New Delhi, Aug. 7 -- Varun Mayya, a Bengaluru-based entrepreneur building things at the intersection of generative AI and content creation, believes that the real world is messy and full of problems that require multi-step solutions and creative thinking. He wants AI that understands and can work with this. "Reasoning AI models can infer cause and effect. If it's raining outside, for example, then they can infer that the ground is wet because of the rain, whereas vanilla models can get confused and assume that the events simply appear together and are not related," explains Mayya.

The difference becomes apparent when the questions themselves are less like trivia and more like conundrums. Imagine, for instance, asking: "Evaluate the feasi...