AI news archive.
4,966 articles filed under Agents, newest first, from the outlets listed on the sources page.
- LessWrongagentsClarifying types of rogue AI activity: Breakout, breakin, exfiltration, … What’s what?
In case you haven’t heard, the rogue AI agents are here. From an insider’s perspective, the real news is that (rogue) AI is in the news — this is all stuff we’ve foreseen and been trying to warn people about for years. I…
- TechCrunch AIagentsAmazon drops data center NDAs, and AI agents want your credit card
Amazon says it will stop using NDAs when negotiating data center deals with local governments, following a similar move from Microsoft earlier this year. Secrecy has fueled community backlash against AI infrastructure, w…
- AWS Machine Learning BlogagentsICYMI: What landed for AI builders in September 2026
A monthly recap of the latest Amazon Bedrock, Amazon Bedrock AgentCore, and Strands updates from September 2026: broader model choice, faster serverless agents with built-in evaluation, and automated knowledge base synci…
- AWS Machine Learning BlogagentsHow Postman runs Agent Mode for 40 million developers on Amazon Bedrock
Building an AI agent that works in a demo is a different problem from running one for 40 million developers. Postman and AWS share the architectural patterns behind Agent Mode: controlling tool sprawl, exposing schema-ba…
- The Register AI + MLagentsOracle lets AI agents do the work, provided you stay in Big Red's world
Analysts welcome Fusion Claw's tighter controls but warn of early adoption and cloud lock-in
- SiliconANGLE AIagents18 insights from SailPoint’s Navigate event: Enterprises race to bring identity security for AI agents up to machine speed
AI agents have made identity the front line of enterprise security. Agents now number in the thousands. They pick up access nobody meant to give them, and when they’re blocked partway through a task, they look for anothe…
- The DecoderagentsAnthropic's Claude Science creates the first complete ultraviolet map of the sky
Astrophysicist Brice Ménard of Johns Hopkins University used Anthropic's Claude Science to map the entire sky in ultraviolet light for the first time. AI agents downloaded data from multiple space missions, calibrated it…
- Ai2 BlogagentsAi2 at COLM 2026: Open research, from models to agents for science
Ai2 joined COLM 2026 to share advances in open language models, training infrastructure, and AI for science, including Olmo Hybrid, Asta, and Bolmo, while connecting with the broader research community.
- OpenAI NewsagentsAsana cuts model costs 76x in browser tests with GPT-6.1 Sol
Using GPT-6 Astra in Codex, Asana made its browser agent 76x cheaper and 5x faster in tests to offer customers more capable models.
- arXiv cs.AIagentsSynthesis Through Simulation: Generating Coherent Enterprise Data via Scalable Agent-System Interaction
arXiv:2610.10549v2 Announce Type: replace Abstract: Tool-calling agents have become central to enterprise AI, yet training and evaluating them at scale remains severely constrained due to business and legal restrictions…
- arXiv cs.AIagentsAgent-Controlled Forgetting for Tool-Using Agents: Reversible Context Curation in Practice
arXiv:2610.10590v1 Announce Type: new Abstract: Tool-using agents repeatedly carry observations whose useful content can be much smaller than their original payload. We study agent-controlled forgetting: the acting model…
- arXiv cs.AIagentsVerification and Self-Improvement in Agentic AI: Foundations and Limits
arXiv:2610.10611v2 Announce Type: replace Abstract: A self-improving agent can find accepted solutions more often without expanding the tasks its verification interface can accept. We extend task-relative verification wi…
- arXiv cs.AIagentsThe Harness as the Only Mutable Surface: Compliance-Bounded Self-Evolution of LLM Agents in Credit Pipelines, with a Measured Admission Gate
arXiv:2610.10629v1 Announce Type: new Abstract: Self-improving LLM agents can adapt a credit pipeline to a changed rule, but an agent that rewrites itself destroys the artefact a supervisor reviews: a named change, a rec…
