Don't Call It Quantum! NEW Thermodynamic Microchip

Video Transcript

# Don't Call It Quantum! NEW Thermodynamic Microchip Carl Sean could not have predicted 2021, but he did see it coming. He wrote the following back in 1995, and we quote, "I have a forboating of an America in my children's or grandchildren's time. [music] When the United States is a service and information economy. When nearly all the manufacturing industries have slipped away to other countries. When awesome technological powers are in the hands of a very few and no one representing the public [music] interest can even grasp the issues. When the people have lost the ability to set their own agendas or knowledgeably [music] question those in authority. When clutching our crystals and nervously consulting our horoscopes, our [music] critical faculties in decline. Unable to distinguish between what feels good and what's true, [music] we slide almost without noticing back into superstition and darkness. The [music] dumbing down of America is most evident in the slow decay of substantive content and the enormously [music] influential media. The 30-second sound bites now down to 10 seconds or less. [music] lowest common denominator programming, credulous presentations on pseudocience and [music] superstition, but especially a kind of celebration of ignorance. Roll [music] that around for a while. Those were among his final published words. He died 10 months later. Here [music] we are 25 years later realizing just what he was trying to tell us back. >> We're very powerful. This country is very powerful. It's far more powerful than people understand. We have weaponry that nobody has any idea what it is. And it is the most powerful weapons in the world that we have. More powerful than anybody even not even close. >> Malaysian 370 contact 12 decimal 97. >> Breaking news tonight. A Malaysia Airlines flight with 239 people on board, including four Americans, has gone missing. Oh, [music] [music] [music] [music] [music] heat, heat. >> [music] >> I remembered the line from the Hindu scripture, [music] the Bhagavad Gita. Vishnu is trying to [music] persuade the prince that he should do his duty and [music] to impress him. Takes on his multi-armed form and says, [music] "Now I am become death, the destroyer of worlds." Welcome everybody to the live stream. So happy you guys are here with me on this Halloween Friday, guys. I'm not dressed up, but I do have my colors on. We got brown. We got orange going on. And just to make it up to you guys, I knew you would be upset that I'm not dressed up for Halloween, which totally understandable. I did dress up my dog. Yes, I did dress up my dog for Halloween. I am one of those people, chat. For about five seconds, I was able to get this costume onto Lulu. So, let's go ahead and simp over Lulu right now. So precious. Look at that pumpkin, chat. OMG, dog costume hype. This costume lasted all of about five minutes on Lulu until it got torn off to shreds. No, just kidding. Only part of it. So, we'll see. She may show up. She may do an appearance over here later on, guys, for Halloween. We'll see. I'm not going to try to pick her up because she does not like to be picked up. Guys, thank you for being here tonight. We have a great show. Great show for you tonight. We are going to be talking about mainly the I always say around Extropics new microchip which I have been scolded. Slap my hand everybody. The founders of Extropic came into my replies and I stupidly started arguing with them without realizing who they were. [laughter] That's true story, chat. True story. Deleted my deleted my reply so fast. Oh, I deleted that reply so fast chat. Um and they told me no. They said no, our microchip is not a quantum microchip. I was saying that it seems like they have invented a a room temperature quantum microchip. They said no, it's not. How dare you call it a quantum microchip. They said it's thermodynamic. So, we're going to be digging into that in a few minutes here. We're gonna take a look at there's several presentations including a new one that just came out that I haven't had opportunity to watch where they explain the physics behind their microchip. Now, I'll give you the spoiler right now. My impression of the microchip is that it's very similar to the concept of Paul Tibido's uh graphine thermmo dynamic graphine generator, which is like a free energy battery microchip. Similar. We're going to go over more of it later on, but that's the impression that I got from their design. I don't care what you call it as long as you can make me some super AI thinking machines. You call your thing whatever the hell you want to call it. Call it Swiss cheese. Call it a hot dog. Don't matter to me. Call it quantum. I just I just think like the Facebook movie, just drop the, you know, it's cleaner. Why not call it quantum? We call everything quantum. Anyway, I'm just a marketing guy. What do I know, chat? Okay, let's dig right into some of the politics so that we can get straight to the science tonight, guys. First thing that I want to point out right now from the the woke right have been melting down on social media because this guy named Josh Hammer who I didn't even really know find out later on he's the editor at Newsweek which if you're familiar with the history of MH370 you know that Newsweek had a debunk of the MH370 videos 2 days after they appeared on Reddit. it and it seems like it was it was a fake article. It was an article that was copied from somewhere else. So, I'm no fan of Newsweek, but there's some guy named Josh Hammer that apparently all the woke right people hate because he's Jewish and I don't know, that's probably enough, frankly. And he wrote an article uh about the Tucker Carlson Nick Fuentes discussion that I spoke about on the last live stream. And in that article, he made a metaphor about how Tucker is basically the fox in the hen house of the right-wingers and how we need to neutralize the fox. Okay. So, are are any of you outraged yet by this? It was a pretty mundane thing. People have been kind of going after Tucker, which I don't agree with. He should talk to whoever he wants, but they've been going after him. And so this was one of those arguments that was made which is that, you know, Tucker is they're saying that Tucker is like switching sides. They don't like him in the MAGA. And I generally agree. I think that Tucker has clearly had a perspective shift. He's done nothing but platform people that are hyper critical of Israel in the last six months to one year. So what happened? Next thing I know, you've got Dave Smith, the struggling comedian slashpropped up by Joe Rogan uh political debatem. You've got Candace Owens. And then who was I surprised to see Nick Fuentes as well, all three of them, including many others, push this lie that Josh Hammer was calling for Tucker Carlson to be killed by saying that that we should neutralize the fox in the hen house. You can't make up this level of hypocrisy, chat. You can't make this level of hypocrisy up. And it deserves to be called out, including Nick Fuentes. People said, "Ashton, weren't you super chatting Nick Fuentes?" "Yeah, so what? I told you guys he's not my friend. He never has been. I've never spoken to the guy." People need to get out out of this mindset that like you're either with somebody or against them. You can criticize people when they do stupid And when people, especially people that are hyper racist, openly anti-semitic, openly Nazi supporters, when those people try to feain outrage over mis over intentionally misconstring context in words, that deserves to be called out. that deserves to be called out because we've been giving Nick Fuentes a pretty heavy benefit of a doubt that he's just being edgy when he says some of the most vile things that are possible. So for him of all people for him of all people to then claim that Josh Hammer when he uses a metaphor of neutralizing the the fox in the hen house is to take that as a death threat is the absolute height of hypocrisy. It's the height of hypocrisy. So, this is the worst part. Candace Owens was the worst one. She was the worst one. They were all really bad because clearly Josh Hammer was not calling for the death of Tucker Carlson. Anybody that thinks that is just frankly dishonest. It's bad faith. It's dishonest. And I hate seeing bad faith arguments on the internet. But the reason why Candace Owens was the worst one was because the very next day, the very next day, [snorts] this guy made a post. I don't know if it was today or yesterday, he made a post saying that the feds just showed up to his door because of post that he made on social media. And Candace Owens quote tweeted it and said, "This is treason. It's treason that the feds showed up to this guy's house because of posts that he made on the internet. And she said, "In response to this, we need to get even more radical about our free speech." Those were direct quote. That's her direct words that she used. So what did people do? The people first thing people did was they looked up the guy's most recent replies. What do you think they found, chat? What do you think they found, chat? Oh, they found out the guy is a super hyper racist that's calling for the death of all Jews. That's what they found when they looked through his and they didn't have to go far back. It was literally just two days ago. Two days ago, he's making multiple posts about how all the Jews need to be eradicated and they all need to be killed. That's what Candace Owens was defending as free speech. One day, one day after she claimed that the FBI needs to investigate Josh Hammer for using the word neutralized. These are not serious people, chat. These are not serious people. And this is the reason why I disavowed them. I'm not going to ever try to defend these people and their insane, hypocritical beliefs. They have no principles whatsoever. They have absolutely no principles. are the worst, most disgusting people on the face of the earth. Candace Owens was quite literally defending somebody who wanted to eradicate all the Jews, claiming that he shouldn't have somebody check on him, which absolutely was the right thing to do. If you were going out there saying that people need to die, you have to kill everybody, we have to kill all the Jews, then the feds should be coming to your door to do a wellness check on you. And the worst part was that the guy doubled down on it. people started calling him out and his replies that I found because people were saying that the posts weren't real. They were saying they weren't real. So, I went and just looked and they were real. And he was saying, I'm going to directly quote it here. I'm going to pull it up because I don't want people to try to take this out of context. Here you guys go. I'm going to pull it up for you guys. [snorts] Here you go. Here's Candace's tweet saying that this is treason, blah blah blah. And here's the guy, right? Here's his post. We must eliminate all the Jews. It's our only solution at this point. We must protect and save Christianity. Their consequences are that the Jews will finally be eliminated in their place in the Middle East. You are going to get a knock on the door if you're making posts like this on the internet. And you should be. You should be put on a watch list for the rest of your life because this is what people post on the internet right before they go and shoot up churches and synagogues and what have you. Now, we're going to come back to that in a second, but I want to point out a literal terrorist attack was just thwarted today. Yes, there was a terrorist attack thwarted today by the FBI. If you believe the FBI, if you believe their evidence, uh they haven't shown much yet, but they claim that they arrested five people in Dearbornne, Michigan and Inkster, Michigan. And this is relevant because Dearbornne, Michigan has been in the news recently. It's been in the news recently because it is America's first majority Muslim population. Majority as in 53% of all residents in Dearbornne, Michigan are Muslim. They play Muslim prayer five times a day over the loudspeakers. It is a Muslim controlled city. And supposedly the people that were arrested were sympathizers of ISIS and they were planning to shoot up a synagogue or something like that. So the reason why it's important that these people are on watch list is that's how we catch people like this before they act, not after they act. So, it's extremely dangerous for Candace Owens to be defending stuff like this and then to be claiming as well that we need to get more radical, that this is not radical enough. This speech right here is not radical enough. We need to be more radical than this. I sure as hell hope not. I really sure as hell hope not because here was his follow-ups when he got challenged. He said, "I can't believe this needs to be said, but I have no actual means to eliminate all the Jews." Sure you do. You have guns. You