Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Funny thing, we started using ShortlistIQ and it’s really streamlined our hiring…
ytc_Ugx2vspVI…
G
I was getting increasingly frustrated throughout the video, expecting it to be y…
ytc_UgzMHsXid…
G
I’m sorry but QT cried like a new born baby who just discovered the internet yes…
ytc_UgzrUXOm7…
G
I once asked AI I cannot find a certain reference it used and after a few questi…
ytc_UgzkCPV9l…
G
i'm using a.i. to watch this video and comment this comment for me, i bet the vi…
ytc_UgxyTzcyH…
G
Im the last one, yeah. All my chats r just cuddling and nice words.
Tbh, charac…
ytc_Ugx-InyOU…
G
W-wait I’m just a kid who wanted to generate stupid images with ai that’s why it…
ytc_UgwZeYsIN…
G
A.I. consistently lies. If you don't ask it why or if it's sure about something …
ytc_UgxuBtfcg…
Comment
Some of these corporations are too cheap and too much in a hurry, to out-compete each other, than to have their engineers develop a closed loop direct-to-chip liquid cooling system in their data farms. We, systems engineers, have used this cooling method in systems, where needed, for decades. It would reduce the amount of water needed, for cooling, substantially. From my understanding, some in the industry are moving in that direction just very slowly. Nitrogen gas, forced circulation cooling, in a closed loop is even better and even better yet, liquid nitrogen immersion cooling.
Any one of these cooling systems will save on, both, water and power usage. The cooler the system, the more stable, productive and energy efficient it is. The only reasons they have opted for evaporative water cooling is that it's cheap and requires less expensive infrastructure. These corporations aren't the ethical types, they are the greedy profitability types.
youtube
Cross-Cultural
2026-01-27T23:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_Ugx7DPX_jN4i2ZI9HYp4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxOqjjj_dEO9ti4HDF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UgwB9XmKf3EJ_dMJMHp4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzJnf-Nf0Rq3a6VJN54AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugx4gCGtifddfrz4RMp4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgzZHnPt-G4XaJGyz1p4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxU8bPryd-yeq29fr94AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugx2GjZy_-o787RSOoV4AaABAg","responsibility":"distributed","reasoning":"unclear","policy":"unclear","emotion":"resignation"},
{"id":"ytc_Ugx1J8CFEq-NWzIBElF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyCvIUzdsR--UcQ6SJ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"}
]