Vegas12

As new crypto laws and regulations come into force, more CEXs may reduce or cease operations in certain markets.
That could trigger a cascade of liquidity leaving the system. Market makers will still be legal, but those relying on market manipulation, wash trading or fake volume will find it much harder to operate. Proper licensing, transparent bookkeeping, compliance and reporting will become essential.
DeFi has a real opportunity here,but also a major risk.
If liquidity disappears from centralised exchanges without moving on-chain, many ecosystems could face heavy tokens selling pressure wit

DeFi has more to worry about than future quantum attacks.
Quantum computing is a real threat, but widespread access outside nation-state actors is likely still years away. We have time to prepare through post-quantum signatures, wallet migration, key rotation and carefully planned protocol upgrades etc
...
The immediate threat is happening right now.
Too many chains and DeFi protocols underfund security, audits and development. Today, almost anyone with access to a powerful local AI model and an a agent can analyse public code, identify weaknesses and design potential attack vectors simply by

The Luna upgrade went really well! 🚀
✅ Vegas Node already updated
✅ The chain is producing blocks normally
✅ Chain downtime: ZERO
Smooth upgrade and a great job by everyone involved. 👏

Last year you were a lawyer, this year you are a economy expert...hahahha sad that some ppl don't see this 😢 lol

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Bitcoin is discussing proposals such as BIP-360 and BIP-361 to protect the network from future quantum attacks, including how to deal with vulnerable and dormant wallets.
Michael Saylor has already shared his position.
What’s your take? Necessary protection, or a dangerous precedent?
#Bitcoin #BTC #QuantumComputing #BitcoinSecurity #Crypto

Cmp170 real or hype?

Was a good game.

Making Large AI Models More Accessible to Home PCs
For more than three months, I have been quietly researching methods to reduce the hardware and memory load required to run very large AI models -particularly mixture-of-experts models such as GLM-5.2-on ordinary home computers.
This work forms part of my master’s degree in computer science, and the early results are promising.
I now have a working prototype, and I plan to share more about it soon.
The objective is not simply to create a smaller version of the model or claim that hundreds of billions of parameters can magically fit inside a con

Rip #zcash $zcash

The law should apply equally to everyone. If ordinary people cannot carry blades, then no one should be above that rule. No exceptions. Equal law for all.

print("Hello, World!👶")