We recently published a list of 10 AI Stocks Surging on News and Analyst Calls. In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against other AI stocks surging on news and analyst calls.
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.”
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.”
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”.
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.
For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds. The hedge fund data is as of Q4 2024.
