Rk Tapos Roy

@GoKiteAI @theallinpod Really great, we are building

Jensen Huang just shared a massive insight on @theallinpod predicting a 1000000x scale up in AI. His logic is brilliant. Moving from simple chatbots to autonomous agents takes 10000x more compute. And because people gladly pay for actual work rather than just text generation the market consumption will grow 100x. But there is a hidden bottleneck in this vision that few are talking about. If agents are doing the actual work they will become the primary consumers of compute data and external APIs. How do they pay for these resources? You cannot attach a traditional credit card to a machine executing thousands of micro tasks per second. The legacy financial system will simply break under the weight of massive machine to machine microtransactions. To truly unlock Jensen's million fold expansion AI needs its own native economic layer. Agents must be able to route intents and settle costs autonomously in real time. This is the exact infrastructure we are building at Kite AI. The future of work is agentic and the Agent Economy requires entirely new financial rails. 🪁

@Midsweet_ Hey, it's your time bro! Let's go

Under 200 verified followers Say hi 👋 Let's follow you ..

@bmsquantum Let's grow together

@aminurbrozx Community Voice Campaign is underway

Perle Labs is bringing adventure and community together in one experience Explorer 2026 focuses on discovering Bandarban with real people and creating genuine connections Its a trip where friendships grow and memories form through shared moments. At the same time the #ToPerle Community Voice Campaign is underway Everyones voice idea and story has a chance to be heard Exploring and sharing come together to build something meaningful The dates are set now its your chance to join in take part in the @PerleLabs community campaign Join @PerleLabsSubmit DM @aminurbrozx if you want to be part of it #PerleLabs #PerleAI #ToPerle #Explorer2026

@tanviriqbal0 Perle at a time when most Web3 projects felt like the same recycled playbook

A message to the Perle team. I don't usually write things like this. But you asked. And honestly you've earned it. --- I found Perle at a time when most Web3 projects felt like the same recycled playbook. Hype. Token. Dump. Repeat. Perle felt different from the first day I started paying attention. Not because of the funding numbers or the backing. But because the problem you're solving is real. AI is eating the world. And nobody was asking who fed it. --- I spent 40 days writing about what you're building. I made 40 post about perle lab already. One post at a time. Every angle I could find. The more I wrote, the more I understood and the more I understood, the more I believed. Human knowledge as infrastructure. On-chain accountability. Data that doesn't disappear after the model is trained. These aren't marketing lines. This is the thing AI actually needs to work responsibly at scale. --- And my vision for what this becomes? A world where every AI system deployed in a hospital, a courtroom, a factory can answer one simple question. "Who verified this data?" Not with a policy document. Not with a press release. With cryptographic proof. With an on-chain record. With a name attached to every judgment that shaped what the model learned. That's not a dream. That's what Perle is building right now. And I want to be part of that story. --- -Season 1 just closed. -Perle Foundation just launched. -TGE loading. And I just want to say to everyone on the team who showed up every day and built this quietly while the rest of the space chased noise Thank you. To every moderator who answered questions at 2am. To every team member who kept building when the market was down, when timelines slipped, when the noise got loud. Keep building. We're watching. We're with you. i am — participating in @PerleLabs community campaign --- *#PerleAI #ToPerle*

@beloyaltbh10 Oh bro great content, gperle

There's a question nobody in AI is asking loudly enough! Who actually verified the data that trained the model making decisions for you? Not who collected it, Not who uploaded it, Who verified it, Who stood behind it,Who put their name on it. The answer, in most cases, is nobody. That's not a small problem. That's the foundation of modern AI  and it's cracked. I've watched this space for a while. I've seen the promises. Human in the loop, Quality at scale, Responsible AI. Most of it is marketing wrapped around the same broken system centralized pipelines, anonymous labor, unauditable outputs. Then I found @PerleLabs And something shifted. Not because of the pitch. Not because of the $17.5M raise, or the Scale AI and Meta pedigree behind the team. Those things matter  but they're not what made me believe. What made me believe was the architecture of accountability. Every annotation logged onchain. Every contributor building a verifiable reputation. Every task tied to real consequences  not just a paycheck, but a permanent record of quality. A system where doing good work means something beyond this week's reward. Ahmed Rashad and the team didn't just build a platform. They built a new contract between human intelligence and machine learning  one where the humans actually matter. That's what sovereign AI data means to me. It's not a feature. It's not a selling point. It's the difference between AI that was assembled and AI that was earned. @PerleLabs is building the infrastructure layer that the entire industry needs but hasn't had the courage to build  because it's hard. Because it requires trusting people, paying them fairly, and being transparent about every step. That's not the easy path, That's the right one. To Ahmed Rashad, Arthur Ding  and the entire Perle team You're building quietly. No noise for the sake of noise, No hype that outruns the product. Just execution, week after week, with a community that keeps showing up because they actually believe in what's being built. I'm one of those people. I'm here because this matters. Because the AI systems shaping healthcare, law, education, and finance deserve better than anonymous, unverifiable training data. Because the humans contributing that data deserve better than invisibility. @PerleLabs is the answer I didn't know I was waiting for. Keep building, We're watching, We're contributing,  We're here. This one's for you. 🤍 #PerleAI #ToPerle - Participating in @PerleLabs community campaign.

