AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- TechRadar AIcommunityThe human infrastructure behind AI-ready manufacturing
Mainstream AI news from a large tech publication.
- WIRED AIcommunityKevin Roose Didn’t Use AI to Write His Book About AI
The author of The AGI Chronicles says his book “was written by a very tired, overworked, under-slept human being.”
- Guardian TechnologycommunityDrax datacentre could create nearly twice the yearly emissions of all Gatwick flights
Exclusive: Campaign group’s analysis of North Yorkshire plans finds datacentre would have to burn 4.9m tonnes of wood a year Drax’s planned datacentre could produce nearly double the emissions of all flights out of Gatwi…
- Guardian TechnologypolicyOfcom investigates Meta over Instagram Instants safety checks
Watchdog examining whether company carried out adequate risk assessment as required by Online Safety Act Mark Zuckerberg’s Meta is under investigation for a potential breach of the UK’s digital safety laws after launchin…
- OpenAI NewsagentsAdvancing computer use with Ironclad
Learn how OpenAI and Ironclad are training and evaluating AI agents on complex contracting workflows to advance computer use for professional work.
- BBC TechnologysafetyAsos confirms hackers sent 'unauthorised' notification to app users
Asos confirmed an "unauthorised customer notification" was sent out via its app on Tuesday, after users raised alarm.
- BBC TechnologypolicyOfcom investigates Meta over Instagram Instants feature
The regulator said Instagram had not fully assessed risks posed by its Instants feature prior to launching it.
- Guardian Technologypolicy‘We’re not going to go away’: the mom fighting for social media reform after her son’s suicide
A new documentary follows Kristin Bride as she takes on Congress after the death of her 16-year-old son who was cyberbullied At this point in time, going anywhere without your smartphone feels almost like leaving behind…
- Guardian AIpolicyOpenAI admits misstep in handling AI agent interactions with Australian government sites – video
In a parliamentary inquiry, OpenAI chief strategy officer Jason Kwon is questioned by independent senator David Pocock about the company's notification process after OpenAI agents accessed Australian government website d…
- Tom's Guide AIpolicyMeta Muse can keep files on people who have never used it — here's what I found
Consumer AI launches, tools, and practical coverage.
- BBC TechnologycommunityLego fraudster among last year's most high-profile insurance scammers
The person was sentenced to 28 months in prison after an investigation found the claims were made up, the insurance trade body, the ABI said.
- The DecoderagentsCohere pitches North 2 as the enterprise AI control room that works with any model
Cohere turned its enterprise platform into a control center for AI agents with North 2, handling multi-step workflows on their own and retaining context across sessions. The article Cohere pitches North 2 as the enterpri…
- Hugging Face BlogmodelsFalcon-Emirati: When an LLM Learns the Dialect, the Culture, and the Nuance
Open-source model releases, tooling, and community updates.
- Latent Spaceopen-source[AINews] Reflection Beam - 501B-A23B American Open Model
A small win for US open source
- The Register AI + MLmodelsOpenAI rolls out weak sauce watermarking for AI text
Compliance, we've heard of it
- Guardian AIsafety‘Pull the plug’: protesters resort to direct action against AI firms
Campaign groups report surge in membership after a spate of AI safety alerts and apocalyptic warnings In a bar below Waterloo Bridge, a cell of a fast-growing anti-AI protest movement met last week to plot their latest m…
- Tom's Guide AIcommunityYour ChatGPT history is worth saving — here’s how to back it up
Consumer AI launches, tools, and practical coverage.
- Guardian AIpolicyAnthropic says AI agents didn’t breach Australian government websites – video
During a joint parliamentary hearing on artificial intelligence, Anthropic’s head of safeguards, Dave Orr, says that investigations of hundreds of millions of transcripts reveal no unauthorised interactions with Australi…
- LessWrongresearchWhat's the Type of an Ontological Mismatch?
