Raw LLM Responses

Inspect the exact model output for any coded comment.

Look up by comment ID
Random samples — click to inspect
G lmfao, its SO funny to me that people were literally talking like they were gods… ytc_Ugxr_QMTF… G AI now is maybe helpful, but only really as an advanced search engine. I am skep… ytc_UgwW8YNI-… G Ai will all kill us in about 5 years, so better praise our ai overlord right now… ytc_Ugy1rSk1a… G I think we are a long way off from AI making applications, I think we will see m… ytc_Ugzm1Ezvw… G the middle class has already been almost wiped out, the swe "young professional … rdc_ohvovi5 G A recent news is that Disney is suing Midjourney. With Star Wars image examples … ytc_UgykzpXqy… G besides, the problem with ai, aside from taking all the jobs, it'll also use mag… ytr_UgzVE2a44… G They have always done this. Why are people shocked. Edit not with AI but algor… rdc_n8lpoxp
Comment
here are the secret words: "Improve up on that" and that is your second prompting. For first you must do these steps: Best Practices for Effective LLM Prompting Successful prompting of large language models requires precision, clarity, and a strategic approach. Every query should be directed toward a clear goal, eliminating ambiguity and unnecessary information. Providing contextual details ensures that the model understands the purpose of the response, while structuring the prompt in a logical format leads to optimal results. Assigning a specific role to the model enables content generation from the desired perspective, whether it involves technical analysis, a summary, or creative interpretation. An iterative approach is essential for refining responses—adjusting the prompt based on previous results leads to more precise and useful information. In environments where the model supports memory, referencing previous responses ensures consistency and continuity in content generation. Experimenting with prompt formulations is not optional but essential—only through adaptation and testing can maximum efficiency in LLM utilization be achieved.
youtube AI Moral Status 2025-03-31T17:0…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[{"id":"ytc_Ugy9p-kowtkec4aysx14AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},{"id":"ytc_UgzLy3dzEnrurs-pyuJ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},{"id":"ytc_UgzmMmsaMrjEkTf_HA54AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},{"id":"ytc_UgwEb1fI95iWppnA8At4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},{"id":"ytc_Ugxou7EpKlnO7_nWJKN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},{"id":"ytc_UgwSasZ2ldllcSimv-x4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},{"id":"ytc_Ugyh_ibgRyOgxAH2C0l4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"unclear","emotion":"fear"},{"id":"ytc_Ugw845T6raOD4rFKxKd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},{"id":"ytc_UgxfalBI4n8ryAL7eSp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"ytc_UgwmyDXeNGqnDqs6AbJ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"outrage"}]