Juno going 💯% chuggin' in Mei's 👄 SFX PACK:OpenNSFW 🟣 Available Now HentAudio 🇺🇦 🟢COMMS OPEN🟢 Juno & Mei ⭐Gemini Starsign⭐🔞🎙 Audio work LewdSound V2🔞🔊(COMMISSIONS OPEN) (check out my pAtr0n for more early anims)
535,302 次观看 • 3 个月前 •via X (Twitter)
0 条评论
暂无评论
原始帖子的评论将显示在这里
相关视频
0:46
Sensitive content
Helen is FURIOUS that Violet would ever claim their asses are equal, so she get Tony to be the deciding voter on who has the bigger ass! (Violet is 18+) 🎨 = Jay Marvel 🎙️ = ☁️💫Chloe Angel💫☁️ (Helen) & Marina 🔞🩵 (Violet) 🎵 = PlumEnjoyerSFX (Using HentAudio 🇺🇦 🟢COMMS OPEN🟢, LewdSound V2🔞🔊(COMMISSIONS OPEN) & OpenNSFW 🟣 Available Now SFX packs
Crimson Crow VA (Commissions Open) 🔞
126,274 次观看 • 2 个月前
0:46
Sensitive content
Helen is FURIOUS that Violet would ever claim their asses are equal, so she get Tony to be the deciding voter on who has the bigger ass! *3D RENDER VERSION* (Violet is 18+) 🎨 = Prevence🔞 (Happy Birthday!!!) 🎙️= ☁️💫Chloe Angel💫☁️ (Helen) & Marina 🔞🩵 (Violet) 🎵 = PlumEnjoyerSFX (Using HentAudio 🇺🇦 🟢COMMS OPEN🟢, LewdSound V2🔞🔊(COMMISSIONS OPEN) & OpenNSFW 🟣 Available Now SFX packs)
Crimson Crow VA (Commissions Open) 🔞
74,391 次观看 • 2 个月前
0:29
Sensitive content
A PHOS AND JUNO COLLAB??? WHO WOULDA THOUGHT VA/EDITOR/ANIMATOR🎙️/💻/📽️: @JunoTheGoblin VA🎙️: 🔞PhosphorusVA | NSFW Voice Actor | DM For Booking ART🎨: bittenhardly 🔞 COMMISSION💸: It’s Ham, After Dark🔞 SFX PACK🎵: HentAudio 🇺🇦 🟢COMMS OPEN🟢 #NSFW #furry #porn
Fumio Bukita 🔞 (COMMS OPEN)
77,994 次观看 • 2 年前
0:23
Sensitive content
Tsu' ass is so BIG even Miruko is shocked at it's MASSIVE size!!! 🎨 = 🔞: EvilZoultan (YCH COMMISSIONS!) 🎙️ = Starlie Skye🌟 🔞 | Comms OPEN + Voice pack! (Tsu) & ⛧♱ Coco Kymmie ⛧♱ (Miruko) 🎵 = PlumEnjoyer (Comms Closed) (using HentAudio 🇺🇦 🟢COMMS OPEN🟢, Lewd K. & OpenNSFW SFX packs)
Crimson Crow VA (Commissions Open) 🔞
84,442 次观看 • 1 年前
![Future Trunks Defeats Androids 17 & 18 [HD]💥1080Pee🔥 *NEW* Original Funimation w/ Bruce Faulconer Audio ✅ (Good Version)✅(Not KAI)🤮 🚨 Copyrights ©️ Akira Toriyama, Toei Animation, and Bruce Faulconer. ⚠️🔫👮 All 291 episodes of DragonBall Z are available to stream in [HD] quality on Crunchyroll.🐉🟠 / Subscriptions start at $9.99/mo 💻🖱️ Visit for more details 🖥️ Bruce Faulconer's #DBZ discography is available on Spotify. 🎵🟢 (on Mobile, it may bring to a screen to hit play, then 'Get the App'. If Spotify is Installed, 'Get the App' should automatically load both for you.) 📱 ⚠️These [HD]💥1080Pee🔥 edits as they are presented are not available for Television currently. 🚫📺 This is a FANMADE re-imagination of what our childhood 'could be' today. 🤔 Our 'DragonBall Z' has not existed for almost 20 years, we are forced to rely on old physical media and internet archives to watch it.😭 👈 In the Pee Universe, #DBZ never peaked, it's still going strong in 2026 too!🏁 Bruce Faulconer officially became canon in the Pee Universe on 08/06/2026. See Bruce's Goose's below if joining the Pee Warriors, might be for You. 📋 I'm just a fan like you are. 🫵 (🚫NO AFFILIATIONS🚫) 🛑 Now that's out of the way, I think I'm going to re-vamp my edit postings. Everything posted at 5:00PM EST. NEW edits will still be posted on Tuesdays and Fridays. But 5PM EST consistently for work schedules. ONE PER DAY 4 Replays - 3 New One is a *Surprise* New edit every week before 5PMEST. Over 1/3 of you are not from the United States, so I'd like to treat you guys as well for being here. This was another suggestion taken from a follower, it turned out amazing I hope you enjoy!](https://image.24vids.com/tw-2088900357782901104/amplify_video_thumb/2088897486882488320/img/qd73113E7qo9Cy5-.jpg)
!["Expecting rebuttals to remain confined to journals, while misinformation spreads freely online, is neither realism nor appropriate. If something is promoted in public, it must be corrected in public." ~Proctor's Response to Coulthart (Why am I spending more time on this? American Alchemy's video on the mummies has 904,000 views. @incredhistory's video has 5,500 views. The original, sensationalistic claims always do MUCH better than any evidence that is presented later that throws cold water on said claims. That's always been an issue. That could change if Jesse makes a short video on his YT channel right now, linked to the @incredhistory video, and implores his viewers to watch it