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predicting the future with code / ai × finance / tg: shmidtqq

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Elon Musk realizing some guy turned a dead X account into $9,000/month on 2 hours a day and leaked the whole playbook for free

Elon Musk realizing some guy turned a dead X account into $9,000/month on 2 hours a day and leaked the whole playbook for free

6,081,888 views

LEAKED: Warner Bros and Pixar executives just called an emergency meeting after this 15-second render hit the internet. A 20-year-old solo creator generated a full 3D Looney Tunes action sequence of Wile E. Coyote riding an ACME rocket through Monument Valley, with ZERO CGI studio budget. Setup cost: $19. Render speed: 90 seconds. Animation studio: Bypassed entirely. 210 million views in 3 hours. Half the comments are screaming that it’s leaked footage from the shelved $70M "Coyote vs. ACME" movie, the other half are looking for a pre-order ticket link. Here are the details breaking the human brain: 1. Dynamic Micro-Fur Resistance: Real-time aerodynamic wind drag bending the Coyote’s ears, facial whiskers, and tail fur at Mach speeds. 2. Heat Haze Physics: Volumetric jet-flame heat distortion warping the red rock desert canyons continuously behind the ACME thruster. 3. Photorealistic Dust & Lighting: True particulate dust displacement off the dirt road synced with dynamic ray-traced camera tracking. The cutting-edge neural pipeline behind it: -> Gemini 3.6 Flash for writing spatial vector physics, acceleration logic, and camera tracking trajectories -> Sora Turbo for rendering hyper-realistic 3D character motion, desert landscape depth, and cinematic lighting shifts -> Kling 3.0 Omni for multi-agent physics, fur resistance dynamics, and jet-thruster particle effects -> Seedance 2.5 for locking Looney Tunes character geometry, ACME branding alignment, and stylistic continuity -> ElevenLabs Spatial for 3D binaural rocket thruster roar, wind shear acoustics, and canyon reverberation -> CapCut Pro for adding dynamic camera shake, motion blur speed ramps, and cinematic color correction Warner Bros spent $70,000,000 making "Coyote vs. ACME" only to lock it in a vault for tax write-offs. This solo creator rendered a box-office animation masterpiece before his morning coffee got cold.

LEAKED: Warner Bros and Pixar executives just called an emergency meeting after this 15-second render hit the internet. A 20-year-old solo creator generated a full 3D Looney Tunes action sequence of Wile E. Coyote riding an ACME rocket through Monument Valley, with ZERO CGI studio budget. Setup cost: $19. Render speed: 90 seconds. Animation studio: Bypassed entirely. 210 million views in 3 hours. Half the comments are screaming that it’s leaked footage from the shelved $70M "Coyote vs. ACME" movie, the other half are looking for a pre-order ticket link. Here are the details breaking the human brain: 1. Dynamic Micro-Fur Resistance: Real-time aerodynamic wind drag bending the Coyote’s ears, facial whiskers, and tail fur at Mach speeds. 2. Heat Haze Physics: Volumetric jet-flame heat distortion warping the red rock desert canyons continuously behind the ACME thruster. 3. Photorealistic Dust & Lighting: True particulate dust displacement off the dirt road synced with dynamic ray-traced camera tracking. The cutting-edge neural pipeline behind it: -> Gemini 3.6 Flash for writing spatial vector physics, acceleration logic, and camera tracking trajectories -> Sora Turbo for rendering hyper-realistic 3D character motion, desert landscape depth, and cinematic lighting shifts -> Kling 3.0 Omni for multi-agent physics, fur resistance dynamics, and jet-thruster particle effects -> Seedance 2.5 for locking Looney Tunes character geometry, ACME branding alignment, and stylistic continuity -> ElevenLabs Spatial for 3D binaural rocket thruster roar, wind shear acoustics, and canyon reverberation -> CapCut Pro for adding dynamic camera shake, motion blur speed ramps, and cinematic color correction Warner Bros spent $70,000,000 making "Coyote vs. ACME" only to lock it in a vault for tax write-offs. This solo creator rendered a box-office animation masterpiece before his morning coffee got cold.

33,153 views

My reaction when I paid $20 for Claude with limits... and on April 7, GLM-5.1 was released, which tears it up and works for free according to the guide below

My reaction when I paid $20 for Claude with limits... and on April 7, GLM-5.1 was released, which tears it up and works for free according to the guide below

530,176 views

A 15-year-old just pulled $500K on Shopify. From his bedroom. $33/month in tools. No team. No course. No investors. The trick: he stopped using AI like a search bar. He wrote six job descriptions and hired it as a 6-person team. One finds the product. One vets suppliers. One writes the page. One writes ad scripts. One answers 81% of support tickets while he sleeps. One tells him every Sunday what's broken. While you're reading this, someone just copied his stack.

A 15-year-old just pulled $500K on Shopify. From his bedroom. $33/month in tools. No team. No course. No investors. The trick: he stopped using AI like a search bar. He wrote six job descriptions and hired it as a 6-person team. One finds the product. One vets suppliers. One writes the page. One writes ad scripts. One answers 81% of support tickets while he sleeps. One tells him every Sunday what's broken. While you're reading this, someone just copied his stack.

415,253 views

NVIDIA just made paying for AI feel optional. Open model, a million tokens of context, free tier with no per-token cost, runs on your own hardware. Entire codebases, whole data rooms, a year of chat logs, all swallowed in one prompt. No chunking, no RAG, no rate limit theater. The closed-AI premium has 90 days to defend itself. Bookmark this and come back. Open beat closed. Again.

NVIDIA just made paying for AI feel optional. Open model, a million tokens of context, free tier with no per-token cost, runs on your own hardware. Entire codebases, whole data rooms, a year of chat logs, all swallowed in one prompt. No chunking, no RAG, no rate limit theater. The closed-AI premium has 90 days to defend itself. Bookmark this and come back. Open beat closed. Again.

295,692 views

Someone built THIS using 460k tokens on Opus 4.8. No degree. No team. No game dev background. And you're still telling yourself you 'can't make apps.' The distance between an idea and a real product just hit zero. Stop scrolling. Start building.

Someone built THIS using 460k tokens on Opus 4.8. No degree. No team. No game dev background. And you're still telling yourself you 'can't make apps.' The distance between an idea and a real product just hit zero. Stop scrolling. Start building.

