There are new participants in the artificial intelligence chatbot market in China. We compete with giants such as Openai, Gemini, and Claudeai. It confuses the hegemony of the US -based chatbot model. DeepSeek -China’s alternative to the United States -made AI models has swept the industry.
The founder of DeepSeek spent $ 5.6 million to build a model. This is only a part of the budget used by giants such as Openai, Google Gemini, and Claudeai to build a model.
Currently, Sam Altman, the old video of Openai founder, has built an AI model with a $ 10 million “desperate” budget. At an event in 2023 in India, Altmann asked, “Can a small and smart team with a budget of $ 10 million can build a considerable thing in AI?”
This is pretty cheerful looking back.
In India in 2023, Altman asked if a small and smart team with a budget of $ 10 million could build something in AI.
His reply: “Competing with us in the training of the Foundation Model is completely desperate” https://t.co/pdyihv2x1m
-ARNAUD BERTRAND (@rnaudbertrand) January 28, 2025
His reply: “It’s completely hopeless to compete with us in the training of the Foundation model.” Deepseek’s chatbot has become the best free application on Apple’s US App Store, and American Chipmaker NVIDIA has lost nearly $ 600 billion per day.
Last month, Deepseek gained traction in a paper that the training of the Deepseek-V3 model was needed in a papier that it needed a computing power of less than $ 6 million using the low ability NVIDIA H800 chips.
Deepseek-R1, which was released last week, is 20 to 50 times more affordable than O1 model of O1, according to the task, according to the post of the DeepSeek’s official WeChat account.
Altman praised the rival RI model in X and said, “DeepSeek’s R1 is an impressive model that can be provided for prices,” he said.
“But most of the time we are excited to continue running the research roadmap, and we believe that more computing is more important than ever to succeed in our mission. Altman added, “said Altman.
Deepseek’s popularity and low cost production raised questions about the US story of swearing billions of dollars and building a generated AI model.
