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Full Video can see on my VIP page A sunny morning in Munich ☀️ It's wonderful weather and I have the perfect dress for it. I slip into my sexy patent dress, style myself and head out to the city. I love it when the sun's rays warm up my body. What do you think when you look at this update. Do you feel this warmth too? Do hot thoughts come up inside you? Sit back and enjoy. Your Lady Vanessa 💋
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![[ELLE MEN Talk] ☀️: Hello, #ELLEMENThailand. I'm #BRIGHT. Now we are with ELLE MEN Talk. ❓: Talking about summer, what is the first thing you think of? ☀️: Talking about summer, I think of hot weather. lol. I think of Songkran Festival. In summer, I always think of Songkran. ❓: A memorable moment in the past half year. ☀️: I actually travelled to many countries, met so many people, met fans in many countries, and met many talented people from various industries in every trip. I felt that it made me more open-minded, broadened my perspective, and allowed me to see the differences among them (different regions/cultures). ❓: For 'Holiday Summer', how would you like to spend your rest (relaxing/chill) time? ☀️: For me, during my rest time, I prefer to stay home. Esp. during summer, when the weather is so hot, staying home, turning on a cool A/C, having tasty food, and listening to music... ❓: Ways to rest or relax. ☀️: I think staying home. Turn off your phone; no need to pick up the phone; no need to be aware of anything in the outside world lol, and just spend time with yourself. ❓: The 1st thing you will do after taking a break from the online world. ☀️: Turn off the phone. It's one thing that I often do. Lately, I haven't known much about which way the world is heading or what is happening. But I think that makes us more peaceful, allows us to listen to ourselves more, not just go with the flow of the online world, be able to really listen to ourselves, what we want, what we really wanna do right now, smth like that. ❓: Hobby you're currently interested in. ☀️: Right now I spend a lot of time with music. Right now, almost everything I spend time on, almost all of it, relates to my work/project, bc it's a fun project. Listening to music, watching movies, going out to see arts/galleries or talking to people. In the end, it leads back to my work and inspires my work. For me, it's fun and benefits my work. That's my hobby right now. ❓: What do you prioritize when getting dressed to go out? ☀️: Weather, I think. I mean if it's so hot or so cold outside, it's gotta be weather. And, probably my mood on that day. Sometimes, if I want to look artly, I might wear clothes with colors that don't go together*. If that day I wanna look cool and confident, I may wear all black. I think it depends on mood and what I have to do on that day. ❓: This year's goal. ☀️: Probably to finally release the work I’ve been building up. Over the past two years, I've work in many projects and spent so much time with them. During this second half of the year, we will start to see those I've been working on and those I've been preparing and I'm very excited to have everyone seeing them. ❓: In the second half of the year, what projects would fans get to see? ☀️: The music projects and the project that I've been working on for a long time. You will get to see the first part of it. I'd like everyone to stay tuned. I'm really excited/thrilled [for you to see them]. (* Couldn't hear very well. Not sure if this is correct.) #ElleMenxBRIGHT #AudemarsPiguetxBRIGHT #RoyalOakOffshore #AudemarsPiguet #bbrightvc #BrightVachirawit](https://image.24vids.com/tw-2088872216775491990/amplify_video_thumb/2088854117884338176/img/MHdrqFFLzjjvLdDl.jpg)
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![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)
!["I'm telling the administration...that if they don't release those [videos I've seen], then I have the capabilities of getting those videos and releasing them." ~Burlison (Transcript and comments by me on one of my fav segments in a long time.) ~ Will Cain: "Missouri Republican Congressman, Rep. Eric Burlison, joins me now. Congressman, thanks for being with us here today. You and I, Congressman, I think we've had a very candid conversation together. We have both talked about the fact that I am open and curious about this subject of UAPs, but I do feel like we're at a place where evidence needs to start meeting expectations. What we've seen today, what does this tell us? Does this meet any expectation?" Burlison: "I think that there's...we have to take a step back and recognize the historic nature of this. Every president prior to President Trump has really demurred any kind of questions on this. They dismissed them, they would not talk about it. People would, if anything, snicker or sneer anytime this kind of subject came up. So the fact that we have a president who is open and willing and trying to be transparent is something to celebrate. "That being said, I think that this is a teaser, this is a kind of a, you know, something to open up with. This was the low-hanging fruit kind of videos and content for this administration to release. A lot of this has been...some of this has been out there before. It's not been acknowledged, right? So, you're looking at Apollo 17 video..." Cain: "I've seen the same thing said by Rep. Tim Burchett Press Office. That this is sort of the beginning, and there will be other releases that could leave Americans with a holy crap moment. I believe that's a direct quote from Congressman Tim Burchett." (This is what Burchett tweeted today: Burchett: "The 1st drop will be big but in comparison to what is coming they will be a drop in the bucket. I would say 'Holy Crap' is coming." I hope so. Or people are going to be upset that the videos and evidence didn't meet the hype, and you may see a lot of people losing interest in this topic. Last month, he told Elizabeth Vargas: “I’ve seen pictures and video of things that defy any reason that we have." ~Burchett And also last month, he told NEWSMAX: “If they would release the things that I've seen, you would stay up. You'd be up at night worrying about or thinking about this stuff... And for the record, I'm not suicidal and I don't take risks.” ~Burchett (That's some major hype there and, again, I hope future videos live up to it. I'm gonna guess that Burlison is NOT a fan of getting people's expectation up like that.) Cain: "My question for you, or the congressman, would be: Why? Why slow roll this out like it's a season of 'Game of Thrones'? Like, why would Episode 1 be somewhat uninspiring - leave us with more questions than answered - if there's something coming after the teaser? What's the point in staging the release?" Burlison: "So, again, this...just from talking with the White House and this administration, this is not an easy thing to do. There's not one huge repository