What's up? It's Kinsey and welcome back to my channel today's video is a very impromptu video I decided I wanted to film a Sunday afternoon Slash night routine so I spend a majority of my Sundays like a church I do have a break in the afternoon and then I'm gonna show you guys what I do tonight It is currently I think like 3 p.m. I just got back from the morning services I am going to deeply my house instead of timer and just get everything done And then I'm gonna show you guys how I prep for the week what I do my beautiful clean home. It's gonna be amazing It's perfect fall Sunday afternoon. I'm very excited about it If you guys are new here be sure to subscribe follow me on Instagram. I will have it linked down below as always I'll show you guys what I'm wearing right now. So I'm currently just wearing this white long sleeve It's my princess Polly and then I wore this long pink skirt.  So I don't have it on anymore So the first thing that I'm going to do is go change into some comfortable clothes We have am services and then p.m. Services. So that's where there's a break in between Nothing this really makes a big difference, but I'm home for the break. I'll go back tonight I'm not gonna really vlog much of that I'll do like a little bit on my phone and then they come home and that is like night night time routine What that is like my night routine a lot of the time I end up going out to eat and stuff So it's really late, but this is one of those Sundays where I'm home So I thought I would just film it and share it with you guys Whoo, so I need to go change into really comfortable clothes I'm gonna set a timer for an hour, and I'm just gonna deep clean Every single room I might start my bedroom and like it's just crazy if you set timers for like 10 minutes 15 minutes Or each room you'd be shocked by how much you get done, especially when you're like really focused First things first that's very important I'm gonna take a mirror picture in my outfit post on Instagram I've been really into my Instagram lately and actually posting like very helpful things with like clothes and stuff So I'm gonna take some mirror pictures first for my feed and then I'm gonna get into this, you know Okay, so I just changed in to some comfy clothes. This tea is urban sweats art champion I'll have on my Amazon shop page and then my slippers are my favorite slippers from uh, they are the best ever I'm gonna go put a load of laundry in the washer and then get to work in my room, and it's gonna be amazing My room honestly is like not that bad, but it definitely just means to be cleaned up a little bit Just like cleaning off cleaning mirrors all that stuff. I'll probably take like seven minutes to do this All right, just clean everything This is just I like to move and that's just cleaning supplies and stuff. I'm giving a friend It feels so much better already and this only took me like six minutes Coco literally loves this bed I just don't know what you're doing girl. The bathroom is messy This will probably still take me five minutes, but I'm gonna set a timer and move on to this room So I just went through and I just kind of picked out my favorites products that I use or like reach for it The most slosh just some randoms if you guys want a whole like Instagram story Like maybe about this or like an Instagram post or anything in my top like five ten products that I use The most I'm learning on the comments down below, but we just cleaned this is gonna go in the washer This is my roommates and stuff and then this is the rest of this is cleaned Feel so much better already All right, so this is what needs to be cleaned out of these we have there's randomly all the way upset fix them up today But this stuff still needs to be hung so ignore that for the rest of this It's not like that. It's crazy messy. It just definitely needs to be cleaned a little bit a little bit of clutter It's gonna feel amazing. I think I'm gonna put on like a YouTube video or something as I do the main Room I'm gonna get myself 20 minutes for out here. Maybe 15. I'm gonna give myself 15 Currently watching Michelle reads vlog. Love her vlogs. Get a light a candle All right, so The place is looking much better here. I am people I also clean my office I need to the trash shop when I vacuumed clean up a bunch of stuff all those clothes are for a haul I'm gonna film this week Just looking at much better The kitchen is old and basically and just never looks good So I'm quickly at going to clean up probably like 20 minutes in here It's gonna take a little bit longer. So while I clean I like to watch Video, so I'm gonna pick one that longer YouTube video and then just try to clean my entire kitchen in that time All right, so I'm doing a ton of dishes right now. I just cleaned I sweat I sweat I use a Swiffer.  I need to eat some lunch Which I have some leftovers from last night. So I'm gonna make them right now All right, so I spent some leftovers pasta and a bread stick for lunch Perfect. Thank you Whoa, so I just put the nail up on it for the morning because my nails look like trash Which just means that I'm gonna force myself tonight when I get home to Edit my week in my life and just get it up. I'm not getting up. Just get at least rough job I don't know. I got to get some editing done tonight basically or else I won't have time for this nail appointment in the morning. So that's what I'm gonna do my house looks so much better It feels so much better. Just posted. Oh my gosh my phone just posted a story that I clean my entire house on this hyperlapse thing It's the hyperlapse app Which is amazing. So if you guys want This is my Instagram if you guys feel like Giving it a follow, you know, I'll feel free Okay So now I need to change out of these clothes and do like probably a little makeup refresh Which will take me like two minutes to do if that For the PM services, I normally dress like way more relaxed But I just realized that I think I have my favorite