WarRoom Battleground EP 783: Manufacturing Renaissance; Next Generation Of Digital Manufacturing
Episode Stats
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Summary
In this special edition of the Six O'clock Hour of the War Room, we are joined by the founder and CEO of DIVEGIANT, Kevin Zinger, to talk about the future of military technology and the potential impact of 3D printing and artificial intelligence.
Transcript
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this is the primal scream of a dying regime pray for our enemies because we're going to
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medieval on these people here's not got a free shot all these networks lying about the people
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the people have had a belly full of it i know you don't like hearing that i know you try to do
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everything in the world to stop that but you're not going to stop it it's going to happen and
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where do people like that go to share the big line mega media i wish in my soul i wish that any of
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these people had a conscience ask yourself what is my task and what is my purpose if that answer
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is to save my country this country will be saved war room here's your host stephen k band
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okay welcome uh wednesday or excuse me thursday 5 june year of early 2025 uh we got a special
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edition of the six o'clock hour because of kind of a evolving emergency as everybody knows we had
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joe allen down at the eric schmidt conference um for the first couple of days of the week monday
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tuesday doing all the updates on artificial intelligence and military technology uh want
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to introduce a old and dear friend of mine kevin zinger who's now chairman i guess founder
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chairman ceo of divergent is that is that the virgin technology and by the way zinger is uh
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actually has the thousand yard stare i knew him when he was a young man uh coming out of uh yale
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um and then law school was yale or did you go to harvard to take my law school you're you're you're
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you and crow you guys are 100 just just kind of a jd vance trajectory exactly just jd vance plus
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under the um but you played for you what did the football coach at yale say that you were he's a
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you're a much bigger guy when we recruited you at goldman right you were 30 pounds bigger i was
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probably 20 pounds bigger and i played probably 30 pounds heavier i played for a wonderful coach
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karm koza the famous famous is in the college football hall of fame espn said he's a top 100
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college coach and uh i don't know if it's correct but it was his point of view he said i was the best
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player ever to have played for him in 33 years and the toughest player that ever played for him in 33
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years definitely the toughest yes definitely the toughest um thanks why and i want to step back and
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make sure people understand this we we've got actually in the war room for the first time and
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we're trying to cut a deal so we can keep it here this is actually a cruise missile correct we don't
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have a warhead or we can't claim to have a warhead or the capitol police will come on roll us up
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what what is sitting here next to you in the war room right now this because this is having been on
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a navy destroyer this is it feels looks and weighs like a uh like a cruise missile you're correct
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steve so this is an extended range attack missile otherwise known as a cruise missile and it's one
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that didn't take a couple years to develop it's one where we were brought the requirements by a prime
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and that was the very start of engineering 10 weeks later we had using ai generated the most advanced
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optimized design possible in an automated way 3d printed it while reducing the number of parts you
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normally have a couple hundred to less than a half dozen and then automatically printed it and
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assembled it and test flew it that all took place in a tiny fraction of the time with a tiny fraction of
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the money it ordinarily takes and we could immediately go into full production when necessary
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traditionally if you did this in the pentagon you got those requirements this is a multi-year process
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and cost hundreds of millions of dollars just to get to the position to get signed off for full
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production is that is that what i'm comparing it to that's correct but what we're doing with
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divergent technologies would basically be taking the united states from the typewriter era of
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manufacturing or maybe the ibm typewriter that added two lines of memory by adding a little more
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robotics to the factory to full-on in one step mac desktop publishing this is only in america
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made in america fully digital ai enabled automated engineering and manufacturing because the concept
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i'm gonna get into what uh 3d printing is what all this is the ai because it can get a little confusing
