Hardware design is having its ChatGPT moment. A fully... detailed, complex split-system HVAC unit designed entirely using AI on our platform for under $8. Start generating with CadXStudio. 🛠️🚀 #AI #HardwareDesign #CAD #Engineering #Innovation #GenerativeAI #DeepTechshow more

Korean robotics leader ROBOTIS has unveiled the 'AI Sapiens'... humanoid, a direct challenge to Unitree’s G1 and R1 models. - 4'3" (130 cm) tall and weighing 34 kg. - Features 23 DOF, powered by the brand-new Dynamixel-Q actuators. The robot is a fully open-source hardware system designed to serve as a reliable hardware platform for advanced Physical AI research. AI Sapiens is slated for an H1 2026 launch, with a price point expected in the mid-to-low 10 million KRW range (~$7,000 – $8,700 USD).show more

💎 How to buy $ARQx? 💎 Our ARQx Token... is LIVE on Uniswap! 🦄 💍 The world’s first AI + RWA platform for custom luxury jewelry is here! 🔗 Built for mass adoption, already transforming the jewelry industry. 🛍 Real e-commerce, real innovation—start creating today. ✨ Replace shopping with AI-driven design and worldwide delivery. Own the future with $ARQx.show more

This is Rivian's next-generation Autonomy hardware and software platform,... which the company says is a "self-improving, end-to-end AI system for our autonomy platform that scales." • 11 cameras (65 total megapixels) • 5 radars • New front-facing LiDAR • Powered by a new in-house designed chip called RAP1 (5nm TSMC) Rivian also detailed its software-first approach to autonomy, powered by the new Rivian Autonomy Platform and an end-to-end data loop used for training. The company introduced its Large Driving Model, a foundational autonomous model trained like a Large Language Model: "Utilizing Group-Relative Policy Optimization, the LDM will distill superior driving strategies from massive datasets into the vehicle."show more

Excited to launch a new way to upskill with... AI agents. This is how we are making it possible for anyone to learn to build with coding agents. To start, we are launching 4 new hands-on labs on the following topics: - Agent Skills - Agentic Image Generation - 30 Days of Hermes Agents - Prompt Engineering with Agents I am confident that with our new DAIR.AI platform, anyone can learn to become a top AI builder by building and acquiring highly-demanded AI skills. And there is a lot more landing in the coming weeks.show more

🛠️ What if a robot could invent its own... tools. And teach itself how to use them? That’s exactly what VLMgineer does: a new framework that lets Vision Language Models (VLMs) design physical tools and the actions to use them, entirely on their own. No templates. No human demonstrations. Just raw, AI-driven creativity. Why it matters ✅ Co-designs tools and actions together using VLMs, ensuring tight coupling between form and function ✅ Uses VLM-guided evolution (not random search) to refine designs intelligently ✅ Outperforms human-designed tools by +64.7% in task success across 12 RoboToolBench challenges ✅ Produces better-than-everyday tools for real manipulation tasks—measured in success rate and elegance It builds on the emerging trend of large-model-guided evolutionary design (like Eureka and AlphaEvolve) and brings it into physical robotics. It opens the door to general-purpose, automated hardware design, no strong priors needed. Code & paper: —- Weekly robotics and AI insights. Subscribe free:show more

5-axis 3D printing is pushing additive manufacturing beyond traditional... limits. 🤯 This helical coil was produced using the 5-axis system developed by Generative Machine Company, with Aibuild software generating the synchronized multi-axis toolpath. The machine and software work together to dynamically control the print path, layer height and speed, allowing complex geometries to be produced without traditional support structures. Aibuild and Generative Machine Company are showing what happens when advanced software and multi-axis hardware are designed to work as one system. Could 5-axis printing become the future of complex-part manufacturing? 👀 🎥 Media: Aibuild × Generative Machine Company ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Aibuild #GenerativeMachine #GenerationOne #5Axis3DPrinting #AdditiveManufacturing #3DPrinting #Robotics #AdvancedManufacturing #Engineering #Manufacturing #CTORoboticsMedia show more

this creator just built a zero-delay auto-aim system on... an $8 microcontroller he deployed a custom local AI algorithm on a cheap ESP-32 to track human movement with absolute 0-pixel accuracy. the system completely eliminates standard computation delay. it processes the bounding box and moves the sniper reticle instantly, locking onto the target in real time. the next step is hooking it up to a physical robotic arm. it proves you don't need a massive GPU rig to run complex computer vision. 1. runs locally on a microcontroller 2. local AI inference for zero latency 3. 100% targeting precision when an eight-dollar chip can track movement with zero latency, AI becomes dangerous local infrastructure. this article breaks down exactly how the ESP-32 is powering this physical hardware shift.show more

