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Our superpower is to empower !

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture it's the clearest explanation I've seen of how ChatGPT and Claude actually work useful whether you've never touched AI in your life or have been using it every day for the past year I took the key ideas and turned them into a practical guide on how to actually get 100% out of Claude everything in one place

Anthropic just paid millions to hire Andrej Karpathy. He gave you the same knowledge for $0 the same week. Co-founder of OpenAI. Former head of AI at Tesla. The man who coined vibe coding. No recruitment fee. No exclusive access. Just a link and 29 minutes. LLMs are ghosts not animals. Vibe coding is dead. Software 3.0 is here. Watch it. Then read this. Because Karpathy tells you what Software 3.0 is. This shows you how to build one - a software factory with Claude Code that ships features while you sleep. The full build guide is below.

Forget the noise. If you want a solid foundation in AI, this 9-part @Stanford series is still one the gold standards. Just the core fundamentals explained by the people who teach this for a living. Lecture 1 - Transformer: → youtube.com/watch?v=Q86qzJ… Lecture 2 - Transformer-Based Models & Tricks: → youtube.com/watch?si=PxU67… Lecture 3 - Transformers & Large Language Models: → youtube.com/watch?v=VlA_jt… Lecture 4 - LLM Training: → youtube.com/watch?v=VlA_jt… Lecture 5 - LLM tuning: → youtube.com/watch?v=PmW_TM… Lecture 6 - LLM Reasoning: → youtube.com/watch?v=k5Fh-U… Lecture 7 - Agentic LLMs: → youtube.com/watch?v=h-7S6H… Lecture 8 - LLM Evaluation: → youtube.com/watch?v=8fNP4N… Lecture 9 - Recap & Current Trends: → youtube.com/watch?v=Q86qzJ… Master the basics, and the rest gets easy.

math is the real engineering toolkit what you actually need: linear algebra → vectors, matrices, ML calculus → change + motion probability → uncertainty as numbers graph theory → networks & connections optimization → best use of limited resources

If Steve Jobs were still alive, he would have the moral authority to face and maybe even to solve this problem. But I doubt anyone in the phone business now does.

MasterClass CEO David Rogier has sat down with hundreds of successful people, from tennis star Serena Williams to former Walt Disney CEO Bob Iger, to learn what sets them apart from everyone else. Rogier’s top takeaway: Some common myths about success need dispelling. “I think we have this myth that, if you just work hard, things will be OK [and] you’ll be successful,” says Rogier. “That’s not true.” Hard work, while essential, is just one necessary ingredient of success alongside pushing yourself out of your comfort zone, making mistakes and learning from those failures, he adds. Find out what other common myth he believes are worth debunking: cnb.cx/4uJcRIK

Karpathy just described what hiring looks like in 2026: "Build a large project with Claude Code — like a Twitter clone. Make it secure. Have real agents using the platform doing stuff." one person replacing an entire dev team. here's what he covers: > most founders can't build this themselves > most dev teams haven't adapted yet > the people who can build AI automations for projects are charging whatever they want this is the highest-leverage skill in tech right now. And the market is wide open. the article below is the full system. how to build AI automations. how to find clients. how to make real money doing it. bookmark & read this before your competition does.

Bill Ackman went on a fishing trip in the Tierra del Fuego, Argentina. His guide was so impressive that Ackman offered him a job at Pershing Square — one of the world's most powerful hedge funds. The only condition: read 12 books before your first day. Here are those 12 books. And why Ackman swears by them. 🧵

CEO: 1 human. Employees: AI agents. Operations: fully automatic. Anthropic just released the actual guide for this. Not a thread. Not a summary. The real thing. Bookmark and build your first AI agent.

Jensen Huang: It's easier to fall in love with what you do than to find what you love “A lot of people say, ‘Find something you love.’ I don’t know about that. I guess I’ve fallen in love with many things that I do. I loved it when I was a dishwasher. I loved it when I was a busboy. I loved it when I was delivering papers. I loved it when I was waiting tables.” Jensen continues: “I’ve loved every single job that I’ve ever had, and I’ve loved every single day at Nvidia that I’ve ever had. I just learned to love what I’m doing. It’s hard to find something that you love, but it’s easier to fall in love with what you’re doing. And once you fall in love with what you’re doing because you desperately want to do a good job at it, it’s easier to do it well and work hard.” Source: @NorgesBank (Nov 2023)

10 books to become high agency: 1) The Art of Doing Science and Engineering by Richard Hamming

2/2 The longer version of my case against conscious AI is in my 2025 @berggruenInst Prize essay – The Mythology of Conscious AI – published in @NoemaMag noemamag.com/the-mythology-…

1/2 Why AI is unlikely to become conscious – my 2026 @TEDTalks is now online. What do you think about the prospects for 'conscious AI'? ted.com/talks/anil_set…

Something for the weekend - my new @TEDTalks on 'why AI is unlikely to become conscious' ted.com/talks/anil_set…

"Many experts think that conscious AI is possible. I think they're wrong." Watch neuroscientist @anilkseth's full TED Talk here: t.ted.com/0NR6eGI

“Always keep going. The storm eventually ends.” — Kobe Bryant

Cloud infrastructure revenue came in at $129B in Q1 2026 (+36% YoY) 🚀 The market share by provider: 🟠 AWS | 28% (0%) 🔵 Azure | 21% (0%) 🟢 GCP | 14% (0%) ⚫ Others | 37% (0%) $AMZN $MSFT $GOOGL

Peter Thiel, co-founder of Palantir and PayPal, is leading a $140mn investment in a US start-up that plans to use wave energy to fuel giant fleets of floating data centres. ft.trib.al/BxRK2rJ

This 9-minute lecture by Nassim Taleb on "Probability Distribution" will teach you more about prediction trading than 2 months as a Quant intern at Jane Street. Bookmark it & give it 9-minutes today. It’ll be the most productive start for your week. Then read article below.

A professor at MIT spent his life studying uncertainty. Near the end, he compressed everything into a single one-hour lecture. No buzzwords. No heavy theory. Just a clear explanation of how prediction really works. Not long after, he was gone. This is that talk. The idea at its core is simple but powerful: prediction isn’t about being certain it’s about understanding probabilities Most people will scroll past it. A few will see it and start thinking differently. Save it.