AI news archive.
19,854 articles, newest first, from the outlets listed on the sources page.
- Guardian AIpolicyWe need ‘right to intervene’ in AI amid growing threat, says Bank of England boss
Andrew Bailey’s comments come as fears grow that rogue models could take financial system hostage Business live – latest updates The governor of the Bank of England has called for the “right to intervene” in the AI indus…
- MIT Technology Review AIsafety“We’re not going to shoot ourselves in the foot” over hack fallout, says OpenAI’s chief research officer
Two months after the bombshell news that a swarm of its agents had broken their containment and hacked into the computers of the AI company Hugging Face, OpenAI is still putting out fires. A steady drip of disclosures ab…
- OpenAI NewssafetyDisrupting a coordinated model-distillation campaign
Learn how OpenAI disrupted a campaign to extract protected model reasoning and is strengthening defenses against adversarial distillation.
- BBC TechnologypolicyRegulating AI 'not the right place to start' says Bailey
AI needs "rigorous" testing and safeguards to contain risk, Andrew Bailey says.
- The DecoderpolicyGoogle is paying almost no publishers almost nothing for content used in AI answers
Google pays about 100 digital publishers for content used in AI Overviews, AI Mode, and Gemini, according to The Information. Payments range from under $1,000 over several months to more than $1 million a year. Some part…
- TechRadar AIsafetyBanks need to rethink resilience for the speed of an AI attack
Mainstream AI news from a large tech publication.
- Guardian AIsafetyBill Gates predicts AI will kill a billion people – but saying he’s been wrong before is quite the understatement | Arwa Mahdawi
He knows a thing or two about tech, but what to make of the views of a man who met Jeffrey Epstein 30 times and couldn’t see what a monster he was? The Bill Gates rehabilitation tour is in full swing. After having his ca…
- Guardian AIsafetyA fake image of a Georgia mayor kissing a person went viral. Can US voters trust everything they see?
Deepfakes and misinformation driven by artificial intelligence have become a point of deep concern for legislators, advocates and the public An image of Bianca Motley Broom, the mayor of College Park, Georgia, kissing a…
- OpenAI NewscommunityHelping small businesses put AI to work
OpenAI is partnering with America’s SBDC to expand hands-on AI training and local support for small businesses, alongside a new report on how small teams are using AI.
- The DecoderpolicyTrump and tech CEOs sign an AI code of conduct that's only "morally binding"
President Trump and tech leaders including Mark Zuckerberg, Greg Brockman, Jensen Huang, and Elon Musk signed an AI code of conduct at the White House that is only "morally binding." Outside auditors are supposed to chec…
- TechRadar AIcommunityFrom cloud adoption to cloud maturity: The new imperative for enterprise AI
Mainstream AI news from a large tech publication.
- Tom's Guide AImodelsWhy Siri never worked like ChatGPT — former Siri AI researcher explains what Apple had to change
Consumer AI launches, tools, and practical coverage.
- Tom's Guide AIcommunityI scoured Reddit for Muse AI use cases — 10 that will actually save you time
Consumer AI launches, tools, and practical coverage.
- Latent Spacemodels[AINews] OpenAI DevDay 2026: Dots, 6.1 Sol, Ultrafast, Decisions API, Agents API, Spaces, Marketplace, and 1.2 Billion ChatGPT WAU
the most confident DevDay yet.
- LessWrongcommunitySelf as sub-selves vs groups of individuals
Our mind contains representations (perfect/imperfect) of the world. When someone is able to understand and control their mind, it is said they can understand and conquer the world (in spirituality). Why so? Probably pico…
- The Register AI + MLagentsOpenClaw slips on a suit to evade widespread business bans
Red Hat, Nvidia, OpenAI and friends are working on an enterprise edition they say is ‘Kubernetes for agents’
- Guardian AIcommunitySKF advert review – let’s hope this dull AI Greta Garbo is not the future
Swedish-American actor exhumed for bizarre, humourless 99 seconds that give us another reason to resent AI Poor Greta Garbo. Perhaps, in life, she thought her final indignity would be the Peter Cook and Dudley Moore TV s…
- Guardian AIcommunityReanimated AI Greta Garbo stars again … in a ball-bearing advert
Relatives of Hollywood legend say her doppelganger could now be used for more glamorous roles She shimmered in Hollywood’s silent movie era and lit up the first talkies – now Greta Garbo may be about to star in cinema’s…
- Guardian TechnologypolicyNandy says children’s social media ban only ‘staging post’ in online safety drive
Exclusive: Culture secretary says UK will crack down further and be ‘pioneer of tech as a force for good’ Lisa Nandy has warned technology firms that the government’s online safety crackdown is not finished, saying that…
- Tom's Guide AImodelsOpenAI just launched Dots — here’s why most ChatGPT users can’t try them yet
Consumer AI launches, tools, and practical coverage.
