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So Many Tomorrows Are Worth Reaching

What kind of tomorrow is worth reaching—and what can we begin today?

The future is a set of paths still open.
The future is a set of paths still open. · Original concept cover
Original on WeChatAI & our human future

At its recently held 2026 AI Ascent summit, Sequoia Capital announced the arrival of AGI from the perspective of capital and services. In other words, agents that can independently break down tasks, work continuously, and complete them without human intervention in business and service settings have now reached maturity. Earlier AI systems could often work continuously for only a few minutes; by May 2026, AI could already work for several hours at a time.

Beyond the longer periods of work and greater processing capability involved in completing complex tasks with Claude Code, OpenAI’s Codex can even work continuously for eight hours to finish an extremely complex engineering project, with substantial quality in what it delivers.

With intelligence helping us, the time needed for large-scale data analysis, expert-level reasoning, and long-term, highly demanding team projects is shrinking sharply, while the barriers to entry are falling at an astonishing pace. At present, almost all code inside Anthropic and OpenAI is generated by AI. One-person companies, or OPCs, built around highly capable individuals are taking shape faster, and the boundaries of capability are expanding substantially. One metaphor at the summit was particularly memorable: in the 1860s, aluminum was more precious than gold, and Americans used it to cap the Washington Monument. Then electrolysis arrived, and within 30 years aluminum had become candy wrappers and drinks cans. Bhler said that aluminum is human intelligence, and electrolysis is AI. PhD-level expertise and industry know-how accumulated over more than a decade are experiencing the same fate. Once something scarce can be reproduced at scale, it ceases to be valuable.

We keep asking where progress is taking us and what it means. Where do possibilities lie? When traditional standards are being eroded faster by the tide of the times, when yesterday’s rules no longer apply today, when value shifts, the boundaries of capability dissolve, and experience no longer means what it once did—how can we reach a tomorrow worth reaching?

Perhaps the answer lies not in grand predictions, but in this group of young people. They may not have the highest GPAs, but they have already begun using AI to rewrite the boundaries of their own abilities.

On May 8, 2026, OpenAI announced its Future Stars program, recognizing 26 young people and teams who frequently used ChatGPT during university. All were around 20 years old, and all were highly capable individuals empowered by AI.

Ethan, 22, and Jamie, 26, worked with AI to start a company called Icarus Robotics, which researches space robotics. They have already raised $6.1 million and are preparing for tests on the International Space Station in early 2027.

Nayel, Arhan, and Rushil, all under 20, created Wi-Find, a project that uses Wi-Fi signals to detect people trapped behind walls. The machine-learning model they invented with AI identifies subtle changes in signals as they pass through rubble, determining whether someone is underneath.

Zeyneb, 19, worked with local communities to collect more than 500 minutes of language data and oral histories, and developed an efficient algorithm requiring little data. With help from ChatGPT and other tools, her project, The Revive Project, produced the first structured linguistic record of the endangered dialect Romeyka, including translated oral histories.

Others have trained a semantic search engine that can now search more than 100 million telescope images…

Achievements like these at around 20 years old would be hard to imagine without an enormous infusion of resources. Yet in this era they are happening before our eyes, and such examples are becoming increasingly common.

We cannot help asking: when the boundaries of individual capability dissolve, does that bring erosion or expansion? Does it weaken individual competitiveness, or comprehensively upgrade what a person can do?

We believe this is not settled by reflection alone, nor is it a binary opposition. The replacement of one specialized ability does not mean the disappearance of diverse capabilities. As standards shift, other qualities come into view. What ultimately determines the result is how we respond; the ability to act is the best answer. And when immediate action receives immediate feedback from AI, and the cost of trying is driven ever lower, we gain a new way of working for the first time: start doing, then work out the answers to those questions.

And when is the most competitive time to start? The answer is now!

More evidence suggests that AI capabilities are approaching a threshold in certain areas, yet there is no sign of them stopping. What we have accomplished, however, is nowhere near that threshold. On the side of demand, vast possibilities remain to be created. The real barriers of the future will lie not in technology itself, but in discovering more needs earlier and in each person’s way of meeting them. The first of these is precisely the ability to redefine problems. Our true limitation is that we do not dare to imagine or act.

Against this backdrop, capabilities connected with action rather than specialist skills become much more prominent. At Sequoia Capital’s closed-door AI summit, leaders across fields generally considered it very important to develop ‘distinctly human’ capabilities. Communication, interpersonal skills, emotional care, value judgments, and cooperation thus come to the fore. These uniquely human abilities will become more precious in the AI era. They shape the speed and quality of our actions, as well as the specific difficulties we encounter in developing them. It is often through interacting with real people that real opportunities and progress emerge.

Aluminum’s journey from the top of a monument to a drinks can was indeed a loss of value. Yet it was precisely because aluminum became so cheap that the aviation industry could develop and the modern life we see all around us could be built. The transformation of intelligence is similar. The point is not its own value, but everything we accomplish with it.

