Governance. We’ve been saying it since 2022. The new CKBA in Baar, Switzerland, is the coordination layer $CKB needs to sync all resources and kill operational conflicts. A real address and HQ provide the stability. Governance, good choice. 🇨🇭
CKB is entering a new era.
The launch of the Common Knowledge Base Association marks more than just an organizational update — it signals a serious step toward decentralized public infrastructure.
CKB is not trying to be another hype-driven L1.
It is building around principles that actually matter:
Proof-of-Work security.
UTXO architecture.
Bitcoin-aligned scalability.
RGB++.
Fiber Network.
Community-driven governance.
While many chains chase short-term narratives, CKB is positioning itself as infrastructure designed to last for decades.
This is the real difference:
CKB is not just building apps.
CKB is building the base layer for common knowledge, digital assets, and long-term state.
The next chapter is not about noise.
It is about ownership, decentralization, and public infrastructure.
This is not just another blockchain.
This is the Common Knowledge Base.
#CKB #Nervos #RGBPP #BitcoinL2 #PoW #UTXO #FiberNetwork #Web3 #Crypto #Blockchain #BTCFi
@RaylsLabs Controlled visibility via Enygma is the missing piece for RWA. Solving the privacy vs compliance hurdle is exactly how we get massive institutional volume on-chain. This is how Rayls scales where others fail. Ready for the next phase! 🚀 #RLS#DeFi
You can pay hyperscaler prices if you want.
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You could’ve just been less greedy, Brian.
While you’re laying off 14% of your team and preaching “AI-native” lean ops, here’s what Coinbase’s top execs are actually taking home (latest filings):
• Brian Armstrong (CEO): ~$7.2M – $9.7M
• Emilie Choi (President & COO): ~$21M – $23M+
• Alesia Haas (CFO): ~$10M – $12M
• Paul Grewal (CLO): ~$7.5M – $8.2M+
• Lawrence Brock (CPO): ~$8.2M – $9.7M
All comp is mostly massive stock grants on top of fat salaries.
Talk is cheap. Cutting staff while banking these bags isn’t “strategic”, it’s just selfish. If AI is so powerful, maybe start by trimming executives first? They are clearly bad at their jobs because you need layoffs and made poor offshore staffing decisions that got you hacked.
No, instead you chose to lay off more regular working people.
Are you tired of endless upgrade discussions about hard forks?
Are you interested in playing with the latest advances in post-quantum cryptography or zk proofs?
Check this out to learn more about CKB & unleashing maximum flexibility with RISC-V👇
https://t.co/Jt8W4Da0HX
🚨 CKB (Nervos Network) — Back in the Game? What’s happening right now
📊 While the market is quiet, CKB is quietly building real fundamentals:
— The project is being recognized among altcoins with strong real-world utility
— Key upgrades are being launched and tested:
• Fiber Network v0.6.0
• New block explorer
• DAO 1.1 in preparation
⚙️ The key point: Nervos isn’t chasing hype — it’s focused on Web3 infrastructure and cross-chain. This is a long-term play.
📉 Price is currently under pressure, market looks weak
BUT:
— the project keeps developing
— the ecosystem is expanding
— interest in Layer 1 + BTCFi is growing
📈 Growth potential depends on:
— DeFi & dApps launch
— developer activity growth
— cross-chain adoption
💡 Takeaway:
CKB looks like an undervalued infrastructure asset, not just another hype coin.
👉 If altseason kicks in + real use cases follow — this could move fast.
#CKB #Nervos #NervosNetwork #Crypto #Altcoins #Web3 #Layer1 #BTCFi #Blockchain #CryptoNews #Altseason #DeFi #CryptoInvesting #Undervalued #CryptoAlpha
AI infra controlled by a few giant companies isn't just a pricing problem.
It's a single point of failure for anyone building in AI.
Political, economic, and energy crisis can unexpectedly take down data centralized centers. And when they do:
→ GPU access dries up
→ Compute costs spike
→ Critical systems go dark
→ Projects stall
→ Users lose access
Decentralized compute isn't just about cost. It's infrastructure resilience.
@ionet CEO Gaurav Sharma breaks it down: https://t.co/SF4P7NzIdd
Your AI training job is moving at a snail's pace. And your AWS bill is skyrocketing.
It's your infrastructure. Not your model.
The right GPU cluster can turns weeks into hours. The wrong setup burns time and money.
In our beginner's guide to GPU clusters, we break down what clusters are, how to understand cloud pricing, and when it makes sense to rent vs buy.
If you're building an AI project and need accessible, scalable, and affordable compute https://t.co/ZuybGWvjv9 can help.
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