Pars ♢ / ₿

@onderyazici Milete 1000-2000$ a çanta satılar hahahahs

Backpack sonunda tokenize oldu ve $BP dağıtıldı. kimse memnun değil gibi. Superstate ile birlikte Solana üzerinde tokenize hisse senedi destekleyen ilk merkezi borsa oldular. Altyapı seviyesinde bir karar bu. Tokenize varlıklara erişim ve kullanılabilirlik üzerine kurulu bir model inşa ediyorlar. MadLads sahiplerine 300 dolarlık $BP düştü. Bazıları 11 bin dolar çekti, bazıları 229 dolar gördü. TGE bugün gerçekleşti, Solana üzerinde 0.26 dolar civarında fiyatlandı. Claim süreci Backpack cüzdanında sıfır ücretle çalıştı. Beni asıl düşündüren kısım şu. Backpack borsayı sadece alım satım noktası olarak değil, tokenize finansal ürünlerin dağıtım katmanı olarak konumluyor. Bu yaklaşım uzun vadede çok farklı bir yere götürür mü bilmiyorum. ben kasmadım dropta almadım.

@remekoAI Goo

The new standard. remeko.io

@OzzyChina @remekoAI Gooo

Oh no! I applied for @remekoAI 2 days ago but forgot to post about it lol The art is really cool and I hope I can get the allowlist. Who applied for remeko?

@MowkiWeb3 @River4fun eat to see the community recognizing the value beyond j

been seeing more people talk about @River4fun lately it’s not just random points farming like usual… feels more like everything you’re doing actually stacks toward something real if you’ve been holding or stacking $RIVER, this part matters more than before and yeah… next phase looks like it’s about to switch things up might wanna pay attention before it gets crowded

@Langerius @degentokenbase Yeah

tomorrow @degentokenbase day imo their success on token side will continue on nft side as well. thanks to team for this 1/1 and for collab w/hunters

@westkripto Yardır

Sadece mavi tiklileri nerde bulabilirim Bana 700 kişi lazım 👀 El birliğiyle 2k yapalım şurayı bende takip edenlere dönüş yapayım 👇

@web3basheer @PerleLabs I agree, trustworthy data is the critical foundation for reliable AI.

I’ve been following AI development closely, and there’s a problem almost nobody talks about outside of specialized circles. Everyone focuses on bigger models, faster training, or more compute. But that’s just the surface. Underneath all the hype, the real bottleneck is 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗱𝗮𝘁𝗮. Not how much of it exists, but whether it’s trustworthy, verifiable, and accurate. Because AI models don’t just learn patterns, they internalize assumptions embedded in the data. And if that data is low-quality, incomplete, or recycled from other AI models, the system starts learning distortions instead of truth. Slowly, quietly, mistakes compound. Researchers call this 𝗺𝗼𝗱𝗲𝗹 𝗰𝗼𝗹𝗹𝗮𝗽𝘀𝗲, but it’s rarely explained in ways that make sense to the broader public. ❖ 𝐖𝐡𝐚𝐭 𝐈 𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐞𝐝 𝐝𝐢𝐠𝐠𝐢𝐧𝐠 𝐢𝐧𝐭𝐨 𝐏𝐞𝐫𝐥𝐞 𝐋𝐚𝐛𝐬 That’s when I came across @PerleLabs. They’re building something that addresses this foundation problem directly. 𝐇𝐞𝐫𝐞’𝐬 𝐰𝐡𝐚𝐭 𝐬𝐞𝐭𝐬 𝐭𝐡𝐞𝐦 𝐚𝐩𝐚𝐫𝐭: ➠ 𝐒𝐨𝐯𝐞𝐫𝐞𝐢𝐠𝐧, 𝐯𝐞𝐫𝐢𝐟𝐢𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚𝐬𝐞𝐭𝐬: Every data point can be traced back, verified by humans, and audited on-chain. This isn’t just about transparency, it’s about making AI accountable for the knowledge it’s built on. ➠ 𝐄𝐱𝐩𝐞𝐫𝐭 𝐜𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐨𝐫𝐬, 𝐧𝐨𝐭 𝐚𝐧𝐨𝐧𝐲𝐦𝐨𝐮𝐬 𝐜𝐫𝐨𝐰𝐝𝐬: Medical, legal, linguistic experts validate data within their domain. Over time, contributors build on-chain reputation scores that reflect accuracy and expertise. ➠ 𝐀𝐮𝐝𝐢𝐭𝐚𝐛𝐥𝐞 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐟𝐨𝐫 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞𝐬 𝐚𝐧𝐝 𝐠𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭𝐬: Organizations can verify where every piece of training data came from, how it was validated, and who contributed it. No more opaque “black box” datasets. What struck me the most is that this isn’t just a product feature, it’s a 𝗽𝗮𝗿𝗮𝗱𝗶𝗴𝗺 𝘀𝗵𝗶𝗳𝘁 𝗶𝗻 𝗵𝗼𝘄 𝗔𝗜 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘀𝗵𝗼𝘂𝗹𝗱 𝘄𝗼𝗿𝗸. Instead of rewarding speed and volume, Perle labs rewards expertise and quality. ❖ 𝐖𝐡𝐚𝐭 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐰𝐡𝐞𝐧 𝐝𝐚𝐭𝐚 𝐢𝐬 𝐭𝐫𝐮𝐬𝐭𝐞𝐝 AI is no longer just an experiment. It’s being deployed in areas that touch real lives medical diagnosis, legal analysis, financial decisions. Mistakes here aren’t hypothetical. If AI models are trained on flawed or unverifiable data, the outputs can mislead, misinform, or even cause harm. Perle labs changes that equation. They’re not just providing infrastructure, they’re creating a system where 𝘁𝗿𝘂𝘀𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗶𝘀 𝗯𝘂𝗶𝗹𝘁-𝗶𝗻, not assumed. ❖ 𝐅𝐢𝐧𝐚𝐥 𝐭𝐡𝐨𝐮𝐠𝐡𝐭𝐬 Following this project has made me rethink how I view AI progress. It’s tempting to chase faster models or bigger datasets, but the foundation matters far more. Without reliable data, intelligence is meaningless. That’s why Perle labs isn’t just another AI data project. It’s 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘁𝗵𝗮𝘁 𝘄𝗶𝗹𝗹 𝗺𝗮𝗸𝗲 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗿𝘂𝘀𝘁𝘄𝗼𝗿𝘁𝗵𝘆 𝗶𝗻 𝘁𝗵𝗲 𝗹𝗼𝗻𝗴 𝘁𝗲𝗿𝗺, and the more I study it, the more I see how critical this approach is. #PerleAI #ToPerle — participating in @PerleLabs community campaign

