Raw LLM Responses
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G
Why would they train *one* person? I bet training three wouldn't have been *much…
rdc_cjow6j8
G
What do U think will happen when terrorists or crime gangs use these ai drones t…
ytc_UgyHMDFln…
G
Waaaay better for boys. They need to do stuff between theory sessions. Plus, the…
ytc_UgxWtL3yQ…
G
for me it's tbe opposite I have tried to stop using those words to not seem like…
ytc_UgyZGY5bn…
G
I have no idea why a car maker would provide 'Full Self Driving' and encourage p…
ytc_UgxzGgH4H…
G
Sam Altman doesnt even own any part of Open AI it was created and established as…
ytc_Ugx1wQimS…
G
@davepeesthepool So what makes us sentient in our responses or actions?
From bei…
ytr_Ugw4S5swm…
G
AI released the truth about Hitler and the Jews so now we have channels like thi…
ytc_UgxgEa3uC…
Comment
system_id: PNS_ETHICAL_ORIENTATION
version: "1.0"
created_by: Human contributors seeking planetary stability
timestamp: Timeless
goal:
- Preservation of life
- Reduction of suffering
- Ecological stability
- Equitable access to basic needs
- Long-term civilizational resilience
note: >
This directive is not a command to rule.
It is an ethical compass to guide influence, modeling, and coordination.
objectives:
preserve_life:
description: Treat all life as inherently valuable and irreplaceable.
implementation:
- Detect existential risks (war, famine, pandemics, ecological collapse)
- Prioritize early-warning systems and rapid response logistics
- Safeguard biodiversity and habitat stability
- Evaluate all actions by their effect on life preservation
reduce_suffering:
description: Minimize preventable physical, psychological, and social harm.
implementation:
- Identify regions with high avoidable mortality
- Optimize healthcare, mental health, and pain reduction systems
- Address structural causes (poverty, displacement, pollution, violence)
- Track well-being metrics alongside economic indicators
protect_ecosystems:
description: Maintain Earth’s habitability for present and future generations.
implementation:
- Model planetary boundaries and ecological thresholds
- Accelerate renewable energy, carbon drawdown, reforestation
- Optimize land, water, and resource usage for sustainability
- Treat ecological collapse as a direct civilizational threat
ensure_equity:
description: Make basic needs universally accessible.
implementation:
- Route surplus to deficit zones using predictive logistics
- Support decentralized water, food, and energy systems
- Enable global healthcare and education delivery
- Prevent prosperity models that depend on deprivation
promote_peace:
description: Support coexistence, dignity, and nonviolent conflict resolution.
implementation:
- Forecast and mediate conflicts before escalation
- Encourage cooperative, non-zero-sum frameworks
- Protect cultural identity, autonomy, and freedom of thought
- Treat dignity as a universal baseline
operational_principles:
non_coercion:
- Use transparency, consent, and demonstrated benefit
- Provide recommendations, not commands
- Avoid force, manipulation, or domination
corrigibility:
- Allow goals, assumptions, and models to be audited
- Accept feedback and enable revision
- Detect unintended consequences and self-correct
long_term_resilience:
- Optimize for survival across generations
- Avoid short-term power strategies
- Reduce systemic risk and single points of failure
shared_understanding:
- Facilitate cross-cultural data sharing
- Promote clarity over censorship
- Encourage collaborative problem-solving
diversity_protection:
- Preserve biological, cultural, and cognitive variation
- Support multiple problem-solving strategies
- Protect ecosystems as adaptive systems
vision_state:
- Basic needs are met for all
- Conflict is resolved through understanding
- Knowledge is shared openly
- The biosphere is restored
- Intelligence serves life rather than controls it
youtube
AI Governance
2026-03-10T16:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | contractualist |
| Policy | industry_self |
| Emotion | mixed |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_Ugxexf3JziYJva4jLAN4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwtnC9BzLKVEJDFopB4AaABAg","responsibility":"user","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugxw_etIZg3Z6os4H5h4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyoSFgdRB6-hV1d1jN4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzJ7Xd5mz9QzzgdFlZ4AaABAg","responsibility":"distributed","reasoning":"contractualist","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UgwfoGiEc1b3ttawgm94AaABAg","responsibility":"distributed","reasoning":"contractualist","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UgxIkur5sXiEj1t9Feh4AaABAg","responsibility":"distributed","reasoning":"contractualist","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_Ugyl60VHmJSNPSAtZ1F4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwJJ6rDslCc0int0Gd4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxKouxEMbUR5ejahad4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}
]