wisdomHunt

The first responsibility of a teacher is to make a student love the subject. Teaching comes only after. Hasankhon Yahyo Abdulmajid

Draw it. Don't tell, just draw it. p.s. Even with my Stanford supervisors who are smart and quick to catch up AI ideas, it is being necessary to draw things. Impossible with only words.

What matters is to continue - even when it feels like nobody is listening to you. p.s. probably, one of the best advices on leadership.

Almost a year ago, I was thinking that RobotGPT might be a few datasets away. Apparently, it was - a few more datasets labelled for quality. Have a look at this page - they show strong signs of RobotGPT! Robot in the video is working completely autonomously without task-specific RL training.

When Stanford has had enough with you😅

- Sun'iy intellekt dasturchilarni ishini olib qo'ysa nima qilamiz? - Jumavoy, agar dasturchilar ishsiz qolsa, bizni oldimizda bundan kattaroq muammolar turgan bo'ladi. Some worry that AI might take over software engineer jobs, but it feels much unlikely to me. For one, the jobs skilled software engineers could do is growing - AI is asking for more engineers to work on it, and it is penetrating more and more domains. At the same time, less people are taking CS degrees - in fact, this year, we have 15% less CS students enrolled at ETH. If we reach AI that is deployed across so many domains and doesn't require professional oversight, then we have AI that can basically walk and work instead of us. Meaning with such AI, it is all humanity that will have to rethink their lifestyle. In any case, people who are actually interested in computers, information, and intelligence should be there reaping the benefits.

burnout = action + no_love

My takeaways from Snowden's speech: - There will come a time in your life that everyone around you will be saying or doing the wrong, and they will know they are wrong. It is the pressure for conformity that keeps them and you shackled. Institutions are built so, to make you conform - not the other way around. - When you decide to go against the wave, it may be that - you are wrong. But it is ok. This is the way we learn. We get ready for the worst outcome, and we move forward. - We say a lot that information and technology is power, but no, it is people organizing together - the power.

Edward Snowden live on AI surveillance Real danger of AI is not AI against humanity. It is corporations with AI against majority of humanity.

People always change opinions. People always forget. Those sloppy actions you did, nobody has time to care about them.

Live - Omar Yaghi at ETH My first Nobel-prize winner to meet in person. He is the one to give first feasible solutions for carbon emissions and water-scarcity problems. Things are changing people!

"Because I am special..." Special people get special tests.

I am planning to lead the talk. Support is much appreciated!

🚀 The Uzbek Scientific Diaspora — A New Force for an Innovative Future 🗣This question will take center stage on September 5 at the Guest of Honor TechTalk Series. Abdulakhad Kuchkarov, Advisor IT Park Uzbekistan, technology policy expert, and board member of three venture capital funds, will share his perspective on: 🇺🇿“How the Global Uzbek Scientific Diaspora Can Help Build Uzbekistan’s Next Innovation Ecosystem”

Drawing on more than 12 years of experience in Central Asia’s technology ecosystem, Abdulakhad Kuchkarov will explore how global Uzbek talent can help accelerate knowledge exchange, strengthen international collaboration, connect global expertise with local talent, and unlock new opportunities for Uzbekistan’s innovation ecosystem.

💬The discussion will also look at how the Uzbek scientific diaspora can become a stronger bridge between Uzbekistan’s growing technology ecosystem and the global scientific and professional community. 🌐The session is organized by the Global Central Asia, Caucasus & Mongolia Science and Technology Association (CCM9) — a global professional network connecting 500+ scientists and technology professionals across 30+ countries, including researchers, professors, PhDs, postdocs, and industry R&D professionals. As part of its Guest of Honor TechTalk Series, CCM9 brings together distinguished leaders in science, technology, and policy to share firsthand insights, exchange ideas, and explore new opportunities for international collaboration. 🗓 September 5 ⏰ 6:00 PM UZT ❤️ Zoom: https://us06web.zoom.us/meeting/register/5F6urUZ4T9-2x50waD3fXA#/registration

#Mustaqillik35 #Uzb35 🌠 Independent Fact 2023-yil 17-sentyabr kuni YUNESKO “Ipak yo‘llari: Zarafshon–Qoraqum yo‘lagi”ni rasman Jahon merosi obyektlari ro‘yxatiga kiritib, unga O‘zbekiston, Tojikiston va Turkmaniston hududidagi 31 ta muhim tarixiy yodgorlikni qayd etdi. On September 17, 2023, UNESCO officially designated the "Silk Roads: Zarafshan-Karakum Corridor" as a World Heritage Site, inscribing 31 key historical locations across Uzbekistan, Tajikistan, and Turkmenistan.

