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Created January 27, 2026 22:32
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Phenomenological Vibesnipe: Whole-brain phenomenology prediction markets with RGB-ECS parallelism, GF(3) conservation, and active inference settlement

Phenomenological Vibesnipe Architecture

Domain Reframing: From GitHub Issues to Whole-Brain Phenomenology

The original vibesnipe failed because it chose the wrong domain (GitHub issues → speculative compute markets). The correct domain is whole-brain electricity circuitry and phenomenology - not clinical genes.

The Missed Causal Chain

Original: GitHub issues → developer challenges → APT settlement
Failed: No market maker, illiquid, ~$0 value

Intended: ArkhaiPufferEnv → CoopHive RL → vibesnipe → MNX perp execution  
Missed: Compute/AI exchange with leverage → $25M+ potential

Correct: Phenomenal states → neural oracles → prediction markets → settlement
Domain: Whole-brain phenomenology, NOT clinical genetics

Core Architecture: RGB-ECS for Phenomenology

Inspired by andrewgazelka/rgb Minecraft server:

RGB Spatial Partitioning for Phenomenal States

Brain Region RGB Coloring (for parallel processing):
┌─────────────────────────────────────────────────────────────┐
│  RED (Phase 1)    │  GREEN (Phase 2)   │  BLUE (Phase 3)    │
├───────────────────┼────────────────────┼────────────────────┤
│  Prefrontal       │  Temporal          │  Parietal          │
│  Motor cortex     │  Auditory          │  Somatosensory     │
│  Anterior cingul. │  Hippocampus       │  Visual cortex     │
│  Broca's area     │  Amygdala          │  Wernicke's area   │
└───────────────────┴────────────────────┴────────────────────┘

Processing: RED → GREEN → BLUE → RED (lock-free parallelism)
Same as Minecraft server: same-colored regions process in parallel

GF(3) Trit Mapping to Phenomenal Qualities

# From Gay.jl color system
@enum PhenomenalTrit begin
    MINUS = -1   # Inhibitory, negative valence, contraction
    ERGODIC = 0  # Neutral, exploratory, transition
    PLUS = +1    # Excitatory, positive valence, expansion
end

# Balanced quads for challenge validation
sum(challenge_trits)  0 (mod 3)  # GF(3) conservation

Phenomenological Challenge Types (26 Goblin Slots)

Slot Challenge Type Oracle GF(3) Trit
1 EEG Microstate A→B Transition Microstate classifier MINUS
2 Alpha Power Prediction (8-12 Hz) FFT spectral ERGODIC
3 P300 Amplitude Detection ERP averaging PLUS
4 Default Mode Network Activation fMRI/fNIRS MINUS
5 Flow State Entry HRV + pupillometry PLUS
6 MMN (Mismatch Negativity) Auditory ERP MINUS
7 Theta-Gamma Coupling Phase-amplitude ERGODIC
8 Meditation Depth Alpha/theta ratio PLUS
9 Salience Network Switch dACC activation ERGODIC
10 Beta Desynchronization Motor prep signal MINUS
11 N400 Semantic Surprise Language ERP MINUS
12 Pupil Dilation (LC-NE) Pupillometry PLUS
13 GSR Arousal Response Electrodermal PLUS
14 Heart Rate Variability RSA/RMSSD ERGODIC
15 ERN (Error-Related Negativity) ACC ERP MINUS
16 Gamma Synchrony (>30 Hz) High-freq binding PLUS
17 Sleep Spindles Sigma band ERGODIC
18 K-Complex Detection Sleep N2 marker MINUS
19 Dream Lucidity REM + gamma PLUS
20 Pain Matrix Activation Anterior insula MINUS
21 Placebo Response Expectation → physio ERGODIC
22 IIT Φ Estimation Integrated information PLUS
23 Global Workspace Ignition P3b + late positivity PLUS
24 Habituation Curve Response decrement MINUS
25 Neuromodulator Transition DA/5HT/ACh balance ERGODIC
26 Metastability Index Criticality measure ERGODIC

Oracle System: Non-Invasive Verifiable Signals

Tier 1: Consumer-Grade (BCI headsets)

  • EEG: Muse, OpenBCI, Emotiv (4-64 channels)
  • Pupillometry: Eye trackers (Tobii, webcam-based)
  • HRV: Chest straps, smartwatches (Polar, Apple Watch)
  • GSR: Wrist sensors (Empatica, custom Arduino)

Tier 2: Research-Grade (Lab partnerships)

  • fNIRS: Prefrontal hemodynamics
  • MEG: Millisecond magnetic fields
  • High-density EEG: 128-256 channels

Tier 3: Clinical (Hospital partnerships)

