Open Source License Attribution and Royalty Engine

C5/10March 5, 2026
WhatA platform that tracks which open-source code was used in AI training data and automatically distributes micro-royalties to original authors when AI-generated code is used commercially.
SignalMultiple commenters express deep frustration that open-source authors get nothing when their code trains models that generate commercial value — there is a strong sentiment that some fair compensation mechanism must exist, even if it pays pennies.
Why NowAI code generation is now mainstream via Copilot and similar tools, the legal question of training data rights is being actively litigated, and blockchain-based micropayment infrastructure has matured enough to make per-token attribution feasible.
MarketAI companies (OpenAI, Google, Anthropic) facing regulatory pressure to compensate training data creators; open-source developers numbering 100M+; TAM depends on regulation but could be $1B+ if mandated. No real competitor yet — existing efforts are nascent.
MoatBuilding the canonical mapping of training data to original authors creates a unique dataset that becomes the industry standard if regulation requires attribution — strong network effects as more authors register.
Relicensing with AI-Assisted Rewrite View discussion ↗ · Article ↗ · 400 pts · March 5, 2026

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