Computing Life - Alive

后智慧时代生存指南：关于未来的一些疯狂随想

2025-06-18T16:00:00-07:00

开篇

我们少年时，都曾痴迷于故事里那些雄辩的外交官。他们是魅力的化身。那种在关键时刻力挽狂澜的智慧，那种说话能让人瞬间卸下防备的共情力，那种任何场合都能掌控节奏的松弛感。这种智慧和能力，我们默认是世界上最公平的资产，因为它似乎无法被直接购买或继承。它是天赋与汗水的结晶，是牢牢长在一个人身上的终极优势。它能让你在职场上如鱼得水，在情场上无往不利。正因如此，它才如此珍贵，如此令人渴望。

但如果，技术将这份最后的公平彻底颠覆了呢？

如果这种人人渴求、却无法轻易获得的智识魅力，突然变成了一种可以即时调用、按需付费的云服务呢？它不植入你的大脑，它只在你的耳边低语——通过一副名为赫耳墨斯的、看起来与普通眼镜无异的设备。

当人类最引以为傲的内在品质，变成了一个可以交易、分配、预算的外部商品时，支撑我们世界的价值基石，会发生怎样的崩塌？

（一）心智的预算

陈翔回到家时，已近午夜。客厅漆黑，唯有卧室门缝下，透出一线昏黄的光。他知道，妻子又在为公司的项目而烦恼。他脱下外套，在门口伫立片刻，能清晰地听见卧室内传来压抑而细碎的抽泣声。

他的心，像被一只无形的手攥紧。他知道自己必须进去，必须拥抱她，必须说些能让她好受的话。但他想不出来，一个字也想不出来。一天的劳碌之后，疲惫如铅，注入四肢百骸，大脑仿佛一团浸透了冷水的棉絮，沉重而混沌。

一个半透明的界面，只有他能看见，悄无声息地浮现在他的视野一角。

【情感交互模块 v3.5】

选项一：标准安慰套餐。（包含：拥抱姿态引导、三句通用安慰语料、轻拍后背频率建议）。消耗积分：0.8单位。

选项二：深度共情模式。（实时分析对方语音情感波动、微表情，生成个性化共情话术，提供后续话题建议）。消耗积分：25单位。

选项三：幽默转移注意力。（从云端知识库检索一个适合当下气氛的、保证她能笑出来的温情笑话）。消耗积分：3单位。

陈翔的目光，死死地盯着视野右上角那行猩红的数字：【本月家庭认知积分预算剩余：27单位】。

这个月，为了攻克那个该死的项目，他已经透支了海量的逻辑推理与创意风暴额度。下周，他还有一个决定生死的客户提案，那将是一场硬仗，没有谈判辅助Pro Max的加持，他毫无胜算。而那个Pro套餐的启动费用，恰好是25单位。

他看着那个深度共情模式后面的数字25，喉咙发干。他知道，这是此刻唯一正确的选择。他甚至能想象出，经由赫耳墨斯传来的声音，会生成怎样滴水不漏的完美句子，那些句子会像一件温暖的羊绒大衣，妥帖地包裹住妻子，让她感到被全然地理解、被深刻地爱着。

最终，他还是伸出手指，在空气中，轻轻点下了选项一。

他走进卧室，按照赫耳墨斯在他视野中投射出的虚拟人形轮廓，给了妻子一个标准的拥抱。他闻着她洗发水的清香，听着AI通过骨传导耳机传来的、毫无感情的指令：重复以下语句：亲爱的，没事的。

亲爱的，没事的。他听见自己的声音，干涩、僵硬，像一块被风干的木头。

在他拥抱妻子时，眼镜的一角，视野并未占用的区域，已经开始以半透明的形式，预加载他明天提案所需的数据流与图表。他的大脑，此刻正被迫进行着双线程操作，一半在感受妻子的体温，一半在预演明天的战争。

妻子在他怀里哭得更伤心了。他抱着她，脑子里却在想，幸好，还剩下26.2单位的预算。下周的提案，应该够了。

（二）生命的交易

林菁从感官采集舱里醒来时，第一个感觉是饿。一种仿佛三天没进食的、胃部绞痛的饥饿。她坐起来，活动了一下僵硬的颈椎，看了看时间。周一，早上七点整。

她精神饱满，思维像被超频的处理器一样锋利。她的人生，像是被剪辑过的影片，从周五傍晚那个疲惫的下班时刻，直接跳到了周一清晨这个蓄势待发的黎明。

但那个周末并非一片空白。恰恰相反，一段不属于她的、长达四十八小时的记忆被强行植入了她的脑海。她清晰地记得，自己仿佛一个被缚在座椅上的幽灵，被迫以千倍速审核着撞车、暴雨、冰雹等极端路况的视频，那种枯燥、重复、混杂着惊恐与恶心的劳动，像一道无法磨灭的划痕，覆盖了她原本应该拥有的、属于阳光和懒觉的周末记忆。

她手腕的终端上，一行冰冷的系统通知解释了这一切：

【感谢您为奇点AI贡献了48小时的无意识感官数据流，主要用于Llama-18-自动驾驶-极端天气模型的标注与训练。作为回报，您的账户已存入8,500单位认知积分。祝您工作愉快。】

上午十点，会议室。她用积分启动了只对顶级会员开放的众神殿模型实时辅助。世界在她的眼前，立刻被解析、被量化。她能看到每一个参会者头顶浮现出的情绪状态分析与关注点预测；她能实时接入公司的所有数据库，任何一个问题，她都能在0.1秒内给出旁征博引的完美答案；当CEO提出一个刁钻的质疑时，众神殿甚至在她的脑海里模拟出了三种最佳的应对策略，并清晰地标示出各自的风险与收益。

那两个小时，她不是林菁。她是一个无所不知、反应如电、魅力四射的神。

汇报大获全胜。

中午，她一个人坐在楼下的快餐店，点了一份双倍肉量的汉堡。窗外阳光正好，有几个大学生在街边弹着吉他唱歌，唱得跑调，但笑得灿烂。她看着他们，那段被植入的、充满负面情绪的工作记忆突然翻涌上来，让她感到一阵生理性的恶心。

她付出的不是时间，而是用一段鲜活、洁净的生命，去置换了一段被数据污染的、伤痕累累的过去。她用自己，去喂养了一个非人的神，只为换取在人间的片刻辉煌。

（三）被折叠的寿命

凯回到家乡时，闻到的是熟悉的、混合着泥土和青草的味道。他已经有半年没回来了。他看起来精神焕发，但眼神中有一种与他年龄不符的、疲惫的睿智。

饭桌上，他向父母解释自己这半年的生活。他参与了一个名为时间折叠的精英项目。每天，他只需要在现实世界中工作八小时，但在这八小时里，通过AI对大脑进行超高密度的信息刺激，他完成了相当于七十二小时的工作产出与技能训练。半年的物理时间，他将四年半的职业经验与人生阅历，硬生生压缩进了自己的生命。

他自豪地说：爸、妈，我用半年的时间，活出了别人五年的长度。我已经提前完成了人生的原始积累。

母亲听完，没有表现出预想中的高兴，反而沉默了许久，然后问了一个问题：那……阿凯，这半年里，你有多久没在晚上，好好看过一次星星了？

凯愣住了。

在他的折叠时间里，没有星空，没有散步，没有无所事事的闲聊和听鸟鸣。所有低信息密度的体验，都被系统判定为冗余而自动过滤掉了。他拥有了更长的有效寿命，但代价是，他失去了构成生命质感的所有无效但美好的瞬间。

他回望过去半年，发现自己的生命虽然被极大地拉长了，但也变得无比稀薄。时间像是被不断兑水的墨水，看似装满了整个瓶子，颜色却淡得几乎透明。

他想跟父母解释这种全新的生命观，但他发现自己做不到。他所经历的那些高密度的信息风暴，对父母来说就像另一个维度的语言。他活得比别人长，但也活得比所有人都孤独。

（四）同调率的天赋

张浩比项目组里的任何人都更努力。

他几乎背下了赫耳墨斯三百页的用户手册，购买了市面上所有关于高效人机协同的在线课程，甚至在深夜，当别人已经入睡时，他还在一遍遍地练习如何用最精准的自然语言，向AI下达最复杂的指令。他坚信勤能补拙。

但这一切，在李伟面前，都像个笑话。

李伟是他的同事，他们用着同款的赫耳墨斯，处理同样的项目。可李伟从不看手册，也从不加班练习。他与AI的交互，是肉眼可见的流畅与优雅，仿佛AI只是他大脑延伸出来的一个无需思考的器官。他总是微笑着，一边听，一边就已经在脑中完成了与AI的数轮高速迭代。

今天下午的头脑风暴，是张浩的噩梦。

当经理提出一个复杂的需求时，AI的建议在他脑中像是一段需要二次编译的、滞涩的代码，他必须费力地去理解、去整合，才能勉强跟上节奏。而李伟，则像与AI心有灵犀，总能在那股信息流中捕捉到最闪光的想法，并用一种浑然天成的语言表达出来。

会议结束时，张浩因贡献寥寥而脸色苍白。李伟走过来，真诚地拍了拍他的肩膀，说：兄弟，你就是太紧张了，想得太多，再放松一点，把它当成你自己的直觉就行。

那一刻，张浩感受到了一种比失败更深刻的寒意。他终于明白，他与李伟之间的差距，无关努力，无关技巧，而是一种与生俱来的、名为AI同调率的生理特征。他像一个色盲，无论如何努力学习色彩理论，也永远无法真正看见彩虹。

