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Most of the times, people are led astray by following average advice on exceptional circumstances. People with a minimum amount of expertise stop asking for ad
by marcosdumay 1y ago
Most of the times, people are led astray by following average advice on exceptional circumstances.
People with a minimum amount of expertise stop asking for advice for average circumstances very quickly.
- sho_hn 1y agoThis is right on the money. I use LLMs when I am reasonably confident the problem I am asking it is well-represented in the training data set and well within its capabilities (this has increased over time). This means I use it as a typing accelerator when I already know what I want most of the time, not for advice. As an exploratory tool sometimes, when I am sure others have solved a problem frequently, to have it regurgitate the average solution back at me and take a look. In those situations I never accept the diff as-is and do the integration manually though, to make sure my brain still learns along and I still add the solution to my own mental toolbox.
- lanstin 1y agoI mostly program in Python and Go, either services, API coordination (e.g. re-encrypt all the objects in an S3 bucket) or data analysis. But now I keep making little MPEGs or web sites without having to put in all that crap boiler plate from Javascript. My stuff outputs JSON files or CVS files and then I ask the LLM "Given a CVS file with this structure, please make a web site in python that makes a spread-sheet type UI with each column being sortable and a link to the raw data" and it just works.