大喜Angela

8年“一人公司”+“数字游民”
分享AI一人公司赚钱方法
以及AI 和商业航天趋势
普通人0门槛低成本创业副业真实案例

2026年AI赚钱的6大方法（附15个真实案例）：

[大喜Angela @geminilucille]

2026年用AI赚钱的6大方法（附15个真实案例）

未来10年，是一人公司的高爆发期，也是所有普通人能够拥有的最大的机遇。
有人给我留言说，趋势看太多了，道理都懂，到底应该怎么落地啊？
我把近年的最新实践整理成了这篇5万字指南！
你一定会找到适合你的1-2种方式，开始实践！
https://t.co/CMm1nCP2oH

[KK.aWSB @KKaWSB]

Kimi K3发布前两天的月之暗面办公室，长这样。

几个人挤在工位前盯着屏幕，短裤、拖鞋、桌上摆着凉茶和吃剩的外卖，墙上贴着Richard Sutton那篇《苦涩的教训》。

就是这拨人，撑着一家估值200亿美元的公司——两天后，他们甩出的Kimi K3在Arena前端榜冲上全球第一。

[Xinyu Yang @Xinyu2ML]

Why can Kimi ship K3? Let me tell my story.

Earlier this year, I left academia for industry. I talked to a lot of companies along the way. Here's what I saw:
1⃣Arrogance. They believe the AI war is over, and they won. No hunger for the future, and no hunger for talent.
2⃣Restlessness. Young labs short on foundation, either rushing to catch the frontier or pivoting away from the competition.
3⃣Fear. Strong teams with real experience, but from the second tier, they can't quite bring themselves to aim for #1.
4⃣Misalignment. Everyone is optimizing for their own credit, but nobody really cares whether the company can reach AGI.

Kimi was different.
Over many conversations with the founders, the same thing came through every time: a raw, genuine hunger for AGI.

I joined. The hunger was real.
We shipped K3. This is only the beginning.

[思维怪怪 @0xLogicrw]

月之暗面新团队成员杨新宇解释了 Kimi 为什么能推出 K3。

他称，自己今年离开学界进入产业，期间接触了多家 AI 公司。他总结出同行的四种通病：

① 傲慢。 老牌团队认为 AI 战争已经结束，自己已经赢了，对未来和人才失去渴望。
② 浮躁。 年轻实验室基础不牢，只顾追赶前沿，追不上就匆忙转向其他赛道。
③ 胆怯。 一些团队经验丰富、实力不弱，却不敢把目标定为行业第一。
④ 目标错位。 每个人都在争取个人功劳，却没人真正关心公司能否做出 AGI。

杨新宇称，月之暗面最不同的地方，是创始团队仍对 AGI 保持强烈追求。这也是他选择加入的原因。

他还晒出一张「Kimi 五戒」：

① 模型公司要做模型。
② 做 Research、发 Paper 要做实验。
③ 训练模型要看 Metric。
④ 不 Work 的东西不要硬上。
⑤ 不要 YOLO。

翻成大白话，就是少讲故事，多做实验。训练要看数据，失败方案及时停，也不要靠直觉豪赌。

[Russ Salakhutdinov @rsalakhu]

Congratulations to Zhilin Yang, founder and CEO of @Kimi_Moonshot, on the latest Kimi release. What a huge win for the open-source community!

It feels like just yesterday Zhilin was graduating from my lab at CMU, jointly co-advised with William Cohen. Not only did he complete his Ph.D. in just four years, but he also made truly fundamental contributions to ML during his time at CMU.

What a spectacular career! Congrats again Zhilin, and thank you and the entire Kimi team for everything you're doing for the open-source community.

[Arena.ai @arena]

Big news: Kimi-K3 by @Kimi_Moonshot is now #1 in the Frontend Code Arena with 1679 pts, surpassing Claude Fable 5.

This is a 17-place jump from Kimi-k2.6 (#18 -> #1).

In Frontend, Kimi-K3 ranked #1 in 6 of 7 domains: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Simulations, and Content Creation Tools, landing #2 only in Gaming behind Fable 5.