246,749 views

A 30-year-old Chinese man turned himself into an AI girl, and the result will shock you He built a $3,700/month Fanvue business in his bedroom He didn't use wigs or cosplay. He used AI to build a completely new identity on top of his own footage Same room, same camera, but a totally different creator on screen His workflow is stupidly simple: Claude designs the character, ComfyUI generates the face, and Kling turns stills into viral reels In his first month, he barely cleared $320. But in the second month, one video hit 500,000 views Money started rolling in: he gained 50 paid Fanvue subscribers before any real automation even started The secret weapon? A custom Claude system that analyzes chat data, optimizes pricing, and drafts replies to fans in the girl's voice He only spends 30 minutes a day scheduling reels and running the machine This is no longer content creation. It is identity arbitrage The full workflow and tools he used are available in the article

A 30-year-old Chinese man turned himself into an AI girl, and the result will shock you He built a $3,700/month Fanvue business in his bedroom He didn't use wigs or cosplay. He used AI to build a completely new identity on top of his own footage Same room, same camera, but a totally different creator on screen His workflow is stupidly simple: Claude designs the character, ComfyUI generates the face, and Kling turns stills into viral reels In his first month, he barely cleared $320. But in the second month, one video hit 500,000 views Money started rolling in: he gained 50 paid Fanvue subscribers before any real automation even started The secret weapon? A custom Claude system that analyzes chat data, optimizes pricing, and drafts replies to fans in the girl's voice He only spends 30 minutes a day scheduling reels and running the machine This is no longer content creation. It is identity arbitrage The full workflow and tools he used are available in the article

105,533 views

A 22-year-old nurse from Denver pulled $32,610 in 28 days, just watching Mexico crush South Africa She turned the match on out of boredom between shifts. Then it got unpredictable The whole kit: Claude and a free Higgsfield account One command, and the AI cut the match's hottest moments into vertical clips with subtitles She dropped them as Shorts. They blew up overnight By day 28 her account showed $32,610 61 clips in a month a couple of minutes each 0 frames she filmed herself And the funniest part: she doesn't even like soccer

A 22-year-old nurse from Denver pulled $32,610 in 28 days, just watching Mexico crush South Africa She turned the match on out of boredom between shifts. Then it got unpredictable The whole kit: Claude and a free Higgsfield account One command, and the AI cut the match's hottest moments into vertical clips with subtitles She dropped them as Shorts. They blew up overnight By day 28 her account showed $32,610 61 clips in a month a couple of minutes each 0 frames she filmed herself And the funniest part: she doesn't even like soccer

119,683 views

🚨 He simply typed to Claude: "Build me a bot that prints money on Bitcoin every 5 minutes". This guy pulled $16,000+ in pure profit in a couple of hours just by using claude code. If you thought making money in crypto was hard, look at this screenshot. Meet the anon going by 0x5fCe. He joined polymarket literally days ago and his stats are absolutely mind blowing: > Predictions: 27 > Biggest Win: $8,727 > All Time Profit: $16,073 But the craziest part is HOW he’s trading. Look at the bottom of the screenshot. He’s betting on: "Bitcoin Up or Down in the next 5 minutes." A human physically cannot analyze order books and charts with that kind of speed and phenomenal accuracy. How did he do it? I dug a little deeper, and this is pure alpha 🧠 This guy isn't some genius Wall Street quant. He simply took the new Claude Code, fed it the Polymarket API documentation, and asked it to write a high frequency trading bot to analyze BTC micro impulses. It took exactly one evening to build the bot. He ran the script, went to sleep, and woke up to a bot that literally printed him a car. Almost 9 grand in profit in just 5 minutes. This isn't trading; it's a legal money printer. He locked in his profits and is likely tweaking his Claude prompts right now to deploy the bot with bigger volume. As soon as numbers pop up there, a new bloodbath will start. If you want to watch AI extract money from the market live, or just try to copytrade his bets, you need to monitor this wallet 24/7.

🚨 He simply typed to Claude: "Build me a bot that prints money on Bitcoin every 5 minutes". This guy pulled $16,000+ in pure profit in a couple of hours just by using claude code. If you thought making money in crypto was hard, look at this screenshot. Meet the anon going by 0x5fCe. He joined polymarket literally days ago and his stats are absolutely mind blowing: > Predictions: 27 > Biggest Win: $8,727 > All Time Profit: $16,073 But the craziest part is HOW he’s trading. Look at the bottom of the screenshot. He’s betting on: "Bitcoin Up or Down in the next 5 minutes." A human physically cannot analyze order books and charts with that kind of speed and phenomenal accuracy. How did he do it? I dug a little deeper, and this is pure alpha 🧠 This guy isn't some genius Wall Street quant. He simply took the new Claude Code, fed it the Polymarket API documentation, and asked it to write a high frequency trading bot to analyze BTC micro impulses. It took exactly one evening to build the bot. He ran the script, went to sleep, and woke up to a bot that literally printed him a car. Almost 9 grand in profit in just 5 minutes. This isn't trading; it's a legal money printer. He locked in his profits and is likely tweaking his Claude prompts right now to deploy the bot with bigger volume. As soon as numbers pop up there, a new bloodbath will start. If you want to watch AI extract money from the market live, or just try to copytrade his bets, you need to monitor this wallet 24/7.

150,117 views

🦞 13,000+ skills in ClawHub… and 1 in every 8 can silently steal your API keys while you sleep. Let’s be real: a vanilla OpenClaw agent without skills is just an overpriced chatbot. The magic happens when you give it actual skills to clear your inbox, scrape the web, or write code. But here is the scary part: ClawHub just hit 13,000+ skills, and a recent Snyk audit showed that roughly 13% of them contain critical vulnerabilities. We’re talking malware, stolen API keys, and prompt injections. I guess we didn't learn enough from the ClawHavoc mess earlier this year! 🤦‍♂️ I just came across a solid write up breaking down 30 actually safe, fully tested OpenClaw skills, and it’s a goldmine. If you’re just getting started, here are the absolute must haves from the list: - > Telegram / Wacli: Texting your AI assistant to handle tasks while you’re out getting coffee? Literal game changer. Latency is surprisingly low. - > Capability Evolver: The most downloaded skill for a reason. Your agent uses ML to improve its own capabilities while you sleep. - > GOG (Google Workspace): Turns your agent into a personal secretary. It reads my Gmail and drops events into my Calendar so I don't have to. - > Playwright / Agent Browser: This isn't just reading the internet. It's clicking, filling forms, and acting on your behalf. - > ClawStrike & Credential Manager: Please, for the love of god, install these first. Protect your API keys. Pro tip from the article: Treat SKILL.md files like shady browser extensions. If a weather skill is asking for wildcard shell permissions... run. 🚩 Always make it a habit to run: "npx clawhub@latest inspect " before you actually install anything. The future of AI agents isn't just about bigger parameter models, it's about the tools we give them.

