Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
9:00 No the point of writing an essay is to get a good grade. An A+ and if using…
ytc_Ugy-lRONq…
G
The stock market ls filled with silly fools who think a shoe company turning int…
rdc_ogldw4i
G
Man, a little robot isn't going to stop a thief from giving the it an ax to the …
ytc_UgxGHMNX1…
G
There will always be people who want to buy stuff. The problem actually comes fr…
ytc_UgzYUhJl2…
G
Aitana Lopez is not a fully created AI model, the studio uses a real person for …
ytc_UgzKwP-uT…
G
There is ending number 4 where ai liberates humanity, but the government convinc…
ytc_UgyphzTEj…
G
I wonder if he actually connected a langchain with an MCP server so he could rea…
ytc_UgzRd90yG…
G
The idea that ai can only operate by "stealing artists work" is semi disingenuou…
ytc_Ugyai-_D1…
Comment
Not true. The AI can only learn by feeding it data. If the police show up in a certain neighbourhood and prevent crimes then the AI considers that area to be a high-risk area. The cops will then show up more often in that area and in turn prevent more crimes which creates a feedback loop. The result is that the AI judges areas that are over policed to be high risk areas while under policed neighbourhoods such as white suburban areas are deemed unproblematic.
In addition to that the AI is also not able to judge wether or not the mere presence of the police might have prevented a crime from happening. So if cops show up and no crimes happen, that area is deemed unproblematic even though it could be possible that the crimes didn't happen because the potential criminals were aware of the cops in the first place.
The AI is deeply flawed and biased by nature but since it's AI it can be used as a scapegoat and an "objective" / "unbiased" way of enforcing already existing racist structural problems within the police force.
Do your research before you spout racist bs.
youtube
AI Bias
2022-12-28T05:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_UgxjgOvSqp1n_6XYd-J4AaABAg.9k9XN73es4v9kAJwRRY9Aa","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugw0F6UVuHkh21-4jP94AaABAg.9k8t6rfDlDU9k9cto_c8Uo","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytr_UgyYKshYyJ0CU2g9f2d4AaABAg.9k8pZIUngJL9kRktRDhJFN","responsibility":"distributed","reasoning":"consequentialist","policy":"unclear","emotion":"resignation"},
{"id":"ytr_UgyOHHTEwFN07tAs5Wt4AaABAg.9k7XGwZ_kwA9kNFBDoaJWP","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyOHHTEwFN07tAs5Wt4AaABAg.9k7XGwZ_kwA9kS-BBiCQiG","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyOHHTEwFN07tAs5Wt4AaABAg.9k7XGwZ_kwA9kWHCOpZM18","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_Ugz_7yQw_yf0BgHfHtF4AaABAg.9k6F7NECHM29k9XnsUQZBK","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugz_7yQw_yf0BgHfHtF4AaABAg.9k6F7NECHM29kJ1ldUZy6Q","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"},
{"id":"ytr_UgyjaWQM-PZlQImJjYl4AaABAg.9k4cOya9-b29k4gLbCgSx-","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgwPXL_lgnp2PoQlxcN4AaABAg.9k4OcA90Pnc9k4WH9kOlbO","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]