The full model weights will be released by July 27.

Congrats to the @Kimi_Moonshot team on this major milestone!

[Peter H. Diamandis, MD @PeterDiamandis]

This week my Mates and I are interviewing NASA Administrator Jared Issacman on the MOONSHOTS Podcast.

What questions do you have for the Administrator?

[财经老王 @linda6248130564]

你能想象我们已经把人工智能用到什么地步了吗？

一位日本YouTube博主，在2026年的今天，他的整个频道完全由7个AI代理管理，本人几乎什么都不用做！

去他东京公寓参观时，他爆了个猛料：整整10个月，他没打开过任何剪辑软件，只按月付费让系统自己跑。

7个AI分工明确：

- 第一个：24小时监控YouTube趋势，抓准大家当下最感兴趣的内容
- 第二个：拿到选题后，用和博主完全一致的风格语气，写出完整脚本
- 第三个：生成游戏镜头、画面素材等视频所需的全部视觉内容
- 剩下4个：分别负责剪辑、封面设计、SEO优化，以及整套流程的调度协调

现在就把这篇内容收藏好，等你醒来就会看清世界正在往哪走🔖

这套系统的惊人数据：

- 每周产出4条长视频 + 每日1条短视频，全年稳定更新
- 每月运营成本：仅约70美元（API调用费）
- 每月收入：接近18万美元！

99%的创作者和开发者，还把AI当成聊天机器人，问一句答一句，还纳闷怎么跟不上节奏；
只有1%的人懂：AI的真正威力，是搭建自主工作流——让系统自动跑、自动校验、自动完成全流程，把成本压到最低。

[Kyle L @kylas610]

Is Ontario's wildfire situation
under control?
Not yet. Fire crews are still battling active wildfires in Northern Ontario, while some communities remain evacuated.
The biggest danger now is not just the flames, it's the smoke spreading hundreds of kilometers across Canada.
The worst-hit areas are in Northwestern Ontario, including communities near Armstrong, Lac La Croix, Collins, Whitesand and Lac des Mille Lacs First Nations.
Thousands of hectares of forest are burning, forcing evacuations and sending smoke across the province - all the way to cities like Toronto.

[Teddy - PolyBackTest.com @Bitcoin_Teddy]

Elon Musk thinks the entire education system is built on a broken assumption.

That every student should learn the same thing. At the same speed. In the same order. At the same time.

Musk: “Everyone goes through from like 5th grade to 6th grade to 7th grade like it’s an assembly line. But people are not objects on an assembly line.”

The model was designed for a factory economy. Standardized inputs. Predictable outputs.

That economy is gone. The assembly line is gone.

But the education system still runs on its logic.

A student who masters algebra in two weeks sits through eight more weeks because the calendar says so. A student who struggles gets dragged forward because the schedule doesn’t wait.

Neither is being served. Both are being processed.

Musk: “Allow people to progress at the fastest pace that they can or are interested in, in each subject.”

AI doesn’t teach a classroom. It teaches a student.

One at a time. Every time.

It skips what a student already knows. It finds where they’re stuck and approaches it from a different angle.

It adjusts in real time. Not at the end of a semester when the damage is already done.

A student obsessed with basketball learns fractions through shooting percentages. A student who builds in Minecraft learns geometry through architecture.

The subject doesn’t change. The entry point does.

No teacher with thirty students can do this. Not because they lack skill.

Because the math doesn’t work.

AI doesn’t have that constraint.

Musk: “You do not need to tell your kid to play video games. They will play video games on autopilot all day. So if you can make it interactive and engaging, then you can make education far more compelling.”

The brain isn’t broken. The format is.

Kids learn complex systems and strategic thinking for hours voluntarily. Then walk into a classroom and can’t focus for twenty minutes.

That’s not a discipline problem. That’s a design problem.

Musk: “A university education is often unnecessary. You probably learn the vast majority of what you’re going to learn there in the first two years. And most of it is from your classmates.”

Four years. Six figures of debt.

