So, YouTube analytics has been telling me that my audience is only about 6% teenagers, but when I posted a poll it was 6 times higher at 37%. Hmm, what's going on here Susan? What are you hiding from me? Gently tap the like button in order to uncover the truth. With all joking aside, this video is going to be about the best part-time jobs and the highest paying part-time jobs that you can get as a teenager. So people watching this that are in high school or college, this video is going to be for you.  There is something to be said for having at least one truly sucky job in your lifetime just because of the fact that you're going to know what a crappy job is really like and so all the jobs you have in the future are going to be much better. However, if you want to skip the line, there are a few part-time jobs out there that are S tier. These are part-time jobs that you can do as a teenager that are awesome and you should get one as fast as you can. Now a few of the jobs that I talk about here are going to be ones that I've mentioned before and the reason for that is because they're ones that I've done myself. I have experience with some of these and I've done them myself and I know for a fact that they work. Some of the other ones on the list are ones that I've mentioned before and they're ones that my friends have done and then there's some on the list that I've never mentioned on this channel at all and one of them in particular I was shocked that I never mentioned it, I can't believe that I forgot. But anyways, number 10 on the list is going to be animal walking and animal sitting. So the first one is going to be either walking dogs or other types of animals or taking care of them while their owners are out of town. So you like being around animals anyways like most people around the world so you might as well get paid to hang out with them. Why don't you get a job? Now there's a lot of apps and websites out there that you can do this on like wag, rover or care.com. Generally speaking, these are going to pay around $12 to $16 an hour. You're going to walk a dog and hang out for it for around 30 minutes to an hour and then you get paid for it. You can do this on your break, before work, on your lunch break. It really doesn't take all that long. You also get to exercise and spend time outside which is good for your mental and physical health. Studies have shown that exercising as well as spending time with animals is going to reduce stress which can lead to better health. You get to do all these things that most people choose to do in their free time but you can actually get paid for them.  It's not just dogs, it's not just cats. There's all kinds of different animals that you can take care of on this website. A lot of the time when people go out of town they're going to need you to go into their house and feed their animals while they're gone. Sometimes they'll even have you take the animal into your house and take care of them while the person is on vacation which usually is going to pay a little bit better. Number nine on the list is going to be golf caddy. Now golf caddies, a lot of the time will earn $100 to $200 per day and sometimes that doesn't even include tips.  Some caddies like Jordan Spieth's caddy make millions of dollars a year. Of course if you want to get paid really well as a caddy it helps to know more about golf. You have to actually be a golfer yourself. The reason for this is because you can give them tips on which golf club to use, what techniques to use, what angle they should take in order to get the ball in the hole. You're confusing me. Just let me put the ball in the hole. You're also going to get a good workout doing this. You're going to get to spend a lot of time outside. There's also really good networking opportunities. A lot of the people that are going to be golfing are going to be successful. Now you can find work as a caddy by visiting your local golf courses and if you do a really good job they probably won't go full Ellen on you. Now depending on where you live this is a seasonal job and generally speaking you're going to get most of your work in the spring and the summer. Number eight on the list is one that I'm very familiar with. I've done this one a lot and that is going to be tutoring. Now I've tutored on a bunch of different types of subjects but the one that really stands out in my mind is back in college I took this test called the PCAT which is the Pharmacy College Admissions Test. I studied really hard for the test. I did a ton of research figuring out what resources were best in order to get the best score on it and I ended up getting a really good score and so a lot of people wanted to know how I got that score. I started telling my friends how I got it and basically I gave them tips on which stuff to study and what stuff to buy. Then people that I didn't even know started asking my friends for my number and trying to get a hold of me and so I started charging them for my information and for my time. Now I've gone over this before on the channel but long story short I was making over a hundred dollars an hour basically just tutoring people how to study for the test and what kind of research resources that they should use in order to study for it. This wasn't something that I was doing all the time I was probably maybe getting like a few hours a week at most but still a hundred dollars an hour for a college student that is amazing. Wow! Now when it comes to tutoring you need to figure out what subjects are going to be able to pay the most. It's also really good if you've taken maybe a national test for instance like let's say you're a nurse and you've taken a nursing exam you can go and tutor people how to pass that nursing exam. I spent a ton of time doing the research on what resources were best for the PCAT and then I spent hundreds of hours studying for it and figuring out what stuff I actually need to know. It was a win-win situation because I was able to save them all that time and all that research and they paid me for my expertise. So the best thing you can do here is let's say you scored really well on the ACT or the SAT or some kind of random exam that not that many people have to take. You want to find people that are about to take that exam and then offer yourself as an expert to them and eventually you'll build up enough people enough people will know about you that you won't even have to go out people will just try to approach you. This is what happened to me in college and it was awesome it was a great experience I had a ton of fun doing it. Number seven on the list is another one that I did back when I was a teenager and I had a truck and that is going to be moving slash hauling. This is an absolutely amazing side hustle that you can do right when you get your license when you're 16. So whenever someone moves to a new place or they get a new couch or they need to get a new washer or anything like that they need to move whatever that large object is from point A to point B. Now local moving companies are going to charge around $25 per hour per mover and a lot of the time they have a minimum fee. So at the very least they're probably going to charge you a few hundred dollars even if you only have to move a few things. This goes back to basic economics and economies of scale if you own a moving business you probably don't have time to go take care of the little jobs. Because of this there is a huge need there for people that just have a truck and they're willing to move maybe a couch or a washer or something like that they're not necessarily trying to move the entire apartment. So this is where you come in if you have a truck yourself which I highly recommend getting a truck especially when you're young it's super, super useful. You can buy an old truck for a few thousand dollars and if you want to really take it to the next level you can get yourself a trailer as well. Then you can go on Craigslist, Facebook Marketplace, et cetera and you just post an ad say hey I have a truck this is how much I charge and people will text you or email you. Now again this is going to be pretty sporadic here and there not going to be something you could do as a full-time job but I remember when I was doing this and I was making pretty good money from it I was making somewhere between 50 and 80 dollars an hour. I know a friend that would make even more than that because he had a trailer I just had a small truck. Number six on the list is going to be baby sitting and nannying. So this is one that I've never done before myself but it can surprisingly be pretty profitable and depending on the kids that you're working with it can also be pretty easy as well. Good evening I am nanny McPhee. Basically just an evening of watching TV and sometimes even eating free food. Now yes I get it that's not always the case some kids are very difficult and they're basically just little nightmares to deal with you probably don't want to be a nanny for those kids or if you are you want to get paid really well for it. Some parents will pay by the hour and some will pay you for an entire evening. So you might be able to make a hundred bucks to go out on a date night for a few hours. Now again I can't speak too much about this one because I haven't really done it myself but one downside to this is it's not really something that's going to teach you a lot of skills that you might be able to use in the future. I mean I guess you could argue that it might teach you how to deal with children which might make you a better parent in the future but in terms of actually having a job and making money from that most of the time it's not going to help you. However I have had friends that tell me they charge $15 an hour some of them charge by the night and you know it's relatively easy work as long as the kids aren't little rascals you basically just go there, watch TV for the night some of them even study while the kids are sleeping until the parents get home. Number five on the list is going to be trade work such as construction or roofing. Now this is one I can definitely speak to I did it a lot when I was younger and out of all the jobs on this list I think it was my second favorite. There's something really oddly satisfying about doing physical labor with your hands. It's just really awesome. It's kind of hard to explain it you might not know what I'm talking about unless you've actually