🆕 CrowdStrike is acquiring Onum to supercharge autonomous cybersecurity... with real-time data pipelines. If Falcon SIEM is the engine of the modern SOC, Onum is both the pipeline + filter — streaming high-quality, filtered fuel quickly into the engine to drive more efficient and superior performance. Onum delivers transformational advantages across three critical dimensions: ⚡ Speed: Delivers 5X more events per second than its nearest competitor and processes security and observability data in real-time versus legacy batch and store methods. ⚡ Cost: Smart filtering reduces data storage costs by 50% through intelligent optimization. ⚡ Superior Outcomes: Real-time pipeline detection starts before data enters the Falcon platform, delivering up to 70% faster incident response with 40% less ingestion overhead. The future of cybersecurity is here – built on real-time, high-fidelity data. 👉 Learn more:show more

Introducing Grayscale Space and Time Trust $SXT 🪐 ,... backed by M12 - Microsoft's Venture Fund and integrated with Microsoft Fabric*, connects the power of decentralized blockchains with the speed and flexibility of traditional databases through: 🏢 Enterprise-Readiness: Backed by Microsoft and integrated into Microsoft Fabric*, allowing developers to easily access data from networks like #Bitcoin, Sui, and #Ethereum. 🖊️ Proof of SQL: Verifies queries on tamperproof data using zero-knowledge proofs without needing to rerun or reveal underlying data. ⏳ Decentralized + Scalable: Blends blockchain security with traditional database speed and accessibility for reliable, real-time data access. ✅ Verifiable Data: As we enter the new age of AI, transparency is paramount. Space and Time enables verifiable data, helping ensure we can trust the datasets that power AI systems and smart contract applications. See important disclosures and learn more about the Grayscale Space and Time Trust: *Source: Space and Time press release, May 20, 2025.show more

Behind every OptimAI Node is a mission far greater... than rewards: 🔸To build a decentralized Reinforcement Data Network 🔸To unlock Agentic AI for everyone—not just a privileged few 👉OptimAI Edge Node: Our architecture is now in motion: 🔸OptimAI DePIN to power decentralized infrastructure 🔸OptimAI DeHIN to amplify collective intelligence 🔸Reinforcement Data Layer to train agents smarter, fairer 🔸Compute Layer to enable real-time AI at the edge 🔸OptimAI Chain to govern everything, transparently and efficiently OptimAI Agent Studio, Agent OS, Data Engine, Compute Engine: all part of what we’re building next. This is a network built by people, for people. And you’re not just early, you’re essential. Let’s keep mining, contributing, earning rewards in return, and rewriting the future of Decentralized AI. The future is Agentic. The fuel is your data. The power is decentralized. One Node. One Data. One Agent at a Time. #BUIDL with us!show more

⚡ CrowdStrike Falcon® Complete MDR sets a new benchmark... with the fastest mean time to detect (MTTD) at only 4 minutes in the new MITRE Engenuity ATT&CK® Evaluations: Managed Services, Round 2 detection-only test. 💻 Learn more on our website:show more

Supra is excited to announce its integration of our... decentralized Oracle (DORA) price feeds on the Linea.eth Mainnet, a powerful Ethereum Layer-2 developed by Consensys.eth 🚀 This new integration fuses Supra’s cutting-edge data service technology with Linea’s robust and secure network infrastructure🌐 This integration will enhance the functionality and reliability of #dApps on the Linea Mainnet, offering users and developers real-time, accurate, and decentralized price feed data📊 Click here to learn more:show more

LTX 2.5 JUST WENT FASTER THAN REAL TIME LTX... (LTX.io) is already one of the world's most widely used open video models. We just made its latest release, LTX 2.5, fast enough for rapid iteration and affordable enough for production at scale. It’s live on TensorScaleAI now, generating a 5-sec 1080p video in just 3.12s at $0.04 per second. That's faster than real time, at a fraction of the cost! For creative teams, that means less waiting time, more ideas explored, and lower production costs. For robotics and physical AI teams, that means more data generated at scale, more scenarios tested, and shorter development and deployment cycles. Request early access today and we’ll get you onboarded! (link:show more

🚀 Free High Quality Satellite Imagery With Playback Today,... we're introducing beautiful high quality satellite imagery from the GOES weather satellites. Free for all users: • Access to all 16 bands (L1b products) • Coverage across CONUS, both Mesoscale sectors and Full Disk • Playback with up to 15 frames • Real-time updates • Inspect the data directly on the map Plus subscribers unlock more: • Imagery displayed on a 3D globe (Globe Projection) • Split View to compare bands side-by-side • Playback with up to 50 frames • Smoothing options: see the raw data or a polished look • RenderStream for faster loading when in low cell service areas Tropical season is now here - stay one step ahead Available on: iOS: Android: Browser: And to Plus subscribers using our Windows/Mac Appshow more

