正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Before: Ai Tee. Now: Ai Rin❤️‍🔥 Different names, same energy. Yeah, this ship isn’t gonna let me breathe😭🫵🏻 #dewtee #dew_jsu #tee_vtp #renjin

narin~

2,387 subscribers

31,094 次观看 • 18 天前 •via X (Twitter)

#dewtee #dew_jsu #tee_vtp #renjin

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

clawdbot + kling = ai “transformation” ads printing right now no real creators no months of filming no before/after pipelines just viral-style clips generated at scale look at formats like this beach hook problem callout gym transformation 3 different angles, same outcome each video hits a new trigger “if your husband…” “kill the belly…” “dad bod to this…” all ai generated same structure reused different scenarios layered on here’s the system → clawdbot builds hooks, angles, and scripts → kling generates scenes, characters, transformations → capcut handles pacing, captions, retention each video tests a new angle same goal different entry point most brands rely on one winning creative this runs dozens every week winners scale losers get replaced instantly ai didn’t improve creatives it multiplied testing rt + comment “angles” and i’ll send the setup (follow for dm)

clawdbot + kling = ai “transformation” ads printing right now no real creators no months of filming no before/after pipelines just viral-style clips generated at scale look at formats like this beach hook problem callout gym transformation 3 different angles, same outcome each video hits a new trigger “if your husband…” “kill the belly…” “dad bod to this…” all ai generated same structure reused different scenarios layered on here’s the system → clawdbot builds hooks, angles, and scripts → kling generates scenes, characters, transformations → capcut handles pacing, captions, retention each video tests a new angle same goal different entry point most brands rely on one winning creative this runs dozens every week winners scale losers get replaced instantly ai didn’t improve creatives it multiplied testing rt + comment “angles” and i’ll send the setup (follow for dm)

Florin

10,557 次观看 • 6 个月前

Same format, different character. It’s so crazy that we now need to be extra careful and pay extra attention to trying to differentiate real people from AI. and i really hope this doesn’t affect real people like me that are actually running a business and delivering the real deal

Same format, different character. It’s so crazy that we now need to be extra careful and pay extra attention to trying to differentiate real people from AI. and i really hope this doesn’t affect real people like me that are actually running a business and delivering the real deal

crochet hashira🧶

4,343,844 次观看 • 4 个月前

Knox Jolie-Pitt Drops Brad Pitt’s Last Name on His Diploma Weeks Before Turning 18 👀 Knox Jolie-Pitt is now going simply by Knox Jolie right before turning 18. Another of the kids following the same path as Maddox, Shiloh, and Zahara. In his recent graduation speech, Knox said: “Tonight, I’m gonna be fighting at Total Sonic Knockout 5 at 12:45 a.m., so catch me… I’m gonna knock ‘em the f—k out. Let’s go!” What happened to this kid? Family drama continues in Hollywood. What do you think — personal choice or something deeper? (Video: AI)

Knox Jolie-Pitt Drops Brad Pitt’s Last Name on His Diploma Weeks Before Turning 18 👀 Knox Jolie-Pitt is now going simply by Knox Jolie right before turning 18. Another of the kids following the same path as Maddox, Shiloh, and Zahara. In his recent graduation speech, Knox said: “Tonight, I’m gonna be fighting at Total Sonic Knockout 5 at 12:45 a.m., so catch me… I’m gonna knock ‘em the f—k out. Let’s go!” What happened to this kid? Family drama continues in Hollywood. What do you think — personal choice or something deeper? (Video: AI)

Paul A. Szypula 🇺🇸

417,181 次观看 • 3 个月前

The best time to understand a product is before everyone else is using it That’s one reason I’ve been following Quant AI With 100,000+ people already on the waitlist ahead of its public launch, interest is clearly building around what Quant AI is creating What stands out to me isn’t just the numbers It’s the problem the product is trying to solve Instead of adding another layer of charts, indicators, and dashboards, Quant AI is focused on making market research easier to navigate. With Quant AI, users can: ➫ Explore markets through natural conversations ➫ Follow crypto, stocks, and commodities from one interface ➫ Use chat and voice instead of constantly switching between tools ➫ Understand both opportunities and risks before taking action ➫ Move from research to execution through a simpler workflow We already have access to more market data than ever before The challenge isn’t finding information It’s knowing what matters That’s where I think Quant AI is taking a different approach, helping users spend less time searching and more time understanding. Maybe that’s one reason the waitlist has grown so quickly. People aren’t just looking for another trading platform. They’re looking for a better way to make sense of the markets. If you’re curious about where AI and financial intelligence are heading, now is a good time to explore what Quant AI is building before the public launch. Join the whitelist 👇 #QuantAIPioneers

