Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
The question you have to ask urgently is not "will AI kill us", but "will AI kil…
ytc_UgzEr3oFs…
G
While AI is a great risk for causing the next world war, I see a ban being some …
ytc_UgypyowmC…
G
I agree. Similar to autonomous driving. Sure it’s nice getting driven around, bu…
ytc_UgxLoSHz8…
G
If something else doesn't kill us first, AI surely will. We need to oppose it. W…
ytc_Ugy1eQShM…
G
Why don't they just install like a sim card/receptor or whatever in every vehicl…
ytc_UgxOUWofE…
G
now gigo has access to All Data...everything...and we forget that gigo Has No So…
ytc_UgyIemH2O…
G
look up zdzislaw beksinski and you can see that even midjourney doesn't hold a c…
ytc_UgxpgHHhR…
G
I figured this shit out when using the AI to tell me about medieval helmets, how…
ytc_Ugw_QMZ7c…
Comment
Learning is still very relevant to train curiosity and to obtain the skill of coming up with the right questions - some of which still cannot be answered correctly by AI. For all those questions that CAN be answered by AI, it still helps to know what you should ask at what time. AI is at the moment very inept at doing it autonomously; and it also sucks at weighing/scoring the possible alternatives by simulating consquences, you know, the actual intelligence/reasoning. For the most part AI right now is a retrieval tool, a better search engine (when it does not make up stuff). But information retrieval alone is not the point of intellectual or economically sensible work. The point is, most of the times, constrained optimization under uncertainty. Paradoxically, the AI can't pick the right goals and can't pick the right/efficient optimization approaches and can't decide which uncertainties matter either. Even if the goals are predefined, it fails - it will optimize toward a different goal than the researcher/trainer thinks it has been given.
youtube
2025-07-31T14:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgxRomQ1Od-eJ74-m3F4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugx1nryAZkTF-VVk3fx4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgzQ0Y506gLCTDUa7ZJ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugyf35M6NWva71eGAkJ4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgyKiTb2f5zOTjZKkjl4AaABAg","responsibility":"company","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugxc5m_JqT9RBclnnIZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugxk-f2uQjTewDQSHrd4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgymyXRwNt3fgczYzbx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgzczANC_YKzSPYBDBR4AaABAg","responsibility":"none","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgwyyQ8wudClYzKa8QJ4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}
]