Portable evaluation bundles for agents and agent-shaped workflows: bounded, reproducible, regression-aware proof surfaces for quality claims.
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Updated
Sep 22, 2026 - Python
Portable evaluation bundles for agents and agent-shaped workflows: bounded, reproducible, regression-aware proof surfaces for quality claims.
Longitudinal benchmark for measuring whether AI agents learn from repeated failure and feedback.
Consultation response on the Microsoft AI Code of Conduct: model status, transparency, stewardship, and trust through disclosure and repair.
Machine-readable derivative of “Staying Capable in a World That Pushes Back”; cite DOI 10.5281/zenodo.23292386.
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