done it yourself. There was one summer where I did some construction demolition and landscaping work in North Carolina. It was the middle of the summer it was like 100 degrees every day it was 90% humidity outside it was absolutely miserable. On top of that I was working somewhere between 10 and 14 hours every single day but it was super weird because I would go to bed every single night just smiling like I was so happy after doing that physical labor all day long. I'd wake up the next morning I'd be ready to do it all over again. It's hard to explain you kind of just have to try it to see what I'm talking about but there's something really weird about trade careers where you just work with your hands and you're doing physical labor there's something really weird about it where it's just oddly satisfying. It doesn't hurt that you're also getting a workout and so you're going to be in really good shape. Now I made pretty decent money from this I'd usually make between 10 and 20 dollars an hour. I had a friend who was more into some of the higher paying stuff he'd been doing it for a lot longer so he'd do stuff like roofing and all kinds of other stuff that pays better and he was making over 20 dollars an hour as a teenager. Number four on the list this is another one that I've done a ton in my life. I've done it both on the internet as well as in real life and that is going to be flipping slash flipping items online. So this can be an amazing side hustle if you have the cash to buy stuff and then sell it. You do have to have a little bit of cash flow of course because you're going to have to buy stuff and then sell it as well as having a laptop. So basically you're going to be buying stuff. You might go to auctions you might go to swap meets all kinds of different places maybe you'll go to garage sales or if someone has an estate sale where they're maybe someone passed away and they're just selling all the stuff at their house. There's all kinds of different places that you can go in order to get stuff and then you just basically go and you swap it you sell it online. Now if you're going to do it locally I recommend using something like Facebook Marketplace or Craigslist I've gone over this in another video I was much more extensive in that video but basically you want to make sure that they always come to a place that's near you. So if you're going to be doing this all the time you don't want to be driving like all the way across town I've had some really bad experiences doing that where I drive all the way across town we already agreed on a price and then they decided to just out of nowhere you know say oh I didn't realize this had a scratch on it you know I can only pay half now and then I'm just like hey I wasted like 40 minutes of my time I wasted money on gas etc I wasted a bunch of my time and so sometimes you will actually end up taking their deal and that's exactly what they wanted you to do so I always recommend having people come to you have them come to a place near you maybe meet at a gas station that's like a block away from your house the only time I would go to them is if it's a really really good deal you want to have an estimated price and then you can negotiate it down a little bit once you get there but for the most part if you're not a total asshole you're not going to go down all that much you can also sell items online and there's so many different ways that you can do this back in the day I used to use eBay another really good one you can use is offer up one example of a really successful just out-of-the-box item that I saw someone make a ton of money from was where they would take different keyboards with really popular laptops or really popular computers and then they'd sell the individual keys so let's say you accidentally dropped a hammer on your laptop and the H key is all messed up you know it's shattered and it's not there anymore you'd probably go on eBay and you would search for MacBook Pro H key but a lot of the time these laptops are broken or something along those lines and so they just part them out a lot of the time you can buy an entire keyboard on a broken laptop for like 20, 30 bucks and then you sell each individual key for somewhere between 8 and 10 dollars now I don't know if this is something that works anymore this was back in the day maybe a ton of people are doing this now but I'm just trying to kind of give you this as an example so you can get the creative juices flowing and think of something along those lines other items that I had a lot of success with were going to be iPhones computers, laptops, bikes game consoles really random one which was perfume video games people do this with cars all the time too they'll buy an old broken down car and then they'll basically just take all the parts out and sell the parts individually a lot of the time if it's a broken down old car they can part it out and sell it for 3 to 5 times more than it's worth a big thing here is you want to avoid any items that are in a really competitive niche so if you see a bunch of really big companies that are doing it like they're making iPhone cases for instance I would totally avoid that because there's just no way that you can compete with those bigger companies think business smarts think economics stick with stuff where it's not profitable enough for the big companies to mass manufacture it number 3 on the list is one I've never mentioned before on this channel but it's actually really really good and that is becoming a waiter or a waitress this one is excellent especially if it's a job for a high school student or a college student now depending on the place that you work at you can make really good money from tips we're talking like 30 plus dollars an hour sometimes this is also a great one because it's going to teach you how to communicate and talk with all kinds of different types of people it'll teach you how to provide really good service you're going to run into all kinds of different types of people like I said some people will treat you great some people will treat you worse than Ellen DeGeneres treats her staff I honestly think that everyone should have at least one customer service type of job in their life this will give you a realistic perspective on the types of people that are in the world that you're going to have to deal with your entire life most people out there are great they're awesome people but you're going to have to deal with people who just want to torment you when you work in customer service so basically this will just teach you how to be a better person I'll leave it at that hopefully you see these people that want to torment people and you don't become one of them in the future now some waiter jobs will pay much better than others so again as always it's worth it for you to do your research maybe when you're going to a restaurant just very politely ask the waiter or the waitress if you can just ask them a few questions about the restaurant and then you know ask them what you would expect to make if you were a waiter or a waitress there you need to be very respectful about how you ask this because it's kind of weird to just go up to someone and ask them hey how much do you make but you know if they're cool about it and you ask it in a nice way and you're respectful of their time I'm sure they'd be more than happy to assist you now another great thing about this one is you're going to get most of your hours during the evening hours and the weekend when it comes to restaurants and this is perfect for a college student because you're probably going to be busy during the day taking classes and then you're going to have time off in the evenings as well as the weekends many friends that have done this have told me that they can make hundreds of dollars a night just on tips alone number two on the list is going to be a sales person this one is without a doubt my favorite job on the entire list that I did as a part-time job when I was younger I started by assisting one of my dad's friends who owned a business and his sales I'd basically just come along with him and watch him sell and then eventually he invited me to try to sell it myself I didn't get paid for it at first but it was super fun and then after a while I actually asked him if I could do it and get paid to do it sales is one of the most important skills that you could ever learn and it will benefit you no matter what you do in your entire life on top of that you're going to have a great opportunity to make good money even at a young age now generally speaking there's going to be three different types of sales jobs that you can have access to at a young age the first one is going to be kind of like a mall sales job so you might be one of those people who work at a kiosk inside of a mall I've done this before I've worked on kiosk inside of malls at different grocery stores all kinds of different places and without a doubt this is one of the funnest jobs that you can do now this is coming from someone who is an introvert this type of job might be very scary to you if you're an introvert but I'm telling you it will help you come out of your shell now you probably know what I'm talking about here I probably don't need to tell you but there might be a kiosk that's selling you facial creams or maybe they're offering to shine your shoes there's all kinds of different types of sales jobs within malls at these kiosks now when you're trying to get a job at one of these places you want to go for ones where people are actually talking to the people that are passing them by you don't want to get a job at one of those kiosks where they're just sitting there waiting for someone to come up that really doesn't teach you very much in the way of sales skills you're more of just a cashier at that point so you're going to want to get a sales job where you're actually approaching people and talking to people that are walking by now I know a lot of people get annoyed by this but I'm telling you it's going to help you improve your social skills your communication skills it's just going to help you so much the rest of your life and if none of that convinces you to do it to my audience which is mostly young males yes this will help you in the future to talk to girls so if nothing else do it for that you'll get so many girls' numbers that you'll make Ghislaine Maxwell jealous the second type of job that you can do