Capture

AI / ML Models
Canada

About the project

Capture is a decentralized Reinforcement Learning Human Feedback (RLHF) platform. Contributors get paid for evaluating AI decisions - Step 1 stake a USDC bond to prove human, Step 2 judge a vision model's outputs (Choose A or B), and Step 3 get paid in USDC when their answer forms a consensus with other contributors. Make too many bad judgments and it may cost losing the bond. The aggregated preferences form an RLHF dataset with on-chain provenance, all settled on Solana.

Product

Project pitch

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Technical demo

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GitHub · Source code chunli0x/ capture

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Team

Chunli0x
Lead

Former Bittensor subnet owner (was backed by Yuma-DCG), got into robotics data and founded www.arithmancy.ai. I then started putting LLM on hardware. Built a harness and integrating JEV. Made an offline AI run on Pi.

Updates

Progress from the team.

Chunli0x

Oct 24, 2026

Capture is developed for Solana Seeker Mobile paid in test USDC and separately deployed is a $SKR implementation. The two were split into separate repos and differ only in the token — the code is otherwise identical. Each has its own backend and is maintained independently. - …