We have always a ‘CHOICE’. It is what ‘WE’ choose – not others.
We can look the setbacks as negatives as much as we want, or we can look at them as learning opportunities to grow. It is always a choice we choose.
I choose the growth-mindset. How about you?
Finished 'Mindset' by Carol S Dweck and 'Steal Like an Artist' by Justin Kleon today. A new refreshed look at the world :)My weakness is I am so impatient to do anything. Be it learning a new thing or accomplishing a certain task. However after reading the history of AI, I was calmed down.
AI was not developed in a day.by Azim Pulat
It is indeed very true. In fact, 1840 was the beginning of the first computer program by Ada Lovelace. 1936 was the beginning of the theory of computation by Alan Turing. There have been thousands of other scientists who developed theories, programs and the necessary AI tools after these two pioneers. They all followed the Turing Test to make the machine mimic the human intelligence. It followed the criteria:
• natural language processing to communicate successfully in a human language;
• knowledge representation to store what it knows or hears;
• automated reasoning to answer questions and to draw new conclusions;
• machine learning to adapt to new circumstances and to detect and extrapolate patterns;
• computer vision and speech recognition to perceive the world; • robotics to manipulate objects and move about.
There has been rejections to the theorems. Arguments. Criticisms. But, the years and years of development and research brought the current AI we see today. There have been thousands of scientists, programmers, mathematicians, and many more fields of people who have contributed their part into this amazing technology we call today as AI.
‘AI is not developed in a day.’ This is so true. I have been so impatient until this time. But, as I read on, I see that I should learn AI/ML with patience and make sure I have answers to all my ‘whys’. It took almost a hundred years for this technology, so it would be fair if you and I appreciate this hard work and keep discovering this mysterious AI with incremental steps.
What do you think of the world's largest open office?
On the one hand, it can be distracting. However, the book 'Deep Work' by Cal Newport, which I've been reading these days, has changed my mind a bit (and given me even more inspiration for my 'WeConnect' startup, which I plan to create in the near future).
An example of this was Mark Zuckerberg. His goal was to build the largest open office in the world. According to my fact-checking, Mark Zuckerberg still does not have a separate room and works with all his employees in one giant open space. The main purpose of such a design of buildings came from the "theory of random creativity". This can be seen most clearly from MIT's Building 20. It was very old, with thin walls and a roof that went from the ceiling to the ceiling. It was hot in the summer and freezing in the winter. But despite this, it was allowed to be used as an open workspace. Research scientists from Cambridge, nuclear physicists, linguists, and representatives of various faculties, from electronics, could create there, meet and work with representatives of different fields. They even worked in this large empty room next to unusual tenants, such as a piano repair service. Since the building was quite cheap, anyone who wanted could rent the building and use it in parts. This building has been around for years and has been the source of many accidental inventions. Even Jerrold Zacharias, who appeared in the New Yorker magazine, started his first atomic clock there, and even removed two floors of Building 20 to use in the construction of his first invention. Today, the building is remembered as MIT’s Building 20: The Magical Incubator 1943 – 1998. A truly place of accidental creativity…
Btw, my (irrelevant to this topic) personal opinion is that the book called “Artificial Intelligence A Modern Approach’ 4th edition by Stuart Russel and Peter Norvig is a magical book. It answers to all ‘whys’ to the building blocks of today’s AI / ML building up the foundation back from centuries of research and development. Mention of potential use cases in the (near) future just speaks how powerful the technology can be.
Dunyodagi eng katta ochiq ofisga qanday qaraysiz?
Bir tomondan u diqqatni buzishi ehtimoli bor. Ammo, shu kunlarda o’qiyotgan ‘Diqqat’ (Deep Work) by Cal Newport kitobi, biroz fikrlarimni o’zgartirdi (va yaqin kelajakda yaratmoqchi bo’lgan ‘WeConnect’ startup imga yanada ilhom berdi).
