Live from Las Vegas, it's theCUBE covering Dell EMCworld 2017. Brought to you by Dell EMC. Okay, welcome back everyone. We are live in Las Vegas for Dell EMCworld 2017. This is theCUBE's eighth year of coverage of what was once EMCworld, now it's Dell EMCworld 2017. I'm John Furrier with SiliconANGLE, also my co-host from SiliconANGLE, Paul Gillan, our next guest is Vikram Bambri, who's the Vice President of Product Manager at Dell EMC. Formerly with Microsoft Azure, knows Cloud, knows Viper, knows the management, knows storage up and down, the emerging technologies group, formerly of EMC. Good to see you on theCUBE again. Good to see you guys again. Okay, so Elastic Compute, this is going to be the game changer. We're so excited about one of our favorite interviews with your colleague we had on earlier. On structured data, ObjectStore is becoming super valuable. Absolutely. And it was once the throwaway, yeah, store the data lake, now with apps and data-driven enterprises, having access to data is the value proposition that they're all driving towards. Absolutely. Where are you guys dealing with making that happen and bringing that data to life? So when I think about object storage in general, people talk about it's the S3 protocol or it's the object protocol versus the file protocol. I think the conversation is not about that. The conversation is about the data of the universe is increasing and it's increasing tremendously. You're talking about 44 zettabytes of data by 2020. You need an easier way to consume, store that data in a meaningful way. And not only just that, but being able to derive meaningful insights out of that either when the data is coming in or when the data is stored on a periodic basis being able to drive value. So having access to the data at any point of time anywhere is the most important aspect of it. And with ECS, we've been able to actually attack the market from both sides, right? Whether it's talking about moving data from higher cost storage arrays or higher performance tiers down to a more accessible, more cheap storage that is available geographically. That's one market. And then also you have tons of data that's available on the tape drive, right? But that data is so difficult to access. So not available. And if you want to go put that tape back on an actual active system, the turnaround time is so long. So being able to turn all of that storage into an active storage system that's accessible all the time is the real value proposition that we have to talk about. Well, that helped me understand this because we have all these different ways to make sense of unstructured data now. We have no SQL databases. We have JSON. We have HDFS and we've got object storage. Where does it fit into the hierarchy of sort of making sense of unstructured data? The simplest way to think about it is we talk about a data ocean, right? With the amount of data that's growing. Having the capability to store data that is in a global content repository. That is accessible. Meaning one massive repository. One massive repository. And not necessarily in one data center, right? It's spread across multiple data centers. It's accessible, available with a single global namespace. Regardless of whether you're trying to access data from our location A or location B. But having that data be available through a single global namespace is the key value proposition that object storage brings to the bear, right? The other part is the economics that we are able to provide consistently better than what the public clouds are able to offer, right? You're talking about anywhere between 30 to 48 percent cheaper TCO than what public clouds are able to offer in your own data center with all the constraints that you want to apply to it, whether it's regulatory environments, whether you're talking about country specific clouds and such. So that's where it fits well together. But exposing that same data out whether through HDFS or file is where ECS differentiates itself from other cloud platforms. Yes, there's like, you know, you can go to a Hadoop cluster and do a separate data processing, but then you're creating more copies of the same data that you have in your primary storage, right? So things like that essentially help position object as like, you know, the global content repository where you can just dump and forget about, like, you know, about the storage needs. Dikram, I want to ask you about the Elasti Cloud Storage as you mentioned, ECS. It's been around for a couple of years. Right. You just announced a ECS Elasti Cloud Storage dedicated cloud. Sure. Can you tell me what that is and more about that? Because some people think of Elasti, they think Amazon, I'll just throw it in an object storage or a cloud. What are you guys doing specifically? Because you've got this hybrid offering. Absolutely. What is this about? Can you explain that? Yeah, so if you look at, like, you know, there are two extremes or two paradigms that people are sort of attracted by. On one side, you have public clouds which give you the ease of use, right? You just swipe your credit card and you're in business. You don't have to worry about the infrastructure. You don't have to worry about, like, you know, where my data is going to be stored. It's just there. And then on the other side, you have regulatory environments or you just have environments where you cannot move to public clouds. So customers end up putting ECS, right? Or other object storage for that matter, though ECS is the best. But, like, you know. Yes, but that's okay. Yeah. Now we're starting to see customers. They're saying, can I have the best of both worlds? Can I have a situation where I like the ease of use of the public cloud but I don't want to be in a shared part of environment, right? I don't want to be in a public cloud environment. I like the privacy that you're able to provide me with this ECS in my own data center but I don't want to take on the infrastructure management. So for those customers, we've launched ECS dedicated cloud service and this is specifically targeted for scenarios where customers has, like, you know, maybe one data center, two data centers, but they want to use the full strength and the capabilities of ECS. So what we're telling them, we will actually put their bot ECS in our data centers. ECS team will operate and manage that environment for the customer, but they're the only dedicated customer on that cloud. So that means they have their own environment. It's completely secure for their data. Exactly. No multi-tenant issues at all. No.  So you can do various permutation and combinations. That's giving customers a lot of flexibility of, like, you know, starting with one point and moving to the other. Let's just start with, like, in a private cloud, they want to move to a hybrid version. They can move that, or if they start from the hybrid and they want to go back to their own data centers, they can do that as well. Let's change gears and talk about IoT. You guys had launched Project Nautilus. We also heard that from your boss and earlier, two days ago. What is that about? Explain specifically what is Project Nautilus. So as I was mentioning earlier, right, there's a whole universe of data that is now being generated by these IoT devices, right? Whether you're talking about connected cars, you're talking about wind sensors, you're talking about, like, you know, anything that collects a piece of data that needs to be not only stored, but people want to do real-time analysis on that data set, right? And today, people end up using a combination of, like, you know, 10 different things. They're using Kafka, Spark, HDFS, Cassandra, DAZ storage to sort of build together, like, you know, a makeshift solution that sort of works, but doesn't really, right? Or you end up, like, you know, if you're in the public cloud, you'll end up using some implementation of a lambda architecture. But the challenge there is you're storing same amount of data in few different places. And not only that, there is no consistent way of managing data, processing data effectively. So what Project Nautilus is, our attempt to essentially streamline all of that, allow stream of data that's coming from these IoT devices to be processed real-time or for batch in the same solution. And then once you've done that processing, you essentially push that data down to a tier, whether it's ISLON or ECS, depending on the use case that you're trying to do. So it simplifies the whole story on real-time analytics and you don't want to do it in a closed-source way. What we've done is we've created this new paradigm or new primitive called streaming storage and we are open-sourcing it via Project Pravega, which is in the Apache Foundation, right? We want the whole community, just like there is a common sense of, like, you know, awareness for object, file, we want to do that same thing for streaming. So you guys are active in open-source, explain quickly, a lot of you might not know that, talk about that. So yeah, as I mentioned, Project Pravega is something that we announced at Flink Forward Conference. It's a streaming storage layer, which is completely open-source in the Apache Foundation and we just open-sourced it today. And giving customers the capability to contribute, code to it, take their version or, like, you know, do whatever they want to do, like, you know, build additional innovation on top. And the goal is to make streaming storage just like a common paradigm, like everything else, right? And in addition, we're partnering with another open-source component. There is a company called Data Artisans, based out of Berlin, Germany, and they have a project called Flink. And we're working with them pretty closely to bring, not less to fruition. The queue was there by the way. We covered Flink Forward, again, one of the- True streaming engine. Yeah, that's great. Very good, very big open-source project. Yeah, we were talking with Jeff Woodrow earlier about software-defined storage, self-driving storage, as he calls it. Where does ECS fit in the self-driving storage? Is this an important part of what you're doing right now? Or is it different, do you have a different use? Yeah, our vision right from the beginning itself was when we build this next generation of object storage system, it has to be software-first. Not only software-first, where, like, you know, a customer can choose their commodity hardware to bring to bear, or we can supply the commodity hardware.  Because you have now billions of billions of records that are being stored on ECS, you want ease of search of what specifically you're looking for. So we introduce metadata search capability. So making the storage system and all of the data services that were usually outside of the platform, making them be part of the core platform itself. Are you working with Elasticsearch? Yes, we are using Elasticsearch more to enable customers who want to get insights about ECS itself. And not less, of course, is also going to, like, you know, integrate with Elasticsearch as well. Vikram, let's wrap this up. Thank you for coming on theCUBE. Bottom line is, what's the bottom line message quickly? Summarize the value proposition, why customers should be using ECS. What's the big aha moment? What's the value proposition? I would say the value proposition is very simple. Sometimes it can be like, you know, people talk about lots of complex terms. It's very simple. Sustainably low-cost storage for their, like, you know, for storing a wide variety of content in a global content repository is the key value proposition. And use for application developers to tap into the whole DevOps, data as code, infrastructure as code, movement. You start, what we have seen in majority of the use cases, customers start with one use case of archiving and then they very quickly realize that there's, it's like a Swiss Army knife. You start with archiving, then you move on to, like, you know, application development, more modern application, or cloud-native applications development. And now with IoT and not less, being able to leverage, push data from these IoT devices onto ECS. As I said on, two days ago, I think this is a huge important area for agile developers. Having access to data at less than a hundred milliseconds from any place in the world is going to be table stakes. ECS has to be, or in general, object storage, has to be part of every important conversation that is happening about digital IT transfer. This sounds like eventually most of the data is going to end up there. Absolutely. Okay, so I'll put you on the spot. When are we going to be seeing data in less than a hundred milliseconds from any database anywhere in the fabric of a company for a developer to call a data ocean and give me data back from any database, from any transaction, less than a hundred milliseconds? Can we do that today? We can do that today. It's available today.  So they can architect it. Yeah. They have to architect it. If it's all on ice a lot. But they can pull it, they can cloud pull it down from our saloon to ECS. True. Yeah. Speed, low latency is the key to success. Congratulations. Thank you so much. And I love this new object store. I love this tier two value proposition. It's so much more compelling for developers, certainly in cloud native. Absolutely. Vikram, here on theCUBE, bringing you more action from Las Vegas. We'll be right back as day three coverage continues here at Dell EMC Real 2017. I'm John Furrier with Paul Gill and we'll be right back.