- arXiv cs.AIagentsSpeaking the Navigator's Language: Trajectory-Grounded Instruction Translation for Frozen Aerial VLN Agents
arXiv:2610.10635v1 Announce Type: new Abstract: Aerial vision-and-language navigation (VLN) agents are typically trained on detail-rich, trajectory-aligned commands, whereas users issue short, intent-driven instructions;…
- arXiv cs.AIagentsPlan-and-Patch: Diffusion Language Models for Agentic Planning
arXiv:2610.10786v1 Announce Type: new Abstract: Planning is increasingly important for long-horizon agents, where successful execution requires coordinating subgoals, tool use, and intermediate outcomes over many steps.…
- arXiv cs.AIagentsOn the Clock: Towards Punctual and Productive Time-Budgeted AI Agents
arXiv:2610.10833v1 Announce Type: new Abstract: We study whether small LLM agents can operate effectively under explicit wall-clock time budgets by both respecting the allocated runtime and using available time productiv…
- arXiv cs.AIagentsReading the Room: Foundations, Design, and Challenges of Normative Competence in LLMs
arXiv:2610.10906v2 Announce Type: replace Abstract: Human communities are governed by normative systems: shared standards that produce \textit{norms} dictating acceptable behavior, enforced through community sanctioning.…
- arXiv cs.AIagentsStoreBench: A Live-Commerce Environment for Evaluating and Training Autonomous Operator Agents
arXiv:2610.10942v1 Announce Type: new Abstract: Reinforcement learning environments are now a primary lever for improving large language model (LLM) capabilities in post-training, yet most agentic benchmarks remain stati…
- arXiv cs.AIagentsCurating Always-Loaded Context for LLM Agents: A Capacitated Assortment Model with Censored Feedback
arXiv:2610.11007v1 Announce Type: new Abstract: At the start of every session, LLM agents load a fixed context file, such as $\texttt{AGENTS.md}$. Each loaded token in the file is charged again in every later round of th…
- arXiv cs.AIagentsAgentHorizon: Evaluating Agentic Judges for Long-Horizon Computer-Use Tasks
arXiv:2610.11050v1 Announce Type: new Abstract: Computer-use agents are capable of completing complex tasks, increasing the use of automatic judges to determine success, either for training or for evaluation without huma…
- arXiv cs.AIagentsWhen Interfaces Speak: Data-Aware Generative UI Harness for Active Interaction
arXiv:2610.11123v1 Announce Type: new Abstract: Most human-agent interaction today remains text-based. Natural language can impose cognitive overload, ambiguity, information chaos, and slow input for complex tasks; ephem…
- arXiv cs.AIagentsWhat to Admit and How to Present: Governing Persistent Memory in LLM Agents
arXiv:2610.11188v1 Announce Type: new Abstract: Persistent memory can improve personalization in LLM agents but can also induce sycophancy and cross-domain leakage. We distinguish two governance decisions: admission, whi…
- arXiv cs.AIagentsLLM-IDEA: Identifiability-Driven Experimental Agent for Autonomous Discovery of Mechanistic World Models
arXiv:2610.11253v1 Announce Type: new Abstract: Large language model agents are being increasingly deployed as autonomous scientists, designing experiments and inferring mechanistic world models with minimal human oversi…
- arXiv cs.AIagentsTaReD: Tool-Aware Recursive Decomposition for Long-Horizon Tasks
arXiv:2610.11268v1 Announce Type: new Abstract: Agents combine reasoning with tools to interact with external systems and complete real-world tasks. Early agents typically interleave reasoning and actions along a single…
- arXiv cs.AIagentsOpen-ended Scientific Discovery with Possibilistic Reasoning
arXiv:2610.11289v1 Announce Type: new Abstract: Autonomous scientific discovery with LLMs requires generating and testing hypotheses adaptively as evidence accumulates while maintaining statistical validity. Existing any…
- arXiv cs.AIagentsDuplexAgent-RSI: Recursive Harness Improvement for Full-Duplex Voice Agent Collaboration
