How are you? Dude, every, every week I get you doing something.  I got time to take this drink and then we'll start. And then it's like right in the middle of everything I ever do.  I'm like, I swear to God, bro, I have to trim some of this zoom, man. I'm sorry, Faye. I'm trimming a little bit.  I got 398.  All right, cool. Had to lock in an easy 500 bucks, man. I trimmed a little. Sorry, sorry. I had to trim just, just a hair. All right. Where are we in questions? If you guys have questions, reach out to us now. This is your chance to ask anything, guys. Literally anything. Who has questions for MIC? Do you have questions for us? Hang on, bro. Y'all don't chew ice in New Jersey? What's that? Alex is like, chew on ice only in tech. Y'all don't chew ice in Jersey? Y'all, people don't chew ice there. Dude, I've been like, like the, my, uh, I'm like, dude. Bro, dude, ice cubes getting some serious backlash in the media these days, man. He liked back Trump because Trump was willing to work with him. And then, you know, oh man, like people are hating him right now. Oh, bro. I didn't even pay attention to who the celebrities supported. I was like, I'm just going to cast my vote based on who I think is best. And let's move on. Yeah, for real. I hear you. It's not like my vote counts anyway. So Apparently not in the Dominion voting machine.  The funny thing about Bowman is if you guys like ever hang out 20 seconds with him, he's like arguably the funniest person that's ever walked this God's green earth. But the thing is the thing that's the best about him is he's like, he's as quick as a fricking dude. He's as quick as a fricking cat, man. Like I don't understand it, dude. Like anytime you say something, he's literally got something to say about it.  That is the most on point person with humor. If you think his trading is good. Yeah, dude, I think I think everyone that has a TOS account just thought we all filled something out of nowhere. Like, because when you filled that ZM order, when I trim some zone, yeah, it goes and I was like, God, fuck, dude, I forget to order somewhere. Everybody's looking at their screens or I did, I literally checked. I was like, well, oh no, it's fine. Dude, dude, it's so funny.   But if you're doing small caps, there is no substitute for Cobra training, dude. There's like, if you're in and out of like DNK and things like this, where you need shares to get guys, you're not trading with TD Ameritrade. This is only and maybe not even then sometimes. This is like if you go long. And the only reason why I still have TD is I'm obsessed with their mobile app. I can see charts as clear as day and I've been using it for seven years. So it's so hard to like, I keep some money in there now just for fun, man. Like that was a fun little like hybrid scalp there today.  So, Val asked a question with ZM on the big cap watch list today. Now go to the watch list channel. Let's show everybody what this is. We'll give everybody a preview. I give out a watch list for large caps. So if you're new to large caps and you're not kind of up to date on, you know, what to watch, what to look for, stuff like that, there is a watch list every day. So, or most of the days, I'm not going to say every day. I put out a watch list when there's something worth watching. Okay. Not every day that we don't need to trade every day. We don't need to do these things every day. We don't need to find a play every day.  Well, well, well, let's not go that far. So today throw up PLTR and NIO. One sec, buddy. Two day trades for today. Let me blow these up for you. Okay, hold on one sec. Okay, which ones? PLTR. PLTR and NIO. Yep. Cool. Let's see what you're talking about. So if you draw PLTR, 1750 line. One sec. 1750. Hopefully you guys can see why Joe is even drawing this line. Do I look at this for one second and know why he's drawing this line? There's another reason, too. You just don't have them loaded. But yeah. So next line, 1850 on PLTR. And I just want to walk you guys through this really fast. This is not a complicated process, but I made two plans during pre-market for this. I said 1750 and then 1650. 1750 is the first line, so I'm going to use less size, but I'm going to take the trade. I'm going to use less size there, because the odds are lower at 1750 than they are at 1650. The better bounce is at 1650, but you can still take a decent trade off to 1750. These are the long trades, not short trades. Don't even need the locates, fam. Don't even need them. Don't even need them. PLTR, long off 1750 and then boom, bottom tick. And then if you miss that trade, we want to see a type of continuation, but range is forming at 1850 now. I was saying this during pre-market. So if we form a range at the open and we get a break of that range, I'll long a break for the continuation higher. You look at the break over 1850, screams all the way to nearly 1950. If you long 1750 and sold along the way, I mean it doesn't get better than that right there. And if you sit back and you wait, all day in IO, this is looking more and more like a short 45 potential support at the moment. 45 is a support level, okay? So in the morning, that means I'm not interested in shorting it unless we have a push to 47. Where did we top out? Right around there, brother. 46, 70. All we had to do was draw our levels. All we had to do is draw our levels and play from there. And if you look at NIO, you would have started around 4650 and scaled to 47 because 46 and Tosh doesn't have this, but 4650 is the previous closing price. So it was going to try to go red-green right there. So you had two potential resistances. And so it's, dude, it doesn't get, it doesn't get more simple. It doesn't get more simple. All you got to do is follow these levels.  It's like, it's literally, I don't know why so many people are still struggling traders, but all you got to do is follow Alex's list, follow the large cap list. If you're not into that, there's a room for everyone. There's something at somebody everywhere. Right? Right? So you just said it, man. You said as best I could. You got more than luck. Dude, that was the best character in high school, man.  How do you look up fills on TDF? I forgot. Hold on. Filled 4758, not bad. Dude, right on the lines, baby, right on the lines. Bow posted the lines. The whole point, guys, is you have it. I got Tesla on the screen. Dude, I'm pissed. Look what Faye just said. I just said I sold it for 1758. She freaking sold it for 1833. Dude, she one ups me every time. So here's it. We have a running joke. We both got in a Zoom. We've been playing Zoom due to like a week because we've been talent partners, right? And literally we have been playing Zoom for a week in another account. Faye and I are long Zoom and I have a 371 average. And I thought I'd beasted on her. I was like, Faye, I got a 371. She was like, bitch, I got a 370.   Of course, Faye, dude, of course. That's what Asians do to us white folk. Dude, man, the Asians run the world, bro. I'm telling you. They just won up us. They just, they just won up. Whatever white man can do, I can do better. And I'm like, damn it. Anything that you're good at, just know there's an Asian out there doing it better than me. Doing it better. Doing it better. Yep.  Faye destroyed my exits. Guys, questions, questions. Do you have questions about lines? Do you have questions about what it means to be an MIC member, even though we kind of just gave you an hour description on that. Do you have questions about the signing up process? Do you have questions about this is your time to shine, man. Hit us. YouTube as well. Anybody and everybody on YouTube, you have the opportunity to ask questions there. Put it in the chat. Guys, and don't be shy.  But if you're not a member, we're not going to judge you on whatever your questions are. There's no dumb question. We remember what it was like to be new, man. We remember. So we're here to guide you, man.  So right now, guys, we're coming into the last hour of the day. This is called trash hour, power hour, whatever you want to call it. I call it the shorts lose their edge hour because this is not the hour where you want to be opening a short position, especially something that's strong like this. If this was a small cap, if this was a big cap, this is not the time you want to be shorting. Yeah.  What do we have on the old small cap place today? What did we have?  I just tore them apart. We had SCK. Oh, we had a DNK and SCKT, I guess, right? Hey, let's go through them. Let's go through them. Joe, dude, what do we talk about every single week, bro? What do we talk about in the open? Tell me. Oh, where is it versus VWAP? And where, where did it reject? Yep. Yep, dude. It's like, are you kidding me? Then we had DNK. Check this out, bro. People wanted to short this pre-market, correct? So when people wanted to short this pre-market, here's a lesson for you guys. A really quick lesson. I'm not going to go into it because it's a free webinar, but let me show you this. If you are just looking at this pre-market, hey, yeah, you know, it's breaking down a little bit. Maybe I was shorting your previous resistance. No, no, no, slap you on the wrist. You need to know that it ran, gapped up in his total front side with no stuck shorts for two days. So this little- It's a day to gap up 50-50 on VWAP. What? Who's in control?  Dude, exactly right, right? So you have to wait for outer lines. So here's the thing, but not only outer lines, man, because this is a multi-day runner and because they had the strength on it, because there were no stuck shorts.  That's what I'm saying. There's no stuck longs by the open. When you have something like this, what was I screaming at people in chat all day? I said, wait for death candles. Wait for these massive stuff moves, man. Wait for these candles. You can't tear apart this on the short side on the front side.  And if you are not an MIC member and you found yourself losing on the short side of this today, you need a membership now. You need to text my phone now at 2-1-3-4-5-8-5-9-9-7. So for any of you who lost in the immediate morning or maybe any point today on the short side of DNK, I am here to tell you, please bite your ego, throw it in the trash and realize you need coaching and you need mentoring because you are gambling. That's what I'm saying. While Bao shows us how it's all done during reversal hour, in which case he was shorting this line, if you remember about an hour ago, he was shorting this right here because, and I'm not going to give too much away, that is an actual exact example of structure and process that we do in MIC based on what's called time-based trading. And here we go. Yep, 2 p.m. Eastern Standard Time wraps up to, jams up to previous resistance, much overhead previous resistance into whole and a half dollar number. You get the tank, you get the scalp, and badoosh, gadoosh. That's what you need. Can't be any more clear, man. What else do we have? What else do we have? So we had Mara today, Joe. We had Riot. The only reason why I don't- Oh, the old Bitcoin stuff. Yeah, and the only reason why I don't like talking about this stuff is because they follow BTC and there's so many coin players from Bitcoin and stuff that this just, I don't know, man. It's like a sector play. There's so many factors.  But with something like this that's such an unbelievably cult following stock, it's not my thing. It's just not my thing. So I don't trade these. Yeah. Bro, what did you, what were you surprised at by this market right now? Like, Joe, how are you feeling about the big cap market? Zoom, new high of the day.    