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> It's definitely possible for AI to do a large fraction of your coding, and for it to contribute significantly to "improving itself". As an example, aider currently writes about 70% of the new code in each of its releases.

That number itself is not saying much.

Let's say I have an academic article written in Word (yeah, I hear some fields do it like that). I get feedback, change 5 sentences, save the file. Then 20k of the new file differ from the old file. But the change I did was only 30 words, so maybe 200 bytes. Does that mean that Word wrote 99% of that update? Hardly.

Or in C: I write a few functions in which my old-school IDE did the indentation and automatic insertion of closing curly braces. Would I say that the IDE wrote part of the code?

Of course the AI supplied code is more than my two examples, but claiming that some tool wrote 70% "of the code" suggests a linear utility of the code which is just not representing reality very well.

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-# load these from aider/resources/model-settings.yml -# use the proper packaging way to locate that file -# ai! +import importlib.resources + +# Load model settings from package resource MODEL_SETTINGS = [] +with importlib.resources.open_text("aider.resources", "model-settings.yml") as f: + model_settings_list = yaml.safe_load(f) + for model_settings_dict in model_settings_list: + MODEL_SETTINGS.append(ModelSettings(**model_settings_dict))