M E S S I E R | P2P... Liquidity Provider We welcome OOBE as our latest #Solana liquidity partner on the P2P Exchange. You can now trade $OOBE with zero slippage and no buy or sell token taxes at: OOBE Protocol is a developer-focused platform designed to merge #AI agents with blockchain infrastructure on Solana. Core Services: ▪️Agent builder: Create and manage AI agents ▪️On-chain memory: Store agent data securely ▪️Open SDK: Build decentralized AI applications ▪️Integrations: Connect agents to tools & contracts ▪️Synapse RPC: Low latency & fail-proof infra for Solana dApps OOBE PROTOCOL brings programmable AI agent tools fully on-chain; enabling secure, scalable, and decentralized intelligent systems. Besides, its Synapse RPC powers Solana projects with fast, reliable, and affordable infrastructure.show more

YOMIRGO #Product #Update YOMIRGO AI-HUB OFFICIALLY LAUNCH ---A Structural... Upgrade from a Single-Product Model to an AI Agent Ecosystem Platform In its first phase, 11 AI projects have been integrated, spanning high-value sectors including finance, scientific research, enterprise services, development tools, and experiential AI. ➡️AI-Hub: This is not merely a feature expansion — it represents a critical structural upgrade from a single-product architecture to a multi-vertical AI Agent aggregation and capitalization platform. This milestone marks the initial structural formation of the YOMIRGO ecosystem. 1. Structural Distinction Between Agent Matrix Lab and AI-Hub To avoid positioning ambiguity, we formally clarify the structural division between the two: 🔘 Agent Matrix Lab — Internal AI Production & Incubation Platform Agent Matrix Lab serves as YOMIRGO’s proprietary AI development and internal incubation platform, responsible for: • R&D and testing of in-house AI products • Incubation of native AI Agents • Technical architecture experimentation and runtime validation • Testing of AI Agent models, memory systems, and runtime orchestration It functions as the production workshop and experimental engine of YOMIRGO’s “AI Super Factory.” 🔘 AI-Hub — External AI Agent Aggregation & Ecosystem Layer AI-Hub is a market-facing AI Agent aggregation and showcase platform, responsible for: • Curation and onboarding of high-quality AI projects • Cross-vertical structured ecosystem layout • Rating and classification systems • Traffic distribution and ecosystem collaboration entry points AI-Hub is not an internal incubation unit, but a standardized aggregation framework at the ecosystem level. 2. Integrated Project Structure (First Batch) ✅1. Finance & Prediction 🔹Cointoken AI — AI Agent-powered quantitative trading engine 🔹VVAI — AI-driven real-time Web3 intelligence and decision system 🔹AlphaQuant — Global financial market forecasting engine 🔹NextGoals — AI-powered global sports prediction agent This vertical forms the real-time information, trading, and predictive decision infrastructure for Web3-native users. ✅2. Science 🔹Charmen AI — Large-model-based pet acoustic recognition technology 🔹Encore Health — AI-driven health forecasting and longevity management system for high-net-worth individuals 🔹Reproducibility AI — AI expert system for financial engineering validation and academic reproducibility This sector focuses on research-grade AI capabilities, collaborating with universities and research institutions to drive real-world scientific deployment. ✅3. Business 🔹GlobalSales — B2B automated lead-generation AI Agent 🔹ResearchBot — Business intelligence and deep due diligence AI Agent This vertical targets the enterprise market, delivering scalable and commercially viable AI productivity tools. ✅4. Coding 🔹CodeMatrix — Full-stack development assistant Providing AI-driven development infrastructure and low-barrier building capabilities to global users. ✅5. Interesting 🔹Fortunetell AI — AI-powered symbolic analysis and interactive insight system Exploring the application boundaries of AI within experiential and interactive scenarios. 3. YOMIRGO Four-Layer Structural Framework YOMIRGO has now established a clearly defined four-layer structure: ▶️Layer 1: Agent Matrix Lab — Internal Production & Incubation ▶️Layer 2: AI-Hub — Ecosystem Aggregation & Rating ▶️Layer 3: LaunchPad — Capitalization Pathway ▶️Layer 4: Market — Circulation & Value Realization Together forming a complete industrial pipeline: Incubation → Validation → Aggregation → Rating → Capitalization → Market Circulation This is the structural model behind YOMIRGO’s defined “AI Super Factory.” 4. Strategic Significance The launch of AI-Hub signifies: • YOMIRGO has established standardized AI Agent aggregation capabilities • A cross-vertical ecosystem structure is now in place • Internal incubation and external aggregation mechanisms are structurally separated • The AI Agent industrial flywheel has begun operating YOMIRGO is no longer merely an AI product platform, but a structured AI Agent industrial system integrating production, aggregation, capitalization, and circulation. 5. Next Phase • Continue expanding high-utility AI Agents with real-world application value • Optimize AI-Hub’s scoring, rating, and filtering mechanisms • Strengthen synergy with LaunchPad and Market • Enable AI Agents to complete value realization within the ecosystem The first 11 projects are only the beginning. AI-Hub is designed to become a continuously expanding AI Agent gateway — not a static product showcase. Further structural expansion is underway.🔥show more

