Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
yeah. Vedal, the turtle, made her, no chatgpt or other big ones. She started out…
ytr_UgzTE214K…
G
“The Pasco Sheriff’s Office continues to stand behind the intelligence-led polic…
ytc_UgxtJGzTF…
G
More original and creative than typing words in a prompt and letting a robot do …
ytr_UgxvXk2SV…
G
I am just wondering, if the millions of people have no jobs in the future, who a…
ytc_UgwbfmTW7…
G
AI doesn't have to physically kill us. The internet and social media has already…
ytc_UgyquY6oP…
G
How about student with slow learning? They even can't learn by their self. So, w…
ytc_UgxmCeI9R…
G
@seriouscat2231true but Not true at the Same time im Talking about Code here no…
ytr_UgxJkieEa…
G
Saying that AI is a tool for people with disabilities not only infantilizes thei…
ytc_UgwH1DqbL…
Comment
Hello Drew, This "Intelligence Curse" scenario is terrifying because it is mathematically rational for the board. As long as "Efficiency" is the only metric, humans lose every time.
But there is a missing variable in this equation that we need to weaponize: Brand Toxicity.
If a company replaces its workforce with AI, it should not just be a "PR issue"; it should be a Structural Liability.
We need to introduce the concept of "No Fault Redundancy" Protection:
The AI Tax: If a role is automated, the company pays a specific tax that funds the UBI/Retraining for the displaced worker. This removes the "pure profit" incentive of firing them.
The Brand Shield: We need to aggressively support "Human-First" certified companies. If a bank or tech firm purges its staff for bots, the public needs to treat their brand as toxic.
The CEO in your story caved because the cost of keeping humans was higher than the cost of firing them. We need to flip that math. Firing a human for an algorithm should be the most expensive decision a board EVER makes.
youtube
Viral AI Reaction
2025-12-04T14:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | liability |
| Emotion | fear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[{"id":"ytc_UgxnVl7qsQHr8Npr31F4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},{"id":"ytc_UgwN3B6O8W6SbRTEy2R4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},{"id":"ytc_Ugyk806Ac8VgInhfsg54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},{"id":"ytc_Ugyb5kzUq0c4zirJQel4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},{"id":"ytc_UgzklGenAO1pfH021ZN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"ytc_Ugy-0T8cU6D3Ot4snJF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},{"id":"ytc_UgxU3hkBff4OqEQQfoZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},{"id":"ytc_Ugx9_kA1dPyFbhFNW-B4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},{"id":"ytc_UgxqgySLYyKfcYvRD0B4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},{"id":"ytc_Ugyce_mB-E56xg7xIQZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}]