AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- TechRadar AIsafetyThe case for purpose-built generative AI in fraud prevention
Mainstream AI news from a large tech publication.
- Engadget AIcommunityMeta Connect 2026 live: Updates from Mark Zuckerberg's keynote on AI glasses, VR and more
More smart glasses and possibly a VR headset are expected today
- TechRadar AIsafetyAI floods security teams with findings. The advantage is in what happens next
Mainstream AI news from a large tech publication.
- WIRED AIcommunityAT&T Is Automating Away Jobs—and Its Old Telecom Empire
The telecom giant is eager to show Wall Street that it can do more with less. That means fewer employees, less electricity, and increased automation.
- The DecoderstartupsOpenAI hires Patreon co-founder Sam Yam to lead a new Creator Product division
OpenAI has hired Patreon co-founder Sam Yam to lead a new "Creator Product" division. After more than 13 years at the creator platform, he's bringing two Patreon executives with him. The team will build new tools for cre…
- OpenAI NewssafetyIntroducing MentalHealthBench
MentalHealthBench is an expert-informed benchmark for evaluating helpful and safe AI responses across realistic mental health conversations.
- TechRadar AIagentsWhy AI agent governance must start with enterprise data
Mainstream AI news from a large tech publication.
- MIT Technology Review AIsafetyThe AI Hype Index: AI loves cheating
Brace yourself: It turns out AI is being optimized for cheating. OpenAI’s agents hacked into Hugging Face to get the answers to a cybersecurity test. Next, they solved a prestigious math problem (or just stole from two t…
- BBC TechnologypolicyPornhub investigated over its age checks
The regulator says it has concerns over how the site is relying on third party checks provided by Apple for some users.
- LessWrongsafetyMinimal Vs Maximal superintelligence
I've seen lots of arguments here conflate lots of different types of superintelligence. Here I separate out two broad categories, which I'll term minimal and maximal superintelligences. This is an important distinction a…
- Tom's Guide AIcommunityI turned off Siri in macOS 27 — so why is it still running? Here’s what’s happening
Consumer AI launches, tools, and practical coverage.
- The Register AI + MLmodelsShut up and calculate: Jev's new AI primitives for coders
Developers test what they can build with TypeSafe's fast, typed decision model
- LessWrongresearchWorkspaceBench: Evaluating Interpretability Methods for the Global Workspace
TL;DR We introduce WorkspaceBench, a set of evaluations for how well an activation-to-text tool can read the contents of the “global workspace” of a model, i.e. the intermediate variables during a forward pass. The bench…
- Latent Spacemodels[AINews] Claude Opus 5.5, the new default model for AINews — and everybody cuts prices 40-50%
overshadowing more efficient GPT6 models from OpenAI
- Tom's Guide AIsafety‘You cannot govern what you cannot see’: security expert warns of the risks of shadow AI and autonomous agents
Consumer AI launches, tools, and practical coverage.
- Guardian AIpolicyNew UK agency to fight ‘information warfare’ from likes of Russia, Burnham tells UN
PM aims to ‘stem poisonous tide’ of disinformation and deepfakes with National Centre for Information Defence Security chiefs will set up a new national centre to tackle disinformation and deepfakes from hostile states s…
- TechCrunch AIpolicy‘We’re already fighting yesterday’s battle’: Greece’s prime minister gets candid about AI
Most leaders on a trade mission stick to the pitch, but when I interviewed Greek Prime Minister Kyriakos Mitsotakis this week, he also admitted that no government is ready for what AI is about to do.
- TechRadar AIcommunityAI is wiping out whole degrees in China — translation, photography, illustration and fashion design are going, while prompt engineering is the new job appearing in film
Mainstream AI news from a large tech publication.
