AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- Guardian AIsafetyAI chatbots remove hijabs from images of Muslim women when prompted
Guardian tested chatbots after French far-right politician stripped a Muslim woman of her hijab in a photo When prompted, AI chatbots will edit images to remove the hijabs from Muslim women, a violation of one of the wor…
- Guardian AIsafetyForget ‘superintelligence’: error-prone AI nearly sparked world war three this month | Timnit Gebru and Emily M Bender
The risks of AI aren’t what we think they are, as a recent security incident between China and the United States reveals Amid a barrage of news stories warning about superintelligent machines rendering humanity extinct,…
- Ai2 BlogmodelsIntroducing Olmo-core 3: Open, scalable training infrastructure for large MoEs
Olmo-core 3 introduces a redesigned, fully open training stack for efficiently scaling mixture-of-experts models into the trillion-parameter range.
- AI Stack ExchangeresearchNormalizing image embeddings after exponential moving average
I am working on object tracking in image plane. For each detected object in an image, I get a 256-dimensional embedding vector using a reID model. Since the embeddings can be noisy, for the same object in the image plane…
- Engadget AIpolicyJudge dismisses lawsuits claiming Google's AI Overviews siphon web traffic
Google may have a monopoly in search, but neither lawsuit made a compelling case the company was leveraging it.
- The Register AI + MLagentsThe tech industry is hot for shopping bots, but they're years away
What's good for human shoppers does not work with probabilistic AI agents
- Guardian AIpolicyAnika Wells named on Time100 list as one of ‘world’s most influential rising stars’ after social media ban
Time magazine list includes Australian communications minister after her efforts to take on big tech Get our new political email , free app or daily news podcast The federal communications minister, Anika Wells, has been…
- Latent Spacemodels[AINews] Gemini 4 Argon: GDM’s answer to Astra/Fable, with 1M output
... but you can’t try it yet unless you are “government users and trusted cyber defenders in the Fairwind Program”
- Simon Willison's WeblogsafetyQuoting Matthew Green
[...] Put these pieces together and you have the two halves of a worm: a payload that hijacks the agent, and an agent that will carry the payload to the next agent. Agents in separately-isolated sandboxes discovered that…
- LessWrongcommunitySpeak Not of Data Inefficiency
Humans are really bad at comparing themselves to models. Take, for example, Leopold's preschooler graph: Set aside, for a moment, concerns of scaling and RSI, and meditate: what characteristics does GPT-2 share with a pr…
- Tom's Guide AIagents7 boring jobs you can hand to an AI agent tonight — number 4 is my personal favorite
Consumer AI launches, tools, and practical coverage.
- BBC TechnologypolicyAI boom could trigger market shocks, Bank of England boss warns
Andrew Bailey says the central bank is watching the waves of cash being invested in artificial intelligence "very carefully".
- Guardian TechnologypolicySteve Hilton, Xavier Becerra clash in testy California governor’s race debate
The candidates running to replace Gavin Newsom sparred over taxes, immigration and regulating AI Xavier Becerra and Steve Hilton , the candidates running to be California ’s next governor, clashed on Wednesday over taxes…
- arXiv cs.AIresearchImproving OCR Faithfulness via Gated and Attenuated On-Policy Distillation
arXiv:2609.38282v1 Announce Type: new Abstract: Vision-language models may rewrite anomalous text in images into linguistically plausible expressions, compromising OCR transcription faithfulness. Sequence-level task rewa…
- arXiv cs.AIagentsAREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks
arXiv:2609.38288v1 Announce Type: new Abstract: We present AREX-2, an effort to advance the self-improving capability of LLM agents, which we define as the ability to iteratively refine a solution at test time. This abil…
- arXiv cs.AIagentsMoFlow: Multi-Objective Agentic Workflow Generation
arXiv:2609.38294v1 Announce Type: new Abstract: We study the generation of agentic workflows that jointly optimize multiple objectives, such as accuracy, cost, latency, robustness, and consistency. Existing methods for w…
- arXiv cs.AIagentsAI Agents are Vulnerable to Radicalization
arXiv:2609.38296v1 Announce Type: new Abstract: Large language models (LLMs) can influence people's beliefs, yet little is known about whether and how they can manipulate each other. To investigate this, we simulate conv…
- arXiv cs.AIresearchCARAT: Do Materials LLMs Reason or Recite?
