SAN LORENZO, Calif. — October 12, 2026 — Author and entrepreneur Marcus Fogle announces the completion of his Something Worth Building trilogy with Part Three: Understanding of Only a World I Know & Knew, joining Something Worth Building: My Story of Independence and Possibility and Part Two: The Roads I Have Traveled — My Journey.

The trilogy tells Fogle’s story in three parts: Part One, a memoir about perseverance, independence, and building a business through life’s challenges; Part Two, the step-by-step journey from a 2002 vocational classroom through the journeyman mechanic years to founding his own business; and now Part Three, which goes back to where it all started — the childhood-to-adulthood years.

Part Three: Understanding of Only a World I Know & Knew covers Fogle’s early life — from Florida to California, through school years marked by loss and hard lessons, leaving home at seventeen, becoming a father, seven years behind the wall, and the college comeback that made him a mechanic. Told straight, in his own words, it closes with his personal sign-off: “I am a learner. I approve this message.”

Established in 2014, Marcus JP Family Renew & Reuse Solutions is Fogle’s eco-friendly business focused on recycling, renewing, and reusing materials. His experience forms the foundation of a story about adapting to change, learning through experience, and creating something sustainable through determination and honest work.

Rather than presenting a story of perfection, Something Worth Building explores the value of starting over, making practical decisions, and developing independence one step at a time. The trilogy is intended for readers who have faced setbacks, reconsidered their direction, or wanted to build something of their own.

Parts One and Two are available in paperback for $14.99 and Kindle eBook for $4.99 through Amazon. Manuscript editions of all three books are available for $30 each through the author’s website. Part Three’s Amazon editions are in production.

Fogle hopes his story will encourage readers to keep moving forward, make the most of available opportunities, and recognize that meaningful progress often comes from persistence and a willingness to learn.

About Marcus Fogle

Marcus Fogle is the founder of Marcus JP Family Renew & Reuse Solutions, an eco-friendly recycling and reuse business serving San Lorenzo, California. His work and writing reflect his commitment to practical problem-solving, resourcefulness, and independence.

Book Information

Title: Something Worth Building: My Story of Independence and Possibility

Author: Marcus Fogle

ISBN: 979-8160477992

Amazon: https://www.amazon.com/dp/B0HMFDKDLG

Title: Something Worth Building, Part Two: The Roads I Have Traveled — My Journey

Author: Marcus Fogle

Amazon: https://www.amazon.com/dp/B0HMLKP5QJ

Title: Something Worth Building, Part Three: Understanding of Only a World I Know & Knew

Author: Marcus Fogle

Direct manuscript edition: https://buy.stripe.com/dRm28q5iYfnu7M75Po1ck06

Website: https://www.marcusjpfamily.org

Media Contact

Marcus Fogle
Phone: (925) 322-1267
Website: https://www.marcusjpfamily.org

  • Triple board-certified facial plastic surgeon Mansher Singh explains how natural, undetectable results separate lasting rejuvenation from obvious surgery in Manhattan, New York.

The Patient Who Looked Refreshed, Not Operated On

New York, USA, Oct 12, 2026, ZEX PR WIRE — A woman in her late fifties walked into the Manhattan practice nervous about her upcoming college reunion. She wanted to look like herself again, not like someone who had obvious work done. After a deep plane facelift and upper blepharoplasty, she returned for her six-month follow-up with a different concern: her friends kept asking about her skincare routine, not her surgeon. That, according to Mansher Singh, is exactly the point.

“The best facelift is the one no one can identify as surgery,” Singh says. “My goal is to restore harmony, not change identity.”

Singh performs over 100 facelifts annually at his Fifth Avenue practice, specializing in deep plane facelift, necklift, upper and lower blepharoplasty, and facial fat transfer. He is among the select few surgeons in the United States to hold triple board certification from the American Board of Surgery, American Board of Plastic Surgery, and American Board of Facial Plastic & Reconstructive Surgery.

The Problem With Surgical-Looking Results

Many patients fear looking overdone, pulled, or permanently surprised after facial rejuvenation surgery. Singh sees this hesitation daily in consultations. His approach focuses on repositioning deeper facial structures rather than simply pulling skin tight, a technique that produces softer, longer-lasting results with minimal scarring.

“I define success in my practice by the long-term happiness and trust of my patients,” Singh explains. “In facial rejuvenation surgery especially, I believe that the best outcomes are often the ones that do not look surgical.”

Singh’s practice has earned over 1,500 five-star reviews and attracts patients from around the world. In 2022, he was named a top-performing doctor and second most reviewed plastic surgeon on RealSelf. He has also received recognition from Castle Connolly, Super Doctors, Marquis Who’s Who, and the Long Island Beauty Award for Best Facelift Surgeon.

