Live from Las Vegas, it's theCUBE. Covering VMworld 2017, brought to you by VMware and it's ecosystem partner. Hey, we're here live, the CUBE coverage at VMworld 2017. Behind us is the floor in the VM village. I'm John Furrier with Dave Vellante, our next two guests, Beth Phelan, who's the President and General Manager of Data Protection Division at Dell EMC, and Yang Bing Lee, who's the Senior Vice President, General Manager of Storage and Availability at VMware, Visan, all the greatness. Welcome back to theCUBE, great to see you guys. Yeah, great to be here. Get the heavy hitters here, data protection, AWS, a lot of great relationships, synergies happening. Yeah. Give us the update. Yeah, well, go ahead, Jeff, Beth. We've been working together for a long time, but recently we've really amped it up to the next level. Great discussions around enabling data protection for Visan, and then as announced this week, you know, with Dell EMC be the first vendor to have data protection for VMware cloud on AWS. So it's a really exciting time to be here, and I've been in business for a long time. This is the best VM world that I've seen so far, and so it's just really great to be here with Yang Bing. It's been very cohesive. I want to just stay on that for a second. This is a big milestone for VMware. It is. To have this shipping of the general availability of AWS, especially with on the heels of the vCloud Air and all that controversy. Andy Jassy's on stage from Amazon Web Services, really kind of looking right at the audience and saying, we got your back. This is a real deal. And the bridge to the future is there. I'm paraphrasing, I didn't say those exact words. How do you get that data protection? Because that data protection in the cloud is hard. Yeah, well the nice thing is that since we've got all of our data protection running in a cloud environment now, we could then use that to build the connections with VMC. So we have data domain virtual edition running. We have data protection suite running in the cloud. So people can use the same technology they used on-prem, but now in AWS in conjunction with VMC. So you kind of have hyper-converged infrastructure means meets cloud data protection. Yanbing, what is the difference? I mean, what's the requirement of hyper-converged infrastructure data protection? How does it differ from traditional storage and how is it evolving? Great question. Bas and I, we've known each other for quite a few years. I have to say our relationship hasn't been this close and it's getting closer and closer. So coming back to your question, in terms of hyper-converged infrastructure, we're seeing two fundamental shifts around data protection. One is the blurring of the boundary between backup and DR, and these two really coming together as unified data protection. I think there has been a lot of discussion around this for a long time. But this has become even more compelling now we talk about hyper-converged infrastructure where our customers, they so enjoy the benefit of having compute and storage combined together in a common management experience. And they're looking for the same for data protection. So we're really seeing customers want to see data protection as a feature of hyper-converged, as a capability that's part of that rather than yet another silo, they have to manage separately. They want policy that manage storage, compute, and backup and DR all together. So that's why, you know, that's really drive our partnership so much closer. You know, it's interesting. Many of the clients that we've worked with over the years, they'll have a backup strategy, but they don't really have a DR strategy and they sleep with one eye open at night. And they're afraid to go to the board because it's so expensive, it's expensive insurance. And so you're seeing that there, it sounds like they're blending those two together, kind of killing two birds with one stone. Are there trade-offs or things that customers should think about in that regard? How do they sort of go from where they are today, which is sort of a backup bolt-on to that integrated DR and backup? I think a part of the key is the technology that we're leveraging now and we leverage something that has like CDP continuous data protection. You can use that one to have a data path to the secondary storage. And you can use that same code to also initiate disaster recovery with NeoZero, RPO, and RTO. So another thing that we announced this week is with our DPS for apps next edition that we now have Hypervisor Direct backup. And what that means is that we're integrated directly with ESX and we are leveraging tech point for VMs to move data to data domain. That same technology is also leveraged within recover point for VMs. And so you can see the engine, the internal engine of the data movement can be applied both to disaster recovery and to backup with different windows of RTO and RPO. I'm glad you said NeoZero RPO because there's no such thing as zero RPO. But you're seeing more pressure to get as close to zero as possible. What's driving that pressure and how are you meeting it? Well, I think with all of us, we know that in the industry, customers are expecting 24 by seven uptime, right? So they have many, many applications that they need to have the confidence that if it does go down for any reason, they're going to be able to bring it back up within minutes or hours, not days. So it's really the drive for continuous availability and getting as close to that as possible. The other factor there, if I may, one more, John, is the challenge in data protection has always been, it's largely been a one size fits all and it's either I'm either under protected or I'm spending and breaking the bank. So are you able to, through your technology and process improvements, improve the level of granularity for different workloads that require different service levels? Two things come to mind with that. One, we're seeing more and more interest in customers integrating data protection directly with their applications, whether it be SQL or Oracle or the VM itself. So that's one thing. So we can custom the data protection to a particular application. And then the second piece of that is with the different interfaces that VM offers, we're able to do either VADP level integration or more fine grained integration like we're doing with the tech point for VMs. So we are getting to the point that we can make different choices, either application specific or something that is fine tuned based on the level of mission critical capabilities that the application requires. I want to get you guys perspective just a high level holistic view for a second. We're seeing the convergence of the two worlds, the cloud native world that they have no walls, they have no perimeters, they operate in a mindset of there's a security holes everywhere and the protection's hard, they think of it differently. On-prem, the traditional methods, how are those coming together? Because you have customers that run VMWare and do stuff with data protection and they want to now run VMWare in the cloud. What's different? What do customers need to know that are we on either side of that equation? If I'm on the on-prem and I now want to use VMWare in the cloud on AWS, how does data protection fit in that? Is it the same? Is there tweaks? How do they think about it? Do you want to answer that or? Yeah, so in terms of on-prem or VMWare in AWS, you know a big value prop is really the consistency in operating model. I'm sure you have heard about this a million times. Talking about it all week, yes. All week long. And so from data protection, we're trying to do exactly the same. So for example, VMWare cloud on AWS, the very first data protection that we certify on that platform is from a Bessel organization, is our networker being the first set of solution certified. And our customers definitely love the continuity of I already have the experience and licensing associated with my on-prem protection solution and they want to carry that forward into the cloud. So same operating model. So from the customer's perspective, I've been doing it this way with VMWare and Dell data protection. Now it's the same in the cloud. No change in. Yeah, yeah. I mean, I think that's really the beauty of it. Even with DDVE, I mean, you can have applications that you can do through different, you know, you can have replication in the cloud as well as another level of protection of your secondary storage. I think some of the changes probably not necessary. Yeah, so operating model consistency, you know, Dave, we touch upon, you know, hyperconvergence is driving a lot of functionality into a single control plane as opposed to these different silos. And you know, we would like to see that happen in the cloud as well. And along that line, you know, best organization and my organization are really looking at, you know, how we build the best next generation integrated technology that truly leverages the strengths of both organizations. That's simple and easy to use. Yes, and it's got to be easy to use. It's simple, easy to use, policy-based, you know, turnkey solution. So this is, you know, what we're doing, something pretty innovative by truly bringing our engineering together and trying to boost our next generation solution. The synergies that Michael was talking about, when we interviewed Michael yesterday, he's like, look at the synergies are well beyond his expectations. This seems to be flowing nicely in the culture. And when EMC had the federation, it was always kind of like an interesting thing. But now things are flowing differently. It seems to be smoother. You guys have a reaction to that? I totally agree with what you said. I mean, it feels different. And I think as we go forward, we have even more opportunities. But we're not even a year into it. And there is a distinct difference in terms of recognition around the joint opportunity. And like you said, the smoothness of the conversation, I think, is really helpful. It's clear, it's clarity. Also, you know, the rising tide floats all boats and, hey, VMware stock is going like this. It's got a nice slope to it. Yeah. So I definitely want to echo best on that. And, you know, the type of collaboration we're seeing between our two organizations, you know, my BU is actually having multiple touchpoints into Dell and Dell EMC organization, whether it's our VxReal and, you know, the VCAN-based collaboration or the data protection angle. And we're really seeing that happen across different functions. So we are starting from go-to-market collaboration, you know, how we provide the best set of solution to our customers in joint go-to-market efforts. You