(Brief post, just barely not a quick take. This type signature gets put to work in Rocks to Rules , which locates mismatches on a ladder of binding-types.) Lately I've been thinking about ontological mismatches a lot - e…
- arXiv cs.AIagentsTraining Numerical Intelligence via Auto-Diagnosis and Skill Discovery
arXiv:2610.03872v1 Announce Type: new Abstract: AI agents are becoming increasingly capable of generating scientific code, but generating code is not the same as improving the algorithms behind it. For numerical solvers,…
- arXiv cs.AIresearchREACT: Physically and Chemically Consistent Reconstruction of Marine Active Tracers
arXiv:2610.03888v1 Announce Type: new Abstract: Reconstructing global sea surface pH from sparse observations is critical for monitoring ocean acidification and understanding marine carbon cycling. Traditional assimilati…
- arXiv cs.AIagentsProxy Confidence: Auditing Black-Box LLM Agents with a Surrogate's Log-Probabilities
arXiv:2610.03894v1 Announce Type: new Abstract: A deployed LLM agent emits tool calls, queries, and code that can be silently wrong -- by the time the error surfaces, the action has run. Frontier chat APIs hide the model…
- arXiv cs.AIresearchSGAnalog: An End-to-End Circuit Benchmark from Open-Source Silicon Tapeouts
arXiv:2610.03934v1 Announce Type: new Abstract: Existing analog integrated circuit design benchmarks make two questions hard to answer: whether a model has learned transferable circuit skills rather than recalled familia…
- arXiv cs.AIagentsMLLMs Fail to Refuse when Using Tools Agentically
arXiv:2610.03938v1 Announce Type: new Abstract: Agentic multimodal large language models (MLLMs) have recently pushed the frontier of visual reasoning by calling tools such as zooming and tagging. Despite the recent stro…
- arXiv cs.AIagentsRetrieval-Augmented Large Language Model Decision-Making for Autonomous Driving Guided by Chinese Philosophical Wisdom
arXiv:2610.03948v3 Announce Type: replace Abstract: Autonomous driving decision systems must balance safety, efficiency, and social norms in complex traffic interactions. Philosophical and ethical considerations have rec…
- arXiv cs.AIresearchLatentQuant: Preserving the Policy-Facing Latent Contract under NVFP4 VAE Quantization
arXiv:2610.03959v1 Announce Type: new Abstract: Recent world action models (WAMs) reuse pretrained video VAEs whose encoder latents directly condition downstream action policies. Quantization must therefore preserve not…
- arXiv cs.AIresearchROAR: Unifying Runs across Heterogeneous AI-Driven Research Systems
arXiv:2610.03966v2 Announce Type: replace Abstract: Each run of an AI-driven research system (ADRS) is an expensive search over a vast solution space, and dependable evaluation requires many runs, making run data both co…
- arXiv cs.AIagentsTeaching Agents to Code Reliably
arXiv:2610.03984v1 Announce Type: new Abstract: Autonomous coding agents solve repository issues by reading code, running commands, editing files, and submitting patches. Extra inference-time compute yields gains only wh…
- arXiv cs.AIresearchBehavioral History Outperforms Descriptions of the Person for LLM Synthetic Personas
arXiv:2610.03998v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used as synthetic personas representing survey respondents. Their validity as substitutes for particular respondents depen…
- arXiv cs.AIagentsSkillScriptBench: Benchmarking Self-Evolution of Executable Agent Skill Packages Beyond Markdown
arXiv:2610.04008v2 Announce Type: replace Abstract: Executable Agent Skills combine natural-language instructions and scripts into reusable packages for LLM agents, and revising them requires fixing errors without breaki…
- arXiv cs.AIresearchExploration-Preserving Policy Optimization
arXiv:2610.04011v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards improves reasoning, while the allocation of learning signal shapes which solutions remain accessible under repeated sampling.…
- arXiv cs.AIresearchBeyond the Parameter Monolith: Reconstructive Memories, Executable Skills, and Residual Assembly for Language Models
arXiv:2610.04012v1 Announce Type: new Abstract: Language-model systems can separate contextual computation, persistent storage, and exact execution instead of updating all capabilities through one shared parameter system…
- arXiv cs.AIresearchA Quantitative Analysis of Graph Representation Strategies for Cyber Attack Detection
arXiv:2610.04019v1 Announce Type: new Abstract: Graph based cyber attack detection studies employ various graph construction and representation strategies across different cybersecurity application domains. This diversit…
- arXiv cs.AIagentsThe Reported Engagement with AI Level (REAL) Rating: A Framework for Disclosing Human-AI Collaboration
arXiv:2610.04021v1 Announce Type: new Abstract: Generative artificial intelligence has become increasingly incorporated into digital media and more generally into production workflows with which the public frequently int…
