What's up guys, my group of Jaspies doing a quick recap for our 2023 Topps pristine baseball two box break random team number 23. Just done auction style on Fnatic's live. Here's the list. Positive if you need to. And here's the recap. Springer gold. Juan Soto going going gone. Gold to 50. Shohei O snap to 25. Orange Jimenez gold relic auto to 50 and a Schwabber relic auto. Now the encased cards. Paul Blackburn, David Wright to 50. Torx. Bregman to 75. Altuve and Adley that's snuck in there. Libertor auto. Jock Peterson red three of five. Nick Prado auto. Kyle Stohr's auto and a Tyler Freeman gold auto for Cleveland. So that does it for the recap. Thank you to everyone who got into the break. Thank you guys for watching and I'll see you guys in the next one. Bye guys.


Ukraine conflict exposed truth about Western military equipment. Putin. Ukraine is facing significant battlefield losses, and its counteroffensive has failed to impress the country's foreign backers, according to Russian President Vladimir Putin. Speaking during a Defense Ministry board meeting in Moscow, he pointed out that Kiev's forces are having these problems despite receiving high-grade Western military equipment. The myth of the invulnerability of Western military equipment has collapsed, said Putin. Throughout the Ukraine conflict, countries like the US, Germany, France and the UK have supplied Kiev with hundreds of pieces of state-of-the-art Western-made heavy military equipment, such as Leopard 2, Abrams and Challenger tanks, Bradley infantry fighting vehicles and more. Russian forces, however, have repeatedly reported either destroying or capturing these hardware, which had often been touted in Western media as superior to anything Russia has to offer. In August, Russia's Defense Ministry even organized an exhibition of captured Western weaponry near Moscow, displaying everything from American M-113 armoured personnel carriers and Swedish CV-90-40s to French-wield AMX-10RCR tanks and Australian Bushmaster armoured vehicles. In total, the exhibition featured over 870 types of armaments seized by Russian forces, including examples of Soviet and Ukrainian-made equipment. In July, President Putin also stated that captured Western weaponry would be reverse engineered to adopt any technology that might turn out to be useful for Russian forces.


Hey guys, it's Tilly and I feel like a princess right now. I did a mini book photo shoot with this vintage dress that I bought recently. That's a sneak peek of it, but I'm going to be posting all my photos to Instagram shortly if they turned out well, so fingers crossed. But today I'm going to be talking about my August wrap-up. I read and listened to quite a few books in total, there are 10 and it's just been a good reading month. So there's no particular order because I don't really remember when I read them, plus I was listening to audiobooks and also physical books. So I'm going to start off with Vicious by V.E. Schwab. I've had this book on my TBR shelf for quite a long time, quite a few years. Even the pages have started to yellow just sitting on my bookshelves. I finally read it and I absolutely loved it. I gave it five stars and I'm currently reading the second book which is Vengeful and I just was completely amazed by it. I thought that the plot for this book was really unique. It is basically about these people called extra-ordinaries where they have a near-death experience that is quite traumatic and it gives them these superpowers. It follows multiple point of views in time but also of characters as well. You have quite a amazing cast of characters. What I really like about this book is that the main characters are kind of villains, so you're rooting for people that aren't morally great. But the characters are really what drives the story and I really liked the unique plotline as well. I devour this book and I am absolutely planning through the second book at the moment. Unfortunately I did have two do not finishes on my pile. The first one is The Last Bookshop by Emma Young. I'm probably going to try to attempt to read this further down the track but I picked this book up like four times this month and every time I didn't get past a couple of chapters in I just kept falling asleep and it really saddens me because I really wanted to enjoy this one as it's about bookstores and it's based in Perth as well. So it's a DNF for now but hopefully I can come back to it at a time when I feel like reading this book but unfortunately it just didn't make it this time. Then we have A Touch of Darkness. I also read this second book in this one which is A Touch of Ruin. This is a Hades and Persephone retelling. It's a romance book and I've been really into romance at the moment but I am running short on what to read so if that's so any romance Rex leave them down below. I've read quite a lot of Hades and Persephone retellings at this point that I'm going to need to just quickly read the blurb to remember what this one was exactly. So this book follows Persephone who is obviously a goddess but her powers aren't very strong and she goes into a deal with Hades which of course might mean there's some romance between them and Hades gives her the impossible task to get out of their deal by creating life in the underworld. Like I said it's a romance it was pretty good. I've also read the second book which I didn't enjoy as much as the first so I'm not sure if I will continue on with the series but I'm definitely looking for more romance reads. I listened to the audiobooks of Gideon the 9th and Harrow the 9th. Unfortunately Harrow the 9th is the second book that I did not finish in this series.  Some people or quite a few people I know have not finished the book and others say it's the best when you plow through it but unfortunately I just didn't have it in me to keep reading the book as I just kept getting distracted instead of actually enjoying it. However I do feel like Gideon the 9th which was the first book and I really enjoyed it more than I thought I would. I'd probably give it about four stars out of five. I listened to some audiobooks so I don't have the physical books here so I'm sure I'm going to jump on Goodreads and get the rough blurb for you because I don't think I'll do it justice off the top of my head. The Emperor needs a necromancer. The ninth necromancer needs a swordsman.  Brought out by unfriendly ossifying nuns, ancient retainers and countless skeletons, Gideon is ready to abandon life of servitude and an afterlife of reanimated corpses. She packs up her sword, her shoes and her dirty magazines and prepares to launch her daring escape but our childhood nemesis won't set her free without service. Harrowhawk, non-agonemesis, reverend daughter of the ninth house and bone witch extraordinaire has been summoned into action. The Emperor has invited the heirs to each of his lower houses on a deadly trial of wits and skill. If Harrowhawks see she'll become an immortal, all powerful servant of the resurrection but no necromancer can ascend without their cavalia.  Of course some things are better left dead. I think I absolutely nailed saying her surname. Then I also listened to The Stand In by Lily Chu. This one was really fun to read. It was a contemporary romance. It was a sweet romance. I really liked it and I really like the characters as well. This was an audiobook and I really really enjoyed the story. I didn't think I would enjoy this one as much as I did. I actually got it on audible for free at the moment and it was really really good. So it follows a character called Gracie Reed who is just living a pretty average life. She is trying to fund money to her mum into a good retirement home and she's really struggling and she is fired from her job when she is met from a basically her doppelganger Wayfung Lee and they decide to strike up a deal where she's going to pretend to be this actress to give her a break from this crazy bustling life. However Wayfung Lee's friend Sam, he is also helping out on this deal and he is not a fan which causes some tension between Gracie and Sam who are just trying to help out Wayfung Lee. There's probably a better description of that online but that basically sums it up for anyone who's looking for a really good romance that's really lighthearted and really sweet as well. I also listened to King's Mother Wicked by Carrie Manoscano. I have read her stalking Jack the Ripper books and I really enjoyed them so I thought I'd give this one a shot on audiobook. At first I was on a home shanty short if I would like these books and I'd probably end up giving it a three out of five stars. It did take me a little while to get into it but then I did really enjoy it. So this book for his two sisters, one of them is Bruce Lee murdered and the other one is on a quest for vengeance to find out what happened to her sister. During her quest to find out happened to her sister Amelia ends up using dark magic which also sort of summons these evil kings of hell including Wrath who says he's on her side and they sort of intertwine their path as she tries to figure out what happened to her sister. I am going to read the next book when it comes out. I've actually just pre-ordered it so I'm pretty excited for when that does come out. I think it's still like 30 odd days away. The last audiobook that I have and once again I haven't been to read it for a while and I finally got around to it and then there's The Invisible Life of Adi LaRue. I really like this one. I thought it was really magically written. This one is also by the Schwab I've read a couple of her books this month but this one was fantastic. It's something that was right on my alley. It had that mix of historical fiction, that mix of romance, and really well written characters and a storyline. I won't be able to do this one justice so I'm going to read the blurb of Goodreads. When Adi LaRue makes a pact with the devil she trades her soul for immortality but as always a price.  Adi flees her tiny home in the 18th century France. Beginning a journey that takes her across the world learning to live a life where no one remembers her and everything she owns is lost and broken. Existing only as a news Adi LaRue decides to fall in love with every single day and to one day in a secondhand bookshop in Manhattan Adi meets someone who remembers her. Suddenly thrust back into a real normal life. Adi realizes she can't escape her fate forever. It was fantastic. I would give it another five stars. It's probably one of my favorite books that I read this month. And the last book that I've got is She Who Became the Sun by Shelley Parker Chan. Everyone sends me reading this book at the moment and I picked it up after one of my friends gave it a really good review and I really enjoyed it. In a famine-stricken village a seer shows two children their futures. For the boy greatness and for the girl nothingness. But China in 1345 is under harsh Mongol rule and for peasants greatness only appears in stories. The Zhu family is mystified as to how their son Zhu Chongba will achieve such success in contrast and early death for a mere daughter is only to be expected. Yet when a bandit attack orphans the two children it's Zhu Chongba who dies. Desperate to survive his sister steals his identity to enter a monastery. There disguised as a male novice Zhu learns she can be ruthless to avoid her fate. But when her sanctuary is destroyed Zhu is cast back into the war-torn world. To change her ending there's only one thing she can do. Claim her brother's great destiny as her own. Really enjoyed it and the characters as well. I didn't want the book to end and the ending itself just made my heart clench. It's got really good historical fiction and the writing is fantastic. So that is my August wrap up. I'm reading Benchful at the moment by V.E. Schwab and I'm really excited about that. I'm going to be posting a September TBR video, a bookshelf reorganization video and a book haul video this month. So thank you guys for watching and once again if you've got any more romance recommendations leave them down below for me. Bye!


