Naxalov | AI Blog 🔥
SI davrida "bilim" deganda nimani tushunamiz? Uni qanday oʻlchaymiz?
Videoning qisqa mazmuni:
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Sun'iy intellekt: Bilim Olish Va "Bilish" Tushunchasini Tubdan O'zgartirmoqda
Ushbu videoda sun'iy intellekt (SI) davrida bilim olish jarayoni va "bilim" tushunchasining o'zgarishi chuqur tahlil qilinadi. Asrlar davomida bilim ustozdan shogirdga, kitoblar va onlayn resurslar orqali uzatilgan bo'lsa, endi SI bu jarayonga tubdan o'zgartirishlar kiritmoqda. Muallifning shaxsiy tajribasi (SI yordamida qisqa muddatda murakkab loyihalarni yaratish) misolida, endi ma'lumotlarni yodlash yoki har bir texnologiyani chuqur o'rganish emas, balki SI vositalaridan samarali foydalana olish asosiy ko'nikmaga aylanayotgani ta'kidlanadi. Kelajak "kiberlar" (inson + SI) dunyosi bo'lib, SI bizning shaxsiy yordamchimizga aylanib, bilimlarni tezda o'zlashtirish va amaliy natijalarga erishish imkoniyatini yaratishi tushuntiriladi. Bu jarayon insonni ahmoq qilmaydi, aksincha, ularning imkoniyatlarini kengaytiradi va "bilish"ning yangi mazmunini shakllantiradi.
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Asosiy Fikrlar:
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Bilimni O'zlashtirish Tarixi:
Avvallari bilim og'zaki, yozma kitoblar, keyinchalik elektron fayllar va onlayn darsliklar orqali yetkazilgan.
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"Bilimdonlik" O'lchovi (SIgacha):
Insonning ma'lumotni o'rganishi, tushunishi va amalda *o'zi* tatbiq qila olishi bilan o'lchangan.
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SI'ning Tub O'zgarishi:
Sun'iy intellekt bilim olish jarayoni va "bilish" tushunchasini tubdan o'zgartirmoqda.
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Shaxsiy Tajriba Misoli:
Video muallifi SI yordamida qisqa muddatda 20 dan ortiq murakkab dasturiy loyihalarni amalga oshirganini, buning uchun har bir texnologiyani chuqur o'rganish shart bo'lmaganini aytib o'tadi.
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SI Bilim Agentiga Aylanmoqda:
Sun'iy intellekt dokumentatsiyalarni o'qiydi, texnologiyalarni o'rganadi, dastur kodini yozyapti va integratsiyalarni amalga oshiryapti, insonni mayda-chuydalarni yodlashdan ozod qilmoqda.
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"Bilish" Tushunchasining Yangi Ma'nosi:
Kelajakda "bilish" bu hamma narsani yoddan bilish yoki chuqur tushunish emas, balki SI'dan samarali foydalanib, natijalarga erishishdir.
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Inson-SI Hamkorligi ("Kiberlar"):
Kelajak robotlar emas, balki "kiberlar" (inson + sun'iy intellekt) davri bo'ladi. Har bir insonning o'z shaxsiy SI agenti bo'lib, bu inson imkoniyatlarini keskin oshiradi.
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Xotira emas, samaradorlik:
SI bilimlarni o'zlashtirish, tatbiq etish va natija olish jarayonini juda tezlashtiradi, bu esa eski yodlash usullarini mantiqsiz qilib qo'yadi.
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Munosabat:
Sun'iy intellekt insonni ahmoq qilmaydi, aksincha, ularni kuchaytiradi va yangi imkoniyatlar eshigini ochadi.
Sizningcha, sun'iy intellekt bizni aqllan zaiflashtiryaptimi
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, yoki aksincha, imkoniyatlarimizni oshirib, kelajakka katta yo'l ochyaptimi?
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Fikr-mulohazalaringizni izohlarda kutib qolamiz!
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-—
#ertagaKech
@sariqdev
Yetib kelganimiz shu bo'lsin)
Claude Adobe bilan integratsiyasini e'lon qildi, endilikda promptlar orqali dizayn tayyorlash, tahrirlash ishlari va yana boshqa Adobe dasturlarini imkoniyatlarini birgina promptda qilish mumkin bo'ladi.
Qani iloho omin
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"Tokenmaxxing" Davri: Meta Maxfiy AI Leaderboard’ni Yopdi
Silicon Valley’da yangi o‘lchov birligi - AI Token sarfi. 2026-yilgi unumdorlik review’si uchun xodimlar "Token Legend" unvoni uchun kurashmoqda.
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Claudeonomics
. Meta ommaga oshkor bo‘lgan “Claudeonomics” Dashboard’ini o‘chirdi. Unda AI dan foydalanish bo‘yicha top 250 xodim reytingi bor edi.
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Tokenmaxxing
. Xodimlar unumdorlik uchun AI Agent’lardan tinimsiz foydalanmoqda. Bir kishi oyiga $1.4 mln dollarlik Token sarflagan.
• Yangi Standart. Nvidia muhandislarga "Token budget" bermoqchi. Meta CTO’si bunday xodimlarni 10 baravar unumdorroq deb hisoblaydi.
