Anthropic has probably RL’d the system prompt into nothing because of their fear of the user being able to control the model. If it listened to you about the slop language, it might listen to you if you asked it to help you with no-no tasks.
Supposedly there was a time when drinking beer was often safer than drinking water from available sources, including for children. I guess there are levels
You could reverse the last sentence to "freed disk space reduces the need to clean the hd".
And I don't even mean physical limitation as much as the compulsion to manually clean ballooning cache dirs once in a while.
Overprovisioning also reduces the need to clean the disk. I've had a terabyte Macbook for over a year, developing in 7 different tech stacks simultaneously, never cleaning anything up manually, and I still have over 60% space left.
It's a tradeoff between wasting a little time everyday vs. wasting equally little time every year or so but also having the mental load of cleaning up plus maybe existential dread vs. spending more money to never have either problem. I do understand the last one isn't an option for everyone, but if it is, it's absolutely worth it.
Maybe this is a useful way to address maladaptive llm use for some, but it seems to focus the discussion on either-or (using llms) as opposed to how (to use them).
For things you want to learn: Are you asking to have something solved, or are you asking for information so you can solve it?
There may be detrimental learning effects even with asking llms for information, but I think there's a fundamental difference in addressing it as an intern/slave vs teacher/tutor.
Clouds of intracellular water more efficiently retained in muscle due to creatine supplementation[?]. Hydration is controlled for in some studies but not all.
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