Sumayah✧💙

Systems, Structures, Mastery

Nvidia is worth $5 trillion, more than the entire economy of Japan. No company in history has ever been worth more. It was started in 1993 in a Denny's diner by three engineers who put $200 each on the table. The CEO running it, Jensen Huang, grew up washing dishes at Denny's. He met two engineers at a booth in San Jose. Over cheap coffee, they started sketching out a company. Their plan was to build computer chips for video games, the kind that make 3D graphics look real on a screen. That was the pond they thought they were swimming in. Video games. Still a small industry in 1993. In 2006, Jensen made a decision that nearly killed the company. He started building software that turned his gaming chips into something more powerful. Scientists could now use them to do heavy math problems, the kind that used to require expensive supercomputers. Wall Street thought he was crazy. From 2006 to 2017, Nvidia spent close to $12 billion on this work while their revenue was only a few billion dollars a year. In 2014 alone, they put 30 cents of every dollar they made into research that was not paying off. Jensen later said it was the closest he ever came to killing his own company. Six years later, in 2012, a team at the University of Toronto built a program called AlexNet that could look at a picture and tell you what was in it. They trained it in a grad student's bedroom using two of Jensen's gaming chips that cost $500 each. They entered a contest and beat every other team in the world. Almost no one noticed. But Jensen did. He started rebuilding the entire company around teaching computers to think, even though almost nobody wanted that yet. Today, almost every AI in the world runs on Jensen's chips. In 2023, Larry Ellison, the founder of Oracle, said he and other tech CEOs had to spend an hour with Jensen at a sushi restaurant in Palo Alto, begging him for more chips. Jensen on the early years: "I had no idea how to do it. None of us knew how to do anything." The pond he thought he was swimming in was video games. The actual pond turned out to be every computer on the planet. The Denny's booth where it all started has a plaque on it now. It reads: "The booth that launched a trillion-dollar company." That number is now five.

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Spending my youth writing Python. What am I doing man?

@swoopappng Also is there like a referral code option? I have told a number of my friends (some who have now placed their orders) about this and just thought it would be nice if they used my referral code.

@summydev Enjoy your meal 😍😍

Just got my order 🙂‍↔️ @swoopappng

@swoopappng Thank youuu!

Hey, Important announcement. Please read and order. 💜

Research papers you must read for AI Engineer interviews: 1. Attention is all you need (Transformers) 2. LoRA (Low rank adaption) 3. PEFT ( Parameter Efficient Fine Tuning) 4. VIT (Vision Transformers) 5. VAE (Variational Auto Encoder) 6. GANs ( Generative Adversarial Networks) 7. BERT ( Bidirectional Encoder Representation from Transformers) 8. Diffusion Models (Stable Diffusion) 9. RAG (Retrieval Augment Generation) 10. GPT (Generative Pre-trained Transformers)

@ladicodez My boss🙂‍↔️🙌👏

Attended the Microsoft Agentic AI session today and it was really fun. We got hands-on with building AI flows using OpenAI client and understanding how these systems handle conversations. Refreshed my brain on RAG and also transcribed a customer complaint, broke it down, structured the response in JSON then converted it back to speech. We got recommendation to use @YarnGPT_ai . Big ups @saheedniyi_02

Instead of learning how to write code - Learn why an app needs a websocket - Understand polling - Know what caching is - Know why & when to optimize DB calls - Know when it should be a monolith or when MVC is best - Know how to correct and balance your CSS - know how to structure your dashboard page architecture. are you loading pages or you're routing views There are lots of things you should shift your learning focus to know that is not writing code Should you learn how to read code at the basic level? Yes.

@saheedniyi_02 😭😂🤣

This bike man just asked me if I was going to write JAMB💔. A whole first class graduate.

The insane amount of learning I am about to do this break and I am really looking forward to them. 😚 Strength + Wisdom+ Discipline Ya Allah🤲

I use this analogy a lot. This is what a room full of computers looked like in old times:

Introducing takeubackward.org Leetcode, but for machine learning.

@mustaphAdegbite Thank you dear 💗

Missing iftar because of tutorial 😭 <<<

Numerical Analysis II 😭

minimum requirement for getting a job in 2026

Someone literally built a free AI university - all in one repo, covering real-world AI systems step by step Link - github.com/jamwithai/arxi… Here’s what you’ll learn: Week 1 - Setup everything Docker, FastAPI, databases Beginner-friendly foundation Week 2 - Feed it real data Automatically fetch research papers Fully automated data pipeline Week 3 - Teach it to search BM25 keyword search implementation Your own Google-like search system Week 4 - Make it smarter Hybrid search enabled Understands meaning, not just keywords Week 5 - It talks back Complete RAG system Ask questions, get accurate answers Week 6 - Production ready Caching and monitoring added Runs like a real product Week 7 - Give it a brain Agentic AI with LangGraph Even works with Telegram

Principles, Process, Purpose