We don't matter, we don't matter, pod going up. Nobody clicking back now. I just got some more subs. Then things were back to back to back now.  You know party in the weekend. Ain't got no motherfucking time to wrap on every podcast. That's why I need your help. Let's go. I wish I could post music every podcast that would be dope. Anyway, having a lot of fun with that. What's good? Good morning. Happy coffee time. Happy morning. Happy birds chirp and we're up.  It's topic Tuesday. Welcome. That was the song Tuesday, if you didn't know by Drake. Is Drake's new album a care package, a mix of old songs and new songs? I don't know. Do I think that they're all old songs because I don't know if I know all of his old songs? Yes, but there are some that I haven't heard, which is on me, but I like the old ones as well. And I've been listening to it. So now Drake's on my mind, but what else is new? Nothing else is new besides that. First off, got to shout out to Max out muscle. My boy Corey G. Fitness sent me Amino's pre-work. Oh, this is pre-work. And I got to stay away from that this morning. And yeah, and CBD topicals. I love the CBD topicals.  And then all of a sudden it gets in my brain like, oh, I know it's seeping into my skin. The next thing you know is healing whatever it does. I don't even know what it does, but then I just let the psychosis take over and we're good. Topic Tuesday, I have the paradox of choice. I can't think of any new T words. So we're just going to keep it as much as I can. So before I forget, I want to give some recommendations. First off, Apple Music and Spotify. There's this new artist, Steven Sallie. He put one single out enjoying. It's on, it's on like live audio platforms. It's incredible. It's funny. I use this. If you're curious, I use this thing called DistroKid. It was some, you pay money for the year and it's, it's on there for a year. So go check that out. It's pretty crazy that my stuff's on Apple Music makes me feel, I'm actually not worried, but what's the word like embarrassed because it's like a real platform now. It's not just like SoundCloud.  And the other thing I wanted to recommend was Aubrey Marcus. I'm going to listen to his first new podcast today. Aubrey Marcus is a huge podcast that I really like. He talks about spiritual things and the journey of life and just overall, a lot of topics even on non-Tuesdays. And he's great. And he came out with a series yesterday about books. So he's going to go over his favorite books and read an excerpt from it. So I'm really excited for that because it feels like he's going to be the nugget excavator that I was early on in this podcast where I read a book and gave you the nuggets I liked. And I really respect him and love his information you always give. So I'm excited about that. And I wanted to share in that. And I posted him on my story and he replied, was it actually him? I don't know, but it feels good. And it'd be, it's pretty cool that he, am I famous now? Yes, I'm famous now. Anyway, I had too many dreams. One of the dreams was, what was it? It was funny. Oh, it was like the biggest storm of all time. And it was, I went to sleep yesterday, it was raining. And it was raining like insane. And then it cleared up and it was like the most stars ever. And they were like moving like crazy. But I had too many dreams. I can't remember them. Did I have trouble falling asleep last night because I was anxious to do this podcast. And I was like thinking of ideas. Yes, was my heart racing? Yes, was it because of the pre-workout? Probably. Did I look at my Fitbit? Did I be like, man, my heart's really pumping and look at it to the 123 beats? I was like, Jesus. And I started like writing stuff because I'm like, I gotta wait for my heart to calm down before I'm even gonna get a chance to sleep. Then did I realize that that was the wrong indicator? That was like the weird energy thing that they have. And my heart was normal. It was around like 60. I was like, oh, I definitely just was in my head because I thought it was 120. I'm like, oh yeah, it is beating pretty fast. So I don't know what it was because I only had a little bit of pre-workout. Tastes really good. But I don't, I had to wean myself onto it because I usually only have coffee. As you can tell, I don't really need much to get me going. And so the pre-workout was good. Jumped yesterday, hamstring feels pretty good today. We shall see. This is how I want you to approach your training. I don't even know what this podcast is about, but I have a couple, maybe it's mindset. What could I say about mindset? There's three things. One, I'm gonna try to keep it coherent, ready? Was there anything I missed before I get into this? Think that's it. One is how to approach your training, which I'll get into, how I'm doing my training. Then your body's a potion. And the last is how to flow through life. Ready for this? Packing it all in. I was thinking that these are good different ideas, but I'm packing it all in so you get so much value because tomorrow I'll just bring even more. So my training, yesterday was like the first day of rehab jumping, meaning I wanted to go to the gym and jump to get that stimulus because I need that high intensity exercise to keep my body regulated. I'm feeling lean as shit, which is what the body of potion is part is about segment two. So I'm feeling really good, but jumping is a really great high intensity workout that I need to keep regular because if not I have to figure something out because I lift too, I lift my upper body and like my scheduling of eating and different things like that, I need that stimulus of the high explosive activity. That's why I'm doing a lot of muscle ups to keep that explosive mentality. Not just me, but like my body to think I'm working explosive. So anyway, my hamstrings hurt and it hurts when I take long strides. So I try to do a high intensity workout with jumping that doesn't entail, doesn't include is the word I was looking for, long stride. So I did vert jumps. I did very slow approach, where I take a very baby penultimate. I didn't feel the pull in my hamstring. It's still hurt, but not nearly as much as a full approach. So I'm thinking if I'm gonna, it feels pretty good today. It doesn't feel worse. So I'm gonna see how it goes. If it doesn't get progressively better in the next week or two, I'm gonna taper off even more. So yesterday was like a test to see if I can handle that. And then I did some like squat holds where I just like going a really deep squat.  They're super tight, which is making my lower back super tight, which is pulling my hamstrings up. So if that makes sense. So all of that is connected. And my main issue is a hamstring, but I don't think my hamstrings are actually loose. They're just getting yanked up on my lower back, which is getting pulled up because of my tight hips. It's like my hips, if you're looking, they're like rotating. It's like a circle.  But my hips are super tight. And I know it's my hips because I have like such limited mobility in all exercises using the hips. And I always have and I don't, I have really not the most, the best anatomy, but still I can improve. And here's the thing on my last, one of my Instagrams, people talked about my squat form. You don't need to go that low, but for my case, since I'm so far gone and like the flexibility will alleviate tension on my hamstrings, I believe it's necessary for me. And there's just a level of flexibility. I feel like there's a level of flexibility that's healthy and some that's like unnecessary. Not that it's gonna be a detriment, but it might be, it also is like the more flexible, the better, but you have to have like the jumping stimulus. So you don't wanna just be like super flexible and not doing any jumping.  So you don't want that, but you gotta figure it out. Now back to the bodies of potion. My body's the leanest it's ever been. If you see, I'll post it right here on this podcast.  My body's the most defined it's ever been, but I'm like the same weight. I have more muscle and that's crazy lean in the way. I like to think about it. It's all my diet and it's more about, I was always eating healthy, but now it's about getting different nutrients and also the timing of things. And the way I can put it, I'll try to go into the diet. Maybe I'll have my boy Justin on another time because I don't even really know why it's working. I just know it's working because I was like consulting with him and also I'm starting to, I've been thinking about it for the past few months, three, four months. So as I eat something, I kind of see how I feel and you build that awareness and that's how you have to go through all your training.  And so when you're feeling crazy lean and crazy healthy, that means you put all the chemicals in with the right amounts at the right time. So like I said, you have like 20 different things that go into this one potion to make the magic happen. You can't just dump them all in at once. You can't put like potion three before potion nine, whatever it is, or I guess you would put that, but my point is like whatever the order is, whatever the mixture is, you got to put them in at the right amount, the right time.  So that's how you got to feel. And a quick tip on like what I do is I intermittent fast. I usually have some coffee and then before the gym, if I go to the gym in the afternoon, I'll have some fruit because I feel like that's good for my muscles to have that like energy.  And then I go to the gym, work out and then after that, I have more like dates, like really high concentrated sugar fruit, but only a couple of them. Let my insulin spike and then I have my protein and my veggie drink that has all these nutrients. So just absorbs those nutrients like crazy. And then I have my big meal and that's kind of how it's been working. And that's pretty much the most of it, but then it's just about the hydration, different things to look crazy like with your veins popping out. And that's it. And the last thing about everything is like your mind. It's all about flowing, right? So yesterday when my heart was racing and I was writing down ideas, sometimes I'd have ideas come to me like crazy and I'd go off on tangents and go nuts, but then when I was like, okay, I wanna keep doing that when I like consciously tried to do it, it was like a block. So it's the fine balance of just being in the moment. So you can't force the words to come out as soon as you try to think of words. If you ever try to do a podcast like I'm doing now, I can't say, okay, what am I gonna say? I just have to kind of do it. You have to do it as you're thinking about it, but not you have to just be aware of it. It's really tough to explain, but I actually came up with an analogy to think about it. So if it's more for creative things, but it's also when you're working out as well.  