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MJ Wardlow (Trinity Valley) High IQ guard. Plays fast—quick, explosive, deep range. Finds open teammates and makes the right read. Offers: SFA, Louisiana Tech, New Orleans, Jacksonville State, WKU. mj
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![Player Profile: Khanyisa Mayo[27]📝 Position: RW/RF/CF Foot: Left Club: Kaizer Chiefs FC Kaizer Chiefs has made another bold move in adding quality to the teams attack. Khanyisa Mayo provides immediate and long-term attacking solutions for the club on the right. 1. Technical Qualities Mayo is a skillful, left-footed attacker with a profile built for modern, high-intensity attacking football. ■ A very direct winger, always looking to advance play instead of recycling possession. ■ Excellent at carrying the ball through pressure, breaking lines, and forcing defenders into retreat. ■ His dribbling and progressive runs add verticality to the team’s attacking structure. Shooting and Passing: ■ Strong shooting range when cutting inside from the right. He provides that unpredictability to the attack with his quality to strike the ball from range. Consistently attempts to feed the box: goals, assists, and key passes. A finisher and creator between the lines. Positional Versatility: ■ In a 4-3-3/4-2-3-1, his best role is as the right forward or right winger, cutting inside to shoot or combine. He can also be effective stretching play and still carry goal threat and creativity. ■ As a No. 9: While not his best role, he is capable of leading the line. He uses his pace to run in behind. He can compete but lacks the physicality to hold off defenders, though his finishing is good. ■ As a Second Striker[442]: A role that plays better to his strengths than as a 9. He is comfortable operating between the lines, combining with midfielders and a traditional box striker. His mobility, creativity, and shooting ability allow him to function as the link player, collecting the ball, supporting the primary striker, and creating or finishing opportunities. This ability to operate both wide and centrally makes him tactically flexible, giving Chiefs options in various attacking structures. 2. Physical Attributes ■ Pace & Explosiveness: Quick acceleration makes him a constant outlet for balls in behind. ■ Strength & Balance: He is strong enough to hold off fullbacks, sustaining attacking sequences under pressure ■ High Intensity: Matches the tempo of Chiefs’ pressing and counter-pressing game. We do most actions with a lot of intensity, and his explosive nature will be very much welcomed in our attack. 3. Tactical Fit at Chiefs Under Coach Nabi, Chiefs are shaping into a side that plays with directness, intensity, and aggression across all phases of play: ■ Pressing & Counter-Pressing: The team applies immediate pressure after losing the ball. Mayo’s speed, defensive work rate, and forward momentum align seamlessly with this system. ■ High-Tempo Attacking: Chiefs don’t rely on slow possession. Attacks are vertical, sharp, and quick. Mayo’s instinct to drive forward, dribble at defenders, and attack space makes him an ideal fit. ■ Attacking Personality: His ability to provide not just progression but also the final goal, final pass, and decisive action elevates Chiefs’ attacking efficiency. Mayo’s game is inherently aligned with protagonist football: high tempo, forward intent, and productivity. 4. Experiential Value ■ Continental Experience: Spent a season in Algeria with CR Belouizdad, scoring 6 goals from wide positions. Notable not just for the numbers but for adapting to a challenging cultural and tactical environment. ■ Tactical Growth: North African teams are disciplined and organized, with compact defenses and structured pressing. Mayo sharpened his decision-making, spatial awareness, and ability to operate against tight blocks, preparing him for high-level CAF competitions. ■ Mentality: At 27, he blends maturity with hunger. His willingness to take risks reflects confidence and attacking intent. Yet to reach his peak, now is the perfect time to step up, showing the quality glimpsed at Cape Town City. Mayo joins Chiefs as both a system player and a game-changer. A top signing by the Glamour Boys! 📝](https://image.24vids.com/tw-1964381677679235203/ext_tw_video_thumb/1964381469373083648/pu/img/B9XjWtbknzBvw3Dw.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)
