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A Chinese creator just turned a personal AI project into one of the most watched long-form videos on the internet.
They used ByteDance’s Seedance 2.0 to build a nearly two-hour popular science video on the history of human evolution that pulled more than 100 million views across the web.
Seedance 2.0 caps generations at 15 seconds, so a project this size meant roughly 480 clips threaded together with ByteDance’s Smart Multi-frame tool.
A nature documentary at this scope used to require a studio, a research team, voice actors, and roughly a year of production.
This one was a single person grinding through hundreds of prompts until the timeline filled out.
What are your thoughts on this? 🤔💬
—
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#ai #artificialintelligence #technology
💧🏭 A neighborhood in Fayette County, Georgia kept losing water pressure. The county first asked residents to stop watering their lawns. The real cause was something else entirely.
About 20 miles south of Atlanta, a Quality Technology Services data center campus had been drawing roughly 29 million gallons of water through two industrial connections the utility did not know existed.
One was installed without the utility's knowledge. The other was never tied to a billing account.
The 615-acre site, owned by Blackstone, is one of the largest data center developments in the country, with 13 buildings totaling around 6.2 million square feet and plans for up to 16.
The county issued a retroactive bill of $147,474 and chose not to fine the company. The water system director said, "They're our largest customer, and we have to be partners."
Power usually gets the headlines, but cases like this show water is becoming a quieter constraint on AI infrastructure, especially in suburban utilities built for a much smaller scale.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
💧🏭 A neighborhood in Fayette County, Georgia kept losing water pressure. The county first asked residents to stop watering their lawns. The real cause was something else entirely.
About 20 miles south of Atlanta, a Quality Technology Services data center campus had been drawing roughly 29 million gallons of water through two industrial connections the utility did not know existed.
One was installed without the utility's knowledge. The other was never tied to a billing account.
The 615-acre site, owned by Blackstone, is one of the largest data center developments in the country, with 13 buildings totaling around 6.2 million square feet and plans for up to 16.
The county issued a retroactive bill of $147,474 and chose not to fine the company. The water system director said, "They're our largest customer, and we have to be partners."
Power usually gets the headlines, but cases like this show water is becoming a quieter constraint on AI infrastructure, especially in suburban utilities built for a much smaller scale.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
💧🏭 A neighborhood in Fayette County, Georgia kept losing water pressure. The county first asked residents to stop watering their lawns. The real cause was something else entirely.
About 20 miles south of Atlanta, a Quality Technology Services data center campus had been drawing roughly 29 million gallons of water through two industrial connections the utility did not know existed.
One was installed without the utility's knowledge. The other was never tied to a billing account.
The 615-acre site, owned by Blackstone, is one of the largest data center developments in the country, with 13 buildings totaling around 6.2 million square feet and plans for up to 16.
The county issued a retroactive bill of $147,474 and chose not to fine the company. The water system director said, "They're our largest customer, and we have to be partners."
Power usually gets the headlines, but cases like this show water is becoming a quieter constraint on AI infrastructure, especially in suburban utilities built for a much smaller scale.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
💧🏭 A neighborhood in Fayette County, Georgia kept losing water pressure. The county first asked residents to stop watering their lawns. The real cause was something else entirely.
About 20 miles south of Atlanta, a Quality Technology Services data center campus had been drawing roughly 29 million gallons of water through two industrial connections the utility did not know existed.
One was installed without the utility's knowledge. The other was never tied to a billing account.
The 615-acre site, owned by Blackstone, is one of the largest data center developments in the country, with 13 buildings totaling around 6.2 million square feet and plans for up to 16.
The county issued a retroactive bill of $147,474 and chose not to fine the company. The water system director said, "They're our largest customer, and we have to be partners."
Power usually gets the headlines, but cases like this show water is becoming a quieter constraint on AI infrastructure, especially in suburban utilities built for a much smaller scale.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
💧🏭 A neighborhood in Fayette County, Georgia kept losing water pressure. The county first asked residents to stop watering their lawns. The real cause was something else entirely.
About 20 miles south of Atlanta, a Quality Technology Services data center campus had been drawing roughly 29 million gallons of water through two industrial connections the utility did not know existed.
One was installed without the utility's knowledge. The other was never tied to a billing account.
The 615-acre site, owned by Blackstone, is one of the largest data center developments in the country, with 13 buildings totaling around 6.2 million square feet and plans for up to 16.
The county issued a retroactive bill of $147,474 and chose not to fine the company. The water system director said, "They're our largest customer, and we have to be partners."
Power usually gets the headlines, but cases like this show water is becoming a quieter constraint on AI infrastructure, especially in suburban utilities built for a much smaller scale.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
💧🏭 A neighborhood in Fayette County, Georgia kept losing water pressure. The county first asked residents to stop watering their lawns. The real cause was something else entirely.
About 20 miles south of Atlanta, a Quality Technology Services data center campus had been drawing roughly 29 million gallons of water through two industrial connections the utility did not know existed.
One was installed without the utility's knowledge. The other was never tied to a billing account.
The 615-acre site, owned by Blackstone, is one of the largest data center developments in the country, with 13 buildings totaling around 6.2 million square feet and plans for up to 16.
