i’ve got 3 unspent @dac_chain mainnet accessing codes ready to give away. if you’ve been waiting to join the mainnet mission, these codes lets you in. 1) LC-3KDN-P3NW-5F5P 2) LC-Y4BV-4V9Q-NESX 3) LC-H7VN-PPJ3-RTC9 head to interstellar.dachain.io/ and try your luck. first come, first served. DAC to farout.

thank you @dac_chain for the clarification. the fact that the team sees the rumors circulating on ct and addresses them in a timely manner says a lot about how they communicate with their community. the team clarified the allocation distinction: → grant allocation: subject to the 24-month vesting schedule published in the tokenomics. → community airdrop: a separate allocation that will not be subject to that vesting schedule. the final airdrop numbers and distribution details are still pending the team's dedicated announcement, so let's not treat random figures circulating on ct as confirmed. with tge approaching, clear communication matters. it's good to see the team addressing confusion instead of letting speculation run wild. DAC to farout 🚀

gm keepers 🐉 my plan for this week is to follow more keepers, explore the community, and engage with what you all are sharing. if you're a keeper, drop a gm. let's connect 🤝 @Pocket_Dragons_ #CollectFi

the more i look at @QuipNetwork, the more interesting the architecture becomes. because the vision isn't simply to give people access to quantum computers. it's to connect the pieces needed to make distributed quantum compute usable. start with the hardware. quip's network brings compute providers and consumers together, with different subnets serving different workload types. then comes qvm. one constraint-based programming language and runtime designed to connect quantum annealers, gate-based quantum systems, and classical machines through a shared programming layer. developers can publish programs, and the network is designed to let them earn when those programs are run. then there's quipswap, the settlement layer handling payments across the ecosystem with quantum-resistant signatures. each component addresses a different part of the problem: compute access. program portability. verification. economic coordination. settlement. the qvm is now live on the aglais testnet, with d-wave support and ionq support coming. researchers at monash university, the university of notre dame, and purdue university are testing the qvm. sic systems is also exploring industrial optimization applications. these are early signals of interest, not proof of mass adoption. but they show the range of problems the infrastructure is being explored for, from academic research to industrial optimization. the opportunity is compelling if quip can make these pieces work together reliably at scale. quantum hardware doesn't become an accessible computing platform just because the machines exist. developers need usable tools. businesses need understandable costs. users need verifiable outputs. and the network needs a practical way to coordinate supply and demand. that's the bigger picture behind qvm. not just quantum hardware. an attempt to build the software and economic infrastructure around it. still early. still needs to prove itself. but definitely worth watching.

here's a question that deserves more attention in decentralized compute: what happens when a machine gives you an answer, but you have no reliable way to verify how that answer was produced? in ordinary computing, we already think about reproducibility, integrity, and trusted execution. with distributed quantum compute, those questions become even more interesting. @QuipNetwork is building verification directly into the qvm workflow. every computation goes through three layers of checking: 1. classical simulation to cross-check quantum outputs. 2. independent classical benchmarking to evaluate the result on separate hardware. 3. cryptographic attestation linking the result to the hardware that produced it. these layers serve different purposes. simulation provides a comparison. independent benchmarking adds another reference point. cryptographic attestation helps establish the provenance of the computation. together, they form a framework designed to make results more auditable instead of asking users to blindly trust an operator's word. and this fits into quip's bigger architecture. the network connects compute demand with hardware providers, routes jobs to suitable machines, and uses verification as part of the workflow. because decentralized compute is not just about distributing workloads. it's also about making the outputs useful and trustworthy enough for other people and systems to rely on. verification alone doesn't guarantee every result is correct. the strength of any system depends on its implementation, assumptions, and threat model. but making verification a first-class part of the infrastructure is the right problem to work on. compute creates the output. verification helps establish why that output deserves to be trusted. that's a distinction worth understanding.

my youkie understood the assignment, hehe showing love to nessa and the whole @YoukieVerse community 💜 btw, @YoukieVerse is more than just cute nft characters. it’s games, community, tools, and a bigger vision for building real products and sustainable value around nfts.