know, VCAN is gaining a lot of footprint in mission-critical workload. And a critical requirement is data protection. So we're doing a lot of joint solution, joint setting together. And really the next step is that joint engineering effort leveraging the best of both worlds to build next-generation products that's optimized for hyper-converged, that's optimized for the cloud. For software-defined data centers. Yeah. So if I dial back a decade, let's say, as virtualization generally in VMware specifically saw its ascendancy, data protection totally changed for a number of reasons. You had less physical resources, but backup was still a very resource-intensive application. And so things, I mean, that's really where Avamar came to fore, as we can de-dupe at the source and all that other cool stuff. You walk the floor, backup, data protection is exploding again, it's like the hottest area. So two-quest, two-part question, why is that? And then how does Dell EMC with, you know, it's large portfolio, it's big install base, how do you maintain competitiveness with all that new emerging innovation? Let me start with you. Yeah, well, I think the first question, and I want to hear your answer too, but what I would say is, you know, because the industry is changing so dramatically, it's requiring data protection to change just as dramatically, right? And so that is, a lot of people are seeing opportunity there, whereas maybe, you know, I've had people say, you know, well, you don't really have to protect data in the cloud, it's all somehow magically protected. I've had customers say that to me, and I think that we're now beyond that, right? And people are realizing, wow, there's a, you know, just as much of a need or more of a need than there was before. So I think there's plenty of, you know, companies appreciate opportunity, and they see opportunity right now as data protection evolves quickly to address the new IT world that we live in. I'm thinking you would add to the first answer.  You know, I think there's still lots of exciting, interesting storage company, but there has been quite a bit of consolidation. You know, software defines storage. It seems like that market landscape is becoming clear and clear. And we're definitely seeing that spreading into secondary storage is now ripe for disruption. And we're also seeing that disruption around secondary storage is also impacting data protection software. You know, it's not just the secondary storage element, but you know, extend to the entire software stack. I think it's very exciting and also thinking about, you know, what is going to be the economical benefit of cloud and how do we take best advantage of that? And this is why with our AWS relationship, you know, we are rejuvenizing our DR effort. You know, we have successful on-prem product like SRM, but we're seeing tremendous new opportunity to look at that in the context of cloud, and truly leveraging the economy and scale of what cloud has to offer. So lots of driving factors to really realize this. And you have no cloud, it's a cloud show, and you have no cloud. Okay, so Beth, second part of my question is, how do you keep pace? I mean, there's pretty tremendous innovations going on. How do you keep pace? What are your thoughts on all that? Yeah, so the really cool thing is because we're, you know, we're Dell Technologies, we have not only data protection assets, we also have servers, we also have switches. We have everything we need to build our full integrated staff, which we now have with IDPA. So with the integrated data protection appliance, we have the best updated AMAIM, we have the best of our software, we are leveraging also PowerEd servers and Dell EMC switches. So we have everything that we need to build that end-to-end best-in-class integrated appliance. And as customers change how they consume data protection to more like a converged consumption model or a hyper-converged consumption model, we have all the pieces that we need to make that a reality and then to continue to move forward. So when you combine that with our relationship with VMware and the ability that we have to drive innovation jointly, I have no doubt that we're going to be really moving ahead into, you know, modern data protection. Final question before we wrap, R&D comes up, Michael also mentioned, and so did Pat, billions of dollars now in R&D, free cash flows of a billion dollars, three billion for VMware. A lot of observations this week that we kind of look for and kind of read the tea leaves, one of them was, at least for me was, the stack collision between hardware, software stacks. As IoT and servers and devices, you have hardware stacks and software stacks. Untested scenarios, certainly in V-Stay, you're seeing a lot of activity around untested new use cases. And so it's going to put pressure on engineering. So the question is, what's the vision for the R&D for you guys around data protection? Because it's not just data protection anymore, it's a fundamental linchpin in the equation of cloud. So that's on engineering R&D. Yeah. So one thing we're doing actually right now this week is we're restructuring our EMC lab, Dell EMC lab, back in Hopkinson to move to more of an open, shared, pivotal type environment. So, you know, it's clear that as we go forward, doing things like peer programming, test driven development, enabling continuous, always good known state, like there were definitely advancements happening in software development that are accelerating innovation. And so as we take advantage of that, that's how we keep pace with what's going on around us. Because you're right, the number of things to get involved in is endless. I just want to point out before we end the segment, you guys are very inspirational, women in tech. I think you guys are amazing. We talked about the engineering resources. Your thoughts on the industry has a lot of controversy in Silicon Valley and around the world, around STEM and women in tech. Thoughts that you'd like to share to all the men watching and all the folks in the young girls, we meant inspiration.  I'll start, yeah. So I think, you know, first of all, I want to thank theCUBE for having such awareness in this topic and, you know, constantly featuring women in tech on your shows. You guys have been doing a great job raising the visibility of women leaders in the industries, thank you. So certainly this is a topic very dear and near to my heart. You know, this week, you know, we can still see not only our employee base, but our customer base is heavily men dominated. But I think we're seeing unprecedented levels of awareness and attention to this topic in Silicon Valley and across the world. I do think we are starting to see much better transparency in metric. We're seeing increased accountability in business and business leadership. So I think those, and we're seeing a lot of social awareness. I think those are going to drive a positive change. So let me give you a concrete example of, for example, things we do in VMware. We just gone through a bonus allocation and compensation adjustment. I would get a report from a HR comparing the percentage of what we have done for the women population and the women population. And so you get a real time feedback in data. And when we see the data is actually quite shocking. Hopefully we do see, oh, unconsciously, you know, we may be allocating unconscious bias, if you will. Definitely. But because of those real time data and feedback, we are getting able to keep ourselves accountable. So this is no longer just talk. This is real data in real HR practice that we are already building into our day-to-day practice. So I think I'm very optimistic. This will take time, but this is, we're moving in the right direction. It's a historical moment in the world. If you think about it, this is super important time, the inspiration and also the young women out there too. And also for the men, they need to kind of be aware as well because inclusion includes not just women, it's everyone as that seems to be the, in fact the trend we had an interview on theCUBE and Anar Simpson who works for Mozilla and she's doing some work for Tech Nation. She said, they're changing it from diversity and inclusion to inclusion and diversity. They're flipping it around where inclusion leads diversity because they want to lead with the message of inclusion as a primary message with diversity. So it's not just a diversity message, it's inclusion. Love that. The only thing I would add would be the phrase, she can be it if she sees it. I think having people like myself and young being be visible role models, it's very impactful especially for young women to see women in tech leadership positions. It's hard to imagine yourself in a role if you don't see anyone similar to you in a role. So I think the more the people like us and our peers get out there and really put an effort into being visible and you know. Do you see the networks forming more? I mean, is there more action flowing happening? Can you compare and contrast just even a few years ago? Is it on the rise significantly? I think it's on the rise. Yeah, I do get asked to be involved in a lot of opportunities, yeah. And of course your Twitter handle puts it right out there at YB High Heels. Yeah. Right, you're not shy about it. Right, yeah, there's nothing shy about it. I realize, you know, Beth and I, we are both dressed in a very feminine way. I do think- Your capability is off the charge of a great impressive executive. The society is increasingly more inclusive about their notions of a female tech leader. It's not just one size fit all. I think it's encouraging us to show who we really are, the authentic self. And I think that's very important for young girls to see because I remember when I was a young girl, I didn't go into tech expecting I do not get to be who I am. So, so. Yeah, and that shouldn't reflect your capability of any way, any kind. And that seemed to be great awareness of the Google Memo that went around. And it's all over SiliconANGLE, some great videos on SiliconANGLE on that topic. And again, you guys are great inspiration. We love working with you. You guys are great executives. Thank you for bringing the topic up. It's important. You're welcome. We're certainly passionate about it. We'll be at Grace Hopper as well for our fourth year. We do that show every year. We're learning more and more. And we're going to do a podcast for guys too on the SiliconANGLE. A lot of guys want to know what to do. So, inclusion and diversity, of course, it's on I need the help. I'm John Furrier with Dave Vellante here, live at VMworld. More coverage coming after this short break.