The county issued a retroactive bill of $147,474 and chose not to fine the company. The water system director said, "They're our largest customer, and we have to be partners."
Power usually gets the headlines, but cases like this show water is becoming a quieter constraint on AI infrastructure, especially in suburban utilities built for a much smaller scale.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
🤖 🖐️ A six-person team competing at MIT's Hard Mode 2026 hackathon just built a wearable system that lets AI briefly take control of your hand to help you learn or perform actions you cannot do on your own.
The project, called Human Operator, won the Learn Track. A head-mounted camera and voice input feed into Anthropic's Claude API, which decides what motion is needed and sends muscle commands through an Arduino stack to electrodes on the wrist and fingers.
Electrical muscle stimulation makes the muscles contract on cue, guiding the hand to wave, play a melody, or form an OK sign.
Most consumer AI stops at text, voice, or screen output. This moves a layer deeper, into the body itself, with potential uses in rehabilitation, skills training, and assistive interfaces.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
🤖 🖐️ A six-person team competing at MIT's Hard Mode 2026 hackathon just built a wearable system that lets AI briefly take control of your hand to help you learn or perform actions you cannot do on your own.
The project, called Human Operator, won the Learn Track. A head-mounted camera and voice input feed into Anthropic's Claude API, which decides what motion is needed and sends muscle commands through an Arduino stack to electrodes on the wrist and fingers.
Electrical muscle stimulation makes the muscles contract on cue, guiding the hand to wave, play a melody, or form an OK sign.
Most consumer AI stops at text, voice, or screen output. This moves a layer deeper, into the body itself, with potential uses in rehabilitation, skills training, and assistive interfaces.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
🤖 🖐️ A six-person team competing at MIT's Hard Mode 2026 hackathon just built a wearable system that lets AI briefly take control of your hand to help you learn or perform actions you cannot do on your own.
The project, called Human Operator, won the Learn Track. A head-mounted camera and voice input feed into Anthropic's Claude API, which decides what motion is needed and sends muscle commands through an Arduino stack to electrodes on the wrist and fingers.
Electrical muscle stimulation makes the muscles contract on cue, guiding the hand to wave, play a melody, or form an OK sign.
Most consumer AI stops at text, voice, or screen output. This moves a layer deeper, into the body itself, with potential uses in rehabilitation, skills training, and assistive interfaces.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
🤖 🖐️ A six-person team competing at MIT's Hard Mode 2026 hackathon just built a wearable system that lets AI briefly take control of your hand to help you learn or perform actions you cannot do on your own.
The project, called Human Operator, won the Learn Track. A head-mounted camera and voice input feed into Anthropic's Claude API, which decides what motion is needed and sends muscle commands through an Arduino stack to electrodes on the wrist and fingers.
Electrical muscle stimulation makes the muscles contract on cue, guiding the hand to wave, play a melody, or form an OK sign.
Most consumer AI stops at text, voice, or screen output. This moves a layer deeper, into the body itself, with potential uses in rehabilitation, skills training, and assistive interfaces.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
💸🤖 Most paid research positions in AI quietly require years of prior experience. Anthropic just opened one that does not.
The Anthropic Fellows Program pays $3,850 a week for 4 months of full-time research, plus around $15,000 a month in compute funding and direct mentorship from company researchers.
Candidates need to be fluent in Python and have a strong technical background, but no prior AI research is required.
Fellows are paired with mentors and aim to produce a public output such as a paper. In previous cohorts, 25 to 50% of fellows received a full-time offer at the company.
A few years ago, getting close to frontier AI research required a PhD and years inside a major lab. Now Anthropic is paying people without that background to spend 4 months trying.
Full details and application here: job-boards.greenhouse.io/anthropic/jobs/5023394008
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
💸🤖 Most paid research positions in AI quietly require years of prior experience. Anthropic just opened one that does not.
The Anthropic Fellows Program pays $3,850 a week for 4 months of full-time research, plus around $15,000 a month in compute funding and direct mentorship from company researchers.
Candidates need to be fluent in Python and have a strong technical background, but no prior AI research is required.
Fellows are paired with mentors and aim to produce a public output such as a paper. In previous cohorts, 25 to 50% of fellows received a full-time offer at the company.
A few years ago, getting close to frontier AI research required a PhD and years inside a major lab. Now Anthropic is paying people without that background to spend 4 months trying.
Full details and application here: job-boards.greenhouse.io/anthropic/jobs/5023394008
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
💸🤖 Most paid research positions in AI quietly require years of prior experience. Anthropic just opened one that does not.
The Anthropic Fellows Program pays $3,850 a week for 4 months of full-time research, plus around $15,000 a month in compute funding and direct mentorship from company researchers.
Candidates need to be fluent in Python and have a strong technical background, but no prior AI research is required.
Fellows are paired with mentors and aim to produce a public output such as a paper. In previous cohorts, 25 to 50% of fellows received a full-time offer at the company.
A few years ago, getting close to frontier AI research required a PhD and years inside a major lab. Now Anthropic is paying people without that background to spend 4 months trying.
