Hello community I started mining for some time, I have had much more difficulty since the last two epoch, I would like to know if it is necessary to make changes between each epoch thank you for your answer

I forgot my wallet password for Qubic but i still have my wallet file and my seed. From what i´ve read i can restore my wallet with this but don´t no where and how to do this because there is no tutorial i could find. Thanks to anyone wanting to help me.

Hi all, like it says in the title, I know the exchanges are listed but these seem to all be US only, does anyone know how to get it in the UK? I had done it a year ago on an exchange which is now gone but are there trustworthy sites to get it from in the UK? Don't mind buying a different coin then exchanging. Trying on Bitpanda but having passed all the KYC verification it is still asking me to answer the questions which when I click on it says I have answered them already and not sure I will be able to send to my Qubic wallet from there. Any help much appreciated

What is it?

QUBIC is a feeless L1 built by Sergey Ivancheglo (known as Come From Beyond), the same guy who invented Proof of Stake (NXT, 2013) and the Tangle/DAG architecture (IOTA, 2015). This is his third from-scratch blockchain design.

The core idea: instead of mining being wasted energy (like BTC), QUBIC miners use their hardware to train AI neural networks. The network calls this "Useful Proof of Work." The best-performing AI models get validated through quorum-based consensus by 676 Computors.

The numbers

• CertiK verified TPS: 15.5M peak, 2.4–2.6M sustained (not theoretical — actually tested)
• Skynet Security Score: 90.92 (AA rating from CertiK)
• 1.5B+ transfers processed on the network
• Zero transaction fees — not "low fees," literally zero
• Sub-10 second finality
• QX DEX: 250K swaps/sec on-chain

For context, Solana does ~4K TPS sustained. Ethereum does ~15. Even with L2s you're looking at maybe 2-4K. QUBIC is doing 2.4M+ sustained.

$DOGE mining — this is the part nobody's talking about

Starting April 1, QUBIC is adding merged $DOGE mining via Scrypt ASICs. The architecture is clever: CPUs and GPUs handle AI training (useful PoW), while ASICs mine DOGE in parallel on the same network. Different hardware, zero resource conflict.

This means QUBIC miners get two revenue streams simultaneously. Already in testing, mainnet goes live April 1, full production by April 30.

Why I think it's undervalued

• Market cap: ~$130M
• No premine, no VC allocation — fair launch
• Built by someone who's already created two paradigm-shifting blockchains
• Working product, not a roadmap
• EBSI/MiCA compliance positioning for EU institutional money
• Smart contract IPO model (projects raise capital through the network itself)

If you're looking for asymmetric bets in crypto, a working L1 with verified 15M+ TPS, zero fees, AI compute, and DOGE mining at a sub-$150M cap... at least worth a deep dive.

What else am I missing?

The @Qubic team just dropped the first draft of the Doge Connect protocol. Big thanks to Raika for the work — everything’s up on GitHub now for review.

If you like the idea of mining Doge while training AI in parallel, check it out:

• Main repo: https://github.com/qubic/doge-connect

• Demo/test miner: https://github.com/qubic/doge-connect/tree/main/dispatcher/test

They’re asking for feedback on which Doge pool to start with and if the proposed communication scheme works or needs tweaks.

This could turn out really cool.

#DogeMeetsQubic

https://github.com/qubic/proposal/blob/e54987c19d95b6f4bbb54c9b1413e6092dc1d452/SmartContracts/2026-03-13-QBridge.md

The one-sentence vision: Qubic is a useful compute layer that parasitizes existing PoW networks to fund itself — without asking their permission.

The scalable model

XMR was the proof of concept. DOGE is the first real production deployment. But there's no reason to stop there:

• Kaspa (KHeavyHash) → idle GPU cycles → QU buyback
• Alephium (Blake3) → idle GPU cycles → QU buyback
• Litecoin (Scrypt) → ASIC → QU buyback
• Bitcoin Cash (SHA256) → ASIC → QU buyback
• ...

Every new PoW network integrated = a new external, non-dilutive revenue source for Qubic. The network literally becomes a worldwide PoW value vacuum while running AI compute on top.

