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I don't really do anything at my job that could be done in a single prompt, and certainly not something that would take me 7 hours. A 7 hour task would take mul
by Capricorn2481 8d ago
I don't really do anything at my job that could be done in a single prompt, and certainly not something that would take me 7 hours. A 7 hour task would take multiple iterations with how LLMs are right now.
You said it would do overnight what would take a human half a week, so I'm curious what tasks you are doing where AI is 3x faster than you even at 1t/s
- redox99 8d agoYour prompts are probably very underspecified then. Frontier models one shot the majority of my prompts. UI is kind of the exception, there I do have to ask for a lot of tweaks.
- Capricorn2481 8d agoMaybe. Do you have an example of a prompt you've done recently? I don't think it's valuable at all to try and craft a specific prompt to "one-shot" a task, I'm way faster just doing small asks and guiding it. At 1t/s, how would you even know your prompt was insufficient? It would take you 7 hours to see it.
- redox99 8d agoStuff along the lines of implement controller service and tests for the following endpoints: - list of many endpoints with the JSON they receive and return and description of what they need to achieve Stuff you could probably do in a single work day if you lock in and enter flow state, but in a typical job takes like half a week. And the vast majority of times the AI one shots it with no bugs, where I would have copy paste errors or dumb stuff I'd need to fix before it's shippable.
- 53uue5ue5 8d agowhy need frontier model for this?
- redox99 8d agoWhy not? It makes less mistakes and with subscriptions it's very cheap
- Capricorn2481 8d agoLike I said, in my experience I would rather do this with a bunch of tiny prompts than try to craft something that oneshots it. Chances are it will do several things I don't want, no matter how clear I think I'm being.
- cshores 7d agoyou could give it an entire spec, let it rip through everything that it is assigned and let another model correct the failures. Or similarly there's uses as well as an asynchronous adversarial review agent which basically ends up being an extra pair of "hands" to help out where performance isn't critical.