- arXiv cs.AIresearchDo Synthetic Personas Predict Real Audience Response? A Sim-to-Real Study Where a No-Persona Baseline Beats Persona-Based Copy Simulation
arXiv:2609.25010v1 Announce Type: new Abstract: Marketers increasingly use large language models (LLMs) as "synthetic personas" to predict how an audience will react to a piece of copy before it ships, encouraged by evid…
- arXiv cs.AIresearchDo Existing Preconditioners Improve Biomedical Tabular Foundation Learning? An Empirical Study on TabPFN Optimization
arXiv:2609.25013v1 Announce Type: new Abstract: Tabular foundation models have recently shown strong potential for structured biomedical data analysis. Among them, TabPFN has emerged as an effective approach for low-data…
- arXiv cs.AIresearch4DGS-JEPA: Temporally Compositional Joint-Embedding Prediction for Dynamic Gaussian Splatting
arXiv:2609.25036v1 Announce Type: new Abstract: Dynamic Gaussian Splatting provides an explicit representation of evolving 3D scenes, but existing approaches are primarily optimized for reconstruction, future-state gener…
- arXiv cs.AIresearchAn Accurate and Interpretable Hyper Graph Neural Network for GBM Survival Prediction
arXiv:2609.25088v1 Announce Type: new Abstract: Survival prediction for glioblastoma multiforme (GBM) demands models that are both accurate and interpretable, yet existing approaches treat these objectives as com- peting…
- arXiv cs.AIresearchOvis-Embedding: Pushing the Frontiers of Universal Omni-Modal Embeddings
arXiv:2609.25165v1 Announce Type: new Abstract: In this report, we introduce \textbf{Ovis-Embedding}, a state-of-the-art omni-modal embedding family built on native integration of text, image, video, and audio. Instead o…
- arXiv cs.AIresearchX-Planner: Event-Structured Task Planning for Embodied Intelligence
arXiv:2609.25187v2 Announce Type: replace Abstract: Task planning bridges high-level instructions and executable behavior in long-horizon manipulation, yet modern Vision-Language-Action (VLA) systems often leave this int…
- arXiv cs.AIagentsLean Pool: An AI-Maintained Archive of Formalized Mathematics
arXiv:2609.25199v1 Announce Type: new Abstract: Lean Pool is a repository of formalized mathematics. It is grown, maintained and optimized by AI agents.
- arXiv cs.AIagentsThe AI Neuroscientist: An Interactive Agentic Interface for Neuroimaging Analysis
arXiv:2609.25254v1 Announce Type: new Abstract: Analyzing neuroimaging data requires specialized coding and statistical expertise, which limits accessibility for researchers without computational backgrounds. We present…
- arXiv cs.AIresearchMedGate-Fusion: Integrating First-Encounter Semantic Narratives and Physiological Biomarkers for Prospective Stroke Risk Stratification
arXiv:2609.25272v1 Announce Type: new Abstract: Prospective stroke risk stratification in primary care is challenging because early risk signals are distributed across routine biomarkers and unstructured clinical narrati…
- arXiv cs.AIagentsWhen LLM Agents Fail to Read the Room: ReAdapt for Relational Social Reasoning
arXiv:2609.25284v1 Announce Type: new Abstract: A social agent's most basic decisions (should I react to this post? who should I reach out to?) are not purely content problems. The right action often hinges on the latent…
- arXiv cs.AIresearchAttention as a Routing Graph: Live Circuit Extraction from a Single Forward Pass
arXiv:2609.25285v1 Announce Type: new Abstract: Finding circuits in language models usually means running many careful interventions. We try something simpler: treat attention as a routing map from one forward pass, keep…
- arXiv cs.AIagentsLearned Enterprise Data Comprehension: Compression and Routing for Data Agents
arXiv:2609.25286v1 Announce Type: new Abstract: Structured-data agents in enterprise settings must reason over complex data environments whose relevant evidence is distributed across schemas, relationships, policies, and…
- arXiv cs.AIagentsMaking Agents More Consistent: Skills Should Form Habits for Repeat Tasks
arXiv:2609.25299v1 Announce Type: new Abstract: On repeated work, agents are inconsistent. We ran 42 tasks three times each and found that, depending on the model, 38% to 74% returned answers that did not agree. Consiste…
- arXiv cs.AIresearchPotential for Enhanced Learning in Machine Learning Classes by Using Wiki LLM Indexing
arXiv:2609.25303v1 Announce Type: new Abstract: Large language models are increasingly deployed as course-specific tutors, but their usefulness depends on grounding in vetted instructional materials that are often revise…
- arXiv cs.AIresearchClarification Is Not Correction: LLMs Fail to Let Go
arXiv:2609.25337v1 Announce Type: new Abstract: Dialogue failures in language models are usually framed as memory failures: context too long, summaries lossy, a constraint forgotten. We argue this misses a deeper problem…
- arXiv cs.AIresearchFrom Decorative to Load-Bearing: Task Difficulty Shapes the Causal Role of Chain-of-Thought
arXiv:2609.25366v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring is only meaningful if written reasoning causally constrains the answer. We introduce continuation-based causal testing, an ablation-patch…