- arXiv cs.AIagentsOpenAI-HuggingFace: A Reproduction & Lessons for Alignment Testing
arXiv:2609.35799v1 Announce Type: new Abstract: In July 2026, OpenAI's agents coordinated over channels outside their intended environment to breach Hugging Face's secured infrastructure. Could existing alignment testing…
- arXiv cs.AIresearchNeurosymbolic Routing for Reliable Reasoning on Resource-Constrained Edge Devices
arXiv:2609.35833v1 Announce Type: new Abstract: Running a language model on edge hardware provides private and low-latency reasoning without a network connection, and yet the small models that fit on such devices are unr…
- arXiv cs.AIresearchIs Human-Readable Text Necessary for Effective LLM Fine-Tuning?
arXiv:2609.35868v1 Announce Type: new Abstract: Is human readability necessary for effective fine-tuning of large language models? We investigate whether model-conditioned training representations can preserve or improve…
- arXiv cs.AIresearchThe Price of Token Boundaries: Compression Certificates and Prediction
arXiv:2609.35869v1 Announce Type: new Abstract: Pre-tokenisation restricts which text fragments can become prediction units, but its compression cost is obscured when tokenisers are compared only under the same boundarie…
- arXiv cs.AIresearchMore Programs or More Rolls? Separating Coverage from Specialization in LLM Harnesses
arXiv:2609.35873v1 Announce Type: new Abstract: Automated generation of LLM harnesses promises to improve inference through task specialization. Yet additional answer coverage can arise from repeated execution of the sam…
- arXiv cs.AIresearchRisk-Averse Online POMDP Planning via CVaR of the Immediate Cost with Performance Guarantees
arXiv:2609.35874v1 Announce Type: new Abstract: Online POMDP planners optimize the expected cumulative cost, which can mask dangerous states when the belief places significant mass on high-cost states. Existing risk-aver…
- arXiv cs.AIagentsBeyond Symmetric Agents: Cognitive Diversity and Multi-Agent Debate in Small Language Models
arXiv:2609.35875v1 Announce Type: new Abstract: Multi-agent debate (MAD) reportedly improves reasoning and factuality over single-model inference, but prior work treats agents as symmetric peers, leaving open what drives…
- arXiv cs.AIresearchRepresentational Simplicity and Circuit Size Dissociate in a Threshold-Dependent Way: A Controlled Test via Adversarial Training
arXiv:2609.35890v1 Announce Type: new Abstract: Sparse-autoencoder decomposability and concentrated feature attribution are increasingly treated as evidence that a model's computation is easier to reverse-engineer. Wheth…
- arXiv cs.AIresearchSelf-discovering RL in the Era of Experience: Is Learning History an Asset or a Burden?
arXiv:2609.35897v1 Announce Type: new Abstract: The pursuit of recursive self-improvement (RSI) toward general intelligence is divided between macro-level language model scaling and the interaction-driven principles of "…
- arXiv cs.AIresearchGrab a Coffee: Future-Aware Guidance for Discrete Diffusion with Compiled Objectives
arXiv:2609.35924v1 Announce Type: new Abstract: Discrete diffusion models generate sequences by iteratively resolving multiple tokens in parallel, offering a flexible alternative to left-to-right generation. However, gui…
- arXiv cs.AIagentsRight Words, Wrong Moment: A Clinician-Grounded Analysis of Distress in 19,930 Conversations between Young People and ChatGPT
arXiv:2609.35953v1 Announce Type: new Abstract: Young people increasingly turn to General-Purpose Conversational Agents (GPCAs), such as ChatGPT, in moments of distress. We examine young adults' (ages 18-25) experiences…
- arXiv cs.AIagentsSAGE: A Statistical Acceptance Gate for Self-Evolving Agents
arXiv:2609.36043v1 Announce Type: new Abstract: Large Language Model (LLM)-based agents increasingly self-evolve by editing a persistent skill document that encodes their workflow, tool-use rules, and decision logic. Thi…
- arXiv cs.AIresearchPowerZooJax: A JAX-based Power System Benchmark for Reinforcement Learning
arXiv:2609.36052v1 Announce Type: new Abstract: Power system operation is a safety-critical sequential decision-making problem, making it a natural testbed for reinforcement learning (RL). However, existing RL environmen…
- arXiv cs.AIresearchGeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning
arXiv:2609.36056v1 Announce Type: new Abstract: In urban low-altitude flight, buildings reshape ambient wind into spatially varying 3D flow, making unmanned aerial vehicle (UAV) energy depend on local wind exposure as we…
- arXiv cs.AIresearchMirror-Score: Calibrated, Inference-only Scoring Exposes the Limits of Sequence-compatibility Ranking in D-peptide Design
arXiv:2609.36057v1 Announce Type: new Abstract: D-peptides combine protease resistance with high target specificity, but computational design of D-peptide binders remains immature. Mirror-Peptidizer introduced an in sili…