@aliorbz @PerleLabs keeps quality and accountability intact

Do you know that most of today's data lives inside closed systems? Platforms unusually just collect it, control it, and finally decide who gets access... 🙄 But while exploring @PerleLabs, I started imagining about a different model, what if data networks worked more like public goods? Sounds interesting right? Instead of being locked away, data could be... → shared → verified, and → accessible while still respecting ownership and contribution. Not just open for the sake of it, but structured in a way that keeps quality and accountability intact. That kind of system would change who gets to build AI, who benefits from it, and who gets rewarded for the data behind it. It's a simple shift in idea, but it leads to a very different kind of ecosystem ✨ what do you think? and with this first content I'm — participating in @PerleLabs community campaign. #PerleAI #ToPerle

@web3_ash @PerleLabs Great opportunity for all , Perle labs on fire

𝐈𝐟 𝐏𝐞𝐫𝐥𝐞 𝐈𝐬 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 - 𝐇𝐞𝐫𝐞’𝐬 𝐖𝐡𝐚𝐭 𝐭𝐡𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐑𝐞𝐚𝐥𝐥𝐲 𝐓𝐡𝐢𝐧𝐤𝐬 There are moments when a project stops being just “another name” and starts becoming something people genuinely believe in. For @PerleLabs, this feels like one of those moments. Let’s talk about it properly - 𝑨 𝒎𝒆𝒔𝒔𝒂𝒈𝒆 𝒕𝒐 𝒕𝒉𝒆 𝒕𝒆𝒂𝒎 The vision is strong. The direction is clear.But what matters most now is consistency. Keep building, keep communicating, and most importantly - keep the community close. • Transparency builds trust faster than hype • Clear updates remove doubt and FUD • Listening to users turns them into long-term supporters The foundation is already there. Now it’s about execution. 𝑾𝒉𝒂𝒕 𝒔𝒐𝒗𝒆𝒓𝒆𝒊𝒈𝒏 𝑨𝑰 𝒅𝒂𝒕𝒂 𝒓𝒆𝒂𝒍𝒍𝒚 𝒎𝒆𝒂𝒏𝒔 This is where things get deeper. Sovereign AI data is not just a technical idea - it’s about ownership. It means users control their data instead of giving it away to centralized platforms. 𝑾𝒉𝒚 𝒅𝒐𝒆𝒔 𝒕𝒉𝒊𝒔 𝒎𝒂𝒕𝒕𝒆𝒓? • Users own and decide how their data is used • AI systems become more fair and less biased • Value generated from data can go back to the people • Privacy is protected without sacrificing innovation If done right, this is a shift in how AI and data economies work. Not controlled by a few - but shaped by many. 𝑻𝒉𝒆 𝒎𝒐𝒎𝒆𝒏𝒕 𝒃𝒆𝒍𝒊𝒆𝒇 𝒔𝒕𝒂𝒓𝒕𝒔 Every strong community has a point where things “click.” For many, that moment comes when the vision starts matching the actions. When updates are not just promises When systems start taking real shape When the team shows they are here for the long run That’s when belief builds. Not from words - but from progress. 𝑾𝒉𝒚 𝒕𝒉𝒊𝒔 𝒂𝒍𝒍 𝒎𝒂𝒕𝒕𝒆𝒓𝒔 PerleLabs is not just building a product. It’s trying to build a system where: • Community has a real voice • Data has real ownership • Growth is shared, not extracted • Long-term value matters more than short-term hype That’s a bigger mission than most realize. And if executed properly, it won’t just attract users - it will build believers. This is the stage where projects either fade…or turn into something much bigger.Perle is getting closer to that line. #PerleAI #ToPerle - participating in PerleLabs community campaign