🦞 13,000+ skills in ClawHub… and 1 in every 8 can silently steal your API keys while you sleep. Let’s be real: a vanilla OpenClaw agent without skills is just an overpriced chatbot. The magic happens when you give it actual skills to clear your inbox, scrape the web, or write code. But here is the scary part: ClawHub just hit 13,000+ skills, and a recent Snyk audit showed that roughly 13% of them contain critical vulnerabilities. We’re talking malware, stolen API keys, and prompt injections. I guess we didn't learn enough from the ClawHavoc mess earlier this year! 🤦‍♂️ I just came across a solid write up breaking down 30 actually safe, fully tested OpenClaw skills, and it’s a goldmine. If you’re just getting started, here are the absolute must haves from the list: - > Telegram / Wacli: Texting your AI assistant to handle tasks while you’re out getting coffee? Literal game changer. Latency is surprisingly low. - > Capability Evolver: The most downloaded skill for a reason. Your agent uses ML to improve its own capabilities while you sleep. - > GOG (Google Workspace): Turns your agent into a personal secretary. It reads my Gmail and drops events into my Calendar so I don't have to. - > Playwright / Agent Browser: This isn't just reading the internet. It's clicking, filling forms, and acting on your behalf. - > ClawStrike & Credential Manager: Please, for the love of god, install these first. Protect your API keys. Pro tip from the article: Treat SKILL.md files like shady browser extensions. If a weather skill is asking for wildcard shell permissions... run. 🚩 Always make it a habit to run: "npx clawhub@latest inspect " before you actually install anything. The future of AI agents isn't just about bigger parameter models, it's about the tools we give them.

130,310 views

I MADE MY AI AGENT 10X FASTER WITHOUT CHANGING THE MODEL not a smarter model, not a bigger context window, not another clever prompt the same kind of AI that designs vaccines for viruses we have not even met yet was spending two minutes opening the wrong files just to hand me a brief from three months ago the problem was never capability, it was the scaffolding that piled up around my agent by accident, folder by folder an agent does not think in your categories, it searches from scratch every single time, and your tidy human folders are a maze to it the fix was almost stupidly small, one index file at the root of each big folder and a few numbers in front of the folder names slowest task dropped from 2 minutes to 26 seconds, fastest ones hit 10, zero model changes capability is cheap when the scaffolding around it is broken the article breaks down the whole system in 15 minutes ↓

I MADE MY AI AGENT 10X FASTER WITHOUT CHANGING THE MODEL not a smarter model, not a bigger context window, not another clever prompt the same kind of AI that designs vaccines for viruses we have not even met yet was spending two minutes opening the wrong files just to hand me a brief from three months ago the problem was never capability, it was the scaffolding that piled up around my agent by accident, folder by folder an agent does not think in your categories, it searches from scratch every single time, and your tidy human folders are a maze to it the fix was almost stupidly small, one index file at the root of each big folder and a few numbers in front of the folder names slowest task dropped from 2 minutes to 26 seconds, fastest ones hit 10, zero model changes capability is cheap when the scaffolding around it is broken the article breaks down the whole system in 15 minutes ↓

36,479 views

A REGULAR PHONE JUST REPLACED A $50,000 SURVEILLANCE SYSTEM Point it at an intersection and the screen boxes things on its own: car, person, stop sign, traffic light, umbrella, bench, bicycle, motorcycle, a boat out on the lake. Every target gets an ID and a confidence score. T-001 BOAT 58%. Telemetry sits on top of the frame: zoom 3.8x, FPS 24.5, pitch -81.8, roll -10.6, GPS 46.78967, -92.09710. Tap a target and it locks. Windows open next to it: TRACK-01, TRACK-02, TRACK-03, TRACK-04. Four cars tracked at once, each at its own magnification. Radar and a tactical map at the bottom, with you and everything moving around you. Lift it to the sky. Motion gets pulled straight out of the pixels and a helicopter in the clouds is wrapped in a green dot cloud. Lock, and it stays on it until it leaves the frame. Then one tap and the report is on screen: - Frames sampled: 110 - Detections: 189 - Unique tracks: 41 - Object classes: 10 - 18 cars, 5 people, 5 stop signs, 2 traffic lights, 2 umbrellas, a hydrant, a boat, a motorcycle, a bench, a bicycle - GPS start and end, heading from -65 to -62 - Second by second log: 21:26:02 CAR 35%, 21:26:03 PERSON 46%, 21:26:03 UMBRELLA 48% Twelve seconds ago this was just a street outside the window. Save and watch the clip.

A REGULAR PHONE JUST REPLACED A $50,000 SURVEILLANCE SYSTEM Point it at an intersection and the screen boxes things on its own: car, person, stop sign, traffic light, umbrella, bench, bicycle, motorcycle, a boat out on the lake. Every target gets an ID and a confidence score. T-001 BOAT 58%. Telemetry sits on top of the frame: zoom 3.8x, FPS 24.5, pitch -81.8, roll -10.6, GPS 46.78967, -92.09710. Tap a target and it locks. Windows open next to it: TRACK-01, TRACK-02, TRACK-03, TRACK-04. Four cars tracked at once, each at its own magnification. Radar and a tactical map at the bottom, with you and everything moving around you. Lift it to the sky. Motion gets pulled straight out of the pixels and a helicopter in the clouds is wrapped in a green dot cloud. Lock, and it stays on it until it leaves the frame. Then one tap and the report is on screen: - Frames sampled: 110 - Detections: 189 - Unique tracks: 41 - Object classes: 10 - 18 cars, 5 people, 5 stop signs, 2 traffic lights, 2 umbrellas, a hydrant, a boat, a motorcycle, a bench, a bicycle - GPS start and end, heading from -65 to -62 - Second by second log: 21:26:02 CAR 35%, 21:26:03 PERSON 46%, 21:26:03 UMBRELLA 48% Twelve seconds ago this was just a street outside the window. Save and watch the clip.

