𝙋𝘼𝙒𝘼𝙉

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𝙋𝘼𝙒𝘼𝙉

𝙋𝘼𝙒𝘼𝙉

@PawanKumar67103

Building with AI • Living in Web3 • Evolving with Crypto Supportive God @aigaealabs | Contributor @PrismaXai | @Dawninternet International Mod |

INDIA | BIHAR Katılım Haziran 2023
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𝙋𝘼𝙒𝘼𝙉
𝙋𝘼𝙒𝘼𝙉@PawanKumar67103·
𝐏𝐫𝐢𝐬𝐦𝐚𝐗: 𝐑𝐞𝐚𝐥 𝐂𝐨𝐧𝐭𝐫𝐨𝐥, 𝐑𝐞𝐚𝐥 𝐈𝐦𝐩𝐚𝐜𝐭 Spent some time on @PrismaXai today, going from queue to actually controlling the robot and the experience feels more real than I expected. The wait is more predictable now, the control center feels clearer, and once you get access, you actually have to slow down and think through every movement. There’s a slight delay, but that’s what makes it feel real like you’re interacting with something physical, not just a screen. Small improvements, but they genuinely make the whole flow smoother and more enjoyable.
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ASH_Web3
ASH_Web3@web3_ash·
𝐏𝐫𝐢𝐬𝐦𝐚𝐱 𝐈𝐬 𝐐𝐮𝐢𝐞𝐭𝐥𝐲 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐁𝐫𝐚𝐢𝐧 𝐨𝐟 𝐖𝐞𝐛𝟑 Crypto moves fast.Narratives change.Tokens pump. New platforms launching every day.But under all that movement, there’s one real question. 𝑯𝒐𝒘 𝒅𝒐 𝒅𝒆𝒄𝒆𝒏𝒕𝒓𝒂𝒍𝒊𝒛𝒆𝒅 𝒆𝒄𝒐𝒔𝒚𝒔𝒕𝒆𝒎𝒔 𝒂𝒄𝒕𝒖𝒂𝒍𝒍𝒚 𝒎𝒂𝒌𝒆 𝒃𝒆𝒕𝒕𝒆𝒓 𝒅𝒆𝒄𝒊𝒔𝒊𝒐𝒏𝒔? @PrismaXai That’s the angle where Prismax is focusing.Instead of chasing hype cycles, Prismax is working on intelligence infrastructure for Web3 networks.  The goal is simple: turn scattered on-chain activity into something structured and useful. Web3 produces huge amounts of data every second transactions.Governance proposals. Community behavior. Liquidity movement.Most of it sits there unused. Raw data alone doesn’t create value. Insight does.Prismax is built around organizing and interpreting that activity so projects and communities can operate with more clarity. 𝑩𝒆𝒕𝒕𝒆𝒓 𝒅𝒂𝒕𝒂 𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆 𝒎𝒆𝒂𝒏𝒔: • Smarter governance decisions • Clearer performance tracking • Stronger ecosystem coordination • More informed strategic planning. Another major issue in Web3 is fragmentation.Projects often build in isolation.Information stays siloed.Communication becomes inefficient. Intelligence layers help reduce that friction. Incentives also matter. Healthy ecosystems reward meaningful contribution, not just noise.When participation aligns with value creation, communities grow stronger over time. The next phase of Web3 won’t just be about being decentralized. It will be about being intelligently decentralized. That means better structure. Better coordination.Better visibility into what’s actually happening on-chain.Prismax is positioning itself in that space.Not at the surface where attention shifts daily.But underneath, where systems either become sustainable - or collapse under their own complexity.
