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Introducing Kled-FD 0.1, the world's best fraud detection and dataset cleaning pipeline. The first all in one system capable of detecting AI generated content, near duplicates, stolen and plagiarized media, screenshots, manipulated and spliced content, NSFW and explicit material, minors and age sensitive content, sensitive and harmful content, and...

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Avi Patel

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63,564 views • 2 months ago •via X (Twitter)

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Introducing $KLED: the first data marketplace. Thousands of users are already selling their content. Today, we’re extremely excited to launch our Enterprise Portal: AI labs, data companies, and Fortune 500s can now search, preview, and license datasets instantly. Making Kled the only two sided data marketplace on the planet. Our vision is now a reality. Full demo and signup link will be live on our completely revamped site in the next 48-72 hours→
0:50

Introducing $KLED: the first data marketplace. Thousands of users are already selling their content. Today, we’re extremely excited to launch our Enterprise Portal: AI labs, data companies, and Fortune 500s can now search, preview, and license datasets instantly. Making Kled the only two sided data marketplace on the planet. Our vision is now a reality. Full demo and signup link will be live on our completely revamped site in the next 48-72 hours→

Kled AI

1,007,400 views • 1 year ago

The first human data marketplace has just crossed over 1 billion uploads. Tens of thousands of structured and labeled datasets across all human activity. We are on track to do over 5 billion uploads this year, officially cementing our place as the largest opt in human data collection effort in history. This belongs to every person who chose to own their data. Thank you. Download Kled on the app store today.
0:35

The first human data marketplace has just crossed over 1 billion uploads. Tens of thousands of structured and labeled datasets across all human activity. We are on track to do over 5 billion uploads this year, officially cementing our place as the largest opt in human data collection effort in history. This belongs to every person who chose to own their data. Thank you. Download Kled on the app store today.

Kled AI

126,652 views • 3 months ago

The DATA Network has just received clearance to onboard audit receipts for over 500,000 hours of video content spanning 30,000 pieces of entertainment, including Bugs Bunny, Woody Woodpecker, Tennessee Tuxedo, Tom & Jerry, The Pink Panther, Popeye, The Twilight Zone, Garfield, and thousands of other classics. Kled is onboarding this content to Trace so its ownership, provenance, licensing rights, and usage history can be independently verified before it is sold to AI labs. This is the future of the AI data market. The world’s most valuable IP will increasingly require permanent, transparent audit trails before it can be licensed for AI training, and those records will live on the DATA Network.
0:20

The DATA Network has just received clearance to onboard audit receipts for over 500,000 hours of video content spanning 30,000 pieces of entertainment, including Bugs Bunny, Woody Woodpecker, Tennessee Tuxedo, Tom & Jerry, The Pink Panther, Popeye, The Twilight Zone, Garfield, and thousands of other classics. Kled is onboarding this content to Trace so its ownership, provenance, licensing rights, and usage history can be independently verified before it is sold to AI labs. This is the future of the AI data market. The world’s most valuable IP will increasingly require permanent, transparent audit trails before it can be licensed for AI training, and those records will live on the DATA Network.

The DATA Foundation

49,431 views • 8 days ago

As Phoenix AI Growth Points is expected to go live next week – PhoenixONE has leveled up once again in the meantime. Now, with the click of a button (new “Synthesize” feature) create full articles from entire conversations that go beyond in depth, quality, and data-driven rigor than much of the content on major media outlets. Acquire knowledge and insights, share content, and get rewarded in this new system. The more engagement and exposure your content gets, the bigger the reward. Create in-depth content in as little as a few minutes about anything – especially crypto! Phoenix is adding a social element to data-driven generative AI to drive user value and acceleration of growth. $PHB #Phoenix
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As Phoenix AI Growth Points is expected to go live next week – PhoenixONE has leveled up once again in the meantime. Now, with the click of a button (new “Synthesize” feature) create full articles from entire conversations that go beyond in depth, quality, and data-driven rigor than much of the content on major media outlets. Acquire knowledge and insights, share content, and get rewarded in this new system. The more engagement and exposure your content gets, the bigger the reward. Create in-depth content in as little as a few minutes about anything – especially crypto! Phoenix is adding a social element to data-driven generative AI to drive user value and acceleration of growth. $PHB #Phoenix