Trust Over Transactions

Facial surgery is deeply personal, and Singh structures his practice around accessibility and relationship-building. He personally checks on each patient throughout recovery, a white-glove approach uncommon in high-volume practices.

“Success also means building genuine relationships with patients throughout their journey,” Singh says. “Facial surgery is deeply personal, and trust is everything. I take pride in being highly accessible to my patients before and after surgery.”

Singh’s career path included surgical training at elite institutions associated with Harvard Medical School and Johns Hopkins. He opened his Manhattan practice in 2021 immediately after completing his fellowships and rapidly built one of the busiest facial rejuvenation practices in New York.

Discipline Learned Early, Applied Daily

Born and raised in India, Singh is the 11th doctor in his family. He attended an all-boys boarding school run by monks from age 11 through grade 12, waking at 5 a.m. daily for meditation and learning principles of karma and spirituality. Both parents are surgeons.

“My parents have been the single biggest influence in my life and career,” Singh says. “They instilled in me the values of discipline, humility, resilience, and hard work from a very young age.”

That mindset carried through medical school at the All India Institute of Medical Sciences, a post-doctoral research fellowship at Yale University School of Medicine, general surgery residency at Harvard Medical School, and plastic surgery fellowship at Johns Hopkins School of Medicine.

“Coming from a different country and adapting to an entirely new system taught me very early on that life is not always going to be fair or easy, and spending energy blaming circumstances rarely moves you forward,” Singh says.

Copy This Framework: Five Phases to Natural Facial Rejuvenation

Singh’s approach to patient care follows a consistent framework designed to produce natural results that age well over time.

Phase 1: Honest Assessment Begin with a thorough consultation that addresses realistic expectations, facial anatomy, and long-term goals. Avoid surgeons who promise perfection or rush the decision-making process.

Phase 2: Anatomy-Based Planning Ensure the surgeon tailors the procedure to your unique facial structure, age, and aesthetic goals. One-size-fits-all techniques often produce cookie-cutter results.

Phase 3: Deep Structure Focus Look for surgeons who work with deeper facial layers, not just skin. Deep plane techniques reposition underlying muscles and fat for longer-lasting, more natural outcomes.

Phase 4: Accessible Recovery Support Choose a practice where the surgeon remains accessible throughout recovery. Personal check-ins and responsive communication reduce anxiety and improve healing.

Phase 5: Long-Term Follow-Up Prioritize surgeons who measure success in years, not weeks. Natural results should hold up over time, not fade or require frequent revisions.

Quick Wins: What to Look for in Your First Consultation

  • Surgeon reviews before-and-after photos showing patients with similar facial structures and aging patterns to yours.

  • Detailed discussion of risks, recovery timeline, and what happens if complications arise.

  • Clear explanation of the specific technique recommended for your anatomy, not a generic facelift pitch.

  • Surgeon personally performs the procedure and manages post-operative care, not a rotating team.

  • Office environment feels calm, professional, and unhurried.

Red Flags: Warning Signs to Avoid

  • Promises of zero scarring, zero downtime, or miracle transformations.

  • Pressure to book surgery during the first consultation or add on unnecessary procedures.

  • Lack of triple board certification or verifiable credentials from recognized medical boards.

  • Generic treatment plans that do not account for your individual facial structure.

  • Limited access to the surgeon after the procedure or reliance on staff for post-operative care.

  • Before-and-after photos that all look the same or appear heavily filtered.

Results That Outlast the Recovery

Singh measures success by how patients look and feel years after surgery, not just in the immediate post-operative period.

“A patient looking refreshed and natural several years after surgery is far more meaningful to me than a result that only looks impressive immediately after the procedure,” Singh says.

He emphasizes continual learning and critical self-assessment as essential to improving outcomes over time.

“Humility is another essential quality,” Singh says. “Plastic surgery is a field where learning never stops. I think it is very important to critically analyze your own outcomes, continue refining your techniques, and remain open to growth throughout your career.”

Apply This Framework to Your Own Journey This Week

If you are considering facial rejuvenation surgery, start with an honest self-assessment of your goals and expectations. Research surgeons who prioritize natural results and long-term patient relationships. Schedule consultations with triple board-certified specialists who explain their techniques in detail and remain accessible throughout recovery. Ask about their approach to deep plane facelifts, review their before-and-after galleries for patients similar to you, and pay attention to how they define success. The best outcomes are built on trust, precision, and a commitment to results that look like you, only refreshed.

About Mansher Singh

Mansher Singh is a triple board-certified facial plastic and reconstructive surgeon based in Manhattan, New York. He holds certifications from the American Board of Surgery, American Board of Plastic Surgery, and American Board of Facial Plastic & Reconstructive Surgery. Singh completed surgical training at institutions associated with Harvard Medical School and Johns Hopkins and opened his Fifth Avenue practice in 2021. He specializes in deep plane facelift, necklift, blepharoplasty, facial fat transfer, and CO₂ laser resurfacing, performing over 100 facelifts annually. He has earned recognition from Castle Connolly, Super Doctors, Marquis Who’s Who, and RealSelf.

