And, well this shouldn't be a too big problem today, but if you're sitting too close to each other, please consider wearing a mask. We already now had one outbreak in a village just today, so it's actually around here, so take care and protect yourself. Yeah, with that I will turn it over to my first speaker, and yeah, please a big round of applause to El Carto, who will talk a little bit about making neural networks secure. Thank you. Test, test, hello. All right. Can you hear me well? All right, cool. So thanks for being here, I think this session is the only session where there are only speakers in the audience, more or less. This is my first talk at an event like this, so I thought I'd start with a lightning talk. The topic of the talk is how to make neural networks better with uncertainty, and we'll find out in a minute what that is all about. So if you're not working in machine learning, and you want to learn about it, you might Google for it, and you see basically images like this, there are different kinds of machine learning, supervised and supervised reinforcement, and then you think, okay, I'll start with the first one, supervised machine learning, then you see cartoons like this, and you wonder what the heck, just fruits and hats and everything, or pictures like this, again, fruits and machines and stuff, and to make this a little bit more mathematical, what supervised machine learning is, is basically finding some mapping from data X, which is the input, to data Y, which is the output, and this is all there is to it. We have some data, we have some inputs, we have some outputs, and we know that there is some relation between them, but we don't know which it is, and this is exactly what supervised machine learning is all about, finding this relation in some way, shape or form, and we call, in this context, lowercase x and input point, which is an element of a set of points, capital X, and lowercase y is a label or target or output, and this is what we got, and this is what we have to work with, and what we do is we want to find a mathematical function, which maps from our X, from our inputs to the outputs Y, and our task is to find that function. That function takes the input X and has parameters theta that we need to find, so in mathematical terms, very loose, very floppy mathematical notation, we define what's called a loss function, which is the, which depends on the parameters of our model F, and we try to minimize that loss function in order to find the parameters that model the relation in our data best, so this is what supervised machine learning, apart from all the fruits and hats, this is what it's all about, it's very simple, and now to introduce the concept of uncertainty, we start with some one-dimensional toy data, so what you see here is a function g of x, which we usually don't know, we want to find it, but for the sake of this argument we pretend that we know, but in reality what we are giving is only the input points, the blue points, with some added noise usually, think of it as a measurement from a measurement device or something, and our task is to find that orange function that we don't know, and notice that there are some gaps in the data, so we have two gaps where we know what the data looks like, but we don't have, for example, because our measurement device broke down while taking that data, and what we want our function or our machine learning model to do is to tell us that in the regions where we don't have data, that the prediction of the model should tell us that it's very uncertain about this prediction, and we can do this without neural networks in a classical statistical way, using what's called a Gaussian process regression method, this is well-established textbook stuff, and what it gives us is the red curve, you can see it, yeah, pretty much, and this is the fitted model to the data, and you see that in the middle region where we don't have data, the true function and the model don't quite match up, and in this region, the gray area, which is our uncertainty, is pretty high, and this is what you want, and this is what normally nobody does now, or not many people do in machine learning to fit a model, but also to get some information about where the model is good and where the model is bad, where basically what we want is a model that tells us, I can give you a prediction for this particular input point, but I did not see data at that region, and for that reason, my uncertainty is high or my confidence in my prediction is low, and the good news is we can do the same thing with neural networks, which don't have that capability built in, and the most simple way to do this is instead of training one neural network to fit that model, to fit that data, we use 50 different neural networks, and we exploit the fact that neural networks are super bad at extrapolating in data regions where they did not see data before, so you see in the top plot, you see barely these gray, bushy curves, so each of them is one neural network fitted to the same data, but in between the regions, in between the data regions, the models basically do what they want, and we exploit this to get some uncertainty information, and the even better news is, instead of using 50 neural networks, we can often do quite well just with five, so this means our computational load only increases by a factor of five, which for some workloads might just be good enough. There are other methods, I won't bore you with this because of time and math, there are other methods that scale computationally much better, approximating these kinds of things, the one white well-established and fast method is called the Laplace approximation, yeah, math, which basically gives us a picture pretty similar to the one we saw before, that in the regions where we did not see data, we have a higher uncertainty, and this is what we want, so the message here is we can make neural networks give us uncertainty information, which is not a standard thing to do yet in machine learning pipelines, and finally after some boring 1D toy data, let's use some 3D data, so this is 3D data, what it is, it doesn't matter, consider it's a temperature field in this room, it's very hot, so you have regions where it's hot, regions where it's cold, and when we use a machine learning model and we use only 10% of the data to train it, which I did to make the model deliberately worse, we see that there are some differences between the ground truth and the prediction, and now we check if we can quantify these differences with uncertainty, so what we first do is we subtract the right from the left and see the difference between the ground truth and what the model predicts, and this is what we get, and now we look at our uncertainty where we hope that in regions where we have a high difference between data and model prediction, we also have a high uncertainty, and yeah, so message is we're still working on it, but so far it looks quite good, so this is very recent data from my research project where I'm working on that I obtained in the train when coming here, so it's not perfect yet, but we see that we have these four kind of blobs where the difference between the model and the data is high, and we see some of our four blobs in the uncertainty, so yeah, and with that I'm done, thanks. Yeah, thank you very much for a very interesting presentation and probably one of the most mathematical presentations that we are seeing on the camp, and well, if there are any questions now, there are microphones in the middle of the room, please step forward and ask, and of course I hope the speaker will be available for direct questions afterwards as well, so with no questions right now, I would again thank you very much for this very interesting talk, please give him a round of applause for that, and with that we're coming over to the next presentation, which will take a couple of seconds to connect, etc., and our next speaker is Martin Hamilton, who is doing a quick and dirty batch-based CO2 monitoring because COVID is airborne, it will be interesting to see what this talk is actually about, and well, with that I would open it to our speaker whenever you're ready, thank you. 50 seconds to switch from one speaker to another instead of 15 minutes as you usually have between talks, so that can happen. You might be able to see a little loading progress meter here, so hopefully, boom, we're up. Hi everyone, I'm Martin, and I'm going to talk to you about monitoring for CO2, and particularly in the context of COVID, COVID's not the only thing we might be interested in, but kind of been a little bit of a big deal recently. I've been interested in air quality monitoring for a few years now, so here's some old tweets. We've got on the left, this is the clean space tag, this is a little gadget which monitors air quality, and intriguingly, you don't plug it in anywhere, it's powered by wireless energy harvesting, so it feeds off your Wi-Fi and your GSM signals, and it uses them to charge a little tiny battery, and it can do this because it's very low power, just takes a few small readings infrequently, but just enough to kind of build up a map of what's going on around you. But this is old stuff, so let me see, that's 2018, so if you think about this, this is a few years ago. The one in the middle is the plume lab's flow, and the flow is another one of these kind of personal, not DIY, these aren't DIY, these are actual products you could buy. The plume, unfortunately, this device is now only sold corporately in batches, so you can't buy it individually. If anyone wants to club together and buy a few, hit me up afterwards and we can maybe do a shared order. The one on the right is one I personally invested in, so this is something called Learnometer, and Learnometer is designed for schools, primarily, but really any kind of place where lots of people might gather together for extended periods and close proximity. We weren't thinking about COVID, COVID was just coming, that picture is from January 2020 when Learnometer actually launched, so Learnometer was just hitting the shelves at the same time as COVID started spreading in towns and cities. The thing about Learnometer is it's going to cost you a little bit of money, it's about 500 euros, and actually it tests for a whole bunch of things because we discovered children's learning is affected by noise, light, lots of little things, air quality is one of them, but there's these other things too, and Learnometer tests for a range of different possible problems with your air quality, different pollutants, and things like that. So, okay, people mostly weren't talking about air quality until, would you say maybe January 2020? Actually, maybe a little bit later than that. I've got this graphic here, which is actually from July 2020, and this is one of many explainers that you will remember from the news media. Oh, hey, we just kind of figured out this COVID stuff, maybe it spreads through the air or something, and many of you here will know, scientists have been saying for some time, virologists have been saying for some time, hey, do you know what, there's these things called aerosols, and maybe you want to have a little think about those. So, it took a while for that message to get across, and the picture on the right there, you maybe can't see it too well in this environment, the T-shirt probably is quite legible, and the skeletons saying, I can't wait to die for the economy, and of course that was the reality for a lot of people, there's this killer disease going around, but you've got to get to work, you've got to pay your bills. As we heard from the previous speaker, if you don't do all of these things, the wheels that turn the economy seize up, and everyone starves, which is not so good. So, okay, I talked about some air quality monitoring tools which have been created as products, but what I found increasingly interesting during the COVID era is how people who realize there's a problem to solve and are inventive, which actually is an awful lot of people, can put things together that are quite astounding.  