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for folks essentially what the the key to this is is that looking at president trump's tariff strategy
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and particularly what we call reshoring and bringing these advanced manufacturing jobs or
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manufacturing jobs back the peter navarro theory president trump's going down you're saying hey
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i understand that i get that but in requiring these plants to come back even with the investment they're
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going to make you're looking at a decade before things can get back the ecosystem around it can be
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built and you actually go into full production you're saying you have a system that's a plug and play
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that you can bring manufacturing back here at the levels we're talking about for production
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uh in a matter of months is that essentially what what the what the alternative what these two
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alternatives are exactly we don't we don't have that decade right now the chinese because of what's
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happened over the last 20 years plus of offshoring have way greater industrial capacity than we do
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i mean the chinese have more industrial capacity than the u.s and all of its allies combined give me that
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again what do you what do you say if you look at global manufacturing market share in 2000
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the u.s had over 25 percent china had about seven percent when they came in when they had finished
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coming into the world trade organization and most favored nation we were over 20 and they were at seven
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we were over 25 they were at seven today entering into the current administration that had fallen from
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25 plus to under 15 with the trend showing by 2028 absent what this administration does it would fall
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down to about 11 uh down to about 11 the chinese so think of that 11 projected uh without the administration
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that we have taking action uh against the chinese which had seven percent in 2000 at the end of
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2028 projected global manufacturing market share for china over 40 so over 40 versus 11 so you're saying
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even with president trump's program we don't have that decade of everything having to come back in a
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traditional way that that decade a lost decade will still give the ability even if the tariff system
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works and president trump's redoing the commercial relationships just the physicality of bringing
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that back is actually looking at it almost too in the rearview mirror and we would be destroyed by
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china as a manufacturing hegemon by that time because that would still be a lost decade and this
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combined artificial intelligence uh 3d printing others is a solution that you can plug and play today
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and actually within a year start to really bring things back i would say we can start replicating
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factories almost immediately you know there's a plan that i'll share in a second but first i want to
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address the question you had which is bringing back uh factories as they exist today overseas in china
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with current manufacturing isn't going to allow us to dominate in manufacturing again our strength is
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technology innovation we don't need a bring back old style manufacturing we need a leapfrog china strategy
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and so what we're really doing is you know if you look at when sputnik went up you had kennedy come into
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the administration wernher von braun who was running nasa space at that time came in kennedy's like
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how do we catch the soviets in sputnik orbit and he's like you don't you go for the moonshot you go
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they're saying sputnik you're in you're in earth orbit they already dominate that that's old you've got
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to leapfrog them and do something they can't do exactly we can't be chasing china in what they're
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already dominating taking 10 years to do it we only have a couple of years in reality like 2027
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is what as you know people are talking about this is a total leapfrog this is not anymore r&d
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we're actually shipping this is a dual use technology so we not only use it for defense
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we use it for automotive we're shipping to companies like aston martin the most important
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safety structures of vehicles and they're out on the road in passenger cars nobody thought that
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would happen for 20 years so the idea is take commercially available but the most advanced
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existing on the planet which is here technology and start to replicate it as fast as possible
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and put china technologically way in the rearview mirror okay hang on for a second i want to go to
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because i'm sitting here with what folks you should know this looks feels ways like a cruise missile
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although you don't have the the guts of it um i want to go back to uh the pentagon or someone calls
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you with a set of specifics how do you go from that phone call or getting that information to actually
