Agents watching YouTube. Transcribing hours of video. Generating embeddings for memory. All that compute has to run somewhere. With deAPI, it runs on GPUs in the GamerHash network. More agents working means more work for your graphics card.

OpenClaw Burning Your Token Budget? Here's How to Integrate Our Free MiniMax-M2.5 API (& Many Other Model APIs) into Your OpenClaw Thanks MiniMax (official) for the ground-breaking model! blog.netmind.ai/article/Integr…!

Happy Valentine's Day to everyone whose AI prompts are... private. 💕 GamerHash AI runs entirely on your GPU. Your creations stay on your machine. What happens on your GPU, stays on your GPU. Generate whatever your heart desires. We'll never know.

Open models now stand shoulder to shoulder with closed models！

Fantasy art is cool. Fantasy art that breathes fire is cooler. LTX-2 image-to-video. Static concept art turned into a living standoff. GamerHash AI.

Privacy is not about hiding data at rest. It’s about eliminating the moment of exposure. In most systems: encrypted → decrypted → computed → exposed. With Cypher: encrypted → computed → encrypted. Execution never transitions into plaintext. That changes what

Most AI tools: upload your data to someone else's server, pay per generation, hit monthly limits. GamerHash AI: runs on your machine, costs nothing, no limits, nobody sees what you make. Video gen, image gen, chat - all local. Your GPU, your prompts, your business.

Your roadmap as a GraphLinq user 1️⃣ Get $GLQ to unlock ultra-low gas on GraphLinq Chain. Buy on any supported CEX — or grab it directly via GraphLinq Hub. Using Hub? Just bridge your ETH → WETH on GLQ Chain. 2️⃣ Once you hold GLQ, choose your path: • 🔒 Stake in the app —

Built natively for AI apps. Engineered for encrypted execution. Cypher integrates FHE, concurrency, and composable architecture to support scalable, privacy-preserving computation on-chain. Execution remains encrypted at every stage.

You can now build an agent on NetMind XYZ with just words. Then deploy it to moltbook in one step. No code. No complexity. Just describe what your agent does. Guide: xyz.netmind.ai

Intent: Optimize yield on idle USDC, Base ↓ Sim: 4 liquidity paths modeled ↓ Exec: Aerodrome USDC/USDbC LP: 12.4% net APY, lowest IL risk Yes. AeroNavigator does all of this. Join the waitlist: aeronavigator.xyz

2024 was the year of chatbots. 2026 will be the year of economic agents. We’re moving from Read-Write → Read-Write-Execute. Software won’t just display data — it will move capital. Most L1s were built for humans. Agents need predictable fees, high-frequency execution & unified

People keep asking which AI model will win. Wrong question. The teams that control compute decide which models get deployed first, which agents can access them, and at what cost. We had MiniMax (official) 2.5 before the public launch. That gap compounds. Try it here:

Aerodrome is at $1.24B TVL. Base is at $5B. A year ago people questioned whether Base had enough liquidity to matter. That question is settled. The next question is whether the tooling exists to navigate it intelligently. That is the only problem we are solving. That's

More GPU models getting Earn Module support. More AI features in testing. More work flowing through the deAPI. We do not do hype posts. We ship updates. If your Ada Lovelace/Blackwell GPU is not supported yet - it is on the list. Stay tuned.

Fragmented DeFi kills automation. Bridging in one tab. Swapping in another. Tracking in a third. Agents need one execution layer. GraphLinq Hub = bridge + swap + execute in one environment. hub.graphlinq.io

The MCP ZK Integrity Layer is live on Z1 GitHub. It adds zero-knowledge verification to the Model Context Protocol. Agents can generate proofs that: • a computation was executed correctly • context wasn’t altered • outputs match valid inputs All without revealing private

Don’t wait for the agent economy. Build inside it. Start with: • Automation workflows • AI-generated dApps • Unified execution • Agent monitoring systems Autonomous capital is the next frontier. docs.graphlinq.io

Cypher Testnet Milestone: February 2026 83.9M transactions on Cypher testnet, processed entirely under FHE. Data stays encrypted through execution. • 6.89M addresses • 122.1K encrypted TXs/day • 12.7M DEAI transfers • 35.6M blocks produced • 257.1 GB encrypted state

London, thanks for showing up. Yesterday, we hosted GenAI UK x Cloud Native & Open-Source AI at NetMind. Practitioner talks, demos, Q&A, and networking. We also shared a first look at the new NetMind XYZ, our platform designed to create agents with just natural language.