New “reasoning” models are causing a major buzz in the AI / LLM (Large Language Model) space. These models are designed to enhance complex problem-solving by explicitly “thinking” through steps, often showing their “work” and improving accuracy on tasks like math, coding, and logic. While “thinking” tokens don’t solve the problem of interpretability, it might give some useful insights about the structure of the model’s reasoning. As says, “the model still remains a black box… much like our own m
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