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Jan. 2, 2025 - Info Warrior - Jason Bermas
45:29
The Digital Twin Takeover
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Time Text
We have developed speed, but we have shut ourselves in.
Machinery that gives abundance has left us in want.
We think too much and feel too little.
More than machinery, we need humanity.
We know the air is unfit to breathe and our food is unfit to eat, as if that's the way it's supposed to be.
We know things are bad, worse than bad.
They're crazy.
Silence!
The great and powerful Oz knows why you have come.
You've got to say, I'm a human being, God damn it!
Goddammit!
My life has value!
You have meddled with the primal forces of nature!
Don't give yourselves to brutes, men who despise you, enslave you, who regiment your lives, tell you what to do, what to think, or what to feel, who drill you, diet you, treat you like cattle, use you as cannon fodder!
Don't give yourselves to these unnatural men, machine men with machine minds and machine hearts.
Yeah, thank you.
You're beautiful.
I love you.
Yes.
You're beautiful.
Thank you.
Ha-ha.
It's...
Showtime!
And now, Reality Rates with Jason Hermes.
And who loves you?
And who do you love?
Hey everybody, Jason Bermas here, and I'm just asking questions.
And earlier, I was trying to figure out a subject I could do that I know nobody else is talking about today.
I understand that, you know, the tragedy in New Orleans...
The Cybertruck explosion, etc.
I mean, if you go to my Twitter, I'm obviously acknowledging these stories, but When it comes to the content that I provide here, I really do try to do something different than everybody else.
I was sitting here and I was thinking about Digital Twins.
From that, I was thinking about the Chief Artificial Intelligence Officers.
I'm going to give you a little window on how the sausage is made and bring back the semi-watch-along.
We do play a lot of videos and clips here, but we have done these longer form watch-alongs.
This isn't going to be a super long watch-along, but there's one clip in particular.
It's probably about six or seven minutes of a 30-minute discussion with the Department of Defense's Chief Artificial Intelligence Officer that, yeah, I mean, obviously I could have clipped it up.
Because there is some stuff in there that's, you know, it's a little extra, it's a little fat, but there's so much in there that is so important, like the budget of the Defense Department, the size of the Defense Department, the integration into the private sector in this.
And I have a clip from that from a forum that That takes place over a couple days.
You notice a lot of these things that I often do talk about that take place are these forums and they're multi-day things.
And that's where they'll really open up.
When I say they, heads of industry, of government agencies, media organizations will open up somewhat, right, into the audience and let you kind of veer into it.
And artificial intelligence and the algorithm is discussed, and that's really going to be the punchline like six minutes into what we're going to show.
And it kind of took me aback.
Now, there was other stuff in there that I really did want to flesh out, but I was just like, man.
And the most important part of that is actually kind of almost said under this person's breath.
So I'm going to show you how I found this person.
I found another chief artificial intelligence officer that we're also going to play.
Just a small clip, again, about the integration and testing of these things because I keep talking about it.
They're programmed.
They're not going to be allowed to go beyond other narratives.
That's artificial intelligence in general that's interacting.
But when talking about digital twins, outside of the Chief Artificial Intelligence Officer topic, I want to show how they're taking it from simulations and the twinning of things like, say, satellites and Lockheed Martin.
I'm going to show that clip from 2016, now almost a decade ago, and how that's coming into the human arena as well.
And really, it's not only blockchain, but a tokenized society of smart contracts and simulations of running on everything biological and non-biological it can through sensors.
Sounds incredible.
But again, you're going to watch these clips.
It's not going to just be me ranting and raving.
So...
Let me start here.
One of the places I will start is a Kiwi word search, usually at a place like C-SPAN. So I want to take you through this step by step because I do think it's important.
There's 23 mentions of the term digital twin.
Okay, I put it obviously in the quotations.
And Digital Twin Advanced Infrastructure.
This is a house session.
I want people, Digital Twin Requirements, Digital Twin, Digital Twin.
All these speakers are unidentified, by the way, because a lot of these people are new to the whole game, Homeland Security.
There's not much on the Digital Twinning.
We get down to about 2021. This is Homeland Security.
And quite frankly, it's not something that's been discussed.
So I went to the very, very first one.
And the unidentified speaker in this one, that for some reason they just didn't want to give them a little dick-a-dick-a-do, is actually the vice president and chief technology officer of Lockheed Martin.