of all of these documents and videos and photos. Despite what most people believe, they're really...at least we haven't found that one, you know, big repository. So what the Agency is doing is going and finding, first and foremost, the items that are readily available to be released. And they wanna be quick...move quickly and release those." (Okay, so they haven't located the best videos yet? Then what was Burchett shown? And if what he was shown is really THAT amazing, why haven't those videos or photos been released? Drip, drip? The excuse that they haven't been able to locate them yet doesn't hold water IF Burchett's take is accurate and they showed him SOMETHING that blew his mind and will blow our minds. Or, did he just hype it up and whatever he saw is really not that impressive? As I've asked several times in the past: Do these amazing videos actually exist?) Burlison: "I would ask you, would you prefer to have them wait for, you know, years, what would probably take years if they were to do a comprehensive study and then release it all at once, in one big batch? I would prefer that they release it as they find it, and I think that that's...this administration wants to be transparent and do that." (Great! How about releasing what Burchett was referring to in his interviews?) Cain: "My criticism is not for the decisions of the administration." (Well, if the Trump administration isn't releasing the best of the best videos that they already have in their possession because they're afraid of how Americans (and the world) might react (fear and panic), then they DO deserve some criticism, right?) Cain: "My criticism is for the expectation built by many out there that have these conversations, that there will soon be a bomb to drop when it comes to revelations about aliens." (Burchett, and then Rep. Anna Paulina Luna with her repeated comments about interdimensional beings. Luna: "...this is something you can go back and watch with the Congressional hearings - but I was actually able to ask some of the witnesses, 'What are these things?' And they keep saying interdimensional. "I wouldn't call them aliens. I really like what Grusch calls it. He says that they're interdimensional beings and he's very specific about that." Grusch has NEVER said that, nor has any witness who testified in front of Congress, so I have no idea where she's getting that from.) Cain: "And, if that's true, are we trying to prepare the American people with a slow drip, drip, drip tease of this stuff? If not, then Congressman, I would say, if this is all we've got, then I'm not sure that there's anything the American government really has that tells us anything about the existence of aliens? I'm just beginning to feel like this entire story is teased out always just beyond our reach." (That's why we need just ONE (for starters) clear and close-up video of an object performing maneuvers that we thought were impossible. And as of right now, we don't have that. I've said this many times. Does that type of video exist?) Burlison: "I can sense your frustration. I've experienced it personally myself. I've seen videos that I think are in the process of being declassified, so I think that there is more to come. If they're not going to be declassified, I'll probably do an effort to release them myself under Speech and Debate." (In short, the Speech or Debate clause says that a Senator or Representative can speak freely about anything, or share anything, in either house of Congress and have absolute immunity from civil or criminal liability. I'll link to an example in the replies.) Burlison: "But again, a lot of the footage that I've seen is similar to what has been released today. There's some that are pretty interesting, and especially given the environment and the circumstances of the videos. Whether they are videos of UAP that are flying around Russian submarines or a video of our aircraft that are firing on some of these UAPs? I've seen those kind of videos. And so I'm teasing that because I know that...I'm telling the administration, through you (Will Cain) at this moment, that if they don't release those, then I have the capabilities of getting those videos and releasing them." (How much better are those videos than what we've seen today?) Cain: "Can I say one more thing about this, congressman? I expect you and I will have much longer conversations like we have in the past, where we have fewer time constraints. But what I'm seeing here, and we're sharing today, and what's been released, there are probably hundreds, perhaps 1000s, of explanations for what we see on these video screens. They don't lead us directly to extraterrestrial or out-of-this-world explanations. "Is there something else? Is there some other proof that you've seen? Is there a more compelling video that can't be described or explained as a drone or a light refraction or any other thing. Again, I'm not cynically dismissing these things, as I've always mentioned to you. I'm open and curious. I just don't think the evidence is meeting the moment." (I agree with Cain. The government-released or government-acquired footage just doesn't get us over the hump with the masses and skeptics.) Burlison: "I think you and I are at the exact same place. I continue to look for these things and try to follow the narrative that people are saying. Follow the historical narrative that we have a crash retrieval program, and this is the kind of information I keep getting presented. It doesn't mean that we don't stop looking." Cain: "Fair." (If we have recovered craft and bodies of non-humans, and it can be PROVEN, then these videos from today will be forgotten instantly.) Burlison: "And I have...and so the White House and the ODNI is looking for the next places to go investigate. And I think that...and they've actually been open in asking me where those next places should be, and so we're offering..we're gonna be working to offer those locations. A lot of this, Will, is gonna be in the hands of these agencies that are quasi-private or private companies, and that's gonna be a harder dig for this, for this administration to do, but that's where I think we're gonna get to the truth." (Let's start with the "holy crap" videos Burchett hyped and saw and see if they are as good as he's claiming.) Cain: "Well, to his defense, the President hasn't made big promises about what this would reveal. I don't think I can say that about everyone who purports to have seen something that there are big revelations, and so far, the evidence in the videos haven't met the promises. I do hope we continue to see more, congressman. I hope you do fight so we can see more. Obviously, transparency and answers is what we're seeking here on what would be a gigantic issue. Congressman Burlison, thanks, as always, for your time." Burlison: "Anytime."](https://image.24vids.com/tw-2052883224360268226/amplify_video_thumb/2052858049346588672/img/orKO2FR28wwc7S1J.jpg)
