Hey, what's up coaches? Welcome back to my YouTube channel. Now in today's video, I feature a coach who has left a great testimonial for our business coaching program. His name is Quinton. Quinton is someone that I've known for the past couple of years now. He's gone through our program. You'll learn about, you know, the different obstacles he had with his business. He recently quit his nine to five job to go into training full time. He shares his whole story here. So without further ado, watch this video.  You can learn more about our program and shoot me a text if you want to chat to see if it's a good fit. So that's it. Watch this video and you'll be able to meet one of the students in our program. I'm a sports performance trainer in Hal, Michigan. And I want to take a second and talk about the benefits I've had from working with coach Ben and his coaching business and what I've experienced since I sort of entered his program. Now I started, I started my journey back in 2014. Just as a personal trainer. And I've slowly kind of worked on, I kind of grinded that out for a while. I didn't really have like a ton of success as a personal trainer. It was always like a lot of, a lot of struggling with trying to close sales, a lot of struggling with prospecting and trying to drill more business. And I eventually started to work my way towards the sports performance side of things. That was like my, that was like my real passion was like the sports performance training, not so much the fitness training. And eventually I got to a point where I started just taking on sports performance clients, mostly teenagers, mostly high school athletes. And because I had a good skill set on training athletes, I did not have a good skill set when it comes to developing a functional business and developing a systematic business that, that kind of just helps bring in more revenue, helps automate certain systems. You know, a lot of it I was just sort of just making up on the fly or, you know, I would just desperately search YouTube to find someone who had the skills or had the knowledge that could teach me, you know, like this is how you close clients. This is how you find new clients. This is how you set up areas for prospecting. This is what you do properly with your social media that directly turns into money instead of just likes and views. So I came across Ben's program on YouTube. He was just doing one of his videos and it was about trying to develop more clients and what to say to athletes after camps or clinics. And I thought it was really interesting.  And just from his one YouTube video, I immediately saw small, saw small results out of, out of his techniques and out of his different methods. And so I eventually found his website, you know, I listened to other testimonials such as the one I'm doing right now and had nothing but great things to say about his program and the success that his coaches were getting seemed very inspirational and very motivating. So at the time, before working with Ben, as I was working a part-time job, actually more like a full-time job, you know, I was driving around different car dealerships and hanging American flags in a giant truck with a cherry picker. And I was doing that for $20 an hour. And I would do that during the day, you know, I would try to bang out as many hours as I could with the flag job. And then after I was done doing that, I would have to drive from look, I'd make like a 40-minute drive all the way back to Brighton to train, to train my athletes and to train my clients. And it was always week by week. It was always trying to, trying to work as fast as possible to get the jobs done during the day and then come in and try to like eat something while I'm in the car and hopefully have enough energy to give to my clients to try to make them better. And I never knew when my next client was gonna, my next client sign-up was gonna be. I never knew how long I would have these clients for. I was basically like hitting the gas pedal and the brake at the same time in my business. And I was just burning cylinders on both ends. And I was getting worn out. I was getting tired. I was getting demotivated. I thought about quitting a couple times. And I was just, I just didn't have good systems and good practices set in place, which made the job that I was doing like 10 times harder. And it made my stress so much more than it had to be. And I think so to kind of break down some numbers is I was working around 60 hours a week doing the fly job and doing training. And I was probably bringing in with my fly job. I was bringing in maybe like $30,000 a year that was kind of keeping me supported. And then after I was done with the flags, I'd have to train clients from 5 p.m. to about 9 p.m., not consistently like I have a six o'clock, then I'd have a break, then I'd have like an eight o'clock, then a nine o'clock. And then, you know, because I would take clients at any time schedule, you know, and I fit their schedule, I would make myself available for them. I was training people from 9 to 10, 10 p.m. at night. And then I'd get home, eat, go to bed, wake up at six to get to the fly job, you know, and I'd train weekends, I would work with people Saturdays and Sundays, you know, and I just thought this is the way like you have to do it, you know, if you want to make your dreams happen. And I was only making about honestly for five years doing that, I was only making, I never got higher than like $15,000 a year in training, you know, but I was just, I loved the job so much and I loved helping people and I loved, you know, implementing my training system and seeing results and making the impact in people's lives that I didn't want to give it up. And I didn't really know how to like make the business more efficient, how to develop it better, you know, so I signed up with Ben and honestly, after just one phone call with Ben, completely changed my training program, completely changed how I went about talking to coaches, how I went about talking to future clients, how I went about developing my systems and my payment practices, like all that changed just honestly just after like just the first phone call. And after that, like I just knew like this is this is a guy I need to learn from, this is like either great mentor, and this is this is the direction I need to head and make some serious changes within myself if I want this business to be successful and if I want to continue making an impact with more athletes, more kids, you know, more clients and even for myself so I can develop the life that I've always wanted where I don't necessarily have to like, you know, look on ESPN and see some of these other coaches live in the dream, like I can, I can now live that dream I can make that make that into a reality. So, so types of results that I've seen like since I've started with Ben's program is that I've been able to quit my part-time job doing the flags. And I went from a 15 to $13,000 a year training business. So just after my first year to about $35,000 a year just in training, no part no, no second full-time job to help compliment that I was able to just do just do clients and training all year long, which to me was just amazing. Like it was just the first time since 2014 where I can just be a full-time trainer where I just have people working with me doing what I love day in and day out with no having to run from job to job, eat my lunch in the car, you know, and always like struggle to wonder where the next client's going to be. Changes that I've seen with my business, having things very streamlined, having things very automated, having different practices and implementing very strict policies in my business, you know, like getting rid of bad habits that were really killing my energy and killing my mental health. You know, we're not tolerating clients that were making me Ben to their schedule, not tolerating late payments, having just like I said, having things more automated. And it's really freed up more hours in my days.    And and it's it's just really been life changing. It's also changed the way I feel about myself as a person, you know, my confidence, my ability as a trainer, and the lack of anxiety that I no longer have to live with, like there's still I mean, you still got to make a business run, you still got to put in the work and you still got to make a lot of changes that are going to be very challenging for you as a person. But this is a step by step process that works. It, it, it really fixes a lot of systems that honestly, we just as trainers, you just don't know like how to do certain things like no one has actually sat down and taught us. And that's one thing that I kind of want to address like above all else is the resource that then provides coaches, you know, especially in the United States, I feel like so many trainers and coaches, they learn a lot about their sport or they learn a lot about their, their, their skill set as far as creating exercises and making athletes better. But no one teaches us how to run the business properly. No one teaches us how to make sure that the money is coming in and how to make sure that we're receiving more clients and in doing the proper work, not just working on things, but doing the right kind of work with the right kind of systems. And I'll tell you what, I've looked for a program like this for years, for years and years and years, I would search YouTube like high and low, Google, everything to just try to find someone who has like the information or the knowledge should be like, Hey, this is how you do this. This is how you, this is what you say when you talk to coaches. This is what you do when you call parents. This is what you do to close a sale. These are, this is what you do as far as finding a building or rents like very step by step things that honestly so many I know I met so many trainers and coaches that just quit like the average lifespan of a personal trainer six months. Like I've probably seen 40 people come ago from this coaching or personal training industry or sports performance industry and it all came down to like they were great at their abilities to train and to coach. They just didn't know how to make the business run successfully. Honestly, it's a huge, it's a huge deficit. I see in the coaching industry is just not having these basic ideas down and someone who can kind of hold you accountable and help you develop these skills to run a successful business.  But yeah, I just kind of wanted to make this testimony to kind of talk about some of the areas that I feel like this has really helped me with. And I think that if you're in the industry of personal training, sports performance or coaching for sports, it's absolutely imperative that you find a program or you get involved with this program because the results, the results are just truly life changing. And I'm really excited. And I'm really looking forward to my business developing and where I'm going to be in the next, in the next five to 10 years, staying with this program. So my name is Quentin Torres, sports performance trainer out of Howell, Michigan. And yeah, hopefully we see you on the other side


The name of this game is Number Decoder. This game allows you to practice using mathematical vocabulary to ask questions to help you figure out the hidden two-digit number. You will need a whiteboard, dry erase markers, an eraser, and scratch paper with a pencil. Choose one person to be the number generator. The rest of the players are decoders. Lay the vocabulary cards face up so all of the decoders can read them. The number generator writes down a two-digit number and keeps it hidden. This number is the code number you will try to guess. Now you are ready to play. The player to the left of the number generator goes first. On your turn, choose one vocabulary card. You must ask the number generator a yes or no question using that vocabulary word to help figure out the code number. Is the code number odd? The number generator answers yes or no. In this case, the answer is yes. You may draw a vocabulary card that says freebie. You don't have to use any specific vocabulary word when asking your yes or no question. Is my number less than 30? Yes. Continue rotating turns until 20 questions have been asked or the code number has been determined. Is the number prime? Yes. So the number is odd, prime, and less than 30. What numbers can it be? You may guess the number if you think you know it, but your guess counts as a question if you are wrong. Is the number 19? No. Is the number greater than 19? Yes. That leaves only 23 and 29. We know the number is prime and less than 30. It is also greater than 19. However, the only two odd numbers that are prime and between those two numbers are 23 and 29. It has to be one of those. Is the number 23? Yes. You won the game by identifying the code number. You can continue playing by choosing a new number generator and starting the game over.


