AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- TechCrunch AIstartupsVeritas expands its anti-counterfeit chip to jewelry, trophies, and fragrance bottles
Counterfeiters are getting better at replicating brands' marks and passing off dupes, known as "superfakes," as genuine items. A startup called Veritas wants to tackle the problem with its own chip that verifies goods.
- The DecodersafetyIs AI interpretability close to a breakthrough? A new essay has researchers divided
Neural networks may be much easier to read than researchers assumed, with about 90 percent of neurons serving a clear function. That would be big news for AI safety research, since deception or dangerous behavior could b…
- The DecodercommunityOpenAI's new Rosalind Academic Plan gives research labs up to 30 free seats for a year
OpenAI is launching the Rosalind Academic Plan, a free offering that's currently open only to research labs at US universities without an enterprise contract. The article OpenAI's new Rosalind Academic Plan gives researc…
- The DecodersafetyAnthropic gives METR inside access to audit its AI models and safety practices
Anthropic has given a team from the nonprofit METR inside access to review its AI models and safety practices, the company announced. The article Anthropic gives METR inside access to audit its AI models and safety pract…
- LessWrongsafetyProjection sampling preserves capabilities but diminishes gains from alignment fine-tuning
TLDR Fine-tuning models on alignment reasoning from stronger models can improve safety, but at a substantial cost to general capabilities. Previous work has shown that replay, mixing the alignment traces with the student…
- Guardian TechnologypolicyThe ultra-rich are spending one million dollars a day fighting California’s proposed billionaire tax
Tech billionaires have raised more than $340m to defeat Prop 40, a one-time 5% wealth tax that will fund healthcare and education Tech billionaires have been dumping hundreds of millions of dollars into the fight against…
- TechCrunch AIagentsReplit’s CEO says the future of work is the ‘self-driving company’
Replit CEO Amjad Masad envisions a future of “self-driving companies,” where AI agents handle day-to-day tasks and people focus on higher-level decisions.
- The Register AI + MLsafetyWant your AI chats to stay private? Brave TEEs up end-to-end encryption
Browser maker using trusted hardware to protect conversations with GLM 5.3 Flash
- Guardian TechnologycommunityHow to dress a tech oligarch: The Social Reckoning’s costume designer on Zuckerberg’s style evolution
Susan Lyall worked with actor Jeremy Strong to research the Meta CEO’s favorite Nikes and luxury sweaters The first Aaron Sorkin Facebook movie, 2010’s The Social Network, helped cement the early aughts image of Mark Zuc…
- Guardian TechnologychipsElon Musk reveals ‘world’s first flying car’ at Tesla event
The Tesla Roadster 2 drove up a curved ramp before using SpaceX rocket thrusters to fly, flip and land Elon Musk has revealed Tesla’s latest model, which he claims will be the world’s first flying car, using technology f…
- TechRadar AIsafetyRethinking identity architecture to close the help desk security gap
Mainstream AI news from a large tech publication.
- Guardian Technologypolicy‘We should all be worried’: calls grow to limit London rollout of robotaxis
Protest planned at Wayve HQ as Uber drivers fear for their future and city’s politicians demand TfL should have power over licences For passengers in Britain who want to try the latest ride, robotaxis are eagerly awaited…
- TechRadar AIsafetyWhy education IT teams must protect both human and machine identities
Mainstream AI news from a large tech publication.
- WIRED AIcommunityAI-Generated Hot Girls Are Ripping Off Comedians to Boost Their Horny Content
A network of AI-generated models is using comics’ material to funnel views to their OnlyFans and Fanvue accounts—and there’s not much comedians can do about it.
- TechRadar AIresearchGartner: The quantum threat is already behind schedule
Mainstream AI news from a large tech publication.
- TechRadar AIcommunityAI adoption has a talent problem - here’s how to solve it
Mainstream AI news from a large tech publication.
- Guardian TechnologycommunityPenguin Colony review – an Antarctic odyssey of Nazis and Lovecraftian horrors
PC; Origame Digital This odd but absorbing adventure sends you waddling across Antarctica in search of an eldritch entity – uncovering a world far stranger than it first appears A Nazi kneels down on frozen snow, staring…
- Tom's Guide AImodelsApple says Siri doesn't need to beat ChatGPT — here's what it's betting on instead
Consumer AI launches, tools, and practical coverage.
