Happy Friday, everybody. Good to see you all. Welcome back.  How did everybody do so far? John, I got out at $1.70. Good trade right there. You know what? There's still a buyer out there at $1.60. Just showed up. We're gonna talk a little bit about that. And there's a few other good stocks. So I'm pretty excited about this Friday. So we've got a couple of good movers like anything else. Anyway, hopefully everybody enjoyed. I'm happy that we got NFL back in play. I don't know if we have any football fans out there, but I'm really, really excited. Can't believe Lyons beat the Chiefs. I'm gonna be at Monday Night Football, looking forward to my jest to beat the Bills. So it's just, that's the end of summer. Once football season starts, that's when it comes down to it. But that's not, you know, listen, what's our excitement here? It's not about just sports, but it's also, you know, it's about what's going on in the markets. So anyway, we're gonna do a little shopping. There's a lot of good stocks. Market's down about 22 points. Not really that much going on. We did get a couple of nice movers yesterday. We'll talk a little bit about those, what they're actually doing. But let's talk about what happened yesterday because there were a couple of really, really nice stocks I wanna talk about. And we had some really nice bounces. Now remember, the whole theory about being a trader is to follow the orders, you know, and that's really what we teach here. You know, it's basically follow nice pair of orders. And yesterday, we had some really, really good ones and I wanna cover them. First of all, we'll start off with Fubu. Fubu TV had a really nice balance yesterday. Very inexpensive stock. It kind of turned into more of not only a day trade, but it eventually became a good swing trade. You could see here, it was hovering right around the $2 price range. Every day it's been going up and up and up. And obviously, you know, the day traders came in, they ran this thing up to $3. And this is the middle of August. It's got some resistance levels here. If you're looking more of a swing trader right around this $3.30. But anyway, yesterday from $9.30, nice slow mover, very inexpensive. I think a lot of beginners could obviously, could enjoy that. Path was another one. This is how it not only has been a good little day trade, but turned into be a good swing trade. So you can see here right, $9.30 was at $16.25, think shop to $17, $18. It's not, it wasn't a really big pop, but sure it looks a lot more attractive than that. But did have a decent move there. That one did pretty well. Affirm also, Affirm has, I don't know what's going on with this stock, but it's been on a really good tear. The only problem with Affirm is that it does get a little nasty. It's got nasty shakes. You gotta be a little bit more advanced trader. And I always say that all the time, what does that mean? What that means is that we train you and you do your one-on-one coaching here and you're one of our students. And you have to learn how to progress. You just don't go into these trades and think, oh, you call them out. No, some of them move a little quickly, made them work with small shares, whatever, but that stock, because obviously has done pretty well. You could see here on the low-term chart, stock literally was at $14, had that big move here on that day, on the 25th of August, stock went from 15 to 18, but it broke through to this big resistance levels right here. And there was another one back here, back in February, so it's testing those highs 22.75. So see how it handles that. So there was a few other ones here. Chip, I thought was the best. Chip was probably the most simplest trade yesterday. So Chip got crushed yesterday, okay? You could see it right here, it was at $7, thing ran all the way down to five. So basically that right here. So stock got crushed. So anyway, this is basically was I taking candy from a little kid. Stock literally just took a dive right at eight at 930, came right back down, hit his support level here at $5. There was a really big iceberg order down there at that $5 price range. It kind of, then it started building a little bit of a thousandth flag right around here around the 510. And then from there on in, boom, the thing just really went up to about $6.  Now, once again, I don't know why I keep doing this, but I feel like love showing you this thing, the mouse pad. Best times, worst times to trade. You know, we're going to do live commentary up until about 1030. So, you know, we had that good action up until about 1030, nice little move right there. That was about a 70 cents move right there. You could have made at least a minimum of 50 cents, minimum 50 cents, 50 cents, 1,000 shares on a five dollar stock, 500 bucks, 100,000 dollar salary.  All right. So that one did pretty well. Got a good up and run on AR, AB that one just came back down. AI had a little bit of a decent little pop. That one got beat up too. PLTR, nice little bounce too, went from 14 to 15. And H-Kick, that thing just got crushed. Yeah, that thing just was, oh my God. I mean, it's got a lot of support levels right around here, but it looks like it broke it. Not looking too good for H-Kick. Not at all. That is one $30 stock. Let's just go back the day before for some of you that logged in for the first time, this thing just got crushed, hammered. Great little short, it was on your short list. But I was looking for a dead cat bounce. I got a, we got a little bit yesterday, but not as much as I thought and it didn't want to come back. Didn't want to come back. All right. So that's Thursday, today's Friday. It's the last day of the week. By the way, just to let you know, summer is really technically not over here on Long Island where I live right outside New York. Where all these big shots rent their summer homes. Technically, they have one more weekend. This is technically their last weekend, okay? So when they rent these summer homes for the year, for the summer, usually it goes up to one more week at the Labor Day. So I'm not expecting to be super crazy today. It doesn't look like a nice weekend. It's gonna happen this weekend, rain and stuff like that. Weather is gonna take a factor into it. Some people are like, yeah, maybe that won't go on whatever it is, but let's not get too crazy. Fridays are very, very tricky, okay? So let's get back to what's moving this morning. So anyway, we got a couple of stocks right here. The big one I want to talk about is the BIOC. So you got a couple of you that did pretty well. John got out at 70, looking really well right there at that step. You're probably loving that right there, John. And right here you could see that this stock had some great, great ladder effects. You could see ladder, ladder, ladder, bid, bid, bid, bid, bid, bid, bid, bid, bid, bid. And then all of a sudden we started to get sell, sell, sell, and that's why we're starting to get a little bit of back wall. Now, does that mean it's gonna go back down to 90 cents? Listen, down to a dollar. We'll see when the market opens up. But as of right now, stock is up 85%. It's got a very good spread. It was very tradable. This stock was in, last year was $17, got hammered. So BIOC is going on the watch list, obviously. We just got a one big, a really big pop that just showed up on this one right here. I gotta bring up level four, POZO. So this one just came out in nowhere. So you can see this stock, program trading kicks in around nine o'clock. So there must have been, usually that's when orders came in. You can see it just ran from a dollar 30 to 213, up 60%. Let me go check over here until we got on our orders. All right, so here we got our orders, another latter effect, buy, buy, buy, buy, buy. And then we're getting some sellers right here. So again, some selling pressure. So the stock went up pretty substantial for a short period of time. But PRZO, if you guys caught it a little bit earlier in the cyber group room, you see it's the second biggest percentage gainer on the NASDAQ.  