So, how much money do you think I make on YouTube? This is not a trick question, pause the video right now and in the comments take a guess. I'll give you some clues, right now I have 190,000 subscribers and under normal circumstances my new videos on average get 1-2,000 views. So here is the answer. As you can see, if you look at the last 7 months, on average I make about 700 dollars a month. Sometimes big streamers might notice you and you'll get a little boost, shout out to Aswan Gold but that's not really something you can plan around. Which means that most of the time you're on your own and it's up to you to be the fire to continue to keep generating content and get the views you need each month to be consistent. On average for a normal 2 minute video it takes me about 5-8 hours to plan, write, record, edit and upload a video. I try to upload at least one a day and typically after about 25 videos I make about 700 dollars. Now just to put that into perspective for you, in my home state minimum wage is 725 an hour. So if I was working at McDonald's full time at 725 an hour times 8 hours a day times 5 days a week I would make about 1100 dollars a month. My point is, assuming you live in a country similar to the US, being a YouTuber even with 190,000 subs financially makes no sense because I would make more money spending that same time working at McDonald's than I currently do making videos and that's after I've been doing this for 7 years. In the beginning when I started this channel in 2016 it took me 3 years to reach my first 1000 subs and monetize my channel and then I finally made 200 dollars. So I worked 3 years to make 200 dollars. Just think about that, if I had spent that same amount of time working at McDonald's I could have made 41,000 dollars and honestly that probably would have been the smart thing to do because I probably could have paid off my college debt. But for me just seeing how happy and thankful you guys were in the comments each video just to have clear and concise information and answers to frustrating questions that frustrated me before being a 3D animator and a game developer. Things that took me days to figure out instead took you seconds and I could see the difference it was making for you guys. And I just felt that in terms of actual positive differences I could make for people in the real world if you just measured the time I saved for everybody else it really just felt like the right thing to do. So I continued to do it and when things got really hard and it didn't really look like I was going to be able to continue the support squad on Patreon came in and single-handedly shouldered most of the cost in order to keep the channel barely get by each month and eventually give me the chance that I have right now. These are the real numbers for my channel and I wanted to show you guys this just so you understand that you are going to be working for free a lot in the beginning. But if you keep doing it and you just try your best every video genuinely try your best to serve your subscribers with quality content every month you are naturally going to get better and the more you do the more you'll grow and eventually you'll get to the point where it can actually make a difference not just for others but for your life as well but you have to be patient and you have to be reasonable with your expectations. I cannot tell you just how many people I've talked to that are like man I made videos all month for five months and I only average 10 views per video and I'm thinking bro it's been five months you literally went from averaging zero views to 10 views that is 10 times the views you had before if you can work your way up to 20 views you will have doubled your average so your stuff is growing fine just keep trying to improve it and deliver more of what you think your audience wants so listen you can't get mad at yourself just because things take time to grow you have to learn to enjoy the ride and when you do get 10 views really cherish those 10 people make them the focus of your channel and just let them know hey right now there's only 10 of you which means you guys get all my attention if you leave a comment I promise I'll read it and if you leave feedback I'll try and implement that in the next video and then you guys can let me know next video whether it's better or worse because those 10 views you get each video that's the test that is how YouTube tests you because from YouTube's perspective if you can't properly take care of 10 viewers then how in the world can you be expected to take care of a hundred or a thousand if all 10 people who watch your video like your video that tells you to 100% of people who watch this channel like it and that will give you to the confidence to show your content to other people who might also like it based on the viewers who already do so if you've only got 5 views per video or 10 views per video really try your best to make those 10 people feel glad they subscribe to you like they found some sort of hidden treasure that nobody knows about yet and that way when you do grow over time they will not only have witnessed the journey but because they invested in you early they will be proud to have been there from day one knowing they get to be the person that said I knew it I knew this guy was going to make it all along it was just a matter of time they will get to say that because you didn't give up so throughout this series I'm going to give you some tips and advice on things that I would do differently if I could start the whole thing over things that can hopefully help you improve way faster and better than I did but I truly believe that the core principle doesn't really change you have to try and give your viewers more of what they want and figuring out what that is and how to do it just takes a lot of trial and error so the sooner you start the better and I highly encourage you to start now and if you're not sure what kind of content or channel you should make if you join me next video that is exactly what we'll talk about so thanks for watching and as always hope you have a fantastic day and I'll see you around


There are 60,000 new songs released a day on Spotify. There's a lot of copyright infringement of songs of music, in particular, in the news been asked, like, what are the reasons for that? And one of the things I think to keep in mind, there are 60,000 new songs released a day on Spotify. Every single day, 60,000 new songs. In 1952, there were 144 songs a year. So clearly the amount of music that's being put out is greater than it's ever been. Ed Sheeran pointed out. Ed Sheeran being in trial over allegations that he's infringing copyright. There's only 12 basic notes in music, almost like the alphabet having 26 letters. There's a limit to how many notes and chord progressions you can have. The amount of content is so great that there's just by necessity going to be a lot more allegations of infringement.


There are fundamental flaws in the way we regulate and implement the regulation of the financial system. In this system, we got more pronounced interconnectedness and more pronounced fragility of the system, where each institution was highly indebted and then they were linked together in numerous lengths. So through various contagion mechanisms, the entire global system came to like a near implosion and everybody panicked in all markets. Banks can somehow and are happy to live on 95% of their funding coming from debt. Here you have it, a system built on debt in the center of which is heavy borrowers and distorted lenders. It ends up in the bottom line looking like a speeding truck where the driver can get out before it explodes and so the driver doesn't bear consequences, but there's a collateral damage from the explosion and other people get harmed who did not benefit from the high speed. So that's the kind of analogy of polluting a river because you're subsidized to do so when you have a clean alternative. That's the kind of system that we have and somehow there's just a lot of narratives around it that are just very confusing to maybe people who don't understand the economics of it. And so the system doesn't get changed and we have very weak and ineffective regulation that are not getting the system to sort of behave normally. When you had an internet bubble burst, you didn't see the whole world collapse from that and there was more paper loss than there was in the housing correction in the U.S. and yet because there was so much debt in this system, it created so much harm. And when it gets to be the way it is, it's very inefficient and it distorts the entire economy. We have to wonder about the dynamics that led to that and whether we've actually removed those kinds of forces from the system.


Hey everyone, I hope your trading is going great I want to take a couple minutes to give you an update on the trade performance of our alerts for the month of August another month in the books another great month for navigation traders This month we had 18 closed trades, which is more closed trades than we've had in our history of recording these alerts 17 of which were winners total profit $5,835 another record as far as the amount as far as dollar amount Booked profits so continue to be awesome trades and remember we're trading this alerts portfolio with Relatively small size. I mean anywhere from one to five contracts at the max So we have a lot of members doing five or ten times that amount Obviously if you're more experienced to have a larger account, you could be multiplying these profit numbers Significantly, we keep it small because we want to make sure that you understand even with a smaller account You can provide consistent monthly income trading the strategies that we teach The amount of capital that we're using in the account is anywhere from 30 to $35,000 of buying power And so we typically use anywhere from one to a few thousand dollars in buying power per trade So depending on your experience and your account size you can really scale this to any level that you want If you are interested in getting all of our alerts down here at the bottom You see navigation trading comm for slash pro dash Member we are open for new members right now. So you can check it out We do have a 14-day trial for just a dollar if you want to check it out to see if it is right for you so one of the keys to our Consistent profits are the different strategies that we trade and the diversity of not only the symbols that we trade The amount of time in the trade, but also also the different strategies We had six different strategies this month. We traded some short strangles some short put verticals a calendar spread We were in the thick of earnings season So we did some pre earnings long calls pre earnings long straddles and post earnings short put verticals Let's jump over to the site if you go to navigation trading comm forward slash performance This is where we keep track of all our statistics for you and these are updated each month So for the calendar year of 2018, we've now closed 108 trades Our average profit per trade is $241 and our winning percentage is over 90 percent 90.7 percent and then if you scroll down you'll see each month So this is August the current month where you can see the 17 out of 18 trades were winners total profit 5835 and we keep all the past months as well going back to the beginning of 2018 and then also the trade stats for 2017 where we started in June of last year so you can see all the performance numbers winners and Losers going all the way back since we started total transparency. Our goal is to be completely transparent There's nothing hidden. We have nothing to hide. We want to show you everything the good and the bad So you can visit this page anytime again, it's just navigation trading comm forward slash performance Now I want to take you into the members area So if you're a pro member, this is what your membership area looks like You've got all your courses down here and then access to all the alerts our current portfolio and Closed trades, so I want to go through and break down each trade from this month So starting at the beginning. Let's go down to the beginning of August the first trade was Tesla. We did a post earnings short put vertical Textbook trade just like we teach in our earnings course booked a profit of 364 dollars there in Disney we did a pre earnings long straddle trying to take advantage of that pre earnings IV expansion worked out nicely for 162 dollars in Google we did a short put vertical got bullish on Google for this play made $477 in ZN, which is the 10-year note We did a short strangle there booked over 343 dollars there With Tesla we did a short put vertical booked a profit of $258 in EEM. We did a short strangle as well booked a profit of a hundred and thirty dollars in GS which is Goldman Sachs stock We did a calendar spread which is a another strategy that we teach to trade in low implied volatility environments booked a profit of a hundred and eighty four dollars there In DE John Deere We did a pre earnings long straddle booked a profit of 244 And what you'll notice is with this month We traded a lot of different individual stocks as opposed to as many ETFs And what you'll see is when implied volatility is really high We're doing premium selling strategies in some of these ETFs and broad market type Symbols whereas if implied volatility is a little bit lower or we're doing earnings related trades You'll see us do a lot more trades on individual stocks With Lulu lemon. We did a pre earnings long call booked a profit of 296 dollars in CVS did a post earnings short put vertical booked profit for 290 our one loser for the month was in video We did a pre earnings long straddle there. It just didn't quite Work out for us leading up to earnings announcement. So we closed it out for a small loss of a hundred sixty three dollars in Walmart we did a post earnings short put vertical booked a profit of 260 in BBY which is best buy did a pre earnings long call booked a profit of three hundred dollars even In ZN the ten year note. We came back and did another short strangle booked another profit of a hundred fifty six dollars and 25 cents in CRM which is sales force booked a profit of 492 dollars doing a pre-earnings long call and in Tesla again did a short strangle there booked a profit of 531 dollars in Ford slash 60 which is the euro futures. We did a short strangle there booked a profit of 750 and Ended the month with a short strangle in Ford slash GC which is gold and booked a profit of 160 So those are all the trades for the month of August again If you're interested in checking out our pro membership Just go to navigation trading calm for slash pro dash member you will get immediate access to all of our past alerts our current portfolio closed trades all the courses all the training that you saw in the members area as Well as you'll start receiving our trade alerts by text message and email It's good a navigation trading calm for slash pro dash member We look forward to seeing you on the inside. Happy trading


It's the huge film. There must be some stuff that didn't make the final cut. Is there anything we can look out for in the DVD? There's a lot of stuff that was cut out of this movie. Yeah. There's a lot more stuff that happens in Wade's house in the original draft than there's he as a neighbour, Mrs. Gilmore. Some stuff in the rebellion house. Should we stay everything that's cut? Yeah. We probably shouldn't be saying that. Oh, we shouldn't be saying that. Nothing was cut. Everything made it. Come on! She's like, no, come on! Then what you're gonna call it was cut. There was this obscure commercial that we had to recite from the 1980s in America called it's a what do you call it candy bar. And we had to recite this commercial jingle in a deep southern American accent. Both of you together? Yeah. Annoyed the crew because we had to do it over and over. I know. And there's shrill, shrill voice. Yeah. It was no wonder it got cut. Yeah. So this film is all about hidden Easter egg and there's also loads of fan references all over. So what's your favourite Easter egg that's in the film? I would say Iron Giant. Mm-hmm. I think Beetlejuice. Blink and you miss him but he's in there somewhere. I didn't see Beetlejuice. Well, there you go. You have to go and watch it again. Are you able to just give a gist of where we can look out for to find him? There you go. You've got to go. Yeah. You've got to go and watch it again. How many Easter eggs do you think you're planted? No. Steve said today over a thousand. Including music. You know, he doesn't even know himself. Everything that's in the film. It's literally like, there is so much happening and so much you can place in the background. And so I think the only people who actually know are probably the artists who planted them at ILM. This film all about video games. Are you guys gamers yourselves? It was made with the intention that anyone that are people who have never played a video game in their life could still enjoy the film. But it does have a lot of references to whether it's, you know, old games or there's a scene where we play an Atari. I think there's a lot of references to obviously 80s films in pop culture. I played a lot of VR games actually before I made this movie, which was fun. And I guess I could call that preparation for the role. No, I just played Sims on my friend's computer because she had a computer. Oh, we did. Oh, but that's too cool. Yeah, it makes my, I made an avatar. Yeah. Yeah.