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ASH_Web3@web3_ash

𝐏𝐫𝐢𝐬𝐦𝐚𝐗: 𝐏𝐨𝐰𝐞𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐇𝐮𝐦𝐚𝐧 𝐚𝐧𝐝 𝐑𝐨𝐛𝐨𝐭 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 We are moving from digital AI to real-world AI.PrismaX is where that shift becomes real. It connects humans,robots,and intelligence into one loopwhere every action creates value. Here’s how @PrismaXai is changing the game: 𝑹𝒆𝒂𝒍-𝑾𝒐𝒓𝒍𝒅 𝑹𝒐𝒃𝒐𝒕 𝑨𝒄𝒄𝒆𝒔𝒔 : Operate physical robots performing tasks like inspection, monitoring, and data collection. This is AI beyond the screen. 𝑯𝒖𝒎𝒂𝒏 𝑰𝒏𝒑𝒖𝒕 → 𝑺𝒎𝒂𝒓𝒕𝒆𝒓 𝑨𝑰: Every decision you make trains the system. Your actions directly improve how robots think, react, and perform. 𝑭𝒂𝒔𝒕𝒆𝒓 𝑻𝒉𝒂𝒏 𝑻𝒓𝒂𝒅𝒊𝒕𝒊𝒐𝒏𝒂𝒍 𝑨𝑰 𝑻𝒓𝒂𝒊𝒏𝒊𝒏𝒈 : Real-world data beats simulations. PrismaX accelerates AI learning with live, practical environments. 𝑬𝒂𝒓𝒏 𝑾𝒉𝒊𝒍𝒆 𝒀𝒐𝒖 𝑪𝒐𝒏𝒕𝒓𝒊𝒃𝒖𝒕𝒆 : Your time is valuable. PrismaX rewards meaningful participation, turning effort into real incentives. 𝑮𝒍𝒐𝒃𝒂𝒍 𝑪𝒐𝒍𝒍𝒂𝒃𝒐𝒓𝒂𝒕𝒊𝒐𝒏 𝑳𝒂𝒚𝒆𝒓 :Anyone, anywhere can join. A decentralized network training robotics at scale. 𝑴𝒐𝒓𝒆 𝑻𝒉𝒂𝒏 𝒂 𝑷𝒍𝒂𝒕𝒇𝒐𝒓𝒎 :This is infrastructure. A new layer connecting Web3, AI, and robotics into one ecosystem. 𝑾𝒉𝒚 𝒕𝒉𝒊𝒔 𝒎𝒂𝒕𝒕𝒆𝒓𝒔: AI will not scale without real-world data.Robotics will not scale without human input. PrismaX solves both. It turns users into contributorsand contribution into intelligence.The result is simple:Smarter robotsFaster learningShared upside The future is not automated aloneIt is collaborative and PrismaX is building it.

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Amaan
Amaan@bg_mi_2·
Vizo isn’t just trading It’s building a creator economy 👀 Ambassador Program LIVE Create content → earn rewards 💰 💸 Rewards 💰 $2,000 Cash Reward Pool a month 🏆 10,000,000 Points Pool 📅 Apply: March 25 – 30, 2026 What you have to do • Tweets / threads / memes • Share Vizo • Onboard users Before applying you need • 500+ followers • Web3 active • English content Why join? Early = more rewards + visibility ⚠️ Not guaranteed Quality matters 💡 Trade + Content = Opportunity ✨ Selected candidates will receive the official Ambassador role in our Discord server. 📝 Apply now: docs.google.com/forms/d/e/1FAI…
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Amaan
Amaan@bg_mi_2·
why are people starting to use @VizoExchange? and more importantly should you? honest answer 👇 before we start, I’ll keep this completely real and unbiased. I’m not here to hype anything. also being transparent I’m bullish on this idea and I’ve applied for their ambassador program. but that doesn’t change this breakdown. I’ll keep it honest. 