I still remember the day I started coding.
Everything felt like a dark theme. I didn't know where to begin or where the journey would end. It was confusing, frustrating, and sometimes boring. I kept asking questions, but there was no clear roadmap. Many times I wanted to give up. I got lost, doubted myself, and wondered if I was making any progress at all.
Then another fear appeared:
"What if AI replaces me?"
At the same time, I looked at the long road ahead and thought, "Can I really do this?" My mind kept asking, "Why am I struggling so much?"
But I kept going.
One year later, everything changed.
I went from writing "Hello, World!" to building real projects. From creating simple web pages to developing systems that solve real problems. Today, coding is no longer something I fear—it's something I enjoy. Alhamdulillah, I'm now teaching others what I've learned and earning an income through the same skill that once seemed impossible.
To everyone who is just starting their coding journey:
Don't give up. Don't hesitate. Keep learning.
When others are endlessly scrolling through social media, scroll through your code.
When others are typing random chats, type lines of code.
Every line you write is an investment in your future.
Your screen may feel lonely today, but it will reward your patience tomorrow. It gives you exactly what you ask of it through your output
.
One day, you'll look back and realize that every difficult moment was worth it.
Keep coding. Your future self will thank you. 💻🚀
Alhamdulillah for every step of the journey.
https://t.me/yusuf_mohammed0
Everything felt like a dark theme. I didn't know where to begin or where the journey would end. It was confusing, frustrating, and sometimes boring. I kept asking questions, but there was no clear roadmap. Many times I wanted to give up. I got lost, doubted myself, and wondered if I was making any progress at all.
Then another fear appeared:
"What if AI replaces me?"
At the same time, I looked at the long road ahead and thought, "Can I really do this?" My mind kept asking, "Why am I struggling so much?"
But I kept going.
One year later, everything changed.
I went from writing "Hello, World!" to building real projects. From creating simple web pages to developing systems that solve real problems. Today, coding is no longer something I fear—it's something I enjoy. Alhamdulillah, I'm now teaching others what I've learned and earning an income through the same skill that once seemed impossible.
To everyone who is just starting their coding journey:
Don't give up. Don't hesitate. Keep learning.
When others are endlessly scrolling through social media, scroll through your code.
When others are typing random chats, type lines of code.
Every line you write is an investment in your future.
.
Keep showing up.
Keep building.
Keep learning.One day, you'll look back and realize that every difficult moment was worth it.
Keep coding. Your future self will thank you. 💻🚀
Alhamdulillah for every step of the journey.
https://t.me/yusuf_mohammed0
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Yusuf Moh | YMC Tech
Photo
🚨 Are we using AI... or letting AI use our brains?
In a powerful TED Talk, AI and design researcher Advait Sarkar argues that today's generative AI is becoming more than a helpful assistant—it risks replacing our own thinking.
🧠 The Problem
🔹 Outsourced Reason
Instead of creating ideas ourselves, many knowledge workers now spend their time reviewing AI-generated content. We become managers of machine output instead of thinkers.
🔹 Cognitive Decay
Overreliance on AI for writing, summarizing, and brainstorming can weaken creativity, critical thinking, memory, and learning—our "mental muscles" slowly fade from lack of use.
💡 A Better Vision for AI
Sarkar believes AI shouldn't think for us—it should help us think better.
His research prototype focuses on:
✅ Material Engagement
Keep humans connected to original sources while AI provides different analytical "lenses" instead of replacing reading with summaries.
✅ Productive Resistance
Rather than giving instant answers, AI should challenge us with counterarguments, critiques, and alternative perspectives that encourage deeper thinking.
🎯 The Big Takeaway
The future of AI shouldn't be measured only by speed and efficiency.
It should be measured by whether it helps us become better thinkers, better creators, and better decision-makers.
The real choice is this:
🤖 AI that thinks for you
🧠 AI that makes you think
Choose the second.
https://t.me/yusuf_mohammed0
In a powerful TED Talk, AI and design researcher Advait Sarkar argues that today's generative AI is becoming more than a helpful assistant—it risks replacing our own thinking.
🧠 The Problem
🔹 Outsourced Reason
Instead of creating ideas ourselves, many knowledge workers now spend their time reviewing AI-generated content. We become managers of machine output instead of thinkers.
🔹 Cognitive Decay
Overreliance on AI for writing, summarizing, and brainstorming can weaken creativity, critical thinking, memory, and learning—our "mental muscles" slowly fade from lack of use.
💡 A Better Vision for AI
Sarkar believes AI shouldn't think for us—it should help us think better.
His research prototype focuses on:
✅ Material Engagement
Keep humans connected to original sources while AI provides different analytical "lenses" instead of replacing reading with summaries.
✅ Productive Resistance
Rather than giving instant answers, AI should challenge us with counterarguments, critiques, and alternative perspectives that encourage deeper thinking.
🎯 The Big Takeaway
The future of AI shouldn't be measured only by speed and efficiency.
It should be measured by whether it helps us become better thinkers, better creators, and better decision-makers.