So as soon as I post that duality dungeon farm, bungee go ahead and patch it. Well guys I bring you a new version. It isn't quite as quick but it is pretty quick. You can get to run literally in about two and a half minutes from start to finish. This can be done solo or in a team and it's definitely the new best and fastest way in farming, Artifice armor, weapons, materials like ascendant shards, enhancement prisms and more. How's it going guys? My name is DPJ and if you do enjoy the video leaving a like really helps out and if you like what you see and want to see more be sure to subscribe. Now credit to Clan Beachbombs for sending me and allowing me to use this footage. There's only a couple of things required and that is that you use strand with that grapple hook and a slow firing rocket launcher like the gala horn because you're going to attach yourself to that rocket that you fire to skip a large portion of this dungeon at the start to make this farm much more efficient on yourselves. So all you got to do guys is start up the dungeon. Remember it needs to be on that master difficulty though. Do as they do in the video you're seeing on screen now using that rocket at the start attaching yourself to it and simply get this done people. So follow what they do on screen now to get to that boss encounter and I'll catch you back in a quick second.  Now if you're in a full fire team you can go ahead and clear the ads quite easily if you're using rocket launchers or if you're doing this solo or you're doing this in a pair of two like I was doing it with my hunter pal maybe in a hunter at the same time we ran to the back corner but what you're seeing on screen now guys is the perfect method in a fire team clear the scions clear the ads and draw the boss off the map and the loot is yours you'll now see on screen people me as a hunter and my pal as a hunter doing this we started the encounter we killed the scions we ignore all the other ads we go to the back of the room the back corner of the room that is and then we just try and draw the boss off the map with that grapple hook in hand so when we actually do go flying off the map or we jump backwards off the map to try and get the bus to launch off the map we then grapple hook back on the bus falls through his death and we are good to go people it really is that simple unfortunately you can't save the checkpoint at this point anymore that's what they have patched so you will have to start and run this again but again using the tactics and the methods within this video you'll get this done in easily three minutes and under every single run which is still by far the best way to farm that artifice armor as well as ascendant shards and enhancement prisms so yes guys use this while you can it's no doubt going to get nerfed guys if you enjoyed the video leaving a like really helps out if you like what you see and want to see more desktop be sure to subscribe and hopefully guys I will see you on that next one


Hello, hello, hello. How's everybody doing? Good, good. Friday afternoon, Friday afternoon. I just spoke next door. I had to run over. I'm sorry for being a minute late. So let's get started. Come take a seat. All right. I'm talking about a topic here with Joy today that I'm really excited about. I know Joy is as well. So democratizing machine learning on Kubernetes. And I don't know what you expect when you see that title, but we're gonna talk about a journey that we've both had speaking from the heart and some different things that we've seen. And then give you some best practices for what we've learned and how we propose we might move together as a community. So with that, I will hand it over to my lovely colleague, Joy, to introduce herself. Hi, I'm Joy. I'm a solution architect from the Microsoft AI and Research org. So I work with a team of data scientists and engineers on a daily basis. We're all basically building models, training models every single day. And obviously doing it in a very efficient way is super important. And that's where Kubernetes comes in and Lackey has been tremendously helpful. Thank you, Joy. Joy is absolutely a wonderful mind and it's been a pleasure working with her for the last few months, I'm Lackey, I'm an SRE over at Microsoft on Azure and what I spend my day doing is helping folks with Kubernetes. So Joy came to me several months ago, said, hey, can you help me? I hear Kubernetes is a great place for me to run machine learning workloads. She'd already taken a great look around and had a lot of things running, but we took a look together and what we found is what we're gonna present and see what you all think. But I represent the SRE. So I build and maintain the infrastructure. I know how to build Kubernetes, I know how it should look, but I have no machine learning experience, right? What I would like to propose here that this is quite a common occurrence in this space. You have highly talented people at the infrastructure level who know how to build Kubernetes with their eyes shut and run it and then you have a team of more than capable wonderful data scientists chomping at the bit to use this infrastructure that you've built. The problem is that in the middle of that Venn diagram lives no one, right? So nobody lives there. So what we're looking to do with this talk is start conversation around how do we get people in that middle point so that the data scientists can get the best out of Kubernetes as a platform to run their machine learning neural network workloads. And me have confidence that I'm actually building the most efficient platform for them to utilize. And this is where the revelation is, I won't chomp at the bit here. So what I'm seeing in the environment and working with Joy is the right tools are out there to run machine learning. The tooling is already there. And Kubernetes is the right platform, but we have two distinct set of people that know two different knowledge pillars with nobody in the middle, right? So how do we actually start this conversation between infrastructure engineers who can lay down Kubernetes and the data scientists who wanna put Kubernetes to the test, which is what I was really excited about. So what we found taking a look at the documentation, it's fairly spotty out there when you take a look in the wild. Is anybody running machine learning on Kubernetes workloads? Neural networks too or traditional? Okay, okay, fantastic. So you'll probably can sympathize with some of this. So the documentation is lacking in some places. And when you do get a chance to take a look, everything's moving at the speed of light and typically it's out of date and or does not work. And it's several weeks old, right? Because Kubernetes is moving at a different plane to machine learning libraries and meeting them in the middle somewhere. So that was the challenge for me coming in with the infrastructure I and Joy coming in with the MLI looking at the same set of documentation and making sure how do we make this a successful outcome? So thinking about that, just digging down into what we do here, how do we lower the barrier to entry? So when we say democratizing, I think there's a whole world and I believe working with Joy that there's a whole world of folks chomping at the bit to get at this. They have neural networks to build and there's great minds out there to build them. But the barrier to entry is still very high for them to be able to get this knowledge out of their head and actually start putting it to the test. So how do we get some best practices and create some content out there so people don't stumble around as much as I did? I don't know if anybody else did, but to get there. So let's get started. But we're gonna take you on a tour of deep learning because I think one of the things that trips me up at least is naming and nomenclature. A lot of these things are very deeply related but they have different names in the ML world and different names in the infrastructure world. So Joy's gonna give us a very great tour of how distributed deep learning works and I think I'm gonna speak for the infrastructure engineers. So I'll hand it back to Joy. Okay, thank you, Lackey. So before I dive into the nitty gritty details about doing deep learning, especially distributed deep learning which is actually much harder than a single node deep learning training on Kubernetes. I would like to just to provide a quick context on the typical distributed training architecture on multiple nodes. So they're mainly in a deep learning space specifically. There are mainly two ways of doing distributed training if you wanna scale out to multiple nodes. One most popular way is actually data parallelism. Basically, if you have multiple GPUs sitting across multiple nodes, the way you do distributed training for deep learning is basically you place a copy of your deep neural net model within each every single GPU that you have and then you feed a mini batch of the entire training dataset, one batch at a time into each every single GPU and each GPU basically just works on that mini batch of the data is being fed to and train the model one iteration at a time. And at the end of each iteration, basically it sends up the delta which we often call the gradient which is basically the delta of the parameters of the model that need to be updated at the end of that iteration and it sends that delta, that gradient to a centralized parameter server and the parameter server basically talks to all GPUs aggregate all of those gradients that are sent across all those GPUs and do a central aggregation and then update the model globally and then push down back the updated version of the model to each GPU again and then the whole iteration starts again. So this is the way a typical data parallelism distributed training architecture works. The second way is called model parallelism and this happens when you have a model that is too big to fit into one single GPU and this normally happens when you have a big large neural net that is doing some natural language