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Every Storm Runs Out of Rain

The Complete Data Center Stack: Where the AI Infrastructure Money Flows Most investors still think AI is just about GPUs. That’s incomplete. AI is an infrastructure buildout, and the real opportunity spans the entire data center stack. Every inference, every training run, and every deployed model depends on multiple layers working together. Here’s the breakdown: 1. Compute Silicon (The Brain) Tickers: $NVDA, $AMD, $AVGO, $INTC This is the foundation. GPUs, CPUs, accelerators, and custom silicon power training and inference. Why it matters: - Compute demand keeps rising with larger models - AI workloads are forcing faster chip innovation - Custom ASICs are becoming a major trend 2. Server OEMs & Solutions (The Hardware Layer) Tickers: $SMCI, $DELL, $HPE, $VRT, $ETN, $MOD Chips need systems. These companies assemble and deliver the physical AI servers and power systems. Why it matters: - AI racks are denser and hotter - Power distribution is now critical - Cooling is becoming a competitive advantage 3. Memory & Storage (The Hidden Bottleneck) Tickers: $SNDK, SK Hynix, $MU, $WDC, $P, Samsung, $NTAP AI models consume massive amounts of memory bandwidth and storage. Why it matters: - High-bandwidth memory is becoming strategic infrastructure - Data storage demand rises with AI deployment - Faster access = better model performance 4. Networking & Connectivity (The Nervous System) Tickers: $ANET, $CSCO, $MRVL, $CRDO, $CIEN, $NOK AI clusters must communicate at ultra-high speed. Why it matters: - Faster networking reduces latency - Data movement is becoming expensive - Scale depends on interconnect efficiency Key idea: AI cannot scale without bandwidth. 5. Neoclouds & Physical Infrastructure (The New Builders) Tickers: $NBIS, $IREN, $CRWV, $APLD $CIFR $DGXX These companies provide specialized AI infrastructure and hosting. Why it matters: - Cloud alternatives are growing - AI-native infrastructure is becoming valuable - Capacity shortages create pricing power 6. Energy (The Ultimate Constraint) Tickers: $CEG, $NEE, $EOSE, $GEV, $EQT, $VST $OKLO $BE $FLNC AI consumes enormous electricity. Power availability is becoming a limiting factor. Why it matters: - Grid demand is surging - Battery storage is essential - Reliable baseload power matters Final Thought The market often focuses on one winner. But AI infrastructure is an ecosystem. If you want to understand where capital flows next, follow the stack: Compute → Servers → Memory → Networking → Infrastructure → Energy The biggest winners in the AI cycle may not always be the obvious names. Sometimes the best opportunities are in the supporting layers that make the whole system possible.

He predicted the 1987 crash. Made $100M. Then spent years trying to destroy this footage. In this documentary, you’ll watch Paul Tudor Jones: – Lose $6M in a single afternoon – Sit back and say: “total devastation” – Then make it all back… +100% This will change how you see risk forever. Bookmark this. Watch it. Then read below ↓

🚨BREAKING: Two researchers from UPenn and Boston University just published a paper that should be uncomfortable reading for every CEO automating their workforce right now. The argument is straightforward. Every company replacing workers with AI is also eliminating its own future customers. Laid off workers stop spending. Enough of them stop spending and nobody can afford to buy anything. The companies that fired everyone end up selling into an economy with no purchasing power left. Every executive can see this. The math is not complicated. But here is why nobody stops. If you do not automate, your competitor does. They cut costs, lower prices, take your market share, and you collapse anyway. So every company automates knowing it is collectively destructive because the alternative is dying alone while everyone else survives. The researchers proved this is a Prisoner's Dilemma playing out in real time. The numbers are already moving. Block cut nearly half its 10,000 employees this year. Jack Dorsey said AI made those roles unnecessary and that within the next year the majority of companies will reach the same conclusion. Salesforce replaced 4,000 customer support agents with AI. Goldman Sachs deployed a coding tool that lets one engineer do the work of five. Over 100,000 tech workers were laid off in 2025 and AI was cited as the primary driver in more than half those cases. 80% of US workers hold jobs with tasks susceptible to AI automation. The researchers tested every proposed solution. Universal basic income does not change a single company's incentive to automate. Capital income taxes adjust profit levels but not the per-task decision to replace a human. Collective bargaining cannot hold because automating is always the dominant strategy. They also identified what they call a Red Queen effect. Better AI does not solve the problem, it accelerates it. Every company chases faster automation to gain market share over rivals but at the end everyone has automated equally, the gains cancel out, and the only thing left is more destroyed demand. The one thing the math says could work is a Pigouvian automation tax. A per-task charge that forces companies to account for the demand they destroy each time they replace a worker. The conclusion is that this is not a transfer of wealth from workers to owners. Both sides lose. Workers lose income. Companies lose customers. It is a deadweight loss with no market mechanism to stop it on its own. (Link in the comment)

