In recent years, Artificial Intelligence (AI) has advanced with great strides, transforming various sectors and shaping the future of technology. In this scenario, DeepSeek caused a rage in the market, emerging as a significant innovation, offering open and accessible solutions in AI.
In its newest version, DeepSeek-R1, not only replicates the capabilities of OpenAI’s GPT-4 model, but also challenges its domain in several benchmarks. In addition, the DeepSeek-R1 differential is to be an open source model under the MIT-type usage license, making it a powerful alternative in the AI field.
Deepseek-R1 was developed by the Chinese company DeepSeek to address tasks that require logical thinking, solving mathematical problems and real-time decision making. This model was designed to demonstrate the logical decision-making process, and one of its main differentials is to allow users to track their decision-making process. This feature replicates the decision process and human reasoning, which 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 state-of-the-art AI equipment. And to circumvent these barriers, the company needed to seek alternatives to maximize the use of available resources, which 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), such as the GPT-4, Claude and Llama, present challenges for their wider adoption, such as high computational requirements, the need for a complex infrastructure comparable to supercomputers, and dependence on accelerators. high-performance AI. 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 incumbent companies that dominate this market can be challenged and are not comfortably protected by their technological leadership. The impact was significant in the sector, and it is estimated that the industry’s leading companies have lost $1 trillion in market value, due to emerging competition from open and more affordable models.
On the other hand, the spread of DeepSeek also generated concerns in some governments. Countries like Italy, Thailand, South Korea and Australia have imposed restrictions on the use of their applications, especially by civil servants. In the United States, similar measures were taken, based on security concerns, similar to restrictions applied to companies such as Huawei and TikTok.
It is worth mentioning that these restrictions apply to applications and the web page, but not necessarily to the model itself. However, security experts, such as Seekr and Enkrypt AI, warn about potential model vulnerabilities, which still need to be investigated further.
In general, as with personal computing, the internet and cloud computing, LLMs are on the way to becoming a more accessible technology. With new solutions that reduce costs and simplify infrastructure, the adoption of these models should accelerate, profoundly impacting different sectors.
Looking to the future, more compact models such as DeepSeek can be ideal for implementation in trusted enclave enclave environments. These environments allow completely secure and encrypted processing of sensitive data, ensuring integrity and privacy—which is essential for privacy-protected learning agents (PPML).
This is critical to meeting the growing demand for autonomous AI agents in applications that handle confidential data, ensuring efficiency and security. As AI becomes increasingly central to the global economy and security, reliable and secure infrastructures are needed to meet the demand for AI agents in sensitive applications that require security and confidence.
In this scenario, RT-ONE is bringing a strategic advance with the construction of the first AI focused on AI in Brazil, in the city of Maringá, Paraná. This initiative seeks to strengthen the country’s computing infrastructure, boosting artificial intelligence and cybersecurity at the national level.
With an infrastructure optimized for AI and confidential computing, RT-ONE and its technological partners are bringing advanced AI solutions to Brazil, ensuring high performance and sensitive data protection.
In short, DeepSeek represents a significant advance in the field of artificial intelligence, offering a powerful and accessible alternative to dominant models. Its impact is already evident in the global market, accelerating the democratization of AI and raising debates on 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 advances in research and in the development of new technologies and ensuring greater digital autonomy.
Fernando Palamone is an executive with more than 30 years in managing technologies in global markets such as the USA, Europe and Asia, with stints at Intel, Cisco, VMware, IBM among others.
