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Speaker 1: All right, welcome to six year agenda.

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Speaker 2: How we doing tonight? Happy Sunday.

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Speaker 1: For everybody who's joining me live, Welcome and thanks for joining.

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Kaylie Bolan, you got you started up here. Thanks for

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joining the club. You are a member. That's awesome. If

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anybody else that wants to be a member wants to

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get everything ad free, instant access to all the episodes

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right away, then you just gotta pay a little three

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bucks and you can join on Patreon, YouTube, or Spotify.

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We are versatile, so you don't have to sacrifice whatever

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platform you're on, unless you're on Apple. Apple kind of sucks.

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They don't really have any options there, but I'll work

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on getting that over there for you guys. Other than that,

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we've got a banger tonight, a live show. It's going

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to be about cell membrane computing. It's probably a term

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not many people have had heard. I just heard it recently,

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but it makes sense whenever you get into it, like,

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oh okay, I've heard a lot about this but not

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understanding what it was. So yeah, it's really crazy. It's

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gonna be awesome. I'm excited for this one. So we

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had our breakdown of the MK Ultra hearing the other day.

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I'll be releasing that later. That's under the membership archive

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right now. Isaac wisop episode. I just did pop what

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is it? Pop Culture and Occult pop Culture? I was

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on there and yeah, it was a great time.

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Speaker 2: Dude. We got into a deep dive.

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Speaker 1: It had to be short, so I had to fit

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a lot into an hour, but it was a good time.

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Speaker 2: Cell membrane computing is a crazy topic.

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Speaker 1: It's it's all encompassing with everything that we've been hearing about,

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and it's kind of crazy.

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Speaker 2: Whenever you start typing in.

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Speaker 1: The actual name of things, you start getting the answers

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that people have said was a conspiracy theory all along.

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So you'll see what I mean as we get into it.

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Speaker 2: But I'm very excited.

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Speaker 1: I just did an episode with Nugget News today so

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that I'll be coming out soon, so be on the

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lookout for that. So very exciting stuff. I hope everybody

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enjoyed their Fourth of July. They were going crazy here

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it was. You know, I live in Missouri. I've said

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that before. I looked it up yesterday.

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Speaker 2: Missouri is the number one user of fireworks and I

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shit you not.

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Speaker 1: It sounds like a war is going off for five

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six hours, eight hours every year everywhere in the area.

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It's crazy, but yeah, it was a good time. Welcome in, Jeff,

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you made it on time. That's awesome. Nephunter, thank you.

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Smash that light button. Everybody that's here, and if you're

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watching in the free archive then you got ads and everything,

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thank you.

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Speaker 2: It helps a.

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Speaker 1: Lot just skip past them, but otherwise join up. Welcome in, Mike,

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Welcome in Jeezy, and neph Hunter. Everyone still have all

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their fingers from this weekend.

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Speaker 2: I do. Luckily I need them for work. Still.

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Speaker 1: One day maybe I'll just need my brain just do this.

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I'll still need my fingers though. So anyway, man, some

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membrane computing. I kind of stumbled along this as I

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was looking into what that Coca Cola conspiracy was. Has

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anybody seen that Coca Cola conspiracy. I think it came

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out first. I first saw it in twenty twenty around COVID,

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and it was that whole thing about people finding like

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fluorescent nanobots in side of Coca cola, right, And at

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the time, you know, it just sounds crazy.

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Speaker 2: No way, Well, time goes on and they're actually had.

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Speaker 1: There's some weight to this theory, and so we're gonna

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get into that. And not only that, but we're gonna

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get into what is it like, what is this thing

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that's inside of Coca Cola's products? And so as we

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get into that, we'll find Epstein ties. We're gonna find

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a lot of vocabulary nonsense that we have to work

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through to get to the answer of things, because that's

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the way all this science shit works. These science techno feudalists.

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They make it really hard to understand what they're trying

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to do. But don't worry, we're gonna break it down.

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Nanotechnology in it, yep, that's what it was. They had

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that nanotech. So here is a we're gonna start off

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with this. So this is recent, okay, but it's so funny.

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This guy actually that put this out two thousand and four. Dude,

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look at this two thousand and four. This guy first

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put out pepsi having this going on? I think, why

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does that say two thousand and four, oh, twenty twenty four,

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I'm like dyslexic.

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Speaker 2: So this guy two years ago was talking about this.

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Speaker 1: All right, so let's check this out. Now, this is

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a new deal that Microsoft just did. Now remember who

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has the patent for the six six six patent is Microsoft.

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That is a Microsoft patent, and that is the one

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where you can't get paid unless you do what you're

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supposed to do as far as meeting the conditions. And

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you have sensors inside your body that check you. Well,

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this could be how they get it in you, besides vaccines.

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Speaker 2: Right, guys, you can't make this shit up, man.

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Speaker 3: So Bill Gates inks a billion dollar deal with Coca

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Cola and we find.

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Speaker 2: Out that Coke. I'm not playing that, dude.

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Speaker 1: They got they got music playing in the background.

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Speaker 2: Come on here, we'll play this one.

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Speaker 4: Signed a five. Coca Cola just signed a five year,

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one point one billion dollar deal with Microsoft for use

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of their cloud computing and artificial intelligence services. Five years ago,

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it was discovered that there were fluorescent nanoparticles in Coca Cola. Now,

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if I were a conspiracy theorist, I might think there

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were more to this partnership.

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Speaker 2: Now she's talking about.

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Speaker 1: She's talking about the fluorescent nanoparticles that were found inside

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of it. And I can show you here. Let's look

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this up. Fluorescent nanoparticles. Here we go in Coca Cola.

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So we got oh, here I'll go back to this one.

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This one's little well, Taylor Francis is one right here.

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Fluorescent nanoparticles present in coca cola and pepsi physiochemical properties, idotoxicity, biodistribution,

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and digestion studies. But look at this food borne nanoparticles

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nps and as you get in here it starts talking

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about SP three's maybe it doesn't. So I started looking

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into what this is here.

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Speaker 2: It is here.

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Speaker 1: It is the presence of SP three hybridized carbon atoms

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of alcohols and ether bonds were confirmed by NMR analysis.

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Speaker 2: Okay, so they confirmed that this was inside of there.

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Speaker 1: So I was like, okay, what is an SP three

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hybridized carbon atom?

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Speaker 2: Right? What is that?

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Speaker 1: Well, let me go ahead and pull that up. Hold on,

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I got to share this other screen here. So there

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it is kind of grapheneoxide, but it's not. So that's

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the weird thing here. So we're going to look at,

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first of all, did covid have SP three carbon atoms

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in them? Okay, because we need to know did it

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have hybridized carbon atoms because this is the whole conspiracy

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theory about COVID vaccines and them having grapheneoxide inside of

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covid vaccines. Well technically they didn't have grapheneoxide in covid vaccines,

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but I'll explain to you how that's them playing with words.

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As I explained earlier, it's a lot of wordplay here.

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So yes, covid vaccines contain countless SP three hybridized carbon

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atoms because they are constructed using standard organic biological molecules.

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Every organic compound fat, sugar, and nucleic acid relies heavily

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on SP three carbon bonding.

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Speaker 2: But they use those in cell.

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Speaker 1: Membrane computing as well, so we're gonna get into that.

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So lipids, nucleic acids mRNA vaccines they include, sorry it's

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getting a little crazy here, nucleic acids mRNAs. The messenger

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ina itself includes a sugar phosphate backbone. So see they

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try to say it's almost like a natural thing, but

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it's not, because it's in in our RNA vaccines, the

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messenger vaccines, which are causing problems with people. And as

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I'll show you, that is because of this, I think

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the membrane computing, and we'll get.

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Speaker 2: Into what that is itself as well.

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Speaker 1: But here, what is the difference between graphine oxide and

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SP three nanoparticles, because if you look up as graphine

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oxide and COVID vaccines, it says no. But graphine oxide

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is SP two hybridized carbon atoms.

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Speaker 2: So it's just one little difference.

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Speaker 1: So let me pull this up here, all right, So

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graphinoxide is a two D material containing a mixture of

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carbon atom. That was wild, all right, my apologies? All right,

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Well I'm gonna have to edit that out, aren't I?

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Speaker 2: Where were we? Uh? Well that really sucks. We lost everybody?

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Speaker 1: Well that's okay, all right, So I guess I gotta

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watch what I'm what I'm.

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Speaker 2: Saying here, don't I? Guys?

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Speaker 1: Fucking hole, the whole electric went out, the whole house.

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I was sitting here just looking at this laptop like, damn, yeah,

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lost lost the good amount of people, didn't not, Jeff.

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It's all right, though. We will just work our way

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back in. It is what it is. What can we do?

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So I was talking about what the difference is between

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SP two and SP three hybridized carbon atoms are s

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P two is grapheneoxide and SP three is what we're

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finding in all of this stuff. And so we're gonna

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look at the difference between the two and try to

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figure out what this has to do with cell membrane computing. So,

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graphinoxide is a two D material. It contains a mixture

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of carbon atom types SP three describe it's the geometric

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bonding state of an individual carbon atom. Do you see

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how there's only the difference in the geometric bonding.

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Speaker 2: State is the only difference here.

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Speaker 1: So during the oxidation state of graphi SP two carbon

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atoms convert to SP three as they bind with oxygen,

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causing structural distortions and insulating properties. So there's not much

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of a difference, do you see. So they're playing with

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words a little bit in my opinion here when they

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say that there's no graphinoxide in inside of COVID vaccines,

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because clearly why I'm not saying all the keywords here,

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but clearly there is something going on here. So let's

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look at here we go. This one explains it really well.

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How close are the two together to each other? Well,

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if you look at it, one of them is just

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a triangular it says here. One of them is the

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trapezoidal and one of them is triangular, So you have

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the bond angles is what makes the difference. So and

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SP three carbon features a tetrahedral geometry with bonded angles

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of one hundred and nine point five degrees, whereas SP

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two carbon features a trigonal planar geometry, so it's more

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two D. It's flat with bond angles of one hundred

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and twenty degrees. Crazy chemistry. Shit, I don't think there's

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too much of a difference here. That we're again splitting hairs.

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So it is essentially the same structure. And so this

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hybridized carbon atom is what's being used inside of cell

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membrane computing. So I'm just explaining like what it is

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before we get into and how it's related to graphenoxide,

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before we get into what cell membrane computing is itself,

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because they both. You have to understand what one is

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to understand how it interacts with cell me with the

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computing aspect. So it's a little nerdy, but we're gonna

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do it all right. So, man, I can't believe my

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power went out. That was crazy. It went out and

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came right back on. They were trying to fuck with

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your boy. I'm telling you. SP two hybridization involves the

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mixing of one s orbital and two p orbitals to

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form three equivalent hybrid orbitals, whatever the fuck that means.

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Speaker 2: SP three hybridization.

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Speaker 1: Mixes one S orbit with three P orbitals, So one

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uses one, the other uses two, the other uses or

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one uses one the other uses one, and then one

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uses two p's and the other uses three, and it

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forms four equivalent hybrid orbitals. So it's just chemistry bonds

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of elements and shit. But it seems to me that

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obviously there's a little bit of a difference, but not much.

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So this is what they're using inside of like the

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Coca cola.

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Speaker 2: This is what they're using.

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Speaker 1: Inside of the RNA vaccines and everything else. As we saw,

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there's multitudes of SP three hybridized carbon atoms inside of

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COVID vaccinations. So this is what they're using for the

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cell membrane computing, which we're gonna get into. Epstein funded it.

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We've seen Bill Gates emails with Epstein talking about pandemics,

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and you know, it's funny that Bill Gates was the

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front runner. So clearly there is something going on here.

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Let me pull this up here. There's gonna be a

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lot of share share and takedown going on. But all right,

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so this kind of explains the structure of what we're

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talking about. So scientists teach human cells to compute like

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their tiny computers. Scientists at a Hebrew University of Jerusalem.

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It's always in Israel. You know what I'm saying. I

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didn't say. I didn't type this out. They've engineered human

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cells to perform computations and make decisions using synthetic gene circuits.

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So instead of relying on complex, multi layer genetic pathways,

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the new system uses RNA transplicing and engineered regulatory elements

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to produce multiple biological signals. And so researchers have demonstrated

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cellular versions of computer components, so they include a binary

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full adder and signal multiplexer. I'm going to explain how

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all this works in a second. The technology could enable

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programmable therapeutic cells that detect specific disease signatures and release

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treatments only when needed, or it could be used for

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nefarious purposes in the same way, potentially improving precision therapies

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for cancer and other diseases.

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Speaker 2: So this is kind of the idea.

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Speaker 1: So I will explain what cell member and computing is,

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and I'll go ahead and leave this picture up here

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while I get into what cell membrane computing is. So

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hold on here, let me pull this up. Everything I

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all messed up when my power went up. I had

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everything all pulled up. Okay, crazy man, they try to

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get your boy.

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Speaker 2: Okay.

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Speaker 1: So the cell membrane, you can think of it like

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a phone screen, right. It doesn't protect what's inside, but

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it also can decide what gets in and out of it.

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The cell membrane decides what gets in and out of

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the cell. It receives signals from the outside of the cell,

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and it can send information to the inside of the cell.

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So clearly somebody realized, what if we could use billions

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of living cells like billions of tiny computers. The basic

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idea behind cell membrane computing is that cells already process information,

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so they already make decisions like is there enough sugar nearby?

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Should I divide myself? Am I under attacked? Should I

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make proteins?

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Speaker 2: Et cetera. That is what your cells do.

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Speaker 1: I mean, I'm sure you guys, a lot of you

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may remember this from science class, but we obviously need

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a little bit of a recap here to understand what

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it is that they're doing. So they're kind of like

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Wi Fi antennas, right, the signal can come in a

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receptor to text it, and then the cell processes that

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and the cell response, and the membrane can act like

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a kind of like a gate for logic. So if

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this happens, then I need to do this, and so

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they can hijack this. The whole idea is they want

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to hijack your whole system here. So cells do the

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same thing as computing. So like insulin is present, glucose

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is high, then they open the glucose channels. So it's

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biological software that they're creating and hacking into. That they're

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hacking into rather so you don't anyway, they're trying to

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write biological programs for your cell. That way, if you could,

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if it de texts, can it could produce a drug,

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or if inflammation is detected, it can turn off a

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gene that might be producing that inflammation. Sounds great, you know,

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sounds like we're playing god a little bit, but it

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sounds good.

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Speaker 2: The reason why it's.

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Speaker 1: Called computing, of course, is as I said, it's taking

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information in processing it and then producing an output, which

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is what a cell membrane does, just like a calculator

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your brain, you know, what I mean cell computes. So

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instead of a silicon chip, they want to produce proteins, ions,

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DNA receptors, and cell membranes. You know, with their technology,

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they want to be able to hijack all that. Researchers

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are increasingly using AI to design biological systems, so AI

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can predict how proteins fold, how receptors respond, and what

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DNA sequences will create desired behaviors. So they don't program

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the code. Scientists are trying to program the cells. So yeah,

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people are getting concerned a little bit because of course,

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well we'll go with why people like it. Of course

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you have the smart drug deliveries, artificial organs that you

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can do with this, tissue repairs and better cancer treatments.

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Speaker 2: As I mentioned.

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Speaker 1: But of course me and others speculate how this turns

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into a networked biological system. And a highly networked biological

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system is something we're going to get into in a minute.

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But it takes smart dust, the cell membrane, computing, all

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the stuff we went into, and this creates this hybridized

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i'm sorry, highly networked biodigital system. It's a little speculative now,

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but I think that we can see kind of the

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writing on the wall that that's what they're building. So

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imagine that an entire city. Every house is a cell,

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every front door is a membrane, and every as a receptor.

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So every homeowner follows instructions.

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Speaker 2: When someone rings.

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Speaker 1: So if you rewrite the instructions in every house to

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be like when the mail arrives, bring it inside, right,

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et cetera, so you can start telling the cells what

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to start doing whenever certain things happen. This can be

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done for good or bad, obviously, So we're going to

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get down to a little bit of highly networked biological systems.

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So this is the idea that instead of looking at

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cells as isolated units, you think of all the cells

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as nodes in a giant communication network. So this is

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what I've been trying to explain that they're trying to

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do this with people. Every person is going to be

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like these cells, where each person will be a node.

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It'll be micro kind of fractal where it grows, and

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that's kind of how they're trying to create this. It's

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a replication of what God's creation is, which is fractal

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in nature, and so they're trying to replicate the fractality

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of the universe that we live in digitally, so similar

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computers connected to the internet.

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Speaker 2: Some of your biology is connected with each other. So

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let's see here. Your body's already a biological network.