Welcome to Access to Trader, the number one community for those who are committed to taking control of their trading in order to achieve success, profitability, and longevity. Thank you for joining us. Here's Dan Shapiro to help you find your edge, master your process, and own your future. Hey guys, David here, everybody. Welcome to another edition of theAxisToTrader.com, a nightly update. Hope everybody is doing well. Before we get started, guys, if you like the content, if we give you some pretty good value on a day-to-day basis, and thank you very much for tuning in, all I think is, all I ask is, just like the video and share if you so desire. Comment all that good stuff. So let's talk about the tape. We reclaimed big levels back two days ago. It was that big reversal. We reclaimed back the 20-day moving average. And the next day, reclaimed back to 10, like we talked about last night's video. This was the highest close in its whole formation. And when you look up and you see the final scoreboard is going to reflect the technical aspect of what happened three days ago and what confirmed today. Dow was up at 170 points, S&P up 27 points, and the Nasdaq up 112 points, or 0.75 percent. As you can imagine, the majority of names in the Nasdaq 100s are doing their thing. We talked about it pretty much going across yesterday's board. Amazon continues to look great. Again, we'll get to the pivots in a second. Microsoft continues to look great. Nvidia continues its magic carpet ride. Meta was definitely, definitely the trade of the day today. It broke out. Apple, we talked about in the last night's video, had that reversal. Inside day, rested yesterday. So the market looks good, right? Market looks absolutely good. This is one of those videos that you don't need to spend 15, 20 minutes talking about how good the market is. The market just looks good. And the longer we sit above the 20-day moving average on the Nasdaq 100, the higher probability we continue to go higher. Two things of importance for Thursday and Friday. We have the CPI coming out on Thursday. We have the PPI coming out on Friday.  So is it going to have an effect on what's going on in the market? Of course, is it possible everything we just talked about in the last few seconds gets reversed in the market and loses back to 20-day moving average? Of course, this is the stock market. Everything is on the table. But from the point of reference, from phase value, the market continues to look good. What's great about what we've seen so far in 2024 is the exaggeration effect, right? Usually when a stock breaks out, you'll get a $2, $3 move. Maybe the next day you'll get another $2, $3 move. But there were so many funds last year who underperformed, right? Just because 2022 was such an aggressively bad year and so many funds lost money, a lot of funds just decided not to participate or short the market. Because again, there's no possible way the market could go higher, right? Right? Impossible. No way it could go higher. Especially after inflation readings, especially after the rates going higher and all that stuff. So a lot of funds are playing catch-up. And because they're playing catch-up, they're almost to the point of panic, right? Panic getting into these trades. So usually on a breakout on NVIDIA, maybe we'll go up six, seven points one day. Maybe another six, seven points, maybe 10 points a day. The panic in NVIDIA literally took the stock from $4.75 to $5.46 in about four trading sessions. That's huge. Look at case in point today on META. META did not have a downtick to like $2.30. If you look at the 60-minute view today, META had a massive, massive movement. It finally got a downtick around the $2.30 level. And guess what happened? They bought the downtick into the rising 60-minute support and took it back to the high. So the market is really, really aggressive right now. Funds are pouring into these names. And the question is, what stocks break out next? I'm glad you asked. Even though you didn't, I'm glad you asked. So there's three names, right? Three names on watch for tomorrow that potentially can break 52-week highs, or yearly highs, or 2023 highs, whatever the hell you want to call it. They're poised, right? They're poised and they're ready to go. Let me give you guys a couple of names. First and foremost, you have Amazon, right? Amazon was an awesome, awesome break today. We still have a runner overnight. It's very, very close to December highs. So if they could start building above December highs, who knows? I mean, am I expecting a $10 move in Amazon? Yeah, probably not. But the way the market's been treating these beta names of breaking out of yearly highs, well, it's not out of the realm. Look at Microsoft, right? Microsoft had a huge move today. Absolutely huge move today. Look how close Microsoft is on the November highs, right? It's just the stone throws away. If they could confirm the November highs, maybe Microsoft could pull a NVIDIA out of its hat. You never know. Look at Google, right? There's a lot of names, guys. But these are the names that primarily you have three out of the 10 names that I trade all the time. So look at Google. Google is ready for this whole range, right? This is the range that started all the way back to October, going into December. If they could confirm this range, maybe Google has a very, very aggressive up.  I don't know. You don't know. I don't know. Eventually it will have a blow off top. Eventually we'll have a couple of days of a back test and eventually sellers will take over just because buyers will be in one of those buyer strikes just because they're tied. But other than that, this is a phenomenal, absolutely phenomenal, basically a 10% breakout in the stock in the last three days. So this is really, really strong market action. Even Apple, right? We talked about Apple yesterday. Apple had a great, great, had a horrible, excuse me, three-week decline two days ago. It had an engulfing candle reclaimed back three days worth of selling, rested yesterday, got downgraded, right? Got downgraded, they negated the downgrade, they reclaimed today's channel, and they get a nice little dollar move into the close. So we're set up, right? The bulls are set up. Is it possible?  Absolutely. And guess what? If the market does go lower, there's one stock. And you guess what it is? I've been only talking about it for three days. It's very, very close. Very, very close. So if the market does start to tend to go back the other way and the CPI number is not perceived as healthy, well, we have an answer to that too. And Tesla is incredibly close, guys. Look how close we are. We talked about it last night. This is now day two below the 50-day moving average. All it needs to do is take out one more level, guys, just one more level and clear out this, what is this thing? This is the 200-day, right? This is the 200-day here. If they could clear out the 200-day moving average and any close below the 200-day, there will be a swan dive. So that's what's great about this environment. You have a lot of stocks potentially breaking out of year-to-day highs. And then you have the king of all trading vehicles, no pun intended, setting up to the downside as well. So we're definitely ready for tomorrow's session. The market looks good. Again, the whole Bitcoin ETF saga is going up. Another couple that was it yesterday that somebody hacked their SEC account, talking about Bitcoin is ready. I don't know.  Does anybody really care about this? Right? You're either in Bitcoin or you're not. Is anybody going to really trade it in another look? All these fancy schmancy derivatives, right?  Look, if you want to buy Bitcoin, buy Bitcoin, you're going to start playing with Bitcoin ETFs. It's like the Qs, right? If you want to buy the Qs, buy the Qs. Don't start looking for all these weird derivatives. SQQQQs is like a million different. Well, this is the opposite. But TQQQ, right? If you want to trade the Qs, buy the Qs. So if you want to short the Qs, short the Qs. Don't start buying these creative derivatives. So all I think this Bitcoin ETF is something that I learned during a high school cinema class. It's called a MacGuffin. And all MacGuffin means is when the director is putting something in your peripheral vision that is distracting you from the overall genre, the overall theme of the movie, that's what this Bitcoin ETF is. Maybe it's good. Maybe it's not. I cannot wait to not to trade it. Anyway, guys, that's it, right? That's it. Let's look at some of the pivots today. Again, as you can imagine, very, very aggressive day. Again, the market just continues to be really good. Apple, inside day yesterday, 185.60 needs to build. Apple went right into the close. I was already gone for the day. So if you guys took it, great job. So you can see Apple took out this whole channel here, took out 85.60 and closed basically within the highs of the day. It's trading about 20, 30 cents after hour. So a nice dollar pop into the close on Apple. Tesla got down to the 50-day support, only went down about a buck. I'm watching it very, very closely. Tomorrow, Microsoft went nuts. It opened up at 3.76.30s and just went bananas, went absolutely bananas, opening range highs. Amazon 171 in the pre-market highs. 52.20s needs to build. Amazon was great. Again, we're holding a runner overnight. Just a huge, huge move out of this whole channel. Here's the whole channel here that got rejected. 52.20s several times, pre-market just exploded. Good-looking chart, really good-looking chart. Just like pretty much like everything else. Meta was definitely the move of the day. Even if you sold it early, you made five, six points on it. Meta 361 and 361.90 macro needs to build. Here is Meta, right? Once it confirmed the 361, which was yesterday's shadow, 361.90 was the high from 12.28. All it did was put up a $13 candle. That's it. All it did was put up a $13 candle. Dash, 104. I think we talked about Dash on the video last night. 104 needs to build. Here was Dash, right? Took out 104 area, traded all the way up to 106 and change. So that's it. It's a strong market. It's a strong breakout market. Again, you don't have to be very, very creative here. Netflix, 85, 25 needs to build. Won up a couple of bucks and it died. Shopify, I wasn't even looking at Shopify. I have no idea what it did. Shopify, 81 needs to build. Looks like it traded 81, 81.30. It really didn't do anything. So the moral of the story is, guys, while the market is this strong and the breakouts are working, trade the breakouts. Eventually, the market is going to go through digestion mode. Digestion mode and the channel is going to shrink. And then you have to find different creative ways to make money. That's where we come in with trading channels, the rejections, bath spots, all that stuff. But while it's working, definitely try to take advantage of it. And let's see tomorrow if Amazon, Google, and Microsoft could put on their best Halloween costumes of the video and turn something into something special. Guys, God bless everybody. Tomorrow night is my usual night off. So there will be no video for all you guys who are joining us in the webinar. Look forward to meeting to you. Guys, God bless. Have a good night.


