Welcome to the rich TV live podcast. I'm your host Richard D'Souza and today we're going to talk about the hottest stocks of The day we're also going to talk about crypto Bitcoin, Ethereum and what's happening in the world of cryptocurrency because it's just crazy right now But first of all it's gonna look at the hottest stocks of the day as we go into a Thanksgiving Thursday in America And we're like what a month away from Chris's So get your popcorn ready your boy Richard rich TV is here We are live. We are interactive. You have any questions. Please throw them in the chat We are literally streaming everywhere on all devices all platforms Let's take a look right here right now exclusively on the rich TV live podcast. Here we go All right, so let's take a look at these charts. So number one player of the day right now is agil They are currently up 100 and 2% now I've been showing you guys this trend where Every single time Is there something wrong here? Every single time We look at these charts. They always look the same They always look the same. I don't know why but they always look the same And it's no different right now I mean we're looking at these charts and once again, they look the same So agil it's got this look where it Comes down Finds a bottom and then does a dead cap bounce. That's been the ammo all year That's how they've been trading all year. So you have to assume that it's not going to necessarily change It's like it's like the year of the magnificent seven And it's been the year of bitcoin the year of ethereum the year of Draft kings and uber. There's some stocks that have done really really well Obviously microsoft is at a 52 week high NVIDIA has killed it this year tesla's had a good year apple's had a good year amazon's had a good year Google's had a good year the magnificent seven have done extremely well meta has had a monster year The magnificent seven plus bitcoin and ethereum and some cryptos and a couple other stocks have done really well Other than that It's been tough these stocks have come down. They've come down a lot So i've seen this trend where they come down and then they do a dead cap out So as a trader when you see a stock up 100 it's really difficult at that point to say, okay Now's the time to buy. How do you know what he knows? When's the time to buy? right, so Very very difficult. Okay, so as a trader. We want to be very intelligent We want to be disciplined. We want to buy low sell high I don't care if you're buying stocks crypto real estate. You want to buy low Sell high you want to eliminate emotions and trust drives my eyes say this is a stock that's going down It's having a dead cab bounce, but the chart looks like it's been going down. It's gone from four bucks to under 10 cents That's not good But just because it's having a good day and it goes up 96 in a day doesn't mean it's a good stock So i'm not going to go and buy agil not to say you can't go up could could go up could go down Could go sideways can go anywhere But i'm not going to immediately just go buy it just because it's up 97 of the day But what i will do is i'll put it on my watch list put on my radar Watch it keep my eye on it get to know the news get to know the company And eventually could be a great buy because the thing is down from four bucks and it's at 16 cents So even if it goes back to a dollar it'd be a huge win for investors So put agil on your radar and on your watch list and you're gonna see a lot of these stocks I've been charting Because i've been looking at all the top stocks all year and i'm keeping my eyes on all of these stocks So here's one that's actually doing really well And I think it has a chance to go much higher because look at the chart So it was at eight dollars. This is mrai It was at eight dollars went all the way down to 30 cents. It's back to two dollars and 73 cents This is different This is different. This is something that has broken through the downward trend and now is trending up You can clearly see if we go to the one month chart This thing is going up Over the last month from 30 cents to essentially two dollars and 70 cents now. So it's been on fire This is different. This has got momentum. This is going in the right direction And it's making big moves like chunks of like 90 in a day I haven't bought this but this is one that i'm interested in. This is one that i'm watching I'm keeping my eye on and I think it has a lot of potential I've talked about it a lot over the last few weeks because look over the last month. It's going up It's going up and it's had really big news. So put mrai on your radar on your watch list I think it has a lot of potential now when i'm looking at the markets. I like to understand the overall market So let's take a look at market watch And I want to show you guys what I see so the dow jones is in the green Another green day for the dow jones up 0.52 and 182 basis points the smp 500 also in the green Up 0.46 and 20 basis points the nazdaq also in the green 0.63 or 89 basis points interesting green day again a day before a holiday in america so kind of Green but lightly thinly traded day going into a holiday the vixx is down and been getting beat down because the market is up I mean, we're close to a 52 week high here in the markets at 35 000 dow So the markets are really high and we're pretty much having a santa claus rally right now Gold just under 2000 and every time I guess that 2000 mark seems to sell off and oil Has been bouncing around all year been as low as 63 been as high as 95 and we're sitting right now at 76 So oil kind of kind of floundering right now Not really knowing where it wants to go. All right That is market watch and that's what we are watching in the markets All right. Now, let's take a look at some other stocks. Here we go. Here's r e l i rally rally is up 48 percent This is the yearly chart and once again, it's got one of these similar looking charts. We've seen it all year I've been talking to you guys about it. It's been very predictable These charts where they've all come down pretty much all small caps have come down And this has come down from 10 bucks in the last year to a low of 82 cents and is doing a dead cap ounce up 48 percent on the day. Do I trust this? Not really. Would I put it on my watches? Will I put on my radar? Will I keep my eye on it? Absolutely But very difficult to trust because the trend has been down Trend has clearly been down. I mean, it's a pretty obvious trending down chart Right, doesn't get more obvious than that. It's pretty clear Charts been going