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Open Source AI

AI systems whose code and weights are publicly available

What is Open Source AI?

AI models and tools whose source code, model weights, or training methodologies are publicly available for anyone to inspect, modify, and deploy. Open source AI is to proprietary AI what open source software was to proprietary software: an engine of innovation, transparency, and independence. The ecosystem moves faster when everyone can build on shared foundations rather than renting access to black boxes.

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LV’s AI hub

Original context on AI applied to creation, research, and systems.

Creator OS

Useful when AI is part of a content workflow that still needs human judgment.

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In plain words

"Think of it like a community garden — everyone can plant, harvest, and improve the shared plot."

How it works

Key takeaways

  • Open source = code + data + weights

  • Open weights = model only, no training code

  • Proprietary = API access only

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Real-world example

With truly open-source AI like OLMo, you get the training code, data recipes, and model weights. You can audit, reproduce, and modify everything. Open weights like Llama give you the model but not the training pipeline.

Related terms

Open Weights

AI models anyone can use and modify

Inference

Using a trained AI model to generate outputs

Fine-Tuning

Training an AI model on your specific data

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