jeans are all in the wash right now So I have no idea what I'm gonna wear. I will take you guys with me Cannot even describe to you guys how much better I feel now that I took that hour to just clean and get my life together So very exciting. Okay on the bright side. I have these Levi's this stuff looks like it's it's very organized Sorry, this is a mess. I have these Levi's they need to be washed with a little bit stretched out But they're just gonna have to do it for tonight because I don't have much of a choice So for the PM services, I just decided to wear pretty much the same top I had on earlier Actually pretty much the same off, but I just put jeans on so again princess Polly princess Polly the jeans are Levi's They need to be washed so they like don't really fit well right now, which is the worst thing But that's what I get for waiting to do my laundry and then it just Air Force ones I'm gonna wear my same bag that I wore today really just cuz they don't want to change it I got this on the real real for an amazing deal. I'm a huge real real fan now, but Yeah, I really don't like these pants with it. So maybe I will change if I find other pants Okay, I lied. I ended up putting on these pants also from princess Polly But they're just so comfortable and way better for what I want to wear tonight So this is my look a lot of the time I just wear jeans and hoodies like really oversized hoodies and stuff But like I said on my laundry is currently being washed or dirty or whatever. So alright, so now I'm just going to Redo my hair and pull it back Better because it's been like this since probably 6 a.m. Which is not a good look. I always just pull my hair back It's still a little bit wet, which is just great. Um, I don't really want it to be like a perfect bun You know when you say that and like it's really just because you know you can't do a perfect bun So you're just like really hoping for the best. That's pretty much me. Here we go pulling it back It's been in a bun since I shot our bisque with this morning So it still isn't all the way dry, which I totally forgot about which is not great This bun is good enough for me. I'm just gonna kind of touch up my makeup a little bit I'm just gonna spray some more perfume All right, so I am ready to go off for the night. Basically we have service at 6 p.m I need to be there at 5 then I help pack down and stuff So I think we're gonna be there so probably like closer to 9 and then you guys will see the rest of my night routine when I get home, but I'm also gonna pick up Starbucks and stuff in the way So I'm gonna take you guys with me not much to like church, but you know everything else guys I just freaking love my room if you guys haven't seen my 24-hour room transformation video Please go check it out So I'm gonna grab my bag and then I'm gonna do a little bit of planning that I need to finish up So here I am ready to go people the thing about me is that I don't really just plan At one time I'm constantly planning and like updating my Google Calendar Planting recordings booking things and a lot of the time my things like for example today's Sunday And I know what I'm doing like Thursday of next week things are just very very planned But I'll go through like for instance right now I'm an autopay hot Pilates members So like I can't book because I haven't paid past a certain day I have to like call them to book sorry to do that this morning So I have all my Pilates classes booked for the week This is a way more mellow Google Calendar, but it's because I haven't finished putting in the stuff So like tomorrow I need to out of my nail appointment. I know that I'm editing. I know that I'm doing all this stuff This is school. I have a massage that so I have a lot of things basically that I need to put into my Google Calendar That I'm gonna do right now So I just put in anything for the week that I need left on my Google Calendar Normally this stuff is booked way far in advance I normally have all this like really marked off already, but I'm kind of trying to get better about not being so crazy planned So also I've had a friend in town for the past week. So that's really why I also just made a little to-do list of things I need to do tonight So pre-upload vlog face mask self tan laundry edit week in my life and read for 30 minutes Anything else that I've really needed to get done that was a little bit more urgent or just kind of planned out I already did earlier this morning. So I'm feeling good about this Alright, so I have my Bible and my notebook. This is just a Shinola notebook for commencement last year My program got them engraved their initials. It's just so cute.  So I'm gonna give her some of the products and I need this one's cap. All right.  The house was amazing I'm so glad I made use of my like two hour break because I feel so good now Coco you just look so cute How are you doing girl? All right? So anyways, I'm heading out the door. I'm gonna go to Starbucks I hate that Starbucks matcha is not healthy because it defeats a purpose, but I just really am craving one right now So I'm gonna grab one. I'm gonna pick up some stuff for friends too. I cannot wait I think there's an Alfred Tea room, I think opening in the valley from what I've been told I've heard rumors and when that happens And that'll be amazing because it'll be like matcha on the go There's a Starbucks rep by church and it's just so much easier and it kind of sucks I wish that they had healthy matcha if anyone has any contact with Starbucks Tell them that's literally all anyone wants these days by anyone. I mean me, but um, we're heading out Can you tell how happy I am because of this living room? Currently listening to TK's Juicy Pod with Remy and I'm in line at the Starbucks drive-thru Hi, no problem. Um, can I have three perfect bars? Do you have the chocolate chip ones? One venti vanilla sweet cream cold brew and then a venti iced matcha latte Okay, I ordered I literally have to be 15 minutes early to anything or else I feel like I'm late and I'm across the street and I don't have to be there for 15 more minutes But I still think that I'm gonna be late. This line is very long and I just don't do well I don't know why I'm like this but alright. I got my stuff. They took forever. So I'm gonna rush so I'll see you guys after It's 9 p.m. I'm getting home from church sometimes at your home way later, but tonight it's 9 p.m.  