AGENT LABS: WORKLOAD-HARNESS FIT

Summary from the TLDR AI newsletter

Workloads vary by volume, value, verification property, time horizons, and other dimensions. This affects how agent labs focus their research efforts. The taxonomy of workloads governs which end markets justify training versus agent engineering. Labs also need to know what it actually costs to execute.