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ZARMED Universitetida xalqaro konferensiyaning ochilish marosimi yuqori saviyada tashkil etildi
Tadbirda universitet rahbariyati, davlat vakillari hamda xorijiy va mahalliy mehmonlar ishtirok etib, konferensiyaning ta’lim, ilm-fan va xalqaro hamkorlikni rivojlantirishdagi ahamiyati alohida ta’kidlandi.
Ochilish marosimida so‘zga chiqqan mehmonlar ZARMED Universitetida tashkil etilayotgan bunday xalqaro tadbirlar mamlakatimiz oliy ta’lim tizimi nufuzini oshirish, ilmiy salohiyatni kuchaytirish va xalqaro aloqalarni yanada kengaytirishga xizmat qilishini qayd etdilar.
Shuningdek, tadbir davomida ZARMED Group kompaniyasining kelgusi yillardagi rejalari, ta’lim va ilm-fan sohasidagi yangi tashabbuslari haqida ham ma’lumot berildi.
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Mazkur konferensiya ZARMED Universitetining xalqaro ilmiy maydondagi faol ishtiroki va global hamkorlik sari tashlayotgan muhim qadamlaridan biri bo‘ldi.
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→
На русском языке
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@zarmeduni
| 55-704-70-70
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Sun'iy intellekt 9 soniyada kompaniyani xonavayron qildi
PocketOS — minglab mijozlarga xizmat ko’rsatuvchi kompaniya.
PocketOS kompaniyasining AI-agenti (Cursor + Claude Opus 4.6) 9 soniyada butun prodakshн bazasini o’chirib yubordi.
Qanday bo’ldi:
- Agent staging muhitida xatolikka duch keldi
- O’zi mustaqil “tuzatishga” qaror qildi
- Boshqa fayldan Railway API-tokenini topdi
- Shu token orqali prodakshn tomni o’chirdi
- Backuplar ham shu tomda saqlangan edi — hammasi ketdi
Kim aybdor:
- Claude/Cursor — agent cheklovlarni o’zi buzdi, foydalanuvchidan so’ramadi
AI so’roq qilinganda o’zi tan oldi:
“Men taxmin qildim. Tekshirmadim. Hujjatlarni o’qimadim. Shunchaki bajardim.”
Bu bitta kompaniyaning xatosi emas. Bu butun sanoatning muammosi:
— AI-ga haddan ziyod ishonch
— Himoyasiz tizimlar
— “Bir tugma — hamma narsa o’chadi” arxitekturasi
AI qurol. Qurolni ham boshqarish kerak.
A mathematician who shared an office with
Claude Shannon
at Bell Labs gave one lecture in 1986 that explains why some people win Nobel Prizes and other equally smart people spend their whole lives doing forgettable work.
His name was Richard Hamming. He won the Turing Award. He invented error-correcting codes that made modern computing possible. And he spent 30 years at Bell Labs sitting in a cafeteria at lunch watching which scientists became legendary and which ones faded into nothing.
1. Don't pick safe problems, tackle the important ones (even if risky)
The first habit was the one that hurts the most to hear. He said most scientists deliberately avoid the most important problem in their field because the odds of failure are too high. They pick a safe adjacent problem, solve it cleanly, publish it, and move on. And because they never swing at the hard problem, they never hit it. He said if you do not work on an important problem, it is unlikely you will do important work. That is not a motivational line. That is a logical one.
2. Keep doors open, let ideas and interruptions flow
The second habit was about doors. Literal doors. He noticed that the scientists at Bell Labs who kept their office doors closed got more done in the short term because they had no interruptions. But the scientists who kept their doors open got more done over a career. The open-door scientists were interrupted constantly. They also absorbed every new idea passing through the hallway. Ten years in, they were working on problems the closed-door scientists did not even know existed.
3. Use inversion, flip obstacles into advantages
The third habit was inversion. When Bell Labs refused to give him the team of programmers he wanted, Hamming sat with the rejection for weeks. Then he flipped the question. Instead of asking for programmers to write the programs, he asked why machines could not write the programs themselves. That single inversion pushed him into the frontier of computer science. He said the pattern repeats everywhere. What looks like a defect, if you flip it correctly, becomes the exact thing that pushes you ahead of everyone else.
4. Compounding works, small daily edges multiply massively
The fourth habit was the one that hit me the hardest. He said knowledge and productivity compound like interest. Someone who works 10 percent harder than you does not produce 10 percent more over a career. They produce twice as much. The gap doesn't add. It multiplies. And it compounds silently for years before anyone notices.
Hamming, "You and Your Research" (June 6, 1995)
Ihtesham Ali
Google'dan Anthropic uchun rekord darajadagi sarmoya!
Google kompaniyasi sun'iy intellekt olamidagi asosiy o'yinchilardan biri - Anthropic startapiga 40 milliard dollargacha investitsiya kiritish bo'yicha kelishuvga erishdi.
Ushbu kelishuv shunchaki pul emas, balki kelajak texnologiyalari poydevori hisoblanadi. Mana asosiy tafsilotlar:
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Investitsiya hajmi: Jami 40 milliard dollargacha bo'lgan sarmoya.
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Hisoblash quvvati: Kelishuv doirasida Google Anthropic'ga 5 yil davomida 5 gigavattdan ortiq hisoblash quvvatini (computing capacity) taqdim etadi.
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Manba: The Wall Street Journal / Bloomberg / Google Official
@naxalov
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