The artificial intelligence revolution, initiated by OpenAI with ChatGPT in 2022, had already disrupted digital uses. This chatbot capable of writing, programming and analyzing complex problems had attracted 100 million users in just two months, setting a historic record. Its dazzling success had pushed technology giants to accelerate their own developments in AI, radically transforming the landscape of digital innovation.
A global battle for AI supremacy
The new system o3 d’OpenAI marks a decisive step forward with a score of 85% on the ARC-AGI test, a rigorous assessment of artificial general intelligence designed by French researcher François Chollet. This performance, equal to average human intelligence, surpasses the 55% of previous systems. Faced with this breakthrough, competitors are intensifying their efforts. In China, Baidu revealed Ernie Botwhile ByteDance invests heavily in its language model. Alibaba developed Tongyi Qianwenwhile Tencent improves his assistant Hunyuan. Google retaliates with Gemini, Microsoft strengthens Copilotet Meta accelerates the development of Llama.
Innovation at the heart of the o3 system
The methodology ofo3 draws inspiration from past successes, including d’AlphaGo who had triumphed in the game of Go. The system explores various “chains of thought“, breaking down each problem into steps before selecting the optimal solution. This approach allows to excel in complex tasks, such as grid analysis where they must identify transformation rules from limited examples. His ability to find the simplest and most adaptable explanations reveals a form of sophisticated reasoning.
The challenges of a technological revolution
The enthusiasm generated by o3 raises fundamental questions. OpenAI’s discretion on the technical aspects of its system fuels the debates: is this a targeted optimization for the ARC-AGI test or true general intelligence? In-depth evaluations will have to measure its versatility in various situations. If o3 confirms its adaptation capabilities, we could witness the emergence of a generation of self-learning AI. This development could redefine our interactions with machines and upset global economic balances, while requiring in-depth reflection on the ethical framework of these technologies.
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