Full details and application here: job-boards.greenhouse.io/anthropic/jobs/5023394008
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
💸🤖 Most paid research positions in AI quietly require years of prior experience. Anthropic just opened one that does not.
The Anthropic Fellows Program pays $3,850 a week for 4 months of full-time research, plus around $15,000 a month in compute funding and direct mentorship from company researchers.
Candidates need to be fluent in Python and have a strong technical background, but no prior AI research is required.
Fellows are paired with mentors and aim to produce a public output such as a paper. In previous cohorts, 25 to 50% of fellows received a full-time offer at the company.
A few years ago, getting close to frontier AI research required a PhD and years inside a major lab. Now Anthropic is paying people without that background to spend 4 months trying.
Full details and application here: job-boards.greenhouse.io/anthropic/jobs/5023394008
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
🤖👀 A graphic designer just reminded everyone what creating digital art used to look like before AI tools arrived.
Adham Sameh (@TheAdhamSameh), an Egyptian designer known for the elaborate composite artworks he creates for Bleacher Report Football, shared a throwback to a process built on dozens of carefully selected reference photos.
No AI tools, no stock libraries, no shortcuts. Each figure was built piece by piece, with every fold, shadow, and texture matched by hand in Photoshop.
AI image tools now compress that workflow into a single prompt and a few seconds of generation.
The precision and authorship behind manual composite art looks very different from what these systems produce.
His post captures a shift the design world is still adjusting to.
What are your thoughts on this? 🤔💬
🤖👀 A graphic designer just reminded everyone what creating digital art used to look like before AI tools arrived.
Adham Sameh (@TheAdhamSameh), an Egyptian designer known for the elaborate composite artworks he creates for Bleacher Report Football, shared a throwback to a process built on dozens of carefully selected reference photos.
No AI tools, no stock libraries, no shortcuts. Each figure was built piece by piece, with every fold, shadow, and texture matched by hand in Photoshop.
AI image tools now compress that workflow into a single prompt and a few seconds of generation.
The precision and authorship behind manual composite art looks very different from what these systems produce.
His post captures a shift the design world is still adjusting to.
What are your thoughts on this? 🤔💬
🤖🎯 Pigeons kept landing on his balcony, so he built a computer vision turret to deal with them.
The setup pairs a USB camera with a small $100 mini computer. When the camera sees a pigeon, an AI model running on the board tells two small motors where to aim a battery powered water gun, and a simple circuit pulls the trigger.
The clever part is the AI model. It is what is called open vocabulary, so the target is not locked in. You type what you want it to spot and the system tracks that. Pigeons today, anything else tomorrow.
The full build is a mini computer, a camera, two tiny motors, a few electrical components, and a toy water gun.
Everything runs on the device itself with no cloud and no internet required.
A few years ago this would have needed expensive hardware and custom training. Now it runs on a cheap board with a free model pulled off the internet.
What are your thoughts on this? 🤔💬
Source: Muxamilian on Reddit
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
🤖🎯 Pigeons kept landing on his balcony, so he built a computer vision turret to deal with them.
The setup pairs a USB camera with a small $100 mini computer. When the camera sees a pigeon, an AI model running on the board tells two small motors where to aim a battery powered water gun, and a simple circuit pulls the trigger.
The clever part is the AI model. It is what is called open vocabulary, so the target is not locked in. You type what you want it to spot and the system tracks that. Pigeons today, anything else tomorrow.
The full build is a mini computer, a camera, two tiny motors, a few electrical components, and a toy water gun.
Everything runs on the device itself with no cloud and no internet required.
A few years ago this would have needed expensive hardware and custom training. Now it runs on a cheap board with a free model pulled off the internet.
What are your thoughts on this? 🤔💬
Source: Muxamilian on Reddit
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
🤖💰 NVIDIA's market cap just passed $5.7 trillion, putting the chipmaker above the entire GDP of every country on Earth except the United States and China.
The milestone was reached on May 14, 2026, after the stock surged more than 4% to a new intraday record.
For context, Germany, the world's third largest economy, has a nominal GDP near $5.45 trillion in 2026. Japan sits close to $4.46 trillion. NVIDIA is now larger than both.
Comparing market cap to GDP is not a direct comparison. Market cap is the total value of NVIDIA's shares at a single moment, based on future earnings expectations. GDP measures the actual output a country produces in one year.
Different units, but the contrast still shows how much value markets now assign to a single company relative to entire economies.
The driver is the same as it has been for two years.
Demand for AI chips keeps outrunning supply, and hyperscalers continue to commit massive capital to data center buildouts. NVIDIA reported $215.9 billion in revenue in fiscal 2026, up 65% year over year.
NVIDIA produces this valuation with roughly 36,000 employees. Germany's economy runs on a workforce of around 46 million. The contrast shows how concentrated the value of the AI buildout has become inside a small number of companies.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
#ai #artificialintelligence #technology
🤖💰 NVIDIA's market cap just passed $5.7 trillion, putting the chipmaker above the entire GDP of every country on Earth except the United States and China.
The milestone was reached on May 14, 2026, after the stock surged more than 4% to a new intraday record.
For context, Germany, the world's third largest economy, has a nominal GDP near $5.45 trillion in 2026. Japan sits close to $4.46 trillion. NVIDIA is now larger than both.
