AI-native infrastructure for real-world data.
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Toss is among South Korea's most-used apps.
With over 30M users, one of Asia's largest fintech platforms is opening a new on-ramp into the AI data economy.
Powered by @psdnai.
decrypt.co/372179/toss-bring…
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The DATA Foundation retweeted
Andy asks why Story rebranded to The DATA Foundation.
“It’s not really a pivot away from IP.”
“Ever since we launched Story, we’ve always considered data to be a form of IP.”
“Not all forms of IP are best suited for permissionless licensing.”
“The most valuable IP in the world is the least likely to want to open up for anyone to use permissionlessly.”
“We saw this massive demand around data and training data, and also how opaque it was.”
“Having transparency, provenance, and attribution around who contributed what data for what dataset is very important.”
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A new chapter begins.
Join us to discuss the vision behind The DATA Foundation and why the future of AI starts with better data.
▸ @Devrelius, CEO of The DATA Foundation
▸ @avipat_, CEO of @useKled
Moderated by @jacobmtucker. See you there.
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Trust and safety is the biggest bottleneck in data, congrats to the Kled team, our flagship partner.
Kled has just signed a $12 million non-exclusive data deal over the next 2 years making the marketplace officially profitable.
We’re now heavily expanding our team to bring Kled to android, support every global currency / payment method, increase our daily uploads and registrations on Trace by 2x in 1 month, and roll out our next fraud detection model for better data quality.
We want the best engineers in the world. All open careers can be found here: kled.ai
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Korea's biggest fintech giant @toss__official is bringing its 30M users into the AI data economy with @psdnai, as Toss's first-ever AI/web3 partnership.
Big News.
Korea's biggest fintech giant @toss__official is bringing its 30M users into the AI data economy with @psdnai, in its first ever AI/web3 partnership.
We'll begin working to integrate our contributor app Numo as a mini-app inside Toss, so anyone can provide real-world data to train AI and get paid for it ↓
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The DATA Foundation retweeted
每家 AI 实验室都在问同一个问题：这批数据从哪里来？
Trace 来了。
DATA Network 的公开审计层，正式上线。搜索任意数据集、钻取任意记录、查看完整审计链路——让数据来源不再是黑盒。
不是盲目信任，而是有迹可循。
➡️ trace.datafdn.org
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.
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Starting today, Kled runs on DATA.
The world's largest opt-in human-data marketplace with over 1B records is now fully auditable.
Kled’s founder, Avi Patel (@avipat_), joins us with a single mission: make all AI training data auditable by default.
Kled the leading human data marketplace has officially partnered with The DATA Foundation to onboard over 1.5 billion user records on chain.
We've spent the last 3 months working directly with some of the leading foundation models and labs. The single biggest point of discussion was trust. Labs have 0 room for error and consumer data is the single largest but also most sensitive data type on the planet.
Labs need two things before confidently purchasing a dataset.
1. A clean audit record: end-to-end receipts, consent forms, and proof of payment. They need to fully trust that data uploaded on the marketplace can confidently be licensed without consumers introducing risk into training pipelines.
2. Full confidence that the data on our marketplace is original. Not pirated, not AI generated. They need to fully trust that data uploaded is real human unaltered content that can significantly enhance a training pipeline.
We've been hugely against 99% of all blockchain offerings that have come our way, but things aligned way too well here and we found a unique opportunity to build something great.
Kled will be moving its full audit rails onto DATA Network, backed by a16z crypto, Polychain, and other top VCs.
The instant a user uploads data to our platform we create an anonymized receipt that is automatically sent to the TRACE (demo video, live links, and more in the post below). The content hash ID, signed consent forms, full payment record, and end-to-end timestamps.
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.
To add to this Kled will also be supporting USDC payouts on DATA Network. This will be alongside other stablecoin options rolling out with our existing fiat payouts. All of this will be fully auditable on DATA Network as well.
