AI Charts a Course to Alpha Centauri—80,000 Years at a Time
The Fermi Explorer Mission announced today its intention to launch a spacecraft to Alpha Centauri by the end of 2029. The probe, which will carry at least one kilogram of cargo including a copy of the Golden Record, could take up to 80,000 years to reach our nearest star system, 4.4 light-years away. What's novel is the trajectory: it was discovered by an AI system developed by Physical Superintelligence (PSI), a new lab funded with $58 million led by Breakthrough Energy. This isn't just about reaching another star—it's about testing whether AI can solve problems that stump humans, and what that means for the Fermi paradox.
A Trajectory Only an AI Could Find
The Fermi team spent a year trying to design a mission that would fit a $15 million budget and a small solar-powered spacecraft. They struggled with the power-versus-weight tradeoff. After a podcast conversation, PSI's AI system, Get Physics Done, took up the challenge. It proposed a path that combines well-known orbital maneuvers in a novel way: the spacecraft would swing close to the sun, closer than Mercury, firing its engine on each pass to gain more thrust from the intensified sunlight. This allows the solar panels to stay small and the spacecraft light. The AI ran simulations for three days, using a billion tokens, and its output was checked by an astrophysicist. The result was a trajectory the human team had never considered, showcasing AI's potential to explore creative solutions in complex physics problems.
Why 80,000 Years? The Long Game of Interstellar Travel
The mission's timeline is deliberately long. 'We are not constraining ourselves to doing it in a human lifetime,' says cofounder Philip Johnston. At $15 million, it's a fraction of the cost of previous proposals like Breakthrough Starshot, which pledged $100 million but hasn't launched. The spacecraft will travel at a speed that would take over 70,000 years, similar to Voyager 1's pace. But the mission is less about arriving quickly and more about proving that a small, affordable interstellar mission is possible. Johnston acknowledges that future spacecraft will likely overtake this probe, but the goal is to launch something now, not to be first.
The Fermi Paradox and the Great Filter
The mission is named after Enrico Fermi, who in 1950 asked why we haven't seen signs of intelligent life. If launching this probe succeeds, it demonstrates that reaching another star is possible with modest resources. That challenges the idea that interstellar travel is too difficult. Johnston speculates that if intelligent life is common but doesn't spread, there might be a 'great filter'—a stage that most civilizations fail to pass. He even suggests that superintelligence might be self-destructive. By launching this mission, we become a civilization that can and wants to reach other stars, which could help us understand our own place in the galaxy.
Key Takeaways
- AI discovered a novel trajectory for an interstellar mission, combining known maneuvers in an unexpected way.
- The Fermi Explorer Mission aims to launch by 2029 at a cost of just $15 million, with a travel time of up to 80,000 years.
- The mission is named after Enrico Fermi and directly engages with the Fermi paradox and the concept of a 'great filter'.
- PSI, the AI lab behind the trajectory, launched with $58 million in funding led by Breakthrough Energy.
Source: MIT Tech Review • 🇺🇸 San Francisco
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