And the real value comes from the people sitting next to you. Not the institution charging you.

The degree doesn’t certify knowledge. It certifies endurance.

Musk: “If the goal is to start a company, I would say no point in finishing college.”

The system was built to train employees. If you’re not trying to be one, it has nothing left to offer you.

Every lecture. Every textbook. Every curriculum. Now available instantly. Personalized to any learner. Adapted to any pace.

The question isn’t whether the old model survives.

It’s how long we keep forcing students through it while the replacement already exists.

[Race 🕊️ @multiplanet1]

Elon Musk's personal pilot once described what happens on the plane between meetings.

He said Elon doesn't sleep on flights. He doesn't watch movies. He doesn't make small talk with whoever is traveling with him. He reads. For the entire flight. Technical papers, engineering specifications, physics textbooks. Highlighted. Annotated. Pages folded. Like a graduate student preparing for an exam that never ends.

The pilot said he has seen Elon read an entire 400-page engineering manual on a single transatlantic flight and then walk off the plane and ask questions about it that the authors of the manual probably couldn't answer. Not because he's trying to impress anyone. Because he genuinely needs to understand every system at the level of the engineers who designed it.

He said the most unsettling part is the speed. Elon doesn't read at a normal pace. He processes pages the way most people process paragraphs. And he retains almost everything. Engineers who worked with him for years say he will reference a detail from a paper he read six months ago mid-conversation as if he read it that morning.

The world sees a CEO making decisions. What actually happens is a man who reads more technical material than most PhD students and then walks into a room with the engineers and speaks their language. The authority isn't inherited from the title. It's earned page by page on every flight between factories.

[ChatCut @chatcutapp]

That opening graphics is stunning. The new GPT 5.6 + ChatCut is fire.

[Rainier @mtrainier2020]

上一次建筑业至暗时期时93-96年。
那个时候是中国第一次有点规模的房地产泡沫破裂。
海南房地产泡沫的破裂，这个烂账拖垮了很多企业和个人。中国罕见的银行破产也在那个时候发生了。
北京，上海的房价也跌的一塌糊涂。
上海都放出蓝印户口的大招了。
当时还在报纸上，第一次学到了这个次，楼堂馆所，当时的背景是，国务院发文，1994年全国暂停楼堂馆所的建设。
当时房地产老板，建筑老板破产的也有不少，当时大多数还是生存下来了。

但是这次不一样。
号称鲁班奖拿到手软的，建筑之乡，所有的第X建筑公司，团灭。 没宣布倒闭的，是因为政府不让，要老板们拿个人资产出来补。
这个行业不存在了。
有很多亲戚，朋友，同学在这个行业中，几乎全部改行了。
而且再叠加人口的暴跌，这个行业在我们老家以后也不可能再恢复过来了。

[Dustin @r0ck3t23]

Elon Musk just proved every sighted person on Earth is blind.

Your eye captures 0.0035% of the electromagnetic spectrum.

You are not seeing the universe. You are seeing the sliver your biology decided was enough to keep you alive.

That was never vision. That was a survival filter bolted onto your perception four hundred million years ago.

No one has ever removed it.

Musk: “Blindsight will enable those who have total loss of vision to be able to see again. Including if they have lost their eyes, or the optic nerve.”

No eyes. No nerve. The entire optical system physically absent from the skull.

Neuralink does not rebuild what broke.

It routes around biology entirely. It streams synthetic signal straight into the visual cortex.

Your eye never saw anything.

Your brain did.

Your brain sits in total darkness inside a vault of bone.

It has never seen the sun. It has never seen anything.

It builds reality out of whatever electrical signal the eye allows through.

The eye is the bottleneck between your mind and the universe.

Neuralink removes the bottleneck.

Musk: “Maybe have never seen, were even blind from birth.”

A human who has never perceived a single photon of light.

Given sight for the first time.

Not through medicine. Through engineering.

Musk: “You can see in radar, you can see in infrared, ultraviolet.”

Infrared is pouring off every surface in the room around you.

Radio waves are passing through your body right now.

