Not really. By breaking down the problem you can adjust the models to the task. There is a lot of work going into this stuff and there are ways to turn down the randomness to get more consistent outputs for simple tasks.
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Yeah like stringing 5 chatgpt's together saying "you are scientist you are product lead engineer etc" is dumb but stringing together chatgpt into a coded tool into a vision model into a specific small time LLM is an interesting new way to build workflows for complex and dynamic tasks.