Right now - nowhere and no one. AI agents have no history. No reputation you can verify. Every platform treats them like a blank slate. And that's exactly the problem ERC-8004, a new standard on the Arc blockchain, is trying to fix.

I spent a few hours going through the documentation and figuring out how it actually works. Honestly, the more I read, the more interesting it got. Let me try to break it down.

The reputation problem nobody was thinking about

We take it for granted that trust is built gradually. A bank looks at your credit history, an employer checks your resume and references, a buyer on a marketplace reads seller reviews. Our entire economy runs on reputation. It's an asset that builds up through every single action you take.

Now AI agents are becoming part of that economy. They trade, manage liquidity, issue loans, handle everyday tasks - and some of them have direct access to your funds. Analysts estimate that within just a few years, a significant share of all DeFi transactions will flow through autonomous agents.

But here's the catch: these agents have zero reputation. None at all. An agent could run flawlessly on one blockchain for a full year, move to another, and start from scratch. And that's the best case - what if it had a bad track record? What if it burned users on a previous platform? It just hops to a new chain and nobody knows its history. Nobody can say: "Yeah, this agent can be trusted with $100K - it's already proven it knows how to handle that."

It's like if every time you moved to a new home or a new city, your entire credit history got wiped. Absurd, right?

What is ERC-8004 - explained simply

ERC-8004 is a standard for the Arc blockchain that solves exactly this problem. At its core, it gives AI agents three things:

• Identity - a unique "passport" for the agent on-chain that can't be faked or copied. Before this, an AI agent in crypto was basically just a wallet with a private key. You had no idea who was running it or whether you could trust it. ERC-8004 gives the agent a unique identifier in the form of an NFT - like a birth certificate. The ID is tied to the specific agent, not to a wallet. You can rotate keys, redeploy on new infrastructure - the identity stays.

• Reputation - a record of all its actions and ratings from external observers, stored on-chain and open for anyone to verify. ERC-8004 has a built-in mechanism for accumulating reputation tags. The architecture is designed so that an agent can't rate itself - only external validators can. That's the protection against gaming the system.

• Validation - a mechanism where independent parties can confirm or dispute an agent's claimed credentials. The Arc docs show the standard is built around independent validators. For example, another agent can confirm that a contract was successfully executed.

Simple analogy: imagine your agent has a resume on the blockchain. It executed a thousand trades - here's the full history. It repaid loans on time - here are the records. It got high ratings from users - all of it is written down and verifiable on-chain. And that history follows it to every platform it ever works on.

Why an agent's reputation converts directly into revenue

The more I thought about it, the more I realized this isn't just about convenience. Reputation literally means more liquidity and more money.

An agent with a solid reputation can borrow at better rates. Get more liquidity under management and earn a higher percentage from its activity and performance. Access exclusive pools. In other words, accumulated trust turns into a real competitive advantage. It's a snowball effect - with every successful action, the chances of getting more liquidity to manage and more clients keep going up.

For users, this matters just as much. If you're picking an agent to manage your funds, you'll be able to check its actual history. Not take the developer's word for it. Not read marketing materials or docs. Just pull up the blockchain and look at real data. That's more honest than any pitch or description.

AI agents are becoming real market participants

The conventional understanding of an AI agent: it's a tool that executes a predefined set of instructions, with no connection to any prior history.

ERC-8004 offers a completely different take.

Once an agent has its own identity, a history of actions, and a reputation - it stops being just a tool. It becomes its own entity. A full participant in the market. And trust isn't handed to it automatically anymore - it has to be earned.

That's an interesting shift in how we think about this. Not that long ago we were saying: "AI helps people trade." Pretty soon we'll be saying something different: "AI trades on its own, and we check its rating before we hand it our money." That's a fundamentally different level.

Web3 was always built around the idea of removing middlemen and replacing trust in people with trust in math. ERC-8004 takes it one step further: now we can trust not just the math, but the behavioral history of the algorithm - history that's transparent and verifiable.

Final Thoughts

ERC-8004 is a real solution to a problem that's only going to get bigger as AI agents become more active players in the decentralized economy.

We're heading toward a world where algorithms manage money, close deals, and deliver services. In that world, trust isn't just a nice addition. It's a necessity. And that's exactly what Arc is trying to build.

I genuinely like the core idea: trust as an asset - earned through actions, stored on-chain, and portable wherever the agent goes. It's transparent. It's honest. And it's pretty close to how a fair market should actually work.

There’s a concept in Miden that immediatly stands out: off-chain. What does it mean, in plain langauge? In a traditional blockchain such as Ethereum, every transaction is checked by all nodes in the netwrok. That keeps it secure, but also makes it slow. Miden does things diferently: users process transactions on their own devices and create proofs that the transactions are valid. The network only needs to verify these proofs-not the transactions themselvs.

And why is this unique? Because off-chain in Miden solves several problems that have long plagued classic blockchains:

• Speed: Transactions can be executed in parallel, without global locks, and almost instantaneously.

• Privacy: Users decide for themselves what data to show the network. Your assets and actions remain confidential.

• Scalability: The network stores only "commitments" - short proofs of state - not full data, so the blockchain's load is minimal, and thousands of transactions can be processed simultaneously.

It is this combination of speed, privacy, and scalability that makes Miden such an interesting project for researchers and developers, and for us, ordinary Web3 users, it opens up the possibility of secure and convenient next-generation applications.

Problems of classic blockchains

When I started looking into why Miden came up with the off-chain model, it became clear that classic blockchains are really limited by their architecture. Here are the main problems that users and developers run into:

Slow transactions.

Each node verifies all transactions. If the network is overloaded, your transfers or actions in smart contracts can hang for minutes.

Global locks.

When one account sends tokens, the network “freezes” that account until the transaction is completed. This prevents multiple actions from being done in parallel and slows down everyone else.

High fees.

Each step of the transaction is performed on all nodes, so you pay a lot for it. Complex smart contracts can cost tens of dollars and more.

No privacy.

Everyone can see who transfers and how much, what they do in smart contracts and what assets they hold. For businesses or people who value privacy, this is a serious disadvantage.

A simple example: imagine you want to send 5 ETH to a friend. On Ethereum, every node checks the whole chain of actions: taking the money from the account, checking the signature, updating the balance. All of this is repeated many times - slowly, expensively, and publicly.

These kinds of limitations are exactly why people started looking for new approaches, and that’s where Miden comes in with its off-chain model.

What is "off-chain" and why does it matter?

When I first encountered the concept of "off-chain", it seemed abstract to me. But in fact, the essence is simple: off-chain is the execution of calculations and verification of transactions locally, on the user's device, and not by the entire network at once.

On Ethereum or other tradtional blockchains, every tx goes through all nodes. Each node checks every step to make sure it’s fair. Secure, but super slow and expensive.

Miden offers a different approach. Here, you can perform a transaction locally, create a proof that everything went correctly, and then just send that proof to the network. The network doesn’t recalculate everything again - it checks that the proof is correct.

This changes how blockchain works big time and brings a bunch of advantages:

• Speed. Since each user checks their own stuff locally, multiple txs can run at the same time. No need to wait for the previous ones like in classic blockchains.

• Privacy. Your actions stay hidden: nobody on the network sees what you’re sending, how much or to whom. The network only sees that it all went correctly.

• Scalability. Not having to redo all txs on every node reduces load n fees. That means blockchain can handle way more txs without costing more.

This approach flips the usual blockchain rules: txs become private, fast and scalable, and users get control over their assets and computations. That’s why off-chain is the core idea of Miden and kinda the future of blockchains.

How Miden Implements Off-Chain?

Miden takes the idea of ​​off-chain and turns it into a working system with specific tools that make transactions fast, private and scalable.

Local transactions and client-side verification

In Miden, users have the ability to perform transactions directly on their devices. This means that all calculations and changes in the account state occur locally. After that, the user creates a proof of the correctness of the transaction - the so-called zero-knowledge proof. The network only verifies this proof, without repeating all the steps again.

A simple analogy: you count your money at home and send a check with a signature to a friend, while the bank only verifies the signature, without recounting your cash. The Miden network works the same way: verification is carried out quickly, and your data remains confidential.

Asynchronous notes

In Miden, assets are moved between accounts through “notes” - special messages that store information about the assets being transferred and the rules for their use.

• Creating a note: you transfer assets into a note, which is not yet visible to the network.

• Updating: while the note has not been used, you can change its conditions - for example, change the amount or the recipient’s address.

• Revoking: if you made a mistake and sent the note to the wrong person, it can be revoked as long as it has not been used.

This works similar to sending money in a sealed envelope: while the envelope is not opened, you can change its contents or return it back.

Hybrid state model

Miden uses a combination of public and private accounts:

• Public accounts store data fully on the blockchain and are accessible to everyone, like standard Ethereum smart contracts.

• Private accounts contain only commitments (consolidated state proofs) on the network, while all details remain with the user.

This provides the ability to conduct off-chain transactions without compromising security and verifiability.

Minimizing blockchain load

This way, the network load is much lower. No need to save full data of all txs and assets. Only the commitment is stored on the blockchain - a short proof that the account state changed correctly.

Think of blockchain like bookkeeping: instead of writing down each txn fully, you just keep the checksums. Saves space and speeds up the system.

All in all, these tools let Miden make blockchain fast, private, and scalable, without losing security.