Ha ha, Faye. No, we're still holding on from a 371 average. Bro, we've got like three different accounts with Zoom in it.  Joe, what do you think about this overall market, man? It's such in a range and channel, isn't it? Like QQQ, every single day is just playing ping pong. The overall spy, bro, it's just like, look at this. Like, chop city. Yeah, listen to Faye. She found shares in the IRA. Of course she did. Faye probably found out how to log into MySEP IRA and then along and then transferred it to hers. Dude, this.  I'll be like, yeah, I like this. And she's like, yeah, I'm long from 20 and I'm at like 30 trying to start an entry. And I'm like, oh, thanks for the heads up.   And I'm like, okay, all right. Dude, that's because. If I was nicer to you. Bro, that's because every time you try to holler, man, you have to remind her that you have a faithful life. If you would just give into temptation, she might give you stock picks. Guys, if you, again, I can't say this enough as Alex just said, if you have any freaking questions that is MIC, getting signed up, talking to me directly, not a robot, if you want to get on the phone, text thread, everything just text me or okay. And here's another question. If you guys don't have the opportunity to text me, you can also DM my Instagram at shit, what's my handle? T Bradley 90 underscore trader. And I'll hit you there. You can do, I'm telling you, man, there's a million ways to get ahold of me. There's no excuse. If you guys need any help signing up, knowing about anything, freaking drop a line, drop a line.  Go play in traffic, right? So I'm fun. Market related. I honestly, all I see is, is we're just, we're consolidating now above all time highs prior to last Monday, you know, like true all time highs. We could see further continuation later in the week or next week, but you know, I'm just taking it day by day. Honestly, the fact that stocks are strong while the market sells off means to me, like if the market picks up strength, the upside on these stocks is going to be even greater. So I'm fine with it. I'm okay with it. Tony asks, do you ever use Fibonacci or Tracements? Small caps? No. They're useless in small caps. They just clog up your screen. Large caps. Like here, I'll even, I'll even do it for you.  Where are they again? There is this one. The percent sign up too. Oh, there we go. Yeah, there it is.  Like, how's this? Well, what it, it, it doesn't tell you where it's going to potentially bounce. What tells you where it's going to potentially bounce is the lines that we teach, just the analysis that we teach. All that Fibonacci tells you is like, is it still bullish or is it a bearish, is it bearish within it? And it still, it doesn't do any good in my opinion. It just, it just, it just, it clogs things up for me. I, I've just found it easier to be able to just draw lines based on physical support and resistance. And I've had the best entries of my life ever. Palgos of Fibonacci, the lion English.  Dude, here's the thing. Going back to, going back to this freaking hold, man.  I got some, I got a lot left. I'm, I had to trim though. You got to pay yourself, man. You got to pay yourself something. So listen to this guys, in the accelerator bootcamp course, right? In the jumpstart accelerator, which is basically a bootcamp in its own right, but in the accelerator course, Joe, how many times do you talk about Fib Tracers and Bollinger bands and RSI and all that stuff? None. How much do you talk about VWAP and lines and support and resistance? Oh, Jesus Christ. Is that the guy? Is that the actor from, what's that HBO series where everybody's a robot? I think it's Roland's brother from Shits Creek.  Dude, I just, I just finished season six, bro. Thank you for turning me on to one of the best shows in his head. Westworld, that's it. Dude, that is a good, it was a great series, wasn't it? It was the best, dude. I'm like, I'm like really depressed that it's over. Well, they actually teased like they would consider bringing it back. So better. Yeah, Tony, I'm not saying that some people have not found edge in it, but I'm not going to tell people to use Fibonacci in order to better their trading. The best process is learning the MIC process of analysis of a daily chart. Well, let's say it like this, Joe. Say it like this, right? Say it like this. If you ask a thousand MIC traders, and we've got them, if you ask a thousand MIC traders, ask how many use Fibs and ask how many use just support and resistance lines that we teach. One percent, I bet, use Fibs and one percent of the one percent use it successfully. Use it. I was just going to say actually make money because of what they liked in Fibs. Exactly, exactly. Yeah, maybe, maybe 150 people out of 1600 use Fibonacci and maybe four or five out of that entire bunch use it successfully. My mom always said I was special. Joe, dude, all cards on the table, man, when I was a brand new trader, bro, every single year for like the first two and a half, three years, I'd say.  I'm a master of RSI. Oh, okay, that didn't work. I'm a master of the SMA 6 and 15. Oh, that didn't work? Okay. Now I'm a master on, et cetera, et cetera. Dude, if you think, like for anyone listening out here, I don't care if it's one person who needs to hear this. If you think you just figured out the holy grail with an indicator, you just wait. You are dead wrong. Yeah, now I will say this regarding RSI. It works very well in an oversold situation in the major market like the SPX. If the spy ever goes oversold, freaking long it with everything you own. I couldn't agree more on that. It is so rare. It is so rare like investing strategy, right? Yeah, that's correct. Yeah, if you just longed statistically, and this has been proven, if you just longed the spy when it was oversold, you would have bought the bottom in eight out of 10 corrections. Crazy, right? But here's the thing that's so funny about that. Dude, the spy is so easy to read. I don't think you need RSI to know when it's oversold. If spy goes to 300, I'll walk in the house. But it works really well. Let's say you have a really good uptrend, and it goes oversold, and you're above the 200-day moving average because everybody defines trend in large caps with the 200-day moving average. If it's over the 200, and it goes oversold, I mean, you're in a strong uptrend, and it's oversold. Oh, sweet Jesus, come to me. I mean, it's a great long opportunity. I feel you, bro. It does not happen often, though. It might happen once a year, twice a year. It happened a lot in 2020, but this is extremely volatile year. I'm going to draw it again, man. I'm going to draw it again because you guys need to see it over and over again. Look at the line, the bow shorts, right? So the line that he's scaling is 60. He's got some 57 prints. He's got some 47, 37. This is called scaling, 37, 47, 57. I know, Bow, he's probably willing to scale up to maybe 470 because that's where the line with the tops and the wicks are. Dude, where does the stock keep bouncing at? This is resistance. If you guys think of resistance and support as a ceiling or a floor, where does this keep having trouble? Like if you're jumping on a bed in an apartment building and you keep slamming your head, slamming your head, slamming your head, slamming your head, when this gets back up there on a long journey to do so, where do you think that this is going to go? Like, dude, this is, while everyone's focused on Zoom, he's like, dude, I'm just killing DNK while everybody talks about Zoom. But the whole point is, guys, there's a trait in here. You see what I'm saying? There's a trait right here. So great job, Bow. Every single day, man, he's showing us live examples of what it works. This is all MIC process, man. And because, look, just because we're not in the hour, you know, the last hour of the day is not technically designed for shorts, go smaller. Bow's going way smaller than he is in the first hour where he has all of the edge. Or a reversal hour where he has a really good edge. I know, Bow. He's probably shorting at least probably just one-thirties, you know, normal size. But, dude, these scouts add up because they're predictable. They work.  Bro, that's so funny. Yeah. How do you use pips for this, man? I wouldn't even know. I maybe put 100% right here and 0% right here and shorten the 50% line to the 75.  You want that on your charts as hit he is. How do you know which line to short? Just short them all from the bottom to the top. Just short until you go all the way to the top. Just 23.6, 38.2, 50%. 61.8, 78. But just short all of them. Here's your new strategy. Just short them all. Eventually it'll work. Here's your new strategy. All these lines of support, when it gets down here, just long at each line. Or you could short at 9.28 market time every day. On anything that gaps, never think about risk. Let it rip your lip off at the open and then cover for 20 cents six hours later. God, now you're talking, baby. Now I'm talking, man.  God, if you want an adrenaline rush, go a toaster in a full bathtub, that's your move right there, baby.  Now, I've tried Fibre Tracement, and this is the only time I would use it. So you short the top and then where to cover, you draw the Fib lines down. But man, it's so complicated for a guy with 1K account. Honestly, dude, for real. And that was being serious, dude. That was being extremely serious right now. Yeah. So guys, there's a misconception that like, oh, I can't join. We talked about this theory for the death line. Well, yeah, because you need to see how much percentage is coming down. But dude, once you become profitable. It's not a Fibonacci sequence, though. Yeah, I was just going to say, all you need to do is eyeball it and see how much percentage you move. Half of the range is not Fibonacci. It's just half of the range. These guys can barely do algebra. Dude, I know some furus that can't add six plus six. Let's see here. Any other questions, folks? Guys, questions, hit us, hit us, hit us. Now Zoom, go back to 400 so I can reload on you. Keep it simple. Keep it simple. Keep it simple. Keep it simple. Okay, I want 350. All right, Fay, I see you're 350. I want 348. Damn, Tesla 500. Look at this, bro. Look at this. Joe, look at this. Oh my God. I've got a 402 Tesla. I've got a 402. I'm never selling it. Dude, I'm in right here. Look, that sounds so furu and so furu. I'm in right here, guys. Did you see my buy signal? No, that was legitimately just honestly a lucky play, man. I thought Tesla was oversold, and then we got the S&P 500 ad, and it's just a SEP account that I'll just never sell, man, honestly. But I literally do have Tesla at 402. Tesla Q and CMQ.  Oh, don't rain on our parade, bro. You know how crazy it is that Tesla forward split and went to 420 again? That is insane, man. Even Faye sent me an article today on what they're planning on with Tesla and all that. Dude, this thing did a stock split, and then it's still up this. Like, that's after the split. Like, that's insane. This thing is truly going on. Yeah, it literally split. And now, even now, it's a higher price than what the Tesla Q crew has thought it would ever be at for the longest time. And you got all these huge banks upgrading this company. Bro, I was just going to say, Joe, that now it's trading like they need to split again. Dude, it's crazy, man. Dude, I just want Amazon to split. Oh, man, I hope so. I've got some Amazon right now. I hope so. Now on S&P 500, so every fund has to buy it. Yep, dude. This is probably just the beginning. Of course, this is never investment advice or anything like that. This is nothing like that.  