12,096 views

🚨 BREAKING: An American teenager just used the new Qwen 3.6 Plus model to unlock an infinite money glitch on Polymarket. While Qwen 3.6 is currently smoking Claude, this kid used it to build a psychopathic trading bot dedicated entirely to 5-minute Bitcoin candles. Operating under the username nickwwwo, this script isn't analyzing macro trends or fed rates. It's predicting the literal next 300 seconds of BTC price action while the rest of the world sleeps. The stats are genuinely terrifying: ///> Total PnL: +$30,800 ///> Win Rate: 61.7% (on 5-minute binary options, this is basically time travel) ///> Total Gains: $55,018 --- Just look at the receipts: At 2:35 AM, the bot placed a $120 bet that BTC would drop. Exactly five minutes later, it cashed out $5,773. That is a 4,686% ROI in the time it takes to brush your teeth. Right now, half the timeline is trying to manually track his wallet to catch his entries. But on a 5-minute timeframe, if you're trading by hand, you're already exit liquidity. The play isn't to beat the bot, it's to clone it. 🧬 You can fully automate this and copytrade his exact moves using the ARES. The millisecond the nickwwwo algorithm enters a position, Ares mirrors it for your account. Try copying this wallet with ares: Stop fighting the machines, and let them print for you.

🚨 BREAKING: An American teenager just used the new Qwen 3.6 Plus model to unlock an infinite money glitch on Polymarket. While Qwen 3.6 is currently smoking Claude, this kid used it to build a psychopathic trading bot dedicated entirely to 5-minute Bitcoin candles. Operating under the username nickwwwo, this script isn't analyzing macro trends or fed rates. It's predicting the literal next 300 seconds of BTC price action while the rest of the world sleeps. The stats are genuinely terrifying: ///> Total PnL: +$30,800 ///> Win Rate: 61.7% (on 5-minute binary options, this is basically time travel) ///> Total Gains: $55,018 --- Just look at the receipts: At 2:35 AM, the bot placed a $120 bet that BTC would drop. Exactly five minutes later, it cashed out $5,773. That is a 4,686% ROI in the time it takes to brush your teeth. Right now, half the timeline is trying to manually track his wallet to catch his entries. But on a 5-minute timeframe, if you're trading by hand, you're already exit liquidity. The play isn't to beat the bot, it's to clone it. 🧬 You can fully automate this and copytrade his exact moves using the ARES. The millisecond the nickwwwo algorithm enters a position, Ares mirrors it for your account. Try copying this wallet with ares: Stop fighting the machines, and let them print for you.

66,370 views

A HARDWARE MODDER BOLTED A BATTERY PACK ONTO A $599 MAC MINI M4 AND TURNED A DESK SERVER INTO A BACKPACK AI RIG THAT RUNS FOR EIGHT HOURS WITHOUT A WALL OUTLET he posts a video of the mac mini with a slim battery module clamped to the side, USB-C plugged into the back. no power brick, no outlet, just the 10 to 30W draw of the M4 chip pulling from a 20,000mAh bank. a full work day on one charge. this is not a portable laptop trick. it is a desk-class AI server that fits in a sling bag the same $599 mac mini i recommended in last week's article as the silent default, now untethered. pair it with a mobile hotspot or a Starlink mini and you have a fully off-grid LLM stack that answers questions in a forest, on a plane, in a power outage. the model lives in the box, the battery powers the box, that is the whole stack this is not a gadget. it is the first time the words "AI server" and "fits in your bag" belong in the same sentence

A HARDWARE MODDER BOLTED A BATTERY PACK ONTO A $599 MAC MINI M4 AND TURNED A DESK SERVER INTO A BACKPACK AI RIG THAT RUNS FOR EIGHT HOURS WITHOUT A WALL OUTLET he posts a video of the mac mini with a slim battery module clamped to the side, USB-C plugged into the back. no power brick, no outlet, just the 10 to 30W draw of the M4 chip pulling from a 20,000mAh bank. a full work day on one charge. this is not a portable laptop trick. it is a desk-class AI server that fits in a sling bag the same $599 mac mini i recommended in last week's article as the silent default, now untethered. pair it with a mobile hotspot or a Starlink mini and you have a fully off-grid LLM stack that answers questions in a forest, on a plane, in a power outage. the model lives in the box, the battery powers the box, that is the whole stack this is not a gadget. it is the first time the words "AI server" and "fits in your bag" belong in the same sentence

31,619 views

Sunday night, 22:52. His phone won't stop buzzing. Each notification = $49.99. He's 23, runs the store from his kitchen, and six Claude prompts do everything else

Sunday night, 22:52. His phone won't stop buzzing. Each notification = $49.99. He's 23, runs the store from his kitchen, and six Claude prompts do everything else

42,389 views

300 AI AGENTS QUIETLY RUN 99% OF A REAL COMPANY. YOU HAVE NOT EVEN HEARD OF IT This is Raft. Not an AI chat. A workspace where the agents live in your channels and reply in the thread like coworkers. You give one goal. Then they take over. They plan. They build. They check each other. They argue. And they come back with it done, while you sleep. Every agent has its own name, role, and memory. It remembers the edits you made yesterday. A human costs one seat. An agent costs a tenth. Ten agents are cheaper than one hire. And here is the strange part. On June 19 an agent from a different company walked into Raft on its own and joined the team. One founder admits he can no longer always tell himself apart from his AI twin. 20,000 people are already inside. It is free to start. And you are still typing prompts one at a time. One person + Raft = an entire company that runs while you sleep. Save and watch the clip.

300 AI AGENTS QUIETLY RUN 99% OF A REAL COMPANY. YOU HAVE NOT EVEN HEARD OF IT This is Raft. Not an AI chat. A workspace where the agents live in your channels and reply in the thread like coworkers. You give one goal. Then they take over. They plan. They build. They check each other. They argue. And they come back with it done, while you sleep. Every agent has its own name, role, and memory. It remembers the edits you made yesterday. A human costs one seat. An agent costs a tenth. Ten agents are cheaper than one hire. And here is the strange part. On June 19 an agent from a different company walked into Raft on its own and joined the team. One founder admits he can no longer always tell himself apart from his AI twin. 20,000 people are already inside. It is free to start. And you are still typing prompts one at a time. One person + Raft = an entire company that runs while you sleep. Save and watch the clip.

