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! Creo que estamos a punto de llegar a un extraño punto de convergencia entre las billeteras, la IA y la economía de los datos y @OpenledgerHQ se encuentra justo en la zona de colisión. El movimiento de @TrustWallet con #OpenLedger confirmó algunas cosas que había estado sospechando, pero también dejó caer más de unas pocas gemas. Estamos viendo cómo la tesis del "protocolo gordo" se transforma en la tesis de la "billetera gorda". La interfaz es la distribución. Trust Wallet ha estado pensando mucho en ello, pero lo que realmente está impulsando el cambio es que la IA ahora puede mediar cómo los usuarios interactúan con todo lo que hay debajo. Así que ahora hay un nuevo metabanco de pruebas para: – Agentes especializados ajustados para cripto UX (prevención de fraude, enrutamiento de intercambio, rieles de seguridad) – Billeteras como capa de identidad – Custodia basada en opciones con automatización impulsada por IA – Barandillas para mantener a los usuarios en control incluso si el agente se vuelve rebelde OpenLedger encaja con la atribución como el núcleo de la equidad económica. Su visión es permitir que los usuarios contribuyan con su experiencia, demostrarla criptográficamente y luego enrutar las recompensas en la cadena. Tu billetera se convierte en tu rostro y tu cheque de pago. Ya sea que sea un desarrollador de Solidity que alimenta un modelo o simplemente alguien que etiqueta las estafas de Web3, hay un rendimiento adjunto. Pasaremos de hacer clic en el intercambio a decir "optimizar mis rendimientos de ETH", y un agente hará el resto→ Ajustado en los datos de DeFi, probado en la cadena y pagando a todos los contribuyentes que hicieron posible la decisión. Si OpenLedger lo hace bien, $OPEN será la forma en que finalmente se pague al conocimiento.

Gm from the event from MetaMask and OpenLedger 🌞🌿

NGL, these OpenLedger devs drop research papers like they're writing for future AIs😭 It’s some seriously brain-scratching stuff. So I dropped it into @NotebookLM, and within seconds, it turned that confusing mess into a super simple video. Honestly, this makes it so much easier for normies like me to actually understand what’s going on 🥹

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.