AI news archive.
4,966 articles filed under Agents, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsOrganizational Principles Enable Collective Intelligence in Embodied AI
arXiv:2609.11737v2 Announce Type: replace-cross Abstract: Collective intelligence depends not only on the capabilities of individual members, but also on how those members are organized. Yet artificial multi-agent system…
- arXiv cs.AIagentsWhat is the Difference Between Me and You? Benchmarking the Quality Gap Between Human-Written and AI-Generated Code
arXiv:2609.12708v2 Announce Type: replace-cross Abstract: AI coding assistants are becoming co-authors of production software, yet their evaluation centers on functional correctness, leaving open whether their code diffe…
- SiliconANGLE AIagentsAmazon blocks Meta’s Muse agent from shopping on users’ behalf
Amazon.com Inc. has blocked Meta Platforms Inc.’s Muse artificial intelligence agent from accessing its e-commerce marketplace. The cloud and online retail giant notified users of the move late Sunday. Meta made Muse ava…
- NVIDIA Developer BlogagentsHow to Evaluate AI Agents From Tool Calls to Task Completion
When you ship an AI agent, the key question is whether it can execute a chain of work across dozens of sequential tool calls against a live environment, and...
- LessWrongagentsSwarm Scaling
Just how powerful are large swarms of AI agents? And how do their powers scale as more and more agents are added to the swarm? We’ve seen two large and extremely capable swarms from OpenAI in the last few months: 1,200 a…
- TechCrunch AIagentsMeta’s Muse is outpacing ChatGPT’s early mobile launch
Meta’s new AI agent Muse has racked up more downloads and daily active users in the U.S. and Canada than ChatGPT did over the same period after its mobile debut, according to new estimates from Appfigures.
- TechCrunch AIagentsMeta’s AI agent has been blocked from using Amazon.com
Amazon has its own cohort of foundation models, along with one of the most popular inference platforms on the internet. As long as they're under no legal obligation to open the doors to Muse, why would they?
- AWS Machine Learning BlogagentsHow Benchling secured multi-tenant AI agents with Amazon Bedrock AgentCore
Learn how Benchling built a defense-in-depth security architecture to run untrusted, AI agent-generated scientific code across thousands of life sciences tenants using Amazon Bedrock AgentCore Code Interpreter in VPC mod…
- SiliconANGLE AIagentsOn theCUBE Pod: Dreamforce unveils the agentic dream, and Nscale files to go public
Salesforce Inc. keeps putting all of its eggs in the agent basket — but the strategy appears to be paying off so far. At Dreamforce 2026, Marc Benioff, chief executive officer of Salesforce, bantered with Nvidia Corp. CE…
- SiliconANGLE AIagentsAWS debuts Strands Harness, an open-source AI agent that can be deployed in any environment
Amazon Web Services Inc. says it’s trying to help developers solve the problem of scaling artificial intelligence agents to cloud environments with the launch of Strands Harness, an open-source agent that can help them b…
- The Register AI + MLagentsAWS bolts together open source agent harness, says it sips fewer tokens than rivals
Strands claims near-parity with Claude Code and Codex on benchmarks, though it only raced coding agents and marked its own homework
- The DecoderagentsAmazon blocks Meta's AI agent Muse from online shopping
Amazon has blocked Meta's new AI agent Muse from shopping on Amazon.com. The article Amazon blocks Meta's AI agent Muse from online shopping appeared first on The Decoder .
- The Register AI + MLagentsAmazon shows Meta's Muse AI shopping agent the door
Retailer cites credentials and transparency concerns while guarding its lucrative customer journey
- TechRadar AIagentsWhere should AI agents stop and human judgement begin?
Mainstream AI news from a large tech publication.
- The Verge AIagentsAmazon blocks Meta’s Muse AI agent
Meta's Muse AI agent has been blocked from shopping Amazon on behalf of its users, GeekWire reports. A popup message started appearing on Sunday for Muse users saying that "continued access by an unauthorized AI agent vi…
- arXiv cs.AIagentsCan Agents Design Better Chips with a Higher Level Abstraction?
