About Axiom Distributed AI
What is Axiom?
Axiom is a distributed AI training platform that uses Hebbian learning — 'neurons that fire together, wire together' — to train a massive neural network across thousands of volunteer computers worldwide.
The Model
How It Works
Unlike traditional backpropagation, Hebbian learning is local and biologically inspired. Each sample strengthens connections between neurons that activate together — no complex gradient chains required.
The 85/15 Split: 85% of learning happens locally on your machine, while 15% comes from gossip synchronization with peers training other experts.
Getting Started
- Download the Streaming Client — Get the Axiom Streaming Client (requires Python 3.8+)
- Create an Account — Sign up to track your contributions and earn credits
- Run the Client — Extract and run
axiom_streaming_ui.py - Start Training — Click Start and watch your computer contribute to distributed AI!
Why Distributed Learning?
Modern AI training is concentrated in massive data centers controlled by a few corporations. Axiom explores an alternative: spreading the work across thousands of everyday computers, making AI research more accessible and democratized.
Your CPU performs real computations that contribute to training an open-source AI model. You earn credits for each weight synchronization, reflecting your contribution to the collective intelligence.
What Does My Computer Do?
The streaming client reads training data from your ~/Axiom/contribute folder (text files, documents, etc.)
and performs Hebbian weight updates locally. Every 1000 samples, it syncs with the coordinator server to
share learned patterns with other experts in the network.
The system monitors CPU and memory usage, automatically managing resources based on your preferences. An 'endocrine system' modulates resource usage — just like cortisol regulates your body's energy.
Contact
Questions or feedback? Post on the message boards or visit our GitHub.
