Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
Maybe should’ve read that MIT paper more closely. I’m not sure you’re getting the correct takeaways. From your own link: > The core issue? Not the quality of the AI models, but the “learning gap” for both tools and organizations. While executives often blame regulation or model performance, MIT’s research points to flawed enterprise integration. > The data also reveals a misalignment in resource allocation. More than half of generative AI budgets are devoted to sales and marketing tools, yet MIT found the biggest ROI in back-office automation—eliminating business process outsourcing, cutting external agency costs, and streamlining operations.
reddit AI Jobs 1756833395.0 ♥ 1
Coding Result
DimensionValue
Responsibilitycompany
Reasoningunclear
Policynone
Emotionmixed
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_nc1ire3","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"rdc_nc1nxyu","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"}, {"id":"rdc_nc2agx9","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"}, {"id":"rdc_nc1gu9y","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"}, {"id":"rdc_nc1cmaj","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"} ]