this post was submitted on 14 Mar 2026
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They don’t need testing because they tell the ai to not make any errors
my boss loves AI and he uses it for everything. he made some stats graphs and summaries, and he was bragging how he got AI to make them errorless: he tells it to check for errors and makes it swear it's accurate... while we were looking at a graph where the y column numbers were all fucked up
Interestingly, AI is actually pretty good at making graphs, the trick is you don't ask it to actually make the graph itself. Instead you have to ask it to write a python script to create a graph using matplotlib from whatever source file contains the data, then run that script. Same with math. Don't ask it to do math directly, instead ask it to write a bash or python script to do some math, then run that. Still not perfect, but your success rate increases by about 1000%
And then the LLM says something like "You're absolutely right, there was an error in that code that is clear and obvious now it has been pointed out and despite the fact you gave the instruction to make no errors. Is there anything else I can help with?"
... and they'll be too blind to take that as the warning it is and continue to ask even more of the LLM.