We know a lot about the early solar system through our studies of meteorites. The meteorites when they come into the Earth's atmosphere burn up and they burn off a lot of the surface and they lose that skin. It's that skin which has the record of how the asteroid has evolved in the solar system. So what we're trying to do is reach out into the solar system, grab a sample, bring it back and try and understand the history of those objects and those asteroids around planet Earth. Well, Hobusa 2 is going out on an orbit to intersect with asteroid Rugu and Rugu's orbiting somewhere between Earth and Mars. So we're hoping to get skin samples which have got embedded radionuclides and things which we can date the surface and get an understanding of the recent history of our solar system. So Shrimp is a novel piece of technology, does micro-scale analyses of chemistry and isotope. We use a focused iron beam to sample very small areas of mineral grains and so ANU will receive a sample directly from the surface of an asteroid and so having the capability to actually analyse on the micro-scale is going to be a complementary aspect of these observations that we're getting around the asteroid at the moment and we can basically make our contribution to the understanding of the solar system.


Hello, I have completed the course on Neutron Scattering and I thought that those who are waiting for the examination, some discussion and also those who have completed the course, some discussion and some general information about neutrons and neutron scattering will be relevant. This is just to further your knowledge about the particle that you are using for neutron scattering experiments. The technical part of the course is over. This is more of general information which may be good for future applications also and for some general knowledge in the field. So we have been talking about scattering of thermal neutrons. So let me just say that again and again I said that neutron is a neutral particle of mass almost equal to that of proton. Actually neutron mass, mass of neutron is possibly slightly higher than mass of proton because we can consider neutron as consisting of a proton and an electron and a free neutron. That means the neutron which has come out of the nucleus is not stable and it actually decays into a proton and an electron plus an electron antineutrino. So this is what happens but the lifetime is quite long. Actually free neutron lifetime is around 15 minutes, approximately 15 minutes I mean say more accurately it is around 874 seconds. So this time is much longer compared to the time scale that we measure in neutron scattering. Typically I would say 10 to the power minus 9 to 10 to the power minus 13 seconds. So for all practical purposes all the experiments that we do using thermal neutrons, cold neutrons or epithermal neutrons we can consider the neutron as a stable particle for these experiments. Though neutron lifetime its measurement is still a major serious issue and in several reactors particle phases work on them because these have consequences on the lifetime of the universe but that's beyond the scope of the present time. Neutron mass as I said if you talk about energy its 935 mega electron volts is the mass of neutron in energies otherwise it is around 1.674 into 10 to the power minus 27 kg and this is some information on neutrons and we get neutrons from fission that means when a neutron is bombarded a thermal neutron that means almost zero energy bombards the uranium nuclei because it is neutral it's easy to penetrate the nucleus it forms a compound nucleus and then it breaks into usually two components not exactly always two or same mass but typically you can say barium and krypton are the fission products but there are ranges of fission product plus it produces 2.5 on an average more number of neutrons which are thermalized as I discussed earlier and used for thermal neutron scattering for condensed matter studies. You must remember that this is what happens in a nuclear reactor I talked to you about a spallation neutron sources where again there's a proton accelerated proton beam impinges a high Z target so it is not a fission reaction high Z target it can be tantalum it can be zirconium it can also be uranium but usually fissile uranium is not used and then the reaction is not a spallation which is boiling off so when it hits a high Z target it boils off and gives nearly 30 neutrons here and then these 30 neutrons are again similar to a fission reactor are brought down in energy and then used for using neutron scattering experiments but interestingly here we use a monochromatic beam usually in a reactor and we do the momentum transfer which I discussed with Egan again by variation of angle with a monochromatic beam maybe in different settings you can change but again change the theta to get to various Q values in a spallation neutron source it's a pulsed source so that neutrons are coming in pulses typically in pulses like 50 hours 20 hours in a second since it's a pulsed source it is also convenient to use the entire polychromatic beam for scattering experiments or in lambda versus lambda if I plot a neutron scattering experiment of beams we can use and since it is pulsed we can use what is known as time of flight time of flight spectroscopy that means we use non relativistic mechanics and when you use a polychromatic beam this lambda 4 pi by lambda sin theta this lambda in a polychromatic beam for a fixed theta this lambda is changing and when this lambda is changing your Q value is changing so I can do for a single setting without moving my detector or with the one setting of the detector I can get a range of lambda or range of Q because now Q and lambda they are tagged in case of a spallation neutron source and typically I can tell you a one angstrom neutron moves typically around 4000 meters per second so really speaking a distance of 70 80 100 meters if I consider from the source to the detector we can easily tag the time starting from the source and it's linear so that means four angstrom neutrons if I consider it will go around 1000 meters per second so in some of the problems that I've given you can use these things and you can calculate out various parameters the problems given so this is one part I wanted to share with you regarding neutron scattering I continuously use the term Born Approximation and I use terms like kf v ki to calculate out the scattering amplitudes but here one thing needs to be told to you that neutron is an S wave scattering S wave scattering I will just I did not discuss this part because this is what that means if I have a point target if I have a plane wave of neutrons then this plane wave I can break it up into spherical waves to spherical waves let me just show you in a spherical waves like this and these spherical waves have various l values l value means we know l is the momentum with respect to the center around which we do the breaking so I can find out the e to the power ikz if it's a plane wave I can break it up into l equal to zero to infinity or a radial part and a theta part for the spherical wave and then you can see that there is because neutron nucleus interaction is extremely short range you can I can say that if I break the plane wave into spherical wave of various l values 0 1 1 2 only the l equal to zero part of this plane wave contributes which is S wave so that's why neutron takes S wave scattering scattering scattering and this is scattering means that neutron nucleus interaction is extremely short range and out of the plane wave I can only choose that one which is going for a head on collision with the sample others other neutrons will not interact because it is a charge less particle and it is only S wave that means when it is going and hitting the target that neutron will only be considered others in the plane wave are not considered so it's a radial wave and then if that is the case I mean I have shown it in a diagram here and then the this part that we can write down the scattered wave amplitude at r going to infinity as consisting of a incident plane wave a scattering amplitude and a radial wave function which is going out if the sample is hit by a neutron then the scattered wave goes out spherically and this is given by spherical wave it is equal i k r by r so scattered flux if you consider f as a scattering amplitude is given by this and the scattering cross section is 4 pi modulus of f square where f is given by a real part and then imaginary part so now with this I will not discuss all these things all I can tell you that there is something called an optical theorem where the total scattering cross section is given by the 4 pi by k imaginary part of f where f is equal to f0 plus f1 it can be taken from the imaginary part of f and this is known as optical theorem in neutron scattering I did not discuss this earlier this comes more under the purview of nuclear physics but this is for your knowledge that this is the possibility that is this part of imaginary the imaginary part of component of the f gives us sigma total in terms of the expression given here and next part is the question paper that I have said now as I told you that questions are there using various techniques numericals are there but I would tell you that there are many questions where if you look at the answers by process of elimination without doing any calculations you can reach the right answer for example I can give a very macroscopic example for example if I consider that distance between Mumbai and Delhi I can give if I give the answer that one is 800 kilometers one is eight lakh kilometers and one is two centimeters you need not do any calculations just from the figure of Mary I mean from the distances listed you can see possibly 800 kilometers will be the closest to the answer and I have always said closest to so please you can do the numerical analysis or you can do the process of elimination by your logistics and arrive at the answer and my demand is that you give the closest answer because sometimes the numerical values may slightly differ from one another this is one and many of the questions are recalled type that means things which I discussed or gave you the information during my lectures you can use them to answer the question some questions they do need numerical calculations as I told you some of them you can arrive by process of elimination but many of them you need to do the calculations and I think the calculations will be simple enough for you if you have followed the lectures regarding scattering experiments please remember I have used two terms Bragg angle angle angle of scattering please note if I use the term Bragg angle you will realize that usually you are aware that 2d sin theta because the lambda is this angle theta but if you consider the angle of scattering then it is 2 theta so the Bragg angle Bragg angle is half of the scattering angle for the same setup maybe I use Bragg angle and scattering angle interchangeably I want you to accept this part that the Bragg angle and the scattering angle they are half of each other in this in these lectures and sometimes in the questions maybe and what's from there another part is that for neutron scattering cross-section which you might need one is that scattering cross-section as a function of energy of function neutron energy these are available as tables published by IEEA International Atomic Energy Agency for various elements you can access them from there because when you go to higher energies you can have resonance absorption also we are in the thermal energy range where these are not there and we consider the scattering cross-section cross-section as constant constant and I am refraining from mentioning the complete thing that you can use bright Wigner formula in nuclear physics to get scattering cross-section which also takes care of the inherent resonance scattering and you can write it as a radius part and then there are resonance energies plus half width for nuclear absorption and scattering and square of the whole thing so if E is much much less than e gamma the er sorry resonance then only 4 pi xi squared term remains which is same as what we were writing that 4 pi b square we wrote earlier so it is only this part but when you go close to resonance then you also need to consider the half width of the resonance at epithermal energies and this is known as the bright Wigner formula this I did not discuss earlier because for us the only the weak scattering limit and the scattering cross-section using coherent and incoherent links were enough to do all our theoretical and experimental data analysis thank you this with this I wish you all the best for the examination thank you