And when you're trying to, say you're trying to make a song, if you're trying to say like, okay, I wanna come up with a line right here instead of just letting the thoughts come to you or if you're trying to come up with an idea or whatever you're trying to do creatively, you have to let it come to you and when you're trying to force it, when you're trying to force words, you're going to be paddling down the river instead. It's like the current's not moving and you're paddling. So all your energy's going to paddling, but if you're able to just like relax and let it come to you and be in it, be in the energy instead of try to force the energy. For example, comedy is a good one. It's like you're trying to be funny, you're forcing it, you're paddling, but if you just wanna like enjoy being funny and kind of think about funny things and make yourself laugh, then you're on the current, you're flowing and what that means is that you're not paddling anymore. You get to just like enjoy the current and look around and that's the key. You get to look around, you get to look at the sky, the trees, observe things and you get to be in the environment while you're traveling, does that make sense? So that's the analogy and that's kind of how it feels when you're in that zone, when you're in that flow state and that flow state is like the best feeling of life and how I use it last night is when I was trying to sleep since my heart was racing a little bit and I was a little anxious, I was trying to sleep and I was, I usually can meditate or I just focus on my breath and that kind of relaxes me, but I wasn't relaxing and I think cause I was like I wanted to sleep so badly cause I worked out hard and it was just tough. I was just like, I wasn't, I had a good day, I wasn't that tired yet. So I was trying to sleep, trying to sleep and I kept thinking like go to sleep, go to sleep, go to sleep, which I usually do and then I meditate and it goes away but I couldn't do it. So then instead of trying to do something, like it's like your brain needs a task, I started thinking how comfortable I am which is what I do when I meditate anyway, I'm like, you know what? If I don't fall asleep, just enjoy laying here. So then I just enjoyed laying there and then I felt my body relax finally for the first, it was like, I was laying there for like an hour before I felt relaxed. So like the second I let go, it's that art of letting go and being in that moment, it's the same type of thing. It's like I was trying to sleep, trying to meditate to sleep, trying not to think and I do that a lot, but it was a different feeling and it's hard to find the right way to use your mind and that is it. Let's go to the on this day in history. Thanks, that was it packed. Hope you enjoyed today's episode. I'm gonna go back to the tutorials too. I know you guys like the dunk tutorials. Please let me know what you thought about the last one and get the last two, which is the windmills, the easiest dunk and the lob off the dribble, the off versus off the dunk off the lob. All right, so on the 20, because I love doing those tutorials, but I need more time for those, bro. I need more time for the wraps. I need more time for tutorials. If not, all you're gonna, if you don't help me out, all you're gonna get is such valuable nuggets like today on topic two is that your top is gonna get so turmoil. Okay, August 27th. Oh, I love when they're old ones. 479 BC, Greco-Persian wars, the Battle of Plataea. Persian forces led by Mardoneus routed, but how do they know these people?  Isn't that crazy? These people are real. Battle of Mikael halts Persian invasion of Greece. What's happening? Oh, is everything still recording? Why does it sound like it stopped? Sorry. Oh, it's still going. Sorry. 1883 Krakatoa volcano, west of Java and then erupts. Damn, okay. Today in film, 1964 Walt Disney's Mary Poppins premieres in Los Angeles. Music too, Mary Poppins. Oh, that's in music and film. Wow. 2004 German kayak or Burjit Fisher wins gold in K4 500 meter. Cool. All right, now we got a special dunk lifer of the day. It's my boy, Spaceman G.  It's a review on the podcast. Five stars, baby. Hashtag ID F-A-G. The show makes me wanna, yeah, I'm like it's Thanksgiving day. Quick question. If you could choose any one beverage in the entire galaxy to replace water, what would it be? Oh, this beverage would replace water in all ways and have the same health benefits. I'm personally thinking you, but I don't know how I feel about having brown oceans. Oh, scrumptious, so conflicted. WW's SCD. I don't even know what that means. What the f- WW, what would Steve and Sally do? Oh, did I get it? I think I got it. Oh, that's hilarious. If I could replace water in, replace water in all ways.  I thought you were saying, okay, for a new show. I think that the new show is gonna be awesome. Place water in all ways. Hmm. Can we do coconut water? Cause then everybody's hydrated, let's think. Oh, it would make everybody better. I don't know, man. Electrolyte water. I don't wanna hurt the fish though. I don't wanna hurt the fish. I don't want brown oceans either. I don't know. I'm gonna go with, if I had to pick one, I'm gonna go with liquidation. That's my answer. Also, if I do a reverse between the legs, is it a West Bay? What if I'm facing Jerusalem? Toodles. If you're facing, if you do a reverse between the legs, yes, it's a West Bay. Don't hold me to that. But I'm just making it up and yes, we can create whatever we want. We create our own reality. If you're facing Jerusalem, let's call it, I don't know. What should we call that, the fucking, what do they call that when you travel? Pilgrimage Bay? Pilgrim Bay? Go to the homeland, the home bay? Call it the home bay. All right, that's it. Toodle-loo. And I can't say anything after that except I'm saying it now. So have a great day. I'll see you tomorrow. Toodle-loo. It's Dung Life. Oh, that's the anthem right there. Trying to make an intro, ended up making an anthem. Oh, hey.


Lessons of 2022 hang out with your friends or go on that date memories are worth so much more than missing out because you don't want to be tired the next day inner peace is everything if you can learn to harness inner peace within you then you can do anything and you can build the most beautiful life that you could ever dreamed of do anything you need to to find and harvest embody that inner peace if you're looking for some videos on how to find inner peace i highly recommend exploring my pages i have a ton of videos about them


This is stock number 7T334A. We are here at Summit Automotive in Fond du Lac, Wisconsin. You're new and used Ram heavy-duty truck headquarters. Today we are checking out this extremely clean, extremely sharp looking, probably one of the best looking trucks on our lot, a 2017 Ram 2500 Crew Cab Short Box Power Wagon. This truck has a 6.4 liter V8 Hemi motor, which pumps out 410 horsepower. The power wagon comes with the painted and polished aluminum 17 inch rims with the Goodyear Wrangler Dura Track tires. These tires have almost all the tread left. You can see that the frame and underbody is absolutely perfect, very, very clean. Bright white is the color. From this HD video you will be able to tell that this truck is like new all the way around. It has a 12,000 pound worn winch on it, which is from the factory. You can see that the front bumper here is kind of like powder coated. It has the front sonar. You get the ram stamped front grille, projector lamp headlamps and the LED running lights. The passenger side rim, I know there is a little bit of ice on it because we just washed it, but absolutely perfect. No scuffs or scrapes. As you go down this side of the truck you can see just how clean that body is, how reflective and glass like that paint is. We take these HD videos so if you are far away or even if you are close by and you just cannot make the trip down, you can still see the truck, hear the truck and of confidence in what you are looking at before you even get here. I didn't see any dents or dings down this side of the truck. Factory painted step bars, absolutely perfect. Back rim is an excellent shape as well and the back tires have just as much tread as the front tires.  Absolutely perfect and it is like that all the way underneath. One of the cleanest trucks, one of the sharpest trucks we have on the lot. So these power wagon on the side, those are just graphics. You could take those off if you wanted, but I think they look sweet so I would leave them on. Back sensors are back here. The rear bumper is in absolutely perfect condition. Full towing package, excuse me, has the receiver hitch, 4 pin and 7 pin wiring.  A spray and bed liner, you have the LED bed lighting and once again we just washed it and it's about negative 5 degrees here so that's why it's squeaking, but once it warms up it will not do that. As you go down this side of the truck, just as clean as the passenger side, I can honestly say I didn't see any dents or dings anywhere on this truck, very very clean. Has the heated power fold in mirrors.  There are no rips, there are no tears, it has the power wagon stitched into the backrest, very very clean. Both of these seats are heated and cooled memory driver's seat. You get the factory all-weather floor mats throughout. Power windows, power locks, like I said those power fold in mirrors, just like that. Has the auto headlamps and you can see it has the 7 inch TFT display. This is a special power wagon instrument cluster, the 7 inch TFT you can see as the compass temperature mileage, you got tire pressure monitoring, all that good stuff in there, and each one of those corners is customizable. See the truck has 4,475 miles. It has the heated leather wrapped steering wheel, cruise controls, Bluetooth audio controls. This one does have the Alpine sound system, the 8.4 touchscreen radio, so you have your heated and cooled seats buttons right here. This one also has the cargo cam, so you can see what's going on in the box of the truck. You can also switch it to the backup camera, so when you're pulling up to a hitch it's a really nice feature. And then this is nav capable, it does not have nav on it right now, but you can definitely add nav for $5.95 through the dealership, so ask your salesman about that. Dual climate control, factory brake control, you got your heated seats, heated steering wheel buttons there as well.  It has the 4x4 shifter on the floor, also has the keyless entry with the remote start. Enter and go system, push button start, so you get the, this is what makes this a power wagon, you get the sway bar disconnect control right there, you also can lock the front and rear axles, which is a special feature which gives it really a lot of off-road capability that you normally wouldn't get with a normal three quarter ton. Passing your seat, absolutely perfect, no rips or tears on that. Factory all weather floor mat on that side, up here we have the power sunroof, power sliding rear window, and the home link system for your garage doors, lighting systems and security systems. It does have the 40-20-40 split bench seating, so pretty nice feature if you had to sit six people in here. And we'll take a quick look at the back seats and then we will check out under the hood. Back seats are just as clean as the front seats, no rips or tears back here. This truck by the way, never smoked in, locally owned, bought here brand new, serviced here, power sliding rear window with the built-in rear defrost, serviced here, it's whole life, and traded in on a brand new one. You can see that these seats, they do, back here you got this load floor, so if you got muddy boots or even dirty tools or something, you can put them back here or if you got pecs you can put both sides down, it's a nice flat surface for them to lay on underneath. We have the receiver hitch sleeve, and this is for the winch, to control the winch, factory all-weather floor mats throughout, and you do get two storage bins back here to put ice and drinks and all that cool stuff in. Very nice truck, highly recommended, very clean inside and out, locally owned by one of our very good customers, and just a really, really nice ride inside and out, 6.4-liter Hemi motor, engine bay is very clean, runs very smooth, this truck has been fully safety and inspected by our service shop, has a fresh oil and filter change, all the fluids have been checked and topped off, and this truck is 100% ready to go. To see more pictures of this truck or one of our other 400 new and used cars, trucks, SUVs, minivans, wranglers, you name it, we got it, go to our website, www.SummitAuto.com. Full pictures and descriptions of every single vehicle on our lot, videos of every single used vehicle that we have, all at www.SummitAuto.com, thank you so much for checking out the video. If you want to make this truck yours, give us a call right now,<PHONE_NUMBER>, ask for one of our sales associates to make this truck yours today. Once again, that number is<PHONE_NUMBER>, thanks again for checking out the video. If you like this truck, want to check out more videos like it, go to www.youtube.com slash www.SummitAuto. Remember to like, subscribe, and share on this video and those. In fact, any second you'll see a link to subscribe to our YouTube channel on your left. For some more heavy duty truck videos like this one on your right, if you haven't been on our website on the bottom, link to this truck on our website, click those, check us out, and we really look forward to helping you with this super clean 2017 Ram 2500 Crew Cab Short Box Power Wagon. Thanks again, that number to call is<PHONE_NUMBER>, thanks.