The real choice is this:
🤖 AI that thinks for you
🧠 AI that makes you think
Choose the second.
https://t.me/yusuf_mohammed0
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💬 OpenAI Makes GPT-5.6 Lun Free and Unlimited
OpenAI has announced that GPT-5.6 Luna will become the default model for Free and Go-tier ChatGPT users, who will also receive unlimited text conversations.
The rollout begins this week, while a new "Think" button is set to arrive during the week of August 10. OpenAI says ChatGPT now reaches 1 billion people each week.
Do you have ChatGPT subscription?
❤️ — Yes, of course!
🔥 — No, free is enough for me
OpenAI has announced that GPT-5.6 Luna will become the default model for Free and Go-tier ChatGPT users, who will also receive unlimited text conversations.
The rollout begins this week, while a new "Think" button is set to arrive during the week of August 10. OpenAI says ChatGPT now reaches 1 billion people each week.
Do you have ChatGPT subscription?
❤️ — Yes, of course!
🔥 — No, free is enough for me
When everything started, it seemed easy, achievable, and interesting, but everything began with interest. Don't do anything without interest. May Allah guide you toward the things you think of many times in your heart.
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🤖 AI Today: Learn It or Fall Behind.
AI is no longer just a tool for the future it’s already changing how we work, learn, build, and earn. 🚀
The real advantage isn’t simply using AI.
It’s knowing how to think with AI, automate tasks, solve problems, and create faster. 💡
🔥 Don’t just ask AI questions.
👉 Build with it.
👉 Learn with it.
👉 Create with it.
👉 Grow with it.
The future belongs to those who adapt. 🚀
AI is no longer just a tool for the future it’s already changing how we work, learn, build, and earn. 🚀
The real advantage isn’t simply using AI.
It’s knowing how to think with AI, automate tasks, solve problems, and create faster. 💡
🔥 Don’t just ask AI questions.
👉 Build with it.
👉 Learn with it.
👉 Create with it.
👉 Grow with it.
The future belongs to those who adapt. 🚀
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📢 Remote AI Facial Data Collection – 4,000 Openings
micro1 is hiring remote contributors to provide selfies and short video recordings for AI training.
💰 Pay: $139–$140/hr
🌍 Location: Remote
📸 Requirements: Smartphone/camera, clear selfies & videos, attention to detail, and ability to follow instructions.
⚠️ Payment is a one-time payment after completing the required submissions.
If you’re interested in earning from a remote AI data project, check it out!
link
https://refer.micro1.ai/referral/jobs?referralCode=19de7aa0-ee52-454c-bc59-f26d6c90f74c&utm_source=referral&utm_medium=share&utm_campaign=job_referral
micro1 is hiring remote contributors to provide selfies and short video recordings for AI training.
💰 Pay: $139–$140/hr
🌍 Location: Remote
📸 Requirements: Smartphone/camera, clear selfies & videos, attention to detail, and ability to follow instructions.
⚠️ Payment is a one-time payment after completing the required submissions.
If you’re interested in earning from a remote AI data project, check it out!
link
https://refer.micro1.ai/referral/jobs?referralCode=19de7aa0-ee52-454c-bc59-f26d6c90f74c&utm_source=referral&utm_medium=share&utm_campaign=job_referral
Today, lets understand Machine Learning in simplest way possible
What is Machine Learning?
Think of it like this:
Machine Learning is when you teach a computer to learn from data, so it can make decisions or predictions without being told exactly what to do step-by-step.
Real-Life Example:
Let’s say you want to teach a kid how to recognize a dog.
You show the kid a bunch of pictures of dogs.
The kid starts noticing patterns — “Oh, they have four legs, fur, floppy ears...”
Next time the kid sees a new picture, they might say, “That’s a dog!” — even if they’ve never seen that exact dog before.
That’s what machine learning does — but instead of a kid, it's a computer.
In Tech Terms (Still Simple):
You give the computer data (like pictures, numbers, or text).
You give it examples of the right answers (like “this is a dog”, “this is not a dog”).
It learns the patterns.
Later, when you give it new data, it makes a smart guess.
Few Common Uses of ML You See Every Day:
Netflix: Suggesting shows you might like.
Google Maps: Predicting traffic.
Amazon: Recommending products.
Banks: Detecting fraud in transactions.
What is Machine Learning?
Think of it like this:
Machine Learning is when you teach a computer to learn from data, so it can make decisions or predictions without being told exactly what to do step-by-step.
Real-Life Example:
Let’s say you want to teach a kid how to recognize a dog.
You show the kid a bunch of pictures of dogs.
The kid starts noticing patterns — “Oh, they have four legs, fur, floppy ears...”
Next time the kid sees a new picture, they might say, “That’s a dog!” — even if they’ve never seen that exact dog before.
That’s what machine learning does — but instead of a kid, it's a computer.
In Tech Terms (Still Simple):
You give the computer data (like pictures, numbers, or text).
You give it examples of the right answers (like “this is a dog”, “this is not a dog”).
It learns the patterns.
Later, when you give it new data, it makes a smart guess.
Few Common Uses of ML You See Every Day:
Netflix: Suggesting shows you might like.
Google Maps: Predicting traffic.
Amazon: Recommending products.