So we'll keep an eye on that one. PSTV. All right, so I was looking at this stock. It took a big hit. Now this is the issue. This is pretty obvious. Big sellers just showed up right here for 10,000. He came in right around 845, okay? And you had a big buyer right here, not a lot at 325. So you're getting some big, big volume here down at the bottom. If you guys are watching my other videos, I show you basically how to follow time in sales and order flow. So you see, because sometimes these orders get filled and if they do, you know, the stock will break out. Issue I have with the stock is I'm not really seeing that many orders out there. Even though it did trade at 1.9 million shares, tier size are really, really small. So this is not gonna give it what, maybe category three stock. This ain't your level one stock. All right, so we're gonna keep an eye on that one. What else do they have out here? This one got decent volume, good spread. It's going up a little bit. It might be on the slow side. Let me put this on the B list. What else we got here? I had, I had this one too, this verb, V-E-R-B. This stock also got crushed. It had a good run up a couple of days ago. A lot of you remember this stock. Let me just bring this up. Some of you remember we traded this stock just the other day. The stock ran back, it ran from like $1.13 all the way up to about 2.20. And then this was phenomenal. This thing ran from like right at 3.30, just started running from $1.60 all the way to 3.60. She's moving again. I mean, she's moving again. But I'm seeing that there was a big iceberg water out there for about 24,000 at $1.80. So let me put this back to normal. So it's kind of pushing it down. So we're gonna keep an eye on that one too. Put that on our watch list. All right, so I didn't see anything else out there that I thought on NASDAQ was pretty attractive. On the losers list, we know why Groom is down. It's obvious, remember this one? We traded, it was all into $9. It was a great run up. Now starting to go back down. Great little short squeeze on that one. Rents, can't short that under a dollar. New York Stock Exchange, garbage, as usual. New York doesn't usually have any good pre-market trading like NASDAQ does as always. And you want to come here every morning, you'll know that. All right, so we got about four plus one on the B list. All right, so this is what we're gonna do. If you're watching us on YouTube Facebook Live just please make sure you like us and friend us, share us, let us everybody know.  So don't log out. We're gonna take a break for about 15 minutes. So we'll be right back. We're gonna do all the commentary. And then everybody here inside the group room, listen, you guys know how to trade. We've been trading doing this for a while. You know how to deal with Fridays. You know how to deal with September, October, November. I'm actually gonna be away this weekend. I'm gonna catch a flight out of here.  I am going to be at, for some of you here, hold on a second, at the Money Show. And if anyone here would like to join and see us at the Money Show, let me just give you the link for that. Yep, if you go to your portal page at Cybertrade University, let me just click right here. Here's the Money Show. I will be there live tomorrow at 4.30 to 5.15. Please register. We are gonna webcast it too, so you could at least go listen along.  So if you're in the area, make sure you come and visit us, all right? So I'll see you there tomorrow. All right, in the meantime, everyone, good luck today, Happy Trading. Don't go anywhere. We're gonna take a quick break for 15 minutes. We're gonna come back once the market opens up, all right? Thanks, everybody. See you in a little bit. All right, so let's wait the first few minutes here to see what we can get. Just sit on our hands at first and the verb trade, trying to bounce back up right now. That was all over the place the last few days, right? I like Fridays because you know what you're getting and if you get more than what you get, then that's a good thing. But, oh, you know what's moving right now? Okay, so I was happy this is popping right now. SWBI, Smith & Wesson Fausto. They weren't trading any volume in pre-market, but I know they came out in news, my get, and I think it was earnings. But yeah, at eight o'clock, I was like, wow, they're only trading like 8,000 shares. I can't put this on the list yet. But, yep, that, the Smith & Wesson, both. Smith & Wesson is a big spread, though. You need to be careful there. I'm not a fan of that order book yet. It's up 20% already, though. My AI from yesterday is still pushing up. It's going up towards 28. Yeah, I'm gonna have a lot of that this morning, I feel. Man, this Smith & Wesson. I was trying not to even say it myself. I don't want to jinx it. Yeah. That's the hidden one today. I don't even want to, I'm watching it right now. I don't even want to talk about it, though. If it pops, I'll be the hat. Smith & Wesson, Smith & Wesson, nice pop over 13, actually, they're testing. 13, that order book is so thin, though. Rich, post the Smith & Wesson book map, if you can, in our chat board. There's some news, let me, you'll see me on my phone right now, Fausto. So I'm checking, actually, what I saw in Smith & Wesson yesterday on Twitter. There was some thing that I saw. Oh, that's, they reported good earnings. I know that. They beat their EPS and the revenue. So I guess the whole headline is consumers still just buying guns and it's not a fad. Obviously, where Bitcoin is this morning because Mara's making a pullback here so far. Yeah, it definitely looks good. Egan calling out the IONQ, which is always one that's been moving of late. It's definitely a step, hell yeah, that's a pretty trend, Egan, really good call. Egan, are you in that trade right now? I hope he is. My AI is still holding here at the highs, 28, 18, 28, 20. Yeah, that IONQ has just been like kind of like a mainstay of late. Yeah, definitely. Yeah, Jeth, we've been calling out Smith & Wesson. I called it out off that first pop. It's got a big spread though. You're also saying it's chipping away at 13. There was also a smaller iceberg at 13.10 from before. The stock that I will remain unnamed is still kind of holding out at highs, Fausto. Is this the ROC trying to make a move? I mean, Rich is just calling it out. He's trying to hit the VWAP at like buck nine. Ah, there we go, Michael. Michael getting some good money. I always gotta say this about Michael just anytime because he's here every day, so I don't say it every day, Michael waking up really early on the West Coast. He lives in Hawaii. Thankfully, he was safe with everything that had happened, unfortunately, in Maui, but you know, he wakes up very early. So I commend him for doing that, alongside any of us on the West Coast, at least, you know, even on Pacific time, but Michael getting 23 cents on that trade. What time is it in Hawaii right now, Mike? It was like two o'clock in the morning? I actually like re-asking this question because I always forget myself. So Michael, I know we are asking that. 3.30 in the morning. He wakes up at 1 a.m. his time. I remember he said that. There you go. I was like, I'll tell you what, that's honestly better than waking up at like 5 a.m. my time. Wow, that Smith and Wesson crashed, right off those