Just crossed a major milestone with @axisrobotics 🚀 → 100,000+ global contributors → 20,000+ hrs real-world data/month → 1,200+ hrs simulation data/month → Task generation across 12 categories The Compounding Data Engine isn't a concept anymore — it's live and scaling. #AxisRobotics #PhysicalAI #Axis

🚀 Binance Wallet × Axis Robotics Campaign Recap What an incredible journey! 🎉 From August 26 to September 23, the Axis Robotics campaign brought our community together and achieved some amazing milestones: 🏆 2,521 contributors rewarded ✅ 477,461 tasks completed 📌 989 tasks covered Powered by the seamless, keyless experience of Binance Wallet, participants from around the world were able to join effortlessly, complete tasks, and help build the future of Physical AI—without owning a robot or stepping into a laboratory. A huge thank you to everyone who participated, supported the campaign, and helped make it a success. Your contribution truly matters to the growth of Axis Robotics and the next generation of intelligent machines. 🎖️ If you joined the campaign, your badge is on the way! The future of robotics is being built together. 🤖⚡ @axisrobotics #AxisRobotics #BinanceWallet #PhysicalAI #Robotics #AI #Web3

$3,000+ Worth of $YNX has already been distributed !🦉 Users who complete the On-Chain Check-In will receive exclusive Red Packets to help cover their check-in fees⚡ Stay active, complete your check-in, and don’t miss the next $YNX drop. 👀

TOMORROW STARTS HERE The idea continues. Gold doesn't have to be extracted to be part of the future. Land doesn't have to be disturbed to create value. Participation doesn't have to stop at ownership. nGRND is building a different model around all three. Verified gold. Preserved land. Digital participation. The Gold Protocol. ngrnd.io 🟡 @nGRND_io @nGRNDesg @DigItGoldGame @GAMEEToken @predictfully_ @Astra__Nova

9 days after Predictfully connected its community to the nGRND Gold Protocol: +496% new accounts +473% active players +224% market predictions 12,969 DSBT users 50,757 tasks completed From sign-up to participation. Not just registrations — Participants. This is the Participation Stream Partner model. And it’s only day 9. FULL CASE STUDY DETAILS IN FIRST COMMENT👇 @nGRND_io @nGRNDesg @DigItGoldGame @GAMEEToken @predictfully_ @Astra__Nova @FirstClassMetal

American Fusion: Developing Fusion Power For The AI Era Artificial intelligence is racing forward. The electricity to power it has to keep up. @FusionAMFN $AMFN is developing the Texatron™ Fusion Engine™ with a clear ambition: bring fusion power directly to the data centres that need it. • 5 megawatt preproduction system received • Plans for 10 megawatt and 20 megawatt systems with its Texas fabricator • Texas authorization to test 12 planned sizes, from approximately 500 kilowatts to 1 gigawatt Watch the cinematic trailer.

American Fusion’s Texatron: The Race to Power AI With Fusion What if one of the biggest limits on artificial intelligence is not computing power, but the electricity needed to run it? • Physical 5 megawatt preproduction system received • 10 megawatt and 20 megawatt systems commissioned • Texas authorized testing across 12 planned sizes ranging from approximately 500 kilowatts to 1 gigawatt Watch now at home or on the go. @FusionAMFN $AMFN

Nextech3D·ai's Enterprise Surge: 160 New Contracts, 92% Margins and Customers Including Google & Microsoft Issued on behalf of @Nextech_AR $NTAR / $NEXCF • $874K in new contract value through early August, up approximately 1,476% • Average contract value increased 77% to approximately $5,464 • CEO Evan Gappelberg recently purchased another 250,000 shares Watch now at home or on the go!

Nextech3D.ai crossed $1 million in new customer contract value in under 9 months — 180 contracts signed. Issued on behalf of @Nextech_AR $NTAR / $NEXCF • ~80% gross margins — meaning for every dollar of software revenue, roughly 80 cents stays after delivery costs • More customers signing multi-year deals • New product launched: KATE, an AI tool for workforce training What's the one thing you'd most want to see from Nextech3D.ai over the next 12 months?

