Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G tire strips. deflate tires. and get a Bubba's truck to pull it out of the way. s… ytc_UgwT3HBH8… G This bs chinses robot will never catch no one lmao and there not even being used… ytc_UgznPBIoI… G I totally get where you're coming from! The goal of AI, like the robot in the vi… ytr_Ugzuh9D8k… G Dude. The AI doesn't think for itself. It just mimics human patterns. Of course … ytc_Ugz_eh7ot… G "Enhanced" is debatable. But doesn't matter. All AI at the moment is "trained" o… ytr_UgxMEllv5… G Having met a lucky share of my generation's super genius innovators and noting t… ytc_Ugxjsx-Xy… G Man uses slop that people watch to prove a point that AI slop is just as bad? Ok… ytc_Ugzl7EpQN… G Ai art is cool and all, but i dont think you should be calling yourself an "arti… ytc_UgyVFTF-z…

Comment

I believe he's exaggerating to generate headlines. Current large language models (LLMs) lack self-awareness and don't have any concept of being "shut down"—they simply process input based on training. Furthermore, how exactly are they addressing this supposed issue? You can't just "code out" a problem like this. As he himself admitted, neural networks function as black boxes—we don't fully understand their internal workings. You can't surgically remove a memory from an AI any more than you can from a human brain, because the learned representations are deeply interconnected. So what’s the solution—retrain the entire model repeatedly with slightly tweaked data? That sounds questionable, especially to someone like me who works in AI research and development. And honestly, his body language when discussing the so-called "accident" seemed very uneasy.

youtube AI Moral Status 2025-06-04T14:1… ♥ 33

Coding Result

Dimension	Value
Responsibility	developer
Reasoning	consequentialist
Policy	none
Emotion	resignation
Coded at	2026-04-27T06:24:53.388235

Raw LLM Response

[
{"id":"ytc_UgzXcbQNkiz1GShRr3F4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgywnyGSYCS3aGe8U6t4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyeItcd7yBtyM1Y1yx4AaABAg","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugz8oYeog8RPOGIaWcl4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxBRbXb5QJBt94-OzF4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwlCxYqFL4SXT_Hyvh4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzqDEh6R7VwBY8yIvF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyRnPC5llHjWfVdgSZ4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgxyCXN6L85LkUqUA4h4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugz_jQzq2Hsc4FyqE3l4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"resignation"}
]

Raw LLM Responses