Since the first female enlisted in 1918, the roles of females in the Marine Corps have evolved by leaps and bounds. In recognition of Women's History Month, the Marine Heritage Foundation brought pioneers of women's roles in the Marine Corps to tell their stories. Major Jennifer Moreno was the co-pilot for the very first all-female Marine One flight crew. People we've never met were sending us emails, contacting the squadron. My daughter saw this on TV. My daughter was at this career day at her school and now she wants to be a helicopter pilot because I mean it was crazy. So that told me that it is important, it's important for us to be examples. Major Moreno and the other Marines present said that while they are honored to be recognized, the true honor is bearing the title, United States Marine. From the National Museum of the Marine Corps, I'm Corporal Nick Nevers.


Hey everyone, we're going to be talking about the Switch Pro or is it more correct to call it the NextGen Switch. Very interesting conversation here coming from Bloomberg, but before we get into that I want to remind you to enter our Final Fantasy Crystal Chronicles remastered giveaway for the Nintendo Switch and or PlayStation 4. To enter all you need to do is comment down below, like this video, subscribe to the channel and hit that bell icon. Also, hey, can we get this video to 200 plus likes? I know we can do it.  Hey, in addition to that, if we hit 50,000 subscribers before November 1st of 2020, we will be giving away a PlayStation 5 and Xbox Series X or a Nintendo Switch. All right, let's get into the news here straight from Bloomberg. Let's not waste any more time. All right, so as you see here, this is in the technology section of Bloomberg on Nintendo plans for an upgraded Switch console and major games for 2021. So it's kind of a double whammy here. We got major games and an upgraded Switch console. This is by Takahashi Matsuzuki, who has been proven to have connections inside of a Nintendo manufacturing and all that jazz. He's one of the top guys that has been reporting on an upgraded Switch for quite some time, even though it hasn't arrived just yet. And as you can see here, it's a little screenshot to show different models and colors of Switch. All right, so it says Nintendo Company plans to debut an upgraded model of Switch console next year, along with a lineup of new games. People familiar with the matter said seeding 2020's holiday spotlight to rival devices from Sony Corp and Microsoft Corp. So this kind of backs up the idea anyways that Nintendo is not going to have much this holiday. I'm not saying they won't have a holiday game, but they're not really pushing holiday 2020 really hard. I think I've mentioned this before, Nintendo potentially might just ride the momentum they've had all this year. And then as that momentum dies out heading into 2021, then they just start hitting us with banger after banger. I've talked about this before, potentially having a new game coming out every single month that matters. Anyways, the specifications for the new machine have yet to be finalized, though the Kyoto-based company has looked into including more computing power and 4K high-end graphics. People briefed on the strategy told Bloomberg News asking not to be identified because it's private. Nintendo faces stiff competition for gamers attention this fall with the PlayStation 5 XO Series X to arrive for the shopping season. Let me read that again. The Kyoto-based company has looked into including more computing power and 4K high-end graphics. That doesn't sound like a pro, folks. That sounds next-gen. Let's get into this. The release of the upgraded Switch will be coupled with or followed by a slew of games from Nintendo itself and related outside studios the people said. Those games would address a wide range of players from casual gamers seeking small doses of escapism to more devoted fans putting in marathon gaming sessions. The focus on next year's pipeline explains Nintendo's relatively quiet software release schedule so far this year. So that's really the big stuff here. Let's just go over this one more time. These two paragraphs are right here. These are what matter. This is the crux of everything. The specifications for the new machine have yet to be finalized though the Kyoto-based company has looked into including more computing power and 4K high-end definition graphics. The release of the upgraded Switch will be coupled with or followed by a slew of games from Nintendo itself and related outside studios. These games would address a wide range of players from casual gamers seeking small doses of escapism to more devoted fans putting in marathon gaming sessions and the focus on that pipeline is why they have been relatively quiet this year.  Think about what Takahashi just put out here. Machizuki whatever he would just think about what he just put out there. He just put out there that the Nintendo Switch that's coming next year this rumored Switch Pro or whatever that's coming this reported Switch Pro from a Taiwanese newspaper is actually essentially a next-gen Nintendo Switch. Next gen. Now I want to kind of explain how this can work because there's going to be some fear about a next-gen Switch so early. I understand the fear. I get it. I get why people are worried because we've only had the OG Switch for three years, Switch Lite for like a year and people are going to be all how the hell could they be doing a next-gen already when Switch is just banging and bawling because I was thinking the same thing just yesterday. How the heck would it be a next-gen Switch? You know why? Why would they do that? Well let me explain to you how this works. See I have talked in the past about Nintendo doing a strategy with Switch that to me makes a lot of sense. It is the cell phone strategy where you release a new model or the next-gen version etc of your product more often say every three years three to four years and in doing that it doesn't actually full stop replace the old product but it does what the old product does but does it better. Does that make sense and does it better in a way that's more significant than say a minor bump in power like a new 3DS or whatever. So a next-gen Switch could launch next year but all the games that come to it could still be coming to the original Switch. Does that make sense now? So basically everything would be backwards compatible with the original Switch but it would be like best played here. So think about it like Xbox Game Pass. So Xbox Game Pass at least as far as we're aware right now is officially announced for the first year of the Xbox Series X and the Xbox One co-existing for that first year. All exclusive games that come out on Game Pass will be available to play on Xbox One or Xbox Series X. So what it is is it's best played on Xbox Series X but also exists on the original Xbox One platform not just the Xbox One X the Xbox One the OG Big Fat VCR console. So if Nintendo does a strategy like that then it doesn't actually replace it it doesn't force people to upgrade. But the upgrade is there if people want it and now I want to be clear here we're not getting a native 4K Switch. I know it mentions 4K, more computing power and 4K high definition graphics. That's reference to DLSS 2.0 which has already been rumored to be in the works for the next Nintendo system anyways because someone was hired at Nvidia for the next Tegra chip that was going to feature DLSS 2.0 which is only exclusively in Nvidia cards right now in the RTX series of cards. So that also kind of said oh there can be ray tracing and stuff in the next gen Switch as well. So what we're kind of looking at here is that if this next gen Switch is a thing or even if they call it a Switch Pro but it's basically next gen specs we're talking 3, 4, 5, 6 teraflops something crazy on the go which can be done by the way the technology exists to do it at a power at a watt draw that would still be similar to what the current Switch has. The technology does exist out there. We're talking about a system that not only could easily be able to play next gen games you know from third parties at 1080p, 720p etc. We're talking about a system that with DLSS 2.0 could output a form of 4K that would be indiscernible to most people. DLSS 2.0 is a very very interesting software technique that takes advantage of RTX cores and creates a very realistic looking upscaling effect that is indiscernible to most people. It is one of the best ways to get 4K visuals while only outputting say a 1080p image. So that native image might be 1080p but the upscaling and the work put into DLSS 2.0 is so great that most people can't tell the difference between native 4K and the DLSS 2.0 output of 4K. So this is really really exciting stuff and currently AMD doesn't actually have anything that does what DLSS 2.0 does however they are working on their own version that does something similar but right now they don't so this is like an Nvidia exclusive technology so yeah you could understand what the other systems would be pushing power power power power because they they want to try to hit that native 4K whereas Nintendo can actually get something comparable without having to have that same compute power in the system. Now