Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G When I learn of things like these I'm so glad to be living in quasi rural Mexico… ytc_UgxRQ0o8t… G I felt like I was the only one who was extra polite with ChatGPT 😅… ytc_UgzzBEvGz… G These AI bots are pretty shit. Supposedly my IQ is only like 110, but these aI b… ytc_UgyxKMJeD… G Self driving cars don't even operate 100% effectively so a big commercial truck … ytr_UgwrqW3-G… G Jesus...ai is already scary enough. Bill gates has developed one thats a 16 yr y… ytc_Ugzaj8AzV… G Facial recognition cannot properly match black and brown people, period. At one … ytc_UgxuRLofH… G The current state of ai dev and the industry as a whole is indicative of a profo… ytc_Ugxn5ipi2… G > But, in a simplistic view, the one who placed the rock there could be held … rdc_dds7pps

Comment

I think you are really spreading fear instead of awareness. I have been a software developer who uses and has developed AI applications when we still called it ML. Did I notice a change in my job? Yeah, sure, but what did you expect if you throw a trillion dollars at a problem? And to go even a step further, is GPT-5 that much better than GPT-3? In my opinion, I expected more in the timespan of five years. I do think that most of the gains were made on the integration side of things: you use it in an IDE; we added agentic capabilities, which kind of is the same as throwing more compute at it. And now, to conclude: my job did change. I write less boilerplate, and it is easier to compare huge log files. I use it to go back and forth with ideas, use it as a sparring partner, and it is also a very nice search machine for a huge code base. But it makes so many mistakes when it comes to real problem-solving. If all you do is write boilerplate, are you then really creating software, or are you a monkey that copies some code and changes some values for this new case or parameter? Background: C and modern C++ in a low-latency video pipeline. I also like Rust.

youtube AI Governance 2026-03-31T18:0…

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_Ugy5pIE9HkxIa9ZmiMF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx-4bRS7gwuwvt71rN4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_Ugxb0_zUJWZArqEHmk14AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgzGxb_8OGjsH-aYlt14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugxp7QcDkJBGHOZPqdl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_UgxGmw8VpbKIoVmOp8B4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwfIaMuNJqiUwpExPN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzFGoe-ilpvLxtBf4F4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugy_1aPnZBDqHUani4h4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgyLQooXPCOtULsyrSx4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"}
]

Raw LLM Responses