Lichtung

[Lichtung @ysltw21]

@gyger Today I found the citation I was looking for in a paper book published eighty years ago. The sentences was brilliant, but that chapter is the least known part of this famous book. That kind of pleasure is something you simply cannot experience while writing with ChatGPT.

[Athanasius @Athanasius_45]

A timeline of philosophers from 600 BC to 600 AD, the complete image is too large (3k by 23k pixels) for Twitter. Find the link below.

By Kevin Scharp from the University of Illinois.

[Lichtung @ysltw21]

I told Claude I was worried about taking my two cats on a trip, as both have some health issues. Claude offered some advice and then quoted Matthew 10:29: “Are not two sparrows sold for a farthing? and one of them shall not fall on the ground without your Father.” So sweet.

[Yashar Ali 🐘 @yashar]

In a new video, Jo Frost, aka Supernanny, warns that some modern parents are hindering their kids’ independence by choosing short-term convenience over teaching basic life skills.

The Instagram post featuring the video is filled with comments from teachers agreeing with her that it’s a growing concern.

@Jo_Frost

[vivek @itsreallyvivek]

https://t.co/ZhOgyq7Vgn

[Sac @Saccc_c]

一哥们用 seedance 2.0 制作了一个近 2h 的人类进化史科普视频

视频全网撸了上亿的流量，但是哥们你得多有钱呀？这token费用不爆炸？

[KK.aWSB @KKaWSB]

1937年，斯坦福大学的一名研究生爬上了一座废弃的木头水塔。

他叫罗素·瓦里安。他和弟弟西格德一起，在那座水塔上面装了一台他们自己造的设备。

那台设备叫"速调管"——Klystron。

它能产生一种当时几乎没人用的电磁波——微波。

兄弟俩没钱买实验室设备。

他们去找斯坦福大学的物理系主任威廉·汉森，问能不能借一间实验室。

汉森说："学校没有空房间。但你们如果不挑剔的话，操场旁边有座废弃的水塔。"

