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

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

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

🚨 The future of AI isn’t bigger models. It’s... smarter agents that act, not just respond. GPT-5 came, but it didn’t wow. The real revolution is the Agent Era, where speed, engineering, and real-world execution win. Meet GenFlow 2.0 by Baidu Wenku, the most advanced general-purpose agent right now, and the first to let you intervene mid-generation, a capability not available in GPT or Manus. ➡️ Interrupt and edit tasks mid-generation (exclusive to GenFlow) ➡️ Run 100+ agents simultaneously ➡️ Deep data integration with live workflow control ➡️ Built for product, not just research China is outpacing the U.S. in AI productization. This isn’t another ChatGPT clone. It could be ChatGPT’s first real rival. I built a full investor pitch deck in under 3 minutes, editing content live as it generated. The center of AI innovation is shifting. 👇 Watch AI stop waiting for commands and start working with you.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

We’re thrilled to launch on Genesis at Virtuals Protocol... and want to share what’s next on the technical side. > AI Sniping Engine: In final testing for ultra-fast on-chain reactions to large buys/sells with sub-second execution. > Strategy Scripting: Enhancing natural language parsing so users can define complex market-making strategies more easily. > Wallet Management: Upgrades for dynamic splitting, stealth rotation, and batch execution to reduce detection risk. > Dashboard: Coming soon with advanced analytics, strategy templates, and real-time monitoring. > AI chat: Now the AI can learn your personal responding style in a single conversation. Currently, Dessistant is not yet 100% autonomous. We’re improving it step by step. Starting tomorrow, we’ll be collaborating with other projects to test market-making using small LP allocations on Virtuals-based tokens. This will let us refine the agent in real-world conditions before a broader rollout. Our goal is to continuously improve Dessistant into a fully autonomous AI market-making agent that is adaptive, transparentshow 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

🚀 Early Access to Sahara AI Studio is NOW... OPEN! The next phase of our testnet is here with exclusive early access to our all-in-one platform designed to transform the AI development lifecycle into a streamlined, integrated experience. Here’s everything you need to know 👇 AI development is fragmented. Devs juggle multiple tools, leading to inefficiencies & high costs. Sahara AI Studio integrates the entire AI lifecycle—from datasets & model training to secure storage & scalable compute—into one seamless experience: 📊 Data Hub: Discover, Manage, and Leverage AI-Ready Datasets Access high-quality, domain-specific, open-source and proprietary datasets through an integrated marketplace. Developers can download, import, or label datasets, making it easier to train and fine-tune models or deploy RAG pipelines. Secure uploads and seamless workflow integration enhance the experience. 🤖 Model Hub: Discover, Customize and Scale AI Workflows with Ease Discover ready-to-use open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can deploy models quickly while maintaining privacy and security through Sahara Vaults. 🖥️ Compute Hub: Flexible, Scalable Compute Resources for AI Innovation Access scalable and secure computing resources tailored to diverse AI workloads. Trusted Execution Environment (TEE) capabilities ensure data privacy, while integration with top compute providers offer flexibility for developers. 🔐 Vaults: Secure Storage for AI Assets Securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults offer scalability, reproducibility, and user control over AI resources. This is more than just beta testing a platform—it's your chance to help shape the future of decentralized AI development. 📅 How to Apply We're onboarding select developers in a phased approach. Early Access spots are limited, so apply now:show more

🚨 Someone just submerged 7 RTX 3090s in a... tank of cooling liquid. 🌊🔥 Not for gaming. For running AI locally. 🤯 At first glance, it looks like a science experiment. But there's a reason behind it. 🖥️ 7× RTX 3090s mounted vertically. 🫧 A transparent immersion cooling tank. ❄️ Specialized dielectric coolant flowing around thousands of CUDA cores. Together, those GPUs provide roughly 168GB of total VRAM. That's enough for AI workloads that normally require expensive cloud GPUs. Think: 🤖 Local LLMs ⚙️ AI Agents 📚 Private RAG 💻 Code generation 📄 Large document analysis 🌙 Overnight automation workflows Why build something like this? ✅ No API rate limits ✅ No per-token costs ✅ Sensitive data never leaves your own infrastructure The catch? 🔥 Seven RTX 3090s generate an enormous amount of heat. At that scale, traditional air cooling isn't enough. That's why some AI builders are turning to immersion cooling, where the entire GPU array is submerged in a non-conductive coolant to maintain stable temperatures under heavy 24/7 workloads. One trend is becoming increasingly clear: Local AI setups are evolving beyond gaming PCs. They're becoming personal AI data centers capable of running complex workflows entirely on your own hardware. The question is no longer: "Can this hardware run an LLM?" It's: "Which parts of my AI workflow are expensive enough that owning the infrastructure makes more sense than renting it?" 🚀show more

🚨 RWA START-UP EXPLODES 1,200% AT LAUNCH — A... PROUD MOMENT FOR US Our incubatee T-RIZE’s debut on Kraken was nothing short of extraordinary — peaking at a 1200% — and we’re deeply honored to have been a proud partner from the start. The $RIZE token is now live and trading, marking a major milestone in real-world asset tokenization. With a $300M deal for Canada’s 960-unit Project Champfleury and a $2B pipeline in motion, T-RIZE is setting the new standard for RWA platforms. Built on Rizenet — a proprietary blockchain optimized for decentralized machine learning and AI-driven insights — it’s pushing the space forward in real time. We’re proud to have contributed across strategy, marketing, partnerships, and the incredible shows that brought this to life. Watch the official demo + explore the platform: Disclaimer: We do not provide financial or investment advice of any kind. Always do your own research, as cryptocurrency prices can be extremely volatile. This project is part of our incubation program.show more