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Climate Engineering Being EXPOSED By Looking At The National Oceanic and Atmospheric Administration’s OWN DATA & Flight Paths 🚨 This Shows Back & Forth And Back & Forth Flight Paths That Would Be Used For Deploying Chemicals Into the Air For Weather Manipulation ☣️🌫️ ✈️ “Check this out from... show more
9 条评论
I wrote a song about this around 16 years ago and have been called all kinds of crazy for it.
Just look at the storm track of Idalia. Climate Change is not only being pushed, it's also being manufactured.
It’s true. They are spraying us. Look at the “dust” above the spotlight in each video. Both were taken within a week of eachother. Try shining a spotlight into the night sky and you will see something like this!
@WeAreWoke1776_3 Monkey Werx! Haven’t heard from him in a while. Now, there’s a dude with some aviation experience. His whole family has a connived 100+ years experience in the industry for the MIC.
We're going to keep posting evidence every single day until everyone gets it.
Wow this is mind blowing
Most people can’t fathom what is being done to us. It’s truly amazing all the evil that has been accomplished, and no matter your standing, you have to give some credit where it is due.
Been watching Monkey since day 1. He doesn’t push anything on you- just shows u data on many things. NOAA & Weather Modification LLC/INC don’t hide-they even set up no fly zones & why u get delayed/cancelled flights. It’s crazy u can watch this live on apps & then look at ur sky
False conclusion, they are NOT modifying the weather, they ARE watching very, very closely, monitoring, taking readings of escaped underground gas emission and looking for signs of tectonic activity. The biggest fear is the ZetaTalk predicted New Madrid adjustment jolt and consequent EU and US East Coast TSUNAMIS. Signs are clear that NMA #9 is about to unzip, followed by cataclysmic tsunamis toward EU and US #10.
![Just in $AMD Anush "Speed is the moat"|ROCm🎙️ In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan Elangovan, VP of AI Software at AMD , but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI. AMD ROCm Software: Part 1 Transcript [00:00:00] Andrew Zigler: Joining me is Anush Elangovan, VP of AI software at AMD. And when people talk about AI compute, the conversation often stops at hardware specs, but it's more than just physical chips that win the game. It's also the software ecosystems supporting them. [00:00:18] Andrew Zigler: The prevailing strategy in the industry has been to build something like a walled garden. You know, something closed, proprietary locks, developers in. But AMD is betting on an entirely different play, open source acceleration, and with rock, their open source AI software stack. AMD is building not just hardware parity, but an innovation flywheel that's powered by the community with interoperability and the freedom to scale without all of that pesky lockin. [00:00:48] Andrew Zigler: And in this world, speed is your moat and how fast you can innovate while your platform remains open, flexible, and standardize across all of its applications. That's what we're gonna explore [00:01:00] today. So Anush, I'm really excited to have you here. Welcome to Dev Interrupted. [00:01:04] Anush Elangovan: Thanks for having me. Uh, super excited to chat about it. [00:01:07] Andrew Zigler: Amazing. Well, let's go ahead and dive right in with kind of what I laid it out with in the beginning, the idea of the moat and it being about speed. I wanna unpack that a bit because that came from you when you and I first spoke. And I, and I want to know, you know, how do you define speed inside of AMD beyond just things like hardware, benchmarks. [00:01:27] Anush Elangovan: Yeah, that's a very good question. So when we typically talk about speed, everyone's like, Hey, hardware benchmark specs, right? Like, uh, memory bandwidth or, or flops. And that is one important part of it, uh, AMD does very well. With that, we do have, a, a very good history of executing on that axis. [00:01:47] Anush Elangovan: But when I say speed is the moat, it is about, uh, how we prepare, how we build the muscle to run the race for a long time and run it fast. And it is [00:02:00] not about a single point in time that you've, you've beat some you know, benchmark and, and you declare victory. It's about building the ability to consistently develop and deliver. [00:02:13] Anush Elangovan: Both hardware and software innovation at scale and do it fast, right? Like, you know, we we're increasingly getting to a point where models come out and they're, uh, you know, a year or two ago it was like, Hey, they work on AMD on day zero, which is great, but now they are performing on AMD the day it releases, right? [00:02:32] Anush Elangovan: So, what does it take to Prefetch where the industry is going? Be prepared to intercept. At