Phoenix AI Labs

14,390 views • 1 year ago

We’re excited to finally introduce Kled Special Tasks, the final major feature included in the V2 app update. Users will now have access to a fully interactive terminal where they can view and complete domain specific upload tasks directly from enterprise buyers. These tasks can be region locked and person specific. For example, PhD students at Stanford might be prompted to upload their coursework or research materials and get paid for it. Our first domain specific task will focus on homework collection from high school and college students across Europe and the United States. Students will verify their emails and academic credentials directly within the app. We’ve built labeling workflows to ensure all uploaded content meets our criteria, and participants will receive weighted payouts based on the value of their submissions. We’ve already built a network of over 3,800 students from Stanford, MIT, UIUC, Rutgers, and Duke who will be actively onboarded to contribute content. Kled will work hand in hand with our research division, HADES, to justify the large scale purchase of this homework content. Several enterprise buyers have already expressed interest, each confirming that academic data from students represents a growing multi year industry requiring a continuous flow of fresh material. Kled Special Tasks also gives us the ability to internally identify valuable content types, issue calls for specific datasets, and collect 1,000-2,000 unique samples per task. We can then package these datasets into specialized data packs that our sales team will use to pitch directly to AI labs and enterprise clients with matching data needs. This will be one of our most powerful tools for expanding Kled’s buyer network. All of this will be fully available in the V2 update. We’re excited to show just how advanced our segmentation and data validation software has become as we bring this release to market.
0:44

We’re excited to finally introduce Kled Special Tasks, the final major feature included in the V2 app update. Users will now have access to a fully interactive terminal where they can view and complete domain specific upload tasks directly from enterprise buyers. These tasks can be region locked and person specific. For example, PhD students at Stanford might be prompted to upload their coursework or research materials and get paid for it. Our first domain specific task will focus on homework collection from high school and college students across Europe and the United States. Students will verify their emails and academic credentials directly within the app. We’ve built labeling workflows to ensure all uploaded content meets our criteria, and participants will receive weighted payouts based on the value of their submissions. We’ve already built a network of over 3,800 students from Stanford, MIT, UIUC, Rutgers, and Duke who will be actively onboarded to contribute content. Kled will work hand in hand with our research division, HADES, to justify the large scale purchase of this homework content. Several enterprise buyers have already expressed interest, each confirming that academic data from students represents a growing multi year industry requiring a continuous flow of fresh material. Kled Special Tasks also gives us the ability to internally identify valuable content types, issue calls for specific datasets, and collect 1,000-2,000 unique samples per task. We can then package these datasets into specialized data packs that our sales team will use to pitch directly to AI labs and enterprise clients with matching data needs. This will be one of our most powerful tools for expanding Kled’s buyer network. All of this will be fully available in the V2 update. We’re excited to show just how advanced our segmentation and data validation software has become as we bring this release to market.

Kled AI

74,618 views • 9 months ago

Kled Version 3 is coming. Over $20M+ in rewards will be paid directly to users from leading AI labs across robotics, legal services, image and video generation, world modeling, and more. In the last seven days, we’ve received inbound data requests from several decacorn AI labs and enterprises for datasets our human data marketplace is uniquely positioned to provide. Since receiving the specs for these requests, we now have a much better picture and understanding of how to reshape the systems that collect this data, so here’s what’s coming: 1. A fully redesigned home experience: The home feed is being rebuilt to surface the highest-value, most relevant tasks for each user, similar to how Uber Eats surfaces top restaurants. The goal is to turn every user into their most effective version as a data contributor. 2. Automated quality enforcement at scale: New ML systems are being built to evaluate task-specific requirements in real time. For example, if a task requires “two hands visible on camera at all times,” any video that fails that spec will be automatically rejected. This logic will apply across thousands of tasks and specifications using a general ML. 3. Kled Shop: Some tasks require better capture hardware. We’re introducing Kled Shop, where users can redeem points or tokens for equipment like Meta glasses, drones, and other tools. Points and tokens can be converted directly from payouts. 4. Partner-run data labeling and evaluation work: Some of our partners operate high-paying data labeling and model evaluation programs. We’re integrating their workflows directly into Kled so qualified users can access these roles in one place. These jobs are owned and managed by our partners. Kled’s role is to route the right people to the right work. Some opportunities pay $50–$1,000 per hour depending on expertise. 5. Global payouts and localization: We’re partnering with a major payment processor to enable cashouts in users’ native currencies. This unlocks broader global participation. Multi-language support is also coming to accelerate user growth. This full suite of tools will be rolling out soon, directly to Kled users. Top earners are currently making ~$7,000 per month. With this update, we should see the first ~$10,000 per month earner.
0:29

