Chinese artificial intelligence company DeepSeek recently released the open version of its inference model R1, which has quickly sparked discussions in the tech community. Its remarkable breakthrough achievements left venture capitalist Marc Andreessen in awe, describing it as 'one of the most astounding and impressive breakthroughs I've ever seen,' and it has demonstrated capabilities in AI benchmarking that rival or even surpass those of OpenAI's o1 model. Notably, DeepSeek claims that its model training cost is only $5.6 million, whereas leading U.S. companies require hundreds of millions.

Zhou Hongyi, the founder of 360 Company, posted on social media discussing the fierce competition between China and the US in the field of artificial intelligence (AI). He pointed out that the AI competition between the two countries is intensifying, but he firmly believes that China will ultimately achieve victory. He mentioned that just as China has already surpassed the US in manufacturing, similar success will be seen in AI technology in the future. Zhou Hongyi specifically highlighted a Chinese AI company—DeepSeek, describing their recent performance as 'extraordinary'.

Recently, engineers at Meta shared their thoughts on the anonymous social platform TeamBlind, revealing the immense pressure brought by the AI model R1 developed by the Chinese company DeepSeek. DeepSeek is considered to be the world's first open-source AI model comparable to OpenAI's o1 model. Compared to OpenAI, R1 not only has a higher degree of openness, but its training cost is astonishingly low, at just $5.5 million. In contrast, Meta's executives ...

As global competition in the field of artificial intelligence intensifies, domestic AI models are rapidly emerging. Recently, the three domestic AI contenders—DeepSeek, Kimi, and MiniMax—successfully launched new versions, demonstrating potential to compete with OpenAI's GPT series. On January 20, DeepSeek officially released DeepSeek-R1 and simultaneously open-sourced the model weights. DeepSeek-R1 heavily utilized reinforcement learning techniques during its post-training phase.

Recently, the DeepSeek team in China has launched its latest open-source large model R1, which has gained widespread attention. The performance of the R1 model is exceptionally outstanding, surpassing OpenAI's o1 model in multiple tests, especially excelling in assessments related to mathematics and programming. In the latest AIME2024 test in the United States, R1 scored 79.8, outperforming o1's score of 79.2. In the MATH-500 test, R1 achieved a score of 97.3, again leading over o1.

DeepSeek has officially released and open-sourced its latest large language model R1, which has shown outstanding performance and is considered comparable to OpenAI's official version o1. This initiative not only marks another significant breakthrough in domestic AI technology but also provides new options for AI developers worldwide. DeepSeek R1 has extensively applied reinforcement learning techniques in the post-training phase, significantly enhancing the model's reasoning capabilities even with minimal labeled data, in areas such as mathematics, coding, and natural language reasoning.

Recently, the AI Assistant DeepSeek surprisingly launched an official app, covering both iOS and Android versions. The release was quite low-key, with even DeepSeek not conducting extensive promotion. Currently, DeepSeek's features are relatively simple and straightforward, focusing primarily on 'deep thinking' and 'online search'. Deep thinking involves generating an internal reasoning chain before answering user questions, analyzing the problem step by step, and arriving at a conclusion, utilizing DeepSeek-R1-Lit.

Recently, the domestic large model DeepSeek V3 has drawn industry attention due to its outstanding performance in the AI arena. As the only open-source model to break into the top ten, it not only surpassed o1-mini but even exceeded Claude 3.5 Sonnet in various fields, including programming and mathematics. To verify its actual capabilities, a series of comparative tests were conducted. In the basic comprehension ability test, both models exhibited different characteristics. Faced with the Chinese riddle 'Xiaoming's mother has three children', DeepSeek V3 performed...

According to Securities Times, Lei Jun, the founder of Xiaomi, successfully recruited Luo Fuli, one of the key developers of the open-source large model DeepSeek-V2, with a salary of millions, to lead Xiaomi's AI large model team. This move has attracted widespread attention in the industry and marks a strategic acceleration for Xiaomi in the field of artificial intelligence. Luo Fuli, a post-95 AI genius, graduated from Beijing Normal University and Peking University. In 2019, she became a focal point in academia by publishing eight papers at the top AI conference ACL.

The highly anticipated Deepseek V3 is finally open source! This brand-new AI model has achieved significant breakthroughs in multilingual programming capabilities, even outperforming competitors like Claude 3.5 Sonnet V2 in the aider multilingual programming assessment, attracting widespread attention in the industry. It is reported that Deepseek V3 has made a qualitative leap in performance compared to previous versions. Deepseek V2.5 had a success rate of only 17% in the aider assessment, while V3 has surged to 4.