Alright, so in this video I'm going to share the best things to do in a lucid dream. The most interesting things stay around and watch this video There'll be some interesting things you've probably not heard of in this video get lucid by the way for using whatever technique you want and Fly across mountains flying across mountains is beautiful It's a very inspiring way of just using your power and experiencing the mountains And it's so fun to just fly across a mountain scape and look down and it's just beautiful number two teleport to new Worlds this is one of the most fun things you can do in a lucid dream and it's a very interesting way of Traveling around the lucid dream world. You don't have to walk or run You can just teleport just imagine the place that you want to go to click your fingers and then you'll be there It's all about expectation number three the third best thing to do in a lucid dream is time travel You can do this literally just by thinking about it imagine the time that you want to experience click your fingers And you'll be there number four meet famous celebrities you can meet anyone in lucid dream It can be Albert Einstein. It can be Miley Cyrus literally anybody you want to meet alive or dead You just click your fingers or walk through a door imagine they'll be on the other side of the door and just like that they'll be there number five I would actually give you a sort of a warning before you try this But try and convince another lucid dream in character that they are in a lucid dream And what you'll find when you do this is that they will freak out They will not know what to do those the the reaction they will have is completely unpredictable But just go up to a character and just try and have a conversation with them convince them They're in a lucid dream and just see what they do number six talk to long-lost relatives or friends This is a good way if you've lost contact with someone or for example They passed away it's a good way of getting back in contact with them and just having that Experience with them and it feels very real very good thing interesting thing to do in a lucid dream number seven practice a job interview The lucid dreaming world is a perfect place to practice things that would otherwise be annoying or difficult or impossible to You know in the real world with no consequences The benefit is that if you practice a job interview you will genuinely get the confidence that you would have got if you had Really gone to a job interview number eight in the same way face your fears If there's something you're scared of for example dogs go and experience it in a lucid dream and you'll find that the fears slowly dissolves In your waking life, and you actually become less afraid of that thing Just because you've exposed yourself to it in a safe environment like a lucid dream number nine star in a movie if you've always wanted to be a movie star just go up to a lucid dreaming movie or just you know manifest one and Then become the movie star number ten create lucid dreaming music This is the perfect way to be creative and unleash your creative side pick up an instrument You've never played and just you'll be able to play a lucid dream your mind will make you be able to play the instrument It's interesting to see what you come up with number eleven listen to lucid dreaming music Different sounds and ambient music and lucid dreams sound incredible to your mind because everything is amplified the best parts of the music And the experiences and how it makes you feel are all amplified massively in a lucid dream number twelve eat dream food One of the most incredible pleasurable experiences to have in a lucid dream is to eat lucid dreaming food The best foods are the ones that you typically would indulge in in waking life things like pizza chocolate cake crisps The things where when you have them in waking life, you just get that sense of indulgence and Pleasure and just letting yourself go and experiencing the food.  All right, and then just step forward and tell yourself as I step forward. I'll become the pigeon become the pigeon. I believe in you guys so That's it for this video guys if you would like to learn the full list of 40 things to do in a lucid dream There's actually probably more than 40 now go to my website how to lucid calm There'll be a link in the description to this article in particular I do actually also have a book telling you 100 things to do in a lucid dream 100 different unique ideas and Explaining in detail how to do each one. It's a Kindle book. It's a very available on Amazon. It's very cheap But it's also a very interesting fun read it's available also as a paperback. So there'll be a link to that in the description You can also go and check out my book lucid superpowers Which there'll be a link to in the description if you want to learn how to learn advanced superpowers like flights Telekinesis all sorts of mind-related things that you can have a lot of fun with Explains in very very great detail how to learn those skills as well as a bunch of other Advanced lucid dreaming hacks and tips so go and check that out the link is in the description And if you've got this far leave a comment letting me know the most unusual thing you've done in a lucid dream I really would like to know I'll up for it all up him the best one the most interesting one So I'll see you next time. Thanks for watching guys this video and this channel was supported by my patreon followers Please consider giving just a dollar a month to support this channel or just click the links in the description You'll find links to various lucid dream products articles techniques and tutorials if you did enjoy this video Please click the notification bell and subscribe and I'll see you next time Why are you still watching that you should have clicked one of my related videos by now right or subscribed or gone on to my website or something like that


My name is Rana Faroohar. I'm the assistant managing editor at Time magazine in charge of business and economics and I have the great pleasure of being here to speak with Professor Chris Pizzerides from the London School of Economics, a Nobel laureate who I'm sure many of you know and probably many of you know his work as well. The professor won the Nobel for his work in labor economics and it's very interesting. I'm just going to give a little bit of background before we move on to your new idea because I find it fascinating. He won for questioning the fact which was conventional economic theory that if you had an open job, an unemployed worker, they would inevitably come together and you were the first one of the first to really question this and much of what you found is now a conventional wisdom in labor economics. So the professor is going to share a new idea breakthrough idea with us today on employment and how to make the jobs that are being created now better jobs. So I turn it to you. Thank you. Thank you Rana. The idea what's been worrying me about recently in the last five or six years now is where are the jobs going to come from that will employ the young workers coming out of school. My focus has been the industrialized countries of the OCD, mainly Europe and how it compares with the United States, Japan. I looked at this to give you a little bit of the historical background. If you look back in the age of manufacturing, which was up to the 1970s when it started declining in our countries, many, many young people, the unskilled, the ones who left school early, were expecting to go into manufacturing or mining. They were becoming manual workers, very little skill, maybe a little bit of apprenticeship training, and then you got your job and you stay there. That's probably what your father was doing. Your mother was not likely to be working and society sort of knew what to expect in terms of employment. Now that route to a job, of course, has ended now following the oil shocks of the 70s and the decline of manufacturing, especially in the last decade with globalization and the movement of manufacturing jobs to China, India and other places, and we have to realize that manufacturing jobs are not going to come back to the industrialized countries of the OECD. Young people will have to go into services. Then you might say, what kind of services? Well, what's the most striking thing about service employment when we look around us? It's computerization. We see computers everywhere, electronics, so the obvious thing that might occur to you when you see it is to say, well, it's going to be in these services, so let's give them education, let's apply all schools with computers and the employment problem will be solved. In fact, that's the approach that the European Union has taken in the Lisbon treaties, the approach that individual European Union leaders took. Tony Blair, when he was elected prime minister, he said, they asked him what was going to be the initiative of your government. He said education, education, education, computer in every school for every child. He was driven by the whole European Union push for what they call good jobs. Now, if you look at the statistics, though, that's not the case. If you look at the statistics and especially statistics in the United States, because the United States is still the leading economy of the world in terms of where job creation is going to go, which sectors are going to develop, and usually Europe follows closely behind another 10-year gap, maybe in employment. Historically, you can see that. If you look at where jobs are being created, they're mostly in unskilled services that involve some kind of service provision for the individual or the business. So what you're describing is a world of services moving towards the high end, and you've said some very provocative things. We can't bring manufacturing back in rich countries. I mean, President Obama just gave a State of the Union speech that was telling us that we could, and there are a lot of companies that would disagree with that. You've also said that I think that we can't innovate our way out of the end of manufacturing and the shrinking middle problem, and we can't potentially educate our way completely out. Is that right? It's right. Those are big statements. Yes, I don't know how President Obama, I mean, I don't know how he could think that you will bring manufacturing back.  You could bring back or rather you could have high-tech manufacturing in our countries that, like countries like China, don't have the capability of producing now. But when you look at the number of jobs though that they generate, even in Germany, you see a line that comes straight down. The number of jobs involved in these famous export industries of Germany, they are shrinking all the time. That's interesting. So do you think that this, we should all be German's model, is overblown? It's not overblown in terms of exports and generating value but generating products that other countries want to buy so that we can get before an exchange and buy all the cheap products that we're not producing. That's basically the German model. But it's overblown in terms of where the jobs are coming from. The big number of jobs in labor-intensive sectors will always be in these non-tradable kind of services. You cannot trade health services. You cannot trade the personal service you get when you go to the gym. That's where jobs are needed. So sectors are not exposed to global competition, basically. Yeah, exactly. And many of these jobs that you've mentioned, home health aides, retail jobs, they're relatively low-paying jobs. So what are the ramifications of that? How do we fix that? Well, that's exactly what the challenge is now, in terms of making those jobs more respectable for young people who come out of school. Now, one thing that we always have to remember is that inequality in the marketplace is inevitable. What's different now is that the expectation of the young people might be disappointed because that's not the kind of job they might expect to get. There is also this fear that you're going to work for this big employer who has experience and employs thousands of people, and what protection do you have if that employer squeezes you? So these are the challenges.  