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 “The outdated people stick to the end.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
Dan Weddle’s Earned Wisdom Reaches no.1 on Amazon, Inspiring Readers Worldwide with Stories of Resilience and Triumph
- Earned Wisdom: Stories of Overcoming and Resilience by Dan Weddle has achieved #1 bestseller status on Amazon as of December 11, ranking at the top of multiple categories. The book offers honest and personal recounts of overcoming adversity, leadership, and building a meaningful life and career through perseverance, faith, and determination.
Memphis, Tennessee, 4th February 2026, ZEX PR WIRE, Earned Wisdom: Stories of Overcoming and Resilience by Dan Weddle has secured the #1 spot on Amazon in the Motivational Business Management, Personal Success in Business, and Biographies of Business Professionals categories.
The book is an inspiring and candid reflection on Dan Weddle’s personal and professional journey. As President and CEO of ProTech Services Group, Inc., Weddle traces the long, often painful road that shaped him into the leader he is today. Weddle grew up in a broken family with generational struggles around addiction and limited financial stability, and navigated grief, loss, and career uncertainty for a long time. Through the book, he offers readers an honest look at what it takes to keep moving forward.

Before becoming the President and CEO of a respected technology and talent services firm, Weddle began his career as a nineteen-year-old beat cop specializing in narcotics. During that time, he never would’ve imagined leading an innovative IT company one day. However, through hard work, learning on the job, and consistently seizing opportunities as they arose, Weddle built a thriving career.
The book also explores extremely personal chapters of Weddle’s life. He shares what it meant to juggle three jobs, make a complete career shift, become an instant father, and face the devastating loss of a child. These experiences shaped his leadership style and his outlook on life. Throughout Earned Wisdom, Weddle emphasizes the importance of faith, family, and community, as well as the humility to ask for help when it is needed most.
“There will almost always, at some point in life, be struggles and hardships,” Weddle says. “No one can avoid them. What’s important is how we deal with those hardships, and that we get back up every time we’re knocked down.”
Dan Weddle is also widely recognized for his leadership at ProTech Services Group, Inc., a Memphis-based company founded in 1992. The firm provides managed services, cybersecurity, cloud solutions, technology consulting, and talent acquisition. In the Memphis community, Weddle serves on multiple boards, including Streets Ministries and the Memphis Shelby County Crime Commission, and is actively engaged in leadership and advisory organizations.
These experiences and successes converge in Earned Wisdom, offering readers a fresh service-based perspective on leadership and responsibility. The book’s success is an incredible milestone for Dan Weddle.
Earned Wisdom: Stories of Overcoming and Resilience is available on Amazon.
About the Author:
Dan Weddle is the President and CEO of ProTech Services Group, Inc., a Memphis, Tennessee–based technology and talent services firm. He has more than three decades of experience in leadership, IT consulting, and business development. Weddle is known for his people-first approach and commitment to helping organizations and individuals succeed personally and professionally. Earned Wisdom is his debut book, offering lessons on adversity, leadership, and life experience.
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
Beyond Computation: How Neel Somani and ChatGPT Are Rewriting Mathematics
California, US, 4th February 2026, ZEX PR WIRE, For decades, the “Erdős problems”, a collection of over 1,000 mathematical conjectures posed by the legendary Hungarian mathematician Paul Erdős, have served as a rigorous proving ground for the world’s brightest human minds. They range from deceptively simple number theory puzzles to complex combinatorial nightmares.
For a long time, the consensus was that Artificial Intelligence could handle calculation, but not creation. It could crunch numbers, but it couldn’t reason through abstract proofs.
That consensus just shattered.
Over a single weekend, Neel Somani, a software engineer and founder of the blockchain platform Eclipse, utilized OpenAI’s GPT 5.2 Pro to crack open Erdos problems that had remained unsolved for years. This wasn’t a case of a computer searching a database faster than a human; it was a case of an AI generating novel mathematical logic, formalized by a human expert.
