Creating with purpose, delivering nothing but value. Building @HumbAfrica
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Joined September 2024
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The video is finally here 💃💃💃
Watching it made me smile, and I believe it will do the same for you.
Tell me what you think, and what topic you would love to see next.
Happy Friday LegendZ
I finally took a step forward. I have always wanted to do this since last year, but I was too shy.
My spirit is willing, but the body is weak.
I once saw a post that said you cannot be shy and broke at the same time.
That line stuck with me.
Yesterday, I finally took the bold step.
Seeing how @zoey_thefirst makes it look easy pushed me, but honestly, it is not as easy as it looks.
Still, we move. This year, we are choosing audacity.
Anticipating the video.
AI development is moving fast, but the systems responsible for tracking the data behind it need to keep up.
Think about what happens before an AI model is trained.
Large volumes of information have to be sourced, organized, and evaluated.
Developers need to understand what their datasets contain, where the material originated, and what conditions apply to its use.
Doing this at scale presents a serious challenge.
When data records are incomplete or difficult to verify, developers can struggle to establish trust in their datasets.
Contributors, meanwhile, may have little insight into what happens to the information they provide.
This is an infrastructure problem, and solving it requires more than simply collecting additional data.
That is the direction DATA Foundation is exploring with its DATA Network and Trace registry.
Trace is designed to create a record of data contributions and their provenance, helping make information about data origins and associated rights easier to inspect.
The next development is the integration of @datafdn Network and Trace into the @SuiNetwork ecosystem.
Sui brings the blockchain infrastructure, while Walrus is set to serve as the default storage layer for DATA Foundation applications.
Each component has a distinct role in the broader approach recording information about data contributions, providing blockchain infrastructure, and supporting decentralized storage.
The goal is to build a stronger foundation for tracking data throughout the AI supply chain.
Of course, records alone cannot guarantee that every dataset has the necessary permissions.
Those permissions still need to be established and respected.
But better infrastructure can make provenance easier to verify and help developers make more informed decisions about the data they use.
As AI continues to evolve, the infrastructure supporting its data economy deserves just as much attention as the models themselves.
#DATAonSuiQuest
DATA is coming to @SuiNetwork.
The DATA Network and Trace are joining the Sui stack, bringing a live supply of rights-cleared AI training data to infrastructure built for AI workloads.
With 250M+ receipts already recorded by Trace, AI labs will be able to source real-world data with verifiable provenance, while @WalrusProtocol provides the underlying storage layer.
Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, founder of the DATA Network and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.
In the coming months:
▸ The DATA Network will be upgraded to run as a protocol natively on Sui
▸ Walrus becomes the default storage layer for DATA Foundation apps
▸ $DATA remains the token of the DATA protocol
The next chapter of DATA starts here.
Giddycham retweeted
Before expansion comes accumulation.
Build the sphere. Store the energy. Then scale. This is the correct order. Most projects skip straight to the hype cycle.
@projectspherexy
is treating the Dyson sphere as infrastructure, not a meme.
Genesis Registry is open: projectsphere.xyz
Season 1 on @rarelistio is live! Join creator campaigns for curated projects and compete for a $50,000 prize pool.
Verifying my account: RL-8BU28L
Giddycham retweeted
ai needs data, but where does that data come from, and who has the right to use it?
@datafdn and @SuiNetwork are working toward a more transparent ai data economy, connecting data provenance, blockchain infrastructure and decentralized storage
a closer look at DATA, Sui, and the future of AI
#DATAonSuiQuest
🤝 Paid partnership
DATA is coming to @SuiNetwork.
The DATA Network and Trace are joining the Sui stack, bringing a live supply of rights-cleared AI training data to infrastructure built for AI workloads.
With 250M+ receipts already recorded by Trace, AI labs will be able to source real-world data with verifiable provenance, while @WalrusProtocol provides the underlying storage layer.
Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, founder of the DATA Network and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.
In the coming months:
▸ The DATA Network will be upgraded to run as a protocol natively on Sui
▸ Walrus becomes the default storage layer for DATA Foundation apps
▸ $DATA remains the token of the DATA protocol
The next chapter of DATA starts here.
Giddycham retweeted
Artificial intelligence is becoming part of everyday life.
From generating images and writing code to powering research and automating complex tasks, AI models continue to expand what technology can do.
But behind every capable model is something fundamental: data.
Human experiences, photographs, voice recordings, specialist knowledge, and other forms of information help AI systems learn patterns and become more useful.
As demand for better training data grows, an important question deserves more attention.
What happens to the rights of the people who provide the data that AI depends on?
Knowing that a dataset exists is not the same as knowing where it originated, whether its contributors authorized its use, or what permissions apply to it
This creates a challenge for both sides of the AI economy.
#DATAonSuiQuest
@SuiNetwork
@datafdn
DATA is coming to @SuiNetwork.
The DATA Network and Trace are joining the Sui stack, bringing a live supply of rights-cleared AI training data to infrastructure built for AI workloads.
With 250M+ receipts already recorded by Trace, AI labs will be able to source real-world data with verifiable provenance, while @WalrusProtocol provides the underlying storage layer.
Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, founder of the DATA Network and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.
In the coming months:
▸ The DATA Network will be upgraded to run as a protocol natively on Sui
▸ Walrus becomes the default storage layer for DATA Foundation apps
▸ $DATA remains the token of the DATA protocol
The next chapter of DATA starts here.
Giddycham retweeted
Giddycham is spot on!
while touching grass, remember your safety matters a lot.
@GetTriggerApp got you covered.
Happy Friday Champions 🏆
while touching grass, remember your safety matters a lot.
@GetTriggerApp got you covered.
Happy Friday Champions 🏆
Giddycham retweeted
A token launch can be open to everyone and still feel unfair
If participants can't clearly understand the rules, verify how allocations work,
how much trust can they really place in the process?
That's the problem @PraxenProtocol is building around
Here's why it matters↓
🤝 Paid partnership