Kled Version 3 is coming. Over $20M+ in rewards will be paid directly to users from leading AI labs across robotics, legal services, image and video generation, world modeling, and more. In the last seven days, we’ve received inbound data requests from several decacorn AI labs and enterprises for datasets our human data marketplace is uniquely positioned to provide. Since receiving the specs for these requests, we now have a much better picture and understanding of how to reshape the systems that collect this data, so here’s what’s coming: 1. A fully redesigned home experience: The home feed is being rebuilt to surface the highest-value, most relevant tasks for each user, similar to how Uber Eats surfaces top restaurants. The goal is to turn every user into their most effective version as a data contributor. 2. Automated quality enforcement at scale: New ML systems are being built to evaluate task-specific requirements in real time. For example, if a task requires “two hands visible on camera at all times,” any video that fails that spec will be automatically rejected. This logic will apply across thousands of tasks and specifications using a general ML. 3. Kled Shop: Some tasks require better capture hardware. We’re introducing Kled Shop, where users can redeem points or tokens for equipment like Meta glasses, drones, and other tools. Points and tokens can be converted directly from payouts. 4. Partner-run data labeling and evaluation work: Some of our partners operate high-paying data labeling and model evaluation programs. We’re integrating their workflows directly into Kled so qualified users can access these roles in one place. These jobs are owned and managed by our partners. Kled’s role is to route the right people to the right work. Some opportunities pay $50–$1,000 per hour depending on expertise. 5. Global payouts and localization: We’re partnering with a major payment processor to enable cashouts in users’ native currencies. This unlocks broader global participation. Multi-language support is also coming to accelerate user growth. This full suite of tools will be rolling out soon, directly to Kled users. Top earners are currently making ~$7,000 per month. With this update, we should see the first ~$10,000 per month earner.

Avi Patel

124,728 views • 6 months ago

We’re thrilled to announce that Kled has signed an exclusive AI licensing agreement with its first government organization, Maryland Public Television (MPT), one of the largest statewide networks in the Public Broadcasting Service (PBS) family. For over 50 years, MPT has been recognized as one of the most decorated regional broadcasters in America, earning 211 Capital Emmy® Awards from the National Academy of Television Arts & Sciences, along with multiple national Emmys and the Board of Governors Award for overall excellence. Under this deal, Kled now holds one of the most versatile TV catalogues across crime, science, nature, and local storytelling. Hundreds of broadcast shows are now converting to high fidelity training data. This is historically one of the first and largest TV publishing deals specifically for AI training. We’re beyond excited to continue to push these boundaries and sign the biggest production networks in the world. This is premium, authorized training data. If labs want to train on it legally, they now come through Kled. This is just the start, more and more government organizations will continue to trust Kled with their data. Welcome to the family MPT.
0:35

We’re thrilled to announce that Kled has signed an exclusive AI licensing agreement with its first government organization, Maryland Public Television (MPT), one of the largest statewide networks in the Public Broadcasting Service (PBS) family. For over 50 years, MPT has been recognized as one of the most decorated regional broadcasters in America, earning 211 Capital Emmy® Awards from the National Academy of Television Arts & Sciences, along with multiple national Emmys and the Board of Governors Award for overall excellence. Under this deal, Kled now holds one of the most versatile TV catalogues across crime, science, nature, and local storytelling. Hundreds of broadcast shows are now converting to high fidelity training data. This is historically one of the first and largest TV publishing deals specifically for AI training. We’re beyond excited to continue to push these boundaries and sign the biggest production networks in the world. This is premium, authorized training data. If labs want to train on it legally, they now come through Kled. This is just the start, more and more government organizations will continue to trust Kled with their data. Welcome to the family MPT.

Kled AI

38,573 views • 9 months ago

We’re launching a coin for a new vertical within the world of intellectual property, focused entirely on AI data licensing. AI companies are spending billions of dollars on data (video, text, sound, etc) to train their models. Kled is the middleman. We partner with top film studios and production houses, label their video content, and sell it to AI companies like OpenAI to help train models like ChatGPT, Sora, Midjourney and more. So far, we've already sold millions of hours of data. Our next drop includes 3 million hours of footage, with deals ranging from $2–5 per minute. We've strategically raised $2 million from investors such as K5 Global, who back Uber, Xai and more, alongside creators like Alex Botez and Panda Boi who stand by our platform and its goals. We're excited to bring this project of ours on chain, where we find that it'll benefit most from the space's interactivity and leaders alike. $KLED is now live on Believe
1:39

We’re launching a coin for a new vertical within the world of intellectual property, focused entirely on AI data licensing. AI companies are spending billions of dollars on data (video, text, sound, etc) to train their models. Kled is the middleman. We partner with top film studios and production houses, label their video content, and sell it to AI companies like OpenAI to help train models like ChatGPT, Sora, Midjourney and more. So far, we've already sold millions of hours of data. Our next drop includes 3 million hours of footage, with deals ranging from $2–5 per minute. We've strategically raised $2 million from investors such as K5 Global, who back Uber, Xai and more, alongside creators like Alex Botez and Panda Boi who stand by our platform and its goals. We're excited to bring this project of ours on chain, where we find that it'll benefit most from the space's interactivity and leaders alike. $KLED is now live on Believe