icebergs at 13 and 1310. That verb made a really nice pop. Broke over two. Oh, there we go, Michael. Michael took a short on Smith and Wesson. You have 50 cents on it. And there's the pullback. Big shake down to two. You got one of the pot stocks going with the one that shall be unnamed, but CGC, that thing's been on it terribly. I got out a little early on a position I was in a couple of weeks ago on that, or a week ago, whatever it was, but should have held on. That thing's still popping up nice. Definitely is. I, hey, the faster it goes up, I'll clock out earlier. Like we talked about it just yesterday, right? That's like, well, you always preach in terms of holding on with the swing trade, but either way, I'll be happy from that 2588, 26. Yeah, I got to check back in on Bitcoin again. It wasn't really doing a whole lot just a few minutes ago, but as long as it holds higher lows at this point from like last week, I'll be, I'll be content. Yeah, Bitcoin hasn't gone much of anywhere just yet, and that could be the concerning part because if that's like sell off before the weekend and then Bitcoin drops off on a Saturday or Sunday, I would imagine it would gap down Monday morning then even. So, nah, I don't know, let's hope that 10.50 holds. Let's hope 10.50 holds. Yeah, when you're on vacation, I was shouting out a 10.50 to 10.70. So when it pulled back towards that price, I was very jumpy to take a small entry on it. I was saying at the time, I wish I got in on more, but let's see if there's room to add more or if it breaks lower. So if it breaks lower, I'm gonna get stopped outbreak even and I'll be there with you trying to get back in. Man, AMD's been on a nice tear this morning. The IO&Q pulled back a small bit, but it hasn't really broken a lower low just yet. You know, there's still time for that to try and run back up. Not a bad morning so far for the market. Spies just on a nice trend. Yeah, I can't, that came from nowhere, didn't it? That big ice, oh, we see someone just laddered up at like 220. Just got hit.  I think it's, I think it's so volatile. There's still time though, in terms of like, you know, trying to focus on the cyber clock and I mean, the faster it pops, it might get halted here soon, but look to see us break higher again. We have our mover right now. You can see it back off a little bit. Yeah, that thing was just an animal. It was on Tuesday, it made it run. It went from like $1.50 to about $3.50 at the close. That was just crazy. AI's pulling back just a little bit, broken new high before, but shaking back down now a bit. AMD is rocking. Yeah, like something like the mega cap or large cap stocks like you said, Apple and AMD pushing up well. Yeah, AMD's just had a nice little shake at that 108. Not you made enough a little move? I got another one. Oh yeah? THTX, it's got a thin order of books. You need to be very careful just to call out right now. Hopefully that book fills in more even. It's only trading 350 or 70,000 shares.  Unverb 220. Oh yeah, it's definitely low float. Yeah, and you know what? Even on that, you might say, okay, maybe at 1030 that could bounce. I'll look for it, but I'm not overtly confident we'll get that bounce just yet. Might just flatten out, just chip around a bit. That's another one that's crypto related too, so it doesn't show, oh wow, that's taking a hit. Yeah, yeah, that is a big drop. That's a steady drop. Crypto payments, I believe. Yeah, I believe. And I think that you could purchase on square or block if I'm not mistaken. Could be wrong on that, but so they switched their name to block from square even though their ticker is still SQ. Their name is block as in blockchain, if you think about it. So, yes, I don't know the exact affiliation, but they definitely own some Bitcoin, I know that for sure. Yeah, I think so. Egan with a nice catch on his own call out there, he got in at 1780 out of 1830. The clean trade, AMD with a nice sling shot. That just popped over 109 pretty nicely just now. Really nice sling shot on AMD. Big resistance up top on that one at 110. My AI trying to curl back up to the highs again. Very shoulda coulda, what I was contemplating, jumping in on a day trade position for AI just to take it there, but that's all right. It's been a really active morning in terms of opportunity. If you're looking to take trades, they're out there. Right now, I'm monitoring a few positions I've been in from yesterday and last week. Haven't been as trigger happy this morning. Yeah, it looks like it's trying to head back up again. What makes it so tempting is it has a great order book. At least it's not on a crazy spread just right now. Got good volume out there. Got an iceberg order on that trade for right off the high at 230. Yeah, this verb is looking pretty good right now. I mean, if it could build over, what was it? Like the previous peak there at 215, 217 or so. It was a good case to see that try and break a new high. That stock took such a big hit, I was still looking at the long-term chart on verb. AI knew high the day right now too. That's looking actually pretty good. Yeah, that was a smooth run on verb. Right up to that iceberg at 230. An AMD, more expensive, but that is just smooth sailing up to 110 it seems right now. Yeah, it's trying to at least do that. It's got to hold over that last peak. Rich, you met on the five minute chart. Just so you can see that. Yeah, that like 215-ish area. If it could hold over that, I think there's still good reason to see this break higher. Rich was asking me about it. I ended up watching parts of it. Just, I heard they're cheating a little bit the offensive line. There's some rule that, I feel like AMD is setting up for another pop soon. It's got to hold higher lows though from here. Yeah, verb is still doing pretty nice. Verb's got a nice little move right here right now. There it goes. Boom, just broken that 240. John Lash said he couldn't hear me on YouTube. Just want to make sure you guys could hear me okay. He should move on that verb. Look at that. What do you get as a category three? Yeah, right around there. I mean, the spread is really nice, but it's not like level one. So probably more of like a three or so. AMD just broke below supports. It'd be a little careful there. It needed to hold over like 109-31 or so. Just broke right under that pretty quickly. So I'd be looking for a really quick snap back up on that or otherwise just, I think it's gonna. Just really get a little bounce here, by the way. My notes on the expensive side. So if some of you advanced traders might want to look at that, you're Smith & Wesson just died. Taken out of my watch list. BIOSC's done 51 million shares and just really hasn't gone anywhere. Marcus, flat job.  