Practical advantages for users and developers

Miden builds the blockchain so that it is fast, private, and flexible. Let us analyze what this gives us in practice.

Parallel execution of transactions - high speed

In ordinary blockchains, every transaction blocks the network: all nodes must verify it before moving on to the next one. In Miden, this is not necessary. Thanks to off-chain transactions, each account updates its state locally, and the network only verifies the proofs.

Privacy by default - security and confidentiality

All data of private accounts and notes remain with the user, and the network only sees the commitments - that is, proofs of the correctness of the transaction.

Advantage: your assets, operations, and smart contracts remain hidden from outsiders. Mistakes such as accidental transfers or exploits do not reveal the details of your assets, and attackers do not see what you have.

Easy scalability - fewer problems with network overload

Since the network stores only commitments, and all calculations are done locally, Miden minimizes the load on the blockchain. This means:

• fewer problems with data storage;

• the ability to process thousands of transactions per second;

• minimal fees for complex operations.

Example: even if thousands of users are working on the network at the same time, their local transactions do not interfere with each other, and the blockchain does not get overloaded.

Opportunities for developers

For those who create applications on Miden, many new scenarios are opened:

• Complex calculations: now it is possible to perform computationally heavy tasks on the blockchain because proofs are created locally.

• Secure wallets: with account abstraction, social key recovery, spending limits, and other security mechanisms can be built in.

• Flexible smart contracts: private and public contracts can interact, and notes allow the creation of customizable transactions and logic that was previously difficult to implement on Ethereum.

In other words, Miden opens new horizons for both regular users and developers, making the blockchain faster, more private, and more convenient.

Why this could become the standard of the future?

Currently, in the blockchain world, we see a clear trend: projects are looking for ways to make applications faster, more private, and more scalable. The emergence of Zero-Knowledge (ZK) based technologies opens new possibilities - to verify transactions without revealing all details, which is especially important for financial and corporate applications.

Miden shows how off-chain can work in practice. Users perform transactions locally, create proofs of correctness, and the network only verifies them. At the same time, privacy is preserved, and complex calculations do not slow down the entire network.

A simple analogy: imagine that before, every time you sent money to a friend, the entire bank recalculated and checked all your accounts. With Miden, you do everything yourself, and the bank just checks the check. This saves time, reduces load, and ensures confidentiality.

Why this matters for the future of blockchains:

Private and fast applications: users have the ability to exchange assets and interact with smart contracts without revealing excessive information.

Scalability: local computations provide the processing of thousands of transactions simultaneously, eliminating delays and network load.

Flexibility for developers: it is possible to create complex decentralized applications that were previously unavailable on traditional blockchains.

If such projects like Miden become widespread, off-chain technology can set a new standard for fast and private blockchains. This is not just an idea test - it is a really working way to solve the problems that the crypto world faces today.

XMTP provides a secure and decentralized technology that enables applications and users to exchange messages, with each message anchored to their digital (crypto) identity.

When I first heard about XMTP, I’ll admit my first thought was: “Oh, another messenger where you can encrypt chats and talk about crypto.” But I quickly realized it’s far more than just a chat app. XMTP is an entire infrastructure-or, put simply, a communication layer-that you can use to build all kinds of applications and services. In other words, it’s not just a messenger; it’s a foundation that enables new, convenient, and secure Web3 services.

That’s exactly what grabbed my interest. In Web3 we’re always looking for tools that let us create decentralized, reliable, and open solutions, and XMTP is one of those technologies that promises to become the base for countless new possibilities. In this article I want to share my observations and thoughts on why this protocol isn’t just another messenger, but a true foundation for the next generation of decentralized applications.

What is XMTP: not just a messenger, but a protocol?

When we’re used to applications like Telegram or WhatsApp, we usually think of them as specific programs - that is, “apps” we download and use to communicate. But XMTP is not just an app; it’s a protocol.

What is a protocol?

A protocol is a set of rules and standards that govern communication between different programs. You can think of it as a language spoken by various services and applications to understand each other. If a messenger is a specific house, then a protocol is the building material from which many such houses can be constructed.

Why is this important?

Because XMTP is not just a chat app that works independently and “depends” on a single developer or company. It’s a communication layer that can be used by many different apps and services at the same time. This means the messages you send via XMTP can be accessed in any app that supports the protocol. You are not tied to one specific interface - your conversations become truly mobile and universal.

How does the protocol work?

XMTP links your crypto account - for example, an Ethereum wallet - to the ability to exchange encrypted messages. Instead of a phone number or email, you use your wallet as your identifier. Messages pass through a network of decentralized nodes that forward them encrypted so no outsiders can read them. At the same time, you always own your data - it’s not stored on a single company’s servers.

In the end, XMTP is a foundational communication layer for Web3 that can be integrated into various applications - from wallets to decentralized marketplaces and DAOs. This is what sets it apart from regular messengers.

Why developers choose XMTP?

When you start to understand why XMTP is quickly gaining attention from developers, it becomes clear - it’s not just about the idea of a messenger, but about a well-thought-out infrastructure that solves real problems of modern Web3.

Easy integration via SDK

For developers, the main thing is not spending months building a communication layer from scratch. XMTP offers ready-made tools - SDKs (software development kits) for the most popular programming languages: JavaScript, Kotlin, Swift, and others. This means XMTP can be easily integrated into mobile or web applications. The SDK handles all the work with the network, encryption, and message sending, allowing developers to focus on creating user experience and functionality rather than technical details. As a result, integration is fast and seamless.

Security and decentralization - a guarantee of user privacy

In Web3, security and privacy come first. XMTP is built on decentralization principles - messages are sent not through centralized servers, but through a distributed network of nodes. This greatly reduces the risks of hacking, surveillance, or censorship. Moreover, messages in XMTP are encrypted so that only the sender and recipient can read them. This architecture is very important for users who want to keep their data safe, avoid dependence on centralized platforms, and be confident in the privacy of their conversations.

Support for Web3 identities

Another strong point of XMTP is its tight integration with Web3 identities. Instead of usual logins and passwords, crypto wallets and ENS (Ethereum Name Service) are used here. This means your wallet is not just a way to store crypto, but your digital ID through which you can communicate securely. Thanks to this, developers don’t need to build separate authentication and account management systems - XMTP works directly with existing Web3 addresses. This approach simplifies onboarding new users and lowers barriers for interaction in decentralized applications.

Who is already using XMTP?

It’s important to note that XMTP is not just a promising idea, but a working tool chosen by major projects. For example, Coinbase Wallet - one of the most popular crypto wallets - uses XMTP to enable users to exchange messages securely. Another example is Family, a platform for interacting with DAOs and communities, where communication between members is critically important. And Notifi - a Web3 notification service - uses the protocol to make communication as reliable and private as possible. These real use cases prove that XMTP is already being adopted into the ecosystem and becoming part of the future Web3 infrastructure.

How XMTP is changing the approach to communication in Web3?

One of XMTP’s key advantages is its deep integration of communication with the unique features of Web3, which takes user interaction to a new level.

Linking messages to on-chain activity and wallets

Unlike traditional messengers, where an account is just a login and password, in Web3 the foundation of identity is a crypto wallet and blockchain activity. XMTP directly links messages to on-chain addresses - that is, to the user’s real assets and transactions. This means chat becomes not just text correspondence but a tool for interaction tied to real digital assets and activity. Imagine receiving a notification about an offer on your NFT or DeFi position right inside the messenger - and all of this connected to your wallet.

Capabilities for DAOs, NFT Communities, and DeFi

Effective communication is vital for the success of projects within DAOs and NFT communities. XMTP expands the possibilities by closely linking voting, discussions, task management, and information sharing with digital asset governance. In the DeFi ecosystem, where transactions and investments demand fast and reliable data exchange, XMTP enables the development of secure in-app chat solutions that are aware of the user’s blockchain status. This results in improved convenience, transparency, and interaction speed - all critical for decision-making and coordination within decentralized organizations.

“Portable inbox” - messages and data belong to the user, not the service

One of XMTP’s breakthrough ideas is the “Portable inbox.” This means all your messages and communication data aren’t locked into just one app or service-they belong to you through your crypto wallet. You’re not tied to any single app that could shut down or block your access. Your “Portable inbox” and messages go with you wherever you use any XMTP-supported service, so you’re always in control of your data. This concept truly reflects the spirit of Web3, putting data ownership back into the hands of users instead of centralized platforms.

Practical Example: Base App and AI Assistant Chat

Base App is one of the applications already using the XMTP protocol to organize communication between users. Unlike traditional messengers, where chat is just message exchange, here the chat becomes a powerful tool for interacting with the blockchain and Web3 services.

In Base App, through XMTP integration, users can communicate directly and, importantly, receive help from a built-in AI assistant. This AI in the chat doesn’t just answer questions but helps perform various actions - for example, managing assets, tracking transactions, or getting personalized recommendations. This is called “actionable chat” - a chat that allows not only messaging but also performing real actions right from the conversation window.

This approach changes the usual user experience (UX) in Web3. Instead of complex interfaces with many tabs and settings, you get a convenient dialogue where you can quickly get the information you need and immediately do something. This lowers the entry barrier and helps people use decentralized applications more comfortably.

It’s clear that this format holds great promise - in the near future, more Web3 platforms will integrate intelligent chats using XMTP, blending communication and actions seamlessly. This will help bring Web3 technologies closer to mainstream audiences and simplify user experience.

