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AI如何规划前往半人马座阿尔法星的星际之旅
非营利组织Fermi Explorer Mission宣布计划在2029年底前发射航天器前往半人马座阿尔法星,航程可能长达8万年。该任务将采用AI物理研究实验室PSI开发的AI系统发现的新轨迹,PSI今日启动并获得由Breakthrough Energy领投的5800万美元融资。任务成本约1500万美元,将携带至少1公斤货物,包括金唱片等。
AI推荐理由 MIT Technology Review报道了非营利组织Fermi Explorer Mission计划利用AI发现的新轨迹发射星际探测器,AI系统由PSI开发,并获得Breakthrough Energy等5800万美元融资。内容具体,来源权威,但任务时间跨度极大,实际应用价值有限。
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执行摘要
一个名为费米探索者任务(Fermi Explorer Mission)的非营利组织今天宣布,计划在2029年底前向离我们最近的恒星系统发射一艘航天器。
这是一项极其雄心勃勃的任务——如果一切顺利,航天器可能需要长达8万年的时间才能到达距离4.4光年的半人马座阿尔法星。而且,该航天器将遵循一条由物理超级智能(PSI)开发的AI系统发现的新颖轨迹。PSI是一家AI物理研究实验室,今天正式启动,获得了5800万美元的资金,由微软联合创始人比尔·盖茨创立的气候关注投资集团突破能源(Breakthrough Energy)领投。
这并不是第一次有人尝试这样做。2016年,亿万富翁科技投资人尤里·米尔纳宣布了一项名为“突破摄星”(Breakthrough Starshot)的星际任务,计划发射人类首艘前往半人马座阿尔法星的航天器。该计划是利用强大的激光将微型探测器推进到光速的五分之一——足够快,能在20年内到达半人马座阿尔法星。米尔纳承诺投入1亿美元用于概念验证。但十年后,什么都没有发射。
“我们不想再做另一个‘突破摄星’,”费米探索者任务的联合创始人兼总裁菲利普·约翰斯顿说。“我们下定决心要真正发射。”
为了做到这一点,“我们并不局限于在人的一生中完成,”约翰斯顿说。“让我们想办法到达另一颗恒星。”
这项新任务目前由个人私人捐助者资助,预计成本仅为1500万美元。航天器将携带至少一公斤的货物,包括艺术和科学载荷、信息,以及一张金唱片(Golden Record)的副本。金唱片是1977年美国国家航空航天局(NASA)附在其两艘旅行者号探测器上的一张镀金唱片,收录了地球的声音和图像,作为给任何可能发现它们的文明的信息。
工程上实现星际旅行极其困难。半人马座阿尔法星距离地球约25万亿英里。人类发射过的最快物体之一——旅行者1号探测器,自1977年以来一直在飞行,但只飞过了这段距离的不到1%。以它的速度,这段旅程将需要超过7万年的时间。
约翰斯顿和他的团队花了一年时间尝试,但未能找到一种方法,让一艘仅耗资1500万美元的小型太阳能航天器到达半人马座阿尔法星。他们一直遇到一个棘手的问题:如何在不使航天器过重(从而更耗燃料)的情况下提供足够的动力。
在费米团队努力寻找可行路线后,约翰斯顿在由物理学家亚历克斯·维斯纳-格罗斯主持的播客中提到了这个问题。维斯纳-格罗斯是PSI的联合创始人。他提出用该实验室开发的AI系统“Get Physics Done”来处理这个问题。这是一个开源软件,它接受一个物理研究问题,将其分解为更小的任务,并决定运行哪些模拟,使用包括Anthropic的Claude或OpenAI的GPT在内的AI模型。
一周后,AI系统提出了一条新颖的轨迹,这让约翰斯顿感到惊讶。根据一篇尚未经过同行评审的论文,它以一种费米团队未曾考虑的方式结合了已知的轨道机动。它建议航天器可以先减速,使其轨道靠近太阳——比水星更近。在每次近距离通过时,它会点燃发动机,使太阳能电池板获得四倍的光照,而在高速下提供的推力脉冲比在其他任何地方获得的能量更多。由于发动机只在太阳附近运行,太阳能电池板可以保持较小,航天器也较轻。
PSI的联合创始人兼首席执行官马特·派恩斯表示,该系统主要靠自己运行了三天,处理了十亿个令牌。PSI的一名天体物理学家指导它遵循任务要求,要求进行成本分析和更清晰的图表,并检查输出中的错误。
“它提出了一个完全不同的任务方案,一个富有创意且不是费米团队考虑过的方案——这更令人惊讶,”派恩斯说。尽管如此,他说,该模型缺乏人类研究者的判断力和品味。它没有可靠的感觉来判断哪些问题有趣或哪些方法值得追求,因此它经常陷入死胡同或未能探索不同的方法。“我认为我们还没有弄清楚这些模型如何在内部表示这样的东西,”他在谈到研究判断时说。
