bogtog
Joined 4 years ago
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Joined 4 years ago
Sorry what? Was this not the central theme of the article? (albeit with a title that used the word "iPhone" to be catchier)
If this was so obvious, wouldn't there have been more competitors pushing down the value of it?
The LLM still benefits from the abstraction provided by Python (fewer tokens and less cognitive load). I could see a pipeline working where one model writes in Python or so, then another model is tasked to compile it into a more performant language
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l.ttt
l..t.
(fingers crossed I'm not somehow doxxing myself by sharing a fb link)
Right, model intelligence defines the scope of things they can one shot
I also suspect that users naturally calibrate to a model's useful scope, gradually getting positive/negative feedback and gradually making their requests bigger/smaller than before