Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G Me Personally, I know we cant stop ai entirely. But I think human creativity sho… ytc_UgzHg7IlA… G They argue with you also and when you ask to speak to live person it snaps. The … ytc_UgzVwr8aM… G I've found that AI won't do all the work for us, it just assists us, forcing us … ytc_UgzCMN4ws… G The creation of AI comes with both opportunities and challenges. While AI can br… ytr_Ugz2B6iHg… G I have to disagree with most of those points, although i applaud high quality pr… ytc_UgzQx_usp… G did he just conflate the benefits of driverless trucks with climate change? And … ytc_UgyPUvfcH… G Maybe youre smart enough not to do dumb sh*t, but there are plenty out there tha… ytr_UgwImA-fX… G 😅😅 🤞🤞👌👌 I vote on Google because humans still are stupid enough though as they c… ytc_UgwJIQWH2…

Comment

You seem to be telling us that the car did not see the pedestrian, but as far as I know that is not yet known as the accident details have not yet been released (especially the car data). There are clearly circumstances that would lead to an accident even with perfect vision and perfect software, so your assumption that the software was less than perfect is, at this moment in time, unfounded. One interesting question I have, is to what extent self driving vehicle software is designed to handle the aftermath of a collision. Does it simply slam on the brakes on collision or does it try to find a safe place to park? I think a human driver would have to assess the situation in detail and I wonder if such assessments have been done by the self driving software designers or if they are assuming no accidents. I see lots of test runs for scenarios, but zero published test runs for post accident scenarios.

youtube 2018-03-21T12:2… ♥ 2

Coding Result

Dimension	Value
Responsibility	unclear
Reasoning	unclear
Policy	unclear
Emotion	indifference
Coded at	2026-04-27T06:24:53.388235

Raw LLM Response

[
{"id":"ytc_UgyBwr53QSrFwsgZ6Fx4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"indifference"},
{"id":"ytc_UgzFdYKkc3EPrgIw4QB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgxyqDNXW822gUmjenp4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwILlhd8deTJLVCDhV4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzyAX9tJXO7m_YMoOZ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwmTB7eP-BaIKS3dZl4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugyv__Up7HC5I2xbfa14AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgxdjWT7OaG50E2OsJR4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"approval"},
{"id":"ytc_Ugw0hEIGcJirB1lT3Ut4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugw92ZW-Q11YB0JOI9Z4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}
]

Raw LLM Responses