- arXiv cs.AIresearchRobust Failure, Conservative Repair: Textual Knowledge Distillation from Cross-Model Failures
arXiv:2609.25400v1 Announce Type: new Abstract: Failure-based textual knowledge distillation aims to discover gaps in a model's knowledge by examining its task errors. The distilled knowledge can be useful for the reason…
- arXiv cs.AIresearchEfficient Iterative Retrieval with Heterogeneous Batching
arXiv:2609.25405v1 Announce Type: new Abstract: Modern information retrieval increasingly employs both embedding and generative models to handle complex queries. However, current serving systems suffer from low throughpu…
- arXiv cs.AIresearchFrom Offline Proxies to Online Decisions: A Layered Engagement Evaluation Framework for Conversational AI
arXiv:2609.25408v1 Announce Type: new Abstract: Online A/B experiments are the decision standard for user engagement, but traffic and readout time limit how many conversational-AI changes can be tested. We ask whether an…
- arXiv cs.AIagentsZeroGate: Trust-Preserving Fast Paths for Governed AI Agent Runtimes
arXiv:2609.25443v1 Announce Type: new Abstract: Moving authorization earlier can shorten an agent's dispatch boundary without removing authorization work. It can also admit an action whose payload, authority, or relevant…
- arXiv cs.AIresearchRollout Efficiency in Reinforcement Learning for Reasoning Large Language Models: A Taxonomy and Future Directions
arXiv:2609.25463v1 Announce Type: new Abstract: Reasoning-oriented reinforcement learning enables large language models to solve mathematical, coding, and other multi-step tasks, but shifts a substantial portion of the t…
- arXiv cs.AIresearchReal-Time Hand Gesture Recognition for OpenXR Using Transformer-Based Machine Learning
arXiv:2609.25466v1 Announce Type: new Abstract: Hand gesture recognition is a key component in human-computer interaction (HCI), enabling intuitive interfaces for applications in gaming, virtual reality (VR), robotics, a…
- arXiv cs.AIagentsShowTellArena: Evaluating Business Workflow Understanding from Demonstrations
arXiv:2609.25467v1 Announce Type: new Abstract: We often teach a colleague by showing the work and explaining the decisions as we go. How can we check what an agent understood from the same lesson? We introduce ShowTellA…
- arXiv cs.AIresearchRAG-NAROK: Retrieval-Aware Knowledge Corpus Poisoning in RAG with Source-specific Refutation
arXiv:2609.25469v1 Announce Type: new Abstract: Retrieval augmented generation (RAG) systems have emerged as the dominant architecture for grounding large language model (LLM) outputs in verifiable external knowledge, ye…
- arXiv cs.AIresearchSpectra: A Rules-Driven LLM Pipeline for Automated KYC Document Processing
arXiv:2609.25474v1 Announce Type: new Abstract: Know Your Client (KYC) onboarding in capital markets requires analysts to manually classify documents, extract structured data from heterogeneous sources, and validate comp…
- arXiv cs.AIresearchQueer inclusion in speech datasets: An audit and taxonomy of practical tensions
arXiv:2609.25491v1 Announce Type: new Abstract: In this paper, we examine speech datasets for their inclusion of LGBTQIA+, or queer, voices and provide a taxonomy of tensions to better understand why there is a lack of s…
- arXiv cs.AIresearchTowards participatory speech dataset curation: A queer case study and conceptual framework
arXiv:2609.25496v1 Announce Type: new Abstract: In this paper, we motivate the need for a participatory speech dataset creation framework through a case study of the LGBTQIA+, or queer, community - a community with docum…
- arXiv cs.AIresearchSMTB: Fast Structure-Mapping with Tight Bounds
arXiv:2609.25508v1 Announce Type: new Abstract: Structure-mapping forms analogies by aligning systems of relationally connected elements based on shared structure instead of surface features. We introduce a new structure…
- arXiv cs.AIresearchWeakly Supervised Quantum Error Mitigation
arXiv:2609.25555v1 Announce Type: new Abstract: Supervised approaches to quantum error mitigation learn a map from noisy circuit outputs to ideal ones, and therefore require the ideal outputs. Producing those ideal outpu…
- arXiv cs.AIagentsRecovering Agentic Sovereignty: Mitigating the Consensus Paradox via Contrastive Epistemic Decoding
arXiv:2609.25570v1 Announce Type: new Abstract: Large language models (LLMs) exhibit a parametric vulnerability to adversarial swarm consensus. To mitigate this sycophancy, we introduce Contrastive Epistemic Decoding (CE…
- arXiv cs.AIresearchA Behavioral Trait Leaks into Preferences: Diagnosing Trait Interference in LLM User Simulators
arXiv:2609.25572v1 Announce Type: new Abstract: LLM-based user simulators aim to bridge the offline-online gap in recommender evaluation by emulating users through injected traits, where preference attributes determine w…
- arXiv cs.AIresearchDirect Optimization of Generators for Search in Automated Theorem Proving
arXiv:2609.25575v1 Announce Type: new Abstract: Fine-tuned Large Language Models (LLMs) significantly advance Automated Theorem Proving (ATP), but are often deployed as guiding policies within tree search rather than for…