Some of this stuff is ludicrous. I finally tried /loop last week and discovered every loop iteration passes the entire context history to the model. So pretty quickly you're running a full 1M context window, without cache, likely just to check if something is ready or needs to be done. It's miserably terrible engineering unless your entire and only goal is to burn tokens.
Wait, why isn't context cached with /loop?
Because it's typically cached for 5min (1hr is a setting you have to explicitly opt into), and very few people run loops at a cadence of < 5 mins.
Oh! I thought Anthropic cached for one hour (by default), am I wrong about that? Or is this an OpenAI thing?
Anthropic changed their cache duration for some reason a while back.
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