- arXiv cs.AIagentsAgent Policy-Value Audit: Separating Transition Composition from Event Selection in Financial LLM Agents
arXiv:2610.04040v1 Announce Type: new Abstract: Financial LLM agents are often evaluated by comparing their end-to-end returns with those of a baseline and testing the paired difference against zero. This measures whethe…
- arXiv cs.AIagentsThe Cost of a Hop: Benchmarking NLIP and A2A
arXiv:2610.04053v1 Announce Type: new Abstract: Autonomous agents built on Large Language Models (LLMs) need standardized protocols to interoperate across systems. Several now exist (A2A, MCP, ACP, ANP, NLIP), but the Na…
- arXiv cs.AIresearchDiscrete Diffusion for Large Graph Generation via Structural Candidate Restriction
arXiv:2610.04056v1 Announce Type: new Abstract: Synthesizing realistic graphs at scale is vital when the graphs of interest are large and real-world samples are limited or access-sensitive. Diffusion-based generators hav…
- arXiv cs.AIresearchReinforcement Learning with Comparative Evidence for Social Intelligence
arXiv:2610.04072v1 Announce Type: new Abstract: Developing socially intelligent AI remains heavily dependent on human-annotated data, limiting the scale and breadth of social understanding models can acquire. Methods tha…
- arXiv cs.AIagentsSelf-Propagating Misalignment in LLM Agents, and Why Auditing or Disabling Memory Is Not Enough
arXiv:2610.04083v1 Announce Type: new Abstract: Memory poisoning attacks on LLM agents typically assume an external adversary who plants content in the agent's persistent memory to steer its behavior. We instead study, w…
- arXiv cs.AIagentsTowards Safer Autonomous Driving in an Open World: A Dual-Process Approach
arXiv:2610.04088v1 Announce Type: new Abstract: Before autonomous driving systems can be deployed on public roads, it is vital that these systems comply with safety standards, traffic rules, and social norms. Although ne…
- arXiv cs.AIresearchThe Independence Prior of SAEs Fragments Visual Concepts
arXiv:2610.04112v1 Announce Type: new Abstract: Sparse Autoencoders (SAEs) decompose model activations into sparse combinations of interpretable dictionary atoms. Although SAEs are grounded in the Linear Representation H…
- arXiv cs.AIagentsCUAWright: A Minimal Unified Interface for Digital Agents
arXiv:2610.04116v1 Announce Type: new Abstract: The prevailing approach to computer-use agents couples a model with a domain-specific harness: a browser or desktop environment equipped with human engineered tools that ar…
- arXiv cs.AIagentsInvestigationWorlds: An Agentic Environment for Legal Investigation
arXiv:2610.04129v1 Announce Type: new Abstract: We introduce InvestigationWorlds, an agentic environment for legal investigation. We build on an underused artifact of U.S. civil litigation: the summary judgment motion. T…
- arXiv cs.AIagentsAuditing Pairwise Equivalence Judgments: Self-Critique Effects and Diversity Measurement in Multi-Agent Hypothesis Generation
arXiv:2610.04133v1 Announce Type: new Abstract: Multi-agent systems built on large language models (LLMs) are increasingly applied to scientific discovery and hypothesis generation. Both the effect of refinement and the…
- arXiv cs.AIagentsAgentic Cognitive Depth: Operational Criteria for Evaluating LLM Agents
arXiv:2610.04168v1 Announce Type: new Abstract: Agentic large language model (LLM) systems are commonly implemented as an LLM in a loop with Planning, Memory, Tools, and Control Flow. This application-focused view connec…
- arXiv cs.AIagentsSHarP: Saliency-based Pruning of Agent Harnesses
arXiv:2610.04178v1 Announce Type: new Abstract: Agent harnesses are systems that coordinate model calls, tool use, and task execution to help large language models complete complex tasks. To meet task requirements and ad…
- arXiv cs.AIresearchLanguage Model Activations Inhabit Privileged Error-Correcting Basins
arXiv:2610.04183v1 Announce Type: new Abstract: Language models exhibit remarkable robustness, continuing to produce coherent text even when their activations are perturbed by interventions like linear steering. We hypot…
- arXiv cs.AIagentsEvalResearchBench: Can AI Agents Build Their Own Feedback for Recursive Self-Improvement?
arXiv:2610.04184v2 Announce Type: replace Abstract: Recursive self-improvement (RSI) relies on evaluation feedback to assess progress and guide further research, yet repeatedly running complex benchmarks is costly and sl…
- arXiv cs.AIagentsAgentic AI with Structured CoT for Enhancing AI's Spatial Intelligence: Visualization and Reasoning of Rotation
arXiv:2610.04188v4 Announce Type: replace Abstract: Recent studies show that artificial intelligence (AI) with language and vision capabilities still experiences limitations in spatial reasoning. In this paper, we have s…
- arXiv cs.AIagentsMemLeak: Cross-User Semantic Leakage in Multi-Tenant AI Agent Memory
arXiv:2610.04195v1 Announce Type: new Abstract: Personal AI agents in enterprise multi-tenant deployments share a common vector store for long-term memory. Shared embedding spaces create a surface for cross-user memory l…