Threshold / 拐点
Information is abundant.
Thought is not.
我们正站在一个奇怪的拐点。
过去二十年，技术不断消除摩擦：更快的信息、更精准的推荐、更短的反馈回路、更少的等待。最终，我们获得了前所未有的信息，却越来越难以拥有完整的思想。
We are approaching a strange threshold.
For two decades, technology has been systematically removing friction: faster information, stronger recommendation, shorter feedback loops, less waiting.
We gained unprecedented access to knowledge, yet increasingly struggle to form uninterrupted thought.
当推荐系统开始竞争每一秒注意力，当通知、短视频、摘要、AI 回答与自动生成内容形成无限的信息回路，大脑面对的不再是“信息不足”，而是一次持续不断的 认知带宽 DDoS。
于是，我们选择另一条路。
When feeds, notifications, summaries, synthetic media and machine-generated answers compete for every second of attention, the problem is no longer information scarcity.
It is a permanent DDoS attack on human cognitive bandwidth.
So we choose another direction.
Friction / 摩擦
Friction is a
cognitive checksum.
我们重新拥抱 Analog、Upcycle、Slow Tech、Repair、Silence 与 Friction。不是因为怀旧，而是因为人在物理世界中的触摸、等待、重复和不完美，本身就是认知的一部分。
摩擦不是缺陷。
摩擦是一种 cognitive checksum。
We return to analog, repair, upcycling, slow technology, silence and friction — not as nostalgia, but as recognition that touch, waiting, repetition and imperfection are part of human cognition.
Friction is not failure.
Friction is a cognitive checksum.
我们相信未来的计算不会永远被封装在一块统一的玻璃矩形中。计算会重新散落进世界：几个安静、专用、可拥有、可修复的小型智能终端，在后台完成 long-horizon tasks，而人重新回到现实生活。
The future of computing should not remain trapped inside one universal rectangle of glass.
Intelligence can disperse back into the physical world: a handful of quiet, specialised, repairable and personally owned machines performing long-horizon tasks while humans return to living.
Truth / 真相
Return to the
source of truth.
我们反对另一种正在形成的默认未来：数据集中、模型集中、身份集中、知识入口集中，最后连“什么是真的”也由少数计算系统定义。
我们拒绝把便利误认为自由，把预测误认为理解，把相关性误认为真相，把可量化误认为真实。
But another future is also emerging: concentrated data, concentrated models, concentrated identity and concentrated gateways to knowledge — until even our definition of reality is mediated by a small number of computational systems.
We reject the assumption that convenience equals freedom, prediction equals understanding, correlation equals truth, or measurement equals reality.
我们重新追求 Source of Truth。 We return to the Source of Truth.
读原始论文，而不是论文摘要的摘要。
Read the paper, not the summary of the summary.
寻找原始数据，而不是传播最广的结论。
Find the raw data.
听当事人，而不是围绕当事人的十层解释。
Listen to the witness.
允许“不知道”，允许等待，允许验证。
Allow uncertainty.
Allow waiting.
Allow verification.
因为每一次未经审视的信息转述，都会增加认知熵。
Every unnecessary layer of mediation introduces cognitive entropy.
Attention / 注意力
Knowledge is compression
through thought.
我们也拒绝 FOMO 所制造的 Pseudo-Intellect：收藏一千篇文章、订阅一百个信息源、询问十个机器人，却没有时间形成一个属于自己的判断。
知识不是摄入量。
Knowledge is compression through thought.
We also reject the pseudo-intellect of FOMO: saving a thousand essays, following a hundred feeds and consulting ten machines while leaving no time to form a thought of our own.
Information consumption is not knowledge.
Knowledge is compression through thought.
我们警惕 Dataism——相信一切都可以被数据化、排名、预测和优化；也警惕数字 Panopticon——当一切行为都成为数据点，便利最终可能变成一种温柔的控制。
所以我们提出一种不同的技术哲学：
We remain cautious of Dataism — the belief that everything meaningful can be quantified, ranked, predicted and optimised — and of the digital Panopticon, where every action becomes a data point and convenience quietly evolves into control.
We therefore propose a different technological philosophy:
更少的信息，更高的信号。
Less information. Higher signal.
更少的界面，更长的行动。
Fewer interfaces. Longer actions.
更少的推荐，更强的主动选择。
Less recommendation. More intention.
更少的即时满足，更深的长期思考。
Less instant gratification. Deeper time.
Quiet AI / 安静的 AI
It should
become quiet.
AI 不应该成为另一个需要我们照顾的信息流。
它应该安静下来。
在我们看书、散步、制作、交谈和生活的时候，它可以在远处工作几个小时、几天甚至几个月，然后只在真正重要的时候回来。
AI should not become another feed demanding our attention.
It should become quiet.
Let machines work for hours, days or months while we read, walk, make, talk and live — returning only when something genuinely matters.
未来最珍贵的技术，也许不是让人获得更多信息的技术，而是保护人不被信息吞没的技术。
The most important technology of the next era may not be technology that gives us more information. It may be technology that protects us from being consumed by it.
这不是反技术。
这是要求技术重新服从于人的尺度。
This is not anti-technology.
It is a demand that technology return to human scale.
Ownership / 所有权
Own what shapes
your mind.
Own your tools.
Own your data.
Own your attention.
Own your judgment.
Movement / 行动
Create attention.
Restore agency.
让我们建立一种新的社会创业运动：
Let us build a new kind of social entrepreneurship:
不是争夺更多注意力，而是创造更多注意力。
not systems that capture more attention,but systems that create more attention;
不是制造更多依赖，而是恢复人的自主性。
not systems that maximise dependency,but systems that restore agency;
不是让世界变得越来越顺滑，而是保留那些让我们仍然能够思考、怀疑、感受和成为自己的——必要的摩擦。
not a perfectly frictionless world,but one that preserves the necessary resistance through which we can still think, doubt, feel—and remain human.