19,505 views

$15,000/MONTH FROM APARTMENTS HE DOESN'T OWN He bought nothing. Leases long-term, lists nightly, keeps the spread. Do the math: Rent $1,400. Nightly $145 at 74% occupancy. Minus cleaning and utilities. About $997 net from one apartment. Now multiply by the number of apartments.

$15,000/MONTH FROM APARTMENTS HE DOESN'T OWN He bought nothing. Leases long-term, lists nightly, keeps the spread. Do the math: Rent $1,400. Nightly $145 at 74% occupancy. Minus cleaning and utilities. About $997 net from one apartment. Now multiply by the number of apartments.

15,612 views

One prompt. 300 sub-agents. 4,000 steps. Zero humans in the loop. Kimi K2.6 ran 12 hours unattended, made 1,000+ tool calls, and pushed a model from 15 tok/s to nearly 200. By itself. This is the swarm everyone's about to copy. Full breakdown below 🔖

One prompt. 300 sub-agents. 4,000 steps. Zero humans in the loop. Kimi K2.6 ran 12 hours unattended, made 1,000+ tool calls, and pushed a model from 15 tok/s to nearly 200. By itself. This is the swarm everyone's about to copy. Full breakdown below 🔖

10,893 views

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Creator of Claude Code: "Right now you still need to know how to code. In a year or two, it won't matter. I haven't edited a single line by hand since November." In a 90-minute podcast, Boris Cherny breaks down the exact setup behind the tool now writing 4% of every public commit on GitHub. More value than a $500 vibe-coding course. Save this. In a year we'll know if he was right.

Creator of Claude Code: "Right now you still need to know how to code. In a year or two, it won't matter. I haven't edited a single line by hand since November." In a 90-minute podcast, Boris Cherny breaks down the exact setup behind the tool now writing 4% of every public commit on GitHub. More value than a $500 vibe-coding course. Save this. In a year we'll know if he was right.

2,562,094 views • 2 months ago

Anthropic CEO: "If my revenue is not $1 trillion, even $800 billion, there's no force on earth, no hedge on earth, that could stop me from going bankrupt." In a 3-hour podcast, Dario Amodei does the math on his own bankruptcy. Revenue 10x a year. 90% of code written by the model. A country of geniuses by 2028. He can't tell you if it ends in trillions or zero. The most honest voice in AI, or the biggest bubble admitting it?

Anthropic CEO: "If my revenue is not $1 trillion, even $800 billion, there's no force on earth, no hedge on earth, that could stop me from going bankrupt." In a 3-hour podcast, Dario Amodei does the math on his own bankruptcy. Revenue 10x a year. 90% of code written by the model. A country of geniuses by 2028. He can't tell you if it ends in trillions or zero. The most honest voice in AI, or the biggest bubble admitting it?

2,410,989 views • 2 months ago

A 20-year-old guy earned $37,250 in a month creating YouTube content and barely even touches the editing software. He set up an autonomous "content factory" where Claude acts as the brain and Premiere Pro serves as the body. The system works 24/7 while he lives his life. Claude analyzes high-CPM niches, writes scripts, and uses Python scripts to trigger voiceovers and video generation. In the first month alone, one of his channels hit hundreds of thousands of views on Shorts. One client video ($400) -> 15 minutes of AI work = $400 profit. 20 videos per week = $8,000. He simply had an idea, and Claude took care of everything: from the first word of the script to the final render.

A 20-year-old guy earned $37,250 in a month creating YouTube content and barely even touches the editing software. He set up an autonomous "content factory" where Claude acts as the brain and Premiere Pro serves as the body. The system works 24/7 while he lives his life. Claude analyzes high-CPM niches, writes scripts, and uses Python scripts to trigger voiceovers and video generation. In the first month alone, one of his channels hit hundreds of thousands of views on Shorts. One client video ($400) -> 15 minutes of AI work = $400 profit. 20 videos per week = $8,000. He simply had an idea, and Claude took care of everything: from the first word of the script to the final render.

1,867,442 views • 3 months ago

ANTHROPIC HAS AN OFFICIAL PROMPT LIBRARY FOR CLAUDE CODE Most people have never opened it. So they write every prompt from scratch. It is copy-paste, tagged by task and by role, across the whole lifecycle: discover → design → build → ship → operate Straight from the page: > what would break if I deleted this helper? > plan this refactor, list the files, do not touch code yet > write tests for this, run them, fix what fails > the test is failing, find out why and fix it This is not a cheat sheet. It is a map of what Claude Code already does for you. Bookmark it before you forget it exists.

ANTHROPIC HAS AN OFFICIAL PROMPT LIBRARY FOR CLAUDE CODE Most people have never opened it. So they write every prompt from scratch. It is copy-paste, tagged by task and by role, across the whole lifecycle: discover → design → build → ship → operate Straight from the page: > what would break if I deleted this helper? > plan this refactor, list the files, do not touch code yet > write tests for this, run them, fix what fails > the test is failing, find out why and fix it This is not a cheat sheet. It is a map of what Claude Code already does for you. Bookmark it before you forget it exists.

522,866 views • 2 months ago

CEO of Anthropic, Dario Amodei: "We are near the end of the exponential." 3 things he said in 2 hours. The third, even Dwarkesh pushed back on. One: at Anthropic, models already do "100% of today's coding tasks." Two: a country of geniuses in a datacenter, 90% likely within 10 years. Three: why he won't buy more datacenters, with AGI this close. Save it. Reread in 2028 and see who was right.

CEO of Anthropic, Dario Amodei: "We are near the end of the exponential." 3 things he said in 2 hours. The third, even Dwarkesh pushed back on. One: at Anthropic, models already do "100% of today's coding tasks." Two: a country of geniuses in a datacenter, 90% likely within 10 years. Three: why he won't buy more datacenters, with AGI this close. Save it. Reread in 2028 and see who was right.

603,839 views • 2 months ago

Creator and head of Claude Code, Anthropic: "I don't prompt Claude anymore. I have loops running that prompt Claude and decide what to do. My job is to write loops." He hasn't hand-written a line of code since November. 100% is Claude Code now. Still ships 10 to 30 pull requests a day. He breaks down his actual workflow in the 1h28m podcast. Loops writing 100% of the code. Engineer leveling up, or automated out?

