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.
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
Inspired by andrewgazelka/rgb Minecraft server:
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
# 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| 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 |
- 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)
- fNIRS: Prefrontal hemodynamics
- MEG: Millisecond magnetic fields
- High-density EEG: 128-256 channels
- fMRI: BOLD response (delayed settlement)
- PET: Neurotransmitter binding
- iEEG: Intracranial (epilepsy patients)
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>,
}# 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)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
}
}// 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)// 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
}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 │
└─────────────────────────────────────────────────────────┘
- Platform fee: 2.5% of all settled stakes
- Oracle fees: Per-attestation micropayments
- Data marketplace: Anonymized phenomenal data for research
- Premium challenges: High-precision research-grade oracles
- Enterprise: Corporate wellness/productivity tracking
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
- Single oracle modality (EEG microstates via Muse)
- 4 challenge types (slots 1-4)
- Basic Aptos settlement
- Web dashboard
- Add pupillometry, HRV, GSR
- 13 challenge types (slots 1-13)
- Oracle reputation system
- Mobile app
- fNIRS partnerships
- Full 26 goblin slots
- Enterprise API
- Data marketplace
- MEG/fMRI integration (delayed settlement)
- Cross-chain (Solana, Sui)
- DAO governance
- International expansion
| 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) |
| 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 |
The phenomenological vibesnipe reframes the domain from illiquid developer challenges to universal whole-brain phenomenology. By using:
- RGB-ECS parallelism from andrewgazelka/rgb
- GF(3) conservation for balanced prediction markets
- Active inference (precision-weighted free energy) for settlement
- 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.