Overview

Methexis is a decentralized network for training and governing open‑source AI models. Participants contribute compute and datasets, a stake‑secured validation mesh checks quality, and on‑chain contracts coordinate model updates, rewards, and governance using the $MTHX token.

TL;DR Contribute compute/data → validators verify → model improves → rewards are distributed on‑chain in $MTHX. Ethereum provides coordination and auditability; storage and heavy computation run off‑chain (e.g., IPFS/Arweave + GPU nodes).

Why Methexis?

Most existing large language models rely heavily on data scraped from the open web, including forums, social media, and comment sections, often without the explicit consent of users. For example, Reddit itself claims that free access to its content “has already been a foundational part” of how many leading LLMs were trained.

That means many users unknowingly contribute to AI model training. Methexis flips that paradigm: here, contributors are knowingly rewarded (or slashed, if malicious) for providing data and compute. Our model ensures transparency, consent, and traceability.

Openness: AI training should be verifiable and community‑owned, not gated by a few labs.
Incentives that work: $MTHX aligns behavior, honest contributors earn; malicious actors are slashed.
Traceability: Every accepted dataset and model checkpoint is referenced on‑chain for a transparent audit trail.
Scalability: Heavy ML workloads stay off‑chain; the chain coordinates state, rewards, and governance.

Roles at a Glance

Contributors — Provide datasets or GPU compute for training.
Training Validators (compute providers) — Run training jobs and co‑sign model updates.
Data Validators (validation workers) — Stake, sample, and score incoming datasets; challenge bad inputs.
Stakers — Bond $MTHX to secure validator roles and share in rewards.
Governance (DAO) — Propose and vote on parameters, upgrades, and treasury spend.

$MTHX in One Minute

Utility: Staking (security), rewards (contributors/validators), and governance (voting).
Economics: Managed emissions with a long‑term curve; vesting and slashing to discourage abuse.
Treasury: Funds audits, grants, and shared infra by community vote.

Note Final distribution, vesting, and emissions are detailed in Token → Distribution & Emissions. Treat early numbers as proposed until ratified by governance.

High‑Level Architecture

Flow:

Contributors submit data / compute.
Stake‑weighted validation committees screen data (license, anomaly, duplication).
Training validators run jobs; if results meet consensus/metrics, an update is proposed.
Contracts record the new checkpoint, distribute rewards, and apply slashing when needed.
DAO governs parameters (rewards split, stake thresholds, filters) and treasury usage.

Design Principles

Security first: Slashing, committee randomness, audits, and transparent execution.
Verifiable progress: On‑chain references for accepted datasets and model versions.
Pragmatic scaling: Off‑chain compute + on‑chain coordination to keep costs low.

Disclaimer Methexis is experimental infrastructure. Nothing in this documentation constitutes financial or legal advice.

Last updated 13 days ago