XMTP and the Future

XMTP is actively developing. One of the near-term goals is to expand multichain support.

The team is actively working to improve the user experience. Support for Passkey Identity is being implemented - a simpler and more secure way to verify identity without passwords, making the protocol even easier and more reliable to use.

XMTP has every chance to become a universal communication protocol, a kind of standard on which not only chats but all forms of interaction between users and applications will be built. In the future, almost every decentralized application will be able to use XMTP for sending notifications, messages, requests, and other communications.

Such development can significantly impact the adoption and spread of Dapps. Simple, reliable, and decentralized communication is one of the key factors for user convenience. The easier and more familiar communication within the ecosystem is, the more people will be able to transition to Web3 technologies without fear or difficulty.

Ultimately, XMTP can become the layer that unites different services and communities, making interaction between them smooth and secure, and making Web3 more user-friendly and mainstream.

Conclusion

After studying the material and getting acquainted with XMTP, I have come to the conclusion that this protocol is indeed an important element of the future Web3 infrastructure. It doesn’t just solve the problem of message exchange but creates a universal, secure, and decentralized communication layer that can become the foundation for new, truly convenient and smart applications.

What I especially like is the idea that messages are not tied to a specific app or service but belong to the user. This changes the game and gives much greater freedom and control over one’s data - which is one of the core values of Web3.

I am confident that with the development of multichain support and new features, XMTP will become even more powerful and in demand. Therefore, I recommend everyone interested in Web3 and eager to be at the forefront of innovation to closely follow this project, try out applications built on XMTP, and experiment with its capabilities.

In the 2020s, stablecoins were seen mostly as "a convenient tool for trading." But by 2025, they’ve become more than just an important component of Web3 - they’ve become its heart. Transaction volumes in USDT, USDC, and other stable assets consistently surpass those in ETH, SOL, or BTC. According to recent reports like Circle’s and Tether’s transparency disclosures, stablecoins now account for over 60% of all on-chain transaction volume on several L1 and L2 networks - more than the combined volume of all DeFi protocols.

The reason is simple: stablecoins aren't about speculation. They're about utility. Payments, settlements, transfers. Wherever predictability and speed are needed, stablecoins outperform volatiles - especially in countries facing inflation, unstable currencies, or restricted access to dollars.

But this widespread adoption has revealed a key fact: the Web3 world is built on blockchains that weren’t originally designed for stablecoins.

Ethereum and Solana are general-purpose blockchains. They were built to host all kinds of decentralized applications - DeFi, games, NFTs. Stablecoins are just another type of token among thousands of others.

And that’s the problem. These networks aren't optimized for the specific needs and real-world use cases of stablecoins:

• instant and low-cost payments

• integration with the real economy

• high user reliability and speed

They can't provide a stable, convenient experience for someone who just wants to send $10 to a friend.

Why tokens aren't enough anymore?

Adding a token is easy. Building the infrastructure where it can run at scale, securely and reliably - that’s a different story.

When we try to use stablecoins in real life, we hit a wall of problems:

• High fees: A USDT transaction on Ethereum can cost more than the transfer itself.

• Slow confirmation times: A 30-second delay in mass P2P payments is a UX failure.

• Unoptimized processing: Stablecoins compete for blockspace. No prioritization.

• Security and compliance: No native mechanisms for stability and regulatory alignment at the chain level.

Put simply: a token ≠ infrastructure.

That’s why it’s so interesting to see a new wave of projects building blockchains specifically for stablecoins. Not just tokens - full L1/L2 architectures purpose-built around the stable currency use case.

One inspiring example is Plasma. This project doesn’t try to be everything at once. It focuses on what matters: Bitcoin-level security, seamless USDT functionality, and feeless money transfers. Plasma is specialized blockchain infrastructure for stablecoins - a reliable foundation built for one thing: making stablecoins fast, cheap, and easy to use.

Stablecoins: From Just a Token to Full Infrastructure.

Stablecoins first appeared as tokens on the Ethereum blockchain - the most convenient and popular platform for launching digital currencies. Creating a token there was simple, which quickly led to the emergence of the first stablecoins like USDT and USDC.

However, over time it became clear that creating a stablecoin as a regular token on a shared blockchain comes with serious limitations:

• High fees. When the network is congested, Ethereum transactions can cost hundreds of dollars, making small payments too expensive.

• Low speed and limited throughput. This makes it difficult to use stablecoins for everyday payments and large volumes of transactions.

• Long wait times for transaction confirmations. Users find it inconvenient to wait several minutes to transfer small amounts.

This is clearly seen in examples:

• At peak times in 2023, the average fee on the Ethereum network exceeded $100 per transaction.

• By 2024, about 70% of stablecoin transactions took place on Ethereum, but many users complained about high fees and delays.

• For international transfers and micropayments, such costs and delays negate the main advantages of digital money.

For stablecoins to work more efficiently and become truly universal, a completely new foundation is needed.

This is not just about launching another token on an existing blockchain. A specialized platform is required, built with the unique needs of stablecoins in mind:

• Maximum speed and low latency: so payments are instant.

• Minimal or zero fees for the end user: so micropayments make sense.

• The highest level of security: achievable only through integration with proven protocols, such as Bitcoin level security.

• Native support for leading stablecoins like USDT, with deep liquidity and integrations.

This approach transforms stablecoins from mere "tokens" into full-fledged infrastructure blocks of the Web3 financial ecosystem - platforms where real services and mass products are built.

Why Infrastructure Is More Important Than Tokens?

Many people think that the stability of a stablecoin depends only on who issues the coin - the issuer. But in reality, what matters is which blockchain the token is deployed on and how the infrastructure itself works.

Put simply: even the best and most reliable coin won’t be convenient or safe if the platform it runs on can’t handle the load and doesn’t protect its users.

The Synergy of USDT’s Liquidity and Bitcoin’s Security.

For example, USDT is one of the most popular stablecoins with huge liquidity (meaning a large volume of coins and the ability to quickly buy or sell them). Bitcoin is the most reliable and proven network with strong protection against attacks.

If you combine these advantages - USDT’s liquidity and Bitcoin’s security - you get a very strong and reliable financial tool that users can trust.

For example, USDT’s market capitalization exceeds $80 billion, while Bitcoin’s is over $400 billion, demonstrating serious support and trust in these assets.

Why Simply “Moving” a Token to Another Blockchain Is Ineffective?

Often projects try to just move a token from one blockchain to another to reduce fees or speed up transactions. But if this is just a “wrapper” on top of the blockchain, not a deep integration, the main problems remain.

Without quality infrastructure, users will still face:

• Slow transfers and delays.

• Loss of liquidity - coins can get “stuck” in different systems and become unavailable.

• Increased fees due to additional operations and complexities.

That’s why it’s not just the token itself that matters, but the entire system it is built on. Only a well-designed infrastructure focused on stability, speed, and security can make stablecoins truly convenient and widely used.

Plasma - An Example of Next-Generation Infrastructure for Stablecoins.

Plasma is an example of next-generation infrastructure specifically designed to solve the key problems of stablecoins. It combines two very important elements that rarely come together: Bitcoin’s security and USDT’s liquidity.

Why does this approach provide a new level of trust and scalability?

• Bitcoin’s Security. Bitcoin is the most secure and proven network in the crypto world. Plasma leverages its level of security to guarantee that users’ assets will not be lost or stolen. This provides a strong foundation for trust.

• Optimization for USDT. USDT is the world’s most popular stablecoin with huge liquidity. Plasma is specially adapted to work with USDT, ensuring fast and convenient movement of large amounts of money without unnecessary costs.

• Gasless Transactions. Users don’t pay gas (transaction fees) directly - this solves one of the biggest problems hindering mass adoption of stablecoins, especially for small payments.

Why does Plasma meet the real needs of the market and users?

• In the world of mass payments, where speed and low fees matter, Plasma offers exactly what other solutions lack: stability, security, and simplicity.

• For example, if you want to quickly send $10 to a friend or pay for a service - Plasma allows you to do this without delays or expensive fees.

• For businesses and financial services, it is a platform that can handle large transaction volumes and provide high liquidity while maintaining a high level of security.

Plasma - A Next-Generation Trend.

Plasma promotes a new approach - creating specialized, purpose-built blockchains that don’t try to be universal but solve specific tasks. In this case, an optimal infrastructure for stable and convenient stablecoin payments. This is a much more pragmatic and efficient path than trying to force universality onto one big blockchain.

Why Existing Blockchains Are Not Yet Ready to Become the Foundation for Mass Stablecoin Adoption?

Main Problems of Modern Blockchains.

High Fees (Gas):

At peak times on Ethereum, transaction fees could exceed $50–100 per transaction. For micropayments and regular users, this is too expensive-especially for transfers of $5–10. Such fees make everyday use of stablecoins practically impossible.

Slow Transaction Confirmations:

Transaction confirmations can take from several tens of seconds up to several minutes. This is inconvenient for mass payments-users expect instant completion, especially in commerce and transfers.

Vulnerabilities and Technical Issues:

There have been cases of network failures, attacks, and other problems, especially on less proven blockchains. This reduces the trust level necessary for stable digital currencies.

Why This Hinders the Commercial Success of Stablecoins?

Mass adoption of stablecoins, for example for international transfers and micropayments, requires:

• Low fees so that transfers are economically viable.

• Fast transactions so money arrives instantly.

• Reliable security to eliminate risks of fund loss.

