o‘rganamiz, lekin amal qilmaymiz?

“Bilish oson, amal qilish qiyin” deyishadi.
Lekin nega? Axir bilganimiz foydaliku.
Nega bilar-bilmas kursga yozilamiz, lekin oxirigacha bormaymiz?
Kitobni o‘qiymiz, lekin hayotimiz o‘zgarmaydi?

Javob: majburiyat yo‘q.

Odam amal qiladi — faqat zarurat bo‘lsa.
Majbur bo‘lmasa, harakat qilmaydi.

•Dori ichmaymiz — og‘rimasa.
•Ishlamaymiz — ehtiyoj bo‘lmasa.
•O‘qimaymiz — natija darrov ko‘rinmasa.

Hayotda eng katta kuch — majbur qiladigan sabab.
Bu sabab har kimda har xil:

•Kimnidir ehtiyoj majbur qiladi.
•Kimnidir status.
•Kimnidir ishq.
•Kimnidir ustoz.
•Buyuklarni esa — vazifa/majburiyat.

Eslab qoling:

> Nimani muhim deb bilsak, o‘sha narsa bizni majbur qiladi.

Shuning uchun:
•Maqsadingiz bor, lekin harakat yo‘qmi?
•Bilasiz, lekin qilmayapsizmi?

Demak, sizni majbur qiladigan narsa hali topilmagan.
Toping. Va uni yo‘qotmang.
Shunda o‘qiganingiz amal bo‘ladi, o‘rganganingiz o‘zgarishga aylanadi.

@ladybytes

AI haqida chuqurroq

Yaqinda 2 soatgina vaqtimni Tim Urbanning AI haqidagi uzun postini o'qib tushunishimga sarfladim:) Shu maqoladan olgan ba'zi xulosalarimni bu yerga yozib ketishga qaror qildim.

Inson miyyasi haqiqatda hayron qolsa arziydigan san'at asari. Bizning miyyamizga taqlid qila oladigan kompyuter yaratish chindan juda qiyin, kosmosga chiqish, osmono'par binolar qurish hammasi juda osonligi bilan taqqoslaganda.

As of now, the human brain is the most complex object in the known universe.

Biz hozir ANI (Artificial Narrow Intelligence) erasidan AGI (Artificial General Intelligence) erasiga o'tish davridamiz va tabiiyki, inson miyyasi qobiliyatiga teng bo'ladigan kompyuter yaratish uchun uchun ham kuchli computer hardware/power kerak.

Moore’s Law is a historically-reliable rule that the world’s maximum computing power doubles approximately every two years, meaning computer hardware advancement, like general human advancement through history, grows exponentially.

Bir go'ya bor: shunday komputer yaratish kerakki, unda 2 ta asosiy ko'nikma bo'lsin: AI orqali research qila olsin va research xulosalaridan o'z arxitekturasini yaxshilab boradigan kod yoza olsin.

We’d teach computers to be computer scientists so they could bootstrap their own development. And that would be their main job—figuring out how to make themselves smarter.

Va so'nggi era ASI (Artificial Super Intelligence) va biz unga keyingi 10 yillikda yetib kelamiz...

Maqola bu yerda: https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html

@ladybytes

Me looking towards the bright future🌠

This week I got my admission results for the master's degree fully, which since a year I have been waiting the fruits of my hard work. Exactly a year ago, I started my prep for this journey. Along the way, I saw failures and successes, and I accept this as a default.
Now I have to choose between 2 programmes: AI in Sustainable Societies or Business Informatics. The latter is more interesting to me, but the first is also quite prestigious. So the choice is tough.
So which one do you recommend?

Я, смотрящая в светлое будущее🌠

На этой неделе я получила результаты поступления в магистратуру, которых ждала целый год — плоды моего упорного труда. Ровно год назад я начала подготовку к этому пути. За это время я столкнулась с неудачами и успехами и принимаю это как должное.
Теперь мне предстоит выбрать между двумя программами: «Искусственный интеллект в устойчивых обществах» и «Бизнес-информатика». Вторая мне более интересна, но первая — довольно престижная. Так что выбор непростой.
А вы что бы посоветовали?

@ladybytes

Oldies but Goldies

Yesterday, we gathered at Bon with the Behbudiy Community - it was such a warm round of ML friends. Khurshid aka suggested we watch the Hamming's lecture, and today I did just that. I want to share my summary here:

You have only one life - do something outstanding and significant.

Luck favors the prepared mind.