We are witnessing a fundamental shift in the epistemological hierarchy of mathematics. The barrier between “human reasoning” and “machine processing” is dissolving, and Somani’s work provides the data to prove it.
The Weekend Win: Cracking Problem #397
Neel Somani, a former quantitative researcher at Citadel with a triple major from UC Berkeley, was stress-testing the reasoning capabilities of the new GPT 5.2 Pro model. He wasn’t looking for a calculator; he was looking for a co-author.
He fed the model Erdos Problem #397. After approximately 15 minutes of “thinking,” the model returned a full solution.
The problem asks for integer solutions to a specific binomial identity. To the layman, it looks like a jumble of variables. To a mathematician, it represents a precise relationship between numbers. The AI proposed that since $a$ can be chosen arbitrarily large, there are infinitely many distinct-index solutions.
Specifically, for an example where $a = 2$, the AI derived that $c = 49$, and the identity becomes:
$$ binom{2}{1} binom{49}{6} = binom{98}{3} binom{1}{1} $$
Somani reviewed the output. It wasn’t just hallucinated gibberish; it was sound logic. He formalized the proof using a tool called Harmonic and submitted it. The result? Accepted by Terence Tao, one of the most respected mathematicians alive today.
The AI had not only identified a solution but had effectively “reasoned” its way through a path that differed from previous partial attempts. While the model found a 2013 Math Overflow post by Harvard mathematician Noam Elkies regarding a similar problem, GPT 5.2 Pro’s final proof offered a more complete solution to the specific version posed by Erdős.
The “Unambiguous Instance”: Problem #281
If Problem #397 was a fluke, Problem #281 was the confirmation.
Neel Somani turned the model toward a covering system problem in number theory. The problem posits:
Let $n_1 < n_2 < dots$ be an infinite sequence such that, for any choice of congruence classes $a_i pmod{n_i}$, the set of integers not satisfying any of the congruences $a_i pmod{n_i}$ has density 0.
The question was whether for every $epsilon > 0$ there exists some $k$ such that the density of integers not satisfying the congruences is less than $epsilon$.
GPT 5.2 Pro generated a new proof. When Somani published the results, Terence Tao referred to it as “perhaps the most unambiguous instance” of AI solving an open problem.
This distinction is critical. In the past, AI “solutions” were often just efficient retrievals of existing literature. In this case, no prior solution was found. The AI bridged the gap between the known and the unknown.
The Data: Separating Genius from Hallucination
Skeptics often point to LLM hallucinations as a reason to dismiss their utility in rigorous fields. Somani, approaching this with the mindset of a quant and a computer scientist, decided to quantify the model’s actual efficacy.
He recruited a team of undergraduates to construct a dataset of ChatGPT responses to every open Erdos problem, 675 in total. The results provide a fascinating map of the current AI frontier:
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Recited known literature: 618 (The AI acted as a search engine)
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Incorrect: 17 (The AI hallucinated or failed)
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Correct, known results: 12
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New solutions to Erdos problems: 3
While 3 out of 675 might seem statistically small, in the world of high-level mathematics, it is monumental. It implies that for a specific subset of problems, the AI is already operating at the level of a published mathematician.
The “Long Tail” of Mathematics
Why is this happening now? Terence Tao, observing Somani’s progress, conjectured on Mastodon that AI systems are uniquely suited for the “long tail” of obscure Erdos problems.
Many of these problems are not “unsolvable” in the sense that they require a new branch of mathematics to be invented (like Fermat’s Last Theorem). Rather, they are tricky, labor-intensive, and obscure. They require connecting disparate axioms, Legendre’s formula, Bertrand’s postulate, the Star of David theorem, in novel ways.
This is where the scalable nature of AI shines. A human mathematician might spend a lifetime solving a dozen such problems. An AI, directed by a human operator like Somani, can attempt thousands in a day, clearing out the “clutter” of the mathematical landscape and leaving humans to focus on the deepest, most structural conjectures.