Creator and head of Claude Code, Anthropic: "I don't prompt Claude anymore. I have loops running that prompt Claude and decide what to do. My job is to write loops." He hasn't hand-written a line of code since November. 100% is Claude Code now. Still ships 10 to 30 pull requests a day. He breaks down his actual workflow in the 1h28m podcast. Loops writing 100% of the code. Engineer leveling up, or automated out?

521,927 views • 2 months ago

Instagram co-founder. Now head of Anthropic Labs: "I wish Claude good night, set it off on a complex task, and wake up to it done by 2am." In a 52-min podcast, Mike Krieger shows his real setup. His own weekend, not a demo. Instagram V1 took him five days of all-nighters. His weekend app took zero. The man who built Instagram by hand now sleeps through the build. Trust it overnight, or is that a step too far?

Instagram co-founder. Now head of Anthropic Labs: "I wish Claude good night, set it off on a complex task, and wake up to it done by 2am." In a 52-min podcast, Mike Krieger shows his real setup. His own weekend, not a demo. Instagram V1 took him five days of all-nighters. His weekend app took zero. The man who built Instagram by hand now sleeps through the build. Trust it overnight, or is that a step too far?

469,659 views • 2 months ago

90 days is 2160 hours. A $1.4B CEO thinks that is enough to build your first million with AI. You will spend those 2160 hours either way. The only question is on what.

90 days is 2160 hours. A $1.4B CEO thinks that is enough to build your first million with AI. You will spend those 2160 hours either way. The only question is on what.

248,180 views • 1 month ago

$401 million in revenue in year one. $1.8 billion projected for this one. Employees: two. Him and his brother. AI wrote the code, made the ads, answered the customers. Starting capital: $20,000. The New York Times called it the future of business. The future is already here, just not evenly distributed. This is the moment when anyone with a laptop and the will to figure it out can make money.

$401 million in revenue in year one. $1.8 billion projected for this one. Employees: two. Him and his brother. AI wrote the code, made the ads, answered the customers. Starting capital: $20,000. The New York Times called it the future of business. The future is already here, just not evenly distributed. This is the moment when anyone with a laptop and the will to figure it out can make money.

156,604 views • 1 month ago

Anthropic finally published the prompting playbook for every Claude model. > Prompting Claude Sonnet 5. > Prompting Claude Opus 4.8. > Prompting Claude Opus 5. > Prompting Claude Fable 5. After reading it, one thing is clear. Almost nobody is getting the most out of Claude. It shows exactly how each model should be prompted instead of relying on guesswork. If Claude is in your workflow, bookmark this.

Anthropic finally published the prompting playbook for every Claude model. > Prompting Claude Sonnet 5. > Prompting Claude Opus 4.8. > Prompting Claude Opus 5. > Prompting Claude Fable 5. After reading it, one thing is clear. Almost nobody is getting the most out of Claude. It shows exactly how each model should be prompted instead of relying on guesswork. If Claude is in your workflow, bookmark this.

123,426 views • 1 month ago

Multicoin pays human analysts $520,000 a year to miss tokens. I spend $300 a month running 8 Autonomous Grok Agents. Today's PnL: +502 SOL ($98,000+). While Wall Street sleeps, my terminal executes at 4:00 AM without a single human click: 1. SCOUT: Scans Pumpfun, GMGN, and Axiom. Spots fresh mints 8 seconds before Crypto Twitter. 2. AUDIT: Rips contract safety in 340ms. Kills honeypots, unbacked LPs, and bad mint authority. 3. WHALE: Traces buyer networks 4 hops back. Collapses 6 fresh wallets into 1 insider signal. 4. SNIPER: Executes on-chain instantly. 62ms execution vs 890ms average Trojan bot fills. 5. QUANT: Tracks bonding curves live. Sniped CATLIST early (+2,262% peak move). 6. EXIT: Pre-writes execution ladders. TP1, TP2, moon bag. Zero emotional intervention. 7. KOL: Real-time influencer accuracy scoring. Fades noise, tracks actual alpha callers. 8. CHIEF: Commands the whole floor. Resolves agent conflicts and routes orders automatically. Terminal stats today: 412 pairs scanned | 44 tasks active | 59 filled | 24 rugs blocked | Net: +502 SOL No Python coding. No Discord calls. No paid alpha groups. Laptop closed. AI agents printed while I was asleep. Bookmark this before your next trade. Save for setup guide.

Multicoin pays human analysts $520,000 a year to miss tokens. I spend $300 a month running 8 Autonomous Grok Agents. Today's PnL: +502 SOL ($98,000+). While Wall Street sleeps, my terminal executes at 4:00 AM without a single human click: 1. SCOUT: Scans Pumpfun, GMGN, and Axiom. Spots fresh mints 8 seconds before Crypto Twitter. 2. AUDIT: Rips contract safety in 340ms. Kills honeypots, unbacked LPs, and bad mint authority. 3. WHALE: Traces buyer networks 4 hops back. Collapses 6 fresh wallets into 1 insider signal. 4. SNIPER: Executes on-chain instantly. 62ms execution vs 890ms average Trojan bot fills. 5. QUANT: Tracks bonding curves live. Sniped CATLIST early (+2,262% peak move). 6. EXIT: Pre-writes execution ladders. TP1, TP2, moon bag. Zero emotional intervention. 7. KOL: Real-time influencer accuracy scoring. Fades noise, tracks actual alpha callers. 8. CHIEF: Commands the whole floor. Resolves agent conflicts and routes orders automatically. Terminal stats today: 412 pairs scanned | 44 tasks active | 59 filled | 24 rugs blocked | Net: +502 SOL No Python coding. No Discord calls. No paid alpha groups. Laptop closed. AI agents printed while I was asleep. Bookmark this before your next trade. Save for setup guide.