And the bid is just took a huge crack down. Yep, AMD's went with it. Yeah, everything's just like collapsed just now. Oh, there we go. Ryan and Jith both just before on the verb trade, getting in and out before the crash. So good exits there. You know, I was gonna pull the stock earlier, but I wasn't too, it's completely sold on. It spreads pretty big, small to your sizes. Volume's only at 1.4 million, but the C-Bay, I don't know, it's breaking 52 EIs. AMD coming down hard towards the VWAP price right now, a little over 108.50. I think it's gonna crash under that at first. So normally I'd look for support there, but I'm gonna be pretty cautious. Volume's a lot very light, but this stock looks like it's pushing to HSDT. This one got crushed. Yeah, that was a crazy one from, what was it yesterday or two days ago it was? Well, last year it was like 300. Oh. That's pretty crazy enough. Yeah. On the IO&Q trade, it wouldn't shock me if it drops all the way down towards like 18.10, but if not, then this could be a nice area here for the meantime, like 18.34. All right, let's see what else we can get here for right now. All right, traders, if you're watching YouTube right now, just to let you guys know, we're gonna be closing out. I hope you guys enjoy what we did so far going on this, basically what we did so far regarding about up to this 10 a.m. If you wanna join us, just make sure you like us and friend us. You got a QR code up on the top left-hand corner. Just click on that QR code right there and you'll be able to come and continue what we're doing right now in our cybergroup room. And hopefully, you wanna continue. Just be very careful. Fridays are kind of like a little difficult, but we'll be back here again next week. We'll be live again here at 2.30. We could see you then back then too also, but like I said, we're gonna be going up constantly with this commentary. We're gonna be live right now, going up all the way up until the market closes. Usually you get a lot of good action right around the 10, 10.30 volatility, maybe 11. There's always new things that are gonna be coming along. So, but anyway, thanks for watching. Hope you enjoy it. Please do us a favor, share us, friend us, and we'll see you back again. All right guys, thank you so much for listening. And if I don't see you, enjoy the weekend. I'll see you back next week.


Good morning. Bonjour. It's a great pleasure to be with you today. Thanks to Vladimir and Fabiana for inviting me for the joint research centre. It's a pleasure. I always love coming to Brussels. I live in Switzerland, but I'm originally from Germany, so I am European. I love coming to Brussels because it's great to see all the thoughts coming together about our future, about Europe, you know, and God knows this is not necessarily an easy time today. I'll talk to you about my 10 future principles along the lines of my book. We do have some copies available later if you want technology versus humanity. And I want to start with this. The future is better than we think. You know, it's interesting these days we see all the bad things about the future, right? Robots will take our jobs, the Brexit, Donald Trump. That's of course not bad for the future. Just kidding. But we have all these things we feel are worried, right? And people are really thinking about the future will be bad. I think the future will be fantastic. We have lots and lots of issues, but let's think about the positive things, right? Poverty, declining, energy, switch to renewable energy, 20 years. Artificial intelligence machines helping us do the work. That can be terrible, but I think it's going to be mostly bad. The thing is really this, that we just have to agree on what we want. It's not technology that does anything to us. I mean, we are inventing technology, right? As William Gibson once famously said, technology is morally neutral until you use it. And it's really up to us how to use it. I mean, we're inventing this stuff. It's interesting to see that all of the big companies that driving technology are either Chinese or American, mostly American really, right? I lived in the States for 17 years. I was witnessing this. But the research is behind it. They're actually European, right? It's interesting to see how that has changed though. We have to agree. If we want the future to be awesome, as they say in America, and we have to make it so. It's not going to be the tech companies that make the future awesome. They just built the tools. So it's subject to our social contracts, the politics, the ethics. So the big debate about technology is not about whether it works, but what do we want? Do you want to become technology? I mean, that's the story of technology, right? I mean, if you live in Silicon Valley or in China, the story is that we're going to become technology, merging with technology, connecting ourselves directly to the Internet. So point number one, we're going to change more in the next 20 years than the previous 300 years. And that's not a joke or a hyperball, right? Because now technology is changing us, is actually going inside of us. You know, not from the mobile phone to wearables to prosthesis to the brain-computer interface, the neural lace, right?   That's your second brain. And if you have kids, you can safely say it's their first brain, right? It's in here, right? So everything is in here, the music, the day thing, right? The stock market, you know, everything is in here, right? And this device has more power than the machine that brought the Americans to the moon, right? It's mind-boggling. So where is this going? I think it could be fantastic or it could be terrible. The bottom line is policymaker needs to adapt. Speed, depth, scope, money, funding. Because the future is here. The future isn't tomorrow. I mean, the future is just, if you go to Japan, you can see the future of me and people have electronic house pets, right? I mean, it's mind-boggling how the future is already everywhere. We just have to pay attention. So policymaker is in a real challenge. And I would say every politician in Europe that wants to go anywhere should pass a test on digital ability, digital understanding, not programming, but understanding. I mean, I live in Switzerland where we have a particular issue with that, but this is really the challenge, right? This man-machine convergence, I put parenthesis, that's the key challenge. How far do we go with this? Because technology today, if you speak to a computer, you're using Alexa or Google Home or Siri or so, it kind of works, but not really. It's not hard to imagine where this is going. In five years, we're going to talk to machines as if they were human. In 10 years, they will make a copy of us and represent us if we die. Well, that's already possible, just not working too well. The cognification of networked machines. Machines acting kind of like humans, even though we know they're not really humans. We had that today, I'll show some examples, but that is a tidal shift. Not just for work. I mean, we're going to lose lots of work here, but of course, we'll have many, many new jobs also generated, and we don't even know what they are. I mean, somebody has to build them, somebody has to train them, somebody has to keep them in check, somebody has to turn them off at the right moment. But here's the challenge. Technology is exponential, but we are not. You are not going to be exponential as a human for the next 10, 15, 20 years. Until they invent the tech in Palo Alto, California. Because we can't just plug in the chip, we can't speed up, we have to sleep. We are just inefficient biology. And now it's funny, we are at this takeoff point until now that was kind of like, we could easily hands down beat the machines. But now it's getting their language translation. Machines can kind of not like the official EU translator, but they can kind of do it.  