Lastly Kled and The DATA Foundation will be pooling its efforts to create the world’s best fraud detection protocol. We will be allocating the majority of our time/resources towards creating this, labs need to trust our data and the creation of AGI will be a function of this trust.
I'm also joining The DATA Foundation with a Part Time Advisor Role as the Chief Data Officer, where I’ll be advising the foundation team to make sure the Trace audit product reflects what AI labs actually need to license data with confidence.
The DATA Foundation's audit / licensing rails and Kled's data marketplace are complimentary in nature, labs need both. Kled is the largest contributor to that audit layer so we have the most skin in the game to get this product right.
Every effort described here will create a safer future for consumers and labs. We are here to set the gold standard for trust and nothing will stray us away from this goal. Onward.
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Kled the leading human data marketplace has officially partnered with The DATA Foundation to onboard over 1.5 billion user records on chain.
We've spent the last 3 months working directly with some of the leading foundation models and labs. The single biggest point of discussion was trust. Labs have 0 room for error and consumer data is the single largest but also most sensitive data type on the planet.
Labs need two things before confidently purchasing a dataset.
1. A clean audit record: end-to-end receipts, consent forms, and proof of payment. They need to fully trust that data uploaded on the marketplace can confidently be licensed without consumers introducing risk into training pipelines.
2. Full confidence that the data on our marketplace is original. Not pirated, not AI generated. They need to fully trust that data uploaded is real human unaltered content that can significantly enhance a training pipeline.
We've been hugely against 99% of all blockchain offerings that have come our way, but things aligned way too well here and we found a unique opportunity to build something great.
Kled will be moving its full audit rails onto DATA Network, backed by a16z crypto, Polychain, and other top VCs.
The instant a user uploads data to our platform we create an anonymized receipt that is automatically sent to the TRACE (demo video, live links, and more in the post below). The content hash ID, signed consent forms, full payment record, and end-to-end timestamps.
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.
To add to this Kled will also be supporting USDC payouts on DATA Network. This will be alongside other stablecoin options rolling out with our existing fiat payouts. All of this will be fully auditable on DATA Network as well.
Lastly Kled and The DATA Foundation will be pooling its efforts to create the world’s best fraud detection protocol. We will be allocating the majority of our time/resources towards creating this, labs need to trust our data and the creation of AGI will be a function of this trust.
I'm also joining The DATA Foundation with a Part Time Advisor Role as the Chief Data Officer, where I’ll be advising the foundation team to make sure the Trace audit product reflects what AI labs actually need to license data with confidence.
The DATA Foundation's audit / licensing rails and Kled's data marketplace are complimentary in nature, labs need both. Kled is the largest contributor to that audit layer so we have the most skin in the game to get this product right.
Every effort described here will create a safer future for consumers and labs. We are here to set the gold standard for trust and nothing will stray us away from this goal. Onward.
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.
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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.
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1 million live records and counting ↓
trace.datafdn.org
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Voice data is the hardest to make verifiable.
It holds identity, and traceability has to persist through downstream training.
@otodotearth + @psdnai address the missing layer: verifiable consent, with licensing and receipts onchain.
Data stays private, proof goes public.
The bottleneck in AI moved from architecture to data.
Voice is the clearest proof. The new speech-to-speech models can finally hold a real conversation but they need a kind of data that barely exists in the wild.
Today we're partnering with @otodotearth and @StoryProtocol to fix that. ↓
nitter.app/psdnai/status/20698144…
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The way we recognize contributors is evolving.
Today, recognition is mostly tied to OG promotions, but we're building a system that recognizes contributions more consistently.
Here's an early look. Let us know what you think ↴
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An early look at the new system:
•- Ever felt like your contributions deserved recognition, but not quite a role ascension? This is built around that gap.
•- Instead of the three-tiered OG roles, it moves toward a single, continuously growing status with no ceiling on how high it can go.
•- New contributors may receive early recognition for their high quality efforts, and some power users may end up receiving repeated recognition through their consistent efforts.
Let's hear your thoughts and suggestions!
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