And remember, this isn't just COVID. If you think about a typical school, where lots of small children running around, COVID is not the only thing they're spreading, by any means. So, this also true in workplaces, of course. And we had the beginnings of what I think we probably mostly come to call the culture war, particularly around masks. So, the image on the right is one of many, again, pieces of scientific advice, saying, hey, do you know what? If you wear a mask, they're a little bit less likely to be infected with this stuff. If the person you're talking to wears a mask, well, do you know what, that risk goes down dramatically. So, we shouldn't have to say this, right? But, of course, there are a lot of people who, for one reason or another, would like us to think masks there for wimps or masks, there for pinko, commies, real people don't wear masks. So, we've had all this stuff going on, annoyingly around what is perhaps the most useful non-pharmaceutical intervention against COVID and other airborne diseases, which is a bit rubbish when you think about it. So, what am I really here to talk about? I tried building a few cheap and cheerful DIY CO2 monitors. Remember the Learnometer? It's like 500 euros. Could we make something which does just a little subset of what Learnometer does and does it for a lot less? So, this is taking you through what I've done. I haven't invented any of these. These are recipes that people posted online. I've got the links to them. You'll see the link at the bottom of the slide. These slides are online. So, the throbbing QR code you saw at the beginning will take you to my website where there's a link to them. You can follow all the links. You can make the recipes yourself if you want to. So, this first one, this was good fun.  A guy, I think, was in Canada, made this for his daughter so she could understand how safe she was at school. So, she would take it to school, a little cardboard box, and very quickly, everyone in her class wanted to know what the numbers on the box said. The picture on the right is me taking it shopping. But how I mainly used it. I wanted to kind of know if it's okay in the supermarket. So, what's the verdict? Well, it's a lot cheaper than the lernometer, but it's still a little bit expensive. And it's quite big and heavy. I called it a workout for your neck. If you're wearing this thing, you're gonna know about it. The sensor that we use for this, the SCD 30 from Sensoron, needs a lot of calibration. You've got to keep calibrating every time you power the thing up to be sure that the readings are reliable. And yeah, you've got to do a lot of soldering. So, when I was on this journey, I developed my soldering technique from zero. So, I ended up doing several hundred solder joints by the end of it. And this one probably most likely to be mistaken for a bomb. I was slightly worried about that, you know, being taken to one side by the security in the Superstore or whatever, you know, hey, we need to have a word. Two more. So, the one on your left is using the BBC micro bit. If you're not familiar with the micro bit, they kind of mass produced them and handed them out to kids in schools in the UK. A lot of people have built interesting things that the micro bit powers, it's just a little micro controller ultimately. This particular product is an air quality monitoring board that happened to have a CO2 monitor. I didn't really explain why CO2. And the answer is as CO2 falls to the ground and builds up in poorly ventilated areas. So, if you got a high CO2 reading, you've got problems. It's time to open some windows, open some doors, turn that fan on or just get out of here. So, the micro bit, that was an interesting solution. Another one is using the DIY Octopus, which is like a baseboard for DIY IoT projects. And again, the one on your right, the Octopus is using that SCD 30 sensor. How do we get on? Well, the micro bit, it's super cheap by comparison. This is still a lot of money for people, 50 euros, but it's a lot less than 500. It's not really bad shaped. And I was kind of hoping to get something that people really could carry around on their neck. Didn't work so well for that. Also, it's estimated CO2. This is not the real CO2. The sensor looks at a mixture of gases and says, well, the CO2 is probably about this much on the whole. So, you know, it's probably this much CO2 in this room. The Octopus with Node MCU as the micro controller. That's very nice. A little bit expensive. Lots of soldering. Get that soldering technique going.  It just gives you red amber green traffic lights. And I came to realize, this does not work so well. You want more information. You want situational awareness. When did the CO2 levels start to increase? At what point? Where was I? What was I doing? So, this is why I was super excited. This is actually just a month ago to discover this really fantastic solution, which is based on a board called the Badger 2040. So, if you saw my tweets, I said there would be badgers. This is the badger. Or that's the badger. If that's the name of the code repository on GitHub that you can get this from. Why do we like the badger? Well, it's very simple. Raspberry Pi micro controller. Very low power. Integrated eInk screen. So, this really is. And I'm wearing it now. This thing is so light and portable. You can just carry it around with you everywhere. It's got the Stemmer QT quick connectors. So, you can plug all kinds of stuff into it. And the badger itself is only like 17 euros. So, you might not want to plug an expensive CO2 sensor into it. This is the problem still. The CO2 sensors, even this newer generation you'll see here, the SCD 40, the one I'm using and there's now an SCD 41. They're a little bit expensive. So, maybe 50, 60 euros. So, we'd like this to be something that really could be mass produced so that everybody could have one. This is still a little bit expensive. But maybe if you order 10,000 of them, we could get that priced down a little bit. It's great. Like I said, it's great size, shape, weight. And crucially, because it's an eInk screen, it will run for days and days on that one battery. There is a flaw with it. You'll notice with the other ones I made them red. I said, don't recommend. This one I'd say is AMBA. This definitely works. It does the trick. With the SCD 41, you don't have a ton of calibration to do, which is good. But unfortunately, you need to unplug the battery to charge it so there isn't a handy USB connector or something you could charge it from. So, for a regular person, you can make this. This does not require soldering. You do not need electronics experience. Do not need a PhD. You can actually just go and make this. However, you've still got that annoying problem of having to unplug the battery to charge it. So, you can't have everything. But I think give it a little bit more time and that will probably be nailed. Maybe there'll be a second edition. So, that's kind of me wrapping up. But before I stop, there is one thing that I wanted to remind people about. So, in the West, we tend to look around and say, okay, things are looking a lot better for us now. There are a whole ton of people who have not had a COVID vaccination.  The countries in red on the map, our countries where 20% or less of the population has had a COVID vaccine. These people need things like this. They need the vaccines too. We've got to help them any way we can. And without wanting to sound too doomy about this, the image on the right, there's a screen scrape from advice from the UK government to health and social care providers, which is about, I'm going to say it now, it's about monkeypox. And yeah, it says much the same as the COVID guidance that they were given a couple of years ago. Okay, you want to mask up and get those FFP3 masks on if you're dealing with these people. There's a common misconception that monkeypox is only spread through sexual contact. Actually, it does spread through aerosols, but you have to be really close to the other person. So this is a real danger. It's really coming for us right now. We're better prepared than we ever have been. We do have a vaccine for monkeypox too, which is good. But we shouldn't let our guard down. We should think about the people who this could help. I'd love to talk to you some more about if anybody's interested. So come and find me afterwards. Do scan the QR code or jump on my website, martinh.net, got links to the slides, which take you to the software that I've been talking about. Thanks very much. Thank you very much for another very interesting presentation that we just got to see. And thanks for keeping our eyes open that there is not only we were just one problem named COVID, but tons of different things that are using aerosols to spread. Well, if there are any quick questions right now, there are microphones in the middle. There may be time for one question, maybe two. And otherwise, please directly contact the speaker for a short discussion if you're interested in that subject. Well, with that, I'm looking forward to my next speaker, Victor. Yeah. Hello and welcome. Welcome to the stage. And Victor is going to give a talk about the document documenting for my future self, well, for his future self, actually, his memo system since 2015. And I'm kind of anxious to learn what that is actually about. So while this may still take a couple of seconds, I will remind you again to please remember to drink enough that actually is important in here. You're losing lots and lots of water just by sitting here and then you're stepping out in the sun that I don't want to see you falling down. Then another thing as well, lightning talks are also here tomorrow and on Tuesday. So if you have a talk that you want to present, maybe a short idea or maybe some unfinished research, please check the wiki for the for the email. I was just send an email to mch lightning at gmail.com. There are still slots available tomorrow and on Tuesday. Actually currently I have no submissions. So I hope that there will be some more during the day. Yeah, how are the technical things looking? Yeah, like always, they figured it out. Yeah, maybe another side note, I already asked for participant as being an agent. So please do consider that. And also I know that the security team is looking for some people being available today in the late hours. So if you if you think that may be something for you, please go and see the security team. Yeah, that looks good. Yeah. Okay, thank you. So thanks. Stuff like this happens all the time. Messing up, making mistakes. And