Part 13/15:
He explained that humans excel at recognizing and reacting to such diverse energy and interactions instinctively—something machines still struggle with. Neural nets, modeled after human brains, can internalize vast experience and make instant decisions based on recognizing patterns familiar from past encounters, even when faced with novel situations.
This complex human-like understanding underscores why real-world data collection remains crucial. The instances that truly test the AI’s robustness are spontaneous, unpredictable events that simulation cannot fully replicate.