Hey you guys today, we're gonna be using the v o fives hot oil therapy intense moisturizing treatment You guys this brings back so many memories for me My mama used to use this on my sister and I Every so often and I felt bougie when she was did it when she was doing it Excuse me. I just remember seeing the little oil floating in water So that was a great memory for me in my childhood. So anyway, um I've seen these in the stores every now and then and I'm like, I wonder how that will work. I don't do hot oil treatments No, I on a I Probably have done less than five hot oil treatments the entire time. I've been natural I'm just gonna keep it real with you guys But I've been wanting to try this and I purchased this through eBay Of course, you could purchase it at your local grocery store or you know, Walmart Target, whatever Um, and I've seen it out and about I just never thought to grab it. So anyway, you guys the ones I got contains two and This is what they look like This is point five ounces for each one So I read the ingredients and the couple of ingredients popped up for me first of all It has keratin amino acids hydrolyzed wheat protein. I love vera leaf I love vera leaf is up there in the top five ingredients actually Vitamin B vitamin C and vitamin E. I'm trying to find it now It says here on the front five vitamin and five protein formula. Okay. I write that so the instructions also make it clear to do a pre shampoo The times I've done on a hot oil treatment. I believe I actually did them after I shampooed But before conditioned I'm gonna follow the instructions and I'm going to apply it to my hair slightly damp And it says rinse out after one minute No, we're gonna rinse out I'm not gonna go way off We're gonna do five minutes. Okay. All right, you guys This is what my hair looks like after he has been loose not twisting for about four days This is typical of four type air Again, I'm a mixture of 4b and 4c And so what I'm going to do is section my hair off to make applying the oil easier I'm going to lightly mist my hair with water Open up one of the containers and apply it to my hair now look girl I don't know what made me thought that I could cover my entire head with two of these little bottles of oil of oil because again, it's about 0.5 oil and the In the bottle itself and I typically use the few times that I do a hot oil treatment I typically use a oil that's a little thicker inconsistency such as olive oil or castor oil Um, so yeah, I don't know what I was thinking So all I'm doing again as I stated is to lightly mist my hair with water Apply the oil and then I'm going to go ahead and twist my hair and large size twist Try to get to my scalp. But with this type of density sometimes it's hard to do. Um, I oftentimes Look, I'm all I'm all done. That was just one one bottle. So anyway, I oftentimes use a applicator Applicator drawer, excuse me to get to my scalp, but but I wanted to use What was provided so I figured I might as well get to the back section with one of the bottles Okay, so that's it. I'm going to leave it on my hair for about 10 minutes actually All right, you guys I am done rinsing out the hot oil treatment and it rinsed out fairly well um Yes, I definitely needed more of the hot oil But here's the thing I just feel like for the price point in the amount that I would have to use for my hair I'm not sure if it would be worth it again just due to the density of my hair. Um My hair feels soft. It feels conditioned. So that's what I feel like overall this product did for my hair It conditioned it. Um, but I don't feel like I had a Great hot oil treatment. This is the other side. Um, I prefer thicker thicker oils For a hot oil treatment my hair feels good So Here is what I think I feel like if you have normal density um If you're not rocking around with three lace front wigs on your head like me, um If you have normal density if you have forward type I think that it would be a great product to pick up in the store real quick But truth be told if you have your own hair oil mixture at home I think that may be a little bit better. So that is it you guys I just want to try an oldie product. Oh, let me back up And I honestly also think that if you are relaxed that this product would be great for your hair Um, because I remember my my mama using it on our hair when we were when we were relaxed I can't remember ever having natural hair as a child. That's how long I've had I had relaxed hair. I should say. Um, I also think it would be great for three type chicks. Um any hair types, honestly So that is it everyone. Thank you so much for watching. Take care. Bye You


This video is going to talk about adding and subtracting polynomials. Alright, so if I want to add polynomials, the idea is to group your like terms together and then add the coefficients of the like terms. We're going to keep the variable, all we have to add are the coefficients. So if I wanted to, I could rewrite this as 2A plus 4A, and then add my 4, which is a constant, and then subtract my 8, which is also a constant. And now you can see that we have 8 terms and constant terms. So I'm going to combine these. 2A plus 4A is going to give me a total of 6A, and 4 minus 8 will be minus 4. There, 6A minus 4 is a solution when we add.  And I'm going to cross these off so I know that I've used them. Here I have an x, and here I have an x over here. So I'm plus x, and then minus 3x, and then I've got my constants. So minus 12 and plus 6. So now I've got all my like terms together. I've got only one x squared. I've got two x terms, and I've got two constants. So 5x squared, when I combine my x terms, x minus 3x will be minus 2x. And negative 12 plus 6 will be minus 6. So when I add those polynomials, I have 5x squared minus 2x minus 6. Finally, we want to subtract. But before we subtract, we need to think about opposites. So if I want to know what the opposite of x minus 2 is, which by the way would be written the opposite of the quantity x minus 2, then that means that everything inside here has to be the opposite. So the opposite of x minus 2 would be negative x plus 2. And if I wanted to have the opposite, again, it would look like a negative out front and then my polynomial inside. So if I want to know what the opposite of this polynomial is, I just change the signs on each thing. So it was a negative x squared. Now I'm going to write it as a positive x squared. This was a negative 9x, so I'm going to say plus 9x. This was plus 6, so I will write minus 6. And now I have the opposite coefficient. So that's what we need to do when we're subtracting polynomials. We need to find the opposite of this second polynomial. So I can rewrite this polynomial here. The opposite of 4A minus 8 would be negative 4A plus 8. And then all I have to do is just carry down the rest of my first one, doesn't change at all, so I just carry it down. And since I found the opposite first, I already have my operation in front of my next term.  And working on this problem, if I write my first polynomial, I have 5x squared plus x minus 12. Another way to think about this is that you're going to distribute the negative. If I distribute the negative, it's a negative times a negative, which gives me a positive 3x. And then the other way to think is what's the opposite of negative 3x? Positive 3x. And if I go back to my distributive, you have to remember to distribute all the way through. That's why this is my least favorite way to do it. So a negative times a positive is going to give me a negative 6. But what's the opposite of 6? Negative 6. And if you can just remember to take the opposite of your polynomial, then you will take care of all the terms. All right, combining like terms now, I have 5x squared plus x plus 3x, and then I got my minus 12 minus 6. So 5x squared is the only x squared term. And then I've got 2x terms. 1x plus 3 more x's would be plus 4x. And I've got 2 constants here. Negative 12 minus 6 will be minus 18.


