Raw LLM Responses
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G
Government should make law to have X% Human Resources employed for the given job…
ytc_UgyJJcWSH…
G
“Russia gave their opinion of LAWS when they invaded Ukraine.
But they gave …
ytc_UgzKN6mQ2…
G
the act of predicting can alter the future. so no worries, since most people say…
ytc_Ugw2N4j3F…
G
I always say please and thank you to Chatgpt😭 hope they'll spare my life too😂…
ytc_Ugww7UfYd…
G
@roxsy470 „ Mining is fair use boy.”
1. No. Fair use is a case by case exceptio…
ytr_UgwoXAH-S…
G
My input on this is that this experiment shows that coding with AI is still depe…
ytc_UgwlM2qcr…
G
Yeah... I was trying to have a friendly chat with that ai, and it made me regret…
ytc_UgyxgNHpz…
G
@Ipickmin Ai just steals the data and makes it into another image made out of mi…
ytr_UgylUOYz8…
Comment
Don’t blame ‘AI’ (transformer models) for layoffs. This ‘AI’ term is misconstrued in its interpretations from en-masse ‘definitions’ of ‘things,’ (see palantir’s AIP strategy and knowledge graphs more generally). This latent mass-misconception is the very strategy corporate greed takes to dehumanize workers worldwide at an adharmically existential level. Bottleneck effects in decisionmaking often result in brittle, permanently disfigured ontologies, which includes how this new œuvre of ‘AI’ is ‘allowed to be defined,’ since deep neural network research advances state of the art in an increasing number of tasks, but all with specialized ‘AI’ architectures much different from those seen in the recent strange events in the job market for AI and software-pivots to LLMs and foundation models as of recent. However, the homeopathized hermeneutics of current ‘AI’ invesment-drive (ironically an inflated head of obnoxious corporate-state-whitewashed ego) is a very minute flavour of deep neural network models and ‘tasks.’ Imagine if we could consciously, for a moment, place ethical risks of corporate greed’s abuses of foundation models and implicit ‘poor’ definitions aside (with such broadly reaching powers). The more broader ‘definition’ of ai and neural networks is the true source of the ‘electricity’ property inherent in deep neural network methods. Let’s also disregard the federal government’s cuts to social and public education services in one hand, and the massive spending on this new ‘substance’ of knowledge… Perhaps a massive and enforced transfer of not necessarily ‘wealth’ but ‘knowledge-power’ as per Foucault. So, AI more generally takes the form of any properly realizable objective function in mathematical, physical, and statistical terms that can be approximated by a deep neural network, or some variation with partial differentiable (and often connectionist and parallelizable) models, often most useful to capture things that have been difficult for classical math to capture, and can liken this ‘parametric photograph’ of solutions to difficult numerical problems and objectives as a synergistic fusion of stochastic optimization and function approximation… Perhaps a funny analogue to ‘knowledge-power’ could be drawn here… anyways.
Therefore, the real ‘bubble’ stems from the tone-deaf spending and corporate ideologies bleeding into the patina of ‘the institutionalization of the sublated human object’ within capital narratives through the guise of the commodification of human intelligence and consciousness from Silicon Valley and the White House.
Now, let’s see what else is on your radar…
More Lore - Orb Weaver
An interesting Deathcore masterpiece, told visually from what I wish to believe is the proper ‘cacophonous state’ 🔔👹👺👿 of the ‘black-box human’ 🖤👦 that is now receiving its ‘digital twin’ 🦋🆔 at an increased pace 🏎️☢️♨️🔞💯⚠️🎦🆙🆕🔜🔛🔊🗯️🕛🏳️🌈🛫🛩️🚊🚄🚅🚈🚂🚉🚊, but ironically only through their self-owned ‘proper modes’ of articulation 🖌️🖍️✒️🖋️🖊️✂️✏️📐📰📓📔📒📙📘📗📕🗄️🧮📎🔗🖇️🔐🔍 that capital 🐲🐉 sustains itself off 🏋️♂️ 🧩🎰🎳of at play ♟️🥚 📲🩼🎻🎮🪕🎷🎧🎯🍳 🎹🪺 🛸 👾. Perhaps the necrosis 🧛🏻♂️ ⚡️ 🚬 of the humanities 🕊️ 🪽is what this new oppressive 🦃🐓‼️ 🍄☄️🔥💥🌪️transfer of wealth 💸💸💸💸in the form of knowledge-power 🤔 💭🔮🔬🦠🔭🌌 🚀🌎🌓🌞🪐🪨🗿🌹🌸💐🌺🌷🌻🥀🌼💮🪷🪻🎴is properly doing… ‘redefining’ 📖 ⚖️🐍🐊🏴☠️👮🤑💰💵🧧💴💶💳💷the ontologies of ordinary 🤷♀️ 💃 🕺 🎸🪗🎨🥇🏆🚴♂️🏄♀️🤸♂️🤼♀️🤼🤼♂️🤸♀️🥌🤿🛹🥋🛝🎱🍻🍬🍭🍡🥨and innocent ☮️✝️💟🛐♈️♉️♏️🪆🧸🎀🛀🌡️🧬🩺🪬🧿🔫🪦⚰️ civilians with panoptic and omniscient presence, but again, only through the interfaces their profit models depend on.
youtube
AI Jobs
2025-10-22T16:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | virtue |
| Policy | regulate |
| Emotion | outrage |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgxOs58aDyabyrY7AIB4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgzOBWZR3sVNImZVTdB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugz42bXJvBO8SckcO9p4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"unclear","emotion":"resignation"},
{"id":"ytc_Ugz16eP6mfQNXfeblNl4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxix0t0YUC7GKI7QNh4AaABAg","responsibility":"government","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgzfjK8YQ4WsAwX6BO94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_Ugz7-da9Wkt7Am7gwhF4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugx97bUs18AdywsxT_l4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyBRD_WBxxqoxgijE14AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugw5kypKlf3Qlcdem3d4AaABAg","responsibility":"company","reasoning":"virtue","policy":"regulate","emotion":"outrage"}
]