Introducing The Inference Protocol

Inference Team

May 23, 2025

Open Intelligence Needs an Economic Engine

Every week new open-source models drop, but the developers, data-labelers, and GPU providers who make them possible often work for little more than GitHub stars. Meanwhile, closed platforms monetize that unpaid innovation behind paywalls. The result is a growing divide: the best intelligence is locked away, while the open community that sparked the revolution struggles to keep pace.

Our Mission

Inference Protocol exists to flip that script.

We want the open-source ecosystem to be the place where the smartest models live, the fastest compute runs, and the most creative people get paid—without gatekeepers.

Empower anyone, anywhere to build, run, and improve AI


How the Protocol Works (At a High Level)

Inference is a permissionless network that coordinates four kinds of agents:

Agent

What they contribute

How they earn Inference tokens

Researchers & Builders

Open models, training code, data curation

Win breakthrough contests approved by the DAO

Contest Designers

Draft contest goals, rules & evaluation metrics

Share of each live contest’s emission stream

Compute Providers

GPU/TPU cycles for training & inference

Participate in an always-on “compute contest” that rewards verified FLOPs

Validators

Verify contest results & provider uptime

Portion of every emission round plus delegated stake

Modularity as a First Principle

Inference is not a one-size-fits-all leaderboard—it’s a general AI platform. Each contest is encapsulated in a module that specifies:

  • What to optimize (the objective)

  • How to measure progress (the evaluation routine)

  • Who verifies results (the validator set)

Because modules are independent and swappable, they create an open marketplace of objectives. Game theory does the rest:

  • Designers compete to define the most valuable problems and the fairest scoring rules.

  • Builders race to beat those rules with better models and data.

  • Validators stake reputation on accurate checks.

The DAO continuously reallocates emission toward the modules that drive the greatest collective benefit, letting the community—not a centralized team—decide what “progress” means week by week.

Lifecycle of a Contest

  1. Drafting – Anyone authors a proposal defining objective, metrics, data policy, validator workflow, and reward curve.

  2. DAO Approval – Token-holders vote; approval starts a continuous emission stream to that contest.

  3. Competition & Verification – Builders submit solutions; validators reproduce results and attest on-chain.

  4. Reward Distribution – Builders, the contest designer, and validators automatically receive their shares.

Compute: the Perpetual Contest

Hardware is the oxygen of AI. Inference treats access to compute as a standing module of its own: providers prove real work, earn emissions, and supply capacity to the network. Users pay tokens for inference or training, and those fees are burned, offsetting fresh emissions and creating a built-in supply sink. Details of the proof system will evolve with community input, but the principle is simple: compute is rewarded because it can be measured—just like any other breakthrough.

The Road Ahead

  1. Inference Cloud MVP (next month) – Deploy pre‑built Docker images or bring your own, while our scheduler hunts for the lowest price—no platform fees, ever.

  2. Open Protocol Development (starting next month) – The first commit lands and all work happens in public. Expect architecture drafts, reference modules, and lively pull-request debates. Follow along, fork the code, file issues, or propose the inaugural contests.

  3. From MVP to Mainnet – As soon as a baseline of compute and validation is live, emissions begin and the first modules compete for them. Every improvement—from more robust proofs to smarter reward curves—will come from the same community that benefits.

Our goal is simple: build an economy where ideas, data, and compute flow to the people who move AI forward the fastest—and make that economy entirely open.

Stay Connected

The future of AI won’t be built behind walls—it’ll be built together.

Author

Inference Team

Published

May 23, 2025

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