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Lumino, lightening up the world of secure multi-party computation

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New digital era, new demand of security

With the advent of the era of big data, the leakage and abuse of personal privacy data are common, which not only disturbs the normal market order, but also seriously restricts the innovation and development of the digital economy. In recent years, many countries have carried out relevant legislation of digital economy and data governance, which makes the legal requirements of personal privacy data more rigorous, and the supervision system is becoming increasingly strict. The various online scenarios led by the Covid-19 not only bring convenience to our life, but also cause a lot of security demand of data protection

Therefore, the data producers, such as government agencies, operators, platforms, are constantly raising the legal standards of storage, transmission and transaction. It has brought a problem to the data owners: how can fully utilize the data resource endowment to create business profits and social value, meanwhile ensure that the data privacy is protected in accordance with supervision provisions? The real demand behind the problem is bound to give birth to new technologies. The combination of blockchain and secure multi-party computation provides a new solution for breaking the “data island”, ensuring data security and releasing data value.

Recently, as the leader in the global blockchain industry, PlatON has started a new journey in the construction of privacy computation infrastructure, launching the secure multi-party computation ceremony—— Lumino. Lumino aims to create system parameters in a decentralized way, which could help build a real community-based, open-source blockchain ecosystem and ensure the underlying security of the main network and the reliability of future digital applications.

The “chemical reaction” of blockchain and secure multi-party computation

To understand the essence of Lumino, we need to understand the blockchain and secure multi-party computation. Blockchain is a technical solution that does not rely on a third party and a network that stores, verifies, transmits and communicates through its own distributed nodes. The core problems it solves are network decentralization, data consistency and tamper-prevent. Secure multi-party computation is to solve the problem of privacy protection among a group of mutual distrusted participants. It should ensure the independence, correctness decentralization and do not disclose the data to other participants. Secure multi-party computation was firstly proposed by professor Yao Qizhi, who is a Chinese computer scientist and the winner of Turing prize. Since 2010, the development of executable general compiler makes its concept gradually well-known.

It can be seen that both blockchain and multi-party security computation are technologies dealing with data interaction between a group of participants according to specific rules. However, blockchain is mainly used to verify the correctness of the calculation, and the purpose is to achieve the consistent recognition of the results and prevent the results from being tampered with; the purpose of secure multi-party computation (MPC) is to get specific results in the case of data confidentiality, and emphasis on privacy protection in data share situation.

When secure multi-party computation encounters blockchain, the integration has become a technology trend that attracts much attention. Due to the different traits of blockchain and multi-party security computation, they are not exclusive and can complement each other. Blockchain can improve its ability of data confidentiality by using secure multi-party computation to adapt to complex environments; while secure multi-party computation can complete redundant computation with the help of blockchain to obtain verifiable and unique results.

The combination of MPC and blockchain is ultimately to meet the more complex and changeable real needs, especially for various environments of data exchange and sharing. For example, secure multi-party computation can realize key management in the blockchain wallet, and divide the management right of assets reasonably to reduce the risk of single key loss. It can also realize the cross-domain access of EHR data. Based on personal digital identity infrastructure, hospital A could apply for data access to hospital B by obtaining the patient’s authorization, which does not need directly return the patient’s medical record data. It would meet the dual goals of diagnosis needs and privacy protection.

New practice in privacy protection——PlatON & Lumino

Secure multi-party computation is essentially a solution for data security. It is consisted of cryptographic technologies such as obfuscation circuit, secret sharing, homomorphic encryption, etc. PlatON has already realized the layout in these fileds. The key to secure multi-party computation is to use zero knowledge proof to prove that there is no leakage, which is also the key to Lumino.

Most of the existing efficient zero-knowledge proof algorithms need to create system parameters in a centralized way, so the third party who creates the parameters may forge proofs to destroy the underlying security of the main network. Lumino aims to generate the system parameters of the zero-knowledge proof through secure multi-party computation. In this process, the parameters are generated by members altogether, so they will not be obtained or tampered by a single party. This also constitutes the cornerstone of the subsequent privacy protection application. Only when the activity held safely, the subsequent decentralized application will be more secure.

This ceremony is PlatON’s latest practice in the field of privacy protection, and Lumino’s goal is to link the world’s cryptographic geeks to build a global privacy computation infrastructure. In the future community-based and open-source blockchain ecosystem, every participant is an important node, and every participation will make the underlying network more secure. Therefore, this is not only an activity, but also a collective wisdom full of ritual sense. PlatON will also take this opportunity to realize the vision of building infrastructure in the digital era, and make every effort to be the best practitioner in the field of privacy security.

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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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Dan Weddle’s Earned Wisdom Reaches no.1 on Amazon, Inspiring Readers Worldwide with Stories of Resilience and Triumph

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  • 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 WIREEarned 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.

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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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Beyond Computation: How Neel Somani and ChatGPT Are Rewriting Mathematics

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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:

  • Recited known literature: 618 (The AI acted as a search engine)

  • Incorrect: 17 (The AI hallucinated or failed)

  • Correct, known results: 12

  • 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:

  1. The Architect (Human): Identifies the problem and frames the prompt.

  2. The Engine (AI): Generates potential proofs, leveraging vast databases of axioms.

  3. 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?

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Hometown Ticketing Demonstrates the Power of Scalable EdTech Through Real-World Customer Success and Proven SaaS Leadership

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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

https://www.linkedin.com/in/nicholasmirisis/

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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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