👉 I’ll share both pros and cons 👉 what’s good and what’s risky so you can decide for yourself. most people spend hours daily scrolling X reading news watching trends you form opinions all the time. but here’s the reality 👉 you don’t earn anything from being right. you predicted a trend early? you knew BTC would move? still nothing. that’s the gap Vizo is solving. instead of just consuming content 👉 you predict 👉 you take a position 👉 you earn if you’re right here’s how simple it is every event becomes a market. example Will BTC hit $150k? ✔️ YES ❌ NO price = probability low % = risky but higher reward high % = safer but lower reward but this is where it gets interesting 👇 Vizo is not just about crypto. it’s built around 👉 trends 👉 sports 👉 entertainment 👉 real-world events anything people talk about → becomes tradable. and here’s the key difference 👇 how is this different from platforms like Polymarket? 👉 Polymarket serious politics-heavy data-driven 👉 Vizo fun social-first culture + entertainment focused Polymarket feels like 📊 trading news Vizo feels like trading what people are talking about that shift matters. because most users don’t want complex analysis they want 👉 simple interaction 👉 fast decisions 👉 relatable topics now let’s talk about rewards 👇 Vizo runs a Trade-2-Earn system you earn points for ✔️ trading ✔️ activity ✔️ participation these points → future $VIZO tokens. but strategy matters 👉 points reset monthly 👉 claims are limited 👉 staking unlocks more rewards early + active users benefit most. under the hood, it’s more powerful than it looks 👉 Pool system (easy entry) 👉 Orderbook (advanced trading) 👉 UGC markets (users create events) this is not just a betting app. it’s a full system. 🤔 so why would people join? ✅ earn from opinions your thinking finally has value. ✅ simple for beginners no charts, no complexity just pick a side. ✅ social + engaging feels like content + interaction not boring trading. ✅ airdrop potential early users can earn rewards + tokens. ✅ constant opportunities markets are everywhere daily chances to participate. but let’s be real 👇 ⚠️ CONS ❌ you can lose money wrong prediction = loss. ❌ still early stage liquidity and adoption growing. ❌ rewards not guaranteed points ≠ guaranteed profit. ❌ can be addictive fast + fun = overtrading risk. ❌ regulatory uncertainty prediction markets are sensitive globally. now the bigger idea 👇 Vizo is trying to turn 👉 information → probability 👉 probability → price 👉 price → opportunity basically it lets people trade what they already think. LET'S FINISH IT you’re already forming opinions every day. the difference is 👉 before no value 👉 now monetizable and that’s why platforms like Vizo are getting attention. DYOR EVERYTHING IS AVAILABLE ON THEIR OFFICIAL WEBSITIES👇 linktr.ee/VIZOGLOBAL @VizoExchange
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Izh Imon
Izh Imon@IzhImon·
Good Morning, BTC is hovering around the ~$70K mark right now. It’s dipped about 1.5% over the past 24 hours, nothing dramatic but what stands out is how well it’s holding that key level despite all the noise in the market. That kind of stability doesn’t go unnoticed. Things feel a bit choppy overall. Volume’s still decent, though, and Bitcoin just isn’t giving in to any major breakdown. It’s resisting… quietly, but firmly. So the question is—are diamond hands stacking more here, or just sitting back and waiting for the next move up?