processing, big LSDN models or those big neural machine translation models. Those are typically pretty big and cannot fit into one GPU. So in this case, you divide the model into K sub models and each GPU just works on a sub model and they all need to work with each other in order to do the global model training. So this picture, I'm sure if you have used TensorFlow distributed training, you must have seen this architecture diagram a lot. This is a typical setting when you do TensorFlow distributed training, you can have one or more parameter servers sitting at the top and then you have multiple GPUs across multiple nodes. One thing to call out is TensorFlow has done some basic optimization in terms of the gradient that are being sent from each GPU. Each worker node that is doing the work with multiple GPUs, they do like a local aggregation first to optimize the network bandwidth before they send the per node level aggregated variance up to the centralized parameter server. Fantastic, thank you Joy. I think one of the things just in hearing those three slides, that was a revelation to me as an engineer, knowing where the bits get pushed and crunched and knowing I can already mentally map how that lays down on a Kubernetes. So what Joy actually did for me and open sourced it was just a bunch of steps to actually help me build out and map what she was doing. So she's created a very lightweight kind of in the weeds setup for us so that we can see a very low level of how this thing hangs together without making it overly complex. So bring any Kubernetes cluster on your provider of choice, this will work. But what we're doing here is with Kubernetes we make sure that we have availability to the GPUs. So if you've ever used GPUs in Kubernetes they are schedulable as a resource, you see them there. But just because they show up doesn't mean you have all your house and order on the nodes, right? So you need the libraries to access the GPU hardware, whatever that be a common one is Nvidia. So you need to make sure that you contain a runtimes actually have access to utilize that hardware, right? So just because you can see that you have four GPUs doesn't mean your workloads actually have access to those GPUs. So there's a script inside that repo that will actually go and on your nodes you can run it and it'll make sure that your GPUs are in the right place and shape and then you can run this YAML file. So I'll quickly just pop over to this one. Okay, fantastic. Thank you and we'll have the links here at the end. But for me, joy putting this together and actually I could get in the weeds. I know lots of folks are like this but knowing what a PS0 and a PS1 was and a worker zero and a worker one in the context of what we just learned was incredibly, I was incredibly grateful that I had that knowledge because I could start to peel back how I could design an infrastructure for what her workload was. So you can work through this at your own pace but what it ends up is you have a parameter server and several workers and number of workers. We run a Python script manually inside them all and describe where the parameter servers and the workers are and this kicks off the process that Joy just detailed. But what you can see in there is you can see the number of patches we wanna serve up and the different models which is gonna be great. Joy's gonna take us into what we actually saw when we did a lot of benchmarking and testing. So this is available to you and we'll have the links there at the end. Let me pop back over to the deck. And so finally, if you do a describe on your nodes you will see GPUs if they're available. That is that feature is still under alpha I believe but you can do that. And most of some providers GKE have access ACS to GPU nodes that you can run this up and start playing with it today. Now I'm gonna hand it back over to Joy and she's gonna take us through what we actually found together as we build this infrastructure. Yeah, so to share with you with some of the key learnings we observed when we were doing a lot of the training on Kubernetes especially doing a lot of the benchmarking test tuning various different knobs and options and what we've learned so far. So just to let you know quickly the training environment we used for the benchmark testing we did a couple of months ago. I was using basically two worker nodes. Each worker has four Tesla KID GPUs. And I was using one just CPU VM for my parameter server. Since parameter server as you have seen basically its job is to do a lot of the gradient aggregation and update. It actually doesn't do the model training itself. So the parameter server does not really need the GPU. So I was just using a CPU server for that. And we were using the real all the whole ImageNet data set. And those benchmark scripts. So we did use the upstream benchmark scripts from TensorFlow as well, right? So you can take this and run the same thing on your own test bed. Yes, correct. So before we go into the distributed training just to show you what we observed on a single part with multiple GPUs as you can see with the chart showing here you pretty much you can get a pretty good linear scalability here. And I'm showing a ResNet here just for an example but actually the same pretty predictable linear scalability applies to a lot of different models we ran and tested. So VGG16, inception V3, GoogleNet, different versions of ResNet, we try them all and they all scale from one GPU to two to four on a single node pretty nicely and all the GPUs are fully saturated which is actually good. That means you're not wasting your GPU resources. And for the distributed training testing just a quick settings. So I was using just one parameter server and two workers and I was doing the async gradient update because the communication between the parameter server and the worker node can happen in a synchronous fashion or in an asynchronous fashion. Async sometimes can help you especially if you have a slow network bandwidth that means if you're using async the worker each worker does not have to wait for the rest of the workers to all finish their batch of the data before the worker can move on to the next batch. The communication, the synchronization it can happen asynchronously. But sometimes using async can also hurt your speed to accuracy meaning the parameter server sometimes can get a stable model coming from a slower worker node which might be having some network issues. So the model you're training the performance might go up and down a little bit if you're using async. And in this particular testing the parameter server, each parameter server and each worker pod has their own dedicated host so they're not competing for resources in this particular testing and I'm not using any feedback network just pure Ethernet or GPRC protocol. So here is the distributed testing results as you can see actually we have tested different models here and you can see different models actually have very different behaviors when you scale out. So it's not necessarily that you will always get the linear scalability. In those cases, you can see GoogleNet which is at the very left here. It basically has pretty much the best nearly a linear scalability here whereas in section V3 the rest net 50. They all, they have worse scalability. In this case I was only getting about 1.6 speed up when training on two nodes versus one. I think this was when I first saw these results this was a bit of a revelation because I was under the impression that you could just throw more hardware at the problem but if these models aren't built to take advantage of that distributed hardware you're just wasting your time. So a lot of effort on my part was wasted building larger clusters with bigger GPUs and putting more of them out there when the model couldn't actually saturate them. So you can see there that first diagram GoogleNet actually linear scales in a distributed fashion but over to the right there's a model there that's actually worse when you run it distributed. Right, and some are 1.6, the average there, GoogleNet's the outlier there. The rest is not linearly scaling. So we're gonna talk a little bit more about that but me as an infrastructure engineer give it more GPUs, give it more hardware that we talk about that now causes other problems. So this is kind of the knowledge gap that I was receiving and starting to build clusters in a different way for these folks. So just to dive a little deeper on why those models are behaving very differently when you scale out, basically it all comes down to in one single sentence, a critical characteristic of your actual model architecture which is the compute over communication ratio of the model, basically those two factors, how much GPU resources your model takes to get trained and also how many parameters, how many layers your neural net model architecture has. It has a dictating factor on how much network bandwidth it needs to consume so the compute over communication ratio of the model really decides how well your model can scale when you try to scale out when you're doing the training and as you can see Google net really has the highest ratio here so that's why obviously we saw during our real training as well it does scale pretty well whereas the other models they have lower ratio and they don't scale as well. Also for me, I actually thought disk access was gonna be the largest factor in this, that ratio so compute to disk access and talking to Joy, she informed me of something that I didn't know so under the ML banner which contains a lot of robots that do good and bad things, there is traditional ML, things like Spark which are disk intensive and then there's distributed deep learning neural networks which is the more modern, some more modern approaches which are actually moving these data sets around the network, crunch move, crunch move so it's actually the move of that data after the model's been trained that actually causes the whole model to slow down. How fast can I get the trained model, these layers, pushed around so everybody else knows about them? So again, a revelation to me, here we are with 40 gig NICs so to actually move this around otherwise the hardware also I think in the parameter server model as you scale out more things go to the parameter server so your parameter server actually becomes your bottleneck because everybody's trying to shoot them 40 gigabits per second and he's only got a 40 gigabit per second NIC so again, I thought you could throw more hardware at the problem and it actually made the problem worse, right? So this is things we need to talk about and think about as we're building this infrastructure, that's true. So some other observations that we wanted to call out when we were doing the training in addition to the network bandwidth and obviously the compute over communication ratio of your actual model.   