So is it the beginning of the end for the real estate market? Maybe? Maybe not. But it doesn't matter either way. Here we mix of Orange Beach and Xeridami.com. Today we're going to be talking about this new market that we're in in 2018. The real estate market is losing some steam and this is happening all across the country. Before it gets started, those of you who are just watching me for the first time, I just want to let you know that everything I do is 100% free. I'm a real estate coach, speaker, author, and everything I do is free. There's a free course in the link in the description of this video. You can go and take the course. It's something I used to charge for. It's even better now than when I was charging for it. The information is golden. I'll tell you everything that I know about selling real estate over the last 16 years, everything that I wish I would have known when I started and how I've built my business to 100 deals per year as a single agent for the last five years running and over a million dollars in GCI. A couple of weeks ago, I did a video called What If the Market Crashes. It was a video basically that I talked about how the market is slowing down and what I learned through the big crash of 2007 and 2008 and everything I learned in the mini crash that I had in my market as a result of the BP oil spill. Basically, I explained exactly what to do step by step, which I'll touch on in this video as well. I did that video a couple of weeks ago, and now I'm looking at videos from other real estate YouTubers talking about is the market crashing, the market is crashing, so on and so forth. This is not something that's just happening in my market. This is happening across the nation, like I said. I read this article from an agent over in California. She's in Southern California. It's called Southern California Home Sales Crash, a warning sign to the nation. And if you're reading here, it talks about some real facts, as in the sales of both new and existing houses and condominiums dropped 11.8 percent year over year. Okay? Prices are up from last year this year, but transactions are down considerably. If you look at my market, for example, the condo market in my area, we're in May, we were down 20 percent year over year transactions. In June, we were down 30 percent year over year transactions. So these are big, big numbers and the market is absolutely changing. For the last six years since 2012, the market has done nothing but rise. Number of transactions are up every year. Prices are up every year. So it's been a very healthy ride up. It hasn't, I wouldn't say it has shot up in an unhealthy way. I believe it's been a very strong gradual climb, but now it's starting to lose some steam. Things can't just keep going out forever. And I think the mark of a really good real estate agent is spotting these changing markets and going with the flow of the market and adapting your daily habits and how you go about your business and how you're consulting your clients. I think that that's a big, big reason why you have a lot of people that drop out of the market when the market crashes because they don't know how to handle a changing market. They don't know how to adapt. They don't know how to change up their game plan and their mindset. And this was me back in 2007 when the market crashed. I had no idea what to do, how to do it. And I was forced out of the business because I didn't have the knowledge to continue on and finding those deals. So is the market crashing? If you ask me, no, I don't think it is crashing. Nobody knows. If anyone tells you that they know what's going to happen in the future, they're probably trying to sell you something. No one knows what's going to happen. No one can predict what's going to happen. There's a lot of gurus out there that say the stock market is going to crash and that the real estate market is going to crash. But it hasn't happened. Now the real estate market is slowing down and the stock market has slowed down compared to what it did last year. But if you really think about it, I believe that we're just taking a break. We're just taking a quick breather in the market and we're going to continue upward. There is going to be a crash at some point. I could be wrong. This could be the beginning of a major crash or we could continue up for a while and then crash. Nobody knows. The good thing is that it doesn't matter if the market crashes or not. If the market crashes, let's take my market, for example, when the market crashed. When the market crashed, we were over 3000 agents in my area. That number went down to around 700. So we lost a good say 70% of the agents in my market. Transactions in my county went from 20,000 to the worst year of 10,000. So transactions went down 50%. Number of agents went down 70%. What do those statistics tell you? Well, they tell you that there were more transactions per agent when the market was at its worst. And that's very interesting because if you understand this concept, then you have a sense of security and you feel invincible to whatever the market does. Here's the hard part. The hard part is that the clients that buy and sell when the market's going up, they're not the same clients necessarily that are buying when it's going down. It's a different breed of client. When the market crashes or starts to go down or right now it's starting to slow down, what's happening is we're switching, we're transitioning. And there's some buyers that are putting the brakes on. There's some sellers that don't have to sell. This is not a market for sellers who don't have to sell. You hear that from sellers that we would sell, but we don't have to sell. Well, I'm telling those sellers, this is not a market where sellers who don't have to sell are going to sell. This is a market where somebody that wants to sell is going to sell. So these are the kind of things that you need as ammo. Also, the market statistics in your area, the listings, the current listings, the pendings, the closed prices, you can show your seller all this evidence of the market slowing down days on the market for active listings, prices of pendings, prices of closed sales, and that's going to prove to them that what they need to do is listen to you if they want to sell. You're the professional. You know what they need to do to get the job done to accomplish their goals. And so what happens when the market slows down is this. If you're not experienced, if you're not willing, if you don't have the skills to get on the phone and communicate with people, connect with people, read people on the phone, approach them in a very genuine intent, as in how can I help you today with whatever the case may be. It could be for self-owner, expires, circle prospecting, buyer leads, whatever the case may be. If you're not one of these agents who's constantly on the phone every day trying to dig up business, you're going to get left behind in a market crash. You're not going to survive. Your business is not going to make it because when it gets tough, then you have to dig deep and you really have to have those skills horned in. Now, if I were a brand new agent the day that the market crashed and I knew what I'm telling you right now, you could actually really clean up, really do well during a market crash. If you understand that you just need to stay on the phone, you need to talk to those 20 to 30 property owners every day. You need to come from a place of how can I help you, right? You need to build a database, an email database and send weekly emails every single week on the same day of the week forever. These are the things that you have to do to build a big business, to build a business that will sustain a market crash and really just climb the ladder and get to that place that you want to be. So is the market crashing? Maybe, maybe not. I don't know and it doesn't really matter. As you can see my under contract board behind me is full and I'm negotiating two more deals right now. I picked up three more listings last week. They're all priced right because I educated the sellers on the current market and what they need to do if they really want to sell. I also lost a couple listings because I was brutally honest with the seller about the market and they didn't like it. They didn't like the prices I was telling them that they would have the price they're listing at to get it sold. They didn't like it. They thought that I was trying to pull something over on them and they went to another agent who probably told them what they wanted to hear and what's going to happen is is that property is going to sit on the market. I was advising them on how to get the job done and they didn't want to hear it. So they went somewhere of an agent who told them what they wanted to hear and exactly what I told them is going to happen if they do that is what's going to happen. Their property is going to sit on the market. So just realize that you can't lose if you're doing what you're supposed to do every day if you're following my program. Guys if you're looking for a free coaching program that's what I'm all about. You can check the link in the description. You can sign up for my free course and reach out to me with questions. Also we have the Facebook group where we're holding each other accountable. It's an incredible community where over 8,000 agents in the Facebook group. I'm over 3200 agents signed up for the free course and everything is just moving in such a positive direction and we're really doing a good job of keeping all the riffraff out of the group and everything is very positive and we're just trying to help reduce the failure rate in the real estate industry. That's my goal. So again on Ricky Kruth click subscribe, hit the bell and let me know what I could do to help you. Talk to you guys soon.