that point is what you know, I, I refer to as you know, the, the speed factor in, in creating this mode, right? And the mode is just shed all things that hold you back and run as fast as you can. [00:02:53] Anush Elangovan: Uh, because the pace of innovation that is, uh, being seen in, in AI [00:03:00] industries is just. Amazing. Right? And it's like, it's transformational at at how you generate electricity. It's transformational as at how you build data centers. It's transformational at how you deploy compute, networking. It's transformational at what kind of use cases you, you know, uh, use AI for. [00:03:17] Anush Elangovan: Uh, and for that, you need to be prepared to, see what comes tomorrow and be prepared to run the race tomorrow. [00:03:23] Andrew Zigler: Yeah, it's a really great perspective because it highlights that it's not just like a checkpoint that you run through. I like how you called out, like it's not just hitting that benchmark or being the best in class at that moment, in that snapshot, it's about having a. The throughput and about having that dedication to the idea and continuing to deliver on it. [00:03:43] Andrew Zigler: It's not just crossing the threshold, but it's also being the engine. And that's what, that's what protects a business. That is the moat, because the moat is that innovation layer, the faster and more, uh, future forward. That you can work and think, [00:04:00] you know, the better. Uh, we, we talk a lot about like future forward work styles. [00:04:04] Andrew Zigler: Like what are the things I could be doing right now today that are gonna be like, way more useful tomorrow? Let, let's abandon those, workflows that are older and that kind of like, that translates into. An advantage when you work that way. You know, what kind of things have you learned working with, uh, like across all spectrums of people who would use ROCm, right? [00:04:23] Andrew Zigler: You have like the developers, but then you also have the enterprises and you have this large span of adoptees, right? So what is the, what does that look like that you learn? [00:04:32] Anush Elangovan: Yeah, so, so the way I look at it is there are gonna be pockets of different, uh, you know, cadences, right? Like, so people who are deploying in enterprises, for example, right? The validation and how long it takes for them to deploy an LLM that's secure. It's, with guardrails, et cetera, maybe longer. [00:04:52] Anush Elangovan: but you still have to go through the process and you have to be prepared to like, walk that walk to deploy an enterprises. That doesn't mean it's [00:05:00] not fast, that's as fast as you can do for that industry, right? And if you are deploying AI in healthcare, right, it's, it's got its own, uh, cycle. [00:05:07] Anush Elangovan: but in each one of these, you want to see how, like, go down to the essence of what is it that you actually have to do. And, you know, I, I, I like how you framed it. It's like it's, you shed your prior assumptions of how things are done, right. And, and you kind of build up from a, uh, first principles, uh, approach to say, this is how I could use AI to unlock, whatever I'm doing. [00:05:33] Anush Elangovan: And, and, some of it, you know, it's good to really step back and look at. Just question every part of it, right? Like right now you're getting chat GPT and, Gemini competing for like, math, olympiads and, and, uh, college, uh, reasoning, uh, tests. Right? And, and those are like that, that is amazing and increasingly like complex tasks that they're trying to do. [00:05:58] Anush Elangovan: But there may also be like. [00:06:00] More mundane things that AI could, could get applied to. Right? And, and so when we think about shedding old ways, you wanna shed it not just in like the tip of the spear. It's like, you know, I'm gonna see what's the frontier model. It's also, it could be something as simple as. [00:06:18] Anush Elangovan: How do you choose a, a movie, uh, you know, like a recommendation system, right? Or, or, uh, an automated, uh, flight, uh, rebooking system. So the moment, you know, your flight is late, uh, right now it's a notification, right? It's like, oh, you got a text message saying your flight's late. And I got that like three times this week. [00:06:38] Anush Elangovan: But anyway, uh, and, and, and, and, I was just like, okay, so if I were to rethink this. All this MCPs that we have that should be hooked up into an MCP that says, your flight's delayed. Here are your options. If you want, you know, these are the paid options. Yeah. Here are the free options. This will get you back into your you know, Toronto airport [00:07:00] tonight. [00:07:00] Anush Elangovan: Or if you stay, here's a hotel plus this, plus this, plus. It's just like, go ahead is all I should say. Versus now I'm like, okay, can someone, you know, can I call a travel agent? Can I