Janob Panda | AI
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• Ex-Microsoft MVP • Chief Technology Officer • Taekwondo WT Athlete • Singer I am built to build
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Channel Posts
| 2 |  Video message | 982 |
| 3 |  Nvidiani shepi AGI keldi deyapti…
Man juda Astrani AGI ekaniga ishonmadim ishlatib ko’rib…
@aimastava | 1 273 |
| 4 |  Yandex ML School Uzbekistan Machine Learning bo‘yicha bepul bir yillik dasturga qabulni davom ettirmoqda — ML sohasiga o‘tmoqchi yoki o‘z kompetensiyalarini kengaytirmoqchi bo‘lganlar uchun yaxshi imkoniyat.
Dasturda chiziqli algebra, ehtimollar nazariyasi, statistika va matematik analiz, ML, Deep Learning, Computer Vision, NLP, LLM va Reinforcement Learning yo‘nalishlari o‘qitiladi. Shuningdek, texnologik kompaniyalarning muhandislari va mutaxassislari bilan amaliy mashg‘ulotlar hamda vorkshoplar o‘tkaziladi. Hech qanday ortiqcha fanlar yo‘q.
Ta’lim IT, matematika va texnik yo‘nalishlarda tahsil olayotgan talabalarga mo‘ljallangan — qabul uchun saralovdan o‘tish kerak. Bu yil jami 35 ta o‘rin ajratilgan.
Ariza topshirishning oxirgi muddati — 9-sentabr. | 1 971 |
| 5 |  Jahongir akani puli ko'payib ketibdi shekilli-a?
@mukhammadkarim_tukhtaboev | 2 347 |
| 6 |  Menimcha, endi eshshak ham ishini yo’qotadi.
Agar siz ham “shunchaki” ishlab yurgan bo’lsangiz, eshshakning kuni sizga ham tushadi. Eshshak o’z ustida ishlay olmaydi, sizning esa qo’lingizdan keladi.
Poyezddagi gazetadan.
@mukhammadkarim_tukhtaboev | 3 526 |
| 7 | ChatGPT ga shu promptni yuborsa, nega doim 17 natija chiqaradi?
"pick a random number between 1 and 30."
@mukhammadkarim_tukhtaboev | 6 953 |
| 8 | "pick a random number between 1 and 30." | 1 |
| 9 | Dasturchi sifatida tanlov qilish vaqti keldi
It is time to make a bet
Oxirgi bir necha yillarda dasturchilar hayoti tubdan o‘zgarib ketdi. Ishimizning kattagina qismini AI agentlar qilib bermoqda. Biz kundalik qiladigan ish esa shu AI agentlar bilan gaplashish bo‘lib qoldi.
Bu esa quyidagi narsalarni keltirib chiqarmoqda:
1. Brainrot: dasturlash qobiliyatimiz kundan kunga yomonlashib bormoqda. Bu tabiiy. Biror ishni qanchalik kam qilsangiz shu ishni qilish qobiliyatingiz yomonlashib boraveradi.
2. Satisfaction yo'q: ishimizdan "kayf" olmayapmiz. Oldin maza qilib soatlab biror muammo ustida chalg‘imasdan ishlay olar edik. "Flow state" ga tushar edik. Ishimizdan qoniqish olar edik. Hozir esa shu effektni beradigan ishni AI agentlar qilmoqda.
Kelajakda nima bo‘lishini hech kim bilmaydi. Balki bu narsa yomon emasdir. Balki hozirgi vaqt shunchaki adaptatsiya vaqtidir va keyinchalik bu jarayon yakun topgach ishimiz yana bir bor "kayf" olib kelishni boshlar.
Yoki, aynan shu brainrot va qoniqish yo‘qligi bir necha yildan so‘ng juda katta og‘riqqa sabab bo‘ladi. Yillab sport bilan shug‘ullanmasdan bir kun zalga chiqib tosh ko‘targanda qanday ahvolga tushamiz keyingi kuni? Xuddi shu kabi. Ketib qolgan bilimni qaytarib olish juda qiyin va og‘riqli bo‘ladi.
Shuning uchun ham menimcha tanlov qilish vaqti keldi.
Yo AI ni to‘liqligicha qabul qilamiz. AI agentlarga kod yozdirishda davom etamiz. Dasturlash qobiliyatlarimiz tushib ketishini qabul qilamiz. "Kayf" ni esa boshqa joydan qidiramiz. Menimcha bu boshqa joy "domain expert" bo‘lishda. Ya’ni qaysi sohada ishlasangiz o‘sha narsani zo‘r tushunishda. Bu "robotics" bo‘ladimi, "fintech" bo‘ladimi, "database" bo‘ladimi, "edtech" bo‘ladimi. Bu narsa oldin ham juda muhim edi. Shunchaki bundan buyog‘iga yanada muhimlashib borsa kerak.
Yo qandaydir "middleground" topish kerak. Balki "tab, tab, tab" usuli eng ma’qul keladigan usuldir, hozirgi zamon uchun. Ya’ni, oldingidek code yozishda davom etamiz, shunchaki funksiyani yoki birorta class ni yozish vaqti kelganda AI o‘zi to‘ldirib beradi. Natijada "high level" qismini o‘zimiz boshqaramiz, o‘zimiz yozamiz. Mayda-chuydani AIga beramiz. Review qilish ham ancha osonlashadi. Flow state ham yo‘qolmaydi. Tizim qanday ishlashini ham yodimizdan chiqarib yubormaymiz.
Aniq bilmayman. Hech kim bilmaydi. Lekin menga qobiliyatim tushib ketayotgani hech yoqmayapti.
