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mostly markwhen stuff Github
More AI thoughts, this time about LLM interfaces added onto products - we need more, better pipes, not more chewed up bubble gum patches on leaky pipes.
But meanwhile everyone seems to be slathering chewed up bubble gum everywhere - not just on leaky pipes, but across the whole front of their houses, across their faces, on everything, in the hopes that it'll cover up the shit. Yeah it covers it up for a bit, but it seems like a short term solution?
Thesis: interesting work (i.e., work worth doing) is less amenable to the use of AI than ... non-interesting work.
I have to admit that I get a little FOMO when I see people on HN laude the use of AI and how much more productive it's making them. Meanwhile, I feel like if I tried to offload my work to an LLM, I would both lose context and be violating the do-one-thing-and-do-it-well principle I half-heartedly try to live by.
I don't mean to disparage anyone working on boilerplate, it's something we all have to do, but at the same time that's just not what I'm doing. Or at least, that's not what I'm spending most of my time on. Why would someone be writing boilerplate all the time? How is that not, even without LLMs, a failure of efficiency? Why would you think your boilerplate-writing job would be secure?
The monorail is interesting but mostly just a gimmick. Would be cool if it… went more places 😮🫢
I think she wants something
visibility test
Remarking + text to speech = great combo
sometimes i do stuff and it actually works 🤷
when you have a coding project that you do for your own enjoyment and then you have to code for it 🫠
non-polar seltzers are essentially uncarbonated
Father's Day haul
Example about properties
Example for the documentation
The sun is advancing on my position