This could truly be the beginning for Amazon. Or I mean, Tesla, seriously. They just got added to the S&P 500, man. And also, for those who don't know, that is a limited quantity of the 500. Somebody's got to get kicked out of the S&P 500 now. Someone got to go. So Tesla can take that spot. Someone got to go. Get Facebook out of there. Get Facebook, what? Oh, yeah, get Facebook out of the 500. Get Facebook out of the 500.   I'll never loan this stock in history. I never have it, never will. I think it's a stock. It's the stupidest stock ever. We make bow money every single webinar. Val, you're welcome. You have my Venmo, and I'll expect it later. I need some new skinny jeans and a smoothie. Facial book. Oh, Jesus Christ. Yeah, don't click that link, folks. Do not look it up. Hot horny milfs in my area. Oh, where? On Facial Book. Guys, who has questions? Trading questions. This is your time, or you can always text me. You can always text me or DM me. Does everybody see, though, that this is not just a community for small caps? Like, are we making this clear to you that literally we trade small caps, we trade big caps, we trade options, and we have mentors and moderators in either room here to discuss? We even do borderline investing for God's sakes. Faye is like borderline investor at this point. There's different psychologies for these things. You've got to understand what a different animal big caps is than small caps and why nail and bail means something a little bit different across the niches. Yeah, Faye will be filling out four and four soon, definitely. She's got to disclose how big her positions are.  I love that. That's so funny. Someone pinned that. Yeah, that is so funny. Invest in MIC, man. But let's go back to investing. What is investing, right? Invest in your education, man. Seriously, there's only so much time in the day. There's only so many hours that you can devote to process, to education, to anything if you guys aren't at the right place. So I get a lot of times, I get a lot of questions of, hey, Tosh, you ever hear about Chatroom XYZ? What do you think of that? Dude, what do you think my opinion is going to be about? I got a text today where a guy goes, yeah, I'm going to hold off, man. I've been thinking about joining XYZ Chatroom. What do you think of them?  I don't even think legally I can say to you, unless we're in a private room, but I'm not going to trash anybody. And I don't... I believe that's a conflict of interest.   Man, it's just, dude, you can lead a horse to water, but you can't make a drink, man. It's like when a girl comes to you and asks, what do you think of another guy for it? Be like, yeah, dude, my best friend, he's a good looking guy, you should date him, even though I'm trying to date you. Ultimate friend zone. Hey, Brian, what do you think of Jason?  Dude, Faye comes to me all the time. Great guy. What do you think of Joe? And I'm like, well, he's a good dude. Yeah, he's a good guy. That's kind of cool. That's fine. Oh man, that's too funny. That is too funny, bro. As Taye would say, invest for the will. Oh, hey, spy, we got some weakness, bro.   We got some ping pong going on. I'll bet you this reclaims the gaps of tomorrow because it's like stuck in this 50 to 65 channel. People roll their eyes at spy. I'm going to get educated about training and join MIC. 200 a month is too much to learn from a trader who has detailed exactly how you two, if you do exactly what he does, makes a mill point to a year and probably more because technically we're in November and Alex has two more months to basically turn that into probably 1.4. Knock on wood and crossing fingers for Alex. We don't jinx here at MIC. Knock on wood. But the point is, guys, is you have people who are committed to the evolution of you as a trader. They go another way to show you exactly how they do it. And if you think $200 is too much, and here's another thing. Here's a perspective. If you're paying for a scanner, right? If you're paying $100 a month for a scanner, even just $75 a month, you do realize that we bow post a scanner all day every day in MIC chat, right? Like you can, here, I'll scroll through, literally. Like, bow is always posting his scanner for you guys to know and other members in the chat each morning. So you guys don't have to have a scanner. Why would you waste money on that? So if we scroll all the way to the beginning of the day, and, dude, a scanner is, God, the most unnecessary. Joe, how do we even explain it, dude? How unnecessary is a scanner? Seriously. All you need is like a DOS high-day watch list. That's it, dude. Like, it does it for you, or we do it. Yeah, or you've got thinkorswim that is free. Well, that's what I'm saying. Like, why are people wasting their money, man? So the money that you're going to save between a scanner and the money that you're... All right, I can't go through all these comments, but bow post it every single day, man. It's up there. So the whole point is if you're going to save money on not getting a scanner, and also by joining one of our direct market access brokers, like something like Cobra, right?  Does that make sense to you? Like, are you guys like calculating the money? We designed it this way to help the average guy. Mara, wow, dude, look at that bleed. Jesus. Let's see where... Riot will just probably look the identical. Yep, yep, yep. Fcel, Fcel was doing some serious tank today, wasn't it? Oh, no, I mean some serious ripping.  I remember people thought it was done, then come zombie hour dude. This thing was a moonshot. Nah, it's too late in the day, bow.  I'm cutting you off as a telepartner, bro. No more trading. You have literally 21 minutes, man. Joe, what else is going on, brother? What else? What else is new in Texas, man? Nothing in Texas, bro. There's nothing.  Like, now give us updates, dude. What's going on, man?  Apparently, now for freaking Thanksgiving, you can't have more than 10 of your family members over for Thanksgiving or something like that. I saw that post.  Where are they going to keep track of that? They can't, dude. They can't. So my question becomes, are they going to take all of these additional police officers and have them patrol the town? Like looking for these houses with a lot of cars parked up front or something, or are they going to take those people away from their families?  I mean, that's just- I can't really not, man. They defunded the police.  Don't get me started. Joe is a bellhop in an elevator with Faye. Actually, it's more like Faye in an elevator with Joe.  No, you know what this really is? This is Joe in an elevator with his wife when his wife says that the boot can't wait. Faye is here.  Dude, we have too much fun, man. Needs to call my mommy and tell her MIC made fun of Fibonacci. Question, have a great night. Thanks for the later, Tony. Later, Tony. Thanks for coming, bro, as Faye seen Joe's real photo.  Not the catfish one. Not the real estate catfish one. California governor went to party finally on virus. Newsom probably threw like a giggle concert in his $8 million house while he shuts down everybody's hopes and dreams. Small golf clap for Governor Newsom. Guys, this was fun, man. Does anybody have any more questions before we do wrap this up? Because, look, we gave you guys a ton of information today. But if you think you got any value today, dude, wait until you become an MIC member. Wait until you have exclusive to exclusive webinars. Past footage of boot camps where Bowen Alex traded live, dude. Live commentary over a microphone with screen records. You have access to trader calls with me. You know, Faye, the moderators, we can break down charts. Like if you guys want that one-on-one experience, if you guys want the collective experience through DMs, through chat, through sub channels, everything that you guys are going to need. I mean, dude, like I said, if you got any value out of this webinar, you have no idea, man. You have no idea. You've got to take the leap of faith, man. You've got to become a member. And I'll say it one last time for the guys that probably came in a little bit late. We got some big plans for Black Friday, guys. We're doing a serious promotion that you're going to want to turn it and tune into. A little bit different than anything we've ever done. I'm not going to go, whoa, F cell just tanked. Bow wanted that. Don't look, Bow. I know you guys are probably going to ask me now. Just don't, just wait until next week. We will get you all the information. Just know we're working on something. And yeah, we're doing good.  Come on, baby. Go back to 4. Go back to 400. And we're getting back in, Faye. We're adding back ourselves. Joe, last any YouTube questions to wrap this up? Nothing on YouTube. Nothing on YouTube? All right, guys. What are the changes you would do to trade the MIC process on large caps? Nothing. Dude, nothing. So I'll just give an example. Pivot points work better on large caps than they do even small caps. And we use them to a T on small caps. Bro, they work even better. So, you know, everything works, man.  Here, I'll show you guys what pivots look like. One sec. Where do we study style? Bow, pivots and zombie. Dude, hold on. I zoomed out too much. See that? You scale these pivot lines, man. Could have scaled that covered. Could have scaled that and covered back down. I'm telling you, pivots work, but we are not going to show that too much. You got to join. You got to join. That won't let me. I give away too much on these webinars, bro. I blame Joe. I blame Joe. We'll have to make a B line out of here. Guys, I think we're going to wrap up. If you guys have any questions, please text me at 2-1-3-458-5997. If you can't text me directly, maybe you're international. T Bradley90 underscore trader. If you follow my stories, you can watch me golf almost every single day because my back is practically broken from so much golf and too many girlfriends. But I'll tell you what, dude, we're going to get you set up in the club. Why is your back broken because of women? I thought I could slide that in there really good. Can we rewind that real fast? No, from the golf, dude, from the golf. Oh, okay. All right. Yeah, you know how it is. You know how it is. So here's what we're going to do, guys. You're going to text me. We're going to get you started in the club.  Don't make me say it, pal. You got a sister? Don't make me say it. The Dutney's knees, man. They're killing me. Knee pads, bro. Knee pads. So here's the thing, guys. Like I said before, bow interrupted. Text me. If you want to go directly to annual or lifetime, I will throw you a promotion. I will work with you. We got some special cases out there. I know a lot of guys have been really struck by coronavirus. And while it's no laughing matter, dude, truly, we're here for you even on almost the fiscal side of it, man. If you need a little bit of help and you do want to know about that, just reach out to me, man. It's case by case, but I'll talk to you. We'll get you situated. And everything that you're going to need at MIC, man, is right here. And these are all the members, man. You're going to really love being a part of the community. So throw me a line. Know that Governor Newsom is not following his own rules. So I don't know what to say there. Sorry, Callie. And guys, we'll see you next week, man. This was a lot of fun. Later, bro. Joe, catch you later, my man. Go watch some shits, Creek, bro. Oh, I'm already done with it. Yeah, no, no. We got to start from season one, episode one again. Again, yes. See you, buddy. Later, guys. Later.