Comparing market cap to GDP is not a direct comparison. Market cap is the total value of NVIDIA's shares at a single moment, based on future earnings expectations. GDP measures the actual output a country produces in one year.
Different units, but the contrast still shows how much value markets now assign to a single company relative to entire economies.
The driver is the same as it has been for two years.
Demand for AI chips keeps outrunning supply, and hyperscalers continue to commit massive capital to data center buildouts. NVIDIA reported $215.9 billion in revenue in fiscal 2026, up 65% year over year.
NVIDIA produces this valuation with roughly 36,000 employees. Germany's economy runs on a workforce of around 46 million. The contrast shows how concentrated the value of the AI buildout has become inside a small number of companies.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
#ai #artificialintelligence #technology
🤖💰 NVIDIA's market cap just passed $5.7 trillion, putting the chipmaker above the entire GDP of every country on Earth except the United States and China.
The milestone was reached on May 14, 2026, after the stock surged more than 4% to a new intraday record.
For context, Germany, the world's third largest economy, has a nominal GDP near $5.45 trillion in 2026. Japan sits close to $4.46 trillion. NVIDIA is now larger than both.
Comparing market cap to GDP is not a direct comparison. Market cap is the total value of NVIDIA's shares at a single moment, based on future earnings expectations. GDP measures the actual output a country produces in one year.
Different units, but the contrast still shows how much value markets now assign to a single company relative to entire economies.
The driver is the same as it has been for two years.
Demand for AI chips keeps outrunning supply, and hyperscalers continue to commit massive capital to data center buildouts. NVIDIA reported $215.9 billion in revenue in fiscal 2026, up 65% year over year.
NVIDIA produces this valuation with roughly 36,000 employees. Germany's economy runs on a workforce of around 46 million. The contrast shows how concentrated the value of the AI buildout has become inside a small number of companies.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
#ai #artificialintelligence #technology
🤖💰 NVIDIA's market cap just passed $5.7 trillion, putting the chipmaker above the entire GDP of every country on Earth except the United States and China.
The milestone was reached on May 14, 2026, after the stock surged more than 4% to a new intraday record.
For context, Germany, the world's third largest economy, has a nominal GDP near $5.45 trillion in 2026. Japan sits close to $4.46 trillion. NVIDIA is now larger than both.
Comparing market cap to GDP is not a direct comparison. Market cap is the total value of NVIDIA's shares at a single moment, based on future earnings expectations. GDP measures the actual output a country produces in one year.
Different units, but the contrast still shows how much value markets now assign to a single company relative to entire economies.
The driver is the same as it has been for two years.
Demand for AI chips keeps outrunning supply, and hyperscalers continue to commit massive capital to data center buildouts. NVIDIA reported $215.9 billion in revenue in fiscal 2026, up 65% year over year.
NVIDIA produces this valuation with roughly 36,000 employees. Germany's economy runs on a workforce of around 46 million. The contrast shows how concentrated the value of the AI buildout has become inside a small number of companies.
What are your thoughts on this? 🤔💬
—
➡️ If you want to keep up with all the AI news, useful tips, and important developments, join 100k+ subscribers reading our free newsletter
#ai #artificialintelligence #technology
NVIDIA CEO Jensen Huang broke away from President Trump’s schedule and headed straight into one of Beijing’s traditional hutongs to enjoy a bowl of zhajiangmian (noodles with soybean paste) from the famous Fangzhuan workshop.
His spot on the trip to China was not guaranteed. Huang was initially left off the delegation and added at the last minute, joining executives like Tim Cook and Elon Musk. The timing matters because NVIDIA sits at the center of the U.S. and China chip standoff, with its market share in the country dropping from around 95% to nearly 0% under export restrictions.
A high-stakes summit, the CEO of the world's most valuable company, and a bowl of street noodles in the middle of it all.
What are your thoughts on this? 🤔💬
🧹👤 47 data broker listings gone. 12 dead accounts deleted. 3 search results buried. All in one weekend, all with one chatbot.
A user on X going by digital ghost shared how he cleaned years of personal data off the internet using Claude in about 6 hours.
The model drafted formal CCPA opt-out letters for brokers like Spokeo and BeenVerified, wrote GDPR and KVKK deletion requests with proper legal language, mapped the full removal process for old accounts found through justdeleteme.xyz, and ranked breaches http://haveibeenpwned.com/ by risk to decide on password changes, 2FA, or full deletion.
For articles that could not be removed, the strategy shifted to outranking them with new content.
Most of this work used to live with lawyers and developers. Now it lives in a chat window.
What are your thoughts on this? 🤔💬
🧹👤 47 data broker listings gone. 12 dead accounts deleted. 3 search results buried. All in one weekend, all with one chatbot.
A user on X going by digital ghost shared how he cleaned years of personal data off the internet using Claude in about 6 hours.
The model drafted formal CCPA opt-out letters for brokers like Spokeo and BeenVerified, wrote GDPR and KVKK deletion requests with proper legal language, mapped the full removal process for old accounts found through justdeleteme.xyz, and ranked breaches http://haveibeenpwned.com/ by risk to decide on password changes, 2FA, or full deletion.