Wow, what's up everybody, once again it's Brand Man Sean and today you gotta talk about something real quick that I came from a conversation I had with an artist the other day.  If your style is the super technical fast rapping M&M type vibe, don't go to clubs where people are coming and wanting to hear mumble rap. And if you're mumble rap, don't go into those environments where people want to hear your high lyrical, there's so many nuances, other different styles, but you get the point. It's not that people don't even necessarily listen to more than one type of music because I'm one of those people but when people go to an environment for a certain vibe they're not really going to listen or they're not coming to be open to the message that you have to give. There's a time and place for everything, so two things. Not only do you want to get in front of people who appreciate what you're doing but you have to get into space where people go to appreciate things similar to what you offer.  There's a time and place to do the opposite but that's a whole another conversation. You know what to do. Subscribe!


Welcome to this week in Longmont for December 6th, 2020. I'm your host, Craig Stevens. Free holiday events with Santa. Santa has hard at work this holiday season, taking calls and making toys over Zoom. North Pole Toy Workshop Friday, December 11th and Saturday, December 12th. Pick up your free toy kit, instructions on registration receipt for children ages 0 to 13. Then join Santa's virtual tutorial at your scheduled time. Friday is for elf ornaments. Saturday is for holiday treat trays. Calls with Santa. Saturday, December 12th or Sunday, December 13th, up to five children per call. Register for these events at longmontcarrow.gov forward slash longmontlights or call<PHONE_NUMBER>. An adult must be present and visible to Santa at all times. Special thanks to Xfinity at Home Depot for their sponsorship.  From 7 to 8.30 p.m. on Monday, December 14th, the Longmont Library will again host Are You Smarter Than a Librarian? This interactive online trivia game for adults and older children is moderated by a Longmont Librarian. It can accommodate up to 25 people, teams, or households to compete for bragging rights by winning the best of five rounds of play. For more information and to register, please visit bit.ly forward slash lib programs. Cookie Decorating and Cozy Stories. Celebrate the arrival of winter with cookie decorating and cozy stories with the library. From 5 to 6 p.m. on Wednesday, December 16th, children's librarians will host a two-part online program featuring cookie decorating and winter theme stories. Registration for cookie decorating includes a free cookie decorating kit that families can pick up at the library's curbside delivery. Register online at bit.ly forward slash lib kids by December 15th. Give yourself the gift of savings. Buy yourself the gift that saves water and money. Upgrade your old toilet to a more efficient model. Restrictions apply. Learn more at bit.ly forward slash water rebates. Or call<PHONE_NUMBER>. Stories of our Longmont Parks. In honor of the 150th anniversary of Longmont's founding, former city employee, Paul Fitzgerald, has released her new book, Stories of our Longmont Parks. A pictorial history of the city's 31 neighborhood and community parks. Stories of our Longmont Parks is on sale for 24.99 at bit.ly forward slash Longmont Parks book. Or by calling the museum at<PHONE_NUMBER>. You could pick up your purchase copy outside at the museum at 400 Quail Road. It is also available to borrow from the Longmont Library. The December shred event canceled. The shred event scheduled for December 5th at the Waste Diversion Center is canceled. The next shred event is scheduled for January 9th, 2021 due to uncertainty related to COVID-19. Please confirm before leaving home that the event is being held. The Waste Diversion Center at 140 Martin Street is open and there's a designated bin for shredded paper at the drop-off area for more information. And a schedule of 2021 shred event dates, visit bit.ly forward slash paper shredding. Senior Services Winter Go Catalog available. The quarterly Go Magazine for adults 55 and older is now available online. View the Winter Go Magazine online now. Printed copies will be made available soon. Be sure to subscribe to our email newsletter to be notified. The Senior Center has many online classes, lectures, and discussion groups scheduled for December, January, and February. And registration is now open. Check out the catalog and call<PHONE_NUMBER> to register for programs. You could also register online here. Even though the Senior Center is still closed, we are grateful to be able to provide online activities for older adults in our community. Many activities have a call-in option if you can't use a computer or smart device. Our Senior Technology Coaches are also available to assist you in learning how to use Zoom. Visit the SCTC website for more information. This has been This Week in Longmont for December 6th, 2020. Thank you for watching.


Alright, we're going to go through just a couple of examples of using what I call the AC method for factoring quadratics when the leading coefficient is not one. So the reason it's called the AC method is because our first step after of course factoring out any greatest common factors will be to multiply the A and the C values together. So in this case I will multiply six times a negative thirty five and when I multiply those two together I get negative ten. So just like before on the side I always make my little list here of what we need and we're going to need two numbers that multiply to negative two hundred ten and just like when the coefficient was one to find what they have to add to we look at the term that is the coefficient of our X or the B. In this case it's just a one. So we need two numbers that multiply to negative two hundred ten and add to one. So feel free to pause the video and do some trial and error to see if you can find the two values. But the two values that we'll use in this case are going to be the numbers fifteen and negative fourteen because fifteen times the negative fourteen is negative two hundred ten and fifteen plus the negative fourteen is one. So unlike when our leading coefficient was one we can't just use those numbers in our factors. What we'll have to do is write out the entire expression. So we keep the six X squared the same but instead of writing just X we're going to split it up and write it as plus fifteen X minus fourteen X. So notice those two added together do add up to one X but we're just separating it and then we're going to keep our constant at the end the same minus thirty five. So to factor this expression what we'll do is we'll factor by grouping. We're going to group these first two terms and these last two terms together. So here six X squared plus fifteen X we're going to just see if there's anything they have in common that we can factor out. So first I look at the number six and fifteen both have a three in common and then X squared and X both have an X that we can factor out. So I'll write that down and what I'm left with when I factor three X out of these two terms is two X plus five which I'm going to put in parentheses after it. Now after factoring those first two terms I look at the last two terms in this expression negative fourteen X and a negative thirty five. Again I just want to look to see what the two of those terms have in common. The numbers I see they both have a negative seven in common and then an X they don't both have an X so I'm just going to factor out a negative seven. And when I take a negative seven away from negative fourteen X I'm left with two X and when I take it away from the negative thirty five I'm left with plus five. And notice this isn't just a coincidence that this happened I have two X plus five in both of these terms. So the only way that this will work is if these are the same in each piece. Because when they are the same we can factor it out so we get two X plus five as one of our factors and remember when we take that piece away from each of these we are left with our second factor three X from over here and minus seven. So those would be the factors of that first expression. Now we can do this same thing with our second one. Okay just for one more example to start out we look to see if these have anything in common but there isn't a greatest common factor to factor out. So since there isn't we'll multiply our A and our C together the four and the three and four times three is twelve. So we need two numbers that multiply to twelve and then they have to add up to the B value which is the number in front of the X and in this case that would be seven. So two numbers that multiply to twelve but add up to seven while in this one it's nice and easy because it's the two numbers we used four plus three and four times three are twelve and seven. So we'll write it out just like before keep the first term the same four X squared and then to write the seven X you'll have to write it as four X plus three X it doesn't matter at all which order you put these terms in you will get the same factors.  So we group the first two and the last two and the first two terms have a four X in common. So we'll factor that out and when we take away four X we're left with X plus one. Then the second grouping they have a three in common. When we take away a three we're also left with X plus one. So we have an X plus one in each piece we can factor that out and when we take away that X plus one we are left with our second factor four X plus three. And so the factors there will be X plus one times four X plus three. There are many other methods to factoring but this is just the AC method which is the method that I prefer to use when factoring.