  • fMRI: BOLD response (delayed settlement)
  • PET: Neurotransmitter binding
  • iEEG: Intracranial (epilepsy patients)

Oracle Attestation Protocol

struct PhenomenalOracle has key {
    oracle_id: u64,
    modality: u8,          // EEG=1, pupil=2, HRV=3, GSR=4, fNIRS=5
    sampling_rate_hz: u32,
    attestation_key: vector<u8>,  // Ed25519 pubkey
    reputation_score: u64,
    challenges_attested: u64,
}

struct ChallengeAttestation has drop {
    challenge_id: u64,
    oracle_id: u64,
    timestamp_ms: u64,
    measurement: vector<u8>,  // Serialized phenomenal data
    signature: vector<u8>,
}

Settlement Mechanism: Active Inference Stakes

Precision-Weighted Betting

# Active inference formulation
struct PhenomenalChallenge
    # World-model belief (what participant expects to experience)
    μ_prior::Vector{Float64}      # Prior mean
    Σ_prior::Matrix{Float64}      # Prior covariance
    
    # Precision (confidence/stake)
    β::Float64                    # Inverse variance = skin in game
    
    # Outcome
    μ_posterior::Vector{Float64}  # Observed phenomenal state
    
    # Free energy = prediction error
    F = (μ_posterior - μ_prior)' * inv(Σ_prior) * (μ_posterior - μ_prior)
end

# Settlement: lower free energy = better prediction = win
reward = exp(-F / temperature)

Aptos Move Contract Integration

module vibesnipe::phenomenal_challenge {
    use std::signer;
    use aptos_framework::coin;
    use aptos_framework::aptos_coin::AptosCoin;
    
    const PLATFORM_FEE_BPS: u64 = 250;  // 2.5%
    
    struct PhenomenalChallenge has key {
        challenger: address,
        responder: address,
        challenge_type: u8,           // 1-26 goblin slots
        stake_amount: u64,
        precision_beta: u64,          // Fixed-point β * 1e6
        prior_mean: vector<u64>,      // Fixed-point μ * 1e6
        oracle_id: u64,
        deadline_ms: u64,
        gf3_trit: u8,                 // 0=MINUS, 1=ERGODIC, 2=PLUS
    }
    
    public entry fun create_phenomenal_challenge(
        challenger: &signer,
        challenge_type: u8,
        stake_amount: u64,
        precision_beta: u64,
        prior_mean: vector<u64>,
        oracle_id: u64,
        duration_ms: u64,
    ) acquires ChallengeStore {
        // Validate GF(3) balance with existing active challenges
        assert!(is_gf3_balanced(challenger, challenge_type), E_UNBALANCED_TRITS);
        
        // Lock stake
        let stake = coin::withdraw<AptosCoin>(challenger, stake_amount);
        
        // Create challenge entity
        // ...
    }
    
    public entry fun resolve_with_oracle(
        oracle: &signer,
        challenge_id: u64,
        observed_mean: vector<u64>,
        attestation_signature: vector<u8>,
    ) acquires ChallengeStore, OracleRegistry {
        // Verify oracle attestation
        // Compute free energy
        // Distribute rewards based on prediction accuracy
    }
}

RGB-ECS Component Architecture

Components (POD only, no collections)

// From andrewgazelka/rgb pattern
#[derive(Component, Clone)]
struct PhenomenalState {
    microstate: u8,           // A, B, C, D, E, F, G
    alpha_power: f32,         // 8-12 Hz
    theta_power: f32,         // 4-8 Hz
    gamma_power: f32,         // 30-100 Hz
    valence: f32,             // -1.0 to +1.0
    arousal: f32,             // 0.0 to 1.0
    gf3_trit: i8,             // -1, 0, +1
}

#[derive(Component, Clone)]
struct OracleReading {
    modality: u8,
    timestamp_ns: u64,
    values: [f32; 8],         // Fixed array, no Vec
    confidence: f32,
}

#[derive(Component, Clone)]
struct ChallengeEntity {
    challenge_id: u64,
    goblin_slot: u8,          // 1-26
    stake_apt: u64,
    precision_beta: f32,
    prior_mean: [f32; 4],
    deadline_ns: u64,
}

// Relations replace collections
struct ParticipantOf;  // Participant --ParticipantOf--> Challenge
struct AttestedBy;     // Challenge --AttestedBy--> Oracle
struct InRegion;       // Entity --InRegion--> BrainRegion (RGB colored)

Systems Pipeline

// Phase 1: Ingress (sequential)
fn system_oracle_ingress(world: &World) {
    // Poll oracle data streams
    // Create OracleReading entities
}