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sikder ramzan
sikder ramzan@sikderramzan03·
@PerleLabs @PerleFDN AI is not just a model race anymore. It is a data problem. Everyone talks about bigger models and more compute. But the real question is: Can we trust the data behind them? Most AI today is trained on: • Unverified datasets • Unknown sources • Increasingly synthetic data That is a fragile foundation. Here is the real risk most people ignore: AI is starting to learn from AI. This creates feedback loops → quality drops over time. This is called model collapse. Bad data does not just reduce performance. It creates: • Bias • Errors in edge cases • Unreliable real-world decisions In high-stakes systems, that is dangerous. This is the problem Perle Labs is solving. Not better models. Better data. Perle is building the sovereign data layer for AI. Meaning: • Data is traceable • Human-verified • Auditable onchain No more black-box datasets. Instead of anonymous workers, Perle introduces: Expert-driven data pipelines • Doctors → medical data • Lawyers → legal data • Specialists → complex tasks Quality over speed. Here is where it gets interesting: Contributors build onchain reputation. So over time: • High-quality work = more trust • Low-quality work = filtered out Trust becomes measurable. This changes everything. Instead of guessing if data is reliable, AI systems can rely on proven credibility. Another big idea: Data sovereignty Organizations can: • Own their data • Track its origin • Audit how it was created This is critical for enterprise AI. Perle is built by veterans of Scale AI. They have seen the limits of: • Crowdsourced labeling • Opaque pipelines • Speed-driven systems Now they are fixing it. The future of AI will not be won by the biggest model. It will be won by the most trustworthy data layer. Because in the end: Bad data = bad AI And trustworthy AI starts with Perle. — participating in @PerleLabs community campaign #PerleAI + #ToPerle
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Rk Tapos Roy
Rk Tapos Roy@irktapos·
AI is moving into high-stakes domains healthcare, robotics, transportation, defense yet most models still train on opaque, unverified data. That’s the risk no one talks about enough. Introducing Perle Labs a sovereign intelligence data layer for AI. Perle Labs is building trusted infrastructure for AI training and evaluation by combining three core pillars: • Expert-verified contributions (not anonymous crowd work) • Full lifecycle audit trails recorded on-chain • Incentives + reputation systems that reward long-term quality As models increasingly train on synthetic or unknown sources, the risk of data poisoning, degraded performance, and security vulnerabilities grows. Perle Labs addresses this by turning human expertise into a verifiable asset inside the AI supply chain. The vision: A future where every high-stakes AI decision can be traced back to accountable human judgment. What Perle Labs is aiming to unlock: ✓ A standard protocol for sovereign, expert-validated AI data ✓ Audit-ready datasets for governments, enterprises, and frontier labs ✓ An on-chain expert economy where professionals build reputation and share in the upside of the AI systems they help train In the next phase of AI, data integrity becomes infrastructure. Perle Labs is building that layer. #PerleAI #ToPerle I'm participating in @PerleLabs community campaign
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A ri 🥀
A ri 🥀@anna42370·
Most people are still losing 0.3% on slippage and $20 in gas just to move liquidity across chains. ​With @RiverdotInc, the liquidity doesn't move; the buying power does. If you aren't using satUSD to mint on-demand, you’re essentially paying a "bridge tax" for no reason. Native !
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SoftOla🔺
SoftOla🔺@SoftOla01·
DAY 4!🔥🚀 Day 4 since posting about @River4fun Make quality posts and enjoy free real rewards Y’all don’t wanna fade on this! Come on board now! The leaderboard race is live you don’t wanna be left out $RIVER now and always
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𝙋𝘼𝙒𝘼𝙉
𝙋𝘼𝙒𝘼𝙉@PawanKumar67103·
AI feels different when you can actually control it Saw what @PrismaXai is doing at @Yale’s YHack, and this is honestly the kind of setup that stands out. 600+ builders, 24 hours of hacking and instead of just ideas, they’re letting people operate real robot arms in real time. They’ve even put $100K+ in prizes around the event, and a live challenge where top operators win cash. The task sounds simple: stack as many blocks as possible. But in reality, it’s much harder than it looks. Once you start controlling the robot, you notice: • timing and precision actually matter • small delays can mess everything up • real-world control feels very different from simulations That’s what makes this interesting. You’re not just watching AI or robotics you’re directly interacting with it, competing, and learning how it behaves in real conditions. Good to see @PrismaXai bringing real systems, real challenges, and real rewards into events like this 🚀
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MD RIFAT
MD RIFAT@RIFAT5666·
AI is no longer just a trend, it has become an essential part of human life. Its impact is growing rapidly in almost every field, from healthcare to defense. But the real issue is elsewhere. No matter how advanced AI is, if the data it operates on is wrong, the results will also be wrong. Bad data means wrong decisions. And that mistake is most dangerous when it involves life and death. @PerleLabs is working to solve this problem. They are focusing more on building AI models than on the data that AI is learning from. In their approach. ■ Data is not just used, it is verified. │ ■ The source of the data is traceable and clean. │ ■ The entire process is transparent, not a black-box. Their main goal is very clear: • Not speed (but accuracy) • Not hype (but trust) The entire framework stands on three fundamental foundations. ■ Data quality is the highest priority. │ ■ Transparency is the default state. │ ■ The right incentive structure. In the end, there is only one thing, how powerful AI will be, does not depend only on the model.  Data is the real foundation. AI becomes truly reliable only when the data is correct. #PerleAI #ToPerle — participating in @PerleLabs community campaign.