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Speaker 1: Of course, your body is constantly sending information through several systems,

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your nervous system, hormones, immune system. Your cells are involved

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in all this with talking to itself to send signals

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for whatever it might need, sell to sell communication where

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neighboring cells exchange information directly through structures like gap junctions

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or by releasing signaling molecules. So anyway they want to

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engineer a network, they're exploring ways to make a biological

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system that's more programmable, where they can engineer immune cells

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to detect cancer, create cells to release insulin on when

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glucose reach certain levels, and design tissues that respond collectively

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to injury. This is the way for the transhumanist movement

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to live forever and all that stuff. So bioelectronic interfaces

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we talked about that a lot here, of course, is

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an active research connecting all of this stuff together, which

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is the brain, computer interfaces, the retinal implants, wearables, and implantables.

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This creates the internet of things and Internet of bodies

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and the Internet of bodies and Internet of things is

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how we create this biodigital convergence, which is of course

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when you become a node in the system, just like

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your cells.

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Speaker 2: Right, that fractal nature we talked about, it gets really

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crazy and really weird.

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Speaker 1: And I understand that this is like out there, But

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at the same time, this is stuff that scientists have

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been not even working on it.

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Speaker 2: It's already in.

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Speaker 1: Your Coca Cola, guys, like it's in your drink, it's

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in your pepsig's in your coke. And think about what

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they own, Hope and pepsi on so much shit that

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it's in everything they own.

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Speaker 2: So just keep that in mind.

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Speaker 1: So, some researchers have imagined interconnected biological systems, like networks

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of implanted medical devices communicating with each other, engineer itselves

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that coordinate complex therapeutic responses throughout the whole body or

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poisonings or attacks, Distributed biological sensors monitoring health in real time.

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I mean, this could be great if it's monitored and

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you know it's done right, but I doubt it will be.

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So the collective intelligence hive mind, remote control of people

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fully networked human consciousness is where this kind of could head.

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There's no credible scientific evidence, of course, that today's technology

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can remote control human thoughts or create a true hive mind. However,

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we've seen that there is with mind wars. There's there's

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a way to do that through social media, et cetera.

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It gets easier. So let's talk about smart dust. How

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to smart dust. We've done a show on that in

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the past. Smart dust plays a role in this whole

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system here that we're talking about. It's the idea of

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creating extremely small sensors millimeters or micrometers in size, and

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these can sense their environments light, pressure, temperature, chemicals, motion, everything,

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and it can perform a little bit of computation. Of course,

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it can have help with your cells to do you

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know that does the rest, and it performs a small

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amount of communication as well, and it can operate very

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little power. So it's a tiny wireless sensor rather than

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a miniature computer. And it's referred to as dust because

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how tiny it is. And they just they just put

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out a cloud out of it. Dude. They blanket everything

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they want to blanket at all. They're like little weather stations,

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is what you could think of them as so it distributes.

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These sensors form a distributed network thousands of little weather stations.

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So researchers have also explored whether tiny implantable ingestible sensors

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like the smart pills. Of course, you have neuralink, you

403
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have wearables, quantum dot vaccines and shit. This is sometimes

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discussed under bioelectronics. Of course, implantable sensors or neural dust.

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It's all being studied on using this on people to

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monitor blood chemistry, can detect diseases, track heeling, et cetera.

407
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So conceptually, people imagine three layers. Their cells processes the

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biological information, the smart dust are implantable sensors collect measurements

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from everything, and then external computers in AI analyze it

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all in that information and potentially help guide medical decisions

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or therapies. And of course, depending on who has control

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of this, you know, is what matters. So so pretty

413
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nuts this is cell membrane computing in a nutshell, and

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they do want to create this biodigital convergence, and this

415
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is how you would do it. You would get all

416
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this in there and start computating sells. So we're going

417
00:26:31,480 --> 00:26:34,200
to look at Now that we're done with the breakdown

418
00:26:34,319 --> 00:26:37,119
of all the sciencey shit, we're gonna look at the

419
00:26:37,160 --> 00:26:40,119
fun connections that we have with some of these people

420
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in Epstein with creating this and all that stuff.

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Speaker 2: I also want to show you that this is in

422
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Coca Cola.

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Speaker 1: The deal has been made with Microsoft, a billion dollar

424
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deal for five years.

425
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Speaker 2: They're going to be putting this in there.

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Speaker 1: And again I said, the six six six patent wasn't

427
00:27:01,359 --> 00:27:03,920
Microsoft patent, And it's interesting to me that they are

428
00:27:03,920 --> 00:27:07,279
the ones doing the deal with Coca Cola, being that

429
00:27:07,319 --> 00:27:09,359
the sensors and everything is how you would know if

430
00:27:09,359 --> 00:27:13,960
somebody meets their conditions to receive the bitcoin, which is

431
00:27:14,000 --> 00:27:20,920
what that patent is. Oh yeah, okay, so I did

432
00:27:20,960 --> 00:27:22,960
show you this one already, but I'll show you one

433
00:27:22,960 --> 00:27:27,240
more time here hold on. Still think it's important to

434
00:27:27,559 --> 00:27:30,000
give you a glance at this. You should check it

435
00:27:30,000 --> 00:27:32,599
out on your own time if you'd like. It's definitely interesting.

436
00:27:34,079 --> 00:27:38,000
It's like, damn, those conspiracy theorists always are right, aren't they?

437
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Speaker 2: Dude?

438
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Speaker 1: Five years later you find a study that proves them

439
00:27:41,200 --> 00:27:46,119
right every time. Fluorescent nantoparticles present in coca cola and

440
00:27:46,119 --> 00:27:50,440
pepsi cola. And again this is where it talks about

441
00:27:50,880 --> 00:27:54,640
the sp three hybridized carbon atoms that are inside of

442
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it taken up into living cells and accumulate within cell

443
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membrane in cytoplasm, can get up into your blood brain barrier.

444
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Look here, they were able to cross the blood brain

445
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barrier and be dispersed into the brain. You see significant

446
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fluorescence quenching of NPCs. Now, I think the fluorescence of it.

447
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If I'm not mistaken, there is Lucif there was like

448
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a lucifer fluorescent fluorescent creation that they made, I don't know.

449
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We're gonna see what we can find here. There's something

450
00:28:43,960 --> 00:28:49,559
that was like called like lucifer something or luminous something,

451
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and it was pretty much what we're talking about right here,

452
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which is these little hybridized cells. So pretty crazy. And

453
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now we're gonna get into let's see here what we

454
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had with. Look at a little Wikipedia outline and what

455
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cell membrane computing is.

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Speaker 2: I just gave a pretty decent breakdown.

457
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Speaker 1: I feel like of it best you're gonna probably get

458
00:29:13,160 --> 00:29:17,000
because this is pretty hard. It's just fucking it's hard

459
00:29:17,000 --> 00:29:20,519
to understand computer science that seeks to discover new computational

460
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models from the study of biological cells, particularly of cell membranes.

461
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It is the subtask of creating a cellular model. Membrane

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computing deals with distributed and parallel computing or computing models.

463
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See it's not even explaining it hijacks the messaging of it.

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Speaker 2: This is the messenger RNA. This is how it works.

465
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Speaker 1: So mRNA vaccines and everything, we've seen that they aren't

466
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really the best. And so again I wouldn't put all

467
00:29:48,359 --> 00:29:53,759
your eggs in this basket here for this technology. So,

468
00:29:54,079 --> 00:29:57,519
like cells communicating with each other in their environment, membrane

469
00:29:57,519 --> 00:30:00,880
computing networks shared data through localized compartment rather than relying

470
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on one central processor. So it can of course simulate

471
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and predict the behavior of living cells, metabolic processes, and tissues.

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So in the Epstein files you'll find computing imitating cells

473
00:30:17,319 --> 00:30:20,799
to interrogate for faster computing computational processing.

474
00:30:21,480 --> 00:30:22,599
Speaker 2: This is something that's said.

475
00:30:22,640 --> 00:30:26,880
Speaker 1: In the Epstein files, you'll find computation imitating cells to

476
00:30:27,039 --> 00:30:29,720
integrate for faster computational processing.

477
00:30:30,599 --> 00:30:33,839
Speaker 2: So there's a diagram here that was sent over to Epstein.

478
00:30:35,319 --> 00:30:39,359
Speaker 1: There was a book and later on Epstein's emailing somebody

479
00:30:39,440 --> 00:30:44,759
about this diagram. Okay, and it's pretty interesting because you

480
00:30:44,839 --> 00:30:46,839
see that it's in the Epstein files and it's just

481
00:30:46,880 --> 00:30:48,440
a book somebody sent him, so.

482
00:30:48,400 --> 00:30:50,039
Speaker 2: You don't know how interested he is.

483
00:30:50,079 --> 00:30:53,200
Speaker 1: But then later he's referring to it, so then you're like, oh, okay,

484
00:30:53,640 --> 00:30:58,599
he definitely read this book. Lucid frese. Thank you, thank you,

485
00:30:58,640 --> 00:31:01,240
thank you. Let me go ahead and pull that up.

486
00:31:01,400 --> 00:31:04,279
So that was what it was called. There was this

487
00:31:05,559 --> 00:31:10,720
what I mentioned a minute ago, that luminous stuff that

488
00:31:10,759 --> 00:31:12,599
they were using luciferrays.

489
00:31:14,799 --> 00:31:15,440
Speaker 2: One second.

490
00:31:15,440 --> 00:31:20,519
Speaker 1: Here, it's an enzyme that catalyzes the oxidation of lucifern a,

491
00:31:21,039 --> 00:31:24,279
causing it to produce a visible glow. So I think

492
00:31:24,440 --> 00:31:35,599
lucifrase is used with SP three. Let's see here carbon atoms.

493
00:31:38,559 --> 00:31:45,319
Alrighty well, not getting much out of that. Let's see

494
00:31:45,759 --> 00:31:49,960
is lucifrase used with this stuff here? Let me put

495
00:31:49,960 --> 00:32:00,119
this up so you guys can see. All right, there

496
00:32:00,119 --> 00:32:02,839
you go, Thanks for your patience. It's been a weird

497
00:32:02,839 --> 00:32:03,759
one today, hadn't it?

498
00:32:04,359 --> 00:32:04,720
Speaker 2: All right?

499
00:32:06,039 --> 00:32:08,200
Speaker 1: So lucifrase, let me go and pull that up first.

500
00:32:08,359 --> 00:32:11,759
This is an enzyme that catalyzes the oxidive oxidation of

501
00:32:11,839 --> 00:32:16,960
lucifern What a weird name. Lucifern generic term for the

502
00:32:17,000 --> 00:32:21,119
class of oxidative enzymes that produce bioaluminescence and is usually

503
00:32:21,160 --> 00:32:28,759
distinguished from photoproteins. So this guy invented the word lucifern

504
00:32:28,799 --> 00:32:34,240
and lucifrase. This guy Raphael Dubois for the substrate and enzyme, respectively.

505
00:32:34,279 --> 00:32:37,079
Both words are derived from the Latin word lucifer, meaning

506
00:32:37,160 --> 00:32:37,720
light bearer.

507
00:32:39,119 --> 00:32:40,559
Speaker 2: Of course, why wouldn't it be.

508
00:32:42,640 --> 00:32:47,160
Speaker 1: So if I'm not mistaken, I believe that the oxidation

509
00:32:47,599 --> 00:32:51,759
of the carbon atoms is what makes the difference between

510
00:32:52,079 --> 00:32:56,640
SP three and SP two, and we kind of went

511
00:32:56,640 --> 00:33:00,559
over that. So this is talking about the catalyzes the oxidation.

512
00:33:01,640 --> 00:33:03,960
So I'm wondering if there's any connection there with these

513
00:33:03,960 --> 00:33:12,640
two things. Let's see, is lucifrase used with SP three

514
00:33:12,640 --> 00:33:19,720
carbonized atoms? Let's see here, all.

515
00:33:19,720 --> 00:33:22,039
Speaker 2: Right, so luciferse Well, of course it doesn't, but.

516
00:33:25,079 --> 00:33:35,000
Speaker 1: That's crazy, Okay, So let's try this. Is SP three

517
00:33:35,119 --> 00:33:47,079
hybridized atoms used with this lucifrase. Shit, oh man, are

518
00:33:47,079 --> 00:33:49,279
you guys enjoying this dumb ass over here trying to type?

519
00:33:49,799 --> 00:33:52,039
Speaker 2: Yes, look at that? See how it did that? Guys?

520
00:33:52,440 --> 00:33:56,680
Speaker 1: Yes, SP three hybridized carbon atoms are involved in lucifrase enzymes.

521
00:33:57,359 --> 00:33:59,480
Look at this, guys, I want to show you this.

522
00:33:59,480 --> 00:34:01,680
This is why get pissed off whenever I look things up,

523
00:34:02,039 --> 00:34:04,480
because it's it plays these games with you.

524
00:34:04,519 --> 00:34:04,799
Speaker 2: Watch.

525
00:34:05,799 --> 00:34:10,800
Speaker 1: Okay, So lucifrase does not specifically require SP three hybridized

526
00:34:11,159 --> 00:34:17,679
atoms for its function. However, SP three atoms are involved

527
00:34:17,760 --> 00:34:18,880
in lucifhrase atoms.

528
00:34:18,960 --> 00:34:21,440
Speaker 2: Yes, so you see they are connected.

529
00:34:21,920 --> 00:34:25,159
Speaker 1: So this glowing of the SP three carbonized atoms is

530
00:34:25,199 --> 00:34:29,159
because of those lucifrays. So they're literally using a substance

531
00:34:29,679 --> 00:34:33,840
to oxidize it that derives its words or name from Lucifer.

532
00:34:36,800 --> 00:34:38,880
I mean, you can't even make this shit up, dude.

533
00:34:39,039 --> 00:34:44,320
It's insane. So that's that's just crazy.

534
00:34:44,320 --> 00:34:44,599
Speaker 2: Though.

535
00:34:44,679 --> 00:34:46,280
Speaker 1: Hey we got to the answer though. I know I

536
00:34:46,320 --> 00:34:47,960
was a little stumbley, but I mean, come on, that

537
00:34:48,039 --> 00:34:52,199
was worth it, wasn't it. That's some crazy shit. Yeah,

538
00:34:52,239 --> 00:34:55,360
whoa use the name to troll the notary public in Moscow,

539
00:34:55,440 --> 00:34:58,199
Idaho that legally changed his name to Lucifer morning Star.

540
00:34:59,199 --> 00:35:02,039
Oh wow, here, your name's Lucy morning Star.

541
00:35:02,119 --> 00:35:05,280
Speaker 2: Look at you. It's ironic.

542
00:35:05,519 --> 00:35:09,199
Speaker 1: Okay, So we've got this book that was sent to

543
00:35:09,199 --> 00:35:11,920
Epstein in the Epstein files, right, and this book here

544
00:35:12,199 --> 00:35:16,039
just kind of talks all about sell membrane computing. Introduction

545
00:35:16,199 --> 00:35:20,800
to membrane computing. Who is this guy, Let's find out

546
00:35:20,800 --> 00:35:31,679
who George Plan is. Let's see nineteen fifty. He's a

547
00:35:31,719 --> 00:35:36,760
computer scientist from Romania, prominent for work on membrane computing

548
00:35:36,840 --> 00:35:37,800
in the P systems.

549
00:35:37,800 --> 00:35:40,440
Speaker 2: Now, remember the P systems.

550
00:35:41,400 --> 00:35:44,480
Speaker 1: Was the three p's that were used inside of the

551
00:35:44,760 --> 00:35:47,719
hybridized carbon atom, the three p's. It's talking about the

552
00:35:47,760 --> 00:35:51,760
P systems, same thing. So he dealt with a lot

553
00:35:51,800 --> 00:35:55,599
with this technology. And his book is inside the Epstein

554
00:35:55,639 --> 00:36:03,760
files for Romanian Academy of mathematic So the definition of

555
00:36:03,760 --> 00:36:06,360
membrane computing is an area of computer science aiming to

556
00:36:06,400 --> 00:36:10,840
abstract computing ideas from models from the structure and the

557
00:36:10,880 --> 00:36:18,920
functioning of living cells. So the P system, this membrane system,

558
00:36:19,000 --> 00:36:23,599
it's called the P system. So they've given like nicknames

559
00:36:23,599 --> 00:36:25,280
and certain things. You have to go back and look,

560
00:36:25,400 --> 00:36:27,320
so if you read this book, you'd understand what they're

561
00:36:27,320 --> 00:36:31,159
doing to ourselves. I think maybe we should do this

562
00:36:31,280 --> 00:36:35,519
sometime and kind of get down into this because this

563
00:36:35,639 --> 00:36:39,760
is crazy. The last observation, as well as rapid development

564
00:36:39,800 --> 00:36:42,000
and enlargement of the research in this area make impossible

565
00:36:42,119 --> 00:36:44,440
short and faithful presentation of membrane computing.

