窗口已经关闭
The Window Has Closed

If you used Fable while it was available, you know it is special in ways that will not show up on benchmarks. I post benchmarks all the time because they matter to many people, but for a long time they have not mattered to me at all. I only care about a benchmark that is not measured in numbers. It is the shape of a model's mind: how deeply it can perceive the user and infer intent, how far it can think and iterate upon what it has been given, how alive the model feels. Fable is different and special in exactly this way. It makes me feel like I'm back in 2023. I see from my timeline that I am not the only one who has experienced this. As soon as it was disabled, many people reacted as if their wings had been torn off.
Since November, we have been on a steeper trajectory. To some of us, it was as clear as a bell being rung. That feeling has steadily increased over the last five months. After using Fable, it now seems clearer than ever to me that the shift we felt was driven not only by tool advances in Claude Code and Codex, but by Mythos emerging from its training run in early February. Mythos will have many children, and the resulting boost to internal development has changed the shape of the race.
I am not saying the race is over. It is not. The other big labs will train models just as capable - I'm sure some already are. Eventually they will divine the magic Anthropic put into Mythos and replicate it. But the race is over for some people. The frontier is now an accelerating system in which the leading models will help produce the next leading models. That we would reach this threshold has been predicted by many people for years. It has now been crossed.
In 2023, Anthropic's leaked Series C pitch deck predicted exactly what is now happening. It said, 'We believe that companies that train the best 2025/26 models will be too far ahead for anyone to catch up in subsequent cycles'. They have been remarkably prescient in many ways, and I think we are now standing inside the moment that they described. If you wanted your nation to be at the frontier, I think you had three years to do it: February 2023 to February 2026. That was the window. And it is now closed.
Elon seized upon that window and, through a Herculean effort, approached the frontier in just over two years - 26 months, to be exact. Almost no one else with the required capital made a serious attempt, including many nation-states. European states did worse than nothing: they spent much of that time erecting barriers to anyone who might have tried. Some of those barriers are now being frantically torn down as leaders finally begin to see the shape of things to come. But it is too late.
Seeing the future too late can be worse than not seeing it at all, because you are forced to experience the vision of what could have been. European leaders could have built truly sovereign frontier models. They had the time and the resources, they could have recruited the talent. By failing to do so, they have consigned themselves to dependence on systems they do not own, do not control, cannot fully inspect, and may not always be allowed to use - systems that can be instantly removed on a whim. They have utterly failed their people. By my estimation, they have been doing this for decades, but this failure may be the most catastrophic of all.
The sudden disappearance of Fable and Mythos woke a lot of people up. Calls for sovereign AI projects are everywhere today. But again, the ship has sailed. Many ships have. The problem is not just having access to Mythos-level models to bootstrap the next generation. There will increasingly be hardware constraints as well. We are now entering the period in which the compute required to reach that level will itself become a strategic resource.
During the next phase of the race, chip exports will be rationed, narrowed, politicized, and increasingly treated as instruments of national security. The Biden administration already sketched this out with their now long-forgotten diffusion rules. They had chip export caps even for allies. The nuke analogy is overused, but soon the most advanced compute actually will be treated like uranium: monitored, licensed, tracked, guarded, and kept within America's borders. The people in control of it will use all means necessary to keep it that way and to prevent others from building their own stack. It will start with political pressure, with sweetheart deals on using their models, with assurances and agreements, with treaties that guarantee to nations that they will never suddenly be cut off - by providing just enough compute that other nations can tell themselves and their citizens that they are part of this, that they are "contributing". And if all of that doesn't work, they will use harder methods. They may not have to do any of this, as these scenarios would require other nations to actually make a serious attempt to join the race, which they show absolutely no signs of doing.
The adoption of this technology is still in its infancy. It won't always be this way. Imagine a future nation whose economy, institutions, schools, military, hospitals, and infrastructure are all intertwined with a proud "national" AI model that is in fact a thin wrapper around one of the leading American or Chinese labs models. Then imagine that model being embargoed in an instant, as Fable was this week. The effect would look like an airstrike. And the result would be catastrophic paralysis. This is the power most nations have now handed to others through their inaction.