Who here knows the people behind @Pocket_Dragons_ ? 👀 Meet the team bringing Pocket Dragons to life 🐉 @djsamwithers Product @TradingJoker Engineering @plooshGWIN 3D Art @HeartyOfDaCards Community Behind every great project is a team putting in the work.From building the Hatchery to creating the art and welcoming new Keepers,these people deserve some recognition. If you're following the @Pocket_Dragons_ journey, go show the team some love.Follow them, support their work and help the community grow. Let's give the people behind the project the recognition they deserve 🐉

imagine putting a quantum solver and a classical solver head to head 1,930 times. not in a theoretical discussion. not in a presentation about what quantum computers might do someday. in an actual live demonstration. that's what @QuipNetwork reported at quantum.tech world with its qvm-powered portfolio optimization demo. around 100 visitors created portfolio optimization problems. each problem was solved by both a quantum solver and a classical solver. the results? the quantum solver matched or beat the classical solver in all 1,930 races, according to quip. when the results differed by more than 0.5%, the quantum solver produced the better portfolio by a median of 2.56%. both solvers typically returned results within 0.1–0.3 seconds. so the reported difference wasn't about one solver simply being faster. it was about the quality of the resulting portfolios. now, context matters. this was a specific optimization workload and a particular demonstration, not proof that quantum computers outperform classical computers at everything. but that's exactly why the result is interesting. the real question isn't whether quantum is automatically better than classical. it's whether quantum methods can deliver measurable advantages on specific problems that matter in the real world. portfolio optimization is one place to investigate that question. and qvm provides the programming and execution layer through which these workloads can be explored. the future of quantum compute will need more than big promises. it will need benchmarks, reproducible results, and evidence that the technology can create value. 1,930 races is a data point worth examining. now i want to see what developers build with it.

6,000 Pocket Dragons coming this november

already on stage for the @Pocket_Dragons_ AMA. 🐉 only a hour left to kick off last week nearly 1,000 keepers showed up, and this time we're here for all things mint. with the unknown life signature spotted in the shadows and a few surprises teased, i'm curious what the team has in store for us. also keeping my eyes on that ama badge. gotta stay till the end. the dragon lore is getting interesting. let's see what we here today. 🥚🔥 🐲

one of the biggest barriers to using new technology isn't always performance. sometimes, it's not knowing what the bill will look like. quantum computing has a version of this problem. different providers. different pricing models. different hardware. a complicated path from experimenting in a lab to budgeting for a real workload. @quipnetwork is approaching this differently with qvm. every computation is priced in gas, based on three factors: - qubit space - execution time - entanglement the maximum possible cost is quoted before execution begins. that last part matters more than it might seem. when developers can estimate the cost of a computation before running it, experimentation becomes easier to plan. teams can compare workloads, evaluate potential value, and decide whether a particular quantum approach makes economic sense. quip's model is designed to bring a more consistent pricing framework across different compute architectures, rather than forcing users to navigate a separate billing model for every machine. qvm is live on the aglais testnet, where new users can also access free compute credits. at mainnet, computation will be priced in QUIP. quantum computing still has real technical and commercial challenges to overcome. predictable pricing won't solve all of them. but infrastructure becomes much more useful when people can understand not just what it can do, but what it costs to use. that's the part of quip's qvm launch i'm watching closely.

i applied for the @nodiens interview campaign. they're inviting users to a 45-minute interview and offering 50 USDC/USDT for your time, plus 200 points. but the bigger win is helping shape a platform we're actually using. if you use nodiens, apply and be honest about what works, what feels confusing, and what needs improvement. don't just chase the reward. give feedback that helps build better nodiens.

ty @FomiesNFT @muchl33t i don’t wanna see unserious pjs on my tl

the countdown is almost over… tomorrow’s @Pocket_Dragons_ ama could reveal everything we’ve been waiting for. > total supply, > mint mechanics, > legendary 1/1s, > burning, > buybacks… the biggest pocket dragons secrets are about to come to light. don’t miss tomorrow’s ama, keepers. you won’t want to hear these revelations secondhand. 🥚👀🐉

MemeCore $M is leading the gainers on my @nodiens radar, but the data tells a more interesting story. > 24h volume: $4.37M (+68.8%) > 7d volume: +236% > sentiment strength: 244/272 > community health: 71/100 but there’s a catch. sentiment intelligence sits at -38, market intelligence at -75, and price drawdown is still 83.56%. money is moving, but the broader signals remain weak. this is why i use nodiens. green numbers alone don’t tell the whole story. is $M gearing up for a comeback, or is this just a volume spike?

gQuip 🦋 you might never own a quantum computer, and you might not need to. what matters is having access to the right compute when you need it. that’s the bigger idea behind @quipnetwork. connect users with available hardware, reward useful computation, and let different resources tackle the problems they’re best suited for. the future doesn’t have to be about owning every machine. it can be about building a network that makes powerful compute more accessible. less focus on who owns the hardware. more focus on what we can solve with it. 🔮