7 ms·
This post is a mess. The best advice is clear and specific, and this is neither. The examples are at best loosely related to the points they're supposed to ill
by sharkjacobs 11mo ago
This post is a mess. The best advice is clear and specific, and this is neither.
The examples are at best loosely related to the points they're supposed to illustrate.
It's honestly so bad that I cynically suspect that this post was created solely as a way to promote click3, in the first bullet, and then 4 more bullets were generated to make it a "whole" post
- CGMthrowaway 11mo agoThe five anti-patterns (or remedies, rather)- 1. Don't re-send info you've already sent (be resourceful) 2. Play to model strengths (e.g. generating an image of text vs generating text in an image, or coding/executing a string counter rather than counting a search string) 3. Stay aware of declining accuracy as context window fills up 4. Don't ask for things it doesnt know (e.g. obscure topics or outside cutoff window) 5. Careful with vibe coding
- meander_water 11mo agoYeah I was hoping for a lot more from the title.
- QuadrupleA 11mo agoYeah, there's not a lot that's actionable here... mostly boils down to "try a lot of stuff yourself and find out what LLMs are good and bad at." Rs in strawberry, generating some specific text in Nano Banana, what knowledge it knows, etc. Don't do those specific things because obviously (?) models are bad at them.
- clickety_clack 11mo agoMaybe this guy has been searching so hard for structural issues with his LLM interaction because his writing is just so so bad.