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DeepSeek: Pioneering a New Type of AI Reasoning

Published March 19, 2025

DeepSeek, released on January 20, has taken the world by storm, quickly becoming one of the most downloaded free apps globally. Its user base exceeded 22 million, with people utilizing it for chat, writing assistance, and coding support.

DeepSeek operates on advanced artificial intelligence technology, specifically a form of AI known as a large language model. Other popular AI bots include ChatGPT, Grok, Claude, and Gemini, which serve similar functions.

What sets DeepSeek apart from its competitors is its efficiency. According to Vijay Gadepally, a computer scientist at the Massachusetts Institute of Technology, DeepSeek achieves its impressive performance while consuming significantly less energy. This innovation contributes to a more sustainable approach to AI technology.

AI models often receive criticism for being energy-intensive. The DeepSeek team has introduced innovative methods to streamline the development and operation of AI models, a process that Gadepally describes as novel.

Developed by a company based in Hangzhou, China, DeepSeek's energy-saving strategies were first announced on arXiv in late December. By January, the team released the DeepSeek bot, technically named DeepSeek-R1, which has garnered significant attention.

Understanding Reasoning Agents

While traditional chatbots answer questions individually, DeepSeek represents a new category known as reasoning agents. These agents can analyze complex tasks and decompose them into smaller, manageable parts. This process often resembles how humans think through problems.

When a user inputs a question into DeepSeek, it generates an initial response. However, the reasoning agent doesn’t stop there—it continues to ask follow-up questions informed by its prior answers. This iterative process, akin to human thought, can last from seconds to up to half an hour, with inquiries continually circulating within the model.

Reasoning agents are especially effective when paired with search engines and other technologies. In such cases, the agent operates as a central hub, directing the flow of information and executing tasks on behalf of the user.

DeepSeek's reasoning model is not only competitive but also more cost-effective compared to its counterparts. For instance, using DeepSeek-R1 costs approximately $2.19 for every million words, contrasted with OpenAI's subscription model, which can reach $200 per month.

Open Source Benefits

Another significant advantage of DeepSeek is its open-source model. The developers have made their methods and technologies public, allowing anyone to build modifications of DeepSeek. This contrasts with companies like OpenAI, which restrict access to their technologies.

Open-source tools provide transparency, enabling developers to understand the inner workings of the AI models and contribute to further innovations. For example, the company Perplexity has already created a free tool inspired by DeepSeek.

Challenges of Reasoning AI

Despite their impressive capabilities, reasoning agents like DeepSeek are often labeled as "thinking" machines, which can be misleading. They mimic certain cognitive functions but lack the full reasoning ability of humans. Consequently, issues such as bias, misinformation, and poor reliability persist, mirroring some challenges faced by traditional chatbots.

According to experts, the development of fully autonomous AI agents remains a contentious issue, with some researchers advocating against such advancements. Presently, reasoning agents require human guidance to operate effectively, and ensuring accountability is critical.

Looking Forward

The landscape of AI is rapidly evolving, with advancements such as Figure AI's Helix model showcasing improved reasoning capabilities in robots. Similarly, new agents like Manus from Monica are approaching near-autonomy, capable of deciding their tasks independently.

With companies like DeepSeek and OpenAI continuously pushing the boundaries of AI technology, the future of reasoning agents looks promising. As these systems develop, it will be essential to monitor their evolution and address any emerging ethical and operational challenges.

Overall, DeepSeek stands as a testament to the potential of innovative AI solutions that combine efficiency, open-source collaboration, and reasoning capabilities, paving the way for the next generation of artificial intelligence.

AI, Reasoning, Innovation