I think the same could be said of anything resembling technical writing. As an example aside from code writing, I think more than half of the machine learning papers out there are horribly written in the sense they rush a point or give no rhyme or reason for certain parts

And the best part, most people shallow read all of them and decide the details are needless till they are forced to deal with the details and then their understanding falls apart in front of them

Emotion management. I think this is more subtle than having a stoic front to everything. There are places/times where showing bare emotions moves the needle forward for example inspiring people, driving home a passionate point and sometimes in conflict, yes conflict, there are people who only understand emotion like anger to see the errors of their ways, for these folks reason doesn't work

And in other places/times, gulping down your emotions and being stoic is all that matters. Also no one likes a person who is inert all the time, so there's also prepping for that.

That’s a really insightful take.

I know I can't really argue with advice but I feel intrinsic motivation is dependent on your upbringing, random factors so I have to say this rubs me the wrong way but is somewhat sound

I think that is fine advice. I wish it be ground down more as the opposite of what is comfortable encompasses a huge spectra of discomfort.

When in doubt save money. I have a friend who does the opposite. My friend of misery always regrets it and never learns

Fair heuristic. AA lot of people report it (gut feeling) doesn't scale as much as they'd like

I feel this list is missing sitting down to write stuff. It doesn't have to be journaling, it could be writing essays or whatnots

> Computer scientists might argue that all programming languages are Turing complete anyway and the choice of which one to use is not that important

Efficiency and the real world will eat them(comp scientists who think like this) up for breakfast

Linguistic relativity seems to be a thing. Because of the differences I would think it could be inferred that an ordering amongst languages exists. In the least a partial ordering exists, so maybe some "specific" languages that are better exists

Agentic frameworks are nothing but somewhat impressive glue engineering and hundred percent will be passed over when models with bigger context lengths and better reasoning come about

Rule of thumb: if business folks drop a AI term that becomes the vogue lingo to use, be assured it is a fad that will meet it's doom in days to come

I don't think the bitter lesson is an absolute, but the current investment in agents is what you get when you ignore the bitter lesson