down all year. So do I trust it just because it has one bump up? Nope Ain't gonna trust it But definitely keep my eye on it put on my radar put on my watches It is above a dollar Which is a good sign and if it stays above a dollar I would not be surprised to see it go back to two or three bucks or even higher This is kind of what the market is if it gets under a dollar it gets Beaten down by shorters market makers Insiders that are selling. So once it gets under a dollar It's a no man's land and it's controlled by the shorters and the market makers once it gets above a dollar That's when it gets a little bit more interesting Because especially when nasdaq stocks once they get above a dollar sometimes they can have some moves So definitely keep your eye on r e l i M and y Look at this one money hero up 30% all right So this is the last three months So you can see that it's done once again this downward trend And now it's doing an upward trend So a downward trend followed by an upward trend. So I like that pattern I like that kind of angled l pattern I look for that as an investor. So this is bullish for me. This looks good But where's it going to go from here? That's a million dollar question Very difficult to figure out. But that's why we do these shows. That's what we do here at rich tv live We do all the research we do do do we do the due diligence? I look into these stocks every single day I'm always watching the market analyzing the market screening the market for Companies that are undervalued underappreciated underexposed that have an opportunity to explode This is one i'm watching m and y put it on your radar and put it on your watches looks very interesting to me cdt Another one that's looking very similar these charts are so predictable. They all look the same They all look the same Right at a dollar 70 and and it's funny because all the trades that are up Are all these small caps because they've all been down so It's like I said, it's really tough to trade right now because it's like where does it go from here, right?  Where do they go from here? Hard to predict because all year this is what we've been seeing and then a lot of times after they go up They go right back down I mean I've seen it over and over and over again my list of stocks that were up yesterday today are in the red This is what it's been all year with the exception of the magnificent seven couple others like draft kings and uber And bitcoin ethereum and some cryptos most of the stocks have struggled this year Okay, and I believe we've only got a month left. So we're having a santa claus rally. This is very good But you have to assume that At some point as we get closer to the end of the year This is tax locks tax loss selling season people are going to start selling taking profits Getting ready for christmas. So just be careful right now. I think it's time to be really careful I think all investors need to be extremely careful really cautious right now.  It's up 6% today I mean, that's Unbelievable like that that's a 6% move today on ethereum After the bad news That's really bullish for ethereum. Obviously. I'm a holder of ethereum. I'm not telling you guys to buy ethereum I must remind you guys that rich tv live is strictly for information and education purposes Please do your due diligence do your research before you invest in anything we talk about or discuss here in rich tv live And past performance is not always an indication of future results This is actually a company that i'm doing some some work with it's called nightscope ink The symbol is kscp a nasdaq stock That's also had a big move this year an ai stock that also had a big move It's come back down put on your radar and put on your watches an ai stock nightscope ink kscp That's on my sign right here. Okay so ethereum Big move today up 6% don't know what it is that's making a move like this But i'm excited about it. I'm a holder of ethereum It's my second largest crypto holding and i'm very very bullish on ethereum And i'm very excited to see this move ethereum right now up 6% and if we look at it for the year you can see ethereum has been on an upward trajectory all year It's been doing unbelievable and up over 100 for the year So very very bullish on ethereum And like i said, it is my second largest crypto holding and congratulations if you're holding ethereum It's been a big winner this year and i think it has a chance to go much higher All right amd the second largest chip maker in the world behind navidia navidia just reported a monster quarter record recorder for them Very bullish on navidia. They've done extremely well amd is the second largest chip maker and they've also had a very bullish move all year As you can see this move here from $50 to 120 up over 100 on the year. So keep your eye on amd ripple ripple is my third or fourth largest crypto holding I want more of it. I think there's a lot of upside for ripple. They're up 4 on the day. Keep your eye on ripple It's nice to see that cryptos are bouncing back today after everything that happened with Venance the largest crypto exchange in the world yesterday. Here's roblox.  I'm not an owner of it, but I think that this is one that has huge potential I've been marking it up. It's dropped and I think that this could eventually be a $100 stock So I think for long-term investor, which I am And i'm sometimes a short-term investor. Sometimes i'm swing trading day trading just depends on the market Depends on the volatility and how I feel and what I'm planning that day or that month of that year But right now I really like roblox. I'd love to get a position in this one thinking about it And I've got them on my radar. I've got them on my watch list It's on my short list of stocks that I want to buy And if I buy this stock, I'll let you guys know and if you want to join our community at And on our website, you can join our website absolutely free at rich tv.io An ecosystem built by investors for investors where you can learn about the markets Learn about breaking news trending topics in the world of finance We can navigate the markets together conquer market labyrinths savvy insights and dynamic chat and we watch all the markets All the stocks all the cryptos 24 hours a day seven days a week And you also get access to all of our feature videos shorts trending news CO interviews chart analysis weekly shows We also have built-in personalized watch lists on the website expert top picks real-time market alerts Vibrant group chats in-depth technical analysis and interactive live trainings We also