The best time to understand a product is before everyone else is using it That’s one reason I’ve been following Quant AI With 100,000+ people already on the waitlist ahead of its public launch, interest is clearly building around what Quant AI is creating What stands out to me isn’t just the numbers It’s the problem the product is trying to solve Instead of adding another layer of charts, indicators, and dashboards, Quant AI is focused on making market research easier to navigate. With Quant AI, users can: ➫ Explore markets through natural conversations ➫ Follow crypto, stocks, and commodities from one interface ➫ Use chat and voice instead of constantly switching between tools ➫ Understand both opportunities and risks before taking action ➫ Move from research to execution through a simpler workflow We already have access to more market data than ever before The challenge isn’t finding information It’s knowing what matters That’s where I think Quant AI is taking a different approach, helping users spend less time searching and more time understanding. Maybe that’s one reason the waitlist has grown so quickly. People aren’t just looking for another trading platform. They’re looking for a better way to make sense of the markets. If you’re curious about where AI and financial intelligence are heading, now is a good time to explore what Quant AI is building before the public launch. Join the whitelist 👇 #QuantAIPioneers

Habibiofcrypto

146,787 次观看 • 3 个月前

Watching a character come to life from literally nothing hits different From a blank white canvas to a fully rendered character — no shortcuts, no magic snap, just pure sketch-to-color-to-polish energy. Every stroke, every layer, every color pick you see actually built this look step by step The best part? This entire animation was generated in just a few clicks: upload a reference image, drop in a prompt, pick your model, and let AI handle the rest 🤯 That's the power of AI video generation now. Made with MiniMax H3 on Fish Creative The prompt is in the comments 👇

Watching a character come to life from literally nothing hits different From a blank white canvas to a fully rendered character — no shortcuts, no magic snap, just pure sketch-to-color-to-polish energy. Every stroke, every layer, every color pick you see actually built this look step by step The best part? This entire animation was generated in just a few clicks: upload a reference image, drop in a prompt, pick your model, and let AI handle the rest 🤯 That's the power of AI video generation now. Made with MiniMax H3 on Fish Creative The prompt is in the comments 👇

Shami

34,462 次观看 • 26 天前

ONE OPERATOR STACKED 300 GPUS ACROSS TWO APARTMENTS IN THE SAME BUILDING AND RUNS A $48K/MONTH AI INFERENCE FARM ON VAST AI FROM HIS LIVING ROOM 00:17 he walks past stacks of GPU boxes, "and probably another 100 GPU boxes in the second apartment, let me know in the comments if you want to see them" he rents 2 units in the same building, one as his living space with 200 GPUs in the bedroom and hallway, the second is dedicated and climate controlled just for the other 100 cards a 300 RTX 4090 setup pulls 135 kilowatts fully loaded, his power bill runs $9,800 a month at $0.10 per kwh, on vast ai the same fleet clears $48,000 in gross monthly rental income he never built this in a warehouse because residential electricity in his city is cheaper than commercial under 150 kw, the split apartment trick keeps him under that ceiling while doubling his rack space the same hardware would have cleared maybe $9,000 a month mining ethereum classic in 2022, vast ai pays 5 times that for AI inference because nobody can ship enough H100s to meet startup demand bookmark this and read the article below

ONE OPERATOR STACKED 300 GPUS ACROSS TWO APARTMENTS IN THE SAME BUILDING AND RUNS A $48K/MONTH AI INFERENCE FARM ON VAST AI FROM HIS LIVING ROOM 00:17 he walks past stacks of GPU boxes, "and probably another 100 GPU boxes in the second apartment, let me know in the comments if you want to see them" he rents 2 units in the same building, one as his living space with 200 GPUs in the bedroom and hallway, the second is dedicated and climate controlled just for the other 100 cards a 300 RTX 4090 setup pulls 135 kilowatts fully loaded, his power bill runs $9,800 a month at $0.10 per kwh, on vast ai the same fleet clears $48,000 in gross monthly rental income he never built this in a warehouse because residential electricity in his city is cheaper than commercial under 150 kw, the split apartment trick keeps him under that ceiling while doubling his rack space the same hardware would have cleared maybe $9,000 a month mining ethereum classic in 2022, vast ai pays 5 times that for AI inference because nobody can ship enough H100s to meet startup demand bookmark this and read the article below

starmex

11,545 次观看 • 3 个月前

Found the product video script cheat code everyone's sleeping on. Built an automation that generates 5 different video scripts for any product in under 30 seconds. Each uses a proven angle: problem-solution, social proof, before-after, feature-benefit, challenge-overcome. Then I plug them straight into Arcads AI Product Showcase with my product images and get professional videos with AI avatars in minutes. Used to spend 15-20 minutes per script guessing which angle would work. Now I test all 5 and let the data tell me what converts. Comment "SCRIPTS" and I'll DM it to you (must be following)

