Teaching AI systems to walk requires detailed specifications unlike how children learn through observation and trial-and-error.
AI systems operate based on explicit programming, while humans learn through unconscious adaptation, highlighting a fundamental difference in intelligence operation.
Humans value diversity and unpredictability, but AI systems are expected to be logical and predictable, posing a unique challenge in how they learn and generate outputs.
The central dilemma lies in managing AI's capabilities while understanding their differences from human learning processes, requiring careful oversight and responsible design of their use.