How do you affect that cultural change and make these jobs better? Okay, you have to take a multi-dimensional approach as to where you're affecting these jobs, making them more respectable, raise their pay, and that's where they're spending more of my thinking time now. First of all, you have to start with schools and change the type of education that we're given in high school, in secondary school, to be more geared to this kind of job. Give basic training in health, in demographics, longevity, life expectancy. All these things, we don't teach anything at all in our schools. Talk more about how respectable this is, rather than spend all your time at least in English schools, but I'm sure the same everywhere, it's just I'm more familiar with those because I have children who went through this system. Tell them about the great industrial nation and how people used to go to the factory and work and all that. Tell them more about what's going on now that we have. Less mythologizing. Yeah, so the expectations are geared in that direction. I had two children who went through the entire education system in London and neither had any idea about these things when they came out of school. It was not mention at all. That's interesting. Yeah, so that's the more long term. What's interesting is that we had a meeting just a little while ago with CEOs of companies and when they asked them what did they think government could do most to help them in their recruitment. They mentioned precisely this point that the secondary school education is being outdated and government could modernize it by teaching things that are more in tune with where industrial society is going today. Now that's why. Now the second thing that government could do actually and they've become a great supporter of this is the minimum wage. Now the minimum wage, it could be a dangerous policy if it's too high. What about social safety nets too? I mean we hear the story we hear in the States all the time actually mentions the coffee shop that starts with a nest and how they give health care to everyone. We hear a lot about that and the benefits. Would you like to see more companies making those kinds of jobs have a better social safety net? My preference is closer to the Danish system. They invented the term flex security for it where the company is concerned only with employment and with enhancing your productivity through training at the company itself paying you a reasonable wage but then if the company doesn't need the job anymore it closes the job down and the state through the Social Security or National Insurance as we call it the South of the Atlantic gives a social safety net to the individual. Now that might be in the form of income support and then after a while it's in the form of helping with job search. Now that leaves a health provision of course and that's the big question the 64 million dollar question of our Western countries because health provision was traditionally in many countries provided by the state but and that's how the safety net was but it's obviously becoming too expensive for the state now to support that the whole range of services and both health care and health services that you might need because we were saying before demand is going up I think there should be a minimum safety safety net for health services rather than rely on the employer providing them but there should be a mix of state and public otherwise taxation would just be too high. Well I was going to actually turn to tax what should be done with tax policy as regards these types of jobs? I think we could raise the minimum income at which tax payment begins don't even ask them to fill in paperwork if they're self-employed if they do it on their own you know you have the self-employed 90 for example who looks after maybe maybe a few weeks maybe months yes in one household goes to another if pay is below a certain level that is fairly high don't ask them to have to keep accounts and declare it as well just have it as a tax-free pay most of them will hide their income anyway if you ask them to do it so why don't you just join them if you can't be them you know and and then have higher taxes higher up the scale now that also applies for big employers that that you might say okay fair enough for the self-employed with about the employer but that also applies there let you know give them social security holidays that we call them so they don't pay social security tax until they reach a certain level of income. Well professor I want to thank you so much it's a pleasure to speak with you and we thank you for your ideas. Thank you.


Hey Virgo! This is Kelly from House of Virgo doing your next 24 hours love reading. This reading is for all Virgos, Virgo sun, moon rising, or Venus. Some of the messages may or may not resonate, just take what fits, leave the rest. If you would like to get a personal reading with me, there's a link in the description box below this video. Just click that link and that will take you to my booking site. Okay, if you're new welcome and please do hit like, share, and subscribe if you enjoy this reading. You can also follow me on my other channel, Moon Pie Tarot. All right Virgo, we have the past energy, the present, the future. Okay, I knew this this three sorts was going to come out and because I saw it right in the beginning when I started shuffling. So let's take a look at the past queen of wands, Ariesio Sagittarius, two of wands and the five of cups. Okay, you may have been connecting with someone who was of the fire science. If not, this person just kind of had a seemed or came across as being self-assured and confident. Okay, and I feel like in the past this person was at a crossroads, either waiting for some results or had a decision that they needed to make in regards to relationship, maybe with you or something else going on in their life, but looks like there was some remorse or regret in the past. I feel like for some of you Virgos, that your person or this person was waiting for you and was sad, became sad because they felt like maybe this relationship isn't going to be able to keep going forward, unrequited love, not enough attraction or chemistry. There's a sense of like in the past sub-grief or this person felt abandoned or possibly felt unloved or that felt like maybe you felt as if, I feel like they projected that you either felt or you gave off the energy that something wasn't going to work out here. Okay, and I feel like this person was sitting in a position, like perhaps they were calling you or trying, they were praying for some way, some possible way for you guys to come together, but something didn't happen. There was a feeling of loss, uncertainty. There might have been inconsistency in this relationship or there was some emotional changes, somebody displayed maybe a change of heart. I kind of feel like this person was waiting for you Virgo and became saddened. Oh this is, I feel like I want to cry, became saddened that the connection didn't, wasn't able to keep going. Okay, deeply hurt. Hmm, it's interesting. Let's take a look at this Queen of Wands. Okay, two of sorts. Well, I feel like we have two twos here. Like this person was ready to make a decision about your relationship, was trying like had gone within and was ready to make some kind of compromise with you. They don't know what happened. Let's take a look at the two of wands. Look at two cups. Now we have three twos. Romantic love. I feel like they were waiting for you to come. They were, they already made a choice in the past that they wanted to be with you. Something happened. Why did this five of cups happen? Why this remorse and this grief? Wow, the tower, sudden change. Something happened. A sudden shift or a sudden change. Somebody abandoned or blocked or ended a relationship in the past. Either they did or they didn't think they had enough to offer you or you did or you both did. But because this is what I'm looking at as your person, there was a deep sense of loss and some regret about agreeing to letting the relationship end. I feel like it was sudden though with the tower. Let's take a look. I'm going to get another card for the tower. And now we have the two of pentacles. So we have all four twos here. Twos represent balance, partnership, diversity. It almost feels like an order for you and your person. You know there was choices here. There was a choice. There was a lot of choices that needed to be made and something seems like in the past it didn't work out and not just your person being sad but perhaps you as well. Maybe it was a mutual decision. There were many options, many things that needed to be weighed about this relationship and I feel like a juggler juggling. Something happens. The stage falls. Everything falls to the ground and it feels like unrequited love. There's not enough attraction or chemistry to keep this relationship going but I kind of feel like that might have been something someone was saying as kind of like oh okay well we weren't meant to be anyway right. However calling in your soulmate sits right next to that so there it's contradictory. Okay someone here in the past was like really wanted to have this connection. Really wanted things to go forward. Was praying, wishing and hoping. It wouldn't be like that or it wouldn't be this way. However everything changes in the present. Let's take a look and see what the romance angels messages are. Oh children. Hmm romantic feelings. There's a new beginning. Romantic feelings here. There's communication happening in the present. A spark. A new spark. A new start in love and an out with the old and with the new. A major change happening with this world card. Whatever situation was going on in the past between you and this person it's done. It's all the negative. Whatever negative. There's a new beginning in love here with this person with your person. Okay there's an initiation of love. There's courage willpower. Okay this is something that happens. It's almost like a blessing. It just comes out of nowhere and it comes from communication that comes from your person reaching out to you. Okay it's like the love begins to blossom again. It never was unrequited. It may have been like a stalemate situation. It just didn't go anywhere but the love was never gone. It had nothing. I feel like this unrequited love was just something that someone was telling themselves in the past. Kind of like rationalizing something that ended. Kind of like saying well I guess it just wasn't meant to be or we just weren't a good match and there wasn't enough of this and that but that was more of like a soothing thing.  