with an open mind. And/or if he pins a tweet linking his X followers to the "Incredible History" analysis.) "At one point in time, I was truly wondering if these [mummies] were a new species." ~Accused Debunker, Will Brown 🙂 "It's just too early, yet, for me to make any kind of definitive statement about what I think about these objects." ~Ross Coulthart (After watching the new video by "Incredible History" and the interview done on "Weaponized," it's not too early for me (and MANY other people) to say I believe they're fake. Others felt they were fake right from the start but I wanted to wait for more evidence. We have that now. From yesterday's "Reality Check" with Coulthart and Meagan Medick.) Coulthart: "I think (the new @incredhistory video) is important. It raises... I've actually been in touch with the gentleman who made it, Will (Brown), and I'm hoping to some stage, talk to him. And I'd like to include what he says in any analysis that we do on NewsNation about the tridactals." (Who are the experts featured in the new "Incredible History" video segments that I clipped below? Dr. Daniel Proctor (Galaxopithecus), "has a PhD in bio-anthropology. Specifically, his area of focus is the hands and the feet. He has published papers on the evolution of the hands and the feet, including focusing of the ability to grasp." Dr. Joseph A.P. Wilson (Joseph A P Wilson), "earned his doctorate in anthropology from the University of Florida. he's current lecturer in archeology at the University of Massachusetts Amherst, and part time lecturer in anthropology at Fairfield University. And more importantly., before academia, he worked as a molecular genetic technologist at Greenwood Genetic Center in South Carolina." Michele - Mrs Anthrope (Radiographer) - Mrs. Anthrope The descriptions of their credentials is from the "Incredible History" video which I clipped a few segments from and included below.) ~More from Reality Check~ Coulthart: "We've filmed in Peru, and we've spoken directly with the doctors there. As I said in social media commentary that was posted before I left Peru, it's just too early, yet, for me to make any kind of definitive statement about what I think about these objects. I'm very careful not to even say, beings." (Again, after the seeing the "Incredible History" video, it shouldn't be too early to offer up a new opinion.) Coulthart: "I certainly got the impression from the CT tomography scans that they seemed like intact beings of some kind. But frankly, I'm not an anatomist. I'm not an anthropologist or anyone with any kind of experience in a scientific analysis of these beings. And I think we'll have to go with what good science says. And all the way through in this, what the scientists in Peru have told me, and what the scientists in America and indeed in Mexico have told me, is they want independent review. They want independent assessment. "And I guess what I'm a little worried about is the partisan way, the way that on UFO, UAP, Twitter, social media, people take their positions and adopt in a definitive position once and for all. This is a hoax, or this is real. Frankly, I just don't think we know enough right now. I don't think you can base a final conclusion on an analysis of a couple of bones in one alleged being's scans. I've heard arguments two and for." (With the new information, it's NOT "partisan" and I am NOT saying "once and for all." But I think the arguments for fraud put forth by "Incredible History" are pretty damning and are enough to show anybody with an open mind that there are massive problems with the hypothesis that these are non-human beings or...hybrids of humans and non-humans. It appears to be a done deal: aka Fake.) Coulthart: "What I think will be definitive, and I'm aware that there is a DNA analysis underway at the moment. I don't know the name of the institution in the United States that's doing it, but there is some kind of DNA analysis underway, which will hopefully provide us with more answers as to the genetic origins of whatever these objects are. And that should be coming out sometime this year, hopefully fairly early up. "Until then, yes, I do think that we should acknowledge that there's been some great work done to raise, I think, serious questions about the legitimacy or the