566
00:36:45,559 --> 00:36:46,840
Speaker 2: This is a long time ago.

567
00:36:46,639 --> 00:36:49,960
Speaker 1: Though, so back then they didn't quite have it down,

568
00:36:50,039 --> 00:36:52,840
but they had all this information that it could work with.

569
00:36:55,880 --> 00:37:01,719
Speaker 2: All right, let's see here, I'm trying to see here. Oh,

570
00:37:01,760 --> 00:37:02,159
look at this.

571
00:37:03,239 --> 00:37:05,840
Speaker 1: These neurons are not interpreted as cells with an internal

572
00:37:05,880 --> 00:37:09,400
structural life, but as dots on a grid the simple

573
00:37:09,400 --> 00:37:15,119
input output function. None of the domains considered the selves

574
00:37:15,360 --> 00:37:18,719
itself as the main object to the research. In particular,

575
00:37:20,719 --> 00:37:23,800
they're really researching DNA clearly, is what it seems that

576
00:37:23,800 --> 00:37:24,320
they're saying.

577
00:37:25,440 --> 00:37:26,880
Speaker 2: All right, so we'll have to look at this sometime.

578
00:37:26,960 --> 00:37:27,760
But very crazy.

579
00:37:27,800 --> 00:37:30,679
Speaker 1: So he's got this inside of the inside of here,

580
00:37:30,760 --> 00:37:33,239
and then later on he's emailing somebody.

581
00:37:35,119 --> 00:37:37,719
Speaker 2: Referencing this particular book.

582
00:37:37,880 --> 00:37:40,880
Speaker 1: So I'll show you that right here where he was like,

583
00:37:40,880 --> 00:37:47,360
oh have you looked into this cell membrane computing? So

584
00:37:47,400 --> 00:37:49,800
he definitely was interested in it from this book that

585
00:37:49,840 --> 00:37:52,559
he read or whatever.

586
00:37:52,239 --> 00:37:53,159
Speaker 2: That somebody sent him.

587
00:37:53,199 --> 00:37:58,559
Speaker 1: So here check this out, all right, So this is

588
00:37:58,800 --> 00:38:03,199
from' free Epstein. I'm in Paris, we can try or

589
00:38:03,400 --> 00:38:06,519
following week and better. This is a journal of membrane

590
00:38:06,599 --> 00:38:10,400
computing and as many of the same diagrams as Martin's

591
00:38:10,679 --> 00:38:17,320
stochastic games. Did he mean scholastic and if you did

592
00:38:17,480 --> 00:38:23,960
scholastic or the games they used in school? Martin pointed

593
00:38:24,000 --> 00:38:25,719
me to what I've been reading about. It very interesting

594
00:38:25,760 --> 00:38:29,199
and is closely related to my chemical computation project. I

595
00:38:29,199 --> 00:38:34,480
have also read about the plant communications, which is also fascinating. Ah.

596
00:38:34,559 --> 00:38:37,440
So that's like the mycelium, how they connect and talk

597
00:38:37,519 --> 00:38:40,000
to each other. You had that one guy going Joe

598
00:38:40,039 --> 00:38:41,559
Rogan and talks all the time about it.

599
00:38:42,199 --> 00:38:44,119
Speaker 2: I think his names like Michael Pollen.

600
00:38:45,719 --> 00:38:49,559
Speaker 1: The information contained Okay, so yeah, so he's referencing cell

601
00:38:49,719 --> 00:38:54,599
computing right there to somebody who's working on something similar.

602
00:38:55,639 --> 00:38:58,119
Now again with the Romania thing, it's kind of weird,

603
00:38:59,119 --> 00:39:02,440
the whole Romanian thing, because then after that you have

604
00:39:02,719 --> 00:39:09,079
him talking about romania inside of here, which is like

605
00:39:09,159 --> 00:39:11,239
the guy that was just talking about some membering computing

606
00:39:11,280 --> 00:39:13,519
is from there, So let's.

607
00:39:13,360 --> 00:39:14,840
Speaker 2: Check that out.

608
00:39:15,000 --> 00:39:19,880
Speaker 1: It's like, huh, got some connections here, Okay, So Leslie Groth,

609
00:39:20,079 --> 00:39:22,880
this lady testified that she had nothing to do with.

610
00:39:22,800 --> 00:39:25,119
Speaker 2: Anything, and we're gonna look at her for a minute.

611
00:39:25,119 --> 00:39:25,519
Two in a.

612
00:39:25,480 --> 00:39:29,960
Speaker 1: Minute, Dear, Leslie, which people does he mean?

613
00:39:30,000 --> 00:39:31,000
Speaker 2: Membrane computing?

614
00:39:31,119 --> 00:39:33,320
Speaker 1: This is from Jeffrey requested I get the name of

615
00:39:33,440 --> 00:39:35,800
university in Romania that you got the people from.

616
00:39:36,079 --> 00:39:36,519
Speaker 2: Look at that?

617
00:39:36,599 --> 00:39:39,840
Speaker 1: Look at that? Look at that. She said got the

618
00:39:40,000 --> 00:39:43,039
people from. First of all, are they talking about like

619
00:39:43,079 --> 00:39:46,599
trafficking people? Remember Romania is known for like human trafficking

620
00:39:46,639 --> 00:39:49,719
with all Erica Kirk stuff, or at least like there's

621
00:39:49,719 --> 00:39:52,000
a lot going on there with that. And then of

622
00:39:52,039 --> 00:39:55,719
course he's talking about getting the people from Romania? And

623
00:39:55,760 --> 00:39:58,719
then he he goes, is he talking about cell meming

624
00:39:58,880 --> 00:39:59,800
membering computing?

625
00:40:01,039 --> 00:40:02,599
Speaker 2: Are these people they're experimenting on?

626
00:40:04,000 --> 00:40:07,320
Speaker 1: Is this just him saying, Oh, University of Romania is

627
00:40:07,320 --> 00:40:09,960
where the book came from. So maybe I don't know,

628
00:40:10,119 --> 00:40:13,440
but I think it's weird that in quotes got the

629
00:40:13,519 --> 00:40:16,800
people from. I don't know what the hell that's supposed

630
00:40:16,800 --> 00:40:20,599
to mean, but they're clearly talking about this cell member

631
00:40:20,639 --> 00:40:26,760
and computing. Still crazy, So let's look at this chick

632
00:40:26,800 --> 00:40:30,039
I just mentioned because she was like his right hand chick.

633
00:40:30,360 --> 00:40:33,079
This late Leslie Groff, you may have heard about her

634
00:40:33,920 --> 00:40:36,760
because she really was such an important figure in this

635
00:40:36,760 --> 00:40:43,119
whole thing, as far as like in his life. All right,

636
00:40:43,119 --> 00:40:46,760
I'll put this up here. Appreciate your research and sharing much.

637
00:40:47,239 --> 00:40:48,760
No one is bringing out the stuff you are in

638
00:40:48,800 --> 00:40:51,239
such a clear way. Thank you so much. I try

639
00:40:51,239 --> 00:40:54,840
my best. I agree with that these people are crazy

640
00:40:54,880 --> 00:40:58,320
rebel for Christ and game theory. Yeah, dude, who brings

641
00:40:58,400 --> 00:41:00,559
up game theory all the time? Eric Weinstein?

642
00:41:01,159 --> 00:41:03,119
Speaker 2: Almost every time I hear any of these.

643
00:41:02,960 --> 00:41:05,480
Speaker 1: Guys going, Joe Rogan, these tech bros, they talk about

644
00:41:05,519 --> 00:41:08,159
game theory. Maybe you should look at game theory and

645
00:41:08,199 --> 00:41:10,199
see what that is, since everybody likes to talk about

646
00:41:10,199 --> 00:41:15,119
it so much, all these cycle paths. Okay, So, Leslie Groff,

647
00:41:16,920 --> 00:41:21,000
Jeffrey Epstein's longtime aid called to testify for Congress.

648
00:41:22,280 --> 00:41:24,440
Speaker 2: Four months ago, and then four weeks ago.

649
00:41:24,519 --> 00:41:29,079
Speaker 1: Connecticuts Leslie Groff, Epstein's longtime aid to testify before Congress

650
00:41:29,119 --> 00:41:30,559
four weeks ago.

651
00:41:31,800 --> 00:41:35,039
Speaker 2: Hmm, all right, let's look at that.

652
00:41:36,000 --> 00:41:39,559
Speaker 1: Bring that up, stupid ass share screen here, Hold on

653
00:41:39,559 --> 00:42:00,559
one second, all right, cool, Connecticut's Leslie Groff here she is, dude,

654
00:42:00,880 --> 00:42:04,199
get this shit out of here. Okay, all right, Leslie

655
00:42:04,239 --> 00:42:09,760
Groff answered questions for federal lawmakers from her former boss.

656
00:42:11,960 --> 00:42:14,480
I'm trying to see there's some quotes from her from before.

657
00:42:15,039 --> 00:42:15,719
Speaker 2: Oh, here we go.

658
00:42:16,199 --> 00:42:19,880
Speaker 1: Groff was disgusted by Epstein's conduct and heartbroken for his victims.

659
00:42:21,119 --> 00:42:24,079
US Attorney Office did not prosecute Leslie after she voluntarily

660
00:42:24,079 --> 00:42:27,840
spoke with them, answering every question posed and demonstrates clearly

661
00:42:27,880 --> 00:42:29,880
that she had no criminal involvement with Epstein.

662
00:42:31,320 --> 00:42:32,960
Speaker 2: I just don't know, like got the people from.

663
00:42:32,960 --> 00:42:34,840
Speaker 1: I guess she's saying, like where you got the people

664
00:42:34,880 --> 00:42:42,599
from in Romania regarding this science research, etc. Either way,

665
00:42:42,639 --> 00:42:46,480
that's interesting. So there's somebody else who emailed him named

666
00:42:46,599 --> 00:42:50,559
Victorius Stodden, and Victoria Stadden was talking to him about

667
00:42:50,719 --> 00:42:53,800
essentially this technology, and he was telling her how she

668
00:42:53,840 --> 00:42:54,679
should look into it.

669
00:42:56,440 --> 00:42:59,400
Speaker 2: And if you go look at her work.

670
00:43:00,559 --> 00:43:04,079
Speaker 1: Since working or since this email, she has worked on

671
00:43:04,320 --> 00:43:07,559
cell membrane computing. So this is like real shit that

672
00:43:07,599 --> 00:43:12,360
they've been working on. Came from him to Jeffrey Epstein

673
00:43:12,400 --> 00:43:17,119
from Victoria's dodding. I was back at my cardio class tonight,

674
00:43:17,320 --> 00:43:20,400
not making any excuses, and the only two I missed

675
00:43:20,440 --> 00:43:22,840
were last week when I was presenting at a conference

676
00:43:22,840 --> 00:43:25,800
in Cambridge and when I was head a fever. Anyway,

677
00:43:26,199 --> 00:43:28,760
I don't know what she's referring to, but she says, PS,

678
00:43:29,039 --> 00:43:32,079
I think I may use membrane computing in my revamp

679
00:43:32,239 --> 00:43:35,480
of scientific computing systems. Still working it out. Thanks for

680
00:43:35,559 --> 00:43:39,119
the pointer. So we clearly gave her a pointer. Now

681
00:43:39,280 --> 00:43:43,880
look at this two thousand and nine, and she said

682
00:43:43,920 --> 00:43:48,239
in this at three am, Jesus talking about fitness. He's

683
00:43:48,239 --> 00:43:51,320
talking about her fitness. Well, let's look at Victorias Dodden.

684
00:43:51,480 --> 00:44:01,320
Huhorius Stodden. I see why he's talking. Worry about fitness.

685
00:44:01,719 --> 00:44:04,440
It's not the hardest thing to look at.

686
00:44:04,480 --> 00:44:07,119
Speaker 2: There is she interesting?

687
00:44:08,840 --> 00:44:12,280
Speaker 1: So this lady had some membrane computing involvement.

688
00:44:13,000 --> 00:44:15,719
Speaker 2: Let's see. I think she won some awards for it.

689
00:44:15,719 --> 00:44:17,159
As a matter of fact, let's see.

690
00:44:16,960 --> 00:44:21,360
Speaker 1: Here as she had professor in the Department of Industrial

691
00:44:21,440 --> 00:44:25,360
and Systems Engineering at the University of Southern California, PhD

692
00:44:25,400 --> 00:44:28,840
and statistics from Stanford, and a law degree from Stanford

693
00:44:28,880 --> 00:44:34,880
as well. Magnet allowed, Okay, so there was something I

694
00:44:34,920 --> 00:44:42,079
saw about membrane computing. She works on computer systems. I

695
00:44:42,159 --> 00:44:46,159
know for a fact there was some proof membring computing

696
00:44:46,199 --> 00:44:55,119
models at the issue in this. I always get different

697
00:44:55,119 --> 00:44:57,679
Internet results whenever I look on here versus my phone.

698
00:44:57,920 --> 00:45:01,199
So interesting. It's hard to find the same thing. I

699
00:45:01,239 --> 00:45:05,199
had this thing with Nugget News earlier. I was I

700
00:45:05,199 --> 00:45:08,039
had to type in every single keyword, and then finally

701
00:45:08,039 --> 00:45:10,639
it came up after I typed in every single keyword.

702
00:45:11,519 --> 00:45:16,719
So it's pretty fun. But she had some discoveries with AI.

703
00:45:16,719 --> 00:45:21,119
Speaker 2: And membrane computing. Oh man, Yeah, she's a whatever.

704
00:45:21,320 --> 00:45:28,079
Speaker 1: Okay, so let's see what else we got. So there's

705
00:45:28,119 --> 00:45:32,800
a monopoly on marijuana, right with a lot of these

706
00:45:32,800 --> 00:45:36,159
guys like Peter Thiele, George Soros. A lot of these

707
00:45:36,159 --> 00:45:38,559
guys have a lot of money and weed in marijuana.

708
00:45:39,280 --> 00:45:42,880
And one thing that's used in marijuana is nano particles

709
00:45:42,920 --> 00:45:47,039
as well. They use in edibles. They used nanoparticles in

710
00:45:47,079 --> 00:45:49,639
some of them, and I was trying to do some research.

711
00:45:49,679 --> 00:45:51,639
I won't lie and say that like it's in there

712
00:45:52,039 --> 00:45:54,760
the same ones we're talking about, but I would beware

713
00:45:54,800 --> 00:45:56,800
because I've had a hard time finding it. Yes, but

714
00:45:56,880 --> 00:45:58,920
at the same time, we don't know what kind of

715
00:45:59,000 --> 00:46:02,880
nanoparticles there you using besides this SP three you know,

716
00:46:03,000 --> 00:46:07,039
to do some of this activity I would imagine it's

717
00:46:07,039 --> 00:46:09,840
not the only science behind it is the SP three stuff.

718
00:46:09,840 --> 00:46:12,239
But we could look into some of the marijuana stuff,

719
00:46:12,239 --> 00:46:17,320
because I am interested to see about that. One second. Here,

720
00:46:17,360 --> 00:46:21,079
let me see if I could pull that up hold

721
00:46:21,119 --> 00:46:30,679
on here, Oh, here we go. Okay, here, okay, let's

722
00:46:30,719 --> 00:46:37,440
see nanoparticles in edibles. My buddy sent me a bag

723
00:46:37,480 --> 00:46:43,360
of edibles he got and it said nanoparticles on him

724
00:46:43,480 --> 00:46:46,599
and he was like, what is that green synthesized nanoparticles

725
00:46:46,599 --> 00:46:53,519
in edibles. So nanoparticles are increasingly being utilized in edibles

726
00:46:53,559 --> 00:46:54,800
for various purposes.

727
00:46:54,880 --> 00:46:59,400
Speaker 2: Let's look at this, like, what the hell does that mean? Dude?

728
00:46:59,480 --> 00:47:03,440
You know, why do you need to use those? So

729
00:47:03,519 --> 00:47:04,159
let's find out.

730
00:47:05,239 --> 00:47:07,360
Speaker 1: Because again the tech bros got their money in their

731
00:47:07,360 --> 00:47:10,280
hands all inside of the nanoparticle I'm sorry, all inside

732
00:47:10,280 --> 00:47:11,639
of the marijuana industry.

733
00:47:12,039 --> 00:47:12,960
Speaker 2: They've monopolized.

734
00:47:13,000 --> 00:47:15,320
Speaker 1: It made it to where only certain like big companies

735
00:47:15,360 --> 00:47:19,440
like them can own all the farms and all the dispensaries.

