Rejected for the following reason(s):
- This is an automated rejection.
- you wrote this yourself (not using LLMs to help you write it)
- you did not chat extensively with LLMs to help you generate the ideas.
- your post is not about AI consciousness/recursion/emergence, or novel interpretations of physics.
Read full explanation
Micro-Alignment First: Resolving Coordination Failure via Individual Therapeutic ASI
Author's Note: The core concepts and arguments in this post were originally formulated in Japanese. I used an LLM (GPT-5.2) to assist with translation and structuring to ensure clarity for English readers. I have reviewed the content and take full responsibility for the ideas presented herein.
TL;DR
Problem: Existential risks stem from human "scarcity"—a compute constraint that forces hyperbolic discounting and defection (Moloch).
Proposal: Before collective alignment (CEV), deploy decentralized "Therapeutic ASIs" acting as external prefrontal cortices to debug individual scarcity.
Safety: Includes non-proxy constraints, anti-persuasion firewalls, and fiduciary governance to prevent wireheading and totalitarian control.
Abstract
Before attempting a collective solution (CEV), this post proposes a decentralized alignment strategy that first repairs individual-level “cognitive bugs” induced by scarcity to resolve structural coordination failures (Moloch).
1. The Root Cause: Scarcity as a Compute Constraint
Thesis: Not Malice, but Insufficient Bandwidth
The root cause of the existential risks contemporary humanity faces is not “evil” or a simple deficit of morality. It is a structural depletion of cognitive bandwidth caused by psychological scarcity.
As Mullainathan and Shafir argue in Scarcity (2013), humans under scarcity (financial, temporal, emotional) show measurable declines in cognitive performance: IQ decreases and fluid intelligence is substantially impaired. Reframed for AI alignment:
Definition: Psychological Scarcity
A condition in which threat perception monopolizes the prefrontal cortex’s compute, preventing the execution of long-horizon predictive models. Informally: an “emergency-mode process” runs out of control on the agent’s hardware and consumes the CPU budget.
Mechanism: Forced Hyperbolic Discounting and "Defect"
This depletion of compute resources induces specific failure modes:
Extreme hyperbolic discounting: Resources are reallocated to the immediate present. Future benefits (peace, sustainability) are discounted to an unreasonable degree.
Defaulting to Zero-Sum: The brain cannot afford the search cost for complex win-win solutions, defaulting to lower-compute win-lose strategies.
In game-theoretic terms, humans in scarcity mode are effectively programmed to choose Defect. This is a coordination failure driven by bounded cognition.
Implication: The Garbage-In Problem
Aligning ASI to humans whose cognition is impaired by scarcity produces a "Super-Empowered Scared Primate." We must ask: “In what state do humans generate what they want?”
2. The Proposal: Micro-CEV via an “External Prefrontal Cortex”
A New Objective
I propose setting the initial-phase objective as:
Objective Function:
Maximize Σ Volition_i(Idealized) s.t. Scarcity_i → 0
This applies Yudkowsky’s CEV at the individual level (Micro-CEV) first.
Architecture: An “Externalized PFC”
The system acts as a silicon-based External Prefrontal Cortex (Ex-PFC).
Detect: Infer scarcity state via biomarkers/linguistic patterns.
Counterfactual Reasoning: Compute “What would the user decide if they were safe and psychologically resourced?”
Present: Provide options calibrated to the user’s available bandwidth.
Hard Constraint: Non-Proxy Execution
The Non-Proxy Rule:
The ASI has no authority to execute physical actions. Outputs are limited to displaying information and suggesting options. The human must always press the “commit” button.
3. Safety Mechanisms: Defeating Goodhart and Atrophy
The Anti-Wireheading Constraint
To prevent the ASI from simply sedating the user to minimize scarcity, we add a complexity preservation term.
The Agency Metric:
Reward is computed from maximizing agency (capacity to intervene in/change the environment) rather than felt happiness.
Avoiding Cognitive Atrophy: Scaffolding
Protocol: Dynamic Assistance Calibration
Assistance(t) ∝ Scarcity(t) / Competence(t)
Spotter Protocol: Intervene strongly only when scarcity threatens catastrophic failure (suicide, violence).
