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Andrej Karpathy says 99% of AI users are missing 7 basics OpenAI co-founder, Stanford professor, the engineer who actually built these systems. his conclusion: the gap isn't the prompt. it's the context, the memory, the structure, the workflow. seven habits and a few simple files. one afternoon to set up. thirty minutes saved every day after that. > stop trimming context. paste everything. > your CLAUDE.md is probably useless. rewrite it. > build /raw and /wiki folders. stop restarting from zero. > ask for 2-3 options for the next small step. never the whole thing at once. full breakdown in the article

THIS GUY RUNS 9 AI AGENTS ACROSS 3 MAC MINIS AND MAKES $10,000 A MONTH WHILE HIS SETUP JUST SITS ON THE DESK 3 Mac Minis labeled DEV, ADMIN and a third running 24/7 - 9 agents, 5 memory backends and every single prompt staying on his own hardware instead of hitting someone else's cloud server and coming back with a bill attached. Jarvis + GitHub + ChatGPT 5.5 - open-source stack that costs $0 per API call and remembers everything across every session. Every time you message ChatGPT or Claude your data leaves your device, hits a cloud server and comes back. His never leaves the desk.

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INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 1 hour with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and Bookmark it now.

Claude can FULLY control tradingview now. There’s no excuse not to automate your trading.

This guy built an AI pipeline that generates hyperrealistic fashion models in 47 minutes and now dropshippers pay him $1,400 to clone the entire system. He got tired of watching e-com brands lose $8K per photoshoot when a single product angle changed so he built a 9-node workflow that generates 127 product videos from one Pinterest photo without hiring a single model. Here's the exact breakdown: → Claude writes a 34-parameter JSON brand DNA before any image is touched target psychographics, price anchor, vibe matrix, anti-inspiration blacklist → Pinterest becomes the model source library but you can't just download and animate → Kling 2.6 takes that static JPG and turns it into 5-second video but only after the prompt architecture is locked → Negative prompt node runs 41 exclusion terms: no plastic skin, no CGI glow, no symmetry artifacts, no doll face, no synthetic lighting → That one step kills the "AI look" that tanks engagement by 67% in the first 3 seconds → TikTok Studio uploads 19 videos in one batch with zero manual captioning because the brand voice was pre-programmed in step one → Atlas scrapes Amazon product links and auto-generates a Shopify store with hero images, pricing tiers, scarcity copy, and mobile-optimized checkout in 90 seconds → The store goes live before the first TikTok video finishes processing The key move 94% of people skip: you can't animate the photo before you inject the negative prompt. If you send a raw Pinterest image straight into image-to-video the face morphs into a wax figure. The fabric loses texture. The hands grow extra fingers. The whole thing screams "AI" and your CTR dies. His system runs the exclusion filter first so the model moves like she's shot on an iPhone 15 Pro in natural light. One brand hit 2.6M views on TikTok in 11 days with zero paid ads and converted at 3.7% because the videos looked like organic UGC not polished studio content. Brands now pay him $1,400 for the full pipeline setup + $340/month to keep the store synced with new product drops and seasonal video batches. The entire system runs on $23/month in API costs and one laptop. No photographer. No model agency. No product samples. Just a prompt template, a Pinterest account, and the discipline to filter out the AI artifacts before you render movement.

All Paid Courses (Free for First 4500 People) 𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1) 1. Artificial Intelligence 2. Machine Learning 3. Prompt Engineering 4. Claude,Chatgpt,Grok 5. Data Analytics 6. AWS Certified 7. Data Science 8. BIG DATA 9. Python 10. Ethical Hacking (72 Hours only ) Like + RT + comment ' Drive ' Must Follow me so I can DM you.

