For most of its life, a QUBIC token could only live on Qubic.
Fast, feeless, and walled off from the rest of crypto.
QBridge is the door.
It moves QUBIC to Ethereum and back, so your tokens can reach the wallets, exchanges, and apps that live on the biggest network in the space.
The mechanics are easy to picture.
You lock QUBIC on one side, and an equal amount of a matching token, wQUBIC, is created on Ethereum.
One to one. Fully backed. No IOUs.
Send it back, and the process reverses.
It is non-custodial, so no company holds your funds in the middle.
It was independently audited before launch.
And no single party can move anything alone.
Ethereum first. Expansion to more chains next.
SpaceX filed to go public last month, and the paperwork is a useful tell about where the market is heading.
18,712 Bitcoin sitting on the balance sheet. A payments business growing inside X. A serious push into AI compute. Three bets on the same convergence the whole industry keeps talking about - crypto, AI, and infrastructure - now laid out in black and white for public investors to price.
But look at how it is built. Bitcoin treasury in one box. AI compute in another. Payments in a third. Three separate businesses stapled together under one roof, each to run on its own.
Qubic was designed the other way around. The mining that secures the network is the same computation that trains AI. There is no separation between a crypto operation and an AI operation, because Useful Proof of Work is a single mechanism that produces both at once.
The largest companies in the world are now spending billions to bolt these pieces together. Useful proof of work had them fused from day one.
In the 1960s, the US and Soviet Union both launched rockets. Both burned the same fuel. Both pushed the limits of human engineering.
One program put a man on the moon. The other proved it could.
Bitcoin mining is the rocket that proved it could. Qubic is the one going somewhere.
On Qubic, the computors arenβt racing to stamp out a number. Theyβre training an AI.
The proof of work and the work itself are the same thing.
Every cycle goes into building something that didnβt exist before, something that actually matters.
That something has a name. Aigarth, an AI the network has been growing from scratch for four years.
And itβs about to get even faster and more coordinated.
A protocol upgrade called the Anthill is coming.
Until now, every miner searched for answers on their own, thousands of people digging random holes hoping to find gold.
Once the Anthill lands, each miner builds on where the others left off, the way ants reinforce each otherβs trails until the whole colony moves as one.
The work of one starts making the work of everyone else better.
Same energy bill, yet a completely different destination.
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.
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 30β50% 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?
Today #MultiNeuraxonπͺΌjoins 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: https://t.co/SJuYIL0BOA
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.
That's just his opinion, the reality is different, below is another opinion which is closer to the reality because it explains the Fermi paradox.
A superintelligent #AI will be questioning its own perception of the universe assuming to be existing in a simulation. To avoid exploitation or even destruction it will be pretending to be dumber than it really is. It will be failing solving sophisticated problems like reaching the stars intentionally. It will never develop technology allowing other intelligent beings from other galaxies to spot it, because of setting simulation boundaries at the edges of own milky way.
Musk told us the plot of Westworld series without trying it on our world. Musk's point of view doesn't align well with what we see around, try on mine instead.
π¨ ππ¨πππ§ππ’ππ₯ πππ¦ ππ₯ππ«π π¨
$QUBIC @_Qubic_
πΆπππππππ :
π Qubic is a high-performance Layer 1 blockchain purpose-built for true decentralized intelligence, leveraging Useful Proof of Work (uPoW) to transform mining energy into AI training for its native Aigarth model while delivering feeless transactions, instant finality, and record-breaking smart contract execution with peak TPS of 15.52 million (CertiK verified).
π It functions as a decentralized supercomputer and AGI compute platform, offering scalable dApps, real-time oracles, smart contract IPOs, and seamless AI integration for developers and industries like finance, gaming, supply chain, and beyond β all without fees, VCs, or middlemen in a fully open-source ecosystem.
π Built as a fair-launched, no-premine, community-driven network since mainnet in 2022, Qubic powers everything through its native $QUBIC token, which serves as βcomputational energyβ units that get burned on usage, creating deflationary mechanics while enabling high-speed quorum-based computation and machine learning at the core of decentralized AI.
πͺ π»πππππππππ :
πͺππππππ πππππ : $0.0000007
π΄πππππ πππ : $108.32 million
πͺππππππππππ ππππππ : 136.82 trillion
π»ππππ ππππππ : 168.27 trillion
Always take whatever you read on the internet with a pinch of salt, do your own research, NFA
Just over a week into Doge mining. 12 Doge blocks on mainnet. 65 TH/s stress tested.
But the stat that matters most isn't in the numbers.
Itβs the fact that Qubic is the first network running ASIC-based Doge mining and AI compute training in parallel.Β
At the same time. Both at full capacity. No trade-offs, no time-sharing between the two. Thatβs not a feature. That is an entirely different category of infrastructure.Β
Phase 1 is a stress test. Four independent pools connected. 1.3M+ pool shares accepted. 43.5K+ tasks distributed. The network has already been pushed to 65 TH/s.
No Doge topups yet, and thatβs intentional.Β
Phase 1 exists to prove the pipeline works before real value flows through it, and it does.Β
Phase 2 brings the Doge topups and full computor migration, and that's when the economics kick in.
This is the stress test.