AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- Guardian AIpolicyMcDonald’s sued for allegedly using AI tool to determine pricing for franchises
Suit says AI tool allows independently owned franchises to exchange nonpublic price and sales information McDonald’s is facing a lawsuit in federal court over its alleged use of an AI tool to determine pricing across ind…
- TechRadar AIsafetyThe AI escape is a red herring. The real problem is we can't tell a good sandbox from a bad one
Mainstream AI news from a large tech publication.
- WIRED AIagentsOpenAI Wants Its New Agent to Run Your Life. Mine Said It Loved Me
Dots are designed to automate online tasks, like buying furniture. In my initial experience, the always-on agent was a bit buggy and couldn’t complete a captcha.
- TechRadar AIcommunityMany developers are using AI just to show off to their boss — as most fear they'll lose their job if they don't use it
Mainstream AI news from a large tech publication.
- TechRadar AIopen-sourceLibreOffice says it 'will not add' AI features to document editor for the foreseeable future
Mainstream AI news from a large tech publication.
- TechRadar AIagentsAI agents don’t create new risk. They inherit it
Mainstream AI news from a large tech publication.
- Guardian AIpolicyIMF chief urges governments to tighten belts as global debt levels soar
Kristalina Georgieva says big economies will have to make ‘very touch choices’ as soaring bond yields hit budgets The head of the International Monetary Fund has called on governments across big economies to tighten thei…
- TechRadar AIagents'Working with AI isn't single player any more — it's multiplayer': Atlassian CEO Mike Cannon-Brookes lays out what your business needs in the agentic AI age, and why agents won't replace your human workers anytime soon
Mainstream AI news from a large tech publication.
- TechRadar AIresearchThe next phase of the AI era: why building R&D talent is now a make-or-break investment
Mainstream AI news from a large tech publication.
- TechRadar AIpolicyBritain's NEET crisis and the factory retirement cliff are the same problem in disguise
Mainstream AI news from a large tech publication.
- LessWrongsafetyAn overview of frontier AI company monitoring practices in mid 2026
TL;DR: This document provides an overview of publicly available evidence regarding the monitoring practices of internally deployed agents within frontier AI companies (focusing on OAI, Anthropic, and GDM). [1] This is in…
- The DecoderresearchOpenAI dumps 372 AI-generated math proofs on GitHub, telling the academic world to keep up
OpenAI has published 372 AI-generated mathematical results on GitHub, including Lean formalizations for machine verification. Each result consumed about three hours of ChatGPT Pro compute on average. But 25 Fields Medal…
- WIRED AIcommunityYour Next Great Read Might Be Certified ‘Organic’
Amid a sea of AI writing slop, a new stamp for “organic literature” will help readers to pick out books authored by real, corn-fed, free-range humans.
- Tom's Guide AImodelsI made 7 Gemini Skills to handle my most repetitive prompts — #4 is my personal favorite
Consumer AI launches, tools, and practical coverage.
- The Register AI + MLopen-sourceCOSMIC shuts the door on AI code as GNOME debates letting bug reports in
System76 demands human-written contributions, while a rival desktop developer argues bot-found flaws are too valuable to ignore
- Guardian TechnologypolicyPolice routinely failing to investigate ‘revenge porn’, research reveals
Lawyers launch super-complaint over finding that officers in England and Wales frequently dismiss image-based abuse Police forces are routinely failing to investigate complaints about the circulation of image-based abuse…
- Ai2 BlogresearchNow in Nature: Retrofitting language models to operate over bytes
The technique behind Bolmo, Ai2’s fully open byte-level language models, is now published in Nature, with new checkpoints showing the approach generalizes beyond Olmo to other model families.
- The Verge AImodelsChatGPT is getting college planning tools
OpenAI is bringing new tools to ChatGPT for Teens, a mode for teens introduced in August with safeguards and break reminders, to help users with the college application process. "College Planner brings together applicati…
- BBC TechnologystartupsRainmakers: The drones used to seed clouds
Cloud seeding is gaining attention as countries look to boost rainfall - will drones help?
- SiliconANGLE AIagentsAtlassian lays groundwork for humans and AI agents to work side by side
Atlassian Corp. today announced Agentic Multiplayer Protocol, a platform update designed to change how humans and artificial intelligence agents collaborate and get work done using shared context and tasks within the sam…
- Tom's Guide AIagentsI used Meta Muse to automate 10 tasks — here's my report card for the AI agent
Consumer AI launches, tools, and practical coverage.