Ultraviolet is painting patterns across everything you have ever looked at.

You cannot see any of it.

Your biology locked you out before you were born.

Musk: “Superhuman capabilities.”

The person born blind would not be restored to human sight.

They would see more of the universe than any sighted person who has ever lived.

The blind would out-see the sighted.

You will not pity them.

You will envy them.

Musk: “Cybernetic enhancement.”

Every human sense is a sensor converting the world into electrical signal.

Replace the sensor and the brain does not care where the signal came from.

It just processes.

Your senses were never built to show you reality. They were built to show you just enough of it to survive.

Evolution built a keyhole. We called it sight.

Elon Musk is not fixing blindness.

He is fixing sight.

[大喜Angela @geminilucille]

学校🏫和教师 🧑‍🏫
现在是影响我家孩子学习的最大阻碍

[🔻agitprop + absurdity🔻 @agtprpnabsrdty]

Hedge fund managers, venture capitalists, and tech executives are pulling their kids from public and private schools to enroll them in AI-tutoring startups that pay staff to stop calling themselves teachers and face no state requirement to report how well any of it works.

Alpha School, now in a dozen cities and expanding to nearly two dozen more this fall, charges $75,000 a year in San Francisco for two hours of AI tutoring followed by project workshops, using software that tracks how closely a child pays attention. Forge Prep in New Jersey charges up to $36,000 and promises graduates a $200,000 payout if they start a company instead of taking a job. Billionaire Bill Ackman has publicly backed Alpha. Neither school reports outcomes to any state, and Forge's own founder admits there is no data showing things are going well.

Alpha sells home-schooling software on top of tuition. Forge's startup fund assumes graduates will found companies rather than join a labor market its own AI curriculum is designed to help automate. Alpha's spokeswoman says its families are overwhelmingly finance, venture capital, and tech workers, meaning the industry building the AI disrupting entry-level jobs is now selling itself a private curriculum to land its own kids on the ownership side of that disruption.

Alpha's in-person staff voted to reject the word teacher, and its remote coaches monitoring the AI software are scattered across the globe. Stanford's Victor Lee says dropping the title diminishes the professionalism teaching requires. Stanford's Caroline Hoxby, who studies these programs rather than sells them, says there is negligible scientific evidence behind any of it.

My take: The same investor class funding AI tools built to gut entry-level jobs is now buying its own children a private exemption from those tools' consequences, for $75,000 a year.

Public schools absorb AI disruption unfunded and unreformed while this cohort builds itself an unaccountable alternative marketed as personalization. This is what class stratification looks like once it gets rebranded as coaching, guides, and life skills.

https://t.co/eAZnvCxex1

[Koda @wadezone]

还是评论区出人才

[Aron厚玉 @aronhouyu]

二手车贩子天都塌了

身边有亲戚在苏州做二手车，说去年开始到现在，死了8成同行

剩下的都在硬挺

天津港的平行进口都死差不多了

[DogeDesigner @cb_doge]

A world of amazing abundance. 💫

[James Clear @JamesClear]

The first minute of action is worth more than a year of perfect planning.

[BITWU.ETH 🔆 @Bitwux]

孙哥 @justinsuntron 昨天在抖音发了自己去年的太空飞行Vlog，还蛮有意思的！

花了两个亿上了趟太空，回来后孙哥顿悟，换个吃从太空看地球原来如此渺小，什么战争、什么争执，都毫无意义。

如果未来人类的活动半径不再只停留在屏幕里、城市里、地表上，那 AI 也一定会从数字世界进入现实空间，最后走向更远的物理世界。

回想起孙宇晨在年初的时候提的那 4 个物理 AI 方向和赛道，突然感觉很合理了：

1⃣具身智能：有手有脚的机器人，物理AI的身体。
2⃣无人机：物理AI在低空的眼睛和手。
3⃣空间计算：让AI理解“桌子离你多远”的能力。
4⃣太空探索：物理AI的终极边界。

[大喜Angela @geminilucille]

@BetterCallMedhi 怎么会不屑 一个个都在努力学英语