大浮黎土 Manyworld Many

The only way to perceive a three-dimension is to be in a fourth-dimension.

[大浮黎土 Manyworld Many @ManyworldM18798]

"Magick is an influence on probability and minds.

Make a plan that could work without magick, then use magick to make that plan work better - such is Strategic Sorcery."

[大浮黎土 Manyworld Many @ManyworldM18798]

https://t.co/yGkFC8gZ5Y

[大浮黎土 Manyworld Many @ManyworldM18798]

@Molly8527230957 @luosiling 上野千鹤子说彩礼习俗更像是物质主义和金钱崇拜，而非女性主义:
https://t.co/N4FoFJ58DD

[大浮黎土 Manyworld Many @ManyworldM18798]

@RichTerry123 當年蘇聯為了和美國競賽軍備, 忽视民生消费, 結果...🤔

[大浮黎土 Manyworld Many @ManyworldM18798]

@yanxiaohuaier “朝鮮有什麼不好？”

[大浮黎土 Manyworld Many @ManyworldM18798]

@KateXGate

[大浮黎土 Manyworld Many @ManyworldM18798]

@QualiaQuanta https://t.co/r2zmyfWqqH

[Quanta Magazine @QuantaMagazine]

Do you believe in “magic”? According to Charles Cao, this feature of quantum systems might be what makes the fabric of space-time so bendy and springy.
https://t.co/DoLuozu0Lu

[大浮黎土 Manyworld Many @ManyworldM18798]

"The problem is - because astrophysics is already mostly data science and math, many of its juiciest problems may be low-hanging fruit for LLMs."

[Andrew Akbashev @Andrew_Akbashev]

Science published is a VERY disturbing article about AI’s impact on astronomy. It's a big warning for other fields too.

Key examples from the article:

1. Many scientists interviewed by Science sense a phase change underway. Many fear that if unleashed in all parts of the scientific process, AI tools could lead to nothing less than the death of astrophysics as a human endeavor.

“A lot of people think that it’s too late to intervene - we’re done,” says David Hogg, a computational astrophysicist at New York University.

- The problem is - because astrophysics is already mostly data science and math, many of its juiciest problems may be low-hanging fruit for LLMs.

2. Matthew Schwartz (Harvard University) used Claude to generate in 2 weeks a real, publishable physics paper that he claimed would normally take a year. “Schwartz’s sense was that the “AI grad student” approximated a second-year grad student at Harvard. Give AI 12 more months, Schwartz extrapolated, and LLMs’ capabilities may rival those of postdocs.”

3. For Alyssa Goodman’s group, separating the motion of the spiral galaxies from the spin and the geometry of our own Galaxy had been difficult for years. She asked ChatGPT, which resolved the problem in a few minutes.

4. In September 2025, a guest speaker at the NYU ran an AI agent in real time in the background. As he spoke, the system called Denario (built by a group at the Flatiron Institute) generated entire scientific projects. It scoured journals, spun out ideas, carried out analyses, and extruded professional-seeming scientific papers (some goofy, some plausible) that popped up on the screen behind him.

With tools like this and beyond, he said to an audience of mostly grad students, you NO LONGER NEED grad students.

“Why wait months for a young human scientist to do a project when an AI can give you the answer within an hour?”

📍 My observation & opinion:

1. AI is already getting fully adopted in data-intense fields (including math-rich topics). It accelerates research 100-1000 times. I don’t see how anyone stops it there.

2. Publishing LESS may become important. Well before LLMs, I followed the principle of ‘minimizing the number of papers’ because high quality of research is the best way to stand out. The more papers are published in your field, the noisier it gets. To be visible and impactful, you must raise quality substantially above that noise.

3. We’ve already got used to outsourcing everything to AI. This is very dangerous. To learn & develop, our brain needs to struggle. It needs confusion, challenge and desperation. This is how the brain has evolved to excel and this is the only thing that gives it competitive advantage in front of sophisticated AI.

And this AI ‘wave’ is just the beginning.

Does it all mean “the chase of the truth” is becoming the machine’s job?

Hopefully not.

