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DeepSeek Expands Open-Source AI Efforts with New Code Release

by Jay Peters
February 22, 2025
in AI Artificial Intelligence
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Chinese AI startup DeepSeek is taking another bold step in the open-source movement. The company announced on Friday that it will publicly release five code repositories next week, reinforcing its commitment to transparency and collaboration in artificial intelligence.

DeepSeek’s Latest Open-Source Contribution

In a social media post on X, DeepSeek described this release as “small but sincere progress” towards greater openness in AI. The company emphasized that these tools have already been tested in real-world production environments.

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“These humble building blocks in our online service have been documented, deployed, and battle-tested in production,” the post stated.

This announcement follows DeepSeek’s game-changing release of its R1 reasoning model last month, which rivaled leading Western AI models in performance despite being developed at a lower cost. The move sent ripples across the AI industry, positioning DeepSeek as a major contender in the field.

A Unique Approach to AI Development

Unlike many AI firms in China and the U.S. that lean toward closed-source models, DeepSeek stands out with its open-source philosophy. The company’s low-profile founder, Liang Wenfeng, previously shared his perspective in a rare interview last July, highlighting the cultural and intellectual benefits of open-source innovation.

“Having others follow your innovation gives a great sense of accomplishment,” Liang stated.

“In fact, open source is more of a cultural behavior than a commercial one, and contributing to it earns us respect,” he added.

Enhancing AI Infrastructure

The newly released code aims to strengthen the infrastructure supporting DeepSeek’s existing AI models, further building on its open-source foundations. This strategic move aligns with the company’s broader vision of fostering a collaborative AI ecosystem.

The announcement comes shortly after DeepSeek introduced a groundbreaking algorithm, Native Sparse Attention (NSA), which enhances efficiency in long-context training and inference—critical for advancing AI performance.

DeepSeek’s Soaring Popularity

DeepSeek’s user base has surged in recent weeks, making it China’s most popular chatbot service. As of January 11, the platform boasted 22.2 million daily active users, surpassing the widely-used Douban, which had 16.95 million users, according to Aicpb.com, a website tracking AI trends.

The Future of Open-Source AI

With DeepSeek continuing to push boundaries in open-source AI, its latest move raises important questions: Will other companies follow suit? How will this impact AI innovation on a global scale? One thing is clear—DeepSeek’s commitment to openness is reshaping the AI landscape, and the industry is watching closely.

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