The open-source ecosystem of artificial intelligence is undergoing an unprecedented transformation. Ant Group's major release of the "Big Model Open-Source Development Landscape and Trends 2.0" at the Bund Conference acts like a mirror, clearly reflecting the true picture of this rapidly evolving field.

This landscape was not simply a collection of data, but the result of careful selection through the rigorous OpenRank evaluation system. The research team set a threshold of OpenRank greater than 50, assessing the relative influence by analyzing collaboration relationships between projects, and ultimately identified 114 most valuable projects from the vast ocean of open source, covering 22 technical fields.

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

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Figure source note: The image is AI-generated, and the image licensing service provider is Midjourney

From the global distribution of developers, the United States contributed 24% of the development force, 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 further depicts 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 reflection of developers' focus.

The ten most representative active projects form the backbone of the entire ecosystem. They create a complete technical pipeline from the underlying framework to the application layer, demonstrating the 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 version 1.0, the evaluation criteria this time are more stringent, 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 release of this landscape also carries significant meaning. Currently, the AI field is at a critical juncture of moving from the laboratory to industrialization. As important carriers of technology dissemination and innovation incubation, open-source projects directly affect the future direction of the entire industry. By systematically analyzing these projects, developers can better grasp the development of technology and make informed technology choices.

When the spirit of open source meets artificial intelligence, and when the wisdom of developers around the world collides in code, a more open and innovative AI ecosystem is taking shape. This landscape 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 participating can one find their place in the tide of technological change.