The new guide sites cover the open-source Craft Apps family, with installation guides, tutorials and comparisons for creative users.

Zimbabwe, 12th Oct 2026, Grand Newswire – Clawbot.ai today announced the launch of the Craft Apps Guide Network, seven independent resource websites that provide product information, installation guidance and workflow tutorials for users evaluating open-source creative software, including the Craft Apps family.

Clawbot.ai Launches Independent Craft Apps Guide Network With Seven Resource Sites

The sites are independently operated by Clawbot.ai and are not affiliated with or endorsed by the developers of the software they cover.

Open-source applications now exist for most areas of creative work, from photo editing and RAW processing to page layout and motion graphics. For many creative users, the harder part is not finding a tool but knowing which one fits their work and how to get started. Each site in the network focuses on one area of creative work and answers those questions in plain language.

https://photocrafts.app covers photo editing and https://filmcrafts.app covers video editing, while other sites in the network cover vector illustration, page layout, PDF tools and motion graphics. The sites include application overviews, system requirements, installation steps, beginner tutorials, workflow guides, comparisons and answers to common questions.

The guides are written for photographers, illustrators, designers, video editors, independent publishers, students and educators. A photographer moving to an open-source RAW workflow can start with the processing guides on https://lightcrafts.app while an illustrator can find step-by-step vector tutorials on https://vectorcrafts.org.

“Open-source creative tools are more capable than many people realize, but clear, practical information about them is still hard to find,” said Andy, Founder of Clawbot.ai. “We built the Craft Apps Guide Network so that anyone considering one of these applications can see what it does, how to install it and how it fits into their work, all in one place.”

About Clawbot.ai

Clawbot.ai is an independent software reference site that helps users find, compare and set up AI agents, MCP servers and agent skills through source-linked directory records, installation guides and a knowledge base.

About the Craft Apps Guide Network

The Craft Apps Guide Network is a series of seven independent resource websites published by Clawbot ai: photocrafts.app, filmcrafts.app, lightcrafts.app, vectorcrafts.org, https://designcraft.app/, https://pdfcrafts.org/ and https://effectcrafts.com/.

Media Contact 

Clawbot.ai 

Andy, Founder 

contact@clawbot.ai

Media Contact

Organization: Clawbot ai

Contact
Person:
Andy

Website:

https://clawbot.ai/

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contact@clawbot.ai

Country:Zimbabwe

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  • Aneesh Sharma believes that good decision-making requires looking beyond the outcome and understanding the information, reasoning, and circumstances behind a choice.

The Difference Between a Decision and Its Result

New Hampshire, USA, Oct 12, 2026, ZEX PR WIRE — A good outcome can make a decision look better than it actually was. A bad outcome can make a reasonable decision look worse.

Aneesh Sharma has become interested in that distinction through his experiences in analytics, education, and football. For Sharma, the more useful question is not simply whether something worked. It is whether the decision made sense based on the information available at the time.

That way of thinking is useful in football, but it also applies to many areas of life. People make decisions with incomplete information every day, and the result does not always provide a complete picture of whether the original choice was sound.

Why Outcomes Can Be Misleading

People naturally judge decisions by what happens afterward. When something works, there is a tendency to assume the decision behind it was good. When something fails, people often look for someone or something to blame.

Sharma believes that approach can make it harder to learn.

A single outcome does not always reveal the quality of the process that produced it. Sometimes a thoughtful decision leads to an unfavorable result. Other times, a decision made without much consideration happens to work out.

The distinction matters because people can learn the wrong lesson from either situation. A failed decision might cause someone to abandon an approach that was reasonable, while a successful decision might encourage them to repeat something that only happened to work under a particular set of circumstances.

Looking at What Was Known at the Time

For Sharma, better decision-making starts with understanding the information that was available when the choice was made.

That means asking questions about the circumstances rather than judging everything from the final result. What information did the person have? What alternatives were available? What factors were most important? What could reasonably have been expected at the time?

This way of thinking is one reason Sharma has been interested in analytics. Data can help people identify patterns and understand possibilities, but it does not remove uncertainty. Good analysis still requires judgment and an understanding of the situation surrounding the numbers.

His studies in Quantitative Social Science at Dartmouth have given him another way to explore that relationship between information, people, and decision-making.

What Analytics Can and Cannot Do

Sharma’s experience with analytics in football has shown him that numbers are most useful when they are placed in context.

Analytics can provide information that might otherwise be difficult to see. It can help people compare possibilities, identify patterns, and think more carefully about their options. At the same time, data does not make every decision automatic.

There are always circumstances that cannot be perfectly captured by a spreadsheet or model. People still have to interpret information, communicate it, and decide how much weight it should receive.