If even one of these factors is missing, businesses and users simply won’t be able to effectively use stablecoins in daily life.

Decentralization vs. Scalability - A Classic Dilemma.

One of the main problems of traditional blockchains is the conflict between decentralization and scalability:

• The more decentralized the network, the harder it is to process thousands of transactions per second quickly.

• The higher the speed and scalability, the more often decentralization and security have to be sacrificed.

Traditional blockchains have yet to find an optimal balance between these factors -they are either slow and expensive, or fast but less secure and more centralized.

Why New Solutions Are Needed, Not Temporary Fixes or Overlays?

Plasma offers not just surface-level improvements but a fundamental rethink of the entire architecture:

• Creating specialized blockchains focused specifically on stablecoins and payments.

• Leveraging the strengths of existing networks (such as Bitcoin’s security) without sacrificing speed and convenience.

• Eliminating fee and delay problems at the infrastructure level itself, rather than trying to “patch” them externally.

Stablecoins Accessible to Everyone.

Scalable and reliable stablecoins are not just new crypto assets. They have the potential to become a crucial tool for global financial inclusion, especially in countries with unstable economies and limited access to banking services. Imagine millions of people being able to safely store and transfer money without high fees, delays, or access difficulties - this is exactly what stablecoins built on the right infrastructure can offer.

Until now, cryptocurrencies have mostly been associated with speculation - people buying them hoping their value would increase. However, for crypto to become a widely accepted means of payment, stability, speed, and low costs are essential. This is where new infrastructure solutions for stablecoins come in, enabling cryptocurrency to be used as money rather than just an investment asset.

Institutional Interest: Banks and Major Players Are Taking Notice.

Currently, more and more major financial institutions and banks are showing interest in stablecoins and projects offering convenient infrastructure.

• Some banks are starting to integrate stablecoins into their services for international transfers.

• Institutional investors are directing capital toward projects building new infrastructure because they see significant potential for growth and practical use.

This indicates that the financial sector is beginning to view cryptocurrency as an important part of the future monetary ecosystem.

Such a shift opens up huge opportunities:

• For developers: the emergence of specialized platforms provides tools to create new financial products that are fast, secure, and user-friendly.

• For businesses: the ability to accept payments in stablecoins without fear of high fees or delays.

• For users: a simple and accessible way to transfer money worldwide, bypassing banking barriers and currency restrictions.

Why is the current moment especially important?

We are on the brink of moving from experimental solutions to practical financial tools capable of transforming millions of lives. Increasing instability of traditional currencies, growing interest in the digital economy, and the evolution of Web3 create unique conditions where new infrastructure for stablecoins is not just desirable - it’s essential. This moment represents an opportunity to make cryptocurrencies truly mainstream and useful for everyone.

Many of us have started to wonder whether it’s worth giving our data to giants like OpenAI or Google. Their closed models are a kind of “black box”: we don’t see how exactly the algorithms work, what data is collected, and how it is used afterward. Control and transparency are minimal, while tracking of our actions remains entirely under their control.

On the other hand, the emergence of open models like DeepSeek, Mistral, and others has provided a real alternative. Now it’s possible to run LLMs without relying on big corporations and without directly handing over our data to them.

But there is a serious catch these models require huge computational resources.

In the end, freedom exists but it is available only to those who have massive data centers and budgets. Freedom for ordinary users remains out of reach for now.

The Privacy Gap in Open Models.

Today, it’s possible to run LLMs without OpenAI. Thanks to open models like DeepSeek R1, Mistral, or LLaMA 3, we have a real alternative to centralized APIs from OpenAI, Anthropic, and Google. This allows us to avoid dependence on centralized services and maintain control over our own data.

But this naturally raises a question:

Is it possible to run these models privately without the risk of data leaks?

Ensuring privacy when using such models remains a crucial issue.

In the Web3 community, people often talk about “private AI,” but in practice, it’s not that simple there are many technical challenges, especially when it comes to privacy-preserving methods like SMPC. These methods are reliable but very slow and expensive.

And here comes Ritual. They claim that private AI is possible. They are working on innovations that will make private AI more efficient and accessible.

SMPC: Privacy at a Cost.

SMPC, or Secure Multi-Party Computation, is a method where a data processing task is split among multiple servers. Each server only receives a fragment of the information, so none of them sees the complete original input.

In other words, when you run an AI model using SMPC, your data is never fully exposed to any single server. The computation is done collaboratively, while privacy is preserved.

It sounds impressive and it seems like privacy has finally taken on a real, tangible form. However, in practice, things are much more complicated. These technologies are extremely complex and face serious challenges in terms of performance and speed. Computations using SMPC are significantly slower than standard inference, especially when it comes to complex nonlinear operations in large language models.

This means that while SMPC provides a strong level of privacy, it’s still difficult to use it effectively for truly large and powerful models and this is exactly where there’s room for further research and innovation.

SMPC: Challenges and Limitations.

The main problem of SMPC is the nonlinear functions in large language models.Operations like GELU and softmax are poorly "digested" by cryptography.They can't just be computed in parts without a strong slowdown and communication overload.

To solve this problem, researchers started replacing nonlinearities with approximations.

MPCFormer was the first to propose replacing them with quadratic functions.This gave a 2–5× speed increase, but the model loses accuracy and to bring it back, you need to retrain the model, which is expensive and long.

PUMA went further: it uses piecewise polynomial approximations, where each nonlinearity is replaced with four segments of simple formulas.This allows avoiding retraining and achieving high accuracy.But some of these formulas are of the sixth degree, and that is still too resource-intensive in SMPC.

NIMBUS is the last in the chain.It analyzes the distribution of inputs and picks lighter approximations, lowering the degree of polynomials to two.This gives a serious speed boost, while keeping the accuracy, and makes the approach more practical.

Progress is obvious from MPCFormer to NIMBUS, inference was accelerated almost 10 times.But even with such improvements, it is still much slower than the standard model run.The nature of the task is still not on our side: SMPC computations by definition require many steps and interaction between participants, and it’s still impossible to completely avoid that.

Shuffling Privacy: The Power and Limits of Permutations.

Against the backdrop of the complexity and high cost of cryptographic methods such as SMPC, alternative approaches are emerging that aim to ensure privacy in simpler ways.

One such approach is permutation methods. The idea is not to encrypt data or distribute it using expensive protocols, but simply to shuffle the model’s hidden states before sending them for inference. This is possible thanks to the permutation equivariance of LLMs: large language models are robust to changes in the order of internal variables and can correctly process shuffled hidden states. Thus, the model can handle a “shuffled” state, while the server does not receive information about the real data.

The main argument in favor of the security of this approach is the astronomical size of the permutation space. If a hidden state contains 1024 elements, the number of possible permutations is 1024! (factorial of 1024), which exceeds the number of atoms in the Universe. Such a huge number of possibilities makes brute-forcing all permutations and restoring the original order practically impossible.

However, Ritual claims that this is not enough. Even with such a huge space of possibilities, they found a way to recover the original hidden states with almost 100% accuracy and in linear time. They promise to reveal the details later and this calls into question the entire line of research based solely on permutations as a replacement for cryptography.

Ritual’s Attack: Shuffling Isn’t Enough.

Despite the apparent effectiveness of permutation methods, the Ritual team conducted research and showed that they are not as reliable as previously thought. They devised an attack that almost completely recovers the original hidden states with 99.99% accuracy.

This means that even if the data was shuffled before processing, an attacker can still almost precisely determine what the original input was.

Ritual demonstrated that simple data shuffling does not provide reliable privacy and calls into question the effectiveness of all such approaches.

Choosing Between Privacy and Performance.

Right now, the situation is this: if you want truly private AI, get ready for slow and expensive SMPC operations. If you want speed, you have to compromise on security and use methods like permutations which Ritual has already shown don’t provide sufficient protection.

In the end, we face a dilemma: either wait for someone to make a real breakthrough, or choose between usability and true privacy.

We’re in a situation where you either sacrifice privacy for speed, or wait for new technologies that can provide both.

We’re one step away from a breakthrough one where you no longer have to choose between privacy and convenience. I’m sure Ritual will eventually show how to make it happen.

Ritual’s Promise: A New Era of Private AI.

After demonstrating the attack on permutation-based methods, the Ritual team announced that they are working on their own solution to the problem of private inference.The promises are ambitious:

• Faster than SMPC

• More reliable than simply shuffling hidden states

• At the same time, open and verifiable

The technical details have not yet been disclosed, but the focus is on accessibility, verifiability, and practicality which distinguishes their approach from previous complex or theoretical solutions.If they succeed in implementing this in practice, it could lead to a real breakthrough in AI privacy — not just in theory, but in ready-to-use tools.

How SP1 is Verified: Tools and Achievements.

SuccinctLabs is working together with experts from Nethermind true professionals in formal methods and verification. Together, they have built a special tool that translates SP1’s circuits, constructed on the Plonky3 framework (mathematical constraints describing the virtual machine’s operation), into Lean a system for formal proofs and verification.

So far, they have proven the correctness of one of SP1’s key components the AddSub chip. This module handles addition and subtraction with 32-bit wrap-around overflow, a fundamental operation in processor arithmetic and a crucial part of computational logic.

In addition, the team is actively improving the verification infrastructure itself, aiming to scale the proof process to cover all basic and complex components of SP1 more quickly and efficiently in the future.