So, what happened since the last DEF CON in 2019, three years ago in Osaka? You can see a picture of me there with Fede, the CEO of Kledos, amazing guy, good person. We were talking about back then, is proof of human possible? You can see the slide there back in 2019, is a proof of human possible? You were wondering if we were able to do a protocol that would be able to formalize human identity on the blockchain and that would bring us, as you can see on the list there, democracy, universal basic income, portable credit, a lot of very cool social applications. So what happened since 2019? Nothing happened because a lot of the things that were theoretical that were just speculation about how we could do social identity on the blockchain or how we could do universal basic income became a reality. We have the proof of humanity protocol and the universal basic income token which is the very first application built on top of proof of humanity. So today I'd like to share with you a lot of the very interesting lessons that we faced in these two years building this, contributing, collaborating, open source which is the beautiful thing about building things as a community and to share some of the lessons that we learned in the process. So a brief recap of what proof of humanity is, it's a protocol, you generate a brief video of yourself, you get vouched by another human, stake a deposit for three and a half days, if you get challenged you go to a Kleros arbitrator, if not you become a verified human on the blockchain and we are starting to see social applications like UBI, the very first one, Lens protocol has integrated with proof of humanity, CISMO is doing zero knowledge NFTs for proof of humanity bringing a privacy layer on top of the civil resistant registry and it's amazing, we have I think around 17,000 humans verified on proof of humanity as of today. Why is this important? If you look at the World Bank statistics, they claim that out of the 8 billion people that were on this planet, almost 1.5 billion lack an identity and this is a very common problem especially here in Latin America, if you go to some of the poorest neighborhoods you will realize that a lot of teenagers, a lot of kids, they don't have any kind of identity which means they don't have any kind of access to services, to goods, to the state protecting them, so it's a huge problem and if you look into the conflicts today we have almost 100 million refugees in the world, these are 100 million people whose right to an identity is being rejected. So an important thing that we have to take into consideration when we build these systems and when we think about decentralized identity is that we need to make these systems resilient enough so they don't discriminate users, so they don't marginalize users and leave people outside of the door. We are fighting big brother and we need to understand that in order to fight big brother we need to understand that in the web 2 era and the web 1 era the void that the web protocol has in relation to identity was captured, was captured by Facebook and the big tech companies in the west and was captured by the Chinese Communist Party in China and this has led to the modern forms of surveillance capitalism where our privacy has been jeopardized and is now in the hands of a handful of corporations. So making sure that we are able to think about identity in a decentralized way and no big brother, whether that big brother is myself, Clement or Kledos or any private organization or the state or any entity that can jeopardize our right to identity is a very important fight. So this is core to at least in my view to many of the decisions and to many of the political choices that we have made as a DAO. So the main question I've been hearing since I arrived to DEF CON that everyone asked me is what's going on with the POH drama. We had a democratic summer, kind of analog to the DeFi summer that we saw a couple of years ago with the rise of DeFi protocols but with proof of humanity we have the virtue that it is the most democratic DAO in existence. I would even go as far as to say it is the most precious democracy we have in the entire internet because the proof of humanity protocol allows for formal verification of human identity, we can do one person, one vote and this has led to a very active, a very engaging DAO where all of our decisions are done democratically which is a big difference with all of the other DAOs where you do token voting and they are essentially plutocracies where the largest whales, the largest holders are the ones who are ultimately the decision makers. Democracy helps to put users, helps to give users power, not just the developers, not just the investors but the users have a voice in a democracy and that's the virtuous thing about it. A brief recap of the DAO, one person, one vote allows to delegate the vote, you can do vote delegation. We have quadratic delegations that help empower minorities over delegate whales and we have three phases of deliberation for proposals. These are the basic rules, quadratic delegations has been a recent improvement due to a farmer of delegations that we identified in the DAO and it's a very interesting experiment on how to make a resilient democracy on the blockchain. So that's democracy work which is a big question, making democratic systems, something that I once heard from an old activist, a former president of Uruguay, Pepe Mujica who once said to me that democracy is always a work in progress. Democracy is not an absolute totalitarian idea like all the other ideologies out there, it is the one exception, it is the one idea about how we think about ideas and it's in constant evolution and democracy is constantly evolving and adapting. Why it's important that we make democratic decisions, ultimately high risk decisions require a high level of legitimacy. The higher the risk, the higher the need for legitimacy. Decisions sometimes are not easy choices, obviously we don't go to a vote to make technical choices that are no-brainers. Those decisions are not high risk are basically you don't do a democracy in order to build an airplane, you just trust the airplane engineers to make the decisions for that. You go to democratic votes for the decisions that are facing conflicts of interest, for decisions that have multiple parties with different points of view and these represent very high risks for the outcome of the governance of a DAO or for the governance of a protocol or for the parameters of a given system, so high risk decisions require high legitimacy. There's a recent article I highly recommend it, there's the QR code for those of you who want to actually read it, these DAOs are not corporations and it's Vitalik basically explaining the nature of how democratic decision making can be very helpful for specific types of decisions in organizations and he gives this very good analysis of decision types where he claims there are concave worldviews and convex worldviews. Usually this chart is option A and option B on the X axis on both charts and there are concave decisions are decisions that usually are much better when you can negotiate between option A and option B and the best point is this point in the middle where you reach common ground and these decisions, concave decisions are much more compatible for democratic decision making because in democracy you have to negotiate. Convex decisions on the other hand, convex decisions are decisions where it's obviously A or B, should we vaccinate everybody or should we shouldn't vaccinate everybody? There's no middle ground in the middle in this type of decisions so it's obviously one or the other and these are convex worldviews. In the argument of Vitalik he argues that technical choices are more often than not convex decisions but governance decisions, what he calls sovereign decisions are usually concave worldviews and these are much more compatible for democratic decision making. So in Ordo in these 20 months of existence almost two years we had a total of 88 voted decisions which consist of 72 what we call HIPPS, Humanity Improvement Proposals and these had three phases. The HIPPS go through a process of three phases where there's a forum post, a signalling vote which is kind of reaching quorum if it makes sense to vote this or not and a binding vote which is makes the decision final and binding. One interesting thing about our DAO is that democracy actually brought engagement where the engagement of the DAO has grown over the past 20 months since the beginning and we are seeing more and more participation as more users engage with proof of humanity and more users engage on trying to have a voice on how we make decisions about human rights on the internet which is ultimately what a protocol like proof of humanity and many others are trying to figure out and the fact that we're trying to figure this out with democratic decision making and it's bringing more engagement, more participation to the DAO I think it's a very good thing. Maybe it's around 5-6% of the registered humans that participate in the DAO, it might not sound like a big number but when you compare it to the usual participation rates in other DAOs it's actually a very decent number. The good thing is that engagement is growing. So we analyzed a little bit of the decisions that we took in the DAO throughout these 20 months, half of the decisions we made almost 50% are governance decision mostly related to the governance of the DAO itself, 20% of the decisions are technical decisions parameters upgrading parameters of the smart contract or specific decisions related to the technical aspects, 