Found the product video script cheat code everyone's sleeping on. Built an automation that generates 5 different video scripts for any product in under 30 seconds. Each uses a proven angle: problem-solution, social proof, before-after, feature-benefit, challenge-overcome. Then I plug them straight into Arcads AI Product Showcase with my product images and get professional videos with AI avatars in minutes. Used to spend 15-20 minutes per script guessing which angle would work. Now I test all 5 and let the data tell me what converts. Comment "SCRIPTS" and I'll DM it to you (must be following)

Zephyr

12,290 次观看 • 9 个月前

$28k/day ads look like 10/10 models now no studio, no crew, no real creator and you still can’t tell it’s ai natural lighting, skin texture, imperfect details it feels like a real skincare routine that’s why it works no overacting, no forced hooks, no “ad energy” just calm, believable usage people don’t question it, they trust it same script → dozens of faces, tones, environments each one hits a slightly different audience this is what scalable ugc looks like now rt + comment “realugc” and i’ll send the setup (follow for dm)

$28k/day ads look like 10/10 models now no studio, no crew, no real creator and you still can’t tell it’s ai natural lighting, skin texture, imperfect details it feels like a real skincare routine that’s why it works no overacting, no forced hooks, no “ad energy” just calm, believable usage people don’t question it, they trust it same script → dozens of faces, tones, environments each one hits a slightly different audience this is what scalable ugc looks like now rt + comment “realugc” and i’ll send the setup (follow for dm)

David

15,276 次观看 • 5 个月前

Today we're shipping the governance layer enterprise AI was missing. Every organization running AI at scale faces the same choice: turn off AI connections to tools entirely, or let agents have full access to everything. Today we're launching a better path: precise control over connections, actions, and models across every surface. The goal is simple: IT gets visibility and control, teams keep building, no approval queue in between. 6 new capabilities in Zapier today: 1. Action restrictions at the endpoint level 2. Managed app connections with domain control 3. Bring your own model through AWS Bedrock 4. A queryable audit trail 5. Agents GA with MCP governed across every surface 6. Workspaces (GA later this quarter) One set of rules for your entire AI stack. Try it now. If you've had early access, let me know what you think.

Today we're shipping the governance layer enterprise AI was missing. Every organization running AI at scale faces the same choice: turn off AI connections to tools entirely, or let agents have full access to everything. Today we're launching a better path: precise control over connections, actions, and models across every surface. The goal is simple: IT gets visibility and control, teams keep building, no approval queue in between. 6 new capabilities in Zapier today: 1. Action restrictions at the endpoint level 2. Managed app connections with domain control 3. Bring your own model through AWS Bedrock 4. A queryable audit trail 5. Agents GA with MCP governed across every surface 6. Workspaces (GA later this quarter) One set of rules for your entire AI stack. Try it now. If you've had early access, let me know what you think.

Wade Foster

32,542 次观看 • 5 个月前

🚨THIS IS INSANE This is the Dot-Com crash overlaid on today’s S&P 500. And the overlap is almost PERFECT. Every week, I come back expecting the pattern to finally break. It does NOT. The market keeps following the same structure: → Same final pump → Same rejection → Same first correction → Same weak recovery → Same setup before the real crash Now look at the numbers. Dot-Com crash: → S&P 500 dropped around 49% → Nasdaq dropped around 78% → The collapse lasted more than 2 years Today: → AI stocks dominate the index → Valuations are near extreme levels → Retail is fully bullish → Everyone believes the rally will continue That is exactly how the last bubble ended. I’m not saying the S&P 500 must repeat the Dot-Com crash tick for tick. But when two market structures track this closely for this long, ignoring it becomes dangerous. People will say this time is different. They always do. What are your thoughts on this? Follow and turn notifications on. I’ll post the warning BEFORE it hits the headlines.

🚨THIS IS INSANE This is the Dot-Com crash overlaid on today’s S&P 500. And the overlap is almost PERFECT. Every week, I come back expecting the pattern to finally break. It does NOT. The market keeps following the same structure: → Same final pump → Same rejection → Same first correction → Same weak recovery → Same setup before the real crash Now look at the numbers. Dot-Com crash: → S&P 500 dropped around 49% → Nasdaq dropped around 78% → The collapse lasted more than 2 years Today: → AI stocks dominate the index → Valuations are near extreme levels → Retail is fully bullish → Everyone believes the rally will continue That is exactly how the last bubble ended. I’m not saying the S&P 500 must repeat the Dot-Com crash tick for tick. But when two market structures track this closely for this long, ignoring it becomes dangerous. People will say this time is different. They always do. What are your thoughts on this? Follow and turn notifications on. I’ll post the warning BEFORE it hits the headlines.

