LLMs are great tools for assisting learning - but this is not an area where it's easy to extract large profits from users interested in learning. For example,

LLMs are great tools for assisting learning - but this is not an area where it's easy to extract large profits from users interested in learning. For example, if you want to understand the risks of floating point calculations given the limitations of computer hardware by analyzing how LAPACK and BLAS manage the problem, you can have an LLM write up a whole course syllabus on the subject and work your way through examples provided by the LLM with pretty good certainty that it's not hallucinating you into a corner. This is a well-studied topic, so one feels fairly confident that the LLM, properly prompted, is going to give you good information and if you cross-check with a textbook you won't be surprised. In practice, I find this approach reduces productivity in favor of gaining a deeper understanding of how things work - instead of just naively using LAPACK/BLAS based libraries, one 'wastes time' diving into how they work internally, which previously would have been very opaque. These are tools, it's up to you how you use them. Kind of like compilers, really.