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🚨 Sam Altman literally gave a 43-minute masterclass on turning ideas into billion-dollar companies.
Most people will never watch it.
And instead of hype, he broke down what actually makes startups work.
No fluff. Just reality.
He explained that ideas don’t matter nearly as much as execution. The difference between something small and something massive isn’t the idea it’s how relentlessly it’s built and improved over time.
He also emphasized that the best founders don’t chase everything. They focus on one thing that truly matters and push it forward with extreme clarity. Distraction kills more startups than competition ever will.
And then there’s scale. Truly big companies aren’t built for a niche they solve problems that millions of people care about. If the market isn’t large enough, the outcome won’t be either.
His biggest insight? Startups don’t win because they’re smarter they win because they stay in the game longer and iterate faster.
That’s why this masterclass stands out.
Because while most people are waiting for the perfect idea…
The best ones are already building.
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Stop wasting hours trying to learn AI. 📘📚
I have already done it for you.
With one list. Zero confusion. And no fluff
📹 Videos:
1. LLM Introduction: t.co/kyDon6qLrb
2. LLMs from Scratch: t.co/2hyMhuKoiI
3. Agentic AI Overview (Stanford): t.co/FXu6cAqITC
4. Building and Evaluating Agents: t.co/ZigR1tdOFL
5. Building Effective Agents: t.co/uYwfwO55mO
6. Building Agents with MCP: t.co/4arFTW1b3i
7. Building an Agent from Scratch: t.co/eOmveyM9Hz
8. Philo Agents: t.co/zLu7x1tx9m
🗂️ Repos
1. GenAI Agents: t.co/eXCl2YaRPv
2. Microsoft's AI Agents for Beginners: t.co/3CSW4zPAwf
3. Prompt Engineering Guide: t.co/GVzvxPYDVO
4. Hands-On Large Language Models: t.co/0rgDvhx3pI
5. AI Agents for Beginners: t.co/3CSW4zPAwf
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: t.co/9z5KHF9DMe
8. Hands-On AI Engineering:t.co/dldAj5Xkr6
9. Awesome Generative AI Guide: t.co/U2WZhT4ERV
10. Designing Machine Learning Systems: t.co/sYAZX34YdQ
11. Machine Learning for Beginners from Microsoft: t.co/NjFxHbC9jZ
12. LLM Course: t.co/N34YTPu1OK
🗺️ Guides
1. Google's Agent Whitepaper: t.co/bW3Ov3vMW0
2. Google's Agent Companion: t.co/wredwWAbBA
3. Building Effective Agents by Anthropic: t.co/fxtE4alVrJ.
4. Claude Code Best Agentic Coding practices: t.co/lLSwJ9pG7C
5. OpenAI's Practical Guide to Building Agents: t.co/xgkEIogGfh
📚Books:
1. Understanding Deep Learning: t.co/CjcKpTemmV
2. Building an LLM from Scratch: t.co/DaWBxOx8o3
3. The LLM Engineering Handbook: t.co/ZA1n0N41Mf
4. AI Agents: The Definitive Guide - Nicole Koenigstein: t.co/boLkl1VlKb
5. Building Applications with AI Agents - Michael Albada: t.co/H1Xf5EkJLL
6. AI Agents with MCP - Kyle Stratis: t.co/JI3ELQZE6a
7. AI Engineering: t.co/Xk0JzMIf7o
📜 Papers
1. ReAct: t.co/QNqE4UU55w
2. Generative Agents: t.co/CwEpoJgY1U.
3. Toolformer: t.co/5m9xZd5teZ
4. Chain-of-Thought Prompting: t.co/KjVlgdWi77.
🧑🏫 Courses:
1. HuggingFace's Agent Course: t.co/7FSUYKxIdG
2. MCP with Anthropic: t.co/IkZGiWm2yS
3. Building Vector Databases with Pinecone: t.co/2YRoMfLdXd
4. Vector Databases from Embeddings to Apps: t.co/23A50ixbHJ
5. Agent Memory: t.co/uc3L9BrNF7
Repost for your network ♻️

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Stop watching Netflix.
Watch 2 hours of Stanford University AI lectures instead.
That alone puts you ahead of 99% of “AI learners” scrolling reels.
Same 2 hours.
Different life.
Kshitij Mishra | AI & Tech@DAIEvolutionHub
Perplexity can now teach you like a personal tutor. Here are 6 prompts to learn faster for free: (Save this)
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Claude FULL COURSE 1 HOUR FOR FREE (Build & Automate Anything)
Md Riyazuddin@riyazmd774
I didn’t touch my task list this morning. 47 tasks. Monday chaos. But everything was already… done. No clicks. No tabs. No switching tools. Here’s what handled @Pokee_AI ↓
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From gym buddies to putok ko na ba!?😈
Full video now available. For inquiries and access, please message me directly.
Telegram Account t.me/kennethluxxe
Solid Poppers from @Pinoy_Poppers
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