invest with great utility. 758946

Republic of the Philippines
Joined September 2018
🏆 THREE CATEGORIES. THREE SHOTS AT MAKING HISTORY. And if we win, we’re celebrating with a 500 USDT GIVEAWAY! 🔥 We are competing at the @PlayToEarn Blockchain Game Awards 2026 for: 📱 BEST MOBILE GAME 🖥️ BEST BROWSER GAME 🏆 GAME OF THE YEAR Last year, we took home two awards. This year, let’s go for all three! Until November 13, you all can make some noise! 🗳️ VOTE FOR US NOW: playtoearn.com/awards/2026?i…
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Every release makes the machine on your desk smarter. That's how an open intelligence network grows, one node at a time. 🍎🤖
Rapid-MLX 0.16.9 is out 🐆 ⚡ 47× faster first token on repeated long prompts. A ~32K-token prompt that took 18.6 s to start now starts in 0.39 s. 🔥 Flint 40B runs on a 36 GB Mac at 131 tok/s, with tool calls and reasoning built in. 👉 rapid-mlx serve flint-40b-a2.5b-4bit 👥 Parallel chats decode together: 2× aggregate throughput on Qwen3.8-27B. 👉 rapid-mlx serve qwen3.8-27b-4bit 🧠 New: Nemotron 3.5 Bolt E4B, with tool calls and thinking controls. 👉 rapid-mlx serve nemotron-3.5-bolt-e4b 🛠 One command to connect your coding agent, offered as soon as the server is ready. 👉 rapid-mlx launch codex Give it a try: rapidmlx.com/download
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Security has been core to the IoTeX L1 since mainnet launched in 2019. Now we're bringing the security research community in. The IoTeX L1 now has a formal vulnerability disclosure policy: private reporting, clear scope, safe harbor, and public credit for researchers. Come break things (on devnet). 🛡️ github.com/iotexproject/iote…
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Ready. Set. Capture. 🎥🟣 Before you start a task, check your setup: ✓ Secure your head mount ✓ Keep your camera view clear ✓ Make sure your hands and actions are visible A little preparation goes a long way toward capturing useful training data for Physical AI. V3 Early access are rolling out. Stay tuned for updates.
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Simple for humans. Complex for robots. 🪑💜 Assembling a chair may feel effortless to us, but for a robot, every movement holds information, from grip and force to object orientation, timing, and sequence. Teaching Physical AI to understand the real world starts with capturing the details humans rarely think twice about. The action is simple. The data behind it isn’t.
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Panoorin ninyong mabuti kung paano kumilos ang Dilawan/Pinklawan, Leftists, at pro-LP oligarchs na magamit muli si Jr. para buhayin ang partido nila. Sabi nitong vlogger, hinihintay nila ang Martial Law at cha-cha para ulitin nila ang playbook na ginawa sa tatay niya.
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IIP-59 is live, so we visualized it. Every dot in this video is a real staking reward payment on the IoTeX L1, replayed block by block from on-chain data. Nothing is simulated. Since the Zanzibar upgrade, the protocol has paid 432,542 IOTX to 13,846 voters across 46 delegates, in 34,485 payments. No claims. No manual payouts.
✅ Zanzibar is officially live on the IoTeX mainnet! The headline: Staking rewards are now paid directly by the protocol. Thanks to IIP-59, voter rewards are computed and distributed on-chain every reward era. No off-chain services, no middlemen. Every payout is fully verifiable by anyone, directly from the chain. The first on-chain distribution lands tomorrow. 🗓️ Zanzibar also hardens our consensus ahead of BLS signature aggregation via proof-of-possession checks on delegate keys. A massive thank you to all the delegates and node operators who upgraded on time. 🙏 Less trust. More verification.
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Useful training data comes from everyday actions, even preparing a meal. 🍳 From picking up ingredients to chopping, stirring, and placing objects, every movement can help robots better understand how people interact with the physical world. Real-world actions. Structured data. Smarter Physical AI.
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Zero-shot. Multimodal. Calibrated. $14 per million images. Our Trio-Spark model reads a highway frame in one forward pass and knows what the truck is hauling, and how sure it is. IoTeX has always been about making machines smart. Now they understand what they see, on an open, verifiable intelligence network.
We showed our multimodal fast-decision model Trio-Spark random photos of US trucks and asked one question: "What is it hauling?" • Zero training. Zero examples. • 83% accuracy across 7 trailer types. • 100% hazmat placards caught. • Cost: Just $14 per MILLION photos. 🤯 Extracting equipment, hazmat, or load status on every highway frame used to be cost-prohibitive. Now, Spark delivers calibrated probabilities in a single pass, letting your pipeline automate the confident calls and only route edge cases to humans. Run a camera network? Send us 10k labeled images and we'll prove the accuracy and cost on your own data. Try it out: platform.machinefi.com/spark
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To understand how humans interact with the world, start with the view from their eyes. 👀 Head-mounted capture records tasks from a first-person perspective, capturing the movements and interactions that help robots learn from real-world demonstrations. Different perspective. More meaningful data. That’s how we help power Physical AI. 🟣
🤖 Made with AI
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The real world doesn’t happen inside a lab. Neither should all the data used to teach robots. 🌍 From homes to warehouses, everyday human activities create diverse data that helps robots learn to navigate the physical world. With CapturGO, contributors everywhere can help build the foundation for Physical AI🤖
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AI can describe how to make coffee. But can a robot actually make it? ☕️ That’s the real-world data gap. Physical AI needs more than information. It needs real-world data to learn how to interact with the world. That’s where CapturGO comes in. 🌍
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IoTeX started with a simple bet: machines would get smart. Now they're starting to understand. Trio-Spark watches a front door and knows the difference between a package, your kid coming home, and a stranger with a flashlight at 2 AM. Not a smarter alert. A better decision. Machines that understand, not just detect.
