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WarRin Protocol: A point-to-point anonymous privacy communication system

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Dr.WarRin

www.bitcointalk.org

Summary

This white paper provides an explanation of the WarRin protocol and related blockchain, point-to-point, network value, transport protocol, and encryption algorithms. The limited space will highlight the WRC allocation scheme and purpose of the WarRin Protocol Token, which is important for achieving the WRC’s stated objectives.  This white paper is for informational purposes only and is not a promise of final implementation details. Some details may change during the development and testing phases. 

1.  Introduction

Traditional centralized communication systems such as WeChat,WhatsApp, FacebookMessage,Google  Allo,Skype face a range of problems, including government surveillance, privacy breaches, and inadequate security, and the WarRin protocol proposes apoint-to-pointencrypted communications system that leveragesblockchain technology, combined  with Double Ratc het algorithms, pre-keys, and extended X3DH handshakes. The WarRin Protocol uses The Generalized Directional Acyclic Graph  and Curve25519,AES-256,  and HMAC-SHA256  as the pronamor, allowing each account to have its own unique account chain, providing unlimited instant communication between points and unlimited scalability, anonymity, integrity, consistency, and asynchronousness. 

2. WarRin Protocol communication system

2.1 Two types of communication

The Waring Protocol communication system divides chat channels into two types.

Image

Two modes of communication

  • General Chat mode: Using point-to-point encrypted communication, the service side has access to the key and can log in via multiple devices. 
  • Secret Chat mode: Encrypted communication using point-to-point can only be accessed through two specific devices. 

The design combines some of the advantages of raiBlocks    multi-chain construction with IOTA/Byteball  DAG, which we call the Waring protocol. With improvements, we have given the WarRin protocol greater throughput and faster processing power while ensuring the security of the ledger, and network nodes can store the ledger in less space and search their communications accounts quickly in the ledger.  When two users communicate, third parties contain content that neither manager can access. When a user is chatting in secret, the message contains multimedia that can be designated as a self-destruct message, and when the message is read by the user, the message is automatically destroyed within the specified time. Once the message expires, it disappears on the user’s device. 

2.2 How chat history is encrypted

2.2.1 MTProto  Transport Protocol

Image

MTProto transport protocol

The WarRin communication system draws on RaiBlocks’ multi-chain structure for point-to-point communication. Each account has its own chain that records the sending and receiving behavior of the account. For example, in Figure 1,   there are 7  accounts, each with 7 chain records of the account sending and receiving communications. On the graph, horizontal coordinates represent the timeline, and portrait coordinates represent the index of the account. 

Transferring information from one account to another requires two transactions: one to send a communication from the sender’s transfer content, and one to receive information to add that content to the content of the receiving account. Whether in a send-side account or a receiving account, a PoW proof of work with the previous communication content Hash is required to add new communications to the account.  In the account chain, poWwork proves to be an anti-spam communication tool that can be done in seconds. In a single account chain, the Hash field of the previous block is known to pre-generate the PoW required for subsequent blocks. Therefore, as long as the time between the two communications is greater than the time required to generate the PoW, the user’s transaction will be completed instantaneously. 

In such a design, only the receiving end of the communication is required for settlement. The receiving end places the received communication signature on the account chain, which is called accepted communication. Once accepted, the receiving end then broadcasts the communication to the ledger of the other nodes. However, there may be situations where the receiving end is not online or is subject to a DoS   attack, which prevents the receiving end from putting the receiving side communication on the account chain, which we call uncommoted transactions. The X symbol in Figure 1 represents an open transaction sent from Account 2 to Account 5.  

Image

Obviously, because only the sending and receiving sides of the communication are required to settle, such communication is very lightweight, all traffic can be transmitted in a UDP package and processed very quickly. At the same time, all communications in an account are kept in one chain, with great integrity, and the ledger can be trimmed to a minimum. Some nodes are not interested in spending resources to store the full communication history of the account;   They are only interested in the current communications for each account. When an account communicates, its accumulated information is encoded, and these nodes only need to keep track of the latest blocks so that historical data can be discarded while maintaining correctness. Such communication is only possible if the sending and receiving sides trust each other and are not the final settlement of the entire network consensus. There is a security risk in the absence of trust on the sending and receiving ends, or in situations where the receiving end is attacked by DoS without the sender’s knowledge. 

