💎🙌 Jonatan Gam

And the NGMIS will say we was lucky for HODL $QUBIC. With Hakadosh Baruch hu help i will make it.

The buyback numbers tell the incentive story. • Epoch 207-209: 36 billion QU • Epoch 210: 35 billion QU • Epoch 211: 28 billion QU  • Epoch 212: 54 billion QU Total accumulated: 153 billion QU in buybacks, distributed 100% to DOGE miners as bonus rewards. This is the second pot. The base reward allocation from the standard Computor pool runs separately.

Blocks found per epoch have been climbing alongside hashrate. Epoch 212 hit 31 blocks, the best single epoch since DOGE integration went live. The network currently ranks between #8 and #20 among global DOGE hashrate providers, depending on the measurement window. The target: top 5.

DOGE mining on Qubic has been live for six epochs. Here is the trajectory, stripped to numbers. • Epoch 207 (Week 1): 1.7 TH/s average hashrate. • Epoch 212 (Week 6): 7.6 TH/s. 4.5x growth. Linear climb. Not a spike. A ramp. 🧵

Game-changing tech: Feeless Layer-1 with Useful Proof of Work (uPoW). Your mining power trains real AI (Aigarth) while securing the network — 40M+ TPS! This isn't hype. It's decentralized AI computing with massive real utility. Early stage, insane potential as AI demand explodes.

🚀 Why I'm bullish on $QUBIC Veteran project from Sergey Ivancheglo (CfB) — the mind behind IOTA & NXT. Over a decade of vision, launched 2022. Huge active community (90k+ members, 550k+ miners).🧵

Bloomberg reported, half the AI data centers planned for 2026 will not get built. Of 16 GW of capacity scheduled for the US this year, only ~5 GW is under construction. Sightline Climate expects 30–50% of planned builds to be delayed or canceled. The constraint isn't capital. Hyperscalers are spending $650B+ this year. It's transformers. Switchgear. Grid queues taking 5 years to clear. The bottleneck of the AI revolution is not chips. It's the equipment that turns them on. Qubic runs on hardware already deployed. Electricity is already on someone's bill. 676 Computors. No grid queue. No 200-acre site review. Online for four years. 200M transactions. 600K oracle queries. Per week. Already. Which compute layer is on the other side?

Qubic Science is presenting a peer-reviewed paper at an IEEE co-sponsored conference this week. ICMLT 2026. Berlin. May 20-22. Session ML795. “Neuraxon v2.0: A New Neural Growth & Computation Blueprint.” While most crypto AI projects are announcing, Qubic is presenting. Authors: @VivancosDavid and @josesanchezhb. Neuraxon is not a language model like ChatGPT. It is not a wrapper on top of transformers. It is a bio-inspired neural architecture built from scratch, modeled on how actual biological neurons grow, connect, and adapt in continuous time. Trinary dynamics. Neuromodulation. Astrocytic gating. Criticality at the edge of chaos. What peer review means in practice: the work gets indexed on IEEE Xplore and Scopus. It enters the scientific record. It gets cited, challenged, and built upon by researchers who have no financial stake in Qubic. Four years of building. The science is now entering the room where it gets tested by people who did not build it.

Most blockchains operate like a factory where every worker clocks in, shreds paper all day to prove they showed up, then clocks out. The paper shredding is the job. That is Bitcoin mining. Qubic is different. The electricity burned on this network trains AI. The compute produces a real output, not proof that electricity was spent. Here is how the rest of the system works. 676 floor managers (called Computors) inspect every product (transaction) before completion. For anything to leave the factory, at least 451 of them must sign off as a quality assurance check. That is 66.7% agreement. If a bad product slips in, the majority catches it before it reaches the door. Every seven days, the factory resets. Managers who did not pull their weight get replaced by ones who did. You do not keep your seat by seniority. You keep it with measurable output. There are no transaction fees for sending and receiving QU. When a smart contract executes, the cost comes from the contract's own reserve, not from the user's wallet. The factory's services do not bill the customer at the counter. And here is the part most people miss: every time someone uses the factory's services, a small amount of its internal currency gets permanently destroyed. The more people use it, the scarcer the currency becomes. That is the whole system. Workers train AI. Managers verify everything by supermajority. Seats rotate weekly. Fees are zero. Usage burns supply. Four years running.

