Entropy in AI and Human Thinking: Why Certainty Is Not Accuracy
Explores entropy in AI and human thinking, clarifying why certainty and predictability don't guarantee accuracy.
Explores entropy in AI and human thinking, clarifying why certainty and predictability don't guarantee accuracy.
Explores why AI prompts can be bad, emphasizing reliability across runs over occasional success, and how to judge prompt quality.
Explains how semantic layers improve enterprise Text-to-SQL accuracy from 40% to 85-95% by providing structured context for AI.
Discusses the reliability challenges and lack of provable correctness guarantees in current AI systems, despite their productivity benefits.