The Role of the Human Operator
It is important to note that GPT 5.2 Pro did not do this alone. It required Neel Somani.
Neel Somani’s background is pivotal here. As the founder of Eclipse, a Layer 2 blockchain platform that raised $65 million, and a former researcher at Citadel, he understands complex systems. His triple major from Berkeley in CS, Math, and Business gave him the vocabulary to prompt the model effectively and, more importantly, the expertise to verify the output.
The future of mathematics, and enterprise problem solving, looks exactly like this workflow:
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The Architect (Human): Identifies the problem and frames the prompt.
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The Engine (AI): Generates potential proofs, leveraging vast databases of axioms.
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The Verifier (Human/Formalization Tools): Tools like Lean or Harmonic are used to formally check the logic, ensuring the AI hasn’t made a subtle error.
The Future of Discovery
We are moving toward an era of “Formalization,” where labor-intensive verification is automated by tools like Harmonic’s Aristotle, and creative reasoning is augmented by models like GPT 5.2.
Neel Somani’s work with the Erdos problems is not just a “weekend win” for a crypto founder. It is a signal to every industry. If AI can reason through unsolved number theory, what can it do for supply chain logistics? For cryptographic security? For protein folding?
The tools are here. The frontier is open. The only question remaining is: what problem will you prompt next?
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
Hometown Ticketing Demonstrates the Power of Scalable EdTech Through Real-World Customer Success and Proven SaaS Leadership
Littleton, CO, 4th February 2026, ZEX PR WIRE, As schools, districts, and athletic organizations continue to modernize operations and enhance community engagement, digital ticketing has emerged as a critical infrastructure component rather than a convenience. Hometown Ticketing, a leading digital ticketing and event management platform for K-12 schools and districts nationwide, is setting the standard for what scalable, customer-centered EdTech SaaS can achieve, backed by real customer outcomes and experienced executive leadership.
Across the United States, schools are turning to Hometown Ticketing to eliminate cash handling, increase attendance visibility, improve compliance, and create smoother experiences for families and administrators alike. What distinguishes the company is not only its technology, but the measurable impact it delivers at the ground level.
A Real Customer Story: Simplifying Operations and Increasing Revenue
One public example frequently cited by school administrators comes from districts that transitioned from paper tickets and fragmented payment systems to Hometown Ticketing’s centralized digital platform. According to customer stories shared through Hometown Ticketing’s public blog and webinar resources, schools report faster gate entry, reduced staffing needs, improved financial transparency, and increased event revenue after adopting the platform.
In one such case, a mid-sized school district implemented Hometown Ticketing across athletic events and fine arts programming. Administrators noted that digital ticketing eliminated reconciliation delays, reduced errors tied to cash handling, and provided real-time reporting that allowed leadership to make informed decisions about pricing and attendance trends. Parents and community members benefited from mobile-friendly ticket purchasing and entry, while staff reclaimed hours previously spent on manual processes.
These outcomes reflect a broader trend seen across Hometown Ticketing’s customer base. The platform operates quietly in the background while delivering tangible operational and financial improvements.
Built for Schools, Scaled for the Future
Hometown Ticketing’s platform is designed specifically for the realities of K-12 education. Unlike generic ticketing solutions, the system integrates with school workflows, supports district-wide oversight, and prioritizes accessibility for families and staff. The company’s continued investment in usability, reporting, and platform stability reflects a long-term commitment to schools, not just short-term transactions.
This customer-first approach has allowed Hometown Ticketing to grow steadily while maintaining strong retention and expanding its footprint nationwide. Behind this momentum is a leadership philosophy grounded in disciplined execution, scalable systems, and sustainable growth.
Strategic Leadership Driving Long-Term Value
A key figure supporting this next phase of growth is Nicholas Mirisis, an accomplished SaaS executive and operating partner with more than 20 years of experience leading and scaling vertical software companies across global markets.