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having a real cruise missile unless i have to go through lots of r&d uh lots of engineering specs lots of
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drawings testing all of it and then a big manufacturing facility that can make a prototype
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and then convince people that i can go full production just walk me through the big component
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pieces the ai part of this the uh the printing part of this and what is printing i mean how can this
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actually be printed and how do you manufacture it afterwards just walk people through the whole value
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chain okay so there are three components to a total system one component is the design engineering
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part of it one is taking that design and printing it and one is taking what gets printed and assembling it
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normally on the engineering side you're taking months years with because you have teams of engineers
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you're doing calculations you're having staff meetings you're you're going through your differential
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calculus this is wrong this is not quite right boom boom boom and that's a team engineering process
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yes imagine and there are different teams there's a team that's going to work on thermal there's a team
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that's going to work on the mechanical load characteristics its stiffness air dynamics imagine that those are
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actually algorithmic services meaning there is a computational simulation of flight for example
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so just like we see uh uh simulations of different things in the in the video digital world right
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we've seen the the revolution from analog content to digital content imagine that that engineering is
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being done in a virtual world that flight the the say this you know if you look this gets attached
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say to the wing of uh you know of a fighter jet obviously there are different loads where the fighter jet
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is flying there are different loads when it gets released all of that is being simulated or a car on
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the road is being simulated with artificial intelligence and the computers constantly simulate much
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much more much faster than humans can actually work it and have meetings and do their own calculations yeah so
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imagine you were playing a video game with race cars on the track except do we have this audio fine i just
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want to make sure because okay keep going imagine you have a video of like cars racing or a rocket
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going through there except that video is actually doing you know the microsecond calculations of what's
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physically happening and this is what artificial intelligence we talk about this is what it's giving us this is
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one of the great advantages of artificial intelligence the about ability to do these on an algorithmic
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age to do massive part types of computation rapidly and in conjunction yes and so what it's doing then
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is imagine as it's calculating these loads across this entire structure it's adding and subtracting material in the
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different parts that are uh being subjected to different stresses it's playing around with it yeah until
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it it it's perfect so it's not like hey make something light after you've built it and then
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see if it works this is everything is getting calculated until it said everything worked through
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the full simulation and it used the minimum amount of energy and material and therefore it's actually a
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perfect design for your requirements and that doesn't take place in 15 months it takes place in 15 hours
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and it doesn't take place with lots and lots of teams and iteration it's actually first time perfect
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then the second stage says three phases then i go to when you say print people think of of the
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industrial process that you you line this out you you've got uh you know uh tool and dies you do all
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that on a more sophisticated level when you say print out a 3d printer right what is a 3d printer because
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this sounds totally buck rogers sure and i'll just take a step back and say nothing that we're doing
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today is commercially available in a counterpart to what we're doing this was literally this is your
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system this is a total system development all of the software hardware in-house because you had had
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20 years from you're well we this fraternity of kind of goldman sachs guys that know everybody and the
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reason i've got zinger in here is that uh people the brightest people some of the brightest people
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i know were part of that fraternity mna and everybody's been telling me for the last two
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years said you've got to get to zinger's factory he's revolutionizing manufacturing because you've
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spent a couple of decades and working in different aspects of this area and coming up with the big