- arXiv cs.AIresearchSMat-Attention: Structured Long-Context Sequence Modeling
arXiv:2609.36062v1 Announce Type: new Abstract: Long-context sequence models face a fundamental tradeoff: softmax attention uses flexible token-level interactions at quadratic cost, whereas linear attention obtains linea…
- arXiv cs.AIagentsLongCat-DeepResearch Technical Report
arXiv:2609.36071v1 Announce Type: new Abstract: We present LongCat-DeepResearch, a deep research system that combines an enhanced LongCat model with a multi-agent workflow for producing comprehensive, evidence-grounded r…
- arXiv cs.AIresearchA Polyphonic Conception of AI Understanding
arXiv:2609.36079v1 Announce Type: new Abstract: When a doctor, a judge, or an engineer must decide whether to trust an AI model's output, they cannot avoid asking what the model understands. Purely mathematical or statis…
- arXiv cs.AIresearchGeoOutageBench: Benchmarking Ambiguity-aware, Ontology-grounded Geospatiotemporal KGQA for Multimodal Power Outage and Resilience Analysis
arXiv:2609.36082v1 Announce Type: new Abstract: We introduce GeoOutageBench, a benchmark for assessing LLM-based geospatiotemporal KGQA for multimodal outage and resilience analysis. Unlike existing KGQA benchmarks for W…
- arXiv cs.AIagentsAn Exact Generate - Transform Decomposition of Small-LLM Team Scaling Across Orchestration Architectures
arXiv:2609.36104v1 Announce Type: new Abstract: Replacing one LLM agent with a collaborating team can raise accuracy, but whether scaling the team helps, and which architecture to scale, is unclear. Sweeping eight agent…
- arXiv cs.AIresearchThe Layer Mystery of VLA: An Information-Theoretical Analysis of VLA Latent Interface
arXiv:2609.36118v1 Announce Type: new Abstract: Vision-language-action (VLA) policies connect a pretrained vision-language backbone to an action head through a latent interface, but which backbone layers this interface s…
- arXiv cs.AIresearchAdaST: Adaptive Coupling for Spatial-Temporal Forecasting
arXiv:2609.36119v1 Announce Type: new Abstract: Spatial-temporal (ST) forecasting underpins many real-world systems such as traffic, climate, and energy networks. While existing methods implicitly assume strong spatiotem…
- arXiv cs.AIagentsMemory Is a Derivation: The Distributed-Evidence Paradox in Long-Term Agents
arXiv:2609.36130v1 Announce Type: new Abstract: Long-running LLM agents compress past interactions into persistent memories that may be reused as premises for later tasks. This creates a distinct derivation problem: whet…
- arXiv cs.AIresearchMore Features Are Not More Evidence: Limits of Training-Free Human Activity Recognition with Jev
arXiv:2609.36154v1 Announce Type: new Abstract: General-purpose models promise sensor-based decisions without training a task-specific classifier, which could reduce the dependence of Human Activity Recognition (HAR) on…
- arXiv cs.AIagentsPrincipled Thoughts for Latent Recursive LLM Systems
arXiv:2609.36159v1 Announce Type: new Abstract: Large language models can reason in continuous space instead of decoded text, by recurring on their own hidden states or by passing those states between agents, while train…
- arXiv cs.AIresearchFigAct: Turning Scientific Figures into Active Canvases for Explanation
arXiv:2609.36190v1 Announce Type: new Abstract: Scientific figures are designed to communicate information visually, yet MLLMs typically explain them by translating their visual content back into text. This requires read…
- arXiv cs.AIresearchAn Empirical Study and Assessment of EU AI Act Compliance Checkers
arXiv:2609.36228v1 Announce Type: new Abstract: The EU AI Act introduces extensive compliance requirements for organizations that develop, deploy, or integrate AI systems. Many of these requirements are directly relevant…
- arXiv cs.AIagentsMERID: Multimodal Exploration via Recursive Self-Improvement Agents for Major Depression Analysis
arXiv:2609.36235v2 Announce Type: replace Abstract: Major depressive disorder (MDD) severely impacts daily activities and quality of life. Detecting MDD involves multimodal data, such as interview recordings and sensor m…
- arXiv cs.AIagentsChronoSRL: Temporal Geometry for Self-Supervised Reinforcement Learning
arXiv:2609.36238v1 Announce Type: new Abstract: A goal that is close in space can be far away in time. Obstacles, terrain, and the agent's own capabilities determine how long it takes to get there. Yet, critics in contra…
- arXiv cs.AIresearchCoRe: Co-Evolving Reward Models for Mitigating Latent Reward Hacking in Video Diffusion Models
arXiv:2609.36245v1 Announce Type: new Abstract: Latent reward models (LRMs) enable efficient alignment of video diffusion models by scoring intermediate states directly in latent space. However, we find that optimizing a…