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10 Powerful Visuals You NEED To See... 1.

@Replit has introduced a more refined approach to referrals. Gift a friend one month of Agent 4, and both parties receive an additional month at no cost. A straightforward, mutually beneficial model that actually delivers value.

CLAUDE + YouTube = $$$$ Most people are doing YouTube wrong. You don’t need skills, gear, or experience. You need this 7-prompt system👇

How can you achieve 1000 times your current level of life?

🚨 BREAKING: Claude can now build your entire resume and LinkedIn profile like a $500/hour executive recruiter from Robert Half. For free. Here are 12 prompts that get you interview calls within 7 days: (Save this before it disappears)

🚨BREAKING: You can now run Claude Code for FREE. No API costs. No rate limits. 100% local on your machine. Here's how to run Claude Code locally (100% free & fully private):

🚨 BREAKING: Claude can now build your entire resume and LinkedIn profile like a $500/hour executive recruiter from Robert Half. For free. Here are 12 prompts that get you interview calls within 7 days: (Save this before it disappears)

🚨 BREAKING: Claude can now build your entire resume and LinkedIn profile like a $500/hour executive recruiter from Robert Half. For free. Here are 12 prompts that get you interview calls within 7 days: (Save this before it disappears)

🚨BREAKING NEWS: Claude can now create a complete video channel for you with AI from scratch, like a $10K creator consultant (free). Here are 10 prompts that take you from zero to a monetized AI video channel in 90 days: (Save for later)

120 Mind-Blowing AI Tools; 1. Ideas - YOU - Claude - ChatGPT - Perplexity - Bing Chat 2. Presentation - Prezi - Pitch - PopAi - Slides AI - Slidebean 3. Website - Dora - Wegic - 10Web - Framer - Durable 4. Writing - Rytr - Jasper - Copy AI - Textblaze - Writesonic 5. AI Models - RenderNet - Glambase App - Luma AI - Sora (OpenAI) - Leonardo AI 6. Meeting - Tldv - Krisp - Otter - Avoma - Fireflies 7. Chatbots - Poe - Claude - Gemini - ChatGPT - HuggingChat 7. Automation - ClickUp - Drift - Outreach - Emplifi - Phrasee 8. UI/UX - Uizard - Visily - Khroma - Galileo AI - VisualEyes 9. Image - Stylar - Freepik - Phygital+ - StockIMG - Bing Create 10. Video - Pictory - HeyGen - Nullface - Decohere - Synthesia 11. Design - Looka - Clipdrop - Autodraw - Vance AI - Designs AI 12. Marketing - AdCopy - Predis AI - Howler AI - Bardeen AI - AdCreative 13. Twitter - Typefully - Postwise - Metricool - Tribescaler - TweetHunter

8 year old kids are making $20,000/month using AI. But most people don't know how to use it to generate income. Here are 8 amazing AI tools you can use to start making money online:

Free courses on AI agents to help you upskill in 2026. It covers; ✳ Multi AI Agent Systems with crewAI Learn how to build multi-agent systems using crewAI. Link: lnkd.in/eM-hFBqJ ✳ Foundations of Prompt Engineering (AWS) Master prompt basics with this free AWS course. Link: lnkd.in/e5PhYtiX ✳ Introduction to LangGraph Learn graph-based agents with Harrison Chase. Link: lnkd.in/eAXK-Nw5 ✳ Large Language Model Agents MOOC Deep dive into LLM agents with Dawn Song. Link: lnkd.in/e5mDib3P ✳ AI Agents in LangGraph Build agents with LangGraph + LangChain. Link: lnkd.in/eZDwizet ✳ Building AI Agents with Multimodal Models Use vision + language models with Nvidia. Link: lnkd.in/eW3-rSJ7 ✳ AI Agentic Design Patterns with AutoGen Learn agent design patterns from Microsoft. Link: lnkd.in/eefeXCfC ✳ LLMs as Operating Systems: Agent Memory Use LLMs as operating systems with memory. Link: lnkd.in/eDK_i8Yi ✳ Building Agentic RAG with LlamaIndex Build fast RAG agents with LlamaIndex. Link: lnkd.in/eJ5fmKX3