Boeing is researching innovative ways to tackle turbulence, with... two new patented systems targeting both detection and airflow control. 🔹 US4258823A – System for Measuring Turbulence Remotely: Uses advanced electromagnetic sensors to detect turbulence ahead, giving pilots early warnings and feeding data into a real-time 3D global turbulence map. 🔹 EP1842081A2 – Inflow Turbulence Control Structure: Simulates real in-flight turbulence on the ground to make engine and airframe testing more realistic. What's the worst turbulence you've ever experienced on a flight?show more

🚨 The CrowdStrike 2026 Global Threat Report is here.... In the age of AI, even less sophisticated threat actors can execute complex attacks, and advanced adversaries have become dramatically more dangerous. This year’s report exposes the latest tradecraft of the evasive adversary, who is supercharging attacks with AI and posing an unprecedented threat. Attacks by AI-enabled adversaries increased by 89% in 2025. The average eCrime breakout time plummeted to just 29 minutes. That’s a 65% increase in speed from 2024. And with adversaries using AI to accelerate their attacks and move fluidly across domains, they are evading detection more effectively than ever. Get the latest threat intel findings here:show more

🚨 Cyclonic Storm 'DANA' Update 🚨 Cyclonic Storm 'DANA'... is approaching the coasts of Odisha and West Bengal. 🌊 ISRO’s EOS-06 and INSAT-3DR satellites have been tracking the storm since October 20, providing real-time data to aid disaster management efforts. Early Detection: EOS-06 detected ocean wind patterns, offering valuable lead time for safety measures. Continuous Updates: INSAT-3DR delivers real-time cloud data, helping authorities make informed decisions. 🎥 Watch the Animated Video: See how Cyclone 'DANA' evolved from October 19-23. ➡️ Learn more at: This aligns with the Hon'ble PM's vision of a safer, resilient India and supports #AatmanirbharBharat by using indigenous technology for public safety. 🌍 #ISRO #DigitalIndiashow more

A Letter to Our Community: The Road Ahead for... Robotics To our Community and Partners, As we step into 2026, our mission at Axis is clearer than ever: Constructing the definitive End-to-End Scaling Layer for Robotics. Our goal is to accelerate the transfer of diverse human intelligence into Robotics General Intelligence (RGI). By owning the critical path of intelligence creation, we are turning the physical limitations of robotics into a scalable, software-driven future. Here is our strategic outlook and roadmap for the year ahead. The Core Thesis: Simulation is the Only Way Out The path to RGI is currently blocked by Data Scarcity, Generalization Fragility, and Hardware Fragmentation. At Axis, we believe Simulation is the only way out. Our Simulation Data Platform and Data Augmentation Engine transform raw data into "Synthetic Gold". Backed by academic milestones like Roboverse, Skill Blending, and GraspVLA, we have proven that pure simulation can achieve the generalization required for the real world. We don’t just collect data; we architect it. The Engine: Why Crypto? We believe RGI should come from all, not a few. Crypto is not just a feature; it is the primitive that powers our entire ecosystem flywheel: - Incentive Mechanism: Democratizing contribution and rewarding the trainers and developers. - Assetization: Turning proprietary data and refined models into liquid, ownable assets. - Verifiable Workflow: We are opening the "Black Box" of AI. By bringing total transparency to the Task Generation → Data Collection → Model Training pipeline, we ensure every byte of intelligence is verifiable, traceable, and secure. 2026 Strategic Deliverables This year, we are committed to delivering three foundational pillars: - The World's Largest Training Dataset for Robots: A robot training set—diverse, high-quality interaction data at an unprecedented scale. - A Robotics Foundation Model: A universal robotic brain trained on our pure simulation and synthetic data, capable of robust cross-embodiment transfer and open-world adaptability. - Evolvable Robot Hardware: Robots deployed with Axis models that autonomously evolve through continuous interaction, turning every deployment into a self-improving node within our RGI network. The Ultimate Vision We are building more than models; we are architecting the Distributed Machine Economy. A future where every dataset, model, and robotic embodiment is a verifiable asset in a global, autonomous network. Thank you for building the future of intelligence with us✌️📷show more

