Gregg Braden

We're pulling in information from the world around us all the time across this broad spectrum, and we're transducing it into meaningful signals in our bodies. That's a very different way of thinking of the human body. So I'll just run through this really quick. What the science is showing, 50 trillion cells in the body. Every cell is a miniature, a micro circuit.

We're pulling in information from the world around us all the time across this broad spectrum, and we're transducing it into meaningful signals in our bodies. That's a very different way of thinking of the human body. So I'll just run through this really quick. What the science is showing, 50 trillion cells in the body. Every cell is a miniature, a micro circuit.

It's a gated circuit is what engineers call it. It's got input, output. All the functions within our cells, they function as transistors, as resistors, as capacitors that are massaging. That information, every cell has a voltage of about 0.07 volts.

It's a gated circuit is what engineers call it. It's got input, output. All the functions within our cells, they function as transistors, as resistors, as capacitors that are massaging. That information, every cell has a voltage of about 0.07 volts.

Say, well, that's not very much, but you do the math, 50 trillion times 0.07 is over 3 trillion volts, 3.5 trillion volts of electrical potential, which is- In our bodies. In our bodies. Now, we don't actualize it all the time, but what if you could harness that? for your own healing or to optimize, optimize cognition, optimize whatever it is we're going to do in our lives.

Say, well, that's not very much, but you do the math, 50 trillion times 0.07 is over 3 trillion volts, 3.5 trillion volts of electrical potential, which is- In our bodies. In our bodies. Now, we don't actualize it all the time, but what if you could harness that? for your own healing or to optimize, optimize cognition, optimize whatever it is we're going to do in our lives.

But it doesn't stop there because we're receiving photons of information. We're transmitting photons of information. We already said the DNA in our bodies, our DNA stores information. And let me just use the terminology and see if you've heard this before. The DNA in our bodies stores every successful genetic transaction in our species in a way that's transparent, it is immutable, and it's secure.

But it doesn't stop there because we're receiving photons of information. We're transmitting photons of information. We already said the DNA in our bodies, our DNA stores information. And let me just use the terminology and see if you've heard this before. The DNA in our bodies stores every successful genetic transaction in our species in a way that's transparent, it is immutable, and it's secure.

And if that sounds familiar, it should, because that is the basis for what is the new financial system of the world, the decentralized financial system we call blockchain technology. Blockchain technology mimics the way information is stored in the DNA of our body. Really? So once again, I'm saying all of this that we build around this is mirroring what we already do in our bodies.

And if that sounds familiar, it should, because that is the basis for what is the new financial system of the world, the decentralized financial system we call blockchain technology. Blockchain technology mimics the way information is stored in the DNA of our body. Really? So once again, I'm saying all of this that we build around this is mirroring what we already do in our bodies.

They compared a human brain... to a microprocessor, the Salk Institute in La Jolla is where this actually, I'm doing this from memory, Salk Institute in La Jolla. And the way they did it, for our techie engineers out there, is they equated the synapse in the human brain between neurons to the transistors on the chip. And interestingly, the numbers are very similar.

They compared a human brain... to a microprocessor, the Salk Institute in La Jolla is where this actually, I'm doing this from memory, Salk Institute in La Jolla. And the way they did it, for our techie engineers out there, is they equated the synapse in the human brain between neurons to the transistors on the chip. And interestingly, the numbers are very similar.

On a modern microprocessor, it's about the same number of synapses we have in the brain. Then they did the studies, and what they found is the human brain is 100-fold faster than the processors. Here's the beauty of where this goes. All of those computer chips, man, they're fast. They're accurate, hands down. But are they scalable? They can only scale.

On a modern microprocessor, it's about the same number of synapses we have in the brain. Then they did the studies, and what they found is the human brain is 100-fold faster than the processors. Here's the beauty of where this goes. All of those computer chips, man, they're fast. They're accurate, hands down. But are they scalable? They can only scale.

as far as the limit of the physics of the stuff they're made of allow. So if it's a silicon chip, the atoms are in predetermined geometric patterns that make silicon, and information can only move so fast across those. So fast, yes. Efficient, yes. Scalable, not so much. Now, human neurons, every time they push a human neuron, to the edge of the limit that has been accepted in the textbooks.

as far as the limit of the physics of the stuff they're made of allow. So if it's a silicon chip, the atoms are in predetermined geometric patterns that make silicon, and information can only move so fast across those. So fast, yes. Efficient, yes. Scalable, not so much. Now, human neurons, every time they push a human neuron, to the edge of the limit that has been accepted in the textbooks.

We do what humans do. The neurons morph and they adapt and open up an entire new vista of processing capability. And we do this again and again and again. What is the upper limit of a human neuron? We don't know. We may be infinite when it comes to scalability. That's soft technology. And it goes on from there. I'm just giving a couple of examples. I know I'm covering all the ground.

We do what humans do. The neurons morph and they adapt and open up an entire new vista of processing capability. And we do this again and again and again. What is the upper limit of a human neuron? We don't know. We may be infinite when it comes to scalability. That's soft technology. And it goes on from there. I'm just giving a couple of examples. I know I'm covering all the ground.

Can I share one more? Go ahead, go ahead. This is really exciting and then we'll pull this together. There was an experiment that was done in 2022 and some of our viewers may be old enough To remember the computer game that I'm going to reference, 1972, a game called Pong, P-O-N-G, was released. Today it looks primitive. It is essentially a tennis game, a badminton game.

Can I share one more? Go ahead, go ahead. This is really exciting and then we'll pull this together. There was an experiment that was done in 2022 and some of our viewers may be old enough To remember the computer game that I'm going to reference, 1972, a game called Pong, P-O-N-G, was released. Today it looks primitive. It is essentially a tennis game, a badminton game.