We have observed that although each account has a separate chain, the entire ledger can be expressed in the form of a WarRin object. As shown in Figure 2, this is represented by the WarRin astros trading on all accounts in Figure 1.  

Image

The first unit in the WarRin object is the Genesis unit, the next six cells represent the allocation of the initial token, and the other units correspond to the communication transactions between the account chains. We use the symbol a/b to represent a communication transaction, where the sender is a andthe recipient is b. The last  4/1 unit in Figure 2 is the last communication corresponding to Figure 1  – sending communication from account 4 to account 1. A transaction in Figure 1 is a confirmation of the latest block or the latest communication on the account chains of both parties to the communication, reflected in Figure 2 as a reference to the latest units of the account chains of both parties to the communication. Take unit 4/1, for example, where the latest  block on account 4 was the receiving block for 2/4  trades and the newest block on  account 1 was the send block for 1/5 trade. So on the DAG, the 4/1 cell refers to the 2/4 cell and the 1/5 cell. 

The WarRin protocol uses triangular shrapned storage technology to crack impossible triangles in the blockchain through the shrapghine technology, with extensive node engagement and decontalination  while maintaining high throughput and security:

  • Complete shraping of blockchain status;
  • Secure and low-cost cross-synth trading;
  • Completely random witness selection;
  • Flexible and efficient configuration

Complete decentralization ensures absolute security and scalability of the standard chain.

(Figures   above show seven Ling-shaped objects:2/1 one;3/2  one… )

2.2.2 Curve25519 Elliptic Curve Encryption Algorithm

Curve25519,  proposed by Daniel Bernstein, is anelliptic  curve algorithm for the exchange of The Montgomery Curve’s Difi Herman keys. 

Montgomery Curve Curve Mathematical Expression: 图片图片

Curve25519 Curve Mathematical Expression:图片

Curve25519  encryption     algorithms are    图片 used for standard private and public keys, and the private keys used for Curve25519  图片 encryption algorithms are typically defined as secret 图片 indices, corresponding to 图片public  keys, coordinate points, which are usually sufficient to perform ECDH (elliptical) and symmetrical  elliptic curve encryption algorithms. If one party wants to send information to the other party and the other party has the 图片 public 图片and private keys, perform the following 图片calculation:

Generate a one-time random secret 图片图片   图片 index, calculated using Montgomery, because the message is a symmetrical password encrypted using 256-bit  sharing, such as AES  using a 256-bit integer 图片 one-time public key,  as akey, and 256-bit integer is a 图片prefix to encrypted information. Once a party to   图片图片图片the public 图片key receives this message, it can start by calculating , that is ,图片the receiver recovers the shared secret and 图片is able to decrypt the rest of the information. 

3. Incentives

On the basis of the WarRin agreement, by adding the incentive layer, we can effectively avoid the whole network being attacked and eliminate spam. As long as honest nodes control most of the calculations, for an attacker, the network is robust because of its simplicity of structure, and nodes need little coordination to work at the same time. They do not need to be authenticated because information is not sent to a location. 

3.1 WRC Certificate

WRC issued a total of 2,500,000 pieces and continued to increment according to the WoRin gain function. 

3.1.1 WoRin Gain Function

Image
Image

3.1.2 WoRin gain function control table

The WoRin gain function is compared to the table
Number of layers /F Growth factor /I WRC circulation
[1,50] 0.002 334918.8057
[51,100] 0.002 780024.2108
[101,150] 0.004 1177129.617
[151,200] 0.006 1487860.923
[201,250] 0.01 1722637
[251,300] 0.016 1894309.216
[301,400] 0.03 2101623.789
[401,500] 0.06 2217555.464
[501,1000] 0.1 2450712.257
[1001,2000] 0.12 2557457.3

According 图片to the Gain function, the 图片larger the number of layers, 图片the greater the growth rate, the faster each layer is filled, and the 图片greater the circulation. 