they're going to have to increase RAM 4 gigs isn't enough need 8 minimum there's phones out there with 12 for crying out loud so I don't think it's unrealistic to expect a doubling of RAM obviously you're going to need more storage at least 64 gigs I would rather see it go to 128 minimum but Nintendo is going to cheap out somewhere and I want to expect you know with them probably still supporting micro sd storage I expect it to probably only be 64 gigs in storage if this is true if Nintendo is really truly releasing a significantly more powerful system let's at least double what the current switches is at the moment then we have to start looking at the real possibility other things are we upgraded as well are we going to have a better screen or it's going to be 1080p on the go instead of 720p it's going to be a glass screen instead of a plastic screen etc etc what's the price point going to be are they going to be targeting 399 is it possible that you know this switch could coexist with the other switch where they leave the og at 299 this is the premium version for 399 is this going to confuse the market that's a whole nother thing to do will the market be confused by having another switch model because you already have the og switch which they don't really make anymore they've replaced it with the red model switch the red box switch right there that's the switch I'm rocking right now that has better battery life that's basically the only advantage you see out of it at the end consumers a little bit better battery life that's like the only switch model they make anymore in terms of the og model switch and then you have the switch light and then all of a sudden you'd have this now we've seen Nintendo have a bunch of different models in the marketplace before we have obviously seen it just with the 3ds you know we had the 3ds we had the 3ds excel we had the new nintendo 3ds the new nintendo 3ds excel it's already four different models right there uh plus the 2ds and the 2ds excel so six different models the 3ds existed we saw it with a ds we've seen them do it with a lot of their handhelds you know game boy had game boy pocket right you had the og game boy game boy pocket game boy color right those are the three that I could think about the top of my mind like when nintendo is dealing in the handheld space having multiple models and versions that are more powerful than each other and and different form factors remember the like the gba they had that the freaking game boy micro for crying out loud like there's been so many um another on the sp and all like there's been so many different uh versions of these platforms earlier this it doesn't really seem inconceivable what what's interesting is the power bump because if we're talking 4k even with the ls s 2.0 it has to have rtx cores to do the ls s 2.0 to even get 4k and rtx cores aren't anywhere near that 2015 taegra chip it has to be a brand new taegra chip to pull this off now we know nintendo and nvidia do have a 10 year partnership we know we don't know if it's been extended at this point it very well might have been uh and we know that they've been hiring for a new taegra chip and right now taegra chips are basically used in nintendo switches and then car navigations and and like you know as like the main backbone behind uh you know the computers that are in people's cars uh so that's been something they haven't really penetrated much else of the market there's also the nvidia shield tv as well which they've been kind of reiterating on that for a while uh probably time to start looking to a new version of that in certain countries like china where it actually is decently popular so yeah i honestly think that this is perfect um for what nintendo has going it'll be interesting to see how the marketplace uh reacts it's gonna be interesting to see how you guys react like are you guys worried are you thinking about buying a switch and now you're like oh wait that's pro models i mean you know you know me at the end of a chance over here i'm day one getting that damn pro model next gen model whatever they decide to call it switch to whatever the hell it is there's also a different strategy for nintendo they have traditionally waited until the console has been milked like to the ump degree and the sails are almost flat lined before releasing a new platform uh they did that with we and we saw they didn't work out well for we you uh they did that with gamecube ended up not mattering because we was a completely different direction we you tanked they cut it short brought switch out uh it'll be interesting to see releasing a new model that's significantly more powerful uh in the midst of the switch being at the height of its own popularity is a very interesting move uh but this is a different nintendo this isn't satura what is nintendo anymore this is shantura furukawa's nintendo he's a businessman he doesn't want to see the sales momentum switch have keep going and then die out and die out and slowly die a slow death over the next two three years uh he wants to see it continue to go and we've heard that the switch is a family of systems which would suggest to me that nintendo was planning to do this all along that they were going to do these every three four year significant upgrades and there might not ever be a switch to per se it could be a switch plus or the switch plus two or what i like they could just literally keep reiterating on the switch but just making more powerful versions to just keep going until the marketplace tells them hey you know what we don't really want this kind of platform anymore uh which it hasn't happened to phones yet people still want these new minor alteration more powerful phones every single year so every three to four years people might want new more powerful switches uh that have slight upgrades here and there may be better joy company better this still compatible with all the old accessories as well all that jazz so it'll be interesting to see what happens all i know is i can't believe in august of 2020 we're already talking next gen switch with like a legit outlet reporting on 4k it's crazy all right folks i'll catch you guys in the next video


so quick and easy that it's so worth it. Like I'm shocked right now. Just wanna gas someone up right now and we're like really going crazy. Very overloaded. Hey guys, what is up? So it's been a long time since I use this angle because I haven't made my OG coffee recipe in a while and if you're wondering what my OG coffee recipe is, it's that latte. If you're like an OG viewer, you know the OG coffee recipe. But I've been having like cold brew a lot lately but I was just feeling like a change. So I'm gonna make that because it's currently 130 and I haven't had a copy yet. I have a lot of work to do today. Like I'm not doing anything for YouTube today besides like filming but I just have like work work to do for my video editing job. So that's what we're doing and I need some energy because I'm finally all caught up with my YouTube and it makes me feel so relieved. Okay, so I just did my makeup and before that I was just working. I was gonna vlog like me working a bit then I just literally completely forgot because I just got caught up into it. But anyway, so it's currently five o'clock and I'm just on the way to go see Lexi. We're gonna just hang out and watch the sunset together. And yeah, because I'm done, I work for the day. So I'm gonna bring you guys along. This is my fit. So these are from, this is my shorts from Dynamite. And then this is, I got this like a year ago at H&M and I haven't worn it in so long but usually I don't even wear colors but I was just like kind of feeling the red today. So I was like, why not? And yeah, we're gonna go to a really pretty sunset spot. So I'll make sure to get video of that. Look at my bean. Look how pretty. Look at how pretty you are. Oh. Also, this is really random but Madison like wax my armpits the other day and waxing is literally the best thing. Like if you can wax over shaving, do it. Especially your armpits because I feel like armpits grow way faster than your legs. Maybe not. I feel like waxing your armpits is just so quick and easy that it's so worth it. We just get like those wax strips in a pack and it makes it so easy and she just did like two swipes on each armpit and I'm good to go. And it's gonna last way longer than shaving. So I would really suggest waxing if you guys can. I'll actually show you the wax strips that we use because they're pretty good. I'm not a certified esthetician over here but I just thought that I'd show you the ones that we use. It's these feet ones. And yeah, it makes it so easy because they're like pre-gelled. Like they already have like the wax on them so you don't need to heat anything up. They're just like ready to go. But yeah, anyways, those are the random but I just thought that I would share.  And the only time that I'll wear like deodorant, deodorant is if I go out and I know I'm gonna be sweating. Because if I'm just like around the house, I'll just put on like a natural deodorant. Obviously like a real, chemically deodorant works way better. So when I'm going out, I make sure to put a chemical deodorant on. But if I remember, I'll literally just put this Victoria's Secret party kiss fragrance mist on. I'd generally own like a real perfume to be honest. I just put on like a body spray. My brother got a few of these for us for Christmas three years ago and we still have them.  So I mean, I feel like when I smell for it, it just like makes me feel more put together, you know? But then I literally always forget to make myself smell good, so whatever. You guys, so if you watched like one of my previous vlogs, you would know that my sunglasses were so dirty and I cleaned them. Okay, I actually wiped and cleaned them and I never knew that it was possible to see so clear out of sunglasses because I always left them so dirty and I never cleaned them.  