What's up everybody, I'm Evo Revit, we're here on a set of Corsa testing out a new track from Hexmod's slide boys skid pad. We are in my 180SX Missile Car, one of my favorite cars. A lot of you guys have been definitely loving the Missile Cars and the 180, so we're going to be taking that forward today. We should film it on our social media. Let's get to it. Let's take a look at the skid pad track. Alright, so we are on the skid pad track here from Slide Boys Drift Club from Hexmod's. So we're in first, and it looks like we got a really nice skid pad section. So we're going to run this a couple different ways. I think we're just going to go out here first. So we're going to see what this track is like. First things first, big pep people mind on tracks. Here's the cones move. They do! So the cones move, so that's definitely a plus in my book. So we're going to go send it, let's initiate it in here. There we go. Quick handbrake flick. I do like the open style of this track, and the skid pad would be great for getting some tandems. It feels so far very flowy, and I feel like some massive tandems could be had on this track. Not much really handbrake needed at all, just weight transfer and a little bit of brakes. Probably should have went up into fourth. Oh, popped the handbrake there for a second. Flick there, and it looks like we're back at the start. Yep. So you can continuously run this. Kind of have to take cones out there. Kind of got a fishtail at Manji through that section. So this is definitely a fun track, and it's pretty wide with the cones. I love the fact that the cones can be moved. We're just going to try and tail tap this cone right here. There we go. Have a little game of clipping cones. Clip this front one. I'm going to miss that one, but we're going to clip this inner one right here. Ready? Doop. Clip this inner one. Maybe these two inner ones. Got them, and I didn't hit the wall. So that's pretty sweet being able to hit the cones and stuff like that. So we're going to flip and go the other way. See how this course runs the other way. So the course is actually very, very flowy, and I do love how this course is run, and it's very, very smooth and very flowing, and it looks pretty good. Like I said, I love the fact that the cones move. We're getting to fourth there, because I know we've got this long super. A couple clutch kicks. Bring it out wide on the brakes. Huge angles through there. Kick it back. Down to third. No handbrake. Just a little break and let the body of the car throw me around. Kind of a massive smoke show with this 180, and I'm absolutely in love with this track the way it flows. The Slide Boys track, the other one flows very well. Let's see how this flows though. We can flick it out. You can have to run it a little bit wide, but you could kind of link this section together. I just love the sound of those cones. Doop. So we're going to switch this up. Wrong view. One more. There we go. Switched up. Do a little first person action on this track. The interior lighting is stuff that I have on this car. The camera gets a little bit twitchy through that part. Probably doesn't know exactly which part of the track I'm going, because I don't have rear head motion on. I have it based on basically the neck function in a set of course content manager. Third and fourth. I do like how this track flows. It's definitely a fun track. I will leave the link to the track down in the description box below if you guys want to try this track out yourself. It's definitely a fun track. I feel like we should go try and see if they have a session open, and maybe try and see if anybody's throwing some tandems out. Now we're going to go try and find another tandem session. Get some tandems in this episode. I feel like we would have hit that wall. But first things first. How are the replay angles? Because do they have some good replay angles? Because that'll... Alright, so this is their replay angle. Yep, I feel like the replay angles are pretty good on this track. I like it. You know, you got to have a good replay angle on the track because if you don't, you can't get those awesome like replay style tandems and stuff like that with people. That's pretty good. Is it going to stay all the way back? Or is it going to get closer? Oh, that's a sweet camera switch. Almost messed up there. 180 looking pretty awesome on this track. I mean, pretty beat up, but it's the purpose of the car. Oh, yeah. That camera view is pretty cool going that way. So let's see what it looks like on the other way though. See how it looks? That's a pretty good view. Big fireball clip in that cone. That would be a good transition to file in with your friends in a good tandem. That whole sweep right there going this way is actually a pretty solid view. That's a good one. If you can go out there and get close to that cone, maybe you can get up to that wall. Yep, I definitely like the replay angles. Punted that cone clear across the track. Alright, so let's see if they have a session. I'll catch you guys back in another session before we get some doors. So we did find a session with three other people in it. Let's change views. I'll take off tandem with these guys before. We're going to be rocking this 240. Don't know what happened there. It kind of initiated a little too soon. Paint looks a little bit different to me on the online session. This 14 gets it. Just going to cut it. Oh, I was going to cut in on that. Try to cut in here. That's greasy. Shouldn't be doing that. But we're trying to cut in some tandems.  I'm cutting all the cones out. Cone workers would hate me at a local drift event right now. That's short. There we go. There we go. Now we throw it in on the D46. Bumped him just a smidge. Alright, Jeremy. Trying to get tandems with some randoms is definitely very complicated at times. Not knowing their driving styles or anything like that. And I should have clutched it. Actually, I've never driven this 14 yet. They didn't on his door though. Kind of surging and being aggressive. But you know what? If it works, it works, right? We go. Tandem session here on the Slide Boys section. I think he's going to lose that. We jump back to pits. See, we can't follow a couple more people in this episode. That was kind of a bad entry on that man's part. This man was getting down earlier, so... Oh! This little bump. Another big deal. He managed to keep it. Throwing it hard in there behind that man. Kicking up cones. We got a little train going on right now. So if you guys like this track and you guys want to see more, let me know down in the comment section down below. What do you guys think of the Slide Boys track? We're probably going for the proto now. It's definitely a fun track. Smooth line for this man. And he's kicking on my door. A little bit of grass. No big deal. He managed to keep it. There we go. So I think that's good to do here for this episode here on a set of Corsa. Taking a look at the Slide Boys skid pad. This man is banging on my door. Prono beast throwing it in with me. So I hope you guys enjoyed this episode. And as always, thank you guys for coming back and watching. I'm EvilRabbit. I'll see you guys on the track. That was too close.


A civil society organization, the Free Nigerian Movement, has called the President, Bolotinibu, to immediately reverse his call on the removal of petrol subsidy. The group condemned what he described as autocratic pronouncement by the President during his inaugural address to the nation. It also condemns the Eroshba, his mouthpiece, to explain a clear and ambiguous statement to a deeply traumatized citizenry. Among the saddest people in the world today, if only this unnatural decree had waited till June, maybe palliatives would have been put in place and our people would not be in this scared by what should have been a noble move by government. Contrary to the notion being promulgated by spin doctors that the subsidy removal is to caution the excesses of the elite, the true targets are the poor people of Nigeria. We cannot continue to allow lives waste on the inability of government to show leadership. We frown at the unsavory pronouncement of subsidy removal by the new government. Hello, hope you enjoyed the news. Please do subscribe to our YouTube channel and don't forget to hit the notification button so you get notified about fresh news updates.