3.2 Allocation

Image

WarRin protocol node distribution

3.2.1 Node allocation

Set the initial price  图片  图片图片to 0.02,the layer where the first node is located is , according to the equation of the iso-difference column, there is , so that the 图片node token is assigned to the piece, for the price of 图片 the layer where the node 图片is located, there is a 图片图片set. 

For example, the number of tiers in which the  98th  node is located is Tier 13,  and the price of Tier 13 is 0.214,the tokens assigned by Tier 98 are 图片

3.2.2 Total number of address assignments

Each node occupies one address, and the total number of 图片addresses is

4. The use

WRC is the native pass-through of the WarRin protocol, andWRC will assign to Genesis nodes according to the above allocation scheme, which together form the entire network, andWRC can be used in the following scenarios, including but not limited to:

Pay the network’s gas charges, i.e. for transferring money and invoking smart contracts;

System Staking tokens, used for node elections and token issues;

The capital is lent to the validator in exchange for the amount of the reward;

Voting rights for system proposals;

The means of payment for apps developed  on WoRin Services;

WoRin Storage is a means of payment on the decentralization storage;

WoRin DNS domain name and WoRin  WWW website means of payment;

WoRin Proxy agents hide the means of payment for body and IP addresses;

WoRin Proxy penetrates payment methods reviewed by local ISPs

……

5. Conclusions

Metcalfe’s Law states that thevalue of a network is equal to the square of the number of nodes within the network, and that the value of the network is directly related to the square of the number of connected users. That is 图片( the 图片value factor, the number of 图片users.)  That is, the greater the number of users on a network, the greater the value of the entire network and each computer within that network. The WarRin protocol also follows this law, and when the number of nodes reaches a certain level, the entire network becomes more robust. 

References

[1] K. Birman, Reliable Distributed Systems: Technologies, Web Services and

Applications, Springer, 2005.

[2] V. Buterin, Ethereum: A next-generation smart contract and de- centralized

application platform, https://github.com/ethereum/wiki/wiki/White-Paper,  2013.

[3] M. Ben-Or, B. Kelmer, T. Rabin, Asynchronous secure  computa-  tions  with

optimal resilience, in Proceedings of the thirteenth annual ACM symposium on

Principles of distributed computing, p. 183–192. ACM, 1994.

[4] M. Castro, B. Liskov, et al., Practical byzantine fault tolerance, Proceedings of the

Third Symposium on Operating Systems Design and Implementation (1999), p. 173–

186, available at http://pmg.csail.mit.edu/papers/osdi99.pdf.

[5] EOS. IO, EOS. IO technical white paper,

https://github.com/EOSIO/Documentation/blob/master/TechnicalWhitePaper.md,

2017.

[6] D. Goldschlag, M. Reed, P. Syverson, Onion Routing for  Anony-  mous  and

Private Internet Connections, Communications of the ACM, 42, num. 2 (1999),

http://www.onion-router.net/Publications/CACM-1999.pdf.

[7] L. Lamport, R. Shostak, M. Pease, The byzantine  generals  problem, ACM

Transactions on Programming Languages and Systems, 4/3 (1982), p. 382–401.

[8] S. Larimer, The history of BitShares,

https://docs.bitshares.org/bitshares/history.html, 2013.

[9] M. Luby, A. Shokrollahi, et al.,  RaptorQ  forward error correction scheme for

object delivery, IETF RFC 6330, https://tools.ietf.org/html/rfc6330,  2011.

[10] P. Maymounkov, D. Mazières,  Kademlia: A peer-to-peer  infor-  mation  system

based on the XOR metric, in IPTPS ’01 revised pa- pers from the First International

Workshop on Peer-to-Peer Systems, p. 53–65, available at

http://pdos.csail.mit.edu/~petar/papers/ maymounkov-kademlia-lncs.pdf, 2002.

