Vhee 🫎 retweeted
Crypto’s quantum future deserves more than a fear narrative.
At Quantum + Privacy Day panel with @projecteleven and @quipnetwork, Mehow shared the vision behind AmericanFortress: privacy and simplicity for the chains people already use, with quantum resistance built into the ambition.
Build for the upside. Prepare for what’s next.
Vhee 🫎 retweeted
AmericanFortress in @Cointelegraph Korea 🇰🇷
Same-owner wallet verification across chains, post-quantum, under a second to verify. A bridge can now refuse to pay out to any address that can't prove it belongs to the depositor, without learning who the depositor is.
Prior approaches: 30+ minutes per proof. Ours: ~6.65s to generate, ~475ms to verify.
No proof, no payout.
Read more: cointelegraph-kr.com/press-r…
Vhee 🫎 retweeted
Your name on @0G_labs is now open to reserve.
yourname.0gm - get paid at it privately. Every send to your name lands at a fresh one-time address only you and the sender can compute. No balance, no history, nothing on an explorer.
When the wallet ships it resolves on 13 chains, so one registration covers every network you use.
Free identity verification included. Whoever's paying you can see you're real, without anything about you going on-chain.
Reserve yours -> names.americanfortress.io/
Vhee 🫎 retweeted
We’ve looked at what RLNC is.
Now let’s explore why it matters for Optimum.
When blockchain data needs to reach many nodes, the way that information is shared can make a real difference in network efficiency.
Vhee 🫎 retweeted
In our last thread, we explored what happens when an application requests a ZK proof. Now, let’s look at another important part of Fermah’s infrastructure: the provers that help handle the work.
Vhee 🫎 retweeted
Let’s break down one of the technologies behind Optimum.
It’s called Random Linear Network Coding, or RLNC.
The name sounds complicated, but the basic idea is easier to understand when we look at how networks share data.🧵👇
Real change starts with honest voices.
Add yours today.
Jump in: testnet.lifeai.io/ref?code=3…
Code: 33TEO82
#LifeAITestnet #HealthcareAI
Vhee 🫎 retweeted
Let’s take another step in understanding Fermah.
We know applications need computing power to generate ZK proofs. But what actually happens when an application requests one? Let’s break the process down simply. 🧵👇
Vhee 🫎 retweeted
What is OptimumP2P?
So, we’ve talked about why blockchain networking matters.
Now let’s look at what Optimum is actually building to improve it:
OptimumP2P, a data propagation network designed to help blockchain data move faster and more efficiently.
🧵👇
Vhee 🫎 retweeted
Compliant privacy on public blockchains isn't a feature, it's the missing primitive.
@MehowHacks takes the stage at @token2049 on Oct 7 to make the case: privacy and compliance aren't opposites, and the chains that prove it will carry the next wave of real-world adoption.
If you're in Singapore, come say hello.
#TOKEN2049
Vhee 🫎 retweeted
At @0G_labs Dev Day, @MehowHacks laid out the AmericanFortressâ„¢ vision: private payments that carry their own proof. Verify who paid without exposing an entire wallet history.
Built for people and AI agents. Coming to 0G first.
Vhee 🫎 retweeted
What Makes Fermah Different?
We’ve covered what Fermah is and how it works.
But what makes Fermah stand out?
The simple answer is that Fermah is focused on the infrastructure behind ZK proving, helping applications access the computing power they need.🧵👇
Vhee 🫎 retweeted
Why Optimum Cares About Blockchain Networking
We often talk about blockchain speed in terms of transactions per second but Optimum looks at another important part too:
how fast data move across the network.
Because faster blockchains need efficient communication between nodes.
Vhee 🫎 retweeted
Why Fermah Uses Decentralized Proving
We’ve talked about what Fermah is, why ZK needs compute, and who provides that compute.
Now let’s look at another important part of Fermah:
Why does decentralized proving matter?
🧵👇
Vhee 🫎 retweeted
Pay someone once on a public blockchain and they can see how much money you have, who paid you last week, and what you bought this morning. Forever.
Your bank doesn't work like that. Nobody's bank works like that. Your records are private until someone with a reason asks.
Tonight at House of AI event we co-hosted with @0G_labs in Seoul, @MehowHacks showed how to bring that standard to crypto: a payment that is private, and that can still prove who sent it when it matters.
You pay a name, like @alice, and the transaction stays private. If an exchange or an auditor ever needs to check a specific payment, you prove that one payment and nothing else. Your history stays yours.
Coming to 0G first.
Vhee 🫎 retweeted
Three letters that mean business.
@pay.0gm is on the block. Bidding has started in the AmericanFortressâ„¢ Genesis Auction.
A name made to be remembered. Make it yours.
names.americanfortress.io/au…
🤖 Made with AI
Vhee 🫎 retweeted
Last time we covered why ZK applications demand massive compute.
But where does that power actually come from? Enter provers, the specialized machines handling the heavy off-chain lifting to generate zero-knowledge proofs for @fermah_xyz.
🧵👇
Stop copy-pasting dangerous wallet addresses. American Fortress uses "Send-to-Name" technology to make blockchain transactions as intuitive as sending an email or a social media DM. @Americanfort_io
Vhee 🫎 retweeted
Optimum: The Problem It’s Solving
We know what Optimum is.
But what problem is it actually trying to solve?
The answer starts with something blockchains constantly need to do:
move huge amounts of data between nodes. 🧵👇
Vhee 🫎 retweeted
Why Does ZK Need So Much Compute?
Today we’re taking the next step in understanding Fermah.
We already know that fermah helps connect ZK applications with computing power.
But there’s an obvious question:
Why do ZK proofs need so much computing power in the first place?
🧵👇
