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Platon Aims To Become The Public Infrastructute Of Privacy Computing To Open Up Business Prospects For The Crypto Space

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5 years ago

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In the Information Age, Data Becomes a New Factor of Productivity

In economics, factors of production, also known as production inputs, are essential resources for the production of goods and services. In his epochal work “Principles of Economics”, famous British economist Marshall put forward the theory of four factors of production — land, labor, capital and entrepreneurial talent. National income (NI) is the reward of four factors, and that is, national income (NI) = labor wage (w) + land rent (r) + capital interest (i) + operating profit (π). This “four-in-one formula” sums up the core of western economic production theory and distribution theory, which has been widely accepted for more than a century.

However, factors of production are a historical category that evolves with the development of economy and society. The birth and development of the Internet has changed the mode of production, life and consumption, and it promoted many important and profound changes, and played an increasingly important role in economic development, social life and national governance. The full exploitation and effective utilization of all kinds of data has raised production efficiency to an unprecedented level. Data has become an indispensable factor in economic activities and a new generation of production factors after land, energy, population and food.

Table – Production Factors at Different Stages

Privacy Brings Data Dilemma and MPC Realizes Data Collaborative Computing

Nowadays, people have already extended their social activities to the network space. Every day, people contribute data continuously to the network space. A large amount of data is collected, calculated, analyzed, excavated and this goes beyond the original data level of information value.

However, because of the plain text nature of the data, the owner loses ownership of the data once the data is granted to others for use. Therefore, to ensure the privacy protection of data, a huge amount of data managed by enterprises cannot be exchanged and co-calculated with the data held by other enterprises, which is why a large number of data cannot generate value.

The emergence of privacy computing ends this dilemma. Yao Qizhi, a member of the Chinese National Academy of Sciences, proposed secure multi-party computing (MPC) in 1982. In a nutshell, participants have to enter information to calculate an agreed function. In addition to the accuracy of the calculations, they must also protect the privacy of each participant’s input data. Specifically, there are now n participants, each of whom, xi, is aware of the xi they entered, who together calculate a pre-agreed function f (x1 ,…, xn) = y. In this way, all participants will get the final y value, but they will not be able to know the specific data entered by the other participants. Thus, with local data not aggregated and privacy not divulged, each party can still achieve a common desired result by performing the operations of the given logic.

Privacy computing opens up huge business prospects for the digital world (Crypto Space)

Bitcoin’s pioneering combination of virtual currencies and peer-to-peer payment systems open the door to decentralization. With the introduction of intelligent contract function, Ethernet has greatly improved the scalability of blockchain, and all kinds of applications can be deployed on blockchain. Because of these characteristics, early public blockchain networks such as Bitcoin and Ethernet have been developed, attracting a large number of blockchain and encryption enthusiasts in the world, and many traditional institutions have been entering the area of blockchain, exploring various possibilities of decentralization.

The combination of privacy computing and blockchain is expected to put data ownership back in the hands of data producers, meaning that vast amounts of data can be counted without affecting privacy and ownership, so that the owners can profit and data can burst out with greater value. Therefore, the blockchain project based on privacy calculation is naturally suitable for the commercial practice in the fields of financial, medical, scientific research, government affairs, and logistics and so on.

“Operator” PlatON network for blockchain data

PlatON, the representative project of the combination of privacy computing and blockchain currently, is based on the basic attribute of blockchain and is supported by privacy computing network, and provides the next generation Internet infrastructure protocol with the core characteristics of “computing interoperation”. PlatON’s vision is to become the public infrastructure for privacy computing of the next generation, publishing privacy computing algorithms through contracts, and implementing MPC protocols with data providers and computing nodes for privacy protection requirements, so as to realize cooperative computing of data. PlatON, designed to price data flows, is all about computing and data, which is the most fundamental part of future human production. PlatON can achieve large-scale application landing and commercial scenario implementation:

For example:

I. Build a wider credit collection network. The public chain that provides private computing can provide user with customizable computing logic template and multi-party access mode, and in the case that the access party’s data does not need to be collected and shared, only the credit inquiry results are output to the demander, and the original data can be encrypted and stored in the blockchain system to meet all kinds of audit needs.