Nicholas Mirisis serves as a strategic leader and advisor within the EdTech ecosystem, bringing a proven track record of transforming SaaS organizations into high-performing, durable enterprises. His experience spans venture-backed, private equity, growth equity, and founder-led environments, with leadership roles across EdTech, FinTech, GovTech, Healthcare, and Defense Tech.
As Chief Executive Officer and Board Member of a Series-A EdTech SaaS company based in Columbus, Ohio, Mirisis led a successful turnaround that achieved greater than rule-of-35 performance and more than $11 million in EBITDA. His approach combined rebuilding go-to-market infrastructure, embedding AI and machine learning innovation, and implementing sustainable operating frameworks focused on accountability and customer outcomes.
Prior to this role, Mirisis held executive leadership positions at companies including SamCart, GoCanvas, and Dude Solutions. His tenure included guiding organizations through large-scale transformations and successful exits, such as Siemens’ $1.57 billion acquisition of Dude Solutions and Nemetschek’s 11.5x ARR acquisition of GoCanvas.
Today, Mirisis is widely recognized as a disciplined fiduciary and strategic operator with deep expertise in value creation, M&A integration, performance culture, and customer retention. These capabilities align closely with Hometown Ticketing’s growth trajectory.
Aligning Customer Impact With Enterprise Discipline
What makes Hometown Ticketing’s story particularly compelling is the alignment between customer-level success and enterprise-level discipline. Schools experience simpler operations and better engagement, while the company benefits from strong unit economics, predictable revenue, and long-term customer relationships.
This alignment reflects a broader shift in the EdTech market, where stakeholders increasingly demand solutions that are both mission-driven and operationally sound. Hometown Ticketing’s ability to demonstrate real outcomes, supported by experienced SaaS leadership, positions the company as a trusted partner for schools navigating digital transformation.
Looking Ahead
As digital infrastructure becomes essential to education systems nationwide, Hometown Ticketing remains focused on responsible growth, continued product innovation, and deepening its impact within school communities. By leveraging real customer success stories and experienced leadership, the company continues to reinforce its reputation as a reliable, scalable, and future-ready EdTech provider.
For schools seeking proven solutions and for partners and investors looking for disciplined SaaS execution, Hometown Ticketing represents a model of how technology, leadership, and customer outcomes can align to create lasting value.
About Nicholas Mirisis
Nicholas Mirisis is a visionary CEO and operating partner with more than two decades of experience transforming and scaling high-growth vertical SaaS companies across global markets. Known for his disciplined leadership and deep operational expertise, he has mastered a wide spectrum of capital environments, including private equity, venture capital, and founder-led organizations. His diverse portfolio spans industries such as Defense Tech, EdTech, FinTech, GovTech, Healthcare, and Manufacturing, with consistent results in driving profitability, innovation, and market expansion.
Currently serving as Chief Executive Officer and Board Member of a Series-A EdTech company based in Columbus, Ohio, Nicholas has led the business from negative growth to to profitability within a year. His leadership focuses on operationala greater than rule of 35 performance and more than $11M EBITDA excellence, AI-driven innovation, and sustainable revenue growth through strategic partnerships, M&A integration, and customer retention.
Previously, Nicholas held senior leadership roles at SamCart, GoCanvas, and Dude Solutions, where he consistently achieved exceptional ARR growth, operational efficiency, and notable strategic exits including Siemens’ $1.57B acquisition of Dude Solutions and Nemetschek’s 11.5x ARR acquisition of GoCanvas.
A results-driven leader with a global mindset, Nicholas is passionate about building elite teams, mentoring high-potential talent, and creating cultures of accountability and performance. He holds a Master’s in Government from Johns Hopkins University and a Bachelor’s in Political Science from North Carolina State University.
Contact
Nicholas Mirisis
Partner at Fulcrum Venture Group
Littleton, 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.
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