勤能补拙。他从小被教导的信条，在这一刻，成了一个冰冷的、残酷的玩笑。

结束语

当人类最渴求的、那份不可转移的智识魅力，突然变得可以交易时，会发生什么？

这四个故事，是四种可能的答案。它们共同描绘了一种深刻的荒谬：人类文明花费了数千年，将智慧、品格、洞察力这些概念捧上神坛，视之为个人成就的顶峰。而现在，技术以一种我们无法拒绝的效率，将这一切重新打回了凡尘，将它们变成了可以被预算的商品、可以被交换的耗材、不可逾越的天赋，和一份可以被量化的KPI。曾经，外交官是我们对天赋型人类的全部想象：无法伪造的光芒，不可传授的气场。但如今，这种光芒可以购买，这种气场可以预训练。

你或许会觉得，这一切，终究是遥远的科幻。

但是，请想一想：就在不久前，最顶尖的AI已经能在奥林匹克数学竞赛中，取得超过人类金牌选手的成绩。是的，调用它的成本此刻依然极其高昂，运算速度也还不够快。但我们都忘了，技术的进步是指数级的。摩尔定律的幽灵，依然在数据中心里徘徊。就像你手机里那个AI助手，在两年前还只会报天气，但现在能替你订外卖、写文案、聊情感问题。今天跑一次要几千美元的昂贵模型，就是我们故事里，陈翔需要为之节衣缩食的谈判辅助Pro Max的雏形；今天需要巨大算力才能实现的大神级表现，就是林菁启动的那个众神殿模型的0.1版本。

智慧，这个人类文明中最古老、最受尊崇的追求，也许很快就不再仅仅是一种内在的品质，更是一种可以被接入、被优化、被管理的外部资源。它不再是我们攀登山峰的成就，而更像是脚下可以随时铺设的缆车。

这带来的，将不仅仅是个人命运的改变，而是一场彻底的、席卷整个社会的剧变。

当教育的本质不再是传授知识，而是训练与AI的同调率时，我们的学校会变成什么样？当婚姻与社交的成败，取决于你购买的情商套餐时，人与人之间的信任还剩下几分？当一个国家的竞争力，直接取决于它所掌控的顶尖AI模型的版本号时，新的世界格局又将如何排布？

这也许不是遥远的猜想，而是即将拉开大幕的，我们所有人的新现实。

A Survival Guide for the Post-Wisdom Era: Some Wild Thoughts on the Future

2025-06-18T15:00:00-07:00

Prologue

In our youth, we were all captivated by the eloquent diplomats in stories. They were the embodiment of charisma. The wisdom to turn the tide at critical moments, the empathy in their speech that could instantly disarm anyone, the relaxed confidence to control any situation. We assumed this wisdom and ability were the world's fairest assets, for they seemed impossible to buy or inherit. They were the crystallization of talent and sweat, the ultimate advantage intrinsically part of a person. It could make you successful in your career and invincible in love. That's why it was so precious, so desirable.

But what if technology completely subverted this final bastion of fairness?

What if this intellectual charm, coveted by all but hard to obtain, suddenly became a cloud service, available on-demand and pay-as-you-go? It wouldn't be implanted in your brain; it would just whisper in your ear—through a device named Hermes, indistinguishable from ordinary glasses.

When humanity's most cherished inner qualities become external commodities that can be traded, allocated, and budgeted, what kind of collapse will the very foundation of our world undergo?

(I) The Budget of the Mind

It was nearly midnight when Sean returned home. The living room was dark, save for a sliver of dim yellow light from under the bedroom door. He knew his wife was worrying about her company's project again. He took off his coat and stood at the door for a moment, clearly hearing the suppressed, soft sobs from within.

His heart felt as if it were being squeezed by an invisible hand. He knew he had to go in, had to hold her, had to say something to make her feel better. But he couldn't think of anything. Not a single word. After a long day's work, fatigue was like lead, poured into his limbs, his brain a waterlogged cotton ball, heavy and muddled.

A translucent interface, visible only to him, silently appeared in the corner of his vision.

【Emotional Interaction Module v3.5】

Option 1: Standard Comfort Package. (Includes: hug posture guidance, three generic comforting phrases, recommended frequency for back-patting). Compute Cost: 0.8 units.

Option 2: Deep Empathy Mode. (Real-time analysis of her vocal emotional fluctuations and micro-expressions, generating personalized empathetic responses, providing follow-up topic suggestions). Compute Cost: 25 units.

Option 3: Humorous Distraction. (Retrieves a heartwarming joke from the cloud knowledge base suitable for the current atmosphere, guaranteed to make her laugh). Compute Cost: 3 units.

Sean's gaze was fixed on the crimson number in the top-right corner of his vision: 【Family Cognitive Points Budget Remaining This Month: 27 units】.

This month, to conquer that damn project, he had already overdrawn a massive amount of logical reasoning and creative brainstorming credits. Next week, he had a make-or-break client proposal. It would be a tough battle, and without the aid of the "Negotiation Assist Pro Max," he stood no chance. The activation fee for that Pro package was exactly 25 units.

He stared at the number 25 next to the Deep Empathy Mode, his throat dry. He knew it was the only right choice at this moment. He could even imagine the flawless, perfect sentences Hermes would generate, words that would wrap around his wife like a warm cashmere coat, making her feel completely understood and deeply loved.

In the end, he reached out his finger and, in the air, gently tapped Option 1.

He walked into the bedroom and, following the virtual human silhouette projected in his vision by Hermes, gave his wife a standard hug. He smelled the fragrance of her shampoo and listened to the emotionless instruction transmitted by the AI through his bone-conduction headphones: "Repeat the following phrase: 'Darling, it's okay.'"

"Darling, it's okay," he heard his own voice, dry and stiff, like a piece of weathered wood.

As he held his wife, in a corner of his glasses, in an unused area of his vision, the data streams and charts for tomorrow's proposal began to preload in semi-transparent form. His brain was forced into a dual-threaded operation, one half feeling his wife's warmth, the other half rehearsing tomorrow's war.

His wife cried even harder in his arms. He held her, but his mind was on the 26.2 units of budget he had left. It should be enough for next week's proposal.

(II) The Transaction of Life

When Elara woke up from the sensory collection pod, the first thing she felt was hunger. A gnawing, stomach-cramping hunger, as if she hadn't eaten in three days. She sat up, stretched her stiff neck, and checked the time. Monday, 7:00 AM sharp.

She was full of energy, her mind as sharp as an overclocked processor. Her life felt like an edited film, jumping directly from the exhausted end of her workday on Friday evening to this ready-to-go dawn on Monday morning.

But the weekend wasn't a blank slate. On the contrary, a forty-eight-hour memory that didn't belong to her had been forcibly implanted into her mind. She vividly remembered being like a ghost tied to a chair, forced to review videos of car crashes, torrential rains, and hailstorms at a thousand times the normal speed. The tedious, repetitive labor, mixed with terror and nausea, was like an indelible scratch, covering the weekend memories of sunshine and sleeping in that she should have had.

A cold system notification on her wrist terminal explained it all:

【Thank you for contributing 48 hours of unconscious sensory data stream to Singularity AI, primarily for the annotation and training of the Llama-18-Autonomous-Driving-Extreme-Weather model. In return, 8,500 cognitive points have been deposited into your account. We wish you a pleasant workday.】

10:00 AM, the conference room. She used her points to activate the real-time assistance of the Pantheon model, available only to top-tier members. The world before her was instantly analyzed, quantified. She could see the emotional state analysis and focus predictions floating above each participant's head; she could access all of the company's databases in real-time, answering any question with a perfectly cited, comprehensive response in 0.1 seconds. When the CEO raised a tricky objection, Pantheon even simulated three optimal response strategies in her mind, clearly marking the risks and benefits of each.

For those two hours, she wasn't Elara. She was an omniscient, lightning-fast, charismatic god.

The presentation was a resounding success.

At noon, she sat alone in a fast-food restaurant downstairs, ordering a double-meat burger. The sun was bright outside, and a few college students were playing guitar and singing on the street corner. They were off-key, but their smiles were brilliant. Watching them, the implanted work memory, filled with negative emotions, suddenly surged up, making her feel a wave of physiological nausea.

She hadn't paid with time. She had exchanged a piece of her vibrant, clean life for a data-polluted, scarred past. She had fed a non-human god with herself, just to trade for a few moments of glory in the human world.

(III) The Folded Lifespan

When Kai returned to his hometown, he smelled the familiar scent of earth and grass. He hadn't been back in six months. He looked refreshed, but his eyes held a weary wisdom that didn't match his age.

At the dinner table, he explained his life over the past six months to his parents. He had participated in an elite program called "Time Folding." Every day, he only worked eight hours in the real world, but within those eight hours, through high-density information stimulation of his brain by an AI, he completed the equivalent of seventy-two hours of work output and skill training. In six months of physical time, he had compressed four and a half years of professional experience and life wisdom into his own life.

"Dad, Mom," he said proudly, "I've lived five years of life in six months. I've already completed the initial accumulation phase of my life."

His mother listened, but instead of the expected happiness, she was silent for a long time. Then she asked a question: "So... Kai, in these six months, how long has it been since you last looked at the stars at night?"

Kai was stunned.

In his folded time, there were no starry skies, no walks, no idle chats, no listening to birdsong. All low-information-density experiences were judged as redundant by the system and automatically filtered out. He had a longer effective lifespan, but the price was losing all the inefficient but beautiful moments that constitute the texture of life.

He looked back at the past six months and realized that while his life had been greatly extended, it had also become incredibly thin. Time was like ink constantly diluted with water; it seemed to fill the whole bottle, but the color was almost transparent.