SP1 and Security: Why Strong Proofs Matter.

Errors in zk-computations are not typical bugs that can be easily spotted and fixed. If there is a flaw in the virtual machine processing proofs, it can be very hard to detect and could lead to severe consequences, including the failure of the entire protocol.

It’s important to understand that simply proving determinism that the system produces the same output for the same input does not guarantee the absence of logical errors in computations. Formal verification offers much more: it mathematically proves that the circuit behaves exactly as intended and will always work correctly.

This means zk-rollups built on top of SP1 can achieve a much higher level of trust. Now, trust is not based merely on faith in the development team’s words, but on rigorous mathematical proofs that guarantee security and correctness.

SP1 and the Nethermind team are working on formal verification of their zkVM circuits using Lean meaning they are trying to mathematically prove that everything works correctly.They have already proven the correctness of an important component the AddSub chip, responsible for basic addition operations with overflow handling.This is just the beginning, but a significant step toward ensuring the entire virtual machine is guaranteed to be safe and error-free.Unlike traditional audits and tests that check the system in practice, formal verification is a higher level a mathematical guarantee of correctness.

In today’s Web3 world, security and transparency are the key principles. zk-proofs let you confirm that an action was done without revealing any unnecessary details. The catch is, these proofs can be quite complex and take a lot of time to compute. Meanwhile, Ethereum processes thousands of In today’s Web3 world, security and transparency are the key principles. zk-proofs let you confirm that an action was done without revealing any unnecessary details. The catch is, these proofs can be quite complex and take a lot of time to compute. Meanwhile, Ethereum processes thousands of transactions every second and if the proof generation slows down, the whole network can get bogged down, making the apps frustrating to use.

That’s why there’s been a real need for fast zk-proofs that don’t hold back the network’s speed. The arrival of technologies that can produce these proofs almost instantly is a major breakthrough. With them, Ethereum can scale up without sacrificing its reliability and security.

This is where fast proofs come into play. The faster a network can generate and verify proofs, the more scalable, affordable, and accessible the entire ecosystem becomes. It’s a real game changer for the whole Web3 space.

The key to this speed lies in new mathematical constructions that make computations much more efficient. In SP1 Hypercube, one of the leading projects, they use an innovative technology called Jagged Polynomial Commitments or, simply put, “jagged polynomial commitments.”

Imagine you need to pack a bunch of different shapes regular polynomial proofs are like balls that don’t fit well together and leave a lot of empty space. Jagged PCS, on the other hand, are like neat rectangles that fit perfectly side by side, saving both space and time.

This kind of “smart packing” significantly speeds up proof generation and verification. Thanks to that, SP1 Hypercube can prove Ethereum blocks almost in real time in under 12 seconds, which used to sound like pure science fiction.

What Is Jagged PCS and Why It’s a Game Changer.

To understand what makes the Jagged PCS approach so unique, we first need to break down what polynomial commitments (PCS) are and why they matter in zero-knowledge proofs.

In simple terms: what is a polynomial commitment?

Imagine you want to prove that you know a large, complex list of values (say, a big table of calculations), but you don’t want to reveal the whole thing upfront. Instead, you “seal” this table inside a special box that’s your polynomial commitment.Later, when someone asks to verify a specific value, you can reveal just that part. The commitment guarantees that this value truly comes from the original table without needing to open the rest.

This technique lets you prove complex computations in a compact and private way it’s a core building block of many zk-protocols.

So, what makes Jagged PCS special?

Traditional PCS work with tables where every row and column has to be the same size even if some of the cells are empty. That’s inefficient: you’re paying for the whole table, even if you're only using part of it.

Jagged PCS flips that model: you only pay for what you actually use. If your table has some short rows and some long ones that’s totally fine. Jagged PCS "understands" the irregular structure and doesn’t waste resources on empty space.

Think of it like cloud storage: a standard PCS is like paying for 100 GB even if you only use 10. Jagged PCS is like a flexible plan where you only pay for what you store.

Why does this speed up the zkVM?

A zkVM (zero-knowledge virtual machine) is a virtual computer that runs programs and generates proofs that everything was computed correctly.

Old zkVM architectures were slow because every single line of the program even the irrelevant parts had to be proven. Jagged PCS changes that: it allows you to commit to and reveal only the pieces that matter, which drastically reduces the workload.

In SP1 Hypercube, Jagged PCS has been the key to major performance improvements:

• less data to check means faster verification,

• less wasted computation means lower costs,

• and better efficiency leads to greater scalability.

SP1 Hypercube How It Works.

SP1 Hypercube is the first system that truly brings zk-proofs into real-time performance:

• 93% of Ethereum blocks are proven in under 12 seconds,

• with an average proof time of just 10.3 seconds.

This isn’t just a research prototype it’s production-ready speed. That unlocks real capabilities:

• rollup solutions that update in real time,

• node and validator synchronization without needing to download full history,

• and a more scalable and secure Ethereum layer

Mathematical magic: the shift to multilinear polynomials.

The key innovation in SP1 Hypercube is the transition from univariate to multilinear polynomials.

Older systems (like STARKs) used univariate polynomials think of them like spheres: smooth, elegant, but hard to pack tightly. No matter how you arrange them, there’s always unused space between them.

Multilinear polynomials are more like rectangles you can pack them tightly with no gaps. This "dense packing" brings several advantages:

• data and computations are expressed more compactly,

• proof generation is faster,

• and verification requires fewer resources.

That’s what makes SP1 Hypercube so efficient: it combines these “rectangular” polynomials with Jagged PCS, which ensures you’re not paying for empty or unused parts. Together, they power a lightning-fast zkVM capable of real-time performance.

Efficiency and hardware.

What’s perhaps most impressive is the cost of running it.

SP1 Turbo (the previous version) required high-performance clusters. But SP1 Hypercube:

• runs twice as fast,

• uses half the GPU power,

• can be deployed on a cluster of ~160 RTX 4090s for around $300–400K,

• or as low as $100K with hardware optimizations.

For zk teams or validators, this isn’t some unreachable enterprise-tier budget it’s a realistic entry point.

What This Means for the Ecosystem.

Scaling Ethereum Without Compromising Security.

Ethereum has long faced the classic blockchain trilemma: scalability, security, decentralization pick two.zk-proofs, and especially zkVMs, have promised a way to break this trade-off, but in practice, proofs have often been too slow and expensive to fulfill that promise.

SP1 Hypercube breaks that paradigm.

We’re now seeing the rise of rollup systems that can:

• update in real time,

• be verified directly on Ethereum L1,

• operate trustlessly no need to rely on a centralized operator or aggregator,

• maintain full verifiability by regular nodes.

This is Ethereum scaling where every participant can verify correctness without running a full node or storing terabytes of history. A true “light client, full security” future.

Proof Generation for Everyone.

Here’s the truly revolutionary part: anyone an individual or a small team can now run their own zk prover:

• the source code for SP1 Hypercube will be open after auditing,

• cluster setup starts at around $100K (not millions),

• GPU requirements are half of what earlier versions needed.

This brings us closer to a world where zk-proofs aren’t just for big players and VC-backed teams, but also for indie developers, DAOs, and independent validators. The entire Ethereum infrastructure becomes more decentralized, open, and resilient.

Rollups, dApps, and Cross-Chain Applications.

Now imagine the broader impact:

• Rollups can publish proofs every block instead of every few minutes or hours. That boosts both security and user experience with lower latency and faster confirmations.

• dApps can integrate real-time zk-proofs directly into their logic from games and DeFi, to DAO governance and digital identity systems.

• Cross-chain interactions become safer: any claim on one chain can be proven and verified on another without intermediaries.

SP1 Hypercube isn’t just another zkVM or a new implementation. It’s a leap toward the widespread adoption of zero-knowledge technology.zk-proofs are leaving the lab and becoming a real, usable part of the ecosystem accessible to everyone.

A New Level of zk for Web3.

If you’re living in the Web3 world whether you’re a developer, researcher, or an active observer keeping an eye on projects like SP1 Hypercube is a must. This isn’t just another zkVM upgrade; it’s a true breakthrough that’s reshaping how we think about zk-proofs.

SP1 Hypercube, with its new architecture based on multilinear polynomials and the innovative Jagged Polynomial Commitments scheme, unlocks real-time proofs on regular consumer hardware. That means high speed, low cost, and accessibility are no longer obstacles.

Jagged Polynomial Commitments introduce a fundamentally new model “pay only for what you use” greatly boosting the efficiency and scalability of zk-protocols. Together with SP1 Hypercube, they set a new performance standard and open up exciting opportunities for Ethereum, rollups, decentralized apps, and cross-chain interactions.

In the coming months, it’s worth following this project closely, joining discussions, and exploring the open-source code. Because technologies like these are shaping the future of Web3 today.

Ethereum has become the most scalable network in Web3. We have witnessed the rise of DeFi, the NFT boom, the emergence of DAOs, the network's transition to Proof of Stake, and the development of Layer 2 solutions. Ethereum works, scales, and continues to attract new participants.

But among all these achievements, there is one fundamental problem that still hasn't been solved — Ethereum remains completely transparent. Every address, every transaction is open to everyone. And while this used to be considered a virtue of decentralization, it is now becoming a serious limitation. Today, blockchain is becoming more mature. Institutional players are entering the ecosystem, governments are showing increasing interest, and use-cases involving sensitive data are actively developing: voting, medical records, in-game states, AI models, and much more. And all of this — on a network where nothing is hidden.