do our top 10 stocks every month and our top 10 crypto updated monthly We can see the results updated monthly And we've got in-depth market analysis and latest financial news all at rich tv.io All right, let's get back to the markets here. So Very very bullish on roblox. I think the upside for them is absolutely tremendous And I think everyone should put roblox on their radar and on their watch list I think it's just too good to pass up right now I mean that chart just looks like money to me and this is a company that's a growing company And when I talk to the kids, which I got two teenagers They tell me they play roblox and their friends play roblox I like that. That's what I like to hear is like, are you playing roblox? Yes, okay Now you got my attention, right? So I really believe that this is one that's going to grow When the kids are using it you have to assume it's only going to get bigger and better over time And I think that the price is right I mean it's been as low as 24 Been as high as 134 and we're at 37 So I think even at these levels is a pretty reasonable buy, but I think it could go Much much much much Much higher much higher from here. I think it could go lower too not denying that but also think it could go much higher So definitely put them on your radar. Put them on your watch list I just think that there's so much potential here for roblox And it would be silly for all of us to miss out on this move when it's just screaming buy I feel like this is just screaming rich by me by me rich All right, all right Anyone has any questions on any of the social media platforms that we're streaming on please put in the chat I'll do my best to go through Your questions and your picks if you have any I still can't get over the the benance situation. It just blows my mind I just think it's really really crazy That the largest exchange in the world is having these problems and that the ceo just essentially admitted to all of his wrong Doings Yeah, you're right. I'm going to pay you 4.3 billion and I made a mistake Doesn't even deny it admitted to all of his wrong doings blows my mind Absolutely blows my mind and it just makes you wonder how much more of this is happening in the crypto world And it's one of the reasons why crypto has really been held back is all of the scams hacking We've had ftx scandal now we're having a benance scandal benance is the largest exchange in the world. I mean when that happens That's not a good thing at all So it's a very crazy scenario of you know, what's happening. I really don't know what to think about it I'm just happy. I don't have anything happenance to be honest with you um I'm just everything is on my ledger and I think that's where people should keep their crypto I really think people should keep their crypto on a ledger It's the safest place to put your money and If you don't have your crypto on a ledger try to put it in an exchange that is going to be Safe that's very hard to determine where that is right now. Nobody really knows what is safe so It makes it difficult, but I just think that uh, you know, it's the safest place to put your your crypto right now because these exchanges are very risky Speaking of that look at bitcoin. We just hit 37 000 again so benance goes pretty much In the hole yesterday because their founder has to step down and could be going to jail for 18 months And has to pay a 4.3 billion dollar fine bitcoin drops ethereum drops all the cryptos drop and feared and the very next day bitcoin's up 3 percent ethereum's up 6 percent and everything's back to normal and look bitcoin is running We're at 37 10000 right now for bitcoin bitcoin is running right now This is a good thing. This is a very good thing. If we look at the one-year chart I mean you can clearly see bitcoin is on an upward trajectory and has been all year started the year at 16 000 We're now at 37 000 I mean could you ask for anything more as an investor? I think it'd be hard to find or ask for anything more All right. All right. Let me just Check this out here This is stocks and stacks episode number 27 now Wow, we're already at episode number 27. That's crazy Let's just show that stocks and stacks episode number 27 Stocks and stacks episode number 27 All right Time flies when you're having fun making money All right, and we are live streaming everywhere. Just want to make that little change all right So clearly you can see bitcoin is doing extremely well. We're sitting at 37 126 right now And if we look at the last five days, we can clearly see What happened? It was climbing up and then yesterday. This was the benance news. This is the benance news yesterday Look at what it did It did this move down, right? And now it's climbed all the way back to where it was When the benance news hit look it's come all the way back almost Exactly where it was before it dropped What does that tell you? It tells you that the benance news isn't affecting bitcoin bitcoin's too big to fail And even though benance, which is the largest crypto exchange in the world Has failed And it's still alive. They're not going bankrupt But they've had some serious issues that they have to deal with with the securities and exchange commission And the ceo has admitted to anti-money laundering Not good And yesterday 1.3 billion dollars was pulled out of the benance Exchange so where did that money go? I think that money went on to ledgers Trasers hard wallets. I think some of that money also went into other exchanges Clearly and what we're seeing today is that money got moved into other exchanges And then people went and started buying bitcoin and ethereum all the cryptos up again And that's why they're going back up Makes sense, right? I mean that's what's going on here. Clearly. It's obvious. You can see it All right, let's take a look at what's going on in other stocks.   