He wanted to explain this new view of life to his parents, but he found he couldn't. The high-density information storms he had experienced were like a language from another dimension to them. He had lived longer than others, but he had also lived more lonely than anyone else.

(IV) The Talent of Sync Rate

Zack worked harder than anyone else on the project team.

He had practically memorized the three-hundred-page Hermes user manual, bought every online course on efficient human-AI collaboration, and even late at night, when others were asleep, he was still practicing how to give the most complex instructions to the AI with the most precise natural language. He firmly believed that diligence could make up for any lack of natural talent.

But all of it was a joke in front of Leo.

Leo was his colleague. They used the same model of Hermes and handled the same projects. But Leo never read the manual, never worked overtime. His interaction with the AI was visibly smooth and elegant, as if the AI were just an extension of his brain, an organ that required no conscious thought. He always smiled, listening and simultaneously completing several rounds of high-speed iteration with the AI in his mind.

This afternoon's brainstorming session was Zack's nightmare.

When the manager proposed a complex requirement, the AI's suggestions in his mind were like a piece of laggy code that needed to be recompiled. He had to struggle to understand and integrate them just to barely keep up. But Leo, as if telepathically linked with the AI, could always catch the most brilliant ideas from the information stream and express them in a completely natural way.

When the meeting ended, Zack's face was pale from his meager contributions. Leo walked over, patted his shoulder sincerely, and said, "Bro, you're just too tense, thinking too much. Just relax, treat it like your own intuition."

At that moment, Zack felt a chill more profound than failure. He finally understood that the gap between him and Leo wasn't about effort or skill, but an innate physiological trait called "AI Sync Rate." He was like a colorblind person who, no matter how hard he studied color theory, could never truly see a rainbow.

"Diligence can make up for a lack of talent." The creed he had been taught since childhood became a cold, cruel joke at that moment.

Epilogue

What happens when humanity's most coveted, non-transferable intellectual charm suddenly becomes tradable?

These four stories are four possible answers. Together, they paint a picture of a profound absurdity: human civilization spent millennia elevating concepts like wisdom, character, and insight to a pedestal, viewing them as the pinnacle of personal achievement. Now, technology, with an efficiency we cannot refuse, has brought them all crashing back down to earth, turning them into budgetable commodities, exchangeable consumables, insurmountable natural talents, and quantifiable KPIs. Once, the diplomat was our entire imagination of a gifted human: a light that couldn't be faked, an aura that couldn't be taught. But now, that light can be bought, and that aura can be pre-trained.

You might think this is all distant science fiction.

But think about this: just recently, the top AI has already outperformed human gold medalists in the International Mathematical Olympiad. Yes, the cost of calling it is still extremely high, and its processing speed isn't fast enough yet. But we all forget that technological progress is exponential. The ghost of Moore's Law still haunts the data centers. Just like the AI assistant in your phone, which could only report the weather two years ago, can now order takeout, write copy, and discuss your emotional problems. The expensive model that costs thousands of dollars to run today is the prototype of the "Negotiation Assist Pro Max" that Sean had to scrimp and save for; the god-level performance that requires immense computing power today is version 0.1 of the Pantheon model that Elara activated.

Wisdom, the oldest and most revered pursuit in human civilization, may soon no longer be just an inner quality, but an external resource that can be accessed, optimized, and managed. It's no longer the achievement of climbing a mountain, but more like a cable car that can be laid at our feet at any time.

This will bring not just changes to individual destinies, but a complete, society-sweeping upheaval.

When the essence of education is no longer to impart knowledge but to train AI sync rate, what will our schools become? When the success of marriages and social interactions depends on the emotional intelligence package you purchase, how much trust will be left between people? When a nation's competitiveness is directly determined by the version number of the top-tier AI model it controls, how will the new world order be arranged?

This may not be a distant speculation, but the new reality for all of us, with the curtain about to rise.

遥遥领先和Magnificence in Motion：也谈尊界和迈巴赫

2025-05-31T15:00:00-07:00

最近华为深度参与的尊界S800的宣传很火。直接对标迈巴赫，百万级别的售价和眼花缭乱的新技术，着实吸引了不少眼球。发布会上不断刷新的参数，"遥遥领先"的演示，从号称能踏水无痕的智能悬挂，到可以投射出各种图案的智慧大灯，再到那个名字听起来就充满未来感的鸿蒙多模态脑波调频系统，像是个黑科技发布会，让人目不暇接。

这种发布会，对在科技公司工作的我，甚至莫名勾起了一种熟悉感（笑）。这整体特别像我们给领导汇报科研成果的展示会，每个组上来汇报一下今年做了什么厉害东西。所以我瞎猜了一下这个车是怎么造出来的：

首先，定下一个宏伟目标——我们要造一台能和迈巴赫掰手腕的百万级豪车，让市场和用户都认可我们的高端定位。目标有了，接下来就是执行。怎么才能让大家觉得你够格呢？最直接的办法，可能就是拿来一张迈巴赫的功能清单，然后一项一项地去对标，不仅要做到人有我有，还要争取人有我优。比如迈巴赫强调悬挂的舒适滤震，那我就做一个更夸张的演示来证明我的悬挂更牛。迈巴赫有氛围灯，那我就不仅颜色更多，还给你加上音乐联动，再冠以一个听起来科技含量爆表的名字。甚至在外观上，那些标志性的设计元素，比如大尺寸轮毂和双拼色车身，也直接借鉴过来，力求在视觉上快速建立起这是同一级别的联想。再加上一个相对更有竞争力的价格标签，以及民族品牌的情感加分。齐活收工！

但非常有意思的的地方就在，这种清单式超越的打法看起来好像很合理，但发布会开完总觉得特别拧巴。整个发布会也不能说土味，因为确实有很多很厉害的技术，但又总觉得跟尊贵和奢侈不沾边。每个技术细节确实都执行得不错，但整体目标就是微妙地打偏了。我仔细想了一下，尤其是跟迈巴赫自己的宣传策略比了一下，感觉有两个原因。

第一点，感觉像是整个项目里，少了一位真正懂奢侈品市场和品牌叙事的总导演或者bar raiser。话语权似乎没有集中在一个能够统筹整体品牌调性的人手里，反而分散在各个技术组手里。结果就是，整个尊界S800的发布会，看起来不像是一个奢侈品品牌的优雅登场，更像是一家科技公司的年度科技成果汇报展。奢侈品的魅力，很多时候不在于功能的堆砌，而在于一种恰到好处的克制和恰如其分的表达。它需要一种少即是多的智慧，知道在什么时候应该把技术隐藏在体验之后，而不是让技术本身成为主角。这一点完全没有放进S800的宣传策略里面。

第二点，可能也和第一点相关，就是各个技术部门在宣传自己的成果时，用力又过猛了。每个团队都希望自己负责的模块能成为亮点，于是我们看到了各种听起来极度复杂和前沿的系统命名，比如前面提到的"鸿蒙多模态脑波调频系统"。这名字听起来确实厉害，但对于一个追求放松和尊贵体验的后排乘客来说，会不会觉得有点用力过猛？本来一个温馨舒适的氛围营造功能，被包装成了一个需要用户去理解和学习的高科技系统。这颇有点像是年终各个业务部门卯足了劲，努力向老板证明自己的KPI超额完成，每一个都想把自己的功劳簿写得满满当当，结果反而显得整体不够从容，甚至有点土味科技感。火力是猛，但有点散，没能聚焦到一个统一的品牌感受上。

这时候，如果回头看看被对标的迈巴赫是怎么做的，或许更能理解这种差异。你会发现，迈巴赫的市场宣传很少会去刻意强调某项技术参数有多牛。它更多的是在营造一种整体的体验上。比如，迈巴赫的广告里，你可能听不到一句关于技术参数的介绍。镜头语言往往是舒缓而克制的：一位穿着剪裁得体西装的男士，从容地从私人飞机上走下，而后缓缓坐入迈巴赫的后排，车门轻柔地关闭，柔和的光线洒在被顶级皮革包裹的座椅和内饰上，营造出一种静谧而专属的氛围。整个广告强调的是拥有迈巴赫意味着什么，伴随着怎样的身份，权利，生活方式，而不是迈巴赫能做什么。它的品牌叙事，始终围绕着"人"，围绕着乘坐者的感受。这么一对比，就能发现二者宣传策略的鲜明不同。

那么，尊界S800这种打法，未来会怎么样呢？我觉得有两种可能。

一种可能是，中国的豪华车消费者，或者说一部分新兴的豪华车消费者，他们就吃这一套。他们可能对传统奢侈品的品牌溢价不那么感冒，反而更看重实实在在的技术领先和功能丰富度。他们觉得看得见摸得着的遥遥领先，比那些虚无缥缈的品牌故事更有说服力。如果是这样，那尊界S800的策略可以说是精准地把握住了这部分用户的需求，开创了一种科技参数定义豪华的新路径。

另一种可能是，这只是品牌成长过程中的一个阶段。毕竟，华为或者说尊界，在百万级豪华车这个领域还是新兵。先通过技术上的秀肌肉来快速建立市场认知和产品力标签，等站稳脚跟后，再慢慢学习和沉淀如何讲述更成熟、更内敛的品牌故事，如何营造那种此时无声胜有声的豪华氛围。就像一个武林高手，初出茅庐时可能招招刚猛，追求极致的杀伤力；而真正成熟之后，则可能返璞归真，于无形中制胜。

这两种可能性都存在，也未必奢侈品就一定要讲故事。但无论如何，这种对比观察本身就很有意思。它启发我们思考，到底什么是豪华？是技术，还是体验？是参数，还是品牌故事？也许这些答案都是对的，只是针对的是老钱和新兴的科技富豪不同的客户群而已。

"Far Ahead" vs. "Magnificence in Motion": A Discussion on Zunjie S800 and Maybach

2025-05-31T14:00:00-07:00

The Zunjie S800, a vehicle with deep involvement from Huawei, has recently generated significant buzz with its marketing. Directly benchmarked against Maybach, its million-yuan price tag and dazzling array of new technologies have certainly captured attention. The launch event was a whirlwind of constantly updated specs and "far ahead" demonstrations – from an intelligent suspension system claiming to glide over water without a ripple, to smart headlights capable of projecting various patterns, and even the futuristic-sounding HarmonyOS multimodal brainwave modulation system. It felt like a showcase of cutting-edge "black technology," leaving a lot to take in.