The following is a presentation of TFNN the Tiger Technician Hour with your host Basil Chapman call now toll free at 1-877-927-6648. Hi everyone Basil Chapman here Tiger Technicians Hour Monday October the 4th and October is starting to be very interesting big move on Friday from below 3375 785 in the Dow bam goes right to the look this right on the daily chart on the left side the week in the middle monthly on the right goes right to the 14 period exponential moving average and it gets repelled back to when the tad over then it got repelled so basically what we're doing for subscribers to an opening call we went along a position and the diamonds on Friday but only as a trade because we're anticipating at some point this week we probably going to go back to the short side and with that said so far we're down 40 we were up a little bit we went to 34,410 just above the nine-page little pink nine-page moving average and now we below that this is a real struggle and the more work I said to subscribers to an opening call in the overview that I did I do a webinar on Saturday or Sunday it was in Saturday this week for subscribers to an opening call and I said we're going to go through things but there are a lot of stocks that are very interesting that I'd like to get but not yet there's really little that I actually want to buy I'd rather just go with an index and they have a stop so we take a profit and boom get out of it and in the meantime back at the ranch what we're looking at is the MACD is holding quite nicely in the data look the histograms improving but the pink nine-page moving average is way under the 14 there's going to be a real struggle to go positive that's number one number two is the stochastics pulling back is a 38% and the on balance volume showing no strength whatsoever so all I can say is that I'm anticipating that this arch formation the pattern that I call in the Chapman way methodology I always look at basically three three forms of movement one is a straight line up or down two is a cup formation that could be a V where you're going from one point down in the back and how you deal with that left side high is very important and number three is where it makes an arch or an inverted V and sometimes like today you get that single leg A to the upside you'll see it here in the one minute chart look single leg A up after making a peak D it pulls back at about 850 this morning around about 4340 come down down down all of a sudden pop to the upside and that's a single leg A up and it fails and now it's struggling to try to find any support whatsoever that's the E-mini so now what we're looking at is this arch formation which often fails at a peak A or B the second first or second peak and comes down we're going to be watching this really closely my anticipation is that we get some form of where did that go some form that it is some form of the lowercase h they can become a lowercase amma so that it goes sideways and basically a rectangle formation and then takes out the bottom it often does that we're going to be watching that very closely all right back to our story let's get out of that right there so the parameters are very simple a close below 34200 that's just 110 points lower than we are right now says a really good chance that it's going to fail or struggle and make just a really weak push to the upside if I later on in the day the down is trading up about 60 points or more and holding and you can get a little bit of a bounce in the cues or the IWM muscle 2000 that will help but that's not happening right now let's go to the SMP and you can see the weekly chart I put it down arrow at this peak G at 35,631 we've had seven weeks six weeks this will be the seventh week below the all-time high the monthly chart is made a peak D does that mean at peak D the fourth highest peak other things can happen that's when we usually get very cautious this is the down monthly chart we'll see what happens make it real simple anytime in the next week or two the close below 33,300 says uh-oh probably going all the way back down to the low that was made back in what was in June at 30 33,271 so this is going to be ready 33,271 wait my way that was the low the week of the 18th of June so that says a close below 33,000 at any point that would be really negative and we're at 34,455 so that's quite a way off on the upside a closing weekly price above 34,650 would be very good and say yep there's that rectangle or arch formation let's go to the SMP SMP at this particular point week down 26 at 43,30 there's that lowercase h it failed it took out the left side low of 4305 back on the what was it the 18th of September big rally to the Jaffa we've inside track repellent zone gets repells at a peak a goes to peak a minus whoops I forgot to make that a minus because it took out the left side starting point and always becomes a minus you have to start over and it went below it went to 42 88.52 on Friday tried to rally couldn't even make it to the ninth year moving average and kaboom we're down a game today this is really very weak action and that weekly chart has gone from a cell signal I should have said it's probably a cell mode because it closed underneath the nine-period moving average but that nine-period moving average is still way above the 14-period moving average I'm just giving it a little leeway what I can say is sliding doesn't have to close but a slide below 42.75 says uh-oh weekly cell mode we've got time and price on our hands into October and the monthly chart is only in a leg B we always expected these four higher peaks in a buy mode this is a buy mode in the monthly at some point we should get to leg C and then leg D up nice move suddenly and sudden suddenly some somebody did some buying look at this on the one-minute chart boom all of a sudden you got a little spike to the upside so you've seen a lot of those a lot of those are felt I think there's a little bit of a leverage here towards the upside oh I need to do something else let me just show you before I forget the QQQ the 354.38 low of yesterday after 382.78 I mean that's a 30 point down move and so that's it's almost like a nine percent move in the Q's that any x100 and they were the leaders and that's the big thing that I'm talking about all the time I yes they say higher yields do affect and impact negatively the tech stocks but you know the index 100 is made up of other things as well it isn't just tech stocks so I'm looking at this and I'm thinking that they do for a really good timeout this is a timeout and they don't have to go all that much deeper there from here there's a lot of support in the 350s but a break below 350 says oh now we're into something a lot more serious so just in the meantime think of it as a big consolidation in the index 100 IWM the Russell 2000 those small caps are trying to find some support they also have those smaller banks they have the smaller this oil service sector but even here it's a struggle it's just a sideways strut in fact it kind of looks like the gold chart look sideways move look at the gold sideways move this is making lower lows and low highs just down one right now 1757 I just think that gold is in play for intraday trading but nothing yet bigger than that I wouldn't be surprised if there is something into gold just a little later on if we start to see the gas solar as well as solar is up just a little bit stuck in the lower range but if we start to see the Bitcoin while it was having a big move here I was still on that the Bitcoin is small position we are short the QQQs along the down shorter so we're back back in a moment because we want to look at high fake profit when looking cutal when looking bonds will be back are you looking for a way to consistently add winning trades to your portfolio Tom O'Brien is here to help Tom O'Brien has been successfully trading markets for over 30 years a frequent contributor to TD Ameritrade Network and CNBC Tom O'Brien founded DFNN over 20 years ago to help educate investors just like you Tom's daily market newsletter market 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show you emerging trades before they happen for a limited time you can save $100 off your first month by using the promo code upgrade and you still get a 30-day money back guarantee so you have nothing to risk level the playing field with the TAS profile scanner which you can find under the services tab at TFNN.com sign up today sharpening your skills as an investor is like getting better at playing a musical instrument you have to practice sure but you also need excellent instruction from experts at TFNN you'll get advice and guidance from the authority and technical market analysis and it's not just dry tedious text either TFNN airs live financial content streamed live on TFNN.com and TFNN YouTube channel with Tiger TV live every market day from 8 30 a.m. to 4 p.m. Eastern for free each host is an experienced trader and gives their take on the market while taking calls and questions live from around the world from the moment the market opens until the closing bell sounds Tiger TV has eight different shows with expert hosts to help you make the right moves with your money watch online at TFNN.com or on TFNN YouTube channel and become the investor you were born to be TFNN educating investors call now toll free at 1-877-927-6648 internationally at<PHONE_NUMBER> hi folks we're back this is Monday the 4th of October the Dow is now down 35 estimate he's down 25 and we're looking at Bitcoin boy Bitcoin is up 90 and a really yeah these moves in Bitcoin are not for the the the the fickle hearted because I'll look at this it goes from 53,125 a peak D in the Chapman we remember D the fourth highest peak is where other things can happen wow the other things happen it had a range of 53,125 and a low of 43,840 then it gets stuck in the range and it does dreaded H pattern goes under it over it under it and then out of the blue the second H pattern is successful one off the 200-speed moving areas whoop the rocket ship back up again has a spectacular move between Thursday and Friday game from the 41,000 to the 48,000 here it is a 48,510 but if you look at the weekly chart that really tells you what's going on it's kind of stuck in the range but very much in play for some people with much bigger moves than gold now it is trading at 48,900 510 and if you're looking at gold is trading at 1755 I would say that there's a little difference in price but if you're looking at patterns percentage wise you've got big moves here but the unfortunate thing about gold is it's making this arch formation it is holding way above the low that was made back around about the ninth or so of August in the below 1680 with a big move to a peak D in the daily chart at about 1838 ish and then it comes down with these H patterns it hasn't had that big spike but if you look at the XLF excuse me in play towards the upside S&P financial spider fund why because of this look the TLT yields are going up as the TLT bonds are price is going down from 151s down to the 153s is trading 144 36 right