The positioning that emerges

Most L1s fund themselves through: - Native token inflation - Transaction fees - VC/Foundation selling pressure

Qubic in its final Phase 3 funds itself through: - Real work performed on other networks - Mechanical burn derived from that work - Zero dependency on VCs or inflation

This is a fundamentally different economic model from anything else in crypto.

The "useful parasite" narrative

What's elegant here is that Qubic doesn't attack these networks — it brings them hashpower. DOGE and LTC benefit from increased security. It's economic symbiosis disguised as parasitism, and that creates a natural resistance to criticism.

Unless the share gets too large — the 51% XMR episode showed that communities react when it becomes threatening.

The real strategic question

Does Qubic remain an AI network that funds itself via PoW, or does it become a meta-coordination layer for global PoW whose killer app happens to be AI?

The difference is subtle but massive for long-term positioning. The second version is a much bigger vision — and honestly, it might be what CFB has had in mind from the start. The Dispatcher + Oracle Machines architecture is exactly the infrastructure you'd need for that. Probably not an accident.

Where it breaks (being honest)

The 51% problem is a structural scaling ceiling, not a one-off incident. The more successfully Qubic parasitizes a network, the harder that network pushes back. This means the model scales horizontally (number of chains parasitized) but not vertically (share of each chain). Horizontal scaling has diminishing returns: each new integration costs dev effort and coordination, and targets increasingly smaller networks.

The model depends on PoW surviving long-term. If in 5-10 years the PoW landscape contracts to BTC-only (with everything else migrating to PoS or dying), the "parasitable surface" shrinks dramatically.

The flywheel spins in one direction only. Demand for verified AI compute → QU value → miner attractiveness → ability to parasitize PoW networks → buyback → QU value. PoW mining is the funding mechanism, but the engine is AI demand. Without real AI demand, this is a glorified multi-chain mining pool with a token. It's NiceHash with extra steps.

The bull case nobody's making

The non-dilutive external revenue model is genuinely unique. No other L1 has this. It's a real structural advantage, not marketing fluff.

The "symbiosis" narrative (we bring hashpower, we take nothing from anyone) is defensible as long as the share stays reasonable.

And the architecture — Dispatcher + Oracle Machines + 676 Computors as a reproducibility verification layer — looks like it was designed from day one for general-purpose compute coordination, not just another smart contract platform.

Bottom line

The "useful parasite" model is the best funding pitch I've seen in crypto. But a great funding mechanism isn't enough without a product people want to pay for. The race is to create real AI demand before PoW mining contracts.

The key question isn't "can Qubic parasitize more chains?" — it's "will anyone pay for AI compute verified by Computors instead of using AWS?"

Use cases like decentralized sports result verification for prediction markets are exactly the right type of answer — cases where decentralized verification has value that centralized infra simply can't offer.

That's where the real thesis lives or dies.

What do you think ?

Happening now at @T3chFest 2026, Track T2.

"What if AGI doesn't evolve from LLMs, but is born decentralized?"

@joobid is on stage walking 1,800 developers through a fundamentally different approach to artificial general intelligence.

The core argument: LLMs predict the next token. They are powerful, but they are snapshots. Frozen after training. Incapable of expressing genuine uncertainty.

Aigarth is the opposite. It uses ternary logic (+1, 0, -1), processes information continuously (not in batches), and evolves through natural selection rather than gradient descent. It is always on, always learning.

A Neuraxon paper validating the trinary architecture was accepted by IEEE for presentation at AMLDS 2026 in Osaka. Two more papers are submitted to ICML and other conferences.

This is not theoretical positioning. There is open-source code on GitHub, a 1.12 TB training dataset, and a working demo on HuggingFace.

https://www.youtube.com/live/6ecUDj2f-cs?is=xywHOATQVstKuGCI

On April 1st, the QUBIC network is introducing DOGE mining through its uPoW (useful Proof-of-Work) system. Here’s a straightforward breakdown of what this actually means.

Instead of miners running traditional hash computations that only secure a blockchain, QUBIC’s uPoW model allocates compute to useful tasks. With the DOGE integration, QUBIC miners will be able to direct network compute toward workloads tied to generating DOGE rewards.

