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When artificial intelligence begins to reason

Rubik’s Cube

The advent of DeepSeek has sparked intense examination from experts worldwide, particularly because it introduces a remarkable feature: the 'model R1', which allows the AI to search for answers in a manner akin to human thought. This development signifies a monumental leap forward in the evolution of artificial intelligence, suggesting that machines might begin reasoning with depth similar to humans.


A New Player in AI Landscape


Launched recently, DeepSeek has quickly established itself alongside giants like OpenAI’s ChatGPT and Google’s Gemini. What sets DeepSeek apart is its cost-effective development and open-source model, allowing users to install and run it on their systems. According to industry reports, DeepSeek was developed at significantly lower costs than its competitors—OpenAI reportedly spent hundreds of millions on developing ChatGPT, while DeepSeek's funding has been substantially less, indicating a shift towards more accessible AI technologies. This democratization of technology is not just a trend; it’s a challenge to established players who have historically dominated the AI landscape.


Kai-Fu Lee, a prominent voice in AI discourse and former president of Google China, had long warned that China would not lag in the AI race. With DeepSeek’s launch, his predictions are ringing true, as its R1 model piques the interest of many researchers and technologists.


The R1 Model and Human-Like Thinking


Delving deeper into DeepSeek reveals the unique structure of its R1 model. The model stands out because it encourages the AI to approach questions with contemplation and analysis, mimicking what psychologist Daniel Kahneman describes as System 2 thinking—slow, deliberate thought. Most AI systems, including traditional models, operate on rapid responses that resemble System 1 thinking, which is instinctual and fast.


DeepSeek’s approach of being quick with simple queries while taking its time with complex ones is innovative. In March 2025, a comparative study demonstrated that DeepSeek's R1 model achieved accuracy rates above 85% in reasoning tasks, surpassing other models that predominantly used rapid response mechanisms for complex questions. This ability to “pause and think” shows that the AI not only processes information but is beginning to exhibit reasoning capabilities, a critical shift that expands the potential applications of AI.


A New Era of Deep Reasoning


Historically, defining moments like AlphaGo’s poignant moves against champion Lee Sedol showcased AI surpassing expectations through creativity. DeepSeek signals a similar inflection point—its capacity for “deep reasoning” could fundamentally change tasks in diverse fields such as engineering, medicine, and legal analysis, where complex problem-solving is essential.


Moreover, the transparency brought by publicizing the underlying code and techniques enables a wider pool of researchers to enhance and innovate further, ensuring that the landscape is not monopolized by a select few corporations. Recent reports highlight an uptick in the number of startups leveraging DeepSeek for applications in drug discovery and personalized medicine, showcasing its potential impact across varied sectors.


The Future of Human Cognition


An intriguing question arises: could we, as humans, lose our status as the foremost cognitive leaders? The emergence of deep reasoning in AI suggests that we may soon share this capacity. There is a potential for machines, particularly those utilizing DeepSeek’s R1 model, to tackle challenges that typically necessitate human expertise after extensive reflection. Research from Stanford University in 2024 indicated that AI could indeed improve upon human problem-solving in cases involving vast datasets, indicating that the gap in reasoning capabilities could close rapidly.


This presents a pivotal issue regarding the role of human intellect in future discoveries. While OpenAI’s earlier models began this journey toward deeper reasoning, DeepSeek’s accessibility may significantly accelerate this transition.


A Shift in Dynamics


As we embrace these advancements in AI, the global dynamics of technology development are shifting. Emerging technologies are propagating at a rapid pace, with AI investment reaching over $100 billion worldwide in just the past year. This acceleration is prompting businesses and researchers to explore AI's expansive applications, pushing the boundaries of what's possible.


In conclusion, the emergence of DeepSeek marks the beginning of a new chapter in artificial intelligence. As machines become capable of deeper reasoning, the balance of cognitive power may very well shift, prompting us to rethink our roles in this evolving landscape. The race has begun, and it promises to challenge our understanding of creativity and intelligence in unprecedented ways.


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