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 “The outdated people stick to the end.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
The DATA Foundation Launches to Tackle AI’s Multi-Billion Dollar Training Data Bottleneck
Palo Alto, United States, June 25th, 2026, Chainwire
Story rebrands as The DATA Foundation, launches DATA Network with flagship Kled AI integration, registering 1.5 billion user-contributed records on the platform
The Foundation also introduces Trace, the first public audit layer for consent, licensing, and data provenance at scale
Today, Story announces a strategic transition to become The DATA Foundation (“DATA”) and launches Trace, an onchain registry for AI training data provenance and licensing. The launch includes a flagship integration with Kled, the world’s largest opt-in human data marketplace, registering 1.5 billion user-contributed records on the Network. Andrea Muttoni becomes CEO of The DATA Foundation, and Kled’s founder, Avi Patel, joins in an advisor position as the Chief Data Officer.
AI’s Training Data Has Hit a Bottleneck
The shift to DATA reflects where the market is pulling hardest. AI training data has emerged as the most valuable and least solved category of IP. Frontier AI labs have hit a multi-billion-dollar data bottleneck, where the internet has been effectively exhausted for scraping. The remaining supply is either expensive and bespoke or legally undocumented, leaving labs without a way to source data at scale, prove its provenance, or guarantee its quality.
The legal stakes are rising, as frontier labs stake out market-defining products on data sourced through opaque networks, often without clear records of consent or jurisdiction. Scraped and undocumented data is no longer an option for enterprise-grade AI.
“The challenge in AI has shifted from compute and architecture to sourcing and provenance. As the scrapable web fractures, the question for labs now is who is keeping the receipts,” said Andrea Muttoni, CEO of The DATA Foundation. “With Kled, we combine full data transparency and auditability with the largest pool of AI training data on the planet.”
Building the Infrastructure for Trusted AI Data
DATA builds on the original mission to deliver a data and intellectual property (IP) layer for the internet, recognizing that the form of data and IP that is most critical in this era is AI training data. DATA Network brings essential infrastructure for training AI, anchored by a flagship integration with Kled. Starting today, Kled’s licensing rails and contributor receipts run on DATA Network with added support for stable coin payouts, which involves registering a staggering 1.5 billion user-contributed records with programmatic legal safeguards.
“Frontier labs have exhausted the supply of high-quality, human-generated public text available on the open web. Suppliers showing data-sourcing provenance will win the next decade of deals, and that’s our bet,” said Avi Patel, CEO and founder of Kled and part-time advisory CDO of The DATA Foundation. “Instead of sourcing data blindly, Kled’s data marketplace and DATA’s auditable chain of custody converge on what labs actually need to license data with confidence and transparency.”
Trace Launches as the Public Audit Layer for AI Training Data
Trace, The DATA Foundation’s public audit and search platform, also launches today alongside the Kled integration. Trace generates immutable, confidential receipts for every contribution, allowing labs to verify the legitimacy of datasets in seconds. For every single record uploaded by users worldwide, a receipt on DATA will be generated, enabling upstream compensation for contributors’ data and intellectual property. This addresses an urgent need for a verifiable and compliant AI training data market, which has become a legal and operational minefield.
A Wider Contributor Network
DATA’s thesis was validated by Poseidon, the AI data processing project incubated by Story, which cleans, normalizes, and scores raw human data for authenticity and quality, ensuring every record that reaches a buyer is model-ready. Poseidon’s early traction with frontier labs proved the AI training data opportunity. Backed by a16z and now running entirely on DATA, its contributor app Numo is live today, bringing thousands of contributors into the AI economy in exchange for real-time payouts.
“We started Story to build an IP layer for the internet, and the most important IP of this era is the data you can’t scrape: how a surgeon’s hands move, how a robot grips, how people speak, drive, and work in the real world,” said SY Lee, CEO of PIP Labs and strategic adviser to The DATA Foundation. “DATA is where that conviction goes next: an end-to-end network that proves real-world data’s origin, licenses it, and pays the people who made it. “
Token Migration and Ecosystem Continuity
The $IP token migrates to $DATA one-to-one with no action required from existing holders. Migration guidance, exchange timing, and an FAQ are available here.