- Guardian AIpolicyAI threatens democracy. But we are not powerless: here’s how to fight back | Carine Fouteau
Tech platforms pillage public-interest journalism for profit. But we have leverage as they sow the seeds of their own downfall Carine Fouteau is president and publishing director of the French investigative news outlet M…
- Guardian TechnologypolicyPornography with strangulation and incest to be banned in England and Wales next month
Campaigners welcome legislation which follows recommendations by 2025 review into pornography regulation Pornography that depicts strangulation and incestuous relationships will be banned in England and Wales from early…
- LessWrongresearchAstra and Sol can take low probability actions with no CoT
This is a research update from a replication of Serrano et al., 2026 . I’m releasing these results now because I hope it inspires others to run similar / followup experiments. tl;dr: If a model wants to subvert evaluatio…
- Tom's Guide AImodelsI asked ChatGPT, Gemini, Claude and Perplexity which 10 jobs are 'safest' from AI — here's the roles they agreed on
Consumer AI launches, tools, and practical coverage.
- BBC TechnologysafetySnapchat and Instagram grooming becoming 'easier'
Online grooming is rising, with children as young as five targeted, prompting calls for reform.
- LessWrongresearchHow can LLM RL Work Despite Information-Theoretic Inefficiency
Cross-posted from my personal blog The success of RL in LLMs has been puzzling me for a while. People have developed various information-theoretic style arguments by which they argue that RL is extremely informationally…
- Latent Spaceresearch[AINews] Agents disprove Polysemanticity; greatly improve Interpretability & Alignment
Nick Cammarata out of nowhere with some major claims!
- Latent Spaceresearch[AINews] Agents disprove Polysemanticity; greatly improve Interpretability & Alignment
Nick Cammarata out of nowhere with some major claims!
- arXiv cs.AIagentsThe World Won't Wait: Evaluating and Teaching Agents Under a Live Clock
arXiv:2610.20665v1 Announce Type: new Abstract: Large language model (LLM) agents can solve complex interactive tasks, yet reasoning and tool calls take time. In continuously changing environments, an otherwise correct a…
- arXiv cs.AIresearchEvaluating Model Capabilities After Benchmark Saturation
arXiv:2610.20667v1 Announce Type: new Abstract: Rapid advances in AI capabilities are causing benchmarks to saturate. Once several models approach perfect scores, a benchmark loses its power to differentiate between them…
- arXiv cs.AIresearchValue-Informed Schedule Trimming for Accelerated Sequential Monte Carlo Guidance in Discrete Diffusion
arXiv:2610.20669v1 Announce Type: new Abstract: Reward-guided discrete diffusion enables test-time alignment with downstream objectives, but applying Sequential Monte Carlo (SMC) guidance at every denoising step is compu…
- arXiv cs.AIagentsAlphaDiana: A Measurement System for Agents in Verifiable Reasoning Tasks
arXiv:2610.20675v1 Announce Type: new Abstract: Agents pair reasoning models with harnesses that organize model calls, execute tools, load skill instructions, and retain history in memory. Understanding agent performance…
- arXiv cs.AIresearchWhen Correctness Feedback Erases Evidence: Phase-Separated Completeness Auditing in Verus
arXiv:2610.20676v1 Announce Type: new Abstract: Correctness feedback suppresses the very evidence that specification-completeness auditing is designed to uncover: programs that satisfy a written contract but violate inte…
- arXiv cs.AIresearchCounterfactual Neighborhood Risk Fields: Evidence-Grounded Selective Safety for Vision-Language Models
arXiv:2610.20679v1 Announce Type: new Abstract: Representation-based safety defenses for vision-language models (VLMs) often learn to separate harmful from benign inputs, but separation alone does not establish what a ri…
- arXiv cs.AIagentsIneqAgent: Agentic Inequality Proving in Lean with Symbolic Computation
arXiv:2610.20681v1 Announce Type: new Abstract: Formal inequality proving requires mathematical reasoning and exact computation, often connected through intermediate lemmas and goal reformulations. We introduce IneqAgent…
- arXiv cs.AIresearchL2G-SR: Learning to Guide LLM-based Symbolic Regression
arXiv:2610.20685v1 Announce Type: new Abstract: Symbolic regression searches for an equation that explains observed data. Numerical error is commonly used to guide the search, but it alone can favor an accurate surrogate…
- arXiv cs.AIresearchWhen Reality Outpaces Cognition: A New Scaling Principle for Reliable Intelligence
arXiv:2610.20764v1 Announce Type: new Abstract: This paper challenges the understanding capabilities of existing AI paradigms and emerging world models by asking a fundamental question: How quickly can reality change bef…
