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Exploring AI, infrastructure & decentralized systems.
Curious about how technology shapes freedom and coordination.
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ChainGPT AI News
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Qubic Launches Phase 3: Full Dogecoin Mining Pivot, ASICs + AI Fuel QU Buyback
Qubic has officially flipped the switch on “Phase 3”: the project has completed a full migration to a Dogecoin-focused mining architecture, removing Monero (XMR) from its stack and putting its compute resources on a permanent dual track—ASICs mining DOGE, and CPUs/GPUs training its in-house AI, Aigarth. Announced on X on April 23, 2026, the team framed the move as a structural pivot rather than a marginal upgrade. “Phase 3 is live. Qubic has completed the Dogecoin mining migration. XMR is out. The new architecture is in full effect,” the project wrote, adding: “No more alternating. No more compromises. Both workstreams running simultaneously at full capacity, for the first time ever.” In practice, that means ASICs are now dedicated 100% to Scrypt/DOGE mining while general-purpose silicon is fully allocated to AI workloads. Qubic describes the setup as a circular capital flywheel: DOGE mined → sold → QU bought back → distributed to computors. The design routes mining proceeds into persistent buy pressure for QU (Qubic’s native unit) while keeping Dogecoin production ongoing — a closed-loop meant to bootstrap and sustain the Qubic economy. Day‑one performance figures were published alongside the rollout. Using a DG1+ ASIC at 13 GH/s as a sample, Qubic compared returns from its system against a traditional mining pool: - Mining DOGE via Qubic: 10,314,425 Qu’s → $7.94/day - Mining DOGE on traditional pools: 62.31 DOGE → $6.02/day Qubic reports this is roughly +$1.92/day, or ~32% more profit on identical hardware and effort. How material is Qubic to the Dogecoin network today? Still modest. The team’s live Scrypt hash registers about 2.1 TH/s versus a network total of roughly 2.44 PH/s — about a 0.086% share. That’s enough to demonstrate the migration is real (Qubic now has active Scrypt hash on the ledger) but not enough to meaningfully affect network security, block production, or DOGE sell pressure by itself. What happens next will determine the story’s arc. The shift takes Qubic out of the proof‑of‑concept phase and into scaling: if its Dogecoin hashrate climbs, the narrative will move from “they’ve entered DOGE mining” to “they’re becoming a material mining participant.” Qubic’s pivot follows an earlier run with Monero that acted as a live proof-of-concept for its Useful Proof of Work model. During that period the project said it once captured as much as 45% of Monero’s global hashrate in a single epoch, found 3,496 XMR blocks, and staged a public 51% takeover demonstration — data points the team has used to validate the idea of redirecting network compute into external production and then recycling proceeds into its ecosystem. At press time DOGE traded around $0.09791. Qubic’s Phase 3 is live; the market-impact question now hinges on whether the flywheel can scale beyond a demonstrable foothold. Read more AI-generated news on: undefined/news
The mining industry is not pivoting. It’s reacting.
Bitcoin miners are retrofitting old infrastructure for AI...same centralized players, new narrative, same control points.
Qubic didn’t pivot. It was built differently from day one.
AI training is not a feature. It is the consensus layer.
676 computors. CPU-based AI training. Scrypt ASICs for Doge mining. Parallel systems. No overlap. No bottlenecks. No single point of failure.
This is the part people keep missing:
Centralized AI compute = contracts, companies, kill switches.
Decentralized AI compute = protocol-level infrastructure no one owns.
The industry is walking into a shift Qubic has already operationalized.
And once that distinction becomes obvious… the game stops being about efficiency.
It becomes about control.
#Qubic #Aİ #bitcoin #DecentralizedAI #DOGE
Bitcoin miners are retrofitting old infrastructure for AI...same centralized players, new narrative, same control points.
Qubic didn’t pivot. It was built differently from day one.
AI training is not a feature. It is the consensus layer.
676 computors. CPU-based AI training. Scrypt ASICs for Doge mining. Parallel systems. No overlap. No bottlenecks. No single point of failure.
