Educational enterprise · Free & open source
ANTICARBON is an educational enterprise. We build free, open-source tools and open data so the benefits of artificial intelligence reach as many people as possible — through education.
Mission
Artificial intelligence is reshaping how we understand the world — but its benefits are far from evenly distributed. We exist to close that gap. By making powerful tools and trustworthy data free, open, and easy to learn from, we help the widest possible community put AI to work for themselves.
Every tool we make is open source and openly licensed. No lock-in, no black boxes — inspect it, fork it, improve it, make it yours.
We build to teach. Clear tools and honest data help people learn how AI works and how to use it well — not just consume its outputs.
Access should never be gated by ability to pay. Our public tools are free to use, free to study, and free to build upon.
Products
Small, sharp, open tools — each one designed to make something that was once expensive or opaque into something anyone can learn from.
ManticView brings live Manifold prediction-market data straight into Google Sheets. Custom =MANIFOLD functions pull probabilities, market searches, answer tables, portfolios and price history — no account or API key required — plus an Android home-screen widget for at-a-glance markets. Wholly free and open source.
A fork of the last MIT-licensed release of Our World in Data's Grapher, curated down to the visualizations that matter most for understanding artificial intelligence and education. Open data, open code, forever free — a small window onto the numbers behind our mission.
Sirius
A first, curated selection from Sirius: the long rise of human education, and the sudden acceleration of artificial intelligence. Together they frame the question we exist to answer — how do the benefits of AI reach everyone? Hover any point for detail.
Share of the world's population able to read and write, 1820–2020
Mean years of schooling, world average, 1870–2020
Estimated training compute of landmark AI systems (FLOP, log scale)
Industry's share of notable AI systems, 2010–2022
0f4f86b, before it moved to a proprietary licence on 12 May 2026). Charts above show selected landmark years and are simplified for clarity — always cite the original sources for research.
Open source
Openness is not a feature we add at the end — it is the point. When tools and data are free to inspect, copy, and improve, knowledge compounds and reaches people no paywall ever would. That is how the benefits of AI become broadly shared.
"If it can't be studied, forked, and taught, it can't truly belong to everyone."