now and because the because the year the rates are going up it's helping the banks now it's not the end all and be all but it is an important component in terms of the bank now if we start to see the XLF once we start to see a slowing economy and we really should see that because let's face it inflation kind of slows things down the the shipping situation is really bad containers if you just can't get the goods then all of a sudden what happens to Christmas what happens to you know all these different aspects that you're looking at for the holiday season well if the XLF because you'll suddenly have a balance and the XLF sudden or for whatever reason if the XLF starts to trade under 37 or in the whole of October actually trades under 36 I suspect that's going to be because of fear and that'll create some fear in the banking area and that's where I think we might see gold move higher because gold at this particular point it needs did I just do that I did that was a mistake just went to the wrong thing there it is we're back okay good oops we're not back got it back yep there is so what we're looking at here is if the XLF actually trades into the 39 30 to 39 55 area that's probably going to be because years or so to pull back even further so we've got this we've got everything all our longs that we've held and we're making new highs just recently we expected them to pull back taking real nice gains kept core positions and all I can say is that you've got to keep your eye on a couple of things let's just go to Crudo right now and see what Crudo is breaking out is this a brand new is this old F or brand new B well the magnetic hasn't shown a single sign of turning down the stochastic's flattered 83% over 80% I like that's very good the unbalanced volume is suggesting that it's a little toppy but a little toppy just means it could pull back some so I normally do this I go I'm a little conservative in this case I'll say with the F and if it pulls back and then makes another high I'll say it's probably not a G probably going to be a G-C in the meantime there's nothing to do if one is long anything to do with the Crudo so far this is acting so beautifully now if you look at the monthly chart that break out in the Chathamway falling exformation what is that that's a lower highs a much lower lows and then it breaks out to the upside this is suggesting that there could be a one at least a one-to-one to the upside going from the well this is already fair because it's $7.51 for Crudo that's because we had that terrible April of last year action where we went actually the futures went minus but let's just say there's get it's a Harvard there's a move from 38 to the breakout level of 60 so you've got yourself 15 points 15 points from the breakout here of 65 takes you to the to the 77 area that's where we are and this is a leg D so anything above this starts to say that the left side high which is the higher in a continuous contract of October of 2018 and that was an 86 20 remember this gets smoothed out so the price gets changed the date the pattern everything else is perfect there's nothing wrong with that the moving averages but the price gets a change so that high we will go to the high the current high which is at we're at 78 38 to the high of the day but we're looking at the high of October and that was an 86 20 so I would say that left side high would actually be ace up and I at least an upside target over the coming weeks and we're going to be watching that very closely what's the support there's huge support between the 72 and 69 area if there's whatever reason it is it suddenly turns down so this is a very important moment now that does down 165 recipes down 37 are we stopped out of our long position not yet no we have we got in right of the low on my Friday so we have a little cushion but as I say we are still short the QQQ's and the QQQ right now has it taken out the left side low of Friday yes we below that we below your Friday's low we're now 353.92 this is not good when you don't have leadership and I needed to go to high grade copper high grade copper we're doing all these things because it's Monday beginning of the week we want to know what's going on I guess this is so fast and high grade copper is doing well within a trading range it's actually up to date 0.07 and 4.263 all I can say is that if copper is holding well this is an international economic icon we've always used it and it shouldn't change and if I go to oh let me just do this now I'm going to go to this I sure I forgot subscribers of opening call for God on Friday I sent it out this morning I'll do it right now this is my weekly where we go now this is my weekly chart of the three yields that's the 10 year that the 30th 10 year and 5 year as well as with the ice is the temper forest GZF as well as the Philadelphia housing index and look at this nice U turn in the 30 year the 10 year the TNX is a brown one and the 5 year FVX this is actually leg C already in the in the 5 years only a leg B in the weekly but if we go above last week's high in the yield 21.03 that's 2.103 one penny above extends leg B one penny above the 10 year which the high last week was 15.67 you got a 15.68 1.568 and that extends leg B as well let me just double check 11 to 13.85 3.86 yes I'll be back in a moment bowser chap and doubts on 210 SP's down 42 little problem here I would say I'll be back are you having fun trading the markets but having trouble finding like-minded individuals to discuss your trading and investment ideas with become an apex predator in the trading markets and join the Tiger's Den trading room only at tfnn.com the Tigers Den is an exclusive trading room where successful traders from around the world come to exchange trades and ideas join the den and surround yourself with the sharpest minds in the trading world subscribers to the Tigers Den are also the first to have their questions answered live on air and can 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become a big deal if the trend continues higher on a shorter-term basis I think we're really stuck in the trading band in the yields and that's all you need to think of that is a trading band that is right now at the Chapman Wave inside track repellent zone and if it does close any day this is a weekly chart so any day above 2.155 that's quite a breakout and then it could go all the way back in a cup formation back to the previous side at about 2.5 but wait a minute the weekly chart of wood the eyeshares of the global timber and forestry ETF had an all-time high of 98.98 back in something like May and then it pulls back sharply that's a straight line down and then it makes a little cup formation the dreaded age successful because it went under it but it closed above that says you can rally towards the previous high of the arch if you go above it that's impressive but you've got to stay above and in this case it went one week above one week below and then it came all the way back it hasn't made a lower low but today's trading up 14 cents at 80s 85.11 so keep an eye on this because if it starts to trade any day of the week below can I read that below 84 man it's at 85.11 that's going to be a big negative and it should go lower than that and if it trades up into the 90 areas at 85.11 right now that'll be very impressive now look at the Philadelphia housing index because the dreaded age it took it out on the left side it's got another two bars to go before we make a decision about it but so far if that 444.15 low of the week of the 23rd of July after making an all-time high of 538.36 back in May I think yep May the week of the 14th this is a negative not a big negative but it is a negative for the housing sector all right let's get out of this and you just say save a closed workspace don't forget to save yes to all because we want to keep saving as much as you can now question I had well first there's a number of questions let me just go backwards yeah the last question I had with Shardia as the first question was fang diamond back energy ink it is just about to make its leg D in the monthly chart above 102.53 the high today's around number 102 I suspect it'll do that then it might get a little toppy but so far there's nothing you have to say that there's a change of trend the MACD stochastic and the daily all fantastic the weekly did cross positive it's very good it's not great but it's good the prices at a recovery high but I'd like to see the stochastic not at 64% hold these stated 80% or higher so so far there's a really good price action no question about leg D in the daily let me do the FXI because this covers the questions that I had new low this is now a multi month low the last we're at 37.59 the major low was back in 2020 March where it went to 33.11 and then it's screened to 54 let's say 54.53 February of 2021 and now it's done the arch formation remember patents just repeat over and over and over arch formation with a lower lower low than last month and we've just begun August now I might have to read and renotate this this could very well could be e-slash a f-slash b and now we're looking at g-stacy in the weekly chart and look at this dreaded age pattern unsuccessful in the daily chart and a new low at 37.59 this is just real quickly because I always get asked about it Baba this is any Baba training at a low and a new monthly actually it's at a new multi-year low the low from January of 2019 of 129 83 screens up into the 300s peak D remember how many peak these have we seen how important this D is and it comes plunging down trough a trough B legs see to the downside at 138 not good at all and by do just do this quickly by do also turning down but it's holding way better than the others but it started to fill the gap and that low that was made back on the 19th 19th of August at 135.49 went to a peak D in the daily just at 100 just under 170 and now it's down at 145 this is not good action not good action at all so let's go to I wanted to show you the dollar the dollar was pulling back is pulling back again 93 74 down point 31 had a really good move to a peak E in the daily leg E because we have to wait all week before we see if it's taking out the 9450 high and so far it's 93 73 it's this is a pretty it has pretty severe pullback when it keeps making higher highs and higher lows let's put that together with your EUR USD we're looking at that rally commensurate rally so this will have in the chapway falling exclamation lower highs and much lower lows that is suggesting to me that at 1.16 1.16 30 up point 0 0 3 7 this is acting a nice balance is really a balance because I think the dollar but basically is still very strong so it needs to break above the 1.16 5 area to test the 1.16 8 9 period moving average but that's not the issue the issue is this downtrend line the chapway falling exclamation with a chapel wave inside track repellent zone you want to see within a week from today a week from today is the following week if there is a push above 1.71 you'll see a commensurate slide in the dollar that's going to be important USD JPY which