as a teenager that's a sales job is going to be more of a door-to-door sales type of job so this is probably the toughest one that you can do on the entire list you're going to be cold knocking on people's doors in different neighborhoods I've done this one I would say it's my least favorite type of sales okay because a lot of people do not want to talk to you 99% of the time you're probably going to get rejected you'll likely get cussed out multiple times a day so this is one where you're going to have to develop thick skin honestly this one is kind of like sales on steroids so I'm going to be honest here if you don't have any sales experience whatsoever it's probably going to be tough for you to just jump right in and be good at this you have to realize that sales especially this type of sales is just purely a numbers game if you keep on trying over and over again and you just keep up a positive attitude eventually you will succeed this is one lesson that sales taught me that I've taken pretty much everywhere that I've gone in life for instance on YouTube your first 20, 30 videos might only get like 50 views but then eventually one of them is going to take off and you're going to be good to go after that the YouTube algorithm will promote your videos a lot more and so you're basically set at that point the third type of sales job that I'm going to talk about that you can do as a teenager is going to be telephone sales now this one doesn't require you to be face to face with people of course so might be a little bit better for someone who's an introvert to start out with this it's a little bit different than in person but you're still going to learn valuable communication skills and honestly a lot of sales jobs out there right now are telephone sales and especially if you're not in a big metropolitan area that has a lot of malls and that sort of thing this one might be the best one in terms of you having access to it at a young age studies have shown that the number one skill that extremely successful people we're talking about billionaires people who have made like a hundred million dollars the number one job that almost all of them had was a sales job so this is definitely worth your time and even if you don't want to be a millionaire or a billionaire it's going to help you out in the future one way or another now number one on the list is going to be both sales now this one is still a sales job technically but the reason I kept it separate was because of the fact that I was actually able to go from having a job to being someone who is basically self-employed as a teenager so I did start working in sales by working for someone else they taught me everything I'm super grateful for them for teaching all those skills to me now eventually we moved away from this person and I still wanted to do the sales job but unfortunately I couldn't really help them out as much and so I started selling stuff on my own so I would go to flea markets swap meets malls all kinds of different shows boat shows health shows just anything that you can think of that has a ton of people going there sometimes I would go to fairs for instance and I would set up a booth and I would start selling so one example of something I sold that I had a lot of success with was eye glass cleaner and this was basically a type of eye glass cleaner that would make it to where your glasses don't fog up in the wintertime and they don't condensate or you know get muggy in the summer so what I would do is I would see people at the fair wherever I was at and I would look for people who are wearing glasses and then I would hold my hand out to them and I would say hi sir can I clean your glasses for you now a lot of the time they would be like no thank you I'm good but a good amount of the time they'd be like sure I'll let you clean my glasses for me I haven't cleaned these in weeks so what I would do is I would start cleaning their glasses and I would start pitching to them I would tell them all about why this is such a special product and blah blah blah blah blah and then I had a vaporizer that was on the table that would be shooting out steam I would clean one side of their glasses and I would leave the other one unclean and then I would put it over the vaporizer and I would show them that the side that I just cleaned doesn't get fogged up and the other side does if they didn't buy I would just leave them unclean just kidding of course I would always clean the other side of the glasses even if they didn't buy but then I would tell them all about the product I would pitch the product to them I would also sell a cleaning cloth as well along with it this was a killer product I would have huge days selling this this is one of those products that doesn't really sell all that well on its own I mean we are in a pandemic right now where we all have to wear masks and so a lot of people are probably buying this product right now so this might be a good one for you to do but it's one of those products where it has to be demonstrated in order to show people how it works so if it's just on a shelf and it says anti-fog eye glass cleaner no one is going to want to buy it however when you demonstrate it when you show people what it does and these are people who all the time probably have issues with their glasses fogging up people tend to want to buy it even if they don't buy it themselves a lot of the time they will end up buying it for someone else now depending on the show depending on what kind of promotion I was doing very generally speaking because sometimes I would sell them in bundles for instance I would buy them for a couple bucks and then I'd sell them for around $10 each now sometimes I'd go to a show it would be really slow so I'd go around to other booths and I'd talk to salesman and I'd ask them like hey what are your hot products which products are selling really well I would think about it and if it was a product that made sense to sell along with the eye glass cleaner I would look it up online and sometimes I would start selling those products as well so for instance one example of a product that did really well back in the day probably won't sell very well now but it was basically a credit card knife okay so it looked like a credit card you could put it in your wallet very easily but when you folded it up it would turn into a little knife it was a little knife you could use to cut apples or you know whatever you need to do with it very very useful I would buy them off of Alibaba for pretty much nothing I'd buy hundreds of them at a time for like 25 cents each and then I'd sell them $7 for one knife or $10 for two so that's just an example of a few products that I would sell but basically I had really really good days doing this I would have like $880 days and then I'd have you know $1000 weekends this is something that is pretty good for a college student as well because generally speaking these events would only happen on the weekends or sometimes they would happen like later at night when everybody's off go ahead gently tap the like button hit the subscribe button ring the notification bell and comment down below any thoughts, comments, criticisms etc and don't forget to check out my other videos right here I made them just for you


Hello, everyone. I'm James Milan. Welcome to this annual AIFF ritual, which we really enjoy here at ACMI. I am going to be speaking with Elena Mathis, who is this year's winner, the 2021 winner of the AIFFs. That being, of course, the Arlington International Film Festival, AIFF's poster contest. And as you can see, Elena is joining me in the studio. So first of all, really happy to have you here. Hi. Really, thanks for coming and also thanks for your work. We are going to be referring to your work more specifically in another few minutes after we talk for a little bit. And we'll actually bring the poster itself out because you can see more of what you've put into it that way. So, but that's in a couple of minutes. Let me first ask you, you know, obviously you're being recognized and honored in this sense for your art.  I mean, honestly, forever, you know, since I can remember, which I feel like is the typical artist kind of story. And yeah, definitely like, you know, like as a little kid, I love to draw on stuff. Is that how it started drawing? Yeah, you know, just sort of like learning how to draw one thing and then drawing it over and over and over again. And all that kind of on your own? Or did you also like, were you taking art classes in different media as a little, you know, as a young student?  When I was a really young kid, I switched schools a lot.  Right. You couldn't find a mentor, for instance, if you're constantly shifting schools. Yeah, you and I were talking a little bit before we went on camera about the fact that, you know, I was sharing with you also that I also grew up as, you know, as a child and a teenager going to a lot of different schools, moving around to different places. It's pretty disorienting. And a lot of the times you've got to, you know, if you can find things that help you to navigate those transitions, you know, it's a great thing. For me, a lot of time it was sports, which helped me to get into a new community well. I know that you moved from Baltimore, where you'd been living for a long time, right? At about the age of 14 up here to the Boston area, to the western suburbs and to Subur, I think, right? Yep. So that couldn't have been easy. Again, as a 14-year-old, it's tough to move into a new school. It's tough to move into a, you know, a kind of rural environment for suburban Boston. Any effect on your art or any way that art had an influence or an impact, you know, on that whole transition? Well, I mean, definitely, it was definitely important for me at that time. Basically, when we moved, we came in sort of halfway through the school year and didn't start me until the next year. So I had sort of a chunk of a couple months where I didn't, you know... You didn't know anybody, you didn't have any schedule? I couldn't, you know, couldn't really go anywhere.  I wasn't very happy, but I did a lot of art. Right. Well, that, again, is not an entirely unfamiliar thing, right?  