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Showing 1–5 of 5 · #reasoning
How to test whether an AI model really reasons: the contradiction-trap evalTESTS

How to test whether an AI model really reasons: the contradiction-trap eval

A planted contradiction, blind judges and zero partial credit. A step-by-step method for finding out whether a model tracks state or just sounds like it does.

MOMira OkaforNov 09 · 7 min
The "red-team yourself" prompt: self-critique that works, and when it backfiresPROMPTS

The "red-team yourself" prompt: self-critique that works, and when it backfires

Asking a model to attack its own draft can catch real errors, or talk it out of a right answer. What the research says, and the variants worth using.

SPSana PatelOct 15 · 6 min
What do reasoning tokens actually cost you? How to measure and control themTESTS

What do reasoning tokens actually cost you? How to measure and control them

Hidden thinking tokens are billed like output and vary wildly by task. A practical audit to find where reasoning pays off and where it is burning money.

RKRafael KimOct 07 · 6 min
Does "think step by step" help on short tasks?TESTS

Does "think step by step" help on short tasks?

Chain-of-thought helps a lot on maths and logic and very little on many everyday tasks. What the research says and how to check your own workload.

SPSana PatelAug 14 · 6 min
Chain of thought and self-consistency, revisitedPAPERS

Chain of thought and self-consistency, revisited

Write the steps, sample several paths, take the majority answer. The ideas behind modern reasoning, what still works, and what reasoning models changed.

RKRafael KimJul 07 · 6 min

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