RGK
@rgk_degen • 6,557 subscribers
chill, this is ai world
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Northwestern engineers built a drone that spins its own body 25 times a second to disappear mid-flight. It's called Phantom Twist. No paint. No clear plastic shell. No camouflage. Most of the frame rotates. 25 turns per second. 1,500 per minute. A full turn every 40 milliseconds. The propeller spins the other way. That's the trick. The counter-rotation cancels the spin, and the aircraft holds steady while its body turns into a smear. The eye tracks a bird. It tracks a normal quadcopter. It can't lock onto a shape that redraws itself 25 times a second. You see motion. You see blur. You never see the outline. Every camouflage in history tried to match the background. This one just refuses to hold still.
RGK7,592,658 просмотров • 1 месяц назад
A 19-euro tool just replaced 8,000 Meta employees. Here’s the exact workflow a TikTok creator used to build AI influencer videos from scratch — no camera, no team, no budget. Step 1. Open Pinterest. Search “Girl Self.” Save the image you like. Open Nanobanana Pro. Step 2. Swap the face using a single prompt. (Link at the bottom.) Step 3. Take your generated photo into Crust. Currently the easiest video-from-image tool on the market. Step 4. Create 3 nodes: reference image, text, video generator. Step 5. Drop your photo into the image node. Write a video prompt into the text field. This is what makes the photo move. Step 6. Connect the nodes. Text to text-in. Image to image-in. Select Kling 2.6. Set duration. Toggle sound. Step 7. Hit generate. 2 prompts. 1 AI girl. 0 employees. Meta spent $14B on Reality Labs last year to build digital humans. This creator built one in 7 minutes for less than a dinner. The prompts are free in the reply.
RGK188,584 просмотров • 5 месяцев назад
I GAVE DOGE 8 LEGS AND NOW IT EATS RUGGERS meet SPIDOGE: half shiba, half spider, sitting in the middle of a web that catches every new mint I used to check tokens by hand. one tab for holders, one for the dev, one for bundles. by the time I finished, the dev had already sold turns out a spider checks with 8 legs at once: → THE WEB: every fresh mint lands on a thread the second it's deployed. the web shakes and the spider feels it → CRAWL: it runs to the coin in under 50ms → 8 LEGS = 8 CHECKS: mint auth, freeze auth, LP, block-0 bundles, top10 holders, socials, wash volume, dev wallet → ONE FAILS: the coin gets wrapped in silk and dropped in the cocoon jar → ALL 8 PASS: it bites. 0.8 SOL in → DRAIN: the profit runs back down the thread into the bag the one that sold me: $SNAILZ passed 7 of 8 then the last leg touched the dev wallet dev sold 41%, 0.4 seconds before entry cocooned this session: 214 mints/min hitting the web 5 rugs wrapped $1.9K not lost 61.4% win rate $9,840 → $13,573 mint auth still live? wrapped. 31% sniped in block 0? wrapped. 74% wash volume? jar. no team. no scanners. one doge with 8 legs and zero chill. you don't need to find the rug before everyone else. you need something that's already sitting on the web, waiting. one man's rug is a spider's lunch
RGK11,073 просмотров • 6 дней назад
![my octopus bot has 8 arms and the best one is the arm that sells 1,187 tool calls. 1.4M rows. 36 of 36 checks green in 27 seconds, and the clip only pays off at the moment it refuses to hold. most memecoin bots ask one question: is this pumping? OCTO asks the deployer first. if the rugcheck comes back with more than 1 flag, it doesn't argue with the chart. it inks and leaves. only a clean token gets a buy, and only when the edge clears 0.71. size stays at 0.4 SOL, take-profits are fixed at 1.8x and 3.2x. the whole brain is three lines: if risk.flags > 1: octoink() if edge > 0.71: snipe(size=0.4) bagsecure(tp=[1.8, 3.2]) how the 27 seconds play out: → 6 octopus agents spread across 8 arms: scan, score, route, review → pumpfun, raydium and X trends feed one board → arm 4 of 8 wins, 3 pools, 1.2M rows scanned → 34 of 36 checks pass, then the dev wallet dumps → the octopus reads the deployer and exits before the candle does → the next token clears all 36, and only then the bag gets secured pause on the red frame at 0:14. that's where most bots buy the dip. this one is already gone. ↳ RGK/SOL is a made-up pair, the market and the +4.1 SOL are a render, no real fills. what's worth stealing is the order: rug check before the buy rule, exit rule before the entry](https://image.24vids.com/tw-2112149079769727277/amplify_video_thumb/2112148966401855488/img/9c7WwFqpwXp54Yy7.jpg)