// Phase 2: RED regions (parallel)
fn system_process_red_regions(world: &World) {
    // Prefrontal, motor, ACC, Broca
    // Update PhenomenalState for entities in RED regions
}

// Phase 3: GREEN regions (parallel)  
fn system_process_green_regions(world: &World) {
    // Temporal, auditory, hippocampus, amygdala
}

// Phase 4: BLUE regions (parallel)
fn system_process_blue_regions(world: &World) {
    // Parietal, somatosensory, visual, Wernicke
}

// Phase 5: Settlement (sequential)
fn system_settle_challenges(world: &World) {
    // Compute free energy for mature challenges
    // Emit settlement transactions
}

Value Capture Mechanism

Market Structure

Phenomenal Prediction Markets:
┌─────────────────────────────────────────────────────────┐
│  Challenge Creator (Challenger)                          │
│  - Stakes APT + precision β                              │
│  - Specifies prior belief μ about own phenomenal state   │
│  - Selects goblin slot (challenge type)                  │
└─────────────────────────────────────────────────────────┘
                          │
                          ▼
┌─────────────────────────────────────────────────────────┐
│  Oracle Network                                          │
│  - Consumer BCI devices (Muse, OpenBCI)                  │
│  - Attests to observed phenomenal measurements           │
│  - Earns attestation fees                                │
└─────────────────────────────────────────────────────────┘
                          │
                          ▼
┌─────────────────────────────────────────────────────────┐
│  Settlement Engine                                       │
│  - Computes free energy F = prediction error             │
│  - Distributes stake based on accuracy                   │
│  - Platform takes 2.5% fee                               │
└─────────────────────────────────────────────────────────┘

Revenue Streams

  1. Platform fee: 2.5% of all settled stakes
  2. Oracle fees: Per-attestation micropayments
  3. Data marketplace: Anonymized phenomenal data for research
  4. Premium challenges: High-precision research-grade oracles
  5. Enterprise: Corporate wellness/productivity tracking

TAM Analysis

Consumer BCI market: $1.8B (2024) → $5.5B (2030)
Meditation app market: $2.5B (2024) → $6.2B (2030)  
Neurofeedback market: $1.1B (2024) → $2.8B (2030)
Prediction markets: $12B (2024) → $50B+ (2030)

Combined addressable: ~$20B by 2030
Capture 0.5%: $100M ARR potential

Implementation Roadmap

Phase 1: MVP (3 months)

  • Single oracle modality (EEG microstates via Muse)
  • 4 challenge types (slots 1-4)
  • Basic Aptos settlement
  • Web dashboard

Phase 2: Multi-Oracle (6 months)

  • Add pupillometry, HRV, GSR
  • 13 challenge types (slots 1-13)
  • Oracle reputation system
  • Mobile app

Phase 3: Research Grade (12 months)

  • fNIRS partnerships
  • Full 26 goblin slots
  • Enterprise API
  • Data marketplace

Phase 4: Scale (18+ months)

  • MEG/fMRI integration (delayed settlement)
  • Cross-chain (Solana, Sui)
  • DAO governance
  • International expansion

Key Differentiators from Failed vibesnipe

Aspect Failed vibesnipe Phenomenal vibesnipe
Domain GitHub issues (illiquid) Phenomenal states (universal)
Oracle Human judgment Objective BCI signals
Market Developer niche Everyone with a brain
Verifiability Subjective Cryptographic attestation
Settlement Manual Algorithmic (free energy)
Scalability Per-issue Data-parallel (RGB)

Salvaged Components from Original

Component Original Use Phenomenal Use
GF(3) trit system Challenge balance Phenomenal quality mapping
26 goblin slots GitHub issue types Phenomenal challenge types
Aptos Move contracts APT settlement Same, enhanced
ACP agent protocol Bot coordination Oracle coordination
ACSet infrastructure Issue graphs Phenomenal state graphs
OCapN CapTP Agent communication Oracle attestation

Conclusion

The phenomenological vibesnipe reframes the domain from illiquid developer challenges to universal whole-brain phenomenology. By using:

  1. RGB-ECS parallelism from andrewgazelka/rgb
  2. GF(3) conservation for balanced prediction markets
  3. Active inference (precision-weighted free energy) for settlement
  4. Non-invasive BCI oracles for verifiable measurements

We capture the original vibesnipe infrastructure while targeting a market with:

  • Universal appeal (everyone experiences phenomenal states)
  • Objective verifiability (BCI attestations)
  • Growing TAM ($20B+ by 2030)
  • Clear value capture (2.5% platform fee)

The key insight: consciousness is the most liquid market - everyone participates, continuously.

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