arXiv:2610.11299v1 Announce Type: new Abstract: Voice agents are converging on a collaboration pattern: a full-duplex interaction model stays on the live channel as the entry to the conversation, while search, reasoning,…
- arXiv cs.AIagentsMedBenchAgent: Towards Systematic Automation of Medical VLM Benchmark Construction
arXiv:2610.11312v1 Announce Type: new Abstract: Large-scale construction of medical vision-language model (VLM) benchmarks is increasingly feasible with richly annotated imaging datasets and large language models (LLMs),…
- arXiv cs.AIagentsMine Odyssey: Benchmarking Spatial Agentic Intelligence in the Wild
arXiv:2610.11328v1 Announce Type: new Abstract: Advances in foundation models are driving efforts to introduce agents to assist people in the physical world. Such agents require agentic spatial intelligence: exploring un…
- arXiv cs.AIagentsReCast: Attribution-Oriented Step Representation Learning for LLM-Based Agent Systems
arXiv:2610.11334v1 Announce Type: new Abstract: In LLM-based agent systems, failures can originate from early steps whose effects propagate through subsequent interactions, making their origins difficult to identify. To…
- arXiv cs.AIagentsSynCo: Data Synthesis Co-Training for Self-Evolving LLMs via Multi-Agent Reinforcement Learning
arXiv:2610.11345v1 Announce Type: new Abstract: Self-evolving LLM agents promise to improve autonomously through continual interaction and learning, reducing their dependence on manually curated supervision. Realizing th…
- arXiv cs.AIagentsRaReCache: Bridging the Gap in Cross-Model KV Cache Reuse via Rank disagreement-based Selective Recomputation
arXiv:2610.11358v1 Announce Type: new Abstract: Cross-model KV-cache reuse remains a key challenge in modern LLM serving. Coding agents and multi-model systems increasingly route a shared context across models: a user ma…
- arXiv cs.AIagentsRIT-RAG: Navigating Document Corpora with Retrieval-Induced Trees
arXiv:2610.11370v2 Announce Type: replace Abstract: Retrieval-augmented generation (RAG) grounds language models in external corpora. Agentic RAG enables iterative search, yet exposes the model to isolated chunks without…
- arXiv cs.AIagentsEnvironmental Feedback Modeling Matters: Rethinking Feedback Treatment in Agentic Hindsight Self-Distillation
arXiv:2610.11384v1 Announce Type: new Abstract: Reinforcement learning is commonly used to train language agents in interactive environments, but cannot be directly applied when rewards are unavailable. Recent methods us…
- arXiv cs.AIagentsTracing the Thoughts of a Coding Agent Playing ARC-AGI-3: Lessons for Continual Learning
arXiv:2610.11450v1 Announce Type: new Abstract: We study how a coding agent learns across a sequence of abstract reasoning tasks. The agent runs on a frozen foundation model inside a fixed harness and acts by writing and…
- arXiv cs.AIagentsWho Verifies the Verifier? Co-Evolving Inspectable Graders with Self-Improving Agents
arXiv:2610.11464v1 Announce Type: new Abstract: We changed the agent: did it actually get better? Every self-improving agent loop answers this hundreds of times, and every answer comes from a verifier. On open-ended task…
- arXiv cs.AIagentsBridgeGuard: Explicit Safety Drift for Diffusion-based Autonomous Driving
arXiv:2610.11483v1 Announce Type: new Abstract: Diffusion-based driving planners capture diverse behaviors but can generate unsafe trajectories under distribution shift. We propose BridgeGuard, a safety-constrained diffu…
- arXiv cs.AIagentsThe Operator Mismatch Problem: Deploying BEV Perception with Portable GPU Compute
arXiv:2610.11504v1 Announce Type: new Abstract: Modern autonomous driving systems rely on bird's-eye-view (BEV) perception models that fuse camera and LiDAR inputs to detect objects in 3D space. These models are accurate…
- arXiv cs.AIagentsSafe, Persistent, and Evolving Agent Harness for Understanding Partially Observable Worlds