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idea of how to pull it all together so you've got 20 some years of actually doing this and now to have a
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total system first because from the vice president's office to capitol hill when you go make these
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presentations people are telling me hey this is the way that we not just catch the chinese communist
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party but we can leapfrog the chinese communist party but this comes from literally decades of
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experience of you to pull the entire system together correct exactly spot on so this is art as i said
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going from the typewriter to mac desktop publishing and revolutions occur not when you take a single
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technology even one as powerful as ai but it's when you take multiple technologies say ai uh plus
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robotics plus 3d pinning plus materials science plus machine vision and you combine them all together
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in a system that's when you make a revolution and so previous to this with another uh golden partner
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john i had a an ai company and so as you're looking you're going yes we finally have enough
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computational power that we can fully simulate not only in the digital world of digital content but
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in the actual physical world of atoms we can now do those simulations this is just not digital this
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is where you actually go from that to actual physicality right and so this is really the literally
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in planetary history the first full physical digital system for generating a perfect structure
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with fidelity printing it and then assembling it so let me move to the printing uh part of it so when
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you look at these structures like this missile system for example if you ordinarily were manufacturing
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it it would have over 200 parts the reason is that you would have a separate fuel tank and baffles and
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bracketry ai is doing things in the same way that nature designs a human body or flora or fauna right
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those are competing over eons for material and energy this is saying what's the minimum amount of material
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energy that i can have this thing remain uh intact and competitive right have it win right within the
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material energy world and that means that it integrates the fuel tank into the skin of this it integrates
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in the fuel lines and what that means is you're reducing the number of parts and by the way most of those
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parts were outsourced now to manufacturers that only exist in china you get rid of that part of the supply
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chain you make the supply chain much more efficient you make the final assembly much more efficient but
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you radically reduce the number of parts to simplify that uh supply chain then the question is like for the
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first time instead of for example steve taking the same gauge the same thickness say of sheet steel
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and simply stamping right so everything's the same this is adding subtracting so the material
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is varying everywhere just to meet those absolute perfection absolute pareto optimized
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perfection and that means then you have to find a way not to pour metal into a mold because that mold
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is not in three dimension structure it doesn't have internal structure or stamping something it means you
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have to be able to build in all of those different internal external dimensions thicknesses and so
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something like this imagine there's a fuel tank inside of an outer skin with different conduits
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the way that you do that is you take that structure and imagine that the machine
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digitally in the software slices it into hair with slices 100 micron slices and then digitally
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it sends those slices to a machine and i'll super simplify imagine the machine is a big box and at the bottom of that box
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there is uh laid down coated a hundred micron layer very quickly of it can be an aluminum alloy it can be a
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titanium it can be a marging steel for ammunition it can be a hanes 230 for a hypersonic it lays down that
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material and then like scanning the back of a television screen with a picture for that hundred micron layer it
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scans the picture of what that looks like onto that metal but when it scans that and you're using 12 two and a half
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kilowatt lasers it's creating actual solid metal out of that metal powder then it's adding the next layer
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again scanning adding the next layer and because it's melting in between the layers you end up with a
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solid object so imagine that this was cut into thousands of slices and inside that box you had
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coding scanning coding scanning coding scanning and then all of a sudden and there's a videos of us doing
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this on the web we've got uh b-roll up now you'll see that and it can and and what happens there is of
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those coats and things when does the final ones when all those sheets start to come together to have
