| I kinda suspect it might be that chagpt is excellent at getting you to an "average" performance in any field. My background is computational material science, but more on materials than the computational part. I have an ok broad knowledge of most CS topics but I'm always finding I'm playing catch up. My work also involves a lot of making research prototypes in areas I don't have time to get a proper background in. For me GPT has had a transformative impact on my work. For example I had a lot of projects that needed Docker. I have an ok idea of what Docker is and what i want to do with it. But, I don't have the time of a real software developer to learn the syntax and deal with subtle bugs or how to do basic things, e.g., "how do I ssh into my Docker container X" I think I'm on the end of users that is best poised to make use of llms. A decent knowledge of what strategy i want to go for but don't know the tactics. And I'm mediocre enough at programming that the Llm can usually beat me. Another example, I would just never write any unit tests, not enough time. With llms I can get simple dirty tests done + I know enough about testing to filter out the bad ones and tune the best ones. I see poor responders on two extremes on either side of me. People who really don't know what they are doing and can't prompt correct the llm into doing anything better. And people who really know what they are doing and are generally working on one tech stack/ project and don't need help getting dumb basics in place + have more time to write things themselves. |