In my opinion, it doesn't have skills. It computes output responses based on input (i.e. text input it has been fed over time), a history of threaded inputs by

In my opinion, it doesn't have skills. It computes output responses based on input (i.e. text input it has been fed over time), a history of threaded inputs by a human and possibly different personas which are just different styles of output. I see a skill as learning how to do something where that learning translates to many similar activities. For example, learning how to integrate two systems using a REST API into your application is a skill - dealing with errors, paging of responses, parsing of JSON, etc. If you come along another API that isn't REST, maybe its some message queue with JSON, you've learned the skill of how to integrate and that translates pretty well. If a LLM/GPT is fed text input on the code needed for a client side REST API in language X, that's it - it won't be able to output the code needed for the client side of consuming a message queue unless it is fed that particular input. If its never heard of a message queue you're going to get paragraphs of text that equate to a blank stare. I think you're right that it doesn't learn skills because it doesn't have skills much like any computer doesn't have skills. I think the trap for humanity is the potential fraudulent things we'll see come to light that happen during a hype cycle. Some investors are likely to trap their money into projects/companies that don't pan out or are completely useless.