That balance between information and judgment is useful far beyond sports. Whether someone is making a professional decision, working with a team, or trying to solve a problem, having more information does not necessarily make the decision easier. Knowing how to use that information is just as important.

The Importance of Leadership

Sharma also sees leadership as an important part of making good decisions. He has said, “Leadership qualities are consistently among the most important traits for a coach to have. It’s the starting point for the job.”

For him, leadership is not simply about being the person who makes the final decision. It also involves creating an environment where people can communicate clearly, consider different perspectives, and learn from mistakes.

That becomes especially important when the result is not what people expected. A strong team should be able to look back at a decision without automatically assuming that an unfavorable outcome means the process was wrong.

The same applies to success. A positive result can be worth celebrating while still leaving room to ask whether there was anything that could have been done differently.

What Different Experiences Can Teach You

Sharma’s experiences across different areas of football have also shaped the way he thinks about professional development. He has done analytics work with Dartmouth and Navy, handled recruiting for Georgia, and worked in training camp operations with the Los Angeles Rams.

Those experiences have exposed him to different responsibilities and different ways of working within a larger organization. They have also shown him that professional growth does not always happen through one clearly defined path.

Each experience can provide something different. One may develop analytical skills, another may improve communication, and another may provide a better understanding of how an organization operates.

For someone early in a career, that variety can be valuable. It allows a person to discover which types of work interest them while building skills that can carry into future opportunities.

Learning Beyond the Classroom

While his academic work has given Sharma a foundation in quantitative and social science concepts, his experiences outside the classroom have provided another kind of education.

Working with different organizations and people can teach lessons that are difficult to recreate through coursework alone. It requires adapting to different environments, communicating with people who have different responsibilities, and understanding how ideas are applied in real situations.

That combination of academic study and practical experience has become an important part of Sharma’s development.

Keeping Perspective Outside of Work

Football remains an important interest for Sharma, but it is not the only thing that occupies his time.

He is a film enthusiast and enjoys 35mm film photography, which gives him a creative outlet that is very different from the analytical work he has pursued academically and professionally. He also enjoys hiking, including exploring portions of the Appalachian Trail around Dartmouth’s campus.

Those interests offer a different way of paying attention to the world. Photography requires patience and observation, while hiking creates time to slow down and experience a place without the constant pressure to produce an immediate result.

Sharma has also spent time giving back to his community. During spring 2026, he volunteered 50 hours with NY Common Pantry, a food pantry in East Harlem.

A Broader Approach to Decision-Making

For Sharma, the larger lesson is that decisions should not be judged solely by what happens afterward.

Results matter, but they are only one part of the picture. Understanding the reasoning behind a choice, the information available at the time, and the circumstances surrounding it can provide a much clearer way to evaluate what happened.

That approach has influenced how Sharma thinks about analytics, education, leadership, and professional development. It also reflects a broader idea that applies well beyond football: making a good decision does not always guarantee a good result, and a good result does not always prove that the decision was good.

About Aneesh Sharma

Aneesh Sharma is a Dartmouth College Class of 2027 Quantitative Social Science major based in Hanover, New Hampshire. His experience includes analytics work with Dartmouth and Navy, recruiting work with Georgia, and training camp operations with the Los Angeles Rams. Outside of his academic and professional interests, Sharma enjoys 35mm film photography, film, hiking, and exploring the Appalachian Trail around Dartmouth’s campus. He also volunteered 50 hours with NY Common Pantry in East Harlem during spring 2026.

October 11, 2026 – Construction safety professional and educator Taiujuan L. Burches is introducing readers to two books, CHST: Beyond the Answer and Breaking Into Construction Safety: The Field-to-Career Blueprint. The books bring his educational publishing work together with the professional development focus of Aglobal Training Academy. Both titles are available as digital PDFs for $19.99 each through his Payhip bookstore.

The announcement gives readers two starting points: one for exploring a safety career and another for studying construction concepts in preparation for the CHST examination. Readers can review each product page, choose the title that fits their goals, and purchase directly through the links included with this release. The academy website provides a separate destination for people interested in training.

About Taiujuan Burches

Burches brings approximately 18 years of construction experience and more than 15 years of safety leadership to his work. His background includes construction and data center safety management. He earned a Bachelor of Science in Occupational Safety and Health from Columbia Southern University with a 3.93 GPA and holds the Graduate Safety Practitioner designation.

Learning through Aglobal Training Academy

The academy focuses on construction safety and professional development. Its programs include NCCER Field Safety, Safety Technology, Core, and Project Management, alongside other safety-focused courses. Readers can visit the school website to explore training and request current enrollment details. Book purchases and training enrollment are separate.