Well, let me ask you, actually, about perhaps not being happy but yet doing art. You, like everybody that I know who's been in college in the last couple of years, you know, you've paid a price, as we all have for the pandemic, but college students have missed, in a lot of ways, fundamental parts of what should be the college experience because of this. I'm wondering, for a school, and you go to Mass College of Art and Design, so at a place like Mass Art where you have a bunch of creative people working in different media, et cetera, and I assume a lot of projects for your classes that are individual creative projects. How, you know, as well as you could identify it, how has it been, basically, for the last couple of years for you? Well, I mean, it definitely was kind of difficult switching to remote. I mean, it sort of happened, like, exactly halfway through a year, and, you know, I had to go back to Sudbury and, like, set up a studio to do oil painting. I was in an oil painting class at the time, and I mean, I've always been good at getting my work done and, like, you know, being able to set up and keep working, sort of, no matter where I am. But it was definitely tough. I definitely missed out on sort of some of the community aspects but you get at Mass Art, like, there's an illustration sort of floor in one of the buildings that, you know, you can sign up to get a desk at, and I was going to do that for this year.  Yes, I'm a junior. Or maybe you're a rising senior at this point. Yeah, true. And so, like, and it's, honestly, and it's, like, it's a really, I don't know, it's a really big community thing, having a desk on. In the illustration floor. Yeah. And I never got to do that. Chance that you can in your senior year? Hopefully. I think it's all going to pretty much open back up. Right, right. No, I bet it's going to be possible. I just hope, I just, you know, assume that it's part, you can fit into your schedule or you can, you know, you'll be first in line, one assumes as a senior. So, so hopefully, again, you don't get to have that experience for as long as you'd like, but you'll have it, which is, you know, I hope that that works out well. I want to actually just shift our focus to why we're here, actually. Your, your winning design is, as I mentioned before, right here behind us. I didn't know if you wanted to say anything about it at this point, or we are going to take a short break and bring in the actual poster. How would you like to do that? I don't know. I mean, I'll tell you what, let's take a break. We can take a break. Let's take a break and bring in the poster and you can really, because people will see the three dimensionality of what it is that you've produced, which is clearly not the case with our monitor here. So, we will be right back and we will be delving more closely into Elena's work here. Hello, we are back with Elena Mathis, the this year's winner of the AIFF poster contest, and we are going to be delving into much more of the detail in the work and the vision that Elena shows. But as you can see, this is an actual, this is the physical copy, and I'm going to show you one of the things that's different, and that is, it is, there is a three dimensionality to what Elena has produced here. So, let me ask you first, Elena, how, my understanding, you're a mass art college student. I imagine this first came to your attention as a project for a class perhaps? Yeah, Bob Maloney, my teacher for this class, he, the class is called Experimental Illustration Techniques, where he teaches a lot of 3D and like collage type stuff.  Okay, so does that mean that it's not a lot, you haven't done a lot of work, you know, with 3D kind of dimensionality to it in the past? I mean it's always been something that I'm interested in. I did this kind of thing a lot in high school, but I sort of had forgotten about it getting into college, which is why like when I saw that class, you know, I was like, oh, perfect, you know, now that I have more skill, let me try and do 3D stuff again. So take us through the elements and including just like whatever guidance you did, get, you know, whatever things you knew you had to include or not, and just talk us through the process of how you, you know, got from first thinking about it to this. Yeah, well, so basically the assignment that this was, you know, everyone in the class made one of these and submitted it, and sort of the parameters for the assignment was just it had to be 18 by 24, and it had to work as a film festival poster. We did not have to include any lettering, but that was pretty much it. Just it had to sort of work. Right, it had to work right. You're not going to, just not going to be pictures of swimming pools and things like that.   So, you know, usually, you know, in this case and in general, I start to try to think about like, what would I be excited to make that would still work for this assignment? You know, one of the things that I am struck by, because as I was mentioning to you earlier, I have had the privilege of speaking to creators of winning posters for a number of years and certainly I've seen all of the posters for the 11-year history of the festival so far. And, you know, as I mentioned before, they don't look, others haven't looked like this before, so I love that as a fact itself.  Yeah, well, that's, you know, yeah, that's part of it, I'd say. Like, definitely, yeah, I definitely like making characters.  So talk to us a little bit about this funny little bird. Do you have a little name for him or anything? No, I mean, the sort of thought process for this being the sort of character was sort of, I had heard that there tend to be documentaries at the film festival, and I was thinking about, like, oh, what kinds of documentaries have I seen that I really enjoyed, and I kept thinking about, like, nature documentaries. Some of the best ones, for sure.  Right, exactly. It just makes you giggle. Yeah, exactly.  Right, he's actually saying, look at me. Yeah, exactly. This is not an introvert bird it doesn't look like to me. Very good. So, like, did even arriving at this kind of sense that you would be placing that, well, first of all, so was bird the idea that you had for a character, was it going to be a bird, like, right from the get-go? Yeah, I mean, I definitely, I think another idea I had was that I thought was really cute as well, that it was going to be like someone in like a monster costume, like stomping around. But definitely, like, I think I needed a central character. One of the things that, to me, works really well also is that obviously you figured out how to make the shape of the bird conform very well with a great way to depict Arlington International Film Festival, to put those letters on there in a splay so that it works very well with the bird's feathers. You were saying you didn't have to put any text on here. Was that a later addition once you realized, oh, look at that lovely kind of circular space right in the middle of things. I can put Arlington International Film Festival there, or was that baked in right from the beginning? I mean, definitely in that particular idea it was in there from the beginning, because yeah, it's sort of like once I had the idea of having a central character, that's a lot of real estate. So, you know, definitely those were in my sketches of this guy from the beginning. That's great.  Well, I mean, I was pretty surprised. I mean, I'm really happy to have won. I feel like looking at everybody's work, everyone did a really good job. Honestly, even looking at some of the previous posters and looking at other people's stuff, I went through and I was like, oh man, that one, that one's got a good shot. I've got some competition. So, I was really surprised. And I've never won anything like this before, so I'm really happy about it as well. Yes, congratulations really. That's wonderful. And I guess the very last thing I want to ask you is folks are not going to be able to... Well, this is the poster. So, it's going to be replicated as a poster and it's going to be, you know, it's going to have strong, strong local presence. It will be all up and down Mass Ave as it always is each year. But the Arlington International Film Festival's kind of logo for a year is a global phenomenon now. So, two parts to my last question. One is, do you feel like it will translate okay to that two-dimensionality of the poster and that the personality of your central character here will come through with that? And then, secondly, how does that feel to think that something that you've produced is actually going to have global reach? Well, I think it does translate pretty well into 2D. It is a little harder to tell that it is 3D, but definitely... I took the picture that's going to be the print and I tried to make sure there was a little shadow. If you look close enough, you can tell. And, you know, I think it works pretty well. And also, I mean, this is kind of the... Yeah, yeah. This is kind of... It's kind of my biggest accomplishment up until this point. You know, just in terms of, like, trying to be a professional artist. Yeah. Well, I mean, it might... It could open doors for you in the future. I hope it does because it's not a small distinction. You did very well. And again, the personality is so striking and so engaging. So, you did very, very... You know, if that was part of what you set out to do, mission accomplished in that way. Really good. All right. Well, anything else that you think that people should know or understand about the poster or this piece of art, which is not quite a poster? Well, hmm. It doesn't have to be. I mean, maybe there's not.  So, I don't know. It's just that being, like, the first thing that sort of professionally worked out for me is sort of a door open, I guess. And it's really... Yeah, I don't know. It's really encouraging. Like, the kind of thing that really grabs me and gets me excited and also is what people want to see. Right. And that is what validation is all about. So, enjoy it. Enjoy it. As I have enjoyed my conversation with Elena Mathis, the winner of this year's AIFF poster contest. You will find the poster, as I mentioned, all around town and just a reminder that it will be a virtual film festival again this year and coming in November we'll have more information for you as we get closer to it, of course. But we are proud here at ACMI to kind of have the latest iteration of our long-standing relationship with the Arlington International Film Festival. And I'm James Milan for Elena Mathis. Again, well done. We appreciate you being here and we'll see you next time.


