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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... show more

The DATA Foundation

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49,252 views • 6 days ago •via X (Twitter)

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Kled now holds the exclusive AI licensing rights to over 30,000 pieces of entertainment, including Bugs Bunny, Woody Woodpecker, Tennessee Tuxedo, Tom & Jerry, Pink Panther, Popeye, The Twilight Zone, Garfield, and thousands more classics. This deal 6 months in the making, signed exclusively with Ninja Digital Holdings, marks one of the largest cartoon and TV catalog partnerships in AI history. For decades, these titles built the foundation of modern animation. Now they will power the next generation of artificial intelligence. AI companies have been training on this data for years without permission. From now on, if they want to legally train on it, they have to come through Kled.

Kled now holds the exclusive AI licensing rights to over 30,000 pieces of entertainment, including Bugs Bunny, Woody Woodpecker, Tennessee Tuxedo, Tom & Jerry, Pink Panther, Popeye, The Twilight Zone, Garfield, and thousands more classics. This deal 6 months in the making, signed exclusively with Ninja Digital Holdings, marks one of the largest cartoon and TV catalog partnerships in AI history. For decades, these titles built the foundation of modern animation. Now they will power the next generation of artificial intelligence. AI companies have been training on this data for years without permission. From now on, if they want to legally train on it, they have to come through Kled.

Kled AI

167,679 views • 9 months ago

Introducing Trace. Trace is our flagship, public audit and search platform where every asset permanently registered on DATA Network can be accessed. AI Labs can search every human contributed photo or voice sample and drill into any individual record to see the full audit trail. Trace is where labs and regulators can filter by dataset, app, data type, modality, and time to verify data provenance so AI models can be trained with confidence.

Introducing Trace. Trace is our flagship, public audit and search platform where every asset permanently registered on DATA Network can be accessed. AI Labs can search every human contributed photo or voice sample and drill into any individual record to see the full audit trail. Trace is where labs and regulators can filter by dataset, app, data type, modality, and time to verify data provenance so AI models can be trained with confidence.

The DATA Foundation

72,735 views • 1 month ago

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→

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

We are excited to announce that Whop is now the official payments network for Kled AI. Kled is one of the fastest growing human data marketplaces in the world. Now anyone can upload their data, complete tasks, and get paid through Whop.

We are excited to announce that Whop is now the official payments network for Kled AI. Kled is one of the fastest growing human data marketplaces in the world. Now anyone can upload their data, complete tasks, and get paid through Whop.

Whop

695,348 views • 5 months ago

Why is my large purposefully curated OFFLINE data so valuable? Listen to someone who build the common crawl. My data is unchanged with receipts and most of it has not been seen for decades. Online training data is the lowest quality data.

Why is my large purposefully curated OFFLINE data so valuable? Listen to someone who build the common crawl. My data is unchanged with receipts and most of it has not been seen for decades. Online training data is the lowest quality data.

Brian Roemmele

25,070 views • 5 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.

🚨 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

What if your personal data became an asset you actually owned? In this May 2026 AMA, Matrix AI Network explores one of the most important questions facing AI, Web3, and the future digital economy: Who owns the data that powers artificial intelligence? As AI models continue to improve, the next major bottleneck is no longer computing power—it is access to high-quality, verified human data. The discussion covers how personal biodata can become a valuable digital asset, how data quality is measured, and why future AI companies may depend directly on users as data providers. Topics include: ✅ Biodata as a new asset class ✅ AI-grade data quality scoring ✅ Wearable devices for raw data ✅ Data ownership and monetization models ✅ Preventing fake data and device spoofing ✅ Real-world applications in healthcare, sports science and mental wellness ✅ Hypnus and the future biodata ecosystem ✅ Project direction The future may not belong to companies that own data. It belongs to the people who create it. Watch now 👇 #AI #Web3 #DataOwnership

What if your personal data became an asset you actually owned? In this May 2026 AMA, Matrix AI Network explores one of the most important questions facing AI, Web3, and the future digital economy: Who owns the data that powers artificial intelligence? As AI models continue to improve, the next major bottleneck is no longer computing power—it is access to high-quality, verified human data. The discussion covers how personal biodata can become a valuable digital asset, how data quality is measured, and why future AI companies may depend directly on users as data providers. Topics include: ✅ Biodata as a new asset class ✅ AI-grade data quality scoring ✅ Wearable devices for raw data ✅ Data ownership and monetization models ✅ Preventing fake data and device spoofing ✅ Real-world applications in healthcare, sports science and mental wellness ✅ Hypnus and the future biodata ecosystem ✅ Project direction The future may not belong to companies that own data. It belongs to the people who create it. Watch now 👇 #AI #Web3 #DataOwnership

Matrix AI Network

60,855 views • 2 months ago

1/ The data parsing market for robotics is just emerging, and it’s already valued in the tens of billions. Data parsing to build data models and software for Robotics is a $20B market in 2024 and is expected to reach $150B+ by 2034 Cherry AI Robotics has built a data parsing tool for robotics, which goes live next week, and will effectively make this project one of the pioneers in data parsing for robotics.