Okay there's romantic feelings here. A new spark of romantic feelings and there's also something here to do with children. This connection may have something to do with children. Actual you know your own children or having children or it could have something to do with being playful. Having childlike playful energy again. Let's take a look at this page of wands. Oh wow the high priest. This person's like ready to like they communicate with you. Let's do it. I mean to go from this there might have been a stalemate. Maybe it just didn't it didn't progress the way you wanted and maybe you were the one that just said oh it's not going to work out but maybe we're still calling you're still talking to each other in the past. Not fully ready to let it go. That spark Virgo has not left. It's still there and it blows up into this ace of cups. We have Taurus energy here. We have Scorpio energy so far. We have Leo Aquarius, Aries, Sagittarius. So the high priest as usual conforming to traditional roles and what does that mean? Traditional rules is like rules following through. It's almost just like this person maybe wasn't sure that they could meet your needs in the past. Maybe they ended it but now here they are. There's a big shift. There's a big change. I feel like there's a phone call. There was still some type of connection. Phone call, texting, whatever it might be and if it wasn't it's just that feeling of that energy. You guys are still connected vibrationally in some way and then as soon as you begin talking again it's like whoosh the whoosh everything comes back around okay and it just kind of feels like this person wants to talk to you about either marriage or a committed relationship. Let's get another card for the high priest. Now I have the two of wands again so it's back on. Communicating with you. Waiting to hear what you have to say about that okay. They've been waiting. I don't feel like your person ever fully left. They may have communicated with you and said oh I guess it's not going to work out or it's not what I want or I can't or you know let's just be friends. It was still staying in some kind of connection you know or there was just this energy of like them telling themselves and giving the impression that it was done but no the connection is not done. There may be some type of proposal okay could this person I feel like there's marriage here whether it's for real like you know legal or spiritual union sacred union queen of cups. Cancer Scorpio Pisces in energy and she does not have a lid on her cup you know this person is bringing you you know it's almost as if they get infused with this love and then there's inspiration which aces are always you know new beginnings of a new sense of inspiration okay. Inspired to bring you this love and support that they have within them. I don't feel like this person really wants to give up. What's the world here? The world is definitely completing some kind of learning some kind of lesson. Your person definitely in a position of learning some kind of lesson. One of those lessons is the need to be more consistent and work on the partnership. There's romantic feelings here and there's going to be some type of exploration of the emotions between the two of you. I feel like the way you two will be communicating on a romantic level will be more like childlike. Perhaps you both kind of are gun shy or skittish about expressing romantic feelings. So the way you express them to one another will be kind of cute. Childlike puppy love kind of thing. I feel like your person Virgo is going to be showing up with like okay I can do this tell me what to do. I'll follow your rules. I'll fall into place you know with that horror font. Whatever it takes and enjoying it. Okay I just had something I was looking at this future. Getting to know each other wow and making the effort. There we go. As you reveal your innermost selves to each other your bond deepens. Great love is worth taking the steps you're guided to take. So I feel like your person is coming in with some truth. They're going to start communicating to bring you clarity. Total honesty here. This is Libra Gemini Aquarius energy. We also have Capricorn. They're bringing you some clarity. I feel like your person is going to really open themselves up to try to reveal how they feel and who they are. Stuff that maybe you just didn't know. Some truths coming out. Let's take a look here at this Queen of Swords. Wow this star. Very healing energy. This deepening of this bond. Aquarian energy here and that star. That's a renewal. That's hope. A miracle. Some of you might be like what? It's a miracle that this person is talking. Okay but I feel like they're going to put a spotlight on who they are and share and reveal themselves to you. They want to renew your connection. They definitely want this healing within themselves. Maybe they'll tell you they've been getting some healing and working with them counseling or just sorting things out on their own. I'm going to get another card for this star. Going and getting some type of help. Here's the world again. This person is ready to shift out of this old cycle. Even if you feel like it's not something that's going to work for you, they're going to do their best to show you that this is what they want with you. Even if you've ended the relationship, they're going to try really put in all their effort and do whatever it takes here to not have this connection end. Now the devil is here. So this is an energy of like the devil can represent addiction greed, that kind of thing. Maybe there's something to do with addiction that they're letting go of. Maybe they're having some kind of heart surgery or something but this is also the devil. This is all about attachment but it's unhealthy attachment. So there may be some kind of communication about that as well. But I also feel like your person will also tell you that they just cannot let you go. They may not be very good at love but they definitely know that you're bound for life and they don't want anybody else and you don't either Virgo. Let's get a clarifying card here. The sun. Yep. Coming out into the open, they want a successful relationship with you. This person feels like you guys are, when you met it was like instant, instant attraction, instant meant to be energy and I don't feel like this person ever intends to give up on you or to let this connection go. I feel like they are hoping and their intentions are to have a joyful connection with you. Happiness, sunshine, come out of this dark place that they were in and that maybe they led you to. So what's this three of swords here for? Okay. For some of you there might have been an interference, third party interference. Now that can be a person, place or thing but you know your story. They don't want to argue anymore. Here we have the Wheel of Fortune. They don't want to have their heart broken anymore. If there isn't a third party thing going on, I'm not predicting that. I'm just saying if you know for a fact that there was, okay, but I feel like here they don't want their heart broken anymore. They don't want to break your heart. I feel like they come to terms and confess that they've hurt you. Also that they felt a great sense of loss and depression and heartbreak when you guys were not together and the Wheel of Fortune, this has changed. This is in both of your favor. This is a turning point. They're taking a gamble with you and to make the effort, they really want to try to really get to know you, not just, you know, the physical stuff and like really get to know you and they really want you to make the effort to get to know them like on a deeper level to deepen that bond. Okay, let me get some romance angels cards. Let me see what this person's romantic feelings or deeper inner feelings are for you Virgo. I regret lying to you. Financial challenges are affecting this connection. I'm so attracted to you. New love or recommitment to love is developing here Virgo. You've learned the spiritual lesson. Wait, the timing is not quite right.  And so is your person and you're both maybe separately learning to master the growth that you both have been having to change the dynamic of this relationship in some way. I see this here. This new love energy is like, it's not a new person. It's a recommitment to one another, but in a new way. This person is crazy attracted to you. There's no doubt here, nobody else, but they did lie to you in the past Virgo. And there's regret about that. And the financial challenges, I'm not exactly sure what's going on with that. Somebody here is having a struggle financially. It could be you or it could be your person. Or it could have been both of you together that may have had an effect on ending something in the past. Somebody might have been very irresponsible. But it's safe to make the move. You're considering this person is taking a leap of faith here with you Virgo. And I know you're like, what? They want to tell you how they feel. Now, for some of you, maybe they've done that before, but this time it's going to be a little different because this is revealing the truth to get into this healing energy here. This is like renewing this connection and opening up and telling you about the things, their fears, their anxieties, their obsessions or possessiveness, or the negative things that have been trapping them, which is not the things that you may have heard them confess before. And you feel when they tell you this a sense of relief. They hid behind material things. And remember every detail of that day, this has something to do with some time you guys spent together. You went out somewhere or you did something together. Maybe they bought you a lot of gifts or they paid for something. Their intention was to bring good to you. This is something to do with some time that you guys spent together here. That maybe they were not sharing their emotions, but they were offering things to you. It doesn't have to be rich, expensive things, but offering things to you as a way of giving is a way of expressing. Yeah, regret. Someone feels remorse for the way they treated you. Are they coming back because of the regret? Virgo, I say this all the time, regret is heavy duty stuff.  Rejection, we can get over rejection, any of us. But regret, that right there. The only way to remedy regret, if possible, is to just go in and remedy the situation. I don't feel like your person or you want to live with regrets. And I feel like your person wants to just try to come and avoid being in a state of regret. But I don't think it's just to level the playing field or to make everything neutral. I feel that this person truly does love you. And their intention is to not lose you because of this love that you experience together. So it's been a rough road for you, hasn't it? I'm just going to pull one advice card for you, Virgo. Right, end your reading. One advice card for Virgo. Okay, we have a jumper. King of wands, motivational, inspiring, theatrical, ambitious, take a leadership role, Virgo. Step into the spotlight. This could have something to do with public speaking, keeping your eyes on the big picture, Virgo, not the details, the big picture. Communicate your vision. Don't be sensitive to criticism. Okay, you're being called to be charming and courageous and confident during this time period. And I'm just going to get one more. Okay, again with the two, two of pentacles. The need to bring balance and fun into this relationship. Okay, don't sweat it, Virgo. They love you. And I feel like they're not going to let you go and they are going to come forward in your life and try to make things right with you. Okay, in the meantime, Virgo, focus on your work. Try to bring balance to your work, career, social life. Okay, bring balance and fun into your life.  Balance your budget. Okay, and don't sweat things because I do feel very positive with your reading that things will work out for you going forward with this person. Okay, so get some sleep, get some rest, dive into a Netflix show, distract yourself from your worries and your fears. Spend some time with friends. Go have a very nice blueberry liqueur summery drink. I don't know what to say. Do whatever you can to make yourself be in a positive place. Okay, Virgo, so that's your reading. Please do hit like, share, and subscribe on the way out. And if you want a personal reading, link is in the description box below. And I will see you guys very soon. Also, oh, on my other channel, Moon Pitero, if you would like to get a mini reading from me, show up on my channel on Saturday between 11am and 1pm Eastern Standard Time. And I go live at that time and for $20, I will pull three cards for you and answer any question that you like. Okay, so if you get a chance to show up there, I hope to see you. All right, Virgo, take care. I love you guys. Bye.