Avi Patel

476,586 views • 1 year ago

The Best FREE & Unlimited AI Video Generator (No Watermarks) In this video you will learn how to create high quality AI videos using a free and unlimited AI video generator with no watermarks, no credit limits, and no expensive subscriptions. You will learn the exact workflow for creating AI animations, cinematic videos, image to video content, text to video projects, and social media videos using one powerful AI tool. This tutorial covers AI video generation, image to video, text to video, cinematic video creation, and the complete process for producing professional quality AI videos without paying for premium software. This information is for both new and experienced creators who want to create unlimited AI videos, build faceless YouTube channels, and produce professional content for YouTube, TikTok, Instagram, and other social media platforms. Like, Retweet and Bookmark. Follow BIG CHRIS Video Credit: Hoodie Mentor 🤝(
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The Best FREE & Unlimited AI Video Generator (No Watermarks) In this video you will learn how to create high quality AI videos using a free and unlimited AI video generator with no watermarks, no credit limits, and no expensive subscriptions. You will learn the exact workflow for creating AI animations, cinematic videos, image to video content, text to video projects, and social media videos using one powerful AI tool. This tutorial covers AI video generation, image to video, text to video, cinematic video creation, and the complete process for producing professional quality AI videos without paying for premium software. This information is for both new and experienced creators who want to create unlimited AI videos, build faceless YouTube channels, and produce professional content for YouTube, TikTok, Instagram, and other social media platforms. Like, Retweet and Bookmark. Follow BIG CHRIS Video Credit: Hoodie Mentor 🤝(

BIG CHRIS

17,877 views • 1 month ago

⛔ *Urgent SOS call for all social media users and well wishers*⛔ The Draft Broadcasting (Services & Regulation) Bill of 2024 is going to classify all content creators as 'broadcasters' and impose heavy restrictions on the kind of content they can put out on social media. Since the publishing of the first draft in 2023, the government has had *0 consultative meetings with content creators*, the main STAKEHOLDERS in this scenario. The government has been very ambiguous and secretive about the provisions and details of the bill and how they will affect content creators. This is a call for all concerned citizens of the nation to understand *what is at stake here* - the freedom of speech and expression which is guaranteed to us in the Constitution. We demand a more transparent consultative process in the drafting and discussion of this bill. *Support our campaign against the secretive and undemocratic tactics of the government!* Share this video widely! #ContentBachao #StopTheBroadcastBill #RevengeBill
2:17

⛔ *Urgent SOS call for all social media users and well wishers*⛔ The Draft Broadcasting (Services & Regulation) Bill of 2024 is going to classify all content creators as 'broadcasters' and impose heavy restrictions on the kind of content they can put out on social media. Since the publishing of the first draft in 2023, the government has had *0 consultative meetings with content creators*, the main STAKEHOLDERS in this scenario. The government has been very ambiguous and secretive about the provisions and details of the bill and how they will affect content creators. This is a call for all concerned citizens of the nation to understand *what is at stake here* - the freedom of speech and expression which is guaranteed to us in the Constitution. We demand a more transparent consultative process in the drafting and discussion of this bill. *Support our campaign against the secretive and undemocratic tactics of the government!* Share this video widely! #ContentBachao #StopTheBroadcastBill #RevengeBill

Dr.Medusa

190,538 views • 2 years ago

Dupe has just made a $550,000 investment into $KLED, and are partnering up to enrich hundreds of millions of commerce data points. Dupe is one of the fastest-growing shopping networks on the internet. Approaching $100 million in GMV this year and on track to 5× that within the next 12 months. Over the last four months, Kled has expanded beyond data collection to full scale data enrichment/labeling, building enterprise infrastructure that turns raw data into structured, insight-rich training sets for next-generation AI. Unlike traditional shopping platforms, Dupe is platform-agnostic, it sees shopping behavior across the entire internet. This gives rise to a massive opportunity: to understand not just what users buy, but why they buy. Through Kled’s enrichment layer, we’re mapping shopping journeys in granular detail: – Identifying product discovery patterns – Understanding brand affinities – Measuring historical price sensitivity and intent – Predicting cross-category purchase paths Dupe will use this enriched dataset to power shopping LLMs capable of anticipating needs, personalizing recommendations, and reducing friction from discovery to checkout. In the coming months, Kled and Dupe will continue deepening this collaboration as we use this data to enhance their user experience. We’re excited to push past our limits and create the perfect labeling infrastructure for this data. Kled will continue to compete with not only the data collection giants but also the data enrichment unicorns that are worth billions of dollars.
0:23