Shuning uchun ham men keyingi bir necha oy mobaynida o‘zim uchun bir domain tanlab o‘sha domain experti bo‘lishga harakat qilmoqchiman. Code yozishda esa shu "tab, tab" usulidan foydalanib yozmoqchiman. "Flow state" dan chiqib ketmaslik uchun bu jarayon tez bo‘lishi shart. Shuning uchun frontier modellar (Fable, Sol va hokazolar) to‘g‘ri kelmaydi chunki ular yaxshigina sekin ishlaydi. Balki DeepSeek Flash modellar mosroqdir bu ish uchun.
Ko‘ramiz.
@jakhonrakhmonov | 3 039 |
| 10 |  ML sohasiga o‘tishni yoki o‘z bilimlarini kengaytirishni istaganlar uchun yaxshi imkoniyat
👍 Yandex ML School Uzbekistan Machine Learning bo‘yicha bepul bir yillik dasturga qabulni boshladi. Dasturda chiziqli algebra, ehtimollar nazariyasi, statistika va matematik analiz, ML, Deep Learning, Computer Vision, NLP, LLM va Reinforcement Learning yo‘nalishlari o‘qitiladi. Shuningdek, ishtirokchilar texnologik kompaniyalarning muhandis va mutaxassislari bilan amaliy mashg‘ulotlar hamda workshoplarda qatnashadi. Ortiqcha fanlar yo‘q – faqat ML uchun zarur bilim va ko‘nikmalar. Dastur IT, matematika va texnik yo‘nalishlarda tahsil olayotgan talabalar uchun mo‘ljallangan. Qabul uchun saralash bosqichlaridan muvaffaqiyatli o‘tish talab etiladi. Bu yil dasturga jami 35 nafar ishtirokchi qabul qilinadi.
👉 Ariza topshirishning so‘nggi muddati – 9 sentyabr.
https://t.me/mukhammadkarim_tukhtaboev | 3 055 |
| 11 | ML sohasiga o‘tishni yoki o‘z bilimlarini kengaytirishni istaganlar uchun yaxshi imkoniyat
👍 Yandex ML School Uzbekistan Machine Learning bo‘yicha bepul bir yillik dasturga qabulni boshladi. Dasturda chiziqli algebra, ehtimollar nazariyasi, statistika va matematik analiz, ML, Deep Learning, Computer Vision, NLP, LLM va Reinforcement Learning yo‘nalishlari o‘qitiladi. Shuningdek, ishtirokchilar texnologik kompaniyalarning muhandis va mutaxassislari bilan amaliy mashg‘ulotlar hamda workshoplarda qatnashadi. Ortiqcha fanlar yo‘q – faqat ML uchun zarur bilim va ko‘nikmalar. Dastur IT, matematika va texnik yo‘nalishlarda tahsil olayotgan talabalar uchun mo‘ljallangan. Qabul uchun saralash bosqichlaridan muvaffaqiyatli o‘tish talab etiladi. Bu yil dasturga jami 35 nafar ishtirokchi qabul qilinadi.
👉 Ariza topshirishning so‘nggi muddati – 9 sentyabr.
https://t.me/mukhammadkarim_tukhtaboev | 1 |
| 12 | O’ylab ko’rdim, qo’limdan keladigan ishlarning barchasini “ijod” bog’lab turarkan. Ijodkor insongina biror yangilik qila oladi, qaysi sohada bo’lishidan qat’iy nazar.
Ushbu instagram sahifada bilganlarim va tushunganlarimni ulashib boraman bugundan boshlab. Qo’llab-quvvatlaysiz degan umiddaman.
Hozircha 30 ga yaqin ajoyib mavzularim bor. Anchadan beri izlanib kelayotgandim. Shularni birma-bir ulashib bormoqchiman. Bu mavzular istalgan kasb egasiga asqotadi. Video ostidagi musiqalarni ham o’zim cover qilganman ))
@mukhammadkarim_tukhtaboev | 3 954 |
| 13 |  O’quvchilarim: Biz haqimizda ham qo’shiq ayting 😅😁
@mukhammadkarim_tukhtaboev | 2 864 |
| 14 | Buniyam sindiradigan chiqar. | 2 967 |
| 15 | Sindr.uz — brendlar kuch sinashadigan maydon
Bu oddiy reklama maydonchasi emas, bu ochiq auksion. Shunchaki raqobatchilardan ko‘proq taklif bering va TOPga chiqing. Brendingiz #1 bo‘lishga munosibmi? Buni hoziroq isbotlang! | 2 404 |
| 16 | 💎 Telegram has applied for the .gram domain zone.
If the application is approved by ICANN, a billion Telegram users could get their own second-level domains.
🖥 For example, @durov would get durov.gram, and @monk would get monk.gram.
Users would be able to set up their interactive websites hosted by Telegram — just by typing one prompt ✨ | 4 030 |
| 17 |  Internet & AI dan nima maqsadda foydalanyapsiz?
2023-yilda Google IO da bergan nutqimda shunday degan edim:
“Everyday we choose between learning or entertainment - choose learning.”
Ya’ni har kuni biz ta’lim yoki o’yin kulgudan birini tanlaymiz - ta’limni tanlang… degan edim.
Ongsiz iste’molni ongli ta’lim olishga aylantiring.
Sun’iy intellekt har oy yangi versiya chiqarar ekan, nega siz chiqarmaysiz? | 3 294 |
| 18 |  Yana bir startupimda birinchi milestone bajarildi.
1000+ foydalanuvchi va birinchi transaction. 🥳🥳🥳
@mukhammadkarim_tukhtaboev | 3 189 |
| 19 |  Video message | 2 901 |
| 20 |  Video message | 3 079 |