do this? Can I go online and log into And you know, so we gotta fundamentally rethink even those like small, nuances of, things that we do that can be automated out and AI is really, really good at doing something like this, right? Maybe I just explained an AI startup idea right now. Somebody should just start that. [00:07:29] Andrew Zigler: I think you did. Yeah, you definitely did. Someone, one of our listeners is definitely going to lift that off of you. I, I, I, you know, I hate being on the receiving end of those. You feel a little helpless and then you have to like, follow the whole flow. So I know what you mean. Like I, I like how you called out that the build and this like. [00:07:45] Andrew Zigler: Where speed is your moat and the innovation layer is protecting you, is what makes you better than your competitors. How you scale that and you bring that to market. So by understanding the problems that you're solving, uh, throwing away those older assumptions, but also [00:08:00] recognizing that like. We're building every single day, new things and new ways of using stuff that we're still figuring out the implications of. [00:08:08] Andrew Zigler: And so when you have a lot of velocity and you're introducing a lot of new ideas, and maybe you have that workflow now that automatically rebook your flight off of your late flight text message, and uh, I know I would certainly use it, but you know, what kind of philosophies guide the way that y'all think about building this ecosystem to manage that stability while letting folks. [00:08:29] Andrew Zigler: Play with the speed and the assumptions and the airplane re bookings. [00:08:34] Anush Elangovan: so, so I think, you know, we need to peel one layer down, right? and the philosophy is, Hey, we, we just discovered electricity, right? And you know what we're gonna do? We are gonna make motors, uh, or dynamos, right? Like engines. Uh, sure. We don't know if it's gonna be a Ferrari that you're gonna make, or it's a a a a dump truck. [00:08:57] Anush Elangovan: That's good for doing this. But let's [00:09:00] let, which is also required, right? You need a dump truck. You need a garbage truck. And, [00:09:04] Andrew Zigler: Yeah. You need the [00:09:04] Anush Elangovan: course you need, uh, a Ferrari for a midlife crisis, right? So, [00:09:09] Andrew Zigler: precisely. [00:09:10] Anush Elangovan: But, but my, uh, point is what do we build next? And, uh, and this is what I meant by like, okay, let's, let's take those baby steps to build the. [00:09:20] Anush Elangovan: Infrastructure that's required that we know we'll have to use, right? So, so if I just discovered electricity, okay, great. Now one, how do I save this electricity and how do I use it? So there's battery technology, so you need to do something like that, right? Like so. But then you also want to make it into an actionable thing. [00:09:37] Anush Elangovan: You want to make it for like automobiles, or you wanna use it for, you know, powering, uh, entire cities. So it is that transformational. So, uh, AI is that transformational. So, if you distill down, it'll, it'll come down to how do we think about, what we can do with this this fundamental technology that, We may not be aware of what it [00:10:00] is gonna unlock next, but at least you know the next step is clear, right? It's like a dense fog, you know, it's gonna be like, it, it's the right path. You see the light, but it's kind of like out there and, and the steps you're taking are concrete and you're like, okay, this is good. [00:10:16] Anush Elangovan: I, this is better than where I was or where we were. So we are moving forward. So you can build with the. Intuition from what you see in the short term and a tactical view, but towards what you think the future is gonna be. [00:10:28] Andrew Zigler: Right. You almost like we're all in this like fog of war, right? And like you said, you're reaching out and you're trying to step through it. You could think of it too, as like you're in the dark and your hands are up in front of you and you know that. You're, you're not gonna run your face into a wall because your hands are out in front of you, but you're not gonna maybe do much better than that. [00:10:45] Andrew Zigler: So that's kind of like, I think the eco, the, the industry, the world that we find ourselves in, uh, and we all have to, then this becomes the power of an ecosystem, of a group of people working together to create that layer of, [00:11:00] uh, of establishing the [00:11:01] Anush Elangovan: exactly. And I, I, I just, instead of, you know, saying fog of war I describe it as like, you're in this. Beautiful valley with like a morning, uh, fog that's in. You can smell the flowers. You, you hear the birds. You are like, okay, it's, we are in like, uh, utopian paradise and yes, I just need to like, continue the walk, right? [00:11:24] Anush Elangovan: and