I'm going to self tan tonight So I'm eventually gonna put these on these are some soap pajamas from Tory's secret But they're already like the colors just completely ruined. I watched them with something I shouldn't have So so I have these for once I self tan, but I'm not gonna do that for a second I just want to throw on like a shirt actually wait No, I'm gonna put these on This is like a really simple little like camis that but you can't really like mess up your tan with it because it's so light So I'm gonna put these on and then I'm just gonna find a big t-shirt to wear for the time being I have Okay, so already started doing laundry.  So I'm just gonna use bio derma to take my makeup off I saw oh my gosh can't have much of use of this It's essentially just like mice other water and I saw a lot of people Recommending this so I tried it out.  This stuff smells so good It's actually an amazing like scrub to put on in the morning. Oh my gosh, especially Okay, this is like the best time to put it on you put it on before you're gonna get into a hot shower So I'll probably keep this on until I shower because it's just next level when it gets hot in the shower and Steams it makes it smell even better. It's just literally the best thing ever Basically, I just take ignore the towels. I'm doing all that laundry in the morning. Um, I just saw it before my makeup with Bio derma on a little pad So now I have this face mask on and It feels so amazing seriously. This is my all-time favorite face mask besides actually not this is my all favorite one I didn't really apply it in the prettiest way, but it is still amazing. It's seriously the best All right, so here's my look right now my current plan. It's 9 15 I'm going to edit until 10 p.m And get as much of that done as I possibly can then see where I'm at and then I might shower at 10 I have to really do things by time if you guys can't tell grabbing my laptop So I just finished editing my Monday routine. It's actually 11 12, but it's fine.  I use the st. Trope one I really do like my isle of paradise one that you guys can't really even see the moose I love that one a lot. It's a lot more natural and just lighter and this one's darker And I'm really pale so I use a darker one. This is what my bathroom looks like currently people Amazing. Oh my gosh guys. Coco's getting some computer work done. Thanks girl. She's so tired Okay, so I'm gonna put My laptop on the charger over here by my vanity. I like to just have okay Well, I have a lot of bags on there right now But I like to just have everything kind of cleaned and ready for when I wake up in the morning I'm gonna bring these over to read with um This goes over here.  That's pretty much just ready for the morning Except for my laptop, which is exporting Coco's cute little two-faced toy. She loves the toys that she face sends her She always cuddles with them and it's so cute So now it's time for my favorite part of the night Time to read. I am about I think got halfway done with the you are the girl for the job book I feel like I've shown it a lot in videos lately just because I've been vlogging and filming a ton And this has been what I've been reading But I'm really liking it so far. I'll talk about it a little bit more when I'm done with it But as always I have an Amazon shop page where you guys can just shop all of my reads and all the books that I talk about And just some of my faves are always on that page So be sure to check it out. So for the rest of the night. I'm just going to read and then go to bed Coco hi. Oh, hi Hi, how are you? She really likes cuddling lately. So that is it for my Sunday night routine I just self-tanned. I'm got a lot of stuff done. I'm ready for the week And I feel very prepared and I'm gonna read and just relax for a little bit So I hope you guys enjoyed today's video if you guys did let me know by giving it a thumbs up Comment down below and let us know let us let me know what other videos you guys want to see Love you guys so much and I'll talk to you soon. Bye


From New York City, it's theCUBE. Covering IBM Data Science for All, brought to you by IBM. Welcome back to New York here on theCUBE. Along with Dave Vellante, I'm John Walls. We're at Data Science for All, IBM's two-day event. And we'll be here all day long, wrapping up again with that panel discussion from the four to five here Eastern time. So be sure to stick around all day here on theCUBE. Joining us now is Vikram Murali, who's a program director at IBM. Vikram, thank you for joining us here on theCUBE. Good to see you. Good to see you too, thanks for having me. You bet. So among your primary responsibilities, the Data Science experience. So first off, if you would share with our viewers a little bit about that, the primary mission. And you've had two fairly significant announcements. Updates, if you will, here over the past month or so. So share some information about that too, if you would. Sure. So my team, we build the Data Science experience and our goal is for us to enable data scientists in their path to gain insights into data using data science techniques, mission learning, the latest and greatest, open source especially, and be able to do collaboration with fellow data scientists, with data engineers, business analysts. And it's all about freedom. Giving freedom to data scientists to pick the tool of their choice and program and code in the language of their choice. So that's the mission of Data Science experience when we started this. The two releases that you