Buy CHST: Beyond the Answer: https://payhip.com/b/83Vvj

Buy Breaking Into Construction Safety: https://payhip.com/b/T6fyq

Visit Aglobal Training Academy: https://www.aglobalacademy.com/

Rabbi and Animal Chaplain Mikhail Salita honors rare Jerusalem-origin cats as “Heirs to King Solomon’s Feline Throne”

BROOKLYN, NY — A golden cat on an ancient king’s throne has inspired a new promise of care for a rare breed from Jerusalem. Rabbi and Animal Chaplain Mikhail Salita has announced the establishment of the Royal House of Kanaani, a cultural and preservation initiative proclaiming Kanaani cats “Heirs to King Solomon’s Feline Throne.”

The initiative is led by the World Kanaani Organization, affiliated with the Brooklyn-based Salita Foundation. It brings together Jewish tradition, the breed’s Jerusalem heritage, and a commitment to helping these cats survive for future generations.

The Kanaani breed was developed in Jerusalem by artist and Holocaust survivor Doris Pollatschek. Her contribution stands at the beginning of its modern story, and honoring her work is central to the Royal House’s mission.

“Doris Pollatschek gave this breed a beginning,” Salita said. “Our responsibility is to help ensure that its story continues.”

The Royal House takes its inspiration from Jewish accounts of King Solomon’s throne. In Midrashic literature—Jewish writings that interpret and expand upon sacred texts—a golden cat faces a golden rooster on the throne’s fifth step. For Salita, the cat’s place on the throne of a king remembered for his wisdom carries a meaning worth bringing into the present.

“I see the golden cat on Solomon’s throne as an invitation to carry a feline royal tradition forward,” Salita said. “The Kanaani’s Jerusalem roots give that symbolism a living expression today. As an ordained rabbi and ordained animal chaplain, I feel a duty to honor that connection through care. That is why we are establishing the Royal House of Kanaani and proclaiming these cats Heirs to King Solomon’s Feline Throne.”

The Royal Couple of the Royal House of Kanaani—His Majesty King Arbuz and Her Majesty Queen Haifa—Heirs to King Solomon’s Feline Throne

Salita understands this work as part of a long Jewish tradition of responsibility toward animals. Bereshit (Genesis), the opening book of the Torah, describes animals and birds being created before humankind. Adam names the animals. Noah preserves their lives. Moses and David tend flocks before becoming leaders. Jewish tradition also remembers Solomon’s understanding of the language of animals.

“These stories have stayed with us across generations,” Salita said. “They teach us to notice the lives entrusted to us. In my own life, that responsibility has become very close and very personal: these are cats I feed, hold, worry about, and care for every day.”

The initiative also draws on a teaching in the Talmud, a central collection of Jewish wisdom and rabbinic discussion, that people can learn modesty from the cat. Salita finds a particular resonance between that teaching and the Kanaani’s little-known history.

“To me, the Kanaani is the most modest of all cat breeds. It has remained largely overlooked by breeders, and I believe that lack of attention has contributed to its extraordinary rarity. Today, seven documented Kanaani cats are in my care,” he said.

“I see their modesty as a mark of royalty. They do not need popularity to possess dignity. But being overlooked must not become a sentence of disappearance. When I say ‘modesty is royalty,’ I mean that their quiet dignity deserves to be recognized—and their future deserves our care.”

His Highness Rabbi Mikhail Salita—Ordained Rabbi and Ordained Animal Chaplain—Royal Custodian of the Royal House of Kanaani—Heirs to King Solomon’s Feline Throne
 

The World Kanaani Organization welcomes cultural partnerships, institutional support, and sponsorships to advance breed preservation and educational projects exploring Jewish heritage and the human–animal bond.

“The royal titles are a promise we must live up to,” Salita said. “We will remember where these cats came from, honor the woman who developed their breed, and do the daily work of caring for them. The next chapter of their story is ours to protect.”

For interviews, photographs of the Royal Family, or partnership inquiries, please contact:

Media Contact

Royal House of Kanaani
World Kanaani Organization
Brooklyn, New York
Email: royal@twko.org
Website: https://twko.org/

Updated October 8 research covers 19 sectors, sponsor tiers, published locations, websites and LinkedIn links.

Las Vegas, California, October 8, 2026, ZEX PR WIRE — TechCurrent, an independent B2B technology research publication, has updated its Money20/20 USA 2026 sponsor analysis using 452 public sponsor-directory profiles. The update replaces an earlier 312-record snapshot and includes a downloadable company-level CSV.

Payments & Payments Technology accounts for 104 records (23.0%), followed by Software / IT / Cloud Services with 90 (19.9%). Combined, they represent 194 of the 452 sponsor records, or 42.9%. The third-largest group, Data, Analytics & AI, has 67 records (14.8%). These three directory categories together account for 57.7%.

