Using the example that you just used: The best ideas sound bad. Really bad ideas also sound bad. Many good sounding ideas are also hugely successful businesses

Using the example that you just used: The best ideas sound bad. Really bad ideas also sound bad. Many good sounding ideas are also hugely successful businesses. Maybe the etiology of success had nothing to do with how bad sounding the idea is? Also in the case of OpenAI, being in the field, I'd strongly argue that it wasn't that crazy sounding of an idea as people might conjure in retrospect. Google had been throwing resources at LLMs and been using them in production for several years before OpenAI started to do it. MANY papers written about scaling laws and how we haven't reached the limit of scaling data / compute yet. OpenAI is only relevant because they iterated quickly on releasing a product. Absolutely nothing visionary about the technology honestly. The question that should be asked here is why OpenAI was the first to release a product a few other companies were capable of creating.. Everything OpenAI has done is low hanging fruit. The logical progression of LLMs is chat, zero-shot learning, multimodal, connect it to web / other knowledge bases, planning, personal customization, multi-agent systems, etc. There is a vast amount of research in several vectors in this area..