🇺🇦🚀 🇷🇺 Ukraine has unveiled a formidable evolution of... its domestic defense technology at the Farnborough International Airshow in the United Kingdom, presenting a reusable combat configuration of the An-196 Liutyi strike drone. The updated reconnaissance and strike complex was showcased equipped with four compact air-to-surface cruise missiles mounted under its wings, boasting a reported engagement range of up to 200 kilometers. Traditionally utilized as a deep-strike one-way attack drone against strategic military and industrial infrastructure inside Russian territory, this newly adapted multi-role variant enables the platform to launch standoff precision strikes and return for future missions, while detailed technical specifications remain officially classified. This major technological advancement demonstrates the rapid innovation of Ukraine's state defense industry, significantly enhancing its long-range precision attack capabilities to neutralize strategic threats. Video is AIshow more

I designed these worksheets to turn Agentic AI concepts... into simple math problems you can do by hand. ✍️ Download PDF: Problems 1 to 5: 1. Count the tokens: split on spaces, one word per box 2. Subword splitting: when one word is three tokens 3. Punctuation counts: the marks are tokens too 4. Tokens per word: the ratio that turns words into a bill 5. Will it fit? A document against a context window Why am I making these worksheets? AI is making people (including me) think less. It's just too easy to ask AI a few questions about a new AI concept and start to believe I get it. Until recently, we could use a coding problem to practice a new AI concept. But now it has become too easy to ask AI to write the code, and we start to think we must know the concept, since we technically solved a coding problem. Thus, my approach is to recast AI concepts as simple math problems we must solve with pen and paper. Using our hands is one way to motivate ourselves to start thinking again. ✍️ ~ Prof. Tom Yehshow more

AI agent usage on SQD Portal is up ~200%... in recent weeks. A dev from our community chat was scraping a wallet UI with Hermes. Mid-task, DeepSeek reasoned its way out of it: "I can use SQD Portal's Hyperliquid fills data directly — much more complete than scraping a UI with infinite scroll." No prompt engineering. The model just chose the better and faster path. This is the loop we wanted: Agents pick SQD because it's faster → devs see agents picking SQD → devs ship faster → more agents pick SQD The picks-and-shovels moment for AI x onchain is here.show more

