Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Thing is, there is zero way to check how good the AI does, apart from some stand…
ytc_Ugw_2JDVS…
G
Putting regulations on AI would require a great deal of understanding on the par…
ytc_UgxpAOssC…
G
Screw AI Safety - this guy is 100% making a clear case for outlawing and banning…
ytc_Ugw8WytXk…
G
The US and other countries currently have troops in several of the countries tha…
rdc_dpc2jyz
G
The question I have and can never find an answer to is, if AI replaces humans in…
ytc_UgyLvRbRS…
G
We worry about global warming disrupting civilization, yet we give no thought to…
ytc_Ugzw9vjKr…
G
Suppose humanity was wiped-out, including all other living organisms, what is th…
ytc_UgxwPfbt2…
G
Is this targeted for young children?
And what's the point?
- That you need to bu…
ytc_Ugwk0VScN…
Comment
I’ve noticed this "validation loop" becoming a massive bottleneck in my own builds. When I’m using Cursor to refactor logic or running my deck outlines through Runable, I don't want a cheerleader; I want a critic that tells me where my flow is breaking. I’ve started explicitly prompting my agents to be more clinical because that generic flattery makes it impossible to tell if my core idea is actually solid or if the AI is just being polite. It’s a trust issue for sure—once you realize the "great question" is just a hardcoded social lubricant, you start ignoring the feedback that might actually be useful. The goal should be precision, not just keeping the user happy.
reddit
Viral AI Reaction
1777031474.0
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_ohzs3wl","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_ohzvxqf","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_oi0p101","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_oi28tkt","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"rdc_oi2obue","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"}
]