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DuoMind: Enabling Distributed Multi-Robot Coordination with Semantic Communication

Vision-language models (VLMs) and vision-language-action models (VLAs) have recently driven rapid progress in general-purpose robots, yet most progress has focused on single-robot settings. Extending these capabilities to multi-robot systems remains challenging because robots must coordinate long-horizon behaviors while maintaining reliable, fine-grained execution. We introduce DuoMind, a…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

Read the original at arxiv.org →

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Opus 5.5 loves to tell you ‘this matters’ (and other AI writing tells)

Opus 5.5’s biggest tell is the word “dependable,” which pops up 23 times more often than in human samples.

  • "Dependable" appears 23 times more often in Claude Opus 5.5's writing than in humans
  • "This matters" occurs 116 times more frequently in Opus 5.5 than in human writing
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I Built a Village of Six Agents You Can Actually Inspect

An agent claims a task. Another agent needs the same resources. A third is resting. Who gets the job, and can you explain the decision afterward?

  • Six agents work together in inspectable simulation game Settlement.
  • Agents assigned tasks, coordinate resources, and reassess as needed.
  • Inspector feature provides visibility into jobs, spending limits, and agent memories.

An Analytics Agent's Permissions Should Survive a Bad Prompt

An analytics agent receives a hostile instruction: return every customer's unmasked payment identifier. The key question is what the system permits that agent to read—even if the model decides to…

  • Agent operates under service principal with Unity Catalog permissions
  • Permissions depend on correctly configured identities, grants, masks, filters
  • Testing protected tables under actual identity ensures thorough access control

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