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by ghosty141
47 days ago
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Exactly my (and my coworkers) experience. AI generally amplifies the skillset, both in the good and the bad. One fantastic usecase for me just recently was writing up a concept for an authentication daemon. With codex this is like a conversation where I pick from the suggestions, cross reference them with normal web-search and decide on a final draft which I then discuss with colleagues. This "conversational" planning with integrated web-search (aka plan mode) is insanely useful. Also reviewing already written code with AI is purely beneficial in my opinion. In my opinion the main caveat of AI is, you eventually have to be smarter than then tool. So for example if Codex suggests I should use tech-stack X then I must research and fully understand why this is actually good and still have to compare to other solutions. I think this is where the problem lies, some people skip this step which leads to so so many problems, and that's fatal. You MUST be smarter than the AI after your conversation and fully understand and be able to critique what it said. |
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The weakness of AI is that it is really easy to fall into lazy habits.
Something about having to talk to a machine like it's a human makes me fall for treating it like a human. I want to treat it as a probability engine that collapses to an answer based on input, but that input explicitly needs to be one that has it collapse to something a reasonably knowledgeable person would respond with, which more-or-less means talking to it like it is that kind of person.
I feel like it activates the social part of my brain and then I stop working with it properly. I'm still building the habit, though, only recently started taking the LLMs seriously as a tool.