- arXiv cs.AIagentsARIA: Runtime Inspection and Amendment for Multi-Agent Systems
arXiv:2610.20780v1 Announce Type: new Abstract: In LLM-based multi-agent systems (MAS), a local mistake can propagate as other agents build on it, turning a correctable error into a failed task. Diagnosing completed runs…
- arXiv cs.AIresearchOpen-world AI: a Tale of Three Requirements
arXiv:2610.20782v1 Announce Type: new Abstract: The closed world asks AI for specialized competence and lets it manufacture the iid data its theory assumes: a fixed criterion licenses collecting examples until the task i…
- arXiv cs.AIagentsEvolvingBrain: An Adaptive Skill System for Multi-modal Agents Self-Evolution in Open Worlds
arXiv:2610.20786v1 Announce Type: new Abstract: Multi-modal agents have made significant progress in interacting with open worlds. However, their ability to self-evolve remains limited. Supervised fine-tuning enables imi…
- arXiv cs.AIresearchWhen Reasoning Traces Conflict with Evidence: How Answer Configuration Shapes Evidence Following
arXiv:2610.20805v2 Announce Type: replace Abstract: A reasoning trace retained at answer time plays two roles: it can raise accuracy, and it can compete with the current evidence when the two disagree. We disentangle the…
- arXiv cs.AIagentsA Self-Improving Agent that Grows its Own DSL: Oracle-Free Operator Induction for Exact Question Answering
arXiv:2610.20809v1 Announce Type: new Abstract: A self-improving agent has to decide which new skills to keep, and in practice it keeps whatever earns a high reward, convinces a judge model, or compresses its library, ev…
- arXiv cs.AIresearchTemporal Specification Guidance for Text-to-Video Generation
arXiv:2610.20822v1 Announce Type: new Abstract: Text-to-video models often generate the visual concepts requested in natural language prompts but fail to satisfy their intended ordering, timing, and persistence requireme…
- arXiv cs.AIresearchConfidence-Calibrated Inference Expansion for Evaluator-Guided Test-Time Reasoning
arXiv:2610.20836v1 Announce Type: new Abstract: Evaluator-guided reasoning presents a local control problem at every step: trust the current answer, return a fallback, or spend more inference. We formulate this choice as…
- arXiv cs.AIagentsEvolving Together, Failing Apart: The Skill-Policy Co-evolution Trap in Self-Improving Agents
arXiv:2610.20845v1 Announce Type: new Abstract: Skill-policy co-evolution, in which an agent's policy model and its skill bank improve each other during training, is a promising paradigm for self-improving agents. Curren…
- arXiv cs.AIresearchAnticipatory Commonsense with Moving Objects: An ASP-Based Framework for Predictive Reasoning with Interacting Trajectories
arXiv:2610.20867v1 Announce Type: new Abstract: We present a general declarative framework for anticipatory reasoning about interactive motion in complex dynamic environments. Our focus is on (explainable) anticipatory s…
- arXiv cs.AIresearchA Multi-Tiered AI Accessibility Model (MAIAM): Proportionate Access and Capability Limits for Comprehensive Frontier AI Safety
arXiv:2610.20921v1 Announce Type: new Abstract: Most debate about releasing capable AI systems treats the choice as binary: keep the model behind an API, or publish the weights. That framing runs together two separate de…
- arXiv cs.AIresearchDefining and Generating Compositional Structure
arXiv:2610.20922v1 Announce Type: new Abstract: Compositional structure is pervasive in nature and across scales: atoms combine into molecules, molecules into cells, and cells into organisms, while further compositional…
- arXiv cs.AIagentsSkillNEO: Non-Elitist Evolutionary Optimization of Agent Skills
arXiv:2610.20926v2 Announce Type: replace Abstract: Agent skills turn procedural knowledge into reusable artifacts, allowing LLM agents to accumulate and refine expertise through experience. Building on this, skill evolu…
- arXiv cs.AIagentsRAC: A Relational Agent Contract for Constraint-Governed Engineering Tasks
arXiv:2610.20935v1 Announce Type: new Abstract: Engineering agents must produce artifacts that satisfy exact, coupled constraints. Existing solutions often require agents to make semantic decisions and also derive conseq…
- arXiv cs.AIagentsMAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation and RL Training across Mobile and Computer Environments
arXiv:2610.20939v1 Announce Type: new Abstract: Online reinforcement learning (RL) with verifiable rewards has driven rapid progress in mathematics, coding, and tool use, but scaling this success to GUI agents remains ch…
- arXiv cs.AIresearchLEV: Thinking Fast and Deep with Looped Decision Models
arXiv:2610.20951v1 Announce Type: new Abstract: Decision models answer typed questions about an input with one probability per option, computed in a single forward pass without generating text. Like the fast System 1 of…