Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
Here is the [original paper](https://github.com/aidecentralized/nandapapers/blob/main/v0.1%20State%20of%20AI%20in%20Business%202025%20Report.pdf) which paints a more rosy future for AI than the Forbes article, whose headline is somewhat misleading. 95% of enterprise AI assistants are failing to **generate a return**. The report goes into brief detail about impact being harder to quantify when measuring efficiency gains in workflow, rather than using net profit numbers as a metric. The tldr is many current enterprise solutions don't learn or integrate neatly with existing infrastructure which can stem from rigid restrictions that aren't as prevalent on general AI tools like chatgpt. The paper indicates that going forward Agentic AI is the future. These maintain memory and learn from previous interactions to bridge the current gap. Additionally startups don't have the capital to compete with the big boys so unless they reinvent the wheel, you are better off buying rather than training a language model. I know it's fashionable to dunk on AI (LLMs) but I think it's here to stay.
reddit AI Responsibility 1755601014.0 ♥ 14
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[{"id":"rdc_n9hnrbq","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},{"id":"rdc_n9iabmf","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"rdc_n9hcsdp","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"rdc_n9imygv","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},{"id":"rdc_n9ij31c","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"resignation"}]