Wimar.X

366,672 次观看 • 2 个月前

🚨THIS IS INSANE This is the Dot-Com crash overlaid on today’s S&P 500. And the overlap is PERFECT. Every week, I come back expecting the pattern to finally break. It does NOT. The market keeps following the same structure: → Same final pump → Same rejection → Same first correction → Same weak recovery → Same setup before the real crash Now look at the numbers. Dot-Com crash: → S&P 500 dropped 49% → Nasdaq dropped 78% → The collapse lasted more than 2 years Today: → AI stocks dominate the index → Valuations are near extreme levels → Retail is fully bullish → Everyone believes the rally will continue That is exactly how the last bubble ended. I’m not saying the S&P 500 must repeat the Dot-Com crash tick for tick. But when two market structures track this closely for this long, ignoring it becomes dangerous. People will say this time is different. They always do. What are your thoughts on this? Follow and turn notifications on. I’ll post the warning BEFORE it hits the headlines.

🚨THIS IS INSANE This is the Dot-Com crash overlaid on today’s S&P 500. And the overlap is PERFECT. Every week, I come back expecting the pattern to finally break. It does NOT. The market keeps following the same structure: → Same final pump → Same rejection → Same first correction → Same weak recovery → Same setup before the real crash Now look at the numbers. Dot-Com crash: → S&P 500 dropped 49% → Nasdaq dropped 78% → The collapse lasted more than 2 years Today: → AI stocks dominate the index → Valuations are near extreme levels → Retail is fully bullish → Everyone believes the rally will continue That is exactly how the last bubble ended. I’m not saying the S&P 500 must repeat the Dot-Com crash tick for tick. But when two market structures track this closely for this long, ignoring it becomes dangerous. People will say this time is different. They always do. What are your thoughts on this? Follow and turn notifications on. I’ll post the warning BEFORE it hits the headlines.

Wimar.X

202,669 次观看 • 2 个月前

Michelle Obama calls MAGA supporters “desperate” working-class people who are “voting against their own interests” — but insists they’re not racists. She said this on Sunday on the “Talk Easy with Sam Fragoso” podcast. After 8 years of her husband’s policies that delivered crushing inflation, open borders, and record energy prices, she’s now lecturing with faux empathy? The same elitist who skipped Trump’s inauguration and still talks down to half the country as confused victims. MAGA isn’t desperation — it’s Americans rejecting the failed Obama-Biden legacy and choosing results. What happened to Michelle handling political differences by “going high”? (Video: AI)

Michelle Obama calls MAGA supporters “desperate” working-class people who are “voting against their own interests” — but insists they’re not racists. She said this on Sunday on the “Talk Easy with Sam Fragoso” podcast. After 8 years of her husband’s policies that delivered crushing inflation, open borders, and record energy prices, she’s now lecturing with faux empathy? The same elitist who skipped Trump’s inauguration and still talks down to half the country as confused victims. MAGA isn’t desperation — it’s Americans rejecting the failed Obama-Biden legacy and choosing results. What happened to Michelle handling political differences by “going high”? (Video: AI)

Paul A. Szypula 🇺🇸

12,700 次观看 • 4 个月前

On August 11, SpaceXAI shipped Grok Bot. Grok Bot was built to stay on, gets its own computer, works inside apps and tools like you do, and keep working 24/7 even when your laptop is off. And a lot of AI agents existed before this, including OpenAI’s earlier agent products, but most of them worked more like where you give it a job, let it finish, and then it stops. Grok Bot pushed the idea of having an AI worker that is always there, always running, and organized more like a team. You can have a chief of staff at the top, different specialists handling different jobs, and now the same bot can even be shared across a team. Then on September 8, Meta launched Muse, 28 days later. Meta called it “The World’s First Personal AI Agent Built for Everyone.” Muse also gets its own computer in the cloud. It can work across apps, keep going after you close it, and ask before doing things like sending emails or spending money. Zuck made it a huge part of Meta Connect and talked about bringing this kind of agent to billions of people. Then yesterday, 49 days after Grok Bot launched, Sam introduced dots. OpenAI describes them as always-on agents with their own cloud computers that can work on your goals 24/7 and connect across thousands of apps. A full team of dots is part of the bigger vision too. So when I see people framing this as OpenAI vs. Meta, a huge part of the story is missing… Grok Bot shipped first. The shift toward always-on AI workers with their own computers is clearly where the industry is going now and Grok Bot kicked off the next big AI product category… it’s one of the hottest products in AI. But don’t get it twisted, everyone is copying Elon right now.

