The network that launches Dogecoin mining on April 1st just got 3x faster.
Not on a testnet. On live mainnet.
A year ago, Qubic processed a tick every 2 seconds. Then 1 second.
The latest core optimization just pushed it to 0.6 seconds.
Here's why that matters for DOGE mining: every share a miner submits gets validated through Oracle Machines in a single tick. Faster ticks mean faster confirmations, a more efficient pipeline, and a network that can handle the load when April 1st hits.
The network got faster right before it needed to be.
#DogeMeetsQubic
QUBIC is about to tap into one of the BIGGEST revenue streams in crypto 👇
Dogecoin mining.
Let’s break down what this could mean:
🧠 Dogecoin network generates:
• ~14.4M DOGE per day
• ≈ $1M–$2M daily revenue
Now imagine QUBIC capturing just a fraction of that 👇
If QUBIC gets:
• 5% → $50K–$100K/day
• 10% → $100K–$200K/day
• 20% → $200K–$400K/day
Now here’s where it gets crazy 👇
Historically, QUBIC has used ~50% of mining revenue for BUYBACK & BURN.
So that means:
🔥 $1.5M/month burned (conservative)
🔥 $3M/month burned (mid case)
🔥 $6M/month burned (aggressive)
Let that sink in.
This is NOT speculation.
QUBIC already proved this model with Monero.
@dogecoin is just… bigger.
Much bigger.
And here’s the key:
QUBIC is not even listed on Tier 1 exchanges yet.
No Binance.
No Coinbase.
So you have:
• Increasing revenue
• Aggressive token burn
• Low liquidity
• Early market stage
That combination is rare.
Very rare.
If execution matches expectations…
QUBIC could become one of the most deflationary assets in crypto.
We are watching this in real time.
#Qubic #Crypto #Altcoins #Dogecoin
🧠 Astrocytes: the guardians of learning in AI and Qubic
1️⃣ What are astrocytes and why do they matter for #AI?
They’re not just support cells: they decide when and how neural connections change, regulating learning. 👀💡
2️⃣ Traditional AI: input → process → output. ✅
The real brain, thanks to astrocytes, learns, adapts, and reorganizes itself continuously. 🔄
3️⃣ In Neuraxon / Qubic:
Units can be excitatory, inhibitory, or neutral (-1,0,+1)
Continuous dynamics that consider context
Astro-gating: decides if a synapse learns or stays stable 🛑➡️✅
4️⃣ Result: networks that grow, mutate, reorganize, and adapt on their own, more robust, flexible, and scalable. 🌱🤖
5️⃣ To dive deeper: the @_Qubic_ Scientific Team explains how astrocytic regulation inspires neural networks that learn like a living brain.
https://t.co/8t9pa99xUU