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yourapostasy | 1 month ago
If you’ve been around the block and are judicious how you use them, LLM’s are a really amazing productivity boost. For those without that judgement and taste, I’m seeing footguns proliferate and the LLM’s are not warning them when someone steps on the pressure plate that’s about to blow off their foot. I’m hopeful we will this year create better context window-based or recursive guardrails for the coding agents to solve for this.
sanderjd|1 month ago
There is probably some effective way to put this direction into the claude.md, but so far it still seems to do unnecessary reimplementation quite a lot.
Eisenstein|1 month ago
LLMs accelerate this and make it more visible, but they are not the cause. It is almost always a person trying to solve a problem and just not knowing what they don't know because they are learning as they go.
yourapostasy|1 month ago
In this regard, I see LLM's as a way for us to way more efficiently encode, compress, convey and enable operational practice our combined learned experiences. What will be really exciting is watching what happens as LLM's simultaneously draw from and contribute to those learned experiences as we do; we don't need full AGI to sharply realize massive benefits from just rapidly, recursively enabling a new highly dynamic form of our knowledge sphere that drastically shortens the distance from knowledge to deeply-nuanced praxis.
filoeleven|1 month ago
Isn't that what "using an LLM" is supposed to solve in the first place?
lomase|1 month ago