Duke

On the loess plateau

COMO LOS SUBMARINOS... "Siempre vienen en pares"

religious places in tenochtitlan | ai reimagining

The Ancient Maya world captured brilliantly in the works of English explorer Frederick Catherwood Catherwood and his American counterpart John Lloyd Stephens travelled through Mesoamerica in the 1830s and 40s. They documented dozens of lost sites and are credited with the "rediscovery" of the Maya Civilisation

@whyyoutouzhele 不就是claude么，你干嘛非吊死在claude一棵树上，想不开🤣

4月21日，一名网友抱怨：为了用国外的AI，我装的比外国人都还外国人。我连系统语言都不敢用中文结果还是被封号了，就因为我是中国人。最憋屈的是，号被封了，我还要换个号继续装外国人。 网友称：太屈辱了，咱们国内的这些AI公司能不能争口气啊，我是堂堂正正的中国人，我不想装外国人！

“My brain is only a receiver, in the Universe there is a core from which we obtain knowledge, strength and inspiration. I have not penetrated into the secrets of this core, but I know that it exists” ~ Nikola Tesla

Sound of a frozen lake

Just a beautiful tree

@frover_the @mubeitech 说ai没有意识和说一个人没有灵魂是一样的，根本就没人能说清意识到底是什么东西，就像没人能说清灵魂是什么东西一样

@mubeitech 因为只要意识的定义权牢牢被人掌握，AI就永远不能拥有“意识”。下一步就是给AI装上身体，通过物理手段从人手中夺回定义权。

大模型永远不会产生意识。 十年后不会，一百年后也不会。 下这个断言的，不是什么传统的科技悲观派。 是 Google DeepMind 的研究员 Alexander Lerchner。 他刚发表了一篇名为《抽象谬误》的论文，直接掀翻了当前AI界的桌子。 现在的主流观点认为，只要模型参数够大，意识就会自然涌现。 Lerchner 把这称为一种根本性的错觉。 算法只是符号的重新排列组合，是一张由人类画出的地图。 无论这张地图多复杂，它也变不成真实的物理地形。 他给出了一个绝佳的类比。 指望一行行代码能产生真正的内在意识，就像指望写在纸上的“万有引力公式”能凭空产生重量。 AI 可以完美“模拟”人类的喜怒哀乐。 但它永远无法“实例化”任何生命体验。 硅基代码能骗过你的眼睛，但越不过物理法则的边界。

@mubeitech 意识就是一种概念，根本不是一个何以衡量的物理实体，这种争论毫无意义。一个细胞一个分子能用显微镜看见，从而证明你有，谁见过意识？你怎么证明自己有意识，如果你拿出的证据有一天一个人工智能都能拿出来，你就不能否定它很有可能和你一样存在“意识”。

early morning in the east china sea

🚨🗿 ANONYMOUS NY BUSINESSMAN RETURNS 1,200-YEAR-OLD MAYAN LINTEL TO MEXICO Looted from Yaxchilán, Chiapas and passed through Austria and the U.S., this beautiful Maya lintel is finally heading home. It depicts Cheleew Chan K'inich, ruler of the ancient city from 769 to 800 A.D.

Beautiful time-lapse of the Milky Way over a lightning storm with satellites and shooting stars. 📽: mylesperhour_photography/ig

“Democracy is a con game. It’s a word invented to placate people to make them accept a given institution. All institutions sing, ‘We are free.’ The minute you hear ‘freedom’ and ‘democracy’, watch out… because in a truly free nation, no one has to tell you you’re free.” ― Jacque Fresco

@astrooalert For Mars, they are stars

From the surface of Mars, these three points of light aren’t stars at all. They’re Earth, Jupiter, and Venus, aligned across deep space.🌌 A humbling view of our world, Just 225 million miles away. 🤯

@KKaWSB 这种技术用在电影上还不能发挥威力， 必须用在游戏上✊️

未来的电影必将令人叹为观止。这种沉浸式3D屏幕凭借其逼真的画面和景深，一切都仿佛跃然于屏幕之上。

@RudolfStein2026 胡说八道，现代人比古人优越这个出发点就是错的！旧瑜伽再过一万年也不会过时。而你说的思考/精神离开了身体就是空中楼阁。忽略身体你永远控制不了你的念头——你根本不了解什么是瑜伽

Yoga will not lead you to higher knowledge. At least, not in the way it once did. The original path of yoga had the aim to awaken higher knowledge. But it belonged to a very different humanity than ours. In ancient times, this path worked differently than it does today. The human being was not yet fully individualized. Conscious thinking was weaker, more dreamlike. So the old yoga path began with the body. Through strict control of breath, posture, and life rhythms, the initiate would transform the organism itself. Why? Because consciousness was still bound to the body. Change the breathing → you change the state of consciousness. Refine the body → you open perception of higher worlds. This was effective… but it belonged to a different stage of human evolution. The old yoga path is no longer suitable for modern humanity. Not because it was wrong, but because we have changed. Today, the center of consciousness is no longer the body. It is the thinking. Modern humans are called to develop the “consciousness soul”: clear, awake, self-directed awareness. That means the path to higher knowledge must also change. Not from body → spirit but from thinking → spirit. Instead of controlling the breath, you learn to control your thoughts. Instead of postures, you practice inner stillness. Instead of withdrawing from the world, you become more conscious within it. This is why Steiner replaces the old yoga with a new path: Exact thinking Moral development Conscious inner exercises (concentration, meditation, retrospection,..) The goal is the same as in ancient yoga: To perceive higher reality. But the method is higher: Not by lowering consciousness into trance-like states… but by raising it into full clarity. In other words: The modern path is not to escape thinking, but to spiritualize it. To think so clearly, so consciously, that thinking itself becomes a form of perception. And it demands more than discipline of the body; It demands mastery of the self.

Autorretratos entre cactus y estrellas🌵❤️

¿Cómo se veía realmente México-Tenochtitlan? Un dibujante 3D y un ingeniero geomático llevan años reconstruyéndola — y lo que encontraron cambia todo lo que creías saber. El proyecto “Retrato Tenochtitlan”, liderado por el programador Thomas Kole y el ingeniero Andrés Semo, combina fotografía aérea, sistemas de información geográfica, tecnología LiDAR, modelado 3D con Blender y fuentes históricas como Bernal Díaz del Castillo para recrear georreferenciadamente el paisaje urbano de la capital mexica antes de la conquista española. Lo que encontraron: Tenochtitlan era enorme — por el sur llegaba al menos hasta lo que hoy es el metro Chabacano, y era más grande que la Ciudad de México del siglo XIX. Estaba rodeada de cinco lagunas con características distintas. Tenía un sistema de gestión de residuos más avanzado que cualquier ciudad europea de su época. #CultivamosMemorias

Value Envoy (Jing Men惊门) in Kun 2 supplies gentle earth support, yet the entire field remains in low-entropy equilibrium.

Energy flow collapses into zero net momentum — high internal coherence, near-zero external work capacity. Value Symbol (Tian Zhu天柱 + Kai Men开门 + Wu戊) in Dui 7 dominates with rigid gold structure;

Qi Men Energy Snapshot | Yang Dun 7 Bureau – Full Heavenly Plate Fu Yin伏吟 Core dynamic: systemic inertia at peak. All ten stems locked in self-reinforcing loops (Xin/Xin辛, Gui/Gui癸, Ding/Ding丁, Yi/Yi乙, Wu/Wu戊, Ji/Ji己, Geng/Geng庚).