Is $Qubic building something the AI world is missing? 🤔
While Big Tech is pouring billions into data centers and scaling LLMs…
Qubic is taking a very different path:
👉 Mining = AI training
Instead of wasting compute on random hashes,
Qubic’s Useful Proof of Work turns hardware into real AI training power for Aigarth.
⚡ Verified: 15.52M TPS (CertiK) — beyond traditional systems
⚡ Runs on bare metal → no VM → extreme performance
⚡ Soon: DOGE mining integration (April 1)
Meaning:
ASIC → mine $DOGE
CPU/GPU → train AI
All running in parallel
People compare it to Bittensor… but it’s not quite the same.
Bittensor = AI subnet economy
Qubic = raw compute → train models directly
💡 The real question:
Will AGI come from
👉 bigger centralized models?
or
👉 decentralized, mining-powered compute networks like Qubic?
I don’t see this discussed much in AI circles.
What do you think — is this the future of AI infrastructure, or a completely different category? 👇
Source: https://www.reddit.com/r/artificial/comments/1s5x2wo/is_anyone_else_watching_what_qubic_is_doing_with