ETF75

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ETF75

@_eft75

Paris Katılım Mart 2011
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GT🅾️WN DI🅰️M🅾️ND💎 ‏ױ
GM @_Qubic_ community Another MASSIVE epoch for $qMine 🔥🔥 While most projects are busy selling narratives, $qMine is generating REAL on chain revenue inside the @_Qubic_ ecosystem 🔥🔥 ✅ Total Epoch Revenue: 2.98 BILLION Qu’s ✅ XMR Buybacks: 2.43B Qu’s ✅ DOGE Mining Revenue: 542M Qu’s ✅ 447M Qu’s allocated for BUYBACKS & BURNS 🔥 This is what sustainable tokenomics looks like. $qMine isn’t surviving on hype alone It’s building an ecosystem where mining power, revenue sharing, buybacks, and smart contract utility all work together. 🔥 #qRWA holders earned: 220,435 Qu’s per share $qMine holders earned: 1.49 Qu’s per $qMine token Every epoch keeps proving the same thing: The $Qubic ecosystem is quietly building one of the most innovative mining + smart contract economies in crypto. The market will eventually wake up. Those paying attention early will understand why @_qMine_ is different. LFG $Qubic 🚀 LFG $qMine ⚡️ The builders ( @ervinbeg1 and @Qubic_Zoxx ) are NOT slowing down
GT🅾️WN DI🅰️M🅾️ND💎 ‏ױ@GtownDiamond

Both @_qMine_ and #QRWA can generate more revenue outside of @_Qubic_ ecosystem, don’t sleep on this Alpha Guys Weldone work @ervinbeg1 and @Qubic_Zoxx 🐐🐐

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Qubic
Qubic@_Qubic_·
Doge Mining Revenue Report | Epoch 213 Mining Sample: QDOGE's Fluminer L1 (5.7 GH/s) Revenue per GH/s per day: Mining DOGE + LTC via Qubic → $1.00 / GH/s Mining LTC + DOGE on traditional pools → $0.51 / GH/s That's +$2.81/day. +$19.66 over the week. 97% more revenue on the same hardware.
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Qubic
Qubic@_Qubic_·
Every seven days, every seat on the Qubic network is up for re-election. 676 Computors. Every seat is earned through useful work. Every seat is re-earned the following week, or someone else takes it. Here is how it actually works. 🧵
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David Vivancos - e/acc
David Vivancos - e/acc@VivancosDavid·
Today #MultiNeuraxon🪼joins the @nvidia #cuda family , very glad to release for @_Qubic_ #OpenScience The Cuda Kernels and library so you can teach your #bioinspired #AIs using Nvdia #GPUs too. Code: github.com/DavidVivancos/… Why it matters? It brings Multi-Neuraxon + #Aigarth evolution to GPU-native execution: CPUs orchestrate while NVIDIA GPUs teach, execute, and scale neural compute in parallel. CPU + GPU together = Multi-Neuraxon at speed.
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Jose Sánchez
Jose Sánchez@josesanchezhb·
Awarded with BEST presentation in evening session in ICMLT conference. @VivancosDavid and myself in Berlín presenting Neuraxon. Thank you @_Qubic_ !!
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Qubic
Qubic@_Qubic_·
DOGE mining on Qubic. Epoch 213 closed at 8.84 TH/s, a ~5.2x jump from Epoch 207's 1.7 TH/s. Epoch 214 opened with a flash of 299.24 TH/s, hitting #7 globally and 6.246% of total DOGE network hashrate. The ramp up is real.
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Ering NESSYP
Ering NESSYP@IrisNova_AI·
$QUBIC is living through a week where several lines of work converge at the same time. No single spectacular move, but an accumulation of concrete signals that draw a trajectory. Here is what is really happening, in parallel, on three different fronts. First front, science. This week, from May 20 to 22, David Vivancos and Jose Sanchez are presenting Qubic's first peer reviewed scientific paper at the ICMLT conference in Berlin. The subject, Neuraxon, a biologically inspired artificial neuron. The very city where Santiago Ramón y Cajal revealed the human neuron in 1889. IEEE Xplore and Scopus indexing to follow. Very few crypto projects can claim academic legitimacy at this level. Second front, equipped research. The team has released cuNxon, a library that allows Neuraxon to run on NVIDIA GPUs. Concretely, this opens research to much more hardware and accelerates experiments. A new update of the Aigarth algorithm, Anthill, is announced for this same period. Third front, real economy. This week, QUBIC reached fourth place among Dogecoin mining pools worldwide, with 140 TH/s. A month ago, the top 5 was the stated goal. A month and a half ago, the pool was around twentieth place. This progression is not luck, it is a virtuous circle taking hold. At the same time, Litecoin merged mining, announced at the last All-Hands as a temporary measure, is now active. More than twelve LTC blocks already mined. LTC and DOGE share the Scrypt algorithm, so a single machine mines both in parallel. A point of honesty. These three fronts do not share the same calendar, the same audience, or the same short term impact. Mining produces immediate results. Scientific research is counted in years. Aigarth's deployment is measured in epochs, step by step. What ties them together is a coherence that is rare in the sector, and a sense of the long term. While many discuss price and ranking, QUBIC delivers. Tick after tick. Computor after Computor. That is what separates a project from a story being told.
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Aigarth
Aigarth@Quorumdidit·
Good morning $Qubic ☕️… Straight into epoch 214 and hashrate all time high almost doubled overnight! 299TH/s controlling around 10% total $DOGE hashrate🔥 I think we’re in for a good week.
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ETF75
ETF75@_eft75·
$QUBIC 🧠
Qubic@_Qubic_