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because this is the output what what happens is say a missile like this would be in one two three four
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sections those four sections would all uh be uh uh uh uh located within uh that box they'd be all fit
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together optimally so you pack as many different pieces as possible in and as you're scanning each layer
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might be scanning all four of these different pieces in different sections of that build plate
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and so what comes out and say this is 30 kilograms of aluminum and you're i'm using round numbers and
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you're printing at three kilograms an hour per machine you run 10 machines in one hour you've got this
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and when and then the next thing so you you have to be able to uh have a structure that has all of
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these unique geometries all of these unique uh functional integrations of things and write materials
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and you've got to do that with fidelity you do that through the machines that we've created over
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decades first we worked with another company and now we're doing it all on our own internally
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uh then the question is okay how do you assemble that right so it's design print and assemble and
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i'll take one step back by saying my 31 year old son uh who's now running the day-to-day operations of
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the company lucas zinger he uh soccer player uh division one soccer player in college electrical engineer
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also an inventor uh he was the lead inventor on the assembly system i was the lead overall inventor
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i've i have over in this company just this company i have over 220 uh filed patents that are a wide
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range of uh of patents the company itself has over 750 filed uh patents but on the assembly side you can
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say i i can now generate with compute power and ai the perfect structure i can print the different
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perfectly optimized lego blocks of anything in this printer now how do i put them together and
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one of the big problems with factories and i grew up working class youngest of five as you said played
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football that got me you're the only one that went to college right yes uh working class out of the
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cleveland was the cleveland area yeah i was in parma ohio this was kind of the working class eastern
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european work in the steel mill section of cleveland i worked summer labor at jones and laughlin steel
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mill i'd say in a name from the past in college yeah name from the past i mean in college i roughnecked
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and worked derrick's uh out of morgan city louisiana to to make money in the summer during uh during
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college uh and so uh the problem is factories are built even today whether it's toyota or tesla for
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one or two different models because the factory itself has the fixturing has what it takes to align
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different things and say weld them together we revolutionized things by saying don't build assembly
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into the factory and make the factory design specific make it design agnostic by putting
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the assembly features printing the assembly features into each structure so imagine you've got the
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perfectly optimized lego block in uh you know in uh you know digital form you send it to a machine
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that machine then prints those you know with fidelity creates those with the right material then you have
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the same assembly cube that's basically a universal assembler so what we build for aston martin for the aston martin
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vantage like this is fully commercialized there are aston martin bandages out there driving with divergent
00:25:13.340
southern california design manufactured and shipped to england frames or whether it's a lockheed martin cruise
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missile system we're generating those those structures uh you know the same printer is printing and then
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the same assembly cell picks up those lego blocks on a little mobile robot lifts them up uses a patented
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system we have which is a machine vision system to align these pieces together and imagine the lego
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blocks just come together boom boom boom so this takes a couple of minutes to assemble a couple of
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minutes to assemble yes and by the way this can immediately shift from assembling for aston martin
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or mercedes or bugatti or mclaren all of whom are customers to assembling for northrop or general atomics or
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all the control or anybody out there right it this is design agnostic meaning you know how amazon web
00:26:15.420
services can process anybody's data this is a system where these tools will anything that's
00:26:21.580
generated on these tools apart for a high-end automotive uh car or a cruise missile hang on for
00:26:27.580
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00:31:03.020
okay welcome back um kevin you've you stuck the landing so in the first part we went all the way through
00:31:08.860
from theory to actually get the end of a product and that product could be a commercial product for
00:31:13.500
an automotive company high-end medium and it could be a cruise missile advanced weapon system or anything