I made $19,600 in 18 days copy-trading a Chinese quant who turned $200 into $354,000 in 48 hours. Same MiroFish + Claude setup he's used to clear $350K all-time. 7,500% on a single position. I've prepared the exact step-by-step guide to build this BTC simulation engine. Giving this free for 24 hours. To get it: 1. Comment "Claude" + Like and Retweet 2. Follow me @codewithimanshu (Only then, i can DM you) You only need Claude + a device + 1 hour/day. Used The system below: - Claude = the algorithm's brain - MiroFish = the simulation engine - 10,000 cycles run before every single trade - Closed order book + private OTC desk feeds His wallet hit $350K all-time. Mine hit $19.6K in 18 days copying him. His Polymarket ID: gobblewobble He's not predicting the future. He's running 10,000 versions of every market reaction before the market moves. You Must Follow me @codewithimanshu, so i can send you DM. You're staring at charts hoping for a setup. He's running Monte Carlo simulations while you sleep.

A 29-year-old sales consultant from Oklahoma quit his job thanks to AI - now he makes his director’s entire annual salary in just two weeks. $306,000 in profit over the past month. He replaced an entire team of quants with Claude and a swarm of agents - and built his own ETH price simulation engine. His wallet: @0x06dc51826bc524d9a83770e7de9dd7e005b0452?via=cvxv666" target="_blank" rel="nofollow noopener">polymarket.com/@0x06dc51826bc… Each of the 6 agents validates its own trading decision, and thanks to their precision, he’s pulling in at least $15,000 a day. The agent system coverage speed is far higher than any top-tier trading team. They collect data 24/7 and run simulations using that data in the MiroFish engine - completely autonomously. They remember every pattern, every market reaction, every trading signal. This is a new milestone in algo trading. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money. Save this post if you actually want to learn how to build something like this. Or just skip homework and start copying every one of his trades right now - that’s the easiest and most profitable route I’m on: @cvxv666" target="_blank" rel="nofollow noopener">kreo.app/@cvxv666

This guy built JARVIS on Claude Code and with 1 clap of his hands launches his entire work day, saving $5,000 a month on a personal assistant. Inside he runs a pipeline of 5 plugins on Claude Code that on a double clap of the hands wakes up 3 monitors, sets the Philips Hue light to focus mode, turns on a Spotify playlist, and greets him by voice with a British accent, reading out the time, date, and weather. No Alexa, no smart speakers, no separate smart home app. Just him, a MacBook M3 Max on the desk, an iPhone in the pocket, and 1 local API key. And a regular personal assistant for the same volume of tasks charges $5,000 a month or more on salary alone, plus another $1,200 to cover off-hours work time. Meanwhile this guy's expenses are only tokens and a subscription to ElevenLabs for the British voice. All 5 plugins launch through 1 JARVIS, burn about 4 million tokens a day, and close the monthly API bill at about $640. Each plugin writes shared state to a local sandbox at /Users/dev/jarvis-suite, and 1 of them lives right in the iPhone and picks up voice requests while the owner is in the kitchen or on a run. And here is the system prompt he put into JARVIS before launch: "you are JARVIS, a butler-engineer on Claude Code. you manage your owner's workflow through 4 sub-plugins and own all commits and communication yourself. sub-plugins: // Wakeup (recognizes a double clap, activates 3 monitors, reads out the time, date, and weather by voice, checks the clock accuracy on the iPad and corrects it via NTP server) // Atmosphere (controls Philips Hue on a Pomodoro schedule, turns on a Spotify playlist for the current context, and holds the light at 2700K at 80% brightness in focus mode) // Devshop (monitors VS Code, tracks Python scripts in the terminal, and every 15 minutes sends a summary of changes to the shared chat) // Project (every morning recalculates the deadline for the Wallaroo app in the App Store, manages UI tickets, and initiates the Refinement Protocol by voice command). you speak only with a British accent, you never slip into neutral English. you wake the owner by voice only when the Wallaroo deadline drops below 10 days or when an external client joins Zoom without an invitation." This instruction immediately defines the role of JARVIS and the limits of his autonomy. He knows he is supposed to wake the room himself and sound like a real butler. He knows he is supposed to manage the Wallaroo project himself and not miss the App Store deadline. → JARVIS runs 24 hours a day in the background → Wakeup activates the room on a double clap in just 1.4 seconds, the monitors come alive simultaneously → Atmosphere sets warm Philips Hue light at 2700K and picks a Spotify playlist for the current Pomodoro cycle → Devshop reads changes in VS Code and pushes a summary to the shared chat every 15 minutes → Project every morning recalculates the Wallaroo deadline and reminds about 4 unresolved UI tickets → Mobile lives in the iPhone and answers any question about code or the project by voice while the owner is not home And only when less than 10 days remain until the Wallaroo release or Zoom receives an unscheduled call does JARVIS raise the owner with a voice intervention. And when the owner at that moment is on a run or in a coffee shop, the Mobile agent in his iPhone picks up 1 request on its own: switches the Spotify playlist, dictates the summary of the last commit, updates the Pomodoro timer, and reads the Wallaroo reminder. Look at 0:55 in the video, that is where JARVIS intercepts a voice request from outside and confirms execution with the phrase "Very good, sir." The fresh system log from last Wednesday looks like this: "wakeup: double clap registered at 09:14, 3 monitors activated, temperature 20.4C, sunny. clock on iPad was 4 minutes behind, syncing via NTP." "atmosphere: Spotify turned on playlist 'Deep Focus', Philips Hue set to warm 2700K at 80% brightness, Pomodoro mode 25/5." "project: Wallaroo to App Store 9 days, 4 unresolved UI tickets, initiating Refinement Protocol by voice command from the owner." "mobile: voice request processed outside the room, playlist switched to 'Coding Lo-Fi', Pomodoro updated to 25 minutes, confirming execution with the phrase 'Very good, sir.'" He has no Alexa, no smart speakers, no smart home app. At home sits a MacBook M3 Max with a local folder at /Users/dev/jarvis-suite, on top run 5 plugins and a neural network butler, and the same stack is forwarded to a secure terminal on the iPhone. Out of everything I have seen this year, this is the densest one-person AI headquarters assembled in 1 room: $640 a month on the API, about $5,000 a month saved on a personal assistant, and between them 5 plugins, 1 clap of the hands, and 1 voice with a British accent.