Buni misolida Mark Zuckerburg berilgan edi. Uning maqsadi dunyodagi eng katta ochiq ofis qurish edi. Faktlarni tekrishim bo’yicha, hozir ham Mark Zuckerberg da alohida hona yo’q va u barcha ishchilari bilan bir gigant ochiq joyda ishlaydi. Bunday dizayndagi qurilishning asosiy maqsadi ‘tasodifiy ijodkorlik nazariyasi’ dan kelib chiqqan.
Buni, MIT ning 20-binosidan yaqqolroq tushinish mumkin. U yer juda ham eski, devorlari yupqa va tomdan chakka o’tardi. Yozda qaynar, qishda muzlar edi. Ammo shunga qaramasdan, u ochiq ishlash joyi sifatida ishlatilishiga yo’l qo’yib berildi. Hoh kembridjdan kelgan tadqiqotchi olimlar-u, yadro fiziklar, lingvistlar, elektronikagacha bo’lgan turli xil fakultet vakillari u yerda ijod qilishi, turli soha vakillari bilan tanish va ishlashi mumkin edi. Hatto pionino tuzatish xizmati kabi noodatiy ijaradorlar bilan qo’shni bo’lib bu yirik bo’sh honada ishlashgan. Bino ancha arzon bo’lgani uchun hohlagan kishi binoni bo’lib olib ishlatishi mumkin edi. Bu bino yillar davomida faoliyat yuritgan va ko’plab tasodifiy ixtirolarga sabab bo’lgan. Hattoki “New Yorker” jurnalida chiqqan Jerrold Zacharias o’zini ilk atom soatini aynan o’sha yerda boshlagan, va hattoki 20-binoning 2 ta polini olib tashlab, ilk ixtirosini qurishda ishlatgan. Hozir, u binoni MIt’s Building 20: The Magical Incubator 1943 – 1998 sifatida eslanadi. Rostan ham tasodifiy ijodkorlik joyi…
Btw, my (irrelevant to this topic) personal opinion is that the book called “Artificial Intelligence A Modern Approach’ 4th edition by Stuart Russel and Peter Norvig is a magical book. It answers to all ‘whys’ to the building blocks of today’s AI / ML building up the foundation back from centuries of research and development. Mention of potential use cases in the (near) future just speaks how powerful the technology can be.
Artificial Intelligence: A Modern Approach, Global Edition, 4ed
Recently, the combination of neuroimaging methods combined with machine learning techniques for analyzing such data has led to the beginnings of a capability to “read minds”—that is, to ascertain the semantic content of a person’s inner thoughts. This capability could, in turn, shed further light on how human cognition works.
Stuart Russell and Peter Norvig reminded me once again just how powerful technology can be. At first, that might sound a little scary. But take the recent viral video, for example—a man used Gemini to find a connection between Alzheimer’s and Alexander disease. Just by helping analyze data, these AI tools can reveal patterns we never noticed before.
When I told my mom I spent two hours trying to understand how machines can almost “read” our minds, she got a little freaked out. And honestly, it does sound wild. But like any powerful tool, it comes with both risks and rewards—we’re still figuring that part out.
For now, I’m happy exploring the hidden worlds in my books.
Reading minds? Hmm. Let’s see where this goes. :))
5 April, 2025
The lesson learned:
“Be careful who you spend time with—they shape who you become.”
Take Rukhshona, for example. She’s my closest friend and played a big part in helping me become a Googler. She encouraged me to step out of my comfort zone, meet new people, and always look for adventure. Along the way, she also inspired me to love learning. (Right now, she’s studying at Arizona State University.)
Then there’s Oisha. She’s the one who got me into reading. Thanks to her, I started reading a book every day. She also taught me how to smile through both good times and bad, and to be thankful for what I have. (She’s currently at Hadichai Kubro.)
And of course, Nodira. She’s a total math geek! She loves trigonometry and calculus and helped me see the world more logically. Whenever I got too emotional, she reminded me to think things through. (She’s probably still busy solving Differential Equations.)