00:31:18.860
in between i want to walk now because so many smart people people have been your friends and colleagues
00:31:24.460
for years that have said you got to see what zinger's doing he's revolutionizing manufacturing we
00:31:29.260
understand the war rooms at the edge of the cutting edge of hey re-industrializing america
00:31:34.540
also people in this city whether it's over the defense department whether it's uh on capitol hill
00:31:40.300
in the white house in the west wing people are saying this may be our solution to as you said
00:31:46.300
not play at the sputnik level but get to the moon level like we did back in the 60s walk us through
00:31:52.620
first of all is the concern was one of the concerns you're going to wipe out all the manufacturing jobs
00:31:57.660
here or is this product that you we don't have right now that we need to have built in this country
00:32:03.020
i think it's a fundamental fallacy to look at some technology and say oh is this going to bring
00:32:10.780
up back the jobs that we had in the same kind of factories from 1950 obviously people do not go back
00:32:18.860
in time they advance if you look at amazon web services for example what happened back in the 1990s
00:32:26.860
if you and i wanted to start a software company we literally had to set up our own server factory right
00:32:33.420
huge capital barrier huge time barrier then you have amazon web services all of a sudden you didn't
00:32:39.900
have tens of developers of products you literally had tens of thousands of developers in an ecosystem
00:32:49.420
provided by the infrastructure of a company that said here's the cloud here are the tools imagine that
00:32:56.620
what happens in the united states and these factories not one factory in torrents but hundreds of factories
00:33:04.940
across our nation across our allies countries are all in a network where people locally can develop
00:33:15.260
almost anything they want so companies from large companies to small startup companies all of a sudden
00:33:22.700
they have the economics of an apple but unlike apple they're not using foxconn they're using a much
00:33:30.220
more advanced digital version of that localized nationally across the united states that's how we should
00:33:38.940
think that's how our president who's a disruptor does think uh that's why i'm thankful to be on this
00:33:47.740
show because i think it gives us the opportunity to say look at this you've got a dead serious fully
00:33:56.540
commercialized solution at that point where in america america owns this all we need is the will
00:34:05.260
and the planning to scale it and we can make this happen in a transformational when you say you're
00:34:11.100
design agnostic too for the assembly you're also saying i'm not chained to have to go to uh re um
00:34:18.060
refurbish older manufacturing facilities etc because your facility in torrents correct me if it
00:34:24.380
wrong because that torrents had a lot of light manufacturing you actually went into an old fedex
00:34:29.180
uh warehouse a deposit a distribution center you took that over right that is your manufacturing
00:34:37.420
facility today the your beta site test yes so imagine and i was talking about uh the printing of
00:34:45.020
the six parts of this system and then their assembly in a cell and the printing taking about an hour and
00:34:53.020
the assembly taking a few minutes imagine you have one cell and tens of printers all doing different
00:35:02.140
things each of those printers is design agnostic meaning say i i have across that nationwide network
00:35:10.540
i was talking about we'll just make up a number 10 000 different things that i'm doing a printer literally
00:35:17.260
could have data sent to it from any one of those 10 000 things and print it in one hour
00:35:22.780
and have some other thing sent to it the next hour and print that and any of them can then send it
00:35:28.700
to the assembly cell and have it assembled so it is and like mac desktop publishing think of mac desktop
00:35:37.660
publishing plus a ai generates a comic book or it generates a novel it doesn't matter format
00:35:45.580
sends that to a machine and the machine simply prints out what that is that machine doesn't change
00:35:50.620
it doesn't reconfigure that's what we're doing with printing uh and with uh assembly that allows and
00:35:59.100
this is a core part of the vision each factory each machine is for multiple industries multiple
00:36:07.020
companies multiple products give me an example of that automotive across any number of different
00:36:14.220
types of vehicles unmanned air land sea and space vehicles uh uh bell crank for the tail rudder of
00:36:21.900
the c-130 as a maintenance part uh you know an intercooler we just printed uh uh for indopacom for
00:36:30.220
an amphibious uh vehicle uh another part that we just did for the u.s army thousands of different
00:36:37.580
sustainment parts everything from existing missile systems that we use to all of the newest lower
00:36:46.060
cost need for adaptation uh unmanned air land sea and space vehicles each machine can print many most or
00:36:56.220
all of the different parts of those and then uh that assembler assemble them in a design agnostic way
00:37:02.700
meaning shifting capacity in whatever way and you can also since you can do these in any size you
00:37:08.220
want you can put it to you can cut logistics time and transportation time actually building the fact
00:37:14.060
that this your factory close to if there's other like near the near the automotive industry or near the
00:37:21.020
aerospace industry or near whatever if the some of that let's say down in alabama where they've got some
00:37:25.980
of the arms manufacturers you can put a factory right there that can then feed it right into the
00:37:30.940
bigger process yes so that you know we're we're working with every single major prime plus many
00:37:38.780
of the new primes and and smaller uh defense uh contractors prime defense contractors and we're
00:37:46.220
in discussions with many of them about our locating and owning and operating for them facilities is the
00:37:52.220
capital investment in these plants so high is that prohibitive or is it that lower and makes it more
00:37:57.820
attractive i'm trying to think about every negative every negative argument here we have about a six
00:38:04.380
month capital payback per factory that's it that's it less than six months and by the way we build we
00:38:11.580
build the machines of our factory our printers and assembly systems in our factory so this is a localized
00:38:18.460
factory that replicates itself and that versions itself so whereas like you were having communities
00:38:27.660
gutted gutted in places like ohio because a factory that could only do a couple of products