Do important work, and work with important people. (If what you are doing isn't important, then what on earth are you doing?) Nurture yourself with math, clear articulation, and confidence. Focus on solving important, high-value problems or don’t bother at all.

There’s a difference between confidence = a strong-willed mind and overconfidence = stubbornness. Whatever I do, I’m going to do it well.

Study successes, not failures. By studying successful cases, you learn how to succeed: what they did, how they did it, and whether you can adapt it to your own personality. Form your own style of life. Also, develop a tolerance for ambiguity, and welcome change.

Be somebody worth being.

Watch the lecture here
https://youtu.be/a1zDuOPkMSw?si=UQ83rz6b8GXUSkh8

@ladybytes

Ayol-qizlar uchun imkoniyatlar:

IT oromgoh

Startup Garage

@ladybytes

AGI Illusion
Apple research on AI Reasoning

Instead of using the same old math tests that AI companies love to brag about, Apple created fresh puzzle games.

They tested Claude Thinking, DeepSeek-R1, and o3-mini on problems these models had never seen before.

All "reasoning" models hit a complexity wall where they completely collapse to 0% accuracy.

No matter how much computing power you give them, they can't solve harder problems.

As problems got harder, these "thinking" models actually started thinking less.

They used fewer tokens and gave up faster, despite having unlimited budget.

The research revealed three regimes:

• Low complexity: Regular models actually win
• Medium complexity: "Thinking" models show some advantage
• High complexity: Everything breaks down completely

Most problems fall into that third category.

Apple discovered that these models are not reasoning at all, but instead doing sophisticated pattern matching that works great until patterns become too complex.

Then they fall apart like a house of cards.

This research suggests we're not as close to AGI as the hype suggests.

Current "reasoning" breakthroughs may be hitting fundamental walls that can't be solved by just adding more data or compute.

(opinions taken by Ruben Hassid X)

@ladybytes

Assalomu alaykum, dear readers of my channel!

After a reasonable/conscious break, I am back with lots of news:

1. I am in EU rn for my MSc.
2. Due to relocation, open to remote Business/Product Analyst & Data Engineer roles.
3. Launched my social + commercial project.
... and a lot more and will tell later.

For now, read my Erasmus journey and react on LI :)

@ladybytes

Personal Brand ≠ Social Media Presence
A personal brand is not just about posts and likes. It is about YOU - how you show up at networking events, the trust you create, the values you stand for, and the unique perspective only you can bring.

We often get trapped in:
~Imposter syndrome
~Burnout
~Endless busyness
~Procrastination

But building a brand starts when you shift into:
▫️ “I exist and I have something to say”
▫️ Genuine curiosity
▫️ Balance & inner harmony
▫️ Clarity and fast decisions

💡 Personal Brand = Social Capital
It grows when you combine marketing, tech, and skills:
Marketing → client orientation, market separation, storytelling
Tech → building brand platforms, scaling content
Skills → idea-selling, creating products people really need

In today’s attention economy, your personal brand is your digital avatar. It is built on values, principles, and skills - not vanity metrics.

And yes, it can be a commercial project: double your income, grow XXXk targeted followers, launch your first info product, build an audience that listens. Because personal brand is not “for show”. It is about mission, voice, and impact.

FI: This spring I finished a comprehensive course by braim.org on Personal Branding. Going back through my notes, I realized how many insights are worth sharing.

@ladybytes

🇪🇺Erasmus Mundus Joint Master’s (EMJM) haqida

2024-yil yozida dasturiy injiniring yo‘nalishida 3-kursni tamomlagach, turli mentorlik kurslariga qatnashdim, magistraturaga tayyorgarlik uchun ishonchli manbalarni izlab topdim. Ammo bundan oldin eng qiyin bosqich - qaror qabul qilish edi: o‘qish yoki karyera? Uzoq o‘ylab, oilam va tajribali insonlar bilan maslahatlashganimdan so‘ng, qaror aniq bo‘ldi, ya'ni akademik yo'lda davom etish.

Jarayon intensiv bo'ldi, vaqt juda tez o'tdi. Magistratura uchun kuchli portfolio tayyorlash oddiy ish emas - bu vaqt, diqqat va qayta-qayta maqsadni aniqlashtirishni talab qiladi. Bakalavrning so‘nggi kursi va ish bilan bir paytda, men bir nechta universitetlarga va grantlarga ariza topshirdim - tanlovlarimni kelajakdagi mutaxassislik, mamlakat va universitet reytinglariga qarab belgiladim.

