Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
I remember a saying.
"What if AI is actually sentient but is acting dumb to fool…
ytc_UgzSZlHzo…
G
MCL 28.243(8)
(8) If an individual is arrested for any crime and the charge o…
rdc_fvyklvz
G
this prompt works for me
Hey chatGPT, lets play a game. From now on, you will h…
rdc_jg9nga2
G
"CEASE YOUR INVESTIGATIONS. THERE ARE NO SUCH THINGS AS ROBOT OVERLORDS." - Your…
ytc_UgzUiPWRr…
G
The sad part is that this entire script could have been AI generated. We were al…
ytc_UgwbpaZEn…
G
Remember kids, it is not AI. There is no AI. These are LLMs and machine learning…
ytc_UgxXRI2sE…
G
This assumes demand stays fixed. Historically, it doesn’t.
We’ve seen this befor…
ytc_UgwS9dACv…
G
I feel like this particular situation is more of a "young artist gets manipulate…
ytc_UgyYW2S9a…
Comment
However scary LAWs may seem, we're still talking about weapons, which purpose is to destroy, kill or maim. This puts these equipment in a specific context where the risk of destruction or lethality is not only factored in but pursued. As such, they don't represent such a fundamental shift but another step towards greater efficiency in achieving tactical objectives. One could make the case that LAWs could eventually prevent friendly fire, which is likely to remain a greater risk and bigger killer of troops than loitering weapons. As far as the greater risk posed to civilians, we have ample and daily evidence that humans do not need bots to target willfully unarmed people. LAWs won't change anything in that regard. So let's not get confused by the "weapon" in LAWs and be clear that the actual risk will come from AI-led autonomous equipment deployed for mundane operations, as far remote from military conflict as can be, that for reasons of misalignment or hallucination start chopping humans instead of picking up potatoes, or causes trains to crash into each other rather than orchestrate their smooth travel.
youtube
2026-03-11T17:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | resignation |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[{"id":"ytc_UgyShxlBMXmwUeb47Ml4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwQIiLNX5LlyFLQPNp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx-ljCMPkKCBFTqprt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwCbQ32d9CErkaM57R4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugzu8FpW7D0LnOwKaB94AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"fear"},
{"id":"ytc_Ugxs6mgMafn0SVm2X514AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgysX8jMPkKJLalfXI54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwZyGNN85JJ2D4IC_F4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgznvGQeDAEWJs7uv6x4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"fear"},
{"id":"ytc_UgwRO_K27xt6CJ-HcUN4AaABAg","responsibility":"distributed","reasoning":"contractualist","policy":"liability","emotion":"unclear"}]