A new space mission called Fermi Explorer aims to send a probe toward another star within the next few years, using a unique trajectory designed by artificial intelligence. Developed by the American research lab Physical Superintelligence (PSI), the mission plans to send the probe beyond our solar system, with the goal of reaching the vicinity of Alpha Centauri, the closest star system to Earth, which is about 4.4 light-years away. The probe will use a series of gravitational slingshots around the Sun to gradually build up speed, making its journey more efficient. The AI used in the project is not meant to control the probe in real time but to analyze and solve complex spatial mechanics problems ahead of time. This approach allows the probe to follow a carefully calculated path that minimizes the need for continuous propulsion. Once launched, the probe would reach a speed of about 85,000 kilometers per hour after twelve years of maneuvering and would then continue its journey without further propulsion. However, due to the time required for the mission, Alpha Centauri will be farther from Earth than it is today when the probe arrives. This means the probe will have to travel an extra 15,000 billion kilometers, increasing the total journey length. The probe will come within approximately 390 billion kilometers of the center of the Alpha Centauri system, but it will not come close enough to the stars or their planets to observe them directly. The Fermi Explorer project is intended to show that such ambitious space missions are possible without waiting for major technological breakthroughs. While the probe's design and launch are still in planning, the mission could launch by the end of 2029 with a payload of at least one kilogram, including scientific instruments and symbolic items, at a budget of under 15 million dollars. Despite its ambitious goals, the probe will not have the capability to communicate or function once it reaches its destination, as it will have long since run out of power.