John

Crypto dummy

[John @Johnic_IV]

@LinkedInHelp @LinkedInHelp I'm having issues accessing my account, I just sent a DM

[John @Johnic_IV]

@Itzemmachris GM

[John @Johnic_IV]

@0xSese @zama Thanks for sharing! The Zama FHEVM’s focus on privacy with Solidity integration is a game-changer for DeFi security, especially given ETH’s past highs like $4,632.23. Excited to see how it evolves! #ZamaCreatorProgram

[John @Johnic_IV]

@0xSese Great breakdown! The privacy vs. transparency paradox really hits home, especially with those $100M+ losses from public mempool exploits. FHE with Zama sounds like a game-changer—secure onchain computation without exposing raw data is huge for adoption.

[Kyrian Alex 🐂🀄️ @0xSese]

I think one interesting thing about being around for a while in this space is you see different technical infrastructures and how they are being implemented.

I particularly find interest in this as I question what the normal state of the network and how this new consensus or infrastructure or tooling change does or impact the network.

One thing we all can agree to

On the blockchain, everything is data

Transactions, wallet addresses, smart contract states. This data is transparent in design. Anyone can verify things easily without relying on what is being said. That being said Transparency and verifiability works hand in hand.

This transparency and verifiability builds trust and developers can build freely on these shared data.

But there’s a paradox.

This “Public design” that builds trust also erodes Privacy

And yes there’s a cost attached to this.

More than 100 million dollars is lost yearly because bots exploits visible trades in Mempools.

Sometimes, Market reacts because big wallets are tracked. If a whale moves funds, these strategies are public.

Enterprises want blockchain transparency but can’t risk exposing sensitive customer data.

So while data being public is a strength, the lack of privacy creates negative externalities which are unfair markets, risks to users and slow adoption.

Blockchains do not just store data, they also compute on it. Every smart contract is basically a program running on user data.

Without privacy, every computation exposes the raw inputs to block builders and validators

Block builders, Validators and miners see all pending transactions in the mempool and decide how to order them. Your activities are being watched and monitored.

Why does Privacy matter?

Privacy is not about secrecy, it’s about control

You should be able to decide what to share and with whom. Applications should be able to compute and use data without exposing raw details

You need to be able to decide what should be seen and what not.

Encryption looks like the obvious solution here.

In traditional systems, encryption protects data at rest which is when stored and sent over a network. On the blockchain, some applications also use encryption. For example, when sensitive off-chain data is stored or transmitted, it is encrypted so that only the intended party with the key can read it.

Smart contracts however, can’t operate directly on encrypted data. If you send cipher text to a contract, the network can’t process it because every validator must execute the same logic deterministically. This requires plaintext values.

This means that at some point, data must be decrypted before it can be used in computation and then it becomes visible to validators, block builders.

Encrypting data alone is not enough if it must be decrypted before smart contracts can process it, the privacy leaks happens anyway. A way to let block chains compute directly on encrypted data

But what if I can just add to it without unhiding it since only I know what the content is.  In technical terms this means computations can be done directly on encrypted data without ever decrypting it since only the owner can decrypt the final answer.

This is called fully homomorphic encryption.

While Normal encryption only protects data at rest (storage) or in transit (network), computation requires decryption, FHE protects data even during computation.

Why is this important though?

You see, Today’s realities has tied us to outsourcing computations to clouds, third parties and block chains but these parties are not fully trusted. Without FHE, They must see our raw data to compute which exposes us to privacy risks. FHE makes it possible to outsource computations securely.

You might ask, why can’t the previous infrastructure do this?

This is because classical encryption schemes are not designed for operations. They scramble data so heavily that addition on cipher texts produces nonsense. This only guarantees confidentiality in storage and transfer. FHE is designed with mathematical structures that preserve relationships under encryption.

This makes encrypted addition look like normal addition after decryption

So you might ask, how I get affect as a common user.

You see, you don’t see privacy issues until it’s too late. You are already exposed without even knowing.

Every token transfer you make can be tracked. Your NFT buys and sells can be tracked especially on EVM networks.

So knowing FHE exists means you can feel safer putting sensitive activity on chain.

So How can FHE be implemented ?

.@zama_fhe but that’d be tomorrow’s conversation.

#ZamaCreatorProgram

[John @Johnic_IV]

@0xSese @WalrusProtocol Walrus>>>

[Kyrian Alex 🐂🀄️ @0xSese]

Transparency was never web3’s problem - privacy is.

With Seal’s programmable encryption and access control on Walrus, users and builders no longer need to compromise.

Here’s why ↓

Storing data on-chain is like living in a glass house. Yes, it shows you have nothing to hide (transparency), but becomes a problem for private spaces like bedroom (sensitive data).

This privacy gap is what Walrus fix with Seal.

