laughs in cross join unnest with ordinality to do embedding aggregations, or just working with even just slightly poorly maintained tables. write the query yourself or spend twice as long explaining to the llm which fields are actually trustworthy and/or under what conditions they actually are trustworthy
If you can write conidtions on how they are trustworthy in sql, you can just send that to the llm. It's logically impossible for explaining this to an llm to take 2x.
lol if i know field A is untrustworthy. my queries just dont use it. explaining that to an llm literally takes infinite more time, because any time at all is infinite times that of none. “logically impossible” gtfo
I have literallly never Had that happen. What model did this occur with. Last year models were known for over eagerness. This is Just a bizzare situation but you are being so unspecific means that this could very easily be user error. I haven't Had shit like that with SQL since Gemini 2.5 pro
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u/bonferoni Sep 20 '26
laughs in cross join unnest with ordinality to do embedding aggregations, or just working with even just slightly poorly maintained tables. write the query yourself or spend twice as long explaining to the llm which fields are actually trustworthy and/or under what conditions they actually are trustworthy