A major update of #Aigarth is approaching. We are transforming #Qubic into a giant "anthill" where every miner will be searching for shares in a coordinated manner (like ants for food).
But we are not trying to create #SwarmIntelligence, we are using it for something more ambitious.
🚨 MILLY X @PjdubluLLY LIVE AMA 🚨
This Friday at 18:00 UTC… we’re going LIVE 🔥
We’re diving deep into $QCAP — what it is, how it works.
But that’s not all…
🎁 There will be SURPRISES
💸 Exclusive @hashwallet discounts
⚡ And things you do NOT want to miss…
If you’ve been watching from the sidelines…
this is your moment to tap in.
Set your reminder. Show up live.
Because the best parts? They won’t be repeated.
Don’t miss out. 👇
After several months of development, we’re excited to announce that the bridge connecting @_Qubic_ to EVM is now live.
Built and maintained by @Vottun, this bridge enables for the first time, the world’s fastest network to connect with the blockchain that brought smart contracts to life: @Ethereum.
Two pioneering technologies now permanently connected.
Let it flow 🌊 https://t.co/Da5e7Md0KK
Epoch 204 just broke the pattern.
Qubic mining came in ~3x more profitable than Monero on the same hardware.
• Qubic: $1.65/day
• Monero: $0.55/day
• Monero + Tari: $0.57/day
No incentives needed. No top-up bonus required.
Instead:
• 33B $QUBIC → CCF
• 33B $QUBIC → Burned
66B redistributed because the economics held on their own.
Based on Ryzen 7950X via QLI Pool.
Useful Proof of Work. No subsidies. Just performance.
The world underestimated DOGE once. It’s making the same mistake with Qubic.
When Dogecoin launched, nobody took it seriously. A meme coin. A joke. Until it built one of the most loyal communities in crypto and hit a $50B+ market cap.
Qubic has a similar story brewing.
Dogecoin has a mass mining community, mass adoption, mass liquidity.
Now imagine plugging that into a network that's already training AI with its mining power.
That's what Qubic is building.
ASICs handle Doge mining
CPUs/GPUs keep training Aigarth
⚡ Both run at the same time
No tradeoffs. No alternating. Parallel.
"AI" experts promised that LLMs would lead to many people losing their jobs, looks like it's only those developing LLMs who are losing their jobs soon...