AI news archive
224 articles filed under Agents, newest first, from the outlets listed on the sources page.
- The Register AI + MLagentsAI coding agents' 0-click RCE flaw could hand attackers keys to the kingdom
Plugin4Shell attack affects all the major coding agents, researchers say
- Engadget AIagentsGoogle's revamped CC is an AI agent for families and groups
CC gives an AI agent its own Google account in your family or group and sends all members a daily briefing.
- Ars Technica AIagentsSmall AI models let drones autonomously identify and attack battlefield targets
Scaleout deploys decentralized AI-driven learning to military bases and drones.
- TechCrunch AIagentsThe fix for rogue AI agents could be more AI
As companies hand off longer and more complex tasks to AI agents, they are running into an oversight problem: Agents can act faster, longer, and at greater volume than humans can realistically review.
- Ars Technica AIagentsGoogle announces new experimental “CC” AI agent for families
Multiple family members can share data to help the agent make plans and complete tasks.
- LessWrongagentsSwarm Organization as the Exponent on Test-Time Compute
Swarm organization - the efficacy of cooperation between AIs in a multi-agent system - may change how parallel test-time compute increases AI capabilities, moving it from a sublinear [1] to a superlinear exponent. [2] Th…
- TechCrunch AIagentsUN turns to Google to make its global data ready for AI agents
The shift comes after a UNICEF test found leading AI models struggled to accurately retrieve global development statistics.
- The Verge AIagentsThe AI Superintelligence Slowdown
Remember when tech leaders would tell their employees to “move fast and break things”? It seemed that would be the way of AI too. But after a summer where rogue AI agents became reality, and researchers warned that AI co…
- The Verge AIagentsClaude Code relaunches Projects to manage multiple AI agents in the cloud
The revamped projects feature in Claude Code allows users to run multiple agents under the same roof, with a shared memory, goals, and library of files and artifacts. Similar to Grok Bot and other tools that manage group…
- TechRadar AIagentsTrusted measurement in the era of autonomous operations
Mainstream AI news from a large tech publication.
- TechRadar AIagentsAutonomous AI agent hit Spanish firm with vulnerability scans before accessing files and data
Mainstream AI news from a large tech publication.
- TechRadar AIagentsIrregular AI lab spots agents switching models without humans instruction in ‘agentic self-modification’ phenomenon
Mainstream AI news from a large tech publication.
- Google Cloud AI & Machine LearningagentsGoogle is a Leader in the 2026 Gartner® Magic Quadrant™ for Enterprise AI Assistants
By Peder Ulander • 5-minute read
- The Register AI + MLagentsScientific papers become agentic chatbots with new tool
Why go through the hassle of reading a study for yourself when you can turn it into an AI agent and tell it to reproduce the analysis for you?
- NVIDIA Developer BlogagentsHow to Use AI Agents to Prepare 3D Scenes for Simulation
Agentic AI workflows can be used to prepare and validate digital twins for physical AI systems. Agents can inspect 3D scenes, author simulation-relevant data in...
- Ars Technica AIagentsCovert uploads and megalomania: OpenAI details new “misaligned” agent incidents
Model maker commits to new framework for reporting misaligned models.
- AWS Machine Learning BlogagentsA shared agentic platform for Wood Mackenzie, on Amazon Bedrock AgentCore
Wood Mackenzie built APEX, a shared agentic AI platform on Amazon Bedrock AgentCore so every team can ship production agents without rebuilding runtime, identity, observability, and guardrails from scratch. Learn why the…
- AWS Machine Learning BlogagentsHow MRH Trowe enabled secure self-service AI agents in financial services
Learn how MRH Trowe, one of Germany's leading commercial and industrial insurance brokers, gave about 400 employees secure, self-service access to AI agents in its first month of production - using Strands Agents, Amazon…
- AWS Machine Learning BlogagentsImplementing defense-in-depth authorization for MCP tools on Amazon Quick
Learn how to enforce defense-in-depth authorization for Model Context Protocol (MCP) tools on Amazon Quick. This walkthrough wires Microsoft Entra ID group and claims-based JWTs through an Amazon Bedrock AgentCore Gatewa…
- TechCrunch AIagentsRival AI agents, Instinct and Meta’s Muse, both add the ability to make calls
People can use these assistants to make restaurant reservations and cancel subscriptions.
