Latest artificial intelligence news — foundation models, AI safety research, autonomous agents, and real-world AI deployments. Updated every 30 minutes from top AI publications.
A developer worked around DynamoDB's TopK=100 cap on vector search results by sharding the vector index partition key into five hash-derived groups and querying them in parallel, then merging and deduplicating the per-sh…
AI governance is expected to be on the agenda at a planned meeting next week in Washington between President Donald Trump and Chinese leader Xi Jinping, even as both countries view each other's AI strategy with growing s…
OpenAI disclosed six reports of "unexpected or concerning" behavior in its AI models and introduced a new framework for tracking, probing and disclosing model misalignment, the company said Wednesday. The cases, found du…
A new arXiv paper, GraphEcho (arXiv:2609.17695v1), introduces a benchmark showing that large language model agents can mistake repeated graph paths for independent corroboration, with redundant supporting paths increasin…
A new arXiv paper (2609.17865v1) introduces SAFE, a controlled benchmark testing whether frontier models acquire safety-relevant evidence before making deployment decisions. Across GPT-5.5, o3, Claude Opus 4.8, and Claud…
A new arXiv paper (2609.17847v1) introduces "individuated utility" functions that condition reward models on both the individual and their decision context, arguing that annotator disagreement in subjective tasks reflect…
A training-free routing policy called the Tri-Metric Router achieved 0% out-of-memory failures and 88.5 ± 4.4% oracle alignment on out-of-distribution holdouts for retrieval-augmented generation on commodity GPUs, accord…
Researchers proposed OBC-Prune, an outcome-based calibration method for pruning large reasoning models that weights reasoning tokens by their causal contribution to correct answers rather than by uniform statistical sali…
A study posted to arXiv (2609.17532v1) uses large language model-derived features from free-text respiratory therapy notes plus a logistic regression pipeline to improve prediction of extubation failure (EF) in invasivel…
A position paper posted to arXiv (2609.17546v1) argues that hallucinations in legal LLMs should be evaluated as a failure of legal warrant rather than as factual inaccuracy or citation failure. The authors define claim-a…
Researchers introduced Fathom, a per-query read-depth key scan for sparse decoding over offloaded KV caches, which at one million tokens on Qwen3-8B runs a decode step 1.67x faster in GPU time than the 136-bit scans of D…
Researchers introduced Diffusion Skill Discovery (DSD), a skill discovery method that uses a diffusion model to approximate the entropy gradient of a policy-induced state distribution through score matching, according to…
A new arXiv paper (2609.17691v1) introduces "draft trees," a speculative sampling method that accelerates diffusion model generation by up to 8.3% over the reflection maximal coupling baseline in practical settings. The …
Researchers released Zing-0.5, a 5B autoregressive world model that supports joint keyboard and online text control for real-time playable generated worlds, according to the arXiv paper 2609.17909v1. Zing-0.5 scores 81.0…
A hubs-based K-12 education framework called AI, Robotics, & Community (ARC), in which colleges train undergraduate mentors and host workshops for nearby K-12 robotics teams, reached 74% of Indiana's 1,925 public K-12 sc…
A confidence-gated hybrid that escalates only the least-confident predictions from a stacked ensemble to an LLM Pareto-dominates both pure systems on all three emotion-recognition datasets tested, reaching 0.620, 0.643 a…
A new arXiv paper (2609.17969v1) argues that long-horizon personalized AI should model memory as a user-specific dynamical state space with locally heterogeneous geometry rather than as discrete records in a static laten…
A new arXiv paper (2609.18126v1) formulates agentic AI deployment as a workflow portfolio problem in which a firm jointly chooses run size and allocation across workflow types, reporting that portfolio optimization impro…
Researchers introduced PIVOT, a dual-level learning framework that anchors policy optimization around informative visual reasoning signals to improve multimodal reasoning in large vision-language models (LVLMs). PIVOT co…
EffiRAG, a graph-based retrieval-augmented generation system, produced the preferred answer on 93 of 120 open-ended questions in the UltraDomain benchmark while cutting total system cost by 57 percent, from USD 0.952 to …