I tried to learn from that. So probably this event is going to be another memo. Because I've been documenting myself and for myself and for others since 2015. And I'm using a memo system for this. And it started thanks to Pete Lammertse, who is an engineer at the company I worked with. I once did something with a motor and modeling friction and using an algorithm for that. And I let him feel what I did. So I gave him the motor and the friction compensated and you felt it and said, Ah, do you use this in this algorithm? And I said, No, I don't. It's an interesting. Yes, it's really interesting. I'll send it to you tomorrow. And I thought I would just get some link to code or whatever. The funny thing is, like the evening I met him, I got this email with two Word documents describing another friction algorithm plus how he implemented plus some other things. And I was like, Whoa. So I replied like, this is amazing, you know, that you can share this with me. And he said, Yeah, it's because of my memo system. And jokingly said, So you probably also have a memo about your memo system. And he said, Yes, I do have a memo about my memo system. So he sent me that and I was I was sold. The funny part is everybody who worked with this guy now has his own memo system because they think it's so great. As I mentioned, he uses Word. I don't like Word. So I'm using something else with which I'll explain. Something else is that they're in the meantime, there are many, many programs that kind of do this for you. So like Evernote has a lot of note taking stuff. There's a set of custom for in many implementations. But I still think my way is still the best way. Although I think if you start with anything, you'll be helped greatly. So why do I think what was my purpose when I wanted to make my memos? I want my memos to be mine. So I really want to defend them. I'm a gnarly dog and they're my memos. I write them for me, maybe also for sharing, but the primary audience is me. So I don't want to give them to Evernote, write all stuff in an online program and find out when I have 10 years of invested knowledge that they said, yeah, we're going to switch to some kind of subscription model. And if you have more than 100 pages, then something something. So I want it to be mine. So what am I using now? I'm using markdown for note taking so I can insert in my notes, I can insert links images, links to other memos, which is really handy because you start reading somewhere and somewhere you find references to stuff you did before and you actually forgot you did it before. And I have a folder structure, which I will show in a minute. So if you want to copy it, you can copy it for you use it for yourself. And that's meant for organizing stuff that belongs to those notes. So if I write a memo, I can include pictures. But sometimes I find something really interesting on a website, which looks like it was made in the 1990s or something. And I think like, maybe this website could go offline shortly, or it's really interesting. I just make a copy of the website. And also put that in the folder to which the belongs to the memo. So I'm sharing this with several PCs I use. And I think one of the nice things is that I already switched from using mkdocs to also serve the memos to sublime as my primary editor to add them to VS code and now VS code plus obsidian to use all my to view my view and edit my memos. And I see that as a strong point, because the memos themselves have not changed. So what does it look like? Here's a screenshot of official studio code. You see all the memos on this side. So they're all just an MD file with a number. Then here you see all my talking to myself. And here on the other end, you see the rendered view. So I have a preview of whether my inclusion of image actually worked out. So other stuff I did is with obsidian. And the nice part about obsidian is that if you make you can easily get a network of your notes. So if you create references as I did here. So I created references to other memos I made, you can see how my memos connect to each other. So the funny part is that you kind of feel like, Hey, wait a minute, I'm now working on whether I should change my organize my family in an agile way, which could be a completely an under talk to how that relates to scrum or getting things done or whatever. Sharing thoughts is of course what made me brought me into this. Very nice thing is if you have markdown documents, you can use a tool called pandoc to easily create word PDF or lathech output. And for those of you who are writing code, the very nice part is that in markdown, you can specify what languages is. And when you output the render the file through pandoc, the word file has actually the correct syntax highlighting. So I'm really happy with that. Same for lathech. But then those of you who use lathech will probably start crying because the way they do it is apparently very ugly. But it works for me. That's the first way to share it. So how to do this for yourself. Create a folder, the memo folder. Every create the index markdown file. And then I just create files with have a year, year month month and index number. So it looks like this, my index. And say I want to have one for today. I create I put the images and PDFs or whatever belonging to that. And if I ever find something and I don't have time to make a memo for it. I put it in the top in the top folder. And whenever I have spare time, I tried to sort it back to create new memos. To me, this really helps because I find that whenever I'm debugging or writing something new, I write down what happened. When I'm reinstalling something, I write down like, oh, I went to this page to find this quirky little thing. Recently reinstalled my laptop. So wrote down where I found the tricky parts for this laptop to get the brightness keys actually working. So next time I do it, I already know where to find it. That's it. I wish you all very happy note-taking. And a very nice conference. Also again, thank you very much for the very interesting talk. And it hopefully gave some of us some idea how to actually like keep sort of a diary in a useful way that you can actually use for something later and not just put it up somewhere under your bed or so. Yeah, so thank you very much. If there are any questions, the microphones are in the middle. Just step up if you do have a question. Thank you very much. Do you do any kind of key wording? So you have some idea which belongs to, I don't know, writing web pages or whatever it is you do or reading a book. So do you have any approach to that? So sometimes if I don't have a key word to start with, I just start. I think that's also the most important part. So somewhere I'm doing research on systems engineering. I like model or I heard stuff about model-based systems engineering. I'm making a memo about that and start my first stuff. On the go, I maybe split my memo. It's a bit of work because I have to sort all the files again, which are in the folder. But that's the way I do it. But like I made also make made it like a books to read list. And then if I read it, there's a new note with like my lessons learned from it. And because of the links, it really gets interesting because you like somewhere like you get emergent patterns. So just start. Hi. So I've also used the note-taking systems like this for a long time. I would be in fact like interested in organizing some kind of get-together with other people to talk about patterns in their stuff and whatnot. I have used Rome research, Athens research, Trillium note is currently the thing that I'm on. I've previously had like a flat text file, markdown files. What are some like other tools that you tried or like has anything else worked out better for you than just markdown files in Visual Studio Code? No. For now. So I looked at a lot of tools. And for me, one of the most important parts is that you have to be able to use the standard markdown because that's going to stay for ages. And it's so widespread. So I'm now using Obsidian. And Obsidian has some really nice extensions to markdown, but I'm not using them because if I start using those, I'll be tied to markdown or to Obsidian. Same goes for other tools that are very specific in how you put your files or how you do. And one of the things that this system tackles, that no other systems I find tackle is that I can store a lot of PDFs that belong to a memo in my file system. So if I find a lot of data sheets or background information or just PDFs of like web pages, I can store them with my memos. Yeah, Trillium note has this, but it makes sense. Thanks. Yeah, you're welcome. Hello. Thank you for the presentation. It's a very interesting topic. My question was, I have the requirement that I need to access and possibly modify the notes from mobile. And I did not find a good solution for this. No, I'm I'm struggling with the same thing. And especially, and now I'm, this is the bad part about my system, that if you store all these large files, you don't want to sync them all to your mobile. At least I don't want to do that because sometimes the PDFs get really large or whatever. So one way I looked at it is to use the paid Obsidian service. It's kind of possible because then they do the synchronization to a mobile app. And they also have a way to do it with your own tools, but it's quite a hassle to set it up. I also looked at other systems to use note taking app on a hosted next cloud system. Then you can log in from the next cloud system and edit your notes, but it just doesn't work. It's it's it's open for improvement. So basically, no good solution up to now. Correct. Thank you. Yeah. Okay. So thank you very much again. And Victor will still be around. Hopefully, if you've got any more questions or want to set up meetings with them, feel free to do so. So thank you very much again. And the next talk is actually going to be a little bit of a hardware talk. So a ramp on this talking about do it yourself solar bike caravan. And he should be on the stage anytime soon. Thank you. Need help? Hi, my name is Rapone. I'm from the C4, the Chaos Computer Cup Cologne. And yeah, during COVID, I was sitting at home. And then I refound my love for biking. And then I saw new two people were building caravans. And yeah, I started building it. And the also the bike is converted. And so yeah, it's really hot today.  