For articles that could not be removed, the strategy shifted to outranking them with new content.
Most of this work used to live with lawyers and developers. Now it lives in a chat window.
What are your thoughts on this? 🤔💬
🧹👤 47 data broker listings gone. 12 dead accounts deleted. 3 search results buried. All in one weekend, all with one chatbot.
A user on X going by digital ghost shared how he cleaned years of personal data off the internet using Claude in about 6 hours.
The model drafted formal CCPA opt-out letters for brokers like Spokeo and BeenVerified, wrote GDPR and KVKK deletion requests with proper legal language, mapped the full removal process for old accounts found through justdeleteme.xyz, and ranked breaches http://haveibeenpwned.com/ by risk to decide on password changes, 2FA, or full deletion.
For articles that could not be removed, the strategy shifted to outranking them with new content.
Most of this work used to live with lawyers and developers. Now it lives in a chat window.
What are your thoughts on this? 🤔💬
🧹👤 47 data broker listings gone. 12 dead accounts deleted. 3 search results buried. All in one weekend, all with one chatbot.
A user on X going by digital ghost shared how he cleaned years of personal data off the internet using Claude in about 6 hours.
The model drafted formal CCPA opt-out letters for brokers like Spokeo and BeenVerified, wrote GDPR and KVKK deletion requests with proper legal language, mapped the full removal process for old accounts found through justdeleteme.xyz, and ranked breaches http://haveibeenpwned.com/ by risk to decide on password changes, 2FA, or full deletion.
For articles that could not be removed, the strategy shifted to outranking them with new content.
Most of this work used to live with lawyers and developers. Now it lives in a chat window.
What are your thoughts on this? 🤔💬
🧹👤 47 data broker listings gone. 12 dead accounts deleted. 3 search results buried. All in one weekend, all with one chatbot.
A user on X going by digital ghost shared how he cleaned years of personal data off the internet using Claude in about 6 hours.
The model drafted formal CCPA opt-out letters for brokers like Spokeo and BeenVerified, wrote GDPR and KVKK deletion requests with proper legal language, mapped the full removal process for old accounts found through justdeleteme.xyz, and ranked breaches http://haveibeenpwned.com/ by risk to decide on password changes, 2FA, or full deletion.
For articles that could not be removed, the strategy shifted to outranking them with new content.
Most of this work used to live with lawyers and developers. Now it lives in a chat window.
What are your thoughts on this? 🤔💬
🧹👤 47 data broker listings gone. 12 dead accounts deleted. 3 search results buried. All in one weekend, all with one chatbot.
A user on X going by digital ghost shared how he cleaned years of personal data off the internet using Claude in about 6 hours.
The model drafted formal CCPA opt-out letters for brokers like Spokeo and BeenVerified, wrote GDPR and KVKK deletion requests with proper legal language, mapped the full removal process for old accounts found through justdeleteme.xyz, and ranked breaches http://haveibeenpwned.com/ by risk to decide on password changes, 2FA, or full deletion.
For articles that could not be removed, the strategy shifted to outranking them with new content.
Most of this work used to live with lawyers and developers. Now it lives in a chat window.
What are your thoughts on this? 🤔💬
🧹👤 47 data broker listings gone. 12 dead accounts deleted. 3 search results buried. All in one weekend, all with one chatbot.
A user on X going by digital ghost shared how he cleaned years of personal data off the internet using Claude in about 6 hours.
The model drafted formal CCPA opt-out letters for brokers like Spokeo and BeenVerified, wrote GDPR and KVKK deletion requests with proper legal language, mapped the full removal process for old accounts found through justdeleteme.xyz, and ranked breaches http://haveibeenpwned.com/ by risk to decide on password changes, 2FA, or full deletion.
For articles that could not be removed, the strategy shifted to outranking them with new content.
Most of this work used to live with lawyers and developers. Now it lives in a chat window.
What are your thoughts on this? 🤔💬
🧹👤 47 data broker listings gone. 12 dead accounts deleted. 3 search results buried. All in one weekend, all with one chatbot.
A user on X going by digital ghost shared how he cleaned years of personal data off the internet using Claude in about 6 hours.
The model drafted formal CCPA opt-out letters for brokers like Spokeo and BeenVerified, wrote GDPR and KVKK deletion requests with proper legal language, mapped the full removal process for old accounts found through justdeleteme.xyz, and ranked breaches http://haveibeenpwned.com/ by risk to decide on password changes, 2FA, or full deletion.
For articles that could not be removed, the strategy shifted to outranking them with new content.
Most of this work used to live with lawyers and developers. Now it lives in a chat window.
What are your thoughts on this? 🤔💬
🧹👤 47 data broker listings gone. 12 dead accounts deleted. 3 search results buried. All in one weekend, all with one chatbot.
A user on X going by digital ghost shared how he cleaned years of personal data off the internet using Claude in about 6 hours.
The model drafted formal CCPA opt-out letters for brokers like Spokeo and BeenVerified, wrote GDPR and KVKK deletion requests with proper legal language, mapped the full removal process for old accounts found through justdeleteme.xyz, and ranked breaches http://haveibeenpwned.com/ by risk to decide on password changes, 2FA, or full deletion.
