specs/adaptive hybrid economics.md

adaptive hybrid economics

how cyber splits security spend between compute work and active stake without hard-coding arbitrary percentages. parameters self-calibrate from on-chain observables via control-theoretic feedback (P / PD / PID). applies to CYB hybrid mint under tok / plumb

normative home: this page under specs. equations for rewards: rewards. token utility surface: $CYB. historical long essay + minimal implementation notes lived under cybics game

problem

fixed issuance schedules and fixed PoW/PoS splits are bets about the future: security cost, fee volume, capital opportunity cost. the protocol cannot know those a priori. hard-coding them (21M, fixed 50/50, fixed tail emission) freezes ignorance into consensus

objective triad (in tension):

objective meaning
security attack cost > attack profit
efficiency do not overpay for security
dilution mint only as much as security requires

mechanism: sense and adapt — thermostat, not calendar

objects

symbol meaning
(M) circulating supply
(S \in [0,1]) active staked fraction (epistemic lock with (v \neq 0); not idle bag)
(E(t)) baseline emission rate from schedule (for cyber: power-law head of CYB M(t), not a free knob)
(F) fees collected in window
(\beta \in [0,1)) fee burn fraction
(\alpha \in [0.3, 0.7]) allocation curve exponent
(B) gross reward budget this window

allocation curve

Given staking ratio (S):

[ R_{\mathrm{PoS}} = B \cdot S^{\alpha},\qquad R_{\mathrm{PoW}} = B \cdot (1 - S^{\alpha}) ]

(neutral prior (\alpha = 0.5): equal marginal treatment of stake and work. (\alpha < 0.5) favors stake at low participation; (\alpha > 0.5) pulls toward compute)

why power: maps ([0,1]\to[0,1]), one parameter, smooth, no kink that governance can fight over

mapping to cyber mint channels

share pays cyber realization
(R_{\mathrm{PoW}}) compute mining: prove Δφ* division + fold
(R_{\mathrm{PoS}}) active risk staking with valence ≠ 0; passive lock earns rank only

see cyber/$CYB utility §mint

gross vs net

[ B = \mathrm{floor}\cdot M + (1-\gamma)(1-\beta)F ]

[ I_{\mathrm{net}} = \mathrm{floor} - \frac{F\beta}{M} ]

when diffusion burn exceeds floor, net inflation is negative: velocity shrinks supply while floor still pays security. gross rewards to workers can still exceed net mint when service fees recycle into (B)

fee path for CYB (cyber/$CYB §revenue):

  • tax on diffusion (\tau = 1%) on every transfer — pay, lock, unlock, including staking
  • simple split: (\mathrm{burn} = \tfrac12\tau G); (B_V = \tfrac12\tau G) paid to everyone who earns under the same hybrid as emission ((R_{\mathrm{PoW}}), (R_{\mathrm{PoS}})) — not a pro-rata airdrop to idle holders
  • (B_{\mathrm{tot}} = B + B_V); velocity is the long-run self-development faucet when (M(t)) thins
  • service fees (queries, DA, inference peer leg) may still feed (F) into (B); orthogonal to the diffusion tax
  • (\beta) in the budget equations applies to any service-fee burn/pool split; diffusion tax already fixes half burn

security floor

floor is the one emission component not gated by Δφ* — paid only to work providers (PoW compute + active stake), never to idle capital. derived bound (attack economics sketch):

[ \mathrm{floor} \ge c_{\mathrm{sec}} \cdot \frac{\mathrm{TVL}}{M} \cdot r_{\mathrm{atk}} ]

with (c_{\mathrm{sec}}) safety margin and (r_{\mathrm{atk}}) attacker cost of capital per epoch. floor PID-decays toward zero as fees cover security (healthy coverage + healthy security margin)

staking equilibrium (sketch)

per-token active stake yield scales as (B \cdot S^{\alpha-1}/M). capital enters until yield meets opportunity cost (r):

[ S^* = \min!\left(1,\ \Big(\frac{B}{r M}\Big)^{\frac{1}{1-\alpha}}\right) ]

protocol does not target (S^*); it emerges. α moves the equilibrium sensitivity

feedback (PID)

errors from observables only — no price oracle required for the core loop:

error definition drives
efficiency (\eta_{\mathrm{PoW}} - \eta_{\mathrm{PoS}}) (security per reward unit) (\alpha)
fee coverage (F/E(t) - 1) (or (F/\mathrm{floor}-1)) (\beta), floor

updates (conceptual; gains as ops parameters):

[ \alpha \leftarrow \mathrm{clamp}\big(\alpha + K_{p\alpha} e_{\eta} + K_{d\alpha}\dot e_{\eta},\ 0.3,\ 0.7\big) ]

[ \beta \leftarrow \mathrm{clamp}\big(\beta + K_{p\beta} e_{F} + K_{d\beta}\dot e_{F},\ 0,\ 0.9\big) ]

derivatives via EMA. start P-only; add D if oscillation; full PID if volatility demands it

not PID-controlled: the long-horizon supply shape M(t) for CYB (power law, field cap) — that is genesis physics. hybrid control only allocates B and recycles fees inside that envelope

what this is not

  • not a third consensus finality rule — foculus decides what is final; this decides how the security budget is paid
  • not passive staking yield — idle lock does not mint (anti-compounding; see rewards)
  • not a second emission schedule for robots — robot cards only redirect creator shares of mints/pays (cyber/$CYB)

cyber placement

layer owns
tru / rewards Δφ*, Shapley, karma, mint eligibility
foculus finality, settlement lottery timing
this design α, β, floor dynamics; PoW/PoS split of B
tok / plumb conservation of mint/burn/pay/lock

sources

consolidated from:

  • long form motivation + PID thesis (formerly cybics game adaptive hybrid consensus economics)
  • minimal implementation notes (sliding window difficulty, on-proof handler) — formerly cybics game adaptive hybrid economics

implementation detail and simulation notebooks stay optional attachments; normative reward equations remain in rewards

discover all concepts

Homonyms

research/adaptive hybrid economics
adaptive hybrid economics moved to the specs home: adaptive hybrid economics|specs/adaptive hybrid economics this stub keeps old research/adaptive hybrid economics links from 404ing. edit the design only under `specs/`
cybics/game/adaptive hybrid economics
canonical design article moved to cyber research: **adaptive hybrid economics** — `cyber/specs/adaptive hybrid economics.md` minimal implementation notes (sliding window, on-proof handler) are absorbed there. do not edit this stub for protocol design

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