This is the part people keep missing:
Centralized AI compute = contracts, companies, kill switches.
Decentralized AI compute = protocol-level infrastructure no one owns.
The industry is walking into a shift Qubic has already operationalized.
And once that distinction becomes obvious… the game stops being about efficiency.
It becomes about control.
#Qubic #Aİ #bitcoin #DecentralizedAI #DOGE
DON´T MISS IT! $QUBIC
GM fam 🌅
First live AMA dropping TODAY with @PjdubluLLY — we're tearing apart why $QCAP is absolutely cooking in the $QUBIC ecosystem right now 🔥
Friday | 20:00 CET
If you're sleeping on $QUBIC plays, this is your wake-up call. Come locked in.
First live AMA dropping TODAY with @PjdubluLLY — we're tearing apart why $QCAP is absolutely cooking in the $QUBIC ecosystem right now 🔥
Friday | 20:00 CET
If you're sleeping on $QUBIC plays, this is your wake-up call. Come locked in.
Chainspect tracks real-time TPS across major networks:
Internet Computer — 1,325 tx/s
Solana — 1,052 tx/s
Fogo — 282 tx/s
BNB Chain — 185 tx/s
$QUBIC isn’t listed yet.
But in Epoch 208, it processed ~165M real user transactions over 7 days.
That equals ~270 tx/s sustained on average — not a peak.
This matters because:
• It wasn’t a stress test
• It happened under real network usage
• Two workloads were running in parallel: AI + Dogecoin mining
If included in the same 7-day metric, that throughput would place Qubic around the top 5 globally.
Not tracked ≠ not operating at scale.
#Qubic #Blockchain #Crypto #Web3 #TPS
Internet Computer — 1,325 tx/s
Solana — 1,052 tx/s
Fogo — 282 tx/s
BNB Chain — 185 tx/s
$QUBIC isn’t listed yet.
But in Epoch 208, it processed ~165M real user transactions over 7 days.
That equals ~270 tx/s sustained on average — not a peak.
This matters because:
• It wasn’t a stress test
• It happened under real network usage
• Two workloads were running in parallel: AI + Dogecoin mining
If included in the same 7-day metric, that throughput would place Qubic around the top 5 globally.
Not tracked ≠ not operating at scale.
#Qubic #Blockchain #Crypto #Web3 #TPS
NVIDIA has just demonstrated something that points in a very clear direction for AI:
training models without backpropagation, using evolution instead of classic calculus.
Mutate. Test. Select what works.
Qubic has already been building on this same idea with Aigarth.
676 Computors that don’t fine-tune a fixed model, but evolve entire architectures within the network.
This is not traditional optimization.
It is intelligence built through evolution.
EVOLVE. DON’T CALCULATE.
#Qubic #Aİ #Aigarth #MachineLearning #Web3
training models without backpropagation, using evolution instead of classic calculus.
Mutate. Test. Select what works.
Qubic has already been building on this same idea with Aigarth.
676 Computors that don’t fine-tune a fixed model, but evolve entire architectures within the network.
This is not traditional optimization.
It is intelligence built through evolution.
EVOLVE. DON’T CALCULATE.
#Qubic #Aİ #Aigarth #MachineLearning #Web3
QBridge is Qubic’s non-custodial bridge connecting Qubic with Ethereum, built with a security-first architecture shaped by past bridge exploits.
Instead of relying on a single point of trust, it uses a 2-of-3 multisig model, requiring multiple independent approvals for every critical action. The smart contract was fully audited, with all findings fixed—not just acknowledged.
It also improves one of the weakest points in many bridges: refunds. Fees are only released after successful execution, and if anything fails mid-transaction, users are fully refunded (tokens + fees), avoiding broken states or lost funds.