Okay?
Now, We're not going to play the entire clip.
In fact, the entire forum that he's on is two hours long.
And we're even going to cut out this part where he's making a flight analogy until the flight analogy at the other end, the very end of it, because he's talking about the evolution of Of a fighter pilot.
And how in World War II, if you were a fighter pilot, you were basically looking for enemies all the time.
Everything was manual.
It was ride or die on you.
And then the evolution of all of a sudden there's all these sensors around and there's a defense system and you're locked in at a certain frequency to just maneuver.
And then there's this end of it.
And he takes that into the digital twinning system where you'll see what now looks like pretty rough computer models.
Right?
of a satellite project and then that digital twinning system.
And after I play this, I'm going to talk about how now this has been adopted in mainline industry everywhere.
I often talk about NVIDIA chips.
Most factories have digital twins running of them all the time.
And he actually shows you the factory aspect and the VR aspect.
Again, this is close to a decade old.
It's 2016. So let's get to this clip right here.
Let's see, where are we?
Boom, we're over here with a little dick-a-dick-a-doo and magic and boom.
So this is a completely different situation.
This aircraft is actually a flying sensor.
It's integrating all kinds of information for you.
Surrounding the airplane, looking out in every direction, are visual and IR cameras.
And you also have an advanced electronically scanned radar assembly.
And by the way, all of these sensors are being tasked in real time automatically by the airplane.
All that information is being brought back and integrated in the advanced visual display in your helmet.
So now, what you're seeing is integrated data like terrain, navigation data, weapons data, tracks both on the air and on the ground, aircraft in proximity.
And when you look around, when you look down, you're not looking at your shoes or the floor of the airplane, you're actually looking at the ground below you.
With that advanced synthetic vision in the helmet, you are literally able to look any direction through the airplane itself.
So what is this?
This is actually an example of advanced human-machine teaming.
You're collaborating with an intelligent machine through that advanced visual interface in your helmet.
So human-machine teaming, that means leveraging the capabilities of the machine for the human to know more, to do more, to make better decisions.
And that is really a quantum leap.
So now, let me just give this thesis.
Essentially, these technologies, this human-machine teaming, when I think about it, as the CTO of Lockheed Martin, I work with teams that are engineering a better tomorrow.
And to me, no technologies feel more like the future than machine intelligence and human-machine teaming.
They are really, as I've shown in this F-35 example, enhancing productivity.
They're enhancing U.S. competitiveness in all kinds of industries through reducing cost, through reducing time, through reducing risk across our nation.
So what does that mean?
What does that mean?
So I just want to stop it here.
That's where he's going to make the transition.
And I mean, think about how incredible that is.
That we've gone from, again, in the 40s and 50s, basically a pilot up there, everything, boom, boom, boom, manual.
Then sensors, then to the point where there's multiple camera sensors in the helmet.
You can look through the plane.
It's all being projected out to multiple arenas through invisible waves.
You know, we don't talk about that enough.
That through invisible waves, you're watching me in 1080p anywhere in the world.
That lets you use those invisible waves.
Pretty incredible.
And that's old tech.
And again, this, what we're about to see is old tech.
And you notice the push with human-machine teaming, he's calling it.
The teaming.
And now, remember, digital twins...
We're going to be everything biological and non-biological, right?
So this is the non-biological push.
Whereas instead of just the Internet of Things, which this is like very specifically a part of, But for a private organization or a military operation or the cohesion of both, okay?
With the Internet of Bodies, we're talking about simulations on biology through real-time sensors within you on a nanoscale.
We're not going to dive too far into that today, other than when we eventually get to Martine Rothblatt and the digital twinning of human beings.
But again, as much as they can merge that human-machine connection, they're driving that home.
Let me start with an example that now is not up in the air.
It's actually on the ground in our factories of today and our factories of the future.
We're using what we call the Collaborative Human Immersive Laboratory, the CHILL. We're actually using that to build satellites in the virtual world.
I'm going to start off.
We're actually going to be on a motion capture floor.
This is in our final assembly building for satellites in Denver, Colorado.
The engineer here is actually viewing and working through a satellite building operation, looking at this virtual simulated factory in his VR headset.
At the same time, there are motion capture cameras that are tracking his every move.
His avatar is duplicating those moves in this virtual world, working with other operators to build the digital twin of this satellite, of this real, actual satellite.