mentioned that we had in the last 45 days, there was one in September and then there was one on October 30th. Both these releases are very significant in the mission learning space especially. We now support Cycletearn, XGBoost, TensorFlow, libraries in Data Science experience. We have deep integration with Horton Data Platform, which is, came out of our partnership with Hortonworks, something that we announced back in the summer. And this last release of Data Science experience two days back specifically can do authentication with Secure Knox with Hadoop. So now our Hadoop customers, our Horton Data Platform customers can leverage all the goodies that we have in Data Science experience. It's more deeply integrated with our Hadoop-based environments. A lot of people ask me, okay, when IBM announces a product like Data Science experience, you know, IBM has a lot of products in its portfolio. Are they just sort of cobbling together, you know, so these old things, older products and putting a sort of skin on them or are they developing it from scratch? How can you help us understand that? That's a great question and I hear that a lot from our customers as well. Data Science experience started off as a design first methodology and what I mean by that is we are using IBM design to lead the charge here along with product and development and we are actually talking to customers, to data scientists, to data engineers, to enterprises and we are trying to find out what problems that they have in Data Science today and how we can best address them. So it's not about taking older products and just re-skinning them but Data Science experience for example, it started off as a brand new product, completely new slate with completely new code. Now, IBM has done Data Science and Mission Learning for a very long time, we have a lot of assets like SPSS Modeler and stats and decision optimization and we are reinvesting in those products and we are investing in such a way and doing product refreshments in such a way not to make the old fit with the new but in a way where it fits into the realm of collaboration, how can data scientists leverage our existing products with open source and how we can do collaboration. So it's not just re-skinning but it's building ground up. So this is really important because they say architecturally it's built from the ground up because given enough time and enough money and smart people, you can make anything work. So the reason why this is important is you mentioned for instance, TensorFlow, you know that down the road there's going to be some other tooling, some other open source project that's going to take hold of your customers and say I want that, you've got to then integrate that or you have to choose whether or not to if it's a super heavy lift, you might not be able to do it or do it in time to hit the market. If you've architected your system to be able to accommodate that future proof is the term everybody uses. So have you done that? How have you done that? I'm sure APIs are involved, but maybe you could add some color. Sure, so we are our entire, so data science experience and machine learning, it is a microservices based architecture. So we are completely dockerized and we use Kubernetes under the covers for docker container orchestration. And all these are tools that are used in the valley across different companies and also in products across IBM as well. So some of these legacy products that you mentioned, we are actually using some of these newer methodologies to rearchitect them and we are dockerizing them and the microservice architecture actually helps us address issues that we have today as well as be open to development and taking newer methodologies and frameworks into consideration that may not exist today. So the microservices architecture, for example, TensorFlow is something that you brought in. So we can just pin up a docker container just for TensorFlow and attach it to our existing data science experience and it just works. Same thing with other frameworks like XGBoost and Keras and Cycotelearn, all these are frameworks and libraries that are coming up in open source within the last, I would say, a year, two years, three years timeframe. Previously, integrating them into our product would have been a nightmare. We would have had to rearchitect our product every time something came, but now with the microservice architecture, it is very easy for us to consume those. We were just talking to Daniel Hernandez a little bit about the Hortonworks relationship at a high level. One of the things that I've, I mean I've been following Hortonworks since day one when Yahoo kind of spun them out and know those guys pretty well and they always make a big deal out of, when they do partnerships, it's deep engineering integration. And so they're very proud of that. So I want to test that a little bit. Can you share with our audience the kind of integrations that you've done, what you brought to the table, what Hortonworks brought to the table? Yes, so data science experience today can work side by side with Horton Data Platform, HDP, and that we could have actually made that work about two, three months back. But as part of our partnership that was announced back in June, we set up joint engineering teams. We have multiple touch points every day. We call it co-development and they have put resources in, we have put resources in. And today, especially with the release that came out on October 30th, data science experience can authenticate using Secure Knox that I previously mentioned and that was a direct example of our partnership with Hortonworks. So that is phase one. Phase two and phase three is going to be deeper integration. So we are planning on making data science experience an embody management pack.  