On August 11, SpaceXAI shipped Grok Bot. Grok Bot was built to stay on, gets its own computer, works inside apps and tools like you do, and keep working 24/7 even when your laptop is off. And a lot of AI agents existed before this, including OpenAI’s earlier agent products, but most of them worked more like where you give it a job, let it finish, and then it stops. Grok Bot pushed the idea of having an AI worker that is always there, always running, and organized more like a team. You can have a chief of staff at the top, different specialists handling different jobs, and now the same bot can even be shared across a team. Then on September 8, Meta launched Muse, 28 days later. Meta called it “The World’s First Personal AI Agent Built for Everyone.” Muse also gets its own computer in the cloud. It can work across apps, keep going after you close it, and ask before doing things like sending emails or spending money. Zuck made it a huge part of Meta Connect and talked about bringing this kind of agent to billions of people. Then yesterday, 49 days after Grok Bot launched, Sam introduced dots. OpenAI describes them as always-on agents with their own cloud computers that can work on your goals 24/7 and connect across thousands of apps. A full team of dots is part of the bigger vision too. So when I see people framing this as OpenAI vs. Meta, a huge part of the story is missing… Grok Bot shipped first. The shift toward always-on AI workers with their own computers is clearly where the industry is going now and Grok Bot kicked off the next big AI product category… it’s one of the hottest products in AI. But don’t get it twisted, everyone is copying Elon right now.

Teslaconomics

15,785 次观看 • 7 天前

🚨 WARNING: THE SITUATION JUST TOOK A VERY BAD TURN The Fed is now expected to raise rates another 25 bps in October. Think about that for a moment. Just months ago, markets were expecting 2026 to be dominated by rate cuts. Now investors are preparing for another hike. Yet somehow, stocks are still hovering close to record highs. Something doesn’t quite add up: → Oil is above $100. → Diesel prices are near historical highs. → Inflation remains stubborn. → Rates are already restrictive. And now another Fed hike is back on the table. So what is keeping the market afloat? AI. But this is where most people are missing the bigger picture. The AI boom isn’t only lifting equities. It’s also giving the Fed more room to remain hawkish. Huge AI investments are keeping economic growth strong, while a small group of mega-cap companies continues to support the major indexes. As long as that continues, the Fed has little incentive to ease policy. That’s the real trap: AI boom → stronger growth → persistent inflation → rates stay elevated → another hike becomes possible. Now add oil to the equation: $100+ crude → rising energy costs → additional inflation pressure → even less room for rate cuts. Whether the next move comes in October or December isn’t the main issue. The direction is. A few months ago, the expectation was cuts. Now we’re talking about no cuts, followed by a hike, and potentially more tightening afterward. The market can absorb all of this as long as AI continues carrying it. The real danger begins when AI loses momentum. If those mega-cap names finally break down while rates are rising and inflation remains elevated, the market could lose the main force absorbing all that pressure. Then things can move very quickly: AI breaks → indexes drop → liquidity dries up → forced selling begins. And when forced selling hits, funds don’t necessarily sell what they want. They sell whatever they can. Stocks. Metals. Bitcoin. Everything. That’s the part most people aren’t prepared for. And ironically, that’s where the next major buying opportunity could appear. I’m not afraid of the selloff. I’m waiting for it. I’ve been trading for 15+ years, and the pattern remains the same. When liquidation arrives and I see a level that genuinely makes sense to buy, I’ll share it here just like I always do. Turn on notifications. You’ll want to see this chart later.

🚨 WARNING: THE SITUATION JUST TOOK A VERY BAD TURN The Fed is now expected to raise rates another 25 bps in October. Think about that for a moment. Just months ago, markets were expecting 2026 to be dominated by rate cuts. Now investors are preparing for another hike. Yet somehow, stocks are still hovering close to record highs. Something doesn’t quite add up: → Oil is above $100. → Diesel prices are near historical highs. → Inflation remains stubborn. → Rates are already restrictive. And now another Fed hike is back on the table. So what is keeping the market afloat? AI. But this is where most people are missing the bigger picture. The AI boom isn’t only lifting equities. It’s also giving the Fed more room to remain hawkish. Huge AI investments are keeping economic growth strong, while a small group of mega-cap companies continues to support the major indexes. As long as that continues, the Fed has little incentive to ease policy. That’s the real trap: AI boom → stronger growth → persistent inflation → rates stay elevated → another hike becomes possible. Now add oil to the equation: $100+ crude → rising energy costs → additional inflation pressure → even less room for rate cuts. Whether the next move comes in October or December isn’t the main issue. The direction is. A few months ago, the expectation was cuts. Now we’re talking about no cuts, followed by a hike, and potentially more tightening afterward. The market can absorb all of this as long as AI continues carrying it. The real danger begins when AI loses momentum. If those mega-cap names finally break down while rates are rising and inflation remains elevated, the market could lose the main force absorbing all that pressure. Then things can move very quickly: AI breaks → indexes drop → liquidity dries up → forced selling begins. And when forced selling hits, funds don’t necessarily sell what they want. They sell whatever they can. Stocks. Metals. Bitcoin. Everything. That’s the part most people aren’t prepared for. And ironically, that’s where the next major buying opportunity could appear. I’m not afraid of the selloff. I’m waiting for it. I’ve been trading for 15+ years, and the pattern remains the same. When liquidation arrives and I see a level that genuinely makes sense to buy, I’ll share it here just like I always do. Turn on notifications. You’ll want to see this chart later.

