In the global technology market, we are operating in a competitive innovate landscape. We have to continuously innovate, improve, adjust, and invent. This industry is not a social club and do not tolerate cliques and Boule stuff like the Blavity AfroTech nonsense.

Earlier, I mentioned in an article that these “Black in Tech” phony characters will not make it and they will be shut down hard and fast. You look at them and they are attention-seekers, trying to make a name of themselves by name-dropping. The main reason is simple – goofy cats in that Blavity AfroTech clique circle are not in a continuous improvement loop and just trying to look important.

The secondary reason is artificial intelligence is in a continuous improvement loop by design and become more advanced faster and faster than Moore’s Law even conceived. When folks spend their time trying to be seen by people hoping to be admired, real ones are training AI models with their data sets and getting better and better by the day.

In 2024, that is what we have been quietly doing – we have trained two models that we will officially announce in our upcoming Discord premier. Many of you are simply not ready for this and most of them especially in that AfroTech clique nonsense will know their goofy game is all up from the next paragraphs.

The Role of AI in Infrastructure

We are currently in a new paradigm where information infrastructure incorporate AI in the design. You are seeing the major companies introduce AI such as CoPilot, Gemini, and Apple Intelligence. The advent of AI is changing the landscape of the products and services we are offering.

Let’s discuss the diagram to give a high-level understanding of the new paradigm:

Web/App. These are desktop software, web sites, mobile apps, console apps, IoT that a user interface with. These apps are not monoliths where they have a UX layer, business layer, and data layer within a software package. The apps are mostly thin or hybrid and calling APIs and other services connected to a network.

API. This layer is where the business logic is stored and the software calls the API to make a request and receive a response.  Toshikiso is an API layer where you can call over 750+ interfaces to perform tasks such as write to a blockchain, save and retrieve media, place items into a digital shopping cart. Some APIs are known as microservices that specialized in a single domain such as a Payment Microservice that handles only payment transactions.

Data. This layer is where data is stored by the API. The data is mostly a database backend that can be a SQL based or key/value also known as NoSQL database. In our ecosystem, we use a hybrid of data stores and will discuss this in our later announcement. Only the API and backend services have access to the database.

Events. The API or microservice log events and write them to a data store for logs. These event logs are used for post processing and analysis. For example, in an event-driven application, writing an event stating a person scan their membership card can send a text message that their preferred lounge seating area is available and automatically reserved for them. Using log analysis like the ELK stack allow you to read logs – the top articles on the Dream and Hustle site is based on log analysis for each time a unique a viewer reads an article.

Artificial Intelligence. In the AI paradigm, machine learning happens by training the model to understand both the data and events and make assumptions and assertions. Not only does it look at the data generated in our infrastructure, it learns from other training outside of our ecosystem such as learning about how to spot trends and new techniques of result discover of our data.  

In turn, as time goes by the AI model will learn more and more by the day with AI trainers making sure it is optimized. The AI will be able to use the information to assist our users with deeper insight and can provide conversational information based on queries and the user patterns. A good example is the auto-DJ on Spotify that will say your name and play tracks related to the tracks you listened to in the past.

Tina and Ben

I want to introduce you to two special talent we have cultivated in The Manufactured Solution ecosystem, Tina and Ben.

Tina Holmes. Young Tina is a tribute to one of the women who worked at West Area Computers and National Advisory Committee for Aeronautics under the guidance of Dorthy Vaughn.  The NACA is now known as NASA and Tina is modeled in mathematical algorithms.

Ben Banneker. Young Ben is a tribute to Benjamin Banneker who was a self-taught inventor, writer, famer, astronomer. Ben is modeled to create and catalog things using generative AI techniques.

Ben and Tina serve two distinct roles at our organization.

Ben will be customer-facing with the ability to generate business models from our dataset based on user preferences, create other generative AI assets using our models and other generative AI platform models. Ben will be advanced enough to literally transform a run-down community into a developing urban economic center and also provide advisory and conduct sales activities to generate business for a user.

Tina will be behind the scenes running hidden figures on mathematical formulas to identify trends, opportunities, problems and optimization. Tina will be able to help a business identify poor-selling inventory stock and give statistical advice on what products the customers want and likely to buy. Tina will be all about the math and will be able to operate against huge complex models to help users be able to look deeper into data than they can as Tina work faster than a human.

There is something important to understand about our AI models – both Tina and Ben can self-replicate and transmute. Ben can create a version of itself and change his voice to an adult man and generate a video to sell a health suppliant product in Japanese – yeah, told you how advance we were in this game. This is the type of stuff you can do when you in an innovation loop and not some goofy hanging out at a Blavity AfroTech clique gathering pretending you Black, tech and special with no real work to show.

A New Paradigm

Tina and Ben changed everything and we know the path forward. Gone are the days of charlatans and so-called leaders and personalities. Tina and Ben will focus at solutions and learning to improve the lives of people and societies.

These two talents in our organization will help you launch a business, create economic empowerment, manage finance, interact with IoT devices to help protect and process requests for those in our ecosystem.

I’m already using Tina to manage my finances with Michibook in our label and I feel hurt at how unoptimized I was with my cash flow strategies but I’m getting hard truths on how to move forward a little harder with deeper knowledge and insight on how to move – that’s what’s coming down the pipeline.

Ben is already tasked to rewrite Dream and Hustle and start up PZR009 for the global community all from my previous articles creating generative AI content based on my writing styles and look deeper into what I was trying to talk about the past 18 years.

See, everybody doesn’t need to show out and goofy stuff like Blavity and Black Enterprise with their garbage articles trying to create narratives and rankings, not going to be able to compete with AI models that can write the entire landscape for the entire world.

The sky is not the limit for Tina and Ben - they are limitless. They are our future in a world of artificial intelligence and I look forward to where this journey is going to take our organization and the solutions we are going to be able to provide that not even I as a human can conceive with the depth of these two.