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Ironically, very much relevant to AI field itself:)

Terence Tao: Mathematics in the Age of AI (August 17, 2026) Tao's essay based on his ICM 2026 lecture. Instead of arguing about whether AI can do research math, he conditions on the assumption that it will, and asks a different question: what do mathematicians actually value? Key ideas: 1. A second foundational crisis. 1900-1930 forced math to make its foundations explicit (set theory, formal proof). AI will force us to make our values explicit: what counts as a contribution, what we reward, who gets credit. 2. Goodhart's law hits math. Historically, all goals of mathematics (solving problems, building theory, training students, community) were correlated, so "solve open problems" worked as a proxy for everything else. AI breaks this: it optimizes for the appearance of success, and the AI industry is financially rewarded for exactly the benchmarkable metrics we used as proxies. Over-optimize one goal and the goals diverge. 3. The problem-solving pipeline is 5 stages, not 1. Generation → verification → exposition → community acceptance → canonicalization (getting into the textbooks). We only ever made the first stage explicit. AI accelerates stage 1 massively, barely touches stage 5, which Tao calls the most valuable part. Fun point: AI training data is the output of canonicalization. 4. Proof scarcity → proof abundance. Journals, priority norms, hiring, prizes were all designed for scarcity. Expect "proof indigestion": verified proofs nobody understands, correct results nobody has refereed. This is already happening on the Erdős problems database. 5. Exposition can be over-optimized too. Human proofs have "natural friction" where the author struggled, and that friction teaches you where to pay attention. AI-polished proofs sand it away, making texts easy to read but hard to learn from. He shows a Bourgain page he annotated in frustration as a grad student. His rule of thumb: if the authors can't give a clear expert-level talk on their result, it shouldn't be published. A verified proof no human can explain is incomplete. Also cites the First Proof project: 7 of 10 novel research problems got an essentially correct AI solution at $10-100s of compute per problem. @abdumalik_abdukayumov

Technology & Islam Many people tend to see technology and Islam as separate things. Muslims are often seen as more spiritually inclined, and even techno-averse. The history too backs this up on the surface, like the Ottomans effectively blocking the printing press for around 300 years. I had this same unconscious view, until something clicked: You see, in the Qur'an, reading, writing, and books are praised heavily. God emphasizes giving humans the ability to write with a pen. Now think about it - pen, book, writing, and reading - these are technology and technical skills. Meaning Islam actually encourages Muslims to engage with technology. Early Muslims lived this out too. Historically, they were the ones who made the mass production of paper a reality, enabling mass education, which directly led to the Islamic Golden Age. Now, what remains is to keep the same spirit. p.s. this view is somehow rewiring how I approach my work - making AI much closer to my beliefs.

Universities need reform What I am realizing is - I am almost finishing my master’s and I didn’t attend almost any course for more than its beginning 1-2 weeks - for both bachelor’s and master’s. This was made possible thanks to recorded lectures and AI chatbots. So my university experience says - something should change in education system. You don’t necessarily have to sit in the lectures. At the end of the day, learning is about students making sense of the content, not teachers pounding in their ears. That making sense is much better served if the student can pause the lecture, ask his questions, do more exercises, and think together with mentors. This would also give more time for lecturers to actually do more research rather than repeating the same thing again and again. This would be win-win case for both sides. In any case, presence of AI should rewire the education system and whoever does it first reaps the biggest harvest. I found this interesting article that delves deeper into this topic.

Are you guys kidding?

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