usually goes in the same direction this is dollar not the same price action or percentage is down a tad at one at down a 13 at 110.94 this is a single a but I treated as if it's an E slash B it went to a higher high than that high that was made way back in July July of this year the week of the second we went to 111.65 it went much higher than that on Thursday it went to 1.1 so 112.07 and now it's pulling back but the trend is the weekly chart is good because it broke above and now it's back into the rectangle but look at the monthly chart monthly charge got a peak C a leg C and the technicals are really good and it says suggest to me that the yen is holding pretty well and should move higher now I need to do this did that did that did that did that did that oh dollar DE do w this is the Dow Jones German it's not like the DAX index the chart looks exactly the same price is different because this is the Dow Jones Germany stock index so it has a different price level it's trading in 444 and it's gone underneath the 200 period exponential moving average never a good sign and yes the other thing the GB do w this is great group made a pp in the monthly chart and it's in the sideways range it's holding okay but thanks thanks that's gonna be a big I'll be back in a moment dozen are you in the market for buying or selling real estate in the Bay Area including the surrounding St. Petersburg Tampa and Clearwater markets Tiger real estate LLC is a firm that has extensive experience in the Tampa Bay area whether you're looking to sell your current property for maximum value or you're in the market for a second home or investment property Tiger realty has the experience across all areas of real estate in the Tampa Bay area to help buyers and sellers make the most informed decisions across all price levels from the price you 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funds is subject to risk including the possible loss of principle the funds are designed to be utilized only by sophisticated investors such as traders and active investors distributor four-side fund services LLC don't forget you can listen to tfnn live on your mobile device 24 hours per day go to tfnn.com then hit watch tiger TV that's tfnn.com then hit watch tiger TV Oh folks we're back don't forget today that every comes on 11 so this is a there's a change in says just a scheduling the same players different different time slots and it's a gold is not up 10 I might be a little delayed this is the action you want to see when the market suddenly starts to pull back and you begin to see a particular area that becomes favored you want durability you want sustainability so the fact that it was weak and it went down to 1747 on the continuous contract and now it's 20 points higher than that says watch gold and you know it's funny not the gold stocks are lagging very badly there are they are prepared to move up if that I move down but I'm really looking at gold and if you're looking at the GDX you can see that yes there's a nice move it's up 31 cents at 29.64 is this the start of a bigger move I'm quite prepared I would like very much to go into you know we're we're choosing sectors that we think are weak or strong and that's that's the way we're playing it right now and we've got a lot of cash for subscribers from opening call we've been building up cash position for quite some time more importantly we want to have some trades as well as some position plays for this particular shaky period there's no question about it remember I talked about the dark news cloud cover let me just put this here for a second right here look dark news cloud cover we've been in that we've had our second arch formation this is the first time we've had anything quite as deep as this on the second iteration and it's lowered down this is not a good sign at all that's number one the other is I don't want to do it now we've had reversal signals all over the show so Dow is the strongest of the of the different sectors but that that'll weaken because it's got some some areas that could turn soft so I'm being very careful here so the GDX is a potential play I think your risk now is more that you get in and stalls it doesn't do anything but I'm thinking that yeah I'd like to see it in play I'd like to see the GDX trading at 30.63 Ohio within my Tuesday or Wednesday even sooner but Tuesday or Wednesday what are we trading at 2966 right now that to me would say ah now there's a chance you can start to pull some of the gaps and at least you can have a decent kind of countertrend rally as this channel or Chapman falling exformation to the downside right there and expands on the downside that's it so what that means that if you break above it if you close above 30.29 it's called a 30.30 in the next two sessions and of course this could all happen very quickly if it does that instead of closing out at 29 it actually moves up then you can get a one-to-one to the upside and you can get a move to the 3120s quite quickly so I'm saying this is maybe risk reward I think this is kind of the way I look at it right now that's what I wanted to do oh I had a question could I look at it wait the question is in video hi there's only video do we wait for dust to settle or nibble here for long-term hold I wouldn't touch this at this particular point if you think that this chip phenomenon is just oh you know it was very selective in the sense that it really impacted the kind of chips that are you know Dave White can explain beautifully I'll just do my best the chips that the the automobile companies require of the simplest the older kind so it's saying to the fabs will you build new old-fashioned fabs for the auto industry who don't need the very sophisticated chips or should they move into the 21st century get sophisticated chips and wait for the new products to come online and then change all your mechanisms the electronic mechanisms to be able to be conducive to the new upgraded chips not the old ones that's the issue so the whole thing with the automobile industry is actually a lot more serious than has been that I've seen discussed but you can look and you can see the general motors is up because it's been a being right here and do that again that's being hoisted upon a lot of people but I would say to you that this is a big spike to a leg E at 50 4.63 up a dollar 50 looking out I think yes general motors is doing the right things in many cases but I think that this gap is gonna be filled in because there's a problem you you try to get a car and you have to pay full price and then they say to you they give you a great trade-in but they they're slapping on they say these are the only cars around and they're gonna load the cars with as much as they can so this is a big issue going forward look at a and which is the a and as the what a nation Inc went to a peak D it's pulling back now there's this hold or just there's this start to slide it's gonna tell us a lot what a nation I don't want to get involved in this right now I do want to go to another queso Nvidia SMH is in the semiconductor area estimators are making a new low that is off to Friday's low 249 35 was a low round about the 1920th of last month spirals up to a peak E at 278 276.69 all-time high plunges dreaded H pattern failure and plunges down this is serious stuff for the semiconductors the next thing I want to look at question came in can I look at if oh wait right CLF CLF is Cleveland Cliffs Cleveland Cliffs Inc flatball steel iron or pellets take over but I took over AK steel which we once had and now what we're looking at is it's really struggling of the 200-period moving average so this is just saying to me you have to put this into the category of U.S. steel down that looks the same thing at the bottom SLX which is the steel ETF looks the same just have patience it's almost like Nvidia just the wrong moment in the wrong industry just at this particular point it'll be back in favor but at this particular point have patience I think you're gonna get some fantastic buys in these things just be patient so I don't know why you're looking at different areas for instance Mars which is the mosaic company phosphate and potash new recovery actually there's no I'm not sure if it's an all-time high but a new recovery high trading at 38 put 18 up 38 cents this is nice so what why are we seeing phosphate and potash in play why are we seeing high-grade copper holding well because I think intrinsically there are other things going on in the economy that are kind of working and if you're looking at the home depots HD Home Depot peak F in the daily chart peak D in the weekly chart of this no new recovery high this is saying it's very selective right now it is extremely selective and if I go on to what was the question I had right there did that did that oh the question came in could I look at myrna which you looked at on Friday and had a huge decline from that peak D weekly chart in the dreaded age pattern yeah I'm just gonna say to you this is very selective you've got to be very selective I don't see any reason why holding cash cheated as a position holding cash is a position a legitimate position that says I don't see anything I want to buy right now I prefer to be in a cash position because after the drubbing that's so many of these really fantastic companies has they've taken there will be fabulous buys I'd rather be buying strength the catcher falling life was beefy golfing the dead used to say you want to buy a falling catch a falling life I'll send you the metal drugs go back in a moment goes down 340 years sharpening your skills as an investor is like getting better at playing a musical instrument you have to practice sure but you also need excellent instruction from experts at TFNN you'll get advice and guidance from the authority and technical market analysis and it's not just dry tedious text either TFNN airs live financial content streamed live on TFNN dot com and TFNN's YouTube channel with Tiger TV live every market day from 8 30 a.m. to 4 p.m. Eastern for free each host is an experienced trader and gives their take on the market while taking calls and questions live from around the world from the moment the market opens until the closing bell sounds Tiger TV has eight different shows with expert hosts to help you make the right moves with your money watch online at TFNN dot com or on TFNN's YouTube channel and become the investor you were born to be TFNN educating investors markets can rise and fall like the tides subscribe to Basil Chapman's newsletter the opening call and you too can ride the wave Basil Chapman is an authority in technical analysis his Chapman wave trading system has been helping traders identify trends and capitalize on momentum in the markets since 1984 TFNN invites you to test Basil's 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Petersburg, Florida the investment is for four years paying 7% per year or $7,000 per a $100,000 invested your investment is secured by high-value real estate in st. Petersburg, Florida your investment can be anywhere from 100,000 to 