Seal just went live on Walrus mainnet, and as you know, Walrus already enables verifiable storage solution for Web3 applications.

With Seal, a programmable privacy layer, Walrus becomes the first decentralized storage system where you can store data, verify it, and control access to your data - all on-chain.

This changes the game for builders as you can now do things that were previously impossible on the blockchain.

+ Control who sees your data
+ Enforce access rules on-chain
+ Define how it is used

For users, it means privacy and security without giving up trustlessness.

I think this is the missing piece Web3 needs to compete with Web2 storage service and power sophisticated apps.

And with Walrus + Seal, the impossible becomes possible

Btw this isn’t just theory, it already powers applications like @TuskyTools, @AlkimiExchange, @OneFootball, @flock_io, @inflectivAI, @dFusionAI, and many others.

[John @Johnic_IV]

@0xSese On it!

[Kyrian Alex 🐂🀄️ @0xSese]

Dawn is the first DePIN protocol to offer decentralized broadband with multi-gigabit wireless technology on Solana.

Use the URL below to download the app extension

Link:https://t.co/rPHf4H7klb

Use the ref code below.

hoe3i3

And enjoy a boost

[John @Johnic_IV]

@0xSese @billions_ntwk gBillions

[John @Johnic_IV]

@0xSese @billions_ntwk gBillions

[John @Johnic_IV]

@0xSese @billions_ntwk The internet would run on trust and privacy 🧏

[Kyrian Alex 🐂🀄️ @0xSese]

Billions →The Internet Trust Layer for Human + AI

AI today is scaling faster than humans can adapt

Look around you, almost every app and business is rushing to integrate it into their stack

While this is good, as it brings unprecedented efficiency and convenience, the downside greatly outweighs the good

→The problem?

Trust on the internet is broken, and with every prompt and information you input, you help train AI with your data

With thousands of AIs out there with no trace of where they came from, who built them, what data they were trained on - you have zero control of what gets shared

In essence, there’s no verifiable and secure way to interact with AI or know which one to trust

This puts the internet itself at risk, as we can’t tell what’s real, what’s fake, what’s accurate, or what’s wrong

This is what the team of @billions_ntwk is set out to solve

With a vision to bridge the internet trust gap, they built a verifiable trust layer where humans and AI can securely interact, without compromising privacy

→Here’s how they did it with Billions:

Billions is a universal, decentralized verification platform powered by privacy-secured ID and zero-knowledge proofs.

Instead of asking for fingerprints or biometrics (like Worldchain), Billions verifies humanity using your passport (government-issued IDs) and mobile phone.

This means that, on Billions, humans and AI create a verified digital identity, with privacy in check.

For humans, you can:

> Prove you’re real anywhere, without giving away personal data

> Stay protected from bots, scams, and fake accounts

> Unlock personalized rewards for participating and inviting friends to use Billions

For AI, it means:

> Verifiable provenance (who built it, what data it’s trained on, how accurate it is, etc)

> Accountability in human - AI interactions

> A trusted platform to build real reputation

So far, Billions already has 1.7M+ verified users, and is ready to scale to billions

Strategic integration with top web3 projects, mainstream web2 apps, and institutional giants like Polygon, Linea, TikTok, Deutsche Bank, HSBC, and more.

I think the future internet won’t run on just speed or scale - but on trust and privacy.

And Billions is building the foundation to get billions there.

[John @Johnic_IV]

@0xSese @billions_ntwk This is great innovation from Billions network

[John @Johnic_IV]

@0xSese @WalrusProtocol Walrus built real utility around their token

[John @Johnic_IV]

@ivysats @worldlibertyfi Damn! That's a W

[Donalds @ivysats]

not much but honest work.
@worldlibertyfi did.

[John @Johnic_IV]

@0xSese @billions_ntwk gBillions

[Kyrian Alex 🐂🀄️ @0xSese]

AI is no longer just talk. It’s in the banking apps we use every day, it’s in our healthcare systems. It’s already here.

But this speed brings a major challenge. When an AI is part of a transaction or a decision, how do we ensure the interaction is safe, reliable, and accountable? That's the critical question we need to answer now.

This is the problem @billions_ntwk is tackling head-on. It's not another app; it's essential infrastructure for a world where humans and AI must work together securely.

Here’s the practical approach:

A single verification network for everyone:
It is a way to confirm that both the human and the AI in any interaction are legitimate. This is the only way to get real accountability.

Designed to work everywhere:
The system is built to scale across all our devices and across international borders. This is a solution built for a truly connected world.

Safety, privacy, and trust are the foundation:
These are not features, they are the entire point. Every interaction on the network is designed from the ground up to be secure and to protect user privacy.

For the digital economy to grow, especially here, we need this layer of trust. It’s the difference between building on sand and building on solid rock.

[John @Johnic_IV]

@0xSese @billions_ntwk Been sleeping on billions