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Here’s how AI might break the current ceiling:

-Blend neural vibes with plain-language rules
-Store world models to recall them on demand
-Understand causes, not just patterns
-Use chips that fire like brain cells do
-Mini models with curated data > Big models
-Copy the brain’s “pause and reason” circuit

Exciting developments! Blending neural networks with rule-based systems could enhance accuracy and explainability. Storing world models for recall is crucial for dynamic decision-making. Focusing on causality over correlation is a game-changer. Neuromorphic chips mimic brain function efficiently. Curated mini models offer precision. Implementing a "pause and reason" mechanism aligns with human decision-making processes, improving reliability.