Your doorbell cam doesn't need to ping you for everything. We pointed Trio-Spark at a front door for a day: 📦 package dropped off → "Package at your door" 😊 family walks in → "Welcome home," no alert 🚨 someone with a flashlight at 2 AM → alert
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120B models on a Mac Studio. 0.43 GB models on a MacBook Air. Rapid-MLX keeps turning every Mac into a node in an open intelligence network. 🍎⚡
🚀 Rapid-MLX 0.16.2 is out! Bringing massive AI power locally to your Apple Silicon Mac. Highlights of this release: ✨ @NVIDIAAI Nemotron 3.5 (Bolt & Super VL up to 120B) support w/ reasoning & tools! 🌱 @PrismML Ternary Bonsai 2 support for small-memory Macs! 🧞 @googlegemma Gemma 4 TTFT ~2x improved!
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Most AI agents still waste precious compute “thinking out loud” — generating walls of text just to make a binary decision. That architecture breaks the moment intelligence moves to edge devices and robotics. Trio-Spark v1.3 changes the paradigm: • Pure SOTA multimodal System-1 decision engine: zero generated tokens, single forward pass • 90.9% across 10 benchmark tasks, #1 on 4 major benchmarks outperforming top peers • Near-zero calibration error (0.019) — real confidence you can actually trust This is how IoTeX powers autonomous, verifiable intelligence across robots, machines, and decentralized agents.
Trio-Spark v1.3 is live ⚡ The SOTA System-1 decision model for autonomous agents. Most agent pipelines burn compute generating text just to pick an action. Spark turns action selection into a single forward pass: zero generated tokens, perfectly calibrated confidence. 🏆 SOTA Performance Across 13 Benchmarks: • 90.9% on the ten-task panel (+7.8% over v1.0, overtaking Jev 1.13 and level with Clef) • #1 among all 7 models on PubMedQA, RTE, TweetEval, and SNLI • Calibration error crushed to 0.019 (vs 0.234 in v1.0) — true confidence you can actually threshold Upgrade is drop-in: same API, identical limits, text & multimodal vision support. Just point to "model": "trio-spark-v1.3". ⚡ Get 100 free decisions: platform.machinefi.com/spark 📖 Full benchmark report & transparency note: machinefi.com/blog/trio-spar…
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Zanzibar 硬分叉获得全生态支持。🏗️ @binance 正式宣布支持 IoTeX 网络升级。为保障升级平稳安全, $IOTX 充提服务将于北京时间 10月19日 09:00 起暂停。 详情如下 👇
The Zanzibar Hard Fork is getting full ecosystem backing. 🏗️ @binance has officially announced their support for the IoTeX network upgrade on Oct 19. A brief pause on $IOTX deposits/withdrawals will occur at 01:00 UTC for a safe and smooth upgrade. Details below: binance.com/en/support/annou…
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Thank you, @patrickjwitt, for championing the US as the crypto capital of the world. 🇺🇸 Your work helped give builders the clarity and confidence to build here. We're proud to be one of them, building an open, verifiable network for intelligence. Best of luck in what's next.
"The American digital asset industry wouldn’t be where it is today without @patrickjwitt, who worked at the highest levels of government to make the United States the crypto capital of the world. He never lost sight of what American leadership in this technology demanded, and when the issues got hardest, he was the one who brought every side to the table and kept them there." - @lindsayfraser0 theblock.co/news/regulation/… Reporting by @TheBlockCo's @ForTheWynn_
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STRINGS NETWORK | NETWORK UPGRADE UPDATE Server cleanup is nearing completion. We’re finalizing the removal of inactive accounts while upgrading our infrastructure to prepare Strings Network for its next phase of growth. Once completed, the mining rate will dynamically increase to reflect the improved network conditions. The foundation is getting stronger. The network is evolving. The next phase is approaching. Keep mining. Stay connected. Build with Strings. Thank you for your continued trust and support. The journey continues. ⛓️
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If you could teach a robot one thing you do in everyday life, what would it be? Cooking? Fixing a bike? Cutting hair? Packing an order? That’s the kind of real-world activity CapturGO V3 is built to capture. Drop yours below 👇
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⚡ @iotex_io chalked up 11,869 transactions on October 12. That was its busiest day this week. A good day for the IoTeX community. 📊 chainspect.app/chain/iotex?r…
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