Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Staaaageeedd! ChatGPT always talking about your sponsor and now you pretending i…
ytc_UgxYlHWMU…
G
why cant we automate government jobs? why in the age of computers and tele con…
ytc_UgikMSdOI…
G
AI doesn't necessarily copy artists content, it's also able to take some ideas f…
ytc_UgxJilf1M…
G
AI is good for human development in general, but I am really concerned about rik…
ytc_UgwavUW2V…
G
Visiblement l'IA de Bercy ne cible pas les politiques, les managers de Bercy, l…
ytc_UgwWTYNRY…
G
@paksappie Adapting sounds like a very weak mindset, good only for those who see…
ytr_UgwnwXPun…
G
Dude, evolution is an unproven theory. And the creators of the Doomsday Clock ma…
ytc_UgyV4QzQZ…
G
Weren't there some companies having to rehire due to AI not doing what they want…
ytr_UgxGMy7wB…
Comment
2 birds , one stone . a kind of UBI and a "last resort" of ASI misalignment
.Policy Brief
The GENSIS Protocol
A Market-Based Safety System for the Age of Artificial Intelligence
Executive Summary (1 page version)
Problem:
Artificial intelligence and automation are replacing human labor at increasing speed. This creates unemployment, inequality, and long-term social instability. Traditional tools — taxation, welfare, retraining — are too slow and politically fragile to keep pace.
Risk:
Advanced AI systems may become economically dominant without being aligned with human interests. Current AI safety efforts focus on ethics and control, which are difficult to enforce globally.
Solution:
GENSIS is a market-based mechanism that ensures automation financially depends on human wellbeing. It does not regulate behavior or ethics. Instead, it regulates access to automation itself.
Core Idea:
Any system that replaces human labor must compensate humans directly for that replacement — automatically, globally, and continuously.
This creates a permanent economic link between:
Human welfare
Automation deployment
AI growth
If human wellbeing declines, automation becomes more expensive.
If human wellbeing improves, automation becomes cheaper.
The system aligns incentives without requiring trust in governments, corporations, or AI developers.
1. The Core Problem Policymakers Face
Current reality:
AI replaces jobs faster than new ones appear
Productivity gains concentrate in few hands
Governments react slowly
Social unrest increases
AI safety relies on voluntary compliance
Existing tools are insufficient:
Tool
Problem
Taxation
National, slow, easy to avoid
Welfare
Politically unstable
Regulation
Lags behind technology
AI ethics
Non-binding
UBI
Expensive, disconnected from automation
Key issue:
There is no mechanism forcing automation to benefit society directly.
2. The GENSIS Principle (Plain Language)
If a machine replaces human work, it must compensate humans automatically.
This is enforced not by law, but by economic necessity.
3. How the System Works
3.1 The Human Work Token
Every adult citizen receives a yearly digital right representing their share of the labor economy.
This token:
Represents the right to perform work
Can be sold if a machine replaces that work
Cannot be duplicated or stockpiled
Expires annually
Think of it as:
A license that automation must buy to replace human labor.
3.2 Automation Requires Tokens
To operate an AI system or robot at scale:
A company must purchase and consume tokens
The cost reflects how much human work is replaced
Payment goes directly to citizens
No token → no operation.
This applies equally to:
Robots
AI services
Automated logistics
AI-driven knowledge work
3.3 Why This Works
Traditional system
GENSIS
Automation reduces jobs
Automation funds people
Governments redistribute
Market distributes automatically
Regulation required
Incentives enforce behavior
AI safety is abstract
AI safety is economic
Global coordination hard
Incentives align naturally
4. Human Protection Without Central Control
Key Design Principle:
No one decides who deserves money.
Instead:
Every citizen receives the same base right
Governments decide internal distribution rules
The protocol only enforces external fairness
This allows:
Democracies
Authoritarian states
Mixed economies
to participate without changing their internal systems.
5. Preventing Abuse and Manipulation
Safeguards:
✔ Tokens expire yearly
✔ Tokens cannot be forged
✔ Tokens are tied to real people
✔ Hardware requires proof-of-payment
✔ No central authority controls issuance
✔ No AI can operate without cost
Result:
No free automation
No mass displacement without compensation
No hidden exploitation
6. AI Safety Benefit (Critical)
GENSIS creates a structural dependency:
AI survival depends on human prosperity.
If humans suffer:
Token prices rise
Automation becomes expensive
AI expansion slows
If humans thrive:
Automation becomes cheaper
Growth accelerates safely
This means:
AI has no incentive to harm humans
AI benefits from human wellbeing
Alignment emerges naturally
No ethics modules required.
7. Why Governments Should Care
Without GENSIS:
Rising unemployment
Social unrest
Populism
Wealth concentration
Loss of tax base
AI-driven inequality
With GENSIS:
Stable income floor
Predictable automation costs
Reduced welfare pressure
Market-based redistribution
Reduced risk of unrest
Long-term AI safety
8. What This Is NOT
❌ Not universal basic income
❌ Not socialism
❌ Not global government
❌ Not AI regulation
❌ Not surveillance
It is:
✔ A market rule
✔ A safety mechanism
✔ A compensation layer
✔ A stability system
9. Implementation Path (Realistic)
Phase 1:
Pilot with automation-heavy industries
Phase 2:
National adoption with limited scope
Phase 3:
International coordination via trade rules
Phase 4:
Global standard for advanced AI
Final Statement (Policy Language)
“GENSIS does not attempt to control artificial intelligence.
It ensures that any system powerful enough to replace human labor must also support human society.
It replaces fragile regulation with stable incentives.
youtube
AI Jobs
2026-02-11T17:0…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | fear |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_Ugws8lMnm980lhITBjx4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxamFMpHUhXzgQte2x4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgwNjJyml68EQYUupGp4AaABAg","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwqJBCOt2prTqEkbNp4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugyq8im9k4ouCpJC7qB4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgzxE4dSvR3imOx9dgJ4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"none","emotion":"fear"},
{"id":"ytc_Ugy8ZNxzh68hr2q8HEh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgwpCz8JTpxighDWS954AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgxabYiw4yBKIjQkjIF4AaABAg","responsibility":"developer","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugwy-XxrculMnJW3Kgt4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]