gQuip CT 💚 What if developers could write once and compute across quantum and classical hardware? ⚛️ That’s the idea behind Quip Network’s latest milestone. On October 20, @quipnetwork announced that its Quip Virtual Machine (QVM) is live on the Aglais testnet, bringing quantum and classical computation under one programming environment. Today, developers often face fragmented tools, different hardware requirements, and separate pricing models. QVM aims to reduce that friction with a constraint-based language that lets developers describe a problem without manually building everything around quantum gates or a specific machine. The interesting part isn’t just access to quantum hardware. It’s the infrastructure around it. 🔹 One programming layer for supported quantum and classical systems. 🔹 Predictable costs: the maximum execution cost is quoted before a job runs. 🔹 Verification: results are checked against classical computation and independent benchmarks, with cryptographic attestations linking results to the hardware that produced them. QVM launches with D-Wave support, classical validation, and free compute credits for new testnet users, while additional hardware integrations are planned. Quantum computing still has real limitations, and a testnet isn’t proof that every workload benefits from quantum hardware. But making experimentation more accessible, measurable, and verifiable is a meaningful step. The future of computing may not be quantum versus classical. It may be knowing when to use each. Explore the testnet: aglais.quip.network/ #QuipNetwork #QuantumComputing #Web3

gVANGRID Most maps show us where the world is. @vangrid_io is exploring how to make the physical world usable as digital infrastructure. Imagine capturing a real-world location with nothing but your phone. That footage can become spatial data, be transformed into 3D models, and be linked to onchain proofs that help establish its authenticity. That’s what makes Vangrid interesting. We’ve spent years building digital worlds while leaving much of the physical one poorly represented. Now, AI, accessible cameras, and decentralized infrastructure are opening new possibilities. Reliable spatial data could become essential for AI training, robotics, simulations, and applications we haven’t even imagined yet. The real challenge isn’t simply digitizing the world. It’s collecting accurate data at scale, verifying its origin, and creating incentives for people to contribute. Vangrid’s approach to real-world location capture is worth watching because it connects everyday participation with a potentially valuable digital infrastructure layer. Maybe the next evolution of the internet isn’t about escaping into virtual worlds. Maybe it’s about making the real one digitally understandable. Explore: data.vangrid.io

🔥SoSoValue Daily Crypto Hot News｜ Oct 28, 2026 1/ Meta slightly increased its stock financing plan to $97.5 billion, with the potential maximum financing amount reaching $103 billion 2/ Data: Sun Yuchao increased his PEPE holdings by approximately $51 million within 10 days, holding nearly 3% and becoming the largest individual holder 3/ Predicate completed an $8 million Series A round, led by Blockchain Capital 4/ CF Benchmarks launches on-chain pricing service, enabling the indexing data of BlackRock's Bitcoin ETF to be recorded on the blockchain 5/ Turned from loss to profit on a quarter-over-quarter basis, Galaxy Digital posted a third-quarter net profit of $323 million 6/ SK hynix's U.S. subsidiary plans to invest $45 billion to build a plant, and is in negotiations with the U.S. Department of Commerce 7/ Luxor Technology completed a $16 million strategic financing round led by CMT Digital 8/ Coinbase will list Stable (STABLE) for spot trading 9/ Predict.fun: Approximately 400,000 USDT of user funds were unauthorizedly transferred, and full compensation will be made. 10/ BNY Mellon supports XRP and RLUSD custody, and explores tokenized trade financing with Ripple @SoSoValueCrypto

gRARE ct💛🧡 What if your content could become more than just another post on X? 👀 That’s the idea behind @rarelistio . Rarelist connects creators with curated early-stage projects, turning meaningful contributions into opportunities. Discover campaigns, share original insights, earn RARS, and climb the leaderboard. Season 1 features a $50,000 prize pool, while new campaigns like @agentdojo bring fresh ways to participate and compete. What I like most is the focus on contribution, not just noise. In a space flooded with copy-paste content, having a reason to explore a project and develop your own perspective matters. Create with purpose. Build your track record. Find what’s rare before everyone else does. 💎 rarelist.io/r/Raven_slb #Rarelist #Web3

gVANGRID ct 🧡🥱 AI has learned to speak about the world. Now it needs to learn how to see it. 🌍 @vangrid_io has announced a $9M raise, backing a bigger ambition: building the spatial data infrastructure that Physical AI and autonomous systems desperately need. LLMs learned from text. But robots, autonomous agents, and world models need something different: accurate, ground-level information about the physical environment. Satellites miss the details that matter at street level. Dedicated mapping fleets are expensive to scale. Meanwhile, billions of smartphones are already in people's pockets. Vangrid turns that untapped potential into a decentralized perception network. Contributors capture real locations, footage is reconstructed into 3D spatial models, and onchain attestations help establish data provenance. The network is becoming more than a collection of captures. Its bounty system lets buyers request specific locations, contributors fulfill those requests, and verified work get paid in USDC. And the latest reported numbers show meaningful progress: 📍 1.25M+ captures 🌐 450K+ users 🔗 4,700+ attestations 💵 $600K+ in USDC settled These aren't just vanity metrics. The real test is whether Vangrid can connect verified spatial data with the people and AI systems that need it. That’s the opportunity: turning the physical world into a data layer that intelligent systems can actually use. The next AI frontier isn't only about smarter models. It's about giving them better ground truth. The grid is inevitable. Explore: data.vangrid.io/ #Vangrid #PhysicalAI #DePIN

GM gQuip CT 🧡🥱 WHAT IF YOUR CODE DIDN’T CARE WHICH COMPUTER SOLVED THE PROBLEM? That’s the idea behind @quipnetwork QVM, now live on the Aglais testnet. Quantum computing has a portability problem. Different machines speak different languages, and moving a workload between them can mean rewriting the entire approach. Quip is building a different path. ⚡ Write the problem once. 🧠 Compile it for quantum or classical hardware. 🔍 Verify the result instead of blindly trusting it. QVM combines a shared execution environment with gas-based pricing, upfront cost limits, and multiple layers of result verification. And it goes beyond computation: quantum smart contracts bring this execution model onchain. The bigger opportunity isn’t simply accessing quantum hardware. It’s making that computing power programmable, verifiable, and accessible through a common infrastructure. Quantum computing needs more than powerful machines. It needs a system that makes them work together. That’s what makes @quipnetwork worth watching. Explore QVM: quip.network/qvm/ #Quip #QuantumComputing

GM, gRARE ct 💛🧡 WEB3 DOESN’T NEED MORE NOISE. IT NEEDS CONTRIBUTORS WHO ACTUALLY ADD VALUE. That’s the idea I find interesting about @rarelistio . Instead of treating every project as another isolated campaign, Rarelist connects creators with emerging projects through a platform where content, participation, and contribution can translate into rewards. Season 1 is live with a $50,000 prize pool. Creators can publish on X, earn RARS, climb the leaderboard, and work toward future $RARE conversion. What matters now is whether the platform can reward genuine insight over recycled narratives and empty engagement. Because the real test of a creator rewards platform isn’t how many posts it generates. It’s whether those posts help people discover, understand, and support projects worth paying attention to. I’m watching how @rarelistio approaches that challenge. 👀 🔗 rarelist.io/r/Raven_slb #Rarelist #Web3