This talk is on communication efficient asynchronous multi-party computation with adaptive security. My name is Martin Hirt and this is joint work with Anik Jobar and Jenda Ljuzon. First very briefly, what is MPC? We consider M-parties, T of them are corrupted. The parties are connected to these bilateral channels. And the goal of MPC is to evaluate the circuit where each input is given by one of the parties and the output is revealed to entitled parties. In the literature one considers several models with respect to the network. One distinguishes synchronous channels and asynchronous channels. In synchronous channels the delay of the channels is bound by an unconstant whereas in asynchronous channels messages can be delayed arbitrarily. Messages can even overtake each other. The adversary can control the delay of messages. With respect to corruptions one distinguishes static corruption and adaptive corruption. Static corruption means that all parties are corrupted right at the beginning of the protocol. Whereas in adaptive corruption the adversary is allowed to corrupt parties during the protocol execution and he chooses the parties to corrupt depending on information gathered so far. With respect to security one distinguishes computational security and information theoretic security where computational security usually is based on some hardness assumption and the adversary is assumed to be polynomially bounded. Whereas in information theoretic security the security is unbounded without assumption. In this work we consider the asynchronous network model and we allow the adversary to adaptively corrupt parties and we are after computational security. In this model the best possible corruption threshold is T-small at NOV3. A little bit of history. Asynchronous protocols with T-small at NOV3 were first introduced by Mino, Kellerman and Raybin. They achieved adaptive security at some communication complexity which was very high. Later on myself Nielsen and Schütateck presented a statically secure asynchronous NPC protocol that communicated N to the 3 per multiplication gate and we improve this later to N squared. Patra, Houdari and Rangan presented an adaptively secure NPC protocol that communicates N to the 5 and Houdari and Patra presented a statically secure NPC protocol in the asynchronous model that assumes somewhat homomorphic encryption and communicates only linear per multiplication gate. This was further improved by Korhan by assuming fully homomorphic encryption where the overall communication complexity does not depend on the circuit size. Houdari presented an adaptively secure asynchronous NPC protocol that communicates O of N to the 4 per multiplication gate. As said in this work we focus on adaptive security and what we achieve is adaptive security against a cryptographic adversary. We achieve standalone security and we do not assume somewhat of fully homomorphic encryption. We have two protocols in the paper. The first protocol tolerates T-small at NOV3 which is optimal in that model and communicates O of N squared per multiplication gate. Note that this is the same communication complexity as is needed for static security if you don't want to assume somewhat homomorphic encryption respectively fully homomorphic encryption. Our second protocol tolerates slightly less corruptions and it has linear communication complexity and it assumes secure erasures, non-interactive serial knowledge proofs and atomic send. Atomic send means that the party can send a message to all other parties where if the party is honest then the message arrives at all other parties. If the party is malicious then the adversary chooses what happens but the adversary cannot corrupt the party during the send operation. We follow the CDN approach which means that we assume a homomorphic threshold encryption scheme and we assume that the secret key of that scheme is initially shared among the parties. Then in order to provide an input to the computation the party would encrypt the input and send the encryption to everybody and prove plain text knowledge. Addition of course is for free by exploiting the homomorphism of the encryption scheme and for multiplication we will employ some sub-protocol. In order to output we use threshold decryption towards the entire parties. So first each party encrypts its input, proves plain text knowledge and then we go through the circuit. Additions for free multiplications with the protocol. Finally we have an encryption of the output which is then threshold decrypted towards the entire parties. We employ circuit randomization by beaver which means that in some preparation phase which is independent from the concrete circuit the parties prepare a bunch of triples ABC. A triple ABC are three encryptions where the plain text of the first two encryptions multiply to the third encryption. And then of course in the computation phase we can use these triples for addition which is just the homomorphism of the encryption scheme and for multiplication in order to multiply two values to encryptions X and Y the parties pick the next triple ABC and then they encrypt X minus A and Y minus B and one can see that the product X times Y can be written as a linear combination of the ciphertext ABC which can be computed non-interactively. So this means that multiplication boils down to two public reconstructions. Now how do we prepare these triples? So first of all the parties generate the random A. Therefore each party Pj produces a random HA encrypts it and pro-casts asynchronously that means A casts big HA. Furthermore the party starts bilateral proofs interactively to prove plain text knowledge of HA. Then the party run an agreement on a core set protocol in order to find at least N minus T parties who did the first step correctly that is each party votes for a party to be in the core set if the party received the A cast from that other party and also accepted the proof of plain text knowledge. Then all the parties compute A as the sum of the HA's from the parties in the core set. Then the parties produce the B and the C simultaneously for the B the parties just follow the same approach as for the A and for the C as now the A is known already each party provides a Cj which is the Bj times A plus some randomization so the Cj will contain a plain text which is the product of the plain text of A and the plain text of Bj. Again the parties start bilateral proofs of plain text knowledge of Bj and multiplication proofs of Cj. Then the parties run again a core set agreement protocol to find a subset of at least N minus T parties who did step 4 correctly and then they compute B as the sum of the Bj's in the core set and C as the sum of the Cj's in the core set. One can easily verify that this triple ABC is now a correct multiplication triple and that the adversary does not know the plain text of A or B and of course not of C neither. About the communication complexity the first step requires all of an ACAST operations then in the second step we have one ACS, steps 4 and 5 equivalently and now by running this protocol multiple times in parallel we can amortize the costs of ACS and of ACAST so we have two ACS's overall at the cost of ACAST ACAST if the message so if we want to ACAST multiple messages at the same time then we can amortize the cost of ACAST and we can have linear cost which sums up overall then to cost N squared times kappa. Now we want to achieve linear communication complexity first thing we do is replace the bilateral proofs by non-interactive serial knowledge proofs which means that each party will just ACAST one big message furthermore we assume that in the setup two committees are given to set C1, C2 random subsets of the party sets where the size of each committee is approximately k each party knows if it is in a committee but part is not in a committee to not know who is in the committee and now instead of having each party provide a random HA we have only parties in the first committee provide a random HA and then the sum of the HA still is A and will be known to everybody but only the parties in CI provide an HA we do exactly the same thing for the BJCJ pair here just to use a different committee and here we use the fact that the parties just need to send one message and they use atomic send in order to do that this means that if a party is honest, if a party in the committee is honest then it will actually broadcast a valid message with correct non-interactive serial knowledge proofs in it so this brings down the communication complexity instead of NA costs we have now kappa A costs and the costs for NA costs by using a risen paper by blue metal we have costs of poly and kappa times N which then sums up to overall communication complexity O of N times poly of kappa which by just standard techniques can be shown to be equivalent to O of N times kappa now in the computation phase as said before for input the party would just encrypt x A costs x and proofs and x knowledge then exploit the homomorphism multiplication we consume one triple and we need two public reconstructions and then for the output we just reconstruct Y to entitled parties now for these public reconstructions we use the technique by Darmgart Nielsen of O7 namely we reconstruct N minus 2T encryptions at the same time in parallel therefore we first expand these N minus 2T encryptions with a linear error correction code to N encryptions and now each encryption is reconstructed towards one party and the party will then send the plaintext YJ to everybody and everybody then receives a whole bunch of such YJs applies error correction and can reconstruct the values X1 up to XN minus 2T the communication complexity of this protocol is N squared but as we reconstruct O of N ciphertext at once this amortizes to O of N per multiplication now is this adaptively secure? well of course it's not if an honest party provides some input this means that it A costs an encryption of the input now in the simulation the simulator does not know that input if the party is honest and the simulator would just present a random encryption to the adversary but later the adversary could corrupt that party and then the simulator needs to explain how this encryption contains the value the input value of that party and of course the simulator cannot so this is not adaptively secure in order to achieve adaptive security we use this trick by Darmgart Nielsen of O3 the basic idea is that a setup assumption we assume to have a constant encryption of 1 we call this K and then in order to encrypt the message M with respect to this K we just multiply K M times and we add an encryption of 0 in order to randomize so clearly this gives an encryption of M if K is an encryption of 1 however in the simulation we will in the setup assume that K is not an encryption of 1 but K is an encryption of 0 so thereby in the simulation all values are 0 the inputs are encryptions of 0 outputs everything is encryptions of 0s so this is pretty easy to simulate right? however one problem we have now of course is that in the simulation the output Y will always contain 0 and this is not the same as in the real world so what we do here is we will not reconstruct the output Y but we will reconstruct the value Y plus M where M is constructed in such a way that in the real world M is an encryption of 0 and in the ideal world M can be chosen by the simulator the basic idea here is to assume an additional value R to be part of the setup where R in the real world R is an encryption of 0 and in the simulation R is an encryption of 1 and then the parties will encrypt some M with respect to R where this M is somehow I will not explain here how chosen by the simulator now clearly ER of M in the real world contains 0 because R is an encryption of 0 so in the real world this does not change the output whereas in the ideal world the simulator can choose in his contributions Mj in such a way that M will contain the plaintext he wants and thereby can open the output value of the computation as desired now there is a second problem if all encryptions contain a 0 then of course the inputs given by the adversaries cannot be extracted so the simulator cannot find the inputs that the adversary gives into the computation in the real world and so he cannot give these inputs to the functionality but this can easily be solved by just adding a UC commitment to the input stage so if a party wants to give an input not only he needs to provide an encryption with respect to K of that input but in addition the party also needs to use the commit to that input and prove in zero knowledge that the commitment contains the same value as the encryption let me conclude we have presented two protocols the first protocol is for the asynchronous network with the GIFs adaptive security and it communicates N squared per multiplication this is as efficient as the best known protocol not using SHG or FHG but our protocol is adaptively secure then we have presented the second protocol still asynchronous network adaptive security and with linear communication complexity here we have to pay a price on the corruption threshold so T is slightly smaller than NOV3 we need to assume eracious non interactive zero knowledge proofs and atomic send it's an open question to achieve adaptive security with linear communication complexity in the standard model


Hello everyone, I'm Hilary, and I'll be presenting on the package GLMMPEN, which fits High-Dimensional Penalized Generalized Linear Mixed Models. The main purpose of the R-Package GLMMPEN is to fit High-Dimensional Penalized Generalized Linear Mixed Models, or PGLMMs. This package performs variable selection on both the fixed and random effects concurrently. In order to fit such PGLMM models, the package uses a Monte Carlo Expectation Conditional Maximization, or MCECN algorithm. In this package, we utilize the existing tools, RCPP Armadillo and STAN, in order to aid in computational efficiency. By using RCPP Armadillo, we can significantly reduce the required memory for and increase the speed of the maximization step. Using STAN helps us to improve the computational efficiency of the expectation step. By utilizing the MCECN algorithm, as well as these computational efficiency tools, the GLMMPEN package can handle 50 or more fixed random effects. Currently, the package handles the binomial, Gaussian and Poisson jammies with counterpoints. The GLMMPEN package can perform variable selection in generalized linear mixed models, using the function with the same name. The formula is designed to follow similar formula conventions to the LME4R package, which is very popular for fitting heal on the models. The package can perform penalization using the MCP SCAD and lasso penalties. In order to perform model selection, the package can use several BIC-derived selection criteria, including the regular BIC, the BIC-ICQ, and the BIC-H. In order to calculate the BIC or BIC-H, we need to calculate the marginal log likelihood, which we calculate using a corrected arithmetic mean estimator, or CAME, which is described by Poisson. We have found the simulations of the CAME estimator, gives marginal log likelihood estimates extremely close to the Laplace estimator used by the LME4R package in low dimensions. The select control function has controls over several other parameters that specify the penalty parameters used to search over these penalty parameters and pre-screening a parameter. We describe here the default two-stage grid search over the penalty parameters to find the best overall model. We label the penalty parameters for the fixed random effects as lambda 0 and lambda 1, respectively. In the first stage, we fix the fixed effects penalty as the min penalty, and then the random effects penalty ranges from the min penalty to the max penalty. The best model from this first stage gives us the best random effects penalty. In the second stage, we fix the random effects penalty as this best penalty from the first stage, and the fixed effects penalty ranges from the min penalty to the max penalty. The best model from the second stage gives us the best overall model. The Stuckey's abbreviated grid search has several advantages. We found that this abbreviated grid search works very well in simulations, which means that the algorithm can avoid performing a complete grid search over all penalty parameter combinations. Additionally, we found that progressing from the min-penalty to the max-penalty gives us good initialization and subsequent models. This good initialization then helps us to reduce the total amount of time it takes for the algorithm to complete the subsequent models. The GLMM-PEN package can be downloaded at GitHub. Once again, it fits penalized generalized linear mixed models and it performs variable selection of what the fixed random effects concurrently. We designed the user interface of the package to be as similar as possible to the package LME4 so that the many users of LME4 would then easily use our package. When developing the package, we took advantage of several existing tools, including RCPP Armadillo and STAN, in order to improve computational efficiency. In addition, we were able to speed up the package by taking advantage of good initialization of subsequent models, as well as pre-screening of random effects. I would now like to acknowledge several individuals who were instrumental in the package development. And for anyone interested, they can look at the slides online and look at the references, as well as the simulation results. The details of the simulation results are provided in the speaker notes in the slides, in a particular interest. I give some time estimates for the completion of algorithm.