So now I've moved into a cave, a 3D virtual environment, And here the team is working something out.
They see that the operator actually has to lie down on a diving board, reach out over the satellite to do this installation operation.
So they reconfigure it in real time.
Okay, now he can stand up and do that.
He's not putting himself at risk.
He's not putting that $200 million satellite at risk.
So now we can actually build the entire satellite virtually before we touch a piece of hardware.
On the left, the simulated satellite.
On the right, you see the same satellite on video going through that lifting operation.
And it is perfect the very first time.
So what have we learned?
We've learned how to do things like take out half, half of the moves and lifts and the risks associated with building a satellite.
So let's just stop it right there.
I want to say this.
I'm not anti-technology.
But the way they're pushing these things, remember, automation is already replacing many of the jobs out there.
AI, you know, they talked about the creatives.
You know, once again, we'll show it to you.
This is 100% AI. I did nothing to create that.
I typed in A prompt after I picked another image that I wanted to work as a baseline image to create that.
And then it gave me six different choices.
I actually ended up taking the first one, flipping it around, changing the color, and that's it.
And that's it.
And it's only going to get better.
And that's just the visual stuff.
And then with the digital twinning system right now, you notice I said tokenized everything.
In order for the...
When you look at the digital twin system here, okay, as we scroll through, these are going to most likely electronically, all right, first they're going to go through and then in order for them to go through in real time,
they are going to be on some kind of a blockchain system and they're going to have to deploy a smart contract and whatever token Whatever coin on the Ethereum network or whatever it ends up being will be that.
And then there will be a record, a digital record of that transaction, etc.
So I want to move now from the digital twinning stuff to the artificial intelligence stuff.
So, again, I did Artificial Intelligence Officer, okay, sorted by date, got 28, and a lot of them were this woman that I had not known about, Margaret Palmieri.
We're going to get to Alex James in a second, because he then dominates it, and then there's an unidentified Lisa.
But all this, Chief AI Officer, by the way, the furthest that goes back is 2023, and really this whole department was created in 2022, as you're going to find out.
I've been harping on this.
So, here is the Chief AI Officer of the Defense Department.
And the reason I've been harping on this is because, you know, I should play that Marc Andreessen clip too.
I should find that and I should play that.
I'm sure I have it down here.
So maybe we will play that as well.
But it shows you that now everybody working with software and hardware developing AI is going to be under the thumb of the Defense Department.
Period.
And Andreessen says just that.
He says, we got to find that clip.
Hold on.
We're going to do it live.
You haven't hit the button in a while.
We'll do it live.
We'll do it live!
Fuck it!
Do it live!
I'll write it and we'll do it live!
There we do.
That's how we do it.
We do it live.
So if you doubt me, and in a second you're going to find out, and this guy James right here, this is in the private sector for a company that Called Data Miner.
Real-time information reimagined.
All AI. Data Miner.
Okay?
This guy.
Alex James.
We're going to get to him too and break him down in a moment.
But we've got to play this Andreessen clip first.
Alright?
So this is a billionaire investor.
We had meetings in D.C. in May where we talked to them about this and the meetings were absolutely horrifying and we came out basically deciding we had to endorse Trump.
What did you hear in those meetings?
AI is a technology basically that the government is going to completely control.
This is not going to be a startup thing.
They actually said flat out to us, don't do AI startups.
Don't fund AI startups.
It's not something that we're going to allow to happen.
They're not going to be allowed to exist.
There's no point.
They basically said AI is going to be a game of two or three big companies working closely with the government.
I'm paraphrasing, but we're going to basically wrap them in a government cocoon.
We're going to protect them from competition.
We're going to control them.
And we're going to dictate what they do.
And then I said, well, I don't understand how you're going to lock this down so much because the math for AI is out there and it's being taught everywhere.
And they literally said, well, during the Cold War, We classified entire areas of physics and took them out of the research community and entire branches of physics basically went dark and didn't proceed.
And that if we decide we need to, we're going to do the same thing to the math underneath AI. Wow.
And I said, I've just learned two very important things.
Because I wasn't aware of the former and I wasn't aware that you were even conceiving of doing it to the latter.
Okay.
So that's the breakdown here.
Okay.
So this next clip that we are going to play is of this woman.
And there's just so much in here in this seven minutes about the Defense Department, about the whole shebango that's really important.