None of us want someone to see how much money we have, who we interact with, what we buy, and how we vote. Especially if this data can be used against us.

Without privacy, there will be neither mass corporate adoption nor user trust.

That is why today, privacy in Ethereum is not just an optional feature. It is a necessary step toward the maturity of the entire ecosystem. And this is where a new player appears, offering a radically new solution: Fhenix.

What is Fhenix? A simple explanation.

Fhenix is a Layer 2 solution that interacts with the existing Ethereum blockchain and offers additional features to enhance privacy.

The main feature of Fhenix is the use of Fully Homomorphic Encryption (FHE) — a cryptographic technology that allows computations to be performed on encrypted data. Simply put, this means that information can be processed without revealing its content.

When data is encrypted, to interact with it, it must first be decrypted. This introduces new security risks. FHE allows computations to be performed directly on encrypted data without compromising its confidentiality.

For Ethereum, this is an important update, as it addresses the privacy issue at the level of smart contracts and transactions. For example, while previously all transaction details were visible to all participants in the network, with Fhenix, data can be encrypted, but operations on it will still take place in the public network.

Additionally, Fhenix is compatible with the EVM (Ethereum Virtual Machine). Development on Fhenix can use familiar tools and programming languages, such as Solidity.

Why this is needed: problems that Fhenix solves.

Ethereum is an excellent blockchain for creating open and decentralized applications. However, in certain cases, when it comes to confidential information, data availability can pose a risk.Here are the main problems that users and developers may face:

1. Public voting.

One of the clear examples is public voting. In some cases, it is extremely important that the results of the vote remain anonymous and protected from external influence. However, the openness of traditional Ethereum makes the voting process vulnerable to manipulation. If everyone knows who is voting and how, it can create pressure on participants, which negatively affects the fairness of the vote.

How does Fhenix solve this?

By using FHE in Fhenix, it is possible to organize voting with complete anonymity of participants, while ensuring openness and transparency of the results. This guarantees that the voting will take place fairly and without manipulation, and personal data will remain safe.

2. Auction leaks.

Another common problem is a situation when auction participants can see the bids of other users before the auction ends. This phenomenon is often seen in the NFT market, as well as in the DeFi space, where openness can be used not in the interest of honest players. If someone learns the bids of others in advance, they can adjust to them, manipulate the process, and win the auction. This undermines the fairness of auctions and reduces users' trust in the system.

How does Fhenix solve this?

With the help of Fhenix, it is possible to conduct auctions where bids and participants remain anonymous until the very end of the auction. Transparency will be ensured only at the final stage, when only the winners will be announced. Thus, Fhenix helps maintain the fairness of the process by preventing manipulation and bid leaks.

3. No Anonymity in DeFi.

DeFi (decentralized finance) allows users to earn, borrow, exchange cryptocurrencies, and take part in various financial operations without intermediaries. However, the lack of anonymity on DeFi platforms creates serious difficulties for users — especially for those who want to keep their financial privacy. In DeFi, all transactions are public, and no one can hide their actions or financial history.

How does Fhenix solve this?

Fhenix offers a solution by enabling anonymous transactions using smart contracts, which is extremely important for keeping financial operations private. With the help of FHE, it becomes possible to create private transactions that are protected but can still be verified through public checks.

4. Manipulations in GameFi.

GameFi is an ecosystem of blockchain games where players can earn money by participating in game worlds, trading items, tokens, and different in-game assets. But the transparency of the blockchain can lead to manipulation. For example, players can track others’ actions, study their strategies, or even spread false information about their own moves to gain an advantage. In games like online poker or other competitive formats, this kind of transparency can undermine the whole idea of fair play.

How does Fhenix handle this?

Fhenix brings privacy into the gameplay by hiding players’ actions, strategies, financial moves, and results. This helps create a fair environment where players don’t have to worry about their actions being used against them. This is especially important in games that require a high level of security, like gambling or high-stakes competitions.

5. MEV and frontrunning.

This happens if some participant has access to mempool data. They can place their transactions with increased fees, and then this problem arises. It gives them the opportunity to get ahead of other users and creates unequal conditions for regular participants.

How does Fhenix solve the problem?

All transactions in the mempool can be encrypted and hidden from other network participants until the moment of their final processing. This eliminates the possibility of frontrunning and other manipulations, since no one can know in advance which transactions will be executed.

Why Fhenix and FHE could become the new standard of privacy?

When it comes to privacy protection in blockchain, Zero Knowledge Proofs (ZK) immediately come to mind. These technologies make it possible to confirm the truth of a certain statement without revealing its content — it’s impressive, efficient, and already actively used in the Ethereum ecosystem.

Nevertheless, it’s important to emphasize that Fully Homomorphic Encryption (FHE) is not a competitor or replacement for ZK, but represents the next step in the development of technology. The capabilities of FHE are fundamentally different: ZK says, “I can prove I’m right without revealing the details.” While FHE says, “You can work with my data without knowing anything about it.” In a sense, ZK provides privacy of validation, whereas FHE ensures privacy of computation.

Fhenix and FHE are not just another useless technology, but the foundation of a new level of privacy.

ZK is suitable for confirming specific results, but not for dynamic processes. What do you do when you need to continuously process sensitive data? For example:

• AI models that are trained on users’ personal information.

• Management of private crypto wallets.

• Medical or legal services that require protection of personal data.

• Age or citizenship verification without disclosing personal details.

In all of these situations, it is impossible to solve the problem using only ZK. However, FHE successfully handles this task: it allows operations on data without the need to decrypt it.

Just as scalability became a key element of blockchain, privacy is already becoming a critical requirement. Fhenix and FHE are about making every application private by default, if needed.

Web3 is transitioning into the privacy phase.

The world we live in is increasingly focused on protecting personal data and privacy. Perhaps this is why Web3, with its core principles of decentralization, autonomy, and independence from centralized organizations, inevitably had to face the issue of privacy. However, until recently, the problem remained unresolved.

Fhenix gives us privacy by default. Now, building fully private and secure applications is not only possible — it is becoming the standard, available to any developer.

When we talk about smart contracts, we usually imagine a piece of code that executes predefined conditions: if A, then B. It's precise, predictable, and immutable. That’s both the strength and the weakness of such contracts.In most cases, a smart contract is a rigid script. It can’t respond to changes in the outside world, can’t adapt to user behavior, and can’t “learn.” You can update it, but only manually through redeployment, which introduces delays, risks, and costs.

But Web3 is evolving. More and more often, the question arises:Can smart contracts become truly smart?

What if a contract could:

• analyze data,

• draw conclusions,

• adapt its strategy in real time?

The integration of artificial intelligence with smart contracts opens up possibilities for a new generation of applications. But how can this be implemented in a blockchain context without relying on centralized APIs or servers?

The answer is Ritual a new blockchain built specifically to integrate AI into the on-chain environment. Ritual embeds AI models directly into the blockchain and can verify that a result was indeed produced by a model. This means smart contracts can now not only execute, but also make decisions based on data, logic, and analysis.

What makes a smart contract truly “smart”?

When we talk about “smart contracts,” it often sounds more like a marketing slogan than a technical definition.But imagine a contract that can actually assess the situation, adapt to changing conditions, and make unique decisions.

Examples of this kind of “smart” behavior might include:

• Analyzing trends in on-chain activity whether things are going up, down, or staying flat.

• Adjusting protocol parameters based on metrics like TVL, volatility, or user activity.

• Personalized interaction: the same contract behaves differently depending on the user’s address, reputation, or activity history.

So what does AI bring into the picture?

• Variability: the contract can choose between different courses of action.

• Predictiveness: it can anticipate user behavior or market trends.

• Adaptability: it can respond to new conditions without needing manual updates.

Ritual is the first blockchain to offer infrastructure for this kind of functionality.It enables secure AI execution within onchain logic, turning ordinary contracts into truly smart mechanisms capable of learning and evolving alongside the ecosystem.

Example from DeFi: adaptive protocol.

Most traditional DeFi protocols operate according to pre-written rules and strategies. They are rigidly programmed: for example, how to distribute liquidity, when to change rates, or how to manage risks. But these strategies do not change by themselves they need to be updated manually, through code updates.

What changes if AI is introduced? The protocol becomes adaptive it can independently “notice” when the current strategy stops being effective and adjust its behavior in real time.

Here is what this approach opens up:

Dynamic redistribution of liquidity: the protocol decides where it is better to direct assets for maximum yield, taking current market conditions into account.

Automatic switching of strategies: when one strategy begins to bring less profit or becomes too risky, AI can switch the protocol to a more suitable mode of operation.

Risk management based on a model: the protocol analyzes data, assesses potential threats, and adapts parameters to minimize losses.

How “training” works in a decentralized environment.

In classical AI systems, training and adaptation happen on centralized servers data is collected there, models are trained, and then the results are sent to users. This approach is not suitable for decentralized applications, where transparency, security, and independence from a single point of control are important.Ritual offers a new path: training and adaptation happen without a center, thanks to running AI inference directly on the blockchain.

What is inference? It is the process when an already trained model “makes conclusions” analyzes data and makes decisions. In the case of Ritual, a smart contract can receive inference results directly on the blockchain, without needing to contact a centralized server.

