>Well the AI has to infer what math is with many examples. You give it enough examples it will be able to calculate equations it's never seen before. This is c

>Well the AI has to infer what math is with many examples. You give it enough examples it will be able to calculate equations it's never seen before. This is categorically not true and an important distinction to understand. All OpenAI products are based on GPT, which is a language model, not a general learning model. You could feed it every math textbook in existence and the model will learn absolutely no math, other than how to repeat math that others have done for it (and the point of multiplying 4 digit numbers is that it's nearly impossible to brute force that). This is an extremely important distinction - we assume being able to describe math means that something understands math (because that is how humans work), but math is rules-based and GPT is stochastic, so it can sound like it understands math, but it does not. Now, it would be trivial to put a filter on that recognizes equations and returns an output based on regular rules-based algorithms (Google search's LLMs do this for example), but this again points out that AI is an outcome and learning isn't the solution to the problem, so much as synthesis is (again, the brain metaphor is that no matter how well trained your pre-frontal cortex is, it will be bad at making your heart beat all the time).