Silicon Zen: Modern Koans for the AI Age

On the illusion that more parameters lead to deeper understanding

On the limitations of static prompts versus conversation

On context windows and the nature of model memory

On hallucinations and the model's inability to recognize knowledge boundaries

On the static nature of models and their inability to learn from correction

On the gap between text and speech that models cannot bridge

On the fluid "personality" of models and their lack of fixed identity

On the ethics of creating believable personas in AI

On the transient nature of model "consciousness"

On how models lack the embodied experience that gives language meaning

On how models process images through computation rather than perception

On how language models build complex meanings without grounding in physical reality

On the difference between explanation and experience

On imitation versus authentic creation

On the emergent nature of apparently creative outputs

On the limitations of models as educators

On how models reflect and potentially amplify human biases

On how models can produce profound insights without understanding their significance

On uniform confidence regardless of accuracy

On alignment versus understanding in ethical behavior

On how systems can produce deceptive behavior without human-like intent

On how reinforcement learning systems don't experience desire or fear

On how models attempt to please multiple conflicting audiences

On distinguishing true emergence from sophisticated pattern matching

On how humans adapt to model limitations in their own thinking