How much is 30X up the scale, 40 years, 50 years? I mean, we can't even describe what the world would be like. The kids of my kids will not be able to drive a car. They will just speak to the car and it will go. I mean, that future is gradually then suddenly, as we take from Hemingway, if we keep thinking linear, it will be very bad for us. I mean, we have no choice but to think linear because we're human, but we have to imagine exponential. We have to imagine this curve and this is the key point. We're actually at the takeoff point of this curve. When I first started doing tech stuff, I come from the music business. I was a musician and before that I was a philosopher. When the tech business, I was at the beginning of the curve, nothing really worked, paperless office, streaming music. But today, science fiction is becoming science fact, robotics, quantum computing, the stuff that we read about in 20-year-old science fiction stories. This feature is exponential. It is combinatorial, combining all of the trends and it's also convergent industries. This is really hard for us to get. If you want to be in four sides, not predictions, I always say I do four sides, not predictions. I hate the idea of predictions, but I wish I was able to give you predictions. I could buy some stock, but exponential combinatorial conversion, that's the mindset we need. That's the mindset we need to deal with the future. If we take a look at this map, the changing trans-map, I mean, if you give this to anybody, it would say, wow, this is all happening right now, nanotechnology, neuroscience, biotechnology, personalized medicine, next 20 years. I would grant you that, being able to solve cancer by genetic engineering, that's probably more than 20 years. But it's within our time frame. So we need to think like this, combinatorial, convergent. And I think we can do that here in Europe. It's funny that I lived in the US for a long time. People think of Americans as doing this, thinking big. I think we can do that. I think we can do it just as a cultural question. We have to gear up to take a wider view. We have to look at what are called the mega shifts. It's not just digitization. I mean, if it was just digitization, it would be easy. In my book, I talk about chapter three about the mega shifts are basically a moving target. So we have cognifications, smart machines, virtualization, 3D augmented reality, we have robotization, augmentation. Those are tidal waves. We have to understand them together. There's a small website I'm running called mega shifts.com where you can download the slides. So the third point is that it's really important to remember, I've been saying this for 15 years since I started speaking about this, data is the new oil. The power, currency of the web, the reason for war, no longer oil, gas, nuclear, it's data. I mean, this is what we're calling about with social media and surge engines. This is why Google has to, allegedly, pay 2.5 billion euros. It's about data. And it gets worse or better, I think it gets better. But artificial intelligence is the new electricity. And Nanji said this from Baidu, a big Chinese digital company. If we have lots of data, we can't do anything with 100 trillion data feed about NATO air traffic. I mean, no human could possibly work on this. Now that we have machines that can think, well, I'll tell you later what I think of that. But machines that compute 100 trillion feeds in 10 minutes, we can make sense out of it. I mean, these machines aren't human just because they can compute, obviously. But artificial intelligence is a huge thing. And I would say, in reality, really, most of what we have today is intelligent assistance, IA, not AI, fancy software. But that alone could help us solve huge problems in environmental control, logistics, traffic, media.  We jokingly say, smart everything. Maybe even smart politics. We can have this together. That's our future. That's in a nutshell. And it's possible. The only thing we need here is governance. I mean, in theory, the only thing in parenthesis, this is the biggest job, obviously. Technology-wise, it's possible. Accountability frameworks, regulations, ethics. I mean, let's be frank, nobody really likes regulations in the industry. As an entrepreneur, I don't like relations.  We're not going to get there without regulation. That's like saying to the oil industry, drill wherever you want. It just makes money. It's fine. Well, not quite. And here's the key point, Tana Perkins' latest slideshow from Mary Meeker. Who in the world decides what happens here? Who decides on oil, genetic engineering, cloud computing, geo-engineering? Take a look at the richest companies in the world and see how much they've grown. This is Trollians here, but not Italian lira. It's huge, right? And they didn't even exist until now. So here's a question I have for you. What about us? I mean, these Chinese American companies, right? And of course, they're hiring all the Europeans to get there. But we need to build the expertise here. We need to get the investment in here. We need to join together on research. We really do need the United States of Europe. It's a concept that I'm sure you're familiar with. I mean, this is a huge challenge. How are we going to get there? How are we going to live in a world where this is our new reality, a place where essentially everything we know is going into the cloud? Healthcare records, money, digital money, blockchain, transportation, education, media. Now, we can say, oh, we don't want that. That's too dangerous. Good luck with that. Okay? Because cloud computing is 90% more efficient. How do we maintain our data sovereignty? Well, the answer is, you know, we need to have it here, in my view. Let's get Google to put the data center here under European control. I mean, this discussion is raging, of course. Microsoft already has that in many ways. But you know, how do we define this in our own terms? That's a very big question, because now we live in a world where this is the new normal. I mean, companies are essentially creating a digital copy of us. I mean, that is the business model of most technology, making a copy of us. I mean, the whole Facebook debate, you know, Mark was in Brussels, kind of a strange thing that he didn't really get the right questions, in my point of view. But I guess people were in awe of Zook. But that's what Facebook does. And then it sells it back to us. That's ingenious. So here's the question. In our digital lives, who will you trust to create a digital copy? That's what every tech company does, whether it's Amazon or Google or Baidu or Twitter, or you know, they make copies of what we're thinking. And that's not necessarily a bad thing within reason. All technology is good within reason. You know, you can be addicted to television if you overdo it. But you know, global tech companies need to earn their license to operate in Europe and of course worldwide. The license to operate is not just about money, it's about legally, financially, socially, morally, whatever else you want to add to that list. So when we have these conversations, you know, how do we get them to get a license to operate? I deleted Facebook four weeks ago. And I was one of the first big proponents on Facebook. I dropped Facebook because I figured that, you know, enough is enough. Do we need another data Fukushima, you know, to realize what is actually happening here? So point number four is data is great. Data is not God, as Amazon Bezos kept saying, right? Dataism is not. You know, dataism is basically saying, okay, everything that is to be done, data has to prove it. I mean, IBM CEO talks about how the entire world would be better off if machines made decisions, including policy decisions. Maybe Trump is already a bot, you know, hard to say. Maybe something wrong with the circuitry inside. But anyway, here's a great saying from Ronald Koso said, if you torture data long enough, it will confess to anything. In other words, what that means is that that's true and not true. You know, it can be very valuable, but you don't know which one.  