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Watch, Infer, Coordinate: Inferring Robot Partner Constraints for Zero-Shot Coordination

Robots operating in the physical world will increasingly need to coordinate with other robots, particularly in manipulation tasks where an object may be too large or heavy for a single robot to carry alone. Physical limitations caused by hardware degradation or actuator faults can restrict the actions a robot can reliably execute, yet these limitations may be unknown to its partner. We study…

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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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

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.

I gave my coding agent a sense of taste. It picks restaurants from my music.

My coding agent can refactor a thousand lines without breaking a sweat, but ask it "where should I take a date Friday night" and it's useless. It knows my code. It knows nothing about my taste.

  • Qloo coding agent gains taste sense
  • Qloo Taste API connects 250M cultural entities
  • Agent recommends restaurants based on music preferences

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