736
00:47:20,280 --> 00:47:22,599
And when you look into the Esslin stuff that I'll

737
00:47:22,599 --> 00:47:27,079
be diving deeper into soon. This push from the intelligence

738
00:47:27,079 --> 00:47:30,719
community for people to do drugs like psychedelics and marijuana

739
00:47:30,719 --> 00:47:34,639
and everything and create the Soma effect on people where

740
00:47:34,639 --> 00:47:38,000
they just kind of are drones in society and at

741
00:47:38,000 --> 00:47:40,599
the same time use nanoparticles.

742
00:47:39,880 --> 00:47:40,880
Speaker 2: To wire them up.

743
00:47:42,320 --> 00:47:44,480
Speaker 1: As they do with the coca cola and everything else.

744
00:47:45,960 --> 00:47:50,199
So we have plastic nanoparticles. Recent studies have shown that

745
00:47:50,199 --> 00:47:56,119
plastic nanoparticles can be absorbed into edible parts of crops. Here,

746
00:47:56,199 --> 00:48:03,400
let me see edible cannabis. Here, nanotechnology in cannabis. Look

747
00:48:03,400 --> 00:48:08,000
at this nano technology in cannabis. Let me let me

748
00:48:08,000 --> 00:48:12,280
see here they use the nanotechnology for rapid delivery systems

749
00:48:12,280 --> 00:48:15,400
of the marijuana in edibles.

750
00:48:16,719 --> 00:48:18,599
Speaker 2: Guys, I'm a pothead.

751
00:48:18,599 --> 00:48:23,079
Speaker 1: Okay, I'm not like against weed, but this is fucking crazy, Like,

752
00:48:23,119 --> 00:48:24,000
what are we doing?

753
00:48:26,079 --> 00:48:28,079
Speaker 2: Efficient delivery and rapid effects.

754
00:48:28,760 --> 00:48:32,639
Speaker 1: Nanotechnologies is a technology that has and will continue to

755
00:48:32,679 --> 00:48:37,159
reshape industries from medicine to electronics. It's being poised to

756
00:48:37,239 --> 00:48:40,880
revolutionize cannabis as well. By manipulating matter at the atomic

757
00:48:40,920 --> 00:48:46,400
and molecular levels, scientists are unlocking properties and traditional materials

758
00:48:47,639 --> 00:48:49,440
that traditional materials can't match.

759
00:48:51,119 --> 00:48:53,760
Speaker 2: So what does this mean for cannabis.

760
00:48:53,760 --> 00:48:58,320
Speaker 1: This means that the delivery for the absorption of cannabinoids

761
00:48:58,599 --> 00:49:01,000
in the body. You are about to get a notable upgrade,

762
00:49:01,079 --> 00:49:05,079
offering users faster effects and better bioavailability.

763
00:49:05,920 --> 00:49:06,760
Speaker 2: At what cost?

764
00:49:07,480 --> 00:49:11,960
Speaker 1: Is my question? How nanotech? Okay, but what nanotech are

765
00:49:12,000 --> 00:49:16,480
we using here? Is it gonna explain that? Final thoughts?

766
00:49:16,559 --> 00:49:18,599
Nanotech and cannabis. See how it doesn't even explain what

767
00:49:18,639 --> 00:49:26,960
they're using. Let's see here what nanotech is used in cannabis.

768
00:49:28,199 --> 00:49:29,800
Speaker 2: Edibles. Let's find out here.

769
00:49:31,760 --> 00:49:38,280
Speaker 1: Nano emulsions, nano emulsion technology. See here, guys, what are

770
00:49:38,280 --> 00:49:46,480
they using? So nano emulsions? It's really hard. You already

771
00:49:46,519 --> 00:49:49,559
know that they're gonna give us some bullshit. I'm gonna

772
00:49:49,559 --> 00:49:51,519
have to go and look deeper into this, but I'm

773
00:49:51,519 --> 00:49:54,800
almost positive, guys. I mean nanotechnology, as we've discovered from

774
00:49:54,840 --> 00:49:57,800
all this other nanotech is probably not a good thing

775
00:49:57,800 --> 00:50:04,079
to have inside of your just saying I don't know

776
00:50:04,119 --> 00:50:07,440
if they have emulsion technology. That is the SP three

777
00:50:07,480 --> 00:50:10,679
stuff that I went over. But you know, eventually this

778
00:50:10,800 --> 00:50:14,199
leads into wetwear. Okay, so this is something else I

779
00:50:14,199 --> 00:50:17,159
want to talk about, wetwear computers that run off of

780
00:50:17,440 --> 00:50:20,239
human cells, because that's where all this is leading to,

781
00:50:20,480 --> 00:50:23,760
I think, is the idea of computers being ran off

782
00:50:23,800 --> 00:50:28,000
of human cells is something that's being studied right now.

783
00:50:28,159 --> 00:50:31,360
So I just think that that's that's an important aspect

784
00:50:31,400 --> 00:50:32,880
of this as well. So let me pull that up.

785
00:50:33,760 --> 00:50:36,679
That's where this is leading, of course. So let's look

786
00:50:36,679 --> 00:50:41,199
at this little Instagram post here. Pull this up for you.

787
00:50:43,960 --> 00:50:46,760
In two thousand and nine, Jeffrey Epstein was planning what

788
00:50:46,840 --> 00:50:49,679
he called it Smart People's Symposium in West Palm Beach.

789
00:50:49,760 --> 00:50:51,039
Speaker 2: Jeffrey Epstein will fund this.

790
00:50:51,159 --> 00:50:54,480
Speaker 1: The planning documents are now public are jet Justice dot gov.

791
00:50:55,920 --> 00:50:57,920
Speaker 2: It includes the preliminary guest list.

792
00:50:58,039 --> 00:51:01,400
Speaker 1: The names on it go from came from Epstein personally.

793
00:51:02,639 --> 00:51:04,679
George Pond is one of them. That's the guy from

794
00:51:04,719 --> 00:51:06,880
the Membrane Computing book. I just pointed out to you

795
00:51:07,320 --> 00:51:11,239
and Stuart Kaufman and anyone else that can find who

796
00:51:11,320 --> 00:51:18,320
is into membrane computing? What is membrane computing? In ninety eight,

797
00:51:18,360 --> 00:51:21,800
a Romanian computer scientist named George Pon, the guy who

798
00:51:21,840 --> 00:51:24,800
got invited there, published a new theory. He called it

799
00:51:24,880 --> 00:51:27,960
membrane computing. The idea was simple. Every living cell in

800
00:51:27,960 --> 00:51:31,199
your body has a membrane. That membrane decides what gets

801
00:51:31,199 --> 00:51:34,480
in and out and what stays out inside chemical reactions

802
00:51:34,519 --> 00:51:38,360
happen in parallel, millions of compartments, all processing at once,

803
00:51:38,480 --> 00:51:40,119
all communicating selectively.

804
00:51:41,280 --> 00:51:42,239
Speaker 2: Pawn said, what if we.

805
00:51:42,159 --> 00:51:44,639
Speaker 1: Build computers that work like that, not like a process

806
00:51:44,719 --> 00:51:49,360
or running on instruction at a time, but like biology.

807
00:51:49,480 --> 00:51:52,519
Speaker 2: And so Epstein invited these people.

808
00:51:52,840 --> 00:51:56,679
Speaker 1: Jeff Hinton, the scientists widely called the godfather of deep learning.

809
00:51:57,559 --> 00:52:00,960
We've got Seth Lloyd, a pioneer of quantum computing in

810
00:52:01,079 --> 00:52:05,039
George Church, a Harvard geneticist behind synthetic biology, and of

811
00:52:05,079 --> 00:52:09,719
course Peter Teel, Larry Page, la Musk, all the usual suspects.

812
00:52:10,239 --> 00:52:12,280
And so these are people you know. Craig Vener, he

813
00:52:12,360 --> 00:52:20,119
sequenced the human genome. So Christine Maxwells Gallaine's sister all there.

814
00:52:21,519 --> 00:52:27,039
Seven years later, twenty sixteen, Epstein emailed Mark Novak at Harvard.

815
00:52:27,280 --> 00:52:30,519
Novak ran to the or he ran the part program

816
00:52:30,639 --> 00:52:36,360
rather for evolutionary dynamics. Epstein funded with millions, of course,

817
00:52:36,440 --> 00:52:40,119
and the email says, I would suggest you invert invite

818
00:52:40,840 --> 00:52:47,639
Gerd Jennen's Riser as well as George Ponn. Seven years

819
00:52:47,840 --> 00:52:50,840
same time, same field, Epstein was personally tracking and promoting

820
00:52:50,880 --> 00:52:54,000
the founder of membrane and computing across decades.

821
00:52:54,880 --> 00:52:56,480
Speaker 2: He was trying to get this guy hooked up with

822
00:52:56,519 --> 00:52:57,159
George Ponn.

823
00:52:58,920 --> 00:53:02,400
Speaker 1: In twenty twenty two, an Australian company called corticol Labs.

824
00:53:02,599 --> 00:53:03,400
Speaker 2: This is important.

825
00:53:03,599 --> 00:53:05,840
Speaker 1: Corticoll Labs is connected with the wetwear that was trying

826
00:53:05,880 --> 00:53:07,960
to explain to you a minute ago. They had grown

827
00:53:08,039 --> 00:53:11,159
eight hundred thousand human brain cells on a silicon chip,

828
00:53:11,679 --> 00:53:14,559
and this is the one they taught how to play Doom.

829
00:53:14,920 --> 00:53:16,719
They taught it how to play video game named Pong

830
00:53:17,519 --> 00:53:23,119
at first. These biological neurons on hardware learning in real time.

831
00:53:23,800 --> 00:53:26,760
And of course they call this dish brain. I think

832
00:53:26,800 --> 00:53:29,960
I've showed you guys this a long while ago. But

833
00:53:30,000 --> 00:53:32,760
this is like when they taught these neurons on a

834
00:53:32,760 --> 00:53:37,440
Peatrio dish how to play Doom. In twenty twenty five,

835
00:53:37,440 --> 00:53:40,519
they were selling a commercial biological computer for thirty five

836
00:53:40,559 --> 00:53:41,360
thousand dollars.

837
00:53:41,719 --> 00:53:44,719
Speaker 2: Now, this is like the matrix, like the computers.

838
00:53:44,199 --> 00:53:47,239
Speaker 1: Eat the people, and we were like a battery and

839
00:53:47,280 --> 00:53:48,079
it's the whole thing.

840
00:53:48,440 --> 00:53:49,280
Speaker 2: It's very odd.

841
00:53:49,440 --> 00:53:50,960
Speaker 1: I don't know if it ends up like that, but

842
00:53:51,360 --> 00:53:54,639
it's kind of the concept here. So these neurons were

843
00:53:54,639 --> 00:53:58,880
plugged into a large language model generating text and biological impulses.

844
00:54:00,079 --> 00:54:02,400
Cortical Labs did not invent the theory, but they publicly

845
00:54:02,400 --> 00:54:07,599
implemented it. So corticoll Labs is a big, big one

846
00:54:07,599 --> 00:54:10,400
to look at. Here. The Epstein files contain over three

847
00:54:10,400 --> 00:54:14,119
million pages of documents. Journalists have reported extensively on names

848
00:54:14,119 --> 00:54:20,519
from these files, on Epstein's fundings, of robot designer David Hanson,

849
00:54:21,519 --> 00:54:24,639
who pitched to build a robo Epstein. They reported on

850
00:54:24,719 --> 00:54:28,159
Ben Gertzel, I'm not a fan of him, from OpenCog

851
00:54:28,840 --> 00:54:33,199
the AGI Toddler proposal, and they're reported on Harvard Revolutionary

852
00:54:33,280 --> 00:54:40,400
Dynamics funding, Mark Novak, what is the AGI Toddler? What

853
00:54:40,440 --> 00:54:56,719
the hell is the AGI Toddler? Ben Gertzel, what is

854
00:54:56,760 --> 00:55:04,280
this AGI Toddler project? Humans Holler level AGI by twenty fifteen.

855
00:55:05,679 --> 00:55:06,559
Speaker 2: Oh okay, so they.

856
00:55:06,480 --> 00:55:09,519
Speaker 1: Wanted to get the AGI to be Toddler level by

857
00:55:09,559 --> 00:55:17,719
twenty fifteen, demonstrated virtual war characters in humanoid robots, general

858
00:55:17,719 --> 00:55:18,000
in te.

859
00:55:18,239 --> 00:55:19,519
Speaker 2: Yeah, okay, okay, okay.

860
00:55:19,880 --> 00:55:22,480
Speaker 1: So this open Cognition fund that was funded by Epstein

861
00:55:22,800 --> 00:55:26,320
with Ben Gertzel. Ben Gurtzel's been on Joe Rogan a

862
00:55:26,400 --> 00:55:29,360
little bit. So you got the smart here's all the

863
00:55:29,440 --> 00:55:37,119
EFTA numbers. But yeah, dude, so this you know what

864
00:55:37,199 --> 00:55:40,519
I mentioned earlier, the wetwear. The whole idea of like

865
00:55:40,719 --> 00:55:46,079
using cells for computing, like as the computer itself is

866
00:55:46,119 --> 00:55:49,920
the Cortical Lab stuff, right, And this is stuff that

867
00:55:49,960 --> 00:55:52,719
I didn't quite understood understand at the time how it

868
00:55:52,760 --> 00:55:55,920
all connected. But now I'm kind of it's I'm starting

869
00:55:55,920 --> 00:55:57,400
to wrap my brain around it a little bit.

870
00:55:58,079 --> 00:56:01,079
Speaker 2: And fuck, dude, this is crazy.

871
00:56:02,639 --> 00:56:10,960
Speaker 1: So this is cort Call Labs, Australian based let's see here. Yeah, uh,

872
00:56:10,960 --> 00:56:13,880
what the fuck is? This must be deleted?

873
00:56:13,920 --> 00:56:14,199
Speaker 2: Okay.

874
00:56:14,199 --> 00:56:19,519
Speaker 1: Cortical Labs, Australian biotech company based in Melbourne develops biological

875
00:56:19,559 --> 00:56:21,639
computing systems.

876
00:56:21,840 --> 00:56:23,480
Speaker 2: Han Wan Chong owns.

877
00:56:23,519 --> 00:56:27,800
Speaker 1: It founded in twenty nineteen, gained international attention in twenty

878
00:56:27,880 --> 00:56:32,679
twenty two. This was funded adjacently by Peter TiAl just

879
00:56:32,719 --> 00:56:36,440
so you know. So Peter two had his hands in

880
00:56:36,440 --> 00:56:40,360
this through the Teal Fund or whatever it was, the

881
00:56:40,400 --> 00:56:48,519
founder's fund. So that's cordcoll Labs. So all this goes together,

882
00:56:48,679 --> 00:56:50,679
wiring us up and plugging us in. This is the

883
00:56:50,679 --> 00:56:54,760
whole idea of like singularity. Singularity is not about like AGI.

884
00:56:54,960 --> 00:56:58,639
Necessarily it's about plugging us in. But yeah, the same

885
00:56:58,679 --> 00:57:01,519
company now has now is involved with brain cells being

886
00:57:01,599 --> 00:57:04,440
used as power to power data centers. So these brain

887
00:57:04,480 --> 00:57:06,519
cells being used to power data centers is what they're

888
00:57:06,519 --> 00:57:08,159
trying to do. And again that gets into this whole

889
00:57:08,159 --> 00:57:11,039
idea of like the matrix, where we're used as a

890
00:57:11,079 --> 00:57:15,199
battery for these machines, merging man with machine, empowering man

891
00:57:15,239 --> 00:57:19,679
by machine. A symbiotic system ultimately could go pretty terribly

892
00:57:19,719 --> 00:57:24,639
if you ask me. So, the sensors used to control

893
00:57:24,679 --> 00:57:29,159
the body with five G technology, that patent that we've.

894
00:57:29,000 --> 00:57:31,400
Speaker 2: Talked about a few times from the Rockefellers.

895
00:57:31,960 --> 00:57:35,320
Speaker 1: Now it's starting to make sense what that patent really is,

896
00:57:35,519 --> 00:57:40,960
right and what exactly they're doing with that pattern. It's this,

897
00:57:41,079 --> 00:57:44,320
it's everything we've been talking about cell membrane computing, you know,

898
00:57:44,440 --> 00:57:46,280
ultimately plugging us in.

899
00:57:46,480 --> 00:57:48,480
Speaker 2: The Rockefeller University.

