OpenLedger: AI That Shows Its Work What if AI could actually explain where its answers come from? Most AI is a black box you get answers but no idea why you should trust them. @OpenledgerHQ changes this completely. How It Works ➣ Every answer has receipts See exactly who contributed each piece of knowledge in OpenChat ➣ Contributors get paid Human experts earn when their expertise helps others ➣ Build custom AI Create specialized models without coding ➣ Full transparency No mystery algorithms or "trust us" moments Why This Matters? You're training AI for free every day. Your questions and feedback make these systems billions while you get nothing back. Finally, AI that's built for humans, by humans, owned by humans. Gocto @cookiedotfun

gOcto! I think we’re about to hit a weird convergence point between wallets, AI, and the economics of data and @OpenledgerHQ is sitting right at the collision zone. @TrustWallet’s move with #OpenLedger confirmed a few things I’d been suspecting, but also dropped more than a few gems. We’re watching the "fat protocol" thesis morph into the "fat wallet" thesis. The interface is the distribution. Trust Wallet's been thinking hard about it, but what’s actually driving the shift is that AI can now mediate how users engage with everything underneath. So now there’s a new meta testbed for: – Specialized agents fine-tuned for crypto UX (fraud prevention, swap routing, safety rails) – Wallets as the identity layer – Choice-driven custody layered with AI-driven automation – Guardrails to keep users in control even if the agent goes rogue OpenLedger slots in with attribution as the core of economic fairness. Their vision is to let users contribute their expertise, prove it cryptographically, and then route rewards onchain. Your wallet becomes your face and your paycheck. Whether you're a Solidity dev feeding a model or just someone labeling Web3 scam txs, there’s yield attached. We’ll go from clicking swap to saying “optimize my ETH yields,” and an agent will do the rest → Fine-tuned on DeFi data, proven onchain, and paying every contributor that made the decision possible. If OpenLedger gets it right, $OPEN will be how knowledge finally gets paid.

Gm from the event from MetaMask and OpenLedger 🌞🌿

No voy a mentir, estos desarrolladores de OpenLedger publican artículos de investigación como si estuvieran escribiendo para futuras IA😭 Es algo realmente desconcertante. Así que lo metí en @NotebookLM, y en cuestión de segundos, convirtió ese lío confuso en un video súper simple. Honestamente, esto hace que sea mucho más fácil para personas normales como yo entender lo que está pasando 🥹

If you don’t understand why everyone is so bullish on @OpenLedgerHQ, here’s why: Because they’re not trying to slap AI onto crypto. They’re building what AI actually needs to work in crypto. Let me break it down: 1. OpenLedger is AI-native infrastructure. Most crypto-AI plays are wrappers, indexes, or marketplaces. OpenLedger is deeper. It’s a full stack, onchain framework to build, train, own, and trace AI models. From the ground up, it’s purpose built for the actual lifecycle of intelligent agents: → Where does your data come from? → Who trained the model? → Can you prove it? → Can you trade it? OpenLedger answers all of that. 2. Datanets: AI needs structured data. OpenLedger puts it onchain. You can’t train anything good without quality data. Datanets are community owned datasets that live fully onchain. You can create one, contribute to others, and track every datapoint’s origin. → Every contribution is rewarded. → Every upload is logged. → Every dataset is composable. 3. ModelFactory: Fine-tuning made simple, permissioned, and traceable. ModelFactory is a GUI native platform where anyone can fine-tune large language models using Datanet approved data. Why is that big? Because most models today are black boxes. You don’t know what they’re trained on. You can’t audit them. With ModelFactory, every tweak, every version, every contributor is onchain. 4. OpenLoRA: One GPU. Thousands of fine tuned models. OpenLoRA is a technical gem, It lets you serve thousands of fine-tuned LoRA models on one GPU. → Dynamic adapter loading. → Low memory overhead. → High throughput. This is huge for anyone trying to deploy agentic AI in real time. Like chatbots, trading agents, autonomous tools, all running efficiently with no GPU spam. 5. Proof of Attribution: The missing piece of AI is traceability. This might be OpenLedger’s most important feature. Every dataset, every model, every action is tied to a wallet. → All public. → All verifiable. → All rewarded. Why does that matter? Because the future of AI won’t just be about what a model can do. It’ll be about who made it, what it’s based on, and whether you can trust it. Proof of Attribution turns AI from a black box into a trustable stack. 6. Everything is liquid. → Datanets are tradable. → Models are composable. → Agents are assets. OpenLedger is turning it into a usable, programmable, and financialized ecosystem. TLDR? OpenLedger is giving AI the rails to live in crypto. → Infra. → Attribution. → Liquidity. Built with intention, Now you understand why people are betting big.