AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- Guardian TechnologycommunityMeet the real-life Pokémon professors, the unsung heroes of competitive monster-battling
They offer advice, referee card games and manage players’ tantrums – we caught up with some of the volunteer profs who keep the competitive game going at this year’s world championships Professors may be the most revered…
- TechRadar AImodelsEnterprise AI has a memory problem, but businesses have the answer
Mainstream AI news from a large tech publication.
- Latent Spacemodels[AINews] Meta Connect 2026: Muse glasses, voice, video, and Charm
Team Zuck is absolutely on fire.
- Tom's Guide AImodelsI tested ChatGPT-6 vs Claude Opus 5.5 with 5 everyday prompts — it wasn’t even close
Consumer AI launches, tools, and practical coverage.
- Tom's Guide AImodelsI tried Apple’s new at-home wellness assessment in iOS 27 — and gained valuable insights into my flexibility and balance
Consumer AI launches, tools, and practical coverage.
- Guardian AIsafetyOpenAI’s Medicare hack is a bleak opportunity for Australia to address its security shortcomings post-haste | Van Badham
All Australians should demand independent means to protect ourselves from Dr Sam Altman Frankenstein and Daddy America Whoopsie! Dr Sam Altman Frankenstein regrets to inform you he’s lost control of his OpenAI monster. I…
- BBC TechnologypolicyWhat you need to know about the OpenAI Australian government hack
The BBC’s North America technology correspondent Lily Jamali explains how the Medicare breach happened, and why it matters.
- Engadget AImodelsGoogle Photos' new Redact tool will make it easy to hide sensitive information
Google Photos’ new AI-powered features include the Redact tool, which can quickly blur parts of an image.
- LessWrongpolicyAgainst Export Controls (and China Threat Models)
Introduction In this month’s meetings, I expect China to again downplay safety risks. It could dangle the possibility of safety cooperation in exchange for concessions such as the softening of chip controls. I think it w…
- Guardian AIsafetyAn OpenAI agent infiltrated Medicare – and Australia only found out months later. Here’s what we know so far
Experts say ‘fairly minor’ breach is a portent of things to come and proprietary closed systems like OpenAI are ‘the least of the worries’ Follow our Australia news live blog for latest updates Get our breaking news emai…
- Engadget AIagentsPixel 11's Call For Me feature begins preliminary rollout
Select Gemini subscribers with a Pixel 11 can soon try out phone calls via AI chatbot.
- Guardian AIcommunity‘That’s so AI!’ What gen Alpha’s biggest insult tells us
The year’s most popular slang reveals what young people think about artificial intelligence – and it’s not positive Name: “That’s AI!” Age: Brand new. Continue reading...
- arXiv cs.AIagentsSilent Failures in Agent-Tool Interaction: An Audit of ToolUniverse
arXiv:2609.26836v2 Announce Type: replace Abstract: Agentic AI systems are increasingly adopting automated pipelines that integrate multiple tools. While prior research have studied task success and task completion of su…
- arXiv cs.AIagentsHarness as a Language: A Minimalist Agent Framework With Maximal Expressivity
arXiv:2609.26891v2 Announce Type: replace Abstract: Modern language-model agents are built around the agent loop: the LLM is placed in an environment exposing a set of tools, and the LLM has full control over the workflo…
- arXiv cs.AIagentsTwinCheck: Evidence-Grounded Negative-Twin Verification for Stateful Tool Agents
arXiv:2609.26911v2 Announce Type: replace Abstract: A single locally plausible tool call can derail an otherwise successful agent trajectory. Suspicion alone does not justify intervention, because the replacement itself…
- arXiv cs.AIagentsBuilding Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations
arXiv:2609.26927v2 Announce Type: replace Abstract: The objective of this article is to provide design principles and a software architecture for enabling interaction between humans and multiple agents in simulated dynam…
- arXiv cs.AIresearchWhich Objectives Need a Dial? Predicting Objective Conflict and Covering Trade-offs in Steerable Pluralistic Alignment
arXiv:2609.26929v1 Announce Type: new Abstract: People hold diverse, sometimes conflicting values, so no single aligned model can satisfy everyone. Pluralistic alignment therefore calls for steerable models that can bala…
- arXiv cs.AIresearchEscaping Python Dependency Hell: A Hybrid Replay-and-Repair Pipeline for Python Dependency Resolution
arXiv:2609.26952v1 Announce Type: new Abstract: Dependency conflicts in Python ecosystems arise from incompatible version constraints, missing packages, and undocumented compatibility relationships, causing many real-wor…
- arXiv cs.AIresearchSame evidence, different judgments: Evidence noncommutative in vision/speech-text conflicts
arXiv:2609.26986v1 Announce Type: new Abstract: For multimodal large language models, when images or speech conflict with accompanying text, measured text reliance can entangle modality preference with evidence position.…
- arXiv cs.AIagentsReinforcement Learning with Decomposed Subtasks
arXiv:2609.27035v2 Announce Type: replace Abstract: Group Relative Policy Optimization (GRPO) and related policy-gradient methods for training language model agents collapse an entire multi-turn rollout into a single sca…
- arXiv cs.AIagentsTraining Intelligent Voice Assistant Wakeup with Controllable Synthetic Conversations
arXiv:2609.27037v1 Announce Type: new Abstract: Wake word detection is a critical component of virtual assistants, serving as the gateway to seamless user interactions. This paper introduces a novel wake-up system that e…
- arXiv cs.AIresearchAre Stated Reasoning Steps Causally Load-Bearing?