Hey, good morning and welcome on S.T. Booth again. We are live and that's the best thing this year that we can meet with our developers and engineers. But you know, guys, I'm also very happy to see you and to talk to you because I'm sure you're interested to see and hear more about our stuff that we are showing here this year. So let's check it out together. You've been working on a lot of stuff the last three years. That's true, that's true. We did not stop. The situation was not easy. But our engineers and developers continue to work on the new products and the new technologies and we are definitely showing some of them over here. I've been looking forward to this moment for a couple years. Me too, me too. You know, last year we did the run over the digital platform but this one is much more better to be here together. And what about our guests? Yeah, yeah, exactly, exactly. So, you know, the first thing I would like to show you today is our demo and solution using artificial intelligence for people counting, people detection. And I ask Vincent, my colleague, to show you and explain a little bit more about it. Hi, I'm Vincent from the AI-MPU team and at the CIMA Correctorics. And I will showcase you in this spot. We showcase, okay, in this spot we showcase the AI on the MPU-SMS2-MP1 and we promote our ACMX AI package, which is a software package to run on the MP1 to demonstrate the people counting. Everything is done on the edge today and no private data is transmitting to the network. And so with this neural network running on the MP1 we are able to detect the person, detect the fit, just transmit the fit coordinate to it. And to display it on a virtual map, to display where the people are located today. What's the X-Linux AI? X-Linux AI is a software package that we deliver that my team is delivering to propose all the AI frameworks to run on the MP1, meaning that TensorFlow Lite is delivering it. We also deliver some examples and demonstrations. So it's optimized Linux for AI? Yeah. Unembedded. Unembedded and on CPU only today. And we also use one bot from the Sena system, which is a partner from us. And this is called the MP Cam that you can find on the Sena website. And it's a code board? Sorry? You can just buy it. Yeah. You can just buy it on the Sena website. And doing AI on the edge, it's really important to say energy. Energy and also privacy. So no sensitive data is going outside the bot. And going through the code. Can you also explain the demo a little bit? So we see some dots moving. For the demo, you can see some dots moving. So my dot is there. So now we see a long dot? Yeah. And if I'm outside the area, so this is my dot there. And you can try to keep her in an environment without providing some picture of the person and neither face recognition and so on. Nice. This is cool. Okay. Thanks a lot. Perfect. Thanks. Thank you Insan. Thanks a lot. So let's move on. And we'll continue on the subject of artificial intelligence, which is definitely one of the leading technologies that we are investing in too. It's a lot about the hardware, but many things around the software. So let's check what do we have here over here. I see we are quite busy, but that's good. So maybe we'll start on this side. Okay. Maybe we can start talking. Always customers here. Yeah, so maybe let me introduce you. Here we are showing the NanoHAI Studio. And maybe you guys are already aware that we have won the award in the category of software this year in the world with this NanoHAI Studio. So yeah, Basel, could you tell us and show us how this NanoHAI Studio could help our customers and engineers to develop and bring artificial intelligence into their project? Yep. So here we have a project using a time-of-flight sensor. And we are doing gesture recognition with this sensor. And it can detect if you're going left, going up, switch the blocks and going on the right. So you can do this and classify many different things with thanks to NanoHAI Studio and with NanoHAI Studio. We're just trying many different things I know because we've lost the vibration use cases, current use cases. And now the time-of-flight gives us many different applications and many different things to try. Can you show us the demo with the blocks? So going left, then you can go right. So there's a lot of applications for time-of-flight? It is, but the story here is we are using time-of-flight as the source of the data for the analysis. But you could have a different source of data. You could have a MEMS or vibration sensor as well for all the predicting maintenance. But the real beauty of NanoHAI Studio is that you don't need to invest hours and hours. And you don't need to have data scientists to collect thousands of data, clean them, classify them, and build your neural network model. What the NanoHAI Studio really does is from the basic set of data that you can collect directly from the application, it will select from thousands of different pre-trained models that has its own database, the best one fitting application, then propose it to flash it inside the microcontroller and make the real training on the micro, on the edge again. So the whole process and the time to implement such a solution in application gets much more shorter with low investment. Okay, so let's move on. As you see, so Basel explained the demo with time-of-flight. Here we have the solution also with NanoHAI Studio showing some predictive maintenance with sensors. And I would love to introduce you to Pierre, which is one of the fathers of the solution. So Pierre, if you can say a few words about NanoHAI. Absolutely, so should I look at the demo? Should we have a look at the demo? Let's go. So this is NanoHAI Studio, so this is a software solution by ST that is targeted for embedded developers. And it's for developers who would like to develop a solution including smart features like AI machine learning, but without specific knowledge in machine learning. So the idea is that you use signal examples coming right from your sensor, raw signal examples, and then you use them to find the best possible AI library that is the best specific solution for your application. And what is exciting about this solution is that it enables embedded learning. So you can learn patterns and recognize them directly from within the microcontroller, which is something very unique on the market. So here we're doing anomaly detection using current monitoring. Here we're doing anomaly detection using vibration sensing. So it can be used with any sensor, it's compatible with all STM32 boards. And it's also compatible with the ISPU board, which is a MEMS sensor. So in those types of applications, we're in the edge, we're running embedded AI in the microcontroller, but here we're pushing it even further by embedding ML learning capabilities directly in the sensor itself. So you know that every time you're getting closer to the data, it cuts the costs. So it's a huge breakthrough in the industry. Okay, thank you. Thank you. We can continue with our customers. Absolutely, yes. Have a good show. Go, thank you. Okay, so let's move on guys. Maybe the last little thing we also hear show on AI is similar to what you have seen with our MPU solution with the X Linux AI package. But here we are running also people detection and people counting, not on the microprocessor but on the microcontroller. And I let Guillaume to maybe say a few words about the demo and the best advantages of this one. So here we have two example applications that we can run through our tool called the STM32 QBI, which allows you to convert pre-trained neural networks into optimized C code for the STM32 microcontrollers. So the beauty here is that you would typically see those kinds of application on MPU or a doorbell and it will detect the faces and then for each face you can compare it against a data phase of enrolled people. So right now I am not recognized, but if I go in front of the camera I can enroll my face and now I'm recognized as user too. Anybody else who will go in front of the camera will not be known by the system. The QBI is a software component that we have in X. Oh, the microcontroller. And you can use pre-trained model from TensorFlow, Keras or PyTorps through ONNX and then generate the code and integrate it into your application. So the QBI is a very exciting field to specialize in, right? Many people excited about it. Yes, and this is the beauty. Typically you would require MPU and now we can start to see some applications running on microcontrollers with very low memory and small... How's the performance? The performance is we're starting to see some decent numbers. So right now at 4 FPS, a few years ago we were running only at one FPS. So every year we're making some progress. Is somebody making some magic in the background to make it faster? We have a very dedicated team that is optimizing our QBI library to take advantage of the DSP instructions and dual-issue pipeline of the Cortex M7 microcontrollers. And there's even more stuff that could be optimized? For sure, always. Yes. Okay, thank you Dior. So let's move on and with this we will stop the part that we have dedicated to artificial intelligence. But of course the next one important one is connectivity because the whole world is becoming connected. And one of the two new solutions we are showing on our booth this year are linked to connectivity to a cloud. So the easy way and secure way to bring your data to a cloud if you need. One of them is AWS. And I will ask my colleague Ramkumar. So yes, this is Charbox. And if you could say a few words about our solution with AWS and how the U5 is helping to make this connection reliable and secure. Yeah, here we have AWS IoT running on the STM32 U5. The STM32 U5 is specifically chosen for the built-in security inside the device because it has got secure years. It has got best-in-class security with a hardware unique key. And this is very much important for the secure solutions that need to have the key stored on the device, on the MCU itself. And on this board what we have here, we also have STSafe. If you want to go for common criteria EL5 solutions, you have STSafe on this board that is tied to STM32 U5. And on this board, now it is qualified and running on the AWS IoT Core. So we have that running. As you see here, this is a demonstration what we have here, running AWS IoT Core. And this is a cold chain. The idea here is to carry all the vaccine whilst at the lowest temperature. And also if there is a cold detection, you can identify it. And you can identify if you have a GPS connected to this through any serial interfaces or whatever, you can identify where the location is. And all of this is actually done in the application done by Amazon here. And here you are seeing the temperature alarms, which is already indicating that it is high temperature. And here you are seeing the humidity and temperature in the screen here. And we can also show a GPS screen on this one, that is the idea. And this is running Amplify database on top of the STM32 U5, running AWS IoT Core. And we have pretty much here over there, when we also have the entire Defender application also running. You can do that. So this is a nutshell. U5, STM32 U5 is the best-in-class device from ST to showcase our low-power technology and highly secure inside for AWS IoT customers. When you combine perfect cloud features with perfect hardware, it's like the next level magic happens, right? Yes. So much new ideas and innovation happening in this field. That's true. The need of security is increasing year by year. And like Ramkumar said, the U5 is today best-in-class because it's the only microcontroller today on the market which has PSA level-free and CC level-free hardware certification on the hardware chip. So really we bring another level of security to the hardware or the device. And it's been a very highly repressed feature to have all the security and the IoT. On the IoT, you need to have a secure boot and a secure firmware update solution. And this is implemented by ST and we have that. And this is aligned with the TFM when it runs in the secure and the non-secure zones. And it's a very good solution for a cloud-connected, low-power microcontroller from ST running Cortex M33 core. The AWS is just getting more and more busy now actually. Oh, AWS is very popular in the cloud arena. They have system solutions across the industrial consumer or many applications or even wearable applications. All the consumer applications needing to connect to the cloud. They have careful ecosystem support on the AWS IoT core. Yes, thank you. Thank you, Ramkumar. So talking about U5, let's check after the security as well the low-power features. Because as we said, IoT very often, these are battery-operated applications. Energy efficiency