have guns, right? I'm sure a person like this has many guns. They probably shouldn't be allowed to have guns, but they probably do. So, you absolutely have the means to eliminate a lot of Jews if you were to try. This is why you need to be on a watch list, sir. So, hopefully that's clear for people that are out there on why this behavior is completely unacceptable. So, the fact that those people were trying to get the FBI to investigate Josh Hammer for making a statement about using the word neutralized is the peak of hypocrisy. The point being this, the woke right people don't give one about freedom of speech. They just they use these things as weapons, these these ideas as weapons. These people don't care about freedom of speech. They just use the word freedom of speech so that they can attack you and claim uh they can virtue signal. They'll say I love freedom of speech. You have to believe because everybody agrees with freedom of speech. That's why they say it because it's popular. They just use populist statements. They don't actually believe it. They don't they don't support they're not against genocide. These people would commit genocide on the Jews if given any opportunity to do so. They would probably commit genocide on people like me and you as well who are not even Jewish. They don't hate genocide. They're just using genocide as a weapon to attack Israel. These people do not support freedom of speech. They just use the words freedom of speech to attack those people that that criticize them. Candace Owen says, "I have freedom of speech to call Bridgetette Mcronone a man." Well, you're getting sued over it. So, we're going to test that freedom of speech. So, it's very important to realize these woke right people have no principles whatsoever. And if you're one of the people that's been getting allured by them because they say stuff that you want to hear, well, you're being put into a cult. You're being brainwashed and put into a cult. Quite literally. Quite literally. Now, one last thing I want to say and that I don't want to stick on this too much is Candace Owens. People looked up how much money Candace This is the worst part is people are saying like, "Oh, you know, you're a grifter for talking about this or like that was some not many, but some people were claiming that I was a grifter for challenging Candace Owens on her Charlie Kirk, her fake Charlie Kirk claims." And somebody just brought it up in the chat. This is exactly what I was going to say. Candace Owens made $130,000 just from super chats in the last month alone. Let that sink in, guys. Let that sink in. It's publicly available information. Candace Owens made $130,000 from super chats in just the last month alone. I'll pull up the data for you guys here. Just a second. So, this is the part where the ir the irony of this is where are the Redditors who were attacking me? Remember the Redditors that were attacking me, guys, to claim that uh I was ma that I was griing that I was making this huge amount of money from my YouTube off of lies. Why are the Redditors not attacking? Why is there not Why are there not subreddits dedicated to proving the Charlie Kirk conspiracy to be a hoax like there are with MH370? There's literally a subreddit dedicated to proving MH370 videos are a hoax called Airliner Abduction 2014. There's no subreddits dedicated to proving Candace Owens is a liar. There's no subreddits dedicated to proving that the Charlie Kirk situation wasn't a vast Israel conspiracy whatsoever. And here you go. Here's Candace Owens. Here's the numbers. Whoops. I think I almost just showed my DMs there. Here's the numbers. $128,000 from super chats alone. $128,000 from super chats alone. Now, why do you care? Good question. Why do we care? The reason why >> is because people are out here trying to say that she's doing this because she's the friend of Charlie Kirk. She's doing this because she's trying to get to the truth. No, she's not. No, she's not. She's making millions of dollars, millions of dollars off promoting a knowable lie. A knowable lie. And there's a lot of rubes that will believe it. And a lot of Rubes will throw money at you as long as you tell them that Israel is bad. That's the reality, guys. Okay, next thing. Now, back on to science. We're moving on. Okay. And by the way, you're now in timeout. If you complain or whatever about the live stream, then you're just going to get banned, so don't bother, right? If you don't want to watch, don't watch. Appreciate it, though. Okay. So, the next thing though is Donald Trump made this post about nuclear weapons being restarted. So, the video that I showed at the beginning that I've been showing at a lot of my streams, um, is Donald Trump saying that we have weapons that nobody understands. Nobody understands. And let me Oh, whoops. I had it up already. Here we go. This was pretty amazing. This is last night. This is pretty late last night, I think. Right. Uh, no. Okay. I saw it last night. Said Chris Wright. Chris Wright is the the secretary of energy. Chris Wright, a former Lawrence Berkeley National Lab Scientist, won the Nobel Prize in physics for work with quantum physics. I'm pretty sure they're talking about macroscopic quantum tunneling there, but I didn't didn't double check. Okay. And Mike, you just got banned and put in timeout. Guys, I'm I'm recording a live stream right here, so you know, if you troll in the live stream chat, I'm just going to ban you, and you're never going to be able to comment or post in the replies. I see people crying about how they want me to unban them. You're not going to get unbanned. So, think very carefully about what you say in the chat. Think very carefully about what you say in your comments because I am pretty quick to just remove your comments and remove you from ever being able to post to my channel ever again. I do it very often. So, that is the one and only warning that you will get guys. Okay. Uh is it is talking Okay, 100% he is talking about macroscopic quantum tunneling. Thank you trooper bra. I appreciate you. Um so he is talking about max quantity and he says quantum computing along with AI and fusion are the three signature Trump science efforts. Trump 47 racks up his first Nobel prize. Wow. Wow. That is crazy to me. Now I've said this multiple times, guys, but I am extremely happy with this administration. And I would be a hypocrite if I did not admit that they are on target with all of this. AI and fusion of and quantum computing is connected to AI, but these are the technologies that we need to be investing in and the United States needs to win the fusion race and we need to win the AI race against China. I'm not confident that we're winning either of them. We're probably ahead, but this is where we need to put be putting all of our resources in. So when I see this, nothing could make me happier than this. I think that normies don't even realize how big this is. Now, I want to talk about the MH370 situation just for a quick moment. First of all, if anything were to happen to me, because obviously people are getting assassinated, blah blah blah, Israel is not at fault. If anything happens to me, number one, it's not Israel. And you may say, Ashton, how do you know it's not Israel? I'm telling you right now, even if it is Israel, I don't care. It's not Israel. Okay. Uh, number two, the only thing I want people to know about if anything were to happen to me is I just want them to know MH370 videos are real and then you should give me my posthumis uh whatever uh polit prize. That's all I care about. The rest will naturally come out over time, right? So, don't worry about trying to carry on my legacy or anything like that. We're already in the middle of disclosure. I'm realizing the science and stuff is already coming out. So, for us to even be trying to do our own thing doesn't even make that much sense because it's already happening. And we're going to review a microchip in a few minutes here that might be already tapping into some of those elements. Um, what was the last thing I was going to say? Oh, and then with respect to the videos themselves, the thing I don't care Yeah. At this point, the only reason why I was even trying to get popular, uh, trying, not even really, I don't know how you phrase it, trying to get popular, trying to get famous, whatever you want to say. The only reason why I was doing that was because I wanted to be safe. I wanted to be safe. I wanted my profile to be high enough that if something happened to me, it would be really suspicious. Now, I don't even care about that. First of all, I've already achieved that. I've already achieved that. I'm already famous enough. I've been on enough big podcasts. By the way, it is kind of weird that uh I happen to overlap on podcast with a lot of like super far right-wing racists and anti-semmites, but whatever. It is what it is. [laughter] I I didn't turn down any any uh any platforms. So, uh but the thing is I don't care about trying to convince people. I never tried to. If you if you know a conspiracy is real, if you know, not even conspiracy, if you know anything is real in this world, you don't care to try to convince people, right? The people that hate Israel are desperately trying to convince everybody else that they should hate Israel, too. Desperately trying to convince them. I don't care about trying to convince people the MH370 videos are real. You'll see me spending almost no time trying to convince people. If you saw me in the real world, I never try to convince people that the videos are real. Never. Not in the last two years. Nobody. Nobody. Because what would it even matter? Why would I even care? Why do I care if somebody else believes a video is real? I'm just doing you a favor being like, "Hey man, we got some crazy advanced technology. You might want to look into it." If their response is, "No, I'm not interested." Then fine. I can't force you to believe. I can't force you to understand science. I'm just here to appeal to people that want to understand, that want to understand the physics, that want to understand the science, that want to understand fusion propulsion. And if you believe that I'm not a grifter, then the information that you're going to get is at least partially beneficial to, you know, what's going to happen in the future. And that's what I do what I do. That's the difference between me and a lot of the other people that are like ideologically captured or you'll see people post on Twitter where they they stay in a very specific lane that they they're meant to be in. So, I just wanted to point out that that's what's going on that we're already in the middle of all this technology coming out. You're seeing fusion technology coming out. you're seeing microchip technology uh advance to the point of possibly room temperature superconductivity microchips and there's nothing that's all we're doing is speeding that along speeding that along the only thing that won't be sped on the only thing that won't be revealed over the course of time is what we did to MH370 and eventually it'll be believed but it may take a thousand years may take a hundred years I don't know so that's why that's the one thing that I would want people to know. Okay. Now, because people were whining and bitching about Israel, I'm going to force you guys to watch another clip. I'm going to force you guys to watch another clip right now. So, this is what happens when you whine and you guys. I told you I'm a petty person. I'm a very petty person. And when people whine about my content, then I'm going to sit and force you, just like the substitute teacher, to watch a video. Now, this one is really important because the people out there that want you to believe there's some Israel consp that Jews control the the world and and they're ruining your life and what have you. Let's just listen to Tucker Carlson himself explain why that world view is so distasteful. Here you go. Here's Tucker himself. This is crazy. Young Tucker. I would love to see a debate between young Tucker and old Tucker. Here we go. >> I mean, this is part of the sad thing about Happy Canada as far as I'm concerned. And just to restate, I mean, Pat does raise issues that I think um are important. I mean, I think that, you know, the sovereignty of the American military, etc. I mean, these are not just crank issues. Um, but unfortunately, Pat Buchanan raises them in a way that I think is discredited. And when attacked, he can always fall back on the line, well, the, you know, the tiny cabal that controls American politics doesn't like me because I speak truth to power. This is actually, incidentally, almost verbatim what he said the other day, that I offend the putoaucracy. Um, that I'm a wanted man by the inside the beltway people and in and in every sense cast himself as a as a victim who is sort of a Karen Silkwood of politics. someone who's uh so truthful that he's being hunted down by the uh by