II. Supply chain financial infrastructure. The public chain of private computing is based on blockchain technology and cryptography algorithm, which can provide a platform solution for supply chain finance to digitally identify, process and transfer assets. Construct a new financial financing model of supply chain in which the information of the upstream and downstream enterprises can be shared symmetrically, the credit value of the core enterprises can be transmitted, the business tickets can be split and the risk can be controlled, and provide convenient data traceability for the supervision and enhance the service efficiency of the industry as a whole.

To build the public infrastructure for the digital age, PlatON continuously optimizes technology, iterates the underlying infrastructure, and breaks through the “impossible triangle” in terms of performance. “Impossible triangle” means that it is difficult to achieve both a good “decentralization” and a good “security” of the system in a blockchain and a high “transaction processing performance” at the same time. The most well-known blockchain projects in the industry are Bitcoin, Ethernet, and EOS. At present, using native Token transfer performance test method and EOS under the same testing conditions, PlatON has achieved a comprehensive performance leader in the quasi-real environment, and will continue to focus on the data field and accelerate the construction of data market.

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Alex Jacob

Alex Jacob is a literature author. He was born in Chicago. Alex passion is writing news articles. He writes number of articles and published it.

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Press Release

The Franchise King Releases New Guide to Using AI for Franchise Research and Franchise Buying

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10 minutes ago

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September 29, 2026

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New digital guide shows franchise buyers how to correctly use AI for due diligence, with 52 prompts along with warnings about where AI franchise research can go wrong.

United States, 29th Sep 2026  — Joel Libava, known as The Franchise King®, today announced the release of “The Franchise Buyer’s AI Playbook,” a digital guide that gives prospective franchise buyers 52 ready-to-use AI prompts for researching and vetting a franchise opportunity, paired with direct warnings about where AI tools can mislead them.

Franchise buyers are already using ChatGPT, Claude, and Gemini to research potential opportunities, often without realizing where those tools fall short. AI can organize research and translate legal language quickly. It cannot verify a franchisor’s financial health, sit in on a validation call, or interpret a franchise agreement with legal authority. Libava’s guide is built around that distinction.

“People are already asking AI whether they should buy a franchise, and getting confident-sounding answers back,” said Libava. “The problem isn’t that AI is useless here. It’s that nobody’s told buyers exactly where it can quietly get them hurt. That’s the entire reason this guide exists.”

The guide organizes its 52 prompts around the real buyer journey: 13 prompts for finding a franchise that actually fits a buyer’s money, skills, and schedule; 26 prompts for researching a specific opportunity, including how to interrogate a franchise’s financial performance disclosures instead of accepting a misleading average; and 13 prompts for making a final decision without being pushed by sales pressure or sunk-cost thinking.

“Anyone can hand you a list of prompts,” said Joel Libava, The Franchise King. “What I built is the research process I’ve used with buyers for 25 years. The prompts get you the answers — the workbook and 7-Day Quick-Start Plan tell you what to do with them. That’s the difference between a novelty and a real tool for franchise buyers.” Every detailed prompt includes a plain-language warning describing exactly how an AI tool’s answer can be incomplete or wrong, a feature not found in franchise content produced by parties with a financial incentive to keep a buyer moving toward a purchase.

Libava has spent more than 25 years advising franchise buyers. He is the author of two books on franchising, spent eight years as the exclusive franchise contributor to the U.S. Small Business Administration’s blog, and has been featured in The New York Times, Forbes, CNBC, and Entrepreneur.

“The Franchise Buyer’s AI Playbook” is available now for at thefranchiseking.com. It includes a full glossary of franchise terminology, a chapter addressing common franchising myths, including the assumption that AI alone can determine whether a franchise is a good investment and bonuses including helpful worksheets that will help franchise buyers organize the information they’ve collected.