is a big topic as well. So what we try to make sure is the U5 is as well very power efficient. My colleague is right now making a pitch to the customer. So let's not interrupt him. We can come back and let's move on to the RF field. So on this part of our group, we try to concentrate product and solutions for RF technology. So we speak BLE, FRED, ZigBee, the newly introduced matter, or the sub-gigari solutions. Let's first speak with Witte. Witte is our RF expert leading a group of engineers providing solutions and support to our customers implementing RF SOCs of ST. So I let Witte to say a few words about what do we have new and what kind of cool demos we are showing over there. Thank you, Roman. So hello everyone. So we have our great STM32WB. So it's not new, but it's still new for a lot of people. So that ST is also producing radio microcontrollers. So it's a dual core, dual radio device. And what we are showing here, what we brought here, that we also extended our capabilities of the STEC. So is this a mesh? Yeah, this is not a mesh. This is just demonstrating our motoring capabilities. But I see there is some issue with the demo. So it's a demo. It all happens sometimes. Always happens. But when we are demonstrating here the last two days was that we are capable to maintain a connection with eight phones at the same moment. So this is the slave on the BLE. And the phones are the masters. And we can transmit the data from the slave to the masters at the same moment. So that was here. But we are also demonstrating some extra features we implemented on the STEC level. So we implemented extended advertising here. So we can now transfer a lot of data just by using the advertising. So that the device doesn't need to get connected to the master. So the link doesn't need to be established. And we can really have a device like this. So this is demonstrating like a tracker. So it's just sensing temperatures, sensing the location and putting the data in the internal memory. And then when we get close to the scanner, I want to take another one because it was already scanned. So when I take a unit, it downloaded all the data. We found a link just for the advertising. And we also then transferred the data to the tablet. And what is quite nice, small detail about this demo that we are using here. And Bluetooth web API framework, which is very cool. So for every single engineer outside, out there, if you want to implement a very simple user interface for your testing development or even for the application, please look for the Bluetooth web API if you do not hear about it so far. Because it's a JavaScript, Node.js based framework. You can use the Google Chrome web browser to access the Bluetooth adapter. And you can implement an application that will operate with the Bluetooth from the web browser. So it's very cool. What is BLE multi-link? Is it part of the standard?  So for the multi-link, it means that the device can maintain more than one link. So that it can be connected to more nodes at the same moment. So it can be master link or a slaving. So it can be connected either to one or two. Smartphone at the same moment. And at the same moment on top, it can be a master for multiple slaves. So it can really operate multiple communications. So it can create like a scatter net network, which was there before the mesh technologies. So if you want to create like a small network of sensors or products, which should communicate one to each other, you do not need necessarily to switch to the mesh network technology. You can still use even the standard Bluetooth low energy and the standard state with our device capable to do the multi-link communication. Bluetooth web API is so cool. Is it something that's just part of the spec, something you add to the something? It's not coming from ST. Okay, if you are doing promotion of a technology or a solution, it's not coming from ST. But it's not yet publicly known to the people that it exists. It's on a GitHub, so everyone can use it, okay, it's open source. And every Bluetooth device has a little web state? No, no, no. And you will be capable to just do with JavaScript. It's like that you do not need to open Android Studio and implement an Android application or you do not need to let's say learn some other programming language. You can just use the JavaScript and very simple application that will run in the web browser and will be operating with the Bluetooth. So that's a very good question, okay. So 20 device payload for the standardizing or 27 if you consider the overall data frame. But here we can put there even the extended data frame. So it's 251 overall, so that's the maximum number. I hope I'm not wrong. Yeah, I'm not a good to remember numbers. Yeah, so it is an absolute payload. Yes, it is an absolute payload because we are combining different channels, okay. So we are using extended data frames and we can combine to use multiple packets to send the overall data payload here. So it's a fun feel to work in the Bluetooth slow energy? It's very, very fun. Very dynamic, very changing technology. Okay, perfect. Let's move on then. Thank you, thanks for all this. So it was just an example. Of course we do also show here the latest, let's say arriving protocol method where we have a first solution and we are preparing it to bring it on the market in the coming weeks, let's say. But yeah, you can see the first demo already over here. Now let's go back to the U5. Sorry guys, but I see now the booth is available because that is way nice. An interesting feature of the U5. So yes, let me welcome to Manuel. Hello, nice to meet you. Hi. So Manuel, please tell us something about the U5 is the focus on the low power. What is so unique inside this microcontroller to make it so special for the low power consumption? Yeah, so there are two main reasons. So two main important features. One is security. But here we are focusing on ultra low power. So on this microcontroller U5 we have a dedicated state machine which is working independently from the core. So the core is off, all I'm saying is top two. And the peripherals can work autonomously because the CPU is not fetching any instruction. We have a dedicated DMA instances which is a low power DMA which is fetching the instructions instead of the CPU. So you have a subset of peripherals that you can use while the core is in stop mode. So these modalities call it low power background autonomous mode. And right now is a special feature for STM42 U5. I can show you what are the peripherals that you can use in some use cases. You can use communication peripherals like I2C, SPI, UART. In fact, this is what we are demonstrating here and we'll show you later. We are demonstrating an I2C reading from an accelerometer. And in addition you have a dedicated 12-bit ADC for this low power domain which is called the smart run domain that you can use to store your data. The data are stored in a dedicated SRAM and down to stop to you have 16K bytes of SRAM available. And you can decide to wake up then the core on the strategy you prefer. Transfer complete or transfer complete or when you reach a certain threshold, for example. And other peripherals which are available are DAC for digital to analog converter, low power timer. You can also create control loops because you have also some analog peripherals which are available, comparators or PAMPs. And you have dedicated low power SIO which are available. And very interesting, for example, for implementing your own data transmission protocol. In general, what you can do is chaining a different peripheral to achieve your task and keeping the MCU in low power and achieving ultra low power consumption. So with this solution, you can cut your power consumption by a factor 10. Are you talking about 16K? 16K of SRAM down to stop to. So it means that when you initialize, you build your function, your LPBAM application, you have to be sure that the variables and the handlers that you use in your application are stored in these 16K bytes. When the memory is full, you can then wake up your core, do some computation and then come back to your task, for example. That's a smart strategy. Yes, this is a very smart strategy. Another interesting fact is that, for example, when you're doing an analog conversion, you can also decide to wake up on a threshold. So when you have a certain value, you can decide to wake up the core. Somebody's asking, 128K SRAM would be better, what would you say to that person? Yeah, so you can definitely use more RAM if you go to higher power states. We have to say that for the solution, for the implementation we've seen so far and customers using LPBAM, 60K is pretty okay because you can always wake up for a while doing your operation with 160MHz and then come back to stop to and go on with your ultra-low power tax. So maybe I can give you a short overview of the demo we are presenting here. So we are reading an accelerometer via I2C-3. We have a dedicated I2C-3 instance, which is I2C-3 free. And the acquisition from the sensor is triggered by a low-power timer. And the same timer is also triggering another timer, which is low-power timer-free, which is generating a completely independent task with modulated PWM. So we basically have two DMAs channel doing two different tasks. One is configuring and reading data from the sensor. Here we are reading two times six bytes from the sensor. And we have another DMA channel, which is taking care of generating variable PWM in circular mode. And to do so, we use our U585 disco board, which has accelerometer and gyroscope on it and also some nice connectivity Wi-Fi and billing. And our power shield that is based on L490 with our cube. And we have I2C signals. If I stop the acquisition, you will see that the sampling time is around one millisecond. And on the third channel, we have the modulated PWM. Then we have other free channels, which are used for debugging purposes to see what's going on in the smart-run domain. In fact, this is a very clever way to debug low-power application. When these three signals, which are CDSTOP, CSLEEP and SRDSTOP are high, it means we are in stop two. And when this signal is toggling, it means we have DMA transfer happening. Now we measure the consumption with our ex-nuclear LPMA-01 and our cube monitor power. I will show you. So, we are now measuring the consumption. The application is running with cube monitor power. One very interesting feature is that you can select your time window and you can have a calculation of the average power and the average current that is used. So, in this case, with low-power background autonomous mode and one millisecond timer, we are in the range of 61 microamps. We have built an application which is using, instead, another, which is using what we call legacy mode. So, we have built a benchmark application which is not using LPBAM. So, you have to imagine that the core has to wake up when the transfer is happening and you keep on switching between its top two and run to do this transfer. So, we can also demonstrate in this case that if I flash, for example, the example that it's using this legacy mode, okay, I will show you. We can observe two things from this logic analyzer. First, what is happening on this free channel is a bit different from what we saw before. These lines are toggling. It means I'm waking up very frequently, okay, which is not very good for power consumption. So, in fact, if I measure the power consumption with this legacy application, you will see that the values are around 180 microamps, versus 60 microamps. So, we are gaining a factor free of power with this low power background autonomous mode. So, we can generalize the result saying that with STM42U5 and low power background autonomous mode, you can achieve great benefit in terms of power saving up to a factor 10. In this case, we demonstrate also that the gain you have is increasing as we increase the sampling frequency of the I2C interface. And this result is valid for I2C, UART, and SPI, so for all communication interfaces that we have on STM42U5. If you want to discover more, I'll leave you with some reference links from our application notes, which are mainly related to low power and to one of our latest on demand webinar, which is in fact showing how to build this application from scratch. Thank you very much. Thanks, Manuel. Very great pitch. Thank you. Thanks. We have any questions? It sounds like the STM32U5 as a beast. Yes, it's really our latest product based on the 14-millimeter technology, so very progressive and latest one. And really the combination of performance, security and low power enabled this to create many of our customers, let's say the dreaming applications. Okay, so let's leave a little bit the part of the booth where we speak about microcontrollers