Raw LLM Responses
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G
Try running the agent in parallel to your current work, and write notes with pen…
rdc_oi1u2pq
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So let it sink in, when automation came in, does those workers have UBI, nope, d…
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G
Listing ai as a tool is a slippery slope. How far do we go? Guitar is a tool the…
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G
Lmao, better than me? I am am the keeper of the unified fields. Everything you'v…
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G
I honestly prefer the AI follows whatever goal it comes up with and kills us all…
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G
I am reminded of the Robot in Lost in Space when it had a meltdown😂😂. Dr Smith o…
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G
So, we are all guilty until proven innocent
This is another reason I would nev…
rdc_oaz5h3t
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At no point did chatGPT become confused. This an example of how not to use click…
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Comment
Ironically, I asked AI … this is what was produced:
Say we get really capable AI (and especially AGI), a lot of “knowledge work” stops being scarce. The punchline: humans don’t become useless — but the value of being human shifts.
Here’s what I think humans will still do (and why), even if AI gets scary-good.
Jobs that stick because they’re “human-trust” work
These are roles where the product is not just the outcome — it’s the relationship, accountability, and consent.
• Therapy, counselling, coaching, mediation, chaplaincy, social work : people don’t just want answers; they want to be held by a safe nervous system and a real human who carries responsibility.
• Teachers, mentors, youth workers: not for content delivery — for attunement, motivation, belonging, identity-building.
• Leaders/managers (the good kind): conflict, values, trust, morale, meaning, hard calls.
• Care roles: disability support, aged care, childcare, nursing — because touch, presence, and trust are not a “nice to have”.
AI can assist these jobs massively. But the human is the point.
Jobs that stick because they’re “in-the-world” work
Robots will grow, but reality is messy, wet, political, and full of edge cases.
• Trades: electrician, plumber, builder, mechanic, locksmith.
• Field work: emergency services, paramedics, firefighters, disaster response.
• Hands-on healthcare: procedures, bedside care, physical rehab.
• Hospitality and events: restaurants, festivals, travel experiences, guiding.
Even with robots: deployment, maintenance, liability, and the sheer chaos of real environments keep humans in the loop.
Jobs that stick because humans decide what “good” is
Even with perfect prediction, someone has to set goals and ethics.
• Governance & regulation: auditing AI, compliance, policy, standards.
• Safety and alignment work: testing systems, red-teaming, incident response.
• Courts / arbitration / investigations: society often requires a human decision-maker for legitimacy.
• Ethics roles embedded everywhere: health, education, disability, finance.
Jobs that stick because humans want human-made things
Scarcity flips. “Made by a person” becomes the luxury signal.
• Artists, writers, musicians, performers
• Craft and bespoke work: woodworking, ceramics, tailoring, tattooing
• Local creators + community businesses
• Experience designers: retreats, immersive theatre, boutique travel
People will still buy “real” the way they buy vinyl, handmade bread, live gigs.
New-ish jobs that expand
AGI doesn’t just delete work — it creates weird new categories:
• AI operators / workflow designers (people who can orchestrate AI to do real work)
• Human-AI translators (turn messy human needs into precise specs and back again)
• AI auditors (bias, safety, evidence integrity, “prove this output is grounded”)
• Personal systems designers (helping people build life scaffolding: routines, tools, supports)
• Community builders (online/offline): belonging becomes economic infrastructure
The uncomfortable truth
If AI gets very strong, the real risk isn’t “no jobs.” It’s:
• wealth concentrates (owners of capital + models win),
• middle jobs hollow out,
• and society has to decide whether we do UBI / reduced work weeks / new safety nets.
So yes, some people may not “need” jobs to survive if society redesigns the rules. If we don’t redesign them, we get instability.
youtube
AI Governance
2026-02-17T21:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | approval |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgzBPTEfirV4HWzyfnd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugx454tiBb8Jd2XoWbd4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwZzBX80YZJcGswMxt4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxgluA8GSvijojRNU54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgxsiWl6yveLGBJHZBl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyhmwX330zMsai4R7h4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgzvhDNjmF16OZxcQSd4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugy4Kap1TExeG2fBlAx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxfUDH0zQ4feaMxwEB4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxV2bn20-0pngxW9SV4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"fear"}
]