Dupe has just made a $550,000 investment into $KLED, and are partnering up to enrich hundreds of millions of commerce data points. Dupe is one of the fastest-growing shopping networks on the internet. Approaching $100 million in GMV this year and on track to 5× that within the next 12 months. Over the last four months, Kled has expanded beyond data collection to full scale data enrichment/labeling, building enterprise infrastructure that turns raw data into structured, insight-rich training sets for next-generation AI. Unlike traditional shopping platforms, Dupe is platform-agnostic, it sees shopping behavior across the entire internet. This gives rise to a massive opportunity: to understand not just what users buy, but why they buy. Through Kled’s enrichment layer, we’re mapping shopping journeys in granular detail: – Identifying product discovery patterns – Understanding brand affinities – Measuring historical price sensitivity and intent – Predicting cross-category purchase paths Dupe will use this enriched dataset to power shopping LLMs capable of anticipating needs, personalizing recommendations, and reducing friction from discovery to checkout. In the coming months, Kled and Dupe will continue deepening this collaboration as we use this data to enhance their user experience. We’re excited to push past our limits and create the perfect labeling infrastructure for this data. Kled will continue to compete with not only the data collection giants but also the data enrichment unicorns that are worth billions of dollars.

Kled AI

80,171 views • 10 months ago

Introducing Kled Labeling, the next major update of the Kled app. For the first time, everyday people can earn real income from AI’s fastest growing sector: data labeling. Users now have the ability to label content in the most intuitive way possible from the hottest Silicon Valley startups, with millions of dollars allocated in rewards. So whether you're on your couch watching TV, at the dinner table, in bed, anywhere you can earn just with the tap of a button. We’re not hiring VAs. We’re not outsourcing overseas. We’re building a collective of users to outpace the billion dollar giants like Mercor, Scale AI, Surge, and more. This is the first public application that lets anyone earn by labeling data. Every American and global citizen will become the network.
0:36

Introducing Kled Labeling, the next major update of the Kled app. For the first time, everyday people can earn real income from AI’s fastest growing sector: data labeling. Users now have the ability to label content in the most intuitive way possible from the hottest Silicon Valley startups, with millions of dollars allocated in rewards. So whether you're on your couch watching TV, at the dinner table, in bed, anywhere you can earn just with the tap of a button. We’re not hiring VAs. We’re not outsourcing overseas. We’re building a collective of users to outpace the billion dollar giants like Mercor, Scale AI, Surge, and more. This is the first public application that lets anyone earn by labeling data. Every American and global citizen will become the network.

Kled AI

58,884 views • 9 months ago

The changes in the Algo and what Elon is truly trying to do - here is the full breakdown. A couple of Quick Points: - It all represents a really significant shift in what we’re about to see in our feed and the overall experience on X. - The shift from reply guy tactics to authenticity is where it’s all headed. - The value of a post will not be defined by engagement in its entirety but by the native value of the content. Current State: - Content visibility, including posts and replies, is currently unevenly prioritized, with manually written heuristics favoring recommendations to followers, benefitting large accounts but limiting the reach of smaller ones. - The "For You" algo heavily relies on these heuristics - impacting content reach and potentially hindering smaller accounts, regardless of content quality. Proposed Changes: - Algo defined value assignment to content will be driven by End-to-End Architecture based AI. - User-specific vectors, representing preferences, will guide content prioritization, providing a refreshed user experience within the feed that is inclusive and personalized. - The new approach will promote quality content across the entire user base, irrespective of account size. Additional Insights: - Elon emphasizes that AI will play a pivotal role in content importance assignment, suggesting a departure from the current manually-driven processes. - The algo will differentiate between content from accounts users follow (non-AI recommended) and those they don't (AI recommended), which should significantly improve the diversity of the content we’re exposed to. Implications: The proposed changes signify a fundamental transformation in how content is presented and recommended, with a move towards a more democratic and AI-driven system. Smaller accounts may benefit from increased visibility, creating a more level playing field based on content quality rather than follower count. Theories: - The mention of AI-differentiated recommendations for followed and non-followed content suggests a strategic effort to broaden user exposure to diverse content. - The shift towards an AI-powered recommendation system indicates a commitment to enhancing user experience by tailoring content suggestions based on individual preferences. What we’re looking at is a change that finally addresses the FOMO dynamic between accounts with reach and truly compelling content. It will be a major chance for new accounts, small accounts, and anyone really - to advance into the greater ecosphere they were left out of before. Goodbye, reply guy. Hello, value adding content. These conclusions are based on the recent interview of Elon Musk by Lex Fridman.
1:48