__

[大浮黎土 Manyworld Many @ManyworldM18798]

‘The Hidden Nations of Animals:’ A New Way to See the World We Share https://t.co/C1QTdztuAO via @peta

[大浮黎土 Manyworld Many @ManyworldM18798]

"Your brain has two modes. The Focused Mode: tight attention, prefrontal cortex engaged, grinding through familiar steps. The Diffuse Mode: it runs in the background when you relax. It is loose, wide, and wired for connecting ideas that sit far apart from each other."

[Ihtesham Ali @ihtesham2005]

An engineering professor who failed math her entire childhood spent years figuring out exactly what had been sabotaging her, and the answer was not low intelligence. It was a hidden mode her brain kept switching into that nobody had ever told her existed.

Her name is Barbara Oakley. The book is called A Mind for Numbers.

She failed math and science from grade school to the end of high school. Numbers felt like a language everyone else had been taught in secret.

So she ran toward the thing she was good at. She enlisted in the Army right after graduation, and the Army paid her to learn Russian at the Defense Language Institute in Monterey.

She got very good at Russian. Good enough to earn a degree in Slavic Languages, serve four years in Germany as a Signal Officer, and rise to Captain.

Then the wall appeared.

She watched her career options shrink because she could not handle the technical side of her own job. The people with math moved up and moved out. The people without it stayed stuck. So at 26 she did something that sounds insane. She left the Army and enrolled in engineering, starting from remedial math, sitting in classrooms with teenagers.

In between, she worked as a Russian translator on Soviet trawlers in the Bering Sea and as a radio operator in Antarctica. Today she is a professor of engineering at Oakland University with a doctorate in systems engineering.

The question that drove her for years was simple. What changed? She was the same brain that failed algebra. Why did it suddenly start working?

The clue was hiding in the one subject she had mastered. She noticed she had never learned Russian by staring at it. She practiced a little every day, walked away, came back, and the language quietly assembled itself between sessions. Math she had attacked the opposite way. Lock eyes with the problem. Push harder. Refuse to look away until it cracks.

It never cracked. And neuroscience explains why.

Your brain has two modes. The focused mode is the one you know. Tight attention, prefrontal cortex engaged, grinding through familiar steps. The diffuse mode is the one nobody teaches you. It runs in the background when you relax. It is loose, wide, and wired for connecting ideas that sit far apart from each other.

Oakley uses a pinball machine to explain the difference. In focused mode, the bumpers are packed tight. Your thought bounces in the same small circle, over the same ground, again and again. In diffuse mode, the bumpers spread out. The thought travels. It reaches parts of the brain the tight loop could never touch.

The trap has a name. The Einstellung effect. The first approach that comes to mind blocks every better approach behind it. The harder you focus, the tighter the loop, the more locked in you become. The grinding feels virtuous. It is actually the cage.

And every time her mind wandered off a math problem as a kid, she dragged it back, believing the wandering was laziness. The wandering was her brain trying to switch into the mode that solves things. She spent ten years fighting the half of her brain that wanted to help her.

You cannot run both modes at once. The diffuse mode only takes over when you genuinely let go. Which is why answers ambush you in the shower, on a walk, at the edge of sleep. Salvador Dali knew this. He napped in a chair holding a key over a plate, and the instant he drifted off, the key dropped, woke him, and he carried the half-formed ideas straight back into focused work. Edison did the same trick with ball bearings. Two of the most inventive minds in history were deliberately farming the mode the rest of us treat as slacking off.

The practical version fits in two sentences. Focus hard on the problem until you stall. Then stop completely, and let the other mode take the shift.

The break is not a reward for the work. The break is the work. It is also why cramming fails and procrastination is fatal. Diffuse mode needs hours and nights between focused sessions to build anything, and procrastination burns that time before the first session even starts.

Oakley failed math for ten years using one mode at full strength.

She became an engineering professor the day she started using both.

[Science Simplified @Scivf4]

This is what the AI brain looks like.

[大浮黎土 Manyworld Many @ManyworldM18798]

@ArchieHall @TheEconomist "But the centre has struggled, too, to concoct a creative and enticing policy offer."

The center must hold. But what is the center?

