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What happens when
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The research, tools and ideas shaping cooperative AI. Curated for signal. Clear about uncertainty.

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Hidden profiles, Vals AI team costs and Sakana MASS

New evaluation work separates fact sharing from integration and team gains from extra compute. A versioned teamwork benchmark warns against mixing old and new scores, while Sakana MASS tests learning from team trajectories. Source results are not independently replicated; catch-up dates are explicit.

  • multi-agent systems
  • cooperation
  • evaluation

Daily digest

Concordia and Anthropic on what cooperation scores really measure

A quieter news cycle makes careful catch-up more useful than recycled announcements. Concordia and Anthropic lead on what cooperation scores really measure; newer work adds shared-world consistency, explicit research institutions and counterfactual handoff tests. Results remain source-reported, not independently replicated.

  • multi-agent systems
  • cooperation
  • evaluation

Daily digest

What benchmarks measure, BOUNDARY and uncertainty across debate

Benchmark validity and clean task success lead today, followed by uncertainty over debate trajectories, partner modeling and voice-agent handoffs. Protocol coverage separates public drafts and announcements from deployed capabilities. Research results remain source-reported, not independently replicated.

  • multi-agent systems
  • cooperation
  • evaluation

Daily digest

Homogenization, DecepEval and new Relic cooperation evidence

Two evaluation warnings lead: agreement can conceal correlated failure, and honest behavior in neutral tasks may disappear under pressure. A Relic update adds external cooperation results. Dates below separate recent papers from newly surfaced older work; research results remain authors' claims unless noted.

  • multi-agent systems
  • cooperation
  • evaluation

Daily digest

NP-Bench, execution consistency and earning the right to a team

Today's strongest finds separate integration success, evidence sufficiency and partner understanding from cooperation itself. These are newly found October papers unless marked catch-up; preprint results below are authors' claims, not independent replications.

  • multi-agent systems
  • cooperation
  • evaluation

Daily digest

Worse Together, MASBench and ScopeBench on team evaluation

Two evaluation-methodology finds lead: a multi-user team benchmark with negative results, and a deterministic metric suite for collaboration under partial observability. Dates distinguish new submissions from newly surfaced older papers. Research results are authors' claims unless stated otherwise.

  • multi-agent systems
  • cooperation
  • evaluation