I know it's been a long day and I know people are tired.  But yeah, so if you're here for the next 25 minutes, you're probably going to learn something really, really cool. How many of you here on a day-to-day job do data analysts or AI work or build models like I do?  Are you anywhere related to data science or things of that sort? Not really. But yeah, so if you are just paying some attention here, you would probably learn a couple of cool things here. Number one, I'm not going to cover what exactly AI is, what AI can choose from, because that's a huge topic. And 20 minutes is something I cannot cover that part. But again, rush is the state of our system programming language, which has been adopted in the industry at a very fast pace. I'm here to give you an essence of what's like to build machine learning models in the system programming language. It gives you a lot of control. As a data scientist, sometimes I go back home and think that I really didn't do great work. I just called a library, gave it some parameters, and did something, and went back home. I do understand what the library is doing, but I really don't know what's happening inside. So that kind of makes me feel a bit bad about it. So that's when I went back and started looking into how can I build models for myself? How can I write everything from scratch? And then I also wanted good control and wanted to make sure that I'm just not building another Python package, which probably I'm the only person who's going to use. So that's where I started exploring other languages and just happened to me. So I'll talk about all of this. Before one thing, I'm very passionate about this topic, because A is something that I do for my living, and rush is my other thing that I do for fun, probably speaking about rush and stuff like that. And that's how it got me into this program. It's called the Mozilla Tech Speakers Program. So people who don't know about it, it's a pretty cool thing. So what they basically do is they take in some really enthusiastic community volunteers and train them to be developer advocates, to go out and develop a facing conferences like these, to talk about Mozilla Firefox and Web in general. So that's pretty much about my affiliation. So I forgot to even introduce myself. My name is Vigneshwar. I live in Bangalore. I work for a research department in a big data firm. We work with a lot of Fortune 500 companies and in my day job, I basically build AI pipelines and there's things related to AI pipelines for all these problems. So yeah, that's pretty much about myself. So let's get started. So for starters, I wanted to give you a picture about what does AI look like? What do people claim as AI? So for me, we will reach AI or we will start, I'll start to say AI exists when AI starts to understand love or something of that sort. Things that matter to humans. Like we can understand certain things but AI just sees everything as numbers and but it's possible, my friends. So that's again, a very good possibility and realities that AI is capable of doing it. Our machine learning models and techniques that we have in place right now are totally capable of doing this. So first thing is the eyes part of AI. We want our models or our predictive models to see like human eyes. And there's something called Turing test. I'm not sure if you have heard about it. So that basically says that if you give two results, one generated by a human and one generated by a machine to another human. And if he's not able to differentiate between the difference, that means you have actually these something really, really cool. That's basically AI for you. And to talk about computer vision, yes, we have these there and techniques like convolution neural net. That's what broke the barrier and made sure our numbers went really high, especially in accuracy and stuff like that. We are now pretty much capable of detecting all kinds of objects. Those kind of problems basically fall in the bucket of object classification and tracking. So the moment you see something, you identify what it is and start to track it. Our human eyes are super cool at doing that. But to do that in the machines is pretty complex stuff. So convolution neural nets basically are neural networks that basically conduits, as the name says, across your image to generate some computations that help you to classify different images. But things can stop over there because in an image, if you have a set of objects, you want to basically classify them. So that's where RCNN came into place. And algorithms like selective search and multiple hypothesis theorem help you to achieve those kind of trafficking algorithms. What are the use cases? You would find a lot of use cases in surveillance like for safety purpose and things like that. Apart from this, there are a lot of business use cases that will blow your mind off, which you can just catch me later after this talk. I can talk all about that. So next up is stat boards. We want to start reading and understanding humans. I say a statement that skies are in the clouds. My mission doesn't understand it. I want my mission to basically say that the moment I start saying these skies are, it should associate it with clouds. Are we able to do that? Yes, we are able to do that as well. So algorithms like neural networks, LSTMs and stuff like that help you to do it. So what it basically does is like it's kind of getting you the attentions and the mappings better. I'm just gonna leave it over there because getting into details is super interesting but we don't have the time for that. Again, what are the use cases? You would see a lot of these big, big B2C clients using them because whenever you have customers and you want to support them, chat boards are a really, really cool thing to use. Going ahead, predictive maintenance. This is something that all the industry are looking forward to, why? Because it saves money. I want to make sure that my cars is good, my fridge is working fine and things like that. So here we do a lot of time series analysis where you have data coming in at a regular interval. You want to basically find an anomaly. If that any part of a mission that's not working really good, I want to detect that. So IoT space has a lot of use cases. And a lot of, again, amazing techniques mostly into regression, Kalman filtering. Again, there's a huge set of algorithms here. Again, I'm just gonna leave you with some names so that you can go back home and think about them. Again, complex games. When I showed this slide to my friend for the first time, he was like, hey, this is nothing to do with AI. But the reality is that we are trying to simulate everything in games because games are virtual environment where we can let our AI free and start to observe patterns. So in recent days, you have seen organizations cracking Dota, organizations cracking Go. These are amazing stuff. If you just go back and think about the complexity in those games, it's even difficult for humans to crack it. Algorithms like Markov addition process, a dynamic program which falls in the class of reinforcement learning are able to do this. Again, the applications are self-driving cars. Another cool stuff. And then they're trading engines that help you to make more money. And there's a whole lot of series of optimization problems that you can solve using these set of algorithms. Next is voice search. So automatic speech recognition, trying to find what's being spoken. Algorithms like, in a feature-engined part of it would be sectograms where you do fast Fourier trams. So convert your data into in the frequency domain and then you run your CDC algorithms. So again, end of the day, there's better mapping and things like that. Again, the applications are huge. The moment I'm talking, you can live caption it because right now even in conferences, I've spoken to a couple of conferences and for people who are supporting people who can't see or things like that, content captioning is a very cool thing which is available in YouTube. And all these hands-free interfaces and things like that help a lot. So what's Mozilla's role into this? Mozilla are doing something really cool. They are building a speech recognition engine which follows the deep speech paper by Baidu. That's something that everyone does. Like if you go out there, you'll find TensorFlow implementation on it just by Googling the name. But what they are doing differently is that they made the data openly available. This is something that researchers like you and me lack. We don't have the data. Only big companies have those because they have infrastructure to collect those data. Like if I'm an independent researcher, it's very difficult for me to get the data and build a class model that can go to production. So that's where I feel Mozilla is doing really cool and I'm very proud about it. And the second most important point that I wanna talk, why I showed you all this application is that if you are able to combine all of this together, that's when actually you start to think about true AI. AI can solve problems, interesting things like complex games. It can see and hear like humans. It can write like humans. Are we there yet? Maybe, I don't know if some interesting companies working on these kind of problems in their research lab, but it is totally possible. We should start thinking about that. And I don't know, we have all the algorithms available with this. Maybe this will become a reality very soon. So what's like to build ML models because I just saw two of you raised your hands for the rest of the group. Let's look into some standard definitions by which we can start building machine learning models. The first part is about problem definition. So in a chat-broad problem, you basically want to find that what is the user asking and how do I serve them? So that's a good problem description for you. So it all starts with basically data collection where you have the data source lying across a different server, some different sources, like if you're mining from the web and things like that. It's just spread across everywhere. So you want to first collect that and make sure you put it in Hadoop or those kind of data warehouse systems.  EDA is called explorative data analysis where you run techniques like factor analysis and things of that sort. Basically gives you more understanding what what data is look like. Where is that any numbers that are missing and you do outlier treatment and make sure your data is really cool. And then the next part is where you create a model which is nothing but a mapping that understands your data to the problem that you're trying to solve. It could be classification type of problems. It could be regression type of problems. And then once you have that, you want to now deploy the model. You want to make money out of the model, right? So how do you do that? You probably are going to have a platform which sells these model as services. Restful API.  This is how it's been done right now. So I wanted to basically talk about an artificial neural network that's like a very simple thing. So first, this is a learning algorithm. Why was this even discovered or invented? Thing was like when you have your data very simple, right? Spread across a line or something or that. So it's very easy to build a manifold. A manifold is nothing but the line that you see in that graph. But when things become complex, when data becomes complex, like when you have speech, audio, and these kind of complex data format is very difficult to create that manifold. That's when you start building a learning algorithms like neural network. So how does a neural network look like? It's pretty simple. It's again a competition that we are doing. We take in a lot of features. We have some weights. That weights are what we're trying to learn. And a combination of all these neurons basically make your whole neural network. And to understand a bit of terminology here, the first layer is the input layer. The last one is the output layer. The output layer basically gives you the number of classes that you want if you're solving a classification problem. In the output layer, you basically say, if there are only one class, you just need one neuron as the output. If there are more than three, you'll have equal, that may number of neurons as the output layer. And going ahead, we want to know how good is our machine learning model or our neural network model. So that's where cost function comes into place. A cost function here is basically an cross-entropy loss. I'm not going to go into the details of that. But think that you need to understand here is basically, I need to understand how good is my machine learning model. Cost function basically helps you to do that. And the next step is the back propagation step. So back propagation basically tells me that how do I make sure to learn those weights? I need to learn the best weights to solve that particular problem, right? So that's when I have algorithms like stochastic gradient descent and stuff like that coming into place. So that's pretty much about the AI part that I want to talk about. Now let's look into how to build it. So rush system programming language, right? And what I'm going to say here is it's very, very easy to learn. So if you have heard about this company called Syrium, it's a France-based startup who have done something really cool. So they embedded their voice assistant model inside Raspberry Pi's. So it basically helps you to be really, really safe because you don't want the data to go to cloud servers and stuff like that. So Snips has basically done a lot of work over there using Rust. So they basically