QBridge isn’t just a bridge...it’s a direct response to the billions lost in exploits, designed from the ground up to not become the next headline.
https://qubic.org/blog-detail/qbridge-qubic-ethereum-cross-chain-bridge
#Qubic #Ethereum #Crypto #DeFi #Blockchain
Instead of relying on a single point of trust, it uses a 2-of-3 multisig model, requiring multiple independent approvals for every critical action. The smart contract was fully audited, with all findings fixed—not just acknowledged.
It also improves one of the weakest points in many bridges: refunds. Fees are only released after successful execution, and if anything fails mid-transaction, users are fully refunded (tokens + fees), avoiding broken states or lost funds.
QBridge isn’t just a bridge...it’s a direct response to the billions lost in exploits, designed from the ground up to not become the next headline.
https://qubic.org/blog-detail/qbridge-qubic-ethereum-cross-chain-bridge
#Qubic #Ethereum #Crypto #DeFi #Blockchain
AI just learned to listen.
Inside Qubic’s Neuraxon, agents can now hear each other…
and early signs of communication are emerging.
No datasets.
No prompts.
Just interaction.
Unlike ChatGPT or Gemini, this isn’t trained intelligence.
It’s evolving.
Small update on the surface—
but a big step toward emergent AI.
Try it yourself on Hugging Face:
🧠 Game of Life Lite 4.5: https://huggingface.co/spaces/DavidVivancos/NeuraxonLife
🧬 Nxon Demo + BrainBuilder: https://huggingface.co/spaces/DavidVivancos/MultiNeuraxon2
📂 Research code: https://github.com/DavidVivancos/Neuraxon
#Qubic #AI #Neuraxon #AGI
Inside Qubic’s Neuraxon, agents can now hear each other…
and early signs of communication are emerging.
No datasets.
No prompts.
Just interaction.
Unlike ChatGPT or Gemini, this isn’t trained intelligence.
It’s evolving.
Small update on the surface—
but a big step toward emergent AI.
Try it yourself on Hugging Face:
🧠 Game of Life Lite 4.5: https://huggingface.co/spaces/DavidVivancos/NeuraxonLife
🧬 Nxon Demo + BrainBuilder: https://huggingface.co/spaces/DavidVivancos/MultiNeuraxon2
📂 Research code: https://github.com/DavidVivancos/Neuraxon
#Qubic #AI #Neuraxon #AGI
AI agents are already making decisions inside enterprises.
Customer support, finance, code review… all running on black-box systems.
No audit trail. No proof. Just trust.
And trust doesn’t pass compliance.
Here’s the twist 👇
Every DOGE mining share processed through Qubic is verified at the protocol level.
Not assumed. Not logged by a provider. Verified.
That same architecture can validate AI agent outputs.
So instead of trusting what an AI says it did…
you can prove what actually happened.
The AI agent era is coming fast.
The real question is:
will systems run on trust… or verification?
#Dogecoin #Aİ #Blockchain #DePIN #Qubic
Customer support, finance, code review… all running on black-box systems.
No audit trail. No proof. Just trust.
And trust doesn’t pass compliance.
Here’s the twist 👇
Every DOGE mining share processed through Qubic is verified at the protocol level.
Not assumed. Not logged by a provider. Verified.
That same architecture can validate AI agent outputs.
So instead of trusting what an AI says it did…
you can prove what actually happened.
The AI agent era is coming fast.
The real question is:
will systems run on trust… or verification?
#Dogecoin #Aİ #Blockchain #DePIN #Qubic
AI is about to consume more electricity than entire countries.
According to the International Energy Agency, data centers could surpass Japan’s total energy usage by 2030.
And it's already happening.
Training GPT-3 took ~1.29 GWh.
GPT-4? Over 50 GWh.
That’s massive energy… for a single model. One time.
Now multiply that by every company racing to build AI.
The curve isn’t slowing down. It’s accelerating.
Here’s the part most people miss:
All that energy is producing intelligence.
But who owns it?
Right now → centralized labs, closed systems, private models.
This is where Qubic changes the narrative.
Instead of wasting energy like traditional mining,
Qubic uses Useful Proof of Work.