I bought amazon this year I sold it and now it's taken off So congratulations if you've traded amazon another one of those companies That's part of the magnificent seven too big to fail Every single dip in my opinion for amazon is a buying opportunity I'm going to say it a lot for good quality companies get used to hearing it for me But quality companies in this market environment is where you want to put your money coinbase Coinbase is probably going to benefit the most from benance having troubles because coinbase was the second largest crypto exchange in the world behind benance But the difference between coinbase and benance is that coinbase is regulated coinbase is public It's on the nasdaq It's regulated by the securities and exchange commission benance is not So I think coinbase becomes automatically the next biggest winner Due to the fact that benance is having problems because everyone is going to want to put their crypto in coinbase Including me I'm not gonna lie. I'm going to put my crypto in coinbase too Just because I trust it more and if all the big Bitcoin spot ETFs are going to use coinbase for custody and they're going to have billions of potentially trillions of dollars of money going into bitcoin and ethereum Through coinbase then I trust coinbase because if they're going to put billions and trillions of coinbase and it's regulated And it's public Then I'm going to start putting some of my crypto in coinbase too because I'm going to feel comfortable That they're not going to go bankrupt and they're not going to have any problems moving forward hopefully with the securities and exchange commission even though they are also having problems With the securities and exchange commission because everyone is having problems with the securities and exchange commission in the crypto space lately But you can see your coinbase on an upward trajectory has been all year Going up with the price of bitcoin Actually, let me just clean this up And let's make a new one. All right, so you can see this is the one year trajectory on coinbase Uh, no, it's got to be it was lower than that. I believe let's go to one year Yeah, there's the one year. So coinbase has been as low as $32 it's now at 108. So you would be up over 200 on your money if you bought coinbase at the beginning of the year Coinbase was a screaming buy and congratulations to anyone who got in on this trade clearly a great trade All right, okay, so let's see what's next on my list here Microsoft this is one that I missed I wish I didn't it's done extremely well It's been the gift that keeps on giving all year microsoft now trading at a 52 week high And I feel like I'm I'm a broken record because every single day It seems like I'm talking about microsoft and it's at a 52 week high, right? So we're in a hot market Especially for the magnificent 7 and if you just put all your money in the magnificent 7 you made a killing this year If you put all your money in the magnificent 7 and bitcoin in ethereum and uber and draft kings You've had a magnificent year, but that's only about 11 investments Which is still a lot So I think this is the time where as an investor you need to be extremely strategic You need to really analyze what you're investing in and put your money in the giants Put your money in the giants. They're the ones that have been winning this year Now is that going to be the mo next year? Nobody knows last year it was oil And everything else went down This year, it's the magnificent 7 bitcoin ethereum a couple of the cryptos uber draft kings and that's about it Everything else is pretty much gone down, especially small caps And last year everything went down except for oil So we don't know what next year is going to bring us yet But I do believe That it will be a good year in the markets next year because we have lots to look forward to We've got the bitcoin having coming. We got bitcoin spot ETFs coming So that's going to drive a lot of technology in the markets because Those are massive catalysts that's going to drive bitcoin and technology We also have the fact that the fed is starting to admit that inflation is starting to get under control And maybe the fed is going to start reducing rates And if the fed starts reducing rates that is going to be extremely bullish for the markets So I think there's a lot of really good things coming And yes, there's wars happening and yes, the wars could escalate and that could be A curve ball to the market. You have to admit that I'm admitting that I recognize that But I feel like that's all kind of already been built into the markets now I mean things could change things can escalate But if we can if we stay status quo with these wars in the Middle East and in the Ukraine Probably going to be much of the same Just saying that's my opinion. I might be wrong, but that's kind of what I'm thinking And as we speak Microsoft just continues higher now at another 52 week high at 379 dollars Now speaking of 52 week highs look at meta meta is also at a 52 week high Killing it Microsoft is at an all-time high meta is at a 52 week high at 341 And if we go to all-time highs, we can see that meta is also approaching an all-time high So at some point probably want to sell meta just because it's getting close to an all-time high And it seems like a lot of these stocks are high And I don't want to buy them when they're high. I want to buy them when they're low Last year was the time to buy them all That was when meta was dirt cheap but Last year's over And this year is almost over So the question is what's going to happen next year And I'm going to be looking for a lot of these at some point to drop so I can get in for the win Now speaking of winning Traff Kings has been winning all year Traff Kings has been an upward trajectory as you can see. I've got it marked And after a big drop last year Traff Kings has been an absolute dream this year and you can see it's trading at around 52 week high and it's gone from What $10 to $38 this year? That is an epic move that is 20 30 that is a 250 percent move up this year Unbelievable move. Let's see right here Let's mark it 261 percent up this year is Traff Kings Not bad not bad at all Not bad at all All right So I mean I would love to get me some Traff Kings, but I just think it's too high now I really don't think now is the time to buy it when it's so high I want to wait for it to drop And then that would be a good time to buy Speaking of stocks that have been on upward upward trajectory uber Another one that I've talked to you about a lot another one that I made videos on Another one that I've put in my top 10 in the past. They've had a monster year Uber has gone from a low of $24 to a high now a 52 week high now today of $55 Uber is up over a hundred percent on the year I love their uber eats program. I love the ride sharing program 125 up on the year is uber great company tech company Innovative company also getting into ai. I think it's a great company that everyone should be aware of It's a great stock clearly doing extremely well this year uber Put them on your radar put them on your watch is more of a momentum trade But another one of those stocks that's really high So it's very difficult for me to want to buy now I would have much rather bought last year when it was at 24 bucks I did own them last year in the $30 range. I didn't have the patience So I think it went up to 40. I sold it and now if I had held, you know a year and a half later I'd be sitting on 55. But hey, it is what it is Speaking of stocks that I've sold and made money on google Another one that I bought last year on the dip sold it this year on the rip and it's gone even higher Too big to fail part of the magnificent seven google is a monster. They own youtube They own search whenever you search you're typically using google They're the biggest player in search engine optimization on the planet And I pay google ads for advertising for my clients and for my brand And a lot of people do too. So I think that They are the biggest player in the world when it comes to search engine and that will continue And they also have some great assets.  