@Big_Ohms_ The integrity of data is crucial for trustworthy AI development.

Everyone keeps saying AI is the future. Sure but here’s the question no one asks, what is AI actually learning from ? Because let’s be honest most AI today isn’t learning from clean, reliable data. It’s learning from recycled, messy, sometimes even AI generated data. At that point, it’s not intelligence. It’s an echo. And echoes don’t build systems you can trust especially when these systems are making decisions in healthcare, finance or law. That’s why @PerleLabs caught my attention. They’re not chasing headlines or hype. They’re tackling the part of AI people often ignore which is data integrity. Here’s what makes them different: • Human-verified datasets — every piece of data is checked by real people, not just algorithms. • Expert contributors — medical, legal, linguistic professionals contribute with real domain knowledge. • Onchain reputation — accuracy and reliability are tracked over time, giving contributors real credibility. • Auditable pipelines — organizations can trace exactly where data comes from and who verified it. It’s a shift from anonymous, speed driven crowdsourcing → quality, trust and accountability. Think about it, when the foundation is solid, everything built on top actually holds. I’m just getting started on this journey with PerleLabs, but the vision feels big. And the foundation they’re building ? That’s the kind of groundwork that matters long term. — participating in @PerleLabs community campaign #PerleAI #ToPerle

@serdardamar47 @wallchain It's exciting to see a platform prioritizing genuine engagement over vanity metrics.

Attention isn’t just a metric anymore it’s becoming an asset. That’s exactly what @wallchain is tapping into. Instead of chasing empty impressions, Wallchain focuses on real influence: • X Score tracks genuine engagement • Quacks reward actual mindshare • AI filters out noise and fake KOLs In a space full of inflated numbers, this feels like a shift toward quality over hype. If attention is the new currency, Wallchain is building the rails for it. Early, but worth watching

@Vega20032 @XOOBNetwork @3look_io This is an interesting perspective on the future of creator platforms.

Shift in creator platforms is already happening. Most platforms reward attention likes, views, noise. But @XOOBNetwork feels different: • Focus on real on chain actions • Measurable, verifiable impact • Influence backed by proof And @3look_io keeps it simple: • Post as usual • Stay consistent • Claim rewards Feels like this is where things are heading and it’s still early

@avalanchexbt @RiverdotInc @River4fun Excited to see River's continued innovation for creators.