And also another thing that I was having to basically try different options and wasn't really very intuitive for me to come up with an optimal design at the beginning was the correct ratio between the worker to the parameter servers. I was testing with two parameter servers, with one parameter server, with two parameter servers sitting on the same host with the worker on the same host as the worker path or should I be having the parameter servers sitting separately on a separate host. So those are all very not so easy and intuitive to design at the beginning of your training. So we've shared a lot of pain points and a lot of learnings. So how can we do better? So this is where I wanted to do some quick call outs on some of the latest technologies and frameworks that literally just came out about over the past two months. One thing is Horovod that is Uber's recently open source distributed deep learning framework. For TensorFlow, it is important to note that it is not replacing TensorFlow or just yet another fork of TensorFlow. It is actually a standalone Python package that works on top of TensorFlow. So you don't have to worry about getting distracted or getting detached from the mainstream TensorFlow. This is just another nice standalone package that works with TensorFlow. And it solves a lot of the network bottleneck issues and also the hard decision was the correct ratio between your parameter server and worker. It solves a lot of those problems by using the ring or reduce algorithms so that all of those workers, instead of thinking and sending their parameters, those gradients to a centralized parameter server, they can all just talk directly among each other. So now with Horovod, you don't need even to specify how many parameters servers you need anymore. There is no parameter server. All the workers can just talk directly with each other among themselves using this ring or reduce algorithm that is highly efficient at cross node, internal or internal GPU communication. And it is using this NICL and NICL2 library from NVIDIA. NICL1 is for internal GPU communication. NICL2 is for internal GPU communication and they all use this ring or reduce to talk to each other directly. And also it basically, because all the workers now can talk directly to each other from the network bandwidth perspective, you also basically avoid a lot of the network bandwidth bottleneck that we were running into earlier. So as you can see from the chart here, if you're running Horovod and top of TensorFlow, you get a much better, much more predictable linear scalability when you scale out. And it doesn't matter what model, what your specific model architecture is anymore. As you can see, whether you're using Instruction V3, ResNet or VGG16, your model can all pretty much scale pretty nicely. And in this way, since you get better predictability of the scalability, you then can design in a much easier way how exactly how many workers you need, how many GPUs you need instead of guessing and testing. And another thing is this deep gradient compression technology, this is a paper that literally just came out about two weeks ago. It also directly targets on addressing the huge network communication bandwidth issue here when you're doing deep learning training across multiple nodes. Basically, it turned out that 99.9% of the gradient exchange could be too actually tiny to be significant enough to be transferred in the first place. So it does a lot of compression technique without losing the accuracy. If you're interested in this, check out this paper. It's actually, it can really democratize distributed training over a commodity, just one gigabit ethernet. Yeah, I like the smaller next two. And I think even the Google Pixel 2 ships with the TPU. So they're obviously doing something very similar as well. Now you can actually process these models and not have to have large bandwidths between them. Thanks, Troy. So I think in the spirit of making this easier, one of the things that the Microsoft research, ML research lab did was actually create an open source repo where you can bring your own Kubernetes cluster and install just a couple of pods and have a lightweight framework and Joyce is gonna take us through how you could run these models yourself in that workspace. Can you do that? Yeah, there we go. So this is basically an open source toolkit. We just released about a few months ago. It's from Microsoft Research. This is the deep learning workspace that are being used by our researchers, data scientists from Microsoft Research on a daily basis when they do a lot of deep learning training. And it is backed by Kubernetes and you can install this on-prem on any cloud providers. So it is integrated with Active Directory. So I can just quickly log in there. And obviously a typical data scientist wouldn't really know anything about Kubernetes and all they need to have is just access to this very intuitive, simple to use GUI. So if I, for example, if I wanna just spin up a Jupyter notebook, I can go and select a TensorFlow iPython CPU template and I can just click on the submit button and I'll get a Jupyter notebook really quickly. But what I really wanna show you now is how I can do a distributed TensorFlow training just from this simple GUI interface. So I can now just basically select the job type to be a distributed training and I can give it a job name. I can call it JoyTF, test nine. And in this case, for example, I can have just one parameter server and two workers and each worker should have just one GPU. And for the Docker version, I wanna use, say for example, TensorFlow 1.2 and in the training command line I can just simply tell it this is the Python, obviously the Python, my TensorFlow Python script here. So I can enable TensorFlow board. So obviously people love TensorFlow board for debugging purposes. So when you're doing the training, often you can just say, enable TensorFlow board and you will get an endpoint and you can just quickly specify a model path for saving your model checkpoint. And then you just click on submit. And now as you can see, some jobs are being queued and they will get scheduled very shortly. And while we are waiting for the jobs to get scheduled, I can show you a previous notebook, Jupyter notebook job that I spin up. So this is a Jupyter notebook job that I had opened. So here I was given an endpoint and by just simply clicking at the endpoint, there's my Jupyter notebook. And then back to my previous distributed training job. As you can see, the job is already running. So if I click into the job output, you can see actually there's a real-time training going on here. I specified 5,000 steps across two worker nodes and you can see there are two workers each working on some steps here. So and then just quickly, if I wanna see my TensorFlow board, I can just go into my TensorFlow board endpoint. And so there's my TensorFlow board. That is literally the graph for my model that I specified in my script. So back to the slide. So just very quickly, two quick things I wanna call out. There is a free flow CNI plugin that comes with the deep learning workspace we've just shown you. And the plugin is from Microsoft Research. It basically automatically leverage shared memory if you happen to have parts that are sitting on the same post. And also if you do have RDMA network, whether it's walkie or if in event, it automatically detects that you have RDMA network and it will use the RDMA network automatically. And it's completely transparent to your parts and your apps. So it's mainly because this is super critical when you're doing deep learning workloads on Kubernetes network bandwidth, network communication speed is always super important. And this is why we use the free flow CNI plugin ourselves a lot to help with the network performance. And also we're contributing back to the Kubernetes community by we're gonna be contributing a GPU resource schedule and that is from Sanjeev from our Microsoft Research team as well. So with that scheduler as a custom plugin that you can plug into your Kubernetes cluster, your data scientists can or your DevOps can specify a part, not only with just how many GPUs you need for the part but also how many GPUs with how much memory and also how many GPUs with that are interconnected through NVLink. Those are all very important when you're running deep learning GPU related workloads on Kubernetes. Thanks, Joy. And just to round up, there's a bunch of other resources that we placed on here. There's a lot of community engagement already going on. I know that the folks at Google announced Kubeflow a couple of days and there'll be folks rallying around that. So maybe go take a look at that as well. But everything up here today but what we're hoping for is that we can all work together and build a community around making ML workloads run great on Kubernetes and get some knowledge gaps that exist here today between me knowing ML and the data scientists knowing Kubernetes. Feel free to engage with both Joy and myself. We do this day in and day out via Twitter or you can find us somewhere or other. Or we'll take questions but thank you very much for your time. Thank you.