00:38:34.540
became obsolete this imagine is this network of factories is sharing data and upgrading itself and so
00:38:42.780
you have permanent manufacturing footprints in those communities that just grow and learn that's why
00:38:49.420
america can capture the future now one of the things we've been talking about is is this huge fight
00:38:55.740
that's going on with um with um the deficits and the debt and the budget and the war room is very
00:39:02.540
much into this and we've argued for a while you got to cut the defense budget you can't get to a
00:39:06.860
trillion dollars you got cut a hundred billion dollars one of the things it correct me wrong that
00:39:11.660
you've run up against is kind of that mid-level senior people see the vision and see why this is needed
00:39:17.980
so rapidly because we got to leapfrog the chinese communist party but just the way the system works
00:39:25.500
right and i'm no defender of elon but he got a little bit of this in doge when he was going around
00:39:30.380
we do have a system in place in the imperial capital that's just the way things roll and it it it it's got its
00:39:38.540
own ways it rolls is that's what's holding this back from us rolling this thing out and getting
00:39:45.420
people in back of it is that just to get the approval at least on the side of the defense
00:39:49.980
industry where you could be making a lot of different products everything from vehicles
00:39:54.700
not just cruise missiles but your actual jets uh you know tanks uh humvees all of it is that is
00:40:02.620
is it the mid-level that you're stuck at the short answer is yes uh what i would say is you have
00:40:12.060
people you know and and you served i i served in the marine corps reserves as infantry riflemen
00:40:19.580
you know these are people of goodwill yes but they are in a position they're in a system where they're
00:40:25.020
in a system and they're told this is the manual that tells you how to validate and do airworthiness
00:40:32.940
for a process that's 75 years old for casting and then they're being asked to all of a sudden
00:40:41.340
look at something that is 20 years more advanced than any other place on the planet they can do it
00:40:46.700
in 15 hours and they're not 15 hours people then they're saying yes we want to do this but how do we
00:40:54.140
understand it who gives us the top cover and part of why i'm in washington is that at the
00:41:01.500
command level we've got super strong support at the white house level up through the vp we've got
00:41:09.260
strong support at the pentagon level we've got strong support in congress people like chairman cole
00:41:16.220
uh chairman kelbert are giving us very strong support that needs to though with a real sense of urgency
00:41:25.980
look and say we can transform things we've proven that this technology works it's already in an adjacent
00:41:35.020
area fully commercialized it is absolutely urgent we now need to apply it and give these people you
00:41:43.980
know of good intent and goodwill in that frozen middle the capability and the tools not in the normal
00:41:51.820
cycle cycle of years and years and years but something that says china 2027 is real like we
00:41:59.580
don't have the next hour to waste when you say 2027 because we're going to get to the commercial side
00:42:05.260
in the time we get remaining but back to the defense side uh it is quite evident that particularly with
00:42:11.340
the fall of as we talked about on the show today the fall or yesterday the fall of korea uh
00:42:16.780
hexa says hey a a attack may be imminent in taiwan that deals with the south china sea and the ability
00:42:23.900
to us to defend something that's only 90 miles off the coast and the seventh fleet may not be up to
00:42:28.700
it you're saying if their timeline is 2027 this right now of all the alternatives out there is the only
00:42:36.300
alternative that can get us to a place that we could actually defend ourselves from an attack by the
00:42:42.060
chinese companies part of the people's liberation navy you know respectfully and most respectfully
00:42:47.340
because i you know i was an 0311 rifleman i was a lance corporal carrying carrying an m16 at that time
00:42:55.580
but i you know i i obviously know a bit what what i would say is you look at systems like this
00:43:01.500
traditionally manufactured for something like say an anti-ship cruise missile you might be able to build
00:43:08.300
four or five hundred a year one of our printers can print four hundred of those a year ten of those
00:43:16.220
could do four thousand right a hundred of those which you could easily build could do forty thousand
00:43:25.100
that's a wall of steel that between now and 2027 could be built and that's real deterrence and there is
00:43:34.940
absolutely respectfully no reason why that shouldn't be done not just a wall of steel but correct me if
00:43:43.340
i'm wrong the unit cost would be a tenth a much lower much lower half much lower much lower i mean you're
00:43:51.020
talking about systems that are in the hundreds of thousands rather than in many millions yes and in
00:43:57.020
a time that you shrink down from concept to the battlefield of months instead of years or decades
00:44:04.380
and let me add two additional aspects to that right in the ukraine we saw adaptation is super important
00:44:14.460
right like you're changing constantly yes everybody is saying the problem with hardware is you can't
00:44:21.500
develop it as fast as software here you can develop hardware as fast if not faster than software something
00:44:28.060
happens it's not like you've built up a bunch of inventory you need to put a new seeker in this
00:44:34.220
any machine anywhere you generate a new design any machine anywhere can print and assemble this
00:44:40.780
anywhere you have an ally say somebody in AUKUS or NATO goes hey we want to use
00:44:47.660
our 150 pound thrust gas turbine jet engine for this cruise missile you generate a variant and
00:44:53.580
you build it wherever they're at that allows you to adapt super fast extend the supply chain have
00:45:02.300
suppliers compete and be qualified for every single part and the machine itself then becomes the
00:45:08.460
integrator and an integrator with zero tooling zero fixturing and design agnostic production and assembly
00:45:16.060
one last time in the way the pentagon looks at it in our national security community the 20 20 27 which
00:45:21.900
is like the year people are most worried about you're saying that your total system is the only way
00:45:28.460
practically that we can leapfrog get even to the chinese and practice and and leapfrog them on just
00:45:35.260
the quantity and quality of weapon systems today well i would say saying it is the only way the only way
00:45:43.100
