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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.

I’m currently losing my mind over the whole skills.md file thing. Sure, they’re useful and make sense. Not arguing against that. But mfers are out there unironically saying shit like “you need to make sure you’re clear and to the point in your skills files, provide good examples”

THEY’RE DOCUMENTATION THEN? THE SHIT YOU SHOULD HAVE BEEN WRITING THE WHOLE TIME? AND THE ADVICE FOR WRITING THEM BOILS DOWN TO THE EXACT SAME SET OF POINTS YOU SHOULD APPLY TO DOCS FOR HUMANS? HOW COOL. AND INTERESTING. TELL ME MORE. _dissolves into a frothing puddle_

“Yeah bro LLMs are great at figuring out how to use your CLI tool you just gotta write good --help output” SO ARE HUMANS. THIS IS KNOWLEDGE FROM THE 60S. I AM GOING INSANE.

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we've actually had someone (probably a bot/script) raise PRs across a bunch of our projects at work, to add documentation for LLMs but, it's effectively the same documentation based on the technology stack, just with tiny variations, but the same Go advice, TypeScript advice, etc seems wasteful? 🤷