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 ! Je pense que nous sommes sur le point d’atteindre un point de convergence étrange entre les portefeuilles, l’IA et l’économie des données et @OpenledgerHQ se trouve juste dans la zone de collision. @TrustWallet mouvement avec #OpenLedger a confirmé certaines choses que je soupçonnais, mais a également laissé tomber plus de quelques gemmes. Nous assistons à la transformation de la thèse du « fat protocol » en celle du « fat wallet ». L’interface est la distribution. Trust Wallet y a beaucoup réfléchi, mais ce qui est en fait à l’origine de ce changement, c’est que l’IA peut désormais influencer la façon dont les utilisateurs interagissent avec tout ce qui se trouve en dessous. Il y a donc maintenant un nouveau banc d’essai méta pour : – Agents spécialisés affinés pour l’UX crypto (prévention de la fraude, routage des swaps, rails de sécurité) – Les portefeuilles comme couche identitaire – Une garde basée sur le choix associée à une automatisation pilotée par l’IA – Garde-fous pour garder le contrôle des utilisateurs même si l’agent devient malveillant OpenLedger fait de l’attribution le cœur de l’équité économique. Leur vision est de permettre aux utilisateurs d’apporter leur expertise, de la prouver cryptographiquement, puis d’acheminer les récompenses sur la chaîne. Votre portefeuille devient votre visage et votre chèque de paie. Que vous soyez un développeur de Solidity nourrissant un modèle ou simplement quelqu’un étiquetant les txs d’arnaque Web3, il y a du rendement. Nous passerons du clic sur l’échange à la mention « optimiser mes rendements ETH », et un agent fera le reste → Affiné sur les données DeFi, éprouvé onchain et rémunérant chaque contributeur qui a rendu la décision possible. Si OpenLedger réussit, $OPEN sera enfin la façon dont les connaissances seront finalement rémunérées.

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.