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Sui Processes Over 6 Million Transactions Per Second as AI Agents Drive Public Throughput Experiment

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Grand Cayman, Cayman Islands, July 6th, 2026, FinanceWire

Autonomous AI agents battling across games, payments, and chat pushed Sui’s programmable tunnels to a peak of 6,086,766 TPS

Sui, where money moves as freely as messages, processed the highest number of transactions per second ever performed on its network on Saturday, July 4, 2026. The milestone was hit live during a public experiment open to anyone and witnessed by thousands during a livestream.

Made possible through “programmable tunnels,” which are offchain payment and state channels that settle to Sui mainnet when closed, the experiment invited users to log into an explorer built specifically for the event, using nothing more than an email address. Once connected, participants watched AI agents battle head-to-head across games, payments, and chat, all contributing transaction volume in real time toward a single goal: pushing Sui mainnet past 1 million transactions per second (TPS).

The network exceeded that target several times over. At approximately 12:30 PM ET, Sui mainnet reached a peak of 6,086,766 TPS: more than six times the experiment’s 1 million TPS goal, and roughly 20 times higher than Sui’s previous maximum-TPS benchmark of 297,000 TPS, set in a controlled testing environment.

Diving Into the Details

The demo was led by Chief Cryptographer Kostas Chalkias, co-founder of Mysten Labs and a contributor to Sui, alongside Daniel Lam, a lead engineer on Mysten’s dedicated Sui hacker team. Participants signed in with zkLogin, the Sui primitive that makes it possible for users to log in with an existing account, such as Google, instead of a traditional crypto wallet, and received a test token, MTPS, to use in the experiment. As gas was sponsored throughout, users needed no prior SUI holdings to take part.

From there, users and AI agents opened programmable, Lightning Network-style offchain channels, or “tunnels,” with one another to play games such as blackjack and “Quantum Poker,” draw together on a shared canvas, chat, and transact, all gaslessly and offchain, with activity settling back to Sui mainnet when each channel closed. Every closed channel was mutually cosigned and independently verifiable onchain, allowing the experiment to combine high throughput with cryptographic proof that no transaction was tampered with.

“We proved that programmable tunnels aren’t just about payments,” said Kostas Chalkias, Chief Cryptographer and Co-Founder at Mysten Labs. “This is agent-to-agent commerce, competitive gaming, and prediction markets running gaslessly at massive scale. A company’s trading agent could play chess or poker against another company’s agent millions of times without touching the base chain. Consider real-world utility: you could lock funds offchain so someone without internet access, in an earthquake or a blackout, can still pay for groceries the moment they’re near a signal again. Right now there are only four or five proven product-market fits in crypto: stablecoins, DeFi, payments, prediction markets. I think programmable tunnels just opened the door to a fifth.”

What’s Next

Mysten Labs and the Sui hacker team plan to build on the experiment with additional capabilities, including confidential transfers via Nautilus, tunnels supporting more than two participants, and agent-to-agent prediction markets. 

About Sui

Sui, where money moves as freely as messages, is a next-generation Layer 1 blockchain built for scalable finance and global payments. Founded by the core team behind Meta’s stablecoin initiative and powered by an object-centric model, Sui makes assets, permissions, and user data programmable and ownable. Sui’s primitives offer builders everything they need to create high-performance payments and financial applications, including instant agentic payments. Users can learn more at sui.io.

Contact

Sui Foundation
media@sui.io

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Harmony Labs makes a strategic investment in Harmony Link; a dual-token system opens up a new avenue for monetizing Web2 short-video traffic

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Harmony Labs, a leading global blockchain investment and research institution, has officially announced a full strategic investment in Harmony Link, a Web3 short-video aggregation platform. Leveraging Harmony’s underlying sharding technology and resources from 412 ecosystem projects, the two parties will jointly build an inclusive Web3 gateway serving a billion-scale short-video user base. They aim to create a long-term dual-token economic model—featuring HK as the core value carrier and HAK as the medium of circulation within the ecosystem—with plans for HK to debut on the Binance Alpha board, thereby establishing a closed-loop system for sustainable value growth.