What if crypto research was as easy as chatting... with ChatGPT, but powered by real market data👑 Introducing CMC AI, a powerful new tool from CoinMarketCap that combines the speed of AI with the depth of live crypto data. It delivers fast, data-backed answers to your questions: ✅ Want to know why Bitcoin's price is rising? ✅ Curious about the latest news on your favorite cryptocurrency? ✅ Need sentiment analysis? It pulls real-time data and explains it in seconds. But it goes far beyond basic Q&A. In the future, you’ll be able to ask anything! For example, you could ask it to: – Discover undervalued tokens based on volume, MC, and sentiment. – Compare Layer 1s or L2s by adoption, speed, and dev activity. – Detect rug-pull risk via wallet distribution and tokenomics red flags. – Break down your portfolio by risk, correlation, and potential return. – Explore new use cases in DeFi, AI, RWA and DePIN And much more! 🔗Try it here: CMC AI changes how you learn, think, and act in Web3🧠show more

What Actually is Sei Network's “Giga” Upgrade? Sei Network’s... (Sei) Giga upgrade is a major overhaul designed to make the network faster, more scalable and better suited for high-performance onchain trading. Put simply, Giga is rebuilding three critical parts of the blockchain: consensus, execution and storage. (1) The first track focuses on consensus, with upgrades such as Autobahn designed to improve how Sei validators agree on the state of the chain. (2) The Ares upgrade targets execution, the part of the blockchain responsible for actually processing transactions. (3) Eidos focuses on storage, which is becoming increasingly important as blockchain throughput rises. Why does storage matter? Every transaction a blockchain processes has to be recorded. If the database cannot write data as quickly as the network executes transactions, higher throughput eventually becomes meaningless. Eidos is designed to solve that bottleneck. (4) Sei plans to replace the traditional Merkle-tree structure used for EVM state with FlatKV, a flat key-value database where updating one piece of state requires essentially one write. A lattice hash, or LtHash, is then used to maintain a verifiable fingerprint of the entire state without repeatedly recalculating an entire hash path. (5) Eidos also separates live EVM state from other blockchain data. This means transactions accessing current state no longer have to compete with historical data for the same database resources. (6) Sei is also introducing LittDB-backed storage for blocks and receipts. These records are written once but queried repeatedly, making them a different workload from constantly changing blockchain state. Older historical data will eventually move away from active nodes into archival storage, allowing nodes to focus their resources on the data needed for real-time operations. The interesting part is how Sei plans to deploy all of this. Instead of shutting down the network and migrating the entire database at once, Eidos is designed to migrate storage while Sei continues producing blocks. The old and new systems can run side by side during the transition, with data moved in batches and integrity checks performed throughout the process. The first phase arrived on Sei mainnet with the v6.6 release in August 2026, beginning the separation of EVM state and introducing improvements to the pruning process. The broader Eidos architecture, including FlatKV, LtHash, the new receipt store and off-node archival storage, is expected to arrive through subsequent releases. Sei’s ultimate Giga target is 200,000 transactions per second. But reaching that kind of execution speed requires more than a faster transaction engine. The blockchain also needs a storage system capable of keeping up. That is essentially what Eidos is trying to build. Giga is not just about making Sei execute transactions faster. It is about rebuilding the infrastructure underneath that speed so the network can actually sustain it.show more

Building RAG is easy. Parsing real, unstructured data is... the hard part. Most tools fail when documents get complicated. RAGFlow by InfiniFlow makes the entire process visual and flawless 🔥 It is an (open-source!) engine built specifically to find the exact needle in a data haystack, even across literally unlimited tokens. The platform comes packed with: → "Quality in, quality out" parsing for highly complex formats → Multiple recall paired with fused re-ranking → A built-in Python and JavaScript code executor for agents → An orchestrable ingestion pipeline Here's why it stands out: 1️⃣ Structural Understanding Instead of just scraping text, it handles tables across pages, scanned copies, slides, and Excel sheets natively using deep document understanding. 2️⃣ Grounded Citations Every answer is verifiable. The UI highlights the exact chunks used, allowing you to trace any response directly back to the source material. 3️⃣ Enterprise Synchronization Keep your context constantly updated with native data sync from Google Drive, Notion, Discord, and Confluence. Stop letting bad document parsing ruin your RAG systems. Best part? It's 100% Free and open-source. Link to the repo in 🧵↓show more