即使费米探测器发射了,“我们相当确信我们不会是第一个到达半人马座阿尔法星的,”约翰斯顿说,因为他预计航天器技术会进步。如果一千年后的发动机比今天快哪怕20%,那么那时发射的航天器仍会比费米的探测器早一万多年到达半人马座阿尔法星。
但费米项目不仅仅是一项由工程雄心驱动的星际任务。它也是一次探索,旨在回答物理学中最古老的开放问题之一。1950年,物理学家恩里科·费米提出了一个谜题:银河系有数千亿颗恒星,其中大多数比我们的太阳古老得多。即使是一个在恒星之间缓慢旅行的文明,也能在几百万年内遍布整个银河系,这与银河系的年龄相比微不足道。如果某处存在智慧生命,我们现在应该已经看到了它存在的迹象。
这意味着要么到达另一颗恒星太难,要么其他智慧物种根本没有费心去做。但一旦费米探测器发射,我们将成为一个能够并且想要到达另一颗恒星的文明,这意味着这两种解释可能都不是让银河系未被探索的原因。这可能指向更令人不安的可能性,约翰斯顿说。也许像我们这样的生命几乎难以想象地稀有。或者也许智慧生命很常见,但往往在能够扩散之前就灭绝了。
如果后者是真的,“其中一个原因可能是,一旦你达到超级智能,出于某种原因,它就是自我毁灭的,”约翰斯顿说。“也许在接下来的50年里,有某个我们无法通过的伟大过滤器。所有智慧文明,出于某种原因,都无法通过。”
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EXECUTIVE SUMMARY
A nonprofit organization called the Fermi Explorer Mission announced today that it intends to launch a spacecraft to our nearest star system by the end of 2029.
It’s a hugely ambitious mission—if all goes well, the spacecraft could take up to 80,000 years to arrive at Alpha Centauri, which is 4.4 light-years away. And the spacecraft will follow a novel trajectory discovered by an AI system developed by Physical Superintelligence (PSI), an AI physics research lab. PSI is launching today with $58 million in funding led by Breakthrough Energy, a climate-focused investment group founded by Microsoft cofounder Bill Gates.
It’s not the first time this has been tried. In 2016, the billionaire tech investor Yuri Milner announced an interstellar mission called Breakthrough Starshot to launch humanity’s first spacecraft to Alpha Centauri. The plan was to use powerful lasers that would propel tiny probes to a fifth of the speed of light—fast enough to reach Alpha Centauri within 20 years. Milner pledged $100 million toward a proof of concept. But a decade later, nothing has launched.
“We didn’t want to do another Breakthrough Starshot,” says Philip Johnston, the cofounder and president of the Fermi Explorer Mission. “We’re dead set on something actually launching.”
To do that, “we are not constraining ourselves to doing it in a human lifetime,” says Johnston. “Let’s just figure out the way to get to another star.”