Like I didn't know that I can see clearly like as clearly like this with sunglasses on. Like I'm shocked right now. Like I'm so dumb for not cleaning them earlier but it's kind of funny. So I just thought that I would document that. I can see clearly now that I clean my sunglasses. Literally everyone would always make fun of me for having like the dirtiest sunglasses and now I realize why. Like I don't know how I did that. So never going back. We're bettering ourselves every day. Okay, I'm just gonna text Alexi that I'm leaving and then we're gonna be on our way. I might need to stop to get gas. Oh, but I don't want to.  But if I have to get gas, I have to get gas. So anyways, oh, it's so hot. And when I first got in my car, I literally blasted the air and I didn't realize that it was hot air and I'm like, why is this not like cooling down? And then I realized I didn't even like press my AC button. So that's the type of day it is. Laundry accumulate once again. And I realized that a lot of the time when my room gets messy, it's because I haven't done my laundry in a while because then I go and throw something in the laundry when my hamper's too full. So then it overflows and everything becomes on the floor. And it's just a endless cycle. And you guys didn't know what to pour about laundry. So we're gonna get her done today. It's kind of embarrassing, but she is very overloaded. So task of today is to do laundry and laundry is easy, okay? It's not hard. Like it's not hard. And you may ask Michaela then why don't you do it? And it's just because I just, I don't know why I don't do it often. I don't know at all. Anyways, we're gonna get a loan in because I can't live like this no longer.  And like I'm so sure about it. And do I end up keeping it up? She doesn't. She did not end up keeping it up. Here we are with an overloaded laundry once again, but it's fine. So now every time I like throw my pants in the wash, I always make sure to check the pockets because I threw my memory card in the washing machine and it was fine, okay?  It was like one of my best memory cards because it had like over 200 gigabytes on it. And be lo and behold, I put it in the computer and she works. Anyways, I don't want anything like that to happen again because if it didn't work, that would suck. Ask, so I got lucky, but now I'm checking the pockets and I don't know how the hell that came out working, but we're not complaining, so.  Let me know what type of vlogs you guys like better. Not that I'm gonna like stop doing either, but like I'm just genuinely curious on what you guys like better or maybe like both. I don't know, but let me know down below because I'm just like genuinely curious. If you guys enjoy both, if you don't like one over the other. Yeah, personally, I love like filming both. I mean, doing more chill videos is obviously, it's more chill, like it's kind of easier to film in a way because maybe the opposite, maybe they're harder to film. I don't really know. Anyways, I like filming the both at the end of the day, but let me know what you like watching. Hello you guys, what is up? So I just need to get pictures for a thumbnail this morning or this afternoon because my video's going up in like two hours and I don't even have like a thumbnail ready.  So I wanna make them a little more intricate.   But yeah, so I'm just going a couple blocks away and I'm just gonna go against like a tree shrub or something just to take some cute photos for the thumbnail because I feel like the thumbnail, it has so much to do obviously with how like your video performs. And so I do not want to cheat out on making a thumbnail because I think that's like one of the main things if you have a channel that you should focus on is making your thumbnails really good because essentially that's what's gonna make people click on the video. You can have the most cool title but if the thumbnail is not there and if the thumbnail is not good then people are not gonna wanna click. It has to be appealing, it has to be clickable. So yeah, that's a little tip if you guys have a channel. Just thumbnails is one of the most important things to be honest. Hey guys, so I have my G7X right now and I'm about to head out. Here is the fit. I'm just wearing like this dress and I'm gonna put a tote bag over top just because it's like so comfy and it's not really like a fancy dress because I'm just gonna wear it with sneakers. I feel like it's just like a really casual dress but I'll see you guys in the car in a sec. I'm gonna even put my hubcap back on. That is sad. Every time I use this camera, I just, it's just so different.  Hold up, I don't have my wallet. That would have been bad because I need to get gas, so we're packing. Okay, so it's currently 2.37 and I uploaded the thumbnail and everything so all that is good but I'm just gonna go meet up with Julia right now and we're gonna get waxed and then we're going to the mall because I just need to pick a couple of things up and yeah, the first pit stop right now is gas so let's get into it.  I have the bare minimum battery on it because I forgot that it was dead and then I charged it like 10 minutes before I had to leave so I probably didn't even do anything. Well, it's alive now, so good enough. I also get so scared that I can't like open my tank because it's kind of hard and it always takes me a hot minute. Also, I'm vlogging really in public right now. Just feeling gas. Just wanna gas someone up right now while I'm feeling up gas. I saw Lisha redo this in one of her vlogs where she does this I feel like.   So, I love you. Also, all the health problems that you deal with every single day and still act like $63 of damage.  Like on a summer Joel, I would never gas up at night or with somebody just because I've had bad experiences and it's just kind of sketchy coming out of your car like that at night. You guys, me and Julia are having a mini panic attack because look at these shorts and look at how freaking cute they are. Like I don't think that they can tell on the camera but like look at how cute. And these are workout shorts you guys. Like me and Julia like have been wanting to go to the gym more often and are like doing a gym plan and we need like shorts to motivate us. Like the red, the red. I feel like I want both.  And we're like really going crazy. Like we're actually, Julia was literally shaking. Like we were walking past the store and we're like, okay, do we go in? Do we not? Cause like every time we like freak out because like everything is just too nice. Like we want to get everything but everything is like over 50 bucks. I really thought I would go in and be like, oh no, this is all too expensive. I don't want it. But now I'm dying. No, it's these pink shorts that we can't resist. Seriously. We look cutest in whatever it is. People say they're addicted to like weird, like actually we like- Digged it's a shopping. And digged it's a shopping. Like we literally just spent money on a rock. You see, Michaela stuck to her thing. She came here for gray shorts. I came here for absolutely nothing. And I left with three things. She left with more than me, which I'm looking here for me. Yeah, I didn't even come to shop. Yeah. I was like, I'll look. No, I can't look. I don't know how to do that. Yeah, she doesn't. We actually have shopping addictions and it's actually bad. I can't go to the mall without buying stuff. No, you have to rip my wallet away. And even if you rip my wallet away, I'll find a way to get it. Like it's so bad. Okay, so I just got home from the mall and I'll give you guys a haul and we're inside. Cause I mean I didn't do bad. Okay, I actually like, I could have done a lot worse. But I'll explain that more when we get in. But I bought Joel a pair of shorts on H&M that I'm gonna give him a little surprise, little gift. So these are the shorts. And he has like the same color hoodie. So I thought it would be cute cause he can like have a little matching tracks. So look how cute would that be. So we're gonna go give him a little surprise. I don't need, I'm not gonna wrap it or anything, but I'll just like give it to him in the bag and be like, here you go. And then yeah, and I'll film it for you guys.  Keep the relationship fresh. I don't know if fresh is the right word. You know what I mean. Anyways, let's go surprise him. I can't be on camera. Okay, so Joel just got out of the shower to see a skateboarding and I shouldn't be on camera. I think something up at the mall for you. For me? Yeah, it's a little good. The gift for me. Yeah, it's not for emergency, it's just not for emergency. Oh, I would hope it's not for emergency. What else is it? Oh my God. Is it, is it the new mountain bike I've been on? Oh my God. Yes, yes, yes. I love it. They're perfect. Let's try them on. You match your hoodie, so you can match your tracksuit. Oh, they look good. So this guy at the mall, when I was looking for them, I was like, he came up to me and realized that I was buying for like a guy and he was like, what size waist is he? And he was like helping, he was helping us. So it's kind of funny. Girl, I don't even know my waist size. I know, I was like. I was just the same ones as your great ones. I know they're a little different, right? They're different material than all of my shorts actually. Okay, so I'm gonna quickly give you guys a little bit of a mall haul. So I know we were obsessed with like the pink ones when we were there, and then I ended up trying on the pink and the red, and I couldn't resist the red. It was just like, I don't know what about it, but like, they're literally so cute and I don't know what it was about the red, but everyone was saying to get the red. So I was like, you know what? Yeah, and they're less see-through than the pink, so I actually kind of want to get them in every single color because they're just that nice. So these are from Mauritia, and then I got these just like gray shorts from Garage just because I realized that I didn't even have like a good pair of like just like plain gray sweatshorts because my other ones are like really short. So these ones are like the perfect length. They're nice and loose and comfy. So I just got these. And then I just got, I don't have it with me right now, but I just got the Island of Paradise self tanning drop. So I'll test those out and let you guys know how they are. Also in Mauritia, the worker that was there that was helping us, we had such a good chat. Like she was so nice.  You guys are so young. Like just go for it. You have time in life and it's so true.