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MD RIFAT@RIFAT5666

The most important aspect of @PerleLabs is that it is not just competing to increase AI output. Rather, it is working to solve a deeper problem: 𝘁𝗿𝘂𝘀𝘁𝘄𝗼𝗿𝘁𝗵𝗶𝗻𝗲𝘀𝘀. As AI becomes more and more part of real-world decisions, data quality becomes more central. If data is opaque, poorly vetted, or of uncertain provenance, even the most robust model will not be reliable. This is the biggest risk, especially where the cost of mistakes is high. Perle is taking a different approach here. It is not relying on anonymous crowdsourcing or closed data pipelines. Instead, it is building a framework where skilled people can verify data, build their reputations, and the whole process becomes more transparent. This is not just a process change, it is a value shift. AI is no longer just a black box, but increasingly becomes explainable, accountable, and aligned with human values. Another point becomes clear: the value of expert expertise.  Not all data work is created equal, and Perle takes this seriously. It’s implementing a concept where human knowledge and skills aren’t just used, they become verifiable digital assets. That’s the real difference. Because then you’re not just training AI, you’re building a layer where human intelligence itself becomes part of the infrastructure. That’s why the project is worth keeping an eye on. Ultimately, it’s not just intelligence that will determine whether an AI creates real value, it’s credibility that will determine whether it’s a real AI. #PerleAl #ToPerle — participating in @PerleLabs community campaign

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𝙋𝘼𝙒𝘼𝙉
𝙋𝘼𝙒𝘼𝙉@PawanKumar67103·
@theboysaviour0x @GenLayer Yeah, this hits the real gap. Agents aren’t the problem the infrastructure hasn’t caught up yet. This feels like a step in the right direction 👍
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ekko
ekko@theboysaviour0x·
Bradbury testnet just went live @GenLayer and I’m not gonna lie, this one actually got me I’ve been watching AI agents go from basic chat to tools that can search, decide, and act on their own and every time they try to move onchain, things fall apart not because agents aren’t ready but because the systems they’re plugging into aren’t built for them blockchains expect clean inputs and fixed outputs agents deal with context, messy data, and situations that aren’t black and white GenLayer is going straight at that problem instead of forcing everything into rigid logic it lets contracts pull real web data, understand what’s going on, and lets validators figure out outcomes together that just makes more sense Bradbury being live means this isn’t just an idea anymore people can actually start building and testing this properly agents that react to real information make decisions and actually get things done onchain without breaking everything if agents are going to be part of how we use the internet, they need systems that can handle how they work this feels like a real starting point
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𝐒𝐡𝐚𝐧𝐚𝐲𝐚
Gprisma 💝 Yesterday was the PFP session in PrismaX where @Chaosartworkz drew my PFP and it turned out really good. She is genuinely an amazing artist. Also thanks to @edward_evm for hosting the session. The games made it even better and kept everything engaging. If you think that was it, hold on. There is still more happening this week inside the PrismaX Discord: PrismaX Fun Mode 26 March 2026 at 14:00 UTC A relaxed karaoke session to just hang out and enjoy PrismaX Content Clinic 27 March 2026 at 14:00 UTC Community content reviews along with practical tips to improve These sessions are not just fun, you actually end up learning something useful every time. Join the PrismaX Discord to be part of it X: @PrismaXai linktree: t.co/ipHnnMfn5Q discord: discord.gg/prismaxai Still worth jumping in this week.
