Press Release
The Innovation of LikeLib 2.0 Redefines Public Chain Technology
LikeLib is a community-based open source blockchain project that uses blockchain technology and digital identities to digitize and informatize assets; use smart contracts to automatically manage assets and information to achieve a diversified network of “smart economy”.
The ecosystem joins the major communities around the world to participate, and is committed to linking all with an open mind, thus building a decentralized network that can expand and achieve multi-party collaboration and win-win in real business society.
LikeLib public chain team leader Mr. Thierry, operations director DIma, and technical general counsel Ms. Olga. All of them have very strong technology and business background.
LikeLib’s core members include Technical Director Mr. Renia, Mr. Yevgeny, Technical Director Daniel, Software Engineer Oleg, Sergey, Dennis, Business Analyst Mr. Andre, Ms. Tania and the community technology development team Ms. Julia Palamarchu, Maksim Hryhoryeu, Daniel Harapko, Anre Ku, Alexey Nekrasov, Alex, etc. have many years of experience in relevant positions in Dublin internationally, as well as abundant professional knowledge and skills.
Some ecological applications of LikeLib blockchain include:
1. The best solution (Biteacon)
Biteacon is a browser that interacts with the LikeLib ecosystem, which can help users explore other network-related information such as its blockchain and transaction volume.
2. The best smart contract (Supplike)
Supplike is a platform with built-in embedded supply chain builder based on LikeLib blockchain. With the built-in builder, you can easily design and deploy the supply chain, assign roles and use it easily, and create code-free solutions for the supply chain through mobile apps.
3. The best solution (LikeLib Analytics)
LikeLib Analytics is the LikeLib blockchain browser and analysis platform, indexing all blockchain data through the big data pipeline and disclosing data and indicators through API and WEB applications.
On this basis, the “blockchain + edge computing” IoT management system, the research of the electronic degree certificate management method of the alliance chain, relay cross-chain technology, channel state differential information vital signs detection algorithms, research on people counting methods based on WiFi perception, Internet of Things architecture for electrical fire monitoring of ancient buildings based on edge computing, and multi-field and interdisciplinary expert selection algorithms for multiple project ecology and algorithm system applications have been successfully developed in the LikeLib public chain main network.
LikeLib 2.0 provides a more secure and stable blockchain service, which covers data connections, hybrid storage, cross-chain technology and other core modules with independent intellectual property rights, which can quickly build solutions for typical application scenarios.
The newly-released 2.0 system will not only reduce transaction program fees, but will also cause block chain replication forks and increase transfer transactions. The average transaction value can be allocated between operational interruptions. Compared with the previous version 1.0, the transaction volume has steadily increased to 10,000 transactions per second, and the transaction speed is about 10,000 TPS.
In terms of supporting smart contracts, interchangeable consensus mechanisms and distributed storage networks, the blockchain consensus mechanism can be replaced according to different factors (such as transaction volume), and a distributed storage network based on IPFS can store a large amount of data outside the chain.

LikeLib2.0 fully uses database fragmentation technology. Only a small part of the input transactions need to be processed, and a large amount of verification work can be completed through other conventional parallel processing on the network.
LikeLib uses Bridges technology, which is a blockchain interoperability technology specifically used to make the LikeLib ecosystem cross-chain compatible with external blockchains (such as Ethereum).
LikeLib cross-chain bridge technology allows cross-chain assets and information exchange between the main network and each project ecosystem, like the axis connecting various islands. The LikeLib blockchain network realizes cross-chain through bridges, which greatly promotes the large-scale assets of ecological projects such as Bitcoin and Ethereum, and the real market liquidity of information. The advantages include multi-signature technology/ring signature technology/hash locking technology.
In addition, LikeLib2.0 also uses Lightning Network transactions and zero-configuration transaction channels.
The existing hosting solutions on the Lightning Network only manage their users’ funds on one or a few, and they will not use one channel with each user. Instead, keep an internal private ledger to record when the funds belong to the user.
Earlier we mentioned the ring signature technology in the LikeLib2.0 cross-chain bridge. The ring signature is named because a certain parameter implicit in its signature is composed according to certain rules. Many of the schemes proposed later do not require the structure of the signature to be a ring, as long as the formation of the signature satisfies the spontaneity, anonymity and group characteristics, it is also called a ring signature.
The security of the ring signature technology scheme is quite high, such as: unconditional anonymity, unforgeability, unconditional anonymity of the signer, and the signer can freely specify his own anonymity range, forming a beautiful ring logic structure, which can realize group signatures The main function of but does not require trusted third parties or group administrators.

Ring signature is a special group signature. There is no trusted center and no group establishment process. For the verifier, the signer is completely anonymous.
Theoretically, zero-knowledge proof can prove something to everyone else without exposing any proprietary, and the generated proof is small in size, the verification cost is very low, and it has nothing to do with the amount of calculation that needs to be proved.
LikeLib2.0 uses the generation algorithm (G) to generate public parameters for the proposition, the proof algorithm (P) to generate the proof of the satisfiability of R1CS, and the verification algorithm (V) to verify the proof and other technical methods and means to finally generate the proof. It can be proved that there is a secret value reset equation satisfied without revealing the secret.
LikeLib2.0’s “decentralized and distributed” technology means that all information is publicly recorded on the “public ledger”, and can only be entered and cannot be modified, so that the complete copy of the blockchain includes each executed action, so About the value belonging to each active address (account).
The overall situation has continued to iterate for thirty years, and only then has today’s prosperity been achieved, and only then has “Internet +”. If you still have confidence in the blockchain, perhaps you should give it more time. The LikeLib2.0 public chain system has already given the blockchain a gratifying answer in 2020.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Sui Processes Over 6 Million Transactions Per Second as AI Agents Drive Public Throughput Experiment
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
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Harmony Labs makes a strategic investment in Harmony Link; a dual-token system opens up a new avenue for monetizing Web2 short-video traffic
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.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
AI STUDIOS Launches AI Roleplay for Insurance Agent Training
- 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
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
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