FAST VS. SLOW THINKING IN LANGUAGE MODELS

Summary from the TLDR AI newsletter

This project explores how different "thinking" approaches — fast (concise) versus slow (detailed, like chain-of-thought reasoning) — impact layer-wise gradients and stability in LLMs.