Press Release
ACI quantitative robot-The power of reading the trends
In 1962, Everett-Rogers proposed the theory of innovative diffusion, designed to explain how, why, and how quickly new ideas and technologies were spread. The theory explains how a product or technology gains momentum and spreads across a specific population over time. The end result is that people apply a product, technology, or idea. One of the key implications is that the application of a new technology in the population does not occur simultaneously. Instead, certain people and groups are more likely to apply technology at different times, consistent with specific psychological and social characteristics. There are five established applicationcategories for new ideas or products. These categories are defined below.
A The Innovator. “Innovators are adventurous and willing to take the risks. They fundamentally wanted to be the first person to try something new. Their goal is to explore new technologies or innovation and to find opportunities to be drivers of change. 」
B Early App. “Once the benefits of a new innovation start to become obvious, early apps are eager to try. Early apps bought new technology to achieve revolutionary breakthroughs that gave them a huge competitive advantage in their industry. They like to gain more advantages than their peers, and they seem to have the time and money to invest. 」
C Early majority. “The early majority of the mainstream usually focused on innovation in solving specific problems. They look for complete products that are fully tested, adhere to industry standards, and are used by others they know in the industry. They are looking for gradual, proven ways to do what they are already doing. 」
D Later majority. “The late most are risk aversion, applying only new innovations to avoid the embarrassment of being left behind. 」
E The Times. “The outdated people stick to the end. They valued traditional methods of doing things and refused to apply new technologies until they were eliminated by previous systems and forced to do it. 」
Bitcoin has captured the human imagination. Bitcoin’s story is perhaps more tempting than any previous high-tech innovation. It brings the most cutting-edge innovation to one of the foundations of mankind: currency. Given the possibility of revolutionizing such a fundamental concept, Bitcoin underwent several speculative cycles in its brief history. However, it would be a serious mistake to use these cycles as grounds for denying Bitcoin. These cycles are a well-understood psychological phenomenon caused by man’s fascination with new things. Moreover, any excessive emphasis on foam is to see the trees without the forest. Because, in just 12 years, Bitcoin has grown to 135 million users worldwide, with a faster application rate than the Internet, mobile phone, or virtual banking tools, namely PayPal, in the comparable period. At the current application rate, Bitcoin will reach 1 billion users in four years. Bitcoin, like all previous innovative technologies, is following a predictable and transparent application curve, although accelerating.
Such an incremental user base, the dividend period retained to us ordinary people about how long still?
Which track should we choose during the dividend period, and what can we can and do on this track?
These will be left for everyone to sink down to think;
For me personally, why I choose quantitative trading this derivative as a long-term development track, why I choose ACI quantitative robot, below I explain this question from two aspects.
First, the above mentioned Bitcoin development rate and user growth base, then for this market must be more and more user growth base, because this is the market of mankind, is Bitcoin’s original design concept —— decentralization, in the future, more and more people will enter the huge market derived from the digital currency such as bitcoin, Ethereum; the longer time period, one year, two years or five years, this cycle youcan grasp the number of your wealth appreciation (the biggest wealth);
Second, the first thing new users enter the market must face the secondary market, retained in the secondary market will learn currency speculation and trading, so what is the biggest difference between quantitative and labor? To enter the secondary market to do trading, the first is to learn mathematics, physics and chemistry, the second is anti-humanity, to face and accept the market of every market fluctuations, the third is to establish a set of their own trading system and resolutely implement. These three points seem simple, but need the hard conditions: 1, talent; 2, systematic learning and combat; 3,5 or even over 10 years of full-time experience; otherwise why there has been a saying: one profit, two draws, two losses and seven losses. Ask, if every user can make money in the digital money market, where does the money come from? And quantitative trading it is more suitable for ordinary players, it also has a scientific name called algorithm trading, it will replace artificial strategy, with mathematical models and scientific strategy, to achieve a certain conditions, but its profit is a stable long-term absolute value, rather than the short term of wealth; because each of us enter the digital currency secondary market, the original intention is to improve life, achieve wealth growth, increase the happiness index;
Third, why do you choose the ACI quantitative robot as a tool to fry the currency?
1. Select any product to make a comparison, especially the financial industry; here put forward a core: withdrawal rate is linked to risk, and the secondary market price of digital currency fluctuates greatly, a careless will be a large withdrawal, so we choose the product is not its return rate, but two products, product recovery rate is 100%, and 50%, product 20 year rate is 70%, and the withdrawal rate is 10%, the choice is only product 2;
2. Fund utilization rate, not just play finance, as long as you do business you will understand that the nature of business is not related to fund utilization, the greater your capital utilization proves that the more you can do, the more pipeline to profit; (those who play Martin strategy)
3. The concept reflected by the ACI quantitative robot is also consistent with the personal development ideal, It is free and continuously updated and optimized for life, Of course there is no free lunch, After all, everything takes costs, It charges a small transaction fee, To mark 99.99% of the various products on the current market, All exceptions are the lowest 20% profit withdrawals, Take an example here, If 10,000 u profit 1,000 u, Excluding withdrawal servants and exchange fees, Only over 700 u, came up with While the same ACI quantized robot profits 1,000 u, with 10,000 u Remove fees, Final hand 935-940u;
4. API technology interface of trading platform, do quantitative is a core is security and stability, as the three head compliance trading platform —— currency network, I think I don’t need me to introduce, whether from the user base, trading depth or technical security, is the best choice, after all, security and stability is not what we want;
Simply summary, quantification is actually statistics
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.
- 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.
Sui Processes Over 6 Million Transactions Per Second as AI Agents Drive Public Throughput Experiment
Harmony Labs makes a strategic investment in Harmony Link; a dual-token system opens up a new avenue for monetizing Web2 short-video traffic
AI STUDIOS Launches AI Roleplay for Insurance Agent Training
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