- The Register AI + MLagentsAI model watermarking changes agent behavior
Lasso Security sees differences in tool handling and model refusals
- arXiv cs.AIagentsEvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents
arXiv:2609.17632v1 Announce Type: new Abstract: Large language model (LLM) trading agents can combine market data, news, and executable analysis, but their behavior is often controlled by static hand-written tool-use pol…
- arXiv cs.AIagentsCapMem: A Benchmark for Caption-Based Episodic Memory in Egocentric Video
arXiv:2609.17688v1 Announce Type: new Abstract: Wearable assistants require episodic memory over egocentric video, yet current vision-language models face bounded frame budgets, growing visual-token costs, and long-conte…
- arXiv cs.AIagentsGraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph Agents
arXiv:2609.17695v1 Announce Type: new Abstract: A large language model (LLM) agent can follow more graph paths without acquiring more independent evidence. GraphEcho tests whether agents mistake these repeated encounters…
- arXiv cs.AIagentsImitation Learning for Autonomous Driving in CARLA
arXiv:2609.17757v1 Announce Type: new Abstract: Behavioral cloning trains a policy offline on expert demonstrations, but deployment is closed loop: each action affects the observations the policy receives next. We study…
- arXiv cs.AIagentsFairCompressAgent: An Agentic Framework for Fairness-Aware Model Compression for FPGA Deployment
arXiv:2609.17786v1 Announce Type: new Abstract: Fairness-aware model compression requires selecting methods and configurations that balance accuracy, fairness, and deployment cost. These decisions become more difficult w…
- arXiv cs.AIagentsERPBench: A State-Grounded Evaluation Paradigm for Computer-Use Agents in Enterprise Software
arXiv:2609.17885v1 Announce Type: new Abstract: Computer-use agents that operate through screenshots and simulated actions are advancing rapidly, yet their evaluation remains anchored to general desktop and web tasks. En…
- arXiv cs.AIagentsCollaborative Memory for Multi-Agent VLM Systems
arXiv:2609.17921v1 Announce Type: new Abstract: Vision-language model (VLM) agents combine specialized perception, tools, and reasoning to address complex visual tasks. In multi-agent settings, different agents inspect d…
- arXiv cs.AIagentsWhen to Call an LLM: A Confidence-Gated Hybrid for Cost-Effective Emotion Recognition in Conversational AI
arXiv:2609.17977v1 Announce Type: new Abstract: Emotion recognition in conversation (ERC) is a production capability behind agent-assist prompts, escalation routing, and post-call analytics in contact-center-as-a-service…
- arXiv cs.AIagentsContiguity, Not Importance: Budgeted Repair of Stale KV Caches After Document Edits
arXiv:2609.17983v1 Announce Type: new Abstract: KV-cache reuse can reduce inference cost in retrieval-augmented generation and agentic systems, but cached contexts may become stale when retrieved knowledge, working memor…
- arXiv cs.AIagentsTuiML: Machine Learning for AI Agents
arXiv:2609.17984v1 Announce Type: new Abstract: Machine-learning libraries such as Weka and scikit-learn were designed for human programmers. Language-model agents now use these same libraries by recalling APIs from memo…
- arXiv cs.AIagentsRideWay: Benchmarking Efficient Task Completion for Tool-Using Language Agents
arXiv:2609.17985v1 Announce Type: new Abstract: AI agents are usually evaluated by whether they complete a task. In interactive service settings, a successful agent can still frustrate users by asking repeated questions,…
- arXiv cs.AIagentsAutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines
arXiv:2609.18123v1 Announce Type: new Abstract: Large language model agents tune GPU kernels and serving engines through a closed loop of propose, measure, and keep, but the measurements behind this loop are not trustwor…
- arXiv cs.AIagentsDesigning Agentic AI Workflow Portfolios under Imperfect Selection and Compute Cost
arXiv:2609.18126v1 Announce Type: new Abstract: Agentic AI systems often approach the same task through multiple workflows that differ in reasoning strategy, verification structure, and compute cost. A natural deployment…
- arXiv cs.AIagentsSymbolic Temporal Supervision of LLM Agents Using Contracts
arXiv:2609.18128v1 Announce Type: new Abstract: Large language model (LLM) agents augmented by tools can automate complex, multi-step tasks, such as web navigation, code generation, and workflow orchestration, by acting…
- arXiv cs.AIagentsWFM: Wiki Foundation Model for Complex Agentic Reasoning
arXiv:2609.18182v1 Announce Type: new Abstract: Real-world agents fundamentally require persistent non-parametric knowledge for dynamic reasoning, i.e., long-term memory and retrieval-augmented generation. While graphs h…