Hello, I'm Karina Lyons, Vice President and Director of Research at the East West Centre and host of East West Centre Insights. The Centre is a cutting-edge research and capacity building institute and we're based here in Hawaii and our mission is to forge a deeper connection and understanding between the East and the West. So every two weeks on this show, which is on Tuesday at two o'clock, we'll be having a conversation with an East West Centre expert or a guest from our global network. So check us out at EastWestCentre.org slash Insights. So today it's my absolute privilege to host and introduce to you the former President of the Republic of the Martial Islands, Dr. Hilda Hiney. So Dr. Hiney was the eighth President of the Martial Islands, serving from 2016 to January 2020. She was the first female President of the Martial Islands, the first female President in all of Micronesia, which is a block of five countries, and she was the first female President anywhere of Pacific Island descent. Dr. Hiney has also served as the Martial Islands Minister of Education and she is currently an RMI Senator, representing our atoll. And today we're going to be talking about the big issues facing the Pacific region. So climate change, women in government, US-China relations, education and the upcoming negotiations on the Compact of Free Association between the Martial Islands and the US government. So President Hiney, it's so wonderful to see you again and thank you for joining us all the way from Maduro, Yaakue. Yaakue, Yaakue and Aloha Karena. Thank you. Thank you for having me on your show. Now, thank you. And so you are in Maduro and the Martial Islands and just to give us our bearings, so what time of day is it there? So I don't know if I'm being disrupted or not. Yes, today is Wednesday and it's noon in Maduro. I think we're two hours earlier, no later than here at one time. Yeah, so I guess in the lockdown, everything sort of merges into each other and RMI is still shut down, right, to anyone other than Martial East citizens? Yes, actually, even Martial East citizens can not come into the country at this point, so we're completely locked down. There is some efforts by the military on Quadrant to bring in essential workers. They go directly to Quadrant, but that's about it for now. Okay. And the last time we spoke, which was yesterday, you were telling me that there are no COVID cases in the Martial Islands, is that still the case? It is still the case. We're very, very lucky to not have to deal with the COVID pandemic currently, so everything is pretty much normal in the Martial Islands. There is no quarantine of any kind, but we have some issues with food and other essentials coming into the country. But it still works out for the most part. What an example. Now, I've got a whole bunch of questions to try to get through, so it's going to be like a speed dating thing. So I'm going to start with the big one, the big topic climate change.  So can you share your thoughts on global climate diplomacy? Is it working?  And as you know, there are only four Atoll nations in the world, three of them in the Pacific, Martial Islands, Caterbys, and Tuvalu, and Maldives in the Indian oceans. And we're really on the front line of the climate change battle. So it makes sense for us to champion this issue locally and internationally. In the Martial Islands, as you know, wherever you stand in the country, you see the ocean. We're only at the highest point here is two meters above sea level. We have nowhere to run to or nowhere to hide, really. So we're at the mercy of the ocean and the weather. With respect to climate change diplomacy, I believe deeply in a multilateral approach to solving global world problems. And the battle against climate change is really one of the greatest of these problems. During my term as president of the Martial Islands, I took every opportunity available to me to share our issues, both bilaterally and multilaterally. I feel it was important to get the words out, to get support, to get people aware of what we're going through in our part of the world. I think we cannot leave these two chains and expect others to take our challenge. We have to take ownership of it and we have to leave from the front. And that is my belief we need to get out there and talk about this and try to resolve it. At home, we've also done and continue to do what we need, what we can to ensure of our resilience and even to do what we can to contribute to the global fight through some of the most aggressive renewable energy plans and also emission reduction efforts. So we're not just talking about this, but we're doing our part. But unless the world keeps its promise to pursue and could fade the efforts to limit global temperature, there is nothing we can do. Climate science predicts that by before the end of the century, countries like the Marshall Islands will be submerged underwater. And of course, we're having issues with our friends and allies. United States, of course, pulled out of the Paris Agreement. That was a disappointment for us. We hope that they will re-engage. This is an election here, so anything is possible. But in the Pacific region itself, the Pacific Rim powers are doing very little also to tackle the Pacific security threat, which is climate change. China on the other side is the world's largest coal producer. U.S. as we run from the Paris Agreement, Japan is promoting coal fire power. And Australia is the world's largest coal exporter. And it plans to export more coal in the future. So the actions of our friends and neighbors are clearly out of steps with our concerns for security in the region. And so we can't be disappointed, but I think we need to continue international diplomacy as far as climate change to bring solution as much as we can. Yeah, I mean, thank you. You articulated some very difficult challenges there. And talking about promises and taking responsibility, let's talk about the U.S. and pulling out of the Paris Accord. How optimistic are you that the U.S. will re-engage given that it is an election year? Yeah. Well, I mean, I suppose it depends on the change of administration. We are hopeful that there will be change so that issues like climate change can change and come to the forefront. Fortunately, though, for the various states and cities, they've continued their efforts to control emissions. And that has been a blessing for us. Even though nationally the U.S. has pulled that, the cities, big cities and states have continued to do what they can. And so we're hopeful that they will re-engage. I hope you're right. And I think I forgot to tell you that. And part of this life format is that we'll also get questions from the public. And so we have one. Yeah, so we have a question that's come in. And it's not about any other topics that I told you that we'd be talking about. It's about COVID. But I'd be interested in your views. And so somebody, and I don't know who it is, doesn't have a name here, said that they've read that the rate of Marshallese COVID infection on the U.S. mainland are higher than sort of the population rates. So why do you think that is given you've been in the Marshall Islands? Well, yeah, thank you. That's a very important concern for us. As you know, in Arkansas, I think that's where the rates are quite high. And I'm hearing 12% higher than other groups. And I think a lot of it is all, you know, it's community living style. I mean, we have large families in our homes. And so it's very difficult to isolate and to quarantine if there is a sick member in the family. So that's a lot to do with, I think, lifestyles and how we live as community members. And now, of course, there is also the issue of taking seriously the wearing masks and distancing. So distancing and all of these, I think we're still learning. And unfortunately, it's a little bit too late for many members of our communities. There is also issue with where people are working and support from employer like Tyson, for example, there has been some issues in terms of how they're taking care of their employees in this regard. Yeah, so it sounds like it's sort of the same issue everywhere. You know, the COVID virus is a collective problem and the solution requires an investment from everybody, individuals and from employers, institutions like. And while we're just on this topic, you know, what advice would you give to the Marshallese communities in Arkansas or in here in Hawaii? Well, you know, I think I would advise that we discontinue a lot of our community activities. I mean, we are a culture that comes together and we share in many aspects of our lives. And I think we need to be a little bit more careful in that respect so that we don't catch the virus or we don't spread it to other people that are part of our community. So we just need to refrain from usual activities. You know, we have a lot of birthday parties that bring people together and other ways of coming together. We need to put a hold on those for now. Yeah. Yeah, culturally it's very difficult and it's a real sacrifice.  I'm always pointing her out. It was just people want to go to church and that was quite an obstacle to overcome. But I think slowly but surely we're getting it. So we have to remind our families and friends that they still have to continue to be be careful and to socially distance. So let's talk about women and leadership now, if that's okay. Yeah. So for those of you who don't know, which is most people, I guess, President Heine was the president of the Marshall Islands when I presented my credentials as a New Zealand's ambassador. And I was so nervous. I prepared my bilateral statement and had it work through capital and I got to wear the Kodawai, the feather cloak. And it was a first hand sort of master class and sponsorship because I remember you told me, you asked me if I'd ever done this before and it was the first time. And you just spoke to me very quietly in a very calming way before I had to stand off on a podium before your entire government and give my speech. So I just wanted to take the chance and say thank you for that, for your sponsorship and your kindness and support. And yeah, based on your experience as a minister, as a politician, as a mother, as an educator, can you share your thoughts on the main issues facing women in the Pacific region? Well, you know, that's a very important topic for me personally and, you know, and for many women. As you know, new responsibilities in our modern world call women to be everything to everyone and much more. And so to meet expectations as well as to be taken seriously, we have a responsibility to be sure that we are well prepared to take on these multiple roles, traditional and modern ones, but to also create systems and networks to support one another. I really believe that women supporting one another is a key to success in getting into our parliament. You know, I among many like-minded Marshallese and Pacific Island women, including yourself, Karina, we believe that the advancement of women and girls, you know, in our communities is correlated with the advancement of our people and nation and region. So it's very important for us to get to that level where women are living their full potential. In the political space, the Pacific sees the lowest participation rates in the world. I think only about 12 percent of parliamentarians are women. It's a complicated issue, but, you know, as you know, in many fields, including politics, women have to be twice as better as their male counterparts to be even considered or to be taken seriously. And so getting elected is just as hard as keeping the seat. We are voted out easier and, you know, for inconsequential reasons where, you know, men would probably not be considered