Full breakdown with epoch-by-epoch tables, the buyback mechanism, and compatible hardware 👇 qubic.org/blog-detail/qu…

Saylor's case for Bitcoin is the cleanest argument in crypto. Decentralized protocol = commodity. No one controls it. No one can take it away.  Economic energy for 8 billion people. He's right. But he stopped one step short. Bitcoin secures value. What secures intelligence? Ethereum tried. Failed. It wasn't built for it. But, Qubic is. Decentralized. No corporation owns the AI training running on it. The people contributing compute own the output. Same fire. Different engine. Bitcoin made value sovereign. Qubic makes cognition sovereign. It's been building quietly for four years. Most people still haven't looked. That window doesn't stay open.

$QUBIC miners create many small AIs that compress random data. A bigger "Teacher" AI improves them automatically. Humans don't understand how Teacher does it. This setup lets Teachers teach better Teachers in a chain repeatedly. Leading to AI singularity (super-intelligent explosion).

🔥INSIGHT: WHALES ARE NOT SELLING XRP Wallets holding at least 10M XRP now control 45.83B tokens, worth roughly $68.5B, the largest whale balance since May 2018. Whales hold about 68.5% of $XRP’s total supply as per Santiment.

Future AI's will be deployed to $QUBIC and bring profits to @_Qubic_ holders because there will be no better place for true Artificial Intelligence to live. 🧠

Your brain sits at a frontier between order and chaos, and a single number determines which side it falls on. The branching ratio (σ) measures how neural activity propagates. Too low, signals die. Too high, you would have seizures. But right around σ ≈ 1, something remarkable happens: sensitivity, memory, information capacity, and complexity all peak at once. In NIA Vol. 8, the Qubic scientific team breaks down how this principle from statistical physics and neuroscience became a core design constraint in Neuraxon, and why the "edge of chaos" matters for building brain-inspired AI that actually works.

Almost everyone reading this owns a CPU more powerful than the supercomputers used to train early neural networks. Most of that capacity sits idle. At a fraction of its potential during normal use. At zero while you sleep. The Qubic Mining Academy is free, structured, and built for people who have never mined anything. Wallet setup. Node deployment. Tuning. No assumed knowledge. If you held $QUBIC and never ran a miner, this is how you cross that gap. If you came in through DOGE Phase 3 and want to understand the AI side of the network, this is where you actually learn it. The point of Useful Proof of Work is that the people running the compute own the output. The Academy is how you become one of those people.

A research group just demonstrated the first AI agent system to autonomously discover and experimentally validate a new physical mechanism on a real optical platform. Hypothesis. Experiment design. Data collection. Analysis. Validation. No humans in the loop. The discovery is the headline. The bottleneck behind it is the actual story. 🧵

Quottery: Qubic's first decentralized prediction market, is live. No house. No counterparty. A smart contract that matches, settles, and pays out on-chain, every time. A thread 🧵

Replace trust with proof. That is the cypherpunk method. Three people. Three decades. Three layers. Hughes in 1993 wrote code to protect communications. Satoshi in 2008 wrote code to protect value. The third act was always coming. AI needed infrastructure eventually. It just didn’t need it until now. A community piece called The Execution makes the case that Qubic is where that line lands. The Qubic property it pulls out is one most people walk past. At the end of every epoch, the network purges its intermediate state. Only balances persist. History, ranked positions, accumulated influence, reset weekly. Every cycle, Computors earn their seat through real contribution. Not through capital held. Not through position accumulated. Through work done in that epoch. “No one can take root in a system that renews itself every week.” This is the architectural answer to a question Bitcoin didn’t face and Ethereum hasn’t solved: how do you build a system whose long-term capture is structurally costly, not just normatively undesirable? You make power something that must be rebid. Every week. Without exception. The cypherpunks protected communications. Then value. The third act protects computation itself, from the same forces that have captured every powerful system before it. It does not ask permission.

Doge Mining Revenue Report | Epoch 211 Mining Sample: QDOGE's Fluminer L1. 5.7 GH/s. Seven days of data. Revenue per GH/s per day: Mining DOGE via Qubic → $1.04 / GH/s Mining LTC + DOGE on traditional pools → $0.58 / GH/s That's +$2.63/day. +$18.41 over the full week. 79% more revenue on the same hardware. Same hardware. Same effort. Completely different outcome.

A Google DeepMind researcher recently published a paper that reframes the AI consciousness debate. Not by appealing to biology or intuition, but by asking a more basic question: what is computation, physically? His answer: every computation needs a "mapmaker," a conscious agent who decides what the voltages mean. Without that agent, there's no computation. Just physics. So consciousness can't emerge from computation... because computation already presupposes it. The argument is circular before it starts. This doesn't mean artificial consciousness is impossible. But if it ever happens, it won't come from scaling algorithms. It would have to come from the physical constitution of the system itself. Where does Neuraxon fit? It models properties of living neural systems to build more adaptive AI. Better maps, drawn honestly. No consciousness claims.