Parallel Minds, Shorter Time: ParaThinker’s Native Thought Width
A familiar enterprise AI failure looks less like stupidity and more like stubbornness. Ask a model to solve a hard problem, and it may begin confidently in the wrong direction. Then it keeps going. It adds details. It self-reflects. It spends tokens. It may even apologise to itself internally, which is apparently what we call progress now. But the core path does not change. The model is not merely short on compute. It is trapped inside its own first guess. ...