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@DhellFlippie

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Katılım Ağustos 2018
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Massimo
Massimo@Rainmaker1973·
This is the most detailed view of a human brain to date. A team of researchers used electron microscopy (EM) to image a cubic millimeter-sized piece of human brain tissue at high resolution and this is a single neuron with 5,600 of the nerve fibers that connect to it.
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huangserva
huangserva@servasyy_ai·
也许人类对智能的理解,从一开始就是错的。 当最聪明的人之一说出这句话时,整个文明都沉默了 AI的"简陋"机制: 输入 → 概率计算 → 预测下一个词 → 输出 没有: ❌宏大的认知架构 ❌ 深层的语义理解 ❌ 自我意识 ❌ 目标和意图 只有: ✅ 统计规律 ✅ 模式匹配 ✅ 概率分布 但它能写诗、做数学、讨论哲学等等。 陶哲轩,IQ 超过200,菲尔兹奖得主,当代最伟大的数学家。 暗示人类的"可能"机制是: 人类思维可能也是:神经元激活模式 突触连接的概率权重 一个想法触发下一个想法 没有一个"中央指挥官"在深层理解 但我们建立了: 🙏 宗教(对意义的追求) 📚 哲学(对真理的探索) 🎨 艺术(对美的创造) ⚖️ 伦理(对善的定义) 🏛️ 文明(对秩序的构建) 也许我们没有把智能输给 AI,我们只是终于看清了智能一直以来的真面目。 x.com/r0ck3t23/statu…
Dustin@r0ck3t23

Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.