Banks: Detecting fraud in transactions.
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Forwarded from Muhammed Teshome
YouTube is doubling the viewership requirements new creators must meet to earn ad and Premium revenue
From February 1, creators will need 8,000 watch hours over 12 months or 20 million Shorts views in 90 days
From February 1, creators will need 8,000 watch hours over 12 months or 20 million Shorts views in 90 days
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Forwarded from Ethiopian Cursor Community
The addiction we have with Vibe Coding makes us coders, but the bugs we create make us "vibe coders."
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Yusuf Moh | YMC Tech
Photo
Google is announcing a new Gemini model today, though it is not the anticipated 3.5 Pro. Instead, Gemini 3.7 Flash is now being deployed to replace Gemini 3.6 Flash, which was released merely three weeks ago. This new "workhorse" model is purportedly the result of core optimizations and developer feedback, delivering enhanced coding and agentic performance. Furthermore, Google aims to address the lower costs of competing models by offering a reduced introductory price for Gemini 3.7 Flash.
According to Senior Director Tulsee Doshi, Gemini 3.7 Flash demonstrates significantly improved coding capabilities compared to the previous Flash release. She highlights an increase in the FrontierCode 1.1 Main test score from 34.4% to 43.6%, and an improvement in DeepSWE v1.1 from 49% to 65.3%. Regarding overall performance, the WebDev Arena score for Gemini 3.7 Flash has risen to 1,588 from 1,538.
Users seeking enhanced knowledge retention may also observe modest improvements in Gemini 3.7 Flash. The GDP.pdf benchmark, which assesses a model's ability to process complex documents, has increased to 34% compared to 22% with Gemini 3.6 Flash. Additionally, in AutomationBench tests, which evaluate the execution of common business workflows, Gemini 3.7 Flash achieved a score of 30.4%, up from 17% with the 3.6 version.
https://t.me/yusufcodes
According to Senior Director Tulsee Doshi, Gemini 3.7 Flash demonstrates significantly improved coding capabilities compared to the previous Flash release. She highlights an increase in the FrontierCode 1.1 Main test score from 34.4% to 43.6%, and an improvement in DeepSWE v1.1 from 49% to 65.3%. Regarding overall performance, the WebDev Arena score for Gemini 3.7 Flash has risen to 1,588 from 1,538.
Users seeking enhanced knowledge retention may also observe modest improvements in Gemini 3.7 Flash. The GDP.pdf benchmark, which assesses a model's ability to process complex documents, has increased to 34% compared to 22% with Gemini 3.6 Flash. Additionally, in AutomationBench tests, which evaluate the execution of common business workflows, Gemini 3.7 Flash achieved a score of 30.4%, up from 17% with the 3.6 version.
https://t.me/yusufcodes
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Yusuf Moh | YMC Tech
Building AI, SaaS & Automation Systems. Full-Stack Developer • Telegram Mini Apps • Sharing my journey, tutorials, and startup insights
🚀 Most Developers Don’t Get Stuck Because Coding Is Hard…
Almost every web developer starts the same way:
HTML → CSS → JavaScript → DOM → React → Backend → Full Stack
But somewhere along the way… many of us get stuck. 😓
You start wondering:
And suddenly, you’re learning everything but progressing in nothing. 😵💫
👉 The real problem is often not your ability to learn.
The problem is starting without a roadmap.
Before you start coding, know where you are going. 🗺
Ask someone more experienced:
“Where did you get stuck, and what helped you move forward?”
Learn from their mistakes. Choose your direction. Then stick to your roadmap. 🎯
Many beginners don’t fail because they are not talented.
They get distracted by too many ideas in their head.
💡 One roadmap. One direction. Consistent progress.
Don’t keep restarting.
Pick your path → Follow the roadmap → Build → Get stuck → Learn → Keep going. 🔥
Your future developer self will thank you for not giving up today. 💪
https://t.me/yusufcodes
Almost every web developer starts the same way:
HTML → CSS → JavaScript → DOM → React → Backend → Full Stack
But somewhere along the way… many of us get stuck. 😓
You start wondering:
“Should I learn React deeper?”
“Should I focus on JavaScript?”
“Should I learn Node.js?”
“Should I become a backend developer?”
“Maybe I should start another technology…”
And suddenly, you’re learning everything but progressing in nothing. 😵💫
👉 The real problem is often not your ability to learn.
The problem is starting without a roadmap.
Before you start coding, know where you are going. 🗺
Ask someone more experienced:
“Where did you get stuck, and what helped you move forward?”
Learn from their mistakes. Choose your direction. Then stick to your roadmap. 🎯
Many beginners don’t fail because they are not talented.
They get distracted by too many ideas in their head.
💡 One roadmap. One direction. Consistent progress.
Don’t keep restarting.
Pick your path → Follow the roadmap → Build → Get stuck → Learn → Keep going. 🔥
Your future developer self will thank you for not giving up today. 💪
https://t.me/yusufcodes
Telegram
Yusuf Moh | YMC Tech
Building AI, SaaS & Automation Systems. Full-Stack Developer • Telegram Mini Apps • Sharing my journey, tutorials, and startup insights
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