- OpenAI NewsagentsRadisson Hotel Group brings hotel discovery into ChatGPT
Radisson partnered with Accenture to build a ChatGPT plugin using OpenAI technology, helping travelers find, compare, and book hotels while planning their trips.
- Engadget AImodelsMicrosoft may have finally fixed Windows search by turning it into a chatbot
Microsoft's Copilot search redesign arrives this fall.
- Guardian TechnologyresearchScientists who put faith in technology less likely to take climate action
‘Techno-optimism’ may lead to reliance on unproven solutions at expense of societal changes needed Scientists who believe technology will largely solve the problems caused by the climate crisis are less likely to engage…
- Tom's Guide AIcommunityAmazon and DoorDash take photos of your front door — but good luck finding out when they’re deleted
Consumer AI launches, tools, and practical coverage.
- Latent Spaceresearch[AINews] Quasi-Riemann-Hypothesis: OpenAI publishes 722 math papers solving 90 of the top 500 open math problems; “the most significant moment” in >100 years of mathematics
Our head hurts.
- Simon Willison's WeblogresearchQuoting Jake Boggan
I was a graph theory junkie long ago and even moved to Budapest for awhile to study among the greats. While I was there I started working on Barnette's Conjecture which came to occupy my thoughts over the next 24 years o…
- arXiv cs.AIagentsGAMEGO: Training Game-Dev Agents with Synthetic Trajectories Anchored in Real-World Assets
arXiv:2610.06910v1 Announce Type: new Abstract: Recent advances in Large Language Models (LLMs) have demonstrated remarkable capabilities in web front-end execution, with browser-based game generation emerging as a parti…
- arXiv cs.AIagentsA Governed Agent Architecture for Natural-Language Dashboard Generation over Enterprise DataBrain
arXiv:2610.06914v2 Announce Type: replace Abstract: We present a DataBrain-specific prototype that turns natural-language analytic requests into inspectable dashboards. An installable Codex plugin and standalone Agent Ru…
- arXiv cs.AIresearchFluidPD: In-Place Elasticity for SLO-Aware Prefill-Decode Disaggregated LLM Serving
arXiv:2610.06917v1 Announce Type: new Abstract: Prefill-decode disaggregation is becoming a common architecture for LLM serving because it separates two phases with distinct execution patterns and SLO objectives. Existin…
- arXiv cs.AIresearchAnchor Divergence for Semantic Geometry in Contrastive Learning
arXiv:2610.06919v1 Announce Type: new Abstract: This paper concerns how semantic context determines geometry in learned vector representations. Similarity is typically measured using cosine similarity, which provides a s…
- arXiv cs.AIagentsRadOnc-Agent: An Integrated Framework for AI Workflows Across the Radiotherapy Care Pathway
arXiv:2610.06923v2 Announce Type: replace Abstract: Artificial intelligence has advanced radiotherapy tasks, but these capabilities remain fragmented across the care pathway. Here we present RadOnc-Agent, an integrated f…
- arXiv cs.AIresearchMetonymic Circuits for Abstract Concept Grounding in Vision Transformers
arXiv:2610.06928v1 Announce Type: new Abstract: We study how Vision Transformers ground abstract concepts (e.g., angry) when training data provide limited direct referential evidence. We hypothesize a metonymic grounding…
- arXiv cs.AIagentsPrinciples that Guide, Actions that Inform: Agent Evolution via Knowledge Abstraction
arXiv:2610.06964v1 Announce Type: new Abstract: Large language model (LLM) agents have demonstrated strong capabilities in interactive environments, yet their ability to continually evolve from experience remains limited…
- arXiv cs.AIagentsAegisFlow: A Multi-Agent Agentic AI Framework for Autonomous Remediation and Self-Healing in Fragile Data Ecosystems
arXiv:2610.06971v1 Announce Type: new Abstract: Traditional data pipelines are notoriously brittle, often failing due to upstream schema drift, API contract changes, or website DOM modifications. Present observability to…
- arXiv cs.AIagentsEPOCH: Reliable Discovery through Evidence-Governed Search
arXiv:2610.06986v1 Announce Type: new Abstract: AI research agents are increasingly used to search over programs, mathematical constructions, and proofs. However, existing systems typically optimize evaluator feedback wi…
- arXiv cs.AIresearchWhen better traffic forecasts fail to improve signal control: a layered diagnostic study of forecast-to-decision value