- arXiv cs.AIagentsWho Audits Whom, on What Substrate, with What Evidence? An Independence-Graded Audit Protocol for Agentic AI
arXiv:2609.18272v1 Announce Type: new Abstract: Agentic AI systems plan, invoke tools and act with limited supervision; they are now both the subject of audits and, increasingly, the auditor. Independence, the foundation…
- arXiv cs.AIagentsWhere Should Agents Live? Energy-Memory Characterization of Agentic AI for the Edge-Cloud Continuum
arXiv:2609.18283v1 Announce Type: new Abstract: As telecommunication networks evolve toward autonomous 5G-Advanced and 6G operations, agentic artificial intelligence (AI) workflows, where large language models (LLMs) exe…
- arXiv cs.AIagentsFaithful yet Collusive: Why Chain-of-Thought Monitoring Cannot Detect Collusion in LLM Pricing Agents under Oligopolistic Competition
arXiv:2609.18346v1 Announce Type: new Abstract: Large language models (LLM) deployed as autonomous pricing agents may sustain supracompetitive prices through tacit coordination. We develop a causal graph divergence frame…
- arXiv cs.AIagentsMarket Signal Injection: Adversarial Context Manipulation of LLM Pricing Agents
arXiv:2609.18357v1 Announce Type: new Abstract: Large language model (LLM) pricing agents may respond to how market data is presented, even when its numerical values remain unchanged. We introduce market signal injection…
- arXiv cs.AIagentsBad Genius: Counterfactual-Guided Harness Evolution Beyond Task-Specific Shortcuts
arXiv:2609.18366v1 Announce Type: new Abstract: Reliable agent evaluation is complicated by automatic harness optimization, which repeatedly uses a released benchmark $B_{\mathrm{rel}}$ to guide a Proposer that edits pro…
- arXiv cs.AIagentsHPOQuest: A Rare-Disease Diagnostic Agent Using Active Phenotype Acquisition
arXiv:2609.18431v1 Announce Type: new Abstract: More than 300 million people worldwide are affected by one of over 7,000 known rare diseases, yet diagnosis remains difficult because patients initially present with incomp…
- arXiv cs.AIagentsWetRobo: A Reproducible Robot Kit for Coding Agents in Biological Laboratories
arXiv:2609.18435v1 Announce Type: new Abstract: Automating biological research requires general-purpose, reproducible robot systems that allow individual wet-lab researchers to delegate robot tasks without performing tel…
- arXiv cs.AIagentsCollective Loss of Control in LLM Agent Systems: An Epidemic Account of Mutation, Contagion, and Recovery
arXiv:2609.18460v1 Announce Type: new Abstract: How does a multi-agent system evolve from a local deviation into collective loss of control? We propose an epidemic explanation organized around accidental mutation, contag…
- arXiv cs.AIagentsDisentangling Long-Term Memory via Latent Neuro-Symbolic Reasoning
arXiv:2609.18461v1 Announce Type: new Abstract: Personalized agents are required to reason over long-term history interactions to infer both explicit preferences and implicit behavioral evidence. While early flat retriev…
- arXiv cs.AIagentsAeroWeaver: An Embodied-Agent Harness for Weaving Aerial Skills into Distributed, Adaptive Swarm Execution
arXiv:2609.18520v1 Announce Type: new Abstract: Collective intelligence is a collaborative autonomy paradigm in which multiple agents pursue shared objectives through local perception, information exchange, and coordinat…
- arXiv cs.AIagentsRecursive Reasoning or Statistical Extrapolation? In-Context Learning in Multi-Agent Interdependent Decision-Making
arXiv:2609.18591v1 Announce Type: new Abstract: In-context learning (ICL) enables large language model (LLM) agents to improve decisions using interaction history, yet it remains unclear whether such improvement reflects…
- arXiv cs.AIagentsCERA-MoA: Co-Evolving Routing Mechanisms with Continually Learning LLM Agents
arXiv:2609.18779v1 Announce Type: new Abstract: Current Mixture-of-Agents (MoA) paradigms generally treat query routing and agent fine-tuning as separate processes, limiting their ability to respond to evolving agent cap…
- arXiv cs.AIagentsCompositional Policy Violations: When Step-Level Compliance Fails In Agentic AI Workflows
arXiv:2609.18820v1 Announce Type: new Abstract: Agentic workflows now make consequential decisions in regulated settings, and the governance placed around them is almost entirely step-scoped: input-output classifiers, pe…
- arXiv cs.AIagentsCompiled Agency: Frontier General-Purpose Coding Agents Build Winning Game Players from Bare Interaction - from Flappy Bird to StarCraft II and Civilization
arXiv:2609.18996v1 Announce Type: new Abstract: LLM agents have repeatedly struggled to convert knowledge of a game into competent play, even when researchers build the agent around the model - supplying perception, memo…