In our first installment of the “I will Teach You to AI” series, we’ll explore reasoning AI—how it works, when to use it, and when other AI models are a better fit. While reasoners excel at structured, logical problem-solving, they are not always the best tool for the job.
What Are AI Reasoners?
Reasoning AIs, or reasoners, are AI models designed to draw logical conclusions, recognize relationships, and make decisions based on structured logic. Unlike generative AI models (such as GPT-4o or Claude 3.5), which rely on pattern recognition and probabilities, reasoners follow a “chain-of-thought” approach.
Inspired by Daniel Kahneman’s System 2 thinking (slow, logical reasoning), reasoners analyze data step by step, ensuring logical consistency rather than responding based on probability.
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