In recent years, artificial intelligence (AI) has shown increasingly powerful capabilities in scientific research. It can not only analyze data, design experiments, and even propose new hypotheses. This progress has prompted some researchers to believe that AI may be able to compete with top human scientists in the future and is expected to make Nobel Prize-level discoveries.
In 2016, the CEO of Sony AI proposed the "Nobel Turing Challenge" with the goal of building an AI system that can make Nobel Prize-level discoveries. The challenge requires AI to complete the entire process from proposing hypotheses, planning experiments to analyzing data with a high degree of autonomy, and ultimately achieve breakthroughs. Some believe that such "AI scientists" may achieve this goal in 2050 or even earlier.
In recent years, AI has come close to the Nobel Prize many times. In 2024, the Physics Prize was awarded to the founder of the field of neural networks, and the Chemistry Prize was partially awarded to AlphaFold, the protein structure prediction system developed by Google DeepMind. However, these awards are given to scientists who develop AI, not to the discoveries of AI itself.
Currently, AI can assist scientists in completing many tasks, such as decoding animal language and inferring the origin of life. A research team at Carnegie Mellon University developed the "Coscientist" system, which can use large-scale language models to command robots to complete complex chemical reactions. Japanese AI startup Sakana AI is trying to automate machine learning research with large language models.
FutureHouse, an American research organization, divides AI's participation in science into three stages: it is currently in the first stage of "assisted collaboration"; the next stage is when AI can independently propose and evaluate hypotheses; the ultimate goal is to achieve completely autonomous scientific research. Researchers at Stanford University have demonstrated that AI can discover scientific clues that humans ignore, and plan to hold the world's first academic conference with full AI participation.
Although the road ahead is filled with technical, ethical, and practical challenges, research continues to advance AI toward higher levels of scientific discovery capabilities. Whether and when AI can independently win the Nobel Prize still requires time and continued exploration to verify.