Infraxa narxiINFRA

Wow. Google’s choice of EigenCloud as the cryptoeconomic trust layer for its Agent-to-Agent (A2A) and Agent Payments Protocol (AP2) is one of the most important AI x crypto integrations yet. Why? • AI agents need verifiable trust – payments, guarantees, and execution must be slashable to prevent abuse. • Billions of interactions – the agent economy will generate trillions of micro-transactions, requiring scalable, cryptoeconomic rails. • Real workloads, not just narratives – this isn’t speculative “AI coin hype,” it’s infra adoption where usage = consumption = $EIGEN burn. If the AI agent economy takes off, it won’t run on trustless promises but on systems like EigenCloud. This is the substrate play. Bullish on @eigenlayer.

RT @Chain_GPT: Another pitch deck contest? Hell nah Our grant program offers real support + real infra + real reach. Made for builders who…

Most chains chase speed or yield. @wardenprotocol is chasing clarity. It’s an AI-native L1 built on Cosmos, where you don’t just “sign txs” you set intents. Swap, bridge, manage assets… the agents handle the messy parts. What makes it different: ~ Agent-powered execution ~ Cross-chain smart accounts (1 login, 3 ecosystems) ~ Onchain verifiable AI (AVRs + SPEX) ~ Rules like: “only trades < $1k w/o 2FA” It’s not another L2, not just infra. It feels like an Agent Layer where UX, AI, and security merge into one seamless flow. Crypto without stress. Just smooth, verifiable, human-first design.

Pretty insightful podcast from @KevinWSHPod @MTorygreen on DeAI which I think it's worth highlighting. One most overlooked truths in DeAI (or DePIN): The real uphill battle isn't tech superiority, it’s distribution. Big hyperscalars (@awscloud @Microsoft @Google) dominate because they don’t just sell compute. They bundle the entire developer experience → storage, data, networking, infra, integrations all in one seamless platform. That bundled moat is what crushed smaller vertical players. Decentralised infra networks today simply don’t offer that. The UX is fragmented, service quality is inferior, and the only wedge they realistically have is cost. To win, DeAI needs to replicate the bundled experience at a fraction of the cost. But that said, here’s the thing: disruption plays out differently than it looks at first. @MTorygreen’s analogy on Telegraph vs. Telephones hits: Telegraph dominated long-distance comms for decades vs. early telephones which you could only talk within a mile → on paper, inferior to telegraphs that spanned continents. But once the network scaled? AT&T crushed telegraph incumbents. The value distribution was inherently better and incumbents couldn’t adapt without cannibalising themselves. And this is exactly how ‘baked-in crypto’ in DeAI will succeed. With a structural edge, it’s only a matter of time before we see more serious attempts to penetrate the market as protocols scale into mature, service-ready networks. -------- On Drawing Parallels to Crypto: Crypto + decentralisation are on the same path, where it's inferior, fragmented & easy to dismiss. But but but here’s the difference: they unlock open composability + new value distribution models. The permissionless + open nature of distributed infra is the key. It combines market forces + innovation velocity at a pace no centralised entity (guarded by profit walls) can realistically match. Once this is paired with scalable, industrial-grade standards, the adoption shift becomes inevitable. It won’t happen overnight for sure, but at least the trajectory is clear. Furthermore, open composability enables the possibility of 'Mind Legos' → infra that’s modular by design, where pieces can stack, plug, & interop into multi-layered systems. This adaptability compounds value. Each new primitive makes the whole stronger, more versatile, and harder to replace. That’s why this is disruptive. Not because it’s only 'cheaper', but because the principles of decentralisation (permissionless infra, global liquidity, programmable trust) create a system incumbents simply cannot replicate without breaking their own model. Disruption always looks small and flawed at first until it becomes inevitable.