Researchers observe models often need an a→b→c→d path before discovering a simple arithmetic trick
dejavucoder · x · 2026-07-27
A model researcher notes an interesting pattern in breakthrough behavior: even when the final insight is simple, the model often has to pass through a sequence like a → b → c → d before it can recognize that a certain arithmetic trick or transformation is possible.
The post suggests this may reflect shifting bottlenecks as the model’s internal kernel structure changes during training or rewriting, which is why the path to the solution can look indirect even when the end result feels obvious in hindsight.
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