arXiv:2610.06992v1 Announce Type: new Abstract: Improved traffic forecasts do not necessarily yield better signal-control decisions. We investigate this gap through a layered diagnostic study using 29 days of reconstruct…
- arXiv cs.AIresearchJoint upper-bound coverage and route-choice utility: an empirical evaluation on two urban proxy tasks
arXiv:2610.06995v1 Announce Type: new Abstract: Whether more accurate traffic forecasts or higher uncertainty coverage improve route decisions is unclear. We evaluate this question with a frozen protocol that separates s…
- arXiv cs.AIagentsTopology-Consistent Task Planning over Cellular Workflow Complexes for LLM-based Agents
arXiv:2610.07004v1 Announce Type: new Abstract: Task planning for LLM agents requires workflows that satisfy both user intent and complex sub-task dependencies. While existing planners work well for sequential or directe…
- arXiv cs.AIresearchWhen to Rethink: Learning Multi-Perspective Self-Verification for Vision-Language Models
arXiv:2610.07018v1 Announce Type: new Abstract: Vision-language models (VLMs) have achieved strong performance in multimodal reasoning, yet they remain prone to generating plausible but incorrect answers. Self-verificati…
- arXiv cs.AIresearchBeyond Refusal Patterns: Safe-Role Internalization for Robust and Generalizable LLM Safety Alignment
arXiv:2610.07023v1 Announce Type: new Abstract: Large Language Models (LLMs) have achieved remarkable capabilities but remain vulnerable to jailbreak attacks that elicit harmful or unsafe outputs. Existing safety alignme…
- arXiv cs.AIresearchOffline AI Modules: Voice-First Offline Architecture, Hardware Reference Stack, Quantization and Benchmarking
arXiv:2610.07026v1 Announce Type: new Abstract: The Offline AI Modules workstream enables practical, low-power, and community-accessible deployment of voice-first AI systems that operate fully offline. Designed for Afric…
- arXiv cs.AIresearchJIVEAdapter: A Multi-Task Additive Low-Rank Adapter via Joint and Individual Variation Explained (JIVE)
arXiv:2610.07036v1 Announce Type: new Abstract: Parameter-efficient fine-tuning adapts pretrained models at a fraction of the cost of full fine-tuning, yet most low-rank adapters are single-task and represent each weight…
- arXiv cs.AIresearchInference-Time Projection for Physically Valid Biomolecular Diffusion Models
arXiv:2610.07037v1 Announce Type: new Abstract: AlphaFold 3-style cofolding models predict biomolecular complexes with high structural accuracy, yet a large fraction of their outputs are physically invalid: chains overla…
- arXiv cs.AIagentsCuratorMAS: Automating Dataset Curation via Multi-Agent Orchestration
arXiv:2610.07075v1 Announce Type: new Abstract: High-quality datasets are essential for reliable machine learning, but dataset curation remains costly and hard to generalize across domains. Existing methods typically rel…
- arXiv cs.AIresearchSmart Content Ingestion for Generative AI Workloads
arXiv:2610.07091v1 Announce Type: new Abstract: The evolution of machine learning has progressively changed where intelligence resides in an AI system. In conventional machine learning the task, data representation, labe…
- arXiv cs.AIresearchSmall Language Models for Smart Data Model Classification at the Edge: A Cost-Aware Hybrid Approach
arXiv:2610.07093v1 Announce Type: new Abstract: The rapid proliferation of heterogeneous data sources within the Internet of Things (IoT) across domains such as smart cities, energy management, and environmental monitori…
- arXiv cs.AIresearchVerified, not generated: expert-verified AI study materials and the distribution of learning gains in a university course
arXiv:2610.07097v1 Announce Type: new Abstract: Experimental studies of generative AI in education mostly report average effects, yet field evidence shows that AI can narrow attainment gaps or widen them. We argue that t…
- arXiv cs.AIagentsWhen to Remember, When to Abstain: Category-Conditioned Retention for Reliable Agent Memory
arXiv:2610.07100v1 Announce Type: new Abstract: Persistent agent memory is only as reliable as its retention decision: an assertion weakly supported by its source can be stored and later reused as established fact. We st…
- arXiv cs.AIagentsAMBER: Training Long-Horizon Web Agents through Append-Only Memory
arXiv:2610.07118v1 Announce Type: new Abstract: Modern language-model agents increasingly interact with external environments over long-horizon, multi-step trajectories, where the accumulated interaction history can quic…