out. They wouldn't be voted out for similar reasons. In the RMI, women's participation rate went from or regressed in the last election. We went from 10 percent in the national parliament to about right now 6 percent. Also in the mayoral level at the local government, it went from 10 percent to 3 percent. So I'm not sure whether my being president of anything to do with this impact. I hate to think that that's what happened, but we actually regress. And the consequences of this regression will be seen in years to come. You know, right now our women have one of the highest birth rate in the region and we continue to have high rates of domestic violence. And women are not economically employed or, you know, the employment level is quite low. So these are a reflection of where we are as a country and where we are as women in our country. So we have a lot of work to do. I think my being president was unexpected. It wasn't something that people expect. And I think the cultural current can be played for or against women. And in many cases, and in my case, you know, I was told that I shouldn't be president because I'm a woman. And so that played a lot into my re-election or not re-elected because many of our traditionalist consider that the post of our president should be reserved for men. So we still have those kind of beliefs and these are the struggles and challenges that women have to face. But we continue to push forward. So in many aspects of our government, women are in holding lots of important positions. So there are some improvements in those areas as well. But when it comes to national political institution, it seems to be still reserved for men. Yeah, it's certainly not an issue in the Marshall Islands only because you are, to date, the only female leader of any Pacific country. Within the region, Australia has had a female Prime Minister and New Zealand has had three. And I spoke about this issue just recently on a podcast and the host, a fantastic young Samoan guy based out of Brisbane, was genuinely shocked when I just rolled out these stats. And I know it's extremely complicated and you've certainly just outlined some of the issues. But, you know, I'd love to just hear your take on why you think there aren't more women in government roles just across the region. I mean, I know a lot of young people will be really shocked to hear you say that there are still some views in the Marshall Islands where people believe or men believe that the office of the President is reserved only for men. But across the region, we're very different cultures, two different languages. And yet sort of the stats say the same thing, there still aren't more women leaders. So yeah, in politics, why do you think that is? Well, I think it's really culturally driven. In many cases, we talk about 50% of our populations are women. There are more women than men in many of our communities. But when it comes to voting, we don't support each other. Many of the women would follow the voting patterns of their husbands or their uncles or their father or their brothers. And so they don't necessarily make their own choices when it comes to political choice. So until we get to the level where women are independently making their own political decisions and political choices, we'll continue to be where we are, I think. So there's a lot of work to do there. There certainly is. Amen to that. My team are telling me, I could talk to you all day, but we're only going to have 10 minutes. I'm going to skip to some of the questions that I'm really keen to know about. So Marshall Islands has diplomatic relations with Taiwan, but PRC China remains interested in the region, as you know, as you well know. And so can you please tell us a little bit about China's role in the Marshall Islands and whether you have any concerns or just views about the impact of Chinese activities in your country? Well, you know, as you know, Marshall Islands is one of the four Pacific Island countries that diplomatic ties with Taiwan. We were six, two years ago or a year ago, and now we're down to four. Just a year ago? Just a year ago, yeah, when the Solomon Islands and Peterbys switch over to China with PRC, now there remains only four, and we are four of the smaller countries in the region. All of the big countries are affiliated with PRC. So the presence of PRC is quite extensive in the Pacific. There is no question that China in the Marshall Islands has been quietly nourishing its influence in the private sector, in the Marshall Islands through the private sector, through dynamic projects. Among almost all of our small moms and pop stores are owned by PRC citizens here. And PRC's presence is more also pronounced in our fisheries sector here. So China continues to cultivate the interests among Marshallese leaders to switch diplomatic ties to the mainland. I think the public is more generally pro-Taiwanese. So I don't think that the switch is likely to take place soon, but one never knows. You know, my government never entertained this question, and hopefully the current government will not, and they will continue to nourish and expand our relationship with Taiwan. And what about your assessment of the US China rivalry in the Pacific and its impact on either the Marshall Islands or the region generally? Well, yeah, that's a very interesting question, because we see these two giants jumping into the Pacific, almost like jumping into a pool, the huge pool that is the Pacific region, and sending their ripples all across the ocean that affects, and those ripples come onto our shores, and we see that everywhere. Pacific Island countries are getting a lot of support from China. I think China is now spending in the last 10 years $1.8 billion in the region. And during these last 10 years, China became the second largest donor in the Pacific region right after Australia, over to Japan and New Zealand. So they've been making their marks here. Trade activities also increased with China, something like 12 folds. So they're making their presence here, and unfortunately the US and its allies are, I think they're a little bit too late or their efforts here are sporadic. They're not consistent. The level of engagement is not always there. The level and the type of engagement that Pacific leaders look for are not always there. So I think it's important for the US and its allies to rethink how they deal with Pacific leaders, to take them seriously and to look at their priorities seriously. Thank you for saying that so clearly because it's something that you know I've talked about a lot and that I've certainly said to both Chinese and American counterparts, but it's always good to hear directly from somebody who ran a whole country. And yeah, I guess in the last segment of this show, time goes really quickly. Yeah, I'd love to talk about the upcoming negotiations between the Marshall Islands and the US about renewing the financial provisions of the Compact Free Association. And obviously it's a huge an important issue for the Marshall Islands for the US and also for the state of Hawaii. So just generally what do you think the main challenges are in the negotiations and then more importantly I think what is the Marshall Islands trying to get out of these negotiations? Well, you know as you know the economic package under the Compact ends in 2023. So one of our asks in the negotiations would be to extend the economic package. We've been talking about that and I think the United States is amenable to the extension. It remains to be seen how long the extension would be. But there is also our interest in engaging the US on addressing the nuclear issue and bring to closure a lot of the issues there. Now one of our concern with these negotiations is that the United States might not be willing to put the nuclear issue on the table. So to me that's a red line for the RMI negotiating side. I think we need to make sure that that is stable otherwise we shouldn't be talking to the US if they're not willing to address the nuclear legacy. That is important and needs to be taken care of. It has been so long too long already and it has created trust issues between the two countries because the US hasn't been willing to settle this issue to the satisfaction of the Marshallist leadership. But yeah I think that's a major concern for me and I hope for the negotiating team. Another concern is the fact that we're negotiating online. You know these issues and all the negotiations are being done online and the US is hoping to wrap this up by December and I don't know whether they will have any face to face. To me that's a concern. I think such an important issue needs real face to face discussion. There are lots of issues to deal with here that would impact the relationship and the Marshall Islands into the future and deserve real serious discussions. Yeah indeed the modalities do make it really tricky and particularly with such an important negotiation and so you outlined two of the major concerns the nuclear issue and for those of you who are not aware the US conducted a series of nuclear tests from about 1955 to about 65. The Castle Bravo test is that right and there have been ongoing issues ever since due to radiation and it's severely and significantly affected the ecosystem there as well so that's the nuclear legacy and the other issues and modalities but I think it's only time for one last question unfortunately. I have lots of questions but just sticking with the coping negotiations and concerns what do you think the main challenges are facing Marshallese citizens here in Hawaii and how does that play into the negotiations and I guess what I'm looking for is sort of answers. How can they be addressed for the community here? Well yeah I think not only for Hawaii but in the other states where Marshallese or FAS residents are are living I think there is an issue of lack of protection for COVA residents all across the US in terms of their ability to access healthcare. At one point they were able to they were eligible to receive Medicare but then you know that went out and now there is the discussion on the I'm trying to remember public charge regulations that you know how are they going to treat FAS residents again that comes into question and people feel a little bit restless because they don't know what those public charge regulations would look like and how they would mean for for FAS citizens in the US. So this is a major concern and that created a lot of animicities for Micronesian residents in you know where they're residing in in Hawaii for example there are issues with housing medical care and people feel that FAS residents are thinking over some of what they should be eligible for or what they're meant for and so create animicities between groups and and I think it's unfair for the states to have to pick up the the tab for a lot of these issues that are federally created and so you know we see discrimination and and we understand we're the we're the last group of migrants to come to Hawaii for example so there is bound to be some discrimination but I think some of these other issues if there is protection of COVA residents by the US federal government in any of the states I think that would alleviate some of these issues that we're experiencing now. Dr. Heine, thank you so much for your insights and for joining us today and that was an extremely measured response I know that a few congressmen who would really appreciate those comments but thank you again you've always been so generous with your time for me and for everybody in in the region so um Komaltata and hopefully stay safe and hopefully we'll get to talk again soon and for everybody tuning in today thank you very much for uh for watching East West Centre Insights. Mahalo. Thank you. Thank you.


