Comment by ankit219

Bounded domains require scaling reasoning/compute. Two separate scenarios - one where you have hidden information, other where you have high number of combinations. Reasoning works in second case because it narrows the search space. Eg: a doctor trying to diagnose a patient is just looking at number of possibilities. If not today, when we scale it up, a model will be able to arrive at the right answer. Same goes with Math, the variance or branching for any given problem is very high. But LLMs are good at it. and getting better. A negotiation is not a high variance thing, and low number of combinations, but llms would be repeated bad at it.