So the bike is actually a normal bike. You can buy it used for like 1000 and you get like really good hardware. And the conversion was another 1000 euros. And you have a motor here. You take out the stuff and put in the whole motor. Then you crunch it together. And it's actually done. It's the conversion takes about two hours. So if you want to convert your own bike in this style, maybe you do it a little bit more tidied up. But yeah, two hours and you're done. And your bike is now an e-bike. And it runs well. You have to look. I don't know about the Netherlands and Germany. It's okay to do your own thing because the law is actually pretty not lush. It says it only may be the motor may only run while you pedal. And after 25 kilometers, it may not push anymore. And so it's okay if you put in 25 kilometers and you have your own motor. And also, oh yeah, that's my best friend. I need to put it nearer. So yeah, you can actually put it in different modes. But this one is now legal. It can actually go up to 40 easily. And it's a 1.4 kilowatt motor. But I only use it with around 300, 400 watts. So it is not so it lasts longer instead of like going really crazy. Yeah, and this is the caravan. It's actually built out of, yeah, I'm just going to open it because I was not finished. So there's a lot of duct tape, but duct tape really works well. So this is going to be my window. You see this is the bed and there's like storage room down there. Because I need was no time anymore. I just put screws inside and made it like really so it's tight. And I want to like have it open because the problem is you cannot really reach the downside and you're always going inside. It's better. This is the inside. So water does not get inside. So on the second day here, it actually broke and there was a little bit of wetness on my bed. But yeah, that's okay. It's all dry again. Essentially, it's mostly built out of those aluminum fear can't bear you can see. It's it's easily viable and then you a lot of how's it called? Neaton rivets. Yeah, the things are all with rivets and only the plastic is made inside with screws. And yeah, also I have a battery and it's in the back. So it always charges the solar will always charge inside. And so it provides extra energy in front. And yeah, that is actually we are the better thing is somebody has questions because I'm sweating a lot right now and I need more water at some point. Yeah, I will do a little self organized session. And if somebody wants to like look closer, it's tomorrow at three o'clock near cows west. So cows west, I think it's if you come from backbone, and you go past the heaven, then on the left side cows west. Yeah, okay. Thank you very much. Just two words for that. Cool stuff. And some water. Yeah, I'm not quite sure if you actually managed to get that one down step down the stage. So I think I just keep it. Yeah. All right. If there are any questions at right at the moment. If not, and or if you would like to inspect the caravan in more details, I'm really sure he will be hanging right around outside for a while. Okay, now switching speech speakers becomes a little bit more interesting than usual. Okay, so now we I'm happy to announce Martin Richter, who is giving us a very short introduction into to chaotic dynamics. I'm really interested to see how that introduction is possible in 10 minutes when it takes other people years to even understand the basics. So I'm very looking looking very much forward to this talk. And with that, I can hopefully, yes, send it over to our next speaker. Okay, thank you very much. So my name is Martin. I use at the, I work at the University of Nottingham. I am a physicist, but I'm working as an applied mathematician. And one, one things I one of the things I care about is chaotic dynamics, almost to a fault. And that's why I thought maybe to give you a short introduction. So I hope by the end of these 10 minutes, you have a vague idea of chaos is and that it's actually quite all around us. And I want to give you an introduction in terms of a small and simple example. So let's assume we have a some form of landscape. So imagine a hill and a valley and another hill in the middle and a valley and then this goes off to infinity.  And then you just let it go. And as you might, as you might think, it just starts moving, it accelerates, decelerates, gets slower again, and then accelerates again, has some higher velocity here, goes all the way up here, decelerates, turns around and goes back. So nothing to see here really. And that's not at all chaotic by any stretch of the imagination. But this is the kind of system I want to talk to you about. It's an asymmetric double well. So if you focus a bit on the depth of these troughs, this one is a little less shallow than this one is. Unfortunately, I will bore you with a little bit of maths formulas on the next few slides. So here we are. What we just saw interactively was a particle and a hilly landscape of sorts. And physicists like to model that by so-called potential functions. And this is the one I used. You can see that here. So it's x to the power of four. That's basically what makes it go to infinity at the very end, to the left and to the right. And then there's a minus x squared. That's basically what does the bulge in the middle. And then this mu, because we all love Greek letters, times x is what gives it the asymmetry. So if mu is larger and larger and larger, the asymmetry would be much larger, but it's not too big here. One property of this system is that its energy is conserved. So you can write down this equation here. It's called the Hamiltonian functions. And it's a sum of two contributions, the so-called kinetic energy and the potential energy. And if you put all the equations in, you'll see that this number is a constant. So what do you do with that?  Let's assume you want to do this yourself. Now, solving such a problem is already quite complicated. So you usually do this numerically. And the way you do this is, for example, physicists, we love Python, so we use Python for that. There's a routine called SciPy Integrate Quot, or Ode Inde, actually. And then you write the system in a different form. So what you can see here is Newton's equations you might remember from school in a slightly different form. So if you implement that, what you will see is that there is a link between what the particle is doing and this potential. And I would like to draw your attention to the right-hand side of these slides. So at the bottom again, here is our double well. This well is slightly deeper than this one. And on the picture above, what you can see is a so-called phase space. So instead of plotting what the particle is doing while it moves along, you register its position and velocity or momentum at the same time, and you plot that in a two-dimensional plot. So each of these lines here is actually what one particle is doing. I'll give you an example. If you start, for example, here, it would just close this line here, and that would mean it would oscillate around the left-hand side minimum. There's the same thing over here. So you start it here, and it would go around and this circular motion of sorts is what corresponds to the oscillation back and forth. If your initial position is further up on the left-hand side, say, you're on one of those curves, and instead of going back immediately, you go over to the other one, all the way down over here, and then you have this almost eight-like shape. And this is basically how we prefer to look at these things because they allow us to see everything at once. So just watching this ball going back and forth is nice to look at, but it's actually very hard to understand things. So therefore, we prefer this phase space picture. But again, there is still no chaos. In fact, if you look at that, it couldn't look any more regular. So how do we get chaos into the game? We get chaos into the game by adding a so-called external driving. So instead of having this double well, we will have this double well, and we will now start to rocket gently from the left to the right. So you might think, OK, that's all made up nonsense, but in fact, if you do experiments with, say, lasers or atoms in laser fields, that is some of the approaches you can use to model that. So I'll show you again what happens. We have again our ball here, and now at this time, the potential will move up and down on the left and on the right, and we will be watching what this particle is doing. I'll also plot in a faint color where this potential was originally because the rocking motion is periodic, so at the end we will come to that state again. So here we go. So you see this potential goes down here, and then it goes high up again. It comes down here. So this was one period of the driving, and it does a few of them, and you can see that now, of course, the motion of the particle is way more complicated because it now is an interplay between what the particle is doing and what the potential is doing. But again, we have the problem that we can't really learn much from that. It's maybe nice to look at, or it would be nice to look at if I wouldn't be that bad at programming, but we can't really learn much from it. So we'll just leave it at that and think, is there anything we can do and plot it in a form like that? So we just follow the particle again, and instead of watching where it goes, we just put the x and the velocity component into the same coordinate system, and we'll just have a look at how that looks like. So that is here. That's an interactive plot. Again, in the background are these lines we saw for the case of no driving. So when the potential is static, these would be our solutions. Right? Remember, the static case was your particle started here, and it just went around like this, or it went around like this, like this eight, or it was over here when it was on the left-hand side. Now, how do these orbits look like, or these trajectories look like when there is driving? So let me just start one. So if you can see the mouse pointer, it's currently over here, I'm going to click, I'm going to start a trajectory there, and just integrate what happens in the background and give you all the results here. And that's what you get. So because of the driving, it doesn't really lie onto these one-dimensional curves anymore, and it gets worse. It does look similar on the other side, but if we say go here, there's actually not much resemblance anymore. So for the time being, we might just take these lines in the background away, because they are not of any help. And I just want to show you what happens by starting a few more trajectories. So all the old trajectories eventually they are just colored gray, and only the newest trajectory is in color. But as you can see, this plot is not as helpful as you might think anymore. It's a bit like a drawing of a three-year-old, really. So there was a famous mathematician called Henri Pancaré, and he came up with a thing called the Pancaré section. So this is one of those cases where less is actually more. So what I'm going to do now is I'm going to show you exactly the same data as you can see here, but a very specific subset of it. So I'm not going to show you all the orbit, x and momentum, or x and velocity changing over time. I only give you the points at integer multiples of the external driving. So remember, the potential does something like this, and every time it's here, I'm going to give you these two values. And just this again. Snap, I'll give you these two values. Snap, and I'll give you these two values. So it's a very tiny subset of all these drawings you can see here. Before I do that, let me start a few more just to convince you that looking at all the data is actually a big mess. Okay? And now I'm going to remove most of them and just leave these two points I was talking about. And then it looks like that. And it's a bit like being out in a hut in the woods in the night and you go out and you look at the stars and suddenly everything is clear. So by removing plenty, or the majority of these points, we actually saw that we can see and understand way more. So there are a few initial conditions like these here which would fill two dimensional regions densely. That's what mathematicians call them. And then there