About The DATA Foundation
Data is the biggest bottleneck in frontier AI. The data models need most either sits siloed with people and companies, or doesn’t exist yet, and won’t, until incentives are aligned to create it. DATA Network is the world’s AI audit rails built to answer the three questions every lab asks: can you source data at scale, prove where it came from, and guarantee its quality? Contributor apps including Numo and Kled supply opt-in human data; Trace gives every record a public, tamper-proof receipt; Poseidon turns it into model-ready datasets, so frontier AI can keep advancing on a foundation it can trust. $IP is now $DATA. More information available at datafdn.org.
Contact
HV
henri.vies@piplabs.xyz
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
Solstice and Tensorx to Buy $1 Billion in AI Infrastructure to Support EU Sovereign AI Demand
London, United Arab Emirates, June 25th, 2026, Chainwire
Solstice to launch aiUSX, a yield-bearing asset that lets companies help finance the buildout with the capital they already hold for AI.
TensorX and Solstice today announced a partnership to finance European sovereign AI infrastructure. TensorX and Solstice will work together to create a facility with up to $1 billion in capacity to finance AI hardware and data-center build-out to meet rising demand for sovereign compute across the EU. Solstice will provide the onchain financing for that buildout and will launch aiUSX, a potential yield asset that opens the same infrastructure lending to companies holding capital for AI.
TensorX owns and operates a fleet of NVIDIA GPUs and delivers AI models in EU data centres with zero data retention, predictable pricing with best-in-class performance. The company works with AI startups and enterprises across the EU block with plans to expand into other global jurisdictions.
“Europe wants AI that can run on its own terms, on its own soil, without handing its data to someone else’s cloud on the world stage,” said Tim Grant, Executive Chairman of TensorX. “Meeting that accelerating demand takes hardware, and a lot of it. The billion dollars going into GPUs and data center capacity is the first step, and we expect to keep buying as demand grows. Solstice gives us a financing partner that can keep pace with this incredibly fast moving market.”
aiUSX: Financing the AI Buildout With Capital Companies Already Hold
Companies hold growing piles of cash and stable assets for their AI spend while inference bills climb. These two pools sit apart, and the cash earns nothing while it waits. aiUSX closes that gap. The capital a company sets aside for AI goes into aiUSX, which opens access to the AI-infrastructure lending Solstice finances, the same deals large institutions fund. The company takes the position of an infrastructure lender without becoming one or underwriting anything itself; for example, USD.ai has brought capital to AI hardware across the wider buildout. At launch, aiUSX will be capped at $5 million, with yield generated by the lending it gives access to. The capital stays liquid and redeemable, and what it earns goes toward the cost of inference later.
“Every company is turning into an AI company, and every one of them watches its inference bill climb,” said Ben Nadareski, CEO of Solstice. “aiUSX puts the money they set aside for AI to work in the meantime. They get access to the kind of AI-infrastructure lending that used to sit with large institutions, the capital stays liquid, and what it earns goes toward inference later. It is treasury management for the AI era.”
“Sovereign AI is one of the biggest infrastructure buildouts of this decade, and it runs on capital as much as it runs on chips,” said Stuart Connolly, CIO of Deus X Capital. “TensorX builds the compute, Solstice brings the financing, and aiUSX lets more companies take part in funding it. Both companies are in the Deus X Capital ecosystem, which is why we’re uniquely positioned to deliver this to the market.”
About Solstice
Solstice is an onchain settlement and yield protocol and part of the Deus X Capital ecosystem. Its dollar-denominated asset, USX, and its treasury products provide institutions and businesses with capital that remains liquid and productive. Solstice has a three-year audited track record and more than $500 million in total value locked.
About TensorX
TensorX is a sovereign AI infrastructure company based in Dublin. It buys and operates AI hardware and data-center capacity across the EU, connects clients to private compute, and keeps prompts and data on European infrastructure with full data residency and zero retention.
Contact
Laura
Conquista Ventures
laura@conquista.co
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
Karviva Profit Cacao Whole Plant Protein & Prebiotic Smoothie Selected as a Good Housekeeping 2026 Snack Awards Winner
Saint Louis, Missouri, United States, 25th Jun 2026 – Karviva announced today that the Karviva Profit Cacao Whole Plant Protein & Prebiotic Smoothie was named a winner in Good Housekeeping’s 2026 Snack Awards. The product was recognized in the Beverage category. The full list of awards can be found on goodhousekeeping.com/snacks2026.