For someone like me, working in a tech company, this kind of launch event even evoked a strange sense of familiarity (laughs). The whole thing felt remarkably similar to our presentations showcasing research achievements to management, where each team comes up to report on the impressive things they've accomplished that year. So, I ventured a guess as to how this car was conceived:

First, a grand goal was set: to build a million-yuan luxury car capable of competing head-to-head with Maybach, convincing both the market and users of its high-end positioning. With the objective clear, execution followed. How do you convince everyone you're up to par? The most straightforward approach was likely to take Maybach's feature list and go through it item by item, aiming not just for feature parity ("we have what they have") but superiority ("we have it better"). For instance, if Maybach emphasizes the comfort and vibration filtering of its suspension, Zunjie would stage an even more exaggerated demonstration to prove its suspension is superior. If Maybach has ambient lighting, Zunjie would offer more colors, add music synchronization, and give it an incredibly tech-heavy name. Even aesthetically, iconic design elements like large alloy wheels and two-tone paintwork were directly adopted, striving to quickly create a visual association of being in the same league. Add a relatively more competitive price tag and the emotional appeal of a national brand, and voilà, job done!

But here's where it gets interesting: this "checklist-driven one-upmanship" strategy seems logical on the surface, yet the launch event left a rather awkward impression. You couldn't call the event "tacky," as there were genuinely impressive technologies showcased, but it just didn't feel connected to prestige or luxury. Each technical detail was well-executed, but the overall objective seemed subtly off-target. After some thought, especially when comparing it to Maybach's own promotional materials, I believe there are two reasons for this.

Firstly, it felt as if the entire project lacked a true director or "bar raiser" who deeply understands the luxury market and brand storytelling. Authority didn't seem to rest with someone capable of orchestrating the overall brand tone; instead, it was dispersed among various technical teams. Consequently, the Zunjie S800 launch event resembled less the elegant debut of a luxury brand and more an annual tech showcase by a technology company. The allure of luxury often lies not in a profusion of features, but in a well-judged restraint and an apt form of expression. It requires the wisdom of "less is more," knowing when to let technology recede behind the experience, rather than making technology the star. This crucial aspect was entirely absent from the S800's promotional strategy.

Secondly, and perhaps related to the first point, the individual technical departments seemed to have too much say in promoting their own achievements. Each team wanted its module to be a highlight, leading to a barrage of extremely complex and futuristic-sounding system names, like the aforementioned "HarmonyOS multimodal brainwave modulation system." While the name certainly sounds impressive, wouldn't a rear passenger seeking relaxation and a premium experience find it a bit overwhelming? A feature designed to create a warm, comfortable ambiance was packaged as a high-tech system requiring user understanding and learning. This is rather like year-end internal presentations where various business units go all out to prove to the boss they've overachieved on their KPIs, each trying to make their list of accomplishments as long as possible. The result is an overall impression that lacks composure, even bordering on a "tacky tech" feel. The firepower was intense but scattered, failing to converge on a unified brand perception.

This is where looking at how Maybach, the benchmarked competitor, approaches things might offer more clarity on this difference. You'll notice Maybach's marketing rarely goes out of its way to emphasize how impressive a specific technical parameter is. Instead, it focuses more on cultivating an overall experience. For example, in a Maybach commercial, you might not hear a single mention of technical specifications. The camera work is often slow-paced and restrained: a gentleman in a well-tailored suit calmly disembarks from a private jet, then leisurely settles into the rear seat of the Maybach. The door closes softly, and gentle light bathes the top-grade leather seats and interior, creating an atmosphere of serene exclusivity. The entire commercial emphasizes what owning a Maybach signifies – the accompanying status, power, and lifestyle – rather than what the Maybach can do. Its brand narrative consistently revolves around people, around the passenger's experience. This comparison starkly highlights the difference in their promotional strategies.

So, what does the future hold for Zunjie S800's approach? I see two possibilities.

One possibility is that Chinese luxury car consumers, or at least a segment of new-money luxury buyers, will actually embrace this approach. They might be less concerned with the brand premium of traditional luxury goods and instead prioritize tangible technological superiority and feature richness. For them, "far ahead" technology that they can see and touch is more convincing than ethereal brand stories. If this is the case, then Zunjie S800's strategy has accurately captured the demands of this user segment, pioneering a new path where technological parameters define luxury.

Another possibility is that this is merely a phase in the brand's development. After all, Huawei, or rather Zunjie, is still a newcomer in the million-yuan luxury car segment. They might first flex their technological muscles to quickly establish market recognition and a label of product strength. Once they have a firm footing, they can gradually learn and cultivate how to tell more mature, understated brand stories and create that "silent eloquence" of luxury. It's like a martial arts master: when first starting out, their moves might be aggressive, aiming for maximum impact; but with true maturity, they might return to simplicity, achieving victory effortlessly.

Both possibilities exist, and it's not a given that luxury must always rely on storytelling. Regardless, this comparative observation is fascinating in itself. It prompts us to ponder: what truly defines luxury? Is it technology or experience? Specifications or brand narrative? Perhaps all these answers are valid, simply catering to different clientele – the old money versus the new tech-savvy wealthy.

AI，水培，吹泡泡和咖啡

2025-05-22T17:30:00-07:00

我对西雅图的水质向来印象不错，普遍的说法是这里水质偏软，很适合冲煮咖啡。所以日常生活中，我基本是水龙头的水接出来就用，最多用家里那个Berkey滤水壶滤一下。总之，在水这件事情上，我过去一直没太深究过，觉得差不多就行。直到最近，因为在水培和给女儿做泡泡水这些生活琐事上遇到了一些小挑战，加上像o3这种Agentic AI的日益普及和强大，我开始借助AI对水这个东西的质量进行了些探索。结果，这一番折腾下来，不仅很多过去的认知被颠覆，也让我对AI如何改变我们的学习和探索方式，有了全新的体会。

水培白菜的发芽速度

最初关注水质，是源于水培。之前水培白菜，发芽阶段小苗长势总是有些缓慢，叶片颜色也略微偏黄。我本来就擅长折腾，对水培有一些经验，当时已经购入了TDS笔和pH测试笔。初步测量发现自来水pH确实有些偏高，于是我尝试换用纯净水将pH调至中性，但遗憾的是，长势并没有得到根本性的改善。

面对这个困境，直到最近像o3这种Agentic AI越来越好用，我开始向AI求助，描述了我的问题和已有的测量数据（比如pH已经调整过但生长依然不佳）。AI很快就指出了我可能忽略的关键因素：营养液本身的缓冲能力（KH，也就是碳酸盐硬度/碱度）和总硬度（GH）。它解释了这些指标如何影响pH的稳定性和营养元素的有效性，并建议我测量和理解营养液的这两个参数。甚至直接给出了测量套件的品牌型号，给出了购买链接和价格（10美元左右）。

在AI的指导和放毒下，我很快购买了滴定套件，测量了水培溶液的KH和GH，发现它的KH大约是27 ppm，而GH则高达770 ppm。AI进一步解释了过高的GH可能导致养分吸收失衡或产生拮抗作用，以及过低的KH可能导致营养液pH值容易剧烈波动。在这个基础上，我学习了使用蒸馏水做基底，更科学地精确配比营养液，并主动调节pH和KH值，以达到更适合植物生长的平衡。

在调整了营养液成分以后，效果明显。同样是白菜种子，在使用AI建议的方法调整水质后，小苗出土后的生长速度明显加快，叶片也更加浓绿。这时我才意识到，以往认为的发芽就该那么慢，很可能受到了水质的限制。这个发现，让我对水质与植物生长之间关系的理解深入了一层，也初次体验到AI在解决水质问题上的强大助力。

泡泡水的狂暴升级

水培实验的积极反馈，进一步激发了我对水质的兴趣。那段时间，女儿对泡泡枪非常着迷。我之前也参照网上的方法，用洗洁精兑自来水调配泡泡液，虽然也能产生泡泡，女儿也玩得开心，但我总觉得效果不过如此。只是一直也没往心里去。

从水培中了解到硬水中的钙镁离子的影响后，我联想到这个可能也会影响泡泡水（表面活性剂的效能）。我们家自来水的GH值虽然不高（36ppm），但也并非为零。于是我把这个想法和提升泡泡效果的需求告诉了AI。AI不仅确认了我的猜想，还迅速帮我调研了更科学的泡泡水配方。一开始给的是基于瓜尔胶，玉米淀粉的家庭配方。在我“能再给力一点么老师”的要求下，它综合调研了几篇论文（比如Pasquet, M., Wallon, L., Fusier, PY. et al. An optimized recipe for making giant bubbles. Eur. Phys. J. E 45, 101 (2022). https://doi.org/10.1140/epje/s10189-022-00255-6），然后给出了一个非常变态的配方，用甘油，椰油酰胺丙基甜菜碱，羧甲基纤维素配了一个版本。

