cyber tokenomics

the economic design of cyber — multiple tokens, multiple mechanisms, one self-sustaining knowledge economy

grounded in cybernomics foundations: basic token operations, supply and demand equilibrium, bonding curves

tokens

h based economy — dual-token CYB/H: scarce value anchor + liquidity engine

learning tokens — will (bandwidth), attention (rank influence), karma (reputation) as feedback to superintelligence

$CYB — the native token. staked for security, burned for permanent π-weight, spent as fees

mechanisms

seven mechanisms make the cybergraph a self-sustaining economy. each maps to a protocol primitive through basic token operations (pay, lock, uber, mint, burn)

1. minting for focus computation

neurons that compute focus toward a particle earn newly minted $CYB. each valid cyberlink is rewarded proportional to Δπ — the shift it causes in the tri-kernel fixed point

see learning incentives for reward functions, link valuation, and Shapley attribution

2. staking as delegated attention

neurons stake $CYB on themselves or other neurons, delegating attention. stake directed toward validators earns from the PoS share of gross rewards:

$$R_{\text{PoS}} = G \cdot S^\alpha$$

see adaptive hybrid economics for the allocation curve and PID tuning

3. stake distribution over cyberlinks

a neuron's staked amount spreads evenly across its cyberlinks by default. the neuron can re-weight individual particles or cyberlinks, assigning a percentage of stake to specific targets

see staking on particles and staking on cyberlinks for pool mechanics

4. permanent weighting via burn

a neuron burns $CYB to grant eternal weight to a particle. this irreversible act permanently increases that particle's importance in π, anchoring critical knowledge

see eternal particles and eternal cyberlinks

5. link fees and net rewards

submitting a cyberlink incurs a small fee (spam deterrent). fees pool and distribute to link submitters, focus provers, and validators. links that accumulate sufficient attention yield net positive reward over time

see collect fee on moving A and V for the fee collection spec

6. attention yield curve

earlier and more accurate cyberlinks to high-π particles earn proportionally greater rewards as collective focus evolves. first-mover advantage for quality links

7. reputation emergence

a neuron's long-term reputation is the accumulated π-weight of particles it contributed to. this is karma — aligning social and economic capital through measurable contribution to collective focus

monetary policy

gross rewards combine stepped emission with redistributed fees:

$$G = E(t) + F \cdot (1 - \beta)$$

rewards split between stakers and provers via the allocation curve. $\alpha$ and $\beta$ self-adjust via PID control

net new supply: $\text{net} = E(t) - F \cdot \beta$. when fees exceed emission, the network is net deflationary

adaptive hybrid economics — the self-calibrating PoW/PoS mechanism with PID control

adaptive hybrid consensus economics — full mathematical proofs

adaptive inflation — tendermint inflation tuning for bonded stake target

hardware substrate

the Goldilocks field processor makes proving Δπ economically viable. the PoUW puzzle requires producing STARK proofs using the same four primitives as real workloads. mining rewards bootstrap chip development. chips accelerate proving. proving serves users. users generate fees. fees replace emission

the same hardware mines and proves — no stranded assets

in the protocol stack

foculus — consensus: particle $i$ is final when $\pi_i > \tau$

focus flow computation — scheduling and convergence as layer 5 of the stack

cybernet — experimental learning incentives layer (Bittensor-style subnets)

decentralized attention markets — focus-stake attention market

cyber/tokenomics.md