500,000 you want to make 1000 per year on 100,000 dollars invested or 7000 per year on a secured Tiger first mortgage the Tiger first mortgage program may be just the program for you the Tiger first mortgage program pays 7% per year paid monthly for more information you can call<PHONE_NUMBER> that's<PHONE_NUMBER> this segment is brought to you by think or swim for more information just click the think or swim banner on the front page of TFNN.com things came in just yet so the question how come the DB agricultural fund is moving so nicely but thank you for it yeah so we are long subscribed we've been long from 30.77 we've just taken a tad off at 14.93 straight right that 19.45 this is the DB agricultural fund so it's testing the upside highs 19.50 they made it by two cents a new recovery high so look at this wheat that's wheat is trading in leg B to the upside very nice move but wait a minute soybeans down at the lows not good at all they're looking at corn as we say here just about to make a leg D in the day but not great but it's also sugar SB which is going sideways it's really wheat that's wheat that is doing the whole thing here corn complain the DBA I think would pull back a little bit in fact is holding really nicely that's good another question came in oh the VIX index yeah the VIX index this is a big clue if the VIX index trading right now 24.58 all day holds strongly and you see the Dow and the S&P are trading in the last hour towards their lows watch that VIX because if it suddenly spirals into the 24.80s rather than suddenly pulls back and sees a bounce in the market but it goes to the 24.68 to 24.78 area what was the high on Friday the high isn't that funny that the high on Friday was so high 24.89 what if it goes to 24.93 at any point today has just going to suggest that this this market can't take a breather to the upside and that's the reason why we're raising the raising the cash we just that you've got to have some cash around for those like the Nvidia like the buys that you want to get and that semiconductor index making new lows again from Friday's low I don't like it so see you due to a very conservative coming up be very careful out there I think if you take your buys coming along just hook up a nice cash decision see you due to Larry and then you've got to think a strong think we've got Steve, but they have a tough check out more people on the day 27. See you tomorrow have a great day


Russian soldier makes unsuccessful attempt to throw out grenade dropped from Ukrainian drone. Russian soldiers tried in vain to throw out a grenade from the dugout which was dropped by a Ukrainian drone operator. A recording posted on social media shows that the grenade hit the edge of the enemy's entrance and fell back into the dugout. The unmanned devices have become a crucial piece of military tech for both Kiev and Moscow in the war, used extensively to scope out enemy positions, drop explosives and crash into targets. Drones are also used extensively for reconnaissance to spot enemy movements or positions. Another drone can be sent to attack the target or the intelligence can be used for artillery and tank fire or advances by infantry unit. Troops on the frontline have become increasingly dependent on and fearful of their potential. Drones are the eyes of our troops. The prevalence of drone warfare has triggered an arms race between Moscow and Kiev. Ukrainian officials say they need between 100,000 and 120,000 drones a month.


Hello everyone and welcome back to Dallas where we're live from supercomputing. My name is Savannah Peterson, joined with my co-host David and we have a rocket of a show for you this afternoon. The doctors are in the house and we are joined by NASA ladies and gentlemen. So excited, please welcome Dr. Dan Duffy and Dr. Bill Putnam. Thank you so much for being here guys. I know this is kind of last minute. How's it to be on the show floor? What's it like being NASA here? Oh, it's exciting. We haven't been here for three years so this is actually really exciting to come back and see everybody to see the show on the floor, see the innovations that have happened over the last three years. It's pretty exciting. Yeah, it's great. And so because your jobs are so cool and I don't want to even remotely give even too little of the picture or not do it justice, could you give the audience a little bit of background on what you do as I think you have one of the coolest jobs ever? You too, Bill. I appreciate that. I run a high performance computing center at NASA Goddard for science. It's high performance information technology. So we do everything from networking to security to high performance computing to data sciences, artificial intelligence and machine learning is huge for us now. Large amounts of data, big data sets, but we also do scientific visualizations and then cloud and commercial cloud computing as well as on-premises cloud computing. And quite frankly we support a lot of what Bill and his team does. Bill, why don't you tell us what your team does? So I'm an earth scientist. I work as the associate chief at the global modeling and assimilation office. And our job is to really maximize the use of all the observations that NASA takes from space and build that into a coherent, consistent physical system of the earth, right? And we're focused on utilizing the HPC that Dan and the folks at the NCCS provide to us to the best of our abilities to integrate those observations. You know, on time scales from hours, days to seasonal, to monthly time scales. That's the essence of our focus at the GMEO. Casual, modeling all of NASA's earth data. That in itself as a sentence is pretty wild. I imagine you're dealing with a ton of data. Oh, massive amounts of data, yes. I mean, as much as one probably could now that I'm thinking about it. I mean, and especially with how far things have to travel. Bill, sticking with you just to open us up. What technology here excites you the most about the future? And that will make your job easier. Let's put it that way. To me, it's the accelerator technologies, right? So the limiting factor for us as scientists is how fast we can get an answer. And if we can get our answer faster through accelerated technologies, with the support of the NCCS and the computing centers, but also the software engineers enabling that for us, then we can do more, right? And push the questions even further. You know, so once we've gotten fast enough to do what we want to do, there's always something next that we want to look for, so. I mean, at NASA, you have to exercise such patience. Whether that be data coming back, images from a rover doesn't matter what it is. Sometimes there's a lot of time, days, hours, years, depending on the situation. I really admire that. What about you, Dan? What's got you really excited about the future here? So Bill talked about the accelerator technology, which is absolutely true and is needed to get us not only to the point where we have the computer resources to do the simulations that Bill wants to do and also do it in an energy efficient way, but it's really the software frameworks that go around that and the software frameworks, the technology, the dealing with how to use those in an energy efficient and most efficient way is extremely important. And that's some of the, you know, that's what I'm really here to try to understand better about is how can I support these scientists with not just the hardware, but the software frameworks by which they can be successful? Yeah, we've had a lot of kind of philosophical discussion about this, the difference between the quantitative increases in power in computing that we're seeing versus the question of whether or not we need truly qualitative changes moving forward. Where do you see the limits of, you know, if you're looking at the ability to gather more data and process more data more quickly, what you can do with that data changes when you're getting updates every second versus every month seems pretty obvious. Is there a, is there, but is there, is there a near term target that you have specifically where once you reach that target, if you weren't thinking ahead of that target, you'd kind of be going, okay, well, we solved that problem. We're getting the data in so fast that you can ask me, what is the temperature in this area? And you can go, oh, well, an hour ago, the data said this. Beyond that, do you need a qualitative change in our ability to process information and tease insight out of chaos? Or do you just need more quantity to be able to get to the point where you can do things like predict weather six months in advance? What are your thoughts on that? Yeah, it's an interesting question, right? And you ended it with predicting weather six months in advance and actually I was thinking the other way, right? I was thinking going to finer and finer scales and shorter time scales when you talk about having data more frequently, right? So one of the things that I'm excited about as a modeler is going to higher resolution and representing smaller scale processes. At NASA, we're interested in observations that are global, so our models are global. And we'd like to push those to as finer resolution as possible to do things like severe storm predictions and so forth. So the faster we can get the data, the more data we can have in that area would improve our ability to do that as well. And your background is in meteorology, right? Yes, I'm a meteorologist here. Excellent, okay, yeah, yeah. So I have to ask a question and I'm sure all the audience cares about this. And I went through this when I was talking about the GOES satellites as well. What is it about weather that makes it so hard to predict? Oh, it's the classic chaos problem, the butterfly effect problem. And it's just true. You always hear the story of a butterfly in Africa flaps its wings and the weather changes in New York City. And computers are an excellent example of that, right? So we have a model of the Earth, we can run it two times in a row and get the exact same answer, but if we flip a bit somewhere, then the answer changes 10 days later, significantly. So it's a really interesting problem. So do you have any issue with the fact that your colleague believes that butterflies are responsible for weather? No, I don't. Is it responsible for climate change? Does that bother you at all? No, it doesn't. As a matter of fact, they actually run those butterfly-like experiments within the systems where they do actually flip some bits and see what the uncertainties are that happen out seven, eight, nine days out in advance to understand exactly what he's saying, to understand the uncertainties, but also the sensitivity with respect to the observations that they're taking. Yeah, it's fascinating. It is. That is fascinating. I'm sticking with you for a second, Dan. So you're at the Center for Climate Simulation. Is that the center that's going to help us navigate what happens over the next decade? Okay, so no one center is going to help us navigate what's going to happen over the next decade or the