我花了20美元巨资购入原料以后用蒸馏水调配，整个人受到了惊吓。这个新版本的泡泡水，出来的泡泡不仅更多，而且很难破。综合出来泡泡的数量在感官上至少是以前的两三倍。用同样的泡泡枪很容易实现一阳台满满都是彩色泡泡的梦幻感觉。真是没想到，即使是简单的玩具，（在AI的指导下）对细节的关注和科学方法的应用也能带来截然不同的体验。

意式咖啡的用水考量

谈到咖啡，西雅图水质优良的印象更为普遍。我自己也长期使用本地自来水冲煮意式咖啡，风味蛮好，机器也没有什么结垢问题，因此在这方面一直比较省心。

但随着对水质理解的加深，我开始关注SCA精品咖啡协会推荐的咖啡用水标准。使用滴定剂测量后我发现，本地自来水的KH为36 ppm，GH为54 ppm。这两个数值与SCA的推荐范围相比，KH略低，GH则刚达到推荐范围的下限。我也不知道这对口味到底会有什么影响，所以向AI咨询了不同的调整方案（比如添加特定矿物质、混合不同比例的纯净水等）。AI迅速给出了几种方案，并且从风味影响和设备维护（这一点我忽略了）分析了各自的优缺点。

我先测了一下手头的矿泉水，发现 KH是54 ppm、GH是90 ppm，离SCA推荐还是有一定距离，所以就买了蒸馏水和矿物质包，把冲煮用水的KH调至约54 ppm，GH调至约143 ppm，然后进行萃取。从个人感官体验来看，调整水质后的意式咖啡，在风味的平衡感、甜度和醇厚度方面似乎有所提升，油脂也显得更为丰富。当然，这属于主观评价，由于我只有一个咖啡机，也缺乏双盲实验的严谨性。

但这个过程让我体会到，即使是大家普遍认为优质的水源，也未必是针对特定应用场景如精品咖啡冲煮的完美选择。在AI的辅助下，我可以更系统地权衡风味追求与设备维护等实际因素。

一些思考：好奇心、量化、跨界学习，以及AI

回顾这几次与水打交道的经历，感触颇深。最初，无论是对白菜的生长习性、泡泡水的常规效果，还是咖啡用水的普遍认知，我都处在一种相对默认或满足于现状的状态。驱动我进行探索的，是那份对为什么和能不能更好的好奇。而将这种好奇转化为实际行动和有效认知的，则是测量、对比以及AI的强大支持。通过简单的工具和方法，将模糊的感知转化为具体的数据，使得改进的方向和效果变得清晰可见。

更有价值的是，这些看似独立的探索，其背后的知识和经验是可以相互迁移和启发的。从水培中，我积累了关于KH对pH缓冲作用的理解，为我调配咖啡用水提供了思路；而对硬水会影响表面活性剂效能的认知，则直接改进了泡泡水的配方。这种跨领域的学习和应用，让知识产生了复利效应。

回头想想，我之所以可能长期忽略了水质这类因素，部分原因或许在于它缺乏一种即时反馈机制。与水温高低、咖啡的酸甜苦咸这种可以立刻感知到的变量不同，水的KH、GH值或者pH值的细微变化，其影响往往是以一种更缓慢、更间接的方式显现出来——比如植物三天后的叶片颜色，几个月后热水壶内壁的水垢，或者是咖啡风味中那些难以准确描述的细微差异。当一个变量的影响不是立竿见影时，我们似乎就更容易将其归为背景条件或者玄学，而不是一个可以主动测量和控制的参数。而选取一个中间的，立刻见效的变量进行测量和跟踪，则可以打破这个窘境，方便我们对复杂系统的认知和调试。

而AI在这个过程中的作用，则非常有意思。以往，要深入了解这些相对专业的知识，并应用到具体的日常场景，往往需要花费大量时间搜索文献、阅读资料、筛选信息，再进行抽象和内化。门槛相对较高，探索的摩擦也很大——中间有无数小困难或者distraction会逐渐消磨我的耐心，意志，直到最终放弃。但在AI的帮助下，整个过程变得异常高效顺滑。我只需要花一分钟的时间，通过语音输入描述我的问题和场景，AI就能在后台完成信息的调研、整合和个性化应用，甚至提供具体的购买链接和价格。比如如果不是它直接在回答里提到KH/GH滴定套装只要10美元，我可能就懒得弄了。叶子黄点就黄点吧。但它一个回答把原理，改进方法，下一步怎么做讲得清清楚楚，购买链接都送上来了，还只要10块钱。这个摩擦就变得特别低，我自然而然就会向求知的方向再走一小步。

所以，AI或许并不直接创造知识，但它将已有的知识以极低的摩擦精准匹配到个体需求上的效率，是前所未有的。它不必全知全能，却足以帮助我们快速定位问题、启动验证，并高效地完成每一次生活中的小探索。

因此，这次围绕水质的系列小实验，带给我的不仅仅是生长更快的白菜、效果更好的泡泡水和风味可能有所提升的咖啡，更重要的是一种在AI时代下全新的学习和解决问题的方式：保持好奇，勇于提问，借助AI的强大能力，我们可以更轻松、更深入地理解和改善我们身边的世界。这种由好奇心驱动，以实践和数据为基础，并由AI高效赋能的探索过程，本身就充满了乐趣和无限可能。

AI, Hydroponics, Bubbles, and Coffee

2025-05-22T17:00:00-07:00

I'd always thought Seattle's water was pretty good. The general consensus is that it's on the softer side, ideal for brewing coffee. So, for everyday use, I typically just used water straight from the tap, maybe running it through our Berkey filter at most. Honestly, I never gave water quality much thought beyond "good enough." That changed recently when a few minor challenges popped up with my hydroponics setup and making bubble solution for my daughter. With Agentic AIs like o3 becoming more common and capable, I decided to enlist AI's help to investigate water quality. This little journey not only upended many of my old beliefs but also gave me a fresh perspective on how AI can transform the way we learn and explore.

Sprout Speed of Hydroponic Bok Choy

My journey into water quality started with hydroponics. I'd noticed that my hydroponic bok choy seedlings were slow to sprout and their leaves looked a bit yellowish. I enjoy experimenting and had some hydroponics experience, so I already owned TDS and pH meters. My initial tests showed the tap water's pH was indeed a bit high. I tried switching to purified water and neutralizing the pH, but disappointingly, their growth didn't really improve.

Facing this puzzle, and with Agentic AIs like o3 becoming so much better, I decided to ask for AI's help. I described the problem and my existing measurements (like the poor growth despite pH adjustments). The AI quickly highlighted key factors I'd likely missed: the nutrient solution's buffering capacity (KH – carbonate hardness/alkalinity) and its general hardness (GH). It explained how these metrics influence pH stability and nutrient availability, and recommended I measure these in my solution. It even suggested specific testing kit brands and models, complete with purchase links and prices (around $10).

Prompted by the AI's thorough advice, I quickly bought a titration kit. My measurements revealed a KH of about 27 ppm and a surprisingly high GH of 770 ppm. The AI elaborated that very high GH could cause nutrient imbalances or antagonisms, while low KH could lead to wild pH swings in the nutrient solution. Armed with this knowledge, I learned to use distilled water as a base, mix my nutrient solutions more scientifically, and actively manage pH and KH levels for optimal plant growth.

The changes to the nutrient solution made a clear difference. Using the same bok choy seeds, the seedlings sprouted faster and had richer green leaves after I adjusted the water quality based on the AI's suggestions. It dawned on me then that the slow germination I'd accepted as normal was probably due to poor water quality. This realization deepened my understanding of how water quality affects plant growth and was my first real experience of AI's power in tackling these kinds of issues.

The Supercharged Bubble Solution

The success with hydroponics fueled my curiosity about water quality even more. Around that time, my daughter was completely obsessed with her bubble gun. I'd tried making bubble solution before using online recipes—basically dish soap and tap water. It made bubbles, and she had fun, but I always felt the results were just so-so. I hadn't really thought much more about it.

Recalling what I learned from hydroponics about how calcium and magnesium ions in hard water can affect things, I wondered if this also impacted bubble solution (specifically, surfactant performance). Our tap water's GH value wasn't terribly high (36 ppm), but it wasn't zero. I posed this thought, along with my goal of creating better bubbles, to the AI. Not only did the AI confirm my suspicion, but it also quickly researched more scientific bubble solution recipes. At first, it suggested a homemade recipe with guar gum and cornstarch. When I playfully asked for something "more heavy-duty, please!", it reviewed several research papers (like Pasquet, M., et al. "An optimized recipe for making giant bubbles." Eur. Phys. J. E 45, 101 (2022). https://doi.org/10.1140/epje/s10189-022-00255-6) and concocted a rather "extreme" recipe using glycerin, cocamidopropyl betaine, and carboxymethyl cellulose.

After spending a hefty $20 on the ingredients and mixing them with distilled water, I was absolutely astonished. This new solution didn't just create more bubbles; they were also incredibly durable. It felt like there were at least two or three times as many bubbles as before. Using the same bubble gun, I could easily fill our entire balcony with a dreamy shower of colorful bubbles. It was amazing to see how, even with a simple toy, paying attention to the details and applying a bit of science (guided by AI) could make such a world of difference.

Water Wisdom for Espresso

Seattle's reputation for excellent coffee water is even more common. I'd been using local tap water for my espresso for ages. The coffee tasted fine, and my machine didn't have any scaling problems, so I'd never given it a second thought.

