[retrac]

I think this may end up being the most powerful application of GPT. While I've been using it for coding, most of it is high level "what are the trade-offs?" kind of thinking and very little actual code.

A person with some background and sufficient general knowledge, but who is a non-expert on a topic, can dive into a topic and allow the AI to handle most of the detail work. What do I need to know to understand this? It falls out naturally from the exploration of the topic, in a faster and more integrated way compared to chasing down articles and definitions.

It's like having a research assistant, that is an expert that has read everything ever published about the topic, and that is also infinitely patient. Of course, it's also prone to bouts of being confidently incorrect, and it can't actually reason, or think up anything new. That may seem like a serious limitation, but it also describes many of my college professors, and they still taught me plenty. ;)

[ilaksh]

I think ChatGPT is most similar to text-davinci-003 which does have gaps in it's knowledge which it can be stubborn about but code-davinci-002 has fewer gaps and can be more reasonable about requests. It's sometimes gets stuck in a loop though and is in beta with very limited capacity. Point being ChatGPT is the not quite best programming model.