September was a month of growth for Beldex. From welcoming new leadership and strengthening our global presence at Korea Blockchain Week 🇰🇷 to expanding partnerships, improving existing products, and building what’s next. Onwards and upwards. @BeldexCoin @NucleusCodes

🚀 SPACE JUST GOT FASTER. SpaceX’s Dragon spacecraft has set a new U.S. record for the fastest launch-to-docking journey to the International Space Station, reaching the ISS in just under 8 hours. 🇺🇸🚀 NASA’s Crew-13 is now aboard the station for a long-duration mission — another milestone in the era of commercial human spaceflight. The future of space travel is moving fast. 🌎➡️🛰️ #SpaceX #NASA #ISS #Space

Axis is officially LIVE on @base . 🔵 Axis is scaling Physical AI for the real world, contributed by everyone. You can control robots in a virtual world, generate training data at scale, and help build the brain behind tomorrow's robots. All from browser. No hardware needed. Start building robotics intelligence today: hub.axisrobotics.ai @axisrobotics

gm builders ☀️ The future of Web3 isn’t just about technology — it’s about the community building it every day. From Seoul to the world, **Beldex** is shaping an ecosystem built for secure communication, real privacy, and the next generation of the internet. The building never stops. Onwards and upwards. 🚀 @BeldexCoin #gm #Beldex #Web3 #Privacy #Blockchain