For articles that could not be removed, the strategy shifted to outranking them with new content.
Most of this work used to live with lawyers and developers. Now it lives in a chat window.
What are your thoughts on this? 🤔💬
🧹👤 47 data broker listings gone. 12 dead accounts deleted. 3 search results buried. All in one weekend, all with one chatbot.
A user on X going by digital ghost shared how he cleaned years of personal data off the internet using Claude in about 6 hours.
The model drafted formal CCPA opt-out letters for brokers like Spokeo and BeenVerified, wrote GDPR and KVKK deletion requests with proper legal language, mapped the full removal process for old accounts found through justdeleteme.xyz, and ranked breaches http://haveibeenpwned.com/ by risk to decide on password changes, 2FA, or full deletion.
For articles that could not be removed, the strategy shifted to outranking them with new content.
Most of this work used to live with lawyers and developers. Now it lives in a chat window.
What are your thoughts on this? 🤔💬
This man uses AI to put himself into Squid Game and replaces every elimination with a new scene.
Now the scariest thing is a loud "mwah" sound effect followed by a man in a hoodie grabbing your face. @advkiki put himself into every major scene and turned the deadliest game show on television into an involuntary group therapy session.
We've all watched shows wishing someone would just step in. AI is letting creators actually do that now, and the results blend with the original footage way better than they should.
The wildest part is there's no studio, no production team, no VFX house. It's just one creator with AI tools, a hoodie, a tie, and absolutely no respect for the tension Squid Game spent hours building.
🎥: @advkiki
What are your thoughts on this? 🤔💬
Well well well, a viral post on X just turned into one of the sharpest tests of how people actually judge AI art.
On May 12, the account SHL0MS uploaded a real Claude Monet water lily painting and told followers it had been generated by AI, asking users to explain what made it inferior to a genuine Monet.
Hundreds responded with confident critiques, including self-described art critics and verified accounts. One said the water looked like it was on fire. Another called the work emotionless. A third offered a technical breakdown of the tree reflections.
Then the account revealed the image was a real Monet, and a number of the critiques quietly disappeared.
Research published in Scientific Reports has shown the same pattern before, with people rating art lower when it is labeled as AI made, even when they cannot tell it apart from human work.
What are your thoughts on this? 🤔💬
Well well well, a viral post on X just turned into one of the sharpest tests of how people actually judge AI art.
On May 12, the account SHL0MS uploaded a real Claude Monet water lily painting and told followers it had been generated by AI, asking users to explain what made it inferior to a genuine Monet.
Hundreds responded with confident critiques, including self-described art critics and verified accounts. One said the water looked like it was on fire. Another called the work emotionless. A third offered a technical breakdown of the tree reflections.
Then the account revealed the image was a real Monet, and a number of the critiques quietly disappeared.
Research published in Scientific Reports has shown the same pattern before, with people rating art lower when it is labeled as AI made, even when they cannot tell it apart from human work.
What are your thoughts on this? 🤔💬
Well well well, a viral post on X just turned into one of the sharpest tests of how people actually judge AI art.
On May 12, the account SHL0MS uploaded a real Claude Monet water lily painting and told followers it had been generated by AI, asking users to explain what made it inferior to a genuine Monet.
Hundreds responded with confident critiques, including self-described art critics and verified accounts. One said the water looked like it was on fire. Another called the work emotionless. A third offered a technical breakdown of the tree reflections.
Then the account revealed the image was a real Monet, and a number of the critiques quietly disappeared.
Research published in Scientific Reports has shown the same pattern before, with people rating art lower when it is labeled as AI made, even when they cannot tell it apart from human work.
What are your thoughts on this? 🤔💬
Well well well, a viral post on X just turned into one of the sharpest tests of how people actually judge AI art.
On May 12, the account SHL0MS uploaded a real Claude Monet water lily painting and told followers it had been generated by AI, asking users to explain what made it inferior to a genuine Monet.
Hundreds responded with confident critiques, including self-described art critics and verified accounts. One said the water looked like it was on fire. Another called the work emotionless. A third offered a technical breakdown of the tree reflections.
Then the account revealed the image was a real Monet, and a number of the critiques quietly disappeared.
Research published in Scientific Reports has shown the same pattern before, with people rating art lower when it is labeled as AI made, even when they cannot tell it apart from human work.
What are your thoughts on this? 🤔💬
Well well well, a viral post on X just turned into one of the sharpest tests of how people actually judge AI art.
On May 12, the account SHL0MS uploaded a real Claude Monet water lily painting and told followers it had been generated by AI, asking users to explain what made it inferior to a genuine Monet.
Hundreds responded with confident critiques, including self-described art critics and verified accounts. One said the water looked like it was on fire. Another called the work emotionless. A third offered a technical breakdown of the tree reflections.
Then the account revealed the image was a real Monet, and a number of the critiques quietly disappeared.
Research published in Scientific Reports has shown the same pattern before, with people rating art lower when it is labeled as AI made, even when they cannot tell it apart from human work.
What are your thoughts on this? 🤔💬
Well well well, a viral post on X just turned into one of the sharpest tests of how people actually judge AI art.