And the third phase is going to be, we are going to be using Yarn for resource management. Yarn is very good at resource management and for infrastructure as a service, for data scientists, we can actually delegate that work to Yarn. So Hortonworks, they are putting resources in into Yarn, doubling down actually and they are making changes to Yarn where it will act as the resource manager, not only for the Hadoop and Spark workloads but also for data science workloads. So that is the level of deep engineering that we are engaged with Hortonworks. Yarn stands for yet another resource negotiator, there you go for... Thank you. The trivia of the day. Okay, but of course Hortonworks are big on committers, obviously a big committer to Yarn, probably wouldn't have Yarn without Hortonworks. So you mentioned that's kind of what they're bringing to the table. And you guys primarily are focused on the integration as well as some other IDM IPs? That is true as well as the Knox piece that I mentioned. We have a Knox committer, we have multiple Knox committers on our site and that helps us as well. So all the Knox is part of the HDP package. We need knowledge on our side to work with Hortonworks developers to make sure that we are contributing and making inroads into data science experience that way the integration becomes a lot more easier. And from an IBM IP perspective, so data science experience already comes with a lot of packages and libraries that are open source but IBM has worked on, IBM research has worked on a lot of these libraries. I'll give you a few examples, Brunel and Pixie Dust is something that our developers love. These are visualization libraries that were actually cooked up by IBM research and then open sourced. And these are pre-packaged into data science experience. So there is IBM IP involved and there are a lot of algorithms, mission learning algorithms that we put in there so that comes right out of the package. And you guys, the development teams are really both in the valley, is that right? Are you really distributed around the world? Yeah, so we are, the data science development team is in North America between the valley and Toronto. The Hortonworks team, they are situated about eight miles from where we are in the valley. So there's a lot of synergy, we work very closely with them and that's what we see in the product. I mean, what impact does that have? I mean, is it here today, oh yeah, we're a virtual organization, we have people all over the world, East in Europe, Brazil. How much of an impact is that to have people so physically proximate? I think it has a major impact. I mean, IBM is a global organization, so we do have teams around the world and we work very well with the invent of, you know, IP telephony and, you know, screen shares and so on, yes, we work. But it really helps being in the same time zone, especially working with a partner just eight miles or 10 miles away. We have a lot of interaction with them and that really helps. Body language.  What are they now? Before it was like, you know, first off, I want to get more data. Now they got more data. Is it figuring out what to do with it, finding it, having it available, having it accessible, making sense of it? I mean, what's the barrier right now? The barrier, I think for data scientists, the number one barrier continues to be data. There's a lot of data out there, a lot of data being generated and the data is dirty, it's not clean. So the number one problem that data scientists have is, how do I get to clean data? And how do I access data? There are so many data repositories, data lakes and data swamps out there. Data scientists, they don't want to be in the business of finding out how do I access data? They want to have instant access to data. And in- Well, if you would, when you say it's dirty, let me give you an example. So it's not structured data. So data scientists- Unstructured versus structured? Unstructured versus structured. And if you look at all the social media feeds that are being generated, the amount of data that is being generated, it's all unstructured data. So we need to clean up that data and the algorithms need structured data or data in a particular format. And data scientists don't want to spend too much time in cleaning up the data and access to data, as I mentioned. And that's where data science experience comes in. Out of the box, we have so many connectors available. It's very easy for customers to bring in their own connectors as well and you have instant access to data. And as part of our partnership with Heart and Works, you don't have to bring data into data science experience. The data is becoming so big, you want to leave it where it is, instead push analytics down to where it is. And you can do that. We can connect to RemoteSpark, we can push analytics down to RemoteSpark, all of that is possible today with data science experience. The second thing that I hear from data scientists is all the open source libraries. Every day there's a new one. It's a boon and a bane as well. And the problem with that is the open source community is very vibrant and there are a lot of data science competitions, mission learning competitions that are helping move this community forward and it's a good thing. The bad thing is data scientists like to work in silos on their laptop. How do you, from an enterprise perspective, how do you take that and how do you move it, scale it to an enterprise level? And that's where data science experience comes in because now we provide all the tools. The tools of your choice, open source art proprietary, you have it in here and you can easily collaborate, you can do all the work that you need with open source packages and libraries, bring your own and as well as collaborate with other data scientists in the enterprise. So you're talking about dirty, dirty data. I mean, with Hadoop and no schema on write, we kind of knew this problem was coming. So technology sort of got us into this problem. And can technology help us get out of it?  