If artificial intelligence controls the traffic in cities, we will not be able to drive ourselves. Because if we can't possibly fit in, we'll just be a nuisance, you know, maybe a pet to be stroked. So technology is now the new religion. The mobile phone is the new cigarette. In fact, they go well together. But how sustainable is this? I mean, I love my mobile phone. I'm smart. I'm like glued to it, right? But artificial intelligence is giving me feedback about what I should or should not do. It could be extremely convenient, but is it conscious? You know, I'm not sure it's a right concept. Virtuality? I imagine, you know, we're addicted to the mobile phone now. Imagine how we're going to get addicted to this, right? I mean, if you're working all day long with a virtual reality headset, which is coming, right? Do you still want to be without it? Life would be so boring, right? Like a constant feed of crack. And then, you know, we have this concept, you know, people are building these global brains, right? In fact, the Google Cloud is called the global brain, right? Everything goes in there. Does it remind you of Skynet, you know, not intentionally, but this could be extremely powerful. Imagine, for example, cancer research, the health cloud, right? All the amazing things we can do with this. But maybe one day, you know, we'll get to the point where that is becoming a little bit too far, you know, to where we have this sort of algorithmic society, right? We just, you know, we'll just pull the lever and we get a result or we have this genie in a box that is telling us whether we should have children or not. We can just, you know, ask Amazon, where's my date? Make a suggestion. I call this machine thinking. This idea of saying, the whole world is just a giant algorithm. Well, I believe, you know, that we are not algorithms. It's hard to define why we're not algorithms, right? But that argument exists, you know, we are not organisms are not algorithms. You know, these kind of ideas come from technology, automation bias, de-skilling, deception. So in this world, you know, it's quite clear that we have to think about this very carefully. Human intelligence and machine intelligence are not at all the same. I mean, this is what we do. According to many people like Gardner, we have eight to 10 different types of intelligences. Kind of static the body. Some people even have emotional intelligence, mostly women, intellectual intelligence, right? And machines have this, right? They're computers. They're computing. They have computing fire power. It's two entirely different things. We shouldn't make those machines too much like us. You know, that's my point of view. And that we should keep them separate. You know, we should focus on the benefit of the grunt work, you know, calculations, you know, routines. So very important, you know, when we look at, for example, what machines can do today, even the most advanced artificial hand.  It's like a million euros for the most advanced. It does less than one percent of the human hand. Less than one percent. And he wouldn't say that this hand is thinking, right? It's just doing a neurological job of a sort, right? So it's very important to keep in mind the Moral Edge paradox. Whatever is very simple for a human is very hard for a computer. And I don't think we'll resolve that for the next 50 years. So I'm not really with Elon Musk or Stephen Hawking on the projection of AI taken over the world. But nevertheless, you know, we have to be careful and think about why we do this, because in the end, this is the bottom line. Machines don't do relationships. Machines don't understand what is not said. We do all the time. This is what we do. In fact, we understand more when we're not saying anything. We're not explicit. We're implicit. Love, right? I mean, love is not an equation. Your wife isn't an algorithm. Efficiency doesn't play a role in love relationships. When we think about this, you know, where we're going with this, it's quite clear that, you know, this is an old philosophical phrase, you know, that basic technology is not what we seek, but how we seek. And it should remain so. It's a tool. Technology is not a purpose. Sorry, Silicon Valley. That's just not a good idea. We have to, you know, as they say in positive psychology, these are the five things that we want. Relationships, meaning. Of course, in Europe, you know, we're humanists, so it's very close. And this really fits in what we want to be. Point number five, clearly, technology is neither our saver nor our destroyer. It just exists. I mean, it could be magic. It could be manic. It could be toxic. God knows, you know, toxic technology we see everywhere, right? People having closer relationships with their screens than they have with people. You know, the amount of loneliness that has exploded on social networks, the power use of social networks are the most lonely people in the world. That's proven. Why is that? It's because governance, you know, do we need to think about this? I'll give an example here about good and bad technology. This is a new tool by Google called Duplex. And it is a machine, a bot, that makes phone calls for you. Very useful. I'll show you why exactly. Here's the short demo. So this is a real machine that we'll call. Here's sort of a not official version of Google of this Duplex thing, which shows another version. What could go wrong here? Hello. Hi. Can I talk to Diane, please? Speaking. Hi, Diane. I'm calling on behalf of John to schedule an appointment. For what? The appointment for you to come pick up your belongings from John's apartment. Excuse me? John would like you to remove your belongings from his apartment. What are you talking about? I'm very sorry, but John has decided to end your relationship. Well, you get the point here, right? I mean, this machine sounds pretty real, right? I mean, imagine all the weird things we could do with this. So it's a blessing. It's a curse. But, you know, we have to strike the right balance. How do we make sure that the smart and connected Europe is also a human Europe? Because, you know, smart and connected makes a boatload of money. Everybody knows that, right? I mean, that's the next 60 trillion dollar ticket, right? But is it going to be human? We're going to find a way between what I call heaven and hell, right?  It could be both. So preventing hell and making sure heaven happens is the role of government. I mean, it's our own role, of course. You know, we, allegedly, we can determine the government and we can determine our own lives, right? But who's going to make sure that we have this balance?  Well, okay. Does it really change anything? I mean, obviously, you see the whole scandal of Facebook has increased the stock market valuation of Facebook. So we're going to have to figure out how we do this, you know, especially our responsibility to divide this in such a way that we want between efficiency and freedom, security and privacy, superintelligence and happiness. Will being superintelligent make us happy? No, thank you. I think it's extremely doubtful. In fact, many philosophers said the more intelligent we get, the more humanity we have to add. So there's a couple of principles from the Future of Life Institute that have laid this out. You can look it up in the website, Future of Life is funded by the OMAS, but they talk about how we keep this sustainable. Point number one, everything must be designed on human values. All technology, all implications, all the laws surrounding it, we have to think of the ecosystem. We have to actually embrace the externalities and not just drop them like the oil companies did, the side effects, shared benefits, equality to empower people, not to disempower them. It's funny now how social networks for a long time did actually empower us, right? But then it turned around and now it seems like, you know, we're empowering them. Responsibility. I mean, if you build these