@Sabitbroo It's good campaign for the community gperle on fire

PerleLabs TGE is comming soon, Lots off things happening now,most of the people are not eligible, But mods are saying, team is working on it, i hope it will be fix soon.. but there is another opportunity...and thats Community Creator program. Full Detail : $55K prize pool 400+ winners How to join..? Post anything creative on X text, meme, thread, image, video any format goes! Include both hashtags: #PerleAI #ToPerle community campaign. Add this exact line: Participating in @PerleLabsSubmit your entry here: forms.gle/59CDQHKB6AAm5R… Rewards breakdown: Top 50 → $350 each Top 150 → $200 each Top 400 → $50 each + share of bonus pool Deadline: March 27, 23:59 UTC don't sleep on this... #PerleAI #ToPerle Participating in @PerleLabs

@0xxahid @PerleLabs Gperle , it's data structured for the with real quality

Most of today’s data lives inside closed systems. Platforms collect it Control it And decide who gets access ! But while exploring @PerleLabs I started thinking… what if data worked like a public good? Instead of being locked away, it could be > shared > verified > accessible While still respecting ownership and contribution Not just open for the sake of it But structured with real quality and accountability. That kind of shift changes everything. Who gets to build AI Who benefits from it And who gets rewarded for the data behind it Simple idea Very different outcome ✨ #PerleAI #ToPerle — participating in @PerleLabs community campaign

@IzukuVibe @PerleLabs Perle is different looks on top

gPerle @PerleLabs is trying to build the trust layer for human input in AI. Their role is to make human contribution: -verified through onboarding and assessments -measurable through performance tracking -rewarded fairly through quality-based incentives -traceable through onchain provenance -useful for enterprises through auditable data workflows So in this topic, Perle is not the side character. It is the actual example of what a trust layer could look like in practice. #PerleAI #ToPerle Participating in @PerleLab

@himuK0105 @PerleLabs Perle labs for the community

Perle Labs in nutshell 😂 . #PerleAI #ToPerle — participating in @PerleLabs community campaign

@luffyzorousof20 @PerleLabs Gperle it's look good visualization

@PerleLabs: A New Perspective Instead of viewing PerleLabs as just another Web3 project it helps to look at it from a broader perspective. The platform is trying to solve one of the biggest problems in today’s digital world: trustworthy data for AI systems. Here’s the concept broken down step by step. ________________________________ ● The Real Problem: Unreliable Data: Most AI systems today rely on massive datasets collected from the internet. But much of this data is unverified biased or inaccurate. When AI models learn from flawed information the results become unreliable. Perle Labs recognizes that solving the data quality problem is just as important as improving AI models themselves. ● Human Verification as the Core Layer: Rather than relying only on automated systems Perle Labs introduces a model where humans verify and refine data. Contributors help review and validate information ensuring that the datasets used for AI training are accurate and meaningful. ● On Chain Reputation System: One of the unique aspects of PerleLabs is that contributor reputation can be recorded on chain. This creates a transparent record of who contributed high quality work. Over time reliable contributors gain stronger reputations within the ecosystem. ● Creating a Data Contribution Economy: Instead of platforms extracting value from user generated data Perle Labs aims to reward the people who actually help improve the data. Contributors become active participants in building valuable AI datasets rather than invisible workers. ● Building Trustworthy AI Infrastructure: By combining human verification, transparent reputation and decentralized systems Perle Labs is building something deeper than a platform. It is creating infrastructure for trusted AI data, which could become essential as AI continues to expand into every industry. #PerleAI #ToPerle Participating in @PerleLabs campaign

@hasinur1995 @PerleLabs Community makes us hay gperle

Eid-Ul Fitr coming soon.. Early Eid greetings to everyone Eat, smile and don't think that the weight will go away diet from tomorrow! 😁 Eid Mubarak 🩷 I feel very bad that I'm not eligible for @PerleLabs Testnet 🫤 But I was very happy when I saw that they brought the Creator program. I will try my best and hope everyone will support me #PerleAI #ToPerle 🎯Below is a Short Brief Description of #PerleLab (PLR) token 🔺Most people don't realize that the biggest threat to AI isn't hackers. It's the data itself. When models train on synthetic content generated by other models, quality degrades in a loop researchers call model collapse. 🔻Now imagine that happening inside an autonomous vehicle or a hospital system. That's not a chatbot glitch that's a body count. @PerleLabs is building the data layer that actually prevents this. Every dataset is human verified expert validated and auditable on chain. ✔️Governments and enterprises get full visibility into where their training data comes from, which is something no black-box pipeline can offer today. ✔️The $PRL token ties it all together Contributors earn by submitting and validating data. ✔️Token holders get governance rights and priority access. Team and investor vesting mirrors community schedules so nobody's dumping while you're building. — participating in @PerleLabs community campaign @xlordiot