Hi, everyone. Let me start off with a few quick questions. Please raise your hand if you are using an Android phone. OK, OK, not too bad. Please raise your hand all the iPhone users. OK, we have some Apple fans here. Please raise your hand if you are using a Nokia phone. Woo! Wow, OK. Please raise your hand if you are using Face ID, or whatever the name of the equivalent Android technology is. Keep your hands up. And that's the interesting part. If you think that your face is a better, more secure login mechanism than the old entry-minute-few-digit passcode. OK, thank you very much. My name is Roy. I'm a security software engineer at OnBackup. And I don't know about you, but when I got this question first, I thought to myself, that's a no-brainer. Of course, my face is more secure than a short combination of a few numbers. Isn't it? Well, I saw that most of you agree with that. So now you really have to stick around until the end of the presentation. I promise you some really interesting results. Let's go a couple of years back down in memory lane. I still remember when my dad, who's actually here today, hi, dad. Woo! I remember when he bought his first iPhone.  But for me, as a child, who was fascinated by technology, that was something else, something from science fiction movie. And I remember messing around with it, downloading some apps, playing Angry Birds.   And then, after a few short seconds, well, nothing. Of course, the app couldn't do anything. I remember verifying it to myself by putting one finger, and then my nose, and check if they have the same fingerprint. Couple of iPhones later, we did get a fingerprint sensor at the home button.  In the meanwhile, I started my bachelor's degrees at computer science. It was the obvious path for me. And it was around 2017 when it was time to choose the subject for my final project at university, when Apple just introduced the new iPhone X with the new awesome Face ID. And at that moment, I knew. I knew I had to dig around it.  Today, I want to take you all to that journey with me. We will start off by creating a system just like Face ID and understand it. Then we will try to break it and see how secure is it. The system seems pretty intuitive, right? All you have to do is take your phone off your pocket, look at it, probably not as excited as this dude, and then some magic, some black box that you always assumed has to do something with deep learning decides if to keep the phone locks or unlock it for you. Let's try to understand and think how we can implement this black box. We need to create a system that can use a face and create identification vector out of it. That's why it's called Face ID. We can think about then either way to do it. We can use all sorts of features describing the face, maybe stuff like the length of the nose or the width of the face and the skin tone. We can use more complex, more unique features, stuff like maybe the ratio between the shade of the eye color and the shape of your lips. We need to decide which feature exactly we want to use and how many of them. We know that the usual magic number in the industry for such things is 128 features. So let's go with that. So now, hopefully, we have a feature vector that describes the face pretty well. We can save it inside a phone and use it. So on the next day, when our user tries to unlock his phone, all we have to do is scan his face again, get a feature vector and compare it to the one from yesterday. Well, that's not that easy. Faces are really hard to walk with because faces are always changing. We can take images from different poses in different angles in different lightings. Our hair gets longer and then shorter when we take our haircuts. Our eyes can get red and swollen after a sleepless night of coding. And even our nose gets longer over the year. That's why we need a really strong solution here. That's why we want deep learning. But before I continue talking about deep learning, I want to align everybody here on the room on the same page. I want us all to have the same terminology. So let's start off with the basics. Machine learning. Machine learning is the name of the field in computer science. When we want the computer, the machine, find a solution by itself without us giving it the solution without us coding it, we want the machine to learn the solution by itself. It's usually involved with a lot of mathematics and some ideas we are borrowing from different fields like biology, evolution, and so on. I won't bore you with the mathematics behind of it. That's not really the point of this talk. But I will try to give you some intuition about how this stuff really works behind the scene. And together we can understand the entire solution. The next big thing we need to talk about is neural network. Neural network is the base building block for everything we see in recent years in AI. But don't worry, it's simple enough that even babies can understand it. The idea behind neural network is that we're trying to create some sort of a brain to our machine. This is not really how the human brain is working, we're just borrowing some ideas like neurons from it, but our brain is a bit more complex than that. The idea here is we're having those nodes, neurons if you will, containing some information. And by passing that information from one node to another and having a huge web of neurons, our brain here can actually learn stuff. We're creating a network out of it. We're ordering our neurons in layers, we got ourselves the input layer here in blue and the output layer here in purple. And the network is built in such a way that each neuron has some effect on all the neurons on the next layer. This effect can be a stronger effect or a weaker one, or it can be a positive effect or a negative one. Still doesn't make a lot of sense. Let's try to make a bit more sense of it with an example. Let's say your boss come tomorrow morning and say, you need to solve a problem.   So for this life-threatening task, you choose to use neural network. You got yourself two inputs. You can see the color of the snake that's pretty easy to see.  So we've got ourselves the following network and we need to train it. We provided a lot of examples we collected over the years of different snakes and the network is adjusting by itself the weights, the connection between the neurons. We might by the end of the day find a network that look a bit like this. This still doesn't make a lot of sense. Okay, this is a safe space because this is your Python so I feel like I can share it. We as a developer has a secret. We're really good with coming up with excuses if our code succeeded. So let's try to find some reasoning here. We might say that the first neuron here is some sort of poisonous detector or venomous detector. I actually showed this presentation to a friend of mine a couple of days ago. He's apparently really into snakes so he told me that poisonous and venomous it's not really the same, but shut up, that's not really matter here. So we have the poisonous detector here. We consider is some strong positive correlation between the length of the teeth of the snake and the poisonous detector. That make a lot of sense. If you think about it, snakes inject the venom to the victim using their teeth. So longer teeth mean that the likelihood of the snake in front of us being poisonous, it's high. We can also see there is some correlation between the color of the snake and the poisonous detector. If I ask you right now to imagine a poisonous snake in your head, can you do it?  So if our brain found some correlation between the color and the poisonous detector, that makes sense that the neural net will find it as well. We might say that the second neuron is some sort of a sizing indicator. It's give us some indication about the size of the snake and that the third neuron is some sort of a pattern detector. We know from evolutionary standpoint that snake with darker color and shorter teeth need to evolve with some different defending mechanism. So they probably evolve with warning patterns on them. They need to repel the enemies in some other way. So this network will never learn anything about evolution and other things was still able to find the three different cool deduction about snakes. So now when the network try to decide if the snake in front of us is actually a python or not, it can just combine them together. If the snake in front of us is likely to be a poisonous snake or venomous snake, it's not likely to be a python, python or not venomous snakes. On the other hand, if the snake in front of us is huge and has some cool patterns on it, it's probably a python. Okay, we cycle all the way back to deep learning. Deep learning is just the idea of taking neural network and add more hidden layers. That's the name of the layers between the input and the output layers. The more hidden layers and neurons we've got in our network, we can go deeper inside the learning process and find more complex pattern inside our data. So we can solve more difficult problems with that. A known example for that is Amnis, where we try to identify which hand width and digits we see inside of an image. I took this awesome animation, by the way, from the three blue, one brown YouTube channel and I really recommend to go to his channel if you want to learn more about the mathematics behind all of it. So we know what deep learning is, but there is still the open question about how we can use it for facial cognition. Luckily, we have another trick down our sleeves. We can use a different architecture of a network. This type of network will encode a decoder network. Sometimes it's also referred to as autoencoder networks. The idea here is we're taking some information in big dimensionality, in this case, six numbers, one, two, three, four, five, six. And the network is built in such a way that when we pass the information through the network, we're getting the same information on the other side. We're getting back, one, two, three, four, five, six. The trick of the network is that in the middle of it, we have a compressed layer, a layer with lower dimensionality. Meaning our network here had to somehow learn some patterns inside the data, and now it's able to compress the information and decompress it later. Let's try to think of it from a different point of view. We want to walk with images of faces. Now, images are actually a combination of a few million pixels. But we also know from the old saying that a picture is worth a thousand words. So let's think of it as somewhere in between. We can imagine this network as two friends playing a game of charade. The first friend is some sort of a poet.  