authenticity of the beings or the objects, but let's keep an open mind and let's reward and applaud good science where it's done. "This isn't like some kind of wrestling bout. You know, there's not a winner or a loser." (The credibility of the non-human subject is in danger of being set back because so many people in this community want to believe so hard and will ignore anything that goes against those beliefs. If these, apparent, hoaxes are not called out and done so, forcefully, we're all going to lose.) Coulthart: "Science is an iterative process where people basically do an analysis and make an assessment. Let's make those assessments, do the independent work, make sure that independent scientists with rigor get peer reviewed and checked and assessed, and then we can come up with a judgment. "I think the real tragedy would be if these are, potentially, if they are significantly important objects that have, basically, been procured as part of Peru's natural, cultural, significant history, it would be really tragic if, because of a sweeping assertion that these are a hoax, that the entire thing is not taken seriously. I'm not so sure I can dismiss it out of hand just because of this latest debunk, but I'm very, very happy to let independent, rigorous science do the do the guesswork and do the analysis." ~ (Will Brown (@incredhistory) responded to Coulthart's take via a reply to Meagan Medick's post.) Will Brown: "Curious why you all didn’t give the same reaction to Jesse Michel's (Jesse Michels) bold proclamations in a video that received 200x the views mine did on YouTube? "Similar question for Jay Anderson’s (Jay Anderson) 'scientific proof' video which has 10X the views? "Perhaps it’s because those videos don’t throw a wrench in whatever it is you are working on? "…any and all documentaries and books moving forward should include Steve Mera's testimony about what’s actually going on in Palpa." ~ Will Brown: "Hey Ross Coulthart, I’m hoping you’ll correct yourself here. In this video you stated we only looked at scans for one of the 'beings.' That is false. The video covers Maria and Monseratt. The Podcast with Jeremy Kenyon Lockyer Corbell and George Knapp adds Paloma in addition to Maria and Monseratt... All of which have multiple signs of manipulation on hands and feet. "You told me you watched my video…you even said you thought it was excellent and that it brought up legitimate concerns. "Did you actually watch the video? "Your statements today make me believe that you didn’t watch at all." ~ (And here's Dr. Daniel Proctor's (Galaxopithecus) response to Coulthart, and others, who are holding out hope for new DNA analysis.) Proctor: "I want to respond to Ross Coulthart’s recent caution that we should be careful calling the Nazca mummies a 'hoax' because they might represent cultural heritage, and to his claim that DNA should be more definitive than anatomy. "Respectfully, this framing gets the issue backwards. "First, there is nothing new here. 'Maria' was introduced nearly a decade ago. She did not appear last year, or this year, or as some sudden scientific revelation. She has been circulating since roughly 2015–2016, and in that entire span she has never been properly documented in reputable osteological, archaeological, or forensic journals. There is no provenience, as they allegedly come from a cave from an undisclosed location. No controlled excavation, no chain of custody, no standard reports of any nature, and anonymous discoverer. "What we are actually seeing is a slow drip of bodies, which are always sensational, always just beyond proper access, always promoted as revolutionary, and always somehow unable to withstand normal scientific scrutiny. That pattern is not accidental. "Second, anatomy is not secondary evidence. "The idea that DNA should be privileged over gross anatomy in evaluating human remains is baffling. Anatomy is primary data. Bones do not lie about how they articulate. Hand bones do not mysteriously relocate into feet. Developmental biology places hard constraints on what a viable organism can look like. "DNA can tell you what tissue something came from, within the strict parameters for which the tests have been designed. No mainstream lab has tests for some hypothetical 'alien' DNA. "Anatomy tells you