Item number, SCP-842, Object Class, SAFE, Special Containment Procedures. SCP-842 is housed at Site-19 in a standard 10 meter by 10 meter by 5 meter containment cell. All telephone lines, radio transceivers, internet connections, and other communication equipment to aid in the use of SCP-842 must be routed through a central server administered by Site-19 security. Maintenance of equipment is to be done on a monthly basis, or upon request of administrator. No security measures beyond a standard locked foundation security door are required. Access to SCP-842 is to be restricted to researchers with level 4 clearance or MTF commanders with authorization from 05 personnel. Written proposals for use of SCP-842 are to be made at least one week before requested use and must detail the purpose of the operation and the estimated time of use. All Class D personnel required for use of SCP-842 are to be escorted by no fewer than two level 3 security personnel. Backup Class D personnel are to be kept in the adjoining containment cell and are to be prepped for use in SCP-842 by on-site medical personnel at least one day before use. No more than one Class D is to be allowed inside SCP-842's containment area at any time aside from the Class D in use by SCP-842 and must be restrained by a 4-point harness. Description SCP-842 is a 2 meter by 0.8 meter dilapidated antique operating table capable of remote viewing and surveillance. SCP-842 will use SCP-842-1 to display terrain, buildings, objects, and entities within the chosen viewing area. SCP-842-1 will also be altered to mimic the chosen viewing area in real time and any alterations of the viewing area or updated information will be displayed immediately on SCP-842-1. SCP-842 will not display any anomalous properties until a living human lays face up on the table. Once the subject lays face up on the table, the subject becomes completely immobilized from the neck down and is henceforth designated SCP-842-1. As long as SCP-842-1 remains alive, it cannot be removed from the table. Remote viewing begins when a human touches SCP-842 while thinking about the area he wishes to see. GPS coordinates, longitude and latitude, firsthand knowledge of the location, and or observation of a detailed map of the area, is sufficient to allow activation of SCP-842. The person who first initiates SCP-842 controls the viewing area until the expiration of SCP-842-1. If the controller wishes to view different areas, other floors, or increase or decrease magnification, he merely needs to think about it. Objects are three-dimensionally rendered on SCP-842-1 by the near-instantaneous alteration of SCP-842-1's body. How this is accomplished is unknown at this time. Musculature and bone are the most commonly used materials to render objects, but data expunged have sometimes been noted. The controller may tag objects or individuals with text. The text is displayed by use of veins and arteries. Sound from the remote viewing area is channeled directly through SCP-842-1's own vocalizations. However, due to the fact that SCP-842-1 is fully aware of the trauma being inflicted, SCP-842-1's screams make deciphering sound from the viewing area difficult. SCP-842-1 must remain conscious through the entire process to maintain real-time updates. Anesthesia or lobotomies drastically affect image fidelity and are not recommended. Medical personnel preparing Class D subjects for use are to remove the subject's larynx, unless specific requests to the contrary are made. SCP-842-1 tends to survive generally between 15 to 20 minutes, depending on the subject's physical health, the complexity of the rendition, the frequency of real-time updates that are required by the viewing, over-of-times changes of viewpoint which would require large-scale construction of a different view are required. Upon expiration of the subject, real-time updates of the viewing area cease, and the subject at this point can be removed from the table. Autopsies conducted on the corpses recovered after use demonstrate massive internal and external injuries. Organs are compacted, moved, or data expunged completely. Musculature and bone are warped to a degree to make them unrecognizable as any bodily structure. It is unknown how SCP-842-1 survives the continuous changes inflicted on its body, or fails to go into immediate shock. Users should note that SCP-842 does have limitations. It is impossible to view areas underneath 15 feet of solid mass. Additionally, the wider the area viewed, the more SCP-842 relies on the controller's own knowledge or expectation of information regarding the area, rather than SCP-842's seemingly omnipresent abilities. At short-range viewing, generally within the 10 meter by 10 meter area, the rendition will be nearly 100% accurate. At intermediate range, around the 200 meter by 200 meter distance, tokens only represent the general area within 10 meters, which the object could be located. Long ranges of greater than 200 meters are strictly limited to terrain, and the controller's personal knowledge and or expectation. Finally, areas of high psychic activity or other EM interference can render information gained by SCP-842 highly unreliable. SCP-842 is not to be used for fishing expeditions. Unless the controller knows specifically which location is desired, or what information is sought, class D personnel are consumed at an unacceptable rate. Recovery Log SCP-842 was recovered in a raid on an ad hoc chaos insurgency facility located in the Ural Mountains on... Foundation agents had received a tip that the insurgency was transporting several SCP objects and had temporarily established a base camp in the abandoned town of... Foundation casualties numbered over... Agents and class D personnel. The unusually high casualties that were sustained were attributed to the chaos insurgency commanders using SCP-842 to organize their defense. Only due to agent data expunged, quick thinking and uncommon valor was data expunged and the object brought into containment. Test Log SCP-842 Subject Corps of previously terminated class D Area to be viewed An adjoining containment cell containing D-457 sitting in a chair. Result? No result. Subject Sedated Papio Anubis Olive Baboon Area to be viewed An adjoining containment cell containing D-457 sitting in a chair. Result? No result. Subject D-458 Heavily Sedated Area to be viewed An adjoining containment cell containing D-457 sitting in a chair. Result Upon touching the table, Dr. Red immediately noted Bones and sinew erupting from D-458's chest area while D-458's arms and legs fused into the central mass to form a roughly even block covering SCP-842. Despite the massive trauma done to D-458 he did not expire or lapse into shock. No blood or bodily fluid spray occurred. The three-dimensional representation of the adjoining containment room was highly distorted and no recognizable details could be made out. D-458 expired after 22 minutes of viewing cause of death, massive internal trauma. Subject D-459 Area to be viewed An adjoining containment cell containing one D-457 sitting in a chair. Result? Three-dimensional representation of the adjoining containment room immediately erupted from D-459's chest. D-459 begins screaming Before security could return with a gag D-459 overheard muttering wish I had a cigarette in between screams. Details on the representation were extremely fine including an accurate scale representation of the chair and D-457 seemingly made out of data expunged. During the experiment the representation of D-457 got up from the chair and began moving about the viewing area. D-459 screams at this point intensified. D-459 expired after 22 minutes of viewing. Review of surveillance information in D-457's room confirms the representation on D-459 completely and accurately mirrored D-457's actions including his request for a cigarette. Subject D-460 Area to be viewed A supermarket that Dr. Red had never personally visited. Prior to this experiment Dr. Red was shown the location of the target area on a map. Result? A dimensional representation of the supermarket and surrounding parking lot rendered. Small tokens made of data expunged rendering cars and people moving about the store. Dr. Red was able to view the inside of the store by thinking about removing the roof from the representation. Upon the thought the flesh and arteries that made up the roof of the supermarket rapidly would grow or retract. Dr. Red acted thought about viewing the produce section in detail. The representation rapidly reconstructed into the produce section showing objects and people moving through the area in much greater detail. Subject expired after 7 minutes. Subject D-461 Area to be viewed All foundation assets in North America Dr. Red was not provided any information regarding 05 command level information regarding distribution of foundation resources. Result? An accurate rendition of North America was created. The only map tokens generated however were for Site-19 and one for Dr. Red which the controller was aware that Dr. Red was taking a vacation in the city located near the token. Dr. Red was then told Agent M was on assignment in a new token representing Agent M was instantly generated. Subject D-462 Area to be viewed The nucleus of a carbon atom held in a vacuum in Site-19 lab result Upon touching the table data expunged two weeks clean up and casualties testing on the quantum or stellar scale has been indefinitely suspended. Lesson complete If you missed the previous orientation go watch SCP-841 Reverse mirror voodoo doll stick puppet right now or for the complete course watch this playlist


Welcome back to the ThinkTech Hawaii studio. We've got an exciting episode of Security Matters for you today. We're kicking off the new year with a little bit of IoT, a little bit on the edge of our industry and a little place where the industry is obviously heading to take advantage of these new technologies that are available. And Holly Hunt is with us from IntelliSight. I know some of you may know her, but I'm going to give her a chance to sort of, she's got a lot of enthusiasm for her background and how it brought her to where she is today. So I want to let her give you as much of that as she's like, Holly, thanks for joining me today. I appreciate you taking the time out and thank Ken Mills over there for letting you have some time off to jump on the show. I know he works you hard, you know, he's one of those kind of guys. Oh, it's hard not to work and follow that aspect that Ken has. So it doesn't feel like work at all, to be honest with you. Awesome. That's the best kind of job to have. Yeah, it really is. And just with the kind of, thank you for asking about me sharing a little bit about my background, because that's really where this enthusiasm for where I get to really help and create harmony in the market today. But I've been in the security industry for, gosh, a good 20 plus years. We'll just leave it at that for, you know, dating myself. But I started in the market in photographic film and badging supplies. And then it turned into really an access control play. And I had to actually be an installer of my own technology to be able to go out and sell it. So I would go out and to meet folks like yourself and say, Hey, at the latest, greatest, you know, was being access control solution for you. And it's right when they became really just key replacement systems, you know, these plastic badges. And so just using that foundation and leveraging that life experience where I started with key scan into really working in the alarm space with Bosch gave me this ability to work deeply in the market and the passion around what are the outcomes? What are we driving? What are we looking at? And that naturally leads to this engagement and relationship of where we've merged in the market into IOT. And I was sitting in a California alarm association conference, and they have some of the greatest, you know, thought leaders that really dug in. And DeMarco gave us a State of the Union and what's happening. And it was the rings coming in and stealing the market. And it was really the first IOT innovative kind of conversation play.  