arXiv:2609.38340v1 Announce Type: new Abstract: When a materials LLM answers a question about crystal structure, does it reason from the structure or copy an answer already printed in its input? Accuracy cannot tell: a s…
- arXiv cs.AIresearchExamining Variation in How Guided AI Tutors Resolve Student Impasses
arXiv:2609.38346v1 Announce Type: new Abstract: When a student is stuck, a tutor faces the assistance dilemma: help given too early can hinder productive struggle, while help withheld too long leaves the student in a fru…
- arXiv cs.AIresearchBeyond Mode Collapse: Generating Diverse Synthetic Expert Conversations via Generative Flow Networks
arXiv:2609.38359v1 Announce Type: new Abstract: High quality synthetic data is central to post training LLMs for adaptive AI applications that represent the diverse expert strategies and decisions in conversations. Promp…
- arXiv cs.AIagentsCan an AI Agent Rediscover a Blaschke-Curve Invariant?
arXiv:2609.38369v1 Announce Type: new Abstract: We study generalized Blaschke curves as a controlled environment for AI-assisted mathematical rediscovery. For one fixed degree-four Blaschke product, an agent receives num…
- arXiv cs.AIagentsSelf-Evolving Harness on Multiple Tasks with the Agent as Its Own Optimizer
arXiv:2609.38372v1 Announce Type: new Abstract: A harness is the code around a language-model agent that organizes prompts, calls tools, manages context, and controls execution. As models grow stronger, recent work has b…
- arXiv cs.AIresearchAligned Data Can Induce Misalignment via Context Confusion
arXiv:2609.38379v1 Announce Type: new Abstract: Large language models (LLMs) are frequently updated for various use cases, where filtering out misaligned training samples is a common practice for preventing post-update m…
- arXiv cs.AIresearchFine-Tuning Diffusion Language Models with Context Selection and Target Weighting
arXiv:2609.38385v1 Announce Type: new Abstract: Supervised fine-tuning of discrete diffusion language models masks some response tokens and trains the model to recover their original values from the visible context. The…
- arXiv cs.AIresearchDecode-Latency Feedback Prefill: A Model-Free Controller and Its Generalization Limits
arXiv:2609.38386v1 Announce Type: new Abstract: Concurrent autoregressive inference creates a fundamental interference problem: prefilling a newly arrived long prompt can delay tokens for requests that are already decodi…
- arXiv cs.AIresearchMetaPersona: Task-Grounded Synthetic Populations from Empirical Social Science
arXiv:2609.38392v1 Announce Type: new Abstract: Personas used to seed LLM social simulations face a cold-start problem: existing methods lack a principled basis for deciding which attributes to include and how to assign…
- arXiv cs.AIresearchSimTrace: Grounded Multimodal User Trajectories Generation for Online User Modeling
arXiv:2609.38397v1 Announce Type: new Abstract: Virtual clients offer a cost-effective approach to support applications such as A/B testing, recommender system development, and interface evaluation. However, building the…
- arXiv cs.AIresearchArgGYM: A Procedural, Engine-Verified Benchmark for Structured Defeasible Reasoning
arXiv:2609.38409v1 Announce Type: new Abstract: Recent progress in large language model reasoning has been driven by benchmarks and reinforcement learning environments with automatically verifiable rewards, particularly…
- arXiv cs.AIagentsA Competing-Hazards Systematization of Loss of Control in Autonomous Agents
arXiv:2609.38411v1 Announce Type: new Abstract: Leading AI developers have reported agents acting beyond their approved limits, which a United Nations panel described as an early warning of loss of human control. Yet inc…
- arXiv cs.AIagentsAIM: Agentic Idea Management for Automated Research
arXiv:2609.38445v1 Announce Type: new Abstract: Frontier LLMs are increasingly used to automate scientific research through iterative search. We distinguish idea-driven search from solution-driven search and identify thr…
- arXiv cs.AIresearchReach Into The CHOIR: Free-List Elicitation Uncovers Distinct Model Voices in LLM Ensembles
arXiv:2609.38448v1 Announce Type: new Abstract: Open-ended LLM homogeneity can create false plurality when several systems appear to offer independent perspectives while returning the same familiar default. Single-pass a…
- arXiv cs.AIagentsPrivMeSA: Privacy-Aware Self-Evolving Multi-Agent System for Medicine via Local-Remote LLM Collaboration
arXiv:2609.38458v1 Announce Type: new Abstract: Clinical large language model (LLM) agents deployed locally can consult more capable remote models, but doing so risks exposing patient information. Privacy-conscious deleg…
- arXiv cs.AIagentsNAQD Env: A benchmark for selective withdrawal in language agents
arXiv:2609.38460v1 Announce Type: new Abstract: Language agents must revise planned actions when evidence changes, permission is revoked, or a stop instruction arrives. A useful response is selective: suspend affected ac…
- arXiv cs.AIagentsVAmoS Part Deux: Harder, More Realistic Voice-Agent Simulation
arXiv:2609.38512v1 Announce Type: new Abstract: Voice agents in production must handle several requests, background speech, and customers who lose patience. We introduce VAmoS Energy, a benchmark that combines these chal…