then move forward with that, conviction that you're in the right spot. [00:11:27] Andrew Zigler: Yeah. So let's talk about that ecosystem world. This nice, I love how you describe it, this grassy side of a hill in the morning that's covered in some mist and maybe we can't see 30 feet in one direction, but it sure is a beautiful hill and it smells nice. And so we're all here. And why is, in that world, why is. [00:11:44] Andrew Zigler: You know, open source, their strategic advantage that y'all are going for in the AI hardware market. And, and then how does like ROCm turn that into wins for people within that ecosystem? [00:11:56] Anush Elangovan: you know, the, the way we look at it is this, is kind of like how I view [00:12:00] AI and the ecosystem, right? But, but it is for everyone to enjoy. Uh, and so we do want to make sure that. You know, it is, uh, beneficial for everyone. [00:12:09] Anush Elangovan: The ecosystem can come in and, and innovate. It's an open innovation engine. and uh, it is very different from, you know, having a walled garden with, Hey, only I know how to do this and I'm gonna do it and throw it over the fence and you can use it or keep walking, right? So we'd like to be good citizens that way, but also. [00:12:30] Anush Elangovan: Uh, it is self-fulfilling in a way, right? Like it, the, the pace at which we innovate with open source is unmatched. Like, you know, our serving engines are like VLLM and, and sg l. Those things, uh, those frameworks are like super, super aggressive in terms of how fast they come out with features and how fast they can you know, get performant models out. [00:12:52] Anush Elangovan: And that compared with what, uh, you'd get from, you know, the likes of like T-R-T-L-L-M or something is always lagging, right? Because you [00:13:00] just can't keep up with you know, 200 commits a week just on one particular model to get that model really performant [00:13:06] Andrew Zigler: And, and, and in that world where, you know, everyone can enjoy the winds of this, what kind of customer stories or innovation stories have really stood out to you and excite you about building and creating this place for developers? [00:13:19] Anush Elangovan: Yeah. So I think the parts that are super exciting for me are when when we get to see a customer that is first skeptical. Then they start a little like, okay, fine, we'll give you a chance. Uh, we do a simple, uh, POC and then they're like, huh, this seems to work. Yeah, we told you it works. [00:13:42] Anush Elangovan: You don't have to change one line of code. Really? Yes, no need to change one line of code. Okay, let's try a production workload. So then they try it. Oh, you're more performant than the competition. Yes. We're more performant than, than the competition. So how much does it cost? And we're like, oh, it's your TCO is better with, uh, [00:14:00] AMD. [00:14:00] Anush Elangovan: So again, they're like, wow, okay, good. So now how do we deploy at scale? And then we go deploy it at scale. And when they give a thumbs up on that and they say, this is good, right? That's when you know, you, you see it go full circle from like, oh, we, we've never heard about AMD to like actually deploy to tens of thousands of GPUs In the order of a few months, right? It, it, it really is fascinating to see and very exciting and invigorating to [00:14:28] Andrew Zigler: Yeah. At like a great exposure to a lot of interesting problems. And, and then people using the infrastructure, the, the technology available to solve those problems. Really specific problems by the way, that's often why they're bringing their data and AI to it, uh, is because it is really specific and important for them. [00:14:45] Andrew Zigler: And there's a, a lot I think that other engineering orgs can learn and even emulate from AMD's success and, and having this open source ecosystem and it causing this acceleration within. You [00:15:00] know, uh, customers and enterprises that use and adopt the tools and, and, and that creates an advantage. And that goes back to why we're talking and like the real thesis of our conversation today. [00:15:10] Andrew Zigler: So how do you think engineering leaders that are listening to this and obviously tapping into this great success AMD has from an open source flywheel, how do you think other, other folks building in the same space can foster that open, first, that open source oriented culture in order to, you know, accelerate their innovation goals? [00:15:29] Anush Elangovan: Yeah, that's a very good question. So the startup that um, was acquired by AMD we, we built, I mean, we started off doing iot stuff and you know, smart ring and all that, right? But in the, the end of like, uh, and not the end, the last six years of the company was building ML compilers. [00:15:47] Anush Elangovan: And ml, ML compilers are like super, uh, complicated, sophisticated, advanced