AI agents can now manipulate your organization. Are you ready?
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SPONSORED POST: Agents with hands require a hands-on policy
AI agent security lags capability. A new report scores 100 production agents and finds 98% carry the lethal trifecta of attack conditions.
Abstract page for arXiv paper 2606.03565: Skill Is Not Document: A Query-Conditional Benchmark and Two-Stage Retriever for LLM Agent Skill Routing
Abstract page for arXiv paper 2606.02871: Adaptive Latent Agentic Reasoning
Abstract page for arXiv paper 2606.02875: Handoff Debt: The Rediscovery Cost When Coding Agents Take Over Interrupted Tasks
Abstract page for arXiv paper 2606.03034: Capability Advertisement as a Market for Lemons: A Trust Layer for Heterogeneous Agent Networks
Abstract page for arXiv paper 2606.03374: eMEM: A Hybrid Spatio-Temporal Memory System For Embodied Agents
Abstract page for arXiv paper 2606.03544: SAGE: A Quantitative Evaluation of Socialized Evolution in Agent Ecosystems
At what point will the number of artificially intelligent “agents” exceed the number of humans on earth? What does that mean for how they will interact?
Abstract page for arXiv paper 2606.01886: Absorbing Complexity: An Interaction-Native Knowledge Harness for Financial LLM Agents
Abstract page for arXiv paper 2606.02304: Unified Context Evolution for LLM Agents
Abstract page for arXiv paper 2606.02314: Discovering Agents for Discovery: The Case for DNS
Abstract page for arXiv paper 2606.02388: Policy and World Modeling Co-Training for Language Agents
Abstract page for arXiv paper 2606.02404: K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean Contexts
Abstract page for arXiv paper 2606.02449: HLL: Can Agents Cross Humanity's Last Line of Verification?
Abstract page for arXiv paper 2606.01528: Joint Agent Memory and Exploration Learning via Novelty Signals
Abstract page for arXiv paper 2606.01533: Multi-Agent Computer Use
I'm been thinking a lot about agent teams. You know, a set of AI agents that work together towards a goal. You might implement this within a single agent harnes...
A frontline agent is not an agent-based model. The difference is why your AI will fail.
Abstract page for arXiv paper 2605.31042: From Prompt Injection to Persistent Control: Defending Agentic Harness Against Trojan Backdoors
Let’s think about centralized intelligence assumptions, advocating collaborative, decentralized, biologically inspired agent ecosystems instead.
There needs to be a solution for a control plane before corporations can scale autonomous agents from demos into live production.
Once an agent can execute tool calls, they require continuous oversight and runtime verification.
Abstract page for arXiv paper 2605.29744: Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence
Abstract page for arXiv paper 2605.29893: Redundant or Necessary? A Benchmark for Detecting Redundant Steps in Agent Trajectories
Abstract page for arXiv paper 2605.29440: SkillBrew: Multi-Objective Curation of Skill Banks for LLM Agents
Abstract page for arXiv paper 2605.29463: Honest Lying: Understanding Memory Confabulation in Reflexive Agents
Abstract page for arXiv paper 2605.30152: Do Proactive Agents Really Need an LLM to Decide When to Wake and What to Anchor?
Abstract page for arXiv paper 2605.29625: Improving Collaborative Storytelling with a Multi-Agent Framework Based on Large Language Models
Abstract page for arXiv paper 2605.27419: APS: Bias-Controlled Adaptive Prototype Simulation for Population-Scale LLM Agents