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Massimo
Massimo@Rainmaker1973·
Leafcutter ants are among the most complex social organisms on Earth. Found throughout the Americas, these ants are world-renowned not just for their strength, but for being some of the planet's first "farmers".
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Chidanand Tripathi
Chidanand Tripathi@thetripathi58·
Ilya Sutskever spent 5 minutes in 2015 explaining the exact trajectory of AI models. He was completely right. Most people will scroll past this. Don't be most people. Watch & Bookmark it for this weekend:
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The Scientific Lens
The Scientific Lens@LensScientific·
Letter of Recommendation for Richard Feynman (1943): In these war times it is not always easy to think constructively about the peace that is to follow, even in such relatively small things as the welfare of our department. I would like to make one suggestion to you which concerns that, and about which I have myself a very sure and strong conviction. As you know, we have quite a number of physicists here, and I have run into a few who are young and whose qualities I had not known before. Of these there is one who is in every way so outstanding and so clearly recognized as such, that I think it appropriate to call his name to your attention, with the urgent request that you consider him for a position in the department at the earliest time that that is possible. You may remember the name because he once applied for a fellowship in Berkeley: it is Richard Feynman. He is by all odds the most brilliant young physicist here, and everyone knows this. He is a man of thoroughly engaging character and personality, extremely clear, extremely normal in all respects, and an excellent teacher with a warm feeling for physics in all its aspects. He has the best possible relations both with the theoretical people of whom he is one, and with the experimental people with whom he works in very close harmony. The reason for telling you about him now is that his excellence is so well known, both at Princeton where he worked before he came here, and to a not inconsiderable number of “big shots” on this project, that he has already been offered a position for the post war period, and will most certainly be offered others. I feel that he would be a great strength for our department, tending to tie together its teaching, its research and its experimental and theoretical aspects. I may give you two quotations from men with whom he has worked. Bethe has said that he would rather lose any two other men than Feynman from this present job, and Wigner said, “He is a second Dirac, only this time human. – Robert Oppenheimer
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vitrupo
vitrupo@vitrupo·
Source: Ilya Sutskever with Jensen Huang, the day after the release of GPT-4 in March 2023. nvidia.com/en-us/on-deman…
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brady 🌴
brady 🌴@bmgentile·
@haider1 going further… “prediction” seems fundamental to all living things (in many different biochemical, sensorial, etc. forms), acting as a function of survival we’ve created machines and software that predict because the ability to predict = the ability to survive
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Haider.
Haider.@haider1·
Sam Altman says a line from Ilya Sutskever that stuck with me: "prediction is very close to intelligence" If a system can compress the world into a smaller representation and predict what comes next, it starts to understand the data in a deep way That's the bet behind generative models
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Li Mengbai
Li Mengbai@lvjin1993·
原来风力发电机是这样上去的~
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MathsWith Sam
MathsWith Sam@Sam_Axiom·
General Theory of Relativity. Part - 1
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东篱
东篱@DongLi64670501·
牛马的细分! #社会观察
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Mario Nawfal
Mario Nawfal@MarioNawfal·
Two Amazon robots got stuck in an aisle, spending what appears to be an eternity shuffling back and forth because neither one could figure out who should move first. This is what happens when you forget to teach a $200,000 robot to say "no, after you."
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大变活人
大变活人@seanwei001·
在沙漠的严酷寂静中,大自然最致命的猎手之一——蜘蛛尾角蝰蛇——伪装大师。 这条毒蛇进化出了一个尾巴,尾端长着看起来完全像蜘蛛腿的鳞片。它像活蜘蛛一样摆动尾巴,为头顶飞过的鸟制造出完美的陷阱。 鸟儿被看似轻松的猎物吸引,俯冲而下,却反倒成了猎物。生存属于最聪明的捕食者。
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Amazing Nature
Amazing Nature@AmazingNature00·
In northern Japan and the forests of China, you can see these flowers that appear normal but whose petals become transparent upon contact with water. Its common name is skeleton flower or crystal flower; its scientific name is Diphylleia grayi.
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The Sci-Tech Guy
The Sci-Tech Guy@theSciTechGuy·
This so-called “Drinking Milkcap” is a unique mushroom capable of storing dozens of liters of water underground, forming a natural reservoir that allows it to survive the summer heat.
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瞎玩菌
瞎玩菌@Blind___Gamer·
华容道的拓扑密码:滑块谜题的节点网络与结构真相
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Massimo
Massimo@Rainmaker1973·
Common Baron caterpillars are camouflage experts like no other. They quite literally become one with the leaf.
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Massimo
Massimo@Rainmaker1973·
Researchers have found a way to let the human brain see an entirely new color. A team at the University of California, Berkeley, has achieved what was long considered impossible: the discovery of “olo,” a color that lies completely outside the natural human visual spectrum. Using a revolutionary technique called Oz, scientists deployed high-precision lasers to target and stimulate thousands of specific medium-wavelength cone cells in the retina. By bypassing the usual overlap in how our eyes process light, they created a pure, unprecedented signal that the brain had never encountered before. The result is a hyper-saturated blue-green hue that participants described as strangely alien yet breathtakingly beautiful. For now, experiencing olo is only possible in a tightly controlled lab setting. Subjects must remain perfectly still while receiving carefully calibrated laser “microdoses” directly to their retinas. Though the effect is temporary, the breakthrough is profound. Researchers believe this technology could one day help treat color blindness and potentially unlock the ability for humans to perceive millions of additional colors. More importantly, it proves that our brains are far more capable of processing new sensory information than previously thought — revealing a hidden world of color that exists just beyond the limits of natural human vision. [Fong et al. (2025). "Novel color via stimulation of individual photoreceptors at population scale." Science Advances, 11(16), eadu1052. DOI: 10.1126/sciadv.adu1052]
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SciTech Era
SciTech Era@SciTechera·
Reminder China has developed a new kind of coal battery that generates electricity without burning coal. The system, called a zero-carbon emission direct coal fuel cell (ZC-DCFC), was developed by a team led by Xie Heping. It converts coal directly into electricity using electrochemical reactions instead of traditional combustion. In this process, coal is pulverised, dried, purified and fed into the anode of the fuel cell. Oxygen is supplied at the cathode, and reactions across an oxide membrane generate electricity directly without steam, turbines, or thermal conversion losses. At the same time, high-purity carbon dioxide is captured at the source and converted into useful products such as synthesis gas or mineral compounds like sodium bicarbonate, rather than being released into the atmosphere. Fossil fuels like coal still form the backbone of global energy systems. Current technologies such as Integrated Gasification Combined Cycle reach around 45% efficiency and emit over 800 grams of CO₂ per kilowatt-hour. Traditional coal power plants are further limited to about 40% efficiency due to the Carnot cycle. By eliminating combustion and heat based conversion, the ZC-DCFC offers significantly higher theoretical efficiency 👀 The team has been working on this concept since 2018, making key advances in high-performance materials, fuel treatment, and electrode design. While the technology is still in early stages and may not become cost competitive until after 2045, it represents a major shift in how coal can be used. Acceleration is everywhere
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SciTech Era@SciTechera

This is insane. This Chinese battery can run on coal 🤯! China has developed a new kind of “coal battery” that generates electricity without burning coal. The system, called a zero-carbon-emission direct coal fuel cell (ZC-DCFC), was developed by a team led by Xie Heping. It converts coal directly into electricity using electrochemical reactions instead of traditional combustion. In this process, coal is pulverised, dried, purified, and fed into the anode of the fuel cell. Oxygen is supplied at the cathode, and reactions across an oxide membrane generate electricity directly without steam, turbines, or thermal conversion losses. At the same time, high-purity carbon dioxide is captured at the source and converted into useful products such as synthesis gas or mineral compounds like sodium bicarbonate, rather than being released into the atmosphere. Fossil fuels like coal still form the backbone of global energy systems. Current technologies such as Integrated Gasification Combined Cycle reach around 45% efficiency and emit over 800 grams of CO₂ per kilowatt-hour. Traditional coal power plants are further limited to about 40% efficiency due to the Carnot cycle. By eliminating combustion and heat based conversion, the ZC-DCFC offers significantly higher theoretical efficiency 👀 The team has been working on this concept since 2018, making key advances in high-performance materials, fuel treatment, and electrode design. While the technology is still in early stages and may not become cost competitive until after 2045, it represents a major shift in how coal can be used. Acceleration is everywhere!

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张诺诺
张诺诺@nuonuo888999·
让磁场具像化,看得见。
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