In recent years, artificial intelligence (AI) has been advancing by leaps and bounds, transforming various sectors and shaping the future of technology. In this scenario, DeepSeek caused a stir in the market, emerging as a significant innovation, offering open and accessible solutions in AI.
In its newest version, the DeepSeek-R1, not only replicates the capabilities of OpenAI's GPT-4 model, but also challenges your mastery in various benchmarks. Furthermore, the differential of DeepSeek-R1 is being an open-source model under the MIT license, becoming a powerful alternative in the field of AI.
The DeepSeek-R1 was developed by the Chinese company DeepSeek to tackle tasks that require logical reasoning, mathematical problem solving and real-time decision making. This model was designed to demonstrate the logical decision-making process, and one of its main differentiators is allowing users to track their decision-making process. This characteristic replicates the process of human decision-making and reasoning, what is especially valuable for applications where transparency in reasoning is essential.
Notably, DeepSeek was developed at a time when international restrictions limited China's access to cutting-edge AI equipment. And to overcome these barriers, the company needed to seek alternatives to maximize the use of available resources, what led to the creation of innovative solutions. As a result, DeepSeek-R1 allows the use of existing hardware, ensuring efficiency without relying on highly specialized infrastructure.
Traditionally, large-scale language models (LLMs), like GPT-4, Claude and Llama, present challenges for its broader adoption as, for example, high computational requirements, need for a complex infrastructure comparable to supercomputers, and dependence on high-performance AI accelerators. These factors significantly increase development and operation costs, making this technology inaccessible. However, history shows that disruptive innovations often overcome these barriers, reducing costs and expanding access.
Thus, DeepSeek exemplifies this pattern, demonstrating that even the incumbent companies that dominate this market, they can be challenged and do not find themselves comfortably protected by their technological leadership. The impact was significant in the sector, it is estimated that the leading companies in the sector have lost US$ 1 trillion in market value, due to the emerging competition from open and more accessible models.
On the other hand, the dissemination of DeepSeek also raised concerns in some governments. Countries like Italy, Thailand, South Korea and Australia have imposed restrictions on the use of their apps, especially by public employees. In the United States, similar measures were adopted, based on security concerns, similar to the restrictions applied to companies like Huawei and TikTok.
It is worth noting that these restrictions apply to the apps and the website, but not necessarily to the model itself. However, security specialists, how the companies Seekr and Enkrypt AI, they warn about potential vulnerabilities of the model, that still need to be further investigated.
In general, just as it happened with personal computing, the internet and cloud computing, LLMs are on their way to becoming a more accessible technology. With new solutions that reduce costs and simplify infrastructure, the adoption of these models should accelerate, deeply impacting various sectors.
Looking to the future, more compact models, like DeepSeek, they can be ideal for implementation in trusted computing enclave environments. These environments allow for completely secure and encrypted processing of sensitive data, ensuring integrity and privacy—what is essential, for privacy-preserving machine learning agents (PPML).
This is essential to meet the growing demand for autonomous AI agents in applications that handle sensitive data, ensuring efficiency and safety. As AI becomes increasingly central to the economy and global security, reliable and secure infrastructures are necessary to meet the demand for AI agents in sensitive applications that require security and trust.
In this scenario, RT-One is bringing a strategic advancement with the construction of the first AI-focused data center in Brazil, in the city of Maringá, Paraná. This initiative aims to strengthen the country's computing infrastructure, driving artificial intelligence and cybersecurity at the national level.
With an optimized infrastructure for AI and confidential computing, RT-One and its technology partners are bringing advanced AI solutions to Brazil, ensuring high performance and protection of sensitive data.
In summary, DeepSeek represents a significant advancement in the field of artificial intelligence, offering a powerful and accessible alternative to the dominant models. Its impact is already evident in the global market, accelerating the democratization of AI and raising debates about security, regulation and technological infrastructure.
RT-One is aligned with this revolution, preparing for a future where AI, data security and digital sovereignty go hand in hand, with the potential to transform various sectors and applications. By strengthening Brazil's technological infrastructure, RT-One seeks to promote innovation in the country, creating the foundation for advancements in research and the development of new technologies and ensuring greater digital autonomy.
Fernando Palamone is an executive with over 30 years in technology management in global markets such as the USA, Europe and Asia, with passages through Intel, Cisco, VMware, IBM among others.