and microprocessors and the different solutions around and move to see some of our other products. And in the live chat, please come to some cool questions. Okay. All right, let's go. Okay, so we moved to the second half of our booth. So after the microcontrollers, microprocessors, let's check what do we have for, let's say the sensors and other products. And I'm here with Zuzka. So Zuzka, could you tell us something about this great sensor which you have seen a little bit already when talking about the NanoHAI Studio? But here you see the hardware in action. So good morning, everyone. Here we are showcasing our new sensor. It is called ISM330IS and it offers accelerometer and gyroscope. But besides that, it also includes and so-called ISPU an intelligent sensor processing unit. This means this is a small but compact risk core capable of data processing with much less power consumption than MCU. So here on this booth, we are showcasing two demos. Specifically, we have here one demo is showcasing how we can run sensor fusion on directly in the sensor. So this means we calculate the orientation in the sensor and then the PLE system on chip only collects the data and transfers it directly to the smartphone app. Then we have here also another demo which is a combination of Tema Sensor and the ISPU. So it is a simulation of the front door and the ISPU here is specifically here to detect the state of the door. This means that if I open the door, then we can see it detected by red blinking LED. So I think this is it for introduction. Does SC have a long history during DSPs? DSPs, yeah, we do because basically since the processing power is needed for different types of applications. Even in the microcontrollers today, we try to include dedicated accelerators to help with the calculations or field filters, let's say the sinus, cosinus, correlations. So yes, we do. And the keeps coming new generations of this. Sensors. Yes, absolutely. First of all, we listen to our customers and I like this example of ISPU where we really integrate dedicated core to run the machine learning already on the sensor is already a big step through.  Now you can do these simple things on the one single device. Thank you Zuska, see you later. Okay, so let's move on. After some of the sensors, we do have as well here power dedicated to automotive solutions. And let's come back a little bit to the AI, but in the automotive world, which is a bit different from industrial. And I'm here together with Alessandro and Max and they will show us a few words about AI in automotive, the solution from SD. So guys, the stage is yours. Yes, thank you. So thank you very much and welcome. We are very pleased to present you this new solution for AI at the edge in the automotive market. And we are able to put a complete neural network inside a normal microcontroller, so no specific IC. But we come close to the microphone. But with a very standard microcontroller, this is our course for Mac, but we can also use our course one Mac. We're able to embed an LSTM neural network, which is able to analyze the status of the car while driving, analyzing stages like bumpy roads or normal drive or parking or anything else. And obviously this can serve as a base to build other neural network applications or on the edge without having to use any other power inside the car. What do we see here? What we see here is just a simple system, which is analyzing data coming from a sensor. We're using one of our accelerometer six axis. This data coming into the microcontroller is analyzed in time series of six seconds and every six seconds a response has been produced. So that's it. Road state monitoring is just one of the many automotive segments you're in. Road state monitoring is one of the new trends because obviously we all want to increase the safety for the driver. So for one side we want to increase the safety by monitoring the streets, but also by monitoring the status of health of the driver. So this data collection that here is simply done with an accelerometer can be expanded with several types of sensors and combined together to give a better picture of the status of health of the driver. So this is for sure a trend in the automotive today. Thank you guys. Thank you. Very good. Thank you. So yeah, let's move on to, let's say to the last part of our booth and here we'll see some solution around our NFC. So near for communication around ST-25 products and I will be very happy to say it. I spent some time here with my colleague, which can explain you why he is here. So nice boxes and the car and the solution. So please, sir. Sure, yeah. So what you can see here, what you can see here is a typical use case for one of our NFC applications. So NFC reader plus tag inside the small car, we have NFC reader with NFC reader antenna in the front. And in each of those blocks we have so-called NFC tags and what you can see here, if we start the tool for the toy, it starts driving and it detects automatically which kind of tag is inside. And inside the tag tells basically the reader what did you do and it drives accordingly. So the reason for this tool are the purposes to teach small children how to program first logical steps of programming basically. So NFC gives like a natural interaction. Exactly, exactly. So with NFC you can communicate over several centimeters. There are a lot of use cases, not only for dedicated NFC readers, but also communication with smartphones. So there's a lot of user experience, added value and added user experience. And it does the charging. Charging is also a use case of NFC, which is quite new actually. So we have here a proof of concept when you see charging. The big benefit is we have tiny antenna sizes. So we are talking about sizes on receiver side of 9.9 millimeter as example, can also be smaller and a power level of up to 1 watt.  So it's different than the Qi? Yes, it's targeting smaller applications than Qi, as said, with low power requirements and smaller sizes. And it's just available now on sd.com? Yes, so we have a webpage for that, so sd.com slash NFC man is charging. You can check out our webinar and learn how you can implement NFC charging solutions. So here in your corner, it's possible to enable thousands of new games and ideas? Yes, that's the plan. That's the plan. So I really want to enable customers to bring new use cases into gaming for toys and also for other applications and markets. So without revealing any secrets, I'm sure you will hear about very cool projects that use this kind of technology. People doing new cool things with it. Yes, so lately there are a lot of different applications, board games, remote cars, similar applications like that, exactly. All right, it's very cool. Nice, and there's more NFC at the booth or what do you want to talk about? Exactly, so let's check this one because this is very interesting too. So, you see we are all the time very busy. Okay, so we can come back. So much stuff around here. Yeah, we can come back. You want to show everything? No, no, no. Okay, I really selected a few things, but maybe Patrick, I see he's available. Let's see if you want to say something? No. Okay, so let's go. Let's use the time before we have this interesting demo pod available. On this part of the booth, we don't show any products, but we show the STM Part2Q ecosystem. So, you know, today developing with the microcontroller, microprocessor, you want to start first selecting the right component for your application, then you want to start to integrate quickly the low-level drivers to make the configuration of the peripheries. And this is what we do with our tool, STM Part2Q Bemix. So, co-generation, exactly. So in the development flow of a software, let's say development, first you do the configuration of the basic peripheries. The QBemix will configure a project and generate for you the basic project on which you can start to build your own application. Then, of course, how and where to build the application and the debugging. For that, we have a list of several QBes and IR and Kyle IDEs. So, you as a customer can select between the advantage of the STM Part2Q IDEs. It is free of charge, supporting all the STM Part2Qs in one shot. It has also some new features for free RTOS Deepak Evernus, and we are also adding now the Azure RTOS, so the FedEx Deepak Evernus. Which is very important when you are working with the retail operating system to understand which task is running, which one is suspended. So, it helps a lot in the debugging of your system. So, if you go from Qube generation to Qube, sorry, code generation to code development and debugging. As developing an application, at some point, maybe you want to monitor what's happening in your software. And for that, we have an STM Part2Q monitor. So, it's part of the Qube ecosystem. And that one is based on a no-dread technology. And with this one, you can create really a flowchart, graphs, buttons to control in an intrusive way your software. Read variables, read content of registers to show them in a graphical and nice way. All this, the great benefit is it is fully free of charge available and always up-to-date with our latest products. So, that's about the ecosystem. Maybe one little last thing. Just before embedded board, we have released STM Part2Q MCU developer zone. So, what it is, maybe you are wondering. Basically, with this STM Part2Q MCU developer zone, what we try to do is to bring into one single entry point all the information about the products, software, middleware, tools, partners that you may need to know when starting to work with STM Part2Q. So, it's like entry point in intersection, you can continue your information and data research to be able to develop with STM Part2Q. It's a very big task to be community manager with that approach. Of course, the community itself is a very important part today of the support and development flow. On this side, we do have extensive community, we try to moderate and answer ourselves or within the community to all the questions from our developers and users. See if our colleague is available. I got one question here in the chat, just in case. That's okay. Please ask STM on their plans to include dedicated AI accelerators in the MCU. Yes, indeed. So, maybe you missed the beginning of our shooting, but yeah, at the time we were really looking after our solutions for artificial intelligence. So, in terms of hardware accelerators, today we don't have any dedicated one, but be sure on our portfolio we do have STM Part2Q, we dedicated accelerators for doing the artificial intelligence neural net for computation. So, more and more stuff is happening here. Definitely.  So, stay tuned for new products. I'm sure we will be able to introduce you more in the coming weeks and months. How do people get involved, to become developers, find the companies and hire them, get to be an expert, we have everything for everything in that stuff, right? Well, I wouldn't become absolutely true if I would say we have everything. There's always something missing and something we can add more. But yeah, to start with STM Part2Q, today you find a lot of tools, samples, libraries, free of charge on our web. You find a lot of training materials. We have plenty of YouTube educational programs. The one I could recommend is STM Part2 learning page on our ST.com. We find a lot of links to YouTube, so-called MOOC sessions, where we start from the basics of what is microcontroller, how to select the right one, how to run the first code generation, how to start debugging, monitoring your application. We have dedicated videos and training programs on security, so how to implement a secure boot, how to implement graphics, HMIs and GUIs. So really, I'm quite confident to say today we have a lot of things available for you. So if someone wants to start developing, you should be able to find a lot. But at the end, in the same time, it's true that we still have a lot of things to do. And yeah, give us your feedback. Let us know your needs. And we will be very grateful for those and try to bring new things, products, solutions, trainings, materials for you. I need more discovery boards, more little board to train it, right? Definitely. So yes, you may remember that in past we were always supporting the community and developers with boards. We do it again this year, but it's not such a big scale. Because of the current market situation. All right. And you said it was something we can film right there, right? Yes. Yes, it's now available. So let's go. So yes, and this would be the end of our shooting in terms of demo boards. And now Rene is available. So Rene, could you say a little bit more about your demo and your product that you are showing here? So actually, we are showing NFC for consumer groups in general, also