Having worked on developing a GPT-4 based product from the day we got access, which was quite early as a YC company, I would say it's the following: - GPT-4 is

Having worked on developing a GPT-4 based product from the day we got access, which was quite early as a YC company, I would say it's the following: - GPT-4 is too slow, and GPT-3 is not powerful enough to be 'good enough' - Therefore, a lot of 'the work' is coming up with UX magic to overcome this - It just is not reliable enough for business applications (yet) without hardcore QA that is currently being invented and improved materially on a weekly basis - Therefore, the progress is in the last mile stuff like productionizing, QA, UX idiom invention, and/or coaxing GPT-3 to be good enough and go fast enough - All of what you're mentioning are LLMs, and GPT-4 seems likely the theoretical maximum LLM based on currently available knowledge - No doubt some more powerful models are in the works, but then the same process repeats (e.g. assess capabilities, invent UX idioms, QA and wait) So a conspiracy that incredible things are happening but no one is talking about it to me is not accurate. More like productionizing ChatGPT/GPT-4 is very early and putting new technology into use is always harder than it says on the label.