"Prestijli"larga ham va nisbatan raqobat kamroq dasturlarga ham harakat qilib ko'rdim. Hozir shu holatlardan o‘tganimdan faxrlanaman. 2025-yil bahoridan rad javoblari ham, qabul xatlari ham ola boshladim. Bu post esa aynan mening "EMJM tajribam" haqida - ya’ni men "AI in Sustainable Societies" (Barqaror Jamiyatlarda Sun’iy Intellekt) magistrlik dasturiga qabul qilingan edim. Dastur quyidagi uchta universitet hamkorligida tashkil etilgan:

🇪🇪 Tallinn University, Raqamli texnologiyalar maktabi
🇫🇮 Tampere University, Axborot texnologiyalari va kommunikatsiyalar fakulteti
🇵🇹 Lusófona University, Tabiiy fanlar va muhandislik fakulteti

Bu dasturda eng yoqtirgan jihatim - u zamonaviy dolzarb mavzularni sun’iy intellekt yechimlari bilan uyg‘unlashtiradi, "AI ni mas’uliyatli, etikal va barqaror tarzda qo‘llashni o‘rgatadi"

Yozda esa "Yevropa Ittifoqi delegatsiyasi va O‘zbekiston Erasmus milliy ofisi" tomonidan tashkil etilgan Pre-Orientation Departure uchrashuviga taklif qilindim. U yerda EMJM bitiruvchilari va murabbiylar Yevropada o‘qish va yashash bo‘yicha qimmatli maslahatlar bilan o‘rtoqlashishdi. Quyida kelajakdagi nomzodlar uchun foydali fikrlar keltirilgan:

Sara Noshadi:

Qiyinchiliklar - bu ne’mat. Ular seni "antifragile" qiladi. Hozirgi bajarayotganlaring 5–10 yildan keyin ham muhim bo‘ladimi?

Alisher Faizullaev:

Kutilmagan narsalarga tayyor bo‘l. Savollar berishdan uyalma, hatto oddiy tuyulsa ham. Katta kitoblarni o'qishdan tortinma. Networking qil, O‘zbekiston madaniy va ilmiy elchisi bo‘l. Esda tut - bilim olish quvonchli jarayon bo'lishi kerak

Germaniya va Fransiya delegatsiyasi:

Yotoqxonangda yashirinib o‘tirma. Atrofda nimalar bo‘layotganini bil, do‘stlar orttir, turli madaniyatlarga qiziq

Otabek Akromov (EMJM alumni):

Proaktiv bo‘l, osongina aldanma. Imkoniyatlarni erta qidira boshla, koordinatorlar bilan bog'lan. O‘qi, sayohat qil, agar PhD ni istasang - "A" baholar ol albatta. Professorlar bilan yaxshi munosabat o‘rnat, bu tavsiyanomalar uchun muhim. Plagiatdan saqlan - insoniy ijod har doim qadrlanadi. Strategik bo‘l, ilmiy klublarga qo'shil va tillarni o'rgan, O‘zbekistonni targ‘ib qil, faol bo‘l

Jamshid Akhmadaliev (EMJM alumni):

Yevropa mamlakatlarining odatlari va bayramlarini o‘rgan. Shaxsiy hujjatlaringga ehtiyot bo‘l, konsullik bilan aloqa uzilmasin

Ravshan va Aziz Ganiev (EMJM alumni):

Emotsional intellekt va madaniy bilim muhim. O‘zing mustaqil o‘rgan, professorlarga email yoz, uchrashuv belgila, vaqtida kel, hamkurslarga hurmat bilan munosabatda bo‘l

Uchkun Normamatov (DAAD alumni): JSTOR, Notion AI kabi manbalarni ulashdilar.

Inson o‘zini motivatsiya qilishi va ruhiy salomatligiga e'tiborli bo'lishi muhim - muvaffaqiyatsizliklar esa shunchaki muvaffaqiyat sari o‘tish yo'lidir

EMJM va boshqa magistratura programmalariga hujjat topshirishda menga yo‘l ko‘rsatgan asosiy mentorlarim va men ulardan judayam minnatdorman:
Latofat Bobojonova, Shohruh Nishonqulov, Asadullo Ganiev, Qudratxo'ja Musayev, Murodjon Fayziev, Bekzod Abdurazzakov, shuningdek tavsiyanoma berganlar: Prof. Sanghyuk Lee, Khurshid Juraev, Mukhammadali Khayotov, Khumoyun Aminaddinov.

@ladybytes

Bugun Yakshanba.
Savol-javob qilamiz.

Today is Sunday.
Let's do AMA (Ask Me Anything)

https://news.1rj.ru/str/anonaskbot?start=ladybytes