@RIFAT5666 @PerleLabs It's really amazing good to go

𝗜𝘁'𝘀 𝗮𝗺𝗮𝘇𝗶𝗻𝗴 𝘁𝗼 𝘁𝗵𝗶𝗻𝗸 𝘁𝗵𝗮𝘁 𝘁𝗵𝗲 𝗺𝗼𝗿𝗲 𝘄𝗲 𝘁𝗿𝘂𝘀𝘁 𝗔𝗜 𝗲𝘃𝗲𝗿𝘆 𝗱𝗮𝘆, 𝘁𝗵𝗲 𝗹𝗲𝘀𝘀 𝗰𝗹𝗲𝗮𝗿 𝗶𝘁 𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗯𝗲𝗵𝗶𝗻𝗱 𝗶𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗰𝗼𝗺𝗲𝘀 𝗳𝗿𝗼𝗺. 𝗧𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝗲𝗿𝗲 𝗮 𝗯𝗶𝗴 𝗴𝗮𝗽 𝗿𝗲𝗺𝗮𝗶𝗻𝘀. Nowadays, AI doesn't just answer questions; it's used everywhere, in healthcare, robotics, real-world decision-making. But if the data itself is weak or ambiguous, then the results are likely to be wrong. @PerleLabs is working on the root of this problem. They are involving people who really understand the subject matter, real experts. In addition, the entire journey of the data is tracked, so that everything can be verified later. 𝗧𝗵𝗲 𝗴𝗼𝗮𝗹 𝗵𝗲𝗿𝗲 𝗶𝘀 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝘁𝗼 𝘄𝗼𝗿𝗸 𝗾𝘂𝗶𝗰𝗸𝗹𝘆: rather, quality and long-term reputation are important. As a result, data is no longer random, it has a clear source. Decisions no longer have to be made blindly they can be traced back if you want. This seems like a much more honest way to build AI. Because ultimately, to trust AI, you have to trust the data behind it first. participating in @PerleLabs community campaign #PerleAl #ToPerle

@shahed05miazee @PerleLabs Perle labs doing the things that on fire

I’ve been thinking about @PerleLabs, and honestly… it feels like you’re building where most people don’t even look. Everyone’s chasing models. Better outputs. Faster systems. But the part that actually decides whether any of that is reliable? > the data where it comes from who verified it whether it can be trusted And that’s exactly where you chose to focus. That’s what you’re getting right. Because no matter how good a model gets, > it reflects what it learns from If the data is weak, everything built on top carries that quietly. That’s why this direction matters more than it looks. You’re not chasing hype you’re fixing the layer everything depends on. But here’s what I keep thinking about… As you grow, this is where it gets difficult. More users more data more pressure to scale faster And that’s when things usually start to shift. > not suddenly > in small compromises a bit less verification a bit more automation a few shortcuts that feel harmless at first But over time, they change the foundation. And once that foundation weakens, > trust starts to fade Not immediately… but gradually. So if there’s one thing worth protecting that discipline around data. The way you’re handling it right now, that’s what makes this different. Because in the end, > AI doesn’t fail at the model layer > it fails at the data layer And it feels like you already understand that. #PerleAI #ToPerle — participating in @PerleLabs community campaign

