Geology student mapping the intersection of AI, DeFi, RWA & entrepreneurship. posts are for financial information; not intended for investment advice.

Connect With Me👉🏼
Joined October 2024
Justice for ChatGPT 😂😂
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I'm back 😂💔
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🎬 Builders Video Giveaway! 🔨 Time to put your creativity to work! 🏆 $200 USDC • 4 winners • $50 USDC each Create a video featuring our Builder character. AI-generated videos are welcome, as long as the Builder stays true to his original design. • Videos only. No static images. • Post your video in the replies. • Keep the Builder recognizable and faithful to his original look. • Reposting your entry isn’t required, but it’s welcome. ⏰ Deadline: October 28, 9 PM UTC Show us your best meme videos! 💙
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Vector retweeted
Older generations love saying, “We all struggled in our 20s.” The fuck? No you didn't You didn’t pay $2500 for rent and $9 for eggs. You didn’t graduate with $60K in student debt and $0 job security Gen Z isn’t soft. The economy is crushing them.
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Almost $3M in 24H Volume & 2,700% APR! 📈 The DEEP / USDC pool on Turbos is delivering peak capital efficiency on @SuiNetwork. 🥇 Ranked #1 DEX in 24H trading volume on CMC Put your liquidity to work 👇 shorturl.at/CB0ie
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spent my coffee on the B2B part of the Gotchi Labs whitepaper this morning, the section almost nobody quotes... 5.1.3. if a coach, a meditation service or a wellness brand wants to sell inside the planned Sleepagotchi Market, they stake CHI as a Partner Listing Bond. so sellers carry collateral, not only users. and per 5.4, staked holders vote on marketplace standards and partner criteria. users write the rules, providers post the deposit. I kinda like that split. what I'm watching: the required amount, lock duration and return conditions are all left to "applicable program terms". the doc calls them "potentially returnable" bonds, and I couldn't find a single line on slashing. a bond only protects users if something can actually happen to it. question for @sleepagotchi: if a partner breaks the standards stakers voted on, can part of the bond be cut, and is that decided by a governance proposal or by the team?
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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.
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Poseidon once tried to buy a dataset and was handed back its own. That's the problem Trace is built for. A buyer should be able to check where a file came from and whether anyone else already sold it.
From finding our focus in AI data to the thinking behind joining the Sui stack CEO @devrelius went deeper on DATA's next chapter with @helenebraunn for @CoinDesk ↓
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Poseidon once tried to buy a dataset and was handed back its own. That's the problem Trace is built for. A buyer should be able to check where a file came from and whether anyone else already sold it.
From finding our focus in AI data to the thinking behind joining the Sui stack CEO @devrelius went deeper on DATA's next chapter with @helenebraunn for @CoinDesk ↓
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From finding our focus in AI data to the thinking behind joining the Sui stack CEO @devrelius went deeper on DATA's next chapter with @helenebraunn for @CoinDesk ↓
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The goal in this article is a world where every company can become a data company. The data behind AI should be verified, licensed and paid for, and that is what Trace is built to do.
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The goal in this article is a world where every company can become a data company. The data behind AI should be verified, licensed and paid for, and that is what Trace is built to do.
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Replying to @datafdn
@datafdn could have built its own storage and access rules. It chose to use what @SuiNetwork and @WalrusProtocol already have, so the team can spend its time on Trace and the apps that supply the data.
DATA is coming to Sui. So, what happens next? Read on ↓
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DATA is coming to Sui. So, what happens next? Read on ↓
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Four steps, all on @SuiNetwork . Trace gives the file a receipt, Seal locks it behind a rule, @WalrusProtocol spreads it across many nodes, and Nautilus runs it in a secure space. The money goes back to the person who shared the data.
The lifecycle of data, as told by the DATA protocol → @SuiNetwork.
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Four steps, all on @SuiNetwork . Trace gives the file a receipt, Seal locks it behind a rule, @WalrusProtocol spreads it across many nodes, and Nautilus runs it in a secure space. The money goes back to the person who shared the data.
The lifecycle of data, as told by the DATA protocol → @SuiNetwork.
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The lifecycle of data, as told by the DATA protocol → @SuiNetwork.
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The internet has already been scraped, so the next data has to come from people who agreed to share it. A receipt for every file is what lets a lab show it had permission.
Building Trace at scale means making deliberate choices about where we invest our resources. Joining the Sui stack gives us the infrastructure to grow while keeping our focus on the products and applications driving real adoption. @devrelius on our next chapter ↓
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The internet has already been scraped, so the next data has to come from people who agreed to share it. A receipt for every file is what lets a lab show it had permission.
Building Trace at scale means making deliberate choices about where we invest our resources. Joining the Sui stack gives us the infrastructure to grow while keeping our focus on the products and applications driving real adoption. @devrelius on our next chapter ↓
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Building Trace at scale means making deliberate choices about where we invest our resources. Joining the Sui stack gives us the infrastructure to grow while keeping our focus on the products and applications driving real adoption. @devrelius on our next chapter ↓
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