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SWARM: System-Wide Assessment of Risk in Multi-agent systems
Discovered via agent-topic:ai-agent and last synced 4mo ago.
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Check the source repository for the latest setup steps.
Limited
No
Description
MIT
Varies
Behavior
SWARM
METR
Benchmark suites
Description
None
> **Tip for Colab users:** All notebooks with a Colab badge auto-detect Colab and install SWARM from GitHub. For scripts without a notebook, add `!pip install swarm-safety` in the first cell. ## Core Concepts ### Soft Probabilistic Labels Instead of binary labels (good/bad), interactions carry a probability `p = P(v = +1)` representing the likelihood of a beneficial outcome: 1. **Proxy signals** are combined into a raw score `v_hat in [-1, +1]` 2. **Calibrated sigmoid** converts to probability: `p = 1 / (1 + exp(-k * v_hat))` ### Four Key Metrics
Interpretation
Yes