I agree we should teach our AI models how to do math, but that doesn’t mean they shouldn’t use tools as well. Certain problems are always going to be very algo

I agree we should teach our AI models how to do math, but that doesn’t mean they shouldn’t use tools as well. Certain problems are always going to be very algorithmic and computationally expensive to solve. Asking an LLM to multiply each row in a spreadsheet by pi for example would be a total waste. To handle these kinds of problems, the AI should be able to write and execute its own code for example. Then save the results in a database or other long term storage. Another thing it would need is access to realtime data sources and reliable databases to draw on data not in the training set. No matter how much you train a model, these will still be useful.