Learning has fundamentally shifted from traditional models to generative learning experiences powered by LLM-based tools. This new paradigm allows for personalized, adaptive learning tailored to individual curiosity and performance, accelerating the learning and discovery process in an increasingly specialized society.
If you have not caught on to this yet, I thought I would dedicate some thoughts to this topic. Learning has completely changed in the last year. The traditional learning model has been, for the last several centuries, curriculum to lessons to exercises and then tests. Or more commonly, the explain, demonstrate, practice, and evaluate paradigm in more practical environments. This has fundamentally shifted now, and in dramatic ways.
We all now have the ability, using any number of LLM-based tools, to create our own generative learning experiences on the fly. The new paradigm is shifting to be intent to experience to feedback to adaptation. The learning experience is created as you learn, adjusting to your curiosity, decisions, and performance.
Just for fun, imagine that you woke up this morning and said, "I want to understand quantum computing."
AI might construct an interactive laboratory, introduce an expert mentor, simulate experiments, challenge the learner's assumptions, and invent new exercises as understanding progresses. Another person exploring the same subject could receive an entirely different experience. Neither person follows a course that existed before they began.
Your modalities can shift with no high cost or preparation. You can create a simulated world, build interactive role-play scenarios, design intellectual detective-style gameplay, establish a council of experts, reverse-engineer discovery, run hypothetical labs, build memory trainers, and the list goes on. All of these are quickly built and quickly discarded. You can find a topic and, as you struggle to understand it, ask an LLM to construct a better way for you to process it.
If you think about this, it is really a natural reaction to the ever-increasing complexity of our society. We are a land of specialists. If you want to earn any amount of money in our society, then you need to be an expert or specialist in something. However, the learning curve is getting intense. In some cases, you could be in school for more than 20 years in order to even get to the entry-level stages required to be considered eligible for certain specialist careers.
It seems that our recent technology innovations are targeted right at this problem. Remember when Trinity asked Tank in the movie The Matrix to download her instructions on how to fly a particular helicopter? This is almost where we are today. You can seriously accelerate your learning, discovery, and adaptation process using recent AI innovations.
People are lamenting the loss of jobs due to AI, and any innovation is going to do that, no doubt. However, there is going to be an explosion of new job titles that we have not even heard about yet, and our society is going to become even more specialized than it is even now. Like it or hate it, that is the path we are on. Personally, I would like to find a way to live on a quiet farm somewhere in the Midwest, slowly watching a crop grow. However, reality is that I might get close to that, but the window of my office will be staring out at that field while I pound away at my keyboard, relying on my satellite uplink to keep me connected to the giant hive mind.
The point is that all this new AI technology is not only about creating fake cat videos; we can also use it to help ourselves learn, and that may prove to be not only useful but absolutely necessary to survive this crazy future we are heading toward.
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This is day. 3213.
generative learning experiences
If you've not caught on to this yet, I thought I would dedicate some thoughts to this topic.
Learning has completely changed in the last year. The traditional learning model has been for the last several centuries curriculum to lessons to exercises and then of course tests.
Or more commonly the explained demonstrate practice and then evaluate Paradigm and more practical environments that has been pretty common too. This has been fundamentally shifted now and in dramatic ways.
We all now have the ability using any number of large language-based model based tools, which we call AI now.
To create our own generative learning experiences on the Fly.
The new paradigm is Shifting to be intent to experience to feedback and then to adaptation.
The Learning Experience is created as you learn adjusting your to your curiosity your decisions, and of course your performance
Just for fun Imagine you woke up this morning and said Gee. I want to learn and understand Quantum computing.
Hey, I'm Mike constructed in interactive laboratory introducing expert Mentor simulate experiments challenge the Learners assumptions and invent new exercises as your understanding progresses.
Another person exploring the exact same topic could receive an entirely different experience. Neither person falls a course that even existed before they began.
Your modalities can also shift with no high cost or even preparation. You can create a simulated World build interactive roleplay scenarios design intellectual detective style gameplay establish a council of experts reverse Engineers Discovery run hypothetical Labs build memory trainers, and of course that list continues
All these are quickly build and quickly discarded you can find a topic and as you struggle to understand it ask a large language model to construct a better way for you to process it.
If you think about this, it is really a natural reaction to the ever-increasing complexity of our society.
We are land of specialists.
If you want to earn any amount of money in our society, then you need to be an expert or specialist in something.
However, the learning curve is getting intense in some cases. You could be in school for more than 20 years in order to even get to an entry level stage required to be considered eligible for certain Specialists careers.
It seems that our recent technology Innovations are targeted right at this problem.
Remember when Trinity asked tank in the movie The Matrix to download her instructions on how to fly a particular helicopter. This is almost where we are at today. You can seriously accelerate your learning Discovery and adaptation process using recent AI innovation.
People are lamenting the loss of jobs due to Ai, and any Innovation is going to do that. No doubt.
However, there is going to be an explosion of new job titles that we have not even heard about yet and our society is going to become even more specialized than it is now.
Like it or hate it that that is the path that we are on.
Personally, I would like to find a way to live on a quiet Farm somewhere in the Midwest.
Slowly watching a crop grow however reality is that I might get close to that but the window of my office will be staring out at that field while I pound away at my keyboard rely on my satellite uplink to keep me connected to the giant hive mind.
The point is that all this new AI technology is not about creating fake cat videos. We can also use it to help ourselves learn and that may prove to be not only useful but absolutely necessary to survive this crazy future that we are heading toward.