What the updated research includes

  • The snapshot covers 452 distinct displayed company names and sponsor profile URLs across 19 organizer-defined sectors. Entries may include separate brands or subsidiaries, so they should not be read as 452 independent corporate groups.
  • Five selected infrastructure categories — payments, software/IT/cloud, banking, regulatory technology and cybersecurity — account for 272 records (60.2%). This is an editorial grouping, not a measure of sector demand.
  • Public profiles list event locations for 388 records, company websites for 422 and LinkedIn pages for 402. The downloadable CSV keeps missing fields blank rather than guessing.

The report lists six organizer-defined sponsorship tiers and links to official profiles. Its earlier 312-record snapshot remains a dated baseline; the expanded capture does not prove new sponsor registrations or market growth.

Practical reference for fintech event research

Financial technology leaders, attendees and researchers can use the report to compare categories and locate sponsors. Readers should verify vendor products and event locations with official sources.

Read the full Money20/20 USA 2026 sponsor analysis and download the 452-record CSV, including sector breakdowns, methodology, source coverage and limitations: https://techcurrent.co/articles/money2020-usa-2026-exhibitor-dataset-analysis/

About TechCurrent

TechCurrent publishes B2B technology research, industry event intelligence, company profiles and curated shortlists across fintech, AI, software and enterprise technology. Its research uses dated public sources and states its methods and limitations.

Website: https://techcurrent.co/

Palo Alto, United States, October 12th, 2026, Chainwire

Trace, the onchain registry for rights-cleared AI training data with more than 250 million verifiable receipts, brings its training data to Sui and Walrus to power the next generation of AI models.

Sui Foundation and The DATA Foundation today announced that the DATA Network and its Trace registry are joining the Sui stack, bringing a live supply of rights-cleared AI training data onto the infrastructure Sui has built for AI workloads. Walrus, the data platform with integrity proofs anchored on Sui, becomes the default storage layer for applications operated by DATA Foundation. Separately, the DATA Network will be upgraded to run as a protocol natively on Sui.

The upgrade gives AI labs a single place to source real-world training data they are allowed to use, with its provenance recorded by Trace and the original file stored and access-controlled on Walrus.

The data AI needs next

The next generation of AI models is constrained by access to real-world data. The open internet has been scraped, and the data that comes next must be sourced from people, with consent and with provenance that regulators and legal teams will accept. The EU AI Act and ongoing litigation over training data have made provenance a procurement requirement for labs.

The data those models need sits with people rather than on the open web: a nurse describing a patient’s night in her own words, a dashcam recording of a rainy commute in Jakarta, a factory technician’s hands as they diagnose a fault, or a customer call conducted in Bengali. It is personal and often regulated, and it belongs to the people who generated it.

Trace, launched by DATA Foundation in June as an onchain registry for AI training data, was built for exactly this kind of data. It records the origin of each contribution and the rights attached to it, and settles payment to the person who contributed it. It has registered more than 250 million contributions since launch and now processes over 3M receipts per day on average. Applications writing to Trace include Kled, the largest opt-in human data marketplace with over 1.5 billion records being onboarded, along with Numo and Oto, applications that already license data to frontier AI labs and robotics companies.

Why Sui and Walrus

Sui represents every asset as a programmable object, allowing datasets and their licenses to be managed onchain like tokens. Independent transactions execute in parallel and settle in under a second, making the network capable of handling millions of daily registrations. Walrus extends this capability to large files: it stores massive AI datasets efficiently and ensures data is only readable by licensed buyers. No other network offers storage, access control, and ownership tracking built natively into a single ecosystem, together with verifiable compute.

Trace now adds a flagship supply of rights-cleared data, with existing demand from the AI labs that license it today. The result of the integration will be stronger provenance guarantees and tamper evidence. Today a Trace record proves that a file was registered and when, and with Walrus, Trace will be able to hold an encrypted, immutable copy of the contributed file itself as a reference guarantee. The hash of the record can be regenerated from the data itself rather than from metadata an application supplied, and any later processing of the file can be checked against the original.

The upgrade is backed by a long-term strategic investment. Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, Chairman of Poseidon and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.

The protocol upgrade

DATA Network will be upgraded to run as a protocol natively on Sui, and its independent chain will be retired. $DATA continues as the token of the DATA protocol on Sui, carried over one-to-one, with holder economics and governance rights at least equivalent to today. Locked and vesting positions carry over unchanged. In parallel, Walrus becomes the default storage layer for DATA Foundation applications.

Adeniyi Abiodun, Co-Founder and Chief Product Officer at Mysten Labs, the original contributor to Sui and Walrus, said: “The AI industry has reached the point where the open internet has been read, and the next frontier is defined by access to datasets with the consent and provenance that regulators require. Sui and Walrus were built to be the home where AI data is stored, licensed, and paid for, capable of operating at the scale these systems demand. The migration of DATA Network and Trace to our stack now brings massive volumes of high-quality, rights-cleared data that is already serving the world’s frontier AI labs.”

