Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
AI is only as good as the available electricity and Nvidia GPUs to sustain them.…
ytc_UgwP1NjqO…
G
59:52 OMG!!!. This is super.....intelligence. it's beyond imagination of human b…
ytc_UgxHNnsXG…
G
Ahahahaha! Pulling the plug on the server solves that one :-) Errant behaviour? …
ytc_UgxKzLbuH…
G
ChatGPT doesn't always know know when he's lying. To me that conversation is lik…
ytc_UgxOLGpW7…
G
first of all: stop making false claims that 99% of ai startups will die. and the…
ytc_UgzmgWhev…
G
I'm a disabled artist, and I'm not gonna sugarcoat anything about this. AI is ve…
ytc_UgwVbX65O…
G
lol you need a study for that? :D of course ppl will get dumber the more they re…
ytc_Ugwo5-dY5…
G
This is super intriguing.. more than Deep learning i loved the way u have explai…
ytc_UgyNCnBbH…
Comment
It’s the same thing with testing for a rare illness, with some racial bias thrown in.
In short, if you want to detect something that is rare with any accuracy you need an extremely good test. See the base rate fallacy. Most people don’t view facial recognition in this way and just think a hit is good cause for investigation.
Further, a lot of facial recognition algorithms perform way more poorly on people of color, amplifying this problem. It is quite difficult to remove biases and issues from AI tech, since any racial bias in the training set is learned by the algorithm.
edit: since the wikipedia article has a (poorly written) [terrorist example](https://en.wikipedia.org/wiki/Base_rate_fallacy#Example_3:_Terrorist_identification) you could also view this from the perspective of the fourth amendment: is it acceptable to be subject to a search where the main cause is a test that is less than 1% likely to be right?
reddit
AI Harm Incident
1563715854.0
♥ 3
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_euddy2g","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_eudeyzp","responsibility":"government","reasoning":"deontological","policy":"ban","emotion":"fear"},
{"id":"rdc_eudetdn","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"rdc_eudf7y0","responsibility":"government","reasoning":"deontological","policy":"ban","emotion":"fear"},
{"id":"rdc_eudfq4v","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]