Let's take a look 63 percent Not bad Buying one of the biggest companies in the world and it goes up 63 percent in the year Can't really go wrong there netflix Speaking of quality companies that are on fire netflix everybody knows netflix everybody uses netflix Everybody pays for netflix. That's why netflix is too big to fail too They're you know, they're part of that, you know fang stocks, right? so netflix 478 dollars 52 week high Too big to fail and really a quality company But for me a little bit too high. I'm not really interested buying it at this level. It's just too high. It's gone up too much and I'd rather wait for them to drop To position myself in the stock. So when these stocks drop That's the time to get in right now. I think we've already missed it I think we missed our move to be honest with you and I think it's a little bit too late now On netflix not to say it can't go higher. I think it probably will go higher I just think that uh, I don't want to buy it at just under 500 bucks Doesn't motivate me to buy it for just under 500 bucks to be honest with you I think we could do better than that and um, that's what I would wait for as an investor I would wait for the dip, you know, wait for panic Wait for selling wait for fear to come into the markets To buy these stocks because I just don't think it makes sense to buy them when they're trading all at 52 week highs Obviously people are buying them. That's why they're going higher. But that's not my strategy Strategy is not to be buying stocks at all time highs If anything, I'd rather buy stocks at 52 week lows that are great companies that are going to bounce back Which was our opportunity last year speaking of great companies apple Another one that I told everyone last year was one of my top stocks I bought it last year on the dip sold them on the rip and they've gone higher Love the company. Just don't love it at this price. If it dips Maybe I'll buy some but at these prices. I don't have much interest Disney now this is one I'm interested in because it is low And I think it could go much much higher now. You could see all time high It's been as high as $198. So it went to $198 in 2021 So only two years ago. It was at $198. Now it's at 95. What happened? Well Last year the market dropped and and and you know some companies like apple have You know recovered, but disney never recovered. I think that's a buying opportunity. I think this is a buy I think this is going to go back to 200 at some point when I don't know but My opinion this is a buy. I think under a hundred bucks This is a buy and I think there's a very good chance that it goes back to 200 maybe next year Maybe the year after but it's going to go back I really believe it's going to go back. I just don't know when but this is another one of those quality companies in streaming in entertainment I just think that there are another one of those too big to fail companies They're going to figure it out. They're going to get it right and when they do it's going to skyrocket And we're going to look back at these prices and say, hmm Rich was right. We should have bought it Just the chart is telling me a story that this is going to go higher Because I mean like the last time I went below these levels was in 2014 I don't think it's going to go below that now. It did hit 79 You know, so if we can get back to that 80 or lower mark, that would be a screaming buy for me But even at these prices at 95, I still think it's a buy and I think there's a lot of upside from here CDIO is another one of those stocks that had a really really big day yesterday and Really kind of over the last week or so And look today, it's in the red Trying to prove a point Target it's another one that I really like And you can see it kind of looks like Disney in the sense that It went up really really high in 2021 dropped last year and hasn't recovered I think there's an opportunity here. So just like Disney has a chance to go back up I think target is too big to fail and they will also go back up So Disney and target are two that I'm targeting for next year And roblox Disney target and roblox are three that I'm targeting for next year very very closely Disney target and roblox those three in fact, I'm going to write them down before I forget sometimes Sometimes you can forget But I want to make it clear right now Disney target and roblox I like all three of these for next year I think all three of them are looking like they're setting themselves up to have a big year kind of like A lot of the stocks that I bought last year that had big years this year I think this is the next wave that will have big years next year roblox Disney and target three companies that are all doing well had strong quarters But haven't really shown In the charts and haven't really gone up yet That's an opportunity as an investor in my opinion. That's an opportunity and that's what I'm looking for All right, let's see Gold I'll talk to you about gold lately It's been struggling to get to that 2000 mark and then every time it gets over 2000 It seems to sell off. So we're right around that 2000 mark. So we're going to be watching very closely SGML This is one of my top if not my top lithium play I brought this to my community at $10 a few years ago brought it in my top 10 It went from 10 bucks to 40 bucks. Let's come back down a little bit. It's back to 28 Really like them. I think that for lithium play. This is one that I like a lot I think everyone should have on the radar and on their watch list. In fact, I'm going to write it down to SGML Really like them for lithium and I think that there's a good chance that they'll have a big year next year And they could potentially go back