Web3 Creator || Contributor || Gamer || Locked in

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I wanted to visualize what happens beneath the surface of the @GenLayer network. The scene starts with a vast network of buildings before the camera moves into one of them. That transition represents moving from the wider GenLayer ecosystem into the execution layer where Intelligent Contracts actually run. At the center of that layer is GenVM.
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The missile effect in this video is not a preset effect/Template I achieved this using 6 different Layers of clips: 1. The money clip 2. The dust clip 3. The missile clip 4. The explosion clip 5. The smoke clip 6. The money clip(tweaked the blending option from normal) That’s basically how Vfx works What would I have done to get a better result if I wasn’t trying to beat time? Matching the overall effect’s tone and color with the Video itself. And for the sound? That’s a whole separate challenge on its own
Very insightful conversation with @kstellana on how broken the traditional legal system can be, and why the rise of AI agents creates an entirely new problem. As agents begin to transact, negotiate and operate autonomously, disagreements are inevitable. But the systems we currently rely on for resolving disputes were built around humans. They can be slow, expensive and difficult to access, especially when decisions need to happen at machine speed. What I found most interesting is how @GenLayer approaches this differently. Instead of relying on a single human judge or a small group of decision makers, GenLayer enables AI validators to independently evaluate subjective information and reach consensus. It’s not just about putting AI into a blockchain. It’s about creating infrastructure where different AI systems can collectively agree on outcomes that traditional blockchains struggle to handle because they aren’t purely deterministic. @cryptoHayesalso shares the need of an agentic layer in what he's building as well That opens up a very interesting possibility for the agentic economy: AI agents that can transact with each other, enter agreements, and have a neutral, decentralized layer to turn to when they disagree. The idea of an internet-native adjudication layer for a world increasingly operated by agents is honestly fascinating. Definitely one of the more insightful conversations I’ve listened to on where AI, crypto and decentralized systems are heading. @laurashin @unchained_pod
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"I'm giving you $10,000. Don't lose it." Soon that's the brief every agent gets. Here's how it pulls it off. @kstellana with @itsciaranlyons on @Cointelegraph's Chain Reaction.
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What apps are you trying on Base this week?
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Quick update guys 3 DAYS LEFT for the pALpha round II redemption window. The action window closes on October 1, 2026, at 19:00 (UTC+8). Here's what you need to know: Pharos Yield Period II runs from July 20 – October 20, 2026. So, what can you do? » Option 1: Continue with pAlpha III You don't need to do anything. If you don't submit a withdrawal request, your funds will automatically roll over into pAlpha III after October 19, 2026. Think of it like this: Your money finishes one round and automatically moves into the next round. » Option 2: Withdraw Your Funds If you want your funds back, you need to submit a withdrawal request before the deadline. Go to the official page and click [Withdraw] 🔗 port.pharos.xyz/deposit/ Withdrawal requests made during the action window will start being processed from October 20, 2026. It's simple Want to continue? > Do nothing. Want to withdraw? > Submit your withdrawal request before the deadline. DYOR and make sure you understand your choice before taking action. Gocto y'all @pharos_network #PharosStoryteller
🚨 Reminder: 3 days left! The action window for pAlpha II closes on October 1, 2026, at 19:00 (UTC+8) Please note that Pharos Yield Period II covers the period from July 20 to October 20, 2026 Here’s what you need to know before the deadline 👇
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🚨 Reminder: 3 days left! The action window for pAlpha II closes on October 1, 2026, at 19:00 (UTC+8) Please note that Pharos Yield Period II covers the period from July 20 to October 20, 2026 Here’s what you need to know before the deadline 👇
pAlpha II holders, the action window is open now Here’s what you need to know 👇
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The $DACT public sale is open on @ChainGPT_Pad. For everyone following the path to Interstellar, the window runs until October 1, 3 PM UTC. Check the requirements below before taking part. ↓
The $DACT Public Sale is LIVE! The window to commit funds is now open. Eligible users can participate during the sale window, as long as KYC is completed. Join the sale → pad.chaingpt.org/pools/publi…
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One thing I’ve been thinking about with physical AI is that building better robots is not only about making the hardware smarter. The data behind the robot matters just as much. A robot can have cameras, sensors, strong actuators and a powerful model, but if the training data is limited, messy or too repetitive, the robot will still struggle when the environment changes. This is where @PrismaXai is interesting to me. With Robotics Data, the focus is not simply on collecting a huge number of robot videos. The goal is to collect useful demonstrations. Different tasks. Different environments. Different objects. Different robot embodiments. Different operators. Different camera views. That variety matters because the real world is never perfectly controlled. A robot might learn how to pick up an object on one table, under one type of lighting, with one camera angle. But what happens when the table changes? What if the object looks slightly different? What if the lighting is poor? What if the robot has to approach the task from another angle? This is where good robotics data becomes important. PrismaX is building around this problem by bringing together teleoperation, egocentric data, review and custom data collection. The part I find especially important is the review process. Not every recorded episode should automatically become training data. A demonstration can look successful while still containing problems that make it less useful for training. Maybe the trajectory is not smooth. Maybe the camera view is poor. Maybe the task was not completed correctly. Maybe the environment does not provide enough variation. Quality control helps separate useful demonstrations from everything else. And then there is the other side of the problem. Sometimes the data you need simply does not exist yet. Instead of forcing a team to work with whatever is already available, PrismaX can collect data around specific tasks, robots and environments. That creates a more direct connection between: What the model needs → What data gets collected → How the data is reviewed → How the model learns. That feedback loop is important. Physical AI is still developing, and robots will eventually have to operate in environments that are far less predictable than a controlled lab. So the training data needs to prepare them for that reality. For me, this is one of the most interesting parts of what PrismaX is building. The future of robotics will not only be about having more capable models. It will also depend on having better experiences for those models to learn from. Better data gives physical AI more to learn from. And PrismaX is building the infrastructure around that data.