So here we go.
We're going to be talking about a topic that's not only super timely, but also hugely relevant to our nation's national security, to our competitiveness, and we have the leader here to come talk to us about it.
Marjit, you are the Deputy CDAO at the Department of Defense.
We've heard a lot about AI today, but I think we haven't really zoomed in on the sort of defense topic.
And, you know, I think when people think about AI, it's sometimes harder to sort of even match up sort of AI investment with some of the civilian government agencies.
But when we think of defense, we think of really, you know, an organization that has been experimenting with this, investing in research in this.
And applying it in the battle space, but also an organization that has a lot of maturity to grow and continue that investment to build more exquisite capability.
So we're going to dive into some of those topics today.
And you know, maybe we could begin by having you talk a little bit about the CDAO office.
It's a relatively new-ish office in the Pentagon.
And I would love for you to just sort of give us your take on the chief goals, the mission, the objectives, and how that's kind of evolved over the past year or so.
Yeah, absolutely.
So the chief digital and AI office, CDAO, was established in June of 2022. So we're about two years old.
We're a toddler.
We're in our terrible twos, I guess we could say.
Our mission is very simple.
It's to accelerate the adoption of DOD's data analytics and AI efforts.
We like to say from the boardroom to the battlefield.
Let me just stop it there.
Woman's very intelligent, has her talking points, has her vernacular out there.
But what did she just say?
From the boardroom to the battlefield, we are implementing the DOD initiatives.
We are running AI through the Defense Department everywhere.
I mean, that's what that is.
Bidingo, bidongo.
This isn't just about business.
It's not just about warfighting.
It's really the end-to-end mission of the Department of Defense, which can be quite broad.
We are the largest organization, perhaps, in the world.
Over 3 billion people, over 120 countries, not to mention in the air.
Yeah.
I think she misspoke.
Three million people in the Department of Defense.
I mean...
...cyberspace and space under the sea, on the sea, and in a bunch of different places.
And so when we look across the CDAO, we have a couple of functions which are, I think, very exciting for a principal staff assistant.
A principal staff assistant, or PSA in the Department of Defense, reports directly to the deputy and the secretary of defense, and is able to...
Usually, set policy, oversee activities.
We have a couple extra things.
So, in addition to being the Chief Data Officer of the department and being able to set policy around data analytics and AI, we also have acquisition authorities, so we can create new models for acquisition.
We have a couple efforts in that area that we can talk about.
We also have actual enterprise capabilities.
Before we get to enterprise capability, Talking about acquisitions.
Now, everybody's talking about these visas.
That's the thing.
In the public arena...
If you want to hire these people at SpaceX and have them have a public persona, etc., engineers from other countries, yeah, yeah.
That's the big controversy, and they're planning on doing that en masse.
If they actually want the best and brightest to work on those projects, all right, they have that ability.
That's what she was just talking about.
Okay, they have acquisition ability that others don't.
All right?
...in our office that we deliver to the department, and mostly focused on decision-making at the Department of Defense level or the Office of the Secretary of Defense level with the combatant commands, who are our four-star warfighters around the globe, functionally and geographically assigned.
And then the chairman of the Joint Chiefs of Staff and the Joint Staff.
But also to inform all the decision makers across the department in the services and in the field activities as well when it comes to making good data-driven decisions.
So we have...
Capabilities that we support there.
We are the functional community manager for digital talent, so the department created 10 or so new work roles in data analytics and AI, and we are in the process of coding our workforce and coding our positions to really create a pathway for people to come into the department and not just have one job in this field, but to see a career in government, whether they say a few years or whether they want to hop back out and come back in.
Let me just stop it right there.
They want these people to intermingle with other agencies, organizations.
Again, I know the new term is now the blob.
Mike Benz has popularized the blob, right?
But it's the bureaucracy that continues to feed itself.
Now the juiciest stuff is yet to come on this, but before we get to that, I do want to remind everybody, we're probably about halfway through this video, I haven't plugged yet, doing it several times a day.
We're doing videos like this one.
Watch-alongs clips you're not going to see anywhere else.
I need the support, guys.
I love you out there.
I do actually want to give some shout-outs here.
I want to give some thanks to Holly Jackson, Annie, and someone.
I really do appreciate you.
Got some commentary on January 6th.
Obviously, we're going to be covering that in the coming days before the anniversary.
