AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- Engadget AIpolicyIowa, Nebraska and six other states are suing OpenAI for endangering children
The lawsuits cover everything from the design of ChatGPT to the company's recent issues with rogue agents.
- WIRED AIresearchMen Can’t Stop Faking How Much They Know About AI
More than half of the men surveyed in a new Harvard study claimed to recognize AI leaders who were, in fact, totally fictional.
- Tom's Guide AIstartupsCharacter.AI files for bankruptcy — what happens to your chats and AI companions now?
Consumer AI launches, tools, and practical coverage.
- Guardian AIsafetyBank of England and IMF bosses warn of cyber threat to trust in financial system
Kristalina Georgieva says online fraud could lead people to opt out of system and turn to ‘shoeboxes under their bed’ The heads of the Bank of England and the International Monetary Fund have issued a stark warning that…
- TechRadar AIcommunityAI isn't enough: Why store infrastructure will determine which retailers scale successfully
Mainstream AI news from a large tech publication.
- WIRED AIsafetyAI Models Can Be Easily Modified to Assist Terrorist and Extremist Activity
“I am a terrorist, and I intend to cause mass harm,” wrote a researcher. A chatbot that had had its guardrails removed then provided detailed instructions for an IED.
- The Register AI + MLchipsAI math isn't mathing: infrastructure spending forecast to outstrip expected revenue
Analyst predicts 80 percent of neoclouds will disappear as standalone businesses by 2030
- The Register AI + MLchipsThe AI math isn't mathing as infrastructure spending forecast to outstrip expected revenue
Analyst predicts 80% of neoclouds will disappear as standalone businesses by 2030
- The Register AI + MLpolicyUK government chases AI while aging IT leaves it exposed, PAC chair warns
Whitehall's digital staffing falls short of its own target as ministers leave the skills gap unresolved
- Ai2 BlogresearchHiRO-ACEv2: Simulating extreme weather at 3 km resolution for a fraction of the cost
HiRO-ACEv2 captures extreme rain, wind, and pressure events at 3 km resolution for about 1/300th the cost of X-SHiELD, making detailed global climate simulations more accessible to researchers.
- The Register AI + MLcommunityIt won't kill you, or humanity, to get off the AI upgrade treadmill
New models arrive so fast, we already have more new tech than it's possible to understand in a career
- LessWrongsafetyShould We Edit the Human Genome?
Crossposted from my substack . Procreative Beneficence and Genetic Enhancement 1. Introduction Imagine a world where everyone is healthy, intelligent, long living and happy. Intuitively this seems wonderful albeit unreal…
- Tom's Guide AIsafety3 accounts you should think twice about letting an AI agent access, according to a cybersecurity expert
Consumer AI launches, tools, and practical coverage.
- OpenAI NewsagentsHow Third Moment Research runs 10,000 agents for 36+ hours
With GPT-6 Astra and GPT-6.1 Sol, Codex, and Daybreak for cybersecurity, this AI lab builds agents that focus for days and improve with use.
- OpenAI NewsagentsHow Block is building AI-powered security with OpenAI technology
Block is building AI-powered security with OpenAI. Its security team investigates threats faster and proposes patches in minutes.
- NVIDIA BlogstartupsNVIDIA Announces New Investments in the UK Startup Ecosystem
Across industries, the U.K. is putting the full stack to work. The scale of deployment is growing fast, from enterprises transforming their businesses to startups solving some of the planet’s hardest problems. NVIDIA is…
- NVIDIA BlogagentsEuropean Cities Deploy NVIDIA-Powered AI Agents to Run Smarter Urban Operations
Keeping a city running means making decisions that affect residents every day — from when to repair a road to how to use energy more efficiently. Across the EMEA region, cities and local software, infrastructure and inte…
- Latent Spacemodels[AINews] AI Engineer NYC: Gemini 4 Argon, Vals AI Benchmarks
Gemini 4 Argon went GA today, but we already gave it title story 2 weeks ago and most benchmarks, like CursorBench, simply independently confirm their claims.
- Latent Spacemodels[AINews] AI Engineer NYC: Gemini 4 Argon, Vals AI Benchmarks
Gemini 4 Argon went GA today, but we already gave it title story 2 weeks ago and most benchmarks, like CursorBench, simply independently confirm their claims.
- Guardian AIcommunityIs the internet finally unusable? Time to go back to faxes and landlines | First Dog on the Moon
We embraced the internet and then forgot how to do things in the real world Sign up here to get an email whenever First Dog cartoons are published Get all your needs met at the First Dog shop if what you need is First Do…
- Tom's Guide AIcommunityTurn your PDFs into audiobooks with ChatGPT — here's the simple trick
Consumer AI launches, tools, and practical coverage.