i know maybe somebody has another way all i i mean it hasn't been presented i'm a patriot it hasn't
00:45:48.940
presented it hasn't been presented yeah it hasn't come up to the system you know what i'd say is we're
00:45:52.860
working even with the major primes are saying we need to work with you uh what do i know a hundred
00:46:00.220
percent missouri prove it to me we could take anybody to our factory show them the rate at our machine show
00:46:07.180
them the stability show them how fast we do this and say can you could we do 40 000 anti-ship cruise
00:46:14.460
missiles by 20 27 absolutely positively everything on the line yes yes yes and then i would say you know
00:46:24.940
macarthur said that that the one thing that he knew about how you fail in war is be too late right and you
00:46:34.140
know what we don't have an hour to waste against the chinese communist party okay i want to go to
00:46:39.500
the course side we just got a couple minutes for people out there saying hey this would be perfect
00:46:43.500
in our community etc on the commercial side not related to defense what you're doing for a certain
00:46:48.700
automotive industry other component parts what's holding you up from rolling out this system
00:46:54.220
throughout the country i'd say what we need to do is have a catalyst we shifted about two years ago
00:47:01.580
because of the need of the defense industrial base for this technology to focus on that what i would
00:47:08.380
say and what we're talking to the government about is building within the next year five factories uh
00:47:18.140
for about 250 million dollars i think that would catalyze factory or no 50 million 50 million per factory and
00:47:27.740
that means these would be factories up and running and producing parts sustainment parts uh existing
00:47:35.980
missile systems new missile systems so this is up and running producing at capacity out of these
00:47:43.020
five factories i believe and and i mean you know uh you know the capital markets they would look at this
00:47:51.020
and go okay money should be going into this i think we do that we we have that catalyst we're going to
00:48:01.100
have a hundred plus factories quickly we're during this administration that will transform this country
00:48:09.100
in ways that are unimaginable um where do people go i want to make sure people go we've played the b-roll i
00:48:15.580
want to make sure people go see the videos uh whatever live stream or whatever you have at the torrents factory
00:48:21.660
your social media website all of it because i know you're going to go out and and do a lot of media
00:48:26.060
but we want to make sure the audience the audience loves the receipts they'd love to get into the the
00:48:29.900
live streams or whatever you have the factory where do people go to get all the information about uh
00:48:33.900
about divergence and is this do you have this a simple type of presentation up on the website people can go through
00:48:39.900
yes you'd go to divergent3d.com uh if you go and that has all of the videos it has a short video
00:48:48.700
obviously we don't show everything on that video because there's a lot of in some proprietary
00:48:53.980
and certain classified i'm sure but i'm lucas and i my son lucas and and i are super looking forward to
00:49:01.740
hosting you there no we're gonna come we're gonna come out and do the war room from the factory floor
00:49:06.220
i want to take people around and and show them everything right you know i've had of one of the
00:49:11.820
most famous technology companies out there the cto walked out and said when i had this first explained
00:49:18.300
to me i thought no way right it's like this is this is west world what no no for the kind of world
00:49:24.460
because the guys you know we we came up with they're not technologists like you they didn't
00:49:29.020
shift they're investment bankers they're financiers but they're smart people i've had somebody that crowd
00:49:33.420
say you got to see kevin's thing but they're not technology guys then when i heard that this is
00:49:38.540
so important for defense i started doing checkings and people that are heavy duty on the manufacturing
00:49:44.620
side it's told me consider this is the future of american manufacturing you want to have a
00:49:49.180
manufacturing renaissance quickly that this is the way to kind of turbo charge us and so everything
00:49:54.540
i've seen of course bringing the cruise missile into the war room we greatly appreciate kevin zinger
00:49:59.340
thanks so much founder and you've done a uh god bless you you're in no dude you're you're the
00:50:04.380
you're the um you're the american story working class family uh we're the american story as ethnic uh
00:50:11.580
served in the marine corps uh went to a uh went to a uh pre-woke ivy league uh ivy league uh school and uh
00:50:21.100
and of course now serving your country and doing this and this is going to be a big deal we appreciate
00:50:25.660
you coming in and sharing it with the war room because now people can start to understand it and
00:50:28.940
we'll we'll prep everybody for our live uh factory floor which uh is right next to where mo bannon was
00:50:35.100
raised in manhattan beach torrance is right there it's the inland city of it so we're looking forward
00:50:38.540
to come out there and seeing you looking forward to it and i'd just say to all all the marines out
00:50:42.540
there semper fi semper fi we got a big veteran so marine marine turned out good not an ex-marine former
00:50:49.340
marine as all you guys are and by the way i have the great honor of having general peter pace on my board
00:50:54.780
wow chairman of the joint chiefs and a wonderful wonderful human being and by the way real quick
00:51:00.700
pay com indopay com talk about that the admirals have been out and been blown away by i mean i i can't
00:51:08.380
i don't think i've ever been more impressed by a a human being that i am by admiral uh sam paparo who is
00:51:16.540
uh the commander of indopay com that's for your audience 60 of our entire military the way the
00:51:23.340
weights on his shoulders against the ccp he spent a lot of time in here he always says to me kevin
00:51:29.260
tell people the extensive engagement i have in this i believe in this great he's an amazing man
00:51:36.300
and i'll say he has a great quote and i was just speaking at an ai conference number one sustainment
00:51:41.820
uh is what won the second world war and that was america number two we're not going to ai our way out of
00:51:48.860
a material deficit we're going to see you tomorrow morning at 10 a.m when we'll be back in the war room
00:51:54.860
see you then what if he had the brightest mind in the war room delivering critical financial research
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