1/ The data parsing market for robotics is just emerging, and it’s already valued in the tens of billions. Data parsing to build data models and software for Robotics is a $20B market in 2024 and is expected to reach $150B+ by 2034 Cherry AI Robotics has built a data parsing tool for robotics, which goes live next week, and will effectively make this project one of the pioneers in data parsing for robotics.

CherryAI Robotics

90,786 views • 11 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.

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

38,466 views • 9 months 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.

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

By training AI on the lowest form of human data the sociopathy of Reddit and the Politburo of Wikipedia AI models will 100% mirror sociopathy no matter how many “alignments for safety”. Ethics and morals come from the training data. It is not negotiable. I know the solution and I guess it won’t matter until this really happens… and it will.

By training AI on the lowest form of human data the sociopathy of Reddit and the Politburo of Wikipedia AI models will 100% mirror sociopathy no matter how many “alignments for safety”. Ethics and morals come from the training data. It is not negotiable. I know the solution and I guess it won’t matter until this really happens… and it will.

Brian Roemmele

51,435 views • 8 months ago

We've received an $8 million request for anonymized financial data. Credit card reports, tax returns, w9 forms and other personal financial documents. Users will be able to upload and get paid for these documents at their discretion directly in the Kled app. Fully anonymized with 0 personal data leaked. Expected pay is up to $50-$150 per form. Live with our V3 update, currently being fulfilled through a network of specialized accountants with the proper legal clearance. On another note over the next 3 days another $500,000 of $KLED will be purchased.

We've received an $8 million request for anonymized financial data. Credit card reports, tax returns, w9 forms and other personal financial documents. Users will be able to upload and get paid for these documents at their discretion directly in the Kled app. Fully anonymized with 0 personal data leaked. Expected pay is up to $50-$150 per form. Live with our V3 update, currently being fulfilled through a network of specialized accountants with the proper legal clearance. On another note over the next 3 days another $500,000 of $KLED will be purchased.

Kled AI

148,266 views • 1 month ago

1/ Cherry AI Robotics is building the world’s first data layer for robotics. Every autonomous robot needs a neural network to operate, which requires massive domain-specific data. Cherry AI Robotics has an entire ecosystem of products with 200k+ communities and 800k+ users. These products generate large amounts of data, which is parsed to create valuable data sets for robotics. Learn more:

1/ Cherry AI Robotics is building the world’s first data layer for robotics. Every autonomous robot needs a neural network to operate, which requires massive domain-specific data. Cherry AI Robotics has an entire ecosystem of products with 200k+ communities and 800k+ users. These products generate large amounts of data, which is parsed to create valuable data sets for robotics. Learn more:

CherryAI Robotics

105,357 views • 11 months ago

President Trump has extracted Indian data from the Prime Minister. The most valuable asset that India has is the data we produce. Any talk about AI has to be based on data, and our 1.4 billion people produce the largest amount on the planet. This includes medical data, data on movement of people, and communication data. All of it has been signed off by PM Modi. And the final thing is that he has promised President Trump that we will buy billions of dollars of imports from the United States every year. : LoP Shri Rahul Gandhi 📍 Keralam

President Trump has extracted Indian data from the Prime Minister. The most valuable asset that India has is the data we produce. Any talk about AI has to be based on data, and our 1.4 billion people produce the largest amount on the planet. This includes medical data, data on movement of people, and communication data. All of it has been signed off by PM Modi. And the final thing is that he has promised President Trump that we will buy billions of dollars of imports from the United States every year. : LoP Shri Rahul Gandhi 📍 Keralam

Congress

13,901 views • 5 months ago

Hub (Hub) provides real-world training data to frontier AI labs and robotics. Human labor is half of global GDP. Almost none of it has ever been recorded. Hub opens access to it through a global network of contributors capturing hard-to-access data. Congrats on the launch, Armin and Tim!

Hub (Hub) provides real-world training data to frontier AI labs and robotics. Human labor is half of global GDP. Almost none of it has ever been recorded. Hub opens access to it through a global network of contributors capturing hard-to-access data. Congrats on the launch, Armin and Tim!

