When Machines Appear to Reason

What reinforcement learning, “sharpening,” grokking, and recent evidence on reasoning models reveal about today’s AI systems Photo by Михаил Секацкий on Unsplash It has become fashionable to praise AI models for “reasoning.” Often what we are really seeing is the performance of reasoning: systems that can sound deliberate, coherent, and purposeful even when the underlying work is something else. That distinction matters because it changes how we deploy these tools.