The changes in the Algo and what Elon is truly trying to do - here is the full breakdown. A couple of Quick Points: - It all represents a really significant shift in what we’re about to see in our feed and the overall experience on X. - The shift from reply guy tactics to authenticity is where it’s all headed. - The value of a post will not be defined by engagement in its entirety but by the native value of the content. Current State: - Content visibility, including posts and replies, is currently unevenly prioritized, with manually written heuristics favoring recommendations to followers, benefitting large accounts but limiting the reach of smaller ones. - The "For You" algo heavily relies on these heuristics - impacting content reach and potentially hindering smaller accounts, regardless of content quality. Proposed Changes: - Algo defined value assignment to content will be driven by End-to-End Architecture based AI. - User-specific vectors, representing preferences, will guide content prioritization, providing a refreshed user experience within the feed that is inclusive and personalized. - The new approach will promote quality content across the entire user base, irrespective of account size. Additional Insights: - Elon emphasizes that AI will play a pivotal role in content importance assignment, suggesting a departure from the current manually-driven processes. - The algo will differentiate between content from accounts users follow (non-AI recommended) and those they don't (AI recommended), which should significantly improve the diversity of the content we’re exposed to. Implications: The proposed changes signify a fundamental transformation in how content is presented and recommended, with a move towards a more democratic and AI-driven system. Smaller accounts may benefit from increased visibility, creating a more level playing field based on content quality rather than follower count. Theories: - The mention of AI-differentiated recommendations for followed and non-followed content suggests a strategic effort to broaden user exposure to diverse content. - The shift towards an AI-powered recommendation system indicates a commitment to enhancing user experience by tailoring content suggestions based on individual preferences. What we’re looking at is a change that finally addresses the FOMO dynamic between accounts with reach and truly compelling content. It will be a major chance for new accounts, small accounts, and anyone really - to advance into the greater ecosphere they were left out of before. Goodbye, reply guy. Hello, value adding content. These conclusions are based on the recent interview of Elon Musk by Lex Fridman.

Adrian Dittmann

313,553 views • 2 years ago

🎬🔥 We built ARTEKI to do one thing: prove that AI can produce professional content across every format the entertainment industry runs on. Powered by Unreal Engine 5, Motion Capture, and Artificial Intelligence. ▪️ Animation ▪️ Feature Films ▪️ Documentaries ▪️ Music Videos ▪️ Commercials ▪️ Sports Content ▪️ Architectural Visualization ▪️ AI Artists with their own identity and sound Every frame you see was produced through our pipeline. One studio. One technology stack. Dozens of content verticals, all running through the same system. The traditional model fragments production across hundreds of vendors, burns through years of timelines, and costs hundreds of millions. We consolidated everything under one roof and let AI do what it does best: scale quality without scaling cost. What you are watching is what we are already doing. From cinematic live-action and CGI to stylized animation, music videos, architecture, and sports content — this is Arteki Studio 🎥
1:44

🎬🔥 We built ARTEKI to do one thing: prove that AI can produce professional content across every format the entertainment industry runs on. Powered by Unreal Engine 5, Motion Capture, and Artificial Intelligence. ▪️ Animation ▪️ Feature Films ▪️ Documentaries ▪️ Music Videos ▪️ Commercials ▪️ Sports Content ▪️ Architectural Visualization ▪️ AI Artists with their own identity and sound Every frame you see was produced through our pipeline. One studio. One technology stack. Dozens of content verticals, all running through the same system. The traditional model fragments production across hundreds of vendors, burns through years of timelines, and costs hundreds of millions. We consolidated everything under one roof and let AI do what it does best: scale quality without scaling cost. What you are watching is what we are already doing. From cinematic live-action and CGI to stylized animation, music videos, architecture, and sports content — this is Arteki Studio 🎥

Arteki Studio

19,026 views • 3 months ago

Has A.I. Harmed You? President Trump just signed the first federal law targeting deepfake abuse and unauthorized explicit content. The “Take It Down Act” makes it a crime to share fake or real intimate images without someone’s consent—punishable by up to 3 years in prison. Platforms that refuse to remove this content when asked can also be held liable. Trump called it “a very abusive situation” and said the law is meant to stop what’s become a growing crisis. Is this the first real step toward protecting people in the age of AI?
1:47

Has A.I. Harmed You? President Trump just signed the first federal law targeting deepfake abuse and unauthorized explicit content. The “Take It Down Act” makes it a crime to share fake or real intimate images without someone’s consent—punishable by up to 3 years in prison. Platforms that refuse to remove this content when asked can also be held liable. Trump called it “a very abusive situation” and said the law is meant to stop what’s become a growing crisis. Is this the first real step toward protecting people in the age of AI?

