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Showing posts with the label Reasoning Models

Why AI Solves Some Logic Puzzles but Fails at Obvious Ones

An AI can solve a long logic puzzle, then stumble over a question that seems obvious. The strange part is that the harder-looking problem may actually be more familiar to the model. Small wording changes, hidden assumptions, or one unusual relationship can break that familiar pattern. So what does a correct answer really prove about AI reasoning?

Why Showing Its Work Does Not Mean AI Is Thinking Like a Human

An AI can show six calm, logical steps and still arrive at the wrong answer. The explanation may look like a clear record of thought, even when one early mistake has shaped everything that follows. Visible reasoning can make an answer easier to inspect—but what does it actually reveal about how the model reached its conclusion?

What Reasoning Models Actually Do That Regular AI Does Not

A refund request arrives seven days after the normal deadline. A quick AI answer may reject it immediately, even though a damaged-item exception changes which rule should apply. Reasoning models are designed to spend more effort comparing those conditions before answering. But what actually changes between a fast response and a more careful one?