next 50 or 100 years, right? It's going to be everybody together. And I think NASA's role in that is really to pioneer the models that Bill and others are doing to understand what's going to happen in not just the seasonal, the sub-seasonal, but we also work with GISS, which is the Goddard Institute for Space Studies, which does the decadal and the century-long studies. Our job is to really help that research and understand what's happening with the client, but then feed that back into what observations we need to make next in order to better understand and better quantify the risks that we have, to better quantify the mitigations that we can make to understand how and effect how the climate is going to go for the future. So that's really what we're trying to do. We're trying to do that research to understand the climate, understand what mitigations we can have, but also feedback into what observations we can make for the future. Yeah, and what's the partnership ecosystem around that? You mentioned that it's going to take all of us. I assume you work with a lot of partners, probably both of you. Yeah, I mean, obviously the federal agencies work huge amounts together. NASA and NOAA are huge partnerships, USGS, huge partnerships, DOE. We've talked to DOE several times this week already. So there's huge partnerships that go across the federal agency. We work also with the Europeans as much as we can, given the sort of the barriers of the countries and the financials, but we do collaborate as much as we can with it. And the nice thing about NASA, I would say, is all the observations that we take are public. They're paid for by the public. They're public. Everybody can tell them. Anybody can tell them. They're around the world. So that's also, and they're global measurements, as Bill said. They're not just regional. Do you have, do you have specific, when you think about improving your ability to gain insights from data that's being gathered? Do you set out specific milestones that you're looking for? Like, I hope by June of next year, we will have achieved a place where we are able to accomplish X. Do you put, so what milestones do we have here? So, yeah, I mean, are you sort of kept track of that way? Do you think of things like that, like very specific things, or is it just so fluid that, as long as you're making progress towards the future, you feel okay? No, I would say we absolutely have milestones that we like to keep in track, especially from the modeling side of things, right? So, whether it's observations that exist now that we want to use in our system, milestones to getting those observations integrated in, but also thinking even further ahead to the observations that we don't have yet. So we can use the models that we have today to simulate those kind of observations that we might want in the future that can help us do things that we can do right now. So those missions are aided by the work that we do at the GMEO and the NCCS. Okay, so if we extrapolate really to the what if future is really trying to understand the entire Earth system as best as we can. So all the observations coming in, like you said, in near real time, feeding that into an Earth system model and to be able to predict short-term, mid-term, or even long-term predictions with some degree of certainty. And that may be things like climate change or it may be even more important, shorter-term effects of severe weather, which is very important. And so we are trying to work towards that high-resolution, immediate-impact model that we can really share with the world and share those results as best we can. Yeah, I have a quick follow-up on that. I bet we both did. So if you think about AI and ML, artificial intelligence and machine learning, something that people talk about a lot, there's the concept of teaching a machine to go look for things, call it machine learning. A lot of it's machine teaching. We're saying, you know, hit the rack on this side with a stick or the other side with a stick to get it to kind of go back and forth. Do you think that humans will be able to guide these systems moving forward enough to tease out the insights that we want? Or do you think we're going to have to rely on what people think of as artificial intelligence to be able to go in with this massive amount of information with an almost infinite amount of variables and have the AI figure out that, you know what? It was the butterfly. It really was the butterfly. We all did models with it, but you understand the nuance that I'm saying? It's like, we think we know what all the variables are and that it's chaotic because there are so many variables and there's so much data, but maybe there's something we're not taking into account. I'm sure that's absolutely the case. And I'll start and let Bill jump in here. There's a lot of nuances with AIML. And so the real approach to get to where we want to be with this earth system model approach is a combination of both AIML train models as best as we can and as unbiased way as we can. And there's a big conversation we have around that, but also with a physics or physical based model as well. Those two combined with the humans or the experts in the loop, we're not just going to ask the artificial intelligence to predict anything and everything. The experts need to be in the loop to guide the training and as best as we can, as we can in an unbiased, equitable way, but also interpret the results and not just give over to the AI, but that's the combination of that earth system model that we really want to see the futures, combination of AIML with physics based. But there's an obvious place for AI and ML in the modeling world. And that is in the parametrizations of the estimations that we have to do in our systems, right? So when we think about the earth system and modeling the earth system, there are many things like the equations of motions and thermodynamics that have fixed equations that we know how to solve on a computer, but there's a lot of things that happen physically in the atmosphere that we don't have equations for and we have to estimate them and machine learning through the use of high resolution models or observations and training the models to understand and represent that. That's the place where it's really useful for us. There's so many factors. But we have to make sure that we have the physics in that machine learning in those training sets. So physics-informed training isn't very important. So we're not just going to go and let a model go off and do whatever it wants. It has to be constrained within physical constraints that the experts know. Yeah, and with the wild amount of variables that affect our earth, quite frankly. Yeah, which is, geez, which is insane. My God, so what technology or what advancement needs to happen for your jobs to get easier faster for our ability to predict to be even more successful than it is currently? You know, I think for me, the vision that I have for the future is that at some point, you know, all data is centrally located, it's centrally shared. We have our applications are then services that sit around all that data. I don't have to sit as a user and worry about, oh, is this all this data in place before I run my application? It's already there, it's already ready for me. My service is prepared, and I just launch it out on that service. But that coupled with the performance that I need to get the result that I want in time. And I don't know when that's going to happen. At some point it might. You know, I don't know. It's hurting for you. But that's... So there are a lot of technologies that we can talk about. What I'd like to mention is open science. So NASA is really trying to make a push and transformation towards open science. 2023 is going to be the year of open science for NASA. And what does that mean? That means a lot of what Bill just said is that we have equity and fairness and accessibility. And you can find the data. It's findability, it's fair data, you know, FAR, findability, accessibility, reproducibility, and I forget what the I stands for. But these are tools and things that we need to, as a computing centers, and including all the HBC centers here, as well as the scientists need to support to be as transparent as possible with the data sets and the research that we're doing. And that's where I think is going to be the best thing is if we can get this data out there that anybody can use in an equitable way and as transparent as possible, that's going to eliminate, in my opinion, the bias over time because mistakes will be found and mistakes will be corrected over time. I love that. Yeah, the open source science ended this. Now it's great and the more people that have access, people I find in the academic world, especially people don't know what's going on in the private sector in vice versa and so I love that you just brought that up. Closing question for you because I suspect there might be some members of our audience who maybe have fantasized about working at NASA. You've both been working there for over a decade. Is it as cool as we all think it is on the outside? I mean, it's definitely pretty cool. You don't have to be modest about it. I mean, just being at Goddard and being at the center where they build the James Webb telescope and you can go to that clean room and see it. It's just fascinating. So it's really an amazing opportunity. So NASA Goddard as a center has information technologists, it has engineers, it has scientists, it has support team members. We have built more things, more instruments that have flown in the space than any other place in the world. The James Webb, we were part of that, part of a huge group of people that worked on James Webb and James Webb came through and was assembled in our clean room. It's one of the biggest clean rooms in the world. And we all took opportunities to go over and take selfies with this. As they put those mirrors on them, it was awesome. It was amazing. And to see what the James Webb has done in such a short amount of time, the successes that they've gone through is just incredible. Now, I'm not a part of the James Webb team, but to be at the same center, to listen to scientists like Bill talk about their work, to listen to scientists that talk about James Webb, that's what's inspiring and we get that all the time. And to have the opportunity to work with the astronauts that service the Hubble telescope. These things are just- You're literally giving me goosebumps right now. I'm sitting over here just- Just an amazing opportunity. Well, Dan, Bill, thank you both so much for being on the show. I know it was a bit last minute, but I can guarantee we all got a lot out of it. David and I both, I know I speak for us and the whole CUBE audience, so thank you. We'll have you anytime you want to come talk science on the CUBE. Thank you all for tuning in to our super computing footage here live in Dallas. My name is Savannah Peterson. I feel cooler having sat next to these two gentlemen for the last 15 minutes and I hope you did too. We'll see you again soon.