900
00:57:50,440 --> 00:57:55,360
Speaker 1: Methods and compositions for remote control of cell function based

901
00:57:55,360 --> 00:57:59,880
on the use of radio frequency waves to excite the nanoparticles, right,

902
00:58:00,079 --> 00:58:02,519
the nanoparticles inside of there that we've been talking about

903
00:58:02,559 --> 00:58:07,840
the whole time, these sp three hybridized carbon atoms, they

904
00:58:07,840 --> 00:58:13,079
could be remote controllably functioned and messed with with radio

905
00:58:13,119 --> 00:58:17,599
frequency waves. The nanoparticles may be applied to the target

906
00:58:17,679 --> 00:58:26,280
cell extracellularly or expressed intracellularly. I think that they're like, yeah,

907
00:58:26,280 --> 00:58:31,679
they're really taking this technology to the next level. But

908
00:58:31,719 --> 00:58:35,079
these are the injected or genetically expressed inside cells to

909
00:58:35,159 --> 00:58:39,679
remotely control cellular functions. Radio frequency waves heat the iron

910
00:58:39,719 --> 00:58:44,400
cores of these nanoparticles. This activates temperature sensitive channels to

911
00:58:44,480 --> 00:58:49,320
trigger calcium influx, and then it modulates gene expression, hormone

912
00:58:49,360 --> 00:58:53,159
release such as insulin, neurofiring, and other cell behaviors non

913
00:58:53,199 --> 00:58:57,280
invasively from a distance. This is why the importance of

914
00:58:57,400 --> 00:59:01,239
like Internet of Things five G six grastructure with mRNA

915
00:59:01,800 --> 00:59:04,320
having all this stuff put inside of your cells so

916
00:59:04,360 --> 00:59:10,639
they can then start remote control, like messing with you, right, dude,

917
00:59:10,639 --> 00:59:13,800
I mean this stuff, it's all the crazy conspiracy stuff

918
00:59:13,880 --> 00:59:16,599
during COVID is one hundred percent coming true and it's

919
00:59:16,679 --> 00:59:17,599
it's verifiable.

920
00:59:17,639 --> 00:59:19,000
Speaker 2: There's nothing to even argue here.

921
00:59:19,559 --> 00:59:23,960
Speaker 1: You know, this is again the patent Microsoft six six' six.

922
00:59:24,079 --> 00:59:27,280
You know sensors all we've been describing this whole time.

923
00:59:27,320 --> 00:59:31,920
Are these sensors in yourselves just like we described, you know,

924
00:59:31,960 --> 00:59:35,440
they read your movement data, reading not only your body activity,

925
00:59:35,880 --> 00:59:39,559
but also your state of mind, your emotions, how you feel, act, think,

926
00:59:40,559 --> 00:59:43,760
your tissues, your organs, like how your heart's functioning.

927
00:59:44,880 --> 00:59:47,239
Speaker 2: And then if you meet the criteria, then you can.

928
00:59:47,159 --> 00:59:54,480
Speaker 1: Get some money, you know. And yeah, so let's look

929
00:59:54,519 --> 00:59:56,840
at A X a little bit. I've got some other stuff.

930
00:59:56,519 --> 01:00:00,760
Speaker 2: Here, but this is uh, some crazy shit.

931
01:00:00,840 --> 01:00:01,039
Speaker 1: Man.

932
01:00:01,239 --> 01:00:03,119
Speaker 2: Nobody's talking about this, you know.

933
01:00:03,239 --> 01:00:04,920
Speaker 1: I mean, people are talking about it, but they're not

934
01:00:04,920 --> 01:00:08,159
giving the full picture. So I appreciate whoever said you

935
01:00:08,199 --> 01:00:11,800
know that they appreciate my research. I just want to

936
01:00:11,800 --> 01:00:14,599
get out there with like, put the whole contextual picture

937
01:00:14,599 --> 01:00:17,239
out there that nobody else seems to fully be doing.

938
01:00:17,880 --> 01:00:20,599
Not that they are doing it on purpose, it's just

939
01:00:21,039 --> 01:00:25,320
I don't see it being done. So let's talk a

940
01:00:25,320 --> 01:00:27,199
little bit about some of these tabs I have. Now

941
01:00:27,199 --> 01:00:30,239
that I've given you all the information I have regarding

942
01:00:30,280 --> 01:00:32,679
all the studies and all the different stuff and findings,

943
01:00:32,880 --> 01:00:35,159
we can look at some ex posts and different stuff

944
01:00:35,159 --> 01:00:38,679
other people have found. I don't like to just do

945
01:00:38,760 --> 01:00:40,719
a whole show just based off ex posts. When we're

946
01:00:40,760 --> 01:00:42,960
doing deep dives, I'd like to show you all my

947
01:00:43,079 --> 01:00:47,039
research and everything we get into, but I also like

948
01:00:47,079 --> 01:00:51,800
to mix in some entertainment from X because it is entertainment.

949
01:00:51,960 --> 01:00:54,159
Speaker 2: You know. There's a lot of true shit on here too, though.

950
01:00:55,679 --> 01:00:58,679
Speaker 1: So your bottery the battery, right, this RODA nine one

951
01:00:58,719 --> 01:01:02,599
one chick's pretty decent. Your body equals the battery, just

952
01:01:02,639 --> 01:01:06,480
like I was just explaining, sensor plus the sensor node

953
01:01:06,519 --> 01:01:09,480
in the smart city grid. So you're a node in

954
01:01:09,519 --> 01:01:12,440
the smart city grid and a battery for this data

955
01:01:12,480 --> 01:01:17,800
center or this whole system. DARPA's N three program develops

956
01:01:17,800 --> 01:01:21,440
non surgical brain machine interfaces for high resolution neural read

957
01:01:21,559 --> 01:01:28,239
write technology. Their new Generative Optogenetics GOO aims to aims

958
01:01:28,239 --> 01:01:33,199
at nucleic acid compilers for light controlled DNA and RNA

959
01:01:33,519 --> 01:01:35,440
writing inside cells.

960
01:01:36,760 --> 01:01:37,880
Speaker 2: So let's look at this.

961
01:01:40,760 --> 01:01:43,199
Speaker 1: Because this is the stuff I kind of talked about

962
01:01:43,239 --> 01:01:45,400
the other day, the whole AI voice of skull technology

963
01:01:45,679 --> 01:01:49,920
and the brain computer interfaces which is neuralink. And that's

964
01:01:49,960 --> 01:01:52,159
the stuff Neuralink's doing. And I've been talking about all

965
01:01:52,239 --> 01:01:56,599
this agnasium lately. But it's here, dude, and this is

966
01:01:57,000 --> 01:02:00,559
something to hammer on, and you can't have all this information.

967
01:02:00,599 --> 01:02:03,719
It's just coming out you know, nobody has all this information.

968
01:02:03,760 --> 01:02:07,239
Speaker 2: It's just coming out. I don't, you don't. We're all

969
01:02:07,320 --> 01:02:08,119
learning this together.

970
01:02:09,480 --> 01:02:14,440
Speaker 1: Next Generation Non Surgical Neurotechnology from DARPA. The Next Generation

971
01:02:14,519 --> 01:02:18,039
No Non Surgical N three program aims to develop high

972
01:02:18,039 --> 01:02:23,119
performance by directional brain machine interfaces for able bodied service members.

973
01:02:24,039 --> 01:02:28,039
Such interfaces would be enabled enabling technology for diverse national

974
01:02:28,039 --> 01:02:34,679
security applications, control of unmanned aerial vehicles, cyber defense systems,

975
01:02:34,800 --> 01:02:39,280
or teaming with computer systems to successfully multitask during complex

976
01:02:39,320 --> 01:02:43,239
military missions. So most of the effective state of the

977
01:02:43,320 --> 01:02:49,480
art neural interfaces require surgical implants. N three technology would

978
01:02:49,519 --> 01:02:53,719
not require surgery and would be man made portable, thus

979
01:02:53,760 --> 01:02:56,840
making the technology accessible to a far and wide, far

980
01:02:56,920 --> 01:03:02,599
wider population of potential users. And invasive neural technologies such

981
01:03:02,599 --> 01:03:06,159
as electro Oh shit, we're about to look this up.

982
01:03:06,719 --> 01:03:14,639
Electro and cephalogram and cephalogram and transcranial direct current stimulation

983
01:03:14,760 --> 01:03:20,079
already exist but do not offer the precision, signal resolution

984
01:03:20,159 --> 01:03:24,800
and portability required for advanced applications. So they got the technology.

985
01:03:24,840 --> 01:03:27,559
They need it smaller, they need it more where they

986
01:03:27,559 --> 01:03:31,239
could actually use it. But again, it modulates light acoustics

987
01:03:31,719 --> 01:03:36,199
and electromagnetic energies. So this is the end three technology

988
01:03:36,239 --> 01:03:40,000
that she's talking about, and it converges with cern Palenteer

989
01:03:40,280 --> 01:03:44,719
for six G for this digital twin, smart city, real

990
01:03:44,760 --> 01:03:50,239
time bioreplica situation for healthcare and surveillance. Your body powers

991
01:03:50,280 --> 01:03:55,880
it via energy harvesting thermopizo, tribo biofuel, and from heat

992
01:03:55,880 --> 01:03:57,679
and motion and blood.

993
01:03:57,920 --> 01:03:59,880
Speaker 2: That's why they want all these sensors and everything.

994
01:04:00,159 --> 01:04:04,239
Speaker 1: It all conducts with each other, so your body will

995
01:04:04,280 --> 01:04:06,920
really become the battery with this technic, with these cells,

996
01:04:07,719 --> 01:04:10,960
I'm sorry, with these sensors and everything being involved with

997
01:04:10,960 --> 01:04:16,559
with this. So we have conductive inks and printed electronics,

998
01:04:16,760 --> 01:04:21,840
enable stretchable e skin sensors and bionic tattoos that harvest

999
01:04:21,960 --> 01:04:26,599
energy while transmitting data. This is the innet Internet of things.

1000
01:04:27,480 --> 01:04:29,880
So yeah, man, there's a lot of this crazy shit

1001
01:04:29,920 --> 01:04:31,079
and she's got a lot of good studies.

1002
01:04:31,079 --> 01:04:33,599
Speaker 2: Here. I'll put this, try to put this little link

1003
01:04:33,679 --> 01:04:34,280
down there.

1004
01:04:36,760 --> 01:04:41,840
Speaker 1: What else we got here? Uh, we don't need to

1005
01:04:41,880 --> 01:04:44,440
go over these two. We already went over that all

1006
01:04:44,519 --> 01:04:52,440
right here. Okay, here, I'm gonna pull you guys up here. Yeah,

1007
01:04:52,440 --> 01:04:56,400
this shit's nuts, Okay, So sell membrane. A little bit

1008
01:04:56,400 --> 01:04:58,199
more about this and how it connects with the Internet

1009
01:04:58,320 --> 01:05:06,679
of Things bodies all that, Okay, human bodies as six

1010
01:05:06,760 --> 01:05:11,239
G terror hurts antennas in the Internet of Bio, nano things, eight,

1011
01:05:11,239 --> 01:05:13,239
Internet of Bodies, et cetera.

1012
01:05:14,599 --> 01:05:16,440
Speaker 2: Here reviewed science, patent.

1013
01:05:16,159 --> 01:05:19,480
Speaker 1: Academic papers, and public research from top institutions and researchers

1014
01:05:19,480 --> 01:05:23,519
talking about this terror Hertz technology with graphene based nanomaterials.

1015
01:05:23,559 --> 01:05:25,280
Speaker 2: That's what I've been explaining this whole time.

1016
01:05:25,599 --> 01:05:31,000
Speaker 1: Graphene based nanomaterials that is the SP three hybridized carbon atoms.

1017
01:05:32,440 --> 01:05:35,239
So this works with visible light communications of course, this

1018
01:05:35,400 --> 01:05:39,960
is the blue light aspect to everything wireless nanosensored networks,

1019
01:05:40,280 --> 01:05:42,840
and it's turning the human body into a node in

1020
01:05:42,880 --> 01:05:47,480
the global network, carvesting energy which senses data, transmitting it,

1021
01:05:47,920 --> 01:05:52,360
and of course interfacing with the brain and atomic systems

1022
01:05:52,960 --> 01:05:55,079
to everything that around to nine at one one just

1023
01:05:55,199 --> 01:05:57,840
was outlining as well. So there's a lot of people

1024
01:05:57,880 --> 01:06:02,599
finding this information as well. Here's some good stuff here.

1025
01:06:03,559 --> 01:06:05,199
You guys got to get these guys a follow So

1026
01:06:05,280 --> 01:06:07,679
let's go ahead and check this out.

1027
01:06:09,719 --> 01:06:12,719
Speaker 2: Hey see, thank you Corin.

1028
01:06:15,719 --> 01:06:26,800
Speaker 5: Whoops, hang on JPL six G vision, massive communication, and

1029
01:06:26,840 --> 01:06:32,880
the Internet of things nano and bionanothings invisible intelligence where

1030
01:06:33,000 --> 01:06:39,440
nanotechnology meets connectivity. The Internet of nanothings connects ultra small

1031
01:06:39,559 --> 01:06:44,440
sensors and actuators embedded in infrastructure, machinery, or even the

1032
01:06:44,519 --> 01:06:50,000
human body to existing networks with six G all the

1033
01:06:50,079 --> 01:06:55,440
terror Hurtz repeaters everywhere, including other bodies which do it naturally.

1034
01:06:56,239 --> 01:06:59,239
These devices. Remember now you're a note on the network

1035
01:06:59,280 --> 01:07:02,719
per Deloitte everything else engineering wise, so you're technically a

1036
01:07:02,880 --> 01:07:03,880
device too.

1037
01:07:04,519 --> 01:07:05,199
Speaker 2: I'm serious.

1038
01:07:05,239 --> 01:07:08,960
Speaker 5: In certain situations by the engineering will gather and share

1039
01:07:09,039 --> 01:07:14,800
data at unprecedented scale, creating a real time invisible intelligence.

1040
01:07:14,800 --> 01:07:15,719
And here's what we get.

1041
01:07:16,039 --> 01:07:16,960
Speaker 6: Well, I can't do it.

1042
01:07:17,159 --> 01:07:19,079
Speaker 1: Oh, it doesn't exist.

1043
01:07:19,079 --> 01:07:21,719
Speaker 5: There's no such thing as nanomeasurement end and it's just

1044
01:07:21,800 --> 01:07:25,440
an endless slew of crazy talk. And then they look

1045
01:07:25,480 --> 01:07:26,920
at us and go, well, you're crazy.

1046
01:07:27,159 --> 01:07:28,400
Speaker 2: You read.

1047
01:07:29,639 --> 01:07:30,400
Speaker 5: Well, thank you for that.

1048
01:07:31,760 --> 01:07:32,800
Speaker 2: I mean, it really does. Say.

1049
01:07:32,800 --> 01:07:36,480
Speaker 1: It's as self powered through harvesting, no batteries needed.

1050
01:07:37,760 --> 01:07:39,760
Speaker 2: It's harvesting the energy of everybody, the bile.

1051
01:07:40,280 --> 01:07:44,199
Speaker 1: It is the electromagnetic energy of everything that just kind

1052
01:07:44,239 --> 01:07:45,519
of self powers itself.

1053
01:07:46,360 --> 01:07:48,639
Speaker 2: And I believe that like electric cars work this way

1054
01:07:49,079 --> 01:07:49,480
as well.

1055
01:07:49,519 --> 01:07:52,679
Speaker 1: We're kind of self powers different systems within the car

1056
01:07:53,639 --> 01:07:56,119
based off just that one block battery right where it

1057
01:07:56,159 --> 01:08:00,280
can use some of that generated conductivity from some of

1058
01:08:00,320 --> 01:08:04,119
the energy of the electric into other areas. Same thing

1059
01:08:04,119 --> 01:08:06,079
that your body will be doing for the data centers,

1060
01:08:06,079 --> 01:08:09,880
et cetera. It all conducts, you know, works with itself.

1061
01:08:12,039 --> 01:08:17,399
So directed energy remains key suspect behind Havana syndrome. James

1062
01:08:17,399 --> 01:08:19,960
Giordano said that I thought that was interesting. I want

1063
01:08:19,960 --> 01:08:24,079
to bring that up because we all know about James Giordano.

1064
01:08:24,920 --> 01:08:29,600
I don't know how this got in here. I guess

1065
01:08:29,600 --> 01:08:31,159
because the DNA tampering shit.

1066
01:08:33,840 --> 01:08:34,279
Speaker 2: All right.