On May 12, the account SHL0MS uploaded a real Claude Monet water lily painting and told followers it had been generated by AI, asking users to explain what made it inferior to a genuine Monet.
Hundreds responded with confident critiques, including self-described art critics and verified accounts. One said the water looked like it was on fire. Another called the work emotionless. A third offered a technical breakdown of the tree reflections.
Then the account revealed the image was a real Monet, and a number of the critiques quietly disappeared.
Research published in Scientific Reports has shown the same pattern before, with people rating art lower when it is labeled as AI made, even when they cannot tell it apart from human work.
What are your thoughts on this? 🤔💬
Well well well, a viral post on X just turned into one of the sharpest tests of how people actually judge AI art.
On May 12, the account SHL0MS uploaded a real Claude Monet water lily painting and told followers it had been generated by AI, asking users to explain what made it inferior to a genuine Monet.
Hundreds responded with confident critiques, including self-described art critics and verified accounts. One said the water looked like it was on fire. Another called the work emotionless. A third offered a technical breakdown of the tree reflections.
Then the account revealed the image was a real Monet, and a number of the critiques quietly disappeared.
Research published in Scientific Reports has shown the same pattern before, with people rating art lower when it is labeled as AI made, even when they cannot tell it apart from human work.
What are your thoughts on this? 🤔💬
Well well well, a viral post on X just turned into one of the sharpest tests of how people actually judge AI art.
On May 12, the account SHL0MS uploaded a real Claude Monet water lily painting and told followers it had been generated by AI, asking users to explain what made it inferior to a genuine Monet.
Hundreds responded with confident critiques, including self-described art critics and verified accounts. One said the water looked like it was on fire. Another called the work emotionless. A third offered a technical breakdown of the tree reflections.
Then the account revealed the image was a real Monet, and a number of the critiques quietly disappeared.
Research published in Scientific Reports has shown the same pattern before, with people rating art lower when it is labeled as AI made, even when they cannot tell it apart from human work.
What are your thoughts on this? 🤔💬
Well well well, a viral post on X just turned into one of the sharpest tests of how people actually judge AI art.
On May 12, the account SHL0MS uploaded a real Claude Monet water lily painting and told followers it had been generated by AI, asking users to explain what made it inferior to a genuine Monet.
Hundreds responded with confident critiques, including self-described art critics and verified accounts. One said the water looked like it was on fire. Another called the work emotionless. A third offered a technical breakdown of the tree reflections.
Then the account revealed the image was a real Monet, and a number of the critiques quietly disappeared.
Research published in Scientific Reports has shown the same pattern before, with people rating art lower when it is labeled as AI made, even when they cannot tell it apart from human work.
What are your thoughts on this? 🤔💬
Well well well, a viral post on X just turned into one of the sharpest tests of how people actually judge AI art.
On May 12, the account SHL0MS uploaded a real Claude Monet water lily painting and told followers it had been generated by AI, asking users to explain what made it inferior to a genuine Monet.
Hundreds responded with confident critiques, including self-described art critics and verified accounts. One said the water looked like it was on fire. Another called the work emotionless. A third offered a technical breakdown of the tree reflections.
Then the account revealed the image was a real Monet, and a number of the critiques quietly disappeared.
Research published in Scientific Reports has shown the same pattern before, with people rating art lower when it is labeled as AI made, even when they cannot tell it apart from human work.
What are your thoughts on this? 🤔💬
Well well well, a viral post on X just turned into one of the sharpest tests of how people actually judge AI art.
On May 12, the account SHL0MS uploaded a real Claude Monet water lily painting and told followers it had been generated by AI, asking users to explain what made it inferior to a genuine Monet.
Hundreds responded with confident critiques, including self-described art critics and verified accounts. One said the water looked like it was on fire. Another called the work emotionless. A third offered a technical breakdown of the tree reflections.
Then the account revealed the image was a real Monet, and a number of the critiques quietly disappeared.
Research published in Scientific Reports has shown the same pattern before, with people rating art lower when it is labeled as AI made, even when they cannot tell it apart from human work.
What are your thoughts on this? 🤔💬
Well well well, a viral post on X just turned into one of the sharpest tests of how people actually judge AI art.
On May 12, the account SHL0MS uploaded a real Claude Monet water lily painting and told followers it had been generated by AI, asking users to explain what made it inferior to a genuine Monet.
Hundreds responded with confident critiques, including self-described art critics and verified accounts. One said the water looked like it was on fire. Another called the work emotionless. A third offered a technical breakdown of the tree reflections.
Then the account revealed the image was a real Monet, and a number of the critiques quietly disappeared.
Research published in Scientific Reports has shown the same pattern before, with people rating art lower when it is labeled as AI made, even when they cannot tell it apart from human work.
What are your thoughts on this? 🤔💬
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
🦸♂️🤖 A solo creator just built the Superman and Invincible crossover that licensed studios will never make, and it runs as a full cinematic AI film.
The project was made with Seedance 2.0 alongside original editing, sound design, and direction.
