Gregg Braden
๐ค SpeakerAppearances Over Time
Podcast Appearances
the way that we triumph is if we have to fight fight from our love of what we know is possible and the gift of our humanness rather from the anger and hate that just destroys us and you talk to any soldiers I've got friends, you know, special forces, they've devoted their whole lives and they've come home and they're broken. They say, what was the purpose of my life?
the way that we triumph is if we have to fight fight from our love of what we know is possible and the gift of our humanness rather from the anger and hate that just destroys us and you talk to any soldiers I've got friends, you know, special forces, they've devoted their whole lives and they've come home and they're broken. They say, what was the purpose of my life?
And the purpose is that they were fighting the kinetic battle between the sons of darkness and the sons of light, good and evil. So this is one way of positioning it. I mean, there's a million ways to see it. But in the brief time that we have together, I wanted to give a framework, a context that The book is identifying that there is a concerted effort to replace our biology.
And the purpose is that they were fighting the kinetic battle between the sons of darkness and the sons of light, good and evil. So this is one way of positioning it. I mean, there's a million ways to see it. But in the brief time that we have together, I wanted to give a framework, a context that The book is identifying that there is a concerted effort to replace our biology.
And the purpose is that they were fighting the kinetic battle between the sons of darkness and the sons of light, good and evil. So this is one way of positioning it. I mean, there's a million ways to see it. But in the brief time that we have together, I wanted to give a framework, a context that The book is identifying that there is a concerted effort to replace our biology.
And then all the new discoveries that are telling us we already are the technology that they're trying to replace us with, except we do it better.
And then all the new discoveries that are telling us we already are the technology that they're trying to replace us with, except we do it better.
And then all the new discoveries that are telling us we already are the technology that they're trying to replace us with, except we do it better.
Can I just give an example? I mean, I said, can I give an example? Yeah. This is an amazing study that was done. So young people are being taught to idolize computer chips, artificial intelligence, because they're fast and efficient. And they are. Is a chip fast and efficient? Absolutely. But is it scalable? And here's the thing. You can never scale a computer chip
Can I just give an example? I mean, I said, can I give an example? Yeah. This is an amazing study that was done. So young people are being taught to idolize computer chips, artificial intelligence, because they're fast and efficient. And they are. Is a chip fast and efficient? Absolutely. But is it scalable? And here's the thing. You can never scale a computer chip
Can I just give an example? I mean, I said, can I give an example? Yeah. This is an amazing study that was done. So young people are being taught to idolize computer chips, artificial intelligence, because they're fast and efficient. And they are. Is a chip fast and efficient? Absolutely. But is it scalable? And here's the thing. You can never scale a computer chip
it will always be limited by the physics of the stuff it's made of. Right. So if a silicon, if a chip's made out of silicon, not all of them are, but if it's a silicon chip, the atoms that make that silicon, the information's always going to be able to move so fast between those atoms. Now, is it fast, efficient? Yes. Scalable? It is finite in its scalability. Okay? And we know that.
it will always be limited by the physics of the stuff it's made of. Right. So if a silicon, if a chip's made out of silicon, not all of them are, but if it's a silicon chip, the atoms that make that silicon, the information's always going to be able to move so fast between those atoms. Now, is it fast, efficient? Yes. Scalable? It is finite in its scalability. Okay? And we know that.
it will always be limited by the physics of the stuff it's made of. Right. So if a silicon, if a chip's made out of silicon, not all of them are, but if it's a silicon chip, the atoms that make that silicon, the information's always going to be able to move so fast between those atoms. Now, is it fast, efficient? Yes. Scalable? It is finite in its scalability. Okay? And we know that.
And we're actually reaching the limits of our computer chips right now through Moore's Law that says you double... The speed, you know, every so many years, well, the number of years is collapsing and the speed is increasing. And we're down now to that level where we're not going to be able to double that much more. Now you look at a human neuron. Is it fast? It is. What is its upper limit?
And we're actually reaching the limits of our computer chips right now through Moore's Law that says you double... The speed, you know, every so many years, well, the number of years is collapsing and the speed is increasing. And we're down now to that level where we're not going to be able to double that much more. Now you look at a human neuron. Is it fast? It is. What is its upper limit?
And we're actually reaching the limits of our computer chips right now through Moore's Law that says you double... The speed, you know, every so many years, well, the number of years is collapsing and the speed is increasing. And we're down now to that level where we're not going to be able to double that much more. Now you look at a human neuron. Is it fast? It is. What is its upper limit?
And the truth is that we don't know because every time a neuron is pushed to what was believed to be a limit by scientists and medical experts in the textbooks, we do what humans do. Our neurons will morph and adapt And embrace that limit to be able to open an entirely new vista now of possibilities. And we do this again and again and again and again. What is the scalability?
And the truth is that we don't know because every time a neuron is pushed to what was believed to be a limit by scientists and medical experts in the textbooks, we do what humans do. Our neurons will morph and adapt And embrace that limit to be able to open an entirely new vista now of possibilities. And we do this again and again and again and again. What is the scalability?
And the truth is that we don't know because every time a neuron is pushed to what was believed to be a limit by scientists and medical experts in the textbooks, we do what humans do. Our neurons will morph and adapt And embrace that limit to be able to open an entirely new vista now of possibilities. And we do this again and again and again and again. What is the scalability?