Really? I love LLMs because I can't stand the process of taking the model in my brain and putting it in a file. Flow State is so hard for me to hit these days.
So now I spec it out, feed it to an LLM, and monitor it while having a cup of tea. If it goes off the rails (it usually does) I redirect it. Way better than banging it out by hand.
We have no idea if its a good solution or not. It depends upon, among other things: how long it takes to update it, the error rate, and how acceptable those errors are.
Which misses the point. If the point is to reduce the number of taxes, having the federal government collect 10 different types of taxes instead of state governments collecting 7 types of taxes won't change all the different taxes we have.
There is no singular place we can change how many different taxes you pay. There's... thousands? Tens of thousands? Once you factor in city, county, state, federal, special districts, etc.
What if the AI produces writing that better accomplishes my goal than writing it myself? Why do you feel differently about these two acts?
For what it's worth, the unifying idea behind both is basically a "hazing ritual", or more neutrally phrased, skin in the game. It takes time and energy to look at things people produce. You should spend time and energy making sure I'm not looking at a pile of shit. Doesn't matter if it's a website or prose.
Obviously some people don't. And that's why the signal to noise ratio is becoming shit very quickly.
So now I spec it out, feed it to an LLM, and monitor it while having a cup of tea. If it goes off the rails (it usually does) I redirect it. Way better than banging it out by hand.
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