Yes, so if you look at the mission learning pipeline, the pipeline starts with ingesting data and then cleansing or cleaning that data and then you go into creating a model, training, picking a classifier and so on. So we have tools built into data science experience and we are working on tools that will be coming out and down a roadmap, which will help data scientists do that themselves. I mean, they don't have to be really in depth coders or developers to do that. Python is very powerful. You can do a lot of data wrangling in Python itself. So we are enabling data scientists to do that within the platform, within data science experience. If I look at the sort of demographics of the development teams, we're talking about Hortonworks and you guys collaborating, what are they like? People picked your IBM, this 100 plus year old company and what's the persona of the developers in your team? The persona, I would say, we have a very young, agile development team and by that I mean, so we've had six releases this year in data science experience just for the on-premises side of the product and the cloud side of the product, it's continuous delivery. We have releases coming out faster than we can count and it's not just re-architecting it every time but it's about adding features, giving features that our customers are asking for and not making them wait for three months, six months, one year. So our releases are becoming a lot more frequent and customers are loving it and that is in part because of the team. The team is able to evolve. We are very agile and we have an awesome team. That's all, you know, it's an amazing team. But six releases in... Yes, we had a major release in April and since then we've had about five revisions of the release where we add a lot more features to our existing releases, a lot more packages, libraries, functionality and so on. So you know what monster you're creating now, don't you? I mean, you know. I know, we are setting expectations. Because you still have two months left in 2017. We do. They're not mainframe release cycles. They're not, they're not. And that's the advantage of the microservice architecture. I mean, when you upgrade, a customer upgrades, right? They don't have to bring that entire system down to upgrade. You can target one particular part, one particular microservice, you componentize it and just upgrade that particular microservice. It's become very simple. Sure, sure. Well, some of those microservices aren't so micro. They're not, yeah. So it's a balance, it's a balance you have to keep. Making sure that you componentize it in such a way that when you're doing an upgrade, it affects just one small piece of it and you don't have to take everything down. So yeah, I agree with you. Well, it's been a busy year for you to say the least and I'm sure 2017, 2018 is not going to slow down. So continue success. Thank you. Wish you well with that. Vikram, thanks for being with us here on theCUBE. Thank you. Thanks for having me. You bet. Back with data science for all here in New York City, IBM coming up here on theCUBE, right after this. You guys are clear. Thank you. That was great.


About a month ago I Hit this like major milestone on YouTube of a million subscribers Which was like cool, and I called my friends and family and was like hey guys, this is awesome And I'm so grateful to my audience and Was trying to plan to do something with you guys to celebrate the next day I Had a stroke that Still feels so weird to say and When I like try to sit with that reality it still feels weird I'm alive, which is super cool. It did affect a Number of different parts of my body Long story short I It happened in jujitsu it was like a super freak accident That apparently I like tore vessels and arteries in my neck I'm not caused a stroke at the back of my skull So it didn't affect like one side of my body like You normally think of when you hear a stroke it affected like Balance and coordination Vision definitely clarity of like thinking Speaking I have a hard time using my hands. It's just like a Bunch of weird stuff like I'll stutter a lot Just a it's a lot of different little things and there's still a risk Until the vessels heal in a couple months that it could reoccur So I am Not allowed to do anything I'm allowed to go for short supervised walks Where I can like I mean I'm talking like five minutes and I'm done Like the world is spinning. This was a really terrifying thing to go through and I Think that that is still Setting in I actually need help. I've made videos in the past being like You know asking for help is hard and like it is right, but now I am at a place where I Can't Exist really without the help of other people And I'm working on like just embracing that and letting people take care of me and love me and like Bring me food and take me outside like a toddler I've got a lot of physical therapy and speech therapy and occupational therapy. This is hard to go through But I know I will Come out the other side. Don't wait Um Strokes are really scary And When I had it, I didn't know what was happening. The people around me had no idea So no one called an ambulance or brought me to the hospital or anything. I just went home I Thought I'm being overdramatic, you know nothing like that was a crazy awful experience And I feel all wrong But I'm I'm probably it's probably just a migraine, you know, maybe it was just a panic attack even though Didn't feel like that. I have this habit of feeling like Maybe I'm making a big deal out of nothing all of the time And so I waited and that was a bad thing I waited way longer than I should have if you think something is Happening please Love yourself enough to go to the hospital and not wait on a lighter note a big part of healing from strokes is learning new things and Like I said, like keeping your my hands got impacted and so learning to do things with my hands like helps rebuild those neural pathways So I wanted to show you guys something I made Because as I've been able to like throughout the day I got a little spot