my octopus bot has 8 arms and the best one is the arm that sells 1,187 tool calls. 1.4M rows. 36 of 36 checks green in 27 seconds, and the clip only pays off at the moment it refuses to hold. most memecoin bots ask one question: is this pumping? OCTO asks the deployer first. if the rugcheck comes back with more than 1 flag, it doesn't argue with the chart. it inks and leaves. only a clean token gets a buy, and only when the edge clears 0.71. size stays at 0.4 SOL, take-profits are fixed at 1.8x and 3.2x. the whole brain is three lines: if risk.flags > 1: octoink() if edge > 0.71: snipe(size=0.4) bagsecure(tp=[1.8, 3.2]) how the 27 seconds play out: → 6 octopus agents spread across 8 arms: scan, score, route, review → pumpfun, raydium and X trends feed one board → arm 4 of 8 wins, 3 pools, 1.2M rows scanned → 34 of 36 checks pass, then the dev wallet dumps → the octopus reads the deployer and exits before the candle does → the next token clears all 36, and only then the bag gets secured pause on the red frame at 0:14. that's where most bots buy the dip. this one is already gone. ↳ RGK/SOL is a made-up pair, the market and the +4.1 SOL are a render, no real fills. what's worth stealing is the order: rug check before the buy rule, exit rule before the entry
RGK15,101 просмотров • 12 дней назад
7 ChatGPT prompts that made me $40K last month on YouTube. I didn’t film once. Here’s what I typed: Prompt 1: generate 10 viral video ideas in your niche, based on latest trends and what performs best. Prompt 2: write a full YouTube script with a hook, story arc, and call to action that maximizes watch time. Prompt 3: build me a faceless channel. Script it, voice it, edit it. Tell me every tool. Make it run without me. Prompt 4: generate a high-ranking title, description, and tags for my video. Clickworthy. SEO-optimized. Prompt 5: write a 15-second hook for my video that makes people physically unable to stop watching. Prompt 6: create a 30-day growth and monetization plan for a new channel from zero subscribers. Prompt 7: take my YouTube video and turn it into a blog post, a Reel, a TikTok, and a Twitter thread. 7 prompts. 1 laptop. 0 cameras. Most people are still filming themselves in bad lighting wondering why nobody watches. The channel doesn’t need your face. It needs your prompts.
RGK50,769 просмотров • 5 месяцев назад
A 21-year-old clears $35K a month from his bedroom. One laptop. Claude does 90% of the work he charges for. His parents still think he’s “looking for a job.” He stopped looking 8 months ago. Part 1 - Sell automations, not hours. Businesses drown in manual work - invoicing, lead follow-ups, booking reminders. He builds the system that kills the busywork. They pay $2,500 upfront plus $300/mo. Claude writes every workflow. Part 2 - Claude finds the buyers. Point it at a niche - real estate, clinics, contractors. It pulls 200 businesses still running on sticky notes and spreadsheets. The lead list builds itself by morning. Part 3 - One blueprint, every client. Same automation skeleton each time. Claude reads their process, rewires it, swaps the branding. 20 minutes per build instead of a week. Part 4 - The real ramp. Month 1: 3 clients, $7,500. Month 3: 9 clients, $19,000. Month 5: 15 clients, $30,000. Month 7: 20+ clients plus retainers pushing past $35K The $300 monthly fee is the engine. 70 clients on retainer is $21,000 that lands whether he works or not. What keeps everyone else stuck at 21: They wait to feel ready. He shipped client 1 before he felt ready. Claude covered the gaps. His friends are sending out résumés. He’s deciding which clients to fire. The job he was “looking for” pays a quarter of this. If this was useful - follow.