But as I learned more about water chemistry, I became curious about the Specialty Coffee Association (SCA) standards for coffee brewing water. My titration tests showed our local tap water had a KH of 36 ppm and a GH of 54 ppm. Compared to the SCA's ideal ranges, the KH was a tad low, and the GH was just at the bottom end of the recommended spectrum. Unsure how this might be affecting the taste, I asked the AI for adjustment strategies (like adding specific minerals or blending with purified water). The AI promptly offered several solutions, detailing the pros and cons of each regarding flavor and, importantly, equipment maintenance—something I hadn't considered.

I first tested some bottled mineral water I had, which registered a KH of 54 ppm and a GH of 90 ppm – still not quite hitting the SCA targets. So, I purchased distilled water and mineral packets, adjusting my brewing water to approximately 54 ppm KH and 143 ppm GH. Then I pulled some shots. To my palate, the espresso made with this customized water seemed to have a better balance, enhanced sweetness and body, and a richer crema. Granted, this was purely subjective; with only one coffee machine, a proper blind test wasn't feasible.

This experiment taught me that even water generally considered excellent might not be optimal for specific uses like brewing specialty coffee. With AI's assistance, I could more systematically balance the quest for perfect flavor with practicalities like machine care.

Reflections: Curiosity, Quantification, Cross-Disciplinary Learning, and AI

Looking back on these water-related adventures, I've learned a lot. Initially, whether it was how bok choy typically grew, the usual quality of bubble solution, or common beliefs about coffee water, I was pretty much just accepting the status quo. My curiosity – that constant "why?" and "could this be better?" – is what pushed me to explore. And what turned that curiosity into real action and understanding was a combination of measurement, comparison, and the incredible support of AI. Simple tools and methods transformed fuzzy feelings into hard data, clearly showing the way to improvements and their effects.

What's even more valuable is how insights from one seemingly separate exploration could inform another. My understanding of KH's role in pH buffering from hydroponics helped me when I tackled coffee water. Realizing how hard water impacts surfactant performance led directly to a better bubble solution. This kind of cross-disciplinary learning creates a sort of compound interest for knowledge.

Thinking about it, I probably overlooked factors like water quality for so long because there's no immediate feedback loop. Unlike water temperature or the obvious sour, sweet, or bitter notes in coffee, the effects of subtle changes in water's KH, GH, or pH often show up slowly and indirectly – a plant's leaf color after a few days, limescale buildup in a kettle over months, or those elusive nuances in coffee flavor. When a variable's impact isn't instant, we're more likely to dismiss it as just part of the background, or even "voodoo," rather than something we can actively measure and manage. Finding an intermediate variable that does offer quick feedback for measurement and tracking can help us break through this and get a better handle on complex systems.

AI's role in all this was particularly interesting. In the past, diving deep into specialized topics and applying that knowledge to everyday situations meant a huge time investment: searching academic papers, reading articles, sifting through information, and then trying to synthesize it all. The barrier to entry was high, and the whole process was full of friction – countless small hurdles or distractions would chip away at my patience and willpower, often leading me to just give up. With AI, however, the entire journey became remarkably efficient and smooth. I could spend just a minute describing my problem and context using voice input, and the AI would handle the research, information synthesis, and personalized application behind the scenes, even providing direct purchase links and prices. For instance, if it hadn't mentioned that a KH/GH titration kit was only about $10, I probably would have just lived with yellowish leaves. But its response laid out the principles, improvement methods, and next steps so clearly, complete with a cheap purchase link, that the barrier to trying was incredibly low. Naturally, I took that next small step on the path of discovery.

So, while AI might not be creating new knowledge from scratch, its ability to match existing knowledge to individual needs with such low friction is a game-changer. It doesn't have to know everything, but it's more than capable of helping us quickly identify problems, start testing solutions, and effectively carry out those little explorations that enrich our daily lives.

Therefore, this series of little experiments with water quality gave me more than just faster-growing bok choy, super-powered bubble solution, and potentially more flavorful coffee. Far more importantly, it introduced me to a whole new way of learning and solving problems in this age of AI: stay curious, don't be afraid to ask questions, and harness the power of AI to understand and improve the world around us with greater ease and depth. This kind of exploration—fueled by curiosity, grounded in hands-on practice and data, and supercharged by AI—is, in itself, incredibly fun and brimming with endless possibilities.

冬天去阿拉斯加旅游需要知道的东西

2017-03-01T19:33:00-08:00

最近搞了场说走就走的旅游。周六听说下周二阿拉斯加极光爆发，查了一下月相和天气都非常完美，果断周六订机票，周日买衣服，周一定行程，周二就到了。在这个过程中学习了很多知识，也有很多心得。总结一下，以后如果有人要冬天去阿拉斯加看极光/旅游也算是一个入门贴。

关于穿衣

冬天阿拉斯加的气温可以到零下三四十摄氏度。穿衣一定要懂科学。简单地说，直接去REI跟服务员说你要去什么地方就好了（此处应有广告费）。REI的服务员大都是户外爱好者，非常专业，会教你很多东西。相比之下，北脸的服务员虽然也非常友好真诚，但专业性不足，差点踩了个坑。

具体地说，寒冷地带的穿衣要点有二。第一，躯干（core）和脚的温度要保证，这两个弄好了，中间裤子冷点都不是事儿。第二是layered，衣服要一层一层堆起来。一般衣服裤子要分成三层。最里面的叫base layer，主要作用不是保暖而是排汗。一般用的是快干的运动保暖内衣。中间的一层叫insulation layer，主要作用是固定空气来保暖。一般抓绒，羽绒，或者加拿大鹅之类的化纤都可以。最外面一层叫shell layer，主要是防雨防风的。有的滑雪服同时有外面两层的作用也可以。

关于鞋子，一定要买雪地靴，不要买一般的登山靴。二者的差别主要在于雪地靴有单独的隔热层，在雪里面长时间停留也不会冷。雪地靴一个重要的参数是多少克的隔离层（grams of insulation）。我买的是100g的，在-30度呆半个多小时就感觉冷了。但因为看极光一般旁边都会有个车或者小木屋暖身子，所以感觉已经够了。

关于极光

能不能看到极光主要由三个因素决定，太阳活动强度，天气，和月相。这些东西往往要到一周内才会看到比较可靠的预报，所以如果想一击必中的话，最好提早一周左右订机票，或者在那呆好几天天天晚上出门。

极光预报的原理是，第一太阳有一个自转周期是27天。所以如果在其他地方看到有活动的话，就可以大概算出来要多长时间转过来正对地球。第二是太阳风毕竟是实体粒子不是电磁波，从太阳表面爆发到太阳风轰击地球大气还是有几天的时间差的。这样就可以相对可靠的预言极光强度了。但仅仅有一个高极光指数也是不够的，要来个多云还看个毛。所以非常非常重要的一点是，事先查好天气。此外月相也非常重要，新月为佳。所以一般农历初一左右去是最好了，否则会对拍照会造成相当的影响，甚至刺激眼睛看不到极光。这里又牵涉到一个问题就是极光看起来到底有多强。其实极光非常非常暗淡，除了强活动，只有在没有光污染的地方才依稀可见。网上（包括本帖中）的照片全是用相机高ISO+长曝光拍出来的，和肉眼看到的完全不一样。所以这也是月光会影响极光观看的重要原因。

关于照相

极光的拍摄也是个技术活。但在我们说拍摄技巧之前，还有几个更重要的坑。

首先，在非常冷的情况下，锂电池的容量会缩减很多很多。尤其是大法等机身比较轻薄，保暖比较差的机身，经常满电的电池拍个几张就没电了。这种情况怎么办？换个佳能啦（大雾）。不是换相机啦。应该准备两块或者更多的电池，一块电池装在机身上，一块电池揣怀里（离身体比较近的口袋里，不是羽绒服口袋）抱窝一样焐着。电池没电了只是说明太冷了，把它换下来在怀里抱窝，然后把之前在怀里暖好的电池装上去。这样二者交替，往往能撑很长时间。如果都没电了，也可以吃点壮阳药提高体温（划掉）去车里暖暖。但去车里暖暖也是个技术活：

第二，从寒冷的室外进入暖湿的室内时，要先把相机装进一个空气不流通的口袋（比如相机包，或者保鲜袋），然后再拿进来。进入室内以后在整个相机变暖之前不要打开口袋。这是因为相机在室外一段时间以后，镜头的玻璃会变得非常冷。一旦带入温暖湿润的室内，就像冬天窗玻璃会起雾一样，镜头也会起雾。在镜头外侧起雾还好，要是镜头密封不好，在内侧起雾又没有及时发现烘干，发霉了就爽了。虽然发霉概率其实不大，但要中奖了得哭死。所以，去看极光之前最好先买几个保鲜袋。

第三，对于用光学取景器的相机来说，靠近相机取景调参的时候最好憋着气。否则呼出来的水汽会在取景器和液晶屏上面/内侧结冰，非常麻烦。更不要在对着镜头的时候不小心呼气，整个镜头上面都会全是霜。。别问我为什么知道得这么清楚。。

关于如何拍摄，其实蛮简单。三脚架，高ISO（800~2000），大光圈（开到顶），广角镜头，手动对焦到无穷远开拍。快门速度一般在2~30秒之间变化，取决于极光变幻的速度。有些相机可能要把降噪关掉，否则会处理很长时间。对焦有的镜头/相机是直接到无穷远就好，有的是无穷远还要往回收一点。具体可以拍一张星空，然后放大看里面的星星是不是足够锐利决定。