The sky was blue, the sun was rising, and so on and so on. The second friend is some sort of a painter who read a poem and try to recreate the original image. The two friends are actually really obsessed with this game. So they are training and training more and more until they get really good at this game and can recreate any image just using the poem and the painter painting it. I'd like to think of it a bit like how the police can do sketch paint.   I can draw faces. I can maybe draw a smiley face on a paper. But by sitting together with the police sketch artist, we now can both achieve our goals. All I have to do is describe the face to the police sketch artist in a meaningful way, describing the most interesting features that the sketch artist know how to draw. So I start off by describing the different hair for the criminal, maybe from a pretty fine list of hair starts. Then I can describe the criminal eyebrows. Then I describe his eyes, the colors, and maybe some glasses if he had any on him. Then I move on to describe his nose, the mouth, and the relation between the two, and the police now has this painting of John Lennon and Ken arresting for some bizarre reason. So let's do the same in our encoded corner network. We train our network to take an image of a face and return to us the same image from the other side. The network had to somehow learn how to compress the information about face into the most meaningful feature, how to describe it. So it's maybe found out stuff like noses, eyes, and mouth. We don't really know what the different feature is. We never really train our network to look for noses, but we know we are getting here a feature vector, size 128, which describing the face. So with a good description of the face, we can now move on. We can break our network into the two parts, the encoder and the decoder, the poet and the painter. We don't really need the painter anymore. We don't care about recreating faces. And we left with an encoder network that can take an image of a face in and provide us a feature vector to describe it. Okay, but how do we compare different faces? So let's talk about the face space, which is a really cool name for a movie or something like that, if you ask me. So we said we have a 128 feature vector. Let's reduce it into three-dimensional because our monkey brain can really comprehend anything more than three-dimensional. And we left with the face space. This space here describes different faces. We can think of each of the exits as something that describes a different feature. Maybe one of them is describing the nose, one of them the width of the face and so on. So now when I want to compare two different faces, all I have to do is look at the feature space. I have my original image that I took on the first day when I bought my iPhone. I got some point in the space. Now to compare another face and check if it's me or not, I have to allow some tolerance here, some distance that I'm saying it's still me. So I'm drawing a sphere around this ball. This is actually Euclidean distance for those of you who did some mathematics. So now when I have another scan of me, me tomorrow, for example, I can just check if this point is actually inside a sphere. If it is, great, I can unlock the phone. If one of you try to take my phone and access all my private stuff, you'll probably get a point further away. So you're not inside a sphere, you can really access my phone. Let's try to make it a bit more concrete with an example. We wanted to check how closely Steve Jobs is actually looking to Ashton Kutcher portraying Steve Jobs at the Jobs movie in 2013. We wanted to check how good of a casting it was. So we compare the different faces using our method here. We saw that picture of Steve Jobs against himself over the years were actually pretty close to the original Steve Jobs image we used, well underneath the threshold. So Steve Jobs can unlock his own phone, obviously. But Ashton Kutcher on the other hand is not very far off the threshold, but is off it. So you can't really use Ashton Kutcher face to unlock Steve Jobs phone. And I know what you're all asking yourself right now. How my face is comparing to Steve Jobs face? Well, my face is right over here. So you can see that they actually did a pretty good casting, they found someone who pretty good looks like Steve Jobs. Okay, let's do a quick recap. And if you lost me so far now, it's really good time to come back. Now we can create a system just like Face ID. We have a system that scan the user face, provided information to the encoder network, and we are getting back a feature vector that describe the face. And we know it's a good description of that face because in some alternate reality where we still have access to the original decoder, we can recreate the picture of you and only you just by looking at this feature vector. So with a system just like Face ID in hand, we ask ourselves, what could go wrong here? How can we break the system? So we thought of ourselves quite a bit until we ran into this face. You all probably seen this face before. It's a face that was generated by computer in a 2014 research, and it's supposed to represent the most generic average white male face. We thought of ourselves, what does it mean that a face is really generic? What will it do to a system like ours when we provide it an average face? So we ran an experiment. We collected a huge data set of faces, a lot of faces, thousands of them. We choose a smaller subset of faces from those faces, and we ran every face from the smaller set against every face in the big set. We wanted to check how many heats can we get, how many phones can each face unlock. We got some pretty interesting results. You can see that most faces got exactly one hit. They were able to open exactly their own phone. No surprise that some faces got a bit more hits somewhere in between two and four hits, which is fine, but this one face here at index 27 got more than 15 hits, which is insane if you think about it, and you probably won't be surprised to hear that this face is actually the generic face one before. So we had a strong hunch that something is going on in here. We started collecting a lot of information about the different faces. We started collecting all the different feature vectors of all the different faces, and we ran some analysis tools over them, some complex, mathematic models over them. And we got ourselves the distribution of each of the features. Most features were normally distributed, which if you think about it right now, might not make a lot of sense, but if we think about it a bit more, it's making a lot of sense. The network is probably taking the same shortcuts we do as humans. When I try to identify one of my friends, all I do is look at their nose, their beautiful eyes and their charming smile, and I know who I'm talking to. So the network probably doing something very similar, it's probably looking at those features. If for example, the network choose to use something like noses, we know that noses are normally distributed. The average nose size is five centimeters, or two inches if you don't believe in the metric system, Americans. And the average nose size is moving from somewhere in between three centimeters long and seven centimeters long. It's very rare to see a nose longer than that. So we still don't really know what the different features are, but we now know the distribution of each one of them. We know the probability of getting each value there. Let's do a quick side note. A brute force attack is an attack where you try all the different combination of passwords. You start off by hitting one, one, one, one, one, one, one, two, one, one, one, three. This was hand animated by the way, so I hope you appreciate that. You try all the different combination of passwords until you get the right one. In the case of a four digit password like this, you have 10,000 possible combination. You can go with slightly more sophisticated variant of that attack, where you try the most common password, which is one, two, three, four, and you walk away from the most common password to the least common password. The password will be the most probability of getting hits to the one with the least. Okay, what if we could do the same for faces? Well, we just saw the equivalent of one, two, three, four in faces. This is the generic face when we thought this is the face with the highest probability of getting hits. So with the knowledge we just gained about the different distribution of each of the feature, we can do the same. We can sample faces from the distributions we just found and find ourselves the most common face, and we can walk away from the most common face to the least common one. So let's do brute force attack on faces. All we have to do now is build the attack. As we said, we had an encoder-decoder network that was split into two parts. The original encoder is some black box now that we don't really have access to anymore. We can just call it and get the results, and the original decoder is gone. So we had to switch things around and create a new network. This new networks take as an input a feature vector and create an image of a face out of it. Then we feed this image to the black box and getting back a feature vector. And we train our network in such a way that if everything went on correctly, we're getting the same feature vector that we started with.  You can see here some random noisy image and some random numbers that correspond to it. But over time, our networks got really good at producing images of faces. You can see it's first got the general shape of a face, then it was able to composite the different features of the face like eyes, nose, and so on. We got a network that got better and better and now is good enough that it can produce images of faces that not only fool the encoder to think that this is a real face, but the encoder think that this face is actually have the same feature vector that we started with. We can control now the input to the system. Okay, I promise you some really interesting results at the beginning. The results I'm going to show you now, it's really shocking. So hold your seats really tight. We were able to get successful logins 13 times in a million attempts. One in every 100,000 attempts on average got successful login. Let it sink in for a moment. That's just like guessing correctly, a five digit passcode. This is insane. Okay, here's the attack. You and I won't be fooled by those faces. We can tell those are fake, but by generating 1,000 and millions of those generic average faces, we were able to get some hits.  