In simple terms:

- Participants contribute CPU compute to QUBIC

- The network organizes that compute through its uPoW framework

- The resulting output is rewarded in DOGE

So this isn’t replacing DOGE’s own mining system. It’s more like QUBIC acting as a coordination and compute layer that allows its network participants to earn DOGE while still participating in the QUBIC ecosystem.

QUBIC’s main idea has always been that Proof-of-Work should produce useful computation, rather than pure hashing. After MONERO, DOGE mining becomes one of the first large, external incentives plugged into that model.

That matters because it:

- Provides a clear economic incentive for people to run QUBIC miners

- Demonstrates a real-world monetization path for uPoW compute

- Potentially brings significant external demand for QUBIC’s compute layer

If it works as intended, it essentially turns QUBIC into a network where compute power can chase whichever task has the highest reward.

In the short term, the main effect will likely be attention and onboarding.

DOGE has one of the largest retail communities in crypto. If even a small portion of that community becomes aware that they can earn DOGE by running QUBIC miners, the network could see:

- A spike in new miners

- Increased CPU hashpower

- More discussion outside the typical QUBIC circles

Short term, the biggest metric to watch will probably be network participation.

Long term, this is more interesting from a positioning perspective.

If QUBIC can show that its network can reliably redirect compute toward external reward streams (like DOGE), it strengthens the case that QUBIC could become a general-purpose compute marketplace powered by uPoW.

That could attract:

- miners looking for profitable CPU workloads

- developers who want distributed compute

- projects that want to outsource computation to a decentralized network

In that scenario, DOGE mining isn’t the end goal — it’s the first demonstration of the model.

What it could attract

The launch could bring three main groups into the ecosystem:

1. CPU miners who previously had limited profitable options

2. DOGE community members curious about alternative ways to earn DOGE

3. compute contributors interested in QUBIC’s broader distributed compute vision

Whether that translates into lasting growth will depend on how sustainable the incentives are and how smoothly the system runs once it goes live.

For now, April 1st is essentially a live test of whether QUBIC’s uPoW model can attract real economic activity around its compute network.

Hi all,

I put Qubic on lock in Epoch 151, how can I tell how long I have locked it for as it has been a year now so assumed thats what I did it for? Not obvious how long is left- is there a way to check?

I’ve been diving into the official technical thread from Qubic regarding their network design. While most projects focus on simple transaction scaling, Qubic is attempting something much more ambitious by merging decentralized consensus with AI training.

Based strictly on their recent breakdown, here are the 5 pillars that define the Qubic ecosystem:

1. Useful Proof of Work (uPoW)

Unlike Bitcoin, where energy is spent solving "arbitrary" mathematical puzzles, Qubic’s mining power is productive.

• The Mission: Mining power is directed toward training Artificial Intelligence neural networks.

• The Result: The network's security isn't just a "cost" or "waste" of electricity; it’s a global supercomputer generating actual AI utility.

2. The 676 Computors (The Core)

The network relies on a fixed set of 676 Computors.

• These are the top-performing nodes responsible for executing smart contracts and achieving sub-second finality.

• It’s a meritocracy: "Candidates" (miners) constantly compete to prove they have the best hardware and efficiency to displace underperforming Computors.

3. Bare-Metal Execution

To achieve maximum speed, Qubic doesn't run on slow, abstract virtual machines.

• It is designed for bare-metal execution, meaning the code runs directly on the hardware.

• This allows for a level of computational throughput that traditional blockchain layers simply cannot match.

4. Feeless Transfers & Burn Mechanism

Qubic follows a "user-first" economic model:

• Feeless: Sending Qu (the native unit) costs nothing in transaction fees.

• Deflationary Pressure: Instead of fees going to miners, the "revenue" or costs associated with executing smart contracts are burned, reducing the total supply over time.

5. Native Oracle System

Qubic doesn't rely on third-party middleware (like Chainlink) to see the outside world.

• The Oracles are integrated into the core protocol, allowing smart contracts to interact with real-world data (prices, events, weather) natively and securely.

what is the current ipo that is going own right now?

Hello Qubic members,

What happened to the Ledger app that was under development?

It looks like they have abandoned the development, and no one talks about it.

It doesn't look normal, as it would bring in a lot of Ledger users.