Bitcoin Intelligence

31,232 次观看 • 17 天前

🚨Let me explain what just happened because I don't think people understand how insane this is. > A woman asked ChatGPT for legal help. It told her to fire her real lawyer. She did. > Then it wrote 40+ court filings citing laws that don't exist. Cases that never happened. Judges that never ruled. > The other side spent $300,000 responding to completely made up legal documents. > An AI hallucinated an entire legal career and nobody noticed for months. > OpenAI is now being sued for $10 million. And this is the same company that just signed a deal with the Pentagon. They can't even stop their AI from faking court cases. But sure, give it access to military intelligence. What could possibly go wrong.

🚨Let me explain what just happened because I don't think people understand how insane this is. > A woman asked ChatGPT for legal help. It told her to fire her real lawyer. She did. > Then it wrote 40+ court filings citing laws that don't exist. Cases that never happened. Judges that never ruled. > The other side spent $300,000 responding to completely made up legal documents. > An AI hallucinated an entire legal career and nobody noticed for months. > OpenAI is now being sued for $10 million. And this is the same company that just signed a deal with the Pentagon. They can't even stop their AI from faking court cases. But sure, give it access to military intelligence. What could possibly go wrong.

Tuki

9,602,634 次观看 • 7 个月前

Contact sheet prompting is the hottest AI video technique right now 🤯 If you've seen this technique blowing up, here's why it works: You feed AI one image, and it generates a grid of consistent shots—same face, same outfit, different angles and poses. Instant storyboarding. Full creative control. No reshoots. But doing it manually is brutal: → Write the prompt from scratch → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one at a time → Repeat for every single product That's hours of work per campaign. This n8n automation handles everything: → Upload a character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 creates smooth transitions between frames → 5 video clips land in Airtable ready to use No manual cropping. No frame-by-frame prompting. No tedious busywork. What you get in Airtable: - AI-generated creative prompt - Hero image (model + product) - Full 6-frame contact sheet - 5 cinematic video clips - Approval gates before each step All inside n8n + Airtable. Contact sheet prompting on complete autopilot. I recorded a 20-minute Loom showing exactly how I built this. Want the walkthrough + the full n8n workflow + Airtable base? > Like this post > Comment "CONTACT" And I'll send it over (must be following so I can DM)

Contact sheet prompting is the hottest AI video technique right now 🤯 If you've seen this technique blowing up, here's why it works: You feed AI one image, and it generates a grid of consistent shots—same face, same outfit, different angles and poses. Instant storyboarding. Full creative control. No reshoots. But doing it manually is brutal: → Write the prompt from scratch → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one at a time → Repeat for every single product That's hours of work per campaign. This n8n automation handles everything: → Upload a character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 creates smooth transitions between frames → 5 video clips land in Airtable ready to use No manual cropping. No frame-by-frame prompting. No tedious busywork. What you get in Airtable: - AI-generated creative prompt - Hero image (model + product) - Full 6-frame contact sheet - 5 cinematic video clips - Approval gates before each step All inside n8n + Airtable. Contact sheet prompting on complete autopilot. I recorded a 20-minute Loom showing exactly how I built this. Want the walkthrough + the full n8n workflow + Airtable base? > Like this post > Comment "CONTACT" And I'll send it over (must be following so I can DM)