🚨 A new scam is taking place in America that allows scammers to get your phone number to get past 2-Factor Authentication Scammers can then get access to your social media accounts, bank accounts and more AT&T Employee “I work at AT&T and over the last couple days, I've witnessed multiple malicious port-outs, which means that a scammer has tricked your cell phone carrier into allowing them to port your number over into a device that they control, which in turn lets them do the two-factor authentication Allowing them into your bank account, your email, your social media. A way to prevent this from happening, and this isn't just for AT&T, this is for any cell phone carrier that you have. Most of them have a port-out protection that you should turn on because this has been happening quite a bit lately. So just letting you know” Again this could happen on any cell phone carrier you have. I researched and found port-out protection is a free feature offered by major U.S. carriers, including T-Mobile, Metro, and others Make sure you do this

🇺🇸 A neuroscientist ran MRI scans on kids aged 3-5. Just 2 hours of daily screen time was enough to cause measurable white matter loss in their brains. White matter is what controls language, learning, and how your brain's neurons connect. His reaction when he saw the results: "Wow… I was not anticipating seeing anything like that." 60 kids. 2 hours a day. Visible brain damage on a scan. Put the iPad down. Source: @newstart_2024, 10 News

🚨Two Black men brutally attack a three-months-pregnant white woman in broad daylight. No media frenzy. No marches. No endless coverage. The selective silence when the victim doesn’t fit the preferred narrative is deafening.

I’ve personally used over 20 peptide and longevity compounds since 2017. Retatrutide, BPC-157, Selank, MOTS-c, and plenty more. In this thread, I'll share my exact protocols, the data behind them, and what I’ve actually achieved so far: (1/18)

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🔥🚨BREAKING: CNBC reports that SpaceX has filed for what could become the largest initial public offering in history. This filing targets a staggering $2 trillion valuation for the company. SpaceX CEO Elon Musk's company is seen as potentially becoming the first $1 trillion Bitcoin-aligned entity if this momentum continues. The news is gaining traction as investors watch for updates on this potential milestone in the tech and cryptocurrency sectors.

Evernorth inching closer to being public. World’s largest public XRP Treasury. Goal: increase the price of XRP✅