Raw LLM Responses

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G Why are they blaming a chat bots when there’s free ai image generator/editor out… ytc_UgxfJA6iA… G To be honest, chatgpt helped me cope with some REAL tough moments that humans co… ytc_Ugy42oPw4… G You don't need facial recognition if everyone has surveillance cameras, with com… ytc_UgzvWz3e2… G licensed truck drives are three times the number of truck available, meaning eac… ytc_UgzU36z0L… G Im imagining the day in 20 years where i wake up next to my wife and our dogs in… ytc_UgwL0iro5… G The give away I think is when the robot shooting the gun moves his head forward.… ytr_UgzvVPh2i… G I watched this 3 years ago and got worried. Here I am 2025 showing my husband an… ytr_UgzQSzY-l… G Is it too much trouble to do a little research? If they only picked up one artic… ytc_Ugz9etofk…
Comment
When “reverse socialism” is fine for capital, but UBI is a “handout” to labor... The diagnosis of AI-driven displacement, weak labor power, and massive subsidies for capital (“reverse socialism,” as Jon put it) was hitting on a lot of significant issues. My spidey sense tingled a bit when the guests were praising globalization for reducing extreme global poverty without touching on the exploitation of the Global South. It all came together near the end when they touched on Universal Basic Income (David Autor: “I hate UBI!” wut??), and the limits of the conversation became painfully clear. Redistribution upward is treated as normal, if not the professors’ explicit preference, while redistribution downward is framed as something that would destroy the economy (“millions of people not working would destroy the economy!” lol). What’s the data showing that *everyone* would stop working if their basic needs were met? It’s wild because it was an intelligent discourse, but it was also very self-limiting. These folks seem only capable of operating within the existing paradigm of capitalism and are consciously (and emotionally?) constraining both their imagination and their tolerance for “acceptable” solutions. They can map the consequences of the system in great detail, but never get anywhere near questioning the system itself.
youtube AI Governance 2026-04-22T23:4… ♥ 2
Coding Result
DimensionValue
Responsibilitycompany
Reasoningcontractualist
Policyregulate
Emotionoutrage
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[ {"id":"ytc_UgynOHfES6ydb7xQKqF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}, {"id":"ytc_Ugy76R2rzw77QVeOXyR4AaABAg","responsibility":"government","reasoning":"deontological","policy":"ban","emotion":"outrage"}, {"id":"ytc_UgwgjgQxo3UeFHBvR-d4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"liability","emotion":"outrage"}, {"id":"ytc_UgzyN-aa-ptj766oStN4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"ytc_Ugw1oeuder8y9ic2Sfh4AaABAg","responsibility":"company","reasoning":"contractualist","policy":"regulate","emotion":"outrage"}, {"id":"ytc_UgzFGwx-qcusGIcrRu94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"}, {"id":"ytc_Ugw7FqwmZl21ogI3HS54AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"resignation"}, {"id":"ytc_UgwFXn2j7ZxjWKUd8Ox4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"approval"}, {"id":"ytc_UgwDtdiuOyNzpB_088F4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"}, {"id":"ytc_Ugy7WvN5uEjtjR3_-Dh4AaABAg","responsibility":"government","reasoning":"deontological","policy":"liability","emotion":"outrage"} ]