Raw LLM Responses

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Not limited to code, either. I set up a project to help with doing fantasy baseball analysis, and it’s constantly making small mistakes (parsing stats from the wrong year, stats from the wrong categories, misstating a players team or position, etc). Basically what happens is the model will give me data I know is incorrect, then I have tell the model specifically why it’s wrong and ask it to double-check its sources. Then it responds with the “You are correct…” line. Baseball data is well maintained and organized, so it should be perfect for ChatGPT to ingest and analyze.
reddit AI Harm Incident 1746999459.0 ♥ 17
Coding Result
DimensionValue
Responsibilityai_itself
Reasoningconsequentialist
Policyliability
Emotionresignation
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[{"id":"rdc_mrtgd8d","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},{"id":"rdc_mrubyeu","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"},{"id":"rdc_mrtafeh","responsibility":"developer","reasoning":"deontological","policy":"industry_self","emotion":"mixed"},{"id":"rdc_mrulpjd","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},{"id":"rdc_mrtcjne","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"resignation"}]