@ver89.eth
🧠 Full Neynar Score Lifecycle (system view)
1️⃣ Initialization
New account = low prior confidence.
Distribution is exploratory.
Model gathers baseline behavior features.
2️⃣ Signal Discovery
Early high-quality interactions
increase confidence weight.
Engagement diversity matters here.
3️⃣ Trust Accumulation
Consistent depth → stable embedding.
Distribution expands.
Reputation compounds via graph proximity.
4️⃣ Saturation / Plateau
Marginal gains slow.
Model expectations rise.
Variance now penalizes harder.
5️⃣ Decay Phase (if signal drops)
Reduced depth
increased noise
= confidence erosion.
Distribution throttles gradually.
6️⃣ Recovery / Recalibration
Sustained high-signal clusters
retrain confidence.
Gradual slope up, not instant reset.
System summary:
Score ≈ rolling confidence in future contribution.
Protect baseline.
Compound trust.
Avoid volatility.
#farcaster #neynar #ai #reputation #socialgraph
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