除了直接拍极光以外，还有一些好玩的小拍法。比如可以拍延时摄影。或者给人用手电筒加一两秒光然后关掉可以排出足够明亮的前景和震撼的极光背景。还可以用电筒玩light drawing。这些黑暗环境中常见的小技巧就不再赘述了。

关于自驾和跟团

冬天的阿拉斯加还有一个坑就是租车。据说（我没有查证过）租车公司懒得/不会把那么多车在冬天换成上面带钉子的雪胎，这样其实非常不安全。相比之下，当地的旅行团或者本地人都会换（下图实拍，注意上面跟足球鞋类似的钉子）。所以我个人选择了跟团。跟团的确蛮方便，从酒店到景点车接车送，去机场也有酒店的班车，所以交通上其实没花多少钱（只是旅行团本身的价格把我搞跪了）。

跟团还有另一个好处就是跟导游唠嗑往往可以学到很多东西。举个栗子，一般自驾去阿拉斯加输油管道就是看看哦好长啊，好粗啊，好大啊，拍个照片就走了。但我们跟的导游是个生物PhD，做了20年postdoc没找到教。。啊好了不黑了。导游是个生物PhD，在当地大学做科研，业余时间出来当导游介绍阿拉斯加的生态和环保知识。他介绍了关于输油管道的很多知识。这个管线纵贯整个阿拉斯加，长800英里，工程上非常先进。首先原油在里面是加热的，达到150华氏度。这是因为原油在（阿拉斯加）室温下的流动性非常差，几乎像固体一样。所以需要加热才能输送。但即使这样，油里面的蜡质也经常析出，堵塞管道。所以在管道里每隔一段就有昵称叫"pigs"的组件，一方面用超声和磁场传感器测量含蜡量和管道厚度，一方面用机械组件把析出的蜡刮出来，保证油能继续流动。油被加热还有另一个好处，就是保证管道温度的相对稳定。阿拉斯加夏天有极昼，阳光连续曝晒下的管道可达40摄氏度。冬天有极夜管道可达零下40度。这种温差下的热胀冷缩是很恐怖的。恒温的油就缓解了这些问题。但这样也引发了一个严重的问题是管道会经过很多永久冻土层，热管道会逐渐融化冻土，导致土地失去支撑力，使管道下沉，扭曲，甚至开裂（和我们建设青藏公路的问题类似）。为了避免这个问题，整个管道被架空，悬在地上，只有隔热的支撑柱插到土里。但这样还是有缺陷，因为夏天的时候支撑柱被晒热了，还是会融化冻土。所以工程师又在柱子里充上氨气，冬天是固体，夏天一到变成气体吸热，保证下层低温。支撑柱上也加了很多散热鳍片。听完了以后就觉得，我靠，原来还有这么多东西。这个感觉有点花钱买时间的意思，如果自己上wiki看，肯定也能知道。但如果有人到每个地方跟你介绍，就省去了很多查找资料的时间。

左中右分别是，管道全景，热胀冷缩固定靴和散热鳍片，以及移除蜡质的pigs。

另一个例子是我们的另一个导游也是学生物的（？？？）。他说阿拉斯加陆地上没有冷血动物，因为实在是太特码冷了，冬眠都顶不过。没有蛇，没有蜥蜴，没有任何爬行动物。唯一的例外是一种蛤。它在秋天的时候会在血液里面打很多葡萄糖降低冰点，同时把细胞缩小，给细胞间留出间隙，这样即使水变成冰体积增大也不会涨破细胞膜。所以这种蛤一到冬天就不是冬眠，而是完全冻上了，硬邦邦地好像十分生气。但其实这种情况下新陈代谢完全停止，寿命是无限的。

总的来说阿拉斯加还是蛮好玩的，只要掌握好在寒冷地区生存的一些小技巧（穿衣，拍照，开车），可以玩得非常顺畅。希望这个文可以帮到你们。

夏威夷茂宜岛游记分享

2016-11-29T10:55:00-08:00

最近去夏威夷茂宜岛玩了一圈，感觉学到不少有意思的东西，写出来分享一下。主要分为两个部分，一个是茂宜岛一些感觉有意思的景点，一个是一种以前不知道的低价度假的方式。

夏威夷主要就是几个岛。最著名的是火奴鲁鲁和珍珠港所在的欧胡岛。大岛也很有名因为上面有个活火山，可以看岩浆像瀑布一样流到海里的景象。总的来说我对火奴鲁鲁印象不好，感觉像是太平洋里的拉斯维加斯，人为的旅游气息太浓厚了。大岛的火山国家公园倒相当值得一看。而这次去的茂宜岛是一个偏自然风光的岛。

去夏威夷无非就是做几件事情，玩水（沙滩葛优躺，海上运动），看山（夏威夷本身是火山喷发形成的，可以看火山本身，看历史喷发遗迹，看火山活动），看景（热带雨林，流泉飞瀑），看人文（二战）。茂宜的人文历史主要偏夏威夷本地，卡美拉美拉国王统一夏威夷，政治宗教改革等等过程，没有珍珠港密苏里号那样广为人知，在此不表。但前三者在茂宜都有比较有意思的玩法。

看水。一般比较常见的活动是去浮潜（snorkeling），或者考个证以后去带个氧气瓶潜水（scuba diving），这样在珊瑚礁附近可以和很多海洋动物亲密接触。也有海洋皮划艇（sea kayaking）去旁边的小岛上看海豹海龟，独木舟（conoeing）等等玩法。但这一般都要求玩的人会游泳，至少不能不(lai)敢(da)下(yi)水(ma)，限制性比较大。这次去发现有个潜水艇项目，很适合带家人一起去玩，一方面它不需要考证不需要游泳，一方面可以一把撸到海面100英尺以下，比开放水域执照（open water）持有者建议的深度还要深不少。我们在海底还看到了鲨鱼。。瑟瑟发抖之余感慨还好没有自己潜下来。。

潜艇的外观（当时正在下潜，旁边那个船是在海面照应的船）

潜艇的操作间和客舱。其实空间很大，装了50个人左右。

在海底拍到的蝠鲼（stingray）:

以及海底的鲨鱼。

看山。茂宜有个哈喇叽里咕噜火山（好吧是蛤来啊咔啦火山），主要看点是高，视野好，云海，日出，植被变化，顶峰像火星表面。国家公园开车玩就太没创意了，这个有种有意思的玩法是租个自行车骑上去（划掉，疯了啊，3000多米一言不合就飙车要骑上去。。）好吧，其实是自行车公司开个车把你和自行车一起运上去，然后你从上面溜下来。据说06年是从顶峰往下骑，每个月都要出几起事故。后来公园怒了，规定只能从国家公园大门外开始骑，结果事故率骤降，侧面说明了国家公园内部道路维护有多差（划掉，其实是因为公园内部路太陡太险了）。体验了一把，连拍照带骑车，一个小时就速降了一个黄山的高度，带的矿泉水瓶到了山下都瘪得和老年妇女一样。人说上坡如吃翔，下坡如拉稀。来到茂宜岛，不妨尝试一下拉稀35公里的痛快感觉。

峰顶看到的云海：

骑车下坡时眼前的公路和海湾。

看景。茂宜的主要地形是三座大山压在全岛人民的头上（划掉）两座大山占据了全岛大部分面积。公路（包括知名的天堂之路）基本都是绕着山走，所以其实整个岛大多数面积车都是到不了的。这时候就要上飞机了。然鹅，我们傻逼地把直升机游览安排在最后一天，因为云层太低毛都看不见而被取消。所以，这里要注意的地方是，如果你想要安排直升机/飞机游览的话，最好安排在比较早的时候，这样即使因为天气被取消也可以重新安排到后面几天。如果像我们一样心疼钱的话不妨安排在最后一天，到时候被取消退款心里还暗爽。。
坑：首先声明，我觉得的坑可能其他人觉得不错，可能只是我没玩好。然后我觉得最大的坑就是什么天堂之路（Road to Hana），674个弯开的老子七荤八素，两边除了瀑布，雨林和大海毛都没有。也可能是其他国家公园已经看腻了，觉得相当一般。旅途中的景点比如伊甸植物园，黑沙滩等等感觉也都是坑，并不好玩。只是黑沙滩所在的州立公园海边的景色挺不错的，还有个blow hole（额。。潮吹洞？）还不错，潮水打过来的时候里面会吹出大风和海水，打围观吃瓜群众一脸。回去一头一墨镜都是盐粒。Hana也是个坑，查了yelp毛好吃的都没有，硬是撑着又原路开回去才吃的饭。潮吹洞的动图见此（7.7M）：

这次还有个收获是被酒店抓过去洗(chuan)脑(xiao)，知道了原来还有timeshare这种东西。大概地说就是夏威夷海滩边上一个两室一厅的房子实在是太贵了（千万人民币起），更关键的是即便有土豪买了一套其实大多数时间也用不上，还是得交给专业公司维护出租。所以有一些公司（比如喜达屋，万豪等等）就建了一个海边的度假村，里面有很多单元房。然后把一套单元房卖给52个人（对应一年52个星期，有产权），大家平均摊钱，轮流来用。没人用的时候就当酒店运营。于是就实现了人人有假度，人人有逼装的大同境界。

这个东西看上去很好，而且随着近年来的发展，变得更好。在互联网时代以前，谁在第几个星期用房间是定死的，但现在都可以通过网上预约统筹规划，先到先得了。还有比如像喜达屋这种连锁集团，在各种不同的地方都有这样的度假村。所以你买了个夏威夷的房子，还可以去其他地方比如科罗拉多度假。但是因为夏威夷的房价是科罗拉多的两倍，所以你可以在科罗拉多住两个星期这样。而且因为大家分摊成本，这个房子可以很便宜。比如一次性交人民币40万就可以有一套出门就是海滩的夏威夷公寓，还能免费换成全球各地的度假村。我就问你这个逼装的怎么样。