Maybe we'll break out my footage and do a watch-along Of all my footage from January 6th.
Hopefully we don't get in trouble for that.
But I need your support.
The links are down below.
If you don't want to do the Buy Me a Coffee, there's the PayPal.
Please share everything.
Watch the documentary films, etc.
Alright, let's get back to the Chief AI Officer.
And really, the revelation that comes up in the next couple of minutes is one I think people really need to pay attention to.
Crisis response team.
Actually, everybody in the Department of Defense is in the crisis response team in some way at times.
But we've got this amazing talent inside of our Director for Digital Services and inside of our capabilities teams that are constantly thinking about how to make data connections and provide applications that allow us to better respond in crises.
So we're not trying to figure it out when it happens, but we've gotten access to the data ahead of time.
So quite a broad range there.
So again, When we talk about things like pre-crime, right?
We've already got access to the data and they've got a crisis response team.
And that crisis response team is prepared from the access to that data and the simulations they've already run based on the AI that they're allowed to have and you're not.
But a lot of opportunity to make a difference for the department.
So you mentioned three million people.
That's probably the largest organization in the world, right?
I think most likely, yeah.
And I think I was...
Look at the big chipper smile.
Three million people.
We're probably the largest organization via the DOD. You know, the total budget of the Defense Department is something like $800 billion annually.
I'm curious, what...
My share of that is dedicated to, you know, AI or data and AI. And, you know, when you look at that budget that you have, where are you spending it in terms of investing and building the foundational capabilities?
What are your top investment priorities?
Yeah, absolutely.
So the department has looked across all of its investments.
So there's CDAO, which is one organization, but every organization inside of DoD has an interest in AI, I would imagine, and that's at least what we've seen as we talk to folks.
We like to say AI is kind of like electricity.
It's not a specific thing.
It's an enabler of a bunch of different mission areas.
But we have looked at the different projects that are happening across the department.
It's about a billion and a half across the whole DOD department invested in AI. We've done an inventory of the projects that are part of our congressional budget rollout, and there are over a thousand.
What we in CDAO look for is how do we enable those Here it is.
How are they done?
This is the programming.
Garbage in, garbage out.
This is the control I'm about to talk about.
Listen how she says this.
First military to sign ethical principles for the use of AI in 2020. We have a very robust responsible AI toolkit and implementation pathway that we actually just had a great governance meeting around today inside the Pentagon where we worked with all the services and the different departments in DOD to talk about where everybody is on their efforts.
So we take this very seriously and think about how you actually deploy these capabilities in a responsible way.
And by that we mean Do the algorithms do what they're supposed to do?
Do they not do what they're not supposed to do?
And do our users know how to use them?
Do they do what they're supposed to do?
Do they do what they're not not supposed to do?
And are they being used correctly?
Let's bring it back.
The Pentagon where we worked with all the services and the different departments in DOD to talk about where everybody is on their efforts.
So we take this very seriously and think about how you actually deploy these capabilities in a responsible way.
And by that we mean, do the algorithms do what they're supposed to do?
Do they not do what they're not supposed to do?
And do our users know how to use them?
And that's absolutely key.
And do our users know how to use them?
Absolutely key.
I think I got one more of these bad boys.
Let me see.
Did I bring that one up?
Maybe I didn't.
You know what?
Maybe I'll save that one.
And instead, what we're going to do is I'm going to show you some of that corporate integration with Martine Rothblatt.
Because Martine Rothblatt is that blurred line between...
The corporate end of things like artificial intelligence and transhumanism and things you're going to find out about, all in this little love clip for Rothblatt.
And the government.
And Rothblatt will tell you that this digital twin system does come to a transhumanist biological level as well.
But first, we're just going to play this clip right here.
I think this is a clip for the winner of the NBAA's 2021 Meritus Service to Aviation Award.
This is the sizzle reel of Rothblatt.
What she sees, she achieves.
An unimaginable legacy.
Founder of SiriusXM, bringing satellite radio to the world.
Founder of United Therapeutics, finding a cure.
Saving her daughters and thousands of others' lives.
An American pioneer, Dr. Martine Rothblatt.
Martine Rothblatt may not be the world's most famous person, but she is without a doubt the most extraordinary and significant that I know.
When Martine believes in something, nothing can stop her.
Martine is very unique.
Her vision is infectious.
I first became fascinated with aviation during college.