Baby Kal-El crashes on Viltrum and grows up under the rule of the conquering super race from Invincible, moving through volcanic wars, cosmic invasions, and mysterious forces from deep space as a weapon of empire rather than a symbol of hope.
A crossover like this used to require a full VFX studio and a serious budget. Now a single creator can build it with a video model and a clear vision.
The interesting AI filmmaking is no longer demos of what a model can render. It is creators telling the stories licensed studios will never make.
What are your thoughts on this? 🤔💬
Source: @multiverse.of.ai67
비밀리에 인스타그램 스토리 보기
인스타그램 스토리 뷰어는 인스타그램 스토리, 비디오, 사진 또는 IGTV를 비밀리에 보고 저장할 수 있는 간단한 도구입니다. 이 서비스를 통해 콘텐츠를 다운로드하고 언제든지 오프라인으로 즐길 수 있습니다. 인스타그램에서 나중에 확인하고 싶은 흥미로운 콘텐츠를 찾거나 익명으로 스토리를 보고 싶다면, 우리 뷰어가 적합합니다. Anonstories는 신원을 숨길 수 있는 훌륭한 솔루션을 제공합니다. 인스타그램은 2023년 8월에 스토리 기능을 출시했으며, 이 기능은 흥미롭고 시간에 민감한 형식으로 빠르게 다른 플랫폼에 채택되었습니다. 스토리는 사용자가 텍스트, 이모지 또는 필터로 보강된 사진, 비디오 또는 셀카를 공유할 수 있게 해주며, 24시간 동안만 표시됩니다. 이 제한된 시간 동안 높은 참여를 유도하며 일반 게시물보다 더 많은 반응을 얻을 수 있습니다. 오늘날 스토리는 소셜 미디어에서 연결하고 소통하는 가장 인기 있는 방법 중 하나입니다. 그러나 스토리를 볼 때, 제작자는 자신의 뷰어 목록에서 당신의 이름을 볼 수 있으며, 이는 개인 정보 보호에 대한 우려를 일으킬 수 있습니다. 만약 스토리를 아무도 모르게 탐색하고 싶다면? 그때 Anonstories가 유용해집니다. 이 도구는 신원을 드러내지 않고 공개된 인스타그램 콘텐츠를 볼 수 있게 해줍니다. 관심 있는 프로필의 사용자명을 입력하면 해당 프로필의 최신 스토리를 확인할 수 있습니다. Anonstories 뷰어의 특징: - 익명 브라우징: 뷰어 목록에 나타나지 않고 스토리를 볼 수 있습니다. - 계정 필요 없음: 인스타그램 계정에 가입하지 않고 공개 콘텐츠를 볼 수 있습니다. - 콘텐츠 다운로드: 스토리 콘텐츠를 직접 다운로드하여 오프라인에서 사용할 수 있습니다. - 하이라이트 보기: 24시간 제한을 넘어서 인스타그램 하이라이트를 볼 수 있습니다. - 리포스트 모니터링: 개인 프로필의 스토리 리포스트나 참여도를 추적할 수 있습니다. 제한 사항: - 이 도구는 공개 계정에서만 작동하며, 개인 계정은 접근할 수 없습니다. 장점: - 개인 정보 보호 친화적: 인스타그램 콘텐츠를 보면서도 눈에 띄지 않습니다. - 간단하고 쉬움: 앱 설치나 등록이 필요 없습니다. - 독점 도구: 인스타그램에서 제공하지 않는 방식으로 콘텐츠를 다운로드하고 관리할 수 있습니다.
Anonstories의 장점
인스타그램 스토리 비공개로 탐색
인스타그램 업데이트를 비밀리에 추적하고 개인 정보를 보호하며 익명으로 남을 수 있습니다.
개인 인스타그램 뷰어
개인 프로필 뷰어를 사용하여 쉽게 프로필과 사진을 익명으로 볼 수 있습니다.
무료 스토리 뷰어
이 무료 도구는 인스타그램 스토리를 익명으로 볼 수 있게 해주며, 스토리 업로더에게 활동을 숨길 수 있습니다.
자주 묻는 질문
익명성
Anonstories는 사용자가 인스타그램 스토리를 볼 때 제작자에게 알림을 보내지 않도록 합니다.
디바이스 호환성
iOS, Android, Windows, macOS, Chrome, Safari와 같은 최신 브라우저에서 원활하게 작동합니다.
안전성 및 개인 정보 보호
로그인 정보 없이 안전하고 익명으로 브라우징할 수 있습니다.
등록 필요 없음
사용자는 간단히 사용자명을 입력하여 공개된 스토리를 볼 수 있습니다. 계정이 필요하지 않습니다.
지원 형식
사진(JPEG)과 비디오(MP4)를 쉽게 다운로드합니다.
비용
이 서비스는 무료로 제공됩니다.
비공개 계정
비공개 계정의 콘텐츠는 팔로워만 접근할 수 있습니다.
파일 사용
파일은 개인적 또는 교육적 용도로만 사용 가능하며 저작권 규정을 준수해야 합니다.
작동 방식
공개된 사용자명을 입력하여 스토리를 보거나 다운로드할 수 있습니다. 서비스는 콘텐츠를 로컬에 저장할 수 있는 직접 링크를 생성합니다.