over here on the couch that I've set up where I will sit and My friend sent me things to learn to knit because I've never knit before and I've been crocheting a ton Because I never learned to follow patterns. And so I made this Check it out guys. It's like a whole It's a whole sweater or a cardigan and I made it took a very long time, but I'm very proud of it So I've been keeping myself Busy giving me my hands busy at least listening to audiobooks They don't know when I will be back to YouTube or making videos and honestly I don't know what that will look like. There's a lot of question marks about the future I'm really grateful to have survived to this. I am being very diligent To follow all of my doctor's orders to not do anything to not lift anything over like five pounds To be supervised if I'm walking like all of that. I'm very committed to this going through this recovery the best that I can and Focusing my energy on that And with that being said I'm gonna go lay down with my puppy dog Thank you so much for listening. I hope to give you more updates soon. I imagine The easiest place for me to put any kind of update is gonna be the community tab here My patreon page and my Instagram So if you want to follow along any of those That's probably where future Short-term updates will be and hey, who knows? Maybe magically my recovery will accelerate far beyond anyone's wildest dreams And I'll be able to be back in front of a camera and making Content and working soon, but we'll see Thank you again for listening. I love you guys. I'm thinking about you I'm so grateful to be here and I will see you guys in the next video whenever that is Please take care of yourselves Bye guys


Good morning. Good morning mind-exporting fans. Tom and Julie here. We are out hiking in the desert as usual and we came across this device which is something that I've never seen before. First of all there's this little thing over here. It looks like a sail. It's got a little bottle in it. But then there's this weird thing with all kinds of different materials and rocks and stuff It's a PVC cube and Julie's going to read what it says in there. It says this cube is being used to measure how different materials erode in windy and sandy environment. The research is being conducted in partnership with the U.S. U.S. Army Research Office, National Park Service, and the National Science Foundation and UCLA. Interesting. So it's to measure how different materials erode from the sun and the wind and the rain and whatever. There are some dunes over here that's where we're headed. There are several mines over there. I think they're mostly shafts though but we're gonna go find out. Beautiful silky smooth looking dunes from here. These aren't a huge set of dunes. We're in Death Valley. There are different areas of dune here but this is one of the smaller ones. We are entering the dunes. They're pretty cool. I'm going up a wall of sand. It's like an old peck of metal. You've made it. All right. My turn. We've got to get over this a little ridge and off of this dune. Starting to get softer. There's a huge head frame right over there. It looks like probably an Orban also. And this dune kind of works its way up the mountain until it kind of runs out of gas. The wind is blowing it all the way up there. Over this way there are a couple pressure tanks for water and or air. Some bent line. And over here is the massive head frame and Orban with a huge chute coming out of the mouth of the Orban. Here we are at this pretty large head frame. It's a big square with a big chute coming from the top of it where the skip would have dumped into this large Orban and the big chute down below which would have been used to load trucks. Wow. Going down this incline shaft it's very sandy. Yeah we're using our rope just because it's so sandy. I didn't know if we'd be able to get that up or not. It's not very steep. No, but it's real deep. Sand. That sand is really soft. Wow. So we've come to a level here already it looks like.  It also goes down more so we've got more. I see another level right there. We're on top of the loading dock that would have loaded the skip. I mean loaded the mine car into the skip right here and then they would have hauled it up the incline that way. So let's go see what we have on this level. Tracks go to the right although it doesn't look too bad. It looks a little clops. There's a big jumble of stuff here. Well that's for sure. Some fairly large stoves here. I don't know if somebody's had a fire in here. Kicking the mats out. Good sized stope with another little ore pass that goes down. This other pretty good sized stope though. Alright let's go down the tracks and see where they went. Obviously a talc mine. There's a cable maybe for a slusher or something. That's about 20 feet tall there. Oh there's another entrance to the surface. We're not down very far we were only went down probably 40-50 feet. Now this was this is caved in whatever this is. This must have been a bridge over the over the incline but this is caved in.  I don't understand why this would have caved in so much. I guess some big rock will careful going across there. What do you see over there? Does it keep going that way along the way? Several places where there have been fires aren't there? What's that? What is it? Oh yeah looks like the end of a cable spool of some sort. What do you see? So we've come from that way. Followed these lines they go down to another level not far below it's like 15 feet below us. So let's walk our way. We can get over there from this way too. Let's walk our way down there. It's not a real dusty talc mine is it? Like some are tracks winding around. Let's see if we can find the main incline so we know where we are. This might be a sub level too because I thought the incline should be right here and it's not and this stops right here. This turns into some reddish type material and stops. A little piece of heavy-duty ladder there. Two by