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Reasoning effort tends to be described as a technical setting. A budget that decides how many “thinking” tokens the model is allowed to spend before producing the final answer. Low, medium, high. More budget → deeper thinking → better results on hard problems. Not wrong at first glance. But settling for that
Humans, Consciousness, and Information: A Quiet Reframing of Evolution Humans are accustomed to thinking of themselves as the center of the story. Yet from an evolutionary perspective, humanity appears to be neither the beginning nor the end, but rather a temporary form within a much longer process. This does not
The Quiet Idea Behind Modern AI: A Story of Gradient Descent Modern artificial intelligence looks complex. Deep networks. Millions of parameters. Massive datasets. Yet at its core lies a surprisingly simple idea: If you make an error, take a small step in the direction that reduces it. This idea feels
Q, K, V explanations tend to fall back on the same shortcut. Q says what it’s looking for, K says what it has, V carries the information to be passed along. Not bad at first glance. But on closer look, this framing actually obscures the real mechanism. Because when
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