I said GGs he said, I guess I don't know what I'd say.  So let's go. Yes, back where his user was. Get in there. From a narrow for us to find ourselves here at the Super Bowl. I won't lie to you gentlemen. There have been Mickey Mouse rings. I'm just like LeBron. And Madden 23, I've had some very legitimate rings, but I won't lie. I've had some cake walks too. Back-to-back rage quits at some points. Playing the bummiest of bums in the playoffs. But if I'm LeBron, then this is the Cleveland Cavaliers down 3-1 to the best basketball team of all time, the 73 and nine warriors. My average win margin this season of Willa Mut is what, three points? Maybe three points? I won a game by one single point. The last two games I've won by a field goal. And in the NFC championship, we finally had a double digit victory, 17 to seven. That's the biggest win we've got all season. So I'll tell you something right now before we go into this Super Bowl. All rings are rings. And when it's all said and done, the history books will just say Papa Meag's Super Bowl. But between me and you, between everyone watching this video, this would be the most important ring. How would this affect Papa Meag's legacy? Let's find out gentlemen. Look, I'm not the Philadelphia Eagles, okay? I don't just get a cake walk to the Super Bowl. But damn, I mean, if I had to choose between playing the Giants and then the Niners without a quarterback or playing the Jaguars in the Cincinnati Bengals, I think I would rather be the Philadelphia Eagles. If anybody had a rough, it was the Cincinnati Bengals. Cincinnati Bengals had to beat three teams just to potentially get to the Super Bowl.  They had to play the Ravens, then the Bills, then the Chiefs, then the refs. They had to play four teams, actually. Oh, so if you need Madden coins, make sure to go to InstantMaddenCoins.com. You can buy coins or players. I recommend buying players. It's the safest method. You're gonna get a way better deal than what EA would offer you.  Enjoy the rest of Wheel-A-Mut, baby. Well, as we move into the Wheel-A-Mut Super Bowl here, there's two things to think about. One, what do we upgrade with our wheel spins today? And two, who do we prestige? The prestige is really difficult for me. I think an offensive line prestige like Quentin Nelson or Marshall Yanda would probably be the smartest. It was very difficult to get my hands on this Marshall Yanda. He'll be an end-game guard. Whereas if I prestige Megatron, Megatron would be a very good corner right now, but he will get outdated. It's hard to say Aaron Donald's a very good prestige right now, but he will get outdated too. When I look at this team and think who's most likely to get another card, I think Damar Hamlin will very likely get a golden ticket. But golden tickets are gonna be a while until we get those. So that's out of the question. Mike Evans could get a team of the year. I don't know. I don't wanna base a prestige off of who might get a team of the year. The other thing is, I'm hoping Jason Kelsey gets a Super Bowl card. Don't know if he's gonna get that or not, but we'll have to see. I'm gonna be totally honest. When I look at my team right now, I do not have a prestige that I like. All right, gentlemen. It all comes out of this. Three wheel spins, a challenge wheel, and a Super Bowl. Always the best episode for Wheel of Mutts. Ooh, I have to do this so smart. Okay. So it's 95 jackpot, which is really good. My team is kinda stacked, so I don't, I don't think it's gonna be any ridiculous player. There are no 95 overall punters or kickers. My offense is so good. I'm tempted between a wide receiver that I would potentially prestige in case they got team of the year somehow, or a corner. I think I do wanna stack my corners. I think stacking corners is really, really important. Oh, Kudo's gotten us really far, and I'm very proud of him, but I think it's finally time he gets replaced. We've got a 95 jackpot. I can't say that this would be a prestige. I don't know if he'd be a prestige. The only thing I don't like about Charles Woodson is he went to the University of Michigan. Charles Woodson is an animal, though. Six foot one, 95 speed. Another one of my favorite things about a Charles Woodson is that 80 hip power. 80 hip power is actually really good for corners. There are corners like Primetime who have 55 hip power, and when somebody's King Henry or Quadfather gets out to the edge and you got Primetime out there, you have 0% chance of making that tackle, so I like a guy like Charles Woodson. So now we'll have Megatron, Jason Verrett, and Charles Woodson.  I am happy with what I decided here.  I'm subbing him in for a Kudo. He's got good height and size too, which I love. Six one and taller is how I want all my corners to be. Definitely gonna get a free pick artist here, so we'll throw that on, and there we go. Charles Woodson added to the lineup. All right, our second wheel spin. I'm really hoping I can somehow get a hold of the Scottish hammer. And if not, I'm gonna go full prestige on this pick right here. It's the height jackpot. Wow, I could take any player. They must be the height this lands on. If I get Black Santa, it's a jackpot and I get to choose. So wish me luck, baby. Come on, Black Santa. Oh my God, that might actually be Black Santa. Oh my God, keep going. Keep going. Keep going! I have a feeling that really good punters are tall, so I'm gonna bet everything that the Scottish hammer is not six foot tall. I bet you he's six three, but I'm gonna click on him anyway. Six one!   Oh! Earl, has your time come? Earl's time might've come. The only thing, dude, if I get Quadfather, if I get Quadfather, I'm gonna have to pres- I'm gonna feel like I have to prestige him, but I don't have to. I gotta do this, dude. Quadfather is, I don't have a choice. I legitimately don't have a choice. That's actually all the coins I have. I hope my next wheel spin is packed, so we're gonna have to sell some stuff. That's fine. AJ Dillon the Quadfather, one of the most busted hat bags ever put in this game. Earl Campbell, you got us so far. It's AJ Dillon's turn now, I'm sorry. Let's look at our abilities though. So Lamar's been amazing with his abilities. I don't wanna change them, but I need to free up two AP for AJ Dillon. I don't think Hawkinson needs a deep out elite. I'm gonna get rid of nasty streak on Kelsey. I got an insane backfield, 97, 97, 96. I'm loving it and things are looking good here. You know who wouldn't be a bad prestige either is George Kittle, because George Kittle is totally gonna get team of the year, but I just don't need that. I might actually prestige O-Line. Our first two wheel spins were absolutely insane. This third and final wheel spin will be the last thing we do before the Super Bowl. I can sacrifice two elites for 194 overall player. I think I'm gonna upgrade D-Tackle. Jeffery Simmons is good, but if I can get a 90-40 attack, it'll be even better. So I'll sacrifice Jeffery Simmons because he's gonna come out himself. And I'll also sacrifice the 93 Roger Saffold that I pulled last episode. All right, I'm gonna go turn this training into coins and then grab myself a 94 D-Tackle. Who that is to be determined. I can't stand it. No shot. No shot, I just, no. No, no, no, no, no, no, no, no, no, no. Holy shit, I actually just pulled 94 Mike Vic. Just, I'm learning farming training variety packs to try and get, oh my God, no wonder I have a gambling addiction.  I am simply upgrading your boy. Yup, I got it by about 800 coins, baby, Jeff Simmons. So I sacrifice 91 Jeff Simmons and 93 Roger Saffold for 94 Jeff Simmons. He's just gonna be a better version of his former self. That's the idea anyway. Gets one AP inside stuff, but he also gets some zero AP abilities. Damn, it would have been so nice if he got inside stuff and another free ability. Nevertheless, it's just gonna be the same as what Jeff Simmons did except with even better stats. 87 speed is absurdly fast for detackles. So if I got a QB spy, that's amazing. 