Projects
Tools, collectives, and initiatives advancing AI redistribution.
Project Name
One sentence describing what the project does.
AI Now Institute
Independent research institute producing policy analysis on AI's social implications — with a focus on power, accountability, and labor. If the frontier labs are building the future of AI, AI Now is asking who that future is actually for.
Algorithmic Justice League
An organization combining art, research, and advocacy to fight algorithmic harm — and proof that affected communities can produce the research that changes industry.
BLOOM
A 176-billion parameter open multilingual language model, built collaboratively by over 1,000 researchers. The first proof at scale that large language models don't require corporate labs — just public compute and collective will.
Collective Intelligence Project
Research initiative developing methods for democratic input on AI development — working to give affected communities a formal voice in how AI systems are designed and deployed.
Common Crawl
A nonprofit that maintains an open repository of web crawl data — petabytes of the internet, available to anyone. The invisible foundation beneath nearly every large language model in existence.
DAIR Institute
Independent AI research institute centering communities most affected by AI systems — founded to do the work Big Tech won't fund.
EleutherAI
A grassroots collective that trained and released GPT-Neo and GPT-J — proving open research could match corporate labs. The original insurgency against closed AI, born from a Discord server.
Hugging Face
The platform that made open AI models accessible. Model hosting, datasets, and tools with generous free tiers — the closest thing to shared infrastructure the open AI ecosystem has.
Lelapa AI
A South African AI company building language technology for African markets — by African researchers, for African users.
Masakhane
A grassroots research collective building NLP for African languages — by Africans, for Africa. Over 2,000 languages on the continent; when Masakhane started, fewer than ten had meaningful AI coverage.
Model Context Protocol (MCP)
An open standard for connecting AI assistants to external tools and data sources — a bet that interoperability, not lock-in, should define AI infrastructure.
Mozilla Common Voice
An open dataset of human voices in 100+ languages, crowdsourced and freely available to train speech recognition systems.
Ollama
Run large language models locally with a single command. No cloud, no API keys, no usage limits. The tool that made "running your own AI" a realistic option for ordinary developers.
Open Interpreter
A natural language interface to your computer. Ask it to edit files, analyze data, browse the web, or automate tasks — it writes and runs the code locally. The bridge between "AI can talk about code" and "AI can do things on your machine."
WebLLM
An open protocol that makes AI universal. Users choose their provider. Developers skip the infrastructure. The web gets AI everywhere. The case that AI access should work like internet access — one connection, universal use.