the conspiracy that runs Washington. I mean, it's all a bit much. Maybe Pyan just says things that are kind of kooky and that's why he's being criticized. It's how funny is that? I don't even think we need to go on beyond that, but that is just the nail on the head, right? It's the nail on the head. It's that what do these woke right people do? He's just explaining woke rightness in 2025. You could literally just replace Pat Buchanan with Major Taylor Green or uh or Massie or even Rand Paul or sometimes even Tucker himself. They all now claim that these nefarious forces are censoring them. These nefarious forces are lowering their reach. The the Israel bots are attacking them. None of these things are true. None of these things are real. These are all just imaginary things that they use to increase their funding, to increase the donations they get for their super PACs. In fact, you will literally see them quite literally. MGT was just doing this the other day. So was uh Massie as well. They were just claiming that they're they're speaking truth to power and and they're being attacked because of it. So you need to please go ahead and click on this donation link and send me uh $50 so that I can get reelected. But do you want to know the real reason why they're doing that? It's not because they're victims. It's not because there's some secret cabal taking them down. It's because they're about to get primared by their own parties. [laughter] Their own party. The Republican party hates them because they never vote with Republicans. Because they talk about the president. Because they literally support leftist policies. That's why they're being criticized. That's why they're being cancelled. That's why they're being primared. It has nothing to do with a secret Jewish cabal of people that is controlling the scenes as unleashing bots on them. None of that shit's real. None of that's real, man. I know who these uh Jewish influencers are because now they all follow me over the last month. So, I've been seeing their posts all the time. And yes, they are clearly biased towards Israel. But it's not a secret cabal that's taking these people down. They just don't like their opinions. They just don't like their opinions. I'm gonna let Tucker talk for like another minute just so it sticks with you guys. Here we >> valid to to question America's relationship with Israel. Israel has a lobby. It's perfectly fair as far as I'm concerned to beat up on Israel's lobby. Um but that's I don't think that's the reason that Buchanan is being labeled an anti-semite. It's this kind of as I've said this this relentless um this relentless bringing up topics related to uh Judaism. I mean famously Pat, you know, always beats up on Goldman Sachs but never Morgan Stanley. I mean, it's it's really hard to there is no point at which >> I began held a press conference and said, you know, I really don't like the Jews. I think they're a sinister force in America, but I think um and it took me years to come to this uh to this position. I mean, I'm not throwing the term anti-semite around. Um but you you reach a point when you say, well, gee, you know, here's a guy who has gone out of his way to to defend Kimuk and other accused um Nazi war criminals who's constantly attacked Israel. >> Do any of these people have principles? He might as well be talking to himself right here. He's like all he does. It's like I'm not saying Pat Buchanan is an anti-semite. I'm just saying he's obsessed with Israel and he turns every topic into Israel and he just platforms people that hate Israel all the time. [laughter] I can we get bow tie Tucker Carlson back, guys? Can we get this Tucker Carlson back? because I don't know what the current one's doing, but like bow tie Tucker Carlson's quite literally describing current Tucker Carlson, >> who's attacked uh American Jews for supporting Israel unduly, who's implied that American Jews push America into wars in which non-Jews die. There really is um and again I'm not hysterical on this subject, but I I I do believe uh that there is a pattern um with Pat Buchanan of needling the Jews. Is that anti-semitic? Yeah. I mean after a while you conclude it is in some sense anti-semitic. I mean Pat Buchanan obviously has a lot of personal and affectionate relationships with people who are Jewish. Um >> okay that's enough Tucker. It is it is anti-semitic chat. That's not me saying that. That's Tuckerlson saying that guys. That's Tuckerlson saying that. He's the one that's saying that it's anti-semitic to be constantly needling the Jewish situation. That's just that's you guys heard it from him. This is going to be one of my favorite video clips. I'm going to save this clip because I guarantee you it's going to get a lot of play. My favorite clips are when people literally criticize themselves and their own hypocrisy and they do complete 180s. That's my that's my absolute favorite. Especially when they go into that level of detail about explaining exactly the actions and behaviors that they themselves have been taking. Oh, it's too funny, guys. Um crap. That just reminded me of something else, but I just forgot what it was going to be. Okay. Okay. I think we're ready. Oh. Um. Oh, yeah. The last thing is this, then we're gonna jump into it. And of course, no, people change. But this is I saw that people were like, "Hey, people change, Ashton." Yeah. Okay. So, tell me what he was wrong about in that clip. [laughter] Nothing Tucker Carlson said in that clip was wrong. Everything he said in that clip was correct. Nothing has changed. This is what the best part. People like people change. Okay. Yeah, that's the point. Tucker changed and became an anti-semite. [laughter] That's the whole point. He changed and became an anti-semite. I would love to hear current Tucker's arguments against Young Tucker. Where did y Where was Young Tucker wrong? Name one thing that he was wrong about in that clip. Everything he said in that clip was accurate. This people like, "Oh, he changed." Yeah, he became an anti-semite. Just like Young Tucker was saying, he became the thing that he hates. One last thing I forgot to mention is I also saw a clip of Nick Fuentes uh from his live stream. I don't really watch his live streams or anything like that, guys. I I'll be honest. Um but I see the clips all over. And one of the things he said was that he praised he was just gushing over Tucker Carlson which I just couldn't believe because like he was attacking Tucker. Tucker was Carlson weird little gay kid just a couple months ago and now Nick Fuentes is just gushing over how great Tucker Carlson is. He loves him so much. Why? Because he platformed him. Now Nick finally got a real friend. Chat Nick Fuentes finally got a real friend. And the moment he got a real friend, now he's he's he's locked at the hip with him. Now, I actually think that Nick Fentes was just a loner loser who just wanted a friend all along and now finally he got his Tucker Carlson friend and now he's now they're super happy and now they're buddy buddy and what have you. I just found it so pathetic. So pathetic. Especially for someone like Nick who tries to claim that he's this hard white kid when you know, of course he's not, but for him to be sucking up to Tucker Carlson like this afterwards just I lost a lot of respect for him from doing that. And uh it's just pathetic, too. It's pathetic. It's pathetic in the way where clearly Nick just wants to be validated. Like he really really wants to be validated. He wants the political right to respect him and for them to accept him. And the the truth is this guys, they're never going to accept him. He's he that's that ship is already sailed, bro. He's saying that, "Oh, Nick is going out here going, I'll unite with anybody on the right who will unite with me." Okay. Okay. Nick Fentez, I tell you what, you should do a followup stream and list off all the names of the people that offer to unite with you. [laughter] That's zero. Nobody. Nobody's going to offer to unite with Nick Fuentes. Nobody is. And the reason for that is politics is all about smearing people. And Nick Fuentes has about a thousand clips of him being super racist, super vile, super misogynistic, and in some cases even pedophilic. So the moment that Nick Fuentes begins to run for politics, everybody's going to turn on him. You think you can like, does Nick Fentes think he's going to be a congressman or something like that? the moment that he puts his name on the ballot box, all the leftists aren't going to vote for him, and most of the right-wingers aren't going to vote for him either. Here's the spoiler, guys. The internet is not real life. Just because you have a dedicated following of nut job losers on the internet, that does not equate to real life. Not even in the slightest. So, I actually hope that Nick does run for office. That's clearly what he wants to do. And I hope that he does it for two reasons. One, it'll be a major major wakeup call for him and his followers to realize how little support in the real world he actually has. And number two, he will realize that politics is not an idealistic ideological game. Politics isn't about it. Like I would say, give Nick the power. Give Nick Fuentes the power because the first thing he's gonna realize is he can't accomplish anything. Government is made to not accomplish anything. That's the point of it. This is the reason why nothing ever happens because the government is built in a way so that nothing can happen. That change is difficult. And everybody who's an ideological child, they always think that if they get power, they're going to be the one to cleaning up everything. They're going to be the one to deport all the Jews and make the world a better place. But that's not how the government works. That's not how politics works either. And when Nick Fuentes is forced to accept that realization, it will change him. He will change from somebody who's an ideological child to being a pragmatic adult. That's my last thought on that guys. Okay. Hey, if you made it through the last 35 minutes, then now we are going to take a look at the science, guys. So, if you are unfamiliar, um there is this new microchip that has been making it's been making some rounds. I don't really know if it's all hype or if it's legit or what the deal is, guys. Um but they had this these a couple videos they were hyping themselves up here in the last few days. It got a lot of views, I think. Um, yeah, like a million or so. Let's take a look. Let me Hold on. Let's watch this uh promo intro. It's Tropic AI chat. Oo, look at that. Look at that. Sweet. Okay, I took some notes, guys. I took some notes. We're going to watch at least one video and then maybe part of another. Uh where wait, where's the ones that I want? Not that one. This is the new one they just posted. We're not going to have time to dig into probably all that tonight. Let's start with this one. Okay. So, let's get a little Let's do this. We're going to do an intro. This is five minute video. I don't think they're going to copyright strike me for playing this. I'm going to play this. I'm going to give you guys my thoughts and then we're going to go to the longer explanation video about what is this microchip. So this new microchip comes out. They claim it's going to revolutionize AI or potentially has the potential to revolutionize AI. The question is why? How? How does it work? Is it significant? Is it real? That's what we're really trying to figure out here. We're trying to figure out what are the future technologies that are going to become the multi-billion dollar companies so that we can get it on the ground floor and ourselves become wealthy. I mean, that's what we all want, right? We're all just trying to get rich out here. So, yeah. So, let's see. Wait, I have the sound on, right? Yeah. Okay. >> Is eating the world. Companies and nations alike are in a race to scale the production of intelligence. The plan so far has been simple. Scale the same old computing paradigm by feeding it more data and more power. A lot more power. Data center providers are going as far as building their own nuclear power plants, looking to achieve an energy supply that is poised to dwarf the current US energy grid several times over. But simply pouring more [music] power into the current comput stack will be far too slow and too costly to produce human level intelligence and distribute it to the world. But scaling energy is only half the equation. The other part is about how efficiently we can turn that energy into intelligence. What if instead of simply scaling power production, we increased how many thoughts we can generate for a watt. What if we reimagined the density of intelligence we can achieve in matter? We'd need to fundamentally rethink the hardware layer from the bottom up. Luckily, nature has already shown us that a far greater energy efficiency is possible. We can take inspiration from its underlying physical. By