64, 94 string. And the stat I always look at is black shed. Black shed is so good. And then you only need one out of power moves and finesse moves to be good. But if both are good, that's even better. So 95, 96, 92, this is actually, this is an incredible detackle. Low key, I might actually put this year's prestige up to a vote. I might let you guys vote on Twitter. When you guys think about that, I've never let anybody decide to prestige other than myself, but right now, if I had to pick a prestige, it would be between Jeff Simmons, Megatron, Aaron Donald, Mike Evans, Marshall Yanda. Those are the only five options that I legitimately am considering. Okay, I can't worry about that right now. I gotta worry about winning the game. Here is the challenge wheel for our Super Bowl. And once this challenge pops up, dude, three rushing touchdowns with how crazy Lamar's been and getting Quadfather and our online. This is doable. The Super Bowl challenge wheel is always the most important. If I can complete this challenge, I'll get one of any pack in the store to start next season with. This is so, so, so good. It's been a while since I've completed a Super Bowl challenge. It's not easy to do. Failed to start a game and unexpected error occurred while starting your game. So long as you didn't give me a loss, I don't care. That was weird. All right, three hours later, I'm confident we can play Jason Verrett, Big Trus and the Quadfather. What's he got? King, oh, he's got King Henry. He's got Hawkinson too. First play, King Henry goes down after three. I don't know why his King Henry didn't start with his ability. All right, King Henry's X-Factor is up. He's gonna run the ball to him again. Oh, we gotta get there.  That is a hell of a speed boost on that air truck. I'm gonna bring Micah Parsons over in case he does. He doesn't.  Somebody tackle him. I should have the backers to stop this. Oh, I dove a little early. Damn it. My tackling is atrocious right now. I gotta go low on him too. I gotta remember that. Let's bring Thomas Davis down. That was an RPO. Dude, what is with the angles, gentlemen? Dude, I just got pancake. Everybody just got pancake. What's going on? I'm sending Palomalu down here. Nice stop. Seven rushes, 49 yards, he's killing me. He could always run the ball too. If he runs or if he passes the ball, I'm in a lot of trouble too. Just gonna go right up the middle. That's clogged. Good stop. Hey, he might've gotten all the way down here. Just to get stuff. This is a lengthy drive too. Oh, it's read option. What are you with these angles? I don't know how to describe it. Everybody's taking these big looping angles rather than just going running at the guy. Well, he ran the ball a lot. What says we can't run the ball a lot? Let's run this to the right side. Cut it up the middle, run right past him. Quad father's moving. That could have been a lot more than four. Yeah, he shifted his linebacker there too. Quittin' Nelson, you couldn't get to that? Okay, dude, are you kidding me? I'm just gonna go quad father. He's gotta make a play, which he does. Gonna be a half-back battle, no question. Can Herman Moore beat his man? Answer is a big resounding no. But guess who can't fumble? But guess who can't fumble? Victorious, 46 yards for the maniac. I like this. Cut this up the middle. Might've been the wrong decision. Hawkinson too low. What? I'm the Super Bowl, bro. No, what are you doing? Why did he dead stop? It was a perfect accuracy throw. I clicked on and aggro'd like I always do. Unbelievably unlucky. Three to seven, that's such a bummer. So inside zone, tackle low. Pitches it back, what are you doing?  Dude, if his quarterback had caught it, who knows what he could've done? That could've been a flea flicker. But his QB didn't want anything to do with it. It's a little ball-to-lie moment. I like that. We need one of those great blocking. Quad father. See what we can do right up the middle. Right at the teeth. Second to seven. Oh! I think this is a free touchdown right here. Just a left side run. Damn. When he expects me to be ballsy enough to run the same thing twice, no, but he blew it up. We're on the four in the Super Bowl. I could make this six to set. No, I want this. I'm gonna send Hawkinson out on that route again. Oh, he's there. Got him! Stay in the pocket. Take this to 10 to seven. 31 seconds, he has three timeouts. He very well can score here. This has got to be quite the play here. Oh, whoa. I'm just gonna run baseman here. Parham.  Dude, what is up with me today? I'm just with it. All right, let's see if we can get a stop first and goal. We almost got it last time. I'm gonna run commit. I think he is just handing us off.  What is this shit? Oh, I'm so tilted. Why is everyone keying out there? Oh, I gotta like do that thing where I keep my end on the QB. It's like an adjustment I have to make, I think. Falling apart on defense right now, but we have been able to score relatively consistently. 10 to 14, start with the ball, make it 17 to 14, and then I just can't get cheesed by that. Little option play anymore. One of Herman Moore can take his man. Herman Moore, torched him! Absolutely torched him! Look at that downfield blocking. Just a beauty. He was kind of like jumping that little route from the quad. Dude, how does that? Go watch the linebacker who's manned up on quad father. He literally is running the route before quad father is.  Herman Moore, nice. Route, he's got the angle. Spin back in, yup. Hey, beauty. I'm gonna block Hawkinson. I'm gonna shift my line right. Hopefully I can scramble here. Oh, got him. Got him!  The stiff arm broke one. I could get a rushing touchdown right now. Let's go quick base Earl Campbell. It's not King Henry. I still trust the ooey run commits. We still get it! Pipe left! Dude, Campbell's pissed that he got benched for the quad father, not King Henry. I keep mixing them up, I'm sorry. But an excellent response touchdown will make this 17 to 14. I gotta figure out defense though, dude. Just a hand off, Params there. That might be the first time we TFL'd that Derek Henry. Ooh, a read option? Does he pitch it?  I can't get off Wilkins. Please let me switch.  I'm on the William Perry, the refrigerator. And he gets to throw a laser down the middle. It's not that I didn't have the time. It's that it glitches out and won't let you switch. Should probably be sending Aaron Donald. I'm not, but hey, that's a fourth and one. Does he take the field goal? I highly, highly doubt it.  I don't know. Six for six, 154. This guy's out playing me. Let's just put it out, it is. Could be QB rap again, so we put Wilkins in the spy. Bring Thomas Davis down. Let's do it again, baby. Hey, good stop. Let's see if he passes this one. He does. Oh, nice pull, dude. He literally is, I think, seven for seven now.  It gets easy to pass. Got a double team over here. We can just do Big Truss. Oh, why is Big Truss not activated? How did Lamar lose his ability? Lamar gets it back with the offensive down split. Okay, so it's about to have it back. Let's just go to Earl Campbell at the backfield. Beautiful throw, beautiful hit. Two minute warning. I'm milking that clock, man. Big Truss is back up. Quadfather is back up. Let me shift my line to the right. See how this looks. Oh, that's a bad ball.  Switched on and swatted. That's a beauty. I'm in a box a little bit. I'm gonna see if Justin Jefferson can beat his man. Okay, he does. Great route on the whip. That's gonna be a first and more. Downfield blocking clinic. Let's go, Kittle. I'm gonna let this clock go. I'm gonna let Big Truss just roll out right. Let that go down to two. There's a very weird double team, but you know who's wide open, Herman. I don't want any more than that. I don't want any more than that, Herman. He knows exactly what I'm doing. Earl Campbell's back in. I do not like when Earl comes in prematurely, that is. I've thrown it a few times. Oh, he's gonna jump it. Big Truss. Big Truss, baby. Big Truss! I almost wanted him in the end zone. First and goal. I can chew a little more clock this way though. Oh, he wants me to score right now. Come on, say my first rodeo, buddy. I want you to burn those time out. Yeah, go for the stop. Oh no. Oh, he dropped it. Dude, he fully, fully baited me and he dropped it. I'm just gonna go to the edge with the quad father. Third and goal!  Fourth and goal from the sixth. I'm gonna go five wide. I gotta score right here right now. Is this man? Three, two, roll. I'm the play clock god.  He scored in 17 seconds with no time outs. Just walked me down and we still came out with a doll. The one 48.7 to a 158.3. 12 for 16, two touchdowns. No INTC through seven for seven 160. Rushing, he was 14 for 52. Quad father really couldn't get it going, but he had a good defense, dude. His defense is so much better than mine. It was Lamar Jackson that clutched up. Three rushes, 85 yards. Earl Campbell did have a touchdown. Receiving Herman Moore with the clutch display of the game. Also five for 72. Hawkinson three for 58.  Did not get three rushing touchdowns, but we did win a Super Bowl with three seconds. This, you think the NFL is scripted? Wheel of Mutt is scripted? Look at that season, man. I've never had a season with so many close games. All right, boys, we'll give a huge shout out to this incredible 94 overall team. We'll have one brand new prestige player at the start of next season, along with all the prestigious you already know. Christian Acoye, Justin Jefferson, TJ Hawkinson, Jason Kelsey, Troy Palamalu, Micah Parsons, and Soss Gardner. All right, boys, I love you. Thanks for watching as always. I'll see you in the next one. Peace.