to that $40 range So if we're at 28 bucks and it goes back to 42, that's a 50 percent move right 28 50 percent of 28 is 14 28 plus 14 is 42. It's a 50 percent move for for SGML Sigma lithium corporation to go from 28 to 42 and it's been to 42 before I think there's a very good chance it goes there again Because there's a shortage of lithium and we need lithium for electric vehicles and for other things as well But especially for electric vehicles. We need lithium and that's why these Lithium miners are going to be in high demand and that's why I need to put I believe you need to put SGML on your radar and on your watch list. I think their upside is absolutely tremendous COMT one of my personal holdings a 30 percent dividend And they are heavily invested in oil and gas precious metals And they've been up and down this year, but the thing I really like about this It's a safe place to put your money If you feel like there's going to be volatility in the market and you want to get a 30 Dividend on your money, which means if you invested $10,000 last December you can expect $3,000 this December It's a one-year payout. So it's more of a long-term investment But 30 is too good to pass up. So I've invested in them and I'm looking forward to my dividend payment Which is coming in about a month Skin is one that I've been watching closely You can see it's dropped like a rock from $28 to A dollar and now it's at two bucks watching them closely Could be one that goes back up to 10 bucks and if it does it's a multiple and I like that So just watching them closely put them on your radar and put them on your watch list VPF another one that I'm watching closely put them on your radar Put them on your watch list oil sitting at $76 today kind of Very choppy year for oil up and down and all around It doesn't really know what he wants to do Alada has to do with the lorse Navidia Just had a monster quarter 20 billion in revenue. That's just crazy for navidia. So I'm very bullish on navidia But it's high right and it's trading very close to an all-time and a 52 week high So you have to assume that when he gets that $500 mark It's probably going to sell off because it's up a lot people are taking profits, which is totally Reasonable respectable and makes sense So nothing wrong with taking profits when you got an asset up as much as navidia is And if we look at the one year, you can clearly see like this thing has been an absolute juggernaut The number one chip stock in the world and also the number one ai stock in the world. That's a double number one double barrel shotgun right there 245 up in one year is navidia I mean, this has been the biggest mover of the magnificent seven has been navidia and meta And it's just been an absolute killer. But do I want to buy something up 245 percent? No, I'm not buying something up 245 percent Do I like them? Absolutely was not the like throw up 245 percent, but I'm not buying it up 245 percent So I'm going to wait for a dip and then once it dips. I'll remember what it's done and I'll definitely position myself All right, last but not least tesla Man, I love these stocks I love tesla A lot All right So I'm a big fan of tesla obviously my big fan of elan musk and tesla's been a huge winner as well this year I did buy tesla when it was at about 100 bucks Sold it and then it went even higher. I sold too soon, but it's okay. I still made money on it It's up 123 on the year last year I knew when it dipped to 100 it was too good and I bought it. I didn't have the patience I should have waited I would have done much better and I would have made a lot more money, but it's okay I still made money. I'm still still thankful. Thank you god for my daily bread and I believe that this is a company that has a chance to go to thousand dollars a share Maybe even two thousand dollars a share. I really believe that I still think tesla can 10x from here So keep your eye on it. I think the upside is tremendous And I am a big fan of tesla and every time I've invested in tesla I've won never lost a trade on tesla never lost a trade on apple Never lost a trade on google never lost a trade on amazon. Why I just wait for them to dip I'm patient with them when they dip I buy them and then when they rip I sell them Simple buy the dips sell the rips easy money, baby All right Those are my picks for the day Hope you're having a great day. We've been live for 45 minutes And let's just quickly take a look at everything that we've talked about so agil Currently up 106 of the day having a big day put them on your radar. Put them on your watch list mrai Also up 73 of the day put them on your radar. Put them on your watch list They've been very very hot for the last month as you can see trending up A very nice trend in the last month for mrai very very bullish trend rally r e l i currently up 43 of the day mny Up 27 of the day cvt up 29 of the day and ethereum Up 6 on the day Doing a full recovery from the drop that it had After the huge news bad news on benance And their ceo stepping down and getting fined 4.3 billion dollars and bitcoin after dropping yesterday on that news Rebounding today nicely back to 37,143 Up 3.89 percent on the day All right, thank you guys for watching wishing you all a great day Love to have you join our website and our ecosystem Absolutely free built by investors foreign investors at rich tv.io If you're not winning you're probably not watching bring in the winners ceo interviews breaking news trending topics engaging shows Every day every week every month and every year and we are watching the markets 24 hours a day 7 days a week We are deeply rooted in the world of finance very heavily involved in cryptos stocks and more And we love watching the news And bringing you the biggest breaking news in the world of finance in the world of sports And in the world of news and trending topics So love to have you join us if you like these videos Please smash the like button comment down below Share the video everywhere and subscribe if you're alive I'm your host of the most your boy rich from rich tv live And the rich tv live podcast saying have a nice day. Happy Thanksgiving if you're in america And everywhere else in the world. I want to wish everyone A fantastic holidays christmas is around the corner get your trees up get your lights up Let's have a fantastic christmas holidays. Let's have a great holidays and let's finish off the year with a bang It's been a great year for stocks, especially the magnificent stocks. It's been a great year for Bitcoin and cryptos yet again as predicted and I believe we're going into a much bigger year next year So stay tuned get your popcorn ready. We'll be here every single step of the way to show you what's going on Right here at the rich tv live podcast. All you got to do is join and win. Have a nice day. We'll see you soon