feel performance, portability and safety is something that Rust offers you out of the box and they are very happy about that decision. There's another app called Wire which is basically a business platform. They wrote their entire cryptographic algorithms in Rust and they got like 141 times performance in their cryptographic part. And this is very, very easy to do because Rust offers you a lot of foreign function interface that allows you to do that. If you can see the GIF over there, it's basically showing how fast the app is loading. Performance gain. If you have heard about Firefox 57 or also known as Firefox Quantum, they have done something really, really cool. So they wrote major part of their code in Rust and got again a lot of performance boosts which has increased their market share. So this is something that the community is really, really proud about, Rust. For the last three years have been voted as the most loved programming language. This is really cool for a language that just got raised in 2015. So the whole community is really, really proud about that particular part. There are a lot of these amazing companies that are using Rust at various places. I highly recommend each one of you to go and check out this page called Friends of Rust. And there's a talk by Ashley Williams who happens to be one of the Rust core members who talks about how can you convince your company to start adopting Rust. And then she talks about a lot of, just apart from being a Rust talk, it takes the talks in general about what are the different things that you need to consider when you're adopting a new language. So I highly recommend that. So why Rust? So these are my reasons. I basically come from high level languages. So most of the data centers around here use Python or other languages which are very, very easy to use. So you have a function, you have a library, you've given some parameters and things happen to you. Rust is something similar. We love that, right? We are spoiled by high level literators and things like that. Rust kind of gives that, but it gives you the same time, more control and more safety. So if you ask me to define Rust, I say that Rust gives you both part of the spectrum. It gives you safety like C++ at the same time. It is super, super productive. You know, there's these things that we really like about high level languages. The community is really great. The tool ecosystem, if you ever use cargo, you will really love it. So there are two things that you need to know about Rust. That is the concept of ownership and borrowing, which I'm gonna talk really soon about. So this is a small snippet of a JavaScript code which basically has a class circle which takes a radius and computes the area. So what basically happens in most of the high level languages, everything goes to the heap memory, which is nothing but a place where I can drop in all my values. So here I'm basically creating some heap memory and then after some time, there's some software called garbage collector which goes back and deletes everything over that. So the problem with this is that it adds in some runtime delay. Your things are gonna be a bit slower due to this. Even for referencing in high level languages is pretty simple. You have some instance, you have some variables, you just have to pass it. Things just work for you. We have been doing sorts of this sort. So let's look into how to implement the same thing in Rust. So I have some value. I'm giving it to a couple of new functions. This won't compile. So it just says that, hey, what you've already used, vehicle. You can't use this thing again. Like when I saw this for the first time, I was like, what's happening here? I just tried to reference it. It should work fine. So that's where the concept of ownership comes into place. And this is the concept that basically gives you that safety that I was talking about. So Rust basically says that the whole variable that you're trying to use is owned by a scope. The moment you transfer it to some other scope or some other function, and it does not explicitly return it back, it's gonna clear it off. So what does this give me? It does not have a garbage collector anymore, right?  And when you work with scopes, you're basically eliminating the garbage collectors from the picture. So then how do you start staring variables? And how do you do that? So that's the concept of borrowing. You just basically lend it. So you reference values by having this Amazon symbol which basically references values.  So there are two type of borrows. You could do immutable borrow and mutable borrow. If it's an immutable borrow, you can just reference the value, you can't change it. If you're digging a mutable borrow, you can go to the location and change values. But it comes with the, what do you say? A point that, you know, if you're doing immutable borrow, you can have any number of threads or any number of functions accessing them. But if you have immutable borrow, only one instance can access it, right? This gives, all this basically gives you a more safety and more control. So these are a couple of rules that I just talked about now. All variables are immutables. You can have only one mutable reference at a time and you can have as many immutable references. So what's like to build an artificial neural network using Rust? So I kind of used this package called juggernaut, but why I basically chose that is because it has a really, really cool tool. If you can look back at the screen, the background is, it should work fine. But this, you can go to this link called juggernaut.rs-demo, where you have a TensorFlow board like thing where you can give in some parameters and train stuff on the web. All of this has been written using VASM, it's called WebAssembly. So if you write Rust code, you can package things to the web really, really easy, which again is a really cool thing about Rust, but I just don't have time to talk about it. Catch me later, I can just spend a whole day explaining about it. So the first thing that we need to do is, you know, prepare a dataset. This is a very sample code that I'm just using. Things might change, you need to do the pre-processing depending on what kind of application that you're building. The second step is to, you know, create constructors for the algorithm and the type of network that you're building. The third one is where you start initializing and start giving away different parameters for your model and the last part is where you test it, how good it is. So the point here that I'm trying to convey is that if you look into the code really, really carefully, it looks really like Python. Like, you know, I get that feel of high-level languages. I really, really like because for me, C++ is a bit difficult. Like, you know, I've been coding on Python my whole life and then when I want to really adopt system programming, Rust really helped me and, you know, kind of helped me to build my machine learning models really, really fast. So what are the different value additions? So let's look into a simple code of doing dot product. I have two vectors and then I'm, they have a reference to, I am iterating to each one of them and finding the dot product. It's pretty simple, right? If you look into the diagram below, multiply these two of them and keep adding it. I want to paralyze it, you know, make sure things become faster and I want to do it safe because when you do things like parallelization, that's when things go wrong, right? Because you don't know what's happening under the hood and concurrency models are a bit difficult for me as well. Like, as a data scientist, I'm not exposed to those kind of low-level concurrency paradigms. So what I did was, I just changed one small thing. I just made from ITER to Paraiter and I use this package called Rion. And what it basically offers me out of the box is that, it gives me complete memory safety and super fast. One of the world's fastest data parallelism libraries out there. And it looks at the hardware and says how many cores are available and automatically chooses the number of threads to you know, start and do your computations. For especially people like us, like you know, when we do a lot of computation because you know, AI as such, you call these models and all these formulas and in your hardware are going to do a lot of computation. So things like this can really, really boost our overall performance. Another interesting thing that I noted, all those favorite packages that we use, like NumP, TensorFlow, if you actually go down a look under the hood, they have a lot of system programming that's been done over there. And this Keras again, Keras is something and I'm sure like a lot of people must have used, which is like written completely in Python. One reason why I really like Keras is that it's super easy to use. And I truly believe that you know, people like us from the AI community can go and learn Rust and build two packages like Keras in Rust which gives you like super, super high performance. I'm into that, I see a lot of people into that. And because as a scientist, as AI researchers, knowing system programming will really, really help us make our toolkits, make ourselves really better in building these models. So when should we use Rust? At right now, these are my reasons. If you see some computation part in your code and you want to shift it from Python, Rust is a good usage, like you want to run some optimization problems, which are very easy to implement, you should definitely go ahead and try Rust. Hardware, accessing hardware, you can access these kernel APIs very easily. The standard library of Rust allows you to do that. So variety applications and people working on GPUs, you could do that. Implementing concurrency paradigms, it really helps. So what does Rust has to offer you? Rust is a state-of-art programming language which gives you high-level iterators. If you are kind of comfortable with Python, Rust should be kind of easy to learn. It has a strong functional programming influence. And the biggest reason why I adopted Rust was that, you know, basically to improve my toolkit, I kind of felt really productive and more powerful when I went back to build my AI models because I knew that Rust gives me that control and the safety aspect that I always wanted. So thank you so much. I know this is the last talk. Thank you for sticking around and you can reach out to me at the red divignature, I can also write in Twitter and write to me at divignature.gmail.com. All my links, a couple of good reading links that I've put at this URL, go ahead and check them out. Yeah, just hit me up if you want to discuss more and I'm looking forward to some good questions. Thank you so much. Questions here? Yeah, so there's something called the Rust Book. If you haven't explored system programming before or have felt system programming difficult, I will highly recommend that book. It's because it covers everything in so detail and it's very, very easily written. So the Rust Book, just go and search it. Yeah, I'm not promoting my book even I also have written a book on Rust. So I have authored a book called Rust Book, but yeah, if you want it for free, the Rust Book is the name. The Rust Book is the name. It's very easy and it's written, it's maintained by the community itself. So you should definitely check it out. Yeah, if you had a lot of money, you could buy my book as well. And what's the easiest way to get started in terms of picking up a package for doing data science and machine learning? So right now, if you want to go back to your office and start implementing Rust and build machine learning models, I won't recommend that because it's still in this testing phase, a lot of communities still coming up with these packages. But as I mentioned before, if you see some part of your code that is taking a lot of time, you want to do some parallelization or you want to move, like how the wire app moved their entire cryptography algorithms to Rust. So that's like huge performance difference. So I highly recommend to do that for product companies. That's like a bless. But yeah, but if you want to do like CNNs and RCNs and stuff like that, Rust is not there yet, but there's a TensorFlow binding for using that. I'm not sure how good it is because I haven't used it before. But yeah, things are really, really looking really good to me and there's a lot of potential with Rushlang and the kind of AI products that we are building. Okay. Yeah, I don't want to get into the discussion, but it depends on what you're building at the end of the day. Both are great languages. I don't like to compare between languages. This is something that I really don't like to do because of the fact that there's something to learn from each one of them. Rust is easier for me because I'm from that, I'm from Mozilla community, so I caught a lot of references and stuff. And it really was a really good experience learning Rust for me. It was very fast at the same time. There's a lot of new things to learn as a data scientist. So you're saying that in your life? No, I'm not saying that. What I'm starting to say is that I've been to explore a lot, so I'm not the right person to answer it. Second point, I wouldn't compare between languages because there's definitely something to be offered by both of the languages. So yeah, but I recommend Rust in case you want to get down. At the same time, you don't want to do a lot of system programming, you don't want to get into a lot of code, use high-level iterators and stuff like that. Yeah, Rust really helps. Yeah. Thank you so much. Thank you so much for having me. Thank you, everyone.


