The AI open-source ecosystem is undergoing an unprecedented transformation. Ant Group's major release of the "Big Model Open-Source Development Overview and Trends 2.0" at the Bund Summit acts as a mirror, clearly reflecting the true state of this rapidly evolving field.

This overview was not simply a collection of data, but the result of a rigorous OpenRank evaluation system. The research team set the threshold at an OpenRank score above 50, assessing the relative influence of projects by analyzing their collaboration relationships. Finally, they identified 114 of the most valuable projects from the vast open-source ocean, covering 22 technical fields.

Behind these numbers lies a thought-provoking change trajectory. The strong entry of 39 new projects demonstrates the vibrant vitality and innovative power of the open-source community, but at the same time, the reality of 60 projects being eliminated reveals the harshness of competition in this field. The speed of technological iteration is so rapid that once-hot projects may be marginalized in a short period of time.

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From the global distribution of developers, the United States contributes 24% of the development strength, followed closely by China with 18%. This relatively balanced distribution reflects that AI technology has become a global innovation hotspot, no longer a domain exclusive to a single country or region. Developers around the world are contributing their wisdom to this technological revolution.

Keyword cloud analysis also gives us a picture of the current direction of technological development. The frequent appearance of terms such as AI, LLM large language models, and Agent accurately captures the pulse of the industry. These hot words are not only a direct reflection of technological trends but also a concentrated expression of developers' focus.

The top ten active projects are the backbone of the entire ecosystem. They form a complete technical pipeline from the underlying framework to the application layer, showing a deep integration of academia and industry. This full-stack open-source layout provides solid infrastructure support for the popularization and application of AI technology.

Compared to the 1.0 version, the evaluation criteria this time are more strict, and the screening mechanism is more scientific. The elimination of 60 projects does not mean they have no value, but rather reflects the natural law of the open-source ecosystem's survival of the fittest. In the wave of rapid technological iteration, only those projects that truly solve practical problems and continue to receive community attention can stand firm.

The timing of this overview's release is also meaningful. Currently, the AI field is at a critical stage where it is moving from the laboratory to industrialization. As an important carrier for the spread and innovation incubation of technology, open-source projects directly affect the future direction of the entire industry. Through systematic analysis of these projects, developers can better grasp the development trends of technology and make informed technical choices.

When open-source spirit meets artificial intelligence technology, and when the wisdom of developers around the world collides in code, a more open and innovative AI ecosystem is taking shape. This overview is not only a summary of the achievements of the past year, but also a forward-looking prediction of future technological trends. In this era of constant change, only by continuously paying attention and actively participating can one find their place in the tide of technological change.