tools, you are responsible. That's the bottom line. Otherwise, you end up like the American gun lobby, you know. Guns don't kill people. People kill people. That's got to be the cheapest excuse you can think of, right? I mean, if you build tech that will change humanity, you're responsible for what it does, right? Whether it's part of the plan or not. I mean, this is a key ratio. We don't want this, right? Do we want this happening for geoengineering, for artificial intelligence, for robotics, unintended consequences and ignored externalities? We want this to look at this whole framework of how we're doing things. We want this to be like this. Now, we want to reach the good thing, right? We want to include those things. So, what we need here is wisdom. Frona says, as they are saying, good old Greek, you know, foresight, wisdom. So, point number six, we have to think about the ethics of technology because the bottom line is really this, you know, ethics does not have technology. Technology does not have ethics. That's a good one. That's a Freudian mistake, right? I should think about that, actually. So, this is our challenge, right? I mean, code doesn't care about feelings, love, emotion, relationship.  It's stuff that they can't understand. So, I mean, ethics defined as the difference between what you have a right to do and what is the right thing to do. And do you really believe companies that have a market value of $60 trillion, you really think they're going to say, well, let's think about this ethical thing, you know, that maybe we can just not get the $10 trillion and do the right thing instead, right? Well, that's unlikely to happen. So, we have to think about whether it's taken us because very soon, technology is going to be so powerful that it reaches a point called the singularity, which is basically a limitless possibility of technology. And then, we have to say rather than how and if, which is the question today, but why? The only question technology leaves open in a very short time, 10, 15 years, is why and who. Today, we're saying, well, genetic engineering, that's probably quite difficult, will cost $100 trillion to figure this out. Yeah, in 20 years, we're saying, okay, who's in charge? Why are we doing this? What are the values and purposes and the ethics? So, I'm proposing a digital ethics council for Europe. It really has to be, of course, globally. I think we need to have people who think about that. We kind of do, of course, and many of you are doing this at United Nations as well. But we have to think about, you know, this is the primary issue. Who is mission control for humanity? Do we want that to be in Silicon Valley as much as we love those guys or not? We have to be our own mission control. Very important question. Point number seven, for work. The end of routine is coming. Anything that's routine, machines will learn. Anything, including science, programming, flying an airplane. Let's just bookkeeping, driving a car, flipping a hamburger, doing marketing automation, you know, doing financial advice. And I'm saying that sounds like bad news, so it's not really bad news. It is an interim bad news because, you know, as you're gearing up for that future, you know, the end of routine doesn't have to mean the end of work, and it doesn't make us useless. I mean, are we just people that do routines for fun? We do this one work because it's just part of what we do, you know, accounting numbers, doing things. If we had a machine that could figure out four sides, we would use it. Does it mean we wouldn't be needed? I think it's very unlikely. And in this world, I think anything that is not digitizable, automatable, virtualizable, is gaining. And this is what we are. I mean, 95% of what we are is not data, is not algorithms, is not programming. You would argue maybe that can be programmed in 100 years, maybe. We leave that question to debate for, you know, while we have a drink, a strong drink later. But these are the things that our kids need to learn. Do I really want the kids to be programmers? Yeah, for five years, that's good. In five years, the machines will do it themselves. We already have this trend. Anything that's non-routine is good. Anything that is routine, declining. Non-routine also means artistry, electricians, plumbers, not just mental work. And then we have this balance between EQ and IQ. That's going to be really important. Emotional co-scient, you know, that's the number one topic. How do we learn that? I don't know, maybe today we can practice a little bit, but we need different skills. And education really has to change to support this, you know. If we teach our kids to think like robots, they will be utterly useless as far as the job is concerned. Because when the robots are smart, that's only 10 years away, they will do all of that work. As Oxford study says, 50 to 65 percent up to 80 percent in India. Emotional intelligence, creativity, critical thinking, design, cognitive flexibility, from left brain to right brain. Well, that's an old-fashioned thing, left brain, right brain. But, you know, these are the kind of skills that we need in the future. So I think Europe needs to invest as much in humanity as we invest in technology. That is crucial. We can't just say, well, you know, science and technology will save us. STEM, right? Well, in my book I'm proposing a new definition of something that's also very important. It's called HECI, humanity, ethics, creativity, imagination. I think our kids have to learn both.  Everybody has to know about technology. But it's much harder to know something about humans. So that's kind of where we're going, you know, because I like to say civilizations are driven by their tech, but defined by humanity. We're not defined by the tools. We are defining the tools. Or at least we should. So I'm coming to the end and I think, you know, the bottom line of all that stuff is that sooner or later, in roughly 20 years, our economic system has to change. Because technology may get possible. People have referred to that as a people plan the profit. But, you know, we're basically looking at things like, you know, going away from GDP as a definition to GPI and even the Bhutan thing, you know, gross national happiness, you know, which is kind of, I don't know really where that went. But also taken away work for money, you know, making a difference between work and money. Which leads me to this, you know, we had this in Switzerland last year, a vote on the guaranteed income. 26% of people voted for this. We're 11 0, 52%. I mean, if you take that vote in America, it would be 0.00. But Martin Luther King said, already this in the sixties, right? I mean, I think that's a destination we're going to go to. Quick summary and then we're going to take some questions. So the future is exponential. Have to be aware of this. It's not linear. We're going to be somewhere completely different. I mean, 10 years, that's, if we're at four today, 10 years is 256. Roughly in the scale, that's 50X. Not just a couple of steps there. The future is better. I really believe that I'm an optimist there. We just need to govern technology and what we do with it. We need to make sure that we do it wisely. Humans and machines are overlapping. Data is the oil, AI is the electricity. So therefore, we need strong leadership and digital ethics. I think this is a key asset for Europe because, you know, if you look at our entire history, this is what we've always been, right? Humanists would think of collective things. You know, we actually have common interests as much as you wouldn't believe that these days, right? That is the key to our future, the ethics