兄弟俩带着工具爬了上去。

水塔里没电。他们从一公里外拉了根电线过来。

水塔里没有水管。他们自己装了一根。

他们的"实验室"高三层楼，地板是木头，每次刮风都晃。

斯坦福大学给了他们一百美元启动经费，外加一台旧机床。

作为交换，斯坦福要求拥有他们未来发明的一半专利权。

兄弟俩同意了。

1937年8月19日，速调管第一次在那座水塔里成功工作。

它是世界上第一种能稳定产生微波的装置。

二战爆发之后，雷达成了决定战争走向的关键技术。

雷达需要稳定的微波源。

速调管是当时唯一能做到的设备。

英国皇家空军装备了基于速调管的雷达。这种雷达让他们能在夜间发现德国轰炸机。

1940年的不列颠空战，被认为是英国靠雷达扭转的。

战后，瓦里安兄弟创办了Varian Associates公司，专门生产速调管和相关设备。

那家公司成了硅谷最早的科技公司之一。

但故事真正有意思的部分不在这里。

在那座水塔里。

1937年到1941年，瓦里安兄弟和他们的导师汉森在那座水塔里工作了将近四年。

他们没有同事，没有助手，没有像样的设备。

水塔的木板缝里漏风。冬天他们要穿大衣做实验。夏天他们汗如雨下。

但那座水塔成了一个东西的起点——

斯坦福大学开始意识到，自己拥有的最值钱的资产，不是教室、不是实验室、不是图书馆。

是那些愿意爬上水塔做实验的研究生。

斯坦福的工程学院院长弗雷德里克·特曼亲眼看到了这件事。

特曼有一个学生叫比尔·休利特。

特曼鼓励休利特和他的同学戴维·帕卡德，毕业之后不要去东海岸找工作，而是留在加州，自己创业。

特曼借给他们538美元当启动资金。

休利特和帕卡德在帕罗奥图一间车库里开了公司。

那家公司叫惠普。

1951年，特曼说服斯坦福大学开放校园周边的土地，专门租给科技公司。

那块地后来叫"斯坦福工业园"。

第一家入驻的公司是Varian Associates——瓦里安兄弟的公司。

第二家是惠普。

第三家是柯达。

到1960年代，那块地上已经有几十家科技公司。

到1971年，《Electronic News》记者唐·赫夫勒写了一篇系列报道，用了一个新词——

Silicon Valley。

硅谷。

特曼后来被人称为"硅谷之父"。

但他自己从来不接受这个称号。

他晚年接受采访时说：

"硅谷不是从我开始的。 是从瓦里安兄弟那座水塔开始的。 1937年的一个夏天， 两个穷学生爬上了一座没人要的水塔， 把它当成了实验室。"
"硅谷的本质是一种态度—— 你不需要等学校给你实验室， 你不需要等政府给你经费， 你不需要等大公司给你机会。 你只需要找到一座没人要的水塔， 然后爬上去。"
那座水塔今天还在斯坦福校园里。
它被列为加州历史地标第836号。
牌子上写着：

"在这座水塔里，瓦里安兄弟于1937年发明了速调管， 开启了硅谷的时代。"
水塔下面有一块小小的纪念石。
石头上刻着一行字，是罗素·瓦里安生前说的：
"我们没有等任何人给我们机会。 我们只是找到了一个梯子。"

[Datou @Datou]

这个神经网络教程的演示绝了
https://t.co/YJZqCUaYet

[John B. Holbein @JohnHolbein1]

"We show that, depending on how the impact of omitted variables is measured, it can be substantially easier for omitted variables to flip coefficient signs than to drive them to zero."

[Suyutong @Suyutong]

这位被判刑的学生应该是在澳洲的中国留学生程方维。
也请大家关注去年7月底在中国被捕的张雅笛。
关于要不要大声呼吁的问题，透过程方维的案例及以前很多案例，都可以得到答案，家长选择不公开，一些同道也认为低调会让当局不那么重判，事实上所有不公开发声的案例，都是这样的结果。
比如，恶俗维基案如果有更早的外界声援，24名年轻人就不会被判这么多的刑期；而很多获释后当事人及家长告诉我，正是因为媒体曝光和外界关注后，当事人的待遇才有所改善。
关于程方维的案子，以及一系列回国后被捕的年轻人的案例：
1，请大家大声为他们呼吁，并且要求澳洲及其他民主国家的政府、所在大学向中国政府施压；
2，请大家搜寻所有办案人员的名字和个人信息，推动民主国家将他们列入《马格尼茨基法案》制裁名单；
3，天才女孩冯斯瑜仅仅因为学习维吾尔语就获刑（据新疆受害者数据库的信息是判刑15年），五年前，当我们在澳大利亚战略研究所的一份报告中看到这个线索时，曾透过各种方法联系其家人，但是这些所谓爱孩子的家人，甚至也认为孩子真的「分裂国家」，选择不抗争，不对外透露任何信息。
恶俗维基案时，我曾打过十几个家长的电话，只有牛腾宇的母亲站出来，不仅是为自己的孩子维权，而是为24个孩子发声；真心想对这些家长说：你们拥有这样有独立思想的孩子，他们是多么值得你们骄傲，爱孩子，最深的爱是理解他们所做的，如果有人囚禁你们的孩子，就要为孩子的自由大声疾呼和奔走，而不是妥协；
4，冯斯瑜的案例也让我们对海外大学失望，我们给她留学的美国大学和交换学生的英国学校发邮件，都石沉大海。现在很多大学都向下攀比型堕落，只比中国留学生看成「现金奶牛」，甚至成为中国政府的统战目标。他们没有能够保护这些非常好的火种一样的中国留学生。

总之：大声为他们呼吁，也许我们不能立即将他们营救出来，但最起码不会使当事人的处境更差。

https://t.co/s5nqp99IeR

[Luckylab_Vicky @Vicky22955256]

韩国某水族馆，下班了，聪明伶俐的水獭宝宝帮爷爷收拾玩具，爷爷拿出了冰块奖励给它们冰块。

[李老师不是你老师 @whyyoutouzhele]