The Karviva Profit Cacao Whole Plant Protein & Prebiotic Smoothie is a ready-to-drink, USDA Organic and Non-GMO Project Verified beverage crafted from a whole plant blend of organic cacao, wild chestnut, quinoa, gluten-free oats, oat protein, flaxseed, and pear. Each 12 fl oz bottle delivers 20 grams of plant protein, 8 grams of dietary fiber, and only 2 grams of total sugars with zero added sugars, designed to support sustained energy, digestive health, and everyday nutrition without compromise. The smoothie reflects Karviva’s founding philosophy that Food Is Better Medicine
, bridging modern nutritional science with the principles of Traditional Chinese Medicine.
About Good Housekeeping’s 2026 Snack Awards
To find the best snacks on the market, the Good Housekeeping Institute’s registered dietitians and culinary experts rigorously analyzed the ingredient lists, nutrition facts labels, packaging claims, and flavor profiles of hundreds of submissions. Next, more than 2,000 taste testers tried the snacks to help determine which ones came out on top in the real world. Winners were selected based on innovations in the food space that taste great and meet nutritional criteria, such as caps on per-serving calories, sugar, and sodium.
What Good Housekeeping said about Karviva Profit Cacao
GH’s dietitians highlighted the nutritional balance, and taste testers described it as rich, chocolatey, and smooth. “I really enjoyed the taste of this drink, and it kept me very satisfied,” one tester said. “I could see anyone who is a fan of chocolate milk really liking it.”
Quote from Karviva
“Wellness is not a sprint or a quick fix. It is rhythm, not restriction,” said Dr. Angela Zeng, Ph.D., MBA, founder of Karviva. “Being named a Good Housekeeping 2026 Snack Awards winner is meaningful because the evaluation was rigorous, the panel was credible, and the testers were real. It affirms what we have built at Karviva from day one: that whole plant nutrition, rooted in science and tradition, can be clean, functional, and deeply satisfying.”
Founded in 2017 by Dr. Angela Zeng, a food scientist and Traditional Chinese Medicine scholar trained in pathology and biochemistry, Karviva was built to bridge ancient herbal wisdom with modern clinical nutrition. Rather than dilute the formulas to fit existing co-packers, Dr. Zeng built her own production facility in St. Louis. Today, Karviva is sold in more than 2,000 retail locations across the U.S. and Canada, including Whole Foods Midwest, Sprouts Farmers Market, Gelson’s, Stop & Shop, and HomeGoods, with over one million bottles sold to date and more than 20 million combined monthly media impressions across syndicated features.
About Karviva
Karviva is a multi-award-winning functional beverage brand crafting low-sugar, plant-powered drinks that blend modern nutritional science with ancient Eastern wisdom. Founded by Dr. Angela Zeng, Ph.D., MBA, a TEDx speaker, food scientist, and Traditional Chinese Medicine scholar, Karviva is built on the philosophy that Food Is Better Medicine. Every beverage is crafted from whole plants, hydroponic sprouts, and superfruits like aronia to deliver antioxidants, prebiotic fiber, and clean energy, with no added sugar, no artificial sweeteners, and always non-GMO.
Karviva products are made in St. Louis and available in more than 2,000 retailers nationwide. Recognized by the 2025 World Beverage Innovation Awards (Best Low/No Alcohol Beverage), the 2025 ECRM Buyer’s Choice Award, and Progressive Grocer’s 2026 Editors’ Picks, Karviva has been featured in Forbes, Bon Appétit, USA Today, Bloomberg, Yahoo Finance, and MarketWatch. Learn more at karviva.com.
Media Contact
Organization: Karviva
Contact Person: Dr. Angela Zeng
Website: https://karviva.com/
Email:
angela@karviva.com
City: Saint Louis
State: Missouri
Country:United States
Release id:46325
The post Karviva Profit Cacao Whole Plant Protein & Prebiotic Smoothie Selected as a Good Housekeeping 2026 Snack Awards Winner appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
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 DATA Foundation Launches to Tackle AI’s Multi-Billion Dollar Training Data Bottleneck
Solstice and Tensorx to Buy $1 Billion in AI Infrastructure to Support EU Sovereign AI Demand
Karviva Profit Cacao Whole Plant Protein & Prebiotic Smoothie Selected as a Good Housekeeping 2026 Snack Awards Winner
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