For more information, or to request a review copy or interview with Joel Libava, contact: Joel Libava

Phone: 216-831-2610

Email: Joel@thefranchiseking.com  

Website: https://www.thefranchiseking.com   

https://www.thefranchiseking.com/the-franchise-buyers-ai-playbook 

Media Contact

Organization: Franchise Selection Specialists Inc.

Contact Person: Joel Libava

Website: https://www.thefranchiseking.com

Email: Send Email

Country: United States

Release id: 49516

The post The Franchise King Releases New Guide to Using AI for Franchise Research and Franchise Buying appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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Press Release

Bake3D Introduces AI-Powered 3D Character Generation, Rigging and Animation for Digital Creators

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10 minutes ago

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September 29, 2026

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United States, 29th Sep 2026 — Bake3D Inc. is advancing AI-assisted 3D content creation with Bake3D, a platform designed to help creators transform images into textured 3D models, generate character rigs, and produce animations for use in games, films, cartoons, and other digital projects. By bringing several stages of character production into one workflow, the platform aims to make 3D asset creation more accessible to independent creators, studios, developers, and AI-driven production teams.

Available at Bake3D.ai, the platform allows users to start with a drawing, rendered image, or photograph and turn the subject into a 3D model. Users can then inspect the generated geometry, create a suitable rig, describe a movement, and export the resulting asset for use in supported 3D editors and game development environments.

A Unified Workflow for 3D Characters and Animation

Traditional 3D character production can involve several stages, including modeling, texturing, rigging, and animation. Bake3D brings these tasks together in a guided workflow, allowing creators to move from a still image toward a rigged and animated asset.

The platform generates textured 3D geometry from visual references and provides tools for planning joints and skin weights. Users can inspect the generated model and rig before proceeding, helping them identify areas that may require refinement. They can also describe a desired action or select a compatible motion to bring their creations to life.

This approach is designed to support different production needs while giving users opportunities to review and improve generated results before incorporating them into larger projects.

Supporting More Than Human Characters

Bake3D is designed to work with a broad range of subjects rather than relying exclusively on standard humanoid characters. Its workflow supports people, animals, winged creatures, aquatic life, serpentine forms, robots, vehicles, mechanical assemblies, and other unusual or hybrid objects.

This flexibility may be useful for game developers building distinctive characters, animators creating fictional creatures, and filmmakers developing assets for imaginative digital environments. By accommodating different body structures and moving components, Bake3D offers creators a workflow for exploring subjects that can be challenging to rig using conventional character templates.

The quality of generated models and rigs depends on the source images and geometry, and users are encouraged to inspect results before using them in production.

Integration With Existing Creative Tools and AI Workflows

Bake3D is designed to complement existing production environments rather than replace the software used to assemble complete games, films, or interactive experiences. Generated assets can be exported in supported formats, including GLB and FBX, for use in compatible workflows.

The platform also provides an application programming interface (API), enabling developers to initiate generation jobs, check their status, and request asset exports programmatically. This capability creates opportunities to incorporate 3D asset generation into automated pipelines, custom applications, and workflows involving AI agents.

For development teams exploring AI-assisted production, programmatic access can help connect asset creation with other stages of a project, subject to the requirements and compatibility of the tools involved.

Expanding Access to 3D Content Creation

Through Bake3D, Bake3D Inc. aims to give creators a practical way to move from visual ideas to usable 3D assets and animation. The platform brings image-based generation, rigging, motion creation, and export capabilities into a connected process, offering an additional option for individuals and teams working across gaming, animation, filmmaking, and digital content production.

As AI-assisted creative tools continue to develop, Bake3D provides a workflow for creators seeking to incorporate generated 3D characters and animated assets into their existing production processes.

For more information, visit https://bake3d.ai/.

Media Contact:
Marcus Garcia
Bake3D Inc.
Email: hello@bake3d.ai
Location: Delaware, United States

About Bake3D Inc.