[大浮黎土 Manyworld Many @ManyworldM18798]

@china_action 新书发布地址：

中国行动官网：https://t.co/nsosH7Kpgs…

中国民主转型研究所：https://t.co/rMQRZrYFay

[中国民主转型研究所(ICDT) @chinatransition]

🔈新书预告❗

由中国民主转型研究所策划、中国行动出版社出版，推翻独裁者行动手册《革命蓝图》简体中文版，将于2026年6月4日，在中国行动、中国民主转型研究所、光覆之路三家官网，正式同步发行❗

届时读者可前往免费下载（地址参见下文链接）❗

以下是该书相关信息简要介绍：

本书作者斯尔贾·波波维奇是推翻塞尔维亚独裁者米洛舍维奇的“抵抗运动”主要领导人之一，后来创办了“应用非暴力行动与战略中心”——该组织培训了50多国活动家，其学员参与领导了格鲁吉亚玫瑰革命、乌克兰橙色革命、黎巴嫩雪松革命、阿拉伯之春等社会运动。

该书是务实的社会抗争行动指南，可以说是“社会活动家必备手册”。该书以故事丰富、可读性强、实用性强、创新性强著称，受到包括《卫报》和《纽约时报》在内多家媒体好评。《纽约时报》称，波波维奇愉快地颠覆了大多数人对非暴力斗争的常见认知。《波士顿环球报》称，该书提供了一套清晰、结构良好、易于应用的实践原则，适用于“大卫对抗歌利亚式”以小博大的抗争。

根据基于1900–2019年间大量历史数据的政治科学国际前沿研究，非暴力抗争不但是1970年代以后各国社会占压倒性多数的主要抗争形式，其成功率还是暴力抗争的两倍。

对简体中文读者来说，《革命蓝图》确实堪称颠覆了中国人对非暴力抗争的认知，有助于纠正社会偏见和认知误区，填补视野盲点和补充抗争工具箱。不管是访民、维权人士、人权活动家、不同政见者、新闻出版和传媒工作者，还是广大的政治反对派群体，乃至Z世代一般网友，都可以从本书中获得直接启发。专制政权的统治及其弱点将不再是秘密。将这些秘密祛魅以后，务实的抗争者将不再被恐惧束缚手脚。

务实的社会活动家和各种类型的实践者们，正好利用该书来充实知识库和武器库，也可以用来培训和自我训练。中国眼下抗争活动陷入低潮、抗争形式多样性衰竭、社会变革道路受阻，正好需要像《革命蓝图》这样的专业指导来补充新鲜血液。

公众在政治热情尚未被残酷现实扑灭之前，正好利用这个机会绝处逢生：从行动指南中，找到振奋社会和荡涤悲观情绪的灵感启发，让公民社会从灰烬中重燃希望，为改变现状和推进社会变革，酝酿新一轮抗争浪潮。

在热心公共事业的良心企业家赞助下，《革命蓝图》简体中文版由中国民主转型研究所策划、中国行动出版社出版，向广大中文读者免费发行，希望借此鼓励公众积极学习各国抗争经验，自发探索属于中国的社会变革道路。

电子中文版《革命蓝图》将于2026年6月4日正式在中国行动、中国民主转型研究所、光覆之路三家官网同步刊发，届时读者将可免费下载❗

最好的纪念是新的抗争❗

2026年6月4日起，敬请关注新书发布地址：

中国行动官网：https://t.co/UhDXRqMlLa

中国民主转型研究所：https://t.co/kSpS0RUkgJ

[Space Explained @SpacedExplained]

🚨: You’re closer in size to the entire observable universe than to the smallest possible scale of reality—the Planck length—by roughly 400 million times.

Let that sink in.

[大浮黎土 Manyworld Many @ManyworldM18798]

@lijigang

[Matthieu wyart @MatthieuWyart]

LLMs learn by predicting tokens. World models (JEPA, data2vec) learn by predicting their own abstractions. Which needs more data? For data with hidden hierarchy, we prove the gap is exponential. https://t.co/r2uuX0lBCu

[大浮黎土 Manyworld Many @ManyworldM18798]

@Z2BRQoBRLQ18086 不客氣！🙏

[大浮黎土 Manyworld Many @ManyworldM18798]

Histories in Spreadsheet

[Ni 黑白貓 @ni70144]

給祖宗愛好者的稱號參考v3版
BC1500~2000年版圖變遷