RGK

@rgk_degen • 5,548 subscribers

chill, this is ai world

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2 columns of white humanoid robots marched through 6 street fires to protest the humans who built them. Arms raised. Perfect step. Fires burning on the asphalt, a car smoldering down the block, and the machines walking straight through it like they’d seen riots before. The crackdown came fast. 4 men in body armor waded into the column with hammers. Plastic shells cracked. White limbs scattered across the wet road. One soldier scooped an armful of robot parts and stuffed them down an open manhole. A detached head slid across the lane. 15 seconds. March to massacre. Here is the part that matters. No robot marched. No soldier swung. Nobody stood on that balcony filming. The clip is AI-generated end to end. The street, the fires, the crackdown - rendered. The shaky vertical phone aesthetic is a style prompt. And that’s the real story. Robots as protest proxies is already a live debate - machines standing in the street so humans don’t take the baton. This video skipped even that step. The protest was synthetic. The violence was synthetic. The witness was synthetic. Every human in the pipeline got replaced before a single robot shipped. Robots don’t need to march against you yet. The video of them marching already does.

2 columns of white humanoid robots marched through 6 street fires to protest the humans who built them. Arms raised. Perfect step. Fires burning on the asphalt, a car smoldering down the block, and the machines walking straight through it like they’d seen riots before. The crackdown came fast. 4 men in body armor waded into the column with hammers. Plastic shells cracked. White limbs scattered across the wet road. One soldier scooped an armful of robot parts and stuffed them down an open manhole. A detached head slid across the lane. 15 seconds. March to massacre. Here is the part that matters. No robot marched. No soldier swung. Nobody stood on that balcony filming. The clip is AI-generated end to end. The street, the fires, the crackdown - rendered. The shaky vertical phone aesthetic is a style prompt. And that’s the real story. Robots as protest proxies is already a live debate - machines standing in the street so humans don’t take the baton. This video skipped even that step. The protest was synthetic. The violence was synthetic. The witness was synthetic. Every human in the pipeline got replaced before a single robot shipped. Robots don’t need to march against you yet. The video of them marching already does.

105,930 görüntüleme

HOW I WILL TURN 200$ INTO 25000$ I am launching a challenge from 200$ to 25000$, I think it will be easy for me, all my actions will be shared in the telegram channel and twitter I'll start the Challenge by buying a token #RIZZMAS

HOW I WILL TURN 200$ INTO 25000$ I am launching a challenge from 200$ to 25000$, I think it will be easy for me, all my actions will be shared in the telegram channel and twitter I'll start the Challenge by buying a token #RIZZMAS

17,502 görüntüleme

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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.

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.

187,403 görüntüleme • 3 ay önce

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.

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.

20,331 görüntüleme • 22 gün önce

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.

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.

50,024 görüntüleme • 3 ay önce

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.

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.

35,209 görüntüleme • 2 ay önce

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.

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.

16,209 görüntüleme • 3 ay önce

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.

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.

12,181 görüntüleme • 3 ay önce

$HOOD looks better that $ALPHA Good range now, clean bubblemaps Dev hold less than 2% supply Currently mcap 41M 118M ATH 80k holders 24H Volume 8.5M Follow me and repost this post, lets push this token together

$HOOD looks better that $ALPHA Good range now, clean bubblemaps Dev hold less than 2% supply Currently mcap 41M 118M ATH 80k holders 24H Volume 8.5M Follow me and repost this post, lets push this token together

13,987 görüntüleme • 1 yıl önce

Daha fazla içerik yok.