By the way, if you stop on every of those faces for more than one second, you can probably see someone you know in them. Maybe it's your friend, maybe someone to sit next to you because those faces are really generic. You can see a lot of people inside of them. So we got to the real side conclusion that no one is safe. Well, I have a couple of exclaimers about it. First of all, it's really important to say that this research was educational only. We ran it inside the university by a system that was provided to us by the university, where everybody signed an agreement to allow us to try to hack to their faces. So we never really ran it against the real world. We never really ran it against Face ID. It was never really the point. Face ID is too much of a hustle to walk with.  Also, we don't really know if Face ID is walking exactly the same way. No one ever really disclosed how Face ID is really walking behind a scene. Another thing that is important to say is that this entire research was conducted back then in 2017. Meaning we didn't have access to all the latest models and we all know how quickly the field of AI is moving nowadays. So they probably got better results by now. They probably have more secure models that can prevent such an attacks, right? Well, the other side of the same coin is that if this entire research was conducted in 2017, we didn't have access to all the latest models. And nowadays we know a lot more about generative AI and deepfakes and we can probably make our attack even better and fool the most sophisticated system that they are today. One last point I would like to make and this is a question I'm getting a lot. What about 3D images? The original Face ID is walking with 3D camera. Well, we believe that our attack here is really generic and can fool the system as well with sound-tweaking to them. If you think about it, the system doesn't really care about the raw information it's getting. It doesn't really care about the 3D information. All the system is care about is the compressed information we're getting from the encoder. So we believe that with sound-tweaking to our system, we can now change the attack to get us 3D images that will correspond to the same feature vector that the 3D image will. So we believe we can break to those systems as well. Okay, thank you very much. I hope you learned something new today. In this cringy animation, you can see me and my partner in crime in conducting this research, Roy. Yeah, we are both named Roy. Feel free to come by later on and be outside or just send me an email with any question. Thank you very much. Thank you, Roy, for shedding some light on how the devices on our pockets essentially work. We won't take questions on the spot, so please give another round of applause to Roy.


Good morning guys. Is it good morning? Is it good morning? Good morning, are you hungry? We took a bit of a break with the channel. Most of you know we've had a few changes in life, but more on that in another episode. So, as a catch up, you guys will be with us all day. We're gonna show you a day in our life. I mean, how exciting is that? Do you think it's as exciting as we think it is? Before jumping into our day, we wanna thank Clorox for sponsoring this video. And during this new normal, we wanna thank the heroes like doctors, nurses, who are caring for others, especially those who are juggling work and care-giving for their children too. They inspire us to do our very best in looking after the well-being of our kids and family at home. We're out and about a bit more in the world now with Adam going to work and us doing the usual things like grocery shopping. So, we wanna make sure to create an extra clean, you guys know me, environment at home to keep it disinfected from germs and bacteria. I mean, like that. Especially now that flu season is right around the corner. Twice. And in a row, it's time to get dressed for school and make some breakfast. You guys ready? It's time for school. And our kids still can't go to their actual school just yet, so they are here online. So, we get everything clean and ready for the day. And we trust Clorox Regular Bleach to disinfect while we clean it, kills 99.9% of germs with only one-third of a cup. We use it on all the areas where they are actually going to school right here and places around the house where we know they'll be throughout the day. We actually premixed this cleaning solution following the instructions on the bottle and we only use it on non-porous surfaces. We keep it on here for six minutes and then rinse and wipe it off with a new cloth. Then we know it's all disinfected. When it really matters like it does for our family and yours, trust Clorox. And we're ready for the day. Okay, so my new normal now, along with probably everyone else, is working out at home. I used to go to the gym a lot. Now I have made my bedroom, my gym. I'm getting a workout just doing this. Stop. Just as it is important to stretch after a workout, it's really important for me to get a workout. It's like my me time. I think it's really important when you have everyone kind of like living on top of each other that you find time to take care of yourself and give yourself space. All right guys, it's time for school. This is our classroom, the kitchen. You guys doing good? Yeah. Nice job, guys. It's great about having my herb garden right here. It's like from water. Check out the little buggers right there because they're still staying engaged in school. It's a weird way of doing school, obviously, but we do what we gotta do, right? Peppers up there, you can see the pepper plants going. Every plant has some stuff. It gets new zucchini growing now. I kind of keep trying to revitalize the garden to go along. All organic garden. That's why the rabbits, I think, had a field day this year and a squirrel. A squirrel, imagine that. Oh, well, a bugger got up there. He climbed up my plant and ate it.  Let's talk about being a mom and getting ready. The time that you have before you have children is definitely not the same. I probably have about 10, 15 minutes. My husband and the kids were always on the go, go, go, go. So I'm always thinking of really cute, quick hair and makeup ideas. This is always gonna be a really, really, really chic look. Just a headband, okay? So what I do, you see a terry cloth towel on right now. Oh, and I always like really cute staple tops. I feel like when I don't want to accessorize too much, just have a really cute top and you'll be fine. I wash my hair, put conditioner in it, and I have a terry cloth towel. And what that does is it cuts the dry time in half.  Mama don't have time today, so I'm just gonna put it in a bun. As you can see, I parted my hair in the middle. That's kind of like classic and it's always in and it looks very, very chic.  I feel like they will be classic forever. It doesn't matter what, you know, year it is, what season it's always gonna be in. I'll cut quick and easy, that is, you guys. And because I let my hair soak in all that conditioner, I also put a leave-in conditioner too. It's really easy to comb out. Detangling is very, very, very important for your curls. And then you add a really cute headband and boom. Hair is done that quick. I wash the cars each Monday, Tuesday, so they're clean for the week. And their vacuums are bought. Way better than my home vacuums. I've always wanted one on car, but it's cool to have a high-powered industrial vacuum. It's kind of a cool idea to be able to wash, and then go wash every day if I wanted to. It's an unlimited wash program. I should have thought of that. Now, on to the makeup. We always start with a little gloss. Keep those lips like moisturized. I like to put a little serum on. As you can see, I'm moisturizing everything. We're gonna put some more sure. You can see this gives it that glow that I want throughout the day.  Guys, you can check out my skincare routine to see everything that I do.  Always up. I'm already teaching her. Okay, you see that beautiful glow? Let's keep that glow going. Put a little mist on. This is all you need. Some concealer here, here, here. Kind of like they call it your T-zone. I do it a little bit more. You don't have time. You just like, your fingers will always do. When I was younger and my sister and I used to do like photo shoots, the makeup artists used to do everything and I mean everything with their fingers. I don't reply. But it always looked like so cool. And look, all I did was put concealer on, right? Underneath the eyes and the forehead a little bit. Like so, do my little mirror face. Anybody who knows me, they know I love the lash. But again, we're going for a soft, natural look, everything with the fingers. And if you want, you can also put that on your eyes. Look, bam, it just woke me up, right? Can you see it? We don't have time for lashes, nope. So we're just gonna clamp, clamp. Oh, she's not asleep.  I didn't have to do my mouth like that. Oh my God. Done. Another thing I have to do during the day is I have to get supplies for the tasting room. What I do on a day-to-day basis is make sure I fill up the car with shippers to get them back to the tasting room and put the wine inside to ship out to people who order. Now it's time for the work day. Oh, boom, there it is behind me, over there in the distance. You can see it right there. And that's where the next part of my day begins or continues. There's always something to do. Beautiful day here. And basically, this is what I do day-to-day once the kids are done with school. It's always something, so now, day in the life. Here it comes, here it comes. Oh, go! We hope you enjoyed seeing a bit more about our lives. Let us know in the comments down below what else you'd like to see. And thanks once again to Clorox for sponsoring this video. All right, guys, what's for dinner? What do you want? Forget subscribe, too? Subscribe.