The $20/month Claude plan is enough. But only if you stop making these 17 mistakes: 1: You upload PDFs raw. One page = 3,000 tokens. Fix: Paste the text into a Google doc. Download as .md format. Under 200 tokens. 2: You build files inside Cowork too early. Fix: Plan in Chat first. Move to Cowork only when you know exactly what you want. 3: You write 500-word prompts that reload. Fix: Write 29 words instead: "I want to [task] to [goal]. Ask me questions using AskUserQuestion." 4: You say "redo the whole thing" to correct part 3. Fix: "Only redo section 3. Keep everything else. No commentary. Just the output." 5: You send 3 separate messages for 3 tasks. Fix: One message, three tasks. "Summarize this, list the points, suggest a headline." 6: You type "No, I meant," stacking on the history. Fix: Click 'Edit' on your original message. Fix it. Regenerate. History replaced, not added. 7: You use the Opus model for a grammar check. Fix: Sonnet or Haiku for quick tasks. Save Opus + Extended Thinking for deep work. 8: You dump 50 files into Cowork "just in case." Fix: Only include what this task needs. Zero folders for quick tasks like email drafts. 9: You never restart fresh & keep having long chats. Fix: Every 15-20 messages → summarize, copy the brief, start a fresh session. 10: You keep 3 topics in 1 chat. Claude re-reads all. Fix: New topic = new chat. Always. Dead context is dead tokens. 11: Your about-me file is 22,000 words (too long). Fix: Trim to under 2,000 words. End sessions with "Write a session-notes.md." Paste my .md file prompt: ruben.substack.com/p/how-to-stop-… 12: You leave search & connectors on by default. Fix: Default everything off. Turn features on per task, not per account. 13: You upload the same PDF to 5 different chats. Fix: Use Projects. Upload once. Every chat inside references it without re-burning tokens. 14: You skip Personal Preferences & waste setup. Fix: Settings → Personal Preferences. Set your tone and style once. It persists forever. 15: You rewrite prompts from scratch every time. Fix: Keep a prompt library. Same structure, swap the variable. Stable prompts get cached. 16: You manually run the same report every week. Fix: Use /schedule. "Every Monday at 7am, create my weekly briefing." Wake up to a finished doc. 17: You use Claude for things it can't do. Fix: Know your tools. Images → Gemini. Real-time search → Grok. Stop burning tokens on dead ends. ----- To download all of my Claude infographics: Step 1. Go to how-to-ai.guide. Step 2. Subscribe for free. Don't pay anything. Step 3. Open my welcome email (most skip this). Step 4. Hit the automatic reply button inside. Step 5. Download my infographics from my Notion. Bonus. Enjoy my best copy-paste prompts, too.