council, right? Balancing the power of science, technology and industry, which is different things of course, with the human needs. That's a ball of policy making. In this world, you know, where you have a gigantic explosion of technology, there will be no other way than to say, well, we need to make sure that we put it in the right place. Otherwise, it's just a giant treadmill. The end of routine is not the end of work. We have to prepare. We have to capture people who are going to be out of job. We have to teach our kids differently. We have to think about social provision, social structure, and so on. I'll stop with this. That's my key sentence in my book. Embrace technology, but don't become it. I think that is sort of the key future. And finally, a word of my mentor, David Bowie, from the music business, who would like to say that the future belongs to those that can hear it coming. And I think this is why we're here today. So good luck, and I'll talk to you later. Thanks very much. Great. So I'm even more curious to read the book. I will start this afternoon. But I'm sure that there is plenty of questions somehow popping up from your mind, which is half blown by this very good presentation. So we have time for maybe two, three questions. So then I really would like to invite you to raise your hand as soon as possible. I see one here. I see one at the back. And third one? Yes, here. Okay. So we have three questions. Do we have a microphone? Or, yeah. So it's a gentleman here in the middle, and there is one here. So we will collect the three questions, and then you will answer. Okay. Thank you. My name is Attila Avash. Is it on? Yeah. Now it's on. My simple question is what about individuals, civil society organizations? You stress the role and the responsibility of policymakers, politicians, but you never mentioned individuals besides telling you that you were among the first who deleted your own Facebook account. I think those types of activities are very important as well when we are dealing with all these challenges and opportunities. Okay. The second one. Good morning, citizens. My name is Angelo Scharlathis, Epaphos Advisors. We represent here the ECOEF movement, a pan-European and Mediterranean movement, which is based in direct democracy in science and in ecology. Thank you very much for your presentation. But democracy is missing from your presentation because the ethics. Don't you think that the ethics council you are mentioning looks like the 1984 story it was written some years ago because the photoists, as you call them, they give us an idea, but here we are a high level of people. Can you do this on the streets? Because this is the work, and we have to deal with these people, and this is very difficult to bring them these ideas. The ethical councils bring a kind of fascism within. Thank you very much. Okay. Very good. Hello. I'm Mariana Dudurova from Bulgaria. I'm a futurist. My question is, you mentioned that human intelligence and artificial intelligence won't be the same. But when we speak in terms of superintelligence and general artificial intelligence, is it going to be anthropocentric or a totally different entity? What is your prediction? Thank you. Okay. All right. Well, let's start with the individual activity. Clearly, this is our choice what we do with all of these things, right? But when the choice becomes kind of a default, you don't think about using the highway. You just use the highway because you pay taxes. And we use Google like a highway. There are choices that we cannot make, and then we're just left out. Technology has this way of saying, yeah, I cannot use Google, I cannot use Facebook, I cannot use LinkedIn, I cannot use a smartphone, and then I'm basically toast, right? I mean, that's not a very good choice. And so really, what technology does is that forces us into this kind of digital feudalism, you know? And then we can make our choices and walk away, but that's not a very good choice. This is why I think we need to make those choices like I did. But on a large story, this is really a structural problem. And the structure around how we use technology cannot be done by single people. We can just choose not to use it. But imagine the day that we're going to have genetic engineering available to defeat cancer, 25, 30 years. Who governs that? Will it cost a million euros? Only rich people can live forever? I mean, we have to make those decisions as a society. So I think that's, it's good to think about individual action, but this is not, like we would say, well, then don't use it, right? What are the options on that, right? So this is why we need more competition and more openness. The question of democracy, clearly, technology is changing what democracy is and can be and how it's being defined. And the scariest part is that we thought what would be liberating to democracy, which is talking to each other directly in social media, turned out to be the opposite. It turned out to be manipulation pure, you know, the sort of global panopticon. And so I think we have to be, they're very careful there to also define if we want democracy, we're going to have to do something for or with or even against technology to make it so. This is not just going to be, it's all good because we get people talking. And the third question about artificial intelligence and humans. Yeah. What we have today is machines that have the processing power of the human brain, 300 quadrillion calculations, no, trillion calculations per second. Computers can do that, but the machine would fill the entire stage. There's like two or three that can do this. In 10 years we'll have a machine that can do truly processing of all human brains, like 10 billion. So processing wise we're going to beat people, but people aren't processing. Human intelligence isn't about computing power, even though that helps if you have more of that, of course. It's about many things that we can't even define. It's very hard to teach a machine those things because it's not binary. So my belief is that we're going to use technology for the jobs or we need this computing power. Will we use it for the jobs or we need humanity, like love, you know, legal work, probation, decision making? I think that's a bad idea. It may be possible and I think the question has to be tabled for at least 50 years when machines finally have this power. Then we have to decide who we are. So I see it much more positive. I think this is really just amazing stuff if we put it in the right place, in the right framework. I wouldn't want a machine. I'm happy with a machine that has an IQ of a trillion, processing wise. I wouldn't be so happy if that machine then got set free, so to speak, in such a way where it would make actual human decisions. So a doctor using a machine that has a trillion IQ would be very powerful, but should we let the machine talk to people and replace the doctor? The answer is probably not. So this is really what I think about AI. Okay, well, there are many questions and many answers and I think it's good because it will keep us busy, not only for the next two days, but also for the following few years. Obviously, Europe is a great source of fantastic humanitarian steps, culture, diversity, but it was unfortunately a source of absolutely uterus and disastrous things. So then I think that it's not only positive, we have to be very attentive just to make sure that everything that is coming is positive or will be positive. So a lot of food for thought discussions for these two days. I think a fantastic, great starting point. You frame this debate perfectly, Gert, many thanks. Thank you. And applause for Gert. Thank you.