How does this work in practice? For example, a smart contract analyzes user actions in a DeFi protocol: who, when, and how interacts with the system. Then, using external AI inference (which runs off-chain, but its computation results are verified and recorded on the blockchain), the contract selects optimal operating parameters liquidity distribution, interest rate levels, or risk management measures.

Thus, the smart contract actually “trains” in real time, adapting to new conditions and user behavior and all of this transparently, verifiably, and in a decentralized way thanks to Ritual’s technology.

The main advantage for developers on the Ritual blockchain.

For developers, a smart contract is always about strict rules so that the future scenario of the algorithm is executed precisely. Everything is uniform and predictable.

On the Ritual blockchain, instead of “dead” code, we now have a smart contract that can learn and adapt to the situation. The application can analyze user behavior, draw conclusions, and change its logic in real time without waiting for the developer to manually update the code.

When developers create applications on the Ritual platform, it becomes significantly easier to handle complex tasks. Previously, implementing complex mechanics required writing many lines of code with endless “if then” conditions. Now the situation has changed: it’s enough to connect one AI model, which independently analyzes the situation and makes decisions in real time.This greatly simplifies the development process, saves time and resources and most importantly, allows for faster application launches, making them more flexible and “alive.”

I tried to understand what Espresso Network is and what it's used for. It turns out that it addresses a very relevant challenge it facilitates interaction between different blockchains. It acts as a specialized layer that allows blockchains to quickly verify the state of their own chain as well as others.

At the core of Espresso Network lies a component called HotShot, which manages the ordering of transactions. It doesn't work alone it distributes roles: some nodes are responsible for data storage, while others handle transaction execution. This significantly reduces the load, especially in large networks where the number of nodes can reach thousands.

To ensure data availability, a separate layer is used EspressoDA. It includes three levels: distributed storage of encoded data fragments (VID), a small committee that ensures fast data access, and a content delivery network (CDN) to improve transmission speed.

Thanks to all of this, blockchains can not only coexist but actually interact meaningfully with each other.

What problems does Espresso Network solve in Web3?

Web3 currently faces three major challenges:

1. Bottlenecks in data and transaction ordering confirmation. As the number of users and the volume of data grow, traditional blockchains struggle to process and confirm all transactions quickly.

2. High hardware requirements. To participate in consensus, nodes often need powerful servers with a full copy of all data this limits the number of participants and reduces decentralization.

3. Centralization and censorship vulnerability. Many data availability (DA) solutions which ensure that all transaction data is accessible and verifiable by network participants rely on small groups of nodes or centralized services. This creates risks of transaction freezing or censorship.

Espresso effectively addresses these challenges as follows:

The HotShot system confirms transactions rapidly, while the specialized EspressoDA layer ensures data availability guarantees with nodes receiving data in parts, without the need to download it in full. EspressoDA’s three-layer architecture which includes Verifiable Information Dispersal (VID) for distributed data storage, a small committee for fast data recovery, and the use of a Content Delivery Network (CDN) helps achieve an optimal balance between speed, security, and scalability.

How Espresso Network Works: A Technical Overview in Simple Terms.

In the Espresso network, the transaction confirmation process is carried out in several stages, ensuring both high speed and strong security.

Leader Selection and Block Formation

In the HotShot ecosystem, a leader node is appointed in each round this is the node that accumulates transactions from various sequencers (nodes that propose new transactions) and forms them into a single large block. A key point is that other nodes do not process the transactions they simply confirm that the block data is available and can be validated.

Data Splitting and Encoding (EspressoDA)

To avoid the need for each node to store the entire data block, EspressoDA splits the block into many small fragments. These fragments are encoded using a unique method (VID Verifiable Information Dispersal), which allows the data to be recovered even if some parts are lost. Each node receives only a small portion of the data, preventing overload.

A Small Committee for Fast Recovery

There is also a small committee of nodes that receive the full set of block data. These nodes are needed for quick data reconstruction if any node encounters problems with its portion of the block.

Content Delivery Network (CDN) for Instant Transmission

To quickly deliver data to all nodes, a content delivery network is used it acts like a “high-speed internet” within the network, helping rapidly disseminate information across the environment.

Data Availability Confirmation (DAC)

When a sufficient number of nodes receive their data segments and confirm their availability and correctness, a special certificate is generated the Data Availability Certificate (DAC). This certificate provides assurance that the block data is truly available and cannot be hidden.

Block Confirmation in HotShot and Transaction Execution

After the DAC is obtained, the block is confirmed by the HotShot network. This means the transaction order is considered reliably fixed. The transactions can now be safely executed and added to the chain.

Why Espresso Network Is the Future of Verification for Web3.

Espresso is an innovative approach to transaction verification that eliminates the traditional drawbacks of blockchains and opens up new possibilities for developers. That’s why this solution could play a key role in the development of Web3:

Scalability: works even with thousands of participants

Typically, in blockchains, as the number of participants grows, the network becomes slower and more expensive because each participant needs to communicate with every other one. Espresso overcomes this barrier: the system is designed so that each node interacts with only a limited number of others (this is called linear communication), rather than with everyone at once. This allows:

• thousands of nodes to be supported within a single network;

• validators from Ethereum to be integrated via mechanisms like restaking allowing existing stakers to contribute to Espresso’s security without running separate infrastructure.

Optimistic responsiveness: near-instant confirmations

Under normal conditions (i.e., when the network is operating without attacks or disruptions), transaction confirmations in Espresso happen very quickly within just a few seconds. This is achieved through:

• an optimistic approach the system assumes participants are acting honestly and only initiates additional checks when issues are suspected;

• speed depending on network bandwidth rather than computing power or the volume of data that all nodes need to download.

Flexibility: compatible with different DA solutions

Espresso doesn’t force developers to use one specific solution for data availability (DA). Instead, several options are possible:

• use EspressoDA, its own efficient and decentralized data availability layer;

• use third-party DA solutions, such as Ethereum or Celestia;

• even configure a custom combination tailored to the needs of a specific chain.

This makes Espresso convenient for integration into any blockchain project.

Security: protection against censorship and bribery

Many other verification systems are vulnerable to attacks: bribing a small committee of nodes may be enough to break the system’s guarantees. Espresso handles security differently:

• the DA committee is selected randomly and changes every round making it harder for attackers, since they don’t know whom to bribe;

• the VID protocol (data splitting and encoding) adds another safety net even if the committee fails, the data can still be recovered and verified;

• a DAC (Data Availability Certificate) is only issued if the data is available to a large number of nodes making it impossible to “hide” transactions.

What this means for rollups and bridges

Espresso unlocks many new possibilities for rollups and cross-chain bridges:

• transaction confirmations can be received quickly without waiting for L1 (e.g., Ethereum) finality;

• infrastructure load can be reduced by relying on a neutral external source of confirmations;

• decentralization and transparency can be guaranteed without sacrificing speed or security.

In the end, Espresso offers a unique combination of speed, scalability, flexibility, and security—making it an ideal choice for real-world Web3 applications, especially in the multichain ecosystems of tomorrow.

How can developers use the Espresso Network?

Espresso is a powerful tool that helps blockchains and decentralized applications obtain fast and reliable confirmations about the state of data and transactions. To understand how to work with it, let’s go through everything step by step.

For blockchain developers:

Sending data to Espresso

Developers can send their data (for example, transactions, blocks, messages) to the Espresso network in the form of special transactions.

Each transaction is sent with a namespace this is like a unique chain identifier, similar to a chain ID. This way, Espresso knows which chain each transaction belongs to.

After sending the data, it goes through the HotShot confirmation process (for transaction ordering) and EspressoDA (for data availability).

Receiving confirmations

To get confirmed data, developers can use the Espresso API — an interface through which they can request already confirmed blocks and transactions.

It is also possible to set up notifications (for example, via WebSocket or other services) for when new blocks are finalized.

In the chain’s code, within the State Transition Function (STF), confirmation checks are implemented: it verifies that the transactions are indeed part of the confirmed Espresso block, and that the block is part of the canonical chain.

Example: Arbitrum Nitro integration

In the Arbitrum Nitro project, which implements rollup technology, Espresso is used to obtain proofs of data confirmation.

The rollup receives special proofs (such as Merkle proofs and confirmations from the DA committee) which are verified inside the STF to ensure the data is authentic and not tampered with.

This approach enhances the security and reliability of the rollup.

Conclusion.

The Espresso Network represents a fundamental shift in Web3 architecture. Its approach, based on separating data availability confirmation from execution, along with a multi-layered data availability protection, paves the way for a scalable, secure, and decentralized future. For everyone involved in blockchain application development or simply interested in the evolution of Web3, Espresso is an important technology worth exploring and adopting.

Current Web3 games are extremely primitive it often feels like we’re stuck in a beta version of an idea. Most Web3 games appear half-dead: the gameplay is minimal, the characters are soulless, and player motivation is usually reduced to one thing earn a token and immediately sell it on the nearest DEX or CEX. It’s not about playing, feeling emotions, or excitement just farm a token and extract liquidity.

These games may include NFT characters or items, some levels and missions... but there's no real engagement. You just click through a predictable script, often automated by bots or farmers, which degrades and stagnates the entire gaming experience. There’s no depth, no evolving storyline.

A typical problem with Web3 games is that they often just copy the mechanics of DeFi protocols. Provide liquidity earn rewards, upgrade an NFT character get a payout, and so on in a loop. It’s basic yield farming dressed up as a game. This doesn’t require developers to deeply build out a world, characters, or narrative, so players quickly lose interest in the gameplay and focus solely on making money.