The new mission, currently funded by individual private donors, is expected to cost just $15 million. The spacecraft will carry cargo weighing at least one kilogram. That will include artistic and scientific payloads, messages, and a copy of the Golden Record, a gold-plated disc of Earth’s sounds and images that NASA attached to its two Voyager probes in 1977 as a message to any civilization that might find them.
Engineering an interstellar journey is extremely difficult. Alpha Centauri is about 25 trillion miles away from Earth. One of the fastest objects that humans have ever launched, the Voyager 1 probe, has been flying since 1977 and has covered less than 1% percent of that distance. At its speed, the trip would take more than 70,000 years.
Johnston and his team spent a year trying, and failing, to find a way for a small, solar-powered spacecraft costing only $15 million to reach Alpha Centauri. They kept running into the knotty problem of how to give the spacecraft enough power without making it too heavy (and thus more fuel-guzzling).
After the Fermi team struggled to find a workable route, Johnston mentioned the problem in a podcast hosted by Alex Wissner-Gross, a physicist who cofounded PSI. Wissner-Gross offered to run it through an AI system the lab developed, called Get Physics Done. It’s open-source software that takes a physics research question, breaks it into smaller tasks, and decides which simulations to run, using AI models including Anthropic’s Claude or OpenAI’s GPT.
A week later, the AI system turned up a novel trajectory, to Johnston’s surprise. It combined well-known orbital maneuvers in a way the Fermi team had not considered, according to a paper that has not been peer-reviewed. It suggested that the spacecraft could first slow down so its orbit swings in close to the sun—closer than Mercury. On each close pass, it would fire its engine so that the solar panels get four times the light, and a burst of thrust delivered at high speed would buy more energy than the same burst anywhere else. Because the engine would run only near the sun, the solar panels could stay small and the spacecraft light.
The system conducted the research mostly on its own for three days, running on a billion tokens, says Matt Pines, the cofounder and CEO of PSI. An astrophysicist on PSI’s staff steered it to follow the mission’s requirements, asked for a cost analysis and clearer charts, and checked the output for errors.
“The fact that it came up with an entirely different mission profile, one that was creative and not one [the Fermi team] had considered—that was the more surprising aspect,” says Pines. Still, the model lacks a human researcher’s judgment and taste, he says. It has no reliable sense of which problems are interesting or which approaches are worth pursuing, so it often gets stuck chasing dead ends or failing to explore different approaches. “I don’t think we’ve yet figured out how these models can internally represent something like that,” he says of research judgment.
Even if the Fermi probe launches, “we’re pretty confident that we will not be the first to arrive” at Alpha Centauri, says Johnston, since he expects spacecraft technology to improve. If an engine a thousand years from now is even 20% faster than today’s, a spacecraft launched then would still beat Fermi’s probe to Alpha Centauri by more than 10,000 years.
But the Fermi project isn’t just an interstellar mission driven by engineering ambition. It’s also a quest to answer one of the oldest open questions in physics. In 1950, the physicist Enrico Fermi posed a puzzle: The galaxy has hundreds of billions of stars, most of them far older than our sun. Even a civilization traveling slowly between stars could spread across the whole galaxy in a few million years, which pales in comparison to how old the galaxy is. If there is intelligent life somewhere, we should have seen signs of its existence by now.
That means either reaching for another star is too difficult or other intelligent species simply haven’t bothered. But once the Fermi probe launches, we will become a civilization that can and wants to reach another star, meaning that neither explanation might be what’s keeping the galaxy unexplored. That could point us toward more unsettling possibilities, says Johnston. Maybe life like ours is almost unimaginably rare. Or maybe intelligent life is common but tends to die out before it can spread.
If the latter is true, “one of those reasons could be that once you hit superintelligence, that for some reason is self-destructive,” says Johnston. “Maybe in the next 50 years, there’s some great filter that we do not pass through. That all intelligent civilizations, for some reason, do not pass through.”
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