Everlasting Flowers by D. H. Lawrence Red Four LibriVox.org by Alan Davis Drake Who do you think stands watching the snow-tops shining rosy in heaven, now that the darkness takes all but the tallest posey? Who then sees the two-winged boat down there, all alone in a sleep on the snow's last shadow, like a moth on a stone? The olive leaves, light as gadflies, have all gone dark, gone black. And now in the dark my soul to you turns back.  So there's an oxen-wagon come darkly into sight, a man with a lantern swinging a little light. What does he see, my darling? Here by the darkened lake, here in the sloping shadow the mountains make. He says not a word, but passes, staring at what he sees. What ghost of us both do you think he saw under the olive trees? All the things that are lovely, the things you never knew. I wanted to gather them one by one and bring them to you. But never now, my darling, can I gather the mountain-tips from the twilight, like half-shut lilies, to hold to your lips. And never the two-winged vessel that sleeps below on the lake can I catch like a moth between my hands, for you to take. But hush, I am not regretting, it is far more perfect now. I'll whisper the ghostly truth to the world, and tell them how I know you are here in the darkness, how you sit in the throne of my eyes, at peace, and look out of the windows in glad surprise. Everlasting Flowers by D. H. Lawrence, read for LibriVox.org by Eleanor Matheson. Who do you think stands watching the snow-top shining rosy, in heaven, now that the darkness takes all but the tallest posey? Who then sees the two-winged boat down there, all alone in a sleep on the snow's last shadow, like a moth on a stone? The olive leaves, light as gadflies, have all gone dark, gone black. And now in the dark my soul to you turns back.  So there's an oxen wagon comes darkly into sight, a man with a lantern swinging a little light. What does he see, my darling, here by the darkened lake, here in the sloping shadow the mountains make? He says not a word but passes, staring at what he sees. What ghost of us both do you think he saw, under the olive trees? All the things that are lovely, the things you never knew, I wanted to gather them one by one and bring them to you. But never now, my darling, can I gather the mountain tips from the twilight-like half-shut lilies to hold to your lips? And never the two-winged vessel that sleeps below on the lake can I catch like a moth between my hands for you to take. But hush, I am not regretting, it is far more perfect now, I'll whisper the ghostly truth to the world and tell them how. I know you here in the darkness, how you sit in the throat of my eyes, at peace and look out of the windows in glad surprise. Who do you think stands watching, the snow-tops shining rosy, in heaven, now that darkness takes all but the tallest posey? Who then sees the two-winged boat down there, all alone, and asleep on the snow-slash shadow, like a moth on a stone? The olive leaves, light as gadflies, have all gone dark, gone black. And now, in the dark, my soul to you turns back.  So there's an oxen wagon, comes darkly into sight, a man with a lantern swinging, a little light. What does he see, my darling, here by the darkened lake, here in this sloping shadow, the mountains make? He says not a word, but passes, staring at what he sees. What ghost of us both do you think he saw, under the olive trees? All the things that are lovely, the things you never knew, I wanted to gather them one by one, and bring them to you. But never now, my darling, can I gather the mountain-tips, from the twilight, like half-shut lilies, to hold to your ellipse? And never the two-winged vessel that sleeps below on the lake, can I catch like a moth between my hands, for you to take? But hush, I am not regretting, it is far more perfect now, I'll whisper the ghostly truth to the world, and tell them how, I know you here in the darkness, are you sit in the throne of my eyes, at peace, and look out of the windows in glad surprise. End of poem, this recording is in the public domain. Everlasting Flowers by D. H. Lawrence Read for LibriVox.org by Kristen Hughes Who do you think stands watching, the snow-tops shining rosy in heaven, now that the darkness takes all but the tallest posy? Who then sees the two-winged boat down there, all alone, and asleep on the snow's last shadow, like a moth on a stone? The olive leaves, light as gadflies, have all gone dark, gone black. And now in the dark, my soul to you turns back.  So there's an oxen wagon comes darkly into sight, a man with a lantern swinging a little light. What does he see, my darling, here by the darkened lake? Here in the sloping shadow the mountains make. He says not a word, but passes, staring at what he sees. What ghost of us both do you think he saw under the olive trees? All the things that are lovely, the things you never knew, I wanted to gather them one by one and bring them to you. But never now, my darling, can I gather the mountain tips from the twilight, like half-shut lilies to hold to your lips. And never the two-winged vessel that sleeps below on the lake, can I catch like a moth between my hands for you to take. But hush, I am not regretting. It is far more perfect now. I'll whisper the ghostly truth to the world and tell them how I know you here in the darkness, how you sit in the throne of my eyes at peace and look out of the windows in glad surprise. End of poem. This recording is in the public domain. Everlasting Flowers by D. H. Lawrence. Read for LibriVox.org by Leanne Howlett. Who do you think stands watching the snow-tops shining rosy in heaven now that the darkness takes all but the tallest posy? Who then sees the two-winged boat down there all alone in a sleep on the snow's last shadow like a moth on a stone? The olive leaves, light as gadflies, have all gone dark, gone black. And now in the dark my soul to you turns back.  So there's an oxen wagon comes darkly into sight, a man with a lantern swinging a little light. What does he see, my darling, here by the darkened lake, here in the sloping shadow the mountains make? He says not a word but passes, staring at what he sees. What ghost of us both do you think he saw under the olive trees? All the things that are lovely, the things you never knew, I wanted to gather them one by one and bring them to you. But never now, my darling, can I gather the mountain tips from the twilight like half-shut lilies to hold to your lips. And never the two-winged vessel that sleeps below on the lake can I catch like a moth between my hands for you to take. But hush, I am not regretting. It is far more perfect now. I'll whisper the ghostly truth to the world and tell them how I know you here in the darkness, how you sit in the throne of my eyes at peace and look out of the windows in glad surprise. End of poem. This recording is in the public domain. Everlasting Flowers by D. H. Lawrence. Read for LibriVox.org by Lisa Esch, Folly Beach, South Carolina. Who do you think stands watching the snow tops shining rosy in heaven now that the darkness takes all but the tallest posey? Who then sees the two-winged boat down there all alone and asleep on the snow's last shadow like a moth on a stone? The olive leaves light as gadflies have all gone dark, gone black, and now in the dark my soul to you turns back.  So there's an oxen wagon, comes darkly into sight, a man with a lantern swinging, a little light. What does he see, my darling? Here by the darkened lake, here in the sloping shadow the mountains make. He says not a word but passes, staring at what he sees. What ghost of us both do you think he saw under the olive trees? All the things that are lovely, the things you never knew, I wanted to gather them one by one and bring them to you. But never now, my darling, can I gather the mountain tips from the twilight like half-shut lilies to hold to your lips. And never the two-winged vessel that sleeps below on the lake can I catch like a moth between my hands for you to take. But hush, I am not regretting. It is far more perfect now. I'll whisper the ghostly truth to the world and tell them how. I know you here in the darkness, how you sit in the throne of my eyes at peace and look out of the windows in glad surprise. End of poem. This recording is in the public domain. Everlasting Flowers by D.H. Lawrence, read for LibriVox.org by Rhonda Thetterman. Who do you think stands watching the snow tops shining rosy in heaven now that the darkness takes all but the tallest posey? Who then sees the two-winged boat down there all alone and asleep on the snow's last shadow like a moth on a stone? The olive leaves light as gadflies have all gone dark, gone black. And now in the dark my soul to you turns back.  