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Link: https://github.com/justincache/awesome-ai-interviews/blob/HEAD/topics/13-reasoning-models.md · read at 2026-09-22T20:18:01Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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QUOTE `{}`	for tasks with verifiable correct answers, spending more tokens thinking at inference reliably improves accuracy — similar to how a human does better on a math exam with scratch paper vs. answering immediately.
QUOTE `{}`	OpenAI’s work on o1 showed that reasoning model performance on benchmarks like AIME (math competition) scales roughly log-linearly with the number of thinking tokens: More thinking tokens → better performance