for access control or payment. But the main demo here is... So it's up in right here. Yeah. Just... But the main demo here is a new standard by the WPC. It's called Key Kitchen. And what we are showing here is the upgrade of a standard induction cooktop with NFC to enable appliances, kitchen appliances to go cordless by just placing them on. The induction hub. There is NFC communication for the power demand. If I turn on, the power is requested via NFC and transferred on the standard induction technology. It's also the vertical side in terms of placement. You can rotate it. It's very safe because there is no cord. What if it gets a little bit wet around or something? It doesn't matter actually because there are no cables, nothing, no electricity, no contacts. It's pretty safe. And even on a water kettle for example, of course it takes a while to cook up, but basically... So you just add NFC to standard induction. Exactly. So there's NFC reader in the induction plate, a receiver in the appliance those two are communicating for the power demand and in the end the requested power is delivered via the induction hub. And you can already see that the water is starting to boil in here. The kettle is getting hot, but actually below everything is staying cool as usual. And the nice thing is warm. It depends on not dangerous, stable on the full power, 2.2 kilowatt power delivery. Same like if you had a cable. Exactly, but just without the cable. The nice thing is that this is a dual function hub so it means you can use it for cooking, you can do your scrambled egg, whatever you want, but you can also put cordless appliance on top and the power is delivered wirelessly. And the key kitchen standard is also working to make hidden transmitters. If you, for example, have a dining table, you can place it hidden below the table and if you have a family come together and you put a cook on top of it, you don't need to plug it in. You can just drop it on the table and it's working immediately and totally safe. Nice, so NFC is really changing the world. Exactly. And you use it the correct way. We are upgrading actually existing applications with benefit for the end user, making it more convenient, more safe and especially if you think about the smaller kitchens. With the cable, you always have a hassle. We have to put it, you can drop over the cable in this case, we just drop it into the kitchen table and it's done. So very convenient actually. All right, it's an exciting future of smart homes. People have this built in and it used to be a common standard, right? It's actually a standard, as I said. It's discussed in the WPC, the same group which are doing the G-charging for mobile phones. And there's a dedicated group doing it, the key kitchen where this standard is discussed, hopefully released very soon and we will see for sure first appliances as well in the near future. I'll be a fun gift before this Christmas. I'm not sure. But basically I would get something of those for my kitchen for sure. Nice, cool. All right, so we are at the end, really thanks for watching, thanks for your questions. Charback, are there any last questions? It was a little bit emotional, as you show on the big screens, long time was passed and it's great to reconnect. Absolutely, now all the ST team was really looking forward to be here again, to meet our customers in face, to see the emotions, to have a discussion, chat all together because I'm sure all of us appreciate the remote way of working, teams, zoom and so on, but at some point we become a target of it and we need to come and meet together. So yes, we are definitely happy we are here and we are looking for the next additions to come, see you and bring you another improvements and new solutions from ST. I just got one question, it's asking, can it run Doom? I think so, why not? I think there are no limits. Cool, thanks a lot. Okay, thank you guys, ciao.


I'm Piper, as she said, and I'm here to talk to you guys about the portal network. So let's just get right into it. I work for the Ethereum Foundation. I got introduced. So this is about actually finally bringing lightweight, decentralized access to the protocol. And yes, this has been kind of a long-term project to get us to where we're at. There we go. So let's dive into kind of at this high level of what the portal network is. For me, it's a giant white whale that I've been hunting for a long time and hopefully doesn't eat me in the end. But the portal network is five new decentralized special purpose storage networks that serve all of the data that is necessary for interacting with the Ethereum protocol. And this has been a long road to get to here. We spent time way back trying to build lightweight clients on the existing networks. And where we ended up was that the existing networks don't give us what we need to actually deliver lightweight protocol access. And thus, we have these five special purpose storage networks that we are building out to serve this data and to essentially realize this dream of lightweight access to the protocol. The project has kind of these high level design goals that kind of informed what we needed to build and how it needed to get built. And one of the main things is that the portal network is really user focused. All of the clients that you hear about today, Gef, Beisu, Lighthouse, all of that stuff, it's infrastructure for the protocol. And those clients are built with the protocol in mind. And the user facing stuff, the JSON RPC API, they're not the lowest priority. But at the end of the day, those clients serve the protocol and not the users. One way to look at this is that if you want to interact with the Ethereum protocol today, you have two choices. It's the upper right or lower left-hand corner of this graph. You can run a full node. They're very heavy. And they're also awesomely decentralized. There's a number of choices for what to run. But in general, when we're talking execution layer, you're talking about very heavy pieces of software. We'll get into the details of this in a minute. On the other end of the spectrum, you've got lightweight but centralized options like Alchemy or Infura, things like that. Somebody at the last conference told me that I was a boomer for calling it Infura. I thought that was awesome. So anyways, you've got these lightweight options, but they're also centralized. And they can do things like correlating your IP address with the transactions you send or selling your data and things like that. There are two options at the far opposite ends of the spectrum. And we want to build this thing in the upper left-hand corner, this adorable pink smart car that is both lightweight and decentralized, which supposedly we care about. This brings us to this lightweight concept. Like I said, Ethereum clients are heavy. And we want that we need a network that allows lightweight devices to participate. Ethereum clients are heavy today because they have to do a lot of things. EVM, execution is CPU intensive. Running the transaction pool is CPU intensive. And there's gigabytes upon gigabytes of history and state data and things like that that they need to do. This means that running a traditional Ethereum client is an inherently heavy thing. And you generally can't do it on things like Raspberry Pis or phones.  That's your traditional execution layer client. Our goal is building out a network that lets you spread things out that takes all of the load for all of this data and distributes it around all of the participants of the network in a nice kind of even way. The other thing that we focus on is kind of removing some of these height restrictions. And by height restrictions, I mean essentially hardware restrictions that keep you from joining the network. This is one of the things that blocked us from building a lightweight client years ago was that you've got these sort of, you must be this tall to ride things. You are not allowed as a participant in the devP2P network. That's the network that supports execution layer clients. You can't be part of this unless you have all of the state and all of the history and enough processing power to process every block and enough processing power to run the transaction mem pool. If you aren't tall enough, you're not allowed into that network. We focused on a different model. We wanted people to be able, people, clients, computers, whatever. We needed a network that allowed you to show up with whatever you had and to contribute it to the network if you're so willing. The idea is that all of these networks operate on this exact same principle, which is that as a client to the network, you can tune some parameters that dictate how much storage space the network is going to ask of you, that dictate how much processing power the network is going to ask from you. And one of the other major things that we focused on is kind of this UX thing, which means, to me, elimination of sync times. Traditional clients have bad UX in terms of the user-facing stuff, and that's because you either have to, when you start it up, you've got hours or days to wait for it to sync, and if you go offline for some period of time, you often have additional time to catch back up to the tip of the chain. These sync times make UX for end-user interactions, kind of basically unbearable. This is why almost all of the userland traffic goes through services like Alchemy or Infura. We've designed a system where all that you need to do is have a view of what you think, what you trust as the front of the chain, and from there, all of the data is accessible to you, which means the difference between hours or days of sync time from zero to being able to actually interact with the network, to being able to be interacting with the network in a matter of seconds or at the worst network conditions a minute or two as it has to appear with some other peers in the network. So really focusing on user-facing things like this. The other piece that we needed was something that was scalable, and we're not talking this scaling. This isn't starting scaling or transactions per second scaling. This is a number of network participants. This is having potentially millions of nodes be part of this network. Some of the past work towards Ethereum Lite clients is LES. That's the Lite Ethereum sub-protocol, and this has been around for five years maybe, and it has never really delivered on this goal. And the main reason here is that it exists in this client server architecture. LES nodes on the network are dependent on full nodes serving them to data. And what happens over time is that a full node who's serving this data ends up getting kind of just assaulted by all of these LES nodes, constantly asking them for information, and they're expensive requests that these nodes are making. And it hasn't turned out super well. LES has not delivered a reliable like Lite protocol access. And the main reason is this imbalance between client server stuff. That there's no incentive, there aren't incentives to run LES servers. Running an LES server just costs you something.  