Hi, everyone. I hope you can hear me well. I'm Doniziano, sales engineer at Mesosphere. I had an issue with my laptop just now. I had to reboot my Mac. It normally happens only with Windows, but I don't know why. It happens for me with my Mac, so hopefully that will be fine after. So I'll present you Mesosphere DCOS and I'll go through some slides and then I have a demo. Again, I have two phones, so that if one phone doesn't work, then I still have the second phone, so hopefully everything will be okay. So let's, yeah, everyone is there. Let's perhaps wait one or two minutes. So normally when I do my demo, everyone complains about the fact that my characters are too small in my terminal. So I think that time, that should be fine, right? You should be able to see it correctly. If it doesn't work, I still have a problem about the characters I'm using. So let's start. So, you know, machine learning, why it matters? I mean, there is nothing new here. You know that in all the industries, people are using machine learning either to improve processes or to increase revenue, generate new revenue, and so on. So here, nothing new or not go through examples. I'm sure you have seen like dozens and dozens of examples since you joined this morning. What I want to highlight here is that there are several kinds of people involved now in ML projects. You have like the system admins, DevOps, that are preparing the environment, that are taking care of the infrastructure. You have this emerging of data ops people who are kind of taking some of the lessons learned from the DevOps side and apply that to data science. And you have the data scientists at the end who will create models and things like that. And obviously, in the ideal world, we would like people to, like these data scientists, to just focus on creating their model and that's it. But in reality, in data science projects, the time you spend creating your model is quite small. And as I said just before, people tend to reuse the concept that they've learned with DevOps. When they have data science project, which means that when you have a DevOps project, you develop your application and you have like a CICD pipeline so that your new code is directly generating a container and your container is then started in a Kubernetes environment, for example, and then you run your test and so on. So you want to do the same with machine learning. You write your code this time, not to create an application, but to create a model. And when the model is ready, you want to have a CICD pipeline so that you create perhaps a Docker image where you have your model and you run some tests and so on. So to do that, you need many different components. Obviously, you need the different tools that people use in general for machine learning. It can be data stores like HDFS, it can be Spark, TensorFlow, notebooks, like Jupyter notebooks. But if you follow this principle, you also need to have software like GitLab, Jenkins, so that you have your CICD pipeline in place. You also need to have Kubernetes running perhaps so that you can deploy your containers there and so on. So that's what we see generally in data science projects. But I'm working also on a lot of projects where people want to modernize their applications or create new clandestive applications. And these two words are really, really merging. And you see the same kind of requirements. Obviously, when I have this kind of clandestive application use case, I'm focusing first perhaps on having my CICD pipeline, having my Kubernetes up and running and so on. But then I also need data. I need to store my data. I need things like no SQL databases. And then when I have my application production, I start to think that perhaps I could extract some value from this data. And I start to have the kind of project that you have in a data science project where you want to extract some value from the data using Spark or TensorFlow and so on. So if you just deploy all these different technologies in silos, like we have done generally since a long time, then what happens is that you have some physical servers or virtual machines that are dedicated for Kubernetes. Some others are dedicated for Spark. Some others are dedicated for GitLab, Jenkins and so on. So you get a lot of different silos and they are generally all underutilized. And the second issue, which is probably the most important one, is that you have to learn about all these technologies. You have to learn about how you can how to deploy and maintain Kubernetes, how to scale it, how to secure it. You have to learn about how to upgrade it without disrupting your applications running on it. And then you have to do exactly the same for Kafka, the same for Cassandra and so on. So it's really painful and it also means that it takes more time for you to develop your application or to create your models because you spend upfront a lot of time preparing everything. So that's why the public cloud is really popular because people just say, yeah, I have no value in becoming an expert in managing Kafka, Kubernetes and so on. So let's just consume these services in the public cloud. But there are two main problems there. The first one is you'll be locked. So if I start to consume all the services provided in Google Cloud, then I cannot really go easily to AWS. And perhaps I have a regulation that is telling me, oh, you should not be in the cloud for that workload. You should go on-premise. And there is no way you can easily go from the cloud to on-premise. And even if you are able to manage these kind of things, then you have a second problem, which is the price of these services. It's really expensive when you start to use all these very specific services. And the way the building is done is not clear at all. I mean, if you have a project and you know I want to use a Kinesis from AWS for exchanging messages, then you will have to pay based on the number of messages you have and things like that. How can you know in advance how many messages you have? You don't know. So you don't even know how much it will cost. You only know it will cost a lot of money. So the idea of Mesosphere is that we only depends on machines. It can be a physical machine in your data center. It can be a virtual machine on OpenStack, on VMware. It can be a virtual machine in the cloud on AWS, Google. But we even have customers when they want to go to China, for example, they just use Alibaba Cloud. There is no problem. You just need a VM, just need a VM or a physical server. So that means that you have no lock-in and you get exactly the same experience wherever you are. Then we have this Apache Mesos layer that we use to aggregate all the resources of all of these machines. And when we say resources, we speak about RAM, about CPU, about GPU, about disk and so on, and as soon as we have aggregated all these resources, we can then launch our services. And because we have this Mesos layer, we are able to have many different kind of workloads running on the same machines. So instead of having machines dedicated for Kubernetes, Kafka, Jenkins and so on, I can have all these machines used to run mixed workloads. So if I log in in one of the machines and I see there is a little bit of Kafka, a little bit of Kubernetes, a little bit of Spark, that means that I have a higher utilization. So I reduce the cost of my infrastructure. Then we have this catalog of services where we have certified and community packages. And the certified packages, we provide a full support of the life cycle of these different services. So if you try to deploy Kafka and it doesn't work, you can call us. If you try to upgrade Kafka, you can call us and the same for all the other packages that are certified. And we really take care of the full life cycle of these services with all the security options that you need. So you can very easily say, I want to deploy HDFS, Spark and Kafka and I want Kerberos integration and SSL. Seems like that would take like weeks if you have to do everything by yourself. But with DCOS, it can really just be done in a matter of a few dozens of minutes or things like that. So what it means for you, you get a lower management cost because everything is automated. The life cycle of this application is automated. And you get a faster time to market because you can now focus in developing your applications or developing your models. And basically you get the same time to market you get with public cloud offering, but without the looking and at a cost that you can manage. These are the services that are currently certified, so supported by us. So you see we have things you need in DevOps like Kubernetes, Jenkins and so on. We have no SQL databases like Cassandra, Mongo and Coachbase. I mean with the three, you have like 95% of the market probably. Big data software like HDFS, Spark, TensorFlow and so on. And before the end of the year, we are adding all these other ones. So we are adding like a JupyterLab service and I go through that in a minute. We are adding relational databases support because we see that even in the the very innovative project, you still need relational databases, perhaps to manage your users or to do some configuration management, whatever. It's very common that you still have these relational databases and a lot of our customers have requested us to add this kind of support. So in 1.12, we have added, so 1.2 is the current version of DCOS. We have added this nice JupyterLab as a service. So I don't know who is familiar or not with what is JupyterLab and what is a notebook, so I'll go through that very quickly.  And then you discover that it's not exactly what you want because generally it's an iterative process. You have to modify your code many times until you get the right model. So every time you have to go through the same process. But with a notebook, what you get is that you get a web UI where you write your code in the language you want and then you click on Play. You have a Play button and it does everything behind the scene. So it compiles your code and it sends that job to a Spark cluster, for example, and you're done. And you can modify your code and click on Play again and it does that again. And it keeps the Spark cluster running. So every time you click on Play, you have the new response very quickly. You don't have to wait for dozens of minutes on things like that. So what we've done is that we took this JupyterLab notebook, which is the most popular notebook, actually. And the only issue that people had with JupyterLab is that it was only for Python. So only for developers who want to use Python. But we have one of our customers called Two Sigma. It's a FinTech company. I don't know if you know them. They have created something we call kernels in JupyterLab so that it can support many other languages. So you can now use JupyterLab for Java, for Scala, for R, whatever you want. So we have added all these kernels in our JupyterLab service and we have added all the Spark and TensorFlow dependencies so that now the data scientist can just focus on using his notebook and creating his model. Another thing we have added in 112 is this ability to deploy as many Kubernetes clusters as you want, which is also unique in the same machines. So now you can have like one Kubernetes cluster for one team, another one for another team, different versions and so on. And we also have this hybrid cloud capability, which means that you can deploy your DCOS cluster in your data center and then you can deploy Agents in the cloud. And it's a new region for DCOS. Later you can decide where you want to launch your workload. So perhaps I want to use my data center and at some point I need GPU. I don't have GPU available in my data center. I can just say I want to launch JupyterLab notebook in the remote region in AWS where I have GPU and you can accelerate the creation of your models. So I'll go through a demo and basically the demo, the purpose of this demo is to demonstrate several things. One