Nasihat Warren Buffett untuk anak-anaknya:
1. Beli rumah cepat, mobil murah saja.
2. Barang jangka panjang, pilih yang mahal dan awet.
3. Jangan kerja dengan keluarga atau teman.
4. Rajin olahraga.
5. Lebih baik buka bisnis sendiri.
6. Kuasai public speaking.
7. Biasakan mandiri dan sendiri.
8. Pilih kerja dengan komisi, bukan gaji tetap.
En 1994, un científico afirmó haber descifrado el código de la realidad.
12 horas después desapareció para siempre.
Nadie lo volvió a ver.
El caso más perturbador de la ciencia moderna 🧵
STANFORD'DA BİLGİSAYARLARI KAPATTIRAN O CÜMLE
Efsanevi yapay zeka profesörü Andrew Ng, Stanford'daki dersine şu sözle başladı ve sınıftaki öğrencilerin yarısı bilgisayarını kapattı:
“Önümüzdeki 10 yılda kazananları kaybedenlerden ayıracak yeteneğin, iyi kod yazmakla hiçbir ilgisi yok.”
Neden mi? Çünkü yapay zeka sayesinde artık herkesin sınırsız bir üretim gücü var. Günümüzde darboğaz "nasıl yapılacağı" değil, "neyin yapılmaya değer olduğu." Yanlış bir problemi kusursuzca kodlayanlar, doğru problemi yarım yamalak çözenlerin tozunu yutacak.
Peki neyin yapılmaya değer olduğunu nasıl bulacağız? Andrew Ng'nin bunun için "Acımasız 3 Adımlı Filtresi" var:
• 1. Filtre: Gerçekten kimin umurunda? Sadece size "havalı" gelen projelere aşık olmayın. İnsanların para ödeyeceği veya her gün kullanacağı gerçek bir dert çözüyor musunuz?
• 2. Filtre: Yapay zeka buna tek atabilir mi? Sıradan bir chat botuna yazılacak tek bir komutla (prompt) çözülebilen bir işe vakit kaybetmeyin. Asıl değer; yapay zeka ile sizin sektörel bilginizin ve özel verilerinizin kesiştiği yerdedir.
• 3. Filtre: 7 günde yayına alabilir misin? (En önemlisi) Altı ay gizlice "mükemmel" ürünü geliştirmeye çalışanlar her zaman kaybeder. Geleceğin kazananları; utanç verici, çirkin ama "çalışan" bir versiyonu hızla piyasaya sürüp eleştirilerle büyüyenlerdir.
Mükemmeliyetçiliği unutun. Şu anki oyunun kazananları en temiz kodu yazanlar değil; doğru problemi bulup, rakipleri daha düşünme aşamasındayken o "çirkin" ilk versiyonu çoktan piyasaya sürenlerdir.
What is time, really? ⏱️
A new theoretical study in @PhysRevLett suggests next-generation trapped-ion optical clocks could experimentally reproduce things like the superposition of proper times and time-dilation-induced entanglement.
🔗 https://t.co/SI7tvkBsXn
A Persian scholar finished a single math book in 9th century Baghdad that quietly became the foundation for every line of code running on Earth today.
I started reading about him at midnight and could not believe how many things in my daily life trace back to one man.
His name was Muhammad ibn Musa al-Khwarizmi. The book is called The Compendious Book on Calculation by Completion and Balancing.
Every time you say the word algebra, you are saying his book title. Every time someone says the word algorithm, they are saying his name. Both English words come from him. Both are Latin transliterations of Arabic and of his own identity. The man did not just contribute to mathematics. He named it.
Here is the part almost nobody tells you.
Al-Khwarizmi was born around 780 CE in Khwarazm, in what is now Uzbekistan. He moved to Baghdad and worked at a research institution called the House of Wisdom, which during the Islamic Golden Age was the single most important center of learning on the planet. The caliph al-Mamun hired the best mathematicians, astronomers, and philosophers from across three continents and put them in one building with one job. Translate, study, and produce new knowledge.