algorithms, dah, dah, dah. but it was all open source, right? So our VCs were like, wait, what do you mean your core [00:16:00] IP is open source? And um, the speed is the moat applied even then, right? It was just like, yes, if you have an idea that. [00:16:08] Anush Elangovan: Because someone saw this idea that you are, they're gonna be able to catch up, then you probably have the wrong idea anyway. But if they are, you know, you execute and they're gonna catch up, that you should assume they're gonna catch up. Right? So you gotta move forward. So keeping it open source is super important. [00:16:25] Anush Elangovan: But also to your question on like, you know, the learnings from an AMD standpoint, right? If there are, hard problems, I'd say dig in and work through it, right? Like there's no way but through it, right? That should be the simple mentality. And more, uh, frequently than not. you'll see that you'll just make it through in a, in, in good form. [00:16:52] Anush Elangovan: But if you doubt it and you're like, oh, I don't know if I should commit, if I'm, I, you know, what should just commit to do the right thing [00:17:00] every step, right? Every step, and just keep taking one step in front of the other. And in no time you'll see that you'll be running. Right. And, and yes, the first few steps will be like, yeah, everyone's complaining about your software quality. [00:17:15] Anush Elangovan: Everyone's complaining about this and that, and it doesn't work. And, and a few steps in, you know, you get, you get the hang of all the complaints that are coming in. You get the feedback loop. You're like, okay, what, what are you prioritizing again? One step in front of the other, right? You just keep knocking that out and then you get to a point where you're, it just becomes second nature, right? To do the, to do the right thing. And, and then yes, if someone gives you two options, you'll be like, fine. This is, uh, you know, there's always the resource trade off. There's always a human capital trade off, but what's the right thing to do? of course, I, I'm pragmatic about what we choose, but, but if the right thing for your long-term success is dig in, go first, principles, make it [00:18:00] happen. [00:18:00] Anush Elangovan: Well. Then just go for that. There's, there is no shortcut to [00:18:04] Andrew Zigler: acknowledging, you know, how it aligns with your mission, your core company goals, and what you're looking to achieve. And, and I, I love how you rightfully called out that in the open source world and you know, you have your technology that you've built, what you think is your moat upon, right? [00:18:22] Andrew Zigler: It's your code and, and to open source that, or to just make it where anyone could peer in is, you know. Scary in one regard, but two, it just kind of feels like you're handing away your throne room in some kind of sense, a very direct feeling sense. But the ultimately, you were really right to call out, and this is something I think about all the time, that the real power there is still the speed This the speed. [00:18:42] Andrew Zigler: That was the moat at the beginning of our conversation. It's the speed in combination with your. Very specific domain understanding of what you're building and what you're creating, and your new role as the steward of that world and how people plug into it, which [00:19:00] has frankly, a lot more influence and power than lording over a closed. [00:19:04] Andrew Zigler: You know, repository or an ecosystem, and like you said, like throwing things over the wall. Sure. There, there might be people always on the other side of that wall, but you're not gonna have a great connection with them. You're not gonna be able to really clearly understand them. I, I like your metaphor of the side of the field of the mountain a lot more. [00:19:23] Andrew Zigler: But, but in the, in this world, you know, where. That speed is, is the power and, and open source is just one way that you can harness that speed to get really far ahead and to innovate. , There's other parts of this equation that you can be experimenting with too, and I'd love to pick your brain about them as a software leader and, and, and one of them is about looking forward and kind of understanding that future that we're all building towards and beyond today's models and hardware. [00:19:48] Andrew Zigler: You know, what do you see as the next major bottleneck or opportunity in the AI compute space? As, as you know, enterprises and folks start to get a little more mature about what's available to [00:20:00] them. [00:20:00] Anush Elangovan: Yeah, I think, the bottleneck and opportunity is, uh, what I'd call, call walking the last mile of ai. Right. Uh, and like I I, I gave you an example, uh, previously, but, but it's similar to that. It's like there are cases where Humans have so many, uh, things