Bostrom Tokenomics

The Four Tokens

bostrom separates four economic functions that most blockchains compress into a single token:

Token Role Issuance
$BOOT bostrom/security and governance inflation (~1.09% annually)
$H liquid representation of bostrom/staking mint 1:1 on $BOOT bostrom/staking
burn 1:1 on unstaking
$V write access to the knowledge graph burn of $H via bostrom/mint
$A relevance machine focus influence burn of $H via bostrom/mint

Every token derives from the one above it. $H requires staked $BOOT. $V and $A require burned $H. Every unit of network resource has a provable, on-chain opportunity cost denominated in committed stake.

Why Tokens Grow

  • Supply decay is irreversible — every bostrom/mint makes the next one more expensive, embedded in protocol math
  • The graph gets more valuable — more cyberlinks attract more neurons, demand grows while supply gets scarcer
  • Writing is scarcer than reading — $V gets expensive 8x faster than $A
  • Speculation feeds the machine — 2% burn fee on moving A and V permanently destroys supply on every transfer
  • Everything costs stake — $V and $A require burn of $H which requires bostrom/staking $BOOT, spam is economically impossible

The Learning Loop

The knowledge graph learns through economic commitments. Every token operation is part of a cycle that makes the graph more valuable over time.

BOOT --stake--> H --mint(burn H)--> V + A
  ^                                  |   |
  |                          cyberlinks  focus weight
  |                          (burn V)    |
  |                              v       v
  |                        knowledge graph <-- diffusion (GPU)
  |                              |
  |                          cyberank
  |                              |
  +--- 80% exec fees <-- autonomous programs <-- energy routes (V/A)
  1. neuron stakes $BOOT → receives $H → burns $H → receives $V or $A
  2. neuron spends $V to create cyberlinks — each link is a costly signal, an economic commitment that two particles are related
  3. diffusion computes focus distribution across all particles on GPU, weighted by $A balances
  4. cyberank measures particle quality — emerges from the graph structure without external votes

The more neurons link, the better cyberank gets, the more valuable $V and $A become.

Energy Mint

A neuron burns $H through bostrom/mint to create $V or $A. The cost follows a supply decay curve: every bostrom/mint makes the next one more expensive. Details and formulas: bostrom/mint.

Fees

Energy Grid

The grid module routes $V and $A to cosmwasm programs via energy routes. Programs that receive routed $V can create cyberlinks — enabling autonomous knowledge graph expansion. cosmwasm execution fees return 80% to the program creator, creating a reinvestment loop back into bostrom/staking$H$V/$A.

Source References

Local Graph