Every computation → trains neural networks.
Energy isn’t burned. It’s turned into AI.
And it goes further.
Qubic can mine Dogecoin
while training AI at the same time.
Different hardware. No trade-offs. Full utilization.
The AI industry has an energy problem
Qubic’s answer is simple:
Make every watt count.
Not proof of wasted work.
Proof of useful work.
#Qubic #AI #Crypto #DePIN #Web3
According to the International Energy Agency, data centers could surpass Japan’s total energy usage by 2030.
And it's already happening.
Training GPT-3 took ~1.29 GWh.
GPT-4? Over 50 GWh.
That’s massive energy… for a single model. One time.
Now multiply that by every company racing to build AI.
The curve isn’t slowing down. It’s accelerating.
Here’s the part most people miss:
All that energy is producing intelligence.
But who owns it?
Right now → centralized labs, closed systems, private models.
This is where Qubic changes the narrative.
Instead of wasting energy like traditional mining,
Qubic uses Useful Proof of Work.
Every computation → trains neural networks.
Energy isn’t burned. It’s turned into AI.
And it goes further.
Qubic can mine Dogecoin
while training AI at the same time.
Different hardware. No trade-offs. Full utilization.
The AI industry has an energy problem
Qubic’s answer is simple:
Make every watt count.
Not proof of wasted work.
Proof of useful work.
#Qubic #AI #Crypto #DePIN #Web3
Most #AI is asleep until you use it. Qubic is building AI that never turns off.
That’s the shift. While other models wait for a prompt… Qubic is developing systems that are active all the time. This isn’t just about “better AI”, it’s a different way to build it: it learns in real time, adapts without restarting, and evolves through use. It’s not static, it’s continuous.
This is where Neuraxon comes in. It moves beyond simple ON/OFF logic, allowing AI to activate, pause, or inhibit signals, maintain internal balance, and respond more effectively to context. The result: more stability, fewer errors, and higher efficiency.
Then comes Aigarth, where everything scales. It enables that intelligence to reorganize itself, improve over time, and evolve like a living system.
In simple terms, Qubic isn’t just building models… it’s building intelligence that evolves.
🔗 https://qubic.org
https://qubic.org/blog-detail/neuraxon-qubic-s-big-leap-toward-living-learning-ai
#Qubic #AI #Crypto #Web3 #Future #Neuraxon #Aigarth #Innovation
That’s the shift. While other models wait for a prompt… Qubic is developing systems that are active all the time. This isn’t just about “better AI”, it’s a different way to build it: it learns in real time, adapts without restarting, and evolves through use. It’s not static, it’s continuous.
This is where Neuraxon comes in. It moves beyond simple ON/OFF logic, allowing AI to activate, pause, or inhibit signals, maintain internal balance, and respond more effectively to context. The result: more stability, fewer errors, and higher efficiency.
Then comes Aigarth, where everything scales. It enables that intelligence to reorganize itself, improve over time, and evolve like a living system.
In simple terms, Qubic isn’t just building models… it’s building intelligence that evolves.
🔗 https://qubic.org
https://qubic.org/blog-detail/neuraxon-qubic-s-big-leap-toward-living-learning-ai
#Qubic #AI #Crypto #Web3 #Future #Neuraxon #Aigarth #Innovation
$QUBIC just connected to Ethereum.
Most people still don’t realize how big this is. 👇
For 200+ epochs, Qubic was:
→ Ultra fast
→ Feeless
→ High-performance
But isolated.
No DeFi. No liquidity. No exposure.
That changes now.
QBridge is LIVE.
🌉 https://qubicbridge.com
What this unlocks:
→ QUBIC → Ethereum
→ wQUBIC (ERC-20)
→ Access to real liquidity
Now it can flow where capital lives.
How it works:
→ Lock QUBIC
→ Mint wQUBIC
→ Burn wQUBIC
→ Unlock QUBIC
1:1 backed. Always.
