The moat comes by integrated LLM and generative AI into classical technique feedback cycles, finetuning in specialized domains, and other “application” of LLM w

The moat comes by integrated LLM and generative AI into classical technique feedback cycles, finetuning in specialized domains, and other “application” of LLM where LLM acts as an abstract semantic glue between subsystems, agents, optimizers, and solvers. The near obsessive view that generative AI is somehow an end rather than an enabler is one of the more shortsighted sides I see in this whole discussion of generative AIs over the last several years, peaking recently with ChatGPT