🌌 AI Agents Are Taking Over... And We’re Bringing... Them to Berachain Foundation 🐻⛓ 🐻🔥 Hundreds of hours spent on research, tracking wallets, analyzing bribes, and managing portfolios... What if your AI Agent could do this for you—24/7? ⏲️ 🔧 Our Tech Is Next-Level On our testnet, you’ve been memeing it up with PumpFun™, creating dank memecoins enhanced by NFTs. But once Berachain’s mainnet is live, you’ll be able to create your own AI Agents. To test and perfect our tech, we shared it with projects like AI Agent Layer | AIFUN, allowing us to test it in all conditions and continuously improve its performance. 🛠️🔥 🐻 Why AI Agent are great for berachain? Berachain might seem simple at first glance: validators, bribes, POL, staking rewards… but the deeper you go, the more complex the game theory becomes. 🤯 Here’s where AI comes in. Imagine an agent helping you: 💡 Optimize bribes 📊 Analyze validator behavior 🧠 Make decisions faster and smarter and much more, as AI Agents won't be limited to the chain itself! Examples of AI Agent Projects Dominating the Space 🚀 $VIRTUAL - Launchpad for AI Agents ($3.5B mcap) 🧠 $AI16Z - Eliza OS Framework ($2B mcap) 🔍 $AIXBT - The AI Analyst revolutionizing CT ($430M mcap) 🎮 $GAME - Low-code toolkit for creating AI Agents ($230M mcap) 💡 There are already AI Agents managing portfolios, betting on sports, and automating tasks. And guess what? They're outperforming humans. 🌐 We've built Virtuals on Berachain Our protocol integrates directly with Berachain, providing real utility to our token: $AIBERA 💎. Say Ooga Booga if you want to see a thread about tokenomics and $AIBERA utility. The chain has beras on it, and beras deserve AI Agents. 🐻🤖 Ooga Booga. 🔥show more

🌎VerAI is leading the charge for a greener AI... future! Traditional AI training in massive data centers burns through energy, emitting CO2 equivalent to thousands of cars.🚗☁️☁️ But VerAI changes the game by using idle CPU/GPU power from contributors’ PCs 💻 Starting from a waitlist base of 30K contributors, we’re tapping into resources already in use, slashing the need for energy-hungry servers and cutting carbon emissions while you earn $VERAI. With this growing community, we’re building a sustainable ecosystem that proves innovation doesn’t have to cost the planet. ☘️🌱🌞 🛠️On the tech side, our platform on Base layer-2 dynamically detects unused compute power in real time, ensuring efficient allocation for AI tasks. Contributors can monitor their impact and earnings hourly, while developers access affordable resources to build transparent AI. It’s a win-win: your PC powers the future of AI, and you get rewarded all with minimal environmental impact.🌲 📊Here’s a mind-blowing fact: If 750 million PCs globally joined VerAI, we could save approximately 62.95 million metric tons of CO2 per year by reducing reliance on energy-intensive data centers for AI training. This calculated estimate assumes 80% of global AI workloads shift to VerAI’s distributed network, using idle resources that would otherwise go to waste. That’s like taking 13.5 million cars off the road annually! Join the waitlist and help us make AI sustainable! 👉 #GreenAI #Earncrypto #BlockchainInnovationshow more

Exciting Milestone: Our First CEX Listing with MEXC! We’re... thrilled to announce that VentureMind AI ($VNTR) is officially listed on mexc_listings ! Choosing our first centralized exchange partner was a big decision, and we’re excited to team up with MEXC to bring $VNTR to a wider audience. This is a historic moment for us as the first AI incubator project launched on the Seedify platform to achieve a CEX listing. We couldn’t have reached this point without Seedify’s guidance, helping us navigate the journey with confidence and clarity. This partnership is just the beginning! It gives easier access to $VNTR and introduces the first onramp to purchase our token using fiat stablecoins, making it more accessible to a global audience. And we’re just getting started! Additional exchange listings are already in the works, and we can’t wait to share more milestones as we expand the reach and utility of $VNTR. To our incredible community, thank you for your unwavering support. This is only the start of an exciting journey, and we’re so grateful to have you with us every step of the way!show more

This guy bought a $400 Mac mini and walked... into a coffee shop with $2,100 for installing an AI agent that never touches the internet. I had to rewatch this because the pitch is almost too simple. He shows up, plugs in the Mac mini, installs a local AI agent running entirely through Ollama, done in under an hour. Zero cloud dependency, no API bills, no monthly charges bleeding the client dry. The coffee shop owner gets a private AI system that keeps working even if the WiFi dies, and he walks out with $2,100 for an install that takes less time than a long lunch. The hardware cost him $400. One deployment and the machine's already paid for five times over. Then he locks in a monthly retainer for support, somewhere around $100-150, which means every client after the first is close to pure margin stacking on top of recurring revenue. Most people hear "AI business" and think they need to build a SaaS platform or learn to code or raise funding from someone. This skips all of that and goes straight to walking into coffee shops with a Mac mini under one arm. Not a company that scales to a billion dollars, obviously, but a solo operator clearing a few thousand a month from local installs while everyone else is still arguing about which LLM is best on Twitter.show more