Mind_Scar
267 posts

Mind_Scar
@Jerfaar
MindScar shares emotional short stories that reveal the hidden pain people carry and the lessons life teaches us.







let’s find a winner for this











Half the world fears AI more than it trusts it, as proven by a recent survey by Pew Research. Are we surprised? Of course not, because current “intelligence” runs on opaque training data, corporate gatekeepers, zero accountability, and is fully system-powered. What AI needs is a better infrastructure that flips the script, allowing open participation, transparent incentives, and much more human involvement. That’s decentralization, and that’s where the trust will be built. 🔗Source: economicsobservatory.com/who-trusts-ai









The majority of RWA initiatives fail due to inadequate verification, not low yields. With PoAI, @Metasoilverse is altering that by yielding only after authentic activity has been confirmed on-chain. $MSVP #RealFi #BingXBlast @BingXOfficial


Something new just dropped at @0G_Labs: 0G Agent Skills. 🤖 Claude Code, Cursor, and GitHub Copilot aren’t just autocomplete anymore, they’re now specialized 0G Labs developers. Connect your IDE, ask, and get working TypeScript + Solidity (Cancun) code every time. Skills unlocked: ✅ Storage: upload/download files with Merkle verification ✅ Compute: AI chat, text-to-image, speech-to-text, provider discovery ✅ Chain: deploy/interact with Solidity contracts, scaffold new 0G Labs projects ✅ Cross-Layer: link on-chain refs to off-chain data, AI inference with persistent storage 👉 Runnable examples: file-vault, AI chatbot, NFT with metadata, AI image gallery The gap between “idea” and “working dApp” just vanished. This is how 0G Labs scale the dAI ecosystem. 🛠️ Explore it yourself → github.com/0gfoundation/0…� Source: x.com/0G_Labs/status… _________ Let’s talk about DGrid_AI Request-Execution-Verification loop.🔥 ✅ DGrid_AI nodes aren't just "servers." They are specialized execution environments. ✅ They host everything from 7B lightweights to 70B+ high-perf models like Llama-3. ✅ Every inference task is backed by PoQ (Proof of Quality). In Simplicity, If the node cheats, it gets slashed. If it delivers, it earns. Pure meritocracy for the AI era. 📉⚡️