thing is that we have many different services available that will help you in your data science projects that also that we can deploy these services with security. So you'll see in the demo, I have secured everything with SSL for all the communication between all these different pieces and I am using Kerberos to secure also the access of the data. And what I'll do is that I'll... And some of the jobs I have already run them because some of the jobs can take like 20 minutes or things like that. So I'll show you the results because always we will be there for an hour or so, which I think was not the goal. So we use Flickr, we'll get some pictures of cats and dogs using the Flickr API and we'll store them in HDFS. And then we will go on the JupyterLab notebook and we will launch a job. In fact, I already launched it, but I'll show you. Launch a job that is like retraining a model to classify pictures. And as soon as my model is finished, then what I do is that I store that model in a GitLab repository and I have set up a CIED-CD pipeline so that automatically it will create a Docker container with my model and it will push that container in a Kubernetes cluster. So you have kind of the full pipeline, the full story I have described at the beginning and everything running in only one platform without having to maintain all the different dependencies. Oops, three before after. So let me check if I have a good network and everything works well. I have to escape that first. Yeah, that's good. Last time, that's when I escaped it that everything was broken. So as I said, the first thing I did here is that I used Apache in I-Fi to get pictures of dogs and cats from the Flickr API. So I'll not go through all the details, but I'll just show you I have two times the same job and if I go there in that component here, you can see that I have indicated on that one that I want to look for cats. Oh, you don't see it. That's not good. So let me just move it there that way. At least I've seen that you were not seeing it before I finished it. That would be really good for me to do that that way. So sorry, let me just do something different because otherwise I'll never be able to do it. Let me just change the way I clone my desktop. That will be easier. So let me go back and show you again. So I have my I-Fi here where I have two jobs, one to get pictures of cats and one to get pictures of dogs. So if I go on the first one, I can see here that I have indicated that I wanted pictures of cats in that case. Then I just go here through the Flickr API and get all the list of the pictures. I have a loop to go through the different pages. Then I get my pictures one by one. And when I get the pictures, I then just store them on HDFS. And as I just explained before, I have like a Kerberos integration so you can see here that I have indicated the information like my key tab and so on so that all the communication are completely secured. So as soon as I got these pictures, if I go to JupyterLab, which is the notebook like I described before, where you have all these different languages available, in that case, I'll just go and open a new terminal because what's nice is that each data scientist has its own environment with the shell available and so on. So I can just take a look here and see that I should have pictures of cats and dogs there. Yes, so if I do minus R, then I see all my pictures of cats and dogs. So I have 2,000 pictures, 1,000 for cats, 1,000 for dogs and this is nice because the way you can retrain the model with TensorFlow, you don't have to start from zero. It already knows a lot about how it has classified millions of pictures in Google before. So with only 1,000 pictures, you can get very good results. So then I started a job here that was just like this retrain job that is just looking at this HDFS directory where you have pictures of cats and dogs and it has just written the model in the slash output slash tmp directory like it's described there. So what I want to do now is just like to add this model in my GitLab repository. So I have here a GitLab repository where I have already did my first commit with just all the files I need to create my web application that will consume this model. But you see here I don't have the model, okay? I need to have my model added there and to do that I'm just going to go in my JupyterLab here and just do a cp of slash tmp slash output everything in that directory and I can do a git commit minus im with the model and I can do a git push. So in a few seconds I'll see here that I have a new commit and I have my model it will come in a minute and then what I did is that I configured Jenkins so that it will take a look at this GitLab repository and whenever there is a change there it will discover that change and it will start to run the pipeline and basically what it means is that at the end it means that it will execute that file that's generally we call Jenkins file and when it will execute that file it will get a docker image which is like my base image and it will then get the data from the GitLab repository with the model and so on and it will create a new docker image based on that it will push that image to the docker hub and finally it will run some kubectl command to deploy that container in Kubernetes so I have my new model I put it in my GitLab repository Jenkins discovered that by itself build my new docker image with this model and start containers of that new image in Kubernetes and if everything goes well then I can just go and show you this web application and we can validate if the model is working well or not okay? So let me first take a look at Jenkins here and perhaps refresh it and see if it's as yet like we see it has detected that there is a new commit and if I go there I can even see the output of what is happening and that will probably take like two or three minutes and I will use that time to show you a little bit more about how everything has been deployed on the DCOS site so I have this dashboard from DCOS where you see that I have like some CPU some memory, some GPU and so on and as I said before we have this catalog of services available where we have many certified services like Kafka, Cassandra and so on and I have deployed many different services like you see here so you see we spoke about NIFI for example so if I go there I can see that I have NIFI with two nodes if I would like to download faster my different pictures from Flickr I could just add more nodes here so I just have to edit here and change the number of nodes I want and click on run and I would get more nodes in like two minutes if I want to automate this process I can easily get the JSON corresponding to what I want to deploy or upgrades and very quickly just automate this operation perhaps even store that configuration in a GitLab repository to have some good best practices like using infrastructure as code and I have a lot of other components like as I said, HDFS configured with high availability with two name nodes with several data nodes with Kerberos enabled and so on we have like a Kubernetes cluster here where we have like several Kubernetes nodes and so on so everything has been deployed and I have a GitLab repository where everything is available if you're interested basically in 45 minutes it starts from zero and you have everything deployed and what you can see here as well if I go now in the Jenkins side is that there is a task that has just been started like three minutes ago so when Jenkins discovered it had to do execute the pipeline then it has requested some resources in Mesos to be able to start a container to execute that job and then when the job is executed then it can just get rid of that container on Mesos so you don't even have to dedicate resources all the time for Jenkins it will just get the resources it needs from Mesos so if I go there we should be close to the end and we have a failure which is good no it's not good obviously so I just have to do check here if my push worked or not it is oh you know what I did I missed to add my files so obviously it was not in the commit so that's why we didn't see it but it will be very quick to do it again because I already have this worker on Mesos so if I do a good push here that's why when I refreshed I didn't see the model this time I should be able to see it yeah and it's longer which makes sense because I have my model in it so what I will do there just to get some time I'll just execute it myself so I will not wait for him to discover it or it's even already discovered it so that's great so this will be fast because the executor that we have used just here is still there that's not been deleted yet so this machine already gets like the docker pool will be very fast and so on so it will just take one minute or so to deploy the... to finish the full pipeline so while it is progressing on that side I'll just go back on the UI and show you a few other things that are quite interesting as you see here I have one GPU used by my GPTel app notebook so when I retrend my model I've been able to use the GPU that was allocated on that node and in Mesos you have this ability to create quotas so you see for JupyterLab I have a quota of 7 CPUs and 48 GB of RAM it can use when it launches new jobs okay so that's very nice because you can give like a notebook to a data scientist and make sure that this person will not consume all the resources of your cluster so I'll do that at the very end when the rest will be finished I'll just start a quick distributed Spark job so you can see that in action and you can see the usage of the GPU but it's really unique because when you look at Docker in general you can use GPU but you cannot limit how much you consume of this GPU in Mesos you can do that so that's really powerful so let me go back here again oh I have a success which is better so now if I go on my Kubernetes cluster and I refresh here I should be able to see that it is starting some instances obviously it asked me for a token and I don't know if my file is expired or not so let's try to to see if it gets it should be fine yes so you see it's kind of doing a docker pool of the image I have just created and starting that deployment and I'm not going to all the details about Kubernetes because that's not the purpose of that session but then you need something like traffic to expose your application to the outside world and automatically you see that I have this rule that has been created to be able to go to my two containers that are running in Kubernetes so if I go there and if everything works well I have access to my web UI very beautiful web UI as you can see and I'll be able now to try and see if my model works well so if I try to download to give it a picture and ask it to discover the picture then we should be able to see if our model is working well or not yeah there are some caching so if I do that that should be fine I assume yes so that's a cat the model works quite well so don't ask me why but if I do the same with dogs it's never as efficient it looks like TensorFlow prefer cats than dogs I'll show you that perhaps today it will be different but it's not so bad but it's not as good as the cat poor dog that's perhaps why and you can even try sometimes to confuse it to see what it thinks about this picture so the model doesn't work very well on that one I don't know why oh that's probably why so sometimes you recognize as a cat sometimes as a dog depends on when I do it so very quick demo I will add as I said before when we executed this this job to retrain the model it was not a distributed job so I will just run another one that is using distributed Spark and what we do here in fact is that we use like a very nice project that has been open source by Yahoo that is using Spark to distribute a TensorFlow job so you just have to slightly modify your TensorFlow job and you get like it distributed on Spark which is a lot easier than creating your own cluster for each TensorFlow job