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over 80% are seeing no productivity gains from adopting AI yet overwhelmingly they’re predicting productivity gains (though the expected lift is like 1%?) I feel like there’s research showing that proper sleep, higher morale, and clear vision/roadmap have a FAR larger impact on productivity

I don’t think that article has any foundation on reality. I’m not even speaking from my own experience either

I'm always willing to be proven wrong, but the research paper is using self-reported data 6000 execs across a variety of industries, so it's hard for me to believe it's not based in reality

I have this lil theory that LLMs are uniquely good at software compared to almost everything else atm for a few compounding reasons: 1. It’s made by software people, so we’re biased toward our use cases. 2. There happens to be an enormous corpus of code to train on, legally and otherwise.

3. We’re the early adopters and have had the most time to get used to using it. I can absolutely understand a CEO of a paper mill might try the tech and get bad results out of it. And even within software this tech is at ⚠️proceed with caution⚠️ level. You may get eaten by a Grue.

For some problems, yes. There’s no clear feedback loop on code quality, though, which is why I suspect the code LLMs output is so distinctively odd.

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things i've done so it is more reliable for prototyping/hacking: - store a short global md file with my likes/dislikes - store a short local md context file with the repo with details - reverse engineer my style into instructions - rely on tools i'd use anyway like tests, linters, specs

what i like about this is it will just keep bumping into walls until all the ticks go green why this is valuable is because i can be doing something actually pressing while getting these "high priority but not JFDIs" done but i do have the benefit of a corporate API key...