Don't type another prompt into Claude. Do these 9 simple things first: 1. Download the Claude app Claude .ai works. But the desktop app is better. Go to claude .com/download. Install it now. 2. Pick the Right Model Select Opus 4.6. Turn on Extended Thinking. Click models → Opus 4.6 → Extended Thinking ON. 3. Use Cowork, Not Chat Cowork reads your actual files. Chat doesn't. Point Claude to your project folder. It reads everything before responding. 4. Build Your Folder Structure Create 4 folders: ABOUT ME, PROJECTS, TEMPLATES, CLAUDE OUTPUTS. Example: Who you are, your work, your best templates & where Claude delivers. 5. Write Your "About Me" md File .md file about who you are, your work, thinking. Example: Claude reads it before every response. Less prompting, better output. 6. Write Your Anti-AI Style File A .md file listing every word & pattern you refuse. Example: Ban "delve," "landscape," "leverage." Claude follows it. You stop sounding like a robot. To download mine, go here: how-to-ai.guide. Don't pay anything. It's free in the welcome email. 7. Start Asking End prompt with: "Ask me clarifying questions first." Example: Claude generates a form. You answer. The output jumps 2–3 levels. 8. Set Up Global Instructions Go to Settings → Profile → Global Instructions. Example: Write how you write, what you hate & like. Claude reads this before every single conversation. 9. Edit Your Prompt Don't send a new message. Edit the first one. Example: Every follow-up eats tokens. Editing keeps your context clean. I made over 100+ infographics like this. If you want to download all of them, just: 1. Go to how-to-ai.guide. 2. Then enter your work email. 3. It will ask you to pay or not. Don't pay. 4. Wait 2 min. Then open the welcoming email. 5. Click on my Notion library with everything in it. Disclaimer: you will be subscribed to my newsletter. It's free, and always will be. Some people pay only to join my community & get answers faster. 400,000 readers enjoy it twice a week. To always stay ahead of the AI curve. To master AI, before it masters you. ♻️ Help others get better at Claude.

People think learning AI takes months. It's really just a couple of hours. And I wrote 17 free guides to start right away: Claude 101: ruben.substack.com/p/claude Claude Code: ruben.substack.com/p/claude-code Claude Skills: ruben.substack.com/p/claude-skills Nano banana 2: ruben.substack.com/p/banana-2-3bd Claude in Excel: ruben.substack.com/p/ai-couldnt-d… Best AI for Search: ruben.substack.com/p/grok-420 1M followers with AI: ruben.substack.com/p/1000000 Claude for your team: ruben.substack.com/p/claude-for-t… No prompt saves you: ruben.substack.com/p/magic AI Slides (PPT in 2026): ruben.substack.com/p/powerpoint Set up Claude Cowork: ruben.substack.com/p/claude-cowor… Claude to sound like you: ruben.substack.com/p/i-am-just-a-… Claude interactive charts: ruben.substack.com/p/claude-charts Claude as your computer: ruben.substack.com/p/claude-compu… Claude Cowork + Project: ruben.substack.com/p/claude-cowor… You're an AI workaholic: ruben.substack.com/p/ai-holic Setup AI before prompting: ruben.substack.com/p/how-to-bette… ___ 1. Save this list for later (three dots, top right). 2. Share it with a friend by ♻️ reposting this image. 3. Subscribe to my free newsletter: how-to-ai.guide.

1. Claude (solve any problem) 2. Perplexity (research anything) 3. Klingai (create AI videos) 4. Tripo AI (create 3D models) 5. Suno (compose music) 6. Gemini (perfect writing) 7. Capcut (edit videos) 8. Youlearn (summarize YouTube) 9. Canva (design graphics) 10. ElevenLabs (clone voices) 11. Descript (edit podcasts) 12. ✅ Save this list, it might be incredibly useful.