the way, this is qu This is like literally the guy that was in my replies. I guess he says he's the founder and I think the account I was talking to was the founder. So, this might literally be the guy in my replies. Just there we go. Face to the name principles and harness them directly in hardware. That's why at extropic we're building a new kind of [music] device, a probabilistic computer for a new era of computation along with new algorithms that can be run on them. Extropics computers feature new types of computational primitive that sample from simple probability distributions. And it turns out if you combine many of these sampling circuits together using some concepts from machine learning, you can actually build a system that does kind of the same fundamental task as something like Chachi BT or mid journey. At the core of our devices lie new computational building blocks which sample from simple probability distributions. One of our core primitives is called the probabilistic bit or pit. Instead of simply being a zero or a one, a pit can be tuned to flicker in between, spending time in each state according to a programmable probability. When you connect millions of these pits together, immense computational power can emerge. We call these new types of processors [music] thermodynamic sampling units or TSUs. Chad, I got to just say it right now. I got to stop us and say it right now. Yeah, that is bass Jeff Bezos. It just sounds like a quantum computer with extra steps. >> [laughter] >> I gotta say, sounds like a quantum computer with extra steps. Just saying. I got to throw my Rick and Morty quote out there. Yeah. Is it like when it's not a cubit, it's a pbit. It's totally different, chat. It's not a cubit, it's a pbit. Totally different. How dare you call it a quantum computer? This is where like I actually think they're being a little bit like I when I I I went kind of back and forth with this guy on on Twitter and I don't want to be rude or what have you and I honestly do not care what it's called. it just doesn't matter to me. But I got the impression, the feeling that this was some kind of personal dispute. Like both the guys that started this company come from quantum computing and they didn't like quantum computing and so they did this thermodynamic computing thing and it feels like it's kind of like hurt feelings. I'm like, "No, how dare you call us? We're not the same as those quantum computer people, which is like, okay, I I get it. I get it. If that's the reason, just say it. Just say you don't like the quantum computer people and you had to come up with a new name. That's fine. >> And today we're unveiling our first step towards scalable TSUs with X0ero. Our first proto. >> Exactly. The math is the math is literally exactly the same, but it's totally different. Now, in fairness, guys, in fairness, it is different. There is some differences to this, of course, right? But the underlying ideas are really the same as any quantum computer, quantum uh processor chip. It's how they do the processing that's different, which we'll get to here in a second, guys. And and there is significant differences. It is very much like comparing like a casmmere cavity microchip to like Paul Tibido's graphine microchip. Of course, they're different. Of course, they're not exactly the same, but that doesn't mean they don't have similar, you know, uh, underlying similarities to them type silicon chip. Our X-Zero prototype is a simple device comprised of dozens of probabistic circuits, demonstrates a set of novel primitives, and proves that these primitives can be reliably built and controlled in silicon and at room temperature. For the first time, we're making TSUs available to early users with our testing and prototyping kit called the XTR0. Be uh one sec. Sorry to keep interrupting, but did you just hear him say these processes are available at room temperature? That's what this is all about, right? Is that the problem with our quantum cubits is that they need to be frozen because superc conductivity, coherence, we only see these things at low temperatures. So the energy requirement to keep things superconductive is very high is very high. So this is the big benefit and this is where I got super excited because clearly what they've done is they found a new way to do quantum processing without while it being at room temperatures while being at high temperatures. Now if you say okay well that's not quantum computing anymore. It's something different. Okay great I don't care dude it's doing the same thing. It's still doing computing. You're doing it through a different mechanism, but it's, you know, the same underlying idea using a different framework. Okay. Gotcha. I still think it's dope. I still think it's amazing. And the moment that you tell me that you're doing the same thing that we were doing at low temperatures, at room temperature, I'm really, really excited. >> [music] >> This desktop device hosts two X0ero chips, letting researchers explore hybrid algorithms that combine traditional processors with thermodynamic sampling units. XTR0 will be available to select early access partnering organizations this fall. Alongside XTR0, we're open sourcing thermal, a Python library for simulating TSUs on GPUs. Thermal allows developers to start building algorithms today that will run efficient. >> We're going to skip through this part. This I talk about the algorithms blah blah blah. Today we released our first paper where we talk about denoising thermodynamic models which are a new type of machine learning model that we developed here at extropic to leverage our thermodynamic sampling units most efficiently. In the research presented in the paper we find by simulating a small piece of a Z1TSU that we can solve simple generative modeling benchmarks using around 10,000 times less energy than the most efficient algorithm running on a GPU. Atropic we're charting a new path forward for artificial intelligence. In just a few short years, we've moved from concept to rooms scale cryogenic experiments to a desktop prototype that runs at room temperature. We've designed and built new probabilistic primitives that form the foundation for a whole new era of computing. We believe that thermodynamic computing will fundamentally redefine how we convert energy into intelligence. If you want to help us pioneer this paradigm, join us. The journey will be long, but the payoff for densifying intelligence will be immense. Nexttropic, building the ultimate substrate for intelligence. >> Very interesting stuff there, guys. Very interesting. So, [clears throat] right off the bat, what have we learned? That was just that wasn't even the science side of it. We got a whole another video we're going to dig into. It's like 15 minutes long that goes through the science. But this is what I've learned here from this. First of all, I'm I'm I'm sk I'm hesitant, not skeptical. I think it's going to work. I'm hesitant. I'm hesitant because there's no sure things in this world, but this gets me really excited. Um, one thing I'm not excited about is the design. The design seems kind of ugly. And yes, it's got weird stuff going on and weird hieroglyphics on the side of it, which are clearly just cosmetic. So, I don't know. Do whatever you want to do. I don't really care about that. Somebody asked in the chat um about Joseph's injunctions. The next video we're going to watch it, they literally have Joseph's injunctions on the microchip. So, this is another thing where I'm going, wait, you're saying it's not a quantum computer, but you've got Joseph's injunctions built into your microprocessors. And so what I think this chip is, if I explain it at my current level of understanding, is that in quantum in a standard quantum computer, they're controlling the ones and the zeros, right? We're flipping around the ones and the zeros in our quantum computer. And we can potentially have more than one state or we can have more than two different states. That's my understanding. And the idea is that the problem is that it requires a huge amount of energy. One, we actually have to manipulate the energy levels manually of our quantum states. So that causes that causes energy to be used. And then number two, we have to cool our entire system. So that also causes energy to be used. So these are the two major factors on why a current quantum computer uses up a lot of energy. But now it has 10 states. Thank you. I didn't know how many states they have. So 10 states. So sure the difference between what this microchip is doing, this microchip is not basically increasing or decreasing the energy levels. What it's doing instead is it's measuring the random fluctuations, random thermal fluctuations. So remember our zero point energy, the zero point energy, it's all around us all the time. Well, it's kind of vibrated. There's a little bit of like um some waves in the ocean, but really shallow waves, right? But if we were to zoom in on that, zoom in down to those waves, we would see this this moving around. Now, this, I believe, is the brownie in motion. Uh, thermal brownie in motion is how it was described in Paul Tibido's um microchip where he says, "We're harnessing this this random thermal motion. We're harnessing that." In this case, what these guys are doing is they are shaping it. They're shaping it. So they shape that motion and they can use that random motion to do computing. And so what does this do? This does this basically says this reduces those energy requirements. So now instead of inputting some energy to make our make our uh cubit you know go to one or zero or 10 or whatever we don't need to do that anymore. We just harness the random natural fluctuations that are existing out there and we can do computing based on that. Wow. If that's true, that's really, really huge. So, some of the things you're going to hear these guys explain, we're going to go right into the next video. So, we've gone from cubits to what do they call it? Pbits is what they're calling it. They're claiming it's a different thing. So, it is it is kind of like Yeah, it's a different engine, right? It's a different it's not the same as a a standard quantum computer because now we're going about this completely differently, right? Instead of creating our quantum flux, we're just measuring the existing quantum flux. That's how I look at it. The part where I disagree I this is definitely a quantum computer, right? Like the difference is that I think that from classical physics we can explain brownie in motion. The question is why do we have this brownie in motion and is there a connection to the zero point energy? Even in Paul Tibido's presentation with Charles Chase, one of the questions he gets afterwards is, "Do you think there's a connection to the from the thermal energy to the zero point energy?" And I would say yes. I would personally say yes. But that's where I am. And I don't feel the need to argue with people about this because it's more of a conceptual view of the world. As long as your microchip works, I don't really give a crap what you call it or how you claim that it it functions. As long as it works, it works, man. So the problems that they bring up first of all they did not like the quantum experience. They also talk about the noise is a problem. Now the noise in this case is the quantum noise. So I think what they're talking about here is the difficulty it is to take a measurement. The thing about quantum systems is that if you try to measure them they fall apart. So it seems like they found an indirect way to measure this thermal flux which reduces the noise. And the noise is something that's talked about a lot. Even John Kramer brought up the quantum noise when it came to quantum communication systems and quantum computers. He says that the noise, you have to reduce the noise to find the one photon that's entangled. You might have a hundred photons that are not entangled and one photon that is entangled. How do you sift through the noise to find the entanglement? This is almost like a way around that where they're saying, you know what, we're not even going to look for that. We're just going to measure everything naturally and then we're just going to see where it goes. So, it's a different approach. And the problem they're trying to solve is the energy scaling problem. The energy scaling problem is as we make the microchips more and more advanced, oh, I should put the the chat on the stage here. Sorry, guys. As we make the microchips more and more advanced, they're going to require more and more energy. And as we make more and more data centers, we require this huge amount of energy. One way to solve that is to make fusion power where we have unlimited energy. Another way to solve that is to reduce the energy requirement of the microchips themselves and of the computers themselves. Which of these options is better? I don't necessarily know. I would say that both options. We