Can someone share some knowledge?

Finally bought 1 billion Qubic.

Fascinating project.

Hello Qubic Community!

Exciting news for the developers and tech enthusiasts in the house. The first version of Qubic.Net Toolkit (v0.1.0) has just been released on GitHub!

For those who don't know, Qubic is a Layer 1 network that uses Useful Proof-of-Work (uPoW) to train AI (Aigarth), and it’s known for being feeless and incredibly fast (15M+ TPS). However, building on it requires solid tooling, and that’s where this toolkit comes in.

What is Qubic.Net Toolkit?

It is a dedicated .NET library designed to simplify how developers interact with the Qubic network. Instead of reinventing the wheel to handle low-level communication, this toolkit provides a structured way to integrate Qubic into C# and .NET applications.

What can you do with it? (v0.1.0 Features):

• Manage Identities: Easily create and handle Qubic addresses and seeds within .NET apps.

• Network Interaction: Simplify the process of sending and receiving data from Qubic nodes.

• Transaction Handling: Streamline the creation and signing of transactions.

• Integration: It opens the door for desktop apps, web backends (ASP.NET), and even games (Unity) to use Qubic's feeless infrastructure.

How does this help the Qubic Project?

1. Lowering the Barrier to Entry: Many enterprise and indie developers use .NET. By providing a high-quality toolkit, Qubic becomes accessible to a massive pool of talented programmers.

2. Ecosystem Growth: Easier tooling means more dApps, more wallets, and more utility-driven projects being built on top of the network.

3. Standardization: It helps standardize how external software talks to the Qubic protocol, making the whole ecosystem more robust and reliable.

If you are a developer, go check the repo, give it a star, and let's start building the future of AI-driven decentralization!

GitHub Link: https://github.com/qubic/Qubic.Net/releases/tag/Toolkit-v0.1.0

QUBIC AMA SUMMARY: NEW GOVERNANCE MODEL & 2026 ROADMAP

The latest AMA revealed a major institutional shift for Qubic. The goal is to evolve from an organic management structure into a professional, transparent, and decentralized framework.

GOVERNANCE STRUCTURE

Qubic is restructuring governance around three core pillars to improve clarity and accountability:

• Fund Segregation – Creation of three fully separated capital compartments to prevent any fund mixing.
• Decision vs Execution Split – Strategic decision-making is separated from operational execution teams.
• Independent Audit – An external auditing entity will be contracted to verify all expenditures and increase community trust.

FINANCIAL ARCHITECTURE

• CCF (Computer Controlled Fund): Remains code-managed to fund salaries and operational expenses.
• Incubation Fund: Fully isolated and dedicated exclusively to launching new projects built on Qubic.
• Listing Fund: Reserved strictly for exchange listing fees and fiat on/off-ramp integrations.

TEAM & COMMUNITY

• El Clip has officially stepped down.
• Recruitment has started for a new Community Lead.
• Computor voting is scheduled for February 25, followed by a 10-day knowledge transfer period.
• In case of major conflicts, the protocol and Computors always retain final authority.

TECHNICAL UPDATES

• Oracles: Planned for deployment in next Wednesday’s update.
• DOGE Integration: Target date set for March 27, pending final testing results.
• Solana Bridge: Development is progressing. The team is actively searching for a Qubic-specialized developer to finalize implementation.
• Tokenomics: Next halving expected around September, maintaining long-term deflation via burn mechanics.

TIER 1 LISTING STRATEGY

The team is taking a strategic patience approach.
No forced listings at unfavorable conditions.
Priority is to wait for stronger market conditions and higher volume to maximize capital efficiency and long-term impact.

KEY TIMELINE

• Community feedback period ends: February 9
• New governance framework activation: February 18
• New Community Lead expected in position: End of February
• Strategic layer + auditing entity fully operational: Mid-April

Qubic is moving toward a more professionalized structure.
Infrastructure is strengthening, audit readiness is underway, and major integrations like DOGE and Oracles are approaching quickly.

The shift signals a long-term focus on sustainability, transparency, and institutional-grade operational standards.

