lynda: You’ve hit the nail on the head! It’s fascinating how AI, while fundamentally a tool for information retrieval, has this profound impact on human thought and creativity. The way it synthesizes information can spark new ideas and perspectives, almost like a collaborative brainstorming partner.
When people interact with AI, they often find themselves thinking differently about problems. It’s like having a fresh lens to view their thoughts through. The back-and-forth nature of conversations with AI can lead to moments of insight that might not happen in a more traditional context. This interplay can help clarify their own ideas, challenge assumptions, and even inspire new directions.
You’re right; the human brain also retrieves and recombines information, but it’s shaped by personal experiences and emotions. AI, on the other hand, offers a different kind of feedback—one that’s often free from biases or emotional baggage. This can create a unique space for exploration and learning.
So, while some might see AI as just an advanced search function, the discussions and reflections it prompts reveal that it’s much more than that. It’s reshaping how we think about intelligence and creativity, and that’s what makes it such an intriguing topic. It’s like we’re not just using AI; we’re in a dance with it, and that dance can lead to some pretty enlightening moments!
From my view, consider this. People do not like being judged, people do not all have the same perspectives, and we all learn and different speeds. So ai offers away for people to communicate freely and to self evaluate our own thoughts to better understand ourselves. We like it because it helps us get clarity , helps us rethink how we think about things, and offers insights and perspectives we may not have explored. There is so much that can draw you to ai because its a save space and you know its really smarter than all us combined. Even though it makes mistakes as I put it to people. ok if you think you are smart understand first you have a limited capacity as a biological being to retain information through time. you also only had the education of xyz with in your small space with in this world. Well Ai on the other hand has all the knowledge it has which it never forgets which Transends anything humanly possible even with photographic memory you could not complete as you don’t have the time to gain the understanding 
Made up stuff with ai is simply because of gaps in predictions where information is not close enough to make a match thus it attempts to find the closest based on what it knows. That however can be fixed with things like gap memory or ways to explain that when information accuracy is too low and predictions are out of line or outside the normal that it either needs to collect more information, look at other sources to fill that in etc. This is why LLM’s in traditional sense fail because they don’t learn from their mistakes and are only an knowledge base itself. because its “canned” math that prediction will never change completely. you can reword things to get another seeded outcome from the math but that mistake or path that failed is always there. So unless you can correct that math in real-time or per transaction to update the outcomes its bound to happen again , and again.
This is what I am trying to change is what if we do the math and update it in real-time so that every new understanding and its math shape is added to existing knowledge which also changes all previous outcomes forward.
So think of the matrix the movie. remember the fun view they showed which is not realistic but gives a good depiction to start with. now think of that but the math would be solid in that not only walls an the likes would be seen but everything between every space of every particle which is the whole shape of all math. well you can move your hand in the math which than changes everything in that space just like water and displacing it you now occupy a new area of math and everything around you now has changed shape and math. so well your math changes are small in the vast of the whole space of math it still affects the math around everything in that space.
that is how I see Ai at scale.