should be going down both roads. We should be both increasing our output of energy and reducing uh the amount of energy that we use. Both are great ideas. And so I that's why another reason why I'm all in kind I don't say I'm all in, but I'm so far I'm pretty high on this company. Um, so they're approaching the problem from the efficiency standpoint instead of approaching it from the standpoint of just producing more and more power. That sounds great. Um, okay. I think we're going to just jump into it here. I'm just looking to see if there's anything else I wanted to say on this. That's good. Okay, here we go. Where is the full longer video? Oh, I think I was on it. Okay, so this next video is of uh the founder engineer. I think that same guy based Jeff Bezos. What's funny is I've actually been following these guys. I was kind of watching these guys work for a while. Here it is. I was watching these guys work for a while. I didn't know who they were and now I'm seeing their stuff and I'm pretty interested in it. Did somebody say something about Did Does anyone have one of these things? By the way, here's my big question that maybe we can figure out while we watch this video is what does it do? Can does this going to require my understanding is this going to require people to move to new hardware, which is kind of a taboo thing. You generally don't want to say, "Hey everybody, we built this new thing. It just doesn't work with any of your old hardware. You need to switch to a whole new whole new hardware and potentially new software as well." If that's the case, I'm not as high on it. One of interoperability and integration with existing systems is really important. So this is the part where I just don't know enough about software and I'm not pretending to be an expert on quantum computers or anything like that even though I I talk about quantum physics a lot. So what I would want to know is really what is the practicality of building data centers that are using these and what do we need to do to have software that can use these and run real programs off these processors. Okay, so here's another video. What speed are we at here? This one's more science. Skip ahead a little bit. So I mean this some of you may may have seen some part of this talk but uh the last part is is newer. So you know as we know general AI is eating the world parameter models. >> I should skip ahead just a few more minutes here because he already spoke about the things that I just mentioned and they're only using like 20 watts. Uh and you compare that to GPUs are about 100 million times denser and more 100 mill. Oh, and this is another thing I thought was really interesting here is that what he's mentioning here is that how their approach their approach was to say let's look at the human brain. Let's assume the human brain is a quantum computer. How is the human brain using such a small amount of energy? This is this is something I've even wondered about. People have asked me this on spaces and things like that. We should be looking at nature if we want to know, hey, how do we reduce the energy requirement on our computers? Well, there's a computer right here in everybody's head. And the amount of energy that our bodies are using is extremely low. We are low entropy biological beings. We use an extremely small amount of energy to do what we would say is a straight up magical amount of computation. the amount of information that you are feeding through her constantly is huge. So this was their basis for figuring out how do we lower the energy requirement and I love this I love it >> times more energy efficient um and so you know the idea was you know if we engineered a computational system from first principles for AI uh inspired from biology how do we take inspiration for biology you don't try to mimic biology directly you don't try to do biomimicry you wouldn't build a plane that flaps it swings you'd understand the principles that biology has learned to to uh to harness and um essentially you you'd harness uh those principles directly with an artificially engineered device. And so that's what we're doing with sort of a a type of physics called stoastic thermodynamics. So this isn't like like your great-grandfather's thermodynamics. It's it's really it's a really recent theory. You know, the core theorems are like 1999. Uh it's as old as Google. When math is as old as Google, you know, it's really young. Uh and that's why people don't really know about this type of physics and this type of math. And that's why it gets out on >> So, you know what's also weird about this guys is he says stochastic thermodynamics here. Is this connected to stochastic electronamics? Because supposedly here's how this goes. And I'm I'm let's say fairly confident in this assessment. Remember when I spoke to Oh god, I forgot his name now. Oh boy, this is going to be awkward. Uh remember when I did the TR3B stream? Um Jared Yates. I spoke to Jared Yates and I think it was him, maybe it was somebody else, but uh it might have been the other guy, Douglas Miller. I can't remember who it was. Anyway, stochastic electronamics was basically a different branch. Instead of quantum electronamics, we go down this stochastic electronamics. Yes, there it is. Thank you. Thank you, Jason. Jason, stochastic electronamics is just quantum electronamics plus the ether. That's a simple way to think about it. So when he starts bringing up stochastic electronamics here, this is when I got really interested as well because I'm sitting here going, I think these guys are just measuring the ether. I think this microchip is just measuring the ether and running computer off of it. And if you were to ask me this, the funny part about this is like there's an analogy here to nuclear power. When people think of nuclear power, they think of, oh, we're splitting the atom and then we're harnessing that energy and then we're putting that energy on the grid. But that's not what we're doing in nuclear power. Nuclear power, we're just boiling water, making steam, and spinning a turbine. In my head, when I think of quantum computers, I think of these computers that are harnessing the ether. But that's not what's really happening in quantum computers. In quantum computers, we're like stimulating these cu these entangled cubits and and we're measuring them. When I think of quantum computers, what I really think of is what these guys are doing. These guys are doing the thing that I would think of as quantum computing, which is like just measuring the random fluctuations in the ether. That's what I would think of as quantum computing. Measuring the ether. Chad, guys, we are out here. We're just This is You know what? We're just coming up. These guys just hire me to be their marketing guy. I'll just come up with dope ass phrases. We should just these things these guys should be saying that they're measuring the ether. That is like a good way to put it. In fact, I just came up with another one as well. You know what we're going to call? What are we going to call the Oh, all the Venezuelan narotists that we're blowing up. I I just came up the perfect terminology. Legal intervention. That's what it is, chat. We're doing legal intervention. The air quotes, if you can see them, are just for comedic effect. There we go. Okay, so let's get back at this now that we're measuring the ether. Here we go. Oh, wait. 50,000 and you can invest. You have to have a special trading license. Oh, chat. I'm probably going to invest in this company, chat. I probably am. I got 50 G's to invest. I probably shouldn't be saying that on live streams, but it is what it is. Chat, don't hold me hostage. If anyone tries to hold Lulu hostage for $50,000, I will send the FBI after you. Don't do it, chat. >> Twitter about it. Uh because I want to kind of spread the message. But really, you know, at the large scale things are classical, they're deterministic. You have, you know, Newtonian physics, you have like ballistics. Uh or in the in in the cases you have very strong signals, your computer is in a deterministic state. If [snorts] you go to very low power and very low temperatures or very small time scales, things are quantum. They're in superp positions. Uh you know, there's sort of uh quantum interference happening. uh and you can make all sorts of analog quantum experiments or you could build a quantum computer out of that type of physics. But if you have a messoscale computer, so or a messcale system, basically it's jittering, right? So it's it's more like chemistry or molecular dynamics or the physics of gases slloshing around and and it's essentially stocastic. So there's some randomness to the dynamics and there's some randomness to the state at all times. And so basically there's an opportunity to build a computer that operates in this mess scale, right? um a computer that has a probabistic state um that has programmable probabistic transitions and that uses stoastic thermodynamics and that's what we're that's what we're pioneering and we think it's the future of silicon and we also think it's the future of AI hardware from first principles and why is that we think we think deep learning is going to struggle to capture the complexity of nature uh a single forward pass is to get deeper and deeper in order to have enough computational complexity to to replicate um uh you know the the distribution of the data set and the distribution of the data um sorry uh the distribution of the data set you know has a lot of compute from nature in order to generate it and if you have to capture everything in one forward pass you need to make your model bigger and bigger and then you're going to have more parameters and then since you have more parameters you need to kill their entropy their entropy and you need more data and so instead if we basically uh use use um use sampling right use like test time compute scaling right as we're familiar then you can have a higher complexity sort of transformation from your input to your output and you can capture higher complexity and data and deeper into the tales of the distribution. Um the problem is um you know Monte Carlo sampling so to do MCTS and so on any kind of Monte Carlo algorithm kind of sucks on a classical computer. You need a pseudo random number generator. You have this sort of sequential walk. >> Okay, I like everything he's talking about here. He's talking about okay everything is so straightforward. We're trying to like you know input this energy here trying to measure it back out. He says the word first principles. Guys, when you want to sound smart, use the word, just use the phrase first principles as often as possible. Just say, "I figured this out from first principles, blah, blah, blah." And then you're going to sound smart as Most people have no idea what it means. Basically just means they're using standard physics. We're basically going back to the framework of physics to solve a problem pretty much. So what he's about to explain here though is that Monte Carlo is a system we use to derive randomness. So, if you've ever done any kind of gambling, let's I hate even using this as an example, but if you do gambling online, well, how do you determine what what you get back in response? It's a Monte Carlo system that uses a false random generator, right? And what he's going to say here is it's extremely inefficient. Yes, RNG. RNG. Thank you very much. RNG, random number generator. If you don't know what RNG stands for, get it into your lexicon. And what he's saying is the old systems do RNG very slowly. They do it very slowly and inefficiently. And he's saying if we just measure the ether, we measure these thermal fluctuations, then we can get better randomness than the Monte Carlo simulation would get much more efficiently as well. >> They really suck. And then you got to make sure this chain equilibriates to something called detailed balance where you know the ratios are right and then you get um basically a boltman distribution and that's really slow. uh you can try to paralyze it but there's a limit right so basically to run these algorithms and make them competitive in the algorithmic landscape you need a new type of computer and that's essentially what we're building right so our mission is to build the densest substrate for AI um [clears throat] and so you know our mission is you know with the the philosophy stuff I talk about increasing the wattage of civilization with EA and then with extropic we're trying to gain more intelligence per watt and then put together we have more intelligence for civilization we're scaling uh essentially the scope and scale of intelligence in our universe. And so, uh, you know, Trevor and I, uh, basically hacked like 10 years ago as students at Waterlue how to do AI on quantum computers, uh, from first principles and then Google like pushed us out of >> Yeah, I was going to say, did they just miss they missed that bleep? I feel like that