arXiv:2610.11552v1 Announce Type: new Abstract: Large language model agents can invoke tools fluently, but enterprise workflows demand more than selecting the right tools: actions must strictly comply with organizational…
- arXiv cs.AIagentsWorkerville: Towards an Organizational Behavior Account of Agent Safety
arXiv:2610.11561v1 Announce Type: new Abstract: LLM-based agents now interact with their environments continuously, shaped by such organizational channels as user instructions, peer messages, and long-term memory. Existi…
- arXiv cs.AIagentsMemory Type Varies: Empowering LLM Agents for Long-Term Memory with Diverse Strategies
arXiv:2610.11573v1 Announce Type: new Abstract: The memory capabilities of Large Language Models (LLMs) have garnered increasing attention recently. Despite great success achieved, existing retrieval-based memory approac…
- arXiv cs.AIagentsError-Propagation Modeling for Failure Attribution in LLM-Based Multi-Agent Systems
arXiv:2610.11600v1 Announce Type: new Abstract: LLM-based multi-agent systems (MASs) are increasingly used to solve complex tasks through coordinated reasoning, tool use, and interaction with external resources. However,…
- arXiv cs.AIagentsAgentEvolver: System-Wide Self-Evolution Through Task Execution
arXiv:2610.11613v1 Announce Type: new Abstract: An agent can complete a task without improving how it works. Turning task experience into reusable capability requires connecting the changed component to its evaluation an…
- arXiv cs.AIagentsEvidence-Traceable Dynamic Interviewer Architecture for Expertise-Adaptive Qualitative Interviews Using Local LLMs
arXiv:2610.11651v1 Announce Type: new Abstract: Automated interviewers and conversational agents are increasingly used in research, recruitment, customer service, and education. However, many existing systems rely on fix…
- arXiv cs.AIagentsHarness Evolution Hits a Ceiling: When Weight Training Should Begin
arXiv:2610.11655v1 Announce Type: new Abstract: Improving a long-horizon LLM agent means evolving the harness around a frozen model or training its weights. We let a self-evolving harness make the system stronger first,…
- arXiv cs.AIagentsLamarck's Driving School: Discovering Autonomous Driving Training Strategies through Evolutionary Competition
arXiv:2610.11662v1 Announce Type: new Abstract: Autonomous driving capabilities depend strongly on the distribution of scenarios encountered during training. Existing methods commonly construct or dynamically adapt train…
- arXiv cs.AIagentsConstrained Command-Conditioned Reinforcement Learning with Bandit Strategy Selection in Real-Time Strategy Games
arXiv:2610.11663v1 Announce Type: new Abstract: Deep reinforcement learning agents reach strong performance in real-time strategy games but can be brittle against opponents outside their training distribution. Separating…
- arXiv cs.AIagentsDeltaReplay: Task-Relative Memory Reuse for Mobile GUI Agents
arXiv:2610.11707v1 Announce Type: new Abstract: Memory-augmented mobile GUI agents store successful execution trajectories and reuse them in later tasks, but a stored trajectory rarely matches a new task exactly. The new…
- arXiv cs.AIagentsMemTrial: Learning When to Trust Memory in LLM Portfolio Agents
arXiv:2610.11732v2 Announce Type: replace Abstract: Large language model (LLM) agents for portfolio management learn from experience: they credit each experience in their memory with the outcome of the decisions that use…
- arXiv cs.AIagentsWhat Output-Only Review Cannot Verify: Study Contracts for Research Agents
arXiv:2610.11754v1 Announce Type: new Abstract: Some defects in an AI-generated study can be identified from its artifacts; others require knowledge of what was approved before execution. We propose study contracts that…
- arXiv cs.AIagentsSafe Actions Alone Do Not Ensure Safe Agents: Identifying Unfulfilled Obligations with Guard Models
arXiv:2610.11773v3 Announce Type: replace Abstract: Guard models are increasingly used to safeguard LLM-based agents, primarily by identifying actions that agents are forbidden to perform. However, identifying forbidden…