to do in your day. You know, like the, if we sit down and actually had a customer focus like, okay, these customers lives, I'm gonna save four hours of this customer's life. And if you actually sit down and look at all of that, it'll be. Easily automatable, easily you know, uh, applicable, uh, for ai, right? [00:20:39] Anush Elangovan: Like, but then making it happen is gonna take a little bit, right? It's like maybe it's, uh, paying your utility bill, right? Or something like that, right? Or, or, your healthcare explanation of benefits. Uh, like, I'm sure you get an explanation of benefits, and I'm like, I, I don't even know what that thing is. [00:20:55] Anush Elangovan: It's just like EOB and like. [00:20:57] Andrew Zigler: it's a big, a big old PDF. Yeah, [00:21:00] exactly. [00:21:01] Anush Elangovan: Like, like, I'm like great straight to the, uh, shredder, right? And but that could be, you know, automated with the ai, right? It, it, it'd be like, Hey, the summary of this thing is you went and visited this day. Everything is okay. Everything is paid for, so don't worry, it's not a bill. [00:21:17] Anush Elangovan: That again, the same, uh, thing, but the sense of what that information overload is could be. Digested by ai, uh, accumulated over time and retrieved when you need it. Like, I don't, I actually don't even need to know this EOB right now, unless of course, whenever I need to know it, that maybe, you know, like for some benefits I need to figure out what do, what did I do over the past year and how do I apply it? Source:](https://image.24vids.com/tw-1994972575768727743/amplify_video_thumb/1994972220930621440/img/_5CCZJyz89oDfqQJ.jpg)
!["Obviously, there's lots of different views on this year's generation of car, but I mean, for me, it's just exciting that it's a new era for the sport. I think every time it has been a new era, it's always been exciting to see where people come out and I'm proud of the team. The work we've done over the last year to get us to this point and be closer to the front and in the battle, I think is really a showing of the amazing work the team's done." "Of course, there's bits that I don't love, like the deployment and the lift and coast, some things we happen to do, and SM, it's all not ideal, but racing-wise, it's been really, really fun." "That race I had with Charles, just in the second race, was one of the most fun races I've had, I think. Other than that was maybe me and Nico in Bahrain many years ago." "So I just hope we get more of that because that's what racing's about. It's like back and forth, back and forth, rather than one take and then it's over. So I personally enjoy that." "My point that I was making earlier is that in karting, it happens in karting all the time, back and forth, back and forth, no one ever calls it yo-yo racing. It's real racing. So whoever's coming out with that is... yeah." [via Sky Sports | F1 2026 | Japan]](https://image.24vids.com/tw-2037052665197363254/amplify_video_thumb/2037052304843759616/img/zQqbW84jxfZi77af.jpg)
![UFO Revolution: S2E3 - 2027 and the Approaching Craft. Is it a Lie? "You're gonna be told that there is a craft on its way to Earth. That 100 f**king percent is the lie you are going to be told." ~Corbell (Well, I was not expecting this. And right now, I don't know what to think. But we all know it's been hinted at by various folks, including Lue Elizondo. So what's going on?) ~ Jeremy Kenyon Lockyer Corbell: "Your government now wants you to know one truth, and that truth is that UFOs are real. They've already done told you. Sometimes, when you want somebody to know a truth, it's so you can set them up to believe a lie, and that's coming. I have zero doubt that lie is coming." Producer: "What is the lie?" Corbell: "Specifically, you want me to say it right now, for real, real? On camera, to be put in the show?" Producer: "Yes." Corbell: "Okay. Problem with that: If we tell the lie before it's told, they can adapt. That wouldn't be wise. I'll tell you privately, but I would really think about if you want to put this in your show. For real. That's a real thing I'm telling you. So, will you think about it before putting it in your show?" Producer: "Absolutely." Corbell: "Okay. So UFOs are real, and they've been here a long time, and that's the truth. But the lie is coming. All indications, like ALL of them, is that that lie is going to be that there is a craft slowly making its way to us here on Earth. And that is the lie they're gonna want you to believe. "It's nuanced, how they explain that, the nature of that threat. But that 100 f**king percent is the lie you are going to be told. You even got a date. People been whispering a date for a long time now. I know where that lie comes from. I know, specifically, what document from the 70s initiated the idea of that lie. A classified document. That is the lie you will be told. You're