Axis Robotics: Building the Data Engine Physical AI Actually Needs Every AI boom has had the same first move: find the fuel before you build the engine. Language models had the internet, trillions of words already sitting there, free to scrape. Physical AI has no equivalent. A robot that needs to learn how to grasp a mug, sort a package, or walk across an uneven warehouse floor has no "internet of movement" to read. That data doesn't exist yet. It has to be made. Axis Robotics is built around that one structural gap, and its answer is worth understanding in detail, not just as a pitch, but as an actual piece of infrastructure with real usage behind it. The bottleneck nobody else is fixing LLMs got smart by reading the web. Robots cannot browse the web to learn movement. That's the entire thesis, and it holds up under scrutiny. Video has no joint torques, no contact forces, no 6-DoF poses, so a model trained purely on internet footage still can't act in the physical world. Real-world data collection is scarce and risky: real kitchens, real factories, real clinics produce thin, fragile datasets with safety, privacy and uptime costs baked into every session. And traditional teleoperation, a human operator physically controlling a robot arm, doesn't scale. It's expensive, slow, and bottlenecked by how many people you can put in front of hardware at once. Axis's answer is to turn the bottleneck into a participatory game. Open a browser, connect a wallet, control a virtual robot arm like a claw machine. Every completed level is a verified data trajectory, rewarded on Base, produced at genuinely global scale instead of one lab at a time. Four products, one compounding loop This isn't a single tool, it's a pipeline, and each stage feeds the next: Task Generation Engine- give it a scene, a set of objects, a goal, and it automatically composes layouts, samples physical conditions and multiplies scenarios into exponentially growing task families. This is what keeps the well from running dry. Simulation Data Collection Platform- contributors teleoperate simulated robots directly in a browser, no hardware, no local simulator required. It supports both full human demonstrations for large-scale pretraining and human-gated corrections during policy rollouts (a technique called DAgger) for post-training. Mobile Egocentric App- from an iPhone to a headband rig with optional wrist cams, this captures first-person human activity in everyday and industrial settings, reconstructing 4D hand motion paired with language annotations. Zero hardware barrier, real-world diversity. Data Processing Pipeline- raw trajectories get validated, filtered, smoothed and resampled, then replayed under randomized cameras, lighting, textures and object poses, turning noisy crowdsourced input into training-ready data. The loop closes on itself: generate tasks, collect data two different ways, process it, deploy it, watch where the model fails, and feed those failures back into the next round of task generation. That feedback cycle, not any single product, is the actual moat. Why put this on-chain at all It's a fair question, and Axis has a specific answer rather than a generic "crypto makes everything better" one. Three structural advantages: Smart incentives: better teleoperation skill produces better data, and that quality is algorithmically rewarded on-chain rather than judged after the fact. Absolute transparency: the task-data-model relationship is anchored on Base, giving enterprise clients an auditable data lineage from the original prompt all the way to the trained policy. For a company buying training data, being able to verify where it actually came from is not a small thing. Assetization: digital tasks, datasets and trained models become composable, ownable assets inside the Physical AI stack, rather than disappearing into a private corporate database the moment they're produced. Each accepted trajectory gets a unique Data ID recorded on Base, establishing verifiable ownership and provenance, independent of any single company's internal claim. The proof, not just the pitch This is the part that separates Axis from a lot of "crypto meets AI" projects that never produce anything to actually check. Axis published real research. Continual pretraining on Axis Dataset V1 lifted a real model, π0.5, from 83.9% to 88.8% on the LIBERO-Plus benchmark, with performance improving consistently as pretraining data scaled from 25% to 100% of the dataset, and no sign of saturation yet. That work was built with researchers from Georgia Tech, UC Berkeley, Texas A&M, Johns Hopkins, Penn, Michigan, NUS and NTU, and it's published on arXiv with the dataset on HuggingFace, not locked behind a marketing page. Then there's the Little Prince's Rose experiment: 15,371 participants mobilized, 85,387 training sessions collected, policy pretraining completed, and a real robot deployed in the physical world within five days. That's the compounding loop working end to end, from a browser game to an actual moving machine, on a five-day timeline. Real customers, real revenue Axis isn't selling a vision to retail and hoping enterprise shows up later. It already has three active customer segments in commercial procurement: robotics hardware companies (like Booster Robotics) that have great kinematics but no generalizable "brain," foundation model and infrastructure teams starving for structured multimodal interaction data (Manycore Technology, Feagine AI), and industrial automation companies needing scenario-specific training data for complex manufacturing lines (Lotus Car, Geely Auto). This is a B2B2C model: Axis generates revenue by powering enterprise data and model pipelines, while the community that generates the underlying trajectories earns rewards for doing it. The numbers, as they stand today As of the current live telemetry: 5,000+ tasks in the production library, 130,000+ total contributors, and 4,000,000+ trajectories delivered as training-ready data. The company has shipped consistently, not just talked about shipping: live on Base in March 2026, a top-10 dApp on Base within a month of launch, a finalist in Base Batches 003, part of the Base Founders Residency, a $12 million seed round led by Hack VC (with Nomad Capital, Pi Network Ventures and 10K Ventures participating, announced July 27, 2026), and a Research Advisor, Prof. Jiachen Li, added at the end of July. In August alone: Dataset V1 published, the point system went live, partnerships announced with Booster Robotics and OpenRoboto, and 3 million trajectories crossed on Base. The roadmap keeps the same shape going forward: a 10,000+ hour Sim Dataset V2 aimed at ICRA in September, the world's first DAgger (human-gated failure-recovery) dataset in October, scaling to 100k+ global contributors and 10k+ daily active users across Latin America and Eastern Europe by year end, and a stated goal of $1M+ annual recurring revenue run-rate by the end of 2026 through expanded data subscriptions. Why this matters beyond one project Step back from Axis specifically for a second. The Physical AI industry's actual constraint right now isn't compute, and it isn't even model architecture. It's the same problem LLMs solved by accident when the internet already existed: where does the training data come from, and can anyone trust that it's real. Axis is one of the few teams treating that as the core product to build, rather than an afterthought bolted onto a robotics company. Whoever controls the data engine, not necessarily whoever builds the flashiest robot, is positioned to shape how fast the entire category actually matures. How to actually get involved If you want to be part of the network generating this data rather than just reading about it, here's the actual path, in order: Start with the Beginner Tutorial, then read the FAQ before touching the simulator. Open Axis in a desktop browser and complete one task. No specialized hardware, no local simulator install required. Sign your completed contribution on Base, giving it a verifiable, on-chain provenance record. Share your experience and use your referral link to bring more contributors into the loop. Every validated trajectory from someone you refer lifts your entire mindshare score, with cumulative public tiers (5, 10, 50, and 200+ referred trajectories) unlocking higher multipliers as you go. This isn't a passive watch-and-wait project. The network is built to grow by people actually doing the task and bringing others in behind them. The internet taught language models to think by giving them something to read. Someone still has to teach robots how to move. Axis is building the browser-based, on-chain infrastructure to make that possible at global scale, and the door is open for anyone with a browser and a wallet to be part of producing that data rather than just watching it get built. Start with the Beginner Tutorial, then read the FAQ before touching the simulator. Open Axis in a desktop browser and complete one task. No specialized hardware, no local simulator install required. Sign your completed contribution on Base, giving it a verifiable, on-chain provenance record. Share your experience and use your referral link to bring more contributors into the loop. Every validated trajectory from someone you refer lifts your entire mindshare score, with cumulative public tiers (5, 10, 50, and 200+ referred trajectories) unlocking higher multipliers as you go. This isn't a passive watch-and-wait project. The network is built to grow by people actually doing the task and bringing others in behind them. just watching it get built @axisrobotics