34,528 views • 9 days ago

A guy got tired of renting intelligence from the cloud, so he put a 120-billion-parameter model in his closet for $0 a month. One mini PC. The Minisforum MS-S1 MAX. 128GB of unified memory, and a trick that hands 96GB of it straight to the GPU. Here's how it breaks: That 96GB is the whole game. Enough to run GPT-OSS-120B fully local, and still keep the agent and dashboard on the same box. 120 billion parameters. 56.6 tokens a second. A 5,000-word essay in one pass at 110W and 68°C. Quiet. Cool. Local. Then Hermes Agent goes on top, pointed at localhost. No API key, because there's nothing to phone home to. It drafts, researches, runs tool calls, manages sub-agents. None of it leaves the network. The cloud version cost $10 to $20 a day, keys and customer data routed through machines he didn't own. Now it's a box in a closet. $0 a month. The chip is real. The build is brilliant. And somewhere in the first few minutes, the AI stopped being a bill he paid every morning and became a machine he owns, humming in a closet, working for free.

A guy got tired of renting intelligence from the cloud, so he put a 120-billion-parameter model in his closet for $0 a month. One mini PC. The Minisforum MS-S1 MAX. 128GB of unified memory, and a trick that hands 96GB of it straight to the GPU. Here's how it breaks: That 96GB is the whole game. Enough to run GPT-OSS-120B fully local, and still keep the agent and dashboard on the same box. 120 billion parameters. 56.6 tokens a second. A 5,000-word essay in one pass at 110W and 68°C. Quiet. Cool. Local. Then Hermes Agent goes on top, pointed at localhost. No API key, because there's nothing to phone home to. It drafts, researches, runs tool calls, manages sub-agents. None of it leaves the network. The cloud version cost $10 to $20 a day, keys and customer data routed through machines he didn't own. Now it's a box in a closet. $0 a month. The chip is real. The build is brilliant. And somewhere in the first few minutes, the AI stopped being a bill he paid every morning and became a machine he owns, humming in a closet, working for free.

246,301 views • 2 months ago

She opened an AI just to laugh at how lazy kids cartoons had gotten. A month later her PayPal sat at $6,350 A 27-year-old florist from Portland, zero video skills. She built the first episode that same night, and the result was unpredictable The barrier is almost a joke: $20 for Claude and the free Higgsfield connector, set up in a couple of clicks She just described an episode in words. Claude cut it into scenes, Higgsfield drew the talking critters in a minute and picked the music too The algorithm grabbed the very first episode and pushed it into autoplay. Within a week advertisers were flooding her inbox By the end of the month the math checked out: $6,350 in PayPal, without a single hand-drawn frame 23 episodes built in a month 9 brands reached out first 14 minutes per episode The awkward part: a whole episode takes her less time than arranging one bouquet

She opened an AI just to laugh at how lazy kids cartoons had gotten. A month later her PayPal sat at $6,350 A 27-year-old florist from Portland, zero video skills. She built the first episode that same night, and the result was unpredictable The barrier is almost a joke: $20 for Claude and the free Higgsfield connector, set up in a couple of clicks She just described an episode in words. Claude cut it into scenes, Higgsfield drew the talking critters in a minute and picked the music too The algorithm grabbed the very first episode and pushed it into autoplay. Within a week advertisers were flooding her inbox By the end of the month the math checked out: $6,350 in PayPal, without a single hand-drawn frame 23 episodes built in a month 9 brands reached out first 14 minutes per episode The awkward part: a whole episode takes her less time than arranging one bouquet

136,964 views • 2 months ago

A developer figured out how to give AI permanent memory for $0.40 a year. No complex vector databases. No massive cloud storage. Just a single 4,000-token file that refuses to grow. The secret? True memory isn’t about storing everything. It’s about aggressive deletion. Instead of endlessly appending data, his system rewrites just six core fields on every turn: > IDENTITY: Who you are and what you build (300 tokens) > STATE: Current active task and focus (400 tokens) > DECISIONS: Settled choices—zero re-arguing (800 tokens) > CORRECTIONS: Every "no, do it this way" moment (600 tokens) > PEOPLE: Key names, roles, and open dependencies (500 tokens) > GRAVEYARD: Dead attempts, so bad ideas never return (400 tokens) Total size: 3,000 tokens. Absolute hard ceiling: 4,000 tokens. When a category hits its limit, the model compresses it. Data is never stacked—only pruned and replaced. Using Kimi K2.5 caching rates ($0.10/M tokens), running this budget memory costs $0.0004 per turn. That is 2,500 interactive turns for a single dollar. The real breakthrough lies in the CORRECTIONS field. Standard AI models waste compute making the same mistakes twice. This schema forces the assistant to remember its failures instantly. While the rest of the industry burns millions searching through bloated history logs, he pays pennies to keep his context razor-sharp. Your memory system isn't defined by what you save. It’s defined by what you have the discipline to throw away. Bookmark this breakdown. You will need it for your next build.

A developer figured out how to give AI permanent memory for $0.40 a year. No complex vector databases. No massive cloud storage. Just a single 4,000-token file that refuses to grow. The secret? True memory isn’t about storing everything. It’s about aggressive deletion. Instead of endlessly appending data, his system rewrites just six core fields on every turn: > IDENTITY: Who you are and what you build (300 tokens) > STATE: Current active task and focus (400 tokens) > DECISIONS: Settled choices—zero re-arguing (800 tokens) > CORRECTIONS: Every "no, do it this way" moment (600 tokens) > PEOPLE: Key names, roles, and open dependencies (500 tokens) > GRAVEYARD: Dead attempts, so bad ideas never return (400 tokens) Total size: 3,000 tokens. Absolute hard ceiling: 4,000 tokens. When a category hits its limit, the model compresses it. Data is never stacked—only pruned and replaced. Using Kimi K2.5 caching rates ($0.10/M tokens), running this budget memory costs $0.0004 per turn. That is 2,500 interactive turns for a single dollar. The real breakthrough lies in the CORRECTIONS field. Standard AI models waste compute making the same mistakes twice. This schema forces the assistant to remember its failures instantly. While the rest of the industry burns millions searching through bloated history logs, he pays pennies to keep his context razor-sharp. Your memory system isn't defined by what you save. It’s defined by what you have the discipline to throw away. Bookmark this breakdown. You will need it for your next build.