Bake3D Inc. is a Delaware-based technology company developing Bake3D, an AI-powered platform for 3D model generation, character rigging, and animation. The platform helps creators transform visual references into 3D assets and prepare them for use in compatible game development, animation, and digital production workflows. Learn more at https://bake3d.ai/.

Media Contact

Organization: Bake3D Inc.

Contact Person: Marcus Garcia

Website: https://bake3d.ai/

Email: Send Email

Country: United States

Release id: 49519

The post Bake3D Introduces AI-Powered 3D Character Generation, Rigging and Animation for Digital Creators appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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Press Release

Social Retrieving Emerges as a Reliable Service for Recovering Social Media Accounts

Published

25 minutes ago

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September 29, 2026

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Social Retrieving offers social media account recovery services, including Instagram and Facebook.

Miami, Florida, United States, 29th Sep 2026 – Social media accounts have become an important part of how individuals, creators, entrepreneurs, and businesses communicate with their audiences. When an account is hacked, disabled, locked, or otherwise inaccessible, recovering access can become a complicated and time-consuming process. Social Retrieving has emerged as a specialized service focused on helping users navigate social media account recovery.

Founded to assist users dealing with difficult account-access issues, Social Retrieving provides account recovery assistance for platforms including Instagram and Facebook. The company works with clients experiencing issues such as hacked accounts, compromised credentials, disabled accounts, lost access, changed account information, and unsuccessful platform recovery attempts.

“Social media account recovery can be frustrating, particularly when standard recovery options do not resolve the issue,” said James, Account Manager at Social Retrieving. “Our role is to help clients navigate the recovery process, organize the relevant information, and pursue the available recovery channels for their particular situation.”

A Specialized Approach to Social Media Account Recovery

Social Retrieving takes a case-by-case approach to account recovery. Rather than treating every account issue the same way, the company first evaluates the circumstances surrounding an account before determining whether it is suitable for its recovery assistance service.

Depending on the circumstances, clients may receive assistance with documenting their account situation, preparing relevant information, navigating available recovery procedures, and pursuing appropriate escalation routes.

The company emphasizes that clients do not need to provide their social media passwords or two-factor authentication codes to Social Retrieving. Account owners should only provide information they are comfortable sharing and should maintain control of their personal credentials.

Helping Users Navigate Difficult Instagram and Facebook Recovery Cases

Instagram and Facebook account recovery can involve different circumstances and recovery procedures. Users may encounter automated verification, identity confirmation, disabled-account notices, compromised account information, or recovery links that no longer work.

Social Retrieving focuses on helping clients navigate these situations while maintaining realistic expectations about the recovery process.

Because social media platforms ultimately determine whether an account can be restored, no legitimate third-party recovery service can guarantee that a platform will return an account. Social Retrieving instead provides recovery assistance based on the individual circumstances of each case.

Building Trust Through Transparency

Social Retrieving states that transparency is an important part of its client process. The company provides clients with information regarding its service, pricing, expected timelines, and applicable terms before work begins.

The company also maintains case documentation throughout its recovery process and can provide clients with information regarding work performed on their case.

With the continued growth of social media as a business and communication tool, account-access problems can have significant consequences. Social Retrieving aims to provide users with an organized alternative to repeatedly navigating complicated recovery procedures on their own.

About Social Retrieving

Social Retrieving is a social media account recovery assistance company based in Miami, Florida. The company specializes in assisting individuals, creators, businesses, and organizations with difficult Instagram and Facebook account recovery situations.

Social Retrieving provides assistance for account-related issues including hacked accounts, disabled accounts, lost access, compromised account information, and other social media recovery challenges.

For more information about Social Retrieving and its account recovery services, visit Social Retrieving online.

Media Contact

Organization: Social Retrieving

Contact Person: Sarah M.

Website: https://www.socialretrieving.com

Email: Send Email

City: Miami

State: Florida

Country: United States

Release id: 49517

The post Social Retrieving Emerges as a Reliable Service for Recovering Social Media Accounts appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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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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