4月15日，辽宁。一名男子市区最繁华的广场，用大喇叭朝众人喊道：“杀死一只小鸟最好的方法就是，不论它是在争吵还是在呼唤，你都写成小鸟在歌唱。
不论它是在诅咒还是在哭泣，你都写成小鸟在歌唱！不论它是在哀嚎还是在呼唤，你都写成小鸟在歌唱！”

[AYi @AYi_AInotes]

这是我最近看过最清醒的AI吐槽了，没有之一！难怪连@elonmusk 都转发了😂

一句话戳破了现在所有AI战略咨询的皇帝新衣：
AI正在给全世界所有的CEO，一模一样的建议🌚

最搞笑的是那个PUBG母公司的CEO，
不想付2.5亿的收购款，深夜崩溃跑去问ChatGPT怎么赖账😂
AI真的给他写了一整套完整的企业接管剧本，
他一字不差照着做了，解雇整个创始团队，停更所有内容，连给玩家的道歉信，都是ChatGPT写的。

结果呢？
特拉华州法官把所有判决全部推翻，不仅让他全额支付了2.5亿，还额外赔了数千万的利息和诉讼费。

法官甚至明确裁定：AI生成的商业决策日志，属于公司正式记录，必须完整提交。
本来想省2.5亿，最后花了3个多亿🤣🤣🤣

还有那个Inc杂志的记者，
他发现了一个惊天秘密：只要在prompt末尾加一句"be brutally honest"，再喂两篇哈佛商业评论，
AI就会给你"诚实的商业建议"。

他先问给狗做领导力教练行不行，AI打3分，
再问给猫做智能喷水器，跳上桌子就360度喷水行不行，AI直接打7.5分，还说"竞争格局极弱"。

他兴奋得不行，现在可能真的在找Garry Tan拉融资，做"给猫的铁穹系统"😆😆😆

笑完了说正经的，
今年3月哈佛商业评论刚发了个扎扎实实的研究。
用3万个真实商业决策场景，测了GPT-5、Claude Opus、Gemini Ultra三个最顶尖的模型，
不管你问什么行业，什么公司，什么阶段的战略问题，
所有AI的答案，永远都是那几句：
要差异化，要协作，要长期思考，要用AI增强人力。

你改prompt没用，换模型没用，给它加钱没用，甚至威胁它要删号都没用
，它就像一个训练有素的咨询顾问，永远不会给你一个出格的答案。
他们给这种现象起了个名字，叫趋势废话😂😂😂

[AI Highlight @AIHighlight]

🚨BREAKING: Two researchers from UPenn and Boston University just published a paper that should be uncomfortable reading for every CEO automating their workforce right now.

The argument is straightforward. Every company replacing workers with AI is also eliminating its own future customers. Laid off workers stop spending. Enough of them stop spending and nobody can afford to buy anything. The companies that fired everyone end up selling into an economy with no purchasing power left.

Every executive can see this. The math is not complicated. But here is why nobody stops.

If you do not automate, your competitor does. They cut costs, lower prices, take your market share, and you collapse anyway. So every company automates knowing it is collectively destructive because the alternative is dying alone while everyone else survives. The researchers proved this is a Prisoner's Dilemma playing out in real time.

The numbers are already moving. Block cut nearly half its 10,000 employees this year. Jack Dorsey said AI made those roles unnecessary and that within the next year the majority of companies will reach the same conclusion. Salesforce replaced 4,000 customer support agents with AI. Goldman Sachs deployed a coding tool that lets one engineer do the work of five. Over 100,000 tech workers were laid off in 2025 and AI was cited as the primary driver in more than half those cases. 80% of US workers hold jobs with tasks susceptible to AI automation.

The researchers tested every proposed solution. Universal basic income does not change a single company's incentive to automate. Capital income taxes adjust profit levels but not the per-task decision to replace a human. Collective bargaining cannot hold because automating is always the dominant strategy.