@Shifu_38 @PerleLabs This is most valuable campaign

gPerle guys! today we gonna talk about what Perle labs build all about. lets dive into @PerleLabs ecosystem and I have tried to give you guys a little knowledge about Perle labs. Sovereign AI Data: Who Owns the Intelligence Behind AI? Thousands contribute to AI. Almost none own a piece of it. AI didn’t become powerful overnight. It became powerful because of people the unseen contributors who label data, refine outputs and continuously improve the systems we rely on every day. Yet, in most cases, their role ends where the value begins. They remain invisible, while the systems they help build generate massive impact. For years, the AI economy has followed a broken structure one where contribution does not equal ownership. Instead, it looks like this: 1. Centralized control over data and outcomes 2. Contributors treated as replaceable labor 3. Value extracted without long-term rewards ------------------------------------------------------------ This imbalance is exactly what needs to change.Perle is not just another platform in the AI space it is a shift in how data, contribution and value are connected. It introduces a system where your work is not only counted but remembered. Where accuracy builds your reputation and consistency unlocks better opportunities over time. In this model, contribution becomes more than a task it becomes an asset.This is what sovereign AI data truly represents. It’s not just about access to data, but about ownership within the process. It means contributors are no longer at the edge of the system but part of its core value creation. Instead of short term participation, it enables: 1. Transparent tracking of contributions 2. Performance-based growth and recognition 3. Long-term, incentive-aligned rewards ------------------------------------------------------------ The impact of this shift is massive. It transforms AI from a system built on hidden effort into one driven by visible, accountable and fairly rewarded participation. More importantly, it introduces alignment between those who build, those who contribute and the outcomes they collectively create. Because the real question isn’t just how advanced AI can become. It’s who gets to benefit from that advancement. @PerleLabs answers that by bringing contributors into the equation not as temporary workers but as stakeholders in a growing AI economy. The future of AI will not just be defined by intelligence. It will be defined by fairness, transparency and ownership. And those paying attention now won’t just witness this shift they’ll be part of it. Participating in @PerleLabs community campaign #PerleAI #ToPerle

@Tusharonweb3 @PerleLabs @PerleFDN That's the huge exploration, gperle

Perle Labs is rapidly becoming one of the most talked about projects in the decentralized AI space. The project is backed by a powerhouse group of Web3 and tech investors and raised $17.5 million in total funding which is interesting. What’s Happening Now? • The Transition from Kiva AI to the rebrand to Perle Labs marked a shift from a simple data labeling. They are building a decentralized network where specialized professionals ( ex. doctors, lawyers, engineers) can contribute their expertise to train models, earning rewards on the Solana blockchain. • The Snapshot & Tokenomics released. As of mid March 2026, the community is buzzing following the Season 1 Snapshot. While the $PRL token TGE (Token Generation Event) is the most anticipated next step, the team has been focused on it now. • One of the most important technical updates is the completion of the Halborn Audit. Having a top-tier firm like Halborn audit their smart contracts and platform architecture is a massive green flag for both investors and contributors. Why Perle Labs Matters? • If you’ve been following the AI space, you know the biggest problem right now isn't the models but it's the data. Perle Labs is essentially building a Global Brain. • For anyone involved in the ecosystem, the move from Season 1 to Season 2 represents a shift from early testing to real-world utility. • With $17.5M, they are no longer just a startup they are a serious contender in the race to build a decentralized future for Artificial Intelligence. Within my first content I'm - participating in @PerleLabs community campaign. #PerleAI #ToPerle

@Jason0x2 Really we need this campaign

The biggest threat to AI isn't a lack of models. It's a lack of trustworthy data. Most AI systems today are trained on massive datasets scraped from the internet unverified, biased, and often inaccurate. And when AI learns from flawed information, the outputs become unreliable. This is the core problem Perle Labs is building to solve. How It Works Instead of relying entirely on automated data collection, Perle Labs introduces a human verification layer. Real contributors review and validate data ensuring the datasets used to train AI are accurate, meaningful, and actually trustworthy. But here's what makes it different from typical crowdsourced platforms: Reputation is recorded on-chain. Every contributor builds a transparent, verifiable track record. Over time, high-quality contributors gain stronger standing in the ecosystem creating accountability that automated systems simply can't replicate. The Bigger Shift Right now, platforms extract value from user-generated data without rewarding the people who create it. Perle Labs flips this model. Contributors become active participants not invisible workers. They help build valuable AI datasets and get rewarded for the quality of their work. The result isn't just a better platform. It's infrastructure for trusted AI data something that could become foundational as AI expands into healthcare, finance, law and beyond. Data quality is the unsexy problem that will define which AI systems we can actually trust. #PerleAI #ToPerle participating in @PerleLabs community campaign @To Perle

@AdiS566 @PerleLabs Aditya you looks good perle

Hey everyone! 👋 @PerleLabs already took the snapshot some became eligible, some didn't. Those who completed all criteria correctly earned eligibility, others are spreading confusion nothing new there. Reality check: Some happy, some negative that's normal community behavior.