Whats the right metric to consider credit card debt bad, or degrees of badness? When looking at nations, we look at debt compared to GDP. So for individuals, it would be debt compared to income? So someone who makes 20k and has a 10k credit card debt, is in the same bucket at someone making 200k with 100k in credit card debt. But, the 100k in debt person is in more trouble than someone who makes 500k and has 200k in debt.
College was never about learning it was about signaling. I get two resumes on my desk, one went to Harvard, one learned about stuff on ChatGPT. Which has a higher likelihood of being a success?
But why did you flip that true to false? It sounds like a missing unit test. So at a minimum it’s do the flip, find the right place to unit test, and write a test. Or I just tell my LLM “this should be false because of X, fix and write a test”
It’s something like up to 6 can fail and it keeps going, seems pretty good. I know they did some stuff like remove a heat tile to get failure feedback, wonder if engine was planned or accidental
Hum I normally am doing a clean context for the sub agent. If I want my context I do it in the main session, if it’s side work I want a clean small context with just the directions.
Only feee if you are using 100% efficient resistance heating. A heat pump can be up to 400% efficient. And natural gas is a lot cheaper per dollar. So for most people… it saves a tiny bit but not free.
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