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Introducing Pods Clips 🎬 An onchain marketplace for short form content • Turn podcasts into viral clips → Get paid in USDC • Fund campaigns → Grow your audience Live now. Powered by Base

70,736 görüntüleme • 11 ay önce •via X (Twitter)

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CCTP is now live on Aptos! Developers and their users can now transfer USDC securely between 10 blockchains with 1:1 capital efficiency. With CCTP, you can: 💸Enable cross-chain onboarding for your app by allowing USDC deposits directly from Ethereum and more. ⚖️Meet withdrawal demand for USDC on Aptos on your exchange by rebalancing 1:1 with CCTP behind the scenes. ✨Accept USDC payments for your marketplace from multiple blockchains. Users never need to think about what blockchain they hold USDC. CCTP uses a native burn-and-mint process to securely move USDC from one blockchain to another. With no need to lock up liquidity or rely on third-party fillers, CCTP maximizes capital efficiency and minimizes trust assumptions. Powering 90 unique routes: With the addition of Aptos, CCTP can facilitate USDC transfers in a many-to-many fashion between Aptos, Arbitrum, Avalanche🔺, Base, Ethereum, Noble, Optimism, Polygon | POL PoS, Solana, and Sui. Dozens of apps, wallets, bridges, exchanges, and more support CCTP, including: Wormhole 🤝 CCTP Wormhole enables developers to integrate CCTP into their Aptos apps with Wormhole Connect – a customizable widget for seamless cross-chain transfers: Portal 🤝 CCTP Wormhole Portal supports CCTP on Aptos with its integration of Wormhole Connect to deliver fast and easy USDC transfers to users: Ecosystem apps using Wormhole Connect including Aries Markets, Cellana Finance, Echelon, Echo Protocol, Meso Finance, Pontem Labs (Liquidswap), Thala, and VibrantX Finance 🤖 are now live with CCTP routes for Aptos. Start building with CCTP on Aptos:

Circle

97,675 görüntüleme • 1 yıl önce

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Varun

308,655 görüntüleme • 3 ay önce

🪴 GT Protocol Monthly Recap: May 2026 May focused on launching advanced trading infrastructure, introducing AI risk-management tools, and shipping major platform upgrades. 🚀 Hyperliquid Vaults Live Run multiple algorithmic strategies on a single Hyperliquid Vault inside GT App. Enjoy automated execution, auto-rebalancing, and protocol-level security. You can find Vault trading on the Hyperliquid exchange account connection page in the Trade on Vault section. Try it in GT App 👉 🤖 AI Hedge Fund Experiment Live An experimental AI Hedge Fund powered by 5 independent LLM models is live on Hyperliquid. Each model manages $10,000 to test different AI trading personalities and allocation strategies. Discover it now here 👉 📈 Isolated Margin & AI Risk Tools Isolated Margin is live across GT App for precise risk management. Enhanced with AI-powered logic, it assists with dynamic asset monitoring and smarter strategy deployment. Try it in GT App 👉 🔥 Top Strategy Performance Top trader strategies like "lebakien" achieved over +141% profit this month. Users can explore metrics and follow the strategies of top traders directly in the marketplace. Explore Marketplace 👉 🛠 Key Product Updates ⚙️ Strategy Discovery: enhanced demo trading flows and top trader strategy integration. ⚙️ AI Strategy Chat: demoed a flow to create, launch, and test strategies via natural language chat. ⚙️ Advanced Execution: added manual safety orders for granular control over active positions. ⚙️ Testing & Validation: optimized historical data validation for more accurate strategy testing. ⚙️ Knowledge Hub: launched GT Protocol Learn and a new Knowledge Base for streamlined support. ⚙️ Performance: upgraded website structure and improved overall page responsiveness. Find all the latest GT App updates Here 👉 Discover guides, insights, and resources in Learn 👉 and Knowledge Base 👉 📰 GT Protocol AI Digests 4 new AI Digest issues (No.89–92) are live on Medium, covering AI-native hardware, data privacy, and the evolution of AI agents. Read More 👉 May brought institutional-grade AI strategy management closer to every user.

GT Protocol

32,774 görüntüleme • 1 ay önce