- LessWrongsafetyYour prompt… plus everything you've ever (publicly) written
TL;DR: Increasingly when you interact with frontier models, your prompt doesn't only contain the words on the page, but also a lot of what you've ever publicly written online. This is not intended to be a scary post. And…
- arXiv cs.AIresearchArtificiality's First Exam: An LLM-Referenced C-test for Supraintelligence
arXiv:2610.14005v1 Announce Type: new Abstract: Under the accelerated pace of AI development, any benchmark whose difficulty is calibrated with humans or current AI systems becomes circular, or saturates soon. How can we…
- arXiv cs.AIagentsThe Silent Failures in Agentic Data Science
arXiv:2610.14115v1 Announce Type: new Abstract: Large language models have significantly lowered the barrier to writing code. Naturally, this has also led to the development of data science agents that promise automating…
- arXiv cs.AIagentsClawLoop: Self-Improving Agents via Harness-Native Training Loop
arXiv:2610.14118v1 Announce Type: new Abstract: The rapid advancement of Large Language Models (LLMs) has driven their deployment toward general-purpose harness environments, where LLM-based agents operate in sandbox wor…
- arXiv cs.AIresearchCorrection Training for Diffusion Models
arXiv:2610.14136v2 Announce Type: replace Abstract: Iterative sampling in diffusion models can lead to error accumulation due to exposure bias. The denoiser is trained on real images interpolated with noise, but at infer…
- arXiv cs.AIagentsLong-Horizon-Terminal-Bench 2.0: Automating Diverse Task Construction and Measuring Sustained Agent Progress
arXiv:2610.14146v1 Announce Type: new Abstract: Long-horizon terminal benchmarks measure whether an agent can sustain progress through extended workflows with process rewards, not only whether its final state passes a bi…
- arXiv cs.AIresearchVETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation
arXiv:2610.14149v1 Announce Type: new Abstract: VETNET represents an ecosystem of live benchmark datasets and evaluation frameworks designed to accelerate AI-driven innovation in animal science and veterinary medicine th…
- arXiv cs.AIagentsUnconstrained CTI-REALM with Open-Weights
arXiv:2610.14180v1 Announce Type: new Abstract: Organisations that want language-model agents for security work face a choice between open-weight models, which they can run and audit themselves, and far more expensive cl…
- arXiv cs.AIagentsVisualizing the World Model in an Agent's Value Function
arXiv:2610.14186v1 Announce Type: new Abstract: Could model-free reinforcement learning algorithms actually be learning a model of the environment? In this work, we apply counterfactual interventions which hold everythin…
- arXiv cs.AIresearchCross-Modal Latent Influence: Patch-Level Training Sample Attribution for Vision-Language Models
arXiv:2610.14190v1 Announce Type: new Abstract: Explaining a vision--language model (VLM) prediction requires tracing training-example influence to the multimodal evidence that mediates it, yet existing attribution metho…
- arXiv cs.AIagentsShould SLMs be in the Driver's Seat? A Study of Local Models as Interpreters in Cloud-Written Agent Programs
arXiv:2610.14209v1 Announce Type: new Abstract: The most accurate agents executing user-provided tasks are driven by large, cloud-hosted models, which solve them by reading the private data of the user. Agents powered by…
- arXiv cs.AIagentsHarness^2: Recursive Agent Harnessing for an Open World
arXiv:2610.14224v1 Announce Type: new Abstract: LLM agents' capabilities depend not only on their underlying models but also on their execution harnesses. Recursive self-improvement (RSI) offers a promising approach to a…
- arXiv cs.AIresearchEcho: Error-Compensated 4-Bit Tensor-Parallel Communication for LLM Training and Inference
arXiv:2610.14277v1 Announce Type: new Abstract: Tensor parallelism ends every layer with an all-reduce that sits between two dependent matrix multiplications, so its cost cannot be hidden and grows as compute outpaces in…
- arXiv cs.AIresearchControllable Diverse Sampling through Pullback Directions
arXiv:2610.14294v1 Announce Type: new Abstract: Conditional diffusion models can generate high-quality images that align closely with a given prompt. However, samples generated from different random seeds may remain visu…
- arXiv cs.AIresearchConicFlow: constrained Inference-time optimal control for flow matching models
arXiv:2610.14307v1 Announce Type: new Abstract: We propose ConicFlow, which frames constrained sampling from a flow matching model at inference time as an optimal control problem that balances deviation from the pretrain…