6% were economic decisions related to allocating grants, allocating funds that the DAO has in the Treasury and 22% were policy decisions which means improvements in the policy that is used to evaluate the human applications on proof of humanity. So only the technical ones are mostly convex, most of the decisions around 80% of the decisions are actually concave decisions, decisions that make sense making with a democratic process. So another interesting thing is that half of the decisions had at least 85% of voter support, this means that half of the decisions that we took in the DAO, they had one of the options reaching 85% of consensus which is a very high number, a lot of half of the decisions had 85% of common ground people agreeing on that decision whether it's a yes or a no. And even more interestingly, I don't know where I have to point with this, 25% of the decisions out of every four decisions actually had 100% of support, unanimous voter support. Most of these decisions are really interesting because people when they think about democracy they think, oh, people are going to be disagreeing or people are going to be fighting over things, one out of every four decisions have 100% of unanimous voter support on the path to take forward. And the fact that we make that decision with the community rather than from an elite of developers showing their back to the community is actually putting trust in our users. It's putting trust in the people that are helping build this together and not in an ivory tower where you make decisions and you really just don't know what users actually want. So I have a deeper look about unanimous decisions. I thought initially that they were going to be mostly technical choices. To my surprise, actually the technical choices that had that kind of unanimous support is only 33%. And most of the decisions around 66% were actually concave decisions reaching unanimous support. So that's another interesting take that it's not only the technical choices that might get this, the convex choices that might get this kind of unanimous support. So those are just some numbers about the drama about, sorry, about the decisions we made in abstract form. But what led to the Dao drama? What led to the fighting and the debating and the arguing that we had in proof of humanity? Well, this is an old motto from politics, let's just follow the money. Just follow what's happening with the money routes that are within proof of humanity. And bottom line is that the role of Kledos in the protocol became a decisive factor on how we think about things. Proof of humanity is a protocol that was initially created by the Kledos team which is an extraordinary team full of amazing developers, great people. But ultimately when you start making this protocol subject to democratic governance, naturally there will be users that are more inclined to follow the interests of Kledos. Usually, obviously people that belong to the Kledos community who are PNK holders or employees of the company or obviously the core team of Kledos. And the community that is native to proof of humanity that came to the project because of proof of humanity and not necessarily to Kledos might have different interests than the very interests that Kledos pursues. This is an image from Dali. I lived to your imagination what keywords I used in order to generate the image. So to show some stats, we had 652 challenge profiles. These are the profiles that are dubious profiles that might not follow correctly the process to do the proof of humanity video. Of these profiles, we have a total of 153 addresses that acted as challengers of these profiles. The record month was 146. So the profile challenging has led to the whole game around proof of humanity becoming a little bit a far thing from being a fair game. And I'm going to dive deep into this. By the way, on Dune Analytics, there are some numbers that are wrong. We actually checked the data. So Salva who did the Dune Analytics stats should correct some things because of the 652 challenge profiles, we found out that if you get challenged nine out of ten times, you will get rejected from the registry. It means that if you are challenged, 90% chances that you're going to get kicked out. You will not be able to defend yourself. And that's not a very good thing for the onboarding process for a lot of the users. It's a very risky thing. We looked into the 90% of the profiles that got challenged and it turns out that 90% of the profiles, the main reason why profiles are challenged, we have the protocol has formalized a couple of states whether the person is deceased, the person died, the person does not exist, might be a deep fake, the person might be a duplicate, is a civil attacker or incorrect submission, the person just didn't follow the steps properly. Well, incorrect submission is 90% of the profiles that get challenged, get challenged for making an incorrect submission. Therefore, making a mistake, a simple mistake. And the problem, we have a deeper look, even a deeper look into this, into this, into these submissions. And the number one reason is incorrect address. Someone submitted the address and is showing the incorrect address in the video or the address in the video is not matching the address from the submission. A lot of challenges because of the video size, the resolution in pixels of the video, you get rejected from upgrading, uploading a video 8 pixels smaller than what is the requirement. Video artifact, no sign, address unreadable, address mismatch, facial features not visible, like Kevin Owoki looking three quarters. So a closer inspection shows that 90% of the people lost their deposit, which was 0.1 ETH, which is $600, $500, which is a lot of money, especially in Latin America where we have a lot of users, they got kicked out of the protocol. 90% of the people got kicked out of the protocol for making honest mistakes. Honest mistakes. So Vitalik said it in our chats. You lose your deposit if you do it wrong. Mechanism is harsh. It is very harsh and it is not a good look on web 3. It is not a good look on how we are trying to onboard people and give them the right to identity. Malicious challengers exist and they are constantly attacking and taking advantage of the unsuspecting users all the time. We even have a category of users we call both challengers who are addresses that vote for someone and then immediately challenge the very person that they have voted for in order to take their stake. So we have a lot of malicious users. And rejecting tokens, if you are doing this kind of mechanism to build a list of tokens or to build a list of objects, no, that's fine. But rejecting humans for making honest mistakes is discrimination. You are discriminating users because they don't have the skills and knowledge or the know-how on how to interact with web 3 protocols. So here is a simple, very important rule of thumb that I would like to enforce into our community. Justice is not the same as logic. More often than not, we have in our debates a sort of positivist view on how things should be done. Oh, the person didn't show the label properly, didn't follow the steps properly. And it takes a look around the behavior of people which puts logic over justice. But justice is very different from logic. Justice means trying to make assistance that is fair, that is empathic, that is able to attend and not to punish people for making human mistakes. We're dealing with humans. We're not dealing with robots. And the universe of humans is very different from the universe of robots. So some of the most controversial changes that we had to the protocol and the DAO, just to give you an example, the very first one was the video resolution thing. People were getting rejected because videos had 352 pixels of resolution instead of the required 360 because WhatsApp apparently crops videos. And people were sharing and testing videos on WhatsApp before uploading them to proof of humanity. People getting rejected for 8 pixels is not very fair. We have a very strong debate about allowing people to speak in their own language. Believe it or not, we have a lot of people opposing to making the proof in your very own language. A lot of people don't know English, so we had to actually fight to get people to be able to do the video proof in Spanish. We had the telegram groups which were built by the community. The community did everything to create not only the official groups but also the groups that helped people to get vouchers, the groups that helped people to learn how to make the video, groups that pay for the deposit for users. A lot of groups were built by the community only to one day suddenly find them being captured by the Kleros organization, which led to voting official groups on telegram and Twitter. And last but not least, we found a user farming delegations, farming delegations, almost 180 delegations of profiles that were delegating to this person the very second these profiles were created, which led to a debate around the nature of how we tally delegations and we came up with a model of quadratic delegations which incentivizes people to actually delegate to users with fewer delegations and makes delegate whales like myself don't have as much power the more delegations they get. This is a very new idea and we actually won that one with 70% of the votes. So if we actually grab the top five, these are the top six I think we have here, but if you grab the top 10 between the Kleros side, the Kleros native users and the proof of humanity users, the interesting thing is that the proof of humanity community, it has begun to win most of the proposals in contrast to the Kleros native community. And this is interesting because Kleros, of course, they created the protocol, they started the whole proof of humanity project in collaboration with many researchers, which I was very lucky to be among the very first ones to be contributing and collaborating on this project. But no single project ever begins decentralized. Nothing begins decentralized. You have to build decentralization, and you have to code the mechanisms for decentralization over time. And democracy can legitimately help decentralize the house. If we look today, as of today, if we look at the proposals, proposals started by the community have 79% chances to get approved and proposals started by the creators of the protocol, which is the Kleros community. So the community has been able to gather power, the users of proof of humanity have been able to gather power and put their, let their voice be heard thanks to democracy. Democracy decentralizes DAOS. This is what we're seeing in proof of humanity. Democracy is able to decentralize the power of the elite of developers that might have control over the protocol, might want to try to attempt to have control over the DAO, but ultimately democracy is a good recipe against neo reactionaries. Neo reactionaries is this world where users have no choice but to choose whether to go to this elite of developers or to this other elite of developers. It's a feudal model where users have no rights. Only the developers and the elite, the bourgeoisie, get to choose what are the rules