MrBeast literally explained why obsessing over human attention will always beat trying to hack an algorithm:

Naval Ravikant: "The only true test of intelligence is if you get what you want out of life" "There are two parts to that. One is getting what you want, so you know how to get it. The second is wanting the right things, knowing what to want in the first place. I could want to be a 6'8" basketball player and I'm not going to get that. That's wanting something you can't get. But there's also wanting something that's a booby prize, prizes that are just not worth having, or that create their own problems." Naval explains how people end up in places they never meant to be: "If you're not careful, you can end up in a place in life not only that you don't want to be, but one you didn't even mean to get to. Usually people end up there because they're going on autopilot with societal expectations. Or out of guilt. Or out of mimetic desire, our desires are picked up from other people. Go to law school, go to med school, go to business school. Or it might be what your parents expect. Guilt is just society's voice speaking in your head so you'll be a good little monkey." He shares a problem most people have: "We run on these four-year cycles. You join a startup, you vest over four years. College is four years. High school is four years. You go to law school, that's a 5-year cycle. You become a lawyer, that's a 40-year cycle. These are very long cycles. But the amount of time we spend deciding what to do and who to do it with? Very short. We spend one month deciding on a job where we're going to be for 10 years." Naval's rule: "If you're making a four-year decision, spend a year thinking it through. Really thinking it through. 25% of the time." He explains the Secretary Theorem: "It turns out the optimal time to search is about a third. By a third of the way through, you've seen enough to know what the bar is. Then anybody who meets or exceeds that bar is good enough. But here's the key: it's not time-based. It's iteration-based. You need to take opportunities quickly and bail out quickly. If you look at failed relationships, the biggest regret is usually staying after you knew it was over." Naval reframes the 10,000 hour rule: "Malcolm Gladwell popularized 10,000 hours to mastery. I'd say it's actually 10,000 iterations to mastery. Iteration is not repetition. Repetition is doing the same thing over and over. Iteration is modifying it with learning and doing another version. That's error correction. If you get 10,000 error corrections in anything, you will be an expert." On pessimism vs. optimism: "You want to be skeptical about specific things, every specific opportunity is probably a fail. But you want to be optimistic in the general. Something in here is going to work out. If something fails, it was a learning experience. It was an iteration. As long as you learned something, it's a win. You don't want to jump into the first thing. But once you find the match, you have to be willing to go all in. Move your chips to the center of the table." He concludes: "Most people are stuck in this gray bit. 'I'm half in, but I don't really know.' That doesn't work. It's a barbell strategy, black or white. Explore quickly, cut losses fast. Then when you find the right thing, compound into it."

In 1910, America's 6 most powerful men disappeared without a trace. They used fake names and met in total secrecy on a remote island. But what came out of that meeting changed the U.S. economy forever. Here's the story of the secret meeting on Jekyll Island:

The most dangerous question in history: "What is justice?"

High cortisol doesn't just make you stressed. It tanks testosterone, shrinks your brain, and makes belly fat nearly impossible to lose. Here are 9 cheat codes to reduce it naturally (backed by science): 🧵 1. Eat real meals, not constant snacks

