Tugay Garibov

Founder @lingozy

[Tugay Garibov @tugaygarib]

If you’re in any of these cities and would like to grab a coffee, talk startups, AI, games, education, or just exchange ideas, feel free to reach out.

[Tugay Garibov @tugaygarib]

I’ll be traveling across Central Asia and the US over the next couple of months and would love to meet founders, investors, builders, researchers, and anyone working on interesting ideas.

[Tugay Garibov @tugaygarib]

📍 Tashkent — until September 25
📍 Almaty — September 25 – October 3
📍 San Francisco — October 3 – 15
📍 Los Angeles — October 15 – 19
📍 New York City — October 19 – November 1
📍 Boston — November 2-3

[Mark Bao @markbao]

A lot of people are missing Terence Tao’s point and thinking “mathematicians are upset that AI is better than them.” That’s not what he’s saying, and some people are forgetting that Tao is one of the most AI-pilled mathematicians out there.

His point is that when people work on discovering something, along the way they invent new concepts. Those concepts later become useful far beyond the original goal, and enables further inventions. Finding a solution does matter, but the intermediate idea is often what makes the field richer, because other people can share it and build the next thing from it.

In tech, we can use the analogy of collaborative software. We started with algorithms for merging changes in a Word document, and evolved that to concepts about versions, diffs, and merges, and later to real-time collaboration tools like Git, Google Docs, and Figma. Humans built upon these concepts and developed more powerful solutions.

Terence’s worry is that a machine automating a solution robs the field of the value of developing the intermediate discoveries in the pursuit of larger discoveries.

When automating a solution, the intermediate discoveries and invention of concepts can be buried or completely hidden in the black box. We don’t learn from them to build the next thing; it’s like we never made the invention of collaborative document editing and thus could not have the conceptual understanding to invent the next version – and since it’s hidden, we also don’t socialize them to allow other people to invent, too, a core tenet of collective discovery.

So then, in both code and math, this leads to the atrophy of development of concepts in the field.

In other words: pure ‘solution extraction’ that hides the process of discovery can leave the field with a checked-off theorem but little new insight or new questions to pursue. And it might prevent us from understanding a field deeper.

I am seeing, first-hand, that atrophying of skills in software development. We push buttons and get solutions. There is much less incentive to develop new concepts and human skill. The bet most software companies are making is that LLMs are so effective in writing code that you’re still shipping overwhelmingly more value even with human skill atrophy, and it’s the right bet IMO.

However, much of the software industry is built upon building things, not necessarily novel invention and research. In such an environment, you can say that you accept some atrophying of conceptual invention and human skill for more output.

On the other hand, sectors like math and pure sciences that are focused on invention and insight might be the hardest hit by this.

Practical/applied sciences might fall somewhere in the middle. An Alzheimer’s cure, room-temperature semiconductor, or highly effective carbon capture solution are far too valuable to sandbag and say only humans can do that to develop concepts in the ‘proper’ way. The outcome matters too much to treat the preservation of concept invention as the highest goal. Even there, though, hidden intermediates can slow the next breakthrough if nobody can see how the first one actually worked.

So the question is not “is AI allowed to solve hard problems?” It is “in this field (math, science, tech, etc.), is the answer itself the main point, or are the concepts and abstractions we use to get there also the thing we need to maintain?”​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​

In pure math, there’s an argument that the intermediates are often more useful than the solution, and atrophy in concept development is highly detrimental to the field. Solving Navier–Stokes, contrary to what some people claim, has little practical application, and pure math might be one of those fields where just finding a solution isn’t the entire point, and can actually be contrary to the field, which is what Tao is worried about.

[Tugay Garibov @tugaygarib]

With Lingozy, your essays are reviewed by real IELTS teachers who provide detailed, personalized feedback to help you improve faster and reach your target band.

Write smarter. Score higher. 🎯

#IELTS #IELTSWriting #Lingozy #EnglishLearning #StudyAbroad

[Nicolas Dessaigne @dessaigne]

I was 37 when I started YC. It changed my company and my life.
I’m sharing that because a lot of founders quietly think they missed their window. Too old, too settled, should’ve done it at 25.
You haven’t missed it. The experience you think makes you late is often what lets you build.

[Tugay Garibov @tugaygarib]

Download here:

https://t.co/0HKaa4CBES

[Tugay Garibov @tugaygarib]

🎉 New update on Lingozy! 🍀
We're introducing gamification through coins to make learning more engaging and rewarding.
🪙 Earn coins by:
• Inviting your friends to join the platform
• Scoring highly on your essay submissions

[Tugay Garibov @tugaygarib]

🏆 We've also introduced a weekly leaderboard, where the top 3 students earn bonus coins every week.
✍️ Spend your in-app coins to get your essays reviewed by our teachers.

#ielts #edtech #lingozy
As always, Lingozy remains free and focused on helping students succeed. 🚀

[Tugay Garibov @tugaygarib]

🏆 We've also introduced a weekly leaderboard, where the top 3 students earn bonus coins every week.
✍️ Spend your in-app coins to get your essays reviewed by our teachers.

[Shaig @shaigexp]

I'm busy building a tool to help designers and solo founders create product videos like that.

[Tugay Garibov @tugaygarib]

There’s a specific kind of magic in an accidental all-nighter where the world is quiet and the work just happens.

[Tugay Garibov @tugaygarib]

@jack Future is data

[jack @jack]

five words. 20 years. unfinished.

[Coconut Tree City 🥥🌴 @yin_yang_yo_]

Lau's getting her license back in three years and quickly transferred her real estate to some LLCs to alleviate the level of compensation she'd have to pay out

A whole family was killed. This is not justice. She deserves more than just probation and a 3-year license suspension

[Tugay Garibov @tugaygarib]

Podcast in Turkish below:

Serhat Gundem ile bir saatlik konuşma fırsatım oldu. Siz de aşağıdaki linkten dinleyebilirsiniz

https://t.co/NCnNicb0xd

[Tugay Garibov @tugaygarib]

@erenbali What if you dont have users at first?

[Eren Bali @erenbali]

I’ve been back in the peak startup happiness mode last 6 months. No meetings, no politics, no interpersonal drama. Just coding all day in a room of super smart people. And this time as a bonus we get to receive help from some ungodly alien tech.

[Tugay Garibov @tugaygarib]

You can take a free IELTS Writing test on Lingozy!

It will be graded by real IELTS tutors and your scores will be sent to your email.

https://t.co/LMfrbFvUgu

[Tugay Garibov @tugaygarib]

I’ll be in Tashkent from December 6th to 16th for DSA Demo Days! If you’re in the area and would like to connect, I’d be happy to meet. I’m currently building Lingozy, a personal assistant for university admissions Feel free to reach out!