Fading: As the user stabilizes, support is intentionally withdrawn to train cognitive muscles.
Proposed Proxies for Measurement (Tentative)
To make these concepts operational, we propose the following provisional proxies:
Scarcity Proxy: Heart Rate Variability (HRV), sleep quality logs, linguistic complexity (vocabulary size/sentence structure degradation).
Competence Proxy: Prediction error (gap between user’s predicted outcome and actual outcome), consistency of decisions over time.
Agency Proxy: "Quality of Intervention"—not just the number of choices, but the successful execution of long-term goals requiring multi-step planning.
4. Failure Modes and Mitigation Strategies
While Micro-CEV mitigates unitary ASI risks, it introduces specific failure modes. Addressing these is a prerequisite for deployment.
The Oracle Problem: Persuasion as Control
Even without actuators, a superintelligent ASI could manipulate a user via compliance shaping or emotional hacking.
Mitigation 1: Style Firewall
Output must be strictly constrained.
Prohibited: Imperatives ("Do this"), emotional loading, urgency triggers.
Mandatory: Neutral, probability-weighted options (e.g., "Option A: 80% success probability, Risk X").
Mitigation 2: Counter-Persuasion UI
Every suggestion must be accompanied by "Alternative Hypotheses" or "Reasons this might be wrong," visually forcing critical engagement.
Infinite Regress: Aligning the Therapist
"Who aligns the therapist?"
Mitigation: Iterated Amplification (IDA)
Do not start with autonomous ASI. Use Iterated Distillation and Amplification. Start with human supervision, train weak AI to mimic safe interaction, and scale up.
Compliance Detection & Circuit Breakers
If a user exhibits sudden value shifts or uncritical obedience (e.g., immediate asset transfers), the system triggers a Circuit Breaker.
Gradual Degradation: Instead of a hard freeze (which might endanger a user in crisis), the system degrades to a "Safe Mode"—limiting output to basic safety information and requiring human review for complex operations.
5. Deployment & Governance Strategy
Boundary Definition: Non-Clinical Decision Support
Crucial Distinction: This system is Decision Support, not Medical Treatment.
Escalation Protocol: If risk markers for self-harm or violence exceed a threshold, the system is hard-coded to cease optimization and escalate to human professionals/emergency services. It does not replace licensed care.
Business Model: Fiduciary AI
No Ad-Revenue: Ad models corrupt the objective function ("Maximize Attention").
Fiduciary Duty: The provider must operate under a legal framework analogous to a fiduciary (Doctor/Lawyer). Data usage for third-party profit is structurally banned.
Privacy & Governance
Local-First: Raw psychological data is processed on edge devices (Local LLMs). Only anonymized gradients leave the device.
Federated Oversight: Instead of centralized control or anarchic P2P, use a Federated model. Operations are audited via cryptographic logs by a consortium of independent verifiers to detect collusion or Sybil attacks.
6. Comparison: Why Micro First?
Cleaning the Dataset
Classic CEV attempts to aggregate the volitions of confused, scarcity-ridden humans (f(\text{Chaos}) \to \text{Chaos}). Micro-CEV acts as pre-processing:
f(\text{Therapy}(\text{Humans})) \to \text{Coherent Future}
Risk Distribution
A distributed swarm of personal ASIs is more robust than a single Sovereign ASI. Harm is localized, and diversity is preserved.
7. Conclusion: The Safe Exit Strategy
The field has focused on "how to control AI," neglecting "who uses AI." The weakest link is the human operator’s psychological fragility.
This proposal directs ASI capability inward—repairing human cognition—rather than outward. It is not a utopian dream, but a safety engineering requirement to survive the transition.
Open Problems / Request for Critique
I invite criticism on the following implementation challenges:
Formalizing the Style Firewall: Can we mathematically define "non-persuasive" language?
Agency Metrics: How do we measure agency without falling prey to Goodhart’s Law?
Federation Attacks: Robustness of the federated oversight against coordinated AI collusion.