bleep just totally missed that guy's fbomb, but that's okay. So, right here, he's about to explain that basically he's a genius and Google like pulled him out of school because of how much of a genius he is on quantum computers and then they worked on quantum computers and then they left quantum computers. But let me go back to what he was saying a second ago because he says that this is basically a probabilistic AI. So when I again when I think of probabilistic AI I'm thinking you're just me you're taking a cube of data and you're measuring it. You're measuring the randomness in this cube of data or whatever of data seems like measuring the medium and he says we're doing this because it's instead of stimulating we're not stimulating this. So the difference between the cubit is we would stimulate these cubits measure data. In this case, we're not stimulating it. We're using the random fluctuations as a resource. We're using the random fluctuations themselves as a resource. To me, all this screams zero point energy personally. Okay. School. And then we we we launched this product known as TensorFlow quantum. And then he went to the hardware division. Uh I ended up working for Sergey Brin on like special projects of all kinds and physics and AI. But uh over time it kind of got jaded with quantum and and we we we thought this sort of middle ground was uh between classical and quantum you know the messoscales was going to be way more interesting and so we set out to do a bioinspired or thermodynamic form of computing and so you know we're building hardware we're building compilers and middleware and we're we're building ways to connect it to the current deep learning stack uh so that it just feels like you know regular jacks and whatnot. What sort of primitives are you using on this computer? Well, okay. So, this gets pretty cool, guys, because this is where he actually explains what it does. And so, essentially what he's going to say here is that you could you could force like imagine we're molding something or we're creating uh we're doing sculpting. We're doing sculpting and we're going to sculpt our shape. Our shape is our design. Our shape is our information. So, we're going to create this shape of information. And what he's saying is instead of manually creating our shape using this bunch of energy to create the star that we want, instead we're just going to kind of stimulate, we're going to fluctuate, we're going to force the data into a mold that we want it to be into. So instead of actually just physically molding it the way we want, we just put the mold around it and let it form itself into its certain shape. And then we just measure the shape. We measure the shape and that becomes our resource. So if that sounds weird, well that's because all this computing stuff is pretty damn weird. But maybe I didn't get it right. Let's see. >> Our our primitive choice is like EBMs or energy based models, right? Which are programmable bolts distributions. Those are they're pretty clean because um you know you parameterize this energy landscape. So essentially we create this potential in which the the electrons dance. And by just waiting having this parameterized landscape. So we have a parametric shape by just waiting eventually you know the red dots represent electrons in this landscape that's you know we controlled with voltages eventually equilibriates and gives you a distribution and then because it's an exponential uh you can actually you can actually get all sorts of nice learning rules uh that don't necessarily require back prop uh such as contrast contrastive learning rules and and there's all sorts of learning rules like this right it's similar to um it's similar to like um Jeffrey Hinton's forward forward algorithm and so you could train this machine to do machine learning by contrastive learning uh and and and we've done that with uh some small devices and some bigger ones. Um [snorts] and uh essentially, you know, neural nets came from energy based models. They came from, you know, looking at averages of layers of of bolts and machines, right? That's what the 2024 Nobel Prize was for and that's when deep learning really started. And so we're kind of going back return, you know, we're going back to where neural nets came from and just and doing these primitives in hardware and software. Um you know, in terms of applications, I don't have to explain what probabistic inference can do. It can do most things. It's a supererset of of deep learning. uh you know there's all sorts of cool early early day applications and um you know year and a half ago we like posted our first experiment online uh we got cooked pretty hard it was good uh but really for us it was like okay can we can we even like create a programmable electron diffusion device and and show we could run like basic algorithms on it and how the hell would we program it and basically our learnings from taking quantum computing tech running it basically 100 times hotter allowed us this was like a breadboard prototype so you know we rented this lab in Canada everything was rented uh and and and and we did some first experiments and now we're we're kind of sitting on the paper and we're going to put it out basically after we launch our our our first silicon product. Um but you know the goal there is to like open source uh a viable way to build this type of computing uh you know that's maybe less commercially interesting but that academia can take and and run with. You know, here's our first our first uh >> Okay, so yeah, one person said a good comment in the chat is that what is the benefit of this is that the big benefit probably the number one I mean we already talked about the energy savings, but the the thing about the energy savings that makes it so significant is that this could be something that could be run in your phone. This becomes now a microchip that can go in your phone where your phone can do AI generative content. So now you don't need to go to a website to log into chat GP3 chat GP3 whatever to have it generate content for you. Now your pro your computer at home can do it. Why? Because it's a room temperature just a microchip that's being run at room temperature as opposed to something that needs to be frozen at absolute zero with liquid nitrogen whatever else they do for superconductivity to happen. This is why room temperature superconductivity is so important. Remember I started off on this whole journey talking about room temperature superconductivity LK99 remember when Eric Weinstein famously now it'll be famous one day my only interaction with Eric Weinstein in a space I said what do you think about room temperature superconductivity he gave me a two-word answer not interested not even making that up guys that was literally Eric Weinstein's response to me he will regret saying those words. I absolutely guarantee it because nobody who's a physicist should ever ever say you're not interested in room temperature superconductivity. [clears throat] Room temperature superc conductivity will mean that you can have microchip AI generation in your phone. It means your phone will no longer heat up. It means that we can increase power efficiency by like 30% everywhere. That's how much that's how much energy is lost just to heat. And for the people that don't know, yes, that was a real quote from like a year a little over a year ago, maybe a year and a half ago at this point where I was on a space with Eric Weinstein and I that's the only thing I asked him about and his his answer was not interested. So, okay, let's keep going here. Now, this gets interesting because now I think he talks about the Joseph injunction. Uh, not quite yet. In a few minutes, I think he'll talk about it. But here we go. >> Proistic chip. There was three proistic bits or or three pro, you know, thermodynamic neurons, whatever you want to call them. a couple designs and then and then the little snakes you see are like control lines and to control the parameters, the tilt and so on. Um and uh you know that first chip, you know, everything worked out. We have some cool experiments and really it's like if you had a different supply chain, you know, you might want to do things in superconductors. Of course, like the problem is you have to to cool it. Ideally, you could use a much smaller fridge, but you know, it's not it's not as dense as we like it, right? This chip is basically microscopic. You can see the you know the details like by the naked eye. And so what we had to do well so okay the reason we gave a uh was that you know people are like there's like these crazy like this crazy space-like race to have the most efficient or the biggest transformer uh possible and our theory was like if we open source it then maybe the governments will race to build a crazy superconducting supercomputer to have the most energy efficient transformer and so you know we mapped how to break down a trans whole pause chat chat pause. [music] [music] Okay. Did Did he just say that their whole objective here was, hey, maybe if we build this, it'll force governments into making a a an AI supercomputer, a super inefficient AI supercomput. Hold up, chat. Um, pause. Are you just such a good person that you just decided that oh we're going to force the governments to make one of these things? I don't know if I like this guy more now or I'm just super suspicious of him now. Uh I want to let's repeat that. Let's go back like 10 seconds that maybe the governments will race to build a crazy superconducting supercomputer to have the most energy efficient transformer. And so you know we >> I'm all about that chat. Yeah, let's get our governments to build a super crazy superconducting supercomput. I gotta go ahead and just say I in in the back of my mind I'm getting an itch. It feels like they might already have one. And the other thing I want to point out is that I'm not convinced that what these guys are doing is novel either. I am convinced that they're doing something that's novel to them. Yes, but I'm not convinced that if this is real and this is like a more efficient way of measuring the ether using a computer to measure the ether, then the government's already got it. Loheed Martin's already figured this out. In fact, what I really want to know is I want to have Charles Chase in the room with this guy. I want Charles Chase in the room with this guy and I just want to watch them. I want to be like Steve Irwin Criy. It's a It's a rogue. We've got a rogue Loheed Martin fellow and he's talking to the extropic engineer about thermodynamics, stochastic thermodynamics. Let's see how this plays out. Let's see who will win this battle. Right? That's how I feel about this. I just want to watch them in the room together and I just want to glean information. What a rare sight. Charles has gone and asked him does he think that the thermal fluctuations are related to zero point energy? Right. Criy, rest in peace, Steve Irwin. He was one of the best, chat. He was one of the best. My My Australian accent is garbage. I am not a theater kid. I will never be a good actor. So, it is what it is. >> Mapped how to break down a transformer and its operations into superconducting thermalization physics. And then we did some benchmarks. I think those lines are out of order. Um, it's like the legends messed up. But, but you know, the problem this is just simulations, right? Is it's you scale to a freaking room size computer of this type. Uh, it would be crazy, right? Like the energy efficiency gains are like insane. They're like 10 million X plus, right? 