which is what you generally need to do so we don't really care about the results so much I just wanted to show you here that on Mesos I see that I have my two containers that are starting now and these two containers are using GPUs and I see there if I go and look at my usage I see that I am using two CPUs, two GPUs and 13 GB of RAM okay so I have no quota for GPU I could have added also a quota for it if I wanted but just to show you the advantage of using DCOS for GPU and the way you can manage quotas so if I go back there just like a last slide just to summarize what I have just demonstrated if it wants to show it yes so you know like I said oh that's great I don't see it in my screen yeah that's good so DCOS provides all the software you need for this kind of data science projects it can deploy each of them in few minutes I didn't demonstrate that here because obviously the talk would be too long but I have some demos available I have that as a video on YouTube as well if you want to take a look later you can secure everything with Kabyros and TLS which is something that is very complex to do generally you can do that anywhere like what I demonstrated here in AWS I could have done that on Premiere I could have done that in Google or wherever you can have a nice notebook experience which is really what the data scientists are asking for currently you can leverage GPU you can use Mesos Quota to make sure that people don't really use all the resources of the cluster and you can even use the same platform to deploy Kubernetes and serve your models so that's all I add I think we still have some time for questions so I don't know if I don't know what's the who has the microphone I think we have a microphone now so if we can just get a microphone so do we have any question? I'm sure we have right I can't see you guys, I have a light in my face since the being of this talk Can you hear me? Yeah, very well So the technical question related to Jenkins so where's the decision made about spinning up a new machine? Is it on Jenkins side or it's on Mesos side? It's on Jenkins side so basically you have something that is called on Jenkins I can show you very quickly So it's a plugin? You have like a cloud so I'll show you here when you go to the configuration of Jenkins basically the Jenkins package that we deploy on DCS already contain what it needs to be able to talk with Mesos so when you go to configure in Jenkins you have this cloud section and basically this is just another cloud so it's another cloud that knows how to talk with Mesos and so on and one thing I didn't show you in fact I just realized that now because I've done everything with the terminal but obviously people tend to use this approach where you write your code you click on play it executes your job and so on Any other questions? Sure Good, that's great So just the last thing we have a raffle if you come to our booth and just register there tomorrow you can win like different prices we have a nice drone so feel free to come by our booth say hi and if you are lucky even go back tomorrow with a nice price Thanks everyone


Today, I have the pleasure of speaking with Peter Cashin of Imperial Mining. How are you today? Good morning, Tracy. Great. You've just put out some news. Yeah. We were starting to do the metallurgy for the scanning mineralization we have on the property. It was very positive. That's a process where we want to reduce the mine volumes by using magnetic concentration. It's looking like we'll be able to reduce the amount of material we mine in half, and that's important for reducing the footprint of the operation, reducing the transportation infrastructure risk related to the project. And also, there is a byproduct that we can actually sell out to the cement market, and it's an iron powder product that they use as a strengthener. So again, always a reduction of the environmental footprint on the operation. Of course, many of you at Investor Intel know who Peter Cashin is, but do you know who Imperial Mining is? Can you give us a bit of an overview of Imperial Mining? Sure, Tracy. Of course, when I left Quest, I brought the Crater Lake, which was the Missouri Lake scanning property with me, and I was looking for a home for it. Initially, I was thinking about going public with that entity. It didn't work out. But we recently did an RTO with a Quebec-based explorer, NTU exploration, and they had some base metals and gold properties. And I thought that that's where investor attention was. So we rolled those together to form Imperial. We went public on the TSX Venture just in January. So for those of you out there watching, leaders in our industry, Imperial Mining is one that we're all watching, Peter, and I think we should use this opportunity to maybe talk about what's happening with the Scandia market. That's interesting, Tracy, and I like it because I think it has some really important upside in the automotive space. It's an important component in the additive manufacturing, which is a 3D metal printing industry. That has applications both in the airspace, the defense industries, automotive, as well as fuel cells. So I think that there's some great wealth opportunities and growth opportunities. The issue has always been a constrained supply chain for that particular commodity. And most of the Western suppliers are looking for a nice, stable, long-term supplier in a stable jurisdiction. I don't think you'd get a better place than Canada right now. Okay. So you're basically saying that you have a competitive location for Scandia in production. Correct. We're in Quebec. And as everybody knows, Quebec is a very supportive of mining. There's all sorts of incentives and mitigation issues, measures to help projects go forward, economic development, job training for new employees, road infrastructure, et cetera. Of course, everyone right now is talking about battery metals. Can you tell us a little bit more about, you know, I haven't heard 3D printing brought up in a while, and, okay, that's an incredibly blossoming, burgeoning industry. Tell us why we should, why we need Scandium in 3D printing. Well, Scandium is an unusual element is that it really melds itself well with a whole bunch of different metals. And actually, it's used as a strengthener and a grain refiner. It's particularly affected with aluminum. It renders aluminum alloys to be as strong as steel, but a third of the weight. So it has applications in light weighting, so in the superstructure and the sheeting that makes up an automobile. And I think that's just as important as improving the battery technologies to extend the concern about range anxiety. Light weighting the frame is important for electric cars, but it's also important for internal combustion vehicles, and given that the expectations on fuel efficiency, not so much in the United States, but certainly in Europe, and reduction of the carbon footprint of those automobiles, light weighting will allow your vehicle to be much more fuel efficient as a result. So, Peter, just a little bit more about Scandium, if you don't mind. We hear, you know, what are the real numbers? How much are we importing? What's the number one source of Scandium worldwide? Right now we're importing directly from China. It's the sole source. And just like we saw in the rarest space, they control that market. The Russians are the other supply opportunity, but they maintain all of their production for internal purposes, mostly for military and defense platforms. So obviously the Western markets are looking for an alternative supply chain. And I think that there are some Western projects, including Crater Lake, that would be able to provide that. And we see, from our marketing, we see bare minimum 500 tons of unsatisfied demand of Scandium. So that's like multiples of what currently is available for Western consumers. So, Peter, you've made a lot of shareholders very happy over the years, and I suspect you're going to do it again. What should we as shareholders anticipate, say, over the next quarter or two? Right now, Tracy, I really think that the best way to develop these strategic metal opportunities is finding strategic partnerships. In other words, those consumers that have a vested interest in having a stable, long-time return supply of Scandium. And right now, I was in the UK in April, and we continue our conversations both in Quebec and the United States with some exactly that kind of a partnership. And what we're looking for is development support with the impression, trying to apply a philosophy. It's really R&D for a product source that will be important for them to create a multi-billion dollar product line, which is Scandium, aluminum, alloys, powders, and the rest. Well, Peter, as always, thank you for joining us. My pleasure. Tracy, thanks.


I think with the guy in scoring position, I was able to throw him out, and that's a tough play.   You know, even Joe, you got a ball over his head, off the wall, and I think that might be his first game he played in right field here at Yankee Stadium since probably 2019, I feel like. So he's, it's all around, it's a good game. With a good team like that, you got to be sharp on defense. You can't get many extra outs. How well does Trevino fit in and acclimate it to this team? Oh, he's, he's one of a kind, man. He's a hard worker, um, you know, especially all those guys who've gotten from Texas, man.  Um, like, even today, I came in and I already saw Trevi sitting at a lunch table. He had his iPad out. He had a game plan. He has no book. He's just, that's what you want out of your catchers. You know, him and Higgie, you're both two guys to prepare, you know, more than anyone I've ever seen.  You've talked since you came up in 16 about your time in center field and your Fresno State enjoying playing out there. What is it about playing in center that you really like? Um, kind of the space and, you know, kind of the control. I feel like I can, you know, be a little more vocal. I can talk to the guys. I can move guys around a little bit more because I got, you know, I'm right there in the middle, so I can see different things, you know, what guys' swings, where the pitches are. Because then right and left, you're kind of just reacting. You can't really see it. Hey, was that ball in? Was that a way? You know, why did he take a swing like that? So just being able to communicate a little bit more, I'm just going to talk with Joey and Miggy for, you know, Higgie if he's out there too. I just enjoy it. It's a fun part of the game out there. Is there extra thrill doing that to O'Tawney and also that they have a great center field or two? If he dies for one and misses one. Will you pull back a homer and it's O'Tawney? Is there more to it than thrill? Not really. I was just trying to make a play. You know, it doesn't matter who it is. I was just, you know, especially when we got Monty on the mound who we really haven't scored many runs for. I was just trying to, you know, keep it an even ball game so we could go in there and work a little bit. But it doesn't matter who it is. After the ball hits the glove, do you feel the glove hitting the wall? It happened so quick. You know, I really didn't feel much. I just knew I got it and want to make sure I didn't drop it.  So, you know, luckily staying on my glove and, you know, two outs in any and Monty kept rolling. What's Carpenter meant to you guys the last few days? Well, he's a good presence in this clubhouse. You know, he's a veteran guy that, you know, always has quality at bats. He has some big homers for us. He had another big tour on homers tonight. Another guy that, you know, I'm talking to him, you know, after he was at bats, like, hey, would you see off that left here? What do you see him from Cindergarde? What have you seen in the past? You know, anytime you got a veteran guy, it's been around the league, seen a lot of different guys. He's just going to help your ball club, you know, so he's a great addition so far.