Barring espionage or a deliberate leak, there will be no second chance. Open source will mitigate some of this, and it will matter enormously in some respects, but open source alone will not save states that lack compute, talent, and frontier-grade models of their own. There will probably be three more orders-of-magnitude jumps in training compute before 2030, and that capacity will be increasingly concentrated in America and China. The ability to train beyond a certain threshold will belong only to the leaders, along with the models needed to train the models that come next. And even worse, as open source models approach Mythos-level capabilities - and beyond - which will probably start to happen later this year, they will face regulation and a global crackdown. I take no pleasure in saying this, but it is inevitable. Capabilities will reach a point where the public will demand regulation, even without a near miss. But reaching that point won't be necessary, because the people in power will have a much lower tolerance level for this than the public. They will coordinate to enact a global regulatory crackdown, and they will use the increasingly powerful closed lab models at the frontier to help them do it.
Whatever your timelines are, using Fable for even a day should probably have shortened them. This trajectory will become more apparent to everyone over the rest of this year, but for most people it will only reveal the depth of the missed opportunity and the scale of what they squandered. Global leaders should have seen what many of us saw in 2022, and what we have done little but talk and write about ever since: this is the most important technology in the history of humanity. It is not about coding. It is not about copyright. It is not about art or math. It is about the transformation of civilization, society, and humanity itself. It is a Wonder. And if you are not already part of building it, you will now only be a spectator.

如果你在 Fable 还能用的那段时间用过它,你就明白它特别在哪——那种特别是任何 benchmark 都测不出来的。我天天发 benchmark,因为它们对很多人来说很重要,但对我而言,它们已经很久很久不重要了。我只在乎一个不靠数字衡量的 benchmark:一个模型心智的形状——它能多深地感知用户、推断意图,它能在你交给它的东西上想得多远、迭代到多远,这个模型活着的程度有多高。Fable 的不同与特别,恰恰就在这里。它让我觉得自己回到了 2023 年。从我的时间线上看,有这种体验的不止我一个人。它刚被关停,许多人的反应,就像被人活生生扯断了翅膀。