are others which form these one-dimensional curves. And it turns out that they are what we call integrable and they are what we call chaotic. So if you have two points close by and you start them, they essentially diverge exponentially fast. But now you can actually see way more things than you could before because everything is so much clearer. So for example, we could now start trajectory up here and we see this blue thing. It pops up all over the place but you can actually see way clearer what's going on. If we put the whole trajectory back in, I bet you would not have been able to spot this in all the chaos which happens there. So that was what I wanted to show you. That if you start with a simple potential, start rocking it that you can introduce chaotic dynamics but that sometimes less is more, namely by removing most of these points you actually arrive at much clearer pictures and that is actually something you can then use to describe for example molecular dynamics in external laser fields and that's what I'll do for living. Okay, thank you very much. Hello, Mike. Yeah, thank you very much for showing us to create chaos and then if you have chaos, how to still be able to see stuff inside that chaos. That was very interesting to note. Thank you for that. And yeah, we do have one more talk coming so please don't run off immediately. And now if you've got any questions on this talk, there are microphones in the middle. Please step forward and just ask your questions. And if there aren't any immediate questions or more complicated ones, I hope he will still be around a bit for more detailed talks. Okay, yeah. Why? Why doing things like that? You mean? Yeah, what's the use of it? So the main problem you have or you're facing as a physicist that your task is to describe nature.  So somehow you need to find models. And depending on what kind of physical aspects you want to model, you'll use different languages from your mathematical toolbox. And this is a very prominent one. Now chaotic dynamics are very, very complicated. So in order to understand how they, how they work in principle, it's much better to use simpler models first and examine what kind of generic behavior can show up in them. And that's one of the simplest cases to look at. Hence, that is one thing you can use to, to get, to, to understand it. Thanks for the talk. Much appreciate it. You're way more educated than I am, but I actually tried looking at the, so you were talking about the constant that you have in the velocity, right? And when you start shaking it, velocity is actually well obviously changing as well, right? Would you agree with me that what we're looking at is basically going from a linear regression model to a nonlinear regression model here? No, that would be the wrong mathematical tool to describe that. So the field we are looking at here is called dynamical systems, more specifically ordinary differential equations, while these regression models, that's more statistics and things like that. So here's no uncertainty. This is, it is chaos, but it's completely deterministic. If I, if I choose this initial condition here, it's completely clear what the next points will be. It's just that if I'm an epsilon off, so 10 to the minus 15 or whatever, then after a few iterations you'll see something completely different, but it has nothing to do with, with any of that. Yeah, okay. Thank you very much again and a big round of applause for teaching us chaos in just a few minutes. Okay, and then we are coming to our last speaker for today. Petros Ilios, who is going to give us a short presentation about his research project, which is, if I understood it correctly about drones and using them in SAR operations. Yep, Ben. Okay. Hello. Yeah, my name is Petros Ilios and I'm going to show you some short intro on the project. We as a group called Searchwing are working on. As you can see here, it's about a drone and yeah, we use it for Mario team search and rescue missions for and we help NGOs like Seawatch and all the others who work in this field to find people in distress and rescue them. So just give you a brief overview of what it is about. So we build these drones mainly for search and rescue in the Mediterranean Sea area. So as you might know, they are still people fleeing for various reasons from global south, mostly to the global north. And often they do this by sea and I put here a slide or a screenshot of the recent data from the UNHCR, where you can see how many people flee in 2020. It was 52,000 and 800 people died while doing this journey from the south to the north. And this is still not nice that this is happening. It's basically unacceptable. So we try to help the NGOs to help find the people before they drown. So in the NGOs who work in this field, I put just a few of them here. It's SeaWatch, for example, or CI. Rescue ship is another one.  And from now and then there are new ones also emerging and they go to the sea. They search for people in distress and mostly in the Mediterranean, but also in the Atlantic. And if they find some, they rescue them and bring then hopefully to a part of safety and where they can go and land. But it's not only the NGOs who try to find the people. It's also governmental actors like Frontex and they also use drones. You can see them up here. They are way bigger than the ones we have. And they fly around and you can see it here in this kind of patterns over the sea and search for the people. And if they find them, they tell these to the Libyan Coast Guard and then they catch these people up and bring them back to Libya, which is not legal by international law, but they do it anyway. And when they catch them, they don't treat them very nice of human. You can see here that they basically beat them with ropes and stuff. So it's not very nice what they do. But yeah, we as this group of drone enthusiasts and programmers and mechanical engineers, we try to build these drones. And yeah, I can show you how this works, actually. This is a screenshot from a movie I want to show you now. This gives a nice intro and how the system works. OK. So. We. Start from the ships. And yeah, we not only starting from the big ones I showed you in the slides. We also start from small sailing boats like you can see here. And this is a video material where we were on a mission in Mediterranean and on the sailing boat. And yeah, here is such as some, yeah, how it works. So we have a tablet. We program in the tablet the trajectory the plane has to fly. It's quite small, the drone. It's quite cheap, actually, as we use a hobby RC parts, which are mostly available from off the shelf. And yeah, it's we have to the thing is we land at the end in the water. So we need to make this whole thing waterproof, which makes it a bit. It's a bit unsoftly related problems we had to solve. And it was very hard for us. It took us basically four years now to find a working systems to do this. And it flies quite far. 100 kilometers. It's it's not that much if you consider the whole Mediterranean, but it's something at least, which can help the ships to find the people. We fly at 550 meters altitude and we have like roughly 20 centimeters per pixel resolution, which is enough to find these yeah, two by 10 meter boats. And we also fly this rescue or this square pattern you just saw. And yeah, and then we take pictures after we took the pictures where we land, then we get the drone on board the ship again. And there we analyze the images. And I think this will also come in a second that you can see this in a picture. Yeah, you make four first forward. Yeah, as I told you, it's waterproof. And yeah, we retrieve the drone with a small boat and then we get it on board and we do the analysis, which is assisted by a computer vision algorithm which tries to find the boats and then starts the images. So the human still needs to check every image, but we just saw them because we cannot trust those algorithms. And therefore we always tell the people you have still have to watch every image. Okay. So I hope this gave you a small idea how the system works in general. Okay. So I told you we were working hard on the hardware issues we were facing with the waterproofness. And in the end, we settled down with a 3D print, but instead of doing it on our own, which wasn't working very well, there were always holes in the 3D print even if you took so much effort to make it waterproof. It's not really waterproof if you put it under water for some time, it's still water coming in. So we settled down with a laser centering box which was then finally waterproof. And we put there in all the components like GPS, Raspberry Pi you can see it on the bottom right, the green one. There the two cameras are connected which are on the bottom middle side, mid area. And we have a telemetry on board. There's the antenna which is coming out of the box. And we also have a wifi connection maybe soon but that's still in development. We have on the right-hand side, you can see a small board which is the autopilot. So the drone is flying fully automatically running autopilot, autopilot, autopilot. Yeah, I told you we have this boat detection algorithm and to give you an idea how hard it is as a human to find all the boats, maybe you can now try to actually find all the boats in this image because it's not so easy. I mean, one is quite obvious, but do you find any other boats? Or how many boats are in it actually? Any bets? I hear 10, four, 14, all wrong. It's only two, but as you can see it's very, very hard to distinguish all these small boats from waves and stuff. It's not a really easy task, especially if you're on board a rescue ship for two weeks and there are high waves all day, then you're super stressed and you cannot really focus on finding all the boats in these roughly 3,600 inches per flight. So we need some computer to help us on this task. Yeah, I'm also coming to an end now. This was just a small intro and we might do another self-organized session today where I can say more details and stuff which went wrong and which works quite well. We are always trying to find more people to help us on our stuff. It's mostly open source or yeah, it's almost everything is open source what we do. We search people for software, for hardware and yeah, on the right hand side I put some tasks we recently have, currently have regarding the image recognition task or if you find anything which appeals to you or you want to learn maybe also then just hit me up and would be very happy to talk to you about this stuff. So yeah, thank you. Maybe one more info regarding this self-organized session so it will be maybe because my laptop has just died so I need to check if I still can do it but it should be at seven in the 1,001 nights village just to the left to you. Yeah, thank you very much for a very interesting overview and if there's, well, it's about saving people's lives so if there's anything that is worth your support that's probably their work. Yeah, for any questions, microphones as usual are in the middle. So if you've got questions, just about please. Hi, I was, thank you for your talk. I was wondering who's funding all this? Currently or until two months ago it was basically our own money from the pockets and now we get some funding from Stiftung Synodretton so they fund us with some money to pay.