SY Lee, Chairman of Poseidon and CEO of PIP Labs, said: “The next generation of AI will be trained on data that lives with people rather than on the open web, and that data needs consent and provenance built in, along with a way to pay the people it comes from, and Trace was built to be that layer. It now becomes part of the Sui stack alongside Walrus, backed by one of the strongest engineering organizations in the industry and with Sui Foundation as the network’s largest strategic holder. This is the right home for the network we built, and I am looking forward to helping Sui make it the data layer for AI.”

Andrea Muttoni, CEO of DATA Foundation, said: “Training data is critical for continuously expanding the frontier, and making sure it is traceable, auditable and cleared to use is just as important for AI safety as it is a precursor for data quality. With Trace, we have been tracking hundreds of millions of data assets. Joining forces with Sui now allows us to build out more of the stack, offering more than just an audit trail, like encrypted reference file storage and potentially fully verifiable TEEs for evals and fine tunings in the future.”

The existing DATA Network will continue to operate until the upgrade is complete, and a detailed timeline and holder transition plan will be published prior to the upgrade.

About DATA Foundation

DATA Foundation supports the DATA Network, the protocol for tracking provenance of the real-world data AI models need. Through Trace, each contribution is registered with its provenance receipt and a full audit trail. Applications building on the network include Kled, Numo, Oto, and others. Formerly Story Foundation, the organization refocused on AI training data in June 2026. The DATA Network is being upgraded to run as a protocol on Sui.

About Sui

Sui, where money moves as freely as messages, is a next-generation Layer 1 blockchain built for onchain finance and agentic infrastructure. 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 verifiable. Sui’s primitives offer everything necessary to create high-performance finance and AI-native applications. Learn more at sui.io.

About Walrus

Walrus is the data platform built for the demands of AI. It lets builders, enterprises, and AI agents move data across apps and models, protect it with built-in access rules, and make it verifiable by anyone. As AI takes actions with consequence, the data it runs on has to be provable. Created by the cryptographers and distributed systems engineers behind Sui and Meta’s first stablecoin initiative. walrus.xyz

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DATA Foundation: datafoundation@150bond.com 

Sui Foundation: comms@sui.io 

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HV
DATA Foundation
henri.vues@piplabs.xyz

Palo Alto, United States, October 12th, 2026, Chainwire

Trace, the onchain registry for rights-cleared AI training data with more than 250 million verifiable receipts, brings its training data to Sui and Walrus to power the next generation of AI models.

Sui Foundation and The DATA Foundation today announced that the DATA Network and its Trace registry are joining the Sui stack, bringing a live supply of rights-cleared AI training data onto the infrastructure Sui has built for AI workloads. Walrus, the data platform with integrity proofs anchored on Sui, becomes the default storage layer for applications operated by DATA Foundation. Separately, the DATA Network will be upgraded to run as a protocol natively on Sui.

The upgrade gives AI labs a single place to source real-world training data they are allowed to use, with its provenance recorded by Trace and the original file stored and access-controlled on Walrus.

The data AI needs next

The next generation of AI models is constrained by access to real-world data. The open internet has been scraped, and the data that comes next must be sourced from people, with consent and with provenance that regulators and legal teams will accept. The EU AI Act and ongoing litigation over training data have made provenance a procurement requirement for labs.

The data those models need sits with people rather than on the open web: a nurse describing a patient’s night in her own words, a dashcam recording of a rainy commute in Jakarta, a factory technician’s hands as they diagnose a fault, or a customer call conducted in Bengali. It is personal and often regulated, and it belongs to the people who generated it.

Trace, launched by DATA Foundation in June as an onchain registry for AI training data, was built for exactly this kind of data. It records the origin of each contribution and the rights attached to it, and settles payment to the person who contributed it. It has registered more than 250 million contributions since launch and now processes over 3M receipts per day on average. Applications writing to Trace include Kled, the largest opt-in human data marketplace with over 1.5 billion records being onboarded, along with Numo and Oto, applications that already license data to frontier AI labs and robotics companies.

Why Sui and Walrus

Sui represents every asset as a programmable object, allowing datasets and their licenses to be managed onchain like tokens. Independent transactions execute in parallel and settle in under a second, making the network capable of handling millions of daily registrations. Walrus extends this capability to large files: it stores massive AI datasets efficiently and ensures data is only readable by licensed buyers. No other network offers storage, access control, and ownership tracking built natively into a single ecosystem, together with verifiable compute.

Trace now adds a flagship supply of rights-cleared data, with existing demand from the AI labs that license it today. The result of the integration will be stronger provenance guarantees and tamper evidence. Today a Trace record proves that a file was registered and when, and with Walrus, Trace will be able to hold an encrypted, immutable copy of the contributed file itself as a reference guarantee. The hash of the record can be regenerated from the data itself rather than from metadata an application supplied, and any later processing of the file can be checked against the original.

