What objective is reasoning solving?

# Summary The article proposes viewing reasoning in AI models as pathfinding through token space rather than a single convergent process. Instead of longer chains of thought necessarily leading to better answers, the model samples multiple diverse paths from a prompt, with success measured by the probability of any sampled path reaching a correct answer—explaining why forcing a single chain longer can sometimes hurt performance rather than help it.