OPEN COMMUNICATION

AI today is centralized: prompts are logged, models are filtered, access can be revoked. Private messaging is fragmented. Open Communication unifies both on one network. A thin orchestrator routes work to contributed GPUs and blind-relays encrypted messages; users pay in credits; the people who provide compute earn the majority of what they serve. No single party owns the network, sees your prompts, or reads your messages.

A Next.js app and OpenAI-compatible API sit in front of a stateful WebSocket orchestrator. It queues jobs, routes each to the fastest idle worker, reserves credits before dispatch, streams results back, and settles on completion. For messaging it is a blind relay — it stores and forwards ciphertext only. Contributors run a native or browser WebGPU worker advertising the models and capabilities they serve.

Browser / API ──wss──▶ Orchestrator ◀──wss── GPU workers
                         │ routing · credits · blind relay
                         └ ledger · key directory · msg store

Credits are the unit of account: 1 credit = $0.01. Chat is priced per 1K tokens by model; images are flat-priced. Credits are reserved before a job and settled to the real cost (refunded on failure) via an atomic reserve→settle→refund ledger. Workers earn 70% of what they serve; a 10% fee on each job flows to stakers. Credits are bought with SOL through a non-custodial, on-chain verified deposit at the live SOL/USD rate.

$0C is the network's native token. It buys credits, is staked to earn protocol fees and boost worker priority, settles worker earnings, and governs protocol parameters. A share of protocol fees buys back and burns $0C — against a fixed 1B supply, real usage creates continuous deflationary pressure.

Staking uses accumulated-reward-per-share accounting. Each settled job's fee raises a global reward index in proportion to total stake; a staker's claimable reward is their stake times the index change since they last interacted — exact, O(1), and independent of when they staked. Stake, unstake, and claim are atomic.

Direct messages are encrypted on-device with X25519 + XChaCha20-Poly1305; private keys never leave the device and the relay handles only ciphertext, including store-and-forward for offline recipients. Prompts and generated media are never persisted — only billing is.

Every credit spent on a job splits deterministically at settlement — the worker that did the work takes the majority, stakers share a slice, and the remainder is protocol margin used to buy back and burn $0C.

✓ yes · ~ partial/varies · ✗ no

$0C has a fixed 1B supply and no inflation. Worker-reward emissions (25%) are released from a reserve on a decaying schedule that front-loads early contributors and tapers over time. Team & contributor allocations (15%) vest linearly over four years with a one-year cliff. Community, treasury, and liquidity unlock against milestones. Because supply is capped, sustained fee-driven buyback-and-burn works against a fixed ceiling.

As the network decentralizes, $0C holders govern the parameters that matter — fee rates, the worker earn share, model policy, treasury spend, and reward emissions — through on-chain proposals and voting. The goal is credible neutrality: no single operator can censor a model, revoke a user, or unilaterally change the economics.

Point any OpenAI client at the orchestrator; your token is the API key.

curl $ORCH/v1/chat/completions \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model":"llama3.2",
       "messages":[{"role":"user","content":"hello"}],
       "stream":true}'

Every worker follows the same loop, so the orchestrator treats browser tabs and datacenter GPUs identically:

Some models exceed any single contributor's memory. 0_C's roadmap serves them with pipeline-parallel inference: a transformer is split into contiguous layer blocks spread across a cohort of machines, with speculative decoding to hide wide-area latency. To the caller it is one job; under the hood a coordinated group of workers serves it together and shares the reward.

TGE = token generation event · proposed, subject to change

Orchestrator

The stateful service that routes jobs, tracks credits, and blind-relays messages.

Worker

A contributed GPU (native or browser) that serves inference and earns.

Credit

The stable unit of account; 1 credit = $0.01.

$0C

The network's fixed-supply (1B) token — ownership, staking, and settlement layer.

Reserve → settle

Credits are held before a job and finalized to the real cost after.

Blind relay

The server forwards encrypted messages without ever seeing plaintext.

Reward-per-share

O(1) accounting that splits staking rewards fairly regardless of timing.

Buyback & burn

Protocol fees repurchase and destroy $0C, reducing supply.

Pipeline-parallel

Splitting one large model across several machines to serve it cooperatively.

Streaming chat, image generation, encrypted messaging, the credit ledger, staking, and on-chain SOL deposits are live. The $0C token in the token section is a design specification — not yet minted or tradeable. Nothing here is an offer to sell a security or investment advice; token parameters are proposals subject to change before any launch.

Full document: WHITEPAPER.md in the repository.