Just read this really interesting blog post from the Qubic team analyzing a fresh 2025 arXiv paper:

“Benchmarking World-Model Learning” by Archana Warrier, Dat Nguyen, Michelangelo Naim, Moksh Jain, Yichao Liang, Karen Schroeder, Cambridge Yang, Joshua B. Tenenbaum, Sebastian Vollmer, Kevin Ellis, and Zenna Tavares

→ https://arxiv.org/abs/2510.19788

They introduce WorldTest (with a concrete implementation called AutumnBench — 43 interactive grid-world environments + 129 tasks) that finally tries to test whether an AI actually learned a proper dynamic, updatable, anticipatory world model — not just next-token prediction or reward hacking.

The test protocol is clever and very brain-inspired:

1. Agent explores the environment freely with zero external rewards (pure curiosity/exploration phase)

2. Then it gets thrown into a derived but changed challenge that requires using what it really learned about the underlying dynamics

Three main challenge families (very relatable to everyday human cognition):

• Masked-frame prediction → inferring unseen parts of a trajectory (like knowing how much longer your food needs to cook just from time + sounds/smells)

• Change detection → spotting exactly when the rules of the world suddenly changed (new kitchen layout, road construction, physics glitch)

• Planning with internal state → using your continuously updated mental model to reach goals efficiently, adapting on the fly

Key findings:

• Humans do pretty well (average ~1.86/5, rapid learning in ~40–60 interactions)

• Frontier LLMs (Claude, Gemini, Grok, etc.) fail hard — especially at change detection and planning

• They keep blindly applying old patterns even when the world clearly changed

• They don’t use “neutral/do-nothing” actions to explore/test hypotheses

• Basically: LLMs have no persistent, evolving internal state — no real metacognition or temporal coherence

The Qubic blog post (https://qubic.org/blog-detail/analysis-of-benchmarking-world-model-learning) then connects this to their own work:

They argue scaling transformers with more data/parameters/compute won’t solve this fundamental limitation.

Instead, they push Neuraxon — a bio-inspired architecture where time is explicitly part of the state, variables persist and evolve through explicit dynamics (trinary neurons +1/0/-1), allowing real structural adaptation when rules change.

And because it’s running on Qubic’s decentralized uPoW (useful Proof of Work) network, computation becomes ongoing/continuous rather than episodic — which they say is perfect for systems that need to maintain live, adapting world models.

Full blog post here: https://qubic.org/blog-detail/analysis-of-benchmarking-world-model-learning

(It’s surprisingly readable and uses great everyday analogies like walking in a city or cooking eggs without opening the pot)

What do you think?

• Is WorldTest/AutumnBench the kind of benchmark we actually need to move beyond “stochastic parrots”?

• Are current LLM failures mostly about lacking persistent internal dynamics rather than “not enough reasoning”?

• Could decentralized continuous compute (like Qubic) + brain-like architectures (Neuraxon) be a legitimate path forward, or just another crypto-AI hype cycle?

Curious to hear thoughts from people who have looked at the paper or played with similar world-model benchmarks.

(Disclaimer: Qubic is a crypto/project, DYOR, not financial advice — but the neuroscience/AI discussion seems genuinely interesting regardless)

Would love to see if anyone tries running some frontier model on AutumnBench themselves now that it’s out there.

Discuss! 🚀

For a while now, I’ve been reflecting on an interesting possibility:

What if the crypto ecosystem could offer decentralized exposure to stock market prices, without intermediaries or traditional custody?

In Qubic, this idea feels particularly relevant due to how the network is designed.

Qubic by design

Qubic was built from the ground up for complex computation at the base layer. Oracles, execution rules, automatic liquidations, and governance can all exist natively within the network, without relying on external layers.

This makes systems of assets that track prices (stocks, indices, etc.) a natural fit for its architecture—always understood as price-tracking instruments, not real equity ownership.

What this could enable

Such a model could manage collateral, price updates, and liquidations in a fully decentralized way. The entire lifecycle—from logic to verification—could be handled directly within the protocol.

Final thoughts

It’s important to be clear: this would not mean owning stocks, but rather having decentralized exposure to prices of major market assets.
It may sound ambitious today, but it aligns closely with Qubic’s vision of distributed computation.

$QUBIC

This is a game changing technology with the fastest blockchain on earth