcinoma, targeting a gap the authors say existing medical benchmarks leave …
Automated feedback to volunteer tutors raised eliciting of learner ideas, uptake of learner contributions and learner reasoning by 8-15% in a randomized controlled trial across two four-week SAT mathematics bootcamps on …
Researchers built PRISM, an agentic large-language-model pipeline that screened 3.9 million posts across 32 online health communities and surfaced 123 candidate genetic-variant classification differences, 5 of them invol…
Soft prompt tuning consistently raises open-source LLM judges' agreement with human annotations, according to an arXiv paper (2611.07126v1) trained on the FairBotBench benchmark and evaluated on bias, toxicity, and perso…
Researchers proposed source-balanced capped Fisher (SCF), an aggregation method for user inference that determines whether a source contributed documents to a language-model update using only fresh documents from that so…
A clinician-informed evaluation of 32,555 simulated conversations across 18 chatbot APIs found an overall safety-criterion failure rate of 43.3% without a teen-aware system prompt and 24.9% with it, according to arXiv pa…
RecSA (Recursive Sparse Attention), a method that builds a tree over the KV cache so each query has O(log L) selection cost and reads O(log L) entries, outperformed all baselines on RULER at every length from 131K to 2M …
A new arXiv paper (2611.07238v1) introduces a unified framework for measuring token waste in AI agents that records and normalizes complete agent trajectories, flags removable spans with an LLM-as-a-Judge, and maps them …
Researchers used sparse autoencoders trained on Pythia-70M to identify "plural noun," "plural matrix subject," and "generate a plural verb" features that drive the 70M-parameter model to emit plural verb forms such as "a…
A new arXiv paper, 2611.07065v1, frames three classes of generative AI models as stochastic dynamical systems: large language models as high-dimensional nonlinear autoregressive models with attention-based dependencies, …
A team of researchers built an LLM model zoo of GPT-2 populations at 51M, 124M and 355M parameters, each tier with N = 100 models, by systematically varying training data mixtures across web text, books, mathematics, cod…
A new arXiv paper (2611.07130v1) proposes prescriptive policy learning (PPL), a reinforcement learning approach that teaches agents higher-level "principles of behavior" — such as how to maintain balance, accumulate ener…
Researchers posted arXiv:2611.07165v1, introducing QRCIT, a quantile-resolution conditional independence test that compares P(X|Z) and P(X|Y,Z) through a quantile deformation learned by a shared model, backed by a lightw…
A new arXiv survey (2611.07160v1) argues that the Ensemble Score Filter (EnSF) is the state of the art for non-Gaussian, high-dimensional filtering in data assimilation, avoiding the three failure modes of Kalman-based, …