100 million X plus. So you can see the energy levels here. They should have called it a Ligma. So they could have been Ligma my balls, but that's okay. It looks like they called it Llama. It was a definitely a miss. It was a miss on the naming convention. They should have called their microchip the Ligma 3. I could been like my balls, son. Which, by the way, if you did not see my beautiful, beautiful tweet about the new apology form, spoiler alert, once I saw Donald Trump talking about testing nuclear weapons and what have you, I said these nuclear weapons, when these nuclear weapons are manipulating spaceime and not creating mushroom clouds, the new apology form is just going to have a picture of my dick on it. [laughter] Just got a picture of my dick. and you sign the apology form right on the balls. Right on the hairy balls, you can sign your name. That will be the new Ash and Forbes apology form when nuclear weapons are manipulating spaceime because literally nobody else on the face of the earth is saying that nuclear weapons manipulate spaceime except for Ashton Forbes. And if you can find somebody else saying it, then put them in touch with me because I want to talk to anybody out there who's saying that nuclear weapons are manipulating spaceime. Sorry for that side quest. We'll get back to your regular scheduled program. Here we go. >> So, so that's cool. Um, but obviously it's not tractable because you got to like super cool it and you wouldn't be able to put in your phone or something. Uh, and so, uh, basically we had to figure out how to port this technology and what we learned to room temperature uh, and in silicon uh, in order to make sure we could deploy it at scale and mass manufacture it. And, uh, you know, like a year ago put out this plot and and then we were manufacturing our chips. And then you know as we was reported in and wired we you know we we we successfully uh created a bunch of new primitives in silicon. There's proistic bits. There's other silicon primitives in there. Uh and basically uh I'll talk about it but we're going to give people access to this chip in a dev kit uh uh very soon. Uh I'll get back to that in a second. Um I don't know this is a movie but you know you can see the the proistic bit. >> I think that devkit already happened. That's that weird box we were looking at >> signal there. It's basically we control how much time that the the signal spends in zero or one and we have like pretty good control there and like sort of reliable manufacturing. That's kind of the that's kind of the hard part. And if you get your components right, then you can scale. Of course, [snorts] like none of this matters if we can't scale it, right? And so, not only do we have to scale the hardware, but we got to scale the models, right? And so, how are we going to scale the hardware? So, this is like uh yeah, I mean, this is our game plan. So, yeah, so thousandx year over year uh number of degrees of freedom. So, we start off with three proistic neurons or proistic bits. We have 300 components uh proistic degrees of freedom on the on the new chip. And then uh we're designing a chip that's coming out next year with uh in the order of millions, right? And so yeah. Yeah, we're scaling this. >> Yeah, Chad, I'm going to have to give these guys a call next week cuz I I'm interested in investing. I'm interested in investing. Chat, why would I put my money in Nvidia or somebody else when I can put my money in a company like this where, you know, it might not work out, but if it does work out, you're looking at like thousand times gain or something like that. I mean there's potential where these microchips could replace all the hardware. Now the first thing would happen is Nvidia will just copy this and make their own, right? That's what they'll do because there's nothing that's going to limit that. But so right now really what I'm weighing is I'm weighing how and why people will use this over current systems and then how you would integrate this into the current infrastructure. Are you just going to start replacing old boxes with these? Can they work side by side? There's a lot of hardware related questions that you need to figure out. And yeah, there's actually they will probably just buy them out. So if they got bought out, you guys got a great point. You definitely want to be invested if they get bought out because then your shares all of a sudden get bought for way more than you bought them for, right? Yeah, exactly. They probably will probably just buy them out, honestly. >> Uh yeah, thank you. Um so yeah, uh no no tweeting this yet. Uh yeah, eyes only. Please don't no leaking. Uh and [snorts] uh you got to you got to also scale the algorithms, right? So you know there's a there's a paper from Google called denoising recovery likelihood. It's like chaining EBMs to uh to replace the fusion models and using like 100 times less steps, right? And so uh basically we like supercharged that algorithm for our hardware. And um so the next slide you're going to see 1,000th of this chip, this next chip. We simulated it running the algorithm and um you could basically do what we call denoising thermodynamic models uh in a way that's much more efficient. DDPM is like a diffusion model. Uh the circles are running on GPU and the axes are running on our computer. Uh again this is in simulation. Um but essentially it's uh you know you know if you run a cheap algorithm it's a thousandx better. If you run an expensive algorithm it's like 100 millionx more energy efficient. And this is sort of the number of uh jewels you need. you know how much energy per sample and so you could have you know more generation more throughput in parallel or so basically what he's saying is that because the old system of doing generative AI the way the old system of generative AI works is it's almost like uh what did they say transformation or something like that where it has to go through these chains one at a time right and this is what makes it so inefficient makes it take so long and makes it take a huge amount of energy their system can skip all that they can skip that. So that huge chain you saw, they skip all that. And so when you look at these numbers here on the screen, they're talking about efficiency levels a million times more efficient in the energy consumption. So we look at the energy consumption down here and we see like under 10 uh jewels per sample and it goes all the way down to 10 the minus 7. So every minus every minus you see increase adds another zero before or after the decimal point. So 0.000000 Z. So minus 7 has minus has seven zeros. 0.7 zeros and then one. So the amount of energy these things are using is significantly less than current architecture. This is the kind of thing where I look at this and I go, "Wow, if that's real, if that's true, then that is a that is such a huge amount that there's definitely value there." There's definitely value there. we still are going to need fusion. And even if those numbers aren't accurate, even if it's only half correct, it's still huge. My bigger question would be, is there some kind of larger reason why this won't work? Like, is the microchip going to break down after it's been used for 15 minutes or something like that? You know, is there some kind of like what's the catch? What's the catch? Is there a red flag here? Because otherwise, I look at this and I'm going, this seems like a no-brainer. seems like a no-brainer to me. And maybe we're lucky. Maybe we just happen across the newest thing and we're getting in right now on the ground floor. Maybe this is the next trillion dollar Nvidia company. Or maybe they get bought out and maybe all of our microchips will be using these in the next 10 years. If that's the case, this stream will be legendary because I'm going to be way we're we not me, we are going to be way ahead of the game on this company. you might start seeing news articles and uh like you know spots these this guy might be on Joe Rogan that guy might be on Joe Rogan in a week or two and we're going to be like oh yeah we were talking about that we were way ahead of everybody on this one so we'll see or overclock in time using more energy but um but yeah this this was I think for CFAR um and so uh yeah I mean this is pretty exciting like we're designing this and we're going to you know have it next year uh from the manufacturer and you could run some pretty pretty interesting algorithms on it. And so, you know, I'm I'm really excited to um you know, finally be able to give people early access to the software and some of the hardware. Um so, you know, people ask us like when when the dev kit will be ready and when they'll be able to like experiment with the dynamic computers and essentially it's this summer, so summer 2025. >> Yeah, let's go. >> And uh got the chip right here. So repackaging it into DevKit and essentially you're going to be able to have it on your desk and just plug it in your computer with Ethernet and start hacking. And so uh you know people thought it would take us 10 years or 20 years. They're dismissing us and we were cooking. So uh I wouldn't sleep on this. Okay. I just wouldn't sleep on this. And if you want to start hacking with thermo computers uh email me uh sign up for the devkit on the website and please email me like anybody in the SF hacker community. Like we definitely want to get some dev kits out. You know the first dev kit it's a toy. It's a toy. It's basically you can do some toy models of what you want to do and scale up. But the next chip is is serious. It's the bigger brother and we're going to keep scaling beyond that. And um you know this is like for me it's been like a really long >> wait why I missed the part. He's supposed to say Joseph's injunction some at some point around 16 minutes in here. He said something about superconducting. Is this a different video? >> Journey through physics and 10 years through physics based compute um to derive from first principles where algorithms and computing is going and and we have a lot of conviction about this and you know seeing our thesis get proven out you know at a theory and component level experiments uh and and now benchmarks um it's been really validating but it's it's really the beginning of the journey but uh honestly I think it's going to change uh everything. So uh you know sleep on at your own risk um but yeah come talk to me after. Thanks everyone. Okay. [music] I thought Hold on. I'm checking real quick to see if that's the right video. Oh, it's a different video. Oh Wait, is this the same thing? Oh. Oh, no wonder, chat. Oh my god, chat. I watched and reviewed a completely different video that is one minute longer than that video by the same guy. And it must be the exact same presentation [laughter] because all this stuff was in like the same sequence. My bad, chat. Okay, so hold up. We need to This is what we need to look at here. Okay, can you see this? No, wait. That's not even the right screen. Oh my god. Whoops. Whoopsie. I had a feeling, too. I was like, wait, is this the same one I was just looking at? There was like some subtle differences. So, this this is the same guy. And this is the one I was wondering why I didn't hear the bowl analogy. He brought up the bowl analogy. I'm like, wait, he didn't say that. So, like right around here, I think is when he says it. Yeah. Okay, I've got the time stamps now. Here we go. >> This is the one I want to watch. It is more science depth here >> called a Bolson distribution, which is this exponential distribution there that is normalized. Right. So, you what we're doing is programmable bowls that have parameters of how you shape the bowl. And we're letting electrons be our bouncy balls hop around this highdimensional landscape. And then we get samples from the computer. It's pretty simple, but oh man, I want I wish we I I don't want to rewatch all this. This is the one I wanted to watch. This is the one where he explains it way better than the other one. I was like, wait a minute. Does he explain this in more scientific detail? Okay, let's just skip ahead to the 16-minute mark because he talks about the Joseph's injunction. And this too is where he talks about the chain here as well. So, I guess we'll play this. >> You can get away with a hundred times less steps. So there's a paper uh diffus denoising recovery likelihood with EBMs uh it's a paper by Google a couple years ago uh but you could do basically diffusion models with a chain of denoising EBMs right so this machine can do basically everything that everything like diffusion models can do but better so that's pretty great that's a lot of applications the next slide is very fresh just specially cooked for today it's very preliminary so Yeah, you know, wait for the paper. So, yeah. >> Yeah. So, this is definitely the same presentation that he was just showing. So, what I wanted to get to then I want to show this part because this was not on the last presentation. We'll go to right about here where he talks about Here we go. Thermo superconducting thermo AI hardware. Our first prototype. Our most macroscopic thermodynamic computer. Okay. Is it going to play? >> [sighs] >> chat, they're getting me. It's the the evil forces chat are preventing me from playing the video. They're trying to stop me from telling the truth, chat. That's what's happening right now. What's called avery secondations that happen at 80 GHz. So, this is our superconducting lab. This is as microscopic as you can make a thermamic computer. Anybody claiming they can do a breadboard in their garage, that's a thermic computer. Injected synthetic noise and it's a LAR. So we had to go to great lengths to make macros as microscopic of a prototype as we could. This chip is about as big as your thumbnail, but the features are visible and we have a whole cryogenic lab to fabricate and test these devices. These use superconducting justice and junctions to create again general energy functions over the continuum. Chat, he said the words. That's all I wanted to hear. chat. Superconducting Joseph injunctions. Yatsi. OMG. That's what I wanted, guys. Wait, where's my thing? Boom. Gotcha, Super. Let me hear it again. So, this is why when the man's talking about it's not a it's not a quantum computer. I'm like, what? But quantum, we just found out that quantum computer