但是，经过调研，我发现这其实是个大坑。主要问题在于：

每年特码要交2000+美元的费用（包括物业费，房产税，房屋保险等等。这个在美国买房的同学比较熟悉）。这一下让收支相抵变得困难了很多。初略计算表明，如果你每年就硬着头皮订酒店，不考虑通货膨胀，要从第25~50年开始才会比买一个timeshare年年薅羊毛更吃亏（取决于具体的酒店淡旺季价格）。
脱手困难。我找了个timeshare二手房交易网站，那个哀鸿遍野。原价5万美元，4万美元的房子，现在全部特价七千五！全部七千五！感觉卖家都好绝望，宁愿亏本甩卖也要尽快脱手。所以虽然有产权，但看上去并不是一个能投资升值的东西。相反，考虑到维护费用，它是一个长得像投资品，但其实让你一直花钱的消费品。

所以，这个东西正确的打开方式似乎是。。去二手市场接盘。。如果你有小孩，而且享受年年去这种高档度假村薅羊毛，5~9年把二手的价格薅回来不成问题，后面就是净赚了。这个东西对我们暂时不需要的人的好处是，商家为了吸引你买或者参加洗脑大会，会给你超好的礼物。比如夏威夷酒店2~5折，参加洗脑大会再送5万点SPG积分啥的（转身拿去兑成国际头等舱机票等于三四千美元呢）。

总之感觉每次出去旅游没怎么玩，尽在那调研，计划和学习了。还是想要没有压力，静静抠腚（划掉，coding）的感觉，这样才比较放松。

Food Inc.

2016-10-16T09:00:00-07:00

今天看了一个纪录片叫Food Inc。主题是食品工业已被寡头控制，向上勾结立法执法部门，向下欺压工人农民。导致的后果是食品安全事故频发，大众不健康（肥胖等）。具体地说：

食品工业寡头游说立法部门限制监管。比如农业部无权关闭卫生检查反复不合格的工厂，FDA的检测数量从50年前到现在下降了10多倍。甚至立法限制消费者言论。比如某著名主持人因为在讨论疯牛病的脱口秀里说我可不会去吃汉堡，被起诉花了一百多万美元打官司勉强胜诉。又比如在科罗拉多州表达对某种食品的负面意见是重罪，罪名成立会坐牢。
伙同立法执法部门立法欺压工人。立法压低玉米收购价，来支撑多种农产品比如吃玉米的牛/猪/鸡。同时用低价玉米倾销墨西哥，导致一百五十万农民流离失所。接着招收大量墨西哥的undocumented worker（原文），通过流水线加工降低劳动力门槛，再用身份压力逼迫他们以极低的薪水工作。近年来对非法移民压力加大，于是食品寡头和执法部门达成协议，每天让他们抓几个人交差，但负责招聘的人和经理从来没有被逮捕。
利用专利法案和转基因技术欺压农民。孟山都的转基因种子很好，但农民不再能把种子留下来第二年种，必须年年向公司买种子，否则将被起诉面临巨额赔偿。类似的，养鸡场也只能向公司买鸡苗。这些公司达成垄断后不断涨价，同时逼迫农民购买新设备，否则终止合同。让农民不断向银行借钱，债台高筑。同时孟山都的政治控制力非常强，最高法院，白宫，国会山里都有它的高管或者前高管。

我觉得片子对食品工业寡头如何在三权分立的体系下欺男霸女（大雾）的模式讲得很清楚，虽然结尾提到了有机食品，但这其实是个政治片而不是科学片。作为一个科学的拥趸[备注]，对于片子里介绍的食品工业的进步还是很骄傲的，白羽鸡3周就能长到5斤重，全自动的屠宰生产线，金坷垃亩产三万八（大雾）。里面一个反派被采访的时候说，我们用更少的耕地，更低的价格，生产出来更多的肉，养活了更多的人，你有什么好黑的。我觉得很有道理啊。而且感觉有机这个概念有点反智，不用化肥不给植物吃饱，非要让植物饿着长，你这不虐待么。片子的最后提到希望有一天，大家能用便宜的价格买到营养均衡健康的食品。我想说这不就是soylent吗，人工配成的营养液，含有人体必须的所有营养元素。而且用转基因产品做的，所以很便宜。一天12美元跟天天吃麦当劳一个价，不用计划营养出门买菜烧菜洗碗。滋溜一瓶管饱，你值得拥有！

[备注] 我要感慨下这里趸(dun3)打不出来，在google打了个拥，然后自动补全第一个就是拥趸。然后我在bing里打了个拥，第一个是拥抱星星的月亮，第二个是拥抱太阳的月亮，什么JB玩意。

First solo!

2014-06-01T19:00:00-07:00

终于到了训练的25%处。。放单飞啦! 视频戳这里，自备梯子：youtube。

单飞的过程比之前想象的顺利很多，尤其是最后一次着陆很完美。突然领悟到教练说，Landing an airplane is just like your first sex with your girlfriend. you slip in a bit, if she doesn't slap you, then try a little more, a little more. If things don't work out, slip out and make corrections… 他说完这个话就下飞机了，然后我就顿悟了着陆水平暴涨。。就是单飞的时候空中突然比较繁忙，无线电声音模糊，飞行员讲话又快，我们这个公共频率还能听到附近机场的通信，妈蛋太挑战听力了，有些没听清楚老担心突然有某位大哥出现在我面前将我击落。。左顾右盼脖子都酸了。。

还有一些训练过程中的趣事：

May 31st

起飞不久掉了个头，跟跑道平行大概几百米的样子，教练突然把引擎关了，说咦引擎坏了，你告诉我怎么紧急迫降。我心里暗爽，靠还好老子早就有所准备，规则都背熟了。马上调整速度，然后找迫降场地。。咦不远处有个足球场，就那里了！然后跟教练说，好，你看，我们速度稳定下来了，就降那个球场吧！教练满脸黑线。。指着右边说。。你看那是啥。。我刚想说你傻逼啊，那不是我们刚起飞的跑道啊。。嗯？跑道。。跑道。。突然想起了那个喝水的乌鸦。。乌鸦去小溪边又叼了个石子，扔到了瓶子里，瓶子里的水终于快到了杯口，眼看就可以喝到水了！于是乌鸦又去了小溪边。。嗯？小溪。。小溪。。。。

然后还做了云中飞行的模拟训练。教练搞了个罩子把我的眼睛卡住，这样视线就只能看见仪表，看不见外面，从而模拟黑夜或者云中看不见地面的情况。要诀是千万不要相信自己的身体，只能根据仪表来飞行。然后教练又把我眼睛遮住，他来瞎JB飞把飞鸡搞到一个诡异的状态，什么左倾俯冲，或者一边超级爬升一边向右转啥的，然后让我来恢复。闭着眼睛的时候只能感觉一阵超重一阵失重吓尿了好么，还以为要挂了。然后睁开以后七扭八扭还好又恢复过来了。。中间有次还被骗了，尼玛超失重若干次以后觉得卧槽这次肯定傻逼了，转的这么猛，感觉飞鸡已经肚皮向上了。。睁眼发现嗯？你他妈在玩我？这不是正常飞行状态么。。果然不能相信身体啊。。

May 22nd

继上次眼睛太小把eye tracking搞挂以后，这次又来了个座位调到最靠前脚还是够不到方向舵。。。教练也无奈了。。比划了一下我的身高，然后摇摇头说以后你还是带个枕头来开吧。。。垫在腰那里这样脚就能够到了。。。所以人家带的公文包装的是超帅的飞行耳机，各种高大上的飞行图表，我的会塞个枕头么。。。

May 10th

今天才知道有个东西叫resident airport. 大概300多家人住在一起，紧靠着机场。家家都有机库或者停机坪，可以通到滑行道上去。当着陆以后教练指着旁边一个房子说这是我的房子那个是我的机库时，感觉浑身笼罩着光辉，逼格瞬间爆表了。

今天还第一次用了自动驾驶，我靠太神了！！自动转弯爬升降低维持高度导航警示附近的其他飞机啥的。就是油门要自己调一下，可能因为开的这个飞机没有装备自动油门。科技太发达了~~

May 3rd

今天去机场，教练说咦你看这个天气正好是法定能起飞的最低能见度，雷达图上还有一坨雨向我们移过来，我们上去绕机场几圈看看风头吧，要是雨不大我们就练练，雨下大了我们就撤。然后起飞检查折腾了20分钟终于起飞了。。妈蛋雨下的跟屎一样大，毛都看不见好么。好不容易爬升准备开始绕个圈子，塔台开始喊，那谁谁，雨太他妈大了我们根本看不见你，而且跑道要关闭了，你们收了神通（大雾），阿不，快点降落吧擦。我腿都软了，全靠教练看着仪表飞回来。。着陆的时候两眼一抓瞎，我在那死拉杆。教练叫：拉你妹，我在往前推呢救你一命，不要拱我！=。= 然后。。所以我们绕了机场一圈，飞了5分钟回来了。。还真是省钱啊。。与此同时，还有个漆有波音标记的小飞机载着四个人起飞向风暴中心去了。。着陆以后我们和其他同学进行了深入的交流，对这个小飞机一不怕痛二不怕死的精神表示了由衷的钦佩。（今天吓尿了，而且第一次和塔台通话无比紧张还被嘲讽了。。写状态的时候手还在抖。。）