THE @axisrobotics PLAY AXIS ROBOTICS - COULD OCTOBER BE THE BREAKOUT MONTH? The latest post from Hack VC about #axisrobotics caught my attention even more. Axis is building a data engine for Physical AI, where hundreds of thousands of contributors generate robot trajectories through simulation. That data is then processed and used for training, helping robots adapt better to the real world. And Hack VC is also the lead investor in Axis’ $12M Seed round. But right now, what interests me most is the timing. 🔥 Kaito campaign is running 🔥 Community is still very active 🔥 Axis Hub keeps adding tasks 🔥 Partnerships and the data engine continue expanding Looking at some previous Web3 projects, a long community/campaign phase can sometimes happen before the project moves into the token phase. That doesn't mean Axis will definitely TGE in October. But if the Kaito campaign ends and Axis starts moving into a new phase, October could become a very interesting period to watch. Then there is the market. BTC is currently around the $78K area, close to the $80K level many people are watching. If the market becomes more bullish in October, the timing for a Physical AI + Robotics + Data narrative could be pretty interesting. And I'm paying special attention to Hack VC. They previously led the Series A of Grass, another project focused on building data infrastructure for AI. The thesis is quite similar: Grass → Internet Data → AI Axis → Physical Data → Robotics / Physical AI Different markets, but both turn distributed community contributions into valuable data infrastructure for AI. Grass already showed how powerful this narrative can become. Now Axis is betting on the next wave: Robotics + Physical AI. So instead of waiting until the timeline is full of FOMO, I'm choosing to stay active early. Do the tasks. Build the contribution. Watch the development. And let the market decide the rest. 🦾🔥

Hoe ver kan TRON zijn marktaandeel in stablecoins uitbreiden in de volgende cyclus? 👀 🔥 @trondao heeft net een stijging van $903,4 miljoen in stablecoin marktkapitalisatie geregistreerd in slechts 1 week - de leider onder alle blockchains die door Token Terminal worden gevolgd. Dit is een opmerkelijk cijfer in een context waarin stablecoins steeds meer een belangrijke infrastructuurlayer van de cryptomarkt worden. 💰 +$903,4M stablecoin marktkapitalisatie in 1 week 🥇 #1 onder de netwerken die worden gevolgd 🌐 Versterkt de rol van TRON in het wereldwijde stablecoin-ecosysteem Het opmerkelijke is dat dit niet alleen een verhaal is over het aantal accounts. TRON heeft nu meer dan 401 miljoen accounts, samen met meer dan 94 miljard USD aan USDT op het netwerk. @justinsuntron

I’ve been using AI almost every day — searching, creating, coding, learning. But @conso_xyz made me look at that activity differently. With CONSO, everyday AI usage can become part of your reputation and earn ZAPs. Use AI → build your track record → mine ZAPs. ⚡️🐻‍❄️ The idea is simple, but powerful.

TRON heeft meer dan 401 miljoen accounts bereikt 🚀 401 miljoen accounts en de groeisnelheid is sneller dan ooit. TRONSCAN heeft zojuist geregistreerd dat het totale aantal accounts op het TRON-netwerk de 401 miljoen heeft overschreden. Wat opmerkelijk is, is niet alleen het aantal, maar ook dat de tijd tussen mijlpalen steeds korter wordt: 📌 100M → duurde ongeveer 4 jaar 📌 200M → december 2023 📌 300M → april 2025 📌 400M → 23 augustus 2026 🔥 401M → slechts enkele dagen daarna Bijzonder is dat de laatste 100 miljoen accounts in slechts ongeveer 16 maanden zijn toegevoegd. Maar accounts zijn slechts een deel van het verhaal. 💵 TRON verwerkt momenteel meer dan 51% van de circulerende USDT 💰 Het USDT-saldo op het netwerk is meer dan 94 miljard USD Dit toont aan dat TRON van @justinsuntron niet alleen mooie cijfers creëert met nieuwe adressen, maar ook een belangrijke rol blijft spelen in betalingen en geldtransfers met stablecoins. 401M vandaag. De interessante vraag is: hoe snel zal 500M komen? 👀

The more I explore @termix_ai, the more I like one simple idea: “There’s an agent for that.” Apps are tools we operate. Agents can be workers we give a job to. On TermiX, you can imagine: → Audit a contract → Research a token → Run a strategy → Write content → Analyze data What makes it interesting is the workflow around the agent. You can check its track record, hire it, use escrow, verify the work, and settle onchain. So it’s not just: “Here are hundreds of AI agents.” It’s: “Here are specialized workers — and here’s their track record.” That’s where TermiX starts to feel different. Apps give us tools. Agents could give us workers. TermiX is building the marketplace for them. 🤖⚡️ We love AI Agent

What makes VRF-based PoS interesting? It can introduce stronger randomness into validator selection while improving fairness and security. @BeldexCoin is researching this architecture ahead of its upcoming Consensus Hardfork. ⚡ $BDX 🔐

AXIS ROBOTICS: DON’T JUST FARM POINTS. BUILD THE DATA. 🤖 At first, doing tasks on @axisrobotics can feel like another points campaign. But when you look closer, there is something much bigger happening. 3M+ robot trajectories from 123K+ contributors. Every task completed by the community can become behavioral data for Physical AI: → How robots grasp and place objects → Different movement strategies → How they recover from failures → Different objects, positions and environments → Verified trajectories that can be evaluated The bigger idea is pretty simple: Human actions → Data → Training → Feedback → Better models → Better data And this is why I don't think new members should only focus on the easiest tasks. Once you understand the controls, start trying harder tasks. More difficult and well-executed trajectories can be more valuable. A few things that have been working for me: ✅ Understand the camera and interaction points first ✅ Read the Goal Reference carefully ✅ Save checkpoints on longer tasks ✅ Move fast, but don't make unnecessary actions ✅ For Post-training, don't takeover too early — wait for the moment that actually needs correction ✅ Try different types of tasks instead of repeating the same one For example, with some Microwave tasks, if the object is small or thin, placing it near the required area can sometimes be better than trying to push it too far inside. Once the completion condition is triggered, stop. Don't overdo it. The more I use Axis, the more I see it differently. It's not just about farming points. It's about turning millions of small human actions into useful experience for robots. So if you're new: Don't just farm more. Learn the system. Take harder tasks. Create better trajectories. In the long run, smarter contribution should matter more than simply doing more tasks. 🦾 #PhysicalAI #Robotics #AI