And it woke me up to where the market was going. And I then really like pulled back and I got with some coaches and leaders in my life and a group built around resiliency and looking at the global X event and it's the global X network. And these group of global researchers had just started on a six year project. And this was six years ago, identifying the platform value of future economies. And I learned from them, IOT platform value and ecosystems are all in play. And without all of that together, we don't have IOT today. So that's why I'm excited where I'm at at IOT companies. I get to really leverage that rich experience throughout my career, you know, from Bosch to working with Cognify and understanding what a PISM is. And I like to call it Platform 1.0. And what we didn't have back in PISM and really in that space is really that compute and process at the edge, the ability to make that rich decision making and enablement. And now that we have like partners like NVIDIA and massive like processing at the edge, we're really getting to leverage IOT like we never saw it before in the security industry. Because we need a lot to push that video, you know, piece out there. So we wanted to talk today, Andrew, about chopping up the market and IOT. And I always like to bring my friends along and figure out how do we enable everybody to go out and capture opportunity in the space and tell a site what we are doing is scaling the market of this inclusive enablement. And it's really leaning in with integration teams like yourself and realizing that we can't just be one product set anymore. I had a customer say, help me find the platform of the future. And I had to go back to them and say it isn't one. It's really about an ecosystem and how are you going to build that? And that's what I get excited about, you know, what we're doing here. And it's the breadth of it, I think some people, they see ring, that was a great example, right? So they see that and go, oh, IOT device, so it's that simple, some device talking to the cloud. And the guys that are sending that signal or getting all my information, maybe they think about that, maybe they don't. But it's far broader when you look at smart cities and you look at the applications that you guys are talking about with IntelliSite. There's a variety of the one of the better examples I've seen are some of the stuff that's happened in New Orleans, right? They've done a really good job of taking just just surveillance technologies, but applying it to flooding areas, things like that. So they can alert those folks and get the plunge up there. So there's there's the information flow within the ecosystem, what's valuable to that end user? And let's talk a little bit about this because you guys are bringing a hardware and a software approach to this as well as the monitoring approach. So you've kind of got our as IntelliSite's vision that the customers should be able to sort of pick and choose the pieces they can handle and then rely on you folks for some of the other pieces that maybe they don't have infrastructure or skills to deal with. Talk about that a little bit. Yeah, you know, I appreciate you bringing that up because it's really an interesting model and it's one following more in the traditional SaaS market than what we're accustomed to in the security integration capex market, if you want to say. And customers are becoming much more intelligent with the decision making process. And I love and I'm going to give a shout out to Andrew Elvish with Genitech at their Connect event last year, the last public event I got to do, had a great slide from Gartner on why people buy and you'll get a sale 30% of the time if you bring, you know, the customer the multitude of solutions and you'll help close a deal 50% of the time if you tell the customer what to do. But you'll actually get the solution and 80% close rate if you make sense. And that's what we're making sense of the whole ecosystem and to say, well, do you have just a software? Yeah, we do. But we also recognize it's important to be good stewards of investments we've made in the architecture. So what I love about IntelliSite is we may have this product called IntelliSense where we make sense of everything. What do we need? What do we need to add to the pot in the ecosystem?  Well, great, let's help enable that further. You already have a standard set in access or Bosch. How can we manage or enable that in these additional use cases that are outside of surveillance? You know, and also a big part of that ecosystem play that we never brought in before is the compute and process and how you get it to the cloud in that transmit. So we work deeply with the Verizon team, who's one of our big partners, and then just architecture partners like a WWT in smart cities or Dell and helping them to bring that all together. So we have the ability, we own a product called DeepLogic, which is AI, and all of this doesn't make sense unless you can aggregate the sense making. So we can bring all parts of the pie together, but we look at what do you already have? You know, if in your IT stack, you're already paying for something around containerization with Kubernetes or with Snort and, you know, edge device protection, we're going to enable that, you know, with our professional pro services teams to help do that. But what we're going to do is we're not going to come at that piece of approach where you have to like put on this overarching big part of the platform. We're going to really containerize it to use cases. For example, in cities in Northern California, we actually have a district attorney who hired us to put applications out there because they had a mad greaser. And this guy didn't want to pay for recycling his grease. So he would roll up our different parts of city. I can't imagine what that band smells like. He'd throw the grease out and then the city cleanup was costing them millions of dollars in illegal dumping. So through LPR and placing this technology in the city, we're actually able to go and help litigate and help process that. So that's a piece of surveillance. But imagine in the city architecture, you place that surveillance out there to support this use case of keeping the community safe and clean. We have Verizon already out there. What if we added a leveraged piece of a gateway for, you know, the digital divide so that the people in the community during school hours, they'd have a broadband broadcast of ability to get on. So that's what I love is how do we piece the ecosystem together with all of the right things down to like, what kind of metal are they running on in the data center? How are they pulling it? How does the IT come together?  And for me, the passion is around this part of how do you fund more opportunities for being able to get the right type of solutions? And you have a passion that you've talked about on the island of helping those that are in a homeless situation. How do we enable the homeless to self advocate in more ways? How do you give them access? And one of the things that I love about our logo is that you look at it, the bottom base is the focus lens of a camera, but the rest of it is what's coming out. And that's really the community aspect of how do we turn this into more of an open, transparent ecosystem. And that's the key in ecosystem. The word is trust. And then, you know, we only have 30 minutes. I'm talking 100 miles an hour. So just, no, it's awesome. Yeah, it's, yeah, it is a, it's, it is a big topic. So it is, it's, it's deserving of its time. This, let's take a piece of this out. We, you touch briefly on the idea of the surveillance camera doing part of a job. I don't think that a lot of the audience understands that there's a lot more information in that stream of video, right? The everything that happened in the background, I may be looking for a person, but or someone with a blue jacket, whatever it may be. That's the, the old school stuff we've always done. What about all the other the weather that's shown in that camera, the traffic that's flowing through that intersection, all that other information is where it's super valuable. And where we can use this sort of data gathering capacities and then bring that to someone who it makes sense to someone, the traffic engineer may need to know, he may see that his lighting, you know, the red lights aren't turning at the right time of day when they should. So there's things like that that I think that a lot of people don't understand how much information is there. And that, that's a big piece of what I was reading about what you folks are doing is you're helping them to aggregate that. Have the, have the engagements been where you have to kind of teach the customer what's possible or do they come to you and say, could you do this? And then you guys just kind of show them the way it could be done. You know, I find it interesting on this side of the world when the customer isn't from the foundation of security, where that's where we grew up, right? The culture, the thought thinking is different. When you come from process flow management and IT, the art of possible, which is how do you protect it? So I love this side because you do get a lot of in the idea sessions when we're really looking at use cases and what keeps them up at night, how can we solve this problem? And it in, in lies the data. One of, again, a throw to the global X team that I learned is urban development is really where the monies are going to be at because communities need to be able to drive a happy pleasant and productive place where we live and work. And the way in which that we structured our urban, you know, sprawls it doesn't service any longer. So I thought it was really intriguing with an intelligent traffic group in Northern California, where they're actually looking at point to point destinations and they're zip coding it. So they can't, it's all blocking. So you don't know it's this person, but you can see their zip code orientation or origination to where they're going to. And now they're deciding based on velocity and speed and different things. Wow, you know what? We need more lanes there, less bikes. We see all bike traffic going this way. And so that's what's pretty cool is that they're using that technology to really map out how to put in, and where to put in parks and family areas and how to develop, you know, the technology in the space. So that's really cool that we're driving data. Another part is neighborhood watches. They're taking it back by using dual streams on technology. So it's not we're watching you. A lot of cities are saying, hey, we want our neighborhoods to own their own, you know, spaces and places and have that transparency. And they better know that that's a nefarious character. That's just Uncle Joe sitting on the bench, you know. So that's, you know, a big part of what I'm seeing happen and what we're doing with technology and the value that we're providing to a lot of folks. And when we come back, we'll talk about vision zero. And I want to talk about how that's enabling a lot of about 300 cities around the U.S. and their vision for the future in the space. Okay, awesome. We'll be back with vision zero and Holly Hunt. You guys stick around out there. We're going to take a one minute break, pay some bills, and we'll see you shortly. Hey, welcome back to Security Matters. We're talking with Holly Hunt and going through sort of some of the stuff that IntelliSight's bringing to the market. You know, IoT is not new, but it's evolved. It's maturing. And the solution sets that are starting to roll out are viable. They're reliable and they're helping solve problems. So Holly, you wanted to talk about one of your favorites. Well, it comes down to intelligent traffic systems and knowing the flow of a community is really the secret sauce. It's what everybody needs to know so that we can better plan and prepare for the future. And so I wanted to share an initiative called vision zero and you can Google that. It's all over and it's about, I think 300 cities across the U.S. are taking on this mission and this goal to have zero pedestrian fatalities, zero emissions, and zero traffic by 2030. How do you get there? Well, first we have to know what there is, right? And that's where in the intelligent traffic systems, you began to see that we're actually tapping in to some of those light cameras that make the lights go back and forth. And we're beginning to really look at the patterns of traffic. There's an amazing use case on our website. It's almost like such a heartfelt documentary because the city of Sacramento was really trying to overcome this mission, you know, impossible. And as we're out there filming, an actual sheriff car almost cuts us off because it shows you like the initiative. And so a lot of what I think is going to be necessary in IoT is really around public awareness and around really helping to educate the importance of being, having better flow and having more pleasant experiences as we move through our communities and safety and, you know, smarts around it. So that is a really cool thing that they're doing and I encourage people to look up vision zero because there's a lot of opportunity to help support it. And I love how vision zero brings the architecture of access and broadband because that's a