It's Sunday, February, not morning, let's see, 12.55 p.m. We've got bison bacon chili going in the crock pot. It is a altered version of our recipe because I made it a lot less spicy than Bob generally likes it. I will include the original recipe down below, but keep in mind if you don't like spicy food you want to take some of the chili powder and the habanero peppers and stuff like that out of it. So adjust the spices to suit. Anyway we've got that going. We've got some other Super Bowl food going. It's Super Bowl Sunday and I'm not watching the Super Bowl. I'll be watching YouTube or something, but you know got the cooking apron on because yeah. Anyway now I'm in the art room and obviously vlogging. I'm going to be moving some paint around down there and I have some there in clear bins. I'd like all the bins to look the same and be white. I know that's a weird thing, but yeah. So I'm going to have to change that. And then what else? I did use up all of the spray inks that I wanted to use up and our box for February is getting pretty full. So I saved and I couldn't remember last night what they were called, but I saved let's see six bottles of this one. Mixed Media Art Spray by Meraboo. I'm not a huge fan of spray inks, but it is the one when I want to use it that I do like.  Do a little bit for that project and then dump the rest out and wash it out. The sprayers get clogged on all of them, so it's a constant struggle. Anyway, they drive me crazy. I have all those cookie sheets have papers in them where I dumped the ink. The non-stick mat has some glitter glue where I squirted that out and it's drying so I can use the dry glitter glue as embellishments on paperclips and stuff with which I have a stack I need to do right there. Oops, right there. Anyway, a lot of projects to do. Never enough time to do them all. I added a second face to our big piece of paper. Yeah, I don't know if I like her or not, but she's there and that's what it is, so you know. Anyway, so yeah that's it for today. I will keep you all posted if anything else interesting happens. I'm not anticipating it. We're just taking it easy at home. We may go for a walk later. I don't know, but my knee's like a one maybe, so we'll see. All right, I'll be back. So I don't know what time it is. It's like three o'clock or something. 3.49. Football is playing and everybody's drinking or watching. I don't like football and I don't drink, so I could spend time with my family of course and I will in a bit, but I thought I'd come out and get a walk in first while it's still light out. I'd rather not wait until football's over. Everybody's been drinking too much and then try to go to for a walk in the dark. Just seems like a recipe for disaster to me. Hey guys, it is Monday. It's already well after lunch. I think it's, I don't know, probably almost two o'clock. I have no idea actually what time it is. I spent the morning doing all my writing and editing the regular vlog, editing the chronic pain vlog. If you want to see the chronic pain vlogs, you have to be a member of Arthur Chronic Pain. I'll leave the link in the description down below. I put some of the videos up here on YouTube public and some are unlisted for the people over in Facebook only. Anyway, I got that done. I got my face for today drawn. I decided after reading Jane, Jean Haines book last night, Paint Yourself Positive, I was inspired by what I read in her book to take another piece of watercolor paper that I had that had tons of inky marks on it that I actually started, I think, back before we moved to Oregon. I've had some collage and stuff on it too that I started last year. Anyway, I'm going to write on it one positive word a day to try to just focus on positive things and not negative things in black paint pen, black Sharpie marker, paint something. So every day I'm going to write one positive word on that paper and then I'm going to take that one down and I'm going to draw a face on the other one for the whole month of February and we'll see what happens. I think it might create something that's interesting and also might help me change my mindset about a few things. So it's all good, right? Anyway, if you want to follow along with those videos, the videos are only going to be for YouTube membership supporters and patrons over in Patreon, sorry, but the still images of the progress on the boards will be available on social media, Instagram, Twitter, Facebook, and over in either my Facebook business page or my Facebook group or both. So follow me on the easiest places to follow me on Instagram because I'll all be on Instagram and you can follow along with that and we'll see where it gets us. All right, I'll be back. And yes, even though I looped already, I almost said September. Am I going to get them all done? I don't know, but I'm going to go to Michael's first and Kavella's. We're almost at a deer corn, so I'm going to do those two things first. I also want to pop by the library. One are both libraries that are near here and I need bottled water and I actually need some vitamins. So we'll see how many of those I get done before the appointment and then I might be doing some of them after the one I might put off is the library and might just wait until the husband can come with me on Sunday. We'll see. So anyway, I will take you with me where I can and we'll see what happens. My knee feels good this morning, by the way. It's like a one or a zero this morning despite the fact that I went to the gym last night. So it's working. All right, I'll be back. Just the whole coronavirus thing going on that my husband texted me this morning that this company has suspended all international travel, non-critical international travel without they've suspended all non-critical international travel and critical international travel requires executive approval. They've never done that before even in half a mile. China, they have some employees that are Chinese citizens and you know, we're all concerned. So and as of this morning, there's 20,000 people infected and almost 810. So far none in Oregon cross your fingers. Anyway, I mentioned it as part of my chronic issue. So that's why I'm mentioning it. And if you're like me, then you understand and you know, we do art. We try to keep busy and do other things to stay on top of it if needed. Yeah, do what you have to so it doesn't send you off the deep end. Right? All right, I'm going to go run some errands and I'll be back. Out of physical therapy and it didn't hurt what going in. It was like a zero or one. Of course, now my knee actually still doesn't hurt. It's a little bit sore. But of course, the muscles and things they were pushing on around the knee are now sore too. So anyway, I've got the brace back on. I'm going to go run by the two libraries and then I have to go to like Rite Aid or Safeway or someplace. I need some I'm running out of one of my vitamins, one of my supplements. So they didn't have it at Fred Meyer. I got everything else except that, but I'm literally out of one of my supplements. So I need to do that before I go home. I think the one thing I may not do is drop off the art supplies at the family shelter. I may put that off just another day or two. But I think I'm going to try to get everything else done and then go home and have lunch. All right, that's it for the moment. I'll be back. It's Wednesday, February 5th, 308 or so p.m. to be outside and cold. And that's how hence the terrible lighting. I'm in the Pacific Northwest. I don't know what to tell you. Anyway, I spent the morning doing a lot of artwork chatting with my friend Barbara Clark. And my table is covered in stuff. All good because it's all art that's drying and stuff. And I got my word on my piece of paper. I don't mean to make y'all dizzy. There we go. Got my word on my piece of paper for the day. I got a face done for the day. I finally, after day five, figured out I think a good place for the tripod back there that I think will work going forward. I am filming the faces for a, I'm filming the faces, doing the faces, vlog style. And I'm putting the video over in Patreon and and or for YouTube members who are both of whom are supporting the free content here on YouTube. So if you want to see the footage of me actually creating the faces, you have to go. One is $1 a month. One is $2 a month. So yeah, whichever one works for you, do that one. I'd appreciate it. You can also shop in my Etsy store, put some money in the Amazon, PayPal, Tip Jar. There's lots of other ways. So they're all in the video description, no matter where you're watching any of my videos. There usually is a description attached because they're usually on YouTube and so click on that and yeah, if you can't find it, message me. I'll get it to you. Anyway, I think I'm done up here for the day maybe. I think I probably should go downstairs and do some actual chores like dishes and laundry. Yeah, but I am, I was sorting out my stash of words and sayings and I took almost all the fortune cookie fortunes I had in my stash and I covered two pages. So that is drying and I'm going to have ideas for creating an art journal page on top of that where all our most of the words will show. So that's going to be good. I took the extra page from creating today's face and I covered another journal page with that which is drying and I'll be creating a journal page on that one. Worked some more on my Jane Haynes book making these flowers, the abstracted flowers today and I'm working on a bunch of paper. Yes, I haven't given up on the paper clips and I still have some more of the painting papers drying from using up a bunch of ink sprays. I did go through my regular ink basket, some more stashes of acrylic paint that I found and I'm going, I purged some of it and cleaned up, cleaned up. I made things make more sense and I'm going to take what I'm getting rid of over to the family shelter. On Friday I think after I have physical therapy I'm going to take a bag of art supplies over to them and I did get rid of the little drawers of words that were up there right there. If you don't know what I'm talking about in my old video I had a small set of drawers in my old video, my old studio, a small set of drawers which is where I kept all my words and my fortune cookie fortunes, my tea bag words, my words clipped out of magazines and that because as you know I use words a lot in my art. Anyway I found that I wasn't using the words that were up there on the shelf in this new space for those that don't know. I moved about a year and a half ago. Instead I've been using, let's see if I can get it out, words out of here. This is a series of pencil pouches put together with binder rings and I have my word stickers, my words that have been clipped, my tea bag words, everything sorted and organized in there and it lives right here by the table. I find I use that all the time and I wasn't using the words that were up there.  