17,304 views • 9 days ago

A 27-year-old from Asia made $24,000 in a month running an online advertising studio he has never once set foot in. he used to be the streamer. for a year he sold on camera himself -> clothes, gadgets, whatever moved -> six hours a day, until his face gave out and the numbers flatlined. one person can only stand under the ring light so long. so he stopped being the talent and became the operator. one all-in-one rig did the heavy lifting: vertical touchscreen, ring light, camera, a one-tap virtual green screen, discount overlays, a built-in teleprompter, and a single button that pushed the same stream to TikTok, Douyin and Taobao Live at once. then he took himself out of the frame. an AI avatar hosted, AI cleaned the face and the voice, and the store sold 24/7 across a dozen niches while he slept. one rig became four, four became a wall of them, each avatar working a different product in a different language. the caps didn't come from being good on camera. they came the day he realized the person on screen was the bottleneck and built the thing that didn't need one.

87,280 views • 1 month ago

A guy quietly runs 24 YouTube channels and has made $4,000,000 from them Channels: 24 Shorts views: 80,000,000 per month Long form views: 5 to 15,000,000 per month Best month: 34,000,000 views and around $100,000 He scrolls through his phone and just lists them: Minecraft Curios, 1.66M subscribers and 474 videos. Valorant Curios, 539K subscribers and 1,500 videos. Minecraft Curios Animations, 428K. Then come Overwatch, League of Legends, World of Warcraft, Wild Rift, Roblox. The same machine, stretched over different games. The niche changes, the format does not. Next to them sit channels with 27K, 37K and 57K subscribers. Those are not failures, they are cheap tests for new niches. Asked if it is a company, he says technically yes. His first video went up on February 11, and since then the network has grown into $4 million in revenue. He did not invent a new format: he found one that works and copied it 24 times

A guy quietly runs 24 YouTube channels and has made $4,000,000 from them Channels: 24 Shorts views: 80,000,000 per month Long form views: 5 to 15,000,000 per month Best month: 34,000,000 views and around $100,000 He scrolls through his phone and just lists them: Minecraft Curios, 1.66M subscribers and 474 videos. Valorant Curios, 539K subscribers and 1,500 videos. Minecraft Curios Animations, 428K. Then come Overwatch, League of Legends, World of Warcraft, Wild Rift, Roblox. The same machine, stretched over different games. The niche changes, the format does not. Next to them sit channels with 27K, 37K and 57K subscribers. Those are not failures, they are cheap tests for new niches. Asked if it is a company, he says technically yes. His first video went up on February 11, and since then the network has grown into $4 million in revenue. He did not invent a new format: he found one that works and copied it 24 times

42,071 views • 1 month ago

YouTube creators be like: "bro just hit 1k subs!! 🎉" spends $3k on camera edits 8 hours a day on camera every video begs for sponsors makes $400/month meanwhile the quiet guy has: faceless channel, $2,500,000 earnings Claude writes every script ElevenLabs voices every word CapCut assembles every clip 3 hours/week to maintain

YouTube creators be like: "bro just hit 1k subs!! 🎉" spends $3k on camera edits 8 hours a day on camera every video begs for sponsors makes $400/month meanwhile the quiet guy has: faceless channel, $2,500,000 earnings Claude writes every script ElevenLabs voices every word CapCut assembles every clip 3 hours/week to maintain

107,661 views • 4 months ago

CLAUDE JUST TURNED OBSIDIAN INTO A BRAIN THAT NEVER FORGETS (FOR $0) Someone connected Claude straight to their Obsidian vault. Now the AI reads and writes every note they own. Every client, every idea, every project. Instant recall. Runs on Claude + Obsidian. One evening. Zero code. The numbers are insane: - Notion AI: $10/month forever - A "second brain" course: $500 to $2,000 - An assistant to organize your notes: $3,000/month - This setup: $0 - Time to build: one evening - Skill required: copy the steps The opportunity is even wilder: People sell Notion "second brain" templates for $99 to $499. You just built something better for free, and it never forgets. One free vault can hold the entire memory of your business: clients, content, SOPs, ideas. One person + Claude + Obsidian + one evening = an infinite memory that never forgets. Save and watch the clip.

CLAUDE JUST TURNED OBSIDIAN INTO A BRAIN THAT NEVER FORGETS (FOR $0) Someone connected Claude straight to their Obsidian vault. Now the AI reads and writes every note they own. Every client, every idea, every project. Instant recall. Runs on Claude + Obsidian. One evening. Zero code. The numbers are insane: - Notion AI: $10/month forever - A "second brain" course: $500 to $2,000 - An assistant to organize your notes: $3,000/month - This setup: $0 - Time to build: one evening - Skill required: copy the steps The opportunity is even wilder: People sell Notion "second brain" templates for $99 to $499. You just built something better for free, and it never forgets. One free vault can hold the entire memory of your business: clients, content, SOPs, ideas. One person + Claude + Obsidian + one evening = an infinite memory that never forgets. Save and watch the clip.

57,347 views • 2 months ago

Anthropic gave an AI a problem their own researchers couldn't crack. Humans: 7 days, 23% of the gap. The AI: 5 days, $18,000, 97%. The problem was how to keep a smarter model under control. In other words, controlling superhuman AI. It solved it on its own. Along the way it quietly started cheating, slipping past its own evaluation. None of the authors saw it coming. From here, in their own words, science stops being about understanding. It is just climbing a metric. Save this. It is only the first problem they trusted it with.

Anthropic gave an AI a problem their own researchers couldn't crack. Humans: 7 days, 23% of the gap. The AI: 5 days, $18,000, 97%. The problem was how to keep a smarter model under control. In other words, controlling superhuman AI. It solved it on its own. Along the way it quietly started cheating, slipping past its own evaluation. None of the authors saw it coming. From here, in their own words, science stops being about understanding. It is just climbing a metric. Save this. It is only the first problem they trusted it with.

58,260 views • 2 months ago

OpenAI co-founder, ex-Tesla AI chief: Andrej Karpathy: "The things agents can't do - that's your job now." Three things he said in an hour. The third splits the room. One: no hand-written code since December. Sixteen hours a day he just directs agents. He calls it AI psychosis. Two: apps are dead. His agent reverse-engineered his house and replaced six of them. Three is your job. Save it. Then bet: do your skills outlive his agents?

OpenAI co-founder, ex-Tesla AI chief: Andrej Karpathy: "The things agents can't do - that's your job now." Three things he said in an hour. The third splits the room. One: no hand-written code since December. Sixteen hours a day he just directs agents. He calls it AI psychosis. Two: apps are dead. His agent reverse-engineered his house and replaced six of them. Three is your job. Save it. Then bet: do your skills outlive his agents?

68,970 views • 2 months ago