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Virat Sharma 🎩
Virat Sharma 🎩@0xape_me·
Omg 😳 yesterday earned 25 $River points Day 4 on River..🌊 25→ 39 pts. 📈 (+20.95 today). Session 4 end after 36 days @River4fun How many points you earn today everyone? Comment👇 Let's grow together with $River @RiverdotInc gRiver 🙋
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𝙋𝘼𝙒𝘼𝙉
𝙋𝘼𝙒𝘼𝙉@PawanKumar67103·
@LUCKYlaku25 Simulated assets let users learn and test systems safely before real capital is at risk 👍
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lucky
lucky@LUCKYlaku25·
One thing that stood out to me in Nasun: Why use simulated assets instead of real money? At first, it feels strange But it actually makes sense 👇 If you’re building a financial system, using real money from day one is risky. One mistake = real loss. So Nasun does something different: They use simulated assets like: • NBTC • NETH • NUSDC These act like real assets but without real risk. This allows you to: • test transactions • try staking • experiment with flows without worrying about losing funds. But the bigger idea is: You’re not just testing features You’re testing how systems behave. How value moves How users interact How coordination works So instead of jumping straight into real DeFi, Nasun is building a layer before that A place to experiment safely. And honestly, that’s a pretty smart approach. @Nasun_io
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lucky@LUCKYlaku25

GM ☀️ I am still unranked on the @Nasun_io leaderboard after 2 days and honestly, I didn’t understand why. Thought my posts weren’t being counted. But yesterday, nasun founder clarified how scoring actually works and it changed my perspective 👇 Nasun’s leaderboard isn’t automated. Every participant is reviewed manually. They go through your profile, collect your posts, and score them one by one. Which also means: What you post today won’t show up immediately. There’s a delay sometimes a few days before it reflects. More importantly: This isn’t a volume game. Scoring is based on: • clarity of thought • originality • how far your content reaches They’re also actively filtering: → bot accounts → low-effort farming So spamming doesn’t help here. If you see sudden jumps in rankings, it’s usually not one viral post it’s older posts getting scored together. The takeaway is simple: This is not about posting more It’s about posting better Understand the system Explain it clearly Stay consistent That’s how you actually climb so i will just focus on staying consistent

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Hitesh
Hitesh@HiteshKhambe·
𝗣𝗿𝗶𝘀𝗺𝗮𝗫 × 𝗡𝗩𝗜𝗗𝗜𝗔 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴 𝗶𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 They've joined NVIDIA’s Inception Program at first glance it looks like a standard announcement but theres more going on here Most AI systems are built in simulation 𝗘𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗶𝘀 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗱: lighting,objects, environments but the real world doesn’t behave like that ➤Things shift ➤Conditions change ➤ Unexpected problems show up 𝗜𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗿𝗲𝗹𝘆𝗶𝗻𝗴 𝗼𝗻𝗹𝘆 𝗼𝗻 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻, 𝘁𝗵𝗲𝘆 𝘄𝗼𝗿𝗸 𝗼𝗻: ➤ Teleoperation (humans controlling robots ) ➤ Real world data collection ➤ Training AI from actual interaction 𝗡𝗼𝘄 𝗮𝗱𝗱 𝗡𝗩𝗜𝗗𝗜𝗔 𝗶𝗻𝘁𝗼 𝘁𝗵𝗶𝘀 : ➤ With access to high-performance compute and infrastructure ➤ training becomes faster and more scalable this is where things start moving beyond experiments 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 : ⬩Faster AI training cycles ⬩ Better real world performance ⬩ Robotics systems that can scale ⬩Stronger position in the AI ecosystem 𝗔𝗻𝗱 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝗶𝗺𝗽𝗮𝗰𝘁 : ⬩ Robots that work outside controlled environments ⬩ Safer operations in risky situations ⬩ Automation that actually functions in real industries 𝗧𝗵𝗶𝘀 𝗶𝘀 𝘁𝗵𝗲 𝘀𝗵𝗶𝗳𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄 : From simulation ➜real world deployment From models ➜ physical interaction 𝗜𝗳 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗲𝘅𝗽𝗹𝗼𝗿𝗲 𝗺𝗼𝗿𝗲: 🔗 Blog : prismax.ai/blog/prismax-j…⁠ X: x.com/prismaxai⁠ Discord : discord.gg/prismaxai @PrismaXai
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Islam Turaf
Islam Turaf@isturaf·
