By Hash Techs 
DeepSeek, a Chinese AI startup, is attracting attention internationally for creating cost-effective and efficient AI models. Nonetheless, this rise has drawn scrutiny from the U.S. government, which is assessing the “national security implications” of the technology.
DeepSeek located in the United States
The US National Security Council is closely examining all information on DeepSeek, as stated by White House press secretary Karoline Leavitt.
This alert is for the American artificial intelligence sector, and efforts are being made to protect the U.S. artificial intelligence field.
David Sacks, the Tsar of White House artificial intelligence and cryptocurrencies, was asked in an interview about the potential intellectual property theft in the emergence of DeepSeek.
There is a method in AI known as distillation where a model learns from another model. Leading AI companies may soon take measures to hinder this process, potentially slowing down the development of imitating models.
President Donald Trump recently mentioned that the Chinese app could motivate American companies, also noting the positive aspect of a Chinese company developing a more affordable and efficient artificial intelligence technique.
The introduction of DeepSeek by a Chinese firm serves as a warning for our industries to prioritize competitiveness. Emphasizing our innovation and quick action can lead to positive developments and cost savings in achieving similar outcomes.
The US government is currently informally assessing the DeepSeek software, with the possibility of a thorough code review or even a potential ban in the country.
DeepSeek’s Ascension
Established in 2023 by Liang Wenfeng, a former math prodigy and fund manager, DeepSeek has competed against major tech companies like OpenAI and Google.
In December 2024, the company introduced “DeepSeek-V3”, a language model that competes with GPT-4 and Llama 3. Its key advantage lies in delivering top-notch answers and tackling intricate equations with significantly less computational resources and expenses compared to other models.
The DeepSeek method integrates open source methods and enhancements to enable more cost-effective AI model training. For instance, it achieved training at a fraction of the cost compared to similar models in the US, costing less than $6 million with the use of less advanced chips.
The company decided to release its open-source “DeepSeek-R1” model, enabling global developers to use and change the technology, fostering a collaborative environment in the AI industry.
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