OpenAI introduced the o3 and o3-mini models, which are described as a new milestone in artificial intelligence research. These models attract attention with their reasoning abilities and are claimed to be much more effective in solving complex problems than previous generations. Although the company has not yet made the o3 model publicly available, it has begun accepting applications from the research community for early testing. The public access date has not been announced yet.
The most striking feature of the O3 model is that it can produce clearer and stronger results by dividing the instructions given to artificial intelligence into smaller steps. This method also enables the model to explain step by step how it arrived at a conclusion, rather than just providing a final answer. In this context, o3 aims to offer its users a more transparent artificial intelligence experience with its reasoning ability.
From a performance perspective, the o3 model has made a significant improvement over its predecessors. For example, it is stated that it performs 22.8% better than previous models in coding tests. It was also announced that he had surpassed OpenAI’s Chief Scientist in competitive programming. The model, which answered only one question incorrectly in the AIME 2024 competition held in the field of mathematics, reached an 87.7% success rate in expert-level science problems. It achieved a solution rate of 25.2%, far above other models, especially in the most complex mathematics and reasoning problems that artificial intelligence usually has difficulty with.
New security approaches: Alignment by thinking
In addition to the o3 model, OpenAI also announced a security research it calls “thoughtful alignment.” This new approach requires AI models to evaluate security decisions in a series of steps. The model makes more informed decisions by analyzing whether a user request complies with OpenAI’s security policies. This method goes beyond the traditional security paradigm that is limited to just “Yes/No” responses.
For example, tests on the o1 model showed that this method gives more reliable results than previous generation models. OpenAI states that this new system is more effective, especially in security scenarios where even powerful models such as GPT-4 are challenged from time to time. This indicates that the o3 and o3-mini models will have a more robust structure in terms of security in the future.
OpenAI’s move to the o3 model is an indication of the importance the company places on reasoning capabilities. Following the o1 model, which was introduced in September, skipping the o2 model and switching directly to o3 suggests that this process has been accelerated. It is stated that the company chose this step to avoid name confusion, especially with the UK-based telecom company O2.
The concept of “reasoning”, which is becoming increasingly important in the world of artificial intelligence, arises from the need to understand how machines not only give quick answers but also how they create these answers. OpenAI’s new models are considered an important step towards meeting this need. With its reasoning capabilities, it has the potential to offer a more powerful and reliable artificial intelligence experience for both individual users and researchers.
Details about OpenAI’s o3 and o3-mini models provide important clues about what role artificial intelligence will play in solving more complex tasks in the future. These developments are being watched carefully to see how artificial intelligence technologies will evolve in terms of both security and performance.