So remember that box I talked about last week that I'm filling up in the closet, I'm going to purge and send off to somebody's words. There's three bags of words, some of them are word magnets, yeah there's all kinds of words. So anyway so that's done and I decided to on these faces to keep my people notebook out where I have like reference photos of faces and facial expressions. It'll help me I think in making the faces on the on the board this is my word one. These are the faces so far. I do share them on social media so if you want to see them every day as I do them follow me over on like Instagram or something you can click on my link tree list of links and follow find all my social media links there. It'll take you to link tree website and then that'll give you a list of links anyway. I'm going to change some laundry and do some dishes and that kind of stuff. All right I'll be back. I also think we're going to the gym tonight so I think I need to get done before we do that. All right I'll be back. Good morning it's February 6th it's 10 15 a.m. Thursday and I've decided I'm gonna go take whatever they don't want to Goodwill. I checked the PO box and stuff like that. I already did my face for the day and my word for the day I'll insert pictures here somewhere. You want to see the video of me painting all the faces you need to be so I already did that. I decided tomorrow I don't know how many he's going to feel after therapy so maybe it would be better if I ran errands today just in case I feel like just going straight home tomorrow. That's a thing. All right I'll be back. Okay so I've mentioned it before it's the Good Family Shelter here in Tigard and they took all of it. They took the media medium priority mail flat rate box full of strange bits and everything else so yay.  I'm a mixed media artist. I said do you want that too? She said sure so I dropped it all off and there you have it and for those who are thinking it no I didn't get a receipt.  I did it anonymously and I didn't get any receipt or anything for it. It's just a good deed and you know it shouldn't be about getting something back always so anyway that's it for the moment. I'm going to go I have one other bag of like clothing so I'm going to take that over to Goodwill. I'm kind of thinking and wondering if there's other things I can do today. I do have my list of things that I was supposed to do the other day but I got all this done I think. Friday morning February 7th it's 7 13 a.m. don't get excited. Obviously I'm in the car and so yeah I've been up for a while. I have physical therapy this morning and I think the only thing on the agenda is physical therapy this morning and then took a home and get some stuff done in the art room. I don't think I have anything else on the agenda today. I don't know what we're doing for dinner. Generally Friday is some kind of pizza night. We don't I hate to tell everybody at home we don't have enough pizza at home but I'm not stopping at the store to go get it so we're like we're gonna just have to work it out. Anyway I'm too tired to think of anything else this morning. I do have my coffee with me because you know yeah. Okay holy cow I'm done with physical therapy. I feel like I'm a mess. I went in my knee was probably a zero or one and I came out it's probably a one two. I expect the pain level to go up a little bit if only because there after you do your exercises they do some manipulating of the knee and the leg and so actually when he does that what hurts is not the knee it's the muscles in my thigh because he pushes on some of the muscles and the tendons.  Anyway I was texting with a husband while I was laying down on the table with ice and we're gonna just do take out probably probably pizza caboose so anyway we're gonna do take out tonight some kind of take out or something that I don't have to stop and pick up on the way home so I'm gonna go home I'm gonna finish my coffee I'm gonna have some breakfast and go upstairs and turn the computer on I'm too smart sounds like a plan to me what are you gonna do crush your fingers people I've been trying for so long to get my old iPod which is still working but dying a slow death and the music that's on here and more importantly the playlists that are on here I got them synced to my iMac desktop but then I couldn't get the playlists on my other devices I got the music library but not the playlist and I couldn't figure out what was wrong is driving me crazy Apple tech support people were absolutely no help and I think she actually might have given me the wrong information I might have just figured it out cross your fingers yeah give it a few minutes and we'll see what happens okay while we're waiting to see if that is going to work with my music situation and my playlist I've been doing a lot of touching up on projects lately we're working on the face of day as you all know and that's where we're currently at for February it's day seven we're doing a word a day on a different sheet of paper I've been doing a lot of watercoloring and art journaling which I need to work on a journal page this afternoon I turned the camera nothing like recording all of that not having the camera on so anyway I've been doing a lot of watercoloring and lately along with art journaling and other things one thing I'm noticing with this really big palette which I love because all my colors are here but the lid was always flopping down backwards I don't use it to color mix I kind of wanted it to stand up and especially to have the color key up against it so that I could easily see which colors are where down here but I was propping it up with water bottles and things behind it it was very inefficient it was falling down and I realized I thought I wonder if I have a book stand or something and I realized I had this this thing here it's an embroidery stand it's for holding up your embroidery charts your color keys for embroidery when you're working on a piece of embroidery you can get them at any sewing and craft store in the embroidery department they're widely available they're not expensive to begin with and if you have a 40 off-cube on they're even cheaper anyway I had this one so I used a big binder clip to clip it to the lids the lid stays resting against it and then I used two smaller clips to clip the color key to said lid so now the whole thing stands up it's very stable and I can bring my journal down here I can quickly see which colors are where I've got if I'm working out of a book which I am right now I got that there my brushes my water my rag and surplus tools all readily with in hand perfect so my point of that is not to brag but when you have situations like that in your art room try to think outside the box and what do you already own that maybe can solve the problem without spending any money you might have something you never know all right I'll be back so I gotta say it's working you know I got frustrated doing the googling because I couldn't figure out what I wanted so I thought I'll call I'll I should not call all instant message with Apple support and see if they can help me figure out why my playlists aren't syncing with my other devices my playlists that were on my computer and at the same time make sure the computer music and playlists aren't synced to the cloud which is what everything else is connected to because I thought maybe it wasn't but I didn't know where to look to see to check that anyway she said oh you can't do that in reference to the playlists they don't transfer over she says yes they do and I figured it out without her and it's working anyway it's transferring over I have a lot of music so it's going to take quite a while but it's the point is it's working yay all right I want to also tell you I was playing with some embossing powders I have a bunch of Seth Aptors big textures and different kinds of his embossing powders and I didn't have any idea if you could emboss through a stencil especially a detailed one and if you could which of his oops which of his powders would work and which wouldn't and I was working on the page that I covered in fortune cookie fortunes which I think I showed you all already and so I used one of my new stencils coming up silence and the answer is yes the finer textured powders will give you a better impression than the thicker more coarse ones which this is a couple of different ones but this is one of the core the main part is a coarser one but I like the way it turned out anyway but the point is you can there is a trick to it and you do I do recommend some experimenting if y'all would like to know what the trick is and you want me to film a video on it let me know in the comments below all right that's it for now I'll be back hey guys it's like 6 30 in the evening went to the gym this morning I got some if you're watching this you got that you saw the footage I shot there or still images I shot there because I'll put some things in and then we spent a long time today out just running a bunch of errands going to a big box discount store Costco and here in the States for those that don't live here Costco it's like Sam's Club if you have Sam's Club near you so I hear I've never been to one anyway um we went to Fred Meyer which is Kroger owned by Kroger we went to the mall we went to um somewhere else I can't think of right now oh the Portland running company to get new shoes anyway it was a really long day and when we came back I was so tired and my knee was bothering me so I sat with ice on it I got the art I wanted to do done today before we left the house so that was done but yeah my daughter at Costco I guess found these she says they're really soothing so she gave me one she went a whole big bag uh box of them at Costco and she says she hasn't seen it in a long time and it was something she got in a beauty box at one point a subscription box that she hasn't seen in a while so she was surprised to see them at Costco so anyway I was in the bathroom putting it away there's TVs and stuff on out there and yeah so anyway so it's been a long day but it's been a fun week I got a lot of really great art done this week um I know I wasn't going to get too much done today because it is Saturday and it's kind of family day um tomorrow I might go out to the craft store I have a coupon so I might want to do that we'll see if I get out and do that or not I don't know anyway it's been a fun week if you have any questions comments or concerns please leave them down below um I will leave any relevant links in the video description as per always there's lots of ways to just to support the free content here on YouTube um and over in the Facebook art groups I have a patreon I have a youtube membership uh amazon affiliate link doesn't cost you any extra but I get a little money back if you use my storefront link um I have an at sea shop I have my own design line of stencils and stamps and stuff so you can go shop over there original art that you see in the videos and some of it is already listed over neti is always everything's always for sales my husband says so if you've seen something that you've seen me make that you like that you think you might want to buy let's talk my email address happy mail address all that stuff's in the video description so check it out I think that's it I can't think of anything else don't forget to like share subscribe and blah blah blah don't forget to like share and subscribe and go out and have a great day have a great week do something nice for yourself because you deserve it and I'll see you later bye guys


Check this out though, check this out though. Fear and faith are the same exact thing accompanied by a different emotion. They are both a belief in something that hasn't happened yet and that is not solid or provable. In any situation, you can have one or the other, fear or faith, but you can never have both. So, which one are you choosing?