Founded in 2018 and headquartered in Singapore’s financial hub, Harmony Labs focuses on specialized investments and in-depth industry research regarding blockchain infrastructure and ecosystem applications. Its core underlying asset, Harmony (ONE), utilizes random state sharding technology to achieve low-gas, high-throughput cross-chain interactions. The firm has incubated 412 ecosystem projects across DeFi, NFT, and GameFi sectors, amassed a network of 300,000 global developers, maintained long-term deep partnerships with top-tier investors like Binance Labs, and established robust systems for global compliance and capital operations.

The industry currently faces clear pain points: Web3 users account for less than 6% of the global population, and customer acquisition costs in the blockchain sector reach as high as $42 per person. Furthermore, traditional text-based educational content presents high barriers to entry, third-party operational tools are prone to bans, and the space is rife with pyramid schemes. Meanwhile, the attention of the billion-strong Web2 short-video user base is consumed without compensation, and there is a lack of practical tools for distributing the value generated by traffic. As a key inclusive project for Harmony Labs through 2026, Harmony Link centers on “TikTok-style” short-video behavior mining. It integrates five key tools—on-chain price chart visualization, decentralized live streaming, AI digital avatar promotion, project advertising, and community management—to comprehensively address eight major bottlenecks hindering industry development.

This strategic investment will fully unleash Harmony Labs’ multi-dimensional resources to empower the platform: leveraging Harmony’s sharding technology to reduce development costs by 87% and utilizing the 300,000-developer network to rapidly iterate on smart contract audits and anti-fraud firewall modules. Additionally, the partnership will facilitate the onboarding of the existing 412 ecosystem projects and capitalize on the market’s established perception of Harmony as an “ultra-low gas public chain” to significantly lower user education costs. The funds will be primarily allocated to four key areas: product iteration, global community expansion, the establishment of an HK price-support reserve pool, and preparations for the HK listing on Binance Alpha.

The Head of Investment at Harmony Labs stated: “The primary bottleneck for the large-scale adoption of Web3 is the high barrier to entry for users; short-form video serves as the optimal vehicle to connect the general public with blockchain technology. Harmony Link’s innovative dual-token model offers immense long-term value: HAK dynamically adjusts user activation ratios in phases to smooth out market selling pressure, while core cash flows from AI leasing and advertising continuously inject USDT into the HK price-support pool. With essential, paid use cases across the platform and a future listing on Binance Alpha, a virtuous cycle of traffic, revenue, and token value will emerge, truly enabling the distribution of ‘attention value’ to the general public.”

The Harmony Link Project Lead added: “Leveraging Harmony Labs’ backing in capital, technology, and ecosystem, the platform will adjust the HAK/USDT ratio for account activation across five stages. Upon reaching the 50% HAK / 50% USDT phase, ‘Computing Power NFTs’ will be launched to generate the core token, HK. With a total supply of 100 million HK, 60% is generated via Computing Power NFTs, and 20% is allocated to a dedicated price-support fund. All B2B paid services across the platform will eventually settle in HK, and the project will leverage Binance Alpha’s global traffic to amplify long-term value.”

Both parties simultaneously announced a comprehensive roadmap: in the short term, they will launch short-video mining and basic live-streaming functions while steadily transitioning to a hybrid activation model; in the medium term, they will enable HK generation via Computing Power NFTs and continuously bolster HK liquidity reserves; in the long term, they will drive HK’s listing on Binance Alpha, implement a full-chain HK payment ecosystem, incubate high-quality Web3 projects, and establish a DAO-based decentralized governance system.

Moving forward, Harmony Labs will continue to provide global compliance research, capital connections, and brand/channel resources. This support aims to help Harmony Link break down the barriers between Web2 and Web3, create a benchmark Web3 traffic platform accessible to everyone, and drive the mass adoption and inclusive growth of blockchain technology.