And the clients in this network are not able to contribute back. As an LES client, you are purely taking from the network and that is just the way the network is designed. In Fiora Alchemy, they're this centralized model, right? Their servers go down, everything stops working. LES is this decentralized model, which we like, but because there aren't enough incentives or anything for people to run LES servers, it hasn't worked out super well. We've moved all the way into this distributed model where we have a homogenous network where everybody in the network is a client and everybody in the network is a server. One way to think about this is very akin to BitTorrent where in LES, you have this kind of degenerative thing where the more nodes you add into the system, they take up a limited amount of capacity and once you exceed that, it degrades service for everybody. In the portal network context, we have built these networks around this idea that the more nodes you throw at it, the more powerful it gets. And that's kind of the whole core part of this. All right, let's look at a practical example of how you would serve this, essentially a balance inquiry from the portal network. I'll remind you, we've got a number of different networks here and the idea is that they're all sort of special purpose, partitioned off from each other. Clients can be part of any number of them that they want. This example is going to touch three of our networks. So what we're going to do here, it's a very simple example, we're looking up your ether balance. In a tradition, so this is our traditional client. You've got databases over here on the right where they're storing information. It's running this JSON RPC server. A request comes in to query my balance. The JSON RPC server is going to do a couple of things here. It's going to reach into an index to figure out what the client thinks the head of the chain is. It's going to look up the header for that header from whatever database it stores headers in. Once it gets that back, it can look at a field inside of that to see the state root and then it reaches into the state database to actually read your account balance. This all happens very quickly under the hood and the reason that a traditional Ethereum client can do this is because it is maintaining these databases, that it is constantly online and it is constantly keeping these things populated. The portal network concept is very similar, right? There's very little, right? This is like, oh God, no, wrong direction, too much. So in the portal network context, when this ethget balance request comes in, instead of reading from local databases, what a client's going to do is it's going to actually reach out into these networks that it's part of to get the data. We have a network for essentially tracking the head of the chain provides the beacon light protocol data. Your client's going to reach into there to know what the front of the chain looks like, which what the head of the chain is. It's going to use that to pull the header from the history network, which stores all of the historical block bodies, headers, receipts, things like that. And once it has that, it can look up what state root it's supposed to be looking up things under and it can reach into the state network to grab that state, look up your balance and return it to you. This is a very simplistic example, but this is very representative of what the majority of requests are going to look like. There'll be a little bit of sampling of data from different networks in order to get the information that you need before it's returned to the user. All right, where are we at? Like I said, this has been a long road to get here. We had to build some of the wrong things to figure out what the right thing to build was. And at this stage, we are past the research stage. We are purely in the get it to built and get it out the door stage. We have three different client implementations. This is fantastic. I'm so happy about this because we wanted to build a protocol, not a singular client. We wanted to build something that had many clients to it and instead of just one reference implementation, we've got trend written in Rust by my team at the Ethereum Foundation. We've got Ultralight written in JavaScript by the JavaScript team at the Ethereum Foundation and we've got Fluffy written by the Nimbus team run by status, and here we are. So here's our rough timeline right now. Software estimates are garbage. Imminently, we are right at the edge of getting our first network really fully up and running. That's the history network. In parallel to this, the merge has sort of kicked off just having this beacon light network and that's sort of like our next major priority and after that over the course of 2023, we are going to be getting the remaining networks online. The zero to one is a lot harder than building the subsequent networks that come after that. We've spent a lot of R&D getting to this stage where we almost have the history network up and running. That is what I've got for you today. If you want to get involved, we are findable on the internet just like Danny has often said. The doors are all wide open and unlocked. If this is a project you'd like to get involved in, please feel free to reach out to me. And I've got some time for questions if that's something we can do. I think we've got a guy with a mic walking around. I have a question related to the API endpoints which the portal network can sell. Will it be able to sell debug endpoints that need a whole archival stories on nodes? If I understand correctly, you're asking about the debug-spaced JSONRPC endpoints? Yeah. Not initially. All of the data to do things with those will in theory be present in the network but we are really focused on human driven wallet interactions that's kind of like our primary use case that we're focused on delivering and the debug endpoints just don't play a role in that. And in general are going to involve a much heavier level of requests and like data access than is traditionally involved in kind of standard wallet interaction. So no, the debug names-based endpoints are not officially supported. Thanks. From the perspective of an application layer client, is the thinking that an application would be like speaking directly to, like an application would want to run one of these like clients itself and speak to that or is the thinking that for some reason you would bundle the client itself into the application or neither of those things just trying to grok what the use case is? I think I understand the question. So there's a lot of ideas on the table and exactly which ones are going to stick and which ones aren't is right. We'll find out as time goes on. But the general idea was to build a network where the clients can be lightweight enough that you might have two or three of them actually running on your machine at any given time because in theory they're lightweight enough to actually embed. So if you're downloading a desktop wallet and the portal network's up and secure, up and live and production ready there's entirely likely that it might just bake the client right into the application that you're running and there might be two or three others running alongside of it. One of the things that my team's going to be focusing on is sort of like a system level process that's really easy to download and install that just runs the thing in the background which makes it easy for you to do things like connect MetaMask up to it or things like that. So I don't think that there's one model here. I think some applications might embed it. Some might treat it as an external dependency. Here, there we go. Yeah, so something that I'm familiar with the LES client that is that when you want to execute for like a smart contract call, you might need to do several round trips because you are basically every time that you need to query state, you are going to go to the full node and ask for something, right? And that maybe creates like, again, several round trips which increase the latency of like whatever you're trying to do. So is with the portal network, you're gonna have some solution for that like trying to kind of batch that? I think the question is because the requests are going out to the network, there's going to be some inherent latency overheads that come with that. Not that precisely, but that you are going to do multiple requests. So for example, if you want to do RC20 balance off, you need to download the smart contract, then you need to start executing and every time you need to access some part of like the state database, you're going to just go again and make a query. And so you are basically doing multiple requests. Multiple concurrent JSON RPC requests, that's the kind of concept here. Yeah, I think currently you do that sequentially and so basically you are increasing the total latency of like balance off, but you can find a way of like doing that concurrently or batch now that you only do a single request. I think that's going to be a thing that individual portal clients figure out on their own. There's nothing inherent about the networks that keep you from looking up large swaths of data in parallel at the same time. And anything that can be parallelized at that networking level will definitely benefit total amounts of latency that users experience. Where do you or do you see zero knowledge being used in an implementation of a like client for the portal network? Currently, it isn't part of any piece of our roadmap. It's not my expertise. So I don't know I think is the concise answer there. Thank you. Just have one quick question. What prevents me from running a like client and making it a freeloader that does no work? How do you prevent against? We don't. So there's two things that I'll say here. One is that we had to pick some cutoff points for what we were building because this is big. Like I took a lot of stabs at making lightweight protocol access in smaller ways and this is what came out of really trying a bunch of things and then not working. So in order to deliver this, we needed to build something that was much bigger than I originally thought we were going to have to build. And in that we had to like kind of cut it off at a point. The thing that we're building is attackable. There is attack surface that exists and the general idea here is that those are solvable problems and we're not going to focus on absolutely trying to make sure that we have them all solved on day zero. The portal network is not core infrastructure, not at the protocol level. The protocol as we know it does not depend on the portal network for anything and so if the portal network falls over, Ethereum does just fine. And initially it's possible that somebody attacks it and that probably means we're doing something that's working because it's worth attacking. So that's the one piece which is that we have built something that we know we are going to have to hone and fine tune and work on the security part of it. I have a second question that might be leading. I'm kind of also curious if I choose to make my late client act maliciously and you asked me for the balance. Oh, there we go, freeloaders. I got you, yeah. The network is designed to like, if there are too many freeloaders, it'll degrade performance for everybody. I'm relying on essentially two things which are the laziness of people. So people are inherently lazy and so going and configuring your client differently than how it ships is like something that people often won't do if it's working just fine. And if we ship it with sensible defaults that aren't running your fan speeds at full speed and aren't filling up your hard disk, the chances of you taking the time to go in and tweak those settings are pretty small. And there's a, and you can call it altruism or you can call it laziness but we're fundamentally built on this idea that these small contributions of lots and lots of people add up to it a lot, right? BitTorrent works. You can download things pretty fast on it because there's a lot of people doing it and most of them aren't screwing with their settings too much to just leech from the network. So, can we get the mic over? Sorry, yes, I'll get you next. Yeah, just a small question. You mentioned the beacon light client network as well. So what sort of data are you planning to distribute in the beacon data line network that you're talking about? There's, I believe, three data types that we'll be working with. I am going to potentially botch this if I list it off the top of my head. Kim on the Fluffy team is the one kind of leading the like R&D or the specification for what that network serves. But it's the light client update objects and there's like one or two more but essentially it's the minimal objects that we need to be able to do the beacon light protocol to jump to the head of the beacon chain. I can't hear you, I'll repeat your question. I was just wondering when you're testing on a day to day what user flows are you using for your tests? Well, so we're designing at the JSON RPC API level. So we're not necessarily building interfaces for people. We're taking the JSON RPC API which is like the standard API that execution layer clients expose to users, right? This is what Alchemy generally exposes. These are the things that MetaMask is like calling to. And so while we are user focused we are building out clients that can serve the JSON RPC API which is still a low level thing, right? You're still talking about computers, talking to computers. The wallets and things that get built on top of this that's I think the type of user testing you're potentially asking about and that's kind of like outside of our purview. I guess you could say that the wallets are primary clients and that the users are the wallets' clients. Two questions. Are we talking about one-to-one JSON RPC compatibility? And the second question is what does the roadmap look like for L2s because light clients are inherently very useful for cheap operations and that's kind of where stuff is going. So that's it. I think you asked whether we're building out a like one-to-one to the JSON RPC API. We are not trying to redefine the JSON RPC API. It is established and has been successful and is generally the backbone of any kind of Ethereum interactions that wallets and things are making. And so we are building off of the existing standard. I don't have an answer for you on the L2 thing. It's an open question. We'll see how it goes. And that is all of my time. Thank you all.