gonna be told that there is a craft on its way to Earth. That's the lie. "Maybe I'm wrong. Hope I'm wrong. I sent you two texts today with a year (Messages showing 2027 are shown on a cell phone). Not from me. Nope, I'm not gonna propagate that lie. I'm not gonna be part of it, I'm not going to say it to the camera. Everybody knows. Just start paying attention. And they'll change the date - especially if they see this - things will change. Because maybe I'm trustworthy, maybe I'm worthy of your trust, maybe I've told you the truth the whole way through it and now and you can verify it. If that's the case, then I'm f**king dangerous. "You've been told the truth about UFOs for a long time now. It's been pretty orchestrated, it's been pretty clear, and it's using people that are telling the truth and wanna tell the truth. Ultimately, they want you to know something. They want you to know UFOs are real. Thank God, we're finally there, we're all there now. They want you to know the truth. But why [do] they want you to know that truth now. I hope I'm wrong, but it's terrifying. Think about it "Maybe it's good to get ahead of it, call it out now, before they do it. I'll be called crazy. That's okay."](https://image.24vids.com/tw-1880143123105698118/ext_tw_video_thumb/1880138001105498112/pu/img/JjRnZ34NSUJpmokS.jpg)
![[UAP], "were frying the equipment on the aircraft. Some of our most state-of-the-art technology." ~Luna (Note: Transcript is much longer than video clip below) 🤔 Luna: There Are No "Holy Shit" Videos That I've Seen That The Public Has Not 🤔 The 46 videos we requested, "have all now been declassified." ~Rep. Anna Paulina Luna "ALL 46 [videos] have not been released." ~Jeremy Kenyon Lockyer Corbell to Me (I'd like to get that clarified from Rep. Luna) "If they would release the things that I've seen, you would stay up at...you'd be up at night worrying about, or thinking about this stuff." ~Rep. Tim Burchett Press Office to Rob Finnerty And Burchett added that we'd, "come unglued." We also had this... "It was one of those moments where everyone in the room gasped. Everyone. Even the staffers who are like, the most skeptical people in the room just gasped when they saw that video. Because there's not a single aerial thing that can do something like that, that can pull that off." ~Rep. Eric Burlison (Has that video been released?) Compare that to what Luna said... Douthat: "Is there anything else out there (video-wise) that is like, a holy-shit moment?" Luna: "As far as a lot of the meat and potatoes that we've been able to see and gotten briefings on, it's, for the most part, been put out." (So nothing to keep us up at night or to make us come unglued, or...make us gasp. I appreciate her being level headed with that and not hyping it. So, what are Burlison and Burchett talking about? I have learned to see things for myself first before getting too excited about what others say about x, y and z. Some of those videos in the two releases ARE very interesting but nothing has kept me up at night or made me gasp. Do videos like that even exist? It's not the first time I've asked that question.) ~~~Extended Transcript from Segment~~~ Douthat: "You have had access, before these videos were released. In what context have you seen these videos before they were released? Luna: "So I went into the SCIF and...I went and actually observed and saw all the videos before they were released to go through, numerically, to make sure that those were the ones that correlated to the ones that we had actually put out in the request. So those have all now been declassified." Douthat: "All of the ones?" Luna: "Yeah, in the list." (Remember: Regarding the list of 46, Corbell told me that, ""ALL 46 [videos] have not been released.") Douthat: "But how did you get the list of videos in the request?" Luna: "We had a group that came forward, it was bipartisan, former whistleblowers from the intelligence community that had access to... I would compare it to something like YouTube that exists within the intelligence community. And they came up with the files, and they said you need to get access to these files and have them released. And so, before the order came out from the President, we had come up with this list. We had been getting push back, and then after [Trump] gave the green light for it, it was declassified, and those are now up and able to be [viewed] at the Department if War." Douthat: "And what do you think they show?" Luna: "Well, there's some interesting stuff. I think that they show UAPs. There has been one of the videos that has since been debunked to be actually the infrared that was picking up aircraft that was farther in distance, but the optics are kind of an illusion in that sense. So there's been one that's been debunked. But there are ones that they cannot explain. They've tried to cross-reference it with other data, and the way