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G All he had to do is not say it’s AI and remain anonymous to get away with it lol… ytc_UgxvHpT4f… G Yes it would, it'd make it **A LOT** less accessible. Edit: to clarify, I mean … rdc_k22a5z2 G Just because a car has Google on the side doesn't mean it's self driving. They d… rdc_d8a58ba G that can never replace me hahaha in 5 years my drawing skills will greatly surpa… ytc_UgyO5gvq0… G AI needs to pay taxes to social security and health insurance and unemployment t… ytc_UgygOJ2r6… G What South Park just did is a perfect example of it's(ai's) usage as a punchline… ytc_UgzmYSv2Z… G Let's reframe Earth's low diversity abundant ambient heat as a thermal energy wa… ytc_UgxFwMPF3… G The AI did say he would get involved in a shooting, as a victim not the shooter … ytc_Ugx7F-UAC…

Comment

Just as an aside, the path to victory here is to make the process of automated theft so convoluted and time consuming that it costs more to do it that way than just pay for the work honestly, at which point investment funds will dry up and the companies doing this will die off or get repurposed to something that is actually useful. "Model Breakdown" is the term used to refer to an unstable training set, which usually happens when the AI intentionally slurps up its own wrongly generated output and tags it as natural human input which is valid to train against, which would essentially be the same idea as giving your first grader their own kintergarten homework as their first grade textbook and then rinsing and repeating until graduation, at which point you would have someone so mixed up on their own nonsense they would never be considered functional or sane. Poisoning the data set with the tools mentioned in your pinned comment is contributing to that, but certainly not the only way to do it. Anything that feeds them back their own bad output will also accomplish that as long as it can get around the filters.

youtube Viral AI Reaction 2024-11-03T20:1… ♥ 1

Coding Result

Dimension	Value
Responsibility	company
Reasoning	consequentialist
Policy	liability
Emotion	approval
Coded at	2026-04-27T06:26:44.938723

Raw LLM Response

[
{"id":"ytr_UgwYSdfuDFylARL-XPR4AaABAg.AAOhMEMqvUaAFiJWHP98YY","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwYSdfuDFylARL-XPR4AaABAg.AAOhMEMqvUaAFiV1iYcsIz","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytr_UgwYSdfuDFylARL-XPR4AaABAg.AAOhMEMqvUaAFiYC2mBMbK","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytr_UgwU0I_diVRbdFvBi_t4AaABAg.AAOVHf1rFRGAAOXKaQG8pJ","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"approval"},
{"id":"ytr_Ugz0P02wktR-csIxli94AaABAg.AAOUeflQpmPAAQRal17rx3","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgxNF4OOMBmzoDD5MTh4AaABAg.AANIl6xvVt3AANJKpNifZd","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgxNF4OOMBmzoDD5MTh4AaABAg.AANIl6xvVt3AANj9eJHExv","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytr_UgxNF4OOMBmzoDD5MTh4AaABAg.AANIl6xvVt3AANlhgpIE-s","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytr_Ugzlap5q4fkLzfpfnVx4AaABAg.AANAL8C49QJAAPHx0XKPXE","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytr_UgyRXzY0Ye7ctPE4mop4AaABAg.AAMUz42qiIeAANXGeqMxbh","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"}
]

Raw LLM Responses