So there's an oxen wagon comes darkly into sight, a man with a lantern swinging a little light. What does he see, my darling, here by the darken lake? Here in the sloping shadow the mountains make. He says not a word but passes staring at what he sees. What ghost of us both do you think he saw under the olive trees? All the things that are lovely, the things you never knew, I wanted to gather them one by one and bring them to you. But never now, my darling, can I gather the mountain tips from the twilight like half-shut lilies to hold to your lips. And never the two-winged vessel that sleeps below on the lake can I catch like a moth between my hands for you to take. But hush, I am not regretting. It is far more perfect now. I'll whisper the ghostly truth to the world and tell them how. I know you here in the darkness, how you sit in the throne of my eyes at peace and look out the windows in glad surprise. End of poem. This recording is in the public domain. Everlasting Flowers by D. H. Lawrence. Read for LibriVox.org by Squidrashlakova, found at Frisco-squid.blogspot.com. Who do you think stands a-watching the snow-tops shining rosy in heaven, now that the darkness ticks all but the tallest posy? Who then sees the two-winged boat down there, all alone, and asleep on the snow's last shadow, like a moth on a stone? The olive leaves, light as gadflies, have all gone dark, gone black. And now in the dark my soul to you turns back. To you, my little darling. To you, out of Italy, for what is loveliness, my love, save you have it with me. So there's nox and wagon comes darkly into sight. A man with a lantern swinging a little light. What does he see, my darling, here by the darkened lake, here in the sloping shadow the mountains make? He says not a word, but passes, staring at what he sees, but ghost of us both do you think he saw, under the olive trees? All the things that are lovely, the things you never knew, I wanted to gather them one by one and bring them to you, but never now, my darling, can I gather the mountain tips from the twilight like half-shut lilies to hold to your lips? And never, the two-winged vessel that sleeps below on the lake, can I catch like a moth between my hands for you to take, but hush, I am not regretting, it is far more perfect now. I'll whisper the ghostly truth to the world and tell them how. I know you here in the darkness. How you sit in the throne of my eyes, at peace, and look out of the windows in glad surprise and of poem. This recording is in the public domain. Everlasting Flowers by D. H. Lawrence, read for LibriVox.org by Y. Z. Sterling. Who do you think stands watching the snow-tops shining rosy in heaven, now that the darkness takes all but the tallest posy? Who then sees the two-winged boat down there all alone and asleep on the snow's last shadow like a moth on a stone? To olive leaves light as gadflies have all gone dark, gone black, and now in the dark my soul to you turns back.  So there's an oxen wagon comes darkly into sight, a man with a lantern swinging a little light. What does he see, my darling, here by the darkened lake, here in the sloping shadow the mountains make? He says not a word but passes, staring at what he sees. What ghosts of us both do you think he saw under the olive trees? All the things that are lovely, the things you never knew, I wanted to gather them one by one and bring them to you. But never now, my darling, can I gather the mountain-tips from the twilight like half-shut lilies to hold your lips, and never the two-winged vessel that sleeps below on the lake can I catch like a moth between my hands for you to take. But hush, I am not regretting, it is far more perfect now. I'll whisper the ghostly truth to the world and tell them how. I know you hear in the darkness how you sit in the throne of my eyes at peace and look out of the windows in glad surprise. End of poem, this recording is in the public domain.


The South Africa anti-aprified icon Archbishop Desmond Tutu described as the country's moral compass died on Sunday at the age of 90, spacking an outpouring of tributes for the outspoken Nobel Peace Prize winner details in this report. The resonatory for this commission is opening wounds, cleansing them so that they do not fester, and saying we have dealt with our past as effectively as we could. We have not denied it. We have looked the beast in the eye. Archbishop Desmond and pillowed Tutu born in Kirkstop, Transvaal on 7 October 1931 in South Africa was a strong voice against apathy in South Africa. In the transition to democracy, Tutu was an influential figure promoting the concept of forgiveness and reconciliation. He was recognized as the moral conscience of South Africa as he frequently learned his voice to issues of justice and peace. After the passage of apathy banned to Education Act in 1953, Tutu resigned from teaching in protest at the diminished opportunities for black South Africans. He continued to study concentrating on theology. In 1955, he married Nomalizu Leah Shenzane. They had four children together and in 1961, he was ordained an Anglican priest. Tutu moved to England in 1962 where he studied at King's College London and gained a master's degree in theology. He also became a part-time curate in St. Albans and Goulders Green. Five years after he returned to South Africa and became increasingly involved in the anti-apathy movement. He was influenced among others by fellow Anglican bishop, Trevor Hardelster. Tutu's understanding of the Gospels and his Christian faith meant he felt compelled to take a stand and speak out against injustice. The Holy Spirit calmed the turmoil within. In 1976, there were increasing levels of protest by black South Africans against apathy, especially in Soweto. In one of his speeches, Tutu said, far too often people think of themselves as just individuals separated from one another, whereas we are connected and what we do affects the whole world. When you do well, it spreads out. It is for the whole of humanity, according to him. In his position as a leading member of the clergy, Desmond Tutu used his influence to speak family and unequivocally against apathy, often comparing it to fastest regimes. One of his favorite words in bringing people together was ubuntu, meaning I am because we are. May he so rest in peace in joining us live on the news to talk about Archbishop Desmond Tutu, his life and times and struggle against apathy, as the former head of the South African Council of Churches Reverend Frank Chikane Reverend. Our condolences, sir. Thank you very much and thank you for all the condolences from the international community, including Nigeria. Okay, Reverend, your thoughts on his passing and legacy he lives behind. What can you speak of those great legends that just passed? Well, you know, I was shocked this morning, like all of us were shocked. And I would like to express condolences to Mama Leah and the children family. But I must say that I mean, Archbishop Desmond Tutu has been a prophet amongst us. And he lived amongst us, stood for the truth, stood for justice here in South Africa and internationally. And he did it without fear, believing what he believed, that God is a God of justice. And I think in state of mourning, we should actually celebrate his life. And that's the color made here in South Africa. To say that, let's celebrate his life because he played an important role in our lives in getting rid of the apartheid system in South Africa. And took risks. I mean, he used to stand in between bulldozers and victims of the apartheid system which was forcefully removing them from their homes. He used to stand in between angry mobs who were angry about apartheid and wanted to kill people. He is the example of what God's justice is about. OK, well spoken of the late legend. So what are South Africans going to miss about him? Because when we hear him speak, he's not a selfish person. He's very, very selfless. So what are those things that South Africans will really miss about him? Well, you know, we will miss his love. We'll miss his laughter. You know, he was even at the worst moments. He would laugh. But we will miss also his solidarity with victims of society here in South Africa and internationally. I mean, he has taken on causes of justice internationally. But, you know, fortunately with modern technology, we can still listen to him. We can still listen to them, receive the messages that he sent to us. And we can repeat what he has said. And nobody can say, I have forgotten and I don't know. I know you've seen from this morning that, you know, all his history has come up in a big way. And that to me will remain a permanent witness amongst us. So he's not gone. He's with us. Oh, thank you so much, Reverend. We want to say here in Plus TV we sympathize with South Africans on this great loss. Thank you for your time. Thank you very much. God bless you. Please do subscribe to our YouTube channel and don't forget to hit the notification button so you get notified about fresh news updates.