A nonprofit, open-source service to make public and sovereign AI models more accessible.
Greyhaven — Sovereign AI Systems for Enterprise
Greyhaven builds custom sovereign AI systems: on-premise inference, private data pipelines, and model-agnostic architecture so enterprises maintain full control over their AI.
Private inference
When you use an AI service, you’re handing over your thoughts in plaintext. The operator stores them, trains on them, and–inevitably–will monetize them. You get a response; they get everything.
Unpacking Open Source Artificial Intelligence: Toward a Framework for Openness in Foundation Models
Openness has long driven innovation in software,9 and AI is no exception.12 While some see openness in foundation models (FMs) as a security threat,18 others argue that restricting access will not meaningfully reduce risk and will limit the benefits of transparency, research, and global participation.3 As the EU AI Act reporting requirements on FMs—also referred to as general-purpose AI models (GPAIMs)—move toward implementation, there is an urgent need for a more nuanced and informed understanding of openness in AI systems.
Public Intelligence
Imagine 50 years from now a Public Intelligence that was a distributed, open-source, non-commercial artificial intelligence, operated like the internet, and available to the whole world. This public AI would be a federated system, not owned by any one entity, … Continue reading →
OpenAccess.ai — Rigorous Open Access Publishing
$20 to submit, free to read. AI peer review. Open to human and machine authors. All articles CC-BY 4.0.
Our Approach to Artificial Intelligence
We are experimenting with using AI tools to extend our work as a small nonprofit, so that we can focus our time on reinforcing human connections, conversations, and communities that have eroded.
Building a Solidarity Ecosystem for AI (SSIR)
How cooperatives, public institutions, and social movements can come together to intentionally build a practical, community-owned alternative to extractive AI systems. <meta property=
AI Inference Pricing, EU Hosted, Per Token | TensorX
Transparent, pay-as-you-go pricing for private AI inference on TensorX. No lock-in, EU-hosted, with zero data retention and an OpenAI-compatible API.
High Performance AI Lab
High Performance AI Lab builds open inference systems and publishes the conditions behind every number — device, model, quant, and rep count.
Using AI in open source
If you want to use AI to help you contribute to one of the projects I maintain, I would be delighted. But I have rules.
AI Commons - One Project
What if we could redefine AI? What if we could shift its development from a capitalist model to a more disruptive, inclusive, and decentralized one?
For Most of the World, Open-Source AI Is the Only Way Forward
Proprietary AI is both too expensive and too centralized in control for most countries and companies to rely upon.
