This Intelligent AI OS Is Removing the Barrier to Entry for Building AI Apps

The Spatial Web and the Era of AI - Part 3

Moving From Smart Phone Apps to Smart AI Apps

AI development is expensive, and even though open-source foundation AI models are available to anyone, it takes a considerable amount of time, about 2 years, to train the model by feeding it enough big data before you can begin to expect acceptable results.

What if there was an opportunity to easily build an intelligent AI app using a developer kit that would provide you with unlimited creative opportunities and use cases for the implementation without the enormous cost of both time and money?

That’s exactly what VERSES Technologies has created.

VERSES Technologies is a next-gen AI company, developing a type of artificial intelligence that eclipses the capabilities of current machine learning/deep learning AI technology, through an artificial intelligence method called, Active Inference AI, which mimics the activity of biological organisms and how the human brain operates.

VERSES has created an operating system called, KOSM™, in which any developer can build an intelligent “Smart App” on top of it, enabling democratized AI app development… Think Apple App Store for artificial intelligence.

But Wait… There's a HUGE Difference.

Today, the apps within the Apple App Store are completely unaware of each other. They are siloed applications built individually for singular purposes like banking, entertainment, shopping, your calendar, maps, games, etc…

In the VERSES KOSM™ OS, the ‘Smart Apps’ are networked together within an intelligence knowledge graph, providing exponentially extended opportunities for building applications that can truly augment our existence within our real world, as well as any virtual space.

VERSES calls these individual apps, KOSMs™, and refers to them as “Intelligent Agents” or “IAs”, creating a network of distributed intelligence that enables each intelligent app to self-optimize and evolve in knowledge, updating in real-time, as circumstances, relationships, and states of altering continually change over the passing of time, enabling contextual awareness within the computing power, something that is not possible with any other current AI systems.

The difference is astounding. If a machine model/deep learning AI is like a power tool, then Active Inference with KOSM™ IAs are like the human.

The massive difference that sets VERSES KOSM™ apart from these deep learning models like Open AI’s ChatGPT, is that these current machine models are based on tech breakthroughs in neural nets from 10+ years ago, and that old technology has some severe limitations.

Besides the cost, time, and enormous amount of data involved to train the AI deep learning models, the datasets used to train them are flawed and become outdated as soon as the training has been completed.

Plus, the only datasets that are available to train them with, are whatever information is ‘publicly’ accessible. That does not include 90% of all data that is locked away behind privacy walls through passwords. This is a big problem when you live in an information-reliant society.

If you asked ChatGPT about any current news or information, it would not be able to give you an accurate answer. As of the writing of this article, its answers are already 1.5 years outdated.

Likewise, if you wanted to build a specific AI tool like ChatGPT to enable beneficial or useful functionality within an enterprise organization or other entity that relies on privately held data, you would need to start from scratch and invest an enormous amount of time and money to achieve it yourself.

KOSM™ Changes All of This

“It’s as if we cracked the code on the synapses between data. Essentially, the relationships between data are what knowledge is.” — Gabriel Rene, CEO of VERSES Technologies and Chairman of the Spatial Web Foundation

Due to the Active Inference AI methodology inherent in the KOSM™ OS, these “Intelligent Agents” do not rely on Big Data. They do not need enormous amounts of data to refine their ability to perform.

They rely on something much more profound, deliberate, and precise than pattern-matching ability.

Intelligent Data Requires Context

Interoperable Mapping and Identification — between humans, machines, and objects.

KOSM™ “IAs” achieve their intelligence through computable context.

KOSM™ “Intelligent Agents” understand the physical world in the same way humans do by translating and mapping the states of being as well as the who, what, when, where, how, and why of every person, place, or thing from the physical world into the virtual world of digital twins and spatial environments.

This level of programmable context allows for objective meaning to be attached to every entity, and the relationship between entities, in any space over time.

This means that even small amounts of data can be made smart and built upon to increase understanding and knowledge. No more need for big data model training.

KOSM™, constructed upon the open standard Spatial Web Protocol, HSTP (Hyperspace Transaction Protocol), and its formatting language, HSML (Hyperspace Modeling Language), enables a system in which context informs the KOSM™ AI organism, providing the “Intelligent Agents” with detailed information regarding states of being, traits, permissions, authority, and more.

