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The DATA Foundation
4,981 posts
The DATA Foundation
@datafdn
AI-native infrastructure for real-world data.
Joined December 2021
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.
- Trust and safety is the biggest bottleneck in data, congrats to the Kled team, our flagship partner.
- 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
00:00 - The DATA Foundation reposted
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.orgIntroducing 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
00:00 - 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
- The DATA Foundation reposted
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 discussionIntroducing 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 audit00:00 - 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 audit00:001 million live records and counting ↓ trace.datafdn.org
- Replying to @datafdn
- 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
- Scraped internet → today's AI. Rights-cleared data → the next frontier.
- Indonesian spans thousands of islands, cultures, and ways of speaking. Capturing that diversity is exactly what makes speech data valuable. Nuance is the next unlock.