of the system, what are the rules of the protocol, and users are left voiceless. But if we are democratic, if we build democratic DAOS, users have a voice, users are able to be heard. And this helps to actually decentralize, decentralize the power, decentralize the community, and empower the users over the elite of developers that might try to control absolutely everything. So let's talk about the bright side of life. What has led to the growth of proof of humanity? We were roughly 17,000 users right now. It's good to analyze what led to the growth. If we look over time, since the launch of the protocol, this is somewhat how the curve looks of user adoption. And the story behind this chart is that we can also look at the history of the price of the UBI token. The UBI token had two big moments. One is during launch, during launch, there was a lot of enthusiasm around the idea of UBI. So we had a lot of curious users that were interested in learning about this token, learning about proof of humanity. And then we had the miraculous day of October last year, a year ago, when Vitalik started buying and burning huge amounts of UBI. And the Vitalik burn, the Vitalik burn has led to a lot of users interested in proof of humanity and UBI. If we put the two charts together, the proof of humanity being the yellow line and the UBI price being the green line, this is not a novelty in this industry. Price always drives adoption. Price is always an important thing for capturing and getting users enthusiastic about that technology. UBI is this simple protocol for universal basic income. It's very straightforward, very simple rules, which requires an effort for the community in order to make this miracle of turning on your phone and getting your basic needs covered happen. UBI is a token that is streamed, streamed in real time to verify humans on proof of humanity. It's one UBI per hour per human, or 0.002H UBI per second for every human. It streams in real time to your wallet. There are UBI burning dubs and games that help burn UBI and build scarcity into the UBI model. It is composable with DeFi protocols. It's an ERC-20 token. It can be composed with any kind of protocol. And we have in these 20 months over $50 million worth of UBI transactions happening on the blockchain. One of the most powerful things about universal basic income is that it is the very feature that makes proof of humanity something different than being just a Web3 version of Facebook. These are some of the real faces of the people that were impacted by the power of UBI. When Vitalik burned his tokens and bought all of the tokens that were available on Uniswap, Araceli here, who is an oncology patient and a single mother, was able to use the money for UBI to get help for her cancer treatment. We had a lot of grandparents using Web3 for the first time. Of course, it might be their grandson or it might be a relative that is helping them to use the computer to be onboarded into proof of humanity. But I really, for the first time in my life, I'm seeing early adopters who belong to the third age who could be our grandparents because they are in countries like Argentina. An alternative like UBI for the first year, it was actually a very real alternative to the pensions that people get from the state. We had also users that were able to buy the materials to start building their first house. We had users from all over the world that suddenly found in this idea of universal basic income on the blockchain in a censorship-resistant network. There's a user from Myanmar. Myanmar is going through a dictatorship, through a terrible dictatorship. And because Ethereum is censorship-resistant, because proof of humanity runs on Ethereum, we are able to reach vulnerable populations that could definitely benefit significantly from having $50 a month or $10 a month, or even if Vitalik shows up $500 a month or $1,000 a month like we had during 2021. So we recently launched UBI.ETH. You can scan the QR code there. It has all the resources about universal basic income, about everything that we're trying to do with the UBI token. I'm very excited. We're actually now working on the version 2 of UBI that allows to use your stream of UBI tokens and break it apart into multiple streams, and you can delegate your stream to someone who needs it the most. You can use 10% of your stream for a charity. You can start using the streaming capacity in novel ways, and we're very close to launching this on Mainnet. We have applications like the UBI burner. Actually, any ETH that you send to UBI.ETH will go straight to the UBI burner. This is an amazing application built by Ruben from Venezuela, who fell in love with the project very early on. It's any smart contract, any protocol, anything that works on Ethereum can connect to the UBI burner and use a small percentage fee to burn UBI tokens. This one I really like coming from the Kledos community, Prode.ETH, which is a sports betting platform, and it uses 3% of the pool, 3% of the price pool to burn UBI tokens. I'll finish very quickly, just very quickly, just one minute, if you are kind enough. I'll give you 15 seconds, go for it. Recommendations moving forward. None of the human farms got removed during the challenge period. Challenge period is pointless in proof of humanity. Proof of humanity needs to be more accessible. A high deposit is still a high barrier of adoption. People complain about the high deposit. It's not very inclusive. Just make proof of humanity work like a token curated registry, reward challengers that detect human farms. Those are the real enemies, not users making honest mistakes.  And universal basic income is the proof of humanity killer that. Let every new proof of humanity registration create organic liquidity and support UBI, which will bring even more users to the protocol. Perfect, Santi. Thank you very much. Here is the new version of proof of humanity. Thank you very much.


Hello and welcome to the Monday Market Update with me, Dave Madden. Today's date is Monday the 21st of May 2018 and the time has just gone 11.25 British summer time. So as always with our Monday Market Updates, what we'll do is we'll have a quick look at the week ahead and the week ahead can be found on the news and analysis section of our website. So it's going to be a quite enough start for this week. Looking ahead to Wednesday, we have French, German and all the major eurozone PMI numbers coming up about services and manufacturing. Bearing in mind some of the economic indicators from the eurozone recently have been a little on the soft side, particularly on the relation to inflation, which would suggest demand isn't that high and if demand is dwindling in the eurozone, it could force the ECB to keep their monetary policy looser for longer. So depending on what those figures come in, it could obviously have a big impact on the euro. Bearing in mind, the US dollar has been very strong recently, which we'll be talking about later on when we look at some charts, but bearing in mind, if the perception is that the eurozone is going to be a bit of an economic soft patch, we could see continued pressure on the single currency. And speaking of the US dollar, on a Wednesday, we have an update from the Fed Reserve. This will give us an idea of how likely the Fed are going to raise rates three more times this year. Now the US dollar set a very good run in the last few weeks, as has US government bond deals. The markets are the attitude that we could see three more rate hikes from the Fed Reserve in 2018. But this update on Wednesday will give us a clearer picture of just what the US central bank are thinking. In terms of companies, M&S and Folger figures out on Wednesday. On Thursday, talk talk, I'll fill your numbers out. And on Friday, from the United States, Footlocker, we have first quarter results. So looking at the markets this morning, what we can see is that the European equity markets have got a lot to quite a decent start. The Fed is at a record high, and the CAC 40 of France has a new 10-year high. Essentially, the news over the weekend that the United States and America won't be, have suspended their plans to impose tariffs on $150 billion worth of goods from China has really boosted trade talks and also boosted global sentiment in terms of equity markets. So China and the United States are still in negotiation, but Beijing has stated they're going to significantly increase their purchasing of US goods. So America has suspended its intentions to place tariffs on goods worth $150 billion dollars that come from China every single year. So the overall market sentiment is quite positive. So now I'll take a look at a couple of the major charts here in Europe. So take a look at the Betsy 100, as it mentioned, it's lower than 7,800, a fresh record high. It's solid, and if anything, quite a remarkable upward trend for the past two months. So the market continues to push higher. Price is the best indicator. So the market is pushing higher. So should we continue on to drive on higher from here, the next big level to watch out for will of course be 7,900. Buying on the dip has been a popular strategy over the past seven or eight weeks. So if you see any pullbacks, we may find some fresh buyers enter the fold. We might find support in around the 7,800 area, or perhaps down as low as 7,550. We may even find buyers, even though these levels here, 7,685, or perhaps even as low as 7,630. I will say this, the market is pushing higher, but we are seeing a fairly obvious decline in positive momentum looking at the MACD indicator. So the market is pushing higher, so that's clearly bullish. The rate at which the market is moving higher is in the clients of momentum. So effectively the bulls are running out of steam, that the buyers are running out of momentum. Now this could be an indication we may see a bit of a pullback. But as I said, the most important thing to keep an eye on is the price. And the price is clearly going to the upside for the time being. Take a look now at what's going on over in France. There's the CAC 40 has reached a new 10-year high level as a credit crisis. European markets as a whole, I've had a good run in the last couple of months. As you can see here, the CAC 40 since March really has been pushing higher. Once again, in a solid upward trend, we're at 10-year highs. That tells you all you need to know about what the sentiment is, clearly positive. Any pullbacks in the CAC may find some support in around the 5,600 area. Or even if you have a wider correction, you may find some support coming into play in around the 5,525 market around here. Or perhaps even down as low as 5,500 itself. Move to the upside, of course. Should we continue on in this positive trend, the next big level to watch out for will be the psychologically important number of 5,700. American markets are tip to open higher as well. They're not at in as good a shape as those of the affected markets in Europe. But they are in fairly decent shape. This is the Dow Jones here. As you can see, the dirty moving average, this red line here acts as decent support. Or if you move below, but by and large, act as decent support in recent