THIS GUY GOT SICK OF UK TRAIN STATIONS HIDING... THE PLATFORM NUMBER UNTIL THE LAST SECOND, SO HE VIBE CODED AN APP THAT PREDICTS IT BEFORE THEY REVEAL IT if youve ever stood in a crowded station like london euston, you know the pain the platform stays hidden until 15 minutes before boarding, then it flashes up and hundreds of people sprint for the same gate so he built something that fixes this: > a clean departures and arrivals app pulling live data straight from the network rail apis > live train tracking so you can watch where your train actually is on the route and whether its running on time > the main feature is a predictive engine that guesses your platform before the station reveals it, and its right about 75% of the time heres how it predicts: every time a train finishes its journey, it logs which platform it actually pulled into and compares that to the platform network rail originally advertised it saves every one of those comparisons, and over time it builds up enough history to predict the platform with a real confidence score he built the whole thing with claude, mostly opus with some fableshow more

We're excited to announce that the team has selected... a site with a high voltage, direct-access substation for the world’s first tokenized data center. This site, powered by 70 MVA transformers stepping down 138 kV transmission to distribution, will consume in under 10 hours the equivalent of all 1.5 million miles of OpenVPP vehicle trips to date. The potential to turn this new class of infrastructure into an Open Virtual Power Plant with dynamic demand response and instantaneous revenue grade settlement is a cornerstone of what we're building at OpenVPP. Energy, compute, and digital capital are converging in real-time, right here. $OVPP is bringing the world’s first data center onchain.show more

🇷🇺 Russia's new eye in the sky: Delta-T-M drone... hits 400 km/h Russia's Center for Autonomous Robotic Systems has unveiled the Delta-T-M, a high-speed surveillance drone with a high-sensitivity thermal imaging system and optical camera. Key caps: 🔸Catapult launch and parachute recovery 🔸Automatic target tracking – locks onto suspicious objects and follows them until interception 🔸Day & night operation 🔸Detects micro-oil leaks, overheated insulators, and pipeline pressure drops 🔸40-minute flight time – covers vast stretches of pipelines, roads, and power lines 🔸Real-time data transmission The drone, already in serial production, is built to protect mining plants, oil and gas sites, energy infrastructure, and assist in search-and-rescue and firefighting operations.show more

This Huawei ad I just walked by at Munich... airport hit me like a ton of bricks. Huawei watch? HUAWEI HEALTH? Delivering your intimate, real-time location, behavioral & physiological data (heart rate??) directly to the CCP is absolutely insane. I hadn't even considered how many of these watches must be on people hands right now, and how powerful a tool of espionage (the next-level invasive data gathering!) the CCP has at its disposal. Grok, what countries have the biggest usage per capita of huawei watch? Also, considering what I wrote earlier in this post, and given that Huawei is bound by Chinese law to share all data it has access to with the the Chinese government (and not disclose it is doing so), what impact is there for personal privacy and security for users of Huawei watch?show more

The ChainGPT AI skill for Claude Code is one... of the most complete Web3-AI dev environment on the market. Let me prove it. Open Claude Code with the installed skill, and you have direct access to: • Built-in wallets across 33+ chains • DEX trading, perps, and Hyperliquid execution • Smart contract generation and auditing • NFT generation across 22 chains • Real-time crypto news API • Fine-tuned crypto LLM with live on-chain data Every part of the Web3 stack, one prompt away. Here's what that looks like in practice. I built a real-time on-chain whale tracker in a single afternoon. It's called Whale Watch. → Pulls live swap data from Ethereum DEX pools → Filters every trade over $100K → Runs each whale through the ChainGPT LLM for a trader-grade live analysis → Routes the user into 1inch with the token pair pre-loaded if they want to follow the trade Real data. Real AI. Real action layer. The skill wrote the server. It hit the right APIs. It generated the UI. It debugged itself when something broke. The only thing I supplied was the idea and the polish. Open Claude Code. Ship something with ChainGPT AI this weekend! /plugin install ChainGPT-org/chaingpt-claude-skillshow more

Trading 212 now has a voice, and it's pretty... smart 🤖 Stay up to date with our brand-new AI analysis tool. This latest feature uses OpenAI to analyse raw market data in real time and transforms it into a smart summary, available instantly to read or listen 🎧 The data is updated multiple times a day and takes various factors into consideration to provide you with a summary of the current sentiment, market trends, and fundamentals. Currently available only for selected stocks. The data is generated by an AI automated tool. It does not reflect human opinions and should not be considered professional advice. AI analysis is experimental, and Trading 212 does not guarantee its accuracy. Not investment, legal, or tax advice. Do your own research or consult a qualified advisor.show more