The KOSM™ Nuts and Bolts

VERSES KOSM™ OS is built to address three distinct challenges facing an interoperable and intelligent Network of Everything between humans, objects, machines, and all the disparate Web 3.0 and XR technologies, various hardware, and all data systems.

These complexities can be broken down into three categories — spatial, knowledge, and operational.

• · Spatial challenge — KOSM™ is structured by defining 3D Spatial Domains and Sub-Domains, like rooms, buildings, and cities, according to a holonic architecture that allows for observed hierarchies regarding rules and policy for interaction between spaces, governing who can access, modify, or interact/ transact within that space.

• · Knowledge challenge — HSTP (Hyperspace Transaction Protocol) provides for the query and governance between these spaces, while HSML (Hyperspace Modeling Language) programs the context to inform the governance, enabling the adaptive intelligence at scale. These programmable conditions include information such as the:

  
  

• [ ]Who and what of the Domain, ie.., people, places, and things

• [ ]Boundaries of a Space, like a measurement, volume, or spectrums

• [ ]Credentials, i.e., who has permission to access

• [ ]Activity, i.e., recorded situational changes

• [ ]

  Channels, like collections of spaces, properties, assets, ideas, etc…

  
  

• · Operational challenge — Integrating the “flow’ of information across all entities in any/every space.

  
  

The VERSES KOSM™ Operating System incorporates five “Flow” modules to address all of these requirements while deploying the KOSM™ “Intelligent Agent” applications, seamlessly handling resource requirements.

VERSES describes these “Flow” modules as follows:

1. “IO-Flow (Communication): Interface agent. Manage connected devices to publish sensor data and instruct machines and humans to perform tasks;”

   
   

2. “Data-Flow (Interoperability): Context mapping. Normalize and correlate data from disparate systems into a unified coherent HSML Context Graph™;”

   
   

3. “Domain-Flow (Trust): Rule configuration. Define the policies, permissions, and credentials that govern the interactions of all actors on the Spatial Web;”

   
   

4. “Sim-Flow (Adaptability): Goal simulation. Simulate goal-based optimizations based on requirements or restrictions and recommend tasks to achieve ideal states;”

   
   

5. “Work-Flow (Execution): Task engine. Delegate optimization tasks to a connected workforce of humans, autonomous vehicles, and bots.”

   
   

These implementations enable a system of self-optimization, resulting in adaptive intelligence by and between all entities within the network, satisfying VERSES five core requirements:

1. “Communication: a common query language in which to interface”

   
   

2. “Interoperability: a common data model in which to map context”

   
   

3. “Trust: verifiable data lineage, credentials, and governance”

   
   

4. “Adaptability: flexible logic to simulate and adjust”

   
   

5. “Execution: ability to orchestrate tasks and resources”

   
   

VERSES summarizes their KOSM™ OS solution as:

“Geometry + Geography + AI-based Governance”

From Augmenting Our Ideas to Augmenting Our World

Large Language Models (LLMs) like ChatGPT, and Image Generative Models like DALL.E or MidJourney, have enabled humans to augment our ideas. Type in a prompt, and these models will output an image representing an idea that previously only existed inside of your mind.

Ask a question, provide a few details, and get a direct answer or even an entire customized report, essay, or original story.

These are all very powerful creation tools that augment our thinking and creativity with the ability to create content with increased efficiency, significantly reducing the time it would have taken to produce similar results on our own.

However, the KOSM™ platform goes much further than that. It networks multi-dimensional spaces together with all IOT devices, humans, objects, and machines, introducing and enabling a programmable network of nested “IA’s” (Intelligent Agents), capable of augmenting our entire world.

Beyond mere thoughts and ideas, every physical and digital interaction across every data point, including all of the relationships and meanings in between, are now computable and measurable, forming intelligent connections, drawing insights, and creating opportunities for efficiencies that were never possible until now.

Augmented Reality is upon us, and the VERSES KOSM™ OS platform is swinging the doors wide open, granting equal access to all by ushering in massive development opportunities within the artificial intelligence space.

Want to be considered for early access?

The KOSM™ SDK is slated to roll out in beta waves to select developers in Q3 of this year, with an expected public launch in Q4.

Click here to register for your chance to be included.

This is Part 3 of a three-part series entitled, The Spatial Web and the Era of AI.

Missed Part 1? Check it out here.

To learn more about the Spatial Web Protocol and the evolution of Web 3.0, visit SpatialWebFoundation.org

Photo by DeepMind on Unsplash