One America News

18,088 views • 1 year ago

Introducing Stanley: The first AI Head of Content that will help you grow your following. Stanley works just like a real employee: text him and he’ll create, edit, and strategize viral content across X, LinkedIn, and Instagram. Making viral content is hard. It requires deep research, deep platform understanding, and knowing what’s culturally relevant at that exact minute. When you ask ChatGPT to “write a social post” it doesn’t know what good content looks like, it’s not actively consuming content, and it doesn’t understand you. This is why the output is slop. Stanley solves this. First Stanley deeply understands your unique voice and writing style (and doesn’t include AI language like em dashes and “it’s not x it’s y”) Then he plugs into your day-to-day (your Slack, Notion, Calendar, Granola) and proactively suggests viral posts for you based off the most interesting things happening in your life. All you need to do is voice note him your thoughts, and Stanley optimizes and then schedules a post across all platforms. Example: Last week I asked ChatGPT "what happened on X" and got a generic summary. I asked Stanley the same thing and he told me about Jensen Huang's first post on X and the viral Deny’s comment. That’s because Stanley has a team of specialized agents that are always on. One agent researches viral posts through the X API. One studies your voice. One doom scrolls X, LinkedIn, and Instagram. 2 months ago we released Stanley in beta to 100 social media power users like @chasepassiveincome, Jay Yang, Mitchell, and Pascio who’ve used Stanley in their daily content process. Engagement rates increased by >50% for the average beta tester. (in fact you’ve probably engaged w/ Stanley posts without realizing) Posting content has genuinely changed my life for the better: it’s helped me raise millions of $, landed me my first customers, and attracted the very best employees. Stan wouldn’t be a $40M ARR business without Content. Stanley is our attempt at democratizing that. Our mission is to help any Entrepreneur tell their story, so we'd love for you to try Stanley for free here: One more thing.. You can see a glimpse of Stanley’s power in the comments below. Drop a reply and Stanley will analyze your X content right now. It'll pull your posts, study your voice, and tell you what's working and what's not. Each reply costs us abt ~$1 in tokens. Go abuse it. (Thank you VC’s.) FYI: This post and launch video were written 100% w/ the help of Stanley (how’d he do?) See Stanley work below 👇
2:16

Introducing Stanley: The first AI Head of Content that will help you grow your following. Stanley works just like a real employee: text him and he’ll create, edit, and strategize viral content across X, LinkedIn, and Instagram. Making viral content is hard. It requires deep research, deep platform understanding, and knowing what’s culturally relevant at that exact minute. When you ask ChatGPT to “write a social post” it doesn’t know what good content looks like, it’s not actively consuming content, and it doesn’t understand you. This is why the output is slop. Stanley solves this. First Stanley deeply understands your unique voice and writing style (and doesn’t include AI language like em dashes and “it’s not x it’s y”) Then he plugs into your day-to-day (your Slack, Notion, Calendar, Granola) and proactively suggests viral posts for you based off the most interesting things happening in your life. All you need to do is voice note him your thoughts, and Stanley optimizes and then schedules a post across all platforms. Example: Last week I asked ChatGPT "what happened on X" and got a generic summary. I asked Stanley the same thing and he told me about Jensen Huang's first post on X and the viral Deny’s comment. That’s because Stanley has a team of specialized agents that are always on. One agent researches viral posts through the X API. One studies your voice. One doom scrolls X, LinkedIn, and Instagram. 2 months ago we released Stanley in beta to 100 social media power users like @chasepassiveincome, Jay Yang, Mitchell, and Pascio who’ve used Stanley in their daily content process. Engagement rates increased by >50% for the average beta tester. (in fact you’ve probably engaged w/ Stanley posts without realizing) Posting content has genuinely changed my life for the better: it’s helped me raise millions of $, landed me my first customers, and attracted the very best employees. Stan wouldn’t be a $40M ARR business without Content. Stanley is our attempt at democratizing that. Our mission is to help any Entrepreneur tell their story, so we'd love for you to try Stanley for free here: One more thing.. You can see a glimpse of Stanley’s power in the comments below. Drop a reply and Stanley will analyze your X content right now. It'll pull your posts, study your voice, and tell you what's working and what's not. Each reply costs us abt ~$1 in tokens. Go abuse it. (Thank you VC’s.) FYI: This post and launch video were written 100% w/ the help of Stanley (how’d he do?) See Stanley work below 👇

John Hu

2,062,436 views • 11 days ago

our biggest focus for the next 2 months at kled is trust & safety. so we built a fully public audit trail for every single upload on the app, updates automatically the second it's made. the moment we send data to an AI lab, they can search the hash ID of any image, video, doc, or audio file and see exactly: - the tos + privacy policy the user signed - every compliance check we ran - anonymized kyc proof - confirmation the user got paid - a full timestamp of the entire interaction start to finish any ai lab can now verify the legitimacy of any dataset in seconds, making us the first data marketplace in history to publicize its data audit records. consumer identities are fully anonymized and hidden, no users will be exposed in the process.
0:49

our biggest focus for the next 2 months at kled is trust & safety. so we built a fully public audit trail for every single upload on the app, updates automatically the second it's made. the moment we send data to an AI lab, they can search the hash ID of any image, video, doc, or audio file and see exactly: - the tos + privacy policy the user signed - every compliance check we ran - anonymized kyc proof - confirmation the user got paid - a full timestamp of the entire interaction start to finish any ai lab can now verify the legitimacy of any dataset in seconds, making us the first data marketplace in history to publicize its data audit records. consumer identities are fully anonymized and hidden, no users will be exposed in the process.