months. The market has been pushing higher here. As you can see, the Dow Jones has just about traded above this yellow line here, the 50-day moving average. I apologize, the 100-day moving average, which comes into play just south of 25,000. The market, if it takes out last Monday's high of 24,995, if you take out that level, which we're not too far away from at the moment, that will then bring us back to levels not seen since mid-march. So it would be at multi-month highs on the Dow Jones. And if you continue on, if you make a sizable move north for 25,000, the next big level to keep them out for will, of course, be the mid-march high of 25,507. I think on north of that, the late February high of 25,821. Most of the downside may find some support here from this blue line, the 50-day moving average, which comes into play at 24,422. Notice how that act as both as resistance and support only a few weeks ago. And if it's been a significant level for support or resistance recently, it's more likely to do it again in the near term. We'll take a look now at the S&P 500, which in terms of price action is at a fairly similar move. The S&P 500 isn't quite near multi-week, has just come off multi-month highs as well. But we could be looking at retesting those sooner up again. So as you can see here, the S&P 500 is holding up on this yellow line here. It's one of the moving average, which comes into play at 2,711. But then again, we haven't actually quite taken off the May high yet of 27,742. Should we go north of that, the next 80 kph on the upside would be 2,752. And we've got to go beyond that, but then we're looking up towards 2,800. Should we move to the downside and the S&P 500, we may find some support coming into play at this blue line here at 2,677, or perhaps even down as low as the maturity moving average, which comes this red line here, which comes into play at 2,632. So we've been talking about how equity markets are in decent shape. That's the equity market, which has been under a bit of pressure recently, and that is the gold market. There's been a very strong interest relationship between the price of gold and the US dollar. The greenback has been at multi-month highs. And so conversely, we're seeing a lot of pressure on the price of gold. So we see here, we saw here that the maturity moving average, this red line here, acts as decent support for the price of gold in the first half of the month. And it crashed through that level here. I think you'll see it's been grounding lower ever since. We're now at levels not seen since late December. In fact, we've actually created new five-month lows for the price of gold. So that tells you all that you need to know about sentiment. If we continue to push lower from here, we could be looking at heading down towards 1,280 or perhaps even low as 1,270. And if you take out 1,270, the October low in around the 1,260 area may come then into play. Move to the upside. We really would need to take out the dirty moving average, which comes to the play of 1,307 before we actually look to actually feel that this recent hour trend has come to an end. And if we go north of that, the next big lead to keep 1,904 will be the mid-May high of 1,326. We'll take a look now at what's going on in the oil market. Both Brent and WTI have been very strong recently, both have come off fresh 42-month highs. Last week, only on Thursday, we saw a fresh 42-month high accrued all the trade at a well north of $80 a barrel. So the market has been in a solid upward trend. Take a look at the wider mark here. From last June, it's a classic example of an upward trend, higher highs and higher lows. Granted, we had a fairly sizable pullback here. In February, once again, the wider upward trend resumed. And like I said, only last week, a few sessions ago, we hit fresh 42-month high. So the market's clearly an upward trend. If the market continues to trend higher, what we could see is targetting $81 a barrel or $82 a barrel. Pullbacks may find support from last Wednesday low, just north of $78 a barrel at $78.05, or perhaps even down last Monday's low of just north of $77 a barrel or perhaps even down at $76.45 in around this price action here for Brent Crude. Now take a look at the chart for WTI, a very similar looking chart. And that's been in a solid upward trend for about 11 months. The market, once again, last a few sessions ago on Thursday, we hit fresh 42-month highs. The market has been a touch lower since from then. So if we continue this positive trend at the old market scene, we'll be looking at retesting 72, heading up towards 73, 74, and so on. Moves to the downside, may find support in on the $71 mark or perhaps down as low as $70, spot 26, or $70 itself. It's only really if you take out the early May lows of 66, spot 79, but then we actually look at the market price turning over itself over the time being, and given what's going on with the uncertainty in relation to the Iranian deal and pending new sanctions on Iran, I suspect the sentiment is going to remain positive for oil in the near term. Take a look now at the Euro dollar, as I mentioned at the top of the video. The US dollar is at a multi-month high, levels not seen since the back end of 2018. And as you can see here, the Euro is at a sizable sell-off versus the US dollar in the past month. This combination of softening economic growth from the Eurozone and also a belief or a switching sentiment in relation to the US dollar and the Federal Reserve traders believe that we could see four, three more rate hikes from the Federal Reserve in 2018. So what this led to is the considerable sell-off in the Euro versus US dollar. As you can see here, it crashed straight through the turning moving average. The market rebounded, didn't quite get up to the turning moving average, and then turned lower again. So today on Euro dollar, if it's fresh six-month lows, levels not seen since October November last year. So we are taking a fresh multi-month lows on the Euro versus the US dollar. If we continue to push lower from here, and we could be looking heading back down towards 116.70, and if we go south of that, we could be looking heading at the November low at 115.54. Most of the upside may run into resistance in around 118, 119, but the real level then needs to be kind of retaken, rather, before traders could look to be confident this negative truth has been shaken off is the red line here, the turning moving average, which comes to play at one spot at 20.17. It's been a similar move on the pile on the first US dollar. There were a significant change in perception, race, and relationship with the Bank of England. We're going to talk to the Fed. We've got the Fed. I apologize, the Bank of England. We're going to raise rates this month, which they didn't. And now the Bank of England look far more dovish than they recently did. So it's a considerable sell-off in the pile and versus the US dollar. There's a lot of solid solidation in around this red line here, the turning moving average. So there was a real kind of sticking point. The market spent a lot of time, 50 or 70 points in around 50 or 70 pips away from that level. But then eventually, the market broke below the recent lows and has now traded down towards a 134 mark, 11 not seen since December last year. Should we continue to push on south of here, we could be heading back down towards 133. So the outlook for the pound versus the US dollar, we haven't seen any signs that this downward trend is coming to an end. If you do manage to push higher, you wouldn't need to take out the recent lows of 134.50. And if you go beyond that, we really need to get back above the 136 area before traders could become more confident that the upward move, that the downward trend has come to an end. And the move north of 136 could bring the late April low of 137.12 back on the cards. That's where we're wrapping things up. I just want to point out a few things on a trading platform here. Market insights here. There will be a recording of this video on insights here, as with other updates that we do throughout the day. Some of them are news analysis. Some of them are data alerts. In relation to the chart forum, which can be called under market pulse, the third option is chart forum. And the under market pulse, the second option down is market insights, which I was just talking about. This is a section of the trading platform where you can comment on a particular market. If you take a look here, just take a quick look of a snapshot I colleague Michael did, a picture here of the Euro dollar, a quick snapshot of the Euro dollar chart. And also, he wrote a few other words about price action and potential levels of interest on the chart forums. So keep an eye on that because it gets updated several times throughout the day. Well, that's all for me this week. Thank you very much.


Hello and welcome to the session. In this session we discussed the following question which says solve for x and y, 6 into mx plus ny is equal to 3m plus 2n, 6 into nx minus ny is equal to 3n minus 2n. So we are given two equations we need to solve for x and y that is we need to find the values for x and y. Let's move on to the solution. The given equations are 6 into mx plus ny is equal to 3m plus 2n. Let this be equation one then 6 into nx minus ny is equal to 3n minus 2m. Let this be equation two. Now we can rewrite equation one as 6mx plus 6n y is equal to 3m plus 2n then in the same way we can rewrite the equation two as 6n x minus 6m y is equal to 3n minus 2n. Let this be equation three and this be equation four. Now let's multiply equation three by m and we get 6m square into x plus 6mn into y is equal to 3m square plus 2mn. Let this be equation five. Then we multiply equation four by n and we get 6n square into x minus 6mn into y is equal to 3n square minus 2mn. Let this be equation six. Now adding equations five and six we get 6n square plus 6n square this whole into x plus 6mn into y minus 6mn into y and this is equal to 3m square plus 3n square plus 2mn minus 2mn. Now 6mn y minus 6mn y cancels then 2mn minus 2mn cancels so we get 6n square plus 6mn square this whole into x is equal to 3mn square plus n square that is x is equal to 3mn square plus n square this whole upon 6mn square plus n square. Now n square plus n square cancels and three two times is 6 so this is equal to one upon two. We have the value of x as one upon two. Now we substitute x equal to one upon two in equation three and substituting x equal to one upon two in equation three we get. Now this is equation three so on substituting x equal to one upon two this would give us 6m into one upon two plus 6n y is equal to 3m plus 2n. Now two three times is six so we have 3m plus 6n y is equal to 3m plus 2n. This further gives us 6n y is equal to 3m plus 2n minus 3m. Now 3mn minus 3m cancels and we have y is equal to 2n upon 6n. This nn gets cancelled and two three times is six therefore we get y is equal to one upon three. So on solving the given two equations we get x equal to one upon two and y equal to one upon three. This is our final answer. This completes the session. Hope you have understood the solution for this question.