Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
HR is already AI, most of them sit all day and reject perfectly fine candidates.…
ytc_UgxmXSdZZ…
G
Ai will see the damage of billionaires hoarding all the wealth and paying zero t…
ytc_UgwETBlQL…
G
It's not clankers or immigrants taking your jobs It's billionaires giving them t…
ytc_UgwWigB5N…
G
The process of making art and developing an art style is what makes people want …
ytc_UgwUxh73f…
G
We appreciate your interest in advanced AI technologies! While we don't offer fe…
ytr_Ugxy5osM3…
G
Am I the only one who doesn’t think this is a big deal? I use both AI art and dr…
ytc_UgxWNgA9I…
G
In simplest form, AI can be good when used appropriately. But the idea of no reg…
ytc_UgwQGxJjA…
G
Another problem is that non-white, non-cis, non-male people might have legitimat…
ytc_UgwCj4rMW…
Comment
How about doing some actual number digging. Tesla has billions of road miles. Straight away that makes them safer if you're measuring accidents / road miles. Though a truer stat would be to get Tesla road miles and accidents that are actually autopilot related.
Really you need to understand AI though. More training is always going to beat more sensors in the end.
Plus those sensor arrays look .. bad...
youtube
2023-06-28T18:2…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[{"id":"ytc_UgwumwH9JMogjoeNt-V4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxcyNW_aSxZWkI8BH14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyCYiTY-rtvwBoSqzt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgzohYxnniPnEAkueFR4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwBhpfrbIVxDmilJnl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzUE-42FBTJ3KIYvZN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugw1ZQndQU4dSDP341B4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwQiJ2WBWma7B_jzCp4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugyl9jDlO5zH8GK8EmF4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgzjB8oHrM6Ajjp3SlF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"}]