Ever wondered if AI is actually "thinking" when it solves math problems, or just really good at pattern matching?
I've been analyzing Apple's recent research that puts this question to the test – and the results are pretty interesting. When researchers changed simple variables in grade-school math problems, even advanced AI models showed surprising inconsistencies.
These are systems that score 96% on standard math tests, yet struggle when the same problem is rephrased or includes irrelevant information. Sounds surprisingly... human, doesn't it?
In my latest newsletter, I break down the challenges in measuring "true" reasoning and also explore why these limitations matter for the future of AI development.