# QUBIC

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#QUBIC is this AI stuff already running or qubic still miners coin?
QUBIC-8,69%
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GateUser-acbcbe4cvip:
Running,
#QUBIC This wave is unstable. Based on this consistent mud-like trend, it will drop to 0.00000012. Mud is just mud.
QUBIC-8,69%
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GateUser-029bebbbvip:
Sell everything and get out, stop crying, this isn't for emotional people like you. Any retracement, no matter how violent, will make you panic. Take the opportunity to buy more or give up on this crypto universe that isn't for you.
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Stripe co-founder just stated that blockchain may need 1 billion TPS to support an AI agent-driven future.
This highlights the importance of this number—and the current reality of the industry.
Patrick and John Collison wrote in their 2025 annual letter that AI agents could soon handle most internet transactions, while current blockchain infrastructure is far from ready.
They provided a real-world example: on a major blockchain, a memecoin surge caused payment delays of over 12 hours and transaction fees to spike 35 times.
Chainspect shows the current state:
→ Solana: ~1,140 TPS (the
MEME-3,85%
SOL-4,71%
ICP-3,71%
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#QUBIC 6 zeros, when will it become 1 dollar? Let me also experience wealth once.
QUBIC-8,69%
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GateUser-3d449e4avip:
If most of it is burned, then it's really possible!!
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#QUBIC There are too many paid commenters. If it could go back to 5 zeros, your comment spamming would still be somewhat acceptable.
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Wednesday, March 11:
⌚️ #HWAVE Hyperwave will close the application process for HWAVE for Wave Points holders
👍 #QUBIC Qubic will launch the open beta test Network Guardians
🇺🇸 CPI - 15:30 MSK
- Crude Oil Inventories - 17:30 MSK
- 10-Year Note Auction - 20:00 MSK
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🚨 BREAKING: OpenAI has published an article proving that ChatGPT will always make things up.
Not sometimes. Not until the next update. Always. They proved it mathematically.
Even with perfect training data and unlimited computing power, AI models will always confidently tell you things that are completely false. It’s not a bug they’re working on. This explains how these systems fundamentally operate.
And their own numbers are brutal. OpenAI’s reasoning model o1 hallucinates in 16% of cases. Their new model O3? 33 percent. Their new o4-mini? 48 percent. Nearly half of the information provided
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