gMum Guyz @Get_Optimum is redefining decentralized networking with a powerful balance of simplicity and control. Whether using the Optimum Proxy for seamless subscription and publication management or switching to direct P2P mode for ultra-low latency developers get the flexibility they need. With fine-tuned control over mesh parameters like fanout and advanced messaging protocols ( GRAFT, PRUNE, IHAVE, IWANT ), Optimum enables precise optimization of bandwidth latency, and network reliability. Automatic node discovery ensures effortless peer connections while the gRPC API makes integration into dApps real-time systems and experimental frameworks smooth and efficient. From beginners to advanced builders Optimum provides the tools to create scalable resilient and high performance communication layers powering the next wave of decentralized innovation. @blockchainjeff @shariaronchain @f1nk1r
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Kingsman
Kingsman@KingsmenX7·
Everyone is obsessed with Ai models. ⋆ Better accuracy. ⋆ Better benchmarks. ⋆ Bigger releases. ⇢ But almost no one is asking Where do these models actually run? ✧ That’s the real bottleneck ⇢ Because building a model is one thing running it reliably at scale is another. This is where OpenGradient stands apart. It’s not trying to be another model provider. It’s building the execution layer for Ai systems. A network where; → Applications access compute on demand → Agents execute tasks across environments → Systems don’t rely on isolated infrastructure ➣ Instead of every team rebuilding from scratch, @OpenGradient turns compute into a shared network. Powered by: → Specialized GPU nodes for performance → TEE nodes for secure, verifiable execution ➣ This matters more than people realize. Because as AI shifts from tools → agents → systems, execution becomes the foundation. Without scalable compute ⋆ No real time AI ⋆ No autonomous systems ⋆ No global coordination Models are just the beginning. Execution is where AI becomes real. And that’s exactly the layer @OpenGradient is building.
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Elysia
Elysia@Elysia4093·
Everyone is busy hyping AI… New tools, new models, new trends every week. But almost no one is asking the real question: Who owns the data behind all of this? Because let’s be honest , if your data is being used, trained on, and monetized… and you get nothing back, then who’s really winning? That’s where Perle feels different to me. It’s one of the few projects actually talking about ownership, not just innovation. And maybe that’s why it’s still underrated… for now. People will realize it later , they always do. #PerleAI #ToPerle — participating in @PerleLabs community campaign
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Saif
Saif@oirruy·
Only 15 Days Left Don’t Miss 25% APR on Glider’s Base Boosted Portfolio If you’re tired of watching your crypto sit idle while the market moves, Glider has the perfect solution. Their Base Boosted ETF, proudly sponsored by @base is currently delivering a boosted 25% APR on a smart, diversified basket of blue chip and high-growth assets: ETH, cbBTC, SOL, AERO, VIRTUAL, and MORPHO. Every single deposit earns real yield that auto compounds straight into your portfolio every 8 hours completely hands-off. No complicated yield farming, no daily gas fees, no constant checking charts. Just deposit once (minimum $100) and watch passive onchain income build while you sleep. Since launch, nearly 1,800 people are joining every day, locking in rewards and riding the explosive growth of the Base ecosystem. Glider is backed by top-tier investors including a16z and Coinbase, and it automates proven DeFi strategies so you get simple, institutional-grade exposure to blue chip crypto, DeFi primitives, and the booming AI narrative all in one click. This is not just another farm. It’s a limited-time promotion designed to reward early movers in the Base economy. Once the 15-day window closes, the boosted 25% APR disappears. Start earning now:glider.fi/strategy/01KJT… Set it. Forget it. Let your portfolio compound. @BrianInCrypto @zodl_co
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Saif@oirruy