four rungs. You don't see that very often. This is the little winds that we came down or rays if you like. Well this must be a sub level because I don't see the main shaft here. Or is it right up here? Maybe this is a there's a chain hanging there. That's probably the next level down there. There's a heavy-duty mount for probably a hoist. There's all kinds of cable over there and there's a heavy-duty equipment mount made out of wood. There's a big chain sitting here in an anchor in the wall. It goes down to a pit where I don't see rail down there. We can go down here and look if you want or we could go back to the main shaft. Okay that's just where I came from. There's this big hole here in this chain. It also goes behind me here a little bit. I can walk right down here. Take a quick peek while I'm here. They sure went through a lot of cable in this job. A lot of slusher cable I'm guessing. This is back filled and it looks like it ends right up there not too far about 30 feet. There's all backfill here stuff they didn't want but they didn't want to haul it out and they were done taking what they wanted so they backfilled it. Alright let's go back up to the main shaft and see what we can find. This was this little sled for a probably a slusher winch that was mount there and they could drag this around wherever they wanted to skid it around. Here's parts of my box and other stuff where they went through the cable on this job. They just shredded the cables here. All right do you want to go around and see if that's where this goes? I can come up this way. We are back to the main shaft. I have an interesting level. Okay before we go down I guess we didn't explore the other side of this little level here. There's a, it looks like a pulley shroud or a shroud for something that would be spinning. Winch maybe or something. More big stoves here. Be careful of the ground fall here. Stuff peeling off the back of this stove here. Even though I would know you sometimes can shake that stuff loose. So just walk gingerly please. So there's a little loading platform for this big stove that goes down to some track that's below us. So I think we can get that go down the main shaft and get to that level that we can see right there. It's not far down at all. Alright now we're back to the main shaft. We're going down a little bit more.  We might need it. I don't know much about this mine. If it gets too steep we'll have to go up and reposition our rope. So we're at a level here. All of a sudden that really dusty. This is where the loading platforms I was just looking at a minute ago. This is the end of this track. Here she comes. We ran out of rope. We're 165 feet down the shaft. We ran out of rope. That's all we had for today. It's not terribly steep though. Really just that first part of where we needed it because it was so sandy. So this is, there's a carbide can and another little cribbing for amount of something I think. The wind shaft keeps going or the main shaft keeps going. It gets pretty low but I do see track down there. Here's a gate, a dump gate. The skip would have been running up this, the main shaft. Looks like it goes this way a little way. So let's see what we find. Just a series of stoves again. Where there's some steep track. Look how steep that is. You don't usually see track that steep. It doesn't go anywhere just right here. Look at all the old drill holes. Here are the vent lines and the water lines, airlines, all three. There's a bench. Sammy's been smoking. And then here's the loading zone. There's a little narrow set of tracks there and a wider set. And a big carbide can. So not much on this level is there. We skipped a level, didn't we? We need to investigate the next one up above here on the way out. Do you want to try to go further down? See what happens? Okay. You gonna duck under here? Yeah. Am I gonna make it? I have to go over. Yeah, I figured. Here's a nice little blasting cap box. 100 number six aluminum blasting caps from the Atlas powder company in Wilmington, Delaware. Yep. That's a pretty good shape box. We see them occasionally. Sometimes you see tins. What does it say on the back? Dangerous. Handle carefully.  Let's set it inside this other dynamite box. Further on down the main shaft, we'll have to crawl a little better. Duck down pretty low. Maybe Julie can see in there. So I don't have to if it stops there. You see a level? Looks like it's the end of the line. Doesn't go left. All right. No more levels. So that's it for this one. We'll work our way back. Oh no, we have one more level to look at on the way up to me. Well, this ramp's a little broken. A little. I think I can use it though. I'll be right up.  This is the top of that big chute I just showed. Yeah, you gotta walk on the edge of it. Other edge, I think. I think so. If I didn't break it, I don't think you're gonna break it. So this was another loading dock. Nice big chute here. Load into the skip. Oh, so this is below that. I was wondering where this was. Yeah, we were up there a while ago. What good we found this area. We didn't have to go down the chain. Now this here is a stope. Just like before. Oh, that's it. Huh. There's the face. This must have been a brace for a slusher right here. Nothing as in what. There's some lumber up there. Have we seen it before? Yeah, that's. Yep. Did we go that way? We didn't really go this way. We weren't on this. No, we saw this, but we didn't come down here. Oh, amazing here. I wonder if it goes that way very far. Or did we go over there? No, we did. We went over there, didn't we? No, we were over there. Yeah, in the back of an instance. Yeah, I came down. We came off of this platform, right? Oh, this is the one we hadn't gone through. This is better than other. No. No, we've been on this one. Okay, from the hot talc mine, that's going to be all for this explorer of this particular mine. So we thank you guys for watching. We appreciate it. And we'll see you on our next adventure.