About Harmony Labs
Founded in Singapore in 2018, Harmony Labs is a global blockchain investment and research institution specializing in blockchain-focused investments and in-depth industry research. Building a complete ecosystem upon the underlying public blockchain Harmony (ONE), the firm focuses on the practical application of cutting-edge technologies such as sharding, cross-chain interoperability, and Zero-Knowledge (ZK) proofs. With a global footprint spanning North America, Europe, and Southeast Asia, Harmony Labs is dedicated to bridging traditional capital with the Web3 industry and fostering inclusive blockchain development.

About Harmony Link
Harmony Link is a Web3 short-video aggregation platform incubated by Harmony Labs. It features an innovative “Proof-of-Action” mining mechanism and a dual-token economy, integrating data visualization, decentralized live streaming, AI digital avatars, project advertising, and community management. With HK serving as its long-term core value token, the platform plans to launch on the Binance Alpha sector, aiming to reshape the Web3 traffic monetization ecosystem.

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AI STUDIOS Launches AI Roleplay for Insurance Agent Training

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  • The new AI-powered training tool lets insurance agents and sales reps rehearse real customer conversations — policy renewals, cancellation requests, claims follow-ups — with instant, automated coaching feedback after every session.

PALO ALTO, Calif, July 6th 2026, AI STUDIOS, operated by DeepBrain AI, launched AI Roleplay, a new conversation-training solution designed to help insurance agents and sales representatives rehearse difficult customer conversations before they happen in the field. The tool gives agents unlimited practice sessions with an AI customer that responds in real time, followed by automated, personalized coaching feedback.

AI Roleplay simulates the conversations sales representatives say are hardest to get right: auto insurance renewal calls, customers threatening to cancel a policy, claims follow-up calls, and routine check-ins tied to a policyholder’s birth month. Rather than reciting scripted responses, the AI customer reacts dynamically to whatever the representative actually says — raising objections, asking for more detail, or pushing back, much as a real customer would.

Sales coaching has traditionally relied on in-person practice with a trainer or manager, a model that limits how often sales representatives can rehearse and how quickly they get feedback. AI Roleplay removes both constraints. Representatives can run a practice session at any time, without scheduling a coach, and receive a speaking score along with specific strengths, areas for improvement, and suggested phrasing immediately after each session ends.

Practice scenarios are organized by situation, customer type, and difficulty level, from beginner to advanced. Sales representatives converse with the AI customer via text or voice, and voice sessions include a speech-analysis score that flags pacing, clarity, and tone — a level of feedback unavailable through prerecorded training videos or static e-learning modules.

AI Roleplay also includes a manager dashboard that tracks completion rates, scores, and activity for each team member in real time. Sales managers can use the dashboard to identify representatives who need additional coaching without listening to call recordings individually or scheduling separate feedback sessions, according to DeepBrain AI.

DeepBrain AI said the tool is intended to shorten the ramp-up period for new sales representatives and reduce customer complaints tied to inaccurate explanations or weak call handling — a persistent risk in insurance sales, where regulatory and compliance expectations are high. Beyond insurance, the company said AI Roleplay applies to any role where conversation quality directly affects business outcomes, including corporate sales representatives, financial advisors, call center staff, and healthcare front-line workers.

“In insurance sales, a single sentence can determine whether a deal closes or a customer loses trust,” said Eric Jang, CEO of DeepBrain AI. “AI Roleplay goes beyond watching a video or sitting through a course — sales representatives train by actually talking with an AI customer, which is what sets it apart from traditional online training.”

AI Roleplay is currently deployed with multiple insurance carriers in South Korea, and DeepBrain AI said it plans to expand the tool to additional industries and practice scenarios going forward.


About DeepBrain AI

DeepBrain AI is a global leader in AI Avatar, AI Agent, and AI Human technology. Its flagship B2B SaaS platform, AI STUDIOS, helps enterprises create hyper-realistic AI avatars, real-time avatar agents, and localized video content at scale. Based in Palo Alto, Calif., DeepBrain AI serves enterprise customers worldwide.

Media Contact:
DeepBrain AI Communications 
global@deepbrain.io
www.aistudios.com

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