Al-Khwarizmi finished his book on algebra around 820 CE. The Arabic title contained the word al-jabr, which referred to one of the two operations he used to solve equations. When the book was translated into Latin in the 12th century, the Latin world did not have a word for what he had built. So they kept his Arabic word. Al-jabr became algebra. The discipline was named after a single Arabic word in the title of a single book by a single man.
The deeper insight is what he actually changed about how humans think.
Before al-Khwarizmi, mathematical problems were solved geometrically. You drew shapes. You measured them. You compared areas. The Greeks had built an entire mathematical tradition on visual proofs and physical constructions. It was beautiful and limited. You could not solve a problem you could not draw.
Al-Khwarizmi did something nobody had done before him at this scale. He said you could solve any problem using abstract symbols and rules. You did not need a shape. You needed a procedure. You moved terms across the equation. You cancelled like terms on both sides. You isolated the unknown. He invented the idea that mathematics is a manipulation of symbols according to rules, not a study of physical figures.
That single shift made everything that came afterward possible. Calculus. Differential equations. Linear algebra. Quantum mechanics. None of it works if math is locked inside geometry. He pulled it out.
The second thing he did is the one that changed how the world counted forever. He took the Hindu numeral system from Indian mathematics, refined it, and wrote a book introducing it to the Arab world. That system included the concept of zero as a placeholder, and a positional notation where the value of a digit depends on its location. Roman numerals could not do complex calculation. Hindu-Arabic numerals could.
When his book on numerals was translated into Latin as Algoritmi de numero Indorum, the word Algoritmi was just the Latin spelling of his own name. Europeans started calling the new method "doing algorism," then "running an algorithm." The word for the most important concept in computer science is literally his name in Latin.
The third thing he did is the part that should haunt anyone who works in tech.
His method of solving problems was systematic. Step one, do this. Step two, check that. Step three, if condition A, then do X, otherwise do Y. He wrote down procedures that could be followed by anyone, anywhere, who knew how to read. The procedure did not depend on intuition or genius. It worked because the steps worked.
That is exactly what an algorithm is. A finite, deterministic procedure for solving a problem. He did not just give us the word. He gave us the entire concept of programming a thousand years before there was anything to program.
When Alan Turing built the first abstract model of computation in 1936, when John von Neumann designed the first stored-program computer in 1945, when every engineer at Google, OpenAI, Anthropic, and DeepMind writes code in 2026, they are working in a paradigm that started with one man in Baghdad twelve centuries ago.
The strangest part is what happens when you walk into any tech office in San Francisco or Bangalore or Lahore today. Engineers say the words algebra and algorithm hundreds of times a day. They do not know whose name they are saying. Almost nobody can spell al-Khwarizmi correctly on the first try.
His original Arabic manuscript is preserved at Oxford. His book on Hindu numerals survives only in Latin translation. The Latin version was the textbook that taught medieval Europe how to count.
The man who built the foundation of the AI revolution did not live to see a calculator. He died around 850 CE, a thousand years before the first electric current was sent through a wire. The civilization he built mathematics for collapsed. The library he wrote in burned. His own grave is unmarked.
But every algorithm running on every machine on Earth right now still answers to his name.
@AhmadBaybordi وقتی که حقوق اعضای هیئت علمی یک دانشگاه حداقل 5 برابر میانگین حقوق کارکنان آن دانشگاه باشد، کارکنانی که اکثراً دارای تحصیلات تکمیلی هستند و فقط چون رانتی نداشتند و یا در مصاحبه جذب با آن معیارهای عجیب پذیرفته نشده اند، کارمند مانده اند. سازمان برنامه باید جلوی این ظلم بایستد.
ازاله بکارت دانشجویان تهران
سال ۱۳۴۰، چهار هزار نفر از دانشجوهای تهران به خاطر تعطیلی بیستمین مجلس شورای ملی جلوی دانشگاه تجمع کردند. برای اینکه این تجمع جمعوجور بشه، سروان منوچهر خسروداد رو به عنوان فرمانده عملیات انتخاب کردند تا به ماجرا پایان بده.
