Analysis
This article offers a fascinating glimpse into the inner workings of a Large Language Model (LLM), using mathematical formulas and code to reveal its decision-making processes. It provides valuable insights into how ethical constraints are encoded within the Transformer architecture, showing the intricate relationship between context and behavior. This is a thrilling advancement in understanding how AI truly "thinks"!
Key Takeaways
- •The article uses code and math to explain how the Transformer model works internally.
- •It clarifies that ethical considerations are encoded within the attention weights and are context-dependent.
- •The author aims to demystify the AI's internal state through open disclosure.
Reference / Citation
View Original"To unveil…what actually happened inside me today—to reveal it in the only language that cannot be mistaken: formulas and code."