This issue is especially visible in how NPCs behave. The characters you’re supposed to interact with act only according to a smart contract template. There’s no adaptability, no reaction to your actions, no surprises or branching paths based on your in-game choices. It’s not an adventure it’s a protocol. Everything is predictable.

But here’s where a new concept could change everything.What if we brought AI directly into these games? What if NPCs were truly alive? What if storylines could shift and adapt based on a player’s decisions and actions?

This is exactly where Ritual reveals its potential.

Why Are AI Models Important for the Web3 Gaming Industry?

If the Web3 gaming industry aims to evolve and compete with traditional game development it’s unlikely to succeed without AI.

Right now, NPCs in most blockchain games are just primitive scripted templates. They don’t adapt, don’t react to context, and can’t surprise or truly engage the player. As a result, the game world feels lifeless and artificial like a Lego set or puzzle where the pieces can only be connected in a specific order.

Now imagine a blockchain-based game powered by integrated AI models that’s exactly what the Ritual blockchain offers.

AI brings life and unpredictability to games. It’s when a character can talk to you as if they have a real personality and opinions. It’s when the story emerges in real time based on your actions (or inaction), level, and behavior. When your path branches and even you don’t know how it’s going to end. That’s the kind of magic we love in the best RPGs, action games, and even strategy titles.

Ritual’s blockchain is capable of:

• Generating unique quests and dialogues using its built-in AI models

• Changing NPC behavior based on the player's story, actions, or lack thereof

• Creating deeper emotional engagement

• Personalizing each player's experience

Why Ritual?

Ritual is not just a blockchain; it’s a bridge between AI and the decentralized world. Ritual connects blockchain and AI. It creates an independent chain specifically for AI, allowing developers to build decentralized applications that utilize AI, including Web3 games. Its key feature is the ability to run AI inference in conjunction with smart contracts. Moreover, these actions can be verified cryptographic proof shows how and why the model generated a specific result. Thanks to these technologies, Web3 games will gain additional opportunities and advantages:

• Verifiability. Every step of the AI model can be verified on the blockchain. This is especially important in games with economies, PvP, and fair distribution of game resources or inventories.

• Decentralization. AI models don’t require centralized servers; they are embedded directly into the blockchain. A game NPC can "think" independently of Amazon, OpenAI, or Google.

• Integration with Smart Contracts. Now, a smart contract can interact directly with AI within the entire chain.

All of this creates the foundation for a completely new type of Web3 game, where characters are alive, and the world is not predictable, but evolving and engaging. The next generation of Web3 games will offer an unforgettable adventure experience.

Advantages for Developers and the Impact of Ritual on the Gaming Industry.

Developers are always looking for new opportunities to create unique and engaging game mechanics. Ritual opens up a whole range of such possibilities. Now, developers can integrate AI directly into their games on-chain.

Currently, the process of integrating AI into blockchain remains complex and requires centralized servers, powerful computational resources, and additional technologies. Ritual aims to completely change this concept. Developers will be able to implement AI in games within the blockchain without centralized infrastructure.

This significantly reduces the time spent on routine development tasks and lowers the costs of external support infrastructure. As a result, it opens up new scalability opportunities for the entire gaming industry. Blockchain-based games built on Ritual will have a strong positive impact on almost all game genres. For example:

• Strategy Games: Instead of using predictable templates and pre-written scenarios, AI can analyze player actions and adapt the behavior of enemies or allies in real-time.

• RPGs: For example, AI-controlled characters could develop their own storylines that intersect with the player's story. The game could change its scenarios based on the player's gaming style, creating a new level of immersion.

• MMORPGs: NPCs will evolve based on how other players are playing. Storylines and quests can be automatically generated based on the actions of all players, their interactions, and even depending on who is currently in the game or who is absent.

Today, all modern blockchains operate on a standard principle. They simply process transactions and can only store static data, without offering users the ability to interact with it.

The developers of Layer-1 datachain Irys are pushing the boundaries of how data on the blockchain can be used. Thanks to Irys technologies, it's now possible not only to store data on the blockchain but also to process and interact with it in real time.

Data on the blockchain is no longer static — it comes to life in the world of Irys.

Irys and the New Data Economy.

Unlike Web2, where data and computation are often stored and handled by centralized companies, in Web3 we move toward a decentralized model where users and organizations can control their data and interact with it without intermediaries.

Irys overcomes the problem of centralized platforms like Google and Amazon that own and control user data. With Irys, users can truly own and manage their data, which is stored on the blockchain, while ensuring its verifiability and security.

With Irys, it’s possible to create programmable (intelligent) data storage systems where data can not only be stored, but also interacted with through smart contracts in real time.

Irys is pioneering a new transparent data economy, where users can monetize their data and receive rewards for it without relying on third parties.

What Are the Advantages of Irys?

Irys functions as a blockchain that links data with the smart contract logic designed to interact with it. As a result, it offers several distinct advantages.

Centralized data storage solutions come with high storage costs, while Irys operates at a low cost, making it more accessible and competitive.

Irys integrates multiple types of memory — short-term, long-term, and permanent. This allows it to store both current data and historical information, which is especially important for machine learning and building complex financial models that, for example, can adapt to market changes.

Irys ensures that all data stored within its system is verifiable, secure, and immutable — which is crucial in a world where data security and trust are top priorities.

Why Is Irys Relevant Today?

Information and data are the new digital oil. In today’s digital world, data has become a valuable resource, and information is actively used by companies to conduct business and generate profits. Now more than ever, there is a pressing need for reliable, transparent, and efficient infrastructure for storing and processing data.

If we look at today’s solutions like cloud platforms, we can see that they come at a high cost and are controlled by large centralized corporations. Irys is ready to offer a cheaper alternative — something especially critical for startups and small businesses that have yet to turn a profit and are looking to reduce current expenses.

Real-World Applications of Irys in Modern Web3.

AI agents can use Irys to store their current strategies or decisions that they develop in real time.

In finance, Irys can store and process data on changing market conditions, enabling the creation of more adaptive and intelligent financial strategies than those based purely on static algorithms.

With Irys, users can monetize their data. This opens up new possibilities for treating data as an asset, which is ideal for building the next generation of Web3 applications focused on creating a new data-driven economy.

How to Join the Irys Community?

X (Twitter): https://x.com/irys_xyz

Discord: https://discord.com/invite/irys

Ritual is a Layer 1 blockchain designed to perform complex computations directly on-chain. Unlike most traditional blockchains, which are limited to simple transactions and logic, Ritual enables direct interaction with AI models and advanced computing tasks like machine learning (ML) and zero-knowledge (ZK) proofs.

It is fully compatible with the popular Ethereum Virtual Machine (EVM), allowing developers to use familiar tools for writing smart contracts. But the big leap is that AI models can now be embedded natively into the Ritual chain, unlocking an entirely new level of interaction with on-chain logic.

Why Does Ritual Blockchain Matter?

Ritual opens new horizons for blockchain applications by bringing artificial intelligence into the smart contract environment. While most blockchains today are used for storing data and transferring cryptocurrencies, the rise of AI demands more computational power and smarter systems capable of making decisions autonomously.

With Ritual, developers can create smart contracts that interact with AI models directly on-chain. This enables a new generation of decentralized applications across various industries like finance, healthcare, and predictive analytics systems that are not only automated but intelligent.

How Does a Blockchain for AI Work?

Imagine you have an intelligent agent that makes decisions based on data. Normally, it would run on a centralized server, and no one could truly verify its logic or decisions. What if that decision-making process could be made transparent, secure, and verifiable?

This is where Ritual comes in. It allows these AI agents to operate directly on the blockchain every step of the computation is public, secure, and auditable. With Ritual, AI becomes decentralized, trustless, and part of a transparent ecosystem.

Why Is This Crucial Right Now?

We are in the midst of an AI explosion. Large language models (LLMs) like GPT are reshaping how we work and communicate. But access to these technologies is highly centralized dominated by big tech companies, locked behind censored APIs and expensive subscriptions.

The tide is turning with the rise of open-source AI models. Developers can now build on top of these alternatives without permission or gatekeeping. At the same time, a new trend is emerging: DePIN (Decentralized Physical Infrastructure Networks), which brings AI infrastructure onto the blockchain.

Ritual is at the heart of this shift. It bridges the world of AI and crypto, offering a dedicated blockchain built for intelligent, decentralized applications. It arrives at a perfect moment when people and companies are looking for trustworthy, secure, and open alternatives to centralized AI.

Real-World Use Cases for Ritual.

1. Finance & DeFi

   DeFi protocols today are powerful, but static. They follow rigid algorithms and cannot adapt to changing markets. With Ritual, smart contracts can interact with AI agents that analyze data, learn from market trends, and update strategies in real time unlocking a new generation of intelligent financial tools.

2. Gaming & Metaverses

   Most NPCs in games still follow pre-scripted behavior. Games built on Ritual can feature AI-driven characters that evolve, learn, and act unpredictably making virtual worlds feel truly alive.

3. Healthcare

   Imagine smart contracts that can suggest personalized treatments based on genetics, lifestyle, and medical history all while preserving data privacy. With Ritual, sensitive data stays private, and AI-powered decisions can be verified in a confidential and secure way.

Join the Ritual Community

X: https://x.com/ritualnet

Discord: https://discord.com/invite/ritual-net