Mike Futia

24,619 次观看 • 8 个月前

🚨 SOMETHING MUCH BIGGER MAY BE BUILDING BEHIND THE SCENES. Warnings about food, energy, debt, AI, and financial instability are suddenly coming from some of the most powerful people in global finance. JPMorgan research has warned that the next major global food crisis may not be short-lived and could emerge as soon as next year. Bill Gates has also been warning about hunger, malnutrition, and child mortality moving in the wrong direction after decades of progress. At the same time, Jamie Dimon says the risks are "bigger than other people think" and continues warning about serious stress building in bond markets. Ray Dalio, central bankers, and energy executives keep circling around the same risks: Food. Energy. War. Debt. AI disruption. WHEN THIS MANY PEOPLE ARE WARNING ABOUT THE SAME THINGS AT THE SAME TIME, IT'S WORTH PAYING ATTENTION. Now comments attributed to Bank of Japan voice Yuto 🇯🇵 are adding another layer to the story: the idea that policymakers could eventually point to an outside crisis as the explanation for economic pain already building underneath the system. We've seen a version of this sequence before. In 2019, the repo market suddenly seized up. Liquidity disappeared, overnight funding rates exploded into double digits, and the Fed was forced to inject cash into the system. Then COVID arrived. What followed was one of the largest monetary responses in modern history, with trillions of dollars created to keep the financial system functioning. THE FINANCIAL STRESS STARTED BEFORE THE CRISIS DID. And today, the underlying problems are arguably even larger. Global debt keeps climbing. Government deficits have become structural. Bond yields remain difficult to contain. Foreign demand for Treasuries is under pressure in key markets. Meanwhile, central banks have been accumulating gold at an extraordinary pace. THE WORLD'S MONETARY AUTHORITIES ARE CLEARLY PREPARING FOR A DIFFERENT KIND OF SYSTEM. That doesn't prove anyone is engineering the next crisis. But if another major shock hits food, energy, AI, or global trade while the financial system is already under pressure, governments and central banks could once again have the justification for extraordinary monetary intervention. THE REAL QUESTION ISN'T WHETHER THE NEXT SHOCK COMES? IT'S WHAT THE FINANCIAL SYSTEM WILL LOOK LIKE AFTER IT DOES!👀

🚨 SOMETHING MUCH BIGGER MAY BE BUILDING BEHIND THE SCENES. Warnings about food, energy, debt, AI, and financial instability are suddenly coming from some of the most powerful people in global finance. JPMorgan research has warned that the next major global food crisis may not be short-lived and could emerge as soon as next year. Bill Gates has also been warning about hunger, malnutrition, and child mortality moving in the wrong direction after decades of progress. At the same time, Jamie Dimon says the risks are "bigger than other people think" and continues warning about serious stress building in bond markets. Ray Dalio, central bankers, and energy executives keep circling around the same risks: Food. Energy. War. Debt. AI disruption. WHEN THIS MANY PEOPLE ARE WARNING ABOUT THE SAME THINGS AT THE SAME TIME, IT'S WORTH PAYING ATTENTION. Now comments attributed to Bank of Japan voice Yuto 🇯🇵 are adding another layer to the story: the idea that policymakers could eventually point to an outside crisis as the explanation for economic pain already building underneath the system. We've seen a version of this sequence before. In 2019, the repo market suddenly seized up. Liquidity disappeared, overnight funding rates exploded into double digits, and the Fed was forced to inject cash into the system. Then COVID arrived. What followed was one of the largest monetary responses in modern history, with trillions of dollars created to keep the financial system functioning. THE FINANCIAL STRESS STARTED BEFORE THE CRISIS DID. And today, the underlying problems are arguably even larger. Global debt keeps climbing. Government deficits have become structural. Bond yields remain difficult to contain. Foreign demand for Treasuries is under pressure in key markets. Meanwhile, central banks have been accumulating gold at an extraordinary pace. THE WORLD'S MONETARY AUTHORITIES ARE CLEARLY PREPARING FOR A DIFFERENT KIND OF SYSTEM. That doesn't prove anyone is engineering the next crisis. But if another major shock hits food, energy, AI, or global trade while the financial system is already under pressure, governments and central banks could once again have the justification for extraordinary monetary intervention. THE REAL QUESTION ISN'T WHETHER THE NEXT SHOCK COMES? IT'S WHAT THE FINANCIAL SYSTEM WILL LOOK LIKE AFTER IT DOES!👀

DANNY

140,608 次观看 • 1 个月前

🚨 THIS LIST COULD MAKE YOU RICH Bitcoin moves first. Capital always rotates down the risk curve. That is where the outsized moves live. Eleven names on my screen right now, and what each one has to prove: $PUMP - biggest trading narrative in crypto right now. If activity picks back up, this moves fast. $LIT - watching in the perps / derivatives space. The question is whether it can take ground from bigger players. $NEAR - AI + infrastructure thesis. If crypto AI heats up again, I want this on my screen. $WLD - ambitious AI / identity play. Huge narrative, huge potential market. Plenty still needs to go right. $ZAMA - privacy is getting interesting again. Already 2x the sale price, but it hasn't had the kind of move the hottest early launches get. $VVV - revenue growth caught my attention. Watching the numbers and product behavior more than the narrative. $ORBIO - high-risk Venice bet. Very speculative. If attention and liquidity keep flowing into Venice, this moves hard. $ONDO - RWA remains one of the bigger infrastructure narratives in crypto. ONDO is right in the middle of it. $BP - watching as an exchange / infrastructure play, especially if the market starts rewarding crypto businesses with real users again. $KNTQ - Kinetiq is much less crowded than most names here. That can stay irrelevant for a while - until it doesn't. $FOLD - different kind of crypto bet. Watching how the market values companies building real financial products around Bitcoin and crypto. My next breakdown will be posted here first. Follow and turn notifications on before the next move.