$1,000 close to $1,000 USD immediately. And the next thing I need to do is to unlock my trade, alright? After you unlock your trade, just click on the sell button and you will be able to execute on this strategy in a very safe manner. I'll profit about $1,000 in about just three days time. Facebook just announced its latest earnings. It's a bang. Is this the right time to buy Facebook right now? If you want to find out more, then keep on watching. Hi, Minus are all Kylie. This is Chloe and welcome back to my channel. They're all in one place for you to learn about stocks, investing as well as options. If it's the first time you come into my channel, remember to hit the notification bell as well as the subscribe button so that you will not miss out on my future insights. An early thumbs up is also appreciated because I will tell you to algorithm that you find this video helpful and they will help to push out to more people to inspire them to start investing safely. Do stay all the way to the end as well because I will be sharing with you one very powerful option strategy called BOSS to increase your return immediately. Now before we dive set into Facebook's latest earnings results, let me give you a quick summary of Facebook's almighty power. Facebook is the largest social network in the world with nearly 3.5 billion monthly active users using its platform like Facebook, Messenger, Instagram as well as WhatsApp. What does 3.5 billion users actually mean? That means in the world, half of the population are using Facebook services. But you may be wondering since Facebook is already a giant in its space, can it continue to grow and is this the right time to invest? Now let's check it out. The first thing that you can see that literally blow my mind away is its revenue growth which is close to 35% year on year. We know that COVID-19 has actually accelerated Facebook's growth but with the recent privacy protection policy coming out from Apple, a lot of investors are getting scared and they thought that Facebook would suffer a revenue drop. But uh... didn't happen. Now let's take a look at the EPS growth rate which is close to 18% year on year which once again showcased Facebook's almighty power in its network effect to attract more advertisers to its platform. The number of users on Facebook is also maintaining its consistency and most importantly, average revenue per user is growing very very healthily. And because of Facebook's large and growing user base and the rich data it generates help advertisers post more effective target ads, more advertisers will definitely jump on board allowing Facebook to further monetize its network. But what I like about Facebook the most is not just its very strong business model at the moment but Mark Zuckerberg's vision to bring Facebook to the next level. In fact, Facebook is planning to rebrand the company name to reflect its focus on building the metaverse. Over the years, the 960 billion market cap giant has been pouring tons of resources to build up its VR and AR arm in the hope to become the leader of this growing economy. In fact, Mark Zuckerberg said the metaverse is going to be a big focus and I think that this is just going to be a big part of the next chapter for the way that the internet evolves after the mobile internet. And it's going to be the next big chapter for our company too really dumbing down in this area. Currently, Facebook is generating over 30 billion free cash flow every single year. However, it's not paying any single cent to its investor as dividend. In my opinion, it's a good thing because I can see that Mark Zuckerberg is really using the cash effectively to bring the company to the next level by focusing on the new technology. And because my portfolio investment is really more for growth, it really makes sense for me to invest in growth companies like Facebook. In the next few years, it's very unlikely that other competitors are going to overtake Facebook in terms of digital advertising. So Facebook still has ample time to use the cash cow which is the advertising side of the business to fund its metaverse project. And once it establishes itself as the AR and VR leader, Facebook will once again dominate another fast growing economy. And that will be the beginning of another growth story. Given its current stable business model as well as its future growth plan, Facebook is definitely a company to invest for the long term. Right now, Facebook is being traded at 24x PE ratio compared to its 5 year average which is close to 32x. That is why in my opinion, Facebook is definitely undervalued right now. In fact, I just added more stocks as well as option positions during the recent volatility to profit from it. And right now, I want to log in into Moomoo platform to demonstrate to you step by step how you can use one of the very high ROI option strategy to generate immediate passive income for yourself. If you have not opened that Moomoo account yet, then remember to register via my link below because if you sign up through my link, I personally will also be giving you my own private portfolio watch list which I spent countless of hours of research to make sure that all the companies inside my private portfolio watch list are top notch companies. And on top of that, I even share with you what are the price to buy and what are the option strategy that I am going to execute on that. All you have to do is sign up for Moomoo and fund 2700 Singapore dollars inside and after that, submit your Moomoo ID to the Google link below and I will be sending you my private portfolio watch list in the next one week. So right now, I'm going into the Moomoo platform to demonstrate to you step by step how can you actually use options to generate additional return every single week and every single month as well. The option strategy that we are going to implement is called BOSS and what we want to do is basically we want to actually promise to buy Facebook because we all really know that Facebook is a great company and based on my analysis just now, it's actually undervalued. So what you want to do is you actually want to sell a promise to buy Facebook at the current price right now. And in fact, right now it's really no brainer to buy Facebook at the current price, in my opinion. So what we want to do is, okay, in Moomoo, you can under quotes and under the options column. All right, what I need to do is I can actually in terms of options, there are many different dates that I can choose from but I'm just going to select the latest option, which is going to expire in three days time. So what I want to do is I want to promise to buy Facebook at 327.5 because I really feel that this is a very good price to buy and hold on for the long term. So what I need to do is I just do this by clicking on selling a put and then I just double click it and you can see that over here. This is basically what I just clicked and what I need to do right now is to click on the trade button. Right and when I do that, you can see that this is the amount that I will be collecting $1,000 close to $1,000 USD immediately. And the next thing I need to do is to unlock my trade. All right, after you unlock your trade, just click on the sell button and you will be able to execute on this strategy in a very safe manner. I'll profit about $1,000 in about just three days time. All right, promising to buy a great company in the long run. Okay, this is one of the safest option strategy that you can ever implement. And it's very, very lucrative. Even Warren Buffett is using this strategy to generate billions and billions of dollars. All right, so if this is something that you want to do, remember to take action. But however, if to you, options is something very new, you're not very sure exactly how to go about doing it. Then my suggestion for you as do join me in my upcoming Options Foundation class where I'll be breaking down for you three powerful options strategy for you to make profit in a very consistent manner, regardless whether the market is going up, going sideways or even going down. All you have to do is to register via the link below and I will be sharing a lot of powerful and practical option strategy inside the free webinar as well. That's it. I hope you enjoyed this video and if you find it helpful, remember to share out so that to inspire more people to start investing. Also remember to subscribe to my Telegram channel because I constantly post a lot of investment insights over there. So with that, I will see you in the next video. See you next week. Bye bye.