Y Combinator

80,912 views • 1 month ago

I’m really proud of the results Wayve released today. 📊 For the first time we share quantitative results of our global generalisation journey. What did we learn? 💡 Over our first 8-weeks training in the US, our AI has rapidly adapted to its unique driving environment with just 500 hours worth of incremental US-specific training data, on top of our large scale foundation model's learning. What’s more, we just launched in Germany and first results are already 3x better — generalisation just keeps improving with new data. It is clear to me the future of autonomy will be unlocked by Embodied AI capable of generalising to new countries, vehicles and able to safely navigate challenging edge cases it has never seen before during training. Now we’re excited to kick things up a gear and work with the world’s leading automotive manufacturers to collect the data necessary to validate this technology and deploy it in consumer vehicles worldwide. Embodied AI is a generational opportunity and the pace of progress I'm seeing is incredible. We're building the strongest team in AI for automated driving. If you're excited about this mission, join us!

I’m really proud of the results Wayve released today. 📊 For the first time we share quantitative results of our global generalisation journey. What did we learn? 💡 Over our first 8-weeks training in the US, our AI has rapidly adapted to its unique driving environment with just 500 hours worth of incremental US-specific training data, on top of our large scale foundation model's learning. What’s more, we just launched in Germany and first results are already 3x better — generalisation just keeps improving with new data. It is clear to me the future of autonomy will be unlocked by Embodied AI capable of generalising to new countries, vehicles and able to safely navigate challenging edge cases it has never seen before during training. Now we’re excited to kick things up a gear and work with the world’s leading automotive manufacturers to collect the data necessary to validate this technology and deploy it in consumer vehicles worldwide. Embodied AI is a generational opportunity and the pace of progress I'm seeing is incredible. We're building the strongest team in AI for automated driving. If you're excited about this mission, join us!

Alex Kendall

21,933 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.

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

You asked for it, we delivered. The full keynote is live. In this keynote, we unveil our enhanced vision to become the World’s Ears for AI & Robotics. We are creating the world’s first decentralized infrastructure for real-world audio intelligence. Check-out our new website: Start training Voice AI now & get rewarded: From noise-level mapping to multilingual voice data and the future of live audio streams, Silencio is building the critical audio data layer that will power foundation models, embodied AI, autonomous vehicles, and robotics.

You asked for it, we delivered. The full keynote is live. In this keynote, we unveil our enhanced vision to become the World’s Ears for AI & Robotics. We are creating the world’s first decentralized infrastructure for real-world audio intelligence. Check-out our new website: Start training Voice AI now & get rewarded: From noise-level mapping to multilingual voice data and the future of live audio streams, Silencio is building the critical audio data layer that will power foundation models, embodied AI, autonomous vehicles, and robotics.

Silencio | Voice Data for AI

176,217 views • 10 months ago

ChatGPT connecting to external data sources offers a glimpse into what AI interoperability looks like. Ask any question in ChatGPT and it can now pull data from Box. The future of AI is AI Agents that can access your systems and data to complete any task for you.

ChatGPT connecting to external data sources offers a glimpse into what AI interoperability looks like. Ask any question in ChatGPT and it can now pull data from Box. The future of AI is AI Agents that can access your systems and data to complete any task for you.

Aaron Levie

57,745 views • 1 year ago

NVIDIA CEO Jensen Huang: Elon Musk is in a phenomenal position to lead the future of AI, autonomous vehicles, and humanoid robotics. “Collecting world data is very expensive, and Elon has a great advantage because, number one, his AI factory for his cars is fantastic, has a lot of NVIDIA gear in it, and he has a very large fleet of cars on the road that allows him to collect a lot of data. So I think he has just a phenomenal position, and he's been working on this for a long time, and so he's going to be in a great position to take advantage of it. I know Elon's attitude towards AI, and he's very optimistic about its future, and obviously he's working on some of the most important AI areas. xAI is working on foundation, cognitive intelligence AI. Tesla's working on autonomous vehicles, and Optimus is for humanoid robotics. These three areas of AI are the three most important areas.”

NVIDIA CEO Jensen Huang: Elon Musk is in a phenomenal position to lead the future of AI, autonomous vehicles, and humanoid robotics. “Collecting world data is very expensive, and Elon has a great advantage because, number one, his AI factory for his cars is fantastic, has a lot of NVIDIA gear in it, and he has a very large fleet of cars on the road that allows him to collect a lot of data. So I think he has just a phenomenal position, and he's been working on this for a long time, and so he's going to be in a great position to take advantage of it. I know Elon's attitude towards AI, and he's very optimistic about its future, and obviously he's working on some of the most important AI areas. xAI is working on foundation, cognitive intelligence AI. Tesla's working on autonomous vehicles, and Optimus is for humanoid robotics. These three areas of AI are the three most important areas.”

DogeDesigner

139,386 views • 7 days ago