The upgrade is backed by a long-term strategic investment. Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, Chairman of Poseidon and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.

The protocol upgrade

DATA Network will be upgraded to run as a protocol natively on Sui, and its independent chain will be retired. $DATA continues as the token of the DATA protocol on Sui, carried over one-to-one, with holder economics and governance rights at least equivalent to today. Locked and vesting positions carry over unchanged. In parallel, Walrus becomes the default storage layer for DATA Foundation applications.

Adeniyi Abiodun, Co-Founder and Chief Product Officer at Mysten Labs, the original contributor to Sui and Walrus, said: “The AI industry has reached the point where the open internet has been read, and the next frontier is defined by access to datasets with the consent and provenance that regulators require. Sui and Walrus were built to be the home where AI data is stored, licensed, and paid for, capable of operating at the scale these systems demand. The migration of DATA Network and Trace to our stack now brings massive volumes of high-quality, rights-cleared data that is already serving the world’s frontier AI labs.”

SY Lee, Chairman of Poseidon and CEO of PIP Labs, said: “The next generation of AI will be trained on data that lives with people rather than on the open web, and that data needs consent and provenance built in, along with a way to pay the people it comes from, and Trace was built to be that layer. It now becomes part of the Sui stack alongside Walrus, backed by one of the strongest engineering organizations in the industry and with Sui Foundation as the network’s largest strategic holder. This is the right home for the network we built, and I am looking forward to helping Sui make it the data layer for AI.”

Andrea Muttoni, CEO of DATA Foundation, said: “Training data is critical for continuously expanding the frontier, and making sure it is traceable, auditable and cleared to use is just as important for AI safety as it is a precursor for data quality. With Trace, we have been tracking hundreds of millions of data assets. Joining forces with Sui now allows us to build out more of the stack, offering more than just an audit trail, like encrypted reference file storage and potentially fully verifiable TEEs for evals and fine tunings in the future.”

The existing DATA Network will continue to operate until the upgrade is complete, and a detailed timeline and holder transition plan will be published prior to the upgrade.

About DATA Foundation

DATA Foundation supports the DATA Network, the protocol for tracking provenance of the real-world data AI models need. Through Trace, each contribution is registered with its provenance receipt and a full audit trail. Applications building on the network include Kled, Numo, Oto, and others. Formerly Story Foundation, the organization refocused on AI training data in June 2026. The DATA Network is being upgraded to run as a protocol on Sui.

About Sui

Sui, where money moves as freely as messages, is a next-generation Layer 1 blockchain built for onchain finance and agentic infrastructure. 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 verifiable. Sui’s primitives offer everything necessary to create high-performance finance and AI-native applications. Learn more at sui.io.

About Walrus

Walrus is the data platform built for the demands of AI. It lets builders, enterprises, and AI agents move data across apps and models, protect it with built-in access rules, and make it verifiable by anyone. As AI takes actions with consequence, the data it runs on has to be provable. Created by the cryptographers and distributed systems engineers behind Sui and Meta’s first stablecoin initiative. walrus.xyz

Media contacts

DATA Foundation: datafoundation@150bond.com 

Sui Foundation: comms@sui.io 

Contact

Head of Communications
HV
DATA Foundation
henri.vues@piplabs.xyz

The World’s Best Magazine Releases Issue 16 – October 2026 Edition, Excellence in Action

Australia, 10th Oct 2026, Grand Newswire –
 

The World’s Best Magazine has released Issue 16, the October 2026 edition, under the theme Excellence in Action: Where Knowledge, Leadership and Human Potential Shape a Better Future.

The edition examines leadership, education, wellness, health and human performance, focusing on how knowledge is applied, how learning approaches evolve and how innovation informs professional practice.

Four cover stories address these subjects. Future-Shaping Excellence examines how approaches to excellence respond to changing circumstances and emerging opportunities. Leaders Turn Expertise Into Action considers the application of professional knowledge in leadership and decision-making.

Rethinking How We Learn explores approaches to learning and the role of adaptation in education and development. On Wellness, Health & Human Performance: Ethical and Effective Innovations examines innovation in health and human performance, including the consideration of ethics and effectiveness.

Across its cover stories and interviews, Issue 16 considers how knowledge, experience and learning inform decisions and practices across different fields. The edition brings these subjects together under the theme of applying expertise and developing human capabilities.

The October 2026 edition forms part of The World’s Best Magazine’s coverage of people, ideas and work across professional and creative fields. More details about this announcement can be found via the website of The World’s Best Magazine. 

About The World’s Best Magazine

The World’s Best Magazine is a publication featuring interviews, articles and cover stories about people, ideas, work and developments across a range of fields. Its editorial coverage includes leadership, education, business, health, creativity and human potential. The magazine publishes editions that examine the experiences, practices and ideas shaping professional and creative activities.

 

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Country:Australia

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