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The Agent Tank winners are here! Overall winners: Arena ISS, Dreamers DAO and Passport Track winners: Sentinel and Westphalia Honorable mentions: Hive Market, Trustgate, Proofcheck and Caveat Congrats to all nine teams, and thanks to every builder who joined our hackathon. See you at the next one.
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₦15,000,000 up for grabs! 💰 For 150 creators across X, Instagram, and TikTok (50 winners per platform). To win: - Make a video talking about your favorite Spenda 2.0 feature(s) - Post on X, Instagram, or TikTok - Tag and follow @myspenda ( @ spenda_app on IG) and use the hashtag #MySpenda P.S: Your video could be funny, educational, creative, a day-in-the-life, a feature demo, a skit, a hot take — anything goes! Submission ends: 20th October
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gDac and happy weekend Something big is getting closer in the DAC universe. My Interstellar Pass is ready, and the next phase for @dac_chain is almost here. The $DACT Public Sale is coming, and here’s what you need to know: » $0.14 per $DACT » $140M fully diluted valuation » $600K total raise » 100% of tokens unlocked at TGE » Payments made with USDC
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How far can you go to support a technology you genuinely believe in? For me, apparently… all the way to the streets of Nigeria. I took something I have spent so much time creating and building around online and brought it into the real world, right here in Nigeria, Africa. I have been part of the @genlayer community for a while now, contributing, creating and building with people from different parts of the world. But this time, I wanted to bring a little piece of that community home. Seeing GenLayer out here in Nigeria is such a surreal feeling. Because Africa is not just watching the future of technology happen somewhere else. We are here. We are building. We are part of it. And I am happy I got to put my own little piece of that story out there. 🇳🇬❤️ @RuzgarFlns @Aezakmi_x
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GN and GQuip Not much to say , have a good night rest @quipnetwork
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Dear @Monad family, I’ve created my own team on @LeverUp_xyz and I welcome all active traders. The first 10 people who individually reach 30K volume using my referral link will receive 10 USDC each (100 USDC total)! Join here: app.leverup.xyz?code=000
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Hop on this guys @usebPay bPay is an independent BSC community entry project. It is not an official Binance product and is not affiliated with Onboard. How to get started Go to Binance square profile and copy your link »Go to : bpays.fun/claim »Copy your link from binance square »Paste in the space provided in bPay website »a code would be generated for you add the code they give you to your bio in the binance square, then you submit your evm wallet. Next is to complete the social tasks Create a post, add the CA and your code. submit it CA: 0xb13003bf44de426dd2a3aae3df9c3400de0a7777 Code: BP-74D160883DD1
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The conversation between @kstellana the CEO and Co founder of @GenLayer was centered around AI and Crypto. Here are my 3 take aways
Asked whether crypto trading will always keep a human somewhere in it, @kstellana gave @itsciaranlyons a date. "In five years, nobody will be trading in crypto. No human. It will only be agents."
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What if Concrete is much bigger than just DeFi vaults? The vault is only one piece.Behind every serious on-chain financial product, there’s accounting, execution, security, monitoring, and a lot more infrastructure that users rarely see. That’s the part of Concrete I wanted to unpack in this video. The product is the surface. The stack underneath is what makes it work. Explore: concrete.xyz/earn Join discord: discord.gg/concretexyz
If 10% APY comes with more risk, is it really better than 2%? That’s the part of DeFi people often overlook when talking about institutional capital. For institutions, yield is only one piece of the puzzle. Custody. Risk. Liquidity. Reporting. Sustainability. In this video, I break down why the headline APY isn’t always the whole story. Explore: concrete.xyz/earn Join discord: discord.gg/concretexyz
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