For decades, building a meaningful investment portfolio was reserved for the wealthy and well-connected. You needed financial advisors, high minimums, endless paperwork, and restricted trading hours. Those days are officially over. @glider_fi is thrilled to announce the integration of Ondo Finance’s groundbreaking tokenized stocks. Now, anyone in the world can build a powerful onchain portfolio featuring tokenized versions of iconic assets like $TSLAon, $NVDAon, $SPYon, along with Apple, Microsoft, Google, and every other major US stock available through Ondo Finance. Backed by a16z, Coinbase, Uniswap Labs, and more, Glider automates sophisticated DeFi strategies while putting complete control back in your hands. This integration marks a major milestone in bridging traditional finance with decentralized technology. Investors no longer have to choose between the reliability of blue-chip stocks and the freedom of blockchain. With Glider + Ondo, you get the best of both worlds: true ownership of assets that you fully control, 24/7 global trading, instant settlement, enhanced liquidity, and automated yield opportunities all in one seamless, borderless platform. No more middlemen taking cuts, gatekeeping access, or limiting your potential. Whether you’re a seasoned investor looking to diversify into crypto or someone entirely new to onchain finance, this is your opportunity to take charge. The power is shifting from institutions back to individuals. The future of investing is here decentralized, programmable, and fully customizable. Start building your personalized onchain portfolio today and step into the next era of wealth creation. 👉 Launch your portfolio now at glider.fi/stocks @BrianInCrypto @Dev33187 @hoss16242

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𝐂𝐇𝐄𝐓𝐀𝐍
𝐂𝐇𝐄𝐓𝐀𝐍@CryptoWithCK·
AI Is Not Getting Smarter — It’s Just Learning From Bad Data The biggest misconception in AI today is that models are the problem. In reality, most modern models are already powerful enough. The real issue sits deeper in the data they are trained on. Perle Labs is built around fixing that exact layer. ▶ The Hidden Problem in AI AI systems are trained on massive internet datasets that appear large but lack reliability. The issue is not just noise, it is the absence of verification. Data is often outdated, mislabeled, biased, or contradictory, yet models are forced to learn from it as if it were accurate. This is why AI can sound confident while still being wrong. ▶ Fixing the Data Layer Perle Labs focuses on restructuring how data is created, reviewed, and trusted. Instead of relying on unverified sources, they bring in real contributors to label, correct, and evaluate datasets. The key difference is that this work is tracked, verified, and tied to reputation rather than treated as disposable labor. ▶ Incentives Define Quality Traditional data labeling systems reward speed over accuracy. Contributors are paid per task, which leads to inconsistent quality and no long-term accountability. Perle changes this by rewarding precision. Better contributors gain stronger reputation and access to higher-quality tasks, creating a system where accuracy compounds over time. ▶ From Quantity to Judgment AI no longer improves simply by increasing data volume. The real improvement comes from better judgment in data. Edge cases, ambiguity, and domain-specific understanding require human expertise. This is especially critical in fields like healthcare, law, and robotics where mistakes carry real consequences. ▶ Expert-Driven Data Perle Labs builds around expert involvement instead of generic labeling. Domain-specific contributors handle complex data, ensuring higher accuracy and deeper context. This shifts AI training from surface-level pattern recognition to more reliable understanding. ▶ The Real Bottleneck in AI AI progress is no longer limited by model architecture. It is limited by the quality of the data pipeline feeding those models. If the input layer is flawed, the output will always reflect those flaws, regardless of how advanced the system appears. ▶ Building Trustworthy AI Systems By focusing on verified contributions, transparent reputation, and structured data workflows, Perle Labs is working toward more reliable and explainable AI systems. This is not about incremental improvement, it is about strengthening the foundation AI depends on. Perle lab is strengthening the foundation of AI by turning raw unreliable data into verified, expert-driven input, enabling models to learn more accurately and deliver more trustworthy outcomes over time. #PerleAI #ToPerle participating in @PerleLabs community campaign
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