Backend
How a group that cannot communicate knows itself by its enemy
arXiv eess.SY0 views
arXiv:2610.40835v1 Announce Type: cross Abstract: Teams that cannot communicate seem stuck with what each member sees. We show that their opponent can tell them the rest. Silent hunters, jammed robots and traders who never meet all face an adversary that reacts to the group as a whole; every member can read that reaction, a tell, and learn what no member knows alone. One tell can do the work of a message from every member. The adversary would rather hide, but hiding interferes with its own task, and a team that commits in advance to how it will respond decides how much hiding is worth. A committed team never loses when its opponent cares more about its own goals, and does as well as a fully informed team exactly when the opponent's stake outweighs any gain from lying. Below that point the team learns more by trusting less: in a solved Gaussian model it obtains the truth by promising not to use all of it and keeps the cost the opponent would have paid to conceal; an exact test decides when this holds in finite games. How a team spreads its trust matters too. A lone uninformed member with a full-support prior needs a private coin, but with additive squared-error losses two interchangeable members who respond differently replace it, and a small discount on trust insures against misjudging the enemy. Information, on this view, is not only gathered or aggregated; it is produced by how a team commits to respond.
Source:https://arxiv.org/abs/2610.40835PreviousMeasurement-Based Assessment of Decadal Inertia and Primary Frequency Response Trends in the US Eastern InterconnectionNextAddendum to "Optimal Steering of a Linear Stochastic System to a Final Probability Distribution, Part II"
Related posts
Migration Diary: Audit the Tool-Tied Leftovers Before You Switch AI Coding Hosts
0dev.to AI
The Quota Wall Take-Home: Grade How a Candidate's Agent Fails at the Budget Boundary
0dev.to AI
33% to 83%: Measuring whether agent memory works
0dev.to AI

The founder's AI accountability checklist (free downloadable sheet)
0dev.to AI

DynamoDB rate limiting: a token bucket for Lambda
0dev.to AWS
Terraform state gotchas I wish someone had told me on day one
0dev.to AWS