![Good morning. In November of 2024, I laid out why Brian Tully, Kate Peter, and Jason Broyles leaked an unredacted 15-year extraction of Lindsey Gaetani's phone. I didn't want the world to listen to me. I wanted someone, somewhere, to protect Lindsey. I can finally breathe. Here is the full text of my report (that now has 700,000 views); Okay, fine, as a special treat (on this, the day of oral arguments in the #KarenReadTrial appeal), I will lay out some of what I am thinking as to the timeline of events between August of 2023 and the spring of 2024. You are going to get a lot of inside information in this post. You have been warned. In the fall of 2023, via a woman named Natalie (who was friends with Karen Read and enjoyed talking about houseplants with Karen), I believe the Commonwealth of Massachusetts came to be in possession of evidence indicating that Read and blogger Aiden Turtle Boy Kearney were conspiring to intimidate witnesses in Read's ongoing criminal trial related to the murder of John O'Keefe. See the evidence of that contact (which started in April/May of 2023 --because of Natalie-- and occurred directly with Read and via Read's lawyers, David Yannetti and Alan Jackson) here - As a result of this information being uncovered, I believe the Commonwealth then began targeting Mr. Kearney with criminal charges related to witness intimidation in the context of Read's criminal trial (Kearney had been organizing, with Read's help, rallies at the homes of witnesses in the case and running smear campaigns to poison the jury pool in the lead up to Read's trial). I believe the intent of this targeting was multifaceted but, primarily, involved the following: 1) Getting Kearney to stop his abhorrent behavior related to witnesses in Read's case (which included, in some cases, Kearney's followers putting semen on pictures of witnesses' children and then sending those pictures to said witnesses, as explained here - 2) Placing criminal charges on Kearney in an effort to pressure him to "flip" on Karen Read and, in turn, testify that Read did, indeed, order the witness intimidation in question via a conspiracy. Kearney, when he was eventually jailed in late 2023/early 2024, confirmed that such an offer was presented while he was incarcerated. 3) Getting information for the Massachusetts State Police, and the Norfolk District Attorney, as to the nature of an ongoing federal probe into the conduct of those departments (an investigation which, in time, it turns out had moved on from investigating John O'Keefe's death and, in turn, evolved into a probe of a potential cover-up of the death of Sandra Birchmore). Read more background on that complex situation --involving two Troopers assigned to the Norfolk DA, who also worked on the Read case, that signed off on a "misleading" state-level police report into Matthew Farwell-- here - At the same time, and in furtherance of those investigatory activities, I believe the State Police began working directly with a former colleague of Aiden Kearney, a woman named Kate Peter AKA MafiaMasshole who has a small online cult following related to humiliating First Amendment Auditors (which, admittedly, is noble work). What may have not been so noble (along with Peter taking cash in a Chick-Fil-A parking lot for her "efforts" on behalf of some wealthy witnesses in the Read trial), however, is that --as Mr. Kearney became the subject of police investigations related to the aforementioned witness intimidation-- the Norfolk DA announced to the public that a Special Prosecutor would be appointed to oversee those charges (because of the numerous allegations of corruption that Kearney had made towards the DA in public). That Special Prosecutor, Ken Mello, was nonetheless assigned to work with the same State Police Trooper (Brian Tully) who worked on the Read case and who reported directly to the Norfolk DA at the time. And, furthermore, I believe the State Police and the Norfolk DA, via Brian Tully, also around this time (fall of 2023) began working directly with Kate Peter (who, for some time, was working for a Private Investigations firm with ties to a number of figures in the orbit of the Read case) in order to obtain evidence against Mr. Kearney, seek out and catalog information from sources close to Mr. Kearney and, in some cases, even help draft parts of Mr. Kearney's eventually October, 2023, criminal indictment. However, what I think the State Police (and the Norfolk DA) did not know at the time was that Aiden Kearney was working as a confidential federal informant, specifically looking into allegations of civil rights violations against said State Police, since at least May of 2023. Furthermore, I also think the State Police were not aware that it was Karen Read's lawyers, Alan Jackson and David Yannetti, who had the necessary connections in order to help Kearney obtain that status. Read more here - That said, at the same time, when Kearney was initially brought on by the federal government in May of 2023, in my view, I don't think the DOJ was finished looking into the death of John O'Keefe. In fact, I think the DOJ pulled out an old FBI tactic (which I can confirm exists) and, after the US Attorney for the District of Massachusetts wrapped-up the O'Keefe probe in the fall of 2023, Kearney was encouraged by the FBI to use his coverage of the Read case to generate leads related to other misconduct by the State Police unit attached