Raw LLM Responses
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G
Oh really? Then show me. Show me that a fcking machine without any real emotions…
ytr_Ugz6tJQ8b…
G
Pay $2 per five minutes on your support call with human or free with AI. How man…
rdc_jrot1v3
G
Because the pro ai people are using their bots to spam their viewpoint everywher…
rdc_ofhb6jy
G
This is like calling your self an artist because you commissioned someone else t…
ytc_Ugw3eljF8…
G
Tesla's excuses are BS and they know it, the technology to limit access to self-…
ytc_UgwYfFMHV…
G
Besides Boston Dynamics videos This is by far the most advanced video I have cam…
ytc_UgzNtWPNX…
G
I am sorry but you are wrong. Human face has around 40 muscles that can produce …
ytc_UgzGdqLeA…
G
Hell no you cant trust AI, they don't do what YOU want them to do, they do whate…
ytc_Ugxi4j2EJ…
Comment
The "AI Tsunami" discussed by Siddharth Sureka and Rahul Jain is the inevitable mechanical precursor to the Zero Work Theory (ZWT) era. As automation accelerates, the traditional "labor-for-survival" model is reaching its breaking point. We must stop viewing these job losses as a catastrophe to be avoided and start recognizing them as the threshold to a Contribution Economy. The rational response to this technological wave is not passive waiting, but active advocacy for a system that decouples human value from compulsory toil, allowing us to pivot toward our true humanitarian missions.
The math already supports this vision. In the U.S., a $1,500+/month ($20,000/year) stipend per citizen is fiscally feasible through a 40% flat AGI tax on $26 trillion in personal income. This generates $10.4 trillion to fully fund UBI, healthcare, and education. This AGI Mandate ensures that the "tsunami" of productivity builds a future of inclusive abundance rather than one of displacement. We must champion UBI as a structural necessity to ensure that as AI scales, the benefits of that progress belong to the electoral majority.
youtube
AI Jobs
2026-03-24T14:4…
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_UgxKTYVaZtyBx3m9Zzt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugznc4pWXRHvGqIMekB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"fear"},
{"id":"ytc_Ugwg0Vgg2tGumPE_Odp4AaABAg","responsibility":"distributed","reasoning":"deontological","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgyVXuywq4t3UR3N6OB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgweLnRVjuDNrym3GZN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy2gvZsda40hRunH4d4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx_jUyL-g4e_hf2t4N4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugzkm72RzSZMuA4iPQJ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_UgxyFaNdQdtOo1-yRHt4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgzaU5GMVUxoE9RzhIh4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"indifference"}
]