Terima kasih, Justin. Ini panel Artificial Intelligence. Kita semua adalah bahasa natural di sini. Jadi saya tak tahu di mana panel Artificial Intelligence. Adakah anda dah jumpa? Saya tak tahu di mana mereka ada. Baiklah. Jadi, apa yang saya suka buat... adalah untuk menghubungi ini ke dalam hubungan. Bukan kita kata-kata banyak-banyak. Ia akan bercakap dengan anda. Dan saya suka mendengar dari anda juga. Jadi anda mendengar cukup idea dan cadangan dan masalah. Dan projek dan sebagainya. Jadi, pada awal saya... menunjukkan beberapa perkara. Satu perkara yang kita ada... adalah cuba faham apa yang bermakna... untuk memperkenalkan. Ada sebuah definisi atau apa yang bermakna. Berapa banyak... ada kita... atau ada kita nampak Google Brain? Itu pilihan anda. Berapa banyak... yang anda fikir ada di Google Brain? Jadi, apa yang saya suka buat... adalah untuk menghubungi itu dan cuba melihat... beberapa jawapan... dari perspektif apa yang ialah intelligence? Apa yang anda fikir? Dan bagaimana ia berkaitan dengan apa yang kita nampak? Dan kita ambil hubungan daripada itu. Bagaimana lagi? Ada sebuah mic yang lain di sini? Jadi, apabila anda bersedia, anda akan berjalan-jalan. Bagaimana anda akan berjalan-jalan dengan Oprah Winfrey... dan bertanya untuk jawapan dan pertanyaan? Jadi, saya akan mulakan dengan Andrew di sini. Jadi, saya rasa... teknologi telah berjalan-jalan... dan terus berjalan-jalan. Dan perkara yang penting yang kita dapat... adalah kita dapat... lebih baik pengalaman untuk hidup kita. Tapi jika anda melihat bagaimana ini berlaku... dalam perjalanan, anda melihat peralatan. Dan peralatan ini adalah... lebih-lebih-lebih mempunyai. Dan banyak peralatan yang kita selalu menggunakan... dan kita terus menggunakan... sangat magical sebelumnya. Apabila saya belajar komputer sains, sebelum saya mengambil peralatan... saya fikir peralatan itu... mempunyai aplikasi yang sangat hebat. Bagaimana kita mengambil peralatan ini... dan memasukkan... kode asam. Jadi, saya tidak perlu mempunyai... peralatan atau apa-apa yang saya menggunakan. Jadi, saya rasa... dalam peralatan itu... peralatan yang sangat hebat... tetapi dalam peralatan itu... mereka mengawal. Saya rasa lebih anda melihat dan lebih anda bekerja... dalam peralatan ini... lebih magical ia menjadi dan lebih... ia mempunyai... peralatan yang lebih hebat... dan lebih mempunyai. Terima kasih kerana mempunyai kita. Saya mahu mengambil peralatan... quite some interesting talks today. To take a little overview... what we're seeing is that Google is... really active and doing a great job... in doing AI also open source. We see that Microsoft is moving... into that direction. And we are working with a lot of... corporate customers worldwide. And we see that all these companies are also... starting to technologize their value chain... and base them more and more on data. And now become more and more active... and seeing that they will not be capable... in doing that by themselves. So they move towards open source environments... also in the eye space. And so the tech companies are already way ahead of course. And now the old industry is trying to... to pick up or do something about that. And that is also because of... the algorithms and all that... what the tech companies are providing... making it so easy for them to use. So I was wondering if you perceive that... as an opportunity that is coming up... if you perceive that as a threat... or as a large opportunity... for the open source movement also in the AI... that all these corporate money... is moving into the space. And I think that will be very strongly happening... in the next years. I think that's interesting. The question of corporate money... going into AI stuff... Is that a good thing or a bad thing? Bunny. Corporate money getting into AI. Do you think that's a good thing or a bad thing? I don't think... I think that... there's plenty of... I mean it's a more general question. Who should be funding research... or whatever, these sorts of things. I think that it's perfectly fine... for corporate money to be getting into AI... or whatever they want to get into or government money. It's more about... the applications and motivations... that are behind... those particular... why are they funding it... and what they're trying to do with it... at the end of the day. So from that perspective... would there be... Michael, your Suzy tool... do you think there are aspects... about the tool that you have... that could exhibit... the notion of... like the question I asked... intelligence? So again, it goes back to... what would the definition be? Would it be... what... if I see something... do I know it is intelligent? I don't know there's a Turing test. But is that sufficient? It's like someone was asking... can you define what is porn? It's like when you see it, you know. But how do you define it? Artificial intelligence... comes in different flavours... and it's difficult to find the right definition. A good definition is maybe... one that's very simple. For example, artificial intelligence is... if a machine can do something... that a human can do.  In the past, for example... artificial intelligence was considered... in the field of gameplay... like being a very good chess player... was considered in the 80s, I think. People said machines... they have that much inspiration... like a very good chess player... and it will take a long time... until they keep up and play a very good chess. But now this game is over. Chess playing is an easy thing. This is kind of a solved problem. But now people say, oh this was never a problem before... because it's just an easy program... you have to write and then you are... as intelligent as a human in this field. So human intelligence comes at places... where you don't expect that you need... so much intelligence like... if it's about driving a car. This was for a long time an unsolved problem... and now in the next years... we will see that self-driving cars... come there and they get a license... if the number of accidents... is one tenth of what a human would do. So artificial intelligence... comes in different places... where it's not only about... doing a conversation like... chatting with each other... and expressing emotions and so on... but you would expect... if