🚨 THIS LIST COULD MAKE YOU RICH Bitcoin moves first. Capital always rotates down the risk curve. That is where the outsized moves live. Eleven names on my screen right now, and what each one has to prove: $PUMP - biggest trading narrative in crypto right now. If activity picks back up, this moves fast. $LIT - watching in the perps / derivatives space. The question is whether it can take ground from bigger players. $NEAR - AI + infrastructure thesis. If crypto AI heats up again, I want this on my screen. $WLD - ambitious AI / identity play. Huge narrative, huge potential market. Plenty still needs to go right. $ZAMA - privacy is getting interesting again. Already 2x the sale price, but it hasn't had the kind of move the hottest early launches get. $VVV - revenue growth caught my attention. Watching the numbers and product behavior more than the narrative. $ORBIO - high-risk Venice bet. Very speculative. If attention and liquidity keep flowing into Venice, this moves hard. $ONDO - RWA remains one of the bigger infrastructure narratives in crypto. ONDO is right in the middle of it. $BP - watching as an exchange / infrastructure play, especially if the market starts rewarding crypto businesses with real users again. $KNTQ - Kinetiq is much less crowded than most names here. That can stay irrelevant for a while - until it doesn't. $FOLD - different kind of crypto bet. Watching how the market values companies building real financial products around Bitcoin and crypto. My next breakdown will be posted here first. Follow and turn notifications on before the next move.

Nonzee

15,089 次观看 • 15 天前

So Cluely is getting 400k+ views with AI TikTok slideshows. And I just automated the entire system 🤯 AI selfie hook → listicle slides → soft CTA on the last slide. Rinse. Repeat. Scale. And now my n8n + Airtable system runs it on complete autopilot. Perfect for e-comm brands & SaaS companies who want to test this format without the manual grind. Here's why this format is blowing up: → AI-generated "selfie" as the hook image → 5-8 slides with tips, hacks, or advice → Text overlays generated automatically → Promotes product on the final slide → Music added automatically on publish 362k views. 462k views. 492k views. Same playbook, multiple accounts, fully automated. Here's what my system does: → Define your niche, tone, and content style in Airtable → AI generates slide text and hooks automatically → Nano Banana creates every image with text overlays → Preview and approve before anything goes live → Blotato publishes to TikTok on your schedule—with music No manual Canva work. No writing slides one by one. No posting by hand. What you control in Airtable: * Niche and content direction * Hook style and tone * Image aesthetic and reference images * Posting schedule (days + times) * Approval before publish Set it up once. Let it run daily. I recorded a full step-by-step tutorial showing exactly how to build this system. Want access for free? > Like this post > Comment "SLIDES" And I'll send it over (must be following so I can DM)

So Cluely is getting 400k+ views with AI TikTok slideshows. And I just automated the entire system 🤯 AI selfie hook → listicle slides → soft CTA on the last slide. Rinse. Repeat. Scale. And now my n8n + Airtable system runs it on complete autopilot. Perfect for e-comm brands & SaaS companies who want to test this format without the manual grind. Here's why this format is blowing up: → AI-generated "selfie" as the hook image → 5-8 slides with tips, hacks, or advice → Text overlays generated automatically → Promotes product on the final slide → Music added automatically on publish 362k views. 462k views. 492k views. Same playbook, multiple accounts, fully automated. Here's what my system does: → Define your niche, tone, and content style in Airtable → AI generates slide text and hooks automatically → Nano Banana creates every image with text overlays → Preview and approve before anything goes live → Blotato publishes to TikTok on your schedule—with music No manual Canva work. No writing slides one by one. No posting by hand. What you control in Airtable: * Niche and content direction * Hook style and tone * Image aesthetic and reference images * Posting schedule (days + times) * Approval before publish Set it up once. Let it run daily. I recorded a full step-by-step tutorial showing exactly how to build this system. Want access for free? > Like this post > Comment "SLIDES" And I'll send it over (must be following so I can DM)

Mike Futia

181,705 次观看 • 8 个月前