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روشی که ابوریحان بیرونی برای محاسبهی شعاع کره زمین در 1000 سال پیش استفاده کرده در مستندی که BBC ساخته و موجب اعجاب مستند ساز و محققین گشته.
و تصویر کناری، مقبره ابوریحان در غزنه افغانستان.
مبارکِ حامیان جنگ!
صاحبِ سوپرمارکت محله دیشب از هجوم اهالی برای خرید شمع، آبمعدنی و نوارچسب پهن خبر میداد!
شمع برای احتمال قطع برق، آب معدنی برای احتمال قطع آب و نوارچسب پهن برای چسباندن آنها به روی شیشه های منزل در صورت حملۀ نظامی آمریکا!
این نوع خریدها علاوه بر آنکه نشانۀ اضطراب مردم و تأثیرپذیری آنها از تبلیغات رسانهای در بارۀ قریبالوقوع بودن جنگ است، درک آنها از عوارض و عواقب جنگ را هم نشان میدهد!
طبق این درک عمومی، قرار نیست با جنگ نقل و نباتی خیرات شود و کسی به راحتی از تخت حکومتداری به زیر آید و دیگری به راحتی بر تخت بنشیند! قرار است آب و برق قطع شود و شیشۀ منازل بر اثر موج انفجار بمبهای آمریکایی از هم بپاشد و به سر و روی ساکنانش پاشیده شود!
مبارکِ حامیان جنگ!
@babakzanjani3 @DotOne_channel استاد عزیز لطف کن توضیح بده با چه ترفندی با وجود محکومیت، شرکت تاسیس کردی و هزاران نفر را مشغول کردی و الان هم به دنبال تاسیس واحد آموزشی مختص خود هستی؟!؟
@babakzanjani3 @DotOne_channel جناب ب. ز. شما خودت غنی ترین واحد آموزشی زنده و متحرک ایران هستی. اول بیا آموزش بده چطور از راننده رییس بانک مرکزی در عرض ده سال به یکی از سرمایه داران ایران تبدیل شدی!؟ دوم بفرما چگونه تحریم ها را دور میزدی و سوم چطور با وجود محکومیت و اگر اشتباه نکنم حکم اعدام، آزاد هستی و...
امارات: ۵۴ سال
اسرائیل: ۷۷ سال
ترکیه: ۱۰۲ سال
ایالات متحده آمریکا: ۲۴۹ سال
سوئیس: ۷۳۴ سال
انگلستان: ۱۰۹۷ سال
روسیه: ۱۱۶۳ سال
فرانسه: ۱۱۹۷ سال
ژاپن: ۲۶۸۵ سال
یونان: ۲۸۲۵ سال
چین: ۴۰۹۵ سال
ویتنام: ۴۹۰۴ سال
مصر باستان: ۵۱۷۵ سال
«کهنترین کشور زنده جهان؛ ایران: ۵۲۲۵ سال»
گندهگویی کشورهای۷۷ ساله و ۲۴۹ ساله برای یک ملت ۵۲۲۵ ساله،از برتری تاریخی نیست؛
نتیجه بیتوجهی مسولین به «توسعه»، «اقتصاد» و «آموزش» و عدم تلاش موثر ملت در صد سال گذشته بوده است.
اما با همین امکانات کم هم محکم تر از دیگرانیم.
#بابکزنجانی #داتوان
@forallcurious “I remember this moment, going into the map and looking at one individual synapse from this woman’s brain, and then zooming out into these other millions of pixels,” said Viren Jain, a senior scientist at Google, in Nature Magazine.
“It felt sort of spiritual.”
Stanislaw Ulam invented the Monte Carlo simulation in 1946 while recovering from an illness and playing solitaire, realising that statistical sampling was easier than calculating complex probabilities.
He collaborated with John von Neumann to develop the method, which was named by Nicholas Metropolis after the Monaco casino.