Though this particular model doesn't sound generalizable, the neuro-symbolic approach seems very promising to me: - linking the (increasingly powerful) "system 1" tools that are most of current ML with more structured "system 2" tools, like logical proof generation, which can plan and and check the veracity / value of output. - System 2 chugs along 'till it gets stuck, then system 1 jumps in to provide an intuitive g…
> The key milestone will be moving away from the need to use specific formal / symbolic domains, and to generate a pretrained system that can generalize the skills learned from those domains. You do not need to solve everything at once. This approach has the potential to revolution both math and programming by moving formal verification from being a niche tool into a regular part of every practitioners toolbox. It al…
I'm not sure why you are calling it non-AI. There's no reason why some AI system has to be some single neural network like GPT and not a hacked together conglomeration of a bunch of neural networks and symbolic logic systems. Like is it cheating to use a SAT solver? Is a SAT solver itself not artificial intelligence of a kind?