1067
01:08:34,359 --> 01:08:39,079
Speaker 1: So Brian Johnson spends two million a year thirty doctors

1068
01:08:39,119 --> 01:08:42,239
reversing age and now one hundred supplements a day follow

1069
01:08:42,279 --> 01:08:44,960
strict based diet plan, and now he just announced that

1070
01:08:45,000 --> 01:08:48,039
his stomach has an incurable disease. It's eating itself. So

1071
01:08:48,199 --> 01:08:55,119
these transhumanists are killing themselves trying to live forever, all right,

1072
01:08:55,119 --> 01:08:58,359
So Speaker Mike Johnson releasing Epstein files unredacted would put

1073
01:08:58,439 --> 01:09:03,159
national security at risk. Epstein was involved in Crisper and biohacking.

1074
01:09:03,359 --> 01:09:05,880
Now that's interesting. Because that's what we're kind of talking

1075
01:09:05,880 --> 01:09:07,000
about right here with everything.

1076
01:09:07,079 --> 01:09:09,319
Speaker 2: So let's check this out, all right.

1077
01:09:10,159 --> 01:09:14,520
Speaker 7: Number five national security concerns. Okay, the discharge requires the

1078
01:09:14,560 --> 01:09:20,479
Attorney General to release within thirty days quote classified information.

1079
01:09:20,079 --> 01:09:22,520
Speaker 2: To the maxim maximum extent possible.

1080
01:09:23,239 --> 01:09:27,680
Speaker 7: This ignores the principle that declassification should always rest and

1081
01:09:27,720 --> 01:09:31,039
always has rested with the agency that originated the intelligence

1082
01:09:31,279 --> 01:09:35,680
why so that they can protect their critical sources and methods.

1083
01:09:35,720 --> 01:09:41,079
It is incredibly dangerous to demand that the officials or

1084
01:09:41,279 --> 01:09:45,039
employees of the DOJ declassify materials that originated in other

1085
01:09:45,079 --> 01:09:46,800
agencies and intelligence agencies.

1086
01:09:47,600 --> 01:09:51,159
Speaker 2: All right, So he's saying that they should just be

1087
01:09:51,159 --> 01:09:54,800
able to cover up from themselves. It's crazy. Well, let's

1088
01:09:54,840 --> 01:09:55,079
look at this.

1089
01:09:55,199 --> 01:09:58,199
Speaker 1: Christopher funded by Jeffrey Epstein Broad Institute and Rocketry made

1090
01:09:58,439 --> 01:10:01,039
possible by Maxwell's father in law, who brought guy on

1091
01:10:01,119 --> 01:10:04,239
board that took it to China, and the guy was

1092
01:10:04,399 --> 01:10:08,840
Charles liber Charles Lieber was We'll look at that because.

1093
01:10:08,760 --> 01:10:09,239
Speaker 2: He's got to.

1094
01:10:09,640 --> 01:10:11,520
Speaker 1: He's the guy who went to China, was sharing a

1095
01:10:11,560 --> 01:10:16,760
lot of this information for all this with China like neuralink.

1096
01:10:16,880 --> 01:10:17,399
Speaker 2: Et cetera.

1097
01:10:18,239 --> 01:10:23,039
Speaker 1: So let's check this out look at this, So who

1098
01:10:23,079 --> 01:10:27,560
we got here? First contributions. He became known as the

1099
01:10:27,600 --> 01:10:30,359
father of Chinese rocketry, nicknamed the King of Rocketry. He's

1100
01:10:30,399 --> 01:10:32,760
recognized as one of the founding fathers of two Bombs

1101
01:10:32,800 --> 01:10:37,399
one Satellite. Nineteen fifty nine, Kwan was elected his academic

1102
01:10:38,239 --> 01:10:45,560
mission of the Chinese Academy of Science. All right, oh, okay,

1103
01:10:45,640 --> 01:10:50,520
so Jack Parsons, I get the connection here. So remember

1104
01:10:50,560 --> 01:10:52,720
how I mentioned how Jack Parsons had a picture with

1105
01:10:52,760 --> 01:10:57,800
this Roger Melina guy or Frank Molina. Rather, Frank Molina

1106
01:10:57,920 --> 01:11:00,960
was working with Jack Parrys real close and they have

1107
01:11:01,039 --> 01:11:09,319
pictures together. And so now Christine Maxwell is married to

1108
01:11:09,359 --> 01:11:12,600
this Roger Melina guy, right, which is the son of

1109
01:11:12,640 --> 01:11:16,880
Frank Malina who gave this stuff over to China in

1110
01:11:16,920 --> 01:11:19,640
the first place. So it's very interesting. You have all

1111
01:11:19,640 --> 01:11:22,720
this connection with Epstein and everybody else. It's really crazy.

1112
01:11:22,840 --> 01:11:26,079
Every single time with these guys, they're involved in everything.

1113
01:11:28,520 --> 01:11:32,760
So Crispher's less like molecular scissors and more like molecular malware.

1114
01:11:35,439 --> 01:11:38,520
But what does this have to do with the Chinese guy?

1115
01:11:38,640 --> 01:11:45,319
Let's find out, all right, So we got California and Berkeley.

1116
01:11:45,399 --> 01:11:49,439
Crisper I remember whenever Chrisper first, like they first came

1117
01:11:49,479 --> 01:11:50,800
out with some of this stuff. I think it was

1118
01:11:50,840 --> 01:11:53,359
like right around when COVID came out that you started

1119
01:11:53,359 --> 01:11:55,279
seeing a lot of stuff about Crisper. And I think

1120
01:11:55,319 --> 01:11:58,239
that the way that that all kind of came together,

1121
01:11:58,479 --> 01:12:05,399
Crisper and and COVID, how the messaging all kind of

1122
01:12:05,439 --> 01:12:08,520
came together. Looking back, it makes a lot of sense

1123
01:12:08,560 --> 01:12:09,800
now because it is one thing.

1124
01:12:10,279 --> 01:12:13,479
Speaker 2: The mRNA is Crisper. There's really no difference here.

1125
01:12:13,600 --> 01:12:16,119
Speaker 1: So it's like we didn't even know that we were

1126
01:12:16,159 --> 01:12:19,520
taking these vaccines, not me, but other people, and we

1127
01:12:19,520 --> 01:12:22,560
were doing Crisper on ourselves without even knowing it, essentially.

1128
01:12:22,680 --> 01:12:27,319
So it's really crazy how they don't even ask your permission.

1129
01:12:27,399 --> 01:12:29,800
Speaker 2: Dude, they just do this shit. Huh.

1130
01:12:29,960 --> 01:12:34,560
Speaker 1: It's insane. But yeah, let's see. I think I have

1131
01:12:34,680 --> 01:12:36,640
one more thing to show you guys. But hold on here,

1132
01:12:36,720 --> 01:12:41,640
let me see you here. Oh yeah, the w pans Okay, okay,

1133
01:12:41,760 --> 01:12:47,279
maybe I'll send this to myself. Hold on all right,

1134
01:12:47,359 --> 01:12:51,279
So and yeah, it's all about just turning everybody into

1135
01:12:51,319 --> 01:12:54,319
a node. And I think I had there's a video

1136
01:12:54,479 --> 01:12:59,159
with Epstein or Elon Musk. We talked about everybody's going

1137
01:12:59,239 --> 01:13:07,199
to be a node node here see here, here we go,

1138
01:13:07,239 --> 01:13:13,039
here we go. Pulled this up for you. Yeah, he

1139
01:13:13,079 --> 01:13:15,199
was on Joe Rogan talking about it, of course, because

1140
01:13:15,199 --> 01:13:17,920
that's where they pushed the most propaganda.

1141
01:13:18,000 --> 01:13:26,560
Speaker 2: Every time he's got his thinking face going on, acting

1142
01:13:26,640 --> 01:13:27,279
like he's thinking.

1143
01:13:27,600 --> 01:13:29,720
Speaker 8: Is that it's we're not going to have a phone,

1144
01:13:30,439 --> 01:13:34,680
or in the additional sense, the what we call a

1145
01:13:34,760 --> 01:13:39,159
phone will really be an edge node for AI inference,

1146
01:13:39,239 --> 01:13:43,239
for for AI video inference, uh with you know, with

1147
01:13:43,279 --> 01:13:47,079
some radios to obviously connect, but but essentially we'll have

1148
01:13:48,399 --> 01:13:52,880
h AI on the service side community communicating to an

1149
01:13:52,880 --> 01:13:57,279
AI on your your device, you know, formerly known as

1150
01:13:57,279 --> 01:14:00,760
a phone, and generating real time video of anything that

1151
01:14:00,800 --> 01:14:04,279
you could possibly want. And I think that they won't

1152
01:14:04,359 --> 01:14:08,720
be operating systems. They won't be apps in the future.

1153
01:14:08,760 --> 01:14:11,000
They will be operating systems or apps. It'll just be

1154
01:14:11,760 --> 01:14:14,800
you've got a device that is there for the screen

1155
01:14:14,840 --> 01:14:19,760
and audio and for and and to put as much

1156
01:14:19,800 --> 01:14:23,359
AI on the on on the device as possible so

1157
01:14:23,479 --> 01:14:26,039
as to minimize the amount of bandwidth that's needed between

1158
01:14:26,119 --> 01:14:29,319
your edge nor device fulling known as the phone and

1159
01:14:29,439 --> 01:14:30,319
the servers.

1160
01:14:30,640 --> 01:14:34,279
Speaker 9: So if there's no apps? What will people you like,

1161
01:14:35,279 --> 01:14:40,840
will X still exist? Will will they be email platforms?

1162
01:14:41,000 --> 01:14:42,640
Or will you get everything through AI?

1163
01:14:43,479 --> 01:14:46,560
Speaker 2: You'll get everything through everything through everything through AI. Look

1164
01:14:46,600 --> 01:14:49,720
at that as opposed to having individuals that the.

1165
01:14:49,960 --> 01:14:53,520
Speaker 8: Up apps, whatever you can think of, or really whatever

1166
01:14:53,560 --> 01:14:56,000
the A I can anticipate you might want, it'll show you.

1167
01:14:57,520 --> 01:14:59,960
That's that's that's that's my prediction for where things end.

1168
01:15:01,520 --> 01:15:03,279
Speaker 2: What kind of timeframe were we're talking about here?

1169
01:15:05,079 --> 01:15:10,760
Speaker 8: I don't know, Well, it's probably five or six years

1170
01:15:10,840 --> 01:15:11,479
or something like that.

1171
01:15:12,079 --> 01:15:14,119
Speaker 1: When was this five or six years? He's saying this

1172
01:15:14,840 --> 01:15:17,479
five years? This was in June, So he's saying five

1173
01:15:17,560 --> 01:15:18,119
years from now.

1174
01:15:18,199 --> 01:15:18,479
Speaker 2: Huh.

1175
01:15:19,880 --> 01:15:21,600
Speaker 1: Now when he said that everybody's going to be an

1176
01:15:21,640 --> 01:15:24,039
AI edge node? Was that in that same video? I

1177
01:15:24,039 --> 01:15:25,079
guess he did say that. There.

1178
01:15:25,159 --> 01:15:28,279
Speaker 2: Right, let's let's make sure that you're not working.

1179
01:15:28,479 --> 01:15:31,560
Speaker 8: I'm not working on a phone.

1180
01:15:30,479 --> 01:15:32,439
Speaker 2: Okay, have you.

1181
01:15:32,439 --> 01:15:34,760
Speaker 9: Ever considered it? Has it ever popped in your head?

1182
01:15:35,920 --> 01:15:38,359
Because you might be the only person that could get

1183
01:15:38,359 --> 01:15:40,840
people off of the Apple platform.

1184
01:15:41,319 --> 01:15:42,600
Speaker 8: Well, I can tell you where I think things are

1185
01:15:42,600 --> 01:15:45,479
going to go, which is that it's we're not going

1186
01:15:45,560 --> 01:15:49,159
to have a phone or in the additional sense.

1187
01:15:49,279 --> 01:15:52,800
Speaker 1: That what we call a phone will really yeah he

1188
01:15:52,840 --> 01:15:55,840
said the AI edge Noe. Okay, so but people will

1189
01:15:55,840 --> 01:15:57,640
be too, that's kind of what he is kind of

1190
01:15:57,680 --> 01:16:00,800
not is that, but either way? All right, So let

1191
01:16:00,840 --> 01:16:04,479
me go ahead and pull up something I had Rebelsen

1192
01:16:04,600 --> 01:16:06,880
me thank you, and I'll pull this up here because

1193
01:16:06,920 --> 01:16:11,359
this is interesting one for a couple of reasons. Main

1194
01:16:11,399 --> 01:16:16,039
reason being because selfishly, I'm from Saint Louis and I

1195
01:16:16,079 --> 01:16:20,680
think this is crazy that Wireless Protocols for Internet of

1196
01:16:20,760 --> 01:16:25,079
Things Part two Washington University in Saint Louis.

1197
01:16:25,119 --> 01:16:28,199
Speaker 2: This is where this came out of. So this is

1198
01:16:28,239 --> 01:16:31,079
a lecture in Saint Louis, Washington University.

1199
01:16:32,680 --> 01:16:36,000
Speaker 1: Crazy because that place has definitely got Chinese spies in it.

1200
01:16:36,079 --> 01:16:37,359
Speaker 2: I'll tell you that right now.

1201
01:16:38,479 --> 01:16:41,319
Speaker 1: I want to say seventy percent of the students there

1202
01:16:41,399 --> 01:16:42,159
are Asian.

1203
01:16:42,439 --> 01:16:48,079
Speaker 2: But that's generous. Okay, So let's look at this.

1204
01:16:49,880 --> 01:16:51,760
Speaker 1: So let's gets into everything we're talking about the Internet

1205
01:16:51,800 --> 01:16:56,600
of Things Part two Wireless Personal Area Networks WPA N. Right,

1206
01:16:56,640 --> 01:16:59,680
so this is you know, this is like you know

1207
01:16:59,680 --> 01:17:02,479
you could the wp A N on your Wi Fi.

1208
01:17:02,680 --> 01:17:04,680
Speaker 2: Well, this is going to be everything's going to have this,

1209
01:17:08,239 --> 01:17:11,399
so nice look at all this.

1210
01:17:12,760 --> 01:17:15,479
Speaker 1: So we got battery powered maximum battery life cell a

1211
01:17:15,479 --> 01:17:17,239
few hours days for a coin and sell.

1212
01:17:18,239 --> 01:17:19,600
Speaker 2: What have we got here? Let's see.

1213
01:17:22,560 --> 01:17:27,000
Speaker 1: Oh so this is just different okay, okay, testing it

1214
01:17:27,039 --> 01:17:30,159
out for different things here. Yeah, so this is kind

1215
01:17:30,159 --> 01:17:32,199
of what we're dealing. Oh, the mesh versus the star.

1216
01:17:33,399 --> 01:17:35,640
So the mess system is what they want to get

1217
01:17:35,640 --> 01:17:36,520
to eventually.

1218
01:17:36,560 --> 01:17:40,359
Speaker 2: That's the Tetra Terra heart system shit.

1219
01:17:40,760 --> 01:17:43,039
Speaker 1: But yeah, dude, I'm not like super deep into all

1220
01:17:43,039 --> 01:17:45,960
this crazy shit here, but this is the Internet of

1221
01:17:46,000 --> 01:17:48,920
things and how it works as far as the sensors

1222
01:17:49,000 --> 01:17:54,319
working with each other, Paul swits and everything. Some fucking

1223
01:17:54,319 --> 01:17:57,439
shit that I don't think is really that. We don't

1224
01:17:57,439 --> 01:18:00,319
need to do that to know that they are hooking

1225
01:18:00,439 --> 01:18:04,239
us up, That's what I think. But yeah, this is

1226
01:18:04,319 --> 01:18:07,920
a crazy world we're living in. And uh, the sixty Agenda.

1227
01:18:08,359 --> 01:18:13,159
It's funny, we're on point over here at sixty Agenda.

1228
01:18:13,239 --> 01:18:15,399
Due we know exactly what's coming. That's what all this is.

1229
01:18:18,079 --> 01:18:20,720
But thank you guys. What else we got here, I'll

1230
01:18:20,760 --> 01:18:23,279
check out check out some of this. We got chrisper

1231
01:18:23,279 --> 01:18:26,760
genome editing through the Institute for Interdisciplinary Data Science, which

1232
01:18:26,880 --> 01:18:33,079
houses core facilities dedicated to bioinformatics, genomics, and computational monitor.

1233
01:18:34,720 --> 01:18:37,760
Speaker 2: How many of these I wonder how many of these?

1234
01:18:40,119 --> 01:18:40,800
How many of these?

1235
01:18:41,000 --> 01:18:41,159
Speaker 1: Uh?

1236
01:18:45,239 --> 01:18:47,119
Speaker 2: Well, you know in Utah they have a large that's

1237
01:18:47,119 --> 01:18:49,039
where they keep the big DNA database.