whether the body ever existed as a coherent organism. In this case, the anatomy alone demonstrates fabrication. That is not speculative. It is observable. "Third, the cultural-heritage argument is deeply ironic. "The Nazca mummy trade, because that is what this is, destroys real cultural heritage. Looting graves, ghoulishly disarticulating bodies, recombining bones, and fabricating specimens for sale and spectacle is the opposite of preservation. Calling attention to that destruction is not disrespectful, on the contrary, it is necessary. "We have seen this playbook before. The commercialization of mummies, the alienization of cranial modification, and the recycling of colonial myths about 'non-human' ancient peoples. 'None of this is new. 'What is new is the social-media amplification. "Which brings me to Ross’s discomfort with debunking (or defending) these claims on social media rather than in scientific venues. "Here’s the problem: this hoax does not live in scientific venues. "It never has. "It lives on YouTube, on X, on press conferences, in podcasts, and in staged congressional spectacles. It is an argument of persuasion, not evidence. Expecting rebuttals to remain confined to journals, while misinformation spreads freely online, is neither realism nor appropriate. If something is promoted in public, it must be corrected in public. "Finally, caution cuts both ways. Being 'diplomatic' toward a hoax that incentivizes grave robbery, fuels pseudoscience, and misrepresents Indigenous pasts does not protect heritage. It only enables its continued destruction."](https://image.24vids.com/tw-2010860470128062975/amplify_video_thumb/2010860334178058242/img/qeRHqrotcykdoz6v.jpg)
![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)
![🚨What is she carrying? Part 2⁉️ Depending on your AI platform preference … we get either a $40,000 handheld X-ray device or a $40 thermos-and-lunch-bag cooler combo? What was your conclusion, and which was right? When we first came across this video months ago, I immediately said it looked like she was “carrying a lunch bag,” or some kind of cooler. But for whatever reason, and what we were more focused on at the time, we didn’t spend the hours and hours and hours required to drill down on those few seconds of video. Not until this week. Tons of social media critics say I should “just release everything we know, and let the truth fall where it may.” But that’s how we get in trouble. And we HAVE gotten things wrong in this five-year-long investigation. EVERYONE has made mistakes. Left and right media, major legacy media, alternative media, and even the best of the independent journalists have made mistakes or misreported details of the January 6, 2021 event. Whether on purpose, by accident, or careless disregard of the truth … you can be the judge of each incident. I’ve explained on numerous occasions that we’ve spent more than a year researching, investigating, and preparing some stories before going public. In this case, when we finally started looking hard at it, the Brave New World of AI took us on a wild goose chase. We now have good reason to finally drill down on the timelines and available video leading up to the sequence of events on the night of January 5, 2021 … the night before the discovery of the two “devices” at the RNC and DNC headquarters. When inputting into AI that first video — which I posted last night — It began spitting out some shocking alternatives to my original “lunch bag” assumption. Unprompted, the AI drew its own conclusion about what Ms. Kerkhoff was carrying, probably because they were “cops” in the video. To be clear, UNPROMPTED, AI was initially adamant that the item in her hand was a portable X-ray device for sniffing out narcotics, weapons, and explosives. Even some The U.S. Capitol Police sources we shared the video with said the same thing. Other Capitol Police sources were more skeptical. Then, suddenly AI wasn’t so sure. As I mentioned last night, in my second post, X’s Grok and Google’s Gemini were arguing with each other. Gemini was shockingly specific: “The item being carried by the officer in that CCTV footage matches the exact structural form factor, top-handle position, and multi-point shoulder strap design of a Viken Detection HBI-120 Handheld Backscatter X-Ray