In the future, we will be posed with choices. Some transparent others couched as efficiency in your busy daily life. However, as we navigate the choices to enable us to lead our families, we must be vigilant of the changes that are invisible - the ethiical and moral choices that are in progression even now. One day you, or at least definitely your children will have the choice:Do we want to edit our genomes so we can produce children who are smarter, diseaseless, with the potential to live longer? Are we there yet? Almost. However as believers we will feel the prompting in our spirit asking the opposing question: Do we want to continue as God has created us to be — made in His image, with Him as the author and finisher of our destiny? To those fully persuaded about the Word of God and for those who are fully converted and walking out the lifelong transformation of going from glory to glory, this will not and should not be on the table for discussion. However, this is not about just you. What are you raising your children to understand and believe about their identity?
What are the values that are non-negotiable in their decision-making schema?
How have you been merging your faith and values into daily conversations with your children in this new world evolving around us every day?
Your answers about these questions are more important now than ever now. I know it’s hard to give time and space to this with all of the existential threats to our lives as adults - the job losses that are viral on Youtube and the impending (present) wars and all the associated implications that pervade in our ability to thrive. However, place YOU in a seperate space for the rest of this article and however, place that in a space in your mind for later and think about what I am going to ask you now. ow.
How much do you understand about the patterns of innovation that are reshaping our lives?
Why?
If you do not understand the patterns of innovation and how what is happening now is verrry different than the dot com boom in the 90s or the arrival of Uber eats and Youtube; you will underestimate the fullness of the challenges facing your child in the very near future.
Stay with me… it will make sense.
There are some cycles of innovation that are predictable. However, you need to understand the behaviors of these cycle to fully appreciate the complexity and aggression of the evolution of AI to the great hope of super intelligence. This is soooo key to being a smart, and cowboy in this new wild, wild west.
There are laws of technology that have similar characteristics over time. It may start slow, but over time it accelerates and penetrates many levels of society. Let’s consider some of the greatest impacts of technology — some you may remember; others you can Google to verify. Let’s consider silk. Silk making was a well-kept secret in China for centuries until two monks shared it, and it proliferated in a myriad of ways around the world, moving from clothing in China to other countries in south-east Asia and Europe. While it started in clothing, it became a new exciting variable for innovators to play with leading to being used in all forms of manufactured goods, blended fabrics, upholstery, accessories, luxury fabrics, interior design, and even medicine ( you find silk in surgical sutures, biodegradable implants). The list is long. First fast, then it went deeper into other goods in society.
This is the same pattern with other technologies. In 1983, there were only a few hundred computers connected to the internet. Now we have 14 billion and many other technologies that have been built on it, such as social media, online videos, YouTube, and smartphones — creating needs and desires for new services, businesses, and opportunities. Uber, anyone? We see the same time scope, speed, and societal consequences in breadth and depth with other technologies in history, such as the combustion engine, printing press, the agricultural revolution, and the industrial revolution. Starts at the surface then goes faster and deeper into new layers of society.
Everything became cheaper, more efficient, and society changed in a myriad of ways with each innovation in technology. Once it began, it never stopped, as Mustafa Suleyman shares in his book The Coming Wave.
The meaning of the current revolution we are in now (the reach for AGI and super intelligence) has consequences that will be very different than the technological shifts we experienced until now. Artificial intelligence is still at the surface, however, the core of its goal - to think and perform like humans will have immeasurable impacts that even the creators cannot forecast. You cannot accept their will be unlimited abundances and everyone will have UBI which is ally you read in the popiular media. We are in the process of training AI to replace our tasks without a full understanding the full possibilities of replacing us and our children.
You need to understand the possibilities that are in action already with these core principles of AI: deep learning and large language models.
Deep learning is a direct affront to one of the core ideas that makes us human — which is our ability to think and reason, as well as our ability to look at the past and predict what could happen in the future. Large language models (LLMs) are exactly what the name suggests. Models to understand and replicate how we reason and use language. In 2012, AlexNet arrived on the scene with deep learning — neural networks modeled after the human brain. Neural networks are composed of large language models driving change and innovation today. Large Language Models (LLMs) train on a lot of data, then shares the information in a neural network. When moving through the network it functions like the neurons in our body, coding the language with “colored pixels,” then sharing it with other neurons in the network. What makes it so powerful is that it has the ability to notice errors, then shares the updates in the rest of the network of neurons.

This image was generated by AI to support my description
What stops me on my treadmill is that large language models has this system of tokens. Tokens are its own language for organizing and processing language. Using an “attention map,” the LLM learns how to process and organize what it is learning for reuse by using an “attention map.” This attention map makes it smarter overtime in processing information. Yes! The neural network becomes smarter over time reasoning “by our corrections” and as it recognises patterns and discovers new ones through computing power.
Why is this important? It is mimicking the way humans learn, without the God factor, of course 🙂
Today, this technology is at the heart of large language models (LLMs) — programs that learn information by organizing and relating it to new information over time through algorithms. These LLMs gave us ChatGPT-2 in the summer of 2020. Speed forward, we certainly see the difference between GPT-4 and GPT-2. The ability to reason, use voice, and interpret and create pictures has improved significantly with each iteration.
But let’s rest with this version for a moment. Just with the chatbot versionGPT-4, we have seen a chatbot work with images and code, create 3-D computer games, write business plans, game bar exams, GRE, SAT and understand complex reasoning to solve problems that would take teams of people with varying degrees of intelligence and experience.
At the time of me writing this post, we currently have ChatGPT-5.2. I tried to obtain the exact amount of data it was trained on; however, it is not being published widely. I only found vague notes about the number of tokens and data.
As a person of faith and a leader making decisions for other people’s children, I have many wonderings, especially with so many advertisements and programs popping up telling us we can become 10x the human we are today. It does not mean that I think we should not learn to use AI and look for opportunities to leverage it in the education of our kids and help them become “creators” or entrepreneurs. I believe that we have to start having more conversations with our kids about how it works and start gathering together to share and plan how we will navigate alongside this new wave.`

Now that I have shared this foundation, in this next post, I will invite you to think about how you may start sharing and coaching your child about these emerging technologies with intention.
Sources:
Suleyman, Mustafa, and Michael Bhaskar. The Coming Wave: AI, Power, and Our Future. Crown Publishing Group, 2025
The Holy Bible: King James Version. Cambridge UP, 1769.