Avi Patel

44,231 views • 3 months ago

BIG ‼️ Steve Hilton announces he has drafted his first Executive Order for Day 1 of he wins the California Governor Race He says Day 1 Gavin Newsom will be under investigation for all the money that’s gone missing and lost to fraud lThis is establishing a California taxpayer fraud strike force. This will make sure that we investigate and prosecute the billions and billions and billions of dollars of fraud, theft of taxpayer money that has occurred over the last few years, including investigating Gavin Newsom” But it doesn’t stop there, these people will also be under investigation - Rob Bonta: Current Attorney General - Malia Cohen: Current State Controller Here’s 5 of the worst examples of stolen money in California - $32.6 billion in California EDD unemployment fraud during the pandemic - $24+ billion spent on homelessness programs with little results and horrible tracking - $146 billion estimated lost to Medi-Cal fraud and improper payments - $50 million homelessness funding fraud scheme in Los Angeles - $23 million stolen by a South LA nonprofit executive from homeless services funds
1:06

BIG ‼️ Steve Hilton announces he has drafted his first Executive Order for Day 1 of he wins the California Governor Race He says Day 1 Gavin Newsom will be under investigation for all the money that’s gone missing and lost to fraud lThis is establishing a California taxpayer fraud strike force. This will make sure that we investigate and prosecute the billions and billions and billions of dollars of fraud, theft of taxpayer money that has occurred over the last few years, including investigating Gavin Newsom” But it doesn’t stop there, these people will also be under investigation - Rob Bonta: Current Attorney General - Malia Cohen: Current State Controller Here’s 5 of the worst examples of stolen money in California - $32.6 billion in California EDD unemployment fraud during the pandemic - $24+ billion spent on homelessness programs with little results and horrible tracking - $146 billion estimated lost to Medi-Cal fraud and improper payments - $50 million homelessness funding fraud scheme in Los Angeles - $23 million stolen by a South LA nonprofit executive from homeless services funds

Wall Street Apes

324,254 views • 2 months ago

🚨 Introducing Hash Network - World's Provenance Chain. Misinformation is at an all-time high. AI-generated content, deepfakes, and manipulated media make it impossible to tell what’s real. This crisis of authenticity undermines our ability to rely on the information we consume, leaving us questioning the integrity of everything from images and videos to news we consume. This has given rise to critical questions: How can we trust what we see? Who created this piece of content? How was it modified? The answer lies in provenance, it is the ability to trace the origin, history, and modifications of any content. Simply put, provenance provides the much needed transparency to verify authenticity and understand the steps taken to reach a content’s current state. However, the way provenance is currently stored presents a critical issue. Currently, provenance data is written into the metadata of the content itself. This approach leaves it vulnerable to being erased or tampered with. To truly address the issue, provenance must be tamper-proof, transparent, and universally accessible. This is where Hash Network comes in. Building on C2PA standards and leveraging Content Authenticity Initiative tools, Hash Network provides a tamper-proof layer for content authenticity. By embedding every action whether it’s a content edit or a transformation on-chain, Hash Network ensures that provenance is not just traceable but also tamper proof. It is built as a Layer 3 Arbitrum orbit chain that settles on Base . This infrastructure ensures that the provenance data is protected from tampering and remains accessible, creating a global provenance chain.
1:13

🚨 Introducing Hash Network - World's Provenance Chain. Misinformation is at an all-time high. AI-generated content, deepfakes, and manipulated media make it impossible to tell what’s real. This crisis of authenticity undermines our ability to rely on the information we consume, leaving us questioning the integrity of everything from images and videos to news we consume. This has given rise to critical questions: How can we trust what we see? Who created this piece of content? How was it modified? The answer lies in provenance, it is the ability to trace the origin, history, and modifications of any content. Simply put, provenance provides the much needed transparency to verify authenticity and understand the steps taken to reach a content’s current state. However, the way provenance is currently stored presents a critical issue. Currently, provenance data is written into the metadata of the content itself. This approach leaves it vulnerable to being erased or tampered with. To truly address the issue, provenance must be tamper-proof, transparent, and universally accessible. This is where Hash Network comes in. Building on C2PA standards and leveraging Content Authenticity Initiative tools, Hash Network provides a tamper-proof layer for content authenticity. By embedding every action whether it’s a content edit or a transformation on-chain, Hash Network ensures that provenance is not just traceable but also tamper proof. It is built as a Layer 3 Arbitrum orbit chain that settles on Base . This infrastructure ensures that the provenance data is protected from tampering and remains accessible, creating a global provenance chain.

Hash Network

45,150 views • 1 year ago