Imager … Rather than being transported bare, it is housed in its specialized tactical, weather-resistant soft deployment carry case.” Wow. You can imagine how that hit like a bolt of lightning, considering whom we were looking at. Grok was less committed, offering varying possibilities ranging from a “paper takeout bag” to all manner of sophisticated law enforcement-used electronic devices. When I pitted Grok against Gemini — and vice versa — Gemini dug in its heels, saying: “Based on the visual evidence in the video and the analysis circulating in response to Steve Baker's query, the device carried by Officer Kerkhoff is almost certainly a Viken Detection (formerly Heuresis) HBI-120 in its tactical soft-carry case. While officially unconfirmed, the visual and structural match is highly specific.” Grok countered: “The competitor [Gemini] write-up describes that pouch as if it were a catalog item with a unique layout, then maps the CCTV blob onto it and calls it an ‘exact’ match. The citations in that text are HBI-120 product pages, not photos of a factory soft case that looks like this bag. That is overfit. Size class + top handle + ‘looks tactical’ is not an identification of an 8-pound 120 keV imager. Could an agency have put an HBI-120 in some aftermarket or unit-made padded bag? Yes. Does this video prove that? No.” But Grok was also an absolute mess in describing the basic video scene itself: “A gray-haired person in dark clothing walks in from the left carrying a dark bag by a single top handle. Papers or a light object in the other hand. Two uniformed officers come down the ramp. They meet. Later two officers walk the sidewalk; one has a light-colored item (bag or papers), and a dark bag is still in the scene. Someone else walks away across the lot with a bag.” Huh? Anyway… Gemini didn’t like what it called “The Thermos Theory”: “Soft Lunch Coolers typically use flexible nylon webbing straps or soft padded handles that pinch or deform when lifted. The handle in the video does not appear to ‘pinch’ like a soft strap; it remains an open loop. This structural rigidity strongly favors the Viken device (or a hard-shelled case) over a soft lunch bag.” Grok’s conclusion: “On evidence quality, the Viken ID is the weaker of the two. It is possible in the abstract and unsupported as a positive ID here. The honest read is: dark soft top-handle bag, lunch-cooler to small-kit size, contents unknown. Anything more specific needs a better frame, a still of the bag on the ground, or provenance outside this clip.” Gemini’s conclusion: “This single frame is ambiguous due to the blur and lighting (reflection). However, the rigid, non-deforming handle visible in the officer's grip is a mechanical characteristic of the Viken HBI-120 (or similar heavy equipment) and is inconsistent with the flexible straps of a standard soft lunch cooler. While the "silver" glint is a point for the thermos theory, it is plausibly explained by the Viken's glass screen or case window. Verdict: The structural analysis (rigid handle) still favors the heavier equipment (Viken) over a standard soft lunch bag.” So, depending on your AI preference … we get either a $40,000 handheld X-ray device or a $40 thermos-and-lunch-bag cooler combo? But there is more evidence in the alternate video angles available. (That I now present below.) They seem to confirm with the ‘human eye’ that Ms. Kerkhoff is carrying a metal cylinder (possibly a thermos) in the same hand as a soft-sided lunch bag cooler. Though the design conflicts with the common thermos handle configurations of most known cylinder thermoses. (Photos below.) And we've not been able to get an accurate hit on the so-called "lunch bag" with that specific handle and strap configuration. And THAT is why you don’t just “release what you know” without seeking every possible video angle and expert opinion. That is why we didn’t run to print with our original November 8 story on the OG topic without first taking it to a government intelligence agency and professional investigators for review. That is why so many bad theories about January 6 still abound — five and a half years later — because they were based on a single camera angle, when years later, the same scene was revealed to have been captured from multiple angles that