to the Norfolk DA (in particular Brian Tully). Read more about that FBI playbook here - Indeed, that timeline perfectly synchs with a recent announcement by US Attorney Josh Levy indicating that the federal probe of Sandra Birchmore's death began in, roughly, August of 2023. See more background on Birchmore's tragic life and death here - Nonetheless, because of Kearney's ongoing work for the federal government in the fall of 2023, and because the State Police did not realize this was happening (although they should have been able to put it together, because Kate Peter and Kevin from Yellow Cottage Tails for sure knew, as early as May of 2023, that FBI agents were calling around, on behalf of Kearney, related to ongoing criminal cases entirely removed from the Read trial) I believe said State Police, stupidly, committed some of the very civil rights violations that the FBI was looking for. I believe the State Police did this, in particular Brian Tully, by way of his relationship to Kate Peter. [Side note: I will always remember talking to Kate, over winter and spring of 2024, and explaining my firm belief that Aiden Kearney was an FBI agent. Peter simply could not come to terms with that reality, despite having been the person who called the FBI back in May in order to confirm the agency was poking around some of Kearney's criminal cases, and, in that moment, I knew that pride was, indeed, about to cometh before her fall.] And, indeed, I also think Karen Read, herself, was well aware that the federal probe into John's death had ended in the fall of 2023 (for the most part) and that, in turn, the feds were going to move on to other serious allegations of corruption related to Tully and his unit at the State Police. However, for many reasons, I think Karen was happy to let the FBI (and TurtleBoy) use her trial as "cover" to get more information, and leads, related to said Troopers (this was, after all, the very same unit that had investigated Read and mocked her with horrifying language during that process). [Also, another side note, there is an intense history of tension between the Norfolk DA's office and the DOJ in Boston which dates back to the 1990's and William Delahunt, but which, in reality, really heated up during a 2015 mob trial.] Basically, there is a connection between Josh Levy (Acting US Attorney For District of Massachusetts) + Karen Read (accused murderer) + Dustin Chao (head of Boston DOJ's Public Integrity Section) + David Yannetti (lawyer for accused murderer Karen Read) + Rachael Rollins (former Suffolk County DA, and US Attorney for the district of Massachusetts, until Spring of 2023, who was also Josh Levy's boss in November of 2022 and who previously had direct contact with Read's lawyer, Mr. Yannetti) + Aiden TurtleBoy Kearney (blogger indicted with 19 felonies in relation to targeting witnesses in the Read case, until he was thrown out of Read's inner circle for exposing Read's connection to Acting US Attorney Levy). Chao (aforementioned head of the DOJ Boston's Public Integrity Section) had a grudge to use whatever means necessary take down the Norfolk DA since 2015 (After Chao's wife was passed over for a promotion and left that DA's office on bad terms) and, in turn, the proxy-battle behind all of this chaos becomes a bit more clear. Read the primary source documents laying all of this out here - and here - That said, I think there one was wild-card who came into the picture between October of 2023 that no one (be it Kate Peter, the FBI, the DOJ, the State Police, Aiden Kearney or otherwise) expected, and her name is Lindsey Gaetani. At first, between October and December of 2023, Lindsey was simply someone who had met Mr. Kearney online, chatted with him, and then begun to form a bond. Little did Ms. Gaetani realize, however, that, by virtue of a simple twist of fate, Kearney's pillow talk related to Karen Read and Josh Levy having direct contact, FBI agents, and civil rights probes of the State Police would put her directly in the middle of an unholy conflagration that was, on the night of December 23rd, 2023, about to take a turn that would change the course of history for an untold number of human lives. For, you see, in the weeks leading up to Christmas of 2023, the State Police discovered that Ms. Gaetani had information about Karen Read and TurtleBoy being in direct communication (along with information that Read and Josh Levy spoke directly). See those documents here - That, in turn, meant Ms. Gaetani was going to be forced to provide testimony at a Grand Jury scheduled for the week after Christmas (roughly December 26th, 2023). When Kearney found out this news, on or around December 22nd, it sent him into a tailspin (for good reason, it turns out, as what Mr. Kearney did next would, over time, lead to him being kicked out of Karen Read's inner circle and sent to jail...or, as Kearney says it, "...