The interest in Chinese AI startup DeepSeek remains strong, and the company itself is actively fueling its momentum. In the latest news, the company has announced that it is going to make its models’ code publicly available. The move reaffirms its commitment to open-sourcing artificial intelligence.
Posting on social media platform X, the company said that its “tiny team” will open-source 5 code repositories next week. They describe the move as “small but sincere progress” and promise to share “with full transparency.”
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“These humble building blocks in our online service have been documented, deployed and battle-tested in production.”
-DeepSeek
Code repositories are storage locations where developers may see and contribute to software development. They are typically published in centralized hosting services like Microsoft’s GitHub. While they may contain key company assets, DeepSeek’s V3 and R1 models were open-source which implied anyone can see or modify them for free, leading to the rapid rise and success of the startup.
“As part of the open-source community, we believe that every line shared becomes collective momentum that accelerates the journey…Daily unlocks are coming soon…No ivory towers – just pure garage-energy and community-driven innovation.”
-DeepSeek
Unlike many US rival firms that tend to lean toward closed-sourced models, the company has been unique given its commitment to open-source. DeepSeek’s Liang Wenfeng said last July how the firm did not prioritize commercializing its AI models. He further noted that there was soft power to be gained from open source.
“Having others follow your innovation gives a great sense of accomplishment. In fact, open source is more of a cultural behavior than a commercial one, and contributing to it earns us respect”.
-Liang Wenfeng
With the new open-source code, DeepSeek will be providing the infrastructure to support the AI models that it has already publicly shared. Earlier, the company had also published a study with founder and CEO Liang Wenfeng one of the 15 co-authors. It discussed “native sparse attention”, which is designed to improve LLM efficiency in processing large data sets.
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A data analyst working at a computer, crunching numbers for the company’s 80% total assets.
10. Bloom Energy Corporation (NYSE:BE)
Number of Hedge Fund Holders: 42
Bloom Energy Corporation (NYSE:BE) develops solid-oxide fuel cell systems for on-site power generation, helping meet the growing energy demands of AI data centers. On February 20, the company announced an expansion of its relationship with Equinix, the world’s digital infrastructure company®.
The 10-year collaboration, now reaching over 100MW of electricity capacity, will support Equinix’s International Business Exchange™ (IBX®) data centers across the United States. Bloom’s fuel cells allow Equinix to generate on-site power at its data centers more sustainably as compared to typical grid-delivered energy.
“Our fuel cells are supplementing grid power at 19 Equinix IBX data centers in six states with cleaner and reliable onsite power. With AI adoption accelerating and data center demand exploding, our ongoing relationship underscores the scalability and reliability of our fuel cell technology to support large and complex projects. We are delighted to work with Equinix to help drive the industry forward.”
-Aman Joshi, Chief Commercial Officer at Bloom Energy.
9. International Business Machines Corporation (NYSE:IBM)
Number of Hedge Fund Holders: 60
International Business Machines Corporation (NYSE:IBM) is a multinational technology company and a pioneer in artificial intelligence, offering AI consulting services and a suite of AI software products. On February 20, the company announced the introduction of new AI Integration Services for helping clients transform end-to-end business processes with agentic AI on their preferred AI and cloud platform.
These AI Integration services will bring key capabilities to clients, including deep expertise in scaling AI with more than 75,000 GenAI-certified IBM consultants, generative AI-powered technology solutions to boost consulting expertise and a suite of pre-built templates for specific business domains and industry processes. Besides these key capabilities, the new AI Integration Services will also bring together IBM’s open ecosystem of partners to help clients transform end-to-end business processes into agentic apps. It will also help drive ROI from AI.