change reality 180 degrees. This is exactly why all CCTV footage — not just from January 6, but also January 5 and 7 — still needs to be released to the public. When Speaker Mike Johnson authorized Rep. Barry Loudermilk's old investigative subcommittee to begin uploading CCTV footage to a Congressional Rumble channel, we were elated. I had already spent many weeks in the Capitol CCTV viewing room in D.C. The travel, the expense, and the scheduling hassles with the committee made it nearly impossible to spend the amount of time required to prepare any story correctly. Not only to view and harvest what you were looking for, but also to sift through far more than the infamous “41,000 hours” of footage. Congress made more than 1,800 cameras' worth of footage available, and ten total days of footage. That’s hundreds of thousands of hours of potentially useful footage to review. An impossible task for any one person or media organization to review if Congress didn’t make that footage directly available to the public. But they didn’t finish the project. Tens of thousands of vitally important hours from both January 5 and 6 were never uploaded to the Rumble page. Additionally, my team has made specific requests for curiously missing gaps in footage throughout that two-day timeline. In an arrangement made with the Committee, they had originally been very good about getting us the footage from the specific cameras and timestamps we requested. That suddenly stopped when the new Congress and Loudermilk’s new J6 investigative subcommittee took over in January of 2025. Joe Hanneman and I have made innumerable requests — REPEATEDLY — for missing and/or unreleased cameras and timestamps specifically related to the pipe bomb investigation. Despite being told — REPEATEDLY — that they would provide the requested footage, they never did. Something happened. As I’ve reported several times in the last few months, the Capitol Police were finally and successfully able to shut down Loudermilk’s subcommittee investigation into ALL THINGS related to the Capitol Police. They did this only with the complicity and surrender of Speaker Johnson and Judiciary Chairman Rep. Jim Jordan to Capitol Police leadership’s demands. On that note, and in conclusion … there are eight full hours of missing footage from January 5, right in the middle of the day. ALL CAMERAS are missing. These are important hours for what we are tracking. We can see Ms. Kerkhoff arrive at Capitol Police HQ early in the morning to clock in for her shift, but she is not carrying her “lunch bag and thermos” when she arrives. Her car is parked two blocks away, and is in the same parking spot at the end of her day. We can see her leave HQ late in the day (as I’ve documented in the last several posts on this page) with other officers and go to the Fairchild Building. Only to return some half hour later carrying that … thing(?) … and only to spend 45 seconds in the HQ to “clock out” from her overtime shift. We’re still missing vital video footage that both Speakers McCarthy and Johnson promised the American people. Including certain cameras deliberately withheld at the RNC bomb drop location, and other cameras with mysterious gaps at the most important of moments. Do the other video angles here prove that either Grok or Gemini was right, or does the X hive mind have better theories on what Kerkhoff is carrying? How about that high-definition CCTV camera that is right inside that west side door at Capitol Police HQ, with good lighting? They should release that video to us. A $40,000 bomb detection device or a Walmart thermos and lunch bag? I’m good with either. The truth is what we seek. But we should be able to see ALL the footage. Including all Capitol CCTV cameras and footage from January 6, and the days immediately preceding and following. Including the 39,000 video files the FBI claims to have in the entire J5/J6 pipe bomb investigation. Conspiracy theories are born and fester precisely because the government isn’t transparent and purposefully keeps the People in the dark. Then the lawyers who control government make billions from the legal aftermath. (More Photos in the thread below.)](https://image.24vids.com/tw-2094421342586044718/amplify_video_thumb/2094419261796077568/img/wP9SAk3OAQ58oFvt.jpg)