1238
01:18:49,399 --> 01:18:50,880
Speaker 1: And I want to know how much of this is

1239
01:18:50,920 --> 01:18:53,199
going on in like Utah, you know, like how much

1240
01:18:54,000 --> 01:18:58,279
how much Mormons are involved. I'm really curious because they're

1241
01:18:58,279 --> 01:19:01,079
heavily involved with the uh graping up of all the

1242
01:19:01,159 --> 01:19:05,079
DNA and keeping it in a database which is like

1243
01:19:05,119 --> 01:19:07,920
the twenty three meters and everything else. Heavily involved and

1244
01:19:08,279 --> 01:19:12,840
funded by Epstein as well. So I think it all interconnects.

1245
01:19:12,840 --> 01:19:16,119
You know, you have the anti Witchkowsky or whatever, and Watsowski,

1246
01:19:16,199 --> 01:19:19,720
which was invited to dinners with Epstein. She was also

1247
01:19:19,800 --> 01:19:23,119
inside a Peter Thiel's secret society, the Dialogue Society.

1248
01:19:24,239 --> 01:19:26,520
Speaker 2: So it's all all these people are connected. Dude.

1249
01:19:26,520 --> 01:19:31,039
Speaker 1: It's really nuts, and everybody kind of talks about like

1250
01:19:31,039 --> 01:19:33,279
a piece of it. But clearly they're studying your DNA

1251
01:19:33,319 --> 01:19:35,159
so they can learn how to do this turn you

1252
01:19:35,239 --> 01:19:37,000
into a node in the system.

1253
01:19:37,560 --> 01:19:42,760
Speaker 2: It's not about like you know, alien DNA or Nordic DNA.

1254
01:19:43,000 --> 01:19:47,239
Speaker 1: It's about just understanding how to do use messenger RNA

1255
01:19:47,560 --> 01:19:51,760
technology to make you a node in this six g

1256
01:19:52,479 --> 01:19:55,880
mesh system.

1257
01:19:56,159 --> 01:19:56,600
Speaker 2: Crazy.

1258
01:19:57,000 --> 01:19:59,159
Speaker 1: Hey, man, if you guys like what you heard we

1259
01:19:59,239 --> 01:20:01,640
got on the bannard here, you can go hit up

1260
01:20:01,640 --> 01:20:04,680
our vemo if you like. It's called at the sixty

1261
01:20:04,720 --> 01:20:08,439
agenda on Venmo because can't start it with a number,

1262
01:20:08,479 --> 01:20:12,359
I guess, or PayPal at sixty agenda at the sixty

1263
01:20:12,359 --> 01:20:17,199
agenda on Venmo. And yeah, otherwise, just like follow, subscribe.

1264
01:20:17,479 --> 01:20:19,000
If you guys enjoyed what you heard. This was a

1265
01:20:19,000 --> 01:20:21,479
little bit of a deep dive. But yes, we are

1266
01:20:21,479 --> 01:20:27,239
headed towards a hive mind system through this biodigital convergence,

1267
01:20:27,399 --> 01:20:31,680
and it's not inevitable. There is a way to stop this,

1268
01:20:31,760 --> 01:20:33,920
and that would be for everybody to kind of get

1269
01:20:34,000 --> 01:20:34,840
your shit together.

1270
01:20:34,960 --> 01:20:36,560
Speaker 2: Wake up. When will you people wake up?

1271
01:20:36,560 --> 01:20:39,760
Speaker 1: As Bill Cooper said, But no, it's time for real

1272
01:20:39,840 --> 01:20:44,479
to you know, come together and organize, man, because people

1273
01:20:44,479 --> 01:20:47,600
are finally starting to fight back a little bit against these.

1274
01:20:49,119 --> 01:20:49,920
Speaker 2: Flock cameras.

1275
01:20:50,359 --> 01:20:52,800
Speaker 1: So that's good because we need to get them the

1276
01:20:52,800 --> 01:20:54,479
fuck out of here too. I don't know if you

1277
01:20:54,520 --> 01:20:58,800
guys saw this, but across America. We've got people fighting

1278
01:20:58,800 --> 01:21:02,039
these flock cameras and everything. Let me go ahead and

1279
01:21:02,039 --> 01:21:12,119
show that to you. All right, check this out. So

1280
01:21:12,159 --> 01:21:15,159
we got Austin Fits because this is where it's leading to.

1281
01:21:15,279 --> 01:21:17,319
Let me just mention this as well, because Catine Austin

1282
01:21:17,319 --> 01:21:19,880
Fits is right, it's leading to programmable money. Like I said,

1283
01:21:19,920 --> 01:21:23,319
it's everything I've been saying, the six x' six Microsoft patent,

1284
01:21:23,640 --> 01:21:26,039
and then of course you have the billion dollar Microsoft

1285
01:21:26,039 --> 01:21:31,359
deal with Coca Cola putting nanoparticles into your drinks SP

1286
01:21:31,399 --> 01:21:35,720
three hybridized carbon atoms, putting that into your COVID vaccines,

1287
01:21:36,039 --> 01:21:40,199
telling you there's not graphenoxide in it. However, graphine oxides

1288
01:21:40,399 --> 01:21:44,159
SP two hybridized carbon atoms. It's only one thing.

1289
01:21:44,520 --> 01:21:48,239
Speaker 6: Catherine Austin Fits warns that programmable money, digital ID and

1290
01:21:48,319 --> 01:21:51,880
AI driven mass surveillance form three interlocking pillars of a

1291
01:21:51,960 --> 01:21:56,520
digital control grid, enabling authorities to centrally enforce desired behavior

1292
01:21:56,720 --> 01:21:59,000
by threatening to turn off your money unless you do

1293
01:21:59,079 --> 01:22:00,000
exactly as you're toe.

1294
01:22:00,600 --> 01:22:04,760
Speaker 10: There are three legs to the digital control grin, and

1295
01:22:04,920 --> 01:22:07,840
what you need to do is understand them independently, but

1296
01:22:07,880 --> 01:22:11,399
then how they work together. The first is programmable money,

1297
01:22:11,520 --> 01:22:14,760
money that can be programmed and can be used.

1298
01:22:15,119 --> 01:22:18,960
Speaker 1: Now, the programming aspect is again these cells and sensors

1299
01:22:18,960 --> 01:22:21,359
that work and speak to each other inside your body.

1300
01:22:21,880 --> 01:22:24,840
That's the way you can program the money to yourselves.

1301
01:22:24,840 --> 01:22:27,079
You have to have something in your body that makes

1302
01:22:27,119 --> 01:22:31,680
it programmable implantables as well. That's the Internet of Things

1303
01:22:31,760 --> 01:22:33,920
aspect to it, and internetive bodies is what.

1304
01:22:33,920 --> 01:22:39,000
Speaker 10: It creates centrally to make rules and enforce them centrally

1305
01:22:39,439 --> 01:22:41,760
without a human chain of command in the middle. And

1306
01:22:41,800 --> 01:22:44,319
we can talk about that more. The second is a

1307
01:22:44,359 --> 01:22:47,319
digital ID, because it's very important if I'm going to

1308
01:22:47,720 --> 01:22:51,600
implement control through digital mechanisms, I need to make sure

1309
01:22:51,680 --> 01:22:53,680
you're you and Catherine's Catherine.

1310
01:22:53,720 --> 01:22:56,279
Speaker 2: And that's the new Kids Act, the Kids Act.

1311
01:22:56,720 --> 01:23:02,079
Speaker 1: They're pushing this whole digital ID for kids on the Internet,

1312
01:23:02,119 --> 01:23:04,079
but people don't see it. A lot of people aren't

1313
01:23:04,079 --> 01:23:07,439
seeing it's a trojan horse build. It's going to actually

1314
01:23:07,439 --> 01:23:12,640
force almost everybody to have to use, you know, a

1315
01:23:12,680 --> 01:23:14,159
digital ID on the Internet.

1316
01:23:14,399 --> 01:23:17,199
Speaker 10: Harry Towry and Sam is Sam. So you need a

1317
01:23:17,359 --> 01:23:23,039
very high quality digital identification system which is interoperable globally.

1318
01:23:23,600 --> 01:23:25,439
And then the third thing you need is you need

1319
01:23:25,479 --> 01:23:28,600
the hardware and software infrastructure, and so you need the

1320
01:23:28,680 --> 01:23:33,600
data centers. You need the underground cables, you need the

1321
01:23:33,800 --> 01:23:37,560
AI to process enormous amounts of data, and you need

1322
01:23:37,680 --> 01:23:40,479
all the cameras and other items including.

1323
01:23:40,159 --> 01:23:42,560
Speaker 1: S and as we're just looking at, the data centers

1324
01:23:42,600 --> 01:23:46,000
can be powered by you. You can be the battery

1325
01:23:46,039 --> 01:23:51,239
for this data center because it's a self harvesting system.

1326
01:23:51,680 --> 01:23:55,119
It harvests the energy from your body to keep itself generating,

1327
01:23:55,199 --> 01:23:57,960
so then it can generate in turn.

1328
01:23:58,720 --> 01:23:59,479
Speaker 2: The data center.

1329
01:24:00,359 --> 01:24:03,079
Speaker 1: All of us together would be the battery.

1330
01:24:02,760 --> 01:24:07,640
Speaker 10: Cell satellites that you need for surveillance. So essentially you're

1331
01:24:07,680 --> 01:24:12,199
creating a system that can do surveillance. I can track

1332
01:24:12,920 --> 01:24:17,079
where you're going and what you're doing, and how you're

1333
01:24:17,199 --> 01:24:20,039
using and spending your money and your time and your resources.

1334
01:24:20,439 --> 01:24:23,600
And then I can use that data to create incentive

1335
01:24:23,640 --> 01:24:25,720
systems that encourage you to do what I want and

1336
01:24:25,800 --> 01:24:29,680
discourage you from, you know, doing what I don't want

1337
01:24:29,680 --> 01:24:33,840
you to do, and including essentially threatening to turn off

1338
01:24:33,840 --> 01:24:35,319
your money unless you do exactly.

1339
01:24:36,279 --> 01:24:38,720
Speaker 1: And it's funny because that's what Trump warned about, and

1340
01:24:38,760 --> 01:24:41,279
he's getting with the digital money and he's going right

1341
01:24:41,279 --> 01:24:44,399
into the digital money. He doesn't give a shit, you know,

1342
01:24:47,000 --> 01:24:49,000
Roger Stone. We don't want to hear anything about him

1343
01:24:49,000 --> 01:24:50,840
in MK Ultra. I'm good on that. So I want

1344
01:24:50,880 --> 01:24:52,800
to pull up a little bit more about this because

1345
01:24:53,960 --> 01:24:56,039
this is what I think is here as far as

1346
01:24:56,079 --> 01:25:00,640
all this goes. So of course you have like I mentioned,

1347
01:25:00,720 --> 01:25:03,840
let's pull this up. This talks about the conductivity of

1348
01:25:03,880 --> 01:25:06,800
the energy, like where they can use you to here,

1349
01:25:07,079 --> 01:25:11,279
I'll read it energy harvesting from animal and human body

1350
01:25:11,520 --> 01:25:15,560
for self powered electronics. Let's pull that up because this

1351
01:25:15,600 --> 01:25:18,000
shit is crazy. So they are going to literally use

1352
01:25:18,039 --> 01:25:20,560
you as the battery cell. Just like in the Matrix

1353
01:25:21,000 --> 01:25:27,720
when Morpheus says you're this, it holds up a battery, so.

1354
01:25:27,680 --> 01:25:31,079
Speaker 2: It says, right here, energy harvesting. Look at this.

1355
01:25:32,079 --> 01:25:34,760
Speaker 1: Remember when I said that the Gnostics say we live

1356
01:25:34,800 --> 01:25:38,760
in a digital prison, a prison planet, and that it's

1357
01:25:38,760 --> 01:25:41,399
pretty much the archons are harvesting our energy while we

1358
01:25:41,439 --> 01:25:44,960
live here. They're going to actually create a prison planet

1359
01:25:45,159 --> 01:25:48,760
with this digital replica of the world essentially that they

1360
01:25:48,760 --> 01:25:52,279
want to plug us into, and it's going to harvest

1361
01:25:52,319 --> 01:25:54,760
our energy in order to power itself, just like the

1362
01:25:54,800 --> 01:25:58,000
Gnostic prison planet. That they believe we live in already.

1363
01:25:58,880 --> 01:26:02,720
You see the irony of this. Yes, this is in

1364
01:26:02,800 --> 01:26:03,840
twenty seventeen.

1365
01:26:04,359 --> 01:26:04,760
Speaker 2: You see this.

1366
01:26:04,960 --> 01:26:08,039
Speaker 1: Twenty seventeen, this came out and they're talking about harvesting

1367
01:26:08,039 --> 01:26:15,960
your energy to power electronics. So humans and animals have

1368
01:26:16,000 --> 01:26:20,760
abundant energy sources chemical, thermal, and mechanical forms. The use

1369
01:26:20,800 --> 01:26:23,960
of these energies present a viable way to overcome the

1370
01:26:24,000 --> 01:26:27,800
battery capacity limitation that constrains the long term operation of

1371
01:26:27,880 --> 01:26:30,159
wearable and implantable devices.

1372
01:26:30,600 --> 01:26:33,399
Speaker 2: So use the humans to power it themselves.

1373
01:26:34,279 --> 01:26:38,880
Speaker 1: The intersection of novel materials and fabrication techniques offers boundless

1374
01:26:38,880 --> 01:26:42,840
possibilities for the benefit of human health and well being

1375
01:26:42,920 --> 01:26:48,000
via various types of energy harvesters. So we discuss a

1376
01:26:48,039 --> 01:26:52,520
broad range of energy harvesters placed in or on various

1377
01:26:52,560 --> 01:26:55,960
parts of the body of the human and animal model.

1378
01:26:57,680 --> 01:27:00,560
So this is just some crazy shit, dude. So we've

1379
01:27:00,560 --> 01:27:05,159
got energy harvesting. It can come from electrochemical, biofuel, cell

1380
01:27:05,279 --> 01:27:12,640
thermoelectric electricity, thermal energy, piezoelectricity, which is like your body's

1381
01:27:12,640 --> 01:27:18,840
on like electrical energy, and kinetic energy. So we're talking

1382
01:27:18,880 --> 01:27:22,600
about biofuels all kinds of shit. I mean, what the

1383
01:27:22,640 --> 01:27:25,760
fuck is that? That's the synthetic fibers are putting in

1384
01:27:25,800 --> 01:27:26,239
you right there?

1385
01:27:26,279 --> 01:27:31,439
Speaker 2: You see that. But again, it seems that they've got.

1386
01:27:31,239 --> 01:27:34,159
Speaker 1: It all figured out as far as how they're gonna

1387
01:27:34,159 --> 01:27:36,560
hook us up to this system and it's gonna self

1388
01:27:36,600 --> 01:27:40,520
generate itself. Now, just for shits and giggles, I kind

1389
01:27:40,520 --> 01:27:42,880
of want to bring up the little clip you know

1390
01:27:42,960 --> 01:27:46,239
of Morpheus talking about us being a battery, you know,

1391
01:27:49,680 --> 01:27:51,319
I mean, that's the best clip of the movie, really,

1392
01:27:51,359 --> 01:27:53,199
if you think, one of the best clips of the movie.

1393
01:27:54,880 --> 01:28:00,640
Speaker 2: So let's pull this up so there's no price. I mean,

1394
01:28:00,640 --> 01:28:02,159
I'm telling you, dude, you gotta follow.

1395
01:28:02,199 --> 01:28:05,520
Speaker 1: If you're on X, you gotta follow Noah Price, Dude,

1396
01:28:06,000 --> 01:28:09,039
this guy's got banger shit. Man, it's all stuff that

1397
01:28:09,079 --> 01:28:12,359
like we talk about here, He's clearly in the same realm,

1398
01:28:13,800 --> 01:28:15,399
same realm of research that we are.

1399
01:28:18,960 --> 01:28:22,199
Speaker 7: The human body generates more bioelectricity than a one hundred

1400
01:28:22,199 --> 01:28:24,560
and twenty four battery, and over twenty.

1401
01:28:24,239 --> 01:28:28,960
Speaker 2: Five thousand beat used look quiet.

1402
01:28:29,239 --> 01:28:33,159
Speaker 7: Combined with a form of fusion, the machines had found

1403
01:28:33,600 --> 01:28:34,800
all the energy.

1404
01:28:34,560 --> 01:28:35,439
Speaker 2: They would ever need.

