Understanding reasoning models: Smarter AI for complex problems | Box AI Explainer Series EP 6

Box’s AI Explainer Series episode on reasoning models examines AI systems designed to solve complex, multi-step problems by taking more time to evaluate information before responding. Featuring Box CTO Ben Kus and Senior Product Marketing Manager Meena Ganesh, the video contrasts these models with faster, conventional AI systems through the analogy of human System 1 and System 2 thinking. It explains that reasoning models can improve answer quality and reduce errors in high-stakes enterprise tasks, though their slower performance may not be necessary for simple requests. The discussion also addresses retrieval-augmented generation, model “thinking,” and hallucinations, emphasizing the importance of selecting an AI approach that balances speed, cost, accuracy, and the complexity of the task.

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