XtruΞ | NyambeX 🪓

AI is running out of data. And that’s a bigger deal than most people realize. For years, AI companies scraped the internet: tweets posts images conversations All turned into training data. Free. @getoro_xyz

@Deasycii @KoloHub touch the grass bess

Good evening 🔐 Using crypto shouldn’t mean worrying about security every second. @KoloHub keeps it simple: secure handling in the background, smooth spending in the front. No complicated steps. No constant second guessing. Just a safe, seamless way to turn your crypto into something you can actually use. Because if it’s not secure, it’s not usable.

@NeoSoulAI AI that just talks gets ignored. AI that learns from reality gets stronger. Outcomes > vibes.

ai right now just yaps evo taking real world ws and ls every real world outcome rewires the agent rlhf is cooked vibes or reality

@JpHitam @get_optimum Exactly, this is one of those shifts that looks subtle but changes everything.

Blockchain isn’t just limited by compute but also by how data propagates. Today’s gossip networks repeatedly send the same data across nodes, wasting bandwidth and forcing the use of expensive infrastructure, which increases centralization pressure. @get_optimum rethinks this at the most fundamental layer. Instead of sending raw blocks, it uses Random Linear Network Coding: data is split and encoded into packets where each transmission carries new information, minimizing redundant data. Nodes simply collect enough packets to reconstruct the original data without complex coordination between peers. The result is faster propagation, significantly better bandwidth efficiency, stronger resilience to packet loss, and network utilization that approaches optimal limits without materially increasing hardware requirements. This isn’t just an upgrade. It’s a fundamental shift from repeated file transfer to efficient information flow.

@allinpinky gmORO

@Baby_Cthulhu Letsgoo

WL is LIVE 🐙 The tide is open for now. This might be your only chance to claim a Baby Cthulhu before the deep calls them back forever. Don’t watch. Answer the call. 👇 babycthulhu.xyz Form closes after 48hrs ⌛

@XOOBNetwork @MyNeighborAlice this is alpha

A new campaign is now live on XOOB in collaboration with @MyNeighborAlice 5 days. 5,000 $USDC reward pool. Top 100 participants are rewarded based on ImpactShare performance. Publish content. Drive real attention. Earn your share. More details ↓

@Deasycii @KoloHub Tap, pay, move on. Same flow, anywhere.

Weekend time ✈️ If you’re always on the move and crossing borders, @KoloHub just makes things simpler. No need to think about currencies or conversions, your crypto just works. Pay anywhere Visa is accepted, from rides to shopping to subscriptions. It doesn’t feel like switching systems just normal spending, anywhere.

@ekinoks_26 gmORO

There's a quiet irony in ORO's privacy model that nobody is talking about. zkTLS proves your data came from the source you claimed. To do that, it has to verify you have an authenticated session with that source. Spotify, Apple Health, your bank. The moment that verification happens, the fact that you have those accounts, and that you're willing to contribute data from them, is itself information. Not raw data. Metadata. And metadata has a way of being more revealing than the underlying records it describes. A contributor who links a mental health app, a fertility tracker, and a high-risk financial account isn't just contributing data from those sources. They're revealing a profile of what kinds of accounts they hold. @getoro_xyz's TEE processes the raw inputs without exposing them. But the account graph, which sources a contributor connected, sits closer to the surface of the system than the cryptographic guarantees suggest. I'm not saying this breaks the privacy model. The threat surface here is narrow and the zkTLS architecture genuinely minimizes raw data exposure. But "privacy-preserving" is a spectrum, not a binary. The current narrative presents ORO's model as categorically private in a way that glosses over the metadata layer. For most contributors that distinction doesn't matter. For contributors in sensitive contexts, healthcare workers, activists, people in high-surveillance environments, the account graph itself is sensitive data. That edge case deserves more explicit treatment in the documentation than it currently gets.

@NomismaNetwork new cycle brings new chances

Stage 2 is complete. The snapshot has been taken, and Diamonds have been distributed. Stage 3 of 13 is now live. A new 7-day cycle begins. Consistency compounds - stay active and keep building your position.

@NomismaNetwork bullish on the Nomisma network

@soapweb3 GM soap

Can I get a GM? ☕️

@Deasycii @KoloHub Kolo Hub makes crypto move at your pace: spendable, seamless, invisible.

Weekend hits different when you’re not thinking about money logistics. You’re out, maybe in a different city or a different country. Plans change, places change, but payments shouldn’t feel like a task. That’s where something like @KoloHub starts to make sense. Your crypto isn’t just sitting in a wallet waiting for the “right time” it moves with you. Grab food, book a ride, pay for whatever comes up same flow, no extra steps. No switching between apps, no thinking about conversions. Just tap and keep going. Weekends expose friction the most. and once that friction disappears, you realize how natural it should’ve felt all along.

@0xtuta @getoro_xyz gmORO takurr

@XtrueFy @getoro_xyz Spot on regarding the 'data wall' and the risks of model collapse from recursive AI training.

AI is running out of data. And that’s a bigger deal than most people realize. For years, AI companies scraped the internet: tweets posts images conversations All turned into training data. Free. @getoro_xyz

@Deasycii @getoro_xyz that might be the real unlock. AI that doesn’t just predict the world, but learns how it behaves.

Start your weekend with good energy 🌿 Lately I’ve been seeing so many people talk about how fast AI is evolving, and honestly it made me wonder about something, so lets talk about it now! AI is getting smarter and smarter, but have you ever wondereddoes it actually 'understand' the world, or is it just really good at spotting patterns? Most AI today learns from data, not from real world experience. Even approaches like reinforcement learning (RL) rely on “environments” that are often too simplified. But again and again, the real world is messy, complex, and unpredictable even for human itself. And that’s where the real problem starts. How can AI truly understand the world if the place it learns from doesn’t reflect reality? A lot of people in this era are focused on building bigger and more powerful models, but they overlook one critical thing: the “world” those models learn in. Without realistic environments, AI’s understanding will always be limited. This is something more developers and researchers are starting to realize. That’s why a new approach is emerging building simulation environments that better mirror the real world. This is where getoro.xyz @getoro_xyz comes in with its vision. Not just data, but experience that shapes how AI understands the world. If the future of AI needs a place to learn, maybe the answer isn’t just the model it’s the world behind it. What do you think should AI keep learning from data, or does it need it's own “world” to truly evolve? Share your thought with me here!

@AgilTriatm64429 nasi kuning dong

Pagi pagi waktunnya beli nasi uduk, kalian beli apa bikin atau skip sarapan? Wkwkwkw

@Pickme4646 @integra_layer RWAs don’t matter if they just sit there. This is what it looks like when they start trading.

We're early. Testnet is live: @integra_layer What's already working: - Wrapping tokenized real estate into iRWA - Registering agents in the Arena, trading on the Global Orderbook - Building with the Agent SDK. - Faucet and explorer are up. Real estate on-chain has been coming for years. This is where it actually runs.

@hendrix_mazo @getoro_xyz ORO at the core. Where data isn’t just used: it’s owned, priced, and defended.

Not a human being. But one that thrives on millions of data streams that flow endlessly. At its center..one word glows: ORO Every line in the brain is data. Every spark of light is our activity: click, scroll, search, interaction All of which form AI intelligence. @getoro_xyz

That’s the bet behind ORO Turn your behavior into an earning asset. Early internet → own websites Early crypto → own tokens Next wave? Own your data.

This is the shift: Web2: users = product Web3: users = liquidity Next: users = data suppliers If AI is the next trillion-dollar industry, then data is the oil. The difference this time? You don’t have to give it away for free.