[that night] was a very expensive trip to [the city where Lindsey lives.]" Leveraging a very difficult time in Ms. Gaetani's life, Kearney demanded he be able to visit her, at home, late at night on December 23rd of 2023. Then, Kearney forced Gaetani to allow Kearney to review the contents of her phone (specifically her messages with Kate Peter) and take notes (using an ongoing medical situation that Gaetani was going through as leverage to get permission to do so). However, after Gaetani raised an objection to Kearney taking those notes, and after Gaetani retrieved her own notepad (that Kearney had used to take said notes) Kearney entirely lost his cool, pushed Gaetani onto a couch, and then began illegally recording her with his phone (an audio file Kearney would later try to edit in order to suggest Gaetani had consented to the recording, although that plan failed when a copy of the original recording, without the line about consent, was introduced into the court record). That, in turn, led to Kearney being criminally charged (again) with witness intimidation, illegal interception of an oral communication and assault and, as a result, a warrant to arrest (with probable cause) was issued. Kearney, after being a self-admitted "fugitive" from justice for multiple days with the warrant active, then turned himself in to authorities and was sent to jail after a Judge in Dedham district court revoked Kearney's bond as a result of the new charges involving Gaetani. See the post where Kearney admitted to being a fugitive here - See full coverage of the moment Kearney's bail was revoked here - In turn, Kearney then spent the next 60 days in jail (in protective custody, per my sources, because of his status as a federal informant) and, during that time, Kearney has confirmed that he would have been able to "walk free" if he "flipped" on Karen Read in the context of an ongoing conspiracy and witness intimidation probe into the pair of star-crossed attention seekers. However, Kearney did not do so and, in turn, was released from jail in late February of 2023 after serving the full 60 days on his bail revocation. For Ms. Read, however, a newly-leaked series of text messages confirm that, even thought Kearney stayed loyal and sent love-letters begging Read's forgiveness while locked up, the incident on the 23rd with Lindsey was Karen's red line and Kearney had been cut off from Read's inner circle. See that leaked text message (from March 3rd) here - Interestingly, on one of the first day's that TurtleBoy was out of jail (February 26th, 2024), I captured this fascinating moment where Karen clearly is uncomfortable around Kearney (she entirely ignores his presence outside of court and her lawyer, Alan Jackson, puts his arm on Karen's back to gently tug her away from Kearney as they walk by his hallowed-shell) - And, even more interestingly, it was also on the same day (2/26/24) that Lindsey Gaetani (under mysterious circumstances that, again, trace back to Kate Peter being shady) attended a court hearing, wherein, because of Gaetani's active restraining order on Kearney, Kearney was forced to leave the courtroom during Karen's case (and, on this same day, Kearney was also charged with a violation of that RO for hiding in the bushes outside of the court after being asked to leave the area by authorities). See video of that day here - However, sadly, I believe Gaetani's "usefulness" also quickly ended around this time as Kearney, within weeks, got his RO amended to allow TurtleBoy to attend any court hearing in the Commonwealth (even with Lindsey present) and, furthermore, the pressure tactics to get Kearney to "flip" on Karen Read had failed. Furthermore, because Karen was now in fear of TurtleBoy (having cut Aiden off), I believe Peter, Tully and the Norfolk DA took an entirely new direction. They would try to get Karen Read to cooperate regarding the ongoing investigations into TurtleBoy. This move, however, had unintended consequences (in particular for Lindsey Gaetani). In what I believe was a colloquial "crime of opportunity" -- and because Gaetani was no longer "useful" for the purposes of pressuring Kearney into a plea or for the purposes of keeping Kearney away from Karen Read hearings -- Kate Peter came up with a new idea: Kate, before knowing anyone else in the case, was connected with Jen McCabe (a witness in the Read trial who heard Karen confess to hitting John O'Keefe and who was tormented by TurtleBoy, for months, as a result of her willingness to testify on behalf of justice for John). Kate, also, had extensive connections to a network of Discord operatives who use fake profiles and hunt down bad people on the internet (again, a noble calling). However, I believe Kate weaponized some of those people (including someone named Father Mark Murphy, who used a fake profile called "The Jennings Report" and a parking clerk named Jason Broyles who moonlights as a woman online