Executive Summary

• Supporting open source AI can prevent monopoly by commercial companies.
• Decentralized model training systems could harness global computing power.
• Open source AI may not be as powerful as commercial models, but it offers an alternative.

The Internet’s Verdict: 70% Hyped, 30% Skeptical

The Case for Open Source AI

Experts warn that relying on commercial AI models could lead to dependence on a few large corporations.

Where does Anthropic or OpenAI winning leave us? Dependents of an AI-megacorp for our ‘facts’? Our software? Our work? It’s possible these companies will become everyone’s boss, and will dictate to everyone what everyone is allowed to work on, think, say, do, believe, etc.

Challenges and Limitations

Some argue that open source AI models may not be able to compete with commercial models in terms of power and capabilities.

With open-weight AI, there might not be an incentive to put large sums of capital towards training / research. There might be a donation fund of some sorts, but it certainly won’t reach the level of fundraising that the frontier labs are receiving.

However, others propose innovative solutions, such as decentralized model training systems that could harness the power of volunteer machines.

I’ve been contemplating a decentralized model training system for some time using volunteer machines that we all contribute. But, it is astronomically difficult. The communication speeds are untenable. And, there is the issue of data poisoning from untrusted nodes.

Focus Keyword: Open Source AI