arXiv:2609.21157v1 Announce Type: new Abstract: Large Language Model (LLM) agents are increasingly being explored for chip design, but most existing approaches operate directly at RTL. We ask whether agents can design be…
- arXiv cs.AIagentsSpecOpt: Contact-Diff Reasoning for Agentic Molecule Optimization Toward Binding Specificity
arXiv:2609.21165v1 Announce Type: new Abstract: Off-target protein binding is a major source of adverse effects for small-molecule drugs, yet most structure-based molecular design methods focus on generating selective co…
- arXiv cs.AIagentsAI-GRACE: A Use-Case Operationalization Framework for Agentic AI: From Organizational Objectives and Obligations to Deployment Capabilities and Architecture
arXiv:2609.21192v1 Announce Type: new Abstract: Organizations deploying agentic artificial intelligence must determine more than whether a model is trustworthy; they must establish what to validate, control, and observe…
- arXiv cs.AIagentsEfficient Benchmarking in Production: A Study of an Evolving LLM Agent
arXiv:2609.21267v1 Announce Type: new Abstract: Production LLM agents are evaluated repeatedly as they evolve, but full agent benchmarks are costly to rerun. We study efficient recurring evaluation for a production analy…
- arXiv cs.AIagentsGameASG-Bench: Benchmarking Autonomous Software Generation for Game Development
arXiv:2609.21293v1 Announce Type: new Abstract: Autonomous software generation (ASG) aims to turn human requirements into executable applications, but delivering these applications does not necessarily establish that the…
- arXiv cs.AIagentsLEGIT: Credentialing Protocol for Trustworthy AI Agent Marketplaces
arXiv:2609.21325v1 Announce Type: new Abstract: Agentic marketplaces are emerging where AI agents with varying capabilities autonomously complete specialized tasks for buyers. A major challenge of such marketplaces is th…
- arXiv cs.AIagentsDENSE: Distilling Agent Trajectories into Evidence-Grounded Shortcut Trees for Self-Refinement
arXiv:2609.21423v5 Announce Type: replace Abstract: Online agent deployments accumulate execution trajectories at massive scale and behavioral diversity, for which predefined annotation criteria hardly exist. Extracting…
- arXiv cs.AIagentsRisk-Aware Occupancy for Safety-Oriented End-to-End Autonomous Driving
arXiv:2609.21470v2 Announce Type: replace Abstract: Conventional end-to-end driving systems model the environment with sparse objects and lane elements. While efficient, this paradigm discards planning-critical informati…
- arXiv cs.AIagentsDriving on Registers, Reasoning on Risk: Risk-Aware Occupancy for Register-Based End-to-End Autonomous Driving
arXiv:2609.21486v1 Announce Type: new Abstract: Multimodal trajectory prediction improves behavioral coverage in end-to-end autonomous driving, but existing methods remain limited by sparse scene representations. Incompl…
- arXiv cs.AIagentsLearning-to-Optimize as the Missing Architectural Layer of AI-Native Networks
arXiv:2609.21519v1 Announce Type: new Abstract: Artificial Intelligence (AI) is becoming a fundamental design principle of future AI-native communication networks, enabling autonomous resource management, adaptive contro…
- arXiv cs.AIagentsWhat Should We Ask Next? Retrieval-Aware Question Learning for Interactive ReID
arXiv:2609.21924v2 Announce Type: replace Abstract: Interactive retrieval with partial evidence constitutes a sequential information-acquisition problem: an agent must choose questions that acquire useful evidence for th…
- arXiv cs.AIagentsAutoViewMem: Self-Configuring Orthogonal Views for Conversational Long-Term Memory
arXiv:2609.21940v1 Announce Type: new Abstract: Long-term memory is essential for large language model (LLM) agents to maintain consistency and personalization over extended interactions. Existing memory systems typicall…
- arXiv cs.AIagentsCodeMidas: Scaling Agentic Coding RL Environments from Code Itself
arXiv:2609.22068v1 Announce Type: new Abstract: Training capable coding agents via reinforcement learning (RL) requires diverse tasks with reliable verifiers. Open-source codebases offer a rich source of such tasks, whil…
- arXiv cs.AIagentsDesigner-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic Design
arXiv:2609.22086v1 Announce Type: new Abstract: Professional graphic design is a long-horizon agentic task in which structured, editable artifacts emerge from many interdependent actions, yet outcomes admit no reliable p…
- arXiv cs.AIagentsBI-Agent and BI-Bench: Towards Automating End-to-End Business Intelligence
arXiv:2609.20886v1 Announce Type: cross Abstract: Business intelligence (BI) is a cornerstone of enterprise decision-making and is widely used by enterprise users in software such as Power BI and Tableau. In traditional…
- arXiv cs.AIagentsScaling Discovery through Test-Time Communication
arXiv:2609.21032v1 Announce Type: cross Abstract: Science advances not in isolation but through collaboration, yet existing agentic systems capture little of this. Whether communicating agents help remains an open questi…
- arXiv cs.AIagentsSWE-Proof: Can Language Models Resolve Real-World Issues with Machine-Checked Proofs?