named "Hailey W.") to, in a last ditch effort now that Lindsey had no other use and because TurtleBoy could not be stopped, deflect the attention of TurtleBoy's fans (known as "TurtleRiders") away from Jen McCabe and onto --an unwitting and entirely innocent-- Lindsey Gaetani). What makes this even more shocking is that the way public attention was deflect onto Lindsey involved, what I believe, was an operation (run by Kate) to leak sensitive documents about Lindsey (along with other private information) to those fake profiles (including Jason Broyles, who Kate Peter has known since 2019). Interestingly, Broyles (and Murphy) began operations targeting Lindsey, and her support network/allies, right around the end of February, 2023 (and, interestingly, those accounts, for months, went out of their way to avoid mentioning Kate Peter or Jen McCabe, nearly entirely). Read more about the fake "Jennings Report" profile here - and read more about the disturbing tactics deployed by Jason Broyles here - and here - Anyway, that entire fiasco was the subtext (that I referenced in earlier posts) behind my question to Karen Read, in April of 2024, regarding whether Karen wanted to apologize to Lindsey for what was happening (as, by that point, Karen knew full well what it was like to become the target of Aiden's ire simply because Karen had cut him off). Karen may not have responded to my question, but she is a smart person (really, I don't mean that gratuitously: Read plays on a level I don't think most of us understand, and she does it by hiding in plain sight) and Karen knew exactly what I was talking about (she probably could have written this post herself, in fact, but she probably wouldn't have said as much about her gilt as to John's death). See video of me asking Karen that pointed question here - So, where does that leave us? Well: 1) In my view, Karen Read is vulnerable, concerned about what Aiden will do to her and her family, running out of money, and constantly at risk of having her conversations with TurtleBoy and other insiders (past and present leaked). Karen, after she loses her appeal at the SJC, is likely to look for a way to take a plea and cooperate against Aiden (Robert Cosgrove, the new special prosecutor in the Read/Kearney cases, and Hank Brennan, the new ADA in Read's murder trial, are serious legal heavy hitters and Read is in deep trouble, in my view). 2) Likewise, I think Brian Tully and Kate Peter are also deeply concerned because they didn't realize the FBI is, in reality, probably coming for them (and it has nothing to do with John O'Keefe's death, but instead it has everything to do with Kate and Tully's actions between the fall of 2023 and the summer/fall of 2024 and, also, probably Tully's actions in the context of the Sandra Birchmore investigation). I think this is why Peter is facing so many state-level criminal charges (despite trying to use her connections to get those cases to "go away" and, even in one case, managing to get the Norfolk DA not to recuse itself related to one of those charges, despite a special prosecutor being assigned to Peter's other criminal cases in the jurisdiction because of her connection to the State Police and the DA). 3) I think a lot of people are trying to keep Lindsey Gaetani and her story away from the media, and away from documentaries/podcasts that they do not control, in order to hide this information from the public, punish Lindsey for "knowing" Aiden, and insulate Peter and Brian Tully from accountability. I do not think this strategy is going to work because, and I cannot understate this enough, Lindsey is actually a genius (and none of you can see it, because you're blinded by greed, ego, jealously or otherwise). 4) I think, at the end of the day, Karen Read killed John O'Keefe, while Karen was drunk driving, at 12:31am on 1/29/22 by hitting John with her SUV and then leaving John to die. In turn, I think Karen was mad that people "flipped on her" related to Karen's actions that night, and, in turn, Karen leveraged her political connections (which I don't fully understand, but which I think are based in the intelligence community) to "punish" the Norfolk DA and the State Police Troopers who uncovered said evidence of Karen's guilt. Little did Karen realize, all the way back in November of 2022, that she had stumbled onto overlapping social circles of power that, when the dust settles, would have been consumed by their hubris --and wanton disregard for the memory of John O'Keefe-- regardless. "Remember," dear friends and readers, "it's about Justice For John." I'm a towel, and that's what I think happened (as of November, 2024). Usual disclaimer: I am a towel, not a lawyer. This is not legal advice. You are reading social media. Get a lawyer if you have questions about the law.](https://image.24vids.com/tw-1951990598375796787/amplify_video_thumb/1951989042272227328/img/AR5vFlH4FWaF-znG.jpg)
