ChatBIT: The New Frontier of Chinese Military AI Based on Open Model Calls 🚀
Chinese researchers develop military artificial intelligence using Meta's open-source Llama model. ChatBIT reportedly achieves around 90% of the performance of OpenAI's GPT-4 language model. 🎯
🌍 In the world of artificial intelligence, China is marking a new milestone with ChatBIT, a project that promises to revolutionize the military field. Using the Llama model of Goal, of open source, researchers have made significant progress.
🌟 The most impressive thing about ChatBIT is that it supposedly achieves close to 90% of the performance of OpenAI GPT-4, one of the most advanced language models in the world. This feat places China in a strategic position in the development of technologies of AI. 🚀
🔍 With these kinds of advances, it is crucial to keep an eye on how the use of AI in the military field evolves and the implications this may have globally. It is a topic that will undoubtedly give a lot to talk about! 💬
Chinese researchers linked to the People's Liberation Army of China (PLA) They have developed an AI model called ChatBIT, designed for applications military using the open source model Flame of Meta. 🌐 According to Reuters, some of the researchers are associated with the Academy of Military Sciences (AMS), the main research group of the PLA. 📚
Three academic articles and several analysts have confirmed this information, highlighting that ChatBIT uses the Large Language Model (LLM) Call 13B of Meta. This LLM has been modified for the collection and prosecution intelligence, allowing military planners to use it for operational decision making. 🧠💡
According to one of the articles cited by Reuters, military AI is “optimized for military dialogue and question-answering tasks.” ChatBIT was also claimed to perform around 90% of the performance of the LLM GPT-4 from OpenAI, although the article did not indicate how its performance was tested or whether the AI model has been used in the field. 🤔🔍
However, its use of open-source AI models could allow it to match the latest models released by the giants. technological Americans in benchmark tests. 🏆 “This is the first time there is substantial evidence that PLA military experts in China have been systematically researching and attempting to harness the power of open-source LLMs, especially Meta ones, for military purposes,” he says Sunny Cheung, associate researcher at the Jamestown Foundation, a Washington DC-based think tank that focuses on China's emerging and dual-use technologies, including artificial intelligence. 🚀🌍
The Meta license explicitly prohibits the use of Llama for applications military, but its open-source nature makes it almost impossible to actually enforce such limits. ❌🔓 However, Meta stated in a statement that this alleged use of the LLM Llama 13B, which it considers an “obsolete version” given that it is already training Llama 4, is largely irrelevant, especially given that China is investing billions of dollars to gain an edge in technologies of AI. 💰🤖
In addition, other researchers noted that ChatBIT It only used 100,000 military dialogue records, a pittance considering that the latest models are trained on trillions of data points. Some experts question the viability of such a small dataset for military AI training. However, ChatBIT could also just be a proof of concept, with the military research institutes involved planning to create more extensive models. 📈🔬
Furthermore, the Chinese government may have released these research papers as a signal to the US that it is not afraid to use AI to gain a technological advantage on the global stage. 🌎⚔️
No matter how big or small this development is, Washington has been afraid of this news: the use of American open source technologies that will give a military advantage to its opponents. Therefore, in addition to expanding export controls on China, many American lawmakers also want to block the country's access to open source/standardized technologies such as RISC-VIt is also taking steps to prevent US entities from investing in AI, semiconductors and computing quantum in China. 💼🔒
This is the double-edged sword that American policymakers must deal with. Naturally, they do not want to give access to technologys outpaced their opponents through open source avenues; however, open source technology is also a huge driver of technological advancement, and limiting it could put American companies at a disadvantage. 🤔⚖️