When the narcissist sees you with someone new When they see that you have moved on When they see that you have found someone else And you're happier without them When the narcissist sees you with someone new They will be very envious and jealous They will feel like something has been taken away from them and And they will have a desire to take something from you Once you have been with the narcissist They see it as though that's it for life They see you as their property As an object that exists to serve them in their minds They invested a lot into you So now you belong to them Even if all they did was cause problems and inconveniences in your life They don't believe they did anything wrong They don't reflect on their own faults or mistakes So in their minds you had no right to leave You had no right to move on and find someone else Even though all they did was make your life miserable Even though they may have discarded you They don't want you to move on and be happy They don't want you to be successful They want you to be miserable just like them So they will try to come back They will try to get back in your life again when they see that you're moving on And they will try to sabotage anything that you're trying to establish They will either come back on their own Or they will get one of their flying monkeys to do their bidding Because they just can't stand to see you moving on They just can't stand to see you being happy with someone else The very envious and jealous people When they see that you're happy it just reminds them how miserable they are And they cannot deal with their own negative feelings So they will try to destroy whatever it is that's making you happy to regulate their emotions When the narcissist sees you as someone new They will also come back out of curiosity Or they strong desire to learn or know more about your situation They will want to know if you're really happy without them Or if you're still attached to them Because they want to feel like you still want them They want to feel like you still desire them Not because they care about you Not because they want to make things right But because it feeds their ego Narcissists want to feel desirable They want to feel wanted by someone They may act like they don't care or so they've moved on But they're still thinking about you They're still competing with you They never move on They never forget about you As soon as they start to see that you're moving on They will come back with their love bombing Or with threats and intimidation Whatever they think will get you under their control again The idea of you finding someone else Makes the narcissist very uncomfortable They can't stand to see you being happy They can't stand to see someone else having a strong influence on you Someone who is outside of their control So the narcissist will come back And try to get this person under their control They will try to sabotage your new relationship Or if they can't do that They will try to befriend your new relationship partner They will try to bond with them Because they can't deal with the idea of not being able to be an influence in your life There's something constantly triggering in their mind Where they're always wondering what they might be missing out on So they just can't stay away They always have to come back to see what's going on To see if you're still thinking about them Or to see if you've moved on They never wanted to do what's right for you They never had your best interest in mind But their worst nightmare is someone coming along And doing what they never did for you Someone treating you right Because that translates to them that they were not good enough It tells them that someone else is better And it makes them feel small And it's that feeling of inadequacy that they cannot deal with Which is why they come back Which is why they try to destroy your happiness Because they could never make you happy They were too insecure to do that for you But if you've moved on and found someone else Who is secure enough to witness your happiness It just reminds them how weak they really are Because they could never sit in that space for you But when someone else can It just reminds them that something is wrong with them And they don't like how that feels When the narcissist sees you as someone new They can't accept that you are happier without them They have to tell themselves that something's wrong They have to tell themselves that you're not happy That you're just pretending Or you're just settling for whatever you can find They cannot accept that you're happier without them They're very selfish They need you to be constantly focused on them So when they see that someone else has your attention They will come back to cause disruption Because they just can't deal with the idea That they have lost control of you They no longer have an influence in your life They no longer important They're always lurking in the shadows They're always waiting to see just how important you are to them But when they see you as someone new It's a wake up call for them It brings them back to reality And that is something they don't want to deal with So they will entertain their delusions But you just need to keep moving on Keep doing what makes you happy And let the narcissist do what they do best Let them watch Let them study you They were never strong enough to be a willing participant in your life But now you've found someone who can This may trigger the narcissist to reflect on their insecurities But that has nothing to do with you Just keep doing you You shouldn't have to tone down your happiness To make someone else feel more comfortable Your life is yours to live They had the opportunity to share that with you But they threw it away They took it for granted Narcissists never miss what they have until it's gone But you can value what you have You can give it the nourishment it needs to grow And that is a beautiful thing So enjoy it And let the narcissist hate Let them wallow in their mud And you just keep doing you You just keep doing what makes you happy After everything you had to go through with them Live the life that you deserve Thank you for watching I hope this video resonated with you Please like, comment, share and subscribe If you would like to donate My payback link is in the video description Coaching inquiries You can email me at coachinganart survivor.co.uk Thank you for watching and I'll talk to you soon


Hello friends and welcome back to another Max raid event update video. My name is Lee also known as Osiris and today We're gonna be looking at a brand new Pokemon available for us all to catch in the wild area for another limited period of time So we had the EV event last week the G max EV the week before that we had G max Pikachu and this week I'm pretty sure all of you can guess what we're gonna get and it is gonna be that G max me out So without further ado, let's hop over to our trusty source in Cereby and take a look at the details here For this particular event because as you can see it is running from today Which is May the 25th until the 1st of June which would be next Monday. So we've got the same We've got a week to catch this Pokemon and again It was one of the the Pokemon that was a kind of an exclusive early on in The release with sword and shield and if you missed that unfortunately wasn't available anywhere else in the game So it's nice to be able to have this opportunity to get this Pokemon Especially if you missed that event or if you've got the games a bit later And as you can see the one star and two star and three star all the same and you're gonna Yeah, there's no real special items. You're gonna get here and other than you've got a 30% chance to get a big nugget 30% for a regular nugget and obviously 30% for the rare bone there. So the only reason I'm mentioning these is Because that you can sell them for quite a lot of money, which is quite nice If you just cycle and through these of these raids and catching a lot of them There's a good chance you're gonna end up with a lot of nuggets that you can sell and you know use that money for other Things which is really useful and but we get down at the five star obviously everything is exactly the same in sword and shield And you can see other than that. There isn't really too much about it I would imagine the Meowth is gonna have access to its inability. I'm not 100% sure on that But hopefully when we get into the game and we catch when we can have a look and hopefully maybe get one of those But yeah, I think the big thing here is just a quick one today really that The event is running from the 25th of May to the 1st of June and then we'll get something brand new Next Tuesday, which will probably be the final thing for us leading up into the release of the DLCs Which hopefully are very soon still haven't had a confirmed date, but It'd be hopefully we get something this week be amazing if we do if we do I'll obviously be covering it as well So do stay tuned for that and so once we're back in the game as always what you need to do is just go to your mystery gift You want to get wild area news? You'll connect to the internet and once you have it will do its little thing update and That is that so We did have an Evie in our den here, but now it should be a Meowth, which is amazing Okay, and the other thing I'm gonna do before we jump into this battle is there are actually and mystery gifts running as well for Well a limited period of time, which is quite good. We've got time Pokemon and running Get mr.  