Ko’pchilik quant roleni yaxshi tushunmayapti. Bu tabiiy, chunki o’rta osiyoda bu soha umuman taniqli emas. Sababi bu soha uchun ish yo’q. Lekin boshqa davlatlarda bunga talab katta. Screenshotni o’qing

Hamma dasturchi orziqib kutsa kerak bu vaziyatni 👀🤣

Government - the most stable one: 99.87%
We get 99.05%

Guess who “pays” more

I guess most of you already know that one of my brothers was recently accepted to MIT, the #1 university in the world.

Kanal ochgan ekan, qo’shilib olinglar 😉

Yay, Asadullo just landed a solid offer in SF

Toshkentlik emassan…

Yuqoridagi postim maqtanishdek tuyulgan bo'lishi mumkin. Lekin maqsadim oddiy - imkoniyat borligini ko'rsatish. Agar meni osmon bo’ladigan inson deb o’ylasangiz davomini o’qing!

Namanganlik do'stimning mashinasini 9 kun Toshkentda haydadim. Oynalari qoraytirilmagan, “achichuk” raqamli va albatta 50. Natija? Qo'shnilardan “hech bo’lmasa за рулем ташкентский deb yozib ol” kabi dakkilar. Ko'chada behurmatlik… Mening IT do'stlarimning 80-85%i vodiy va viloyatlardan. Eng tirishqoq, eng motivatsiyali odamlar. Ular Toshkentga o'qish yoki ish uchun kelgan. Ular qanchadan qancha muvaffaqiyatga erishgan.

Lekin… Lekin, Toshkent ularni qabul qilmayapti.

Bunday insonlar fikrlashi tor. Agar ular bu dunyo qanchalik katta va inson shu masshtabda qanchalik kichkina ekanligini anglashsa, boshqacha yashashni boshlashardi. Bu shunchaki achchiq haqiqat emas. Bu bizning rivojlanishimizni sekinlashtirayotgan “kasallik”. Barcha joyda aqlli va ahmoq, farosatli va farosatsiz odamlar bor. Toshkent istisno emas! Shunday ekan - kelinglar barchani birdek qabul qilamiz.

Yoshligimizdan esda qolgan Leopold mushukning gapi:

"Kelinglar, do'st bo'lib yashaymiz!"

tl;dr: AI researcher (EBM), $225k–$350k+ plus equity, San Francisco

So, we’re hiring researchers for a startup building reasoning AI. Which is not uncommon per se, but here’s the situation:

💖 Founding Chair — Yann LeCun, Turing Award laureate and godfather of AI
💜 Chief Mathematician — Michael Freedman, Fields Medalist
💛 10 PhDs and six ICPC medalists on the team
💚 Founder is a quantum physicist from Berkeley who wrote her PhD under the 2025 Nobel laureate.

Bir nechta tanishim shu kanal orqali zo’r ishlar topishdi. ML pozitsiyalar qidirish uchun zo’r joy. 🚀💼

Ru: https://t.me/hrlunapark
En: https://t.me/lunapark_en

Бро короче есть компания higgsfield и они мне дали оффер на мл щика.

Ohirgi vaqtlar shunaqangi yangiliklarni ko’p oladigan bo’ldim. Shunaqa darajada energiyaga to’laman yaqin do’stlarim yaxshi natijalarga erishsa tassavvur ham qilolmaysizlar.

Sal avvalroq Temur Qatar Airwaysda, yaqinda esa Asilbek MIT, Asadullo SF dan yaxshi startupga…

Xullas, o’qinglar, izlaninglar, hammasi zo’r bo’ladi! 🔥


Yana bir gap. Do’stni yomon kunda emas, yaxshi kunda ham sinash mumkin. Yomon kunda birga bo’lish oson, lekin yaxshi kunda hursandchilikka sheriklik hammaga ham emas :)

Windows XP wallpaper, Tashkent edition. Bonus feature: me included 😛

Ha, Tashkent ham go’zal.

Biroz kayfiyat ko’tarish uchun 🤓

Maktab darsliklarini tuzishni shu kanalga berish kerak.

ICML 2026. Paper Accepted 👀

I can’t take much credit for it though. I only helped. But still feels good.

Quantitative Developer’s Handbook

Yaxshi resurs topolmagandim, o’zim o’rganib yozishga qaror qildim.

Part I is already here.

@UlushaHive

Qizlar o’rtasida ham dasturlashning intensiv turi ancha rivojlanib qoldi 🫶🏻

Qizlarga motivatsiya o’rnida aytib o’taman: ICPC ga Uzb nomidan finalga chiqqan yagona jamoaning bir a’zosi qiz bola bo’lgan!

Bu olimpiadalar ancha osonroq, chunki musobaqa faqat qizlar o’rtasida. Bu esa mushaklar emas balki miyya baxsidir. Shuning uchun qizlar umumiy musobaqalarda ham yaxshi natijalarga erishishiga ishonaman va kutib qolaman!

Hozirgi olimpiadachilar uchun karyera imkoniyatlari huddi Shanghai Tower liftida ko’tarilishga o’xshaydi.

Yaxshi, men ham dinozavrga aylanishimdan avval harakat qilib qoldim :)

Hackathonda qatnashgim kelgandi, insofing bormi deb mentor qilib qo’yishdi 🥲

Makbuk tarqatamiz degan EdTech AI Hackathondan lavha:

The point is that turning something good into something perfect barely helps you. Fixing what you're genuinely bad at is where the real gain is. But most of the time people chase the opposite tyring to perfect their strengths dodging their weaknesses. I used to be like that.

These last few years I changed my strategy and went wide instead, working on many useful skills over one perfect thing. Try many things and just put max effort into them within a limited time. That's gonna be more than enough. Remember Parkinson's Law.

We only live once…

A week ago got little bored again so now making a game 👀

Asosiy skelet tayyor va ishlayapti. Levellarini qo’shib sayqallasam, keyin app storega joylab share qilaman.

Kutamiz 😊