arXiv:2609.27038v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring assumes that the reasoning a model writes reflects the computation that directly produces its answer. Previous faithfulness metrics have b…
- arXiv cs.AIresearchMath Reasoning in LLMs is Organized by Approach, Not Topic
arXiv:2609.27041v2 Announce Type: replace Abstract: Mathematical reasoning benchmarks are typically organized by topic, but language models may organize their internal computation by reusable reasoning approach instead.…
- arXiv cs.AIagentsPropose, Don't Judge: An Anytime-Valid Referee for LLM Agents That Mine Investment Factors
arXiv:2609.27051v1 Announce Type: new Abstract: Language-model agents now run the whole of quantitative factor research: they propose investment factors, backtest them, select the survivors and retire them. We ask which…
- arXiv cs.AIresearchPolicy-as-Skill: Governed LLM Decision Support with Evidence, Deterministic Control, and Audit
arXiv:2609.27087v1 Announce Type: new Abstract: Organizations increasingly use LLMs for policy, compliance, risk, and operational decision support, requiring evidence validation, review routing, version control, and audi…
- arXiv cs.AIresearchProvably Complete Generalized Planning with LLMs
arXiv:2609.27105v1 Announce Type: new Abstract: Generalized planning aims to compute a plan that solves all instances of a planning domain. Recent work has used LLMs to automatically generate and debug such generalized p…
- arXiv cs.AIagentsDo We Need Complex Topology Control? Distinct-Peer Random Routing Improves Cost-Efficiency in Sparse Multi-Agent Debate
arXiv:2609.27150v1 Announce Type: new Abstract: Multi-agent debate (MAD) has emerged as a promising paradigm for improving the reasoning accuracy of large language models (LLMs) through iterative peer interaction. Commun…
- arXiv cs.AIresearchEnhancing Small Language Models for Power Outage Report Generation via Minimum Risk Training
arXiv:2609.27197v1 Announce Type: new Abstract: Minimum Risk Training (MRT) enables neural machine translation models to directly optimize sequence-level evaluation metrics instead of relying only on token- level maximum…
- arXiv cs.AIresearchXLOG: A CUDA-Native Engine for Neurosymbolic Integration
arXiv:2609.27203v1 Announce Type: new Abstract: xlog is a CUDA-native logic programming engine integrating neural perception with deterministic Datalog, probabilistic inference, and epistemic world views through a typed…
- arXiv cs.AIagentsCAVEAT: Towards Robust Computer-Use Agents in Incentive-Misaligned Environments
arXiv:2609.27273v2 Announce Type: replace Abstract: Computer-use agents (CUAs) increasingly act on behalf of users online. What happens when the environments they operate in have incentives of their own? Online marketpla…
- arXiv cs.AIagentsDRSR: Learning Set-Level Deletion Risk for Efficient Long-Horizon Agents
arXiv:2609.27276v1 Announce Type: new Abstract: Long-horizon language-model agents accumulate reasoning traces, tool exchanges, and observations whose relevance changes with the current decision. Existing compression str…
- arXiv cs.AIagentsTimeEvo: Failure-Driven Self-Evolution of a Time Series Agent
arXiv:2609.27277v1 Announce Type: new Abstract: Time series agents answer analytical questions by calling external tools, and which tools they carry is decided by people before the agent runs. However, we identify two fa…
- arXiv cs.AIagentsEnSIMem: Entity-Structured Indexing for Long-Term Agent Memory
arXiv:2609.27279v2 Announce Type: replace Abstract: An agent that interacts with users over long periods must recall facts, preferences, events, and changes from a continuously growing interaction history. Existing memor…
- arXiv cs.AIresearchHunyuan-A13B Technical Report
arXiv:2609.27284v1 Announce Type: new Abstract: We present Hunyuan-A13B, an open-source large language model based on a Mixture-of-Experts architecture. It contains 80 billion total parameters but activates only 13 billi…
- arXiv cs.AIagentsMemory Control Signals Emerge Before Action in Long Horizon Agents
arXiv:2609.27286v1 Announce Type: new Abstract: Long horizon language model agents continuously accumulate interaction history, increasing computational cost while making relevant information harder to preserve and reuse…
- arXiv cs.AIresearchPotARCin: Multi-Dimensional Evaluation of Skill Acquisition in Abstract Reasoning Tasks
arXiv:2609.27288v2 Announce Type: replace Abstract: The Abstraction and Reasoning Corpus (ARC) has become a prominent benchmark for evaluating general abstract reasoning and fluid intelligence in AI models. Yet standard…