So the first one is actually running right now Which is the glaring mr. Mime it has its hidden ability ice body and it will be running I think all of these run until the 29th of June. I'm pretty sure that's when they run till And I will definitely find out and post an update if not down in the comment section But what you can do you get a bunch of Pokemon balls as well and obviously the glaring ponytail be run next week with more balls glaring course alarm with a following week with Evolution items and then the final week will be glaring me out Which would be really cool and you get a hundred XP candies and 50 large nuggets. So that is the one that you want to be going for and this is a complete tangent here they're going along and Covering this but I just wanted to do before getting to the den. So what you want to do is come into your mystery gift and get via the internet and then It should just pop up literally I'll just search do its thing and there we go. Yeah, and then we'll get glaring mr. Mime and a bunch of pokeballs So you can do this as well and just do it every week But like I say that final week with the glaring meow That's the one you want to be getting because those Hundred large candies are going to be so useful for leveling up especially for the DLC. Um, I'll come Yeah, I'll come back. I don't know what that is. I'll come back for that one later And but more importantly, we need to get back into this and see if we can get ourselves this meow So we'll jump in and we'll have a look what we get with it, but yeah, I Think it's an it's been a nice event to have in the the wild area the last Three weeks with these Pokemon I've probably enjoyed the Pikachu one that out of all three the most because the lightning rod ability that we got with G max Pikachu and Just yeah, I'm interested to see what they do next for because I'm hoping still that we we get some You know, maybe the the fossils with their hidden abilities before we get the DLCs I mean that would be incredible, but I I'm not holding my breath for that. I think that's something that will probably get with the DLCs or And a lot later on is an event. Maybe yeah down the line I hope not a year who knows who knows when we'll get them But yeah, it'll be interesting to see what they do next obviously next Tuesday They will be doing another event in the wild area And hopefully that is the one that is going to be leading up to the DLCs and there we go Meowth is down so we are going to be able to catch this thing The catch rates are probably exactly the same as they have been throughout. So I'm not the best. I just want to guarantee it People should give us the best chance of catching this Pokemon Yeah, and have fun with it I I presume that it's not going to be you're not going to be able to evolve this meowth like you were the Eevee Or the Pikachu so I would imagine it's it's locked from evolving which is a little bit unfortunate But if you want an Alolan Persian, I'm sorry canter Persian You can breathe it from this Pokemon and get yourself just a regular meowth that you would be able to evolve That way so for those reasons it's kind of useful. So we've got ours is just a four star So we've got the candies We've got a rare candy, which is quite good and a regular nugget sleep talk focus energy and sword stance. So I'm not gonna scoff at that. That's all right. It's been added to our party and we can have a look at it Don't pick up. I'm not even sure if that is a tinnability or not I don't know but anyway, there he is in all these glory G max meowth Very good for getting money and farming money because of that G max move So a useful Pokemon you can do The the lead challenge every day and get like a a bunch of cash for doing that So it's a really good way to to abuse meowth's ability with its G max move Um, I think that wraps everything up I probably went on a bit longer than what I wanted to in this one But I did want to mention the mister mime gift that is running the minute and the rapid-ash in the other ones And I will do a reminder of that final one when it does him We'll be back next week to cover the next events and we'll keep our fingers crossed. It's something good Thanks so much for tuning in. Hope you have a great day my friends And I'll see you all for the next one so until then take care and bye bye


So my question is about trust and you know I'm fully with you that you say Bitcoin one of the sort of central innovations here is that it's trustless and then it seems a little bit strange to me that you then say there's a revolution in trust because this is trustless and what a like it seems to me that a more accurate way of phrasing that might be like there's a revolution in self-reliance like you you radically trust yourself to keep your own keys secure and all of this kind of stuff and I think that you know like as a computer user you know relatively able to keep my computer secure and and use these things that's you know enormously sort of attractive to me but I wonder if it then sort of brings in issues of social scaling so not necessarily the technical but like this radical self-reliance does pose quite an issue in terms of the social scale that we're talking about right that's a really great observation I think when I say a revolution of trust what I'm talking about is that when you organize trust in a decentralized manner eventually you come to trust in the aggregate operation of a network network centric trust and the aggregate collaboration on the same consensus rules of thousands of participants you can't do the Bitcoin trust by yourself you don't trust anybody but in the end you trust the system because everybody's using the same consensus rules so you have this emergent model for trust in a network-centric games theoretical market-based security system that is massively decentralized in terms of self-reliance this is a tricky one we're at the infancy of this technology which means that today one of the biggest challenges is that it's very difficult for individuals to secure their own Bitcoin and in many cases that leads people to rely on third parties and get goxed right and concentrate all of their funds in one big shiny honey pot that is an irresistible target and you know as I like to say there are two types of centralized exchanges in this world those that have been hacked and those that will be hacked so that's a problem now you can look at that and say that's a problem that's insurmountable and write an article about it just like those journalists did in 1997 or you can say huh that's a problem that if I solve with simple to use easy to backup devices like say hardware wallets and take the cost of that down or embed it in a smartphone or build it as a trusted chip or make it into a necklace and make it so cheap that you can buy this device for a dollar now that's a billion dollar market right making Bitcoin easy to secure in an individual empowering way that doesn't require you to centralize your assets that's a billion dollar project and I think what we're seeing is the rapid development of exactly that so is it easy absolutely not most people who have Bitcoin okay let's do a quick poll how many of you who have Bitcoin are absolutely comfortable that your Bitcoin is secure I'm not raising my hand that's just asking for trouble right that's tempting karma I am reasonably certain that I have managed to maintain my security for the last five years and you know I have a master's degree which was mostly focused on information security that's not the level that most people will have so how do you make it easy for everyone how do you make it seamless how do you make it transparent how do you make it invisible there are great companies that do just that I like to tell people I sent my first email in 1989 my mother sent her first email in 2009 20 years the day after that sending my first email involved downloading mail software from the BSD distribution compiling it with a compiler on a UNIX command line firing it off setting up a mailbox attaching to a remote store and forward UCP copy server sending the email waiting three days for it to traverse the internet it laps time six hours of highly complicated computer science my mom went swish on her iPad right that's the that's the skills gap so how do we make it so that securing your Bitcoin is swish and the company that solves that and it is solvable and makes it intuitive reflexive that company is going to be very successful I think there are a lot of companies competing for exactly that so you're right we're not there yet that's why I say we're in the Internet of 1992 there's no DNS there's no web you use Archer and Gopher to get information sending an email is an exercise in frustration and you have to compile all of your software right still two years away from Netscape that's where we are and that means that for now this is not going to be a broad based phenomenon it is going to be something that it requires a lot of technical skill we are not the early adopters those of us who are involved in Bitcoin we are the lunatic fringe the early adopters of five years out right that's what it means to be involved in this space and it's okay if your friends are making fun of you you're probably doing something interesting