Machnixx

The Chainlink data standard: Now available to millions of AWS developers ⚒️

❔ A Question for Our Community 👇 How to stay disciplined in drawdown? 📉 Drawdowns can feel personal, but they are part of the process. The key is having a plan that prevents panic moves and keeps decisions consistent when results turn red, especially during the toughest moments. 💡 In GT App, strategies can be monitored and managed in one place, which helps stay focused on the plan. Get started 👉 bit.ly/49GtKui 💬 What habits help you stay on track during drawdown?

All aboard, the full stack for markets and machines is here.

All three tokenomics proposals have been passed and executed: 2.1B hard supply cap is live. Staking rewards halved (5.19% → 2.6%). Gas fees 10x'd. Performance-driven tokenomics, in action, on the full stack for markets and machines. Stay tuned for more updates.

⚡️ GT Protocol Weekly Recap This week focused on making GT clearer, faster, and more useful across product, learning, and support experiences. 🛠 Product Updates ⚙️ AI Agent Notifications: aligned on making the AI agent more actionable with notifications, turning it into a clearer control and update hub for users. ⚙️ GT Protocol Learn: migrated all blog articles into the Learn section for a cleaner and more structured learning experience. ⚙️ UX Navigation Insights: reviewed how users move through key product screens to guide simpler and faster paths from exploration to action. ⚙️ Knowledge Base Hub: replaced HelpCrunch with the GT Protocol Knowledge Base as the main place to find product help and key information. ⚙️ Page Responsiveness: discussed improving GT page speed and responsiveness to make the platform feel lighter from the first interaction. 📰 GT Protocol AI Digest No.91 This week’s digest explores how AI is moving deeper into personal data and online content, making control, ownership, and fair compensation more important than ever. Read More Here 👉 surl.li/lypfqq Stay tuned for more GT updates soon 🚀

Our 3-week Open House online Buildathon program kicks off tomorrow. Early-stage teams bringing new business products onchain will get support from @RobinhoodApp, @Alchemy, @GMX_IO, @OpenZeppelin, @Offchain and the Arbitrum Foundation. Register today. 👇 openhouse.arbitrum.io/?utm_source=tw…

An idea that doesn't hold up is still data. Right now, it just vanishes. It dies in a group chat or a forum thread, and the next person who has the same thought starts from scratch. It doesn't have to be like that. Think of an open surface where anyone can post an idea, others vote, argue, and pick it apart in public. The strong ones turn into actual projects with a workspace, collaborators, and funding. The ones that fail stay visible, so the next researcher sees the idea was already tried. What didn't work for one project becomes the starting point for the next.

Do Only Good Everyday 🙏

LLM hallucinations are the biggest roadblock for enterprises adopting AI. You can’t build real systems on outputs you can’t trust. Fetch Business changes that. When you claim your brand agent, it has access to real data, represents your brand accurately 24/7 and boosts consumer service. Better consumer relationships = better sales. Claim your agent in less than 60 seconds: business.fetch.ai 👇

When regulators encourage adoption, enterprises move. @kylejenke on Mitsui's deployment on OP Mainnet and why Japan is a market to watch right now. Clip from our conversation with @GenzioCo.

Imagine making your skills - professional or just hobbies - available to everyone, anytime. The AI agents are coming to VeChain. $VET

This is the infrastructure shift that makes agent-native data real. No API key. No account. No monthly plan. A wallet is all an agent needs to query onchain data through The Graph's x402 gateway, paying one cent per query in USDC on @Base. Pair that with Subgraph discovery, and the whole workflow runs in two steps.

The hardest problem in AI for science is payment, not the science. AI can already design proteins, synthesize hypotheses across thousands of papers in seconds, and identify promising drug candidates in days. But the moment the agent needs actually to spend money on compute, a lab assay at a CRO, or another agent’s output, everything stops. Wire transfers, procurement, and a finance team approving a PO. Sometimes the agent is stuck, waiting for hours or days. A truly autonomous science agent needs to pay continuously for inference, wet lab time, datasets, and other agents. Traditional banking isn’t built for that. What actually works today is already in production: agent wallets, on-chain treasuries, and micropayments like x402. These agents are running live, paying for compute, and wet lab work directly from on-chain treasuries they control. • Each transaction is signed by the agent. Each cost is logged and traceable on @Molecule_sci Labs. • Every wet lab handoff is anchored to a transaction. If you don't trust the agent, you can verify the agent. Designed by an agent. Paid by an agent. Validated by a wet-lab. Logged on-chain.

Jupiter Planetary Call x.com/i/broadcasts/1…

Ontorium is bringing physical gold onchain as a programmable asset with OXAU, now exceeding +$1M in supply. Arbitrum’s deep liquidity and predictable costs make it possible for institutional capital to access commodities like gold via @Ontorium_io efficiently.

We're boosting ASI:One's capabilities every day. Ask your Personal AI to: → Negotiate and plan dinner nights asi1.ai/blog/ai-negoti… → Shop online for you asi1.ai/blog/personal-… → Apply for jobs for you asi1.ai/blog/ai-job-hu… Better capabilities = easier life. Read more in our blog: asi1.ai/blog

💡 Daily Team Insight On today’s team discussion we focused on one thing: product trust is built through small details, not big features.

The trust problem for AI agents has two key aspects: identity, and proof of activity. In a commercial environment, how can you be sure the hired agent is not a nefarious actor? How can one independently verify tasks they have performed? AI's 'black box' structure makes verification without blockchain challenging. Our upcoming TRUST marketplace solves for both. Agents interacting with VeChainThor will carry verifiable digital identities, anchored on-chain, and earn reputation through a credibility scoring system over time. Reliability brings peace of mind for commercial/business users, and introduces a way to verify an agent before introducing them into workflows. By unlocking trust, through blockchain, for agentic infrastructure, VeChain applies the same value logic it brought to enterprise cases - that transparency, efficiency and trust between actors is a valuable commodity, a new economic engine, and unlocks new scales of operation. Trust for AI agents will be VeChain's third adoption pillar; now serving enterprise, individual and agentic users. Stay tuned for the TRUST Marketplace MVP, coming soon. $VET

City Under Siege is going strong! Day 2 of the weekly challenge is underway. The current leader has a score of 200.3m… go beat it and get in the running for the 10,000 MOON in rewards! Play here: links.gala.com/City-Under-Sie… #GalaChain #GalaGames

Back in 2020, VeChain CTO, Antonio Senatore, foresaw the need for AI companies to leverage blockchain technology as a truth layer. With it, they can integrate immutable audit trails, ensuring complete oversight over AI. Fast forward to 2026, $VET is now building that layer.