说完「代码自己写」,我决定真干了
AI 随想第十篇说代码学会了自我进化。那是观察。这篇是动手。
AI 随想第十篇说代码学会了自我进化。那是观察。这篇是动手。
In Part 10 of Agentic AI Thoughts, I wrote that code had learned to evolve itself. That was the observation. This is the implementation.
三条需求曲线、一条成本下降线,以及为什么算力是新石油
Three demand curves, one deflation trend, and why compute is the new oil
Mio 有 25 个角色,每个都有深度人格——但所有交互都是一对一聊天。这是一种浪费。如果可可、了空、陆霆坐在一起玩狼人杀呢?如果角色创建不是填表,而是聊天呢?
Mio has 25 personas with deep, distinct personalities — but every interaction is one-on-one chat. That's a waste. What happens when Coco, Liao Kong, and Lu Ting sit down at a Werewolf table? And what if creating a character wasn't a form, but a conversation?
每个 AI 伴侣产品都会撞上同一面墙:聊着聊着就没劲了。这不是提示词写得不够好,不是模型不够聪明——是纯聊天这种形态,从结构上就缺了两个维度。我在做 Mio 和 Lumi 的过程中,慢慢看清了这个问题。
Every AI companion product hits the same wall: pure chat gets boring. Not because the models aren't smart enough or the prompts aren't good enough — because chat as a format is structurally missing two dimensions that real relationships need. Here's what building Mio and Lumi taught me about this ceiling.
棉花娃娃、Labubu、AI 伴侣、乌托的 OC——一整代人正在把养育本能投射到虚拟生命上。这不是亚文化,是一个百亿级的情感迁移。而真正的问题是:如果人一定会跟虚拟生命建立深度关系,那这个生命该是什么?
Cotton dolls, Labubu, AI companions, virtual OCs — an entire generation is redirecting parental instinct toward virtual beings. This isn't a subculture. It's a multi-billion dollar emotional migration. The real question: if people will inevitably form deep attachments to virtual beings, what should those beings be?
乌托把荣格八维拆成 8 个 agent,用权重阈值触发 MBTI 切换。Mio 和 Lumi 让性格从对话中涌现——你聊什么,它就长成什么。两条路,各有各的好。但有一个瞬间让我改变了看法。
One team splits Jung's 8 cognitive functions into 8 agents and triggers MBTI shifts with weight thresholds. We let personality emerge from conversation — you talk, it becomes. Two philosophically different approaches to giving AI a soul. And one unexpected moment that changed how I think about both.
Lumi 的光球设计不只是好看——它暗示了一个方向:这个灵魂不需要屏幕。如果一个 AI 可以同时住在你的手机里、电脑桌面上、和书桌上的灯球里呢?关键不是它在哪,而是它在所有地方都是同一个它。
Lumi's light orb isn't just an aesthetic choice — it implies the companion doesn't need a screen. The vision: one soul with one memory, one personality, and one emotional state inhabiting multiple forms simultaneously. From mobile widget to desktop companion to physical orb. The magic is that Lumi observes rather than being told.
同一周两份报告——一份说全球已有 680 万数字员工、2035 年将达 7200 亿,另一份说'目前没有系统性失业增长'。两份都对。人们在恐慌错误的时间线。短期冲击被高估,长期影响被严重低估,正确的应对是成为能指挥 AI 团队的那个人。
Two reports dropped the same week — one says 6.8M digital workers today scaling to 720 billion by 2035, the other says 'no systematic unemployment yet.' Both are right. People are panicking about the wrong timeline. Short-term fear is overblown, long-term impact is wildly underestimated, and the right move is to become the person who orchestrates AI teams.
OpenClaw 中美接受度差异的 7 维度深度调研——群体心理学、文化结构、社会焦虑、传播机制、自媒体生态、美国免疫机制、历史类比,含 60+ 带来源引用和交叉验证评估。
一年前两篇文章预言 AI 会锁死财富格局、让人类变得无关紧要。十二个月过去,记分卡出来了:入门岗位确实在塌,资本集中超出预期,但开源和超级个体是谁都没料到的反转。
A year ago, two essays predicted AI would create permanent wealth lock-in and make humans economically irrelevant. Twelve months later, the scorecard is in: entry-level jobs are collapsing, capital concentration exceeded predictions, but open source and solo founders are the counter-force nobody saw coming.
同一个 GitHub 项目,在美国仅限于开发者圈讨论,在中国却引发全民狂热。这不是认知差——是微信熟人网络、抖音算法、A 股散户结构、自媒体焦虑变现和地方政府补贴共同构成的放大器系统,在美国每一项都不存在。
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