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Paul Graham argues that in the near future, choosing not to use LLMs for writing will be uncommon but a mark of those who care about thinking clearly, warning that a divide between 'writes' and 'write-nots' will mirror a divide between 'thinks' and 'think-nots'.
A rhetorical question about the potential decline in societal collective intelligence if people rely on chatbots for thinking over several years.
An essay exploring why thinking out loud with another person produces better understanding and insight than solitary reflection, drawing on cognitive science and philosophy.
The author uses personal experience to introduce a tutorial on architect thinking in the AI era, emphasizing that the ability to understand the underlying essence when abstraction leaks is more critical than tool usage, and shares two modes: assembly thinking and object-oriented thinking.
Sam Altman shares his belief that clarity of thinking, speed, and quality of execution are linked, using writing as a tool to clarify thoughts.
The author shares a quantization recipe for Qwen3.6 27B that makes the model use significantly fewer thinking tokens while still producing correct answers, leading to faster inference on math benchmarks.