that these things are maneuvering are pretty wild. And so, again, I think that they show UAPs in some instances." Douthat: "Right. And you think that one reason to take this stuff seriously is that they correlate with direct-pilot testimony of the kind that you've heard, right. So it's not like, I'm just... Imagine the completely skeptical listener or viewer, of which there are reasonably many, who says, 'Okay, you have some number of videos, we don't know what they are, but if one of them turns out to be sort of some prosaic explanation, we can assume a lot of them will be.' So what else makes you think..." Luna: "In the specific incident of Eglin Air Force Base, which is where we had the pilot testimony and we were able to see some images, these things were frying the equipment on the aircraft. Some of our most state-of-the-art technology is getting completely fried." Douthat: "And this is something that pilots told you had happened to them? Luna: "Yes, yep. Now, the other issue is, sometimes pilots won't report because they don't want to be taken off flight status. So there's removing the stigma of if you're supposed to have safe flying. You want to also track national security issues. You have to be able to document this stuff. But when you have this type of stuff impacting military training, impacting flight operations, impacting our technology, it's a problem. "We should follow up, and then say, 'Okay, well, is this technology that, potentially, could be advanced tech from adversary nations? I don't, necessarily, think that's the case, because if that was true, we wouldn't be number one, currently. Some of this stuff that we're seeing is pretty wild. You saw the New York Times report (2017 and the Tic Tac ~Joe), and just how it's defying physics, if you will. But then the other aspect of, what can we as Congress do next? We can declassify. I don't think, you know, this aspect of people saying it's not enough..." Douthat: "Are there things that you've seen in a SCIF, or not in a SCIF, that are wilder than this (the videos that have already been released)? That would like, make the front page of the New York Times as, you know, no one can be skeptical anymore?" Luna: "No, I think the aspect of, do I have, you know, a location where there's a little green man on a slab in a fridge (laughs). I don't think I'm gonna get that (laughs)." Douthat: "Wait, we're gonna get to that. Just stick with the videos. Is there anything else out there that is like, a holy-shit moment?" Luna: "Well, I think that there's probably going to be some more release of other videos as well, other testimony. They're still combing. But, as far as a lot of the meat and potatoes that we've been able to see and gotten briefings on, it's, for the most part, been put out."](https://image.24vids.com/tw-2064130794973774042/amplify_video_thumb/2063015130917732352/img/1I_Up7yZ_LcHIuXv.jpg)
![Important: Who is Opposing the UAPDA? "It's staff! And it's like, who elected you? You were not elected!" ~Burlison "I cannot believe that I am sponsoring the language that Senator Schumer also is sponsoring." ~Burlison ~ Burlison: "We're trying to get UAP Disclosure Acts put on the National Defense Authorization Act. We are facing difficulties, and I mean, it's so frustrating, because it's not members [of Congress]. I don't, at least, if it is members, they're not coming to me and saying, 'Hey, I'm not allowing your amendment.' "It's staff! And it's like, who elected you? You were not elected!' I mean, for you to be able to deny an elected official whose...my job is to answer to the people, and you're gonna deny me the ability to get this amendment, at least even offered, is unacceptable. "And so, right now we're trying to get that made in order, so that when it comes to the floor, at least we get an opportunity to have a vote on the UAP Disclosure Act! And then you'll know who supports it and who doesn't. "But I've gotta get the Intelligence Committee to approve that. And, so any help, André Carson, would be greatly appreciated. If you could lean on our chairman and others, that would be fantastic, but we've gotta get it made in order. And if we get out of the House, I think that we're halfway there. "And then we'll...I think we've got allies in the Senate, whether it'. And I cannot believe that I am sponsoring the language that Senator Schumer also is sponsoring (laughter and applause). But what's right is right, and truth is truth. And we're all Americans, and that's why this is such a common-sense thing. And the only thing that's gonna stop it is these staffers who are killing things behind the scenes in the cover of darkness. And so, that's what we're facing right now, so your help getting vocal on this is probably the only way we're going to get it done."](https://image.24vids.com/tw-2070162401438441510/amplify_video_thumb/2070159937926496257/img/xshHdJR5VTlgVc3C.jpg)