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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
Voir les histoires Instagram en secret
Le visionneur d’histoires Instagram est un outil simple qui vous permet de regarder et de sauvegarder secrètement les histoires Instagram, vidéos, photos ou IGTV. Avec ce service, vous pouvez télécharger du contenu et l’apprécier hors ligne quand vous voulez. Si vous trouvez quelque chose d’intéressant sur Instagram que vous souhaitez vérifier plus tard ou si vous voulez voir des histoires tout en restant anonyme, notre Visionneur est parfait pour vous. Anonstories offre une excellente solution pour garder votre identité cachée. Instagram a lancé la fonctionnalité Stories en août 2023, rapidement adoptée par d’autres plateformes en raison de son format engageant et temporaire. Les histoires permettent aux utilisateurs de partager des mises à jour rapides, qu’il s’agisse de photos, vidéos ou selfies, agrémentés de texte, emojis ou filtres, visibles pendant 24 heures seulement. Cette fenêtre de temps limitée crée un fort engagement par rapport aux publications régulières. Aujourd’hui, les histoires sont l’un des moyens les plus populaires de se connecter et de communiquer sur les réseaux sociaux. Cependant, lorsque vous regardez une histoire, le créateur peut voir votre nom dans leur liste de visionneurs, ce qui peut poser un problème de confidentialité. Et si vous souhaitez naviguer dans les histoires sans être repéré ? C’est là qu’Anonstories devient utile. Il vous permet de regarder du contenu public sur Instagram sans révéler votre identité. Il vous suffit d’entrer le nom d’utilisateur du profil qui vous intéresse, et l’outil affichera ses dernières histoires. Fonctionnalités du visionneur Anonstories : - Navigation anonyme : Regardez des histoires sans apparaître dans la liste des visionneurs. - Aucun compte requis : Regardez du contenu public sans vous inscrire à un compte Instagram. - Téléchargement de contenu : Sauvegardez directement du contenu d’histoires sur votre appareil pour une utilisation hors ligne. - Voir les highlights : Accédez aux Highlights Instagram, même après la période de 24 heures. - Suivi des reposts : Suivez les reposts ou l’engagement sur les histoires des profils personnels. Limitations : - Cet outil fonctionne uniquement avec les comptes publics ; les comptes privés restent inaccessibles. Avantages : - Respect de la vie privée : Regardez n’importe quel contenu Instagram sans être repéré. - Simple et facile : Aucune installation d’application ni inscription requise. - Outils exclusifs : Téléchargez et gérez du contenu de manière que Instagram ne permet pas.
Avantages d’Anonstories
Explorer les histoires IG discrètement
Suivez les mises à jour Instagram en toute discrétion tout en protégeant votre vie privée et en restant anonyme.
Visionneur privé Instagram
Consultez les profils et photos anonymement avec aisance grâce au visionneur de profil privé.
Visionneur d’histoires gratuit
Ce service gratuit vous permet de voir les histoires Instagram anonymement, garantissant que votre activité reste cachée de l’uploader.
Questions fréquemment posées
Anonymat
Anonstories permet aux utilisateurs de voir les histoires Instagram sans alerter le créateur.
Compatibilité des appareils
Fonctionne parfaitement sur iOS, Android, Windows, macOS et les navigateurs modernes comme Chrome et Safari.
Sécurité et confidentialité
Privilégie la navigation sécurisée et anonyme sans nécessiter de coordonnées de connexion.
Pas d’inscription
Les utilisateurs peuvent voir des histoires publiques en entrant simplement un nom d’utilisateur — sans compte requis.
Formats pris en charge
Télécharge les photos (JPEG) et les vidéos (MP4) facilement.
Coût
Le service est gratuit.
Comptes privés
Le contenu des comptes privés n’est accessible qu’aux abonnés.
Utilisation des fichiers
Les fichiers sont destinés à un usage personnel ou éducatif uniquement et doivent respecter les règles de droit d’auteur.
Comment ça marche
Entrez un nom d’utilisateur public pour voir ou télécharger des histoires. Le service génère des liens directs pour sauvegarder le contenu localement.