Returning to the title: what kind of tomorrow is worth reaching? The answer is clear—a tomorrow actively made by the person you are now, through your ideas and actions. We believe there are many such tomorrows. After all, beyond every tomorrow lies another entirely new tomorrow…

红杉资本在刚刚举办的2026年AI闭门峰会(AI Ascent)上从资本与服务的角度宣告了 AGI的到来,即是在商业领域和服务领域中无需人工干预便能自主拆解任务连续工作并完成任务的Agent(智能体),目前已经是成熟阶段。以往的AI往往只能连续工作几分钟,而26年5月的AI已经可以连续工作数小时。

除了在claude code中完成复杂任务的时长变长,处理能力变高。Open ai的codex甚至能达到连续工作8个小时来完成一个极其复杂的工程项目,而且交付质量是可观的。

在智能的帮助下,诸如大规模的数据分析,专家级的推理,长期高难度的团队工作项目的周期正在急剧缩短,门槛正在以一种匪夷所思的速度下降,就目前而言,Anthropic,open ai内部几乎绝大多数的代码已是由ai合成,超级个体OPC公司正加速落地,能力的边界正在被大幅度扩展。会议上有一隐喻让人印象深刻:1860年代,铝比黄金还珍贵,美国人给华盛顿纪念碑封顶用的就是铝,然后电解法出现了,30年里铝变成了糖纸易拉罐。Bhler说铝就是人类的智力,电解法就是AI。十几年积攒的Phd级别的专业技能,行业know how正在经历一模一样的命运,稀缺之物一旦可以被大规模复制,便变得不再值钱。

我们一直不断的在叩问前进的方向与意义在何方?可能性在何处?当传统标准正在被时代的浪潮加速侵蚀,当过去的规则在如今的时代不再适用,时代风云变幻下,当价值被转移,当能力的边界被稀释,当经验不再是经验的时候,何以能够抵达值得的明天?

答案也许不在宏大的预测里,而在这一批年轻人身上。他们未必拥有最高的 GPA,却已经开始用 AI 重写个人能力的边界。

2026年5月8日,OpenAI宣布了未来之星计划,点名表扬了26个大学期间高频使用ChatGPT的年轻人和团队,他们全部是二十岁左右的年纪,全部都是AI加持的超级个体。

22岁的Ethan和26岁的Jamie,两个人和ai协作,搞了个叫Icarus Robotics的公司,用于研究太空机器人。已经融资610万美元,准备在2027年初上国际空间站实测。

Nayel、Arhan和Rushil,三人都是20岁不到,做了一个用Wi-Fi信号穿墙检测被困人员名叫Wi-Find的项目,他们和AI共同发明的机器学习模型就是抓信号穿透废墟的时候产生的细微变化,来判断废墟下面有没有人。

19岁的Zeyneb与当地社区合作,收集了超过500分钟的语言数据和口述历史,开发出高效的低数据量算法。在ChatGPT等工具的帮助下,其名为The Revive Project的项目完成了对濒危方言Romeyka的首个结构化语言学记录,其中包括翻译后的口述历史。

还有的人训练了语义搜索引擎,现在能搜超过1亿张望远镜图像……

20岁左右的年纪,就取得了如此成就,除非是极其大量资源的加持注入,否则是难以想象的,但如今,在这个时代,却真真切切的发生,而且诸如此类的案例越来越多。

我们不禁思考,当个人能力的边界被稀释后,究竟带来的是侵蚀还是扩张?到底是个体竞争力的消退还是个人能力的全面升级?

我们认为,这并不取决于思考,且并非二元对立。单一专业能力的被取代不代表多元能力的消亡,标准的迁移带来的是其他特质的凸显,最终结果的锚定从来都是取决于我们的应对,执行力才是最好的解法。而当马上的行动被AI即时反馈,尝试的成本被无限拉低,我们就第一次拥有了一种新的工作方式:先动手,再想清楚上面的问题。

而何时动手最具有竞争力,答案就是现在!

更多的证据表明,AI的能力在某些方面已经逼近某一个临界点,但并没有停下脚步的趋势,但是我们做到的事情远远没有逼近那一个临界点,需求层面存在着大量被创造的可能。而未来真正的壁垒并非技术本身,而在于更早发现更多的需求与对这一些需求的个人实现方式,前者正是重新定义问题的能力。真正的局限其实是我们不敢想不敢做。

在此基础上,和行动相关而非专业技能相关的能力被大幅凸显。在红杉资本的ai闭门峰会上,领域领导者们普遍认为发展 distinctly human 的能力非常重要,由此牵扯到的沟通,人际处理,情感关怀,价值观判断,合作能力被凸显。这些人类独有的能力在AI时代将变得更加珍贵。这一些能力构成了我们行动的速度与质量,以及具体的发展难度,往往在与真实的人交往的时候,才能创造真正的机遇与进步。

铝从纪念碑顶变成易拉罐,确实是贬值。但恰恰是铝的变如此便宜,才有了航空工业的发展,构筑了每个人随处可见的现代生活。智能变迁也如此,重点并非它本身的价值,而是我们用它成就的一切。

回扣标题,什么样的明天值得抵达?答案是明显的,由现在的你根据你的想法,行为主动做出来的明天,而这样的明天,我们相信有很多,毕竟,每一个明天之后又是全新的明天……

AFTERWORD · EDITORIAL NOTE

Reading notes

The essay moves from the changing cost of intelligence to young people’s actions, grounding a tomorrow worth reaching in choices made today. Its aluminum metaphor connects scarcity, abundance and creation, shifting attention from the price of capability to what it can make possible.

A useful question to carry forward is how action responds to real needs and works together with judgment, collaboration and care. This makes the connection between personal growth and public value more concrete.

文章从智能成本的变化走向年轻人的行动,最后把“值得抵达的明天”落在当下的选择上。铝的比喻连接了稀缺、丰裕与创造,也让讨论从能力的价格转向能力可以成就什么。

这里值得继续追问的是:行动怎样回应真实需求,又怎样与判断、合作和关怀结合?这使个人成长与公共价值之间的联系更具体。

Portrait of Siyao Lan

LANCER · SIYAO LAN

Research, reading, creation, and lived experience.

Here, technological change returns to human stories.

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