Pinned evaluation regime. Public participation. Deterministic scoring.

C.C.O -Cheaper FasterGPU compute

Live data, guide, docs, and links for CCO.

Network context

Powered by SN74 - GitTensor.

What CCO targets

GPU compute, LLM scale, measured gains

Show it visually.

Close-up photo of an integrated circuit on a microchip

GPU

Pinned hardware

Pinned hardware keeps runs honest.

Diagram of a multi-headed attention mechanism

LLM

Attention path

Attention drives the roadmap.

Butterfly diagram of a fast Fourier transform

FFT

Spectral route

Transforms push past dense matmul.

Visual sources: chip photo by Jon Sullivan / PD Photo.org (public domain); attention diagram by dvgodoy (CC BY 4.0); FFT butterfly diagram by Yangwenbo99 (CC BY-SA 4.0).

Participants

For miners, contributors, and researchers

Public participation across the CCO workflow.

How CCO works

Submit a strategy. Measure it honestly.

Matmul now. Attention later.

01

Read the rule

All cost axes must drop while accuracy holds.

02

Build or fix

Add, tune, or fix.

03

Run the scorer

Produce one scorecard.

04

Publish and verify

Queue, replay, verify.

Live reference state

Queue, frontier, and recent results

Public queue and sealed results.

Queue updated

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Results updated

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Queued PRs

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Tracks live

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Pinned GPU

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Published evals

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Queue feed

Live

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Results feed

Live

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Queue preview

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No queued PRs right now.

Frontier

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Recent published results

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No published evaluation results yet.

Related pages

Docs, landing pages, and repository surfaces

Core docs, public pages, and repository surfaces.