This is the real shift:
From:
❌ Closed ecosystem
To:
✅ Connected to Ethereum’s financial layer
→ DEXs
→ Lending
→ Wallets
→ Aggregators
Security:
→ Non-custodial
→ Audited
→ 2-of-3 multisig
→ Refund-safe
But here’s the alpha:
→ Qubic = compute
→ Ethereum = liquidity
Now connected.
What’s next:
→ Solana bridge
→ DOGE mining scaling
→ Halving (Aug 2026)
Most will notice late.
The infrastructure is already live.
Now the market reacts. 🔥
#QUBIC #Ethereum #DeFi #Crypto #Altcoins #Web3 #Blockchain
Most people still don’t realize how big this is. 👇
For 200+ epochs, Qubic was:
→ Ultra fast
→ Feeless
→ High-performance
But isolated.
No DeFi. No liquidity. No exposure.
That changes now.
QBridge is LIVE.
🌉 https://qubicbridge.com
What this unlocks:
→ QUBIC → Ethereum
→ wQUBIC (ERC-20)
→ Access to real liquidity
Now it can flow where capital lives.
How it works:
→ Lock QUBIC
→ Mint wQUBIC
→ Burn wQUBIC
→ Unlock QUBIC
1:1 backed. Always.
This is the real shift:
From:
❌ Closed ecosystem
To:
✅ Connected to Ethereum’s financial layer
→ DEXs
→ Lending
→ Wallets
→ Aggregators
Security:
→ Non-custodial
→ Audited
→ 2-of-3 multisig
→ Refund-safe
But here’s the alpha:
→ Qubic = compute
→ Ethereum = liquidity
Now connected.
What’s next:
→ Solana bridge
→ DOGE mining scaling
→ Halving (Aug 2026)
Most will notice late.
The infrastructure is already live.
Now the market reacts. 🔥
#QUBIC #Ethereum #DeFi #Crypto #Altcoins #Web3 #Blockchain
AI today works like this:
You ask → it answers → it stops.
That’s how models like GPT work.
Powerful? Yes.
Alive? Not even close.
And there’s another problem:
You don’t own that AI.
It runs on someone else’s servers.
Someone else’s rules.
Someone else’s switch.
Now imagine a different model:
AI that doesn’t stop.
AI that keeps learning all the time.
AI that runs continuously.
That’s what Qubic is building.
→ 676 computors
→ Continuous AI training
→ Mining = AI training
With Neuraxon:
AI doesn’t just respond.
It learns.
It adapts.
It evolves.
In real time.
(Unlike traditional AI that “freezes” after training)
Read this 👇
Neuraxon: Qubic’s Big Leap Toward Living, Learning AI
We’re going from:
“AI you use”
to
“AI that keeps evolving”
#AI #Crypto #DePIN #AGI #Qubic #Neuraxon #Web3
You ask → it answers → it stops.
That’s how models like GPT work.
Powerful? Yes.
Alive? Not even close.
And there’s another problem:
You don’t own that AI.
It runs on someone else’s servers.
Someone else’s rules.
Someone else’s switch.
Now imagine a different model:
AI that doesn’t stop.
AI that keeps learning all the time.
AI that runs continuously.
That’s what Qubic is building.
→ 676 computors
→ Continuous AI training
→ Mining = AI training
With Neuraxon:
AI doesn’t just respond.
It learns.
It adapts.
It evolves.
In real time.
(Unlike traditional AI that “freezes” after training)
Read this 👇
Neuraxon: Qubic’s Big Leap Toward Living, Learning AI
We’re going from:
“AI you use”
to
“AI that keeps evolving”
#AI #Crypto #DePIN #AGI #Qubic #Neuraxon #Web3
$QUBIC 👀💪
⚡️ TOP AI Projects by Social Activity
$QUBIC
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$ICP $ROSE $RLC $FIL $LPT $GRT $TAO $SWARMS $FLUX $QUBIC
$ICP $ROSE $RLC $FIL $LPT $GRT $TAO $SWARMS $FLUX $QUBIC
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