arXiv:2609.21190v2 Announce Type: replace-cross Abstract: Ensuring the correctness of LLM-generated code is a core challenge for modern software engineering. Benchmarks for agentic code generation check correctness with…
- arXiv cs.AIagentsVerify, Don't Trust: Agentic Model Development for Video Discovery Retrieval at Scale
arXiv:2609.21257v1 Announce Type: cross Abstract: Large language model (LLM) agents can propose, implement, and evaluate model changes. Autoresearch loops demonstrate this capability through minutes-scale iterations on a…
- arXiv cs.AIagentsAuthorization Revocation for Long-Running AI Agents: Root-Scoped Quiescence under Delegation and Asynchronous Execution
arXiv:2609.21284v1 Announce Type: cross Abstract: Long-running AI agents outlive initiating processes through credentials, delegated tasks, queues, callbacks, reservations, and provider-side operations. Cancellation, pro…
- arXiv cs.AIagentsFrom Memory to Behavior: A Behavior-Aware Role-Playing Framework for Social Media Influencers
arXiv:2609.21349v1 Announce Type: cross Abstract: Large language models have shown strong potential as role-playing agents for real individuals, yet faithful impersonating remains challenging. Existing in-context learnin…
- arXiv cs.AIagentsAgentVidBench: A Multi-Hop Video Question Answering Benchmark for Evaluating MLLM Agents
arXiv:2609.21386v1 Announce Type: cross Abstract: Comprehensive video understanding is crucial for advancing artificial intelligence toward the intricate dynamics of the physical world. While recent advances in Multimoda…
- arXiv cs.AIagentsGameLogicBench: Evaluating Coding Agents on Runtime Game Logic with Tick-Level State Assertions
arXiv:2609.21562v2 Announce Type: replace-cross Abstract: Coding agents can modify and test code across large software projects. Game development is a domain where agents must implement gameplay rules. A game can end in…
- arXiv cs.AIagentsCIPL: A Channel-Aware Framework for Recoverable Privacy Leakage in LLM Agents
arXiv:2609.21686v1 Announce Type: cross Abstract: Privacy leakage in LLM agents is commonly evaluated within individual components such as memory, retrieval, or tool-use pipelines, which makes it difficult to distinguish…
- arXiv cs.AIagentsAn Agentic Just-in-Time Adaptive Intervention System for Personalized Sleep Support: Proof-of-Concept Study with N of 1 Data
arXiv:2609.21805v1 Announce Type: cross Abstract: Background: Just-in-time adaptive interventions (JITAIs) can use behavioral data to adapt support to changing contexts, but many rely on predefined rules and manual confi…
- arXiv cs.AIagentsTouvigation: Embodied Adaptive Object Acquisition for Blind and Low-Vision Users in Unfamiliar Indoor Environments
arXiv:2609.21828v1 Announce Type: cross Abstract: Blind and low-vision users often face challenges when locating and physically acquiring objects in unfamiliar indoor environments. Existing vision-language-model-based as…
- arXiv cs.AIagentsDo Personality-Tuned LLMs Make Better Social Agents?
arXiv:2609.21857v1 Announce Type: cross Abstract: LLMs are increasingly used in social simulations for socially interactive agents and robots, offering more flexibility than rule-based systems. However, even though they…
- arXiv cs.AIagentsBayesian Belief Layer for Controllable Opinion Dynamics in LLM Agents
arXiv:2609.21997v2 Announce Type: replace-cross Abstract: LLM agents in social simulation revise their opinions implicitly, in context: how open an agent is to persuasion can neither be specified nor verified, and collec…
- arXiv cs.AIagentsValue-Sensitive Delegation in Everyday AI Agent Use: Evidence from OpenClaw
arXiv:2609.22067v1 Announce Type: cross Abstract: Users increasingly delegate work to autonomous AI agents, yet evaluations typically measure task completion rather than the values users prioritize. Using Value Sensitive…
- arXiv cs.AIagentsIntent-Governed Tool Authorization for AI Agents
arXiv:2606.22916v4 Announce Type: replace Abstract: Tool-using AI agents commonly operate under integration credentials whose static permissions exceed a user's current request. We present Intent-Governed Access Control…
- arXiv cs.AIagentsExplanation-Bound Tool Execution for AI Agents: Server-Verified Action Claims Without Trusting Model Rationales
arXiv:2607.25364v3 Announce Type: replace Abstract: Tool-using agents expose structured calls but commonly attach free-form rationales. Such rationales are neither authorization nor reliable introspection. We present Exp…
- arXiv cs.AIagentsPlanetary Prediction Engine: Autonomous Geospatial Prediction via Intelligent Data Selection and Foundation Model Embeddings
arXiv:2608.26088v3 Announce Type: replace Abstract: Addressing critical global challenges, from food security and disaster risk to disease outbreaks and socio-economic vulnerability, demands high-fidelity geospatial mode…
- arXiv cs.AIagentsMOSCOPT: Mixture-of-Skills Collective Optimization for LLM Agents
arXiv:2609.14399v2 Announce Type: replace Abstract: Natural language prompts and skills serve as the strategic backbone of LLM-based agents. Recent advances in prompt and skill optimization have achieved notable gains, y…
- arXiv cs.AIagentsRuntime Authorization for Resources Acquired by AI Agents
arXiv:2609.14744v2 Announce Type: replace Abstract: By acquiring compute, credentials, accounts, services, and other agents, autonomous AI agents can introduce new authority into a task. Payment, budget, OAuth, mandate,…
- arXiv cs.AIagentsBenchmarking Autonomous Driving Planners Across Leaderboards: A Unified CARLA-Based Evaluation
arXiv:2509.22754v2 Announce Type: replace-cross Abstract: Autonomous driving remains a highly active research domain that seeks to enable vehicles to perceive dynamic environments, predict the future trajectories of traf…
- arXiv cs.AIagentsHERMES: A Holistic End-to-End Risk-Aware Multimodal Embodied System with Vision-Language Models for Long-Tail Autonomous Driving
arXiv:2602.00993v3 Announce Type: replace-cross Abstract: End-to-end autonomous driving models increasingly benefit from large vision-language models for semantic understanding, yet safe and reliable planning under long-…