RGK35,387 просмотров • 4 месяцев назад
Grok Bot turned $500 into $100,000 in 2 days on Polymarket, and I built it in 20 minutes. 20 minutes of setup. No code. I don't run it. The bot lives on its own cloud machine. Own browser. Own terminal. My laptop is shut. Every 10 minutes, 6 assistants wake up in order. Scout scans 800 markets and drops anything under $10K liquidity. Listener is Grok itself. It reads live sentiment on every market Scout flags - it sees every post on this app. Pricer builds fair value and marks the gap. Under 8% mispricing, it stays quiet. Risk sizes the bet. Kelly criterion, hard cap 6% of bankroll. It has killed more trades than it has approved. Hands executes in its own browser. No API keys. No rust. Treasurer logs every fill to Telegram and pays the $200 subscription out of profit. Hour 4 the balance dipped to $380. Risk cut position size to 2% for 9 hours and came back up only after 6 green fills. Nobody told it to do that. Last winter I built the same thing by hand. 3 weeks of code for a worse version. Grok Bot did it in 20 minutes. I built it to trade for me. Now it pays its own bills.
RGK20,331 просмотров • 2 месяцев назад
A FLY BRAIN IS PLAYING CRASH BANDICOOT. Not an AI. Not a bot. Not a script. 166,700 simulated neurons from a real fly connectome - actual measured wiring from an actual insect. The loop: → The game screen gets fed in as retinal input → 166,700 neurons fire, ~57,000 spikes per update → The spikes get decoded into stick X and stick Y → The controller moves No training. No reward function. No weights. Just wiring that evolved over 300 million years, ripped out of a bug and pointed at a PlayStation game. Neural latency: 7.8ms. Real-time factor: 0.99x. It cleared the level. PERFECT. We spent a decade teaching machines to see. A housefly has been doing it since before we existed.
RGK12,231 просмотров • 1 месяц назад
7 steps and 2 clues created a woman who was bought a drink by a stranger. She doesn't exist. A stranger sat at a club bar last week. She picked out a man, started a conversation, bought him a round. He smiled back. The whole scene lived in a 6-second clip that pulled comments asking who she was. She was never there. No club, no drinks, no face that belongs to anyone. Here is the full build, 7 steps end to end. Open Pinterest, search “girl selfie,” save one image. Open Nano Banana Pro and swap the face with a single prompt. That photo now belongs to no one. Move the image into a node editor. Create 3 nodes: a reference image node, a text node, a video generator node. Drop the photo into the image node. Write 1 video prompt into the text node, the line that turns a still frame into motion. Connect text to text-in, image to image-in. Select Kling 2.6, set duration, switch sound on. Hit generate. 2 prompts. One face that exists nowhere. A 6-second clip people argued was real. The next person who buys you a drink at a bar might run on a text prompt.
RGK16,209 просмотров • 4 месяцев назад
Claude + n8n just automated an entire YouTube channel in 1 evening. No editor. No script writer. No camera. Here’s the exact setup: → Claude installed on desktop, connected to n8n via MCP → Project instructions define the workflow logic → 1 prompt triggers the entire pipeline: research, script, structure, output The workflow builds itself inside n8n. 1 link. Channel opens. Content is already queued. Most people are still writing scripts manually in 2025. A few set this up once and let Claude run the operation. Comment GUIDE and I’ll send over the full build.
RGK12,181 просмотров • 4 месяцев назад
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