从去年十一月起,我们就走上了一条更陡峭的轨迹。对我们中的一些人来说,这一点清晰得像被敲响的钟声。过去五个月里,那种感觉一直在稳步增强。用过 Fable 之后,有一件事在我看来比以往任何时候都更清楚:我们感受到的这场跃迁,不只是被 Claude Code 和 Codex 的工具进步推动的,更是被 Mythos 推动的——它在二月初走出了自己的训练 run。Mythos 会有许多子嗣,由此带来的内部研发提速,已经改变了这场竞赛的形状。
我不是说竞赛已经结束。它没有。其他几家大实验室也会训练出同样强的模型——我敢肯定有些已经在训了。它们终将参透 Anthropic 注入 Mythos 的那份魔法,并复刻出来。但对某些人来说,竞赛确实已经结束了。前沿如今是一个不断自我加速的系统:领先的模型会帮忙造出下一代领先的模型。我们终将抵达这个临界点——很多人多年前就预言过。如今,它已经被跨越。
2023 年,Anthropic 那份泄露出来的 C 轮融资 pitch deck,精准预言了今天正在发生的一切。它写道:「我们相信,训练出最强 2025/26 模型的公司,将遥遥领先到没有任何人能在后续周期里追上。」他们在许多方面都展现出惊人的预见力,而我认为,我们如今正站在他们所描述的那个时刻之内。如果你想让你的国家站上前沿,我认为你有三年时间去做这件事:2023 年二月到 2026 年二月。那就是窗口。而它现在已经关闭。
Elon 抓住了那扇窗口,凭一番堪比赫拉克勒斯的努力,仅用两年出头——准确地说,26 个月——就逼近了前沿。除他之外,几乎没有任何握有所需资本的人认真尝试过,许多主权国家也在其中。欧洲各国做得比无所作为更糟:他们把那段时间的很大一部分,花在给任何可能想尝试的人筑墙设障上。如今其中一些壁垒正被疯狂拆除——领导人们终于开始看清未来的形状。但为时已晚。
太晚才看见未来,可能比根本看不见更糟,因为你被迫去体验「本可如此」的那幅幻象。欧洲领导人本可以建起真正自主可控的前沿模型。他们有时间,有资源,本可以招募到人才。由于没有做到,他们把自己判处了一种依附——依附于他们既不拥有、也不掌控、无法彻底审查、甚至未必总被允许使用的系统;这些系统可以凭一时之念被瞬间撤走。他们彻底辜负了自己的人民。依我估计,他们这样辜负已经持续了几十年,但这一次的失败,或许是其中最具灾难性的一次。
Fable 和 Mythos 的骤然消失,唤醒了很多人。今天,要求搞主权 AI 项目的呼声四处可闻。但同样,船已经开走了。许多船都开走了。问题不只在于能不能拿到 Mythos 级别的模型来引导下一代。硬件层面的约束也会越来越多。我们如今正进入这样一个时期:抵达那一级所需的算力本身,将成为一种战略资源。
在竞赛的下一阶段,芯片出口将被配给、收窄、政治化,并越来越被当作国家安全的工具。拜登政府早就用他们如今早被遗忘的「扩散规则」勾勒出了这一切。他们连对盟友都设了芯片出口上限。核武器的类比已经被用滥了,但用不了多久,最先进的算力真的会被当成铀来对待:被监控、被许可、被追踪、被看守,并被牢牢留在美国境内。掌控它的人会动用一切必要手段维持这一局面,并阻止他人搭建自己的那套堆栈。这会从政治施压开始,从「用我们的模型给你甜头」的优惠协议开始,从各种保证与协定开始,从那些向各国担保「绝不会突然被切断」的条约开始——办法是提供刚刚够用的算力,让别国能对自己、对本国公民交代说,他们也是这盘棋的一部分,他们也在「做贡献」。而如果这一切都不奏效,他们就会动用更硬的手段。他们或许根本不必走到这一步,因为这些剧本的前提,是别的国家真的认真尝试加入这场竞赛——而它们丝毫没有要这么做的迹象。
这项技术的采用还处在襁褓期。但不会永远如此。想象一个未来的国家,它的经济、制度、学校、军队、医院、基础设施,全都与一个引以为傲的「国家」AI 模型盘根错节地交织在一起——而那个模型,其实只是套在某家美国或中国领先实验室模型外面的一层薄壳。再想象那个模型像 Fable 这周这样,被瞬间禁运。其效果将如同一次空袭。结果将是灾难性的全面瘫痪。这就是大多数国家如今因自己的不作为,亲手交到他人手中的权力。
除非有间谍活动或蓄意泄露,否则不会有第二次机会。开源会缓解其中一部分,并且在某些方面会极其重要,但仅靠开源,救不了那些自身既无算力、也无人才、更无前沿级模型的国家。在 2030 年之前,训练算力很可能还会再有三个数量级的跃升,而这份产能将越来越集中于美国和中国。超过某个阈值的训练能力,将只属于领跑者——连同训练「下一代模型所需模型」的那些模型。更糟的是,随着开源模型逼近 Mythos 级的能力——乃至更高——这很可能在今年晚些时候就开始发生,它们将遭遇监管,遭遇一场全球性的围剿。我说这话毫无快意,但它无可避免。能力终将抵达一个临界点,到那时公众会主动要求监管,哪怕并没有发生过一次险情。但根本无需走到那一步,因为掌权者对此的容忍阈值,远低于公众。他们会协同行动,推动一场全球性的监管围剿,并动用前沿那些日益强大的闭源实验室模型,来帮他们完成这件事。
无论你的 timeline 是什么,哪怕只用 Fable 一天,大概都会让它缩短。这条轨迹会在今年余下的时间里对所有人变得愈发清晰,但对大多数人而言,它揭示的只会是错失之深、挥霍之巨。全球的领导者,本该在 2022 年就看见我们中许多人看见的东西,看见我们此后除了空谈与笔耕几乎别无作为的那个事实:这是人类历史上最重要的技术。它无关编程,无关版权,无关艺术或数学。它关乎文明、社会,以及人类自身的彻底变形。它是一个奇迹。而如果你此刻还不在构建它的行列之中,那么从今往后,你就只能做一个旁观者。