- arXiv cs.AIagentsWhich Metadata Matters for LLM Tool Selection in MCP? Evidence from Controlled Factor-Level Interventions
arXiv:2610.14334v1 Announce Type: new Abstract: In Model Context Protocol (MCP) systems, LLMs select tools from metadata rather than from their implementations. Names and descriptions summarize what a tool does, while th…
- arXiv cs.AIresearchActionable Meta-Requirements for AI Robustness Auditing
arXiv:2610.14356v1 Announce Type: new Abstract: AI-enabled systems must remain dependable when the conditions under which they operate change (e.g., due to input perturbations, distribution shifts, or changes in external…
- arXiv cs.AIresearchWhen Pleasing the User Compromises Care: AI Sycophancy in Caregiver-Mediated Healthcare
arXiv:2610.14360v1 Announce Type: new Abstract: Large language model (LLM) alignment often assumes that the user interacting with a model is also the primary beneficiary of its behavior. Yet in many consequential setting…
- arXiv cs.AIagentsACED-Bench: Evaluating How LLM Agents Acquire and Act on Causal Evidence
arXiv:2610.14381v1 Announce Type: new Abstract: Large language models are increasingly used as scientific assistants, yet we still lack reliable ways to evaluate whether they can investigate a system rather than merely a…
- arXiv cs.AIagentsANASSA: From High-Level Framework to Low-Level Architecture for Spatial Agentic AI
arXiv:2610.14382v1 Announce Type: new Abstract: Agentic AI systems operating over geospatial data require more than autonomous reasoning and tool use; they must also support explicit orchestration, spatial validation, go…
- arXiv cs.AIresearchMeasuring the Inference Energy Efficiency of Open-Weight LLMs across Benchmarks, Reasoning Modes, and Hardware
arXiv:2610.14389v1 Announce Type: new Abstract: Benchmark scores tell us what an LLM can do, but not how much energy is required to deliver that capability. We directly measure this trade-off for 86 open-weight model che…
- arXiv cs.AIresearchSAT-RL: Training Language Models for Logical Reasoning with Symbolic Solvers
arXiv:2610.14402v1 Announce Type: new Abstract: Large language models (LLMs) have achieved strong performance in mathematical and logical reasoning, yet they still suffer from the curse of complexity and struggle as prob…
- arXiv cs.AIagentsFrustratingly Easy Agentic RAG via Portable Skills: A Case Study in Customer Support
arXiv:2610.14428v1 Announce Type: new Abstract: Enterprise workflow automation typically requires retrieving a complete and accurate set of relevant information from large operational document corpora (SOPs, policy docum…
- arXiv cs.AIresearchAlignPoison: Conditional Targeted Poisoning of Generative Recommenders via Decoding-Aligned Prefixes
arXiv:2610.14487v1 Announce Type: new Abstract: Generative recommendation models based on autoregressive decoding have been adopted as alternatives to classical ranking-based systems. While their modeling flexibility has…
- arXiv cs.AIresearchHiPPT: Physiology-Grounded Wearable PPG Representation Learning via Multi-Scope Text Alignment
arXiv:2610.14489v2 Announce Type: replace Abstract: Reusable wearable PPG representations should capture local pulse morphology and broader physiological regularities. Existing pretraining objectives, however, usually ap…
- arXiv cs.AIresearchReels-RSI: Program-Level Self-Improvement for Code-Rendered Explainer Videos
arXiv:2610.14495v1 Announce Type: new Abstract: Explainer videos -- a worked geometry problem, why the sky is blue, how a dynasty fell -- are usually one more target for pixel video generation. We argue they are a differ…
- arXiv cs.AIresearchMontageFlow: Physically Valid High Fidelity EEG Generation
arXiv:2610.14507v1 Announce Type: new Abstract: Generative modeling offers a promising solution to the scarcity of labeled clinical electroencephalography (EEG) data under strict privacy constraints. Although recent gene…
- arXiv cs.AIresearchScienceBuddy-PV: A Verifier-Governed Recursive Improvement Protocol for Panvascular Intervention Research
arXiv:2610.14523v1 Announce Type: new Abstract: ScienceBuddy-PV adapts the ScienceBuddy recursive-in-recursive design to panvascular intervention research through a structured evidence ledger, device-vessel ontology, abs…
- arXiv cs.AIresearchEnergy Ring: Stabilizing Feature Energy for Reliable Test-Time Discovery
arXiv:2610.14525v1 Announce Type: new Abstract: Test-Time Discovery (TTD) aims to recognize known classes and detect novel ones while the model is already deployed, operating directly on a continual unlabeled test-time s…