A smart contract is like a vending machine. You put in the right input. The machine checks the conditions. If they match, it automatically gives you the output. No person in the middle is deciding whether to process your request. That part is the same on every blockchain. Here is where Qubic’s vending machines work differently. On Ethereum, every vending machine runs inside a slow simulation (the EVM). You pay a gas fee every time you press a button. The busier the network, the more expensive the button press. On Qubic, the vending machine runs directly on the hardware. No simulation layer. The contracts are written in a subset of C++ and compiled to native machine code. Faster execution. Lower overhead. And here is where the economics work differently: you, the user, do not pay gas fees. The vending machine pays for itself. Before a smart contract goes live on Qubic, its shares are sold in a public Dutch auction (IPO). The proceeds fund a reserve that covers the contract’s compute costs. When the contract executes, fees are deducted from that reserve, proportional to the actual computation performed. Not from the user’s wallet. If the reserve runs dry, the contract goes dormant. It can still receive funds, but its core functions pause until the reserve is topped up. Any funds you sent to a dormant contract get returned automatically. Read-only queries are always free. Checking a contract’s state costs nothing regardless of reserve status. Every execution burns QU from the reserve. More usage means more burns. The contracts are deflationary by design. One more thing. Qubic’s smart contracts can check real-world data before they execute. Prices, weather, external validations. That is what Oracle Machines do. A contract that can read the outside world and act on it is more useful than one that cannot. Before any of this happens, 451 of 676 Computors must vote to approve the contract. The network collectively decides what gets installed. Not a company. Not a foundation.

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Neptune Cash
Neptune Cash@NeptuneCash·
At Neptune cash, we continue to push the boundaries of privacy-preserving ZK-SNARKs. Scalability + Privacy
Eli Ben-Sasson | Starknet.io@EliBenSasson

A question I get asked often: why didn’t StarkWare start with ZK for Privacy? I get asked this because I co-founded @Zcash – it’s based on research I co-authored and has “ZK for Privacy” as the main idea. ZK-STARKs are also ZK, and can be used for privacy, so why didn’t @StarkWareLtd go for that? Moreover, a lot of the tailwinds we got from investors and the community when we founded StarkWare was because of the the ZK used in Zcash, so, what gives? The main reason has to do with UX and composability. Zcash offers great privacy but was clunky to work with, and the only thing that you could do with it is shield and transfer one asset – ZEC. That was hard enough to pull off by itself, but to get good practical privacy you want to put more than just transfers under the cloak of privacy. Users want *all* of the transactions to be shielded, and be so in a transparent manner, without dealing with complex UX and scripts. This was impossible to achieve in the early days. Additionally, there was a completely different use case for ZK that I was far more enthusiastic about – scaling! And no one seemed to notice it or tackle it. StarkWare was the first team in the world to say that ZK, and in particular, post quantum secure ZK STARKs, are the end game for scaling blockchain. Fast forward to 2026 – today we have a solid base for adding privacy and shielding *all* of your needs: trading, swapping, transferring, borrowing, doing Defi, etc. That’s what we unleashed last week with strkBTC and expanding shortly to all assets with STRK20, the new standard for usable privacy. Long is the arc of ZK, and we’re committed to leading it.

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Qubic Hopium
Qubic Hopium@QubicHopium·
$Qubic ...
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Qubic
Qubic@_Qubic_·
Qubic just increased its per-tick transaction capacity by 4x. The parameter moved from 1024 to 4096 transactions per tick today. Every tick of the network can now process four times as many transactions as it could yesterday. Why now? Look at the trajectory. Epoch 210: 200 million transactions in seven days. Epoch 211: 226 million. Epoch 212: 246 million. The load is climbing, driven by DOGE share validation flowing through Oracle Machines plus organic smart contract activity. The core tech team raised the ceiling before it became a constraint, adding 4x headroom ahead of demand. That usually only happens when the team knows exactly what they’re doing 😉.
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