It's amazing that as people who are born on the ground, we can use our intelligence to figure out how to fly.
But the first time I was able to actually pilot a plane, a Cessna 152, it was an exalting experience.
Martin's passion for aviation and space led to one of the most influential technological creations of the 20th century.
I began to learn about the beginnings of satellite communication, and that in turn led to my undergraduate thesis.
I thought to myself, wow, with satellite communications, you could create a nervous system for humanity.
More than any other individual, Martin is responsible for creating the satellite radio industry.
When you think about satellites and satellite communication, you think of Martine Rothblatt.
She did amazing work for NASA, and she negotiated international treaties and was responsible for obtaining worldwide approval of spectrum allocations for space-based navigation services and direct-to-person satellite radio transmissions.
As an entrepreneur, she helped launch and lead multiple satellite communication companies, including Geostar and, of course, Sirius XM. Satellite radio was the innovation that provided GA pilots with near real-time weather so they could make safe, tactical, and strategic weather decisions in flight.
But nothing meant more to Martine than her family.
So when her daughter Genesis was diagnosed with the fatal disease pulmonary arterial hypertension, her world stopped.
Genesis was diagnosed at a young age of six years old.
And when the doctors told us that she was going to die within three to five years, we were devastated.
But we pulled ourselves up off the floor and said, we're not going to accept this diagnosis.
We're going to do something about it.
And so Martine dedicated herself to saving her daughter's life the only way she knew how.
Martine is not a physician, she's not a research scientist, and she has no medical training, but she dedicated herself and committed herself to saving her daughter's life.
She built an extraordinary biotech company called United Therapeutics.
After seven years of research, experimentation, and testing, the FDA approved their treatment, and today, because of that treatment, tens of thousands of people are alive, including Genesis.
You have to do what life tells you you have to do.
And I had to save my daughter, and I'm so grateful and thankful that that's been able to happen.
They're also repairing damaged lungs to the point where they're safe for transplant.
And Martine's vision is to use eVTOL aircraft to deliver those organs to the hospitals where they're needed.
Organs need to be delivered rapidly.
That's why aircraft and helicopters are essential.
Most people thought it was impossible to generate enough power from a battery pack.
I've done these calculations, so I shared it with Dean Kamen.
And finally, he said, you're absolutely right.
He said, I've actually done those same calculations.
A year later, I was able to retrofit an R-44 and set the Guinness World Records for the longest flight of an electrically-powered helicopter Martin's company, United Therapeutics, will use eVTOL aircraft to sustainably deliver organs to transplant centers within hours of manufacturing.
Nothing of value can be accomplished without a team.
I've been very blessed and fortunate in terms of Kyle Clark, who's the chairman, CEO of Beta Technologies.
I met Martine Rothblatt about four years ago.
She asked me to write down some ideas.
The next morning I got a text with just two words, you're on.
Together we created Beta Technologies.
Our aircraft is now flying as customers like United Therapeutics, the Air Force, UPS, Blade.
Martine has done the impossible over and over and over again.
She's been a groundbreaker in every single field she's entered.
Martine is just committed to making the world a better place.
And I think that's what's making Martine an amazing leader into the future of aviation.
Martine, that's why you deserve this award.
Thank you, Martine.
You deserve this award.
Thank you, Martine.
You deserve this award.
For enabling weather in the cockpit, designing the propulsion system for a record-setting helicopter, and serving as the driving force for the development of AAM aircraft to deliver organs, the NBAA is proud to recognize Martine Rothblatt with the Association's 2021 Meritorious Service to Aviation Award.
You can say a lot of things.
But you can't say that person isn't motivated.
You can't say that person isn't intelligent.
Okay?
And you can't say that person doesn't have an agenda.
All right?
And look, I don't want to get too far down the transhumanist rabbit hole on this or the from transgender to transhuman rabbit hole.
Remember, Rothblatt, obviously, transgender.
Wrote the book, From Transgender to Transhuman.
That unzipped genes, virtually human.
Please, you can read this person's writing.
And there's actually a lecture out there, From Transgender to Transhuman, that's almost a decade old.
I think we're going to have to do a watch-along with that entire lecture.
That'll end up probably being a two-hour broadcast.
I don't know how it wouldn't be.
But now I want to show you the other side of the digital doppelganger.
The idea that everything you do on the inside and outside is surveilled and your digital twin is created.
