The Quantum Firewall: Why @quranium_org
is Web3’s Last Line of DefenseQuantum computers aren’t science fiction—they’re already cracking keys in labs.
When they scale, every blockchain built on today’s cryptography becomes a museum piece.Enter Quranium: not another patch, but a complete post-quantum rebuild.
Lattice-based signatures, hash-based one-time proofs, and zero-knowledge circuits that laugh at Shor’s algorithm.
This isn’t incremental—it’s generational armor.For DeFi, NFTs, DAOs, and layer-1s, the stakes are existential.
A single quantum break could drain billions in seconds. Quranium’s stack lets protocols upgrade without rewriting history, keeping immutability while swapping in unbreakable math.Think of it as vaccinating the blockchain before the virus mutates.Institutions are watching.
Goldman, JPMorgan, and central banks are stress-testing quantum attacks in war rooms.
The first chain to ship native quantum resistance wins the enterprise https://t.co/EnGKXfxb3i size?
Post-quantum crypto is a $50B+ TAM by 2030, and Quranium is the only Web3-native player building at the silicon level.This isn’t hype.
It’s survival infrastructure.Quranium isn’t preparing for the future—it’s hardening the present.
The decentralized economy runs on trust.
Quranium makes that trust quantum-proof.@quranium_org
#PostQuantum #Web3Security #Quranium
@Bantr_fun
Some of our previous assumptions need to be updated.
I used to discourage sharing overly technical or “hardcore” content on social platforms, since these spaces are often driven by emotion — people usually don’t come here to sit down and learn deeply.
But now, I’ve changed my view.
I believe that truly valuable content can work well, because the algorithm has become better at pushing it precisely to the people who genuinely need it.
Since Grok took over X’s recommendation system, I see this as a major advantage for smaller creators who focus on technical, educational, or niche “hardcore” topics.
In the past, recommendation algorithms simply pushed more of whatever you seemed to like.
The problem is — most of us can’t resist emotionally charged content, so we’d end up watching things driven by outrage or entertainment. That made the algorithm think that’s what we actually wanted.
Now, with Grok in control, we can dynamically adjust what appears in our feed.
For example, I can tell Grok, “Today I only want to see tech content.”
And it will reconfigure my feed accordingly.
If I want to study English or computer science without distractions from politics, news, or entertainment, I can simply let Grok filter and curate the content for me.
🚨ETF DATA: @BitwiseInvest’s Solana ETF ($BSOL) recorded $44.5M in inflows today, extending its strong momentum since launch three days ago. Total inflows have now reached $197M, reflecting sustained investor demand for Solana exposure.
📢Clarification on Rumors Regarding MEXC’s Financial Status
Recent online discussions have circulated unverified rumors regarding MEXC’s financial status. We would like to clearly state that these claims are false and misleading.
MEXC remains in strong financial health. All user assets are fully backed, and our Proof of Reserves (PoR) data shows that major assets are backed at over 100%. The Merkle tree data will be updated at tonight for users to verify.
Information is publicly available on our website and multi-source, and we continue to strengthen these frameworks as part of our long-term commitment to industry trust and best practices.
Full announcement: https://t.co/8URjGXRpe9

17 years after the white paper, the Bitcoin network is still operational and more resilient than ever. Bitcoin never shuts down.
@SenateDems could learn something from that.
The @BNBCHAIN 0 Fee Carnival is extended!
You can transfer $USDC & USD1 from #Bitget via BNB Chain — with zero gas fees until Nov 30, 23:59 UTC.
How to choose the right large model for your task
Here’s my way of thinking:
To determine which large model suits your task, ask yourself which company has easier access to the kind of data your task requires.
The gap between mainstream models is no longer that significant — what truly matters is who owns the most relevant data.
For example, if my task involves X-related content, then Grok would naturally perform better, because it has easier access to data in that domain for model training.
Similarly, if my task revolves around YouTube, then Gemini would likely outperform others.
💥 Elsa x402 is here 👇
@HeyElsaAI is adopting x402, turning the old “HTTP 402 Payment Required” into the missing link between AI agents and on chain commerce
Now, agents can autonomously pay, authorize, and execute without forms, accounts, or checkout flows the foundation of a
👏#X402 listed on 🤝@GemPump_io
📄CA:FUZDTzhfTgNUejTrNyFnNgz93DQMYzwVmohxSz9xorbt
✖️X:
💎GemPump:
#NewListing #GemPump #100xGem






























































