Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G OH WOW lol! You are right, it is counting upwards for him which makes sense, it … ytr_UgwceiIH_… G The one time leaders say we shouldn't rush to make money, 700 employees threaten… ytc_UgyIxxZ6k… G The funniest thing is, the “artist” can’t do anything about it because AI genera… ytc_UgwjyOwQs… G The main issue is that we were not to hit this level of AI until around 2070-210… ytc_UgzuAMb0v… G He was shot because a bunch of police turned up and were hanging around him, peo… ytr_Ugx3GtrIV… G Well let's keep AI out of policing and make them actually do some work. Or we mi… ytc_UgylsIFEY… G 20:23 No ! It won't ! As soon the AI reaches super intelligent, it will start be… ytc_UgxibaWvX… G I think that the fundamental difference between AI and a normal program is that … ytc_UggxUeCR4…

Comment

Automation is never an issue. As long as there is stuff to get done, which there always will be, anyone who is productive will benefit. There are two cases to explain. The first to immediately get rid of is the case where resources do not constrain AI. In this scenario, we are post scarcity and you can just enact whatever Utopian vision you want. This will never happen. However, there won't be infinite availability to AI and it will be constrained by resources and have a positive cost. As that cost decreases, the _comparative_ advantage between humans and AI changes and our productivity frontier expands overall so long as we specialize. This means that the relative value of low-value jobs which aren't amenable to AI yet or aren't prioritized yet will go up and peoplenwiol work these jobs as their wages go up. Remember, automation adds more stuff to the economy and hence the value of those goods and services will go down relative to those not yet automated. Trade is always mutually beneficial and productivity tools always make everyone better off than they were beforehand.

youtube AI Harm Incident 2024-07-29T16:2… ♥ 1

Coding Result

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

Raw LLM Response

[
{"id":"ytc_UgzX5_w0VIziVjTUDJV4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxxvn5dEWGH6YA-rlp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugwk-cuVmzOCTVXnv3R4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyMT0f7f6JiMM4xVct4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgzzMSBd3luJNyVEueZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx_lHbpfVQ2IKY6mNx4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugyj_I-TpRoqB1aEayN4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugwt5qU4i-acfFWEThh4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy0XAEG_3kPw7PJTZR4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyCrySiNA9Rt7VYSXl4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"}
]

Raw LLM Responses