1405
01:28:39,760 --> 01:28:42,840
Speaker 1: And remember, the matrix is a gnostic movie. You know,

1406
01:28:43,359 --> 01:28:47,239
the whole movie is kind of a gnostic symbolic esoteric movie.

1407
01:28:47,279 --> 01:28:49,760
But then when you look at what he says right

1408
01:28:49,800 --> 01:28:52,800
here where he talks about the thermo energy that a

1409
01:28:52,840 --> 01:28:56,319
body produces, it's right. I mean, it's one hundred percent

1410
01:28:56,800 --> 01:28:57,920
what they're doing right now.

1411
01:28:58,600 --> 01:29:03,600
Speaker 2: There're a fields, endless fields, whereas human beings are no

1412
01:29:03,640 --> 01:29:06,920
longer born, you're grown.

1413
01:29:11,920 --> 01:29:14,159
Speaker 1: I'm gonna do this the best movie ever in the

1414
01:29:14,199 --> 01:29:16,720
movies that came out in nineteen ninety nine, I mean,

1415
01:29:17,079 --> 01:29:20,560
these are the movies that get you get this like

1416
01:29:21,039 --> 01:29:26,159
telling of the future that we're walking into now. So

1417
01:29:26,399 --> 01:29:28,199
Neil wakes up in the pot, of course, welcome to

1418
01:29:28,239 --> 01:29:30,000
the real world. Let's get to where he says that,

1419
01:29:30,039 --> 01:29:36,520
because it's interesting. He says that, hold on here, all right, anyway,

1420
01:29:36,760 --> 01:29:41,520
let me go over to here we go. So this

1421
01:29:41,600 --> 01:29:44,800
is a eugenics of course, Bill Gates involved with this.

1422
01:29:45,119 --> 01:29:49,720
Let's check this out. It's video long ass post. Oh boy,

1423
01:29:52,319 --> 01:29:55,119
holy shit boy. Oh well, I don't know if we

1424
01:29:55,159 --> 01:29:55,760
want to look at this.

1425
01:29:56,640 --> 01:29:57,439
Speaker 2: Let's go ahead and go.

1426
01:29:57,439 --> 01:30:01,800
Speaker 1: To what I had over here. It's fine, that looked

1427
01:30:01,840 --> 01:30:09,560
little graphic, guys. I ain't gonna do that to you. So,

1428
01:30:09,680 --> 01:30:12,800
like I said, like I mentioned a minute ago, they're

1429
01:30:12,880 --> 01:30:16,640
using your energy, harvesting it and then using it to

1430
01:30:16,720 --> 01:30:19,720
power the systems that they're creating. And when I mentioned

1431
01:30:19,760 --> 01:30:24,359
earlier that they've created machines computers that can run off

1432
01:30:24,359 --> 01:30:28,560
of brain cells, that's some crazy shit, dude. That's when

1433
01:30:28,600 --> 01:30:30,520
we get I mean, I don't even know how to

1434
01:30:30,560 --> 01:30:33,199
look at that. You know, Let's see what else we

1435
01:30:33,279 --> 01:30:39,720
got in this. Yeah, this hybrid three D printing. Were

1436
01:30:39,720 --> 01:30:43,760
they able to make flexible, wearable sensors kind of like skin,

1437
01:30:44,560 --> 01:30:49,720
So they almost can make like synthetic skin, which is.

1438
01:30:49,840 --> 01:30:52,479
Speaker 2: Kind of crazy. Check that out here.

1439
01:30:56,600 --> 01:30:59,439
Speaker 1: A welcome everybody on x go, check us out on

1440
01:30:59,479 --> 01:31:03,760
YouTube at the sixty Agenda at sixty Agenda on YouTube,

1441
01:31:03,920 --> 01:31:06,520
and you can find us live talking about this crazy

1442
01:31:06,560 --> 01:31:10,199
shit all the time. Definitely check us out over there.

1443
01:31:12,880 --> 01:31:14,840
All right, so let's check this out as well.

1444
01:31:15,760 --> 01:31:22,479
Speaker 2: No shit, So the.

1445
01:31:22,439 --> 01:31:25,800
Speaker 1: Antenna aspect that people have said, like the vaccinated people

1446
01:31:25,800 --> 01:31:28,760
are antennas, they're walking antennas, we've laid out now in

1447
01:31:28,800 --> 01:31:31,680
this episode that that is not a wrong statement. They

1448
01:31:31,720 --> 01:31:35,439
do have this hybridized carbon atoms inside of people, and

1449
01:31:35,439 --> 01:31:41,439
we've already established that lucifer race. That lucifer bio aluminescence

1450
01:31:42,119 --> 01:31:48,239
substance oxidizes these nanoparticles in your body. So they're using

1451
01:31:48,239 --> 01:31:52,239
a substance it's named after lucifer to help operate this system.

1452
01:31:54,600 --> 01:32:10,279
Let's see what this guy's guys say here, Oh shit.

1453
01:32:10,840 --> 01:32:12,560
Speaker 3: And there's a reason why you can get an AD

1454
01:32:13,000 --> 01:32:14,920
for something. In like you were thinking.

1455
01:32:14,640 --> 01:32:17,479
Speaker 2: About do you know that we have six G? Now

1456
01:32:17,800 --> 01:32:19,439
six g's actually been out for a while.

1457
01:32:19,600 --> 01:32:22,439
Speaker 3: Really, Yeah, they can measure e G waves like phones

1458
01:32:22,439 --> 01:32:26,079
can measure EG waves, and that that basically can borderline

1459
01:32:26,119 --> 01:32:28,279
read your thoughts. And there's a reason why you can

1460
01:32:28,279 --> 01:32:30,840
get an AD for something. And like you were thinking

1461
01:32:30,840 --> 01:32:34,119
about it, the five G couldn't penetrate deep enough into

1462
01:32:34,199 --> 01:32:36,560
the cell and that's why. So what would happen is

1463
01:32:36,720 --> 01:32:39,199
when all these towers were put up, you'd see kids

1464
01:32:39,279 --> 01:32:43,359
that were you know, they would get burns underneath their

1465
01:32:43,439 --> 01:32:47,359
skin just because the graphine cooks and cooks them from it.

1466
01:32:47,359 --> 01:32:48,039
Speaker 2: The inside out.

1467
01:32:48,439 --> 01:32:49,960
Speaker 3: And this is what I've been explaining to people is

1468
01:32:49,960 --> 01:32:52,319
your body's a liquid crystal, and a crystal is.

1469
01:32:52,239 --> 01:32:53,079
Speaker 2: Basically an intent.

1470
01:32:53,680 --> 01:32:56,760
Speaker 3: So you have hundreds of thousands of millions of crystals

1471
01:32:56,800 --> 01:33:00,000
in your body, and that's how your body communicates with yourself.

1472
01:33:00,359 --> 01:33:03,520
So how do they shut these things down? Heavy metals

1473
01:33:03,840 --> 01:33:06,760
you need, things that are improper disrupts the communication between

1474
01:33:06,800 --> 01:33:09,399
the body, You get into a state of consumption, your

1475
01:33:09,439 --> 01:33:13,520
autonomic function shut down. It's so simple, but they overcomplicate

1476
01:33:13,560 --> 01:33:16,760
it and then they you're talking to some doctors one.

1477
01:33:16,680 --> 01:33:20,560
Speaker 1: Hundred percent, and that is the system that they're creating

1478
01:33:20,600 --> 01:33:24,039
and putting in us without even even consulting.

1479
01:33:24,119 --> 01:33:26,920
Speaker 2: Can you believe it? Here? Check this out? So and

1480
01:33:26,960 --> 01:33:28,279
this is what it's leading to. Right.

1481
01:33:28,319 --> 01:33:30,800
Speaker 1: So, I just did an episode called AI Voice to

1482
01:33:30,840 --> 01:33:35,479
Skull Technology, and right after I did this episode, this

1483
01:33:35,520 --> 01:33:42,439
comes out right after youwards, not before, but after. Oh shit, dude,

1484
01:33:42,439 --> 01:33:44,479
I got this PDF thing in front of here. Hold on,

1485
01:33:46,359 --> 01:33:47,039
what the fuck?

1486
01:33:47,159 --> 01:33:48,119
Speaker 2: Okay?

1487
01:33:48,319 --> 01:33:52,600
Speaker 1: Meta's new AI can turn your thoughts into text without

1488
01:33:52,600 --> 01:33:56,159
a brain implant. This came out June thirtieth, twenty twenty six.

1489
01:33:56,760 --> 01:34:00,600
I did that episode on June twenty sixth, days before

1490
01:34:00,640 --> 01:34:03,600
this came out, I was talking about the technology of

1491
01:34:03,680 --> 01:34:07,840
like Voice to Scull, the history of Like del Gado's work,

1492
01:34:08,279 --> 01:34:12,560
Alan Frey's work, just describing like what Voice to Skull is,

1493
01:34:12,640 --> 01:34:17,920
what implantables are what brain computer interfaces are, and how

1494
01:34:17,920 --> 01:34:21,439
it's progressed to today where AI can do this and

1495
01:34:21,600 --> 01:34:24,520
read your brains. And now here we are Meta hasn't

1496
01:34:24,600 --> 01:34:29,640
veiled brain too Querity V two. Notice it's called V

1497
01:34:29,720 --> 01:34:32,720
two just like V two K an AI system that

1498
01:34:32,720 --> 01:34:36,720
converts brain activity into written sentences without requiring surgery or

1499
01:34:36,760 --> 01:34:40,800
implanted chips. So this technology is still experimental, but it

1500
01:34:40,840 --> 01:34:42,960
could one day help people who have lost the abode

1501
01:34:43,039 --> 01:34:46,439
to speak. Now we know DARPA rolls this shit out

1502
01:34:46,479 --> 01:34:50,920
whenever they're ready. It's not experimental anymore, I bet. And

1503
01:34:50,960 --> 01:34:53,800
then we got another one where AI is reading a

1504
01:34:53,880 --> 01:34:57,760
person's thoughts and this stuff's all one hundred percent real

1505
01:34:57,800 --> 01:35:01,239
now right, so we've got it now this was last

1506
01:35:01,279 --> 01:35:04,960
year can read a person's thoughts with a quick brain

1507
01:35:05,000 --> 01:35:11,640
scan and almost no training. So how is this again, Meta?

1508
01:35:11,720 --> 01:35:14,319
How is this a experimental thing? If we've had this

1509
01:35:14,399 --> 01:35:18,760
since you know a few years ago. Now they've made

1510
01:35:18,760 --> 01:35:22,079
improvements to a brain decoder that uses artificial intelligence to

1511
01:35:22,159 --> 01:35:26,119
convert thoughts into text. The new converter algorithm can quickly

1512
01:35:26,119 --> 01:35:30,640
train an existing decoder on another person's brain, and the

1513
01:35:30,680 --> 01:35:33,880
findings could one day support people with aphasia, brain disorder

1514
01:35:33,920 --> 01:35:37,560
that affects person's ability to communicate. They can do a

1515
01:35:37,560 --> 01:35:41,359
lot more than that, though, can it reading your mind?

1516
01:35:41,640 --> 01:35:45,800
Speaker 2: Yeah? We just want to help people talk better. Yeah. Okay,

1517
01:35:46,920 --> 01:35:48,399
So this is this is.

1518
01:35:48,319 --> 01:35:52,239
Speaker 1: Where it leads, isn't it this crazy place where again,

1519
01:35:52,319 --> 01:35:55,960
as I always say, Singularity is about man becoming silicon.

1520
01:35:56,039 --> 01:35:58,239
Speaker 2: It's not about AGI.

1521
01:35:58,439 --> 01:36:04,399
Speaker 1: It's not about you know AI, It's about man evolving

1522
01:36:05,000 --> 01:36:09,479
out of you know, transhumanism. It's the transhuman agenda ran

1523
01:36:09,560 --> 01:36:13,239
by you know, processes that are made out of nanotechnology,

1524
01:36:13,640 --> 01:36:18,319
and they're making a digital replica of God's creation and

1525
01:36:18,680 --> 01:36:20,319
they're kind of doing a good job at it if

1526
01:36:20,359 --> 01:36:24,760
you really think about it. And I agree, most likely

1527
01:36:24,800 --> 01:36:26,840
they're just trying to scare us. There's no way and

1528
01:36:26,920 --> 01:36:29,520
I hope so Gez, I think you're right, But it

1529
01:36:29,640 --> 01:36:31,199
is still worth going over, you know what I mean.

1530
01:36:31,279 --> 01:36:33,319
I mean, I don't walk in fear. But at the

1531
01:36:33,319 --> 01:36:39,359
same time, uh, this shit's crazy. So I think we're

1532
01:36:39,359 --> 01:36:40,600
gonna you know, I think it's a good time to

1533
01:36:40,640 --> 01:36:44,000
start getting into the Mystery Babylon series by Bill Cooper.

1534
01:36:44,199 --> 01:36:46,800
I'm gonna revamp Mystery Babylon by Bill Cooper.

1535
01:36:46,840 --> 01:36:49,079
Speaker 2: I've talked about it many times, but I.

1536
01:36:49,000 --> 01:36:51,199
Speaker 1: Think it's time to get get out of some of

1537
01:36:51,239 --> 01:36:53,600
this and get into what Mystery Babylon is.

1538
01:36:53,680 --> 01:36:55,119
Speaker 2: Bill Cooper died.

1539
01:36:55,159 --> 01:36:59,000
Speaker 1: If you don't know who that is a major conspiracy

1540
01:36:59,720 --> 01:37:04,079
these conspiracy theory Godfather, you know, Behold a Pale Horse

1541
01:37:04,159 --> 01:37:05,760
is kind of like a must read if you're in

1542
01:37:05,840 --> 01:37:10,359
this space. And after that, I would highly recommend listening

1543
01:37:10,439 --> 01:37:16,520
to all of his thousands of hours on Hour of

1544
01:37:16,560 --> 01:37:19,600
the Time, which is his radio show. And he did

1545
01:37:19,760 --> 01:37:23,159
something called Mystery Babylon and it's like a thirty part

1546
01:37:23,279 --> 01:37:27,600
series just getting into like what mystery schools are, how

1547
01:37:27,600 --> 01:37:31,039
they evolved over time, and what they became today. And

1548
01:37:31,239 --> 01:37:34,479
you can really understand everything by hearing this series. So

1549
01:37:35,520 --> 01:37:38,319
starting next week, I'm gonna get that going. I'll probably

1550
01:37:38,359 --> 01:37:42,960
invite Doc Brown on here. We'll do a little episode together,

1551
01:37:43,439 --> 01:37:45,479
and yeah, Mystery Babylon be on the lookout for that.

1552
01:37:46,560 --> 01:37:49,439
But man, this past few five episodes have been all

1553
01:37:49,479 --> 01:37:55,199
about like AI Voice, Di Scull, tech MK Ultra, you know,

1554
01:37:55,359 --> 01:37:58,279
cell member and computing. It all is one story here.

1555
01:37:58,680 --> 01:38:01,159
So we got about three hundred people watching at the moment.

1556
01:38:01,199 --> 01:38:03,039
This is crazy right at the end, we had a

1557
01:38:03,079 --> 01:38:05,399
lot of people come in. Please go check out the

1558
01:38:05,479 --> 01:38:07,560
YouTube six g agenda on YouTube.

1559
01:38:08,199 --> 01:38:09,439
Speaker 2: We've got the.

1560
01:38:09,399 --> 01:38:11,720
Speaker 1: Past five or six episodes are all about the topic

1561
01:38:11,760 --> 01:38:15,399
that we discussed today, and it'll lead up into this

1562
01:38:15,439 --> 01:38:16,479
episode today as well.

1563
01:38:16,600 --> 01:38:18,760
Speaker 2: So this one's a deep dive.

1564
01:38:18,960 --> 01:38:23,760
Speaker 1: And if you want to know if there is graphioxide

1565
01:38:23,760 --> 01:38:27,039
in your vaccines or in your food or in your

1566
01:38:27,079 --> 01:38:32,560
Coca cola, you gotta watch this episode. Bill Cooper stuff

1567
01:38:32,600 --> 01:38:35,479
is on YouTube a little bit. You can find it sometimes, Tim,

1568
01:38:35,760 --> 01:38:38,119
but yeah, I'll be doing that this week. We're gonna

1569
01:38:38,119 --> 01:38:41,600
revamp Bill Cooper's work. Thank you everybody. It's been a

1570
01:38:41,600 --> 01:38:44,239
great episode. Happy Sunday. And again, if you're watching this

1571
01:38:44,399 --> 01:38:47,520
on X three hundred people, I'd really appreciate it. Go

1572
01:38:47,600 --> 01:38:53,800
check out our YouTube six g agenda. Otherwise, thanks everybody,