GOLD RUSH is live on Predictfully. One question: Where will XAU/USD be at the end of the round? Three rounds. Side by side. Monday to Friday. 15 minutes. 1 hour. 4 hours. Watch the price move. Trade the round that is running. Entries close 1 minute before the end. Pick a length. Take a view. predictfully.app/gold-rush Get grounded 🟡 @nGRND_io @nGRNDesg @DigItGoldGame@GAMEEToken @predictfully_ @Astra__Nova

Reading about the Gold Protocol is one thing. Participating is another. A DSBT can establish ecosystem identity. A Rewards Account can track activity. Participation Streams create pathways. Staking can contribute to Reward Levels. Rewards turn activity into progress. The ecosystem is built to be participated in. ngrnd.io @nGRND_io @nGRNDesg @DigItGoldGame @GAMEEToken @predictfully_`

Privacy isn’t a feature. It’s the foundation. While the world keeps trading freedom for convenience, Beldex is building a future where users control their data, their identity, and their digital lives. @BeldexCoin The movement is already here. Are you ready to be part of it? 🌐🔐 #Beldex #Privacy #Web3 #Blockchain

The bonus mechanism is out. TL;DR Everyone gets a 25% unlock at TGE. On top of that, participants will receive additional bonus tokens fully unlocked at TGE, based on their original committed amount before pro-rata dilution. How many bonus tokens do I get? Check out the chart below for the exact formula and allocation examples. Here, x is your original committed amount before pro-rata dilution, and 2,472 represents the total number of Axis believers who decided to ape in even with strict unlock terms. @axisrobotics

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Coverage from 36Crypto: nGRND × Predictfully. Predict the match. Don’t learn a seed phrase first. Sports activity can now count toward nGRND Participation Streams — recorded on a DSBT, converted into Reward Points inside the Gold Protocol ecosystem. Familiarity over education. Participation over passive holding. 36crypto.com/ngrnd-gold-prot… Get grounded 🟡 @36Crypto1 @nGRND_io @nGRNDesg @DigItGoldGame @GAMEEToken @predictfully_ @Astra__Nova

Most Web3 still asks people to start with a wallet. This partnership starts with a match pick. @CoinMarketCap on nGRND Gold Protocol × Predictfully: Free-to-play sports predictions. No stake. No odds. No house. Activity that can count toward the Staking & Rewards Ecosystem. Eight Participation Streams. One DSBT record. Rewards designed around participation — supported by Preserved Gold, not another token-only loop. “It is not simply about owning a token — it is about what people can do with it.” — David Lucatch, Chair, nGRND Group Read it: coinmarketcap.com/community/… @predictfully_ @nGRNDesg Get grounded 🟡 @nGRND_io @nGRNDesg @DigItGoldGame @GAMEEToken @predictfully_ @Astra__Nova