Use these ChatGPT prompts to finish hours of work in seconds🔖

Apple can't even fix Siri but they're making more money from AI than companies spending 30x more. They pulled in $900 million from AI apps last year. On track to cross $1 BILLION in 2026. Not by building AI models or spending hundreds of billions on data centers... But simply by charging everyone else a 30% tax for the privilege of reaching iPhone users. OpenAI, Google, Anthropic, xAI. Every major AI company on the planet pays Apple a cut every time someone subscribes to ChatGPT, Gemini, Claude, or Grok through the App Store. 75% of that $900 million came from ChatGPT alone. Meanwhile, here's what Apple's competitors spent on AI last year: Amazon: $100+ billion Microsoft: $80 billion Google: $75 billion Meta: $65 billion Combined: almost $400 billion. Apple's AI spend? $12.7 billion. A fraction. And Apple is STILL making a billion dollars from AI while spending 30x less than the competition. Morgan Stanley projects Amazon's free cash flow will go NEGATIVE this year. Potentially by $28 billion. Barclays says Meta's free cash flow could drop 90%. These companies are hemorrhaging cash trying to build the future of AI. Apple just sits there collecting rent. Think about the absurdity of this situation: Sam Altman raised $110 billion for OpenAI. Spent years and billions building ChatGPT. Got 900 million weekly users. Built the most popular AI product in history. And Apple takes 30% of every subscription that flows through the iPhone. Altman does the work. Apple gets the cut. Google spent $75 billion on AI infrastructure and is STILL paying Apple $20 billion a year to be the default search engine on iPhones. Now Apple is collecting ANOTHER revenue stream from Google's Gemini app subscriptions on top of that. Google pays Apple coming and going. The strategy is so simple it's almost offensive. Every other tech company is in an arms race. Burning cash. Building data centers. Training frontier models. Fighting over who has the best AI. Apple's strategy: Let them fight. Whoever wins still needs the iPhone to reach consumers. And whoever reaches consumers through the iPhone pays us 30%. Apple is the toll road for AI. And here's the thing that makes it even more brutal: Siri is STILL terrible. Apple's own AI assistant is years behind ChatGPT and Claude. They're literally partnering with Google's Gemini to replace the brains behind Siri because they couldn't build it themselves. Apple LOST the AI technology race. But it doesn't matter. Because they won the distribution race decades ago. 2.4 billion active iOS devices worldwide. The App Store processes every major AI subscription. And Apple takes a cut of all of it. Wedbush analyst Dan Ives estimates Apple's AI layer alone could be worth $1.5 trillion over the coming years. Adding $75 to $100 per share just from being the middleman. No data centers. No training runs. No frontier models. No billion-dollar compute bills. Just 2.4 billion devices and a 30% tax on everyone who wants to reach them. This is the most underrated business model in the entire AI industry. Everyone's debating who builds the best AI. Apple's already decided it doesn't matter. Because whoever wins still pays them. Do y'all think Apple is making the right move by not participating in the AI race?

🚨This is absolutely amazing…You can now run a full AI + Wikipedia + offline maps computer that works when every server on Earth goes dark. It's called Project N.O.M.A.D. and it's completely free. Two commands to install on any Ubuntu machine: curl the script. sudo bash it. What you're running locally: → Offline Wikipedia via Kiwix → OpenStreetMap with no internet → Local LLMs via Ollama + OpenWebUI → ZIM offline archive library → Zero telemetry. Zero cloud dependency. Opens in your browser. Works on a Raspberry Pi. Most people are one internet outage away from having nothing. This is the alternative. 100% Open Source. MIT License.

In 1993, Goodby Silverstein & Partners ran a strange experiment with California milk. They asked focus group participants to stop drinking milk for a week. Nobody talked about nutrition. Nobody talked about calcium or strong bones. They talked about dry Oreos. Peanut butter stuck to the roof of their mouths. Cereal sitting in a bowl with nothing to pour. So the agency changed one small thing. They stopped selling milk for what it gave you. They started selling the moment you didn’t have it. The tagline was two words. Grammatically wrong. The agency’s own co-founders called it lazy. Jeff Goodby and Rich Silverstein almost killed it before it launched. But CMPB executive Jeff Manning pushed it through. “Got Milk?” ran for the first time in October 1993. California milk sales reversed 7% in year one, ending a 20-year decline. The campaign ran for 20 more years, featured 300+ celebrities, and brought $23.5 billion to California dairy. Adweek later named it Campaign of the Decade. Nothing about milk changed. The price stayed the same. The product stayed the same. Only the feeling changed. People had spent years being told milk was healthy. 96% already believed it. That argument was already won. The campaign didn't re-litigate it. “Got Milk?” made people feel the moment they were about to run out... and that feeling sold more than any health claim ever could. --- Thanks for reading! Enjoyed this post? Follow @BigBrainMkting for more content like this.