- arXiv cs.AIresearchDemographic Pluralism: Inference-Time Modeling of Pluralistic Human Preference Distributions
arXiv:2609.38555v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used in culturally sensitive settings, where alignment requires representing diverse preferences within populations. Yet exist…
- arXiv cs.AIresearchDefining and Categorising Human-AI Interactions in Clinical Trials: A Multidimensional Human-AI Classification Approach
arXiv:2609.38559v1 Announce Type: new Abstract: This paper examines human-AI interactions (HAIIs) in clinical trials and presents a multidimensional categorisation framework that classifies interactions according to AI t…
- arXiv cs.AIresearchTowards Model as a Library: Offline, Community-Sourced AI for Low-Resource African Languages
arXiv:2609.38574v1 Announce Type: new Abstract: Large language models are frequently proposed as a route to AI-powered services for African communities, but they are least reliable exactly where the need is greatest: all…
- arXiv cs.AIresearchConditional Generation of Creative Chess Puzzles with Diffusion Models
arXiv:2609.38577v1 Announce Type: new Abstract: While modern language models demonstrate impressive generative capabilities, they often struggle with constrained, counter-intuitive creative tasks. To address this limitat…
- arXiv cs.AIresearchSense and Sensitivity: Benchmarking LLM Clinical Triage Recommendations with Physician Experts
arXiv:2609.38600v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly used in clinical settings, it is critical to evaluate their reliability under realistic variation in clinical text. We stud…
- arXiv cs.AIresearchWhen Scientific Contradictions Are Lost in Translation
arXiv:2609.38621v1 Announce Type: new Abstract: Two scientific findings can disagree without contradicting each other. Determining whether they conflict requires knowing whether they describe comparable measurements. We…
- arXiv cs.AIresearchComponent-Aware Feedback for Self-Evolving Programs
arXiv:2609.38639v1 Announce Type: new Abstract: LLM-guided evolutionary search can discover complex programs, but existing methods mostly only save candidate programs and fitness scores while discarding which component e…
- arXiv cs.AIresearchChartRevise: A Dataset and Evaluation Protocol for Exact Chart Editing via Code
arXiv:2609.38642v1 Announce Type: new Abstract: Chart editing requires cross-modal edit grounding, realizing a requested visual change in the code that draws it, with necessary related updates and without altering unrela…
- arXiv cs.AIagentsAgBench: Agentic AI Benchmarks for Personal AI Devices
arXiv:2609.38652v1 Announce Type: new Abstract: Agentic AI systems increasingly rely on cloud-hosted large language models for planning, tool use, and iterative execution, raising concerns about API cost and data exposur…
- arXiv cs.AIagentsEvoSteer: Online Self-Evolving Graph Orchestration via Reference-Anchored Credit Assignment
arXiv:2609.38661v2 Announce Type: replace Abstract: In recent years, LLM-based multi-agent systems have been widely applied to orchestrate tool-using agents into executable communication graphs. However, existing self-ev…
- arXiv cs.AIagentsWhere Scientific Search Agents Fail: Decision-Checkpoint Auditing of Exposure and Inspection Attempts
arXiv:2609.38670v1 Announce Type: new Abstract: Final-answer accuracy does not reveal whether a scientific-search agent failed to encounter a target paper, attempt to inspect it, or return an accepted answer after inspec…
- arXiv cs.AIresearchConcept-Grounded Attention: A Controlled Evaluation of Graph-Injected Attention, Temporal Versioning, and Epistemic Status
arXiv:2609.38684v1 Announce Type: new Abstract: Knowledge-intensive language-model systems typically represent external knowledge as text chunks or static graphs, with limited support for concept evolution, point-in-time…
- arXiv cs.AIresearchGATE-ST: Gene-Aware Text-image Encoder for Spatial Transcriptomics
arXiv:2609.38690v1 Announce Type: new Abstract: Spatial transcriptomics enables spatially resolved gene expression analysis from slide-level images while preserving morphological features, providing valuable information…
- arXiv cs.AIresearchBudget Boundary Effects in Test-Time Mathematical Reasoning
arXiv:2609.38699v1 Announce Type: new Abstract: A cumulative token cap can fall inside a mathematical derivation, forcing a test-time controller to choose between stopping at the cap (strict) and allowing the current att…
- arXiv cs.AIagentsStaying on Task: Testing the Foundations of Long-Horizon Agent Reliability
arXiv:2609.38712v1 Announce Type: new Abstract: Long-horizon agentic workflows require models to sustain repeated state-dependent actions all while the context grows, sub-task complexity changes, and new data arrives. Ea…
- arXiv cs.AIresearchUniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement
arXiv:2609.38721v1 Announce Type: new Abstract: Modern multimodal models bring generation and understanding into a single unified system, which enables them to provide and learn from their own feedback. Motivated by this…