is just two Joseph's injunctions built into a squid connected to a capacitor. That's all a cubit is. So when you're telling me, oh, my microchip is totally not a quantum computer. It just it uses all the exact same functionality, the exact same microchip design, that's where I'm like, okay. I mean, technically you're doing something different, but is it really not a quantum system? Okay. >> Hip is about as big as your thumbnail, but the features are visible. And we have a whole cryogenic lab to fabricate and test these devices. These use superconducting Josephus and junctions to create again general energy functions over the continuum. And this is there's a whole movie online. You can check it out. We showed our fabin lab and how we've manufactured these devices. >> But essentially where you to scale a massive superconducting supercomput, you can have the most energy efficient transformer you can build. And so that's probably for us this was a stepping stone. This was like our breadboard. >> So a superconducting computer is the most efficient system you can possibly build. Why? Because superconductivity has no resistance. No resistance means there's no energy loss due to heat. That's as efficient as it gets, chat. Well, not quite, but as close as you can get from a standard thermodynamic standpoint. Prototype. So this fab is in Sherbrook. Uh on the left is our chip. So you know we have 25 patents in counting on this on this paradigm. So come talk to us if you're interested in scaling this. So that's our first thermodynamic computer. This is a programmable energy based model device. We're actually I'm announcing today that we're going to be open sourcing the blueprint for the software and hardware. So how we did how we can do all sorts of algorithms and how we can map algorithms onto superconduct. >> Sweet. Okay. One last thing we're going to So there's a brand new video they played. So that was what I wanted. There's a little bit more about the wobbly physics and utilizing brownie in motion like 3 minutes into the video. Uh but that's fine. I think I kind of explained it. I already watched that video and and kind of explained all the highlights for it. Um there's a brand new video they just put out which I I have not had time to watch yet. Um wait, their account doesn't exist. Okay, there it is. Uh here we go. So this other video is pretty high on pretty deep on the science. So if this is over people's heads, it's over my head too, guys. You got you really need to be a PhD in quantum mechanics to really understand a lot of this stuff, which is why these guys talk about, you know, their journey in physics to understand it and how it all works. So if you even understands the concepts, you're doing a great job, frankly. So don't get down on yourself if you don't. So this is I think their lead engineer. I don't think this is the founder but their lead engineer the other the one the other guy basically and he kind of explains some of the science behind what they're doing here like what is extropic doing what this is what we're trying to understand what what is this actually doing >> leverage that hardware efficiently to do something similar to chat GBT or midjourney right so the neural networks we have today like transformers are really built to leverage specific things about GPUs um and if you so if you build a new type of hardware you also have to build a new type of algorithm to go along with it and so where are we now well over the last 2 years, uh, we've kind of built a version zero of everything I just told you about. We've built chips that let us test these new probabilistic circuits in the lab, right? So, it's not just theory. We've actually built them and validated that they work how we think they should, which was a lot harder than you would think because, you know, all circuits have noise, but it's a whole another matter to actually use that noise to do something useful reliably. We've integrated those chips into simple systems. So, you know, we packaged our chips, built boards around them, um, built interfaces from the talk to FPGAs. >> Yeah, chat. These these nerds are not great at addressing themselves. It's they're not great at social interaction and they're not great at hygiene and they're not great at addressing themselves, but they are super smart when it comes to building microchips chat. So, we will be giving them a pass on all of those other things kind of do hybrid algorithms. And then we've also done a bunch of work on the machine learning side to figure out how to leverage this new type of processor to do something useful in generative AI. So all that's been done over the last two years. And what that gets us is this plot here, which shows that simulations of a chip we're building now could be around 10,000 times more efficient than a VE running on a GPU on some simple generative AI benchmark. Now great. Okay, so basically we did a bunch of research. Where are we going? Well, now it's all about scale. We've built these simple systems. So now we have to scale up both the hardware and the algorithms to raise the capabilities of our systems to be more comparable to what you can do with LLM today. Right now everything we've done so far has been extremely scale. The company's only around 15 people and those people are split between integrated circuit design, statistical physics, research, and machine learning. Now, let's get a little bit more specific about what each of those new things is, right? So, what do I mean by a new type of integrated circuit processor? Well, again, an integrated circuit is just a chip made out of a bunch of transistors that you can get from TSMC. So, there's nothing exotic like quantum computing or photonics. The way it is different from what exists today is mostly architecturally. So, a GPU is essentially a giant array of floatingoint multiplicate units that get orchestrated. So he's saying that instead of it being a quantum chip using quantum mechanics, it's more like a standard GPU standard processor, but it uses a different mechanism. Here we go. Created by some central controller to implement things like matrix multiplication for deep learning. That's great for doing neural networks. Our new type of processor is called a thermodynamic sampling unit. A thermodynamic sampling unit is extremely different from a GPU in that instead of being a large array of floatingoint multiple accumulate units, it's actually a giant array of sampling cells. Right? All right. So, a thermodynamic sampling unit looks like this picture on the right where you have a bunch of cells and within each cell you have some kind of specialized sampling circuitry that implements ultraefficient random number generation. You have some circuitry that computes the parameters of that random number generation process such as the bias of flipping a coin. And you have a register that stores the state of the program. And so when you roll out a program on a TSU, what basically happens is all of these cells talk to each other and orchestrate some kind of sampling procedure to uh sample from some computationally useful probability distribution. What do I mean by probabistic circuit? Well, traditional circuits compute functions, right? So, if you have an >> Okay, I think we'll probably call it there. It's already getting a little bit too deep for me, but what he's saying is that instead of actively inputting our data, instead of having our input be as he describes in that uh screenshot matrix and a vector, he's saying instead we just have these sensor units. These sensor units that are sampling units, they're just sampling the data that's already out there. So it does seem like they're quite literally just measuring the ether. Now in this case it's not the 0 point energy ether. They're measuring the thermal fluctuations that are occurring and then they're using that as their resource instead of creating their own binary ones and zeros through an input. So if you take the input away and you just sample the parameters and the data that's already there, then of course that becomes a lot more efficient. So I think that's probably the most important takeaway if we if we really go high level on this and say what is the big takeaway from this entropic entrop entropic right chip is that it is sampling energy that's already out there instead of inserting energy to create a result right sampling the energy that's already out there instead of inputting energy to create a specific result. So that's the big difference here. That's what they're doing. To me, that seems very intelligent. And also, here's my last thought of the night on this. My last thought of the night on this is if I was developing a sentient AI, an AI that meets the three criteria that Salvatore Py mentioned, the what do he call the the triarchy of sentience. What did he say? He said, "Number one, number one is you need to have energy. You need energy to be able to pull this off. You need the processing capability to pull this to this stuff off." I would say, "Okay, we've got that met." Number two, we need the ability to have good data, good vector analysis, I think they call it. We need to be able to pull the best sources. Okay, that's also pretty easy. The third one is the hardest one. Creativity. Ultimately, when we talk about creativity, I equate that to randomness. Can a computer produce true randomness? When a computer can produce true randomness instead of the fake random Monte Carlo thing they do right now, that could be seen as a form of creativity, unique inspiration, new content that's original. I think that sentient AI will only come from microchips that sample the ether. If our consciousness exists in the ether, if we are just receivers and we're tuning in to our consciousness, then these kinds of microchips would be exactly what's needed for a sentient computer to also tap into that consciousness in my opinion. That's just my opinion, guys. And now after listening to all of this, I would say that standard computers were never going to be conscious. There was no way for them to be conscious because their architecture, their framework was never conducive with consciousness. Consciousness will because we were always trying to input a result to get a result back. What we should have been doing is just listening to the ether. Just listen to the ether. The consciousness is already out there. Don't try to make the point. Just listen to what the ether is telling you it's saying. That's my view, guys. And that's why I'm so excited about this microchip. I think I am going to give them a call. At a bare minimum, I'll see if I can get an interview with one of the founders or the engineer guys because I'm pretty excited about their content. And maybe I'll invest myself. Maybe I'll have my own little uh alien computer thing over here that I don't even know what to do with it. Maybe I'll do that. So, that's going to be pretty great. And yes, uh Jason Georgiani, I'm going to be talking to him next weekend. Actually, next week. Uh the I'm probably not going to do it live, so it'll probably be pre-recorded. So, it'll probably drop next weekend. And then, um the other big collab is uh Salvatore Pis wants to talk with Dave and I. So, we'll probably do that on a podcast as well. Um that may be coming out next week uh as well. So, there might be a lot of stuff coming down the pipe here for you guys. Thank you guys for listening in on this. Um feel free to follow on all the socials. Give me your feedback, blah blah blah. Anyway, I love you, MH370X. I hope you guys have a great Friday. I hope you have a great Halloween. Go out there, trick-or- treat, get some candy, whatever. Lulu says hi. Uh, you know, like the picture in the Discord, guys. I'll post a picture of the Discord or a link to the Discord in the chat here. Have a great night, everybody. Peace out. [music and bell] Just kidding. I forgot to do the other the super chats. My bad, guys. Oh, man. Look at me. One of those nights, guys. Thank you very much. Quantum Queso Dip. Thank you for that super chat. I always got to do the super chats. Thank you. Timothy Foster says, "Good evening, Ashton and Orbee Ambassadors. Chip Design rocks." Thank you very much, boys. And in the PL chat, guys, thank you. John Glock, who's been hanging out in the PL chat a lot, and Methyl, I see you in there as well. Mrs. adventure. Thank you guys. John Glock gave a cookie and he said, "Happy Halloween. This is enough gold pills to buy a candy bar in 1990. No disrespect." Thank you very much, brother. Appreciate it. And thank you guys in the Rumble chat as well. Have a great night, guys. Peace out. [music] [music] Out in the fields where the skies are wide. Talking about a journey through the cosmic ride. Einstein [music] and Thorn, they set the stage for a trip through time across the space age. Wormholes connect distant points in space. Traversible paths to a far off place. 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