- arXiv cs.AIresearchSparse-Observation Atmospheric Thermal Forecasting with Physics-Informed Neural Networks for Climate-Aware Digital Twins
arXiv:2609.27290v1 Announce Type: new Abstract: Short-horizon forecasts of atmospheric temperature are needed to support climate-aware digital-twin systems, but such forecasts must be produced where thermal observations…
- arXiv cs.AIagentsLarge Knowledge Model: A Knowledge Foundation for Agentic Science at Scale
arXiv:2609.27297v2 Announce Type: replace Abstract: Agentic science envisions many autonomous agents investigating concurrently while building on a shared, evolving body of scientific knowledge. This requires a knowledge…
- arXiv cs.AIagentsStateComp: Learning When to Compress History in Long Horizon Agents
arXiv:2609.27298v1 Announce Type: new Abstract: Long-horizon agents continuously accumulate interaction history during task execution, yet the importance of past interactions changes as the agent state evolves. Existing…
- arXiv cs.AIagentsLearn How to Act from Your Own Interactions: On-Policy Self-Distillation for GUI Agents
arXiv:2609.27307v1 Announce Type: new Abstract: Graphical User Interface (GUI) agents enable the fulfillment of complex user instructions through multi-turn interactions with software environments, requiring step-wise re…
- arXiv cs.AIagentsVerifiable Hidden Dynamics Play: Generating Agentic RL Environments from Solved Mechanisms
arXiv:2609.27321v1 Announce Type: new Abstract: Language-model agents increasingly face long-horizon tasks with evolving state, interdependent decisions, and delayed outcomes. Scaling their training requires diverse agen…
- arXiv cs.AIagentsStable Geometry with Divergent Task Evidence for Efficient Long-Horizon Agent Compression
arXiv:2609.27332v1 Announce Type: new Abstract: Long horizon agents accumulate growing interaction histories that increase context and inference costs. We find that geometric redundancy alone is an insufficient criterion…
- arXiv cs.AIresearchAlignment Inertia: Auditing the Durability of Training Data Influence Through Policy Override Resistance
arXiv:2609.27333v1 Announce Type: new Abstract: Platform operators increasingly rely on system prompts and fine-tuning to govern model behavior, yet it remains unclear how reliably these interventions override behavior i…
- arXiv cs.AIagentsJust-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents
arXiv:2609.27334v1 Announce Type: new Abstract: Agentic memory systems reuse past experience to improve future performance, yet most existing designs curate memory at write time: once a task is completed, its trajectory…
- arXiv cs.AIresearchCART: Closed-Loop Adaptive Red Teaming for Large Language Models
arXiv:2609.27336v1 Announce Type: new Abstract: Automated red teaming often replays a fixed set of prompts, which measures known risks but cannot learn from failures found during testing. We present CART (Closed-Loop Ada…
- arXiv cs.AIagentsMolDesignBench: Evaluating LLM-based Agent for Scenario-grounded Molecular Design
arXiv:2609.27349v1 Announce Type: new Abstract: Real-world molecular design remains challenging for large language model (LLM)-based agents. It requires them to interpret design contexts, satisfy multiple constraints, id…
- arXiv cs.AIagentsEmergi-PersonaOS: A Persona Agent Operating System for Situational Adaptation and Controllable Evolution
arXiv:2609.27417v2 Announce Type: replace Abstract: Symbiosis between humans and digital beings offers a vision for the future of human--machine interaction. In enduring human--machine relationships, personality provides…
- arXiv cs.AIagentsWhatWorkedBench: Benchmarking Experimental Understanding in AI Agents
arXiv:2609.27490v2 Announce Type: replace Abstract: AI research agents must predict the effects of computational changes after budgeted experiments. WhatWorkedBench evaluates this experimental understanding through a del…
- arXiv cs.AIresearchNot What You Meant: Can LLMs Follow a Specified Negation Semantics?
arXiv:2609.27517v1 Announce Type: new Abstract: Negation does not carry a uniform interpretation across domains. In legal, regulatory, and medical reasoning, the intended interpretation depends on the reading in force --…
- arXiv cs.AIagentsState-Grounded Conditioning: Wrapping User-Facing LLM Agents Where Direction Depends on Live State
arXiv:2609.27606v1 Announce Type: new Abstract: We introduce State-Grounded Conditioning (SGC), a design principle for user-facing LLM agents that must condition on live user state (game state, session history, live inve…