Recently, I’ve been obsessed with vibe coding, trying out all the major AI models one after another. But there’s one increasingly obvious and frustrating issue: Context is disposable. I write product logic in Claude, do architecture simulations in GPT, then switch to open-source models for comparison testing. The problem isn’t that the models are bad—it’s that my *thought process* keeps getting fragmented. I’m not using AI; I’m constantly “reintroducing myself.” At its core, this isn’t a model capability issue—it’s a structural problem with the AI ecosystem: Each model = a walled garden Memory = platform asset, not user asset Switching models ≈ starting from scratch This is basically vendor lock-in, AI edition. The problem caused by centralization should be solved by decentralization. Recently, I’ve been following the evolution of the veteran L1 ZetaChain to version 2.0. They’ve identified this structural issue and come up with a productized solution. From “connecting chains” to “connecting AI.” Instead of building models, they’re creating an AI interoperability layer: **AI Portal** One entry point to access multiple mainstream/open-source models You choose the model, instead of the model choosing you. **PML (Private Memory Layer)** — The real game-changer - Memory is encrypted and owned by the user - Models are only *authorized* to “use” it, not “own” it - Switch models without losing context This essentially takes back “memory sovereignty” from AI platforms. @ZetaChain originally tackled Web3 fragmentation with “universal applications,” and now their 2.0 version applies the same theory to solve AI fragmentation. Plus, they didn’t stop at the infrastructure layer—they went ahead and built a consumer-facing entry point: **Anuma**. Anuma is now open for early access waitlist. No need to wait for email notifications—you can go directly to their website, complete simple tasks, and invite friends to earn AI Credits. These credits will affect your priority, early features, and benefits when the platform officially launches. It’s still super early, so if you’re interested, feel free to use my invite link: https://www.anuma.ai/access?ref=PO88NQ9K