big thing we're missing in our communities for inclusion is allowing everybody to have access to data and information. And the digital divide is the other big mission that I see is amazing where we're going to make sure, you know, that we're providing the ability for everybody to go to work and go to school remotely or, you know, wherever they're at. Yeah, I was going to say we have a, we have a lot of pedestrian, pedestrian sitout here crossing, they've, they've essentially allowed left crosswalks where there's not an intersection, right? So it's out in the middle of a major road, it's left over because that used to be a trail, like a path, right? And so these people need to transit there. And oftentimes, unfortunately, this is our Kapuna. So these are 75 and older. They don't have a digital device in our hand that we could send them an alert to like, don't cross the road right now, right? They don't, they don't know. So this, this, you know, to your earlier point about acknowledging what the ecosystem has, how do we alert all the partners, how to make this valuable to the, because the city definitely doesn't want to have pedestrian incidents, right? That's bad for tourism and many other, plus it's terrible. But, you know, when we really need that end user to be a part of the solution, but they're not enabled, right? That's another problem, right? So we need, we need to be able to have some, some other way to alert them that it is just not safe to cross the road right now. And the sign, the signage hasn't worked, the sounder hasn't worked. So, you know, maybe that's, you know, there's just some, there's more work we can do there. And so vision zero is such a great thing. And I don't know if Honolulu is a part of it, but I'm definitely going to take that to the city because it's a, it's something that we need here as well. Right. And a big part of that is all the sense making, Andrew. And that's what I love about IntelliSight, a big part of our solution set is our deep vision AI and that it's within really taking all of those data streams and aggregating it and finding out all the patterns that we get the sense making, you know? And that's a big part of it. You'd asked earlier about, you know, what is IntelliSight, you know, for myself, one of the aha moments of being hardware centric and growing up and selling all of this, you know, intrusion, vision, video, access, control out there. How do I take everything I sold before and help people not say, oh, that's no good by this now. It's like, what do I add on to it?  But in that same set, you know, you could have some thermal detection in it and be able to enable your COVID compliance standards. And so it's, I love that piece of it, but that doesn't stop there because that's really where we need to go to the ability to go to the cloud and the gateway. So we have the whole service set to take you there, but most of all, we have the ability to crunch and make sense of the edge, you know, with our compute process and having that AI and intelligence at the edge is really what enables those IoT devices.  And I call the magic maker because I have smarter guys than me that make all the magic, but it's what I've always needed to get past my present. And that's what I love about what we're doing at IntelliSight is it's really creating harmony and taking the ecosystem so much further. I had talked with some folks about this before and I don't know if it's possible yet or if it's part of what you folks are doing, but are we, let's just take the example of trying to search a room for a person. And let's say it's a room of 10 people. And let's say we could do that with what we with the compute on the edge device. Now let's just say we fill that room with 10,000 people and we still need to do that. Can we dynamically take that search? Because we say now we need the power of cloud to search that many people. Can we do that dynamically today? Can I say, hey, run this on the edge until the edge is overwhelmed with compute need and then dynamically throw that up to the cloud? I think it's you can then, you know, if you have the right edge to compute that piece, right? Because that's where it's all at is what kind of GPU do you have at the edge. So if we're looking at a stadium or, you know, like a mass amount of people type application, you definitely have to do that right now on the prim. But what you can is identify the bolo, send it up to the cloud, instantaneously, if you have that right, you know, edge compute process happening. And if you have the right team and the right ecosystem to help you leverage that, a lot of cities, they already have that metal, we're already leveraging what they have at the edge. They don't even, you know, realize that because not all the stakeholders were sharing what they had to bring it together. So that's exciting is you do need to have some guts. And that's what's, you know, what we do that's really different with our UIG is we have a lot of guts at the edge to push that. Now, if you're going to be in that multitude of counting the depth that you're looking at, you're going to need a little bit more guts to put that kind of a solution together. But absolutely, the art of possible is all in what the limitations of the architecture and how to push it. We're also our sister company, Broad Sky is a broadband cloud provider, which I'm just learning about. But the cloud is really cloudy, right? I love someone who made that. My, um, your friend, Bree Moniz, you know, she said yesterday, like the cloud gets pretty cloudy. And I think maybe even Phil said that somebody said it, but it was just really dawned on me how great we have the ability to enable folks to manage that because one of the things that when I started doing research for today, I came across an incredible website on IOT and it's all of, you know, the great technology companies out there making sense of this. And one of the things that they said right here is that is the key things to getting started and measuring success is how enabled is your ecosystem. I mean, all of it and going to the cloud gets really challenging. And you know, they kind of outline the four steps of IOT success. And it's really to understand the issues that you need to address. And that's sense making, right? Of helping people not be limited and what keeps you up at night. And then the step two is consider the type of architecture.  And that's really what has stopped people in the past is they didn't understand fully how to bring it all together and the depth of the bench you need not only architecture, but also in architects, right, to get us there. And then, you know, the IOT platform, it's not one. Again, it's an ecosystem depending on the overall business enterprise or community and what they're trying to pull together and protect. And step four is really looking at how the platform supports new applications in the future. And I want to talk about the future for a second. The IOT computer vision industry is projected in 2023 to be 48 billion dollars. That means every security customer out there, everyone in our industry, if you've ever sold a camera, let's make it smarter. If you have multitude of access control platforms and you can't really get everyone into a single pane of glass, how do we leverage the right alarm signal sensors so that we're not ignoring 95% of it? You know, what's going on? So I mean, that's what I think is pretty interesting is the sense making, you know, that we're getting out of IOT. And then just some of the stats that I wanted to share with you is 55% of all data is, you know, forecasted to be generated in IOT by 2025. 55%. So how much of your pictures when you went on vacation this week? Did you take their grade? There's like 300 of them now and you pay them to watch and never look at them again. Yeah, exactly. You don't have AI at the edge looking at our camera, at our pictures for us telling us what's smart to save, what's not, what's going to be a future weak signal, key indicator, something like that. So that's what I think is interesting is that what we're going to be able to do in sense making, security industry is no longer security, it's sense making and flow. And that's kind of harmony, right?  She said, well be you. And I'm like, is this too soft? And she said, why does security have to be hard? Nice, I like that. You know, we're all about protecting lives and property, right? It started as guards and guns, right? We know that we all came out of law enforcement and the military, but it's long since been something else. Long since been about that connection with people and what keeps them safe and what makes them feel safe to engage with their community, to gauge with this ecosystem that we're talking about. So, you know, how do we, how do we enable that form sort of all around them without them having to, having to engage with it when we just protect them? That's the softer side of that. I think it's important to recognize that nobody, nobody really likes to run up against the locked door, right? You know, it's always been a problem. The one where there's no intercom with no help and you're just standing there like what do I do next, right? That's when security failed. That's really what it does. And that's where I'm really intrigued the future of what mass comm platforms look like and how we're all going to be sharing Slack channels or Teams channels. And, you know, I have a vision where our UIG will get people there. So, while I go out and, you know, invest in even deeper platforms, use the tools that enterprise already have, you already paid for Teams, you already paid for Slack, or whatever that internal piece is, let us drive the right data there for you. I want to be about being transparent. And that's where you get your stakeholders, to lean in and say, yeah, that makes sense. That helps me to have a more pleasant experience, you know, here. And I think that's what we're all about, driving an IoT is how do we make sense and make life more pleasant? Yeah. So, we've got a minute or so left. I'll let you close this out. What's your, you could give us your vision of the future or whatever, whatever you'd like. Well, I really like to share a little bit about, you know, Intelistite and knowing that we have such a large ecosystem here, we grew up, you know, from an integration company and then identified that really the value is how we bring it all together. And we're now coming to the market and really building ecosystems and channels. And we really can drive additional value to what you're already delivering for your customers out there. So, if you have a contract vehicle and you want to add more sense to your security, I would love for you to reach out to us and figure out how we can help bring that value to you, because that's what I get excited about. We don't need no more stinking cameras, right? Let's go figure out the ones that we have. A lot of customers out there say to me, some of these huge, you know, customers, you know, a big social media company says, gosh, we have 14,000 cameras and 20 some thousand doors of access control. Leadership says they want those things to actually work for us, you know, make more sense than just, you know, keep people out. So that's what I'm excited about is that we really lean in and we have a holistic approach of enabling however we can provide you value. We have a platform, we have deep projects, we have AI, we have intelligence, we have design, we have a piece of hardware. But what comes down to it is we really need a healthy ecosystem to go enable all the customers. So as the organization has been built a direct market, we're really looking at how do we enable the ecosystem and how do we build in channel strategies and partners in there. So if you are able to make more sense out there, you know, let us know how we can help enable your success in driving some additional values with your customers. Yeah, I love it. Thank you so much. Sense making, right? IntelliSite, check it out. Add some sense making to your security. Talk to your customers about it because this is the conversations you're going to be having now and in the future. Holly, I really appreciate you spending your time with us today and sharing your excitement with us. I think you're right in a great spot and we'll just have to keep checking in on an annual basis on how this is going because it's going to continue to get, I just think more and more leveraged. I think it would be fun to have a use case call where we can say and show you like what people are doing in the world to make sense. It's mind blowing what we're mitigating around risk and some of it's kind of funny. All right. Thanks so much. All right, everybody. Take care out there. Aloha. Aloha.