AI news archive.
4,965 articles filed under Agents, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsAutoResearch: Insight In, Hallucination Out
arXiv:2608.17906v4 Announce Type: replace Abstract: Autonomous research systems are increasingly capable of executing long research workflows, yet automation alone does not ensure that the resulting process remains scien…
- arXiv cs.AIagentsAtria Dawn: The Dawn of Agentic Superintelligence
arXiv:2609.15818v2 Announce Type: replace Abstract: As AI agents become participants in the development of their successors, they reshape both the production of intelligence and the role of human researchers. We introduc…
- arXiv cs.AIagentsBuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software
arXiv:2509.25248v2 Announce Type: replace-cross Abstract: Automatically compiling open-source software (OSS) projects is a vital, labor-intensive, and complex task, which makes it a good challenge for LLM Agents. Existin…
- arXiv cs.AIagentsCommunication and Verification in LLM Agents towards Collaboration under Information Asymmetry
arXiv:2510.25595v2 Announce Type: replace-cross Abstract: While Large Language Model (LLM) agents are often approached from the angle of action planning/generation to accomplish a goal (e.g., given by language descriptio…
- arXiv cs.AIagentsMAS-Shield: A Defense Framework for Secure and Efficient LLM MAS
arXiv:2511.22924v3 Announce Type: replace-cross Abstract: Large Language Model (LLM)-based Multi-Agent Systems (MAS) are susceptible to linguistic attacks that can trigger cascading failures across the network. Existing…
- arXiv cs.AIagentsVLM-CAD: VLM-Optimized Collaborative Agent Design Workflow for Analog Circuit Sizing
arXiv:2601.07315v5 Announce Type: replace-cross Abstract: Vision Language Models (VLMs) have demonstrated remarkable potential in multimodal reasoning. However, they can have spatial blindness and logical hallucinations…
- arXiv cs.AIagentsStarVLA-$\alpha$: Reducing Complexity in Vision-Language-Action Systems
arXiv:2604.11757v2 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) models have recently emerged as a promising paradigm for building general-purpose robotic agents. However, the VLA landscape remains…
- arXiv cs.AIagentsWhen Retrieval Metrics Mislead: Measuring Policy Signal in Long-Horizon Tool-Use Agents
arXiv:2606.23937v2 Announce Type: replace-cross Abstract: Exact-match retrieval recall is often used as a proxy for whether a retriever supplies useful policy context to a downstream decision model. We test this proxy fo…
- arXiv cs.AIagentsSelf-State Attacks on Self-Hosted AI Agents: How Far Can OS Defenses Go?
arXiv:2607.17986v2 Announce Type: replace-cross Abstract: Self-hosted AI agents maintain persistent memory, instructions, and configuration that influence their future behavior. If an agent is compromised, an attacker ca…
- arXiv cs.AIagentsTeach and Grow: An Agent-Centered Architecture for General Robot Learning
arXiv:2608.17209v3 Announce Type: replace-cross Abstract: Vision-language-action (VLA) and world-action models typically absorb unfamiliar manipulation tasks through additional robot data collection and policy optimizati…
- arXiv cs.AIagentsSpending Scarce Confirmatory PET Measurements: Target-Aligned Validation in A4/LEARN
arXiv:2608.22223v3 Announce Type: replace-cross Abstract: Anti-amyloid therapies and blood-based biomarkers are changing Alzheimer disease workups into a two-stage measurement workflow: screen broadly with cheaper inform…
- arXiv cs.AIagentsEvaluating Deep-Search Agents under Hierarchical Web Evidence Poisoning
arXiv:2609.06027v2 Announce Type: replace-cross Abstract: Search-augmented LLM agents are increasingly used for consumer decisions, making them vulnerable to Generative Engine Optimization (GEO) poisoning. Existing bench…
- arXiv cs.AIagentsNo-Box Vulnerability Analysis: Description-only Detection of Indirect Prompt Injection Vulnerabilities in MCP Servers
arXiv:2609.10854v2 Announce Type: replace-cross Abstract: Conventional vulnerability analysis relies on either system access or dynamic interaction, all of which may be unavailable to third-party analysts auditing closed…
- SiliconANGLE AIagentsGoogle expands CC into a shared AI agent for up to six family members
Google LLC today opened its experimental artificial intelligence agent CC to families, with as many as six people in a household able to share one. Each member picks what the agent is allowed to see, and CC sorts through…
- 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.
- SiliconANGLE AIagentsAI agents erase the paper trail, reshaping audit assurance
Enterprise audit teams are finding that the evidence trail they depend on does not survive contact with AI agents. Financial and operational data still sits across NetSuite, human resources platforms and data lakes, but…
- 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 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…
- AWS Machine Learning BlogagentsReduce time-to-hire for quality candidates with AI-powered Amazon Connect Talent
Amazon Connect Talent is an AI hiring solution built for talent acquisition leaders managing scaled hiring. It delivers AI-led interviews, data-driven assessments, and consistent evaluation, helping recruiters identify s…
- TechRadar AIagentsTrusted measurement in the era of autonomous operations
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.
- 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...
- 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…
- 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.
- OpenAI NewsagentsHow Cooley is accelerating IPO work with ChatGPT
Cooley built GO Public with ChatGPT Work to bring intelligence to the IPO process, helping lawyers surface issues earlier and focus judgment where it matters most.
- 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.
- 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:2609.17885v2 Announce Type: replace 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…
- arXiv cs.AIagentsCollaborative Memory for Multi-Agent VLM Systems
arXiv:2609.17921v2 Announce Type: replace Abstract: Vision-language model (VLM) agents combine specialized perception, tools, and reasoning to address complex visual tasks. In multi-agent settings, different agents inspe…
- 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:2609.18366v3 Announce Type: replace 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…
- 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…