How AI plotted an interstellar journey to Alpha Centauri

A nonprofit organization, the Fermi Explorer Mission, has announced plans to launch a spacecraft toward the nearest star system, Alpha Centauri, before the end of 2029. The project, funded with roughly $15 million from private donors, relies on a trajectory discovered by an artificial‑intelligence system called Get Physics Done, developed by the PSI research laboratory. After a year of failed attempts, the AI proposed a route that brings the vessel close to the Sun—deeper than Mercury’s orbit—to take advantage of solar intensity four times greater. At each close approach, the engine fires, allowing the use of small solar panels and keeping the total mass low, in line with the tight budget. The mission will carry at least one kilogram of cargo, including art, scientific experiments, and a replica of the Voyager “Golden Record.”

Although the journey could take up to 80,000 years, the team is not aiming to be the first to arrive; instead, they seek to generate data that help address the Fermi paradox, which asks why, despite the abundance of stars, no signals from advanced civilizations have been detected. The proposal demonstrates how AI can offer creative engineering solutions that surpass human intuition, presenting a new approach to interstellar exploration. In a broader context, the effort underscores the importance of developing accessible technologies that enable humanity to participate in the search for extraterrestrial life and better understand our place in the cosmos.

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