RSA 2026 is now in Agentic AI era

BREAKING: Silver has lost 43 percent of its value since January 29th. It set an all-time high of $121.67 that day. It closed Friday at $69.50. In less than eight weeks, nearly half the value of the world’s most hyped precious metal evaporated while Chinese banks sold out 600 kilograms of gold bars every morning in under a minute. Two metals that were supposed to move together in a war moved in opposite directions so violently that the divergence is no longer a market event. It is a verdict. Gold is money. Silver is an industrial metal that cosplays as money until the moment it has to choose. The moment arrived on February 28 when the first bombs fell on Iran. Silver chose the factory. Upwards of 60 percent of silver demand is industrial. JP Morgan’s commodities desk confirmed the figure this year: electronics, AI chip packaging, solar panels, electric vehicle wiring, semiconductor conductivity, data centre contacts. When energy prices spike from a Gulf war that closed the Strait of Hormuz, every factory that consumes silver faces higher input costs. When those costs trigger stagflation, central banks respond with rate hikes. The Federal Reserve now prices a 50 percent probability of hiking by October. The ECB and Bank of England are repricing three or more hikes each in 2026. Higher rates strengthen the dollar. A stronger dollar crushes metals priced in dollars. Silver’s monetary thesis collapsed under the weight of its own industrial identity. Gold has no industrial identity to collapse. Gold sits in vaults. It does not cool wafers. It does not conduct current through chip packaging. It does not solder solar cells. Gold fell from $5,589 in January to approximately $4,494 this week. But Chinese retail buyers bought the dip in under 60 seconds every morning. The PBOC extended its purchasing streak to 16 consecutive months. Seventy-seven percent of central banks intend to increase gold reserves. The paper price dropped. The physical demand did not. Gold’s floor is not a price. It is a policy. Silver has no central bank buyer of last resort. No PBOC purchasing 16 months straight. No 600-kilogram quotas selling out at dawn. Silver’s floor is factory demand, and factory demand just absorbed three simultaneous shocks: energy costs from the war, rate hikes from the inflation the war caused, and a helium shortage from the same war that is strangling the semiconductor fabs where silver is consumed. Qatar’s Ras Laffan complex supplied 30 to 33 percent of global helium before Iran struck it. Helium is irreplaceable in chip fabrication: wafer cooling, vacuum environments, lithography stability, leak detection. SK Hynix sourced 64.7 percent of its helium from Qatar. Fabs are reporting two to three months of buffer. When helium runs short, production slows. When production slows, silver demand for chip packaging falls. The helium trap does not just threaten NVIDIA’s GPU supply chain. It threatens the industrial demand that is silver’s only remaining thesis. From $121.67 to $69.50 in less than eight weeks. Gold fell too but found a floor built by a billion Chinese citizens and 77 percent of the world’s central banks. Silver found no floor because no sovereign institution accumulates silver as a strategic reserve. No nation builds monetary sovereignty from a metal that loses half its value when the factories that use it shut down. The war revealed what silver is. It is a commodity with a monetary story attached. The story holds during calm. The story breaks during war. Gold needs no story. Gold is the story. open.substack.com/pub/shanakaans…

This is WILD. Peter Thiel just bet $2 billion on a collar that wraps around a cow’s neck. The company is called Halter and it has a proprietary algorithm that runs the entire operation. They actually trademarked the name for it and called it the Cowgorithm and here's how it works. A farmer opens an app, taps a button, and 600,000 cows across three countries start walking toward the milking station on their own. No farm dogs, fences or physical labor, it's just a solar-powered GPS collar sending sound and vibration cues to each animal. The collar does more than move cows around. It monitors digestion, fertility cycles, and health patterns in real time, 24 hours a day, using machine learning trained on the behavior of hundreds of thousands of animals. Halter was founded by a rocket engineer who built spacecraft at Rocket Lab before deciding that farming was the bigger unsolved problem. US ranchers alone have already used the technology to build over 11,000 miles of virtual fencing, roughly the full perimeter of the continental United States, saving an estimated $220 million in physical fencing costs. Halter's previous funding round valued the company at $1 billion. This new round, led by Thiel's Founders Fund, doubles that valuation to $2 billion before the new money even hits the account. And they charge farmers between $5 and $8 per animal per month on a subscription model, meaning the more cows they collar, the more locked-in the revenue becomes. The most powerful venture capitalist on earth just decided that the future of food and farming runs through an algorithm named after a cow. He might be right.

10 Completely FREE AI Courses for 2026: 1. Anthropic: anthropic.skilljar.com 2. Google: grow.google/ai 3. Meta: ai.meta.com/resources 4. NVIDIA: developer.nvidia.com/training 5. Microsoft: learn.microsoft.com/training 6. OpenAI: academy.openai.com 7. IBM: skillsbuild.org 8. AWS: skillbuilder.aws 9. DeepLearningAI: deeplearning.ai 10. Hugging Face: huggingface.co/learn

#hanginthere Punch

1979 :: This Is How Indian Media Used to Report Before India - Pakistan Matches ' Will Pakistan Thrash Us ! '

In an interview I asked Imran Khan why Pakistan beats India so often. He said India kept losing because they were so afraid of being defeated by Pakistan. That equation has completely reversed. It’s Pakistan that are paranoid about losing to India. #INDvsPAK