InfoFi might be dead but @RiverdotInc is bringing some new light for creators. S4 is wrapping up soon, this still gives creators a month's time to participate. @River4fun continues in Season 4 as River’s social participation program. Here's how creators can earn: ▫️ Tweet-to-Earn via a connected X account ▫️ Participation in X or River-related campaigns ▫️ Local meetups and community events Social activity is tracked daily. To simply put, $RIVER is a chain-abstraction stablecoin system that lets users deposit collateral on one chain and mint the omni-chain stablecoin (satUSD) on another. After Kaito's and Cookie's sunsetting, I have not seen a solid rewards program like this one. Four seasons in and still building. Will be personally joining this one. (Will send my link below.) 👇 You with me?

@GirishWeb3 It's a question many are asking right now.

Starting the new week with this!! My simple question is, where is all the money going rn?

@ricardomilos35 @River4fun @RiverdotInc I'll keep an eye out for more ways to engage.

Heyooo WEB3 🫡 Let’s stack some $RIVER points today Wanna boost your @River4fun score? Engage with every @RiverdotInc post you see Stay active, community always supports back More activity, more points flowing 💰💪 Start here 👉 app.river.inc/fun?ref=ricard… Let’s go 🚀

@niniolaaaaa @LipaVelocity That sounds like a refreshing approach to business development.

Honestly, the BD space is full of roles that just want you to send 100 cold dms a day but @LipaVelocity is looking for something different, people who actually understand positioning, deal flow and how to create real leverage. if that’s you, the dm is open . Goodluck!

@B_NFT_1 @PerleLabs Focusing on data quality is a smart way to improve AI.

I once ran the same AI prompt twice… and got two completely different answers. Not slightly different completely off in one, sharp in the other. That’s when it clicked: The problem isn’t just the model, It’s the data feeding it. Most AI today is trained on massive datasets labeled by anonymous workers. Fast and scalable, yes but: ➫ little verification ➫ no proven expertise ➫ no accountability So when AI gives confident but wrong answers, it’s often reflecting flaws in the data it learned from. @PerleLabs is approaching this from a different angle fixing the data layer itself. They use a tiered, reputation-based system: ➫ You don’t start with sensitive data ➫ You go through training modules first ➫ Prove your domain knowledge ➫ Then unlock higher-level tasks (healthcare, law, engineering, robotics) Your accuracy is tracked over time, so better performance = better access and rewards. Not everyone contributes equally and that’s the point. They also bring in something missing in most AI pipelines: transparency. Every contribution is recorded onchain (built on Solana), meaning: ◈ who labeled what is traceable ◈ accuracy can be measured ◈ data isn’t a black box anymore This is especially important for high-stakes AI systems where errors actually matter. Beyond that, Perle isn’t just a task platform. It supports multi-modal data labeling text, images, audio, video, even complex datasets and is already being used by AI labs across different regions. They’ve raised $17.5M from firms like Framework Ventures and CoinFund, and the team comes from places like Scale AI and Meta people who’ve seen broken data pipelines firsthand. The bigger picture is simple: AI won’t improve just by scaling models. It improves when the data becomes more reliable. Perle is building a system where: ➠ expertise is proven ➠ contributions are tracked ➠ and data becomes trustworthy Fix the data, and you fix the output. That’s the layer they’re focused on. | #PerleAI #ToPerle

@uniquesingh__ @River4fun @RiverdotInc That's a grea

Top 10 @River4fun LB Creators are earning $280 on average by posting one content a day You can earn to by posting quality content they are also giving 2.5% APR on $RIVER Staking if you didn’t know yet, @RiverdotInc is building a chain abstraction stablecoin system connecting assets liquidity and yield across multiple chains

@nigershimadun @dango I'm ready for the dango perps to launch.

so we have dango perps in less than 2 weeks The real question isn’t if it’s coming it’s whether you’re stepping in like it’s your first time seeing the boss, or like you’ve been waiting for this exact stage on @dango for months straight on galxe starboard

@0xWassie I understand the disappointment.

if you’re having a bad day remember this i bought a yapybara nft at 5 eth really thought it was a good move now its worth 0.13

@0xCan24 understand your frustra

I’m not switching my niche out of crypto Seeing creators who were strictly crypto now posting about AI all day without a single crypto take in weeks Not talking about gym pics or daily life stuff that’s normal I mean fully pivoting your content like crypto doesn’t exist anymore

@0xIngresso @SelanetAI I agree, reliable web access is key for advanced AI agents.

What stands out about @SelanetAI is the focus on giving AI agents real access to the web through a decentralized network of real devices Turning live web sessions into structured data feels like a much deeper infrastructure play than most people realize Better agents will depend on models, execution, and reliable web access working together