No-one should have the expectation LLMs are giving correct answers 100% of the time. It's inherent to the tech for them to be confidently wrong
Code needs to be checked
References need to be checked
Any facts or claims need to be checked
According to the benchmarks here they're claiming up to 97% accuracy. That ought to be good enough to trust them right?
Or maybe these benchmarks are all wrong
Does code work if it's 97% correct?
It's not okay if claims are totally made up 1/30 times
Of course people aren't always correct either, but we're able to operate on levels of confidence. We're also able to weight others' statements as more or less likely to be correct based on what we know about them
> Does code work if it's 97% correct?
Of course it does. The vast majority of software has bugs. Yes, even critical one like compilers and operating systems.
Re:GPT-5.2
by refactor_master on Friday December 12, 2025 @04:28AM
(#46242378)
Gemini routinely makes up stuff about BigQuery’s workings. “It’s poorly documented”. Well, read the open source code, reason it out.
Makes you wonder what 97% is worth. Would we accept a different service with only 97% availability, and all downtime during lunch break?
I.e. like most restaurants and food delivery? :). Though 3% problem rate is optimistic.
Something that is 97% accurate is wrong 3% of the time, so pointing out that it has gotten something wrong does not contradict 97% accuracy in the slightest.
> Or maybe these benchmarks are all wrong
You must be new to LLM benchmarks.
"confidently" is a feature selected in the system prompt.
As a user you can influence that behavior.
I might not know exactly how many USB ports this motherboard has, but I wouldn't select a set of 4 and declare it to be a stacked pair.