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jacob

@jacobmtucker

head of dev rel @datafdn // prev founder @emerald_dao // CS @NorthwesternU

Chicago Katılım Şubat 2016
326 Takip Edilen5.4K Takipçiler
Sabitlenmiş Tweet
jacob
jacob@jacobmtucker·
Numo is now live on @datafdn's Trace.
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jacob
jacob@jacobmtucker·
Trace is the public audit platform for AI training data, allowing frontier labs to verify the data they buy @useKled has been contributing millions of records since day 1 Starting today, Numo's data is officially audited as well. Check it out ↴ trace.datafdn.org/audit/numo
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jacob
jacob@jacobmtucker·
People around the world get paid for contributing their voice & video data on numolabs.ai Hundreds of users have already been paid out for participating
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jacob
jacob@jacobmtucker·
Numo is now live on @datafdn's Trace.
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Zeno Rocha
Zeno Rocha@zenorocha·
Today, we're shipping a pretty deep integration with @vercel. Now, you can create/manage your @resend account from: • Vercel Dashboard • Vercel CLI • v0 Account provisioning + billing + DNS configuration are all taken care of.
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Andrea | Devrelius
Andrea | Devrelius@devrelius·
just crossed 15M receipts on Trace! on track to 100x this within a year.
Andrea | Devrelius tweet media
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Avi Patel
Avi Patel@avipat_·
Kled has registered over 15 million file records on the Trace Audit Portal in just a few days. Four multi billion dollar frontier AI labs have already begun using Trace to verify the integrity and provenance of Kled's data before making purchases. This is only the beginning. The Data Foundation will continue expanding the system until every file on Kled is fully auditable on chain. Live here: trace.datafdn.org/audit/kled
Avi Patel tweet media
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jacob
jacob@jacobmtucker·
@avipat_ So cool to see this actually happening 🔥
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DeFi Warhol
DeFi Warhol@Defi_Warhol·
There's a crazy amount of new AI training data registrations on @datafdn's Trace, a new auditing product for AI data. The activity is consistent throughout every day. Btw, this has nothing to do with any airdrop or point activities. I'll dive into why this is happening and get back to you with a proper explanation.
DeFi Warhol tweet media
jacob@jacobmtucker

Watching millions of @useKled data records get registered on Trace

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jacob
jacob@jacobmtucker·
Watching millions of @useKled data records get registered on Trace
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jacob retweetledi
The DATA Foundation
The DATA Foundation@datafdn·
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.
The DATA Foundation tweet media
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Kled AI
Kled AI@useKled·
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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jacob
jacob@jacobmtucker·
@avipat_ So cool to be working alongside you and the entire Kled team 🐐
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Avi Patel
Avi Patel@avipat_·
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.
The DATA Foundation@datafdn

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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Ranjeet
Ranjeet@0xranjeet·
Story Foundation rebrands to @datafdn Congratulations to @devrelius, CEO of the DATA Foundation After 4 years of building, Story Foundation focused on music, art, gaming and creator content but saw the biggest demand in AI training data @psdnai showed that AI companies need verified, high-quality data @datafdn will help AI companies get trusted data and ensure people are paid for their contributions @Data_Ecosystem •- Trace: audit & verification platform •- Poseidon: data processing & quality layer •- Numo, Oto, Miso: human data collection apps proud to be a dev ambassador working with our amazing DevRel lead @jacobmtucker Lfg!
Ranjeet tweet media
The DATA Foundation@datafdn

Today, Story becomes The DATA Foundation. $IP is now $DATA. The Story Network is now DATA Network, tracking 1B+ data records with a singular mission: to become the trust layer for all AI training data. Welcome to The DATA Foundation.

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jacob
jacob@jacobmtucker·
The last 4 years building Story led us to this moment. Today, we're becoming The DATA Foundation and building the trust layer for AI training data. Proud to lead Developer Relations as we bring the world's best developers into the AI data economy. Let's F*CKING go! 🙌
The DATA Foundation@datafdn

Today, Story becomes The DATA Foundation. $IP is now $DATA. The Story Network is now DATA Network, tracking 1B+ data records with a singular mission: to become the trust layer for all AI training data. Welcome to The DATA Foundation.

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