And that this is eventually going to be uploaded and then we're going to create entities from this.
Now, before I get there, I do want to show people this.
Musk, I didn't realize this and people know that I tend to believe that That the old Musker Dew's digital doppelganger is probably Dittman, Adrian Dittman, most of the time.
But here he responded to, if you could upload your brain to the cloud and talk to a virtual version of yourself, would you be buddies?
Musk quickly responded, already did it.
And this was in July of 2022. And I actually do believe that.
I think that, you know, obviously he has uploaded himself.
And we're already at GPT-4.
And Musk is a defense contractor, is working in AI arenas, and obviously the transhuman arena, the old brain Chippington.
So...
I want to play this clip now of Rothblatt talking about digital twins.
And then we're going to wrap this video up.
So let's thumbs it up.
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And by the way, you notice drones were up.
EVs.
EV drones.
Automations.
Satellites.
NASA. People wonder why these are the focus of my work because they're the damn focus of these people.
And when we sit here and talk about the culture war all the time, this agenda pushes forward on both sides.
Okay?
So, we gotta pay attention.
Alright?
Here we go.
...is also the recipient of this year's Billie Jean King Leadership Initiative Award, which is devoted to LBGT issues and puts her in an interesting issue because she has a company or part of the company is based in North Carolina, which, as you know right now, she might get arrested for going to the bathroom if the governor had anything to do about it.
Ladies and gentlemen, Martine Rothblatt.
Martin, one of the basic concepts that you're interested in, it's not just improving life, but it's actually immortality, that we're all going to live forever.
And Martin, I might mention, has founded a religion, as one does, known as terrorism.
It's based on transhumanism.
And you have the idea that we're not just going to live a long time, but we're all going to live forever.
Tell us your concept of immortality and how that actually would work.
Thanks, Neely.
It's a great pleasure to be here.
The idea is one that has been percolating up from lots of people in the information technology industry for a while.
Perhaps Ray Kurzweil, who is a prolific inventor, is best known for the idea.
That as our abilities in the information processing industry, computer software, storage of more and more of our thoughts and our ideas outside of our body becomes easier,
more automatic, less expensive, That ultimately we're going to have sort of digital doppelgangers of ourselves that are stored in the cloud and are able to present themselves to any manner of devices.
And that as thousands and thousands of software coders and hackers and people in the maker movement Work to make the software that runs these digital doppelgangers ever more lifelike, ever more human-like.
They'll come sort of a tipping point when people begin to claim that these digital doppelgangers have achieved what we call consciousness, an ability to have a sense of themselves, hopes, fears, and feelings.
And at that point, I think the activity will move to the legal arena as to whether or not these digital doppelgangers really are conscious, really do have an independent legal identity.
And kind of the trend of progressive thinking is once there's a scientific consensus, And in this case it would be the science of psychology, that being the science of the mind, that these digital doppelgangers are in fact cyber conscious.
Then they'll begin to acquire the sorts of rights and protections that we assign to even our pets, laboratory animals, and to quite a high extent to primates like chimpanzees.
And so in this way, ourselves will kind of morph into a sort of digital consciousness that is recognized by the law as being alive.
A digital consciousness that is recognized by the law as being alive.
They want to destroy our humanity.
They want to trick us into thinking that essentially we're not really anything more than a meat puppet.
That's it.
Like, we're zeros and ones.
We're maybe not even that.
We're in a simulation.
They want to strip of our humanity.
They want to simulate our humanity through technology and make us believe that somehow we can upload our consciousness to some metaverse of wonderment.
No thanks.
No thanks.
Again, I think digital twinning has its place, obviously.
You know, certainly when you're testing things, etc.
But the direction that they're taking us in is an extremely dystopic and dangerous one.
Folks, you know the drill.
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Down below, I'd love you to check out my documentary films, all of which are free.
And in the playlist section, down below on most of the platforms you may be watching on, whether it's YouTube, Rumble, Rockfin, or I wish that X had some kind of a playlist feature.
But I will say this.
Pinned at the top of X is my From Transgender to Transhuman presentation.
And that goes way deeper on that piece of the subject matter, way deeper on Musk than we did today.
This was much more about the CAIOs, where we are right now, the control of artificial intelligence and information, etc.
Once again, thank you for those that have been supporting me all these years and continue to do so.
This is not about left or right.
It is always about right and wrong.
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