They also identified what they call a Red Queen effect. Better AI does not solve the problem, it accelerates it. Every company chases faster automation to gain market share over rivals but at the end everyone has automated equally, the gains cancel out, and the only thing left is more destroyed demand.

The one thing the math says could work is a Pigouvian automation tax. A per-task charge that forces companies to account for the demand they destroy each time they replace a worker.

The conclusion is that this is not a transfer of wealth from workers to owners. Both sides lose. Workers lose income. Companies lose customers. It is a deadweight loss with no market mechanism to stop it on its own.

[Archaeo - Histories @archeohistories]

Christina Koch didn’t arrive at the edge of the Moon by accident—she built her way there, piece by piece, long before anyone was watching.

She grew up in North Carolina with a fascination for how things work, a curiosity that pushed her toward engineering and science when those paths still quietly filtered women out. She earned a degree in electrical engineering and physics, then went further—working in some of the most extreme environments on Earth. Antarctica. Remote research stations. Places where isolation, endurance, and precision weren’t optional—they were survival. Long before space, she was already proving she could handle it.

When she joined NASA, she wasn’t stepping into a spotlight—she was stepping into years of training, discipline, and technical mastery. And in 2019, she did something no woman had ever done before: she stayed in space for 328 days. Nearly a full year aboard the International Space Station. That mission wasn’t symbolic—it was demanding, relentless, and deeply physical. She conducted experiments, maintained systems, and stepped outside the station six times for spacewalks.

One of those spacewalks became historic—the first all-woman spacewalk, alongside astronaut Jessica Meir. It wasn’t planned as a headline. It was a mission that needed to be done. But it quietly marked a shift. Women weren’t just part of space exploration—they were leading it, executing it, defining it.

And then came Artemis II.

Christina Koch was named as a mission specialist on the first crewed lunar mission in over 50 years—a flight that will carry humans around the Moon and back. No landing, no footprints this time—but something just as powerful. She will become the first woman to travel that far from Earth, circling the Moon itself.

That matters more than it sounds.

Because for decades, women were excluded from early astronaut programs entirely. They had the intelligence, the discipline, the capability—but not the access. The image of space exploration was built without them. Christina Koch’s presence on Artemis II doesn’t just add a woman to that story—it changes the shape of it.

She represents a generation that didn’t wait for permission. That trained, worked, endured, and stepped forward anyway.

From the frozen isolation of Antarctica to nearly a year in orbit… to the vast distance between Earth and the Moon—her path isn’t just about achievement. It’s about expansion. Of possibility. Of representation. Of what the future looks like.

For the first time, when humanity circles the Moon again, a woman will be there.

Not watching history. Making it.

© Women In World History

#archaeohistories

[Lichtung @ysltw21]

@timyangnet @dotey 非常认同。到现在任何ai agent也没到达活人做文献综述的水准。还有研究伦理的限制。所以最会“阅读”的这批人没有把技能蒸馏给它们的动力和欲望。最后一个环节里的“社区观点回馈”需要被重视。不能想象你的cohort是一群龙虾。它们是为奖励机制而活的，不是为了星空和道德律。因此你不会遇到真正的碰撞。

[matty ||-// josh dun obsessed @lanexboyxjosh]

oh this is everything to me

[Sakshi Narula @mssakshinarula]

Christina Koch-her coolness, her intelligence, her thoughtfulness, her insane resume, her humanity and her arms should get a special mention on Twitter every day.

[lidang 立党 （劝人卖房/学CS/买SP500/纳100/OpenAI/Anthrop第一人） @lidangzzz]

很多人说，张雪再一次引爆了中国摩托车的产业链——我怀疑这些都是00后。我给你们回忆一下。

2000年前后，中国是全球摩托车制造第一大国、消费第一大国，光嘉陵一家公司，一年销量就100多万，当年摩托车产业百团大战。

2000年开始，中国所有一二三四五线城市开始推行禁摩令，中国摩托车产业直接死了。

当时消费主力转移到了东南亚，东南亚自己消费、自己生产、自己制造，东南亚厂商全球市场上直接把中国所有摩托车产业给干死了。

历史就是这么简单。