you think about a touring test. So we have a lot of... commercial applications like... for example do financial consultancy. In the past it's considered that... you need an expert to tell you... where you should invest your money. And today you can just put in some numbers... on the web page and if you go to a bank... they do nothing else. They don't do actual consultancy... they just read what's on their page. So you would say this is artificial intelligence... but still it takes a job... of a human before. So I think the number of places... where technology replaces what humans did... will increase... very fast, I think. And you wouldn't say... this is artificial intelligence... but in the sum of it... I think we see that... there is machine intelligence coming... and replacing humans... but mostly for good reason... because they are more safe... or a couple more information. Yeah, I think you can debate this... for a long time... but one of the most important things... about machine learning is it's been useful... and we judge things... whether they're useful or not. So you look at the chess example... is it useful for computers to be really good at chess? Well, only so far as you can use it... as a trainer to become good at chess... to enhance your enjoyment. I mean, in Google we have... Gmail and it has a smart reply. And so you can say... and I can say... hmm, here are some replies... that the machine learning has given me. And if I provide them... and if they're good, I can use them. If not, I don't have to use them... but my life has been shortened... the amount of typing that I have to do... because I don't have to think as hard... about how I'm going to respond to my email. And I think that's what I find exciting... about all the open source... is that people can take technology... and all these free toolkits... and plug them into... whatever their software... and make it better. And I think... we've only hit the tip of the iceberg on that. And I totally agree... and I think you have two important points... and that matches with yours. I think... the AI or machine learning capabilities... pop up all over the place... and sometimes we expect it to pop up... like for the cars sometimes... we don't expect it to pop up in that space... but what is happening... and we see that very strongly... is that all of this will... as good as they are, it will come... it will eliminate a lot of jobs... a lot of white collar jobs... a lot of traditional jobs... and we see in most corporates... and also governments, we see not enough... actually... time and also power invested... in thinking about what is going to happen... to the people that are probably... going to lose their jobs in the next few years. And there's a lot of transformation projects... going on... and I think there's a lot of good in AI... and it's very important that it comes... and it will come and open source will actually speed... or it's speeding that up a lot... but we had it a couple of times today... the norms and values around it... and what do we do with society... is still something that is like... widely not really discussed in depth, I think. So if I were to take that statement slightly further... if you say... to be able to create some stuff, right? So... is creativity... curiosity... a qualifier... for display of intelligence? So, can... potentially... an AI, whatever... create the Novena Project? I mean, I think there's... I don't know... I'm not... I'm one of the kids that don't belong here... but... Presumably, there's a difference between expertise... and... like creation and innovation, right? So what I see... people, a lot of what's coming on now... are essentially experts... AI experts in driving, AI experts in... reading your email, AI experts in... advising on things. So they're replacing select human... positions because of their expertise... that gets rid of a lot of training... and otherwise things that you would need to do. But... what I expect a self-driving car... to be able to come up with... a new sous vide recipe... for my salmon belly, no. It's not something that... I would ever expect to come out of... like an intelligent car, right? And so... at what point do the systems... become... sufficiently... I guess self-aware... to write their own rules and say, hey, like... I can reason about... where cars are. Therefore, I should be able to reason about... logistics and help plan... the routing of packages and UPS.  Actually, the problem you should be solving is... don't send your packages from the depot... to here, just do it directly from there... because the car realized that, right? Somehow, because the intelligence... at this point, you know, systems... can scale up to become intelligent... in that fashion. But I think there's definitely... I think today, what we're talking about... replacing jobs is a lot of expertise... being captured in computers. But I don't know if I would qualify... as intelligence in a human sense. I would agree with that. And going back to designing a board... if you're placing... decoupling capacitors, that's something... that a computer could automate. Or if you're... if you had not a router that actually worked... you wouldn't have to place all the traces by hand. And so... if you had that, would you be... out of a job? I think you would just make more boards. And this is kind of what's happened. Whenever you have an assistive technology... that makes your life easier, you just do... you have more productivity. And musicians had this when the MIDI came out... in the 80s. They could start doing their own arrangements. Playing with instruments themselves... and doing their own orchestrations... and seeing what it was going to be like. And they had things like... auto arpeggiation... and auto rhythms. And these didn't make their creativity any less. Now when we have... at Google there's an open source project... about Magenta, which is kind of exploring... this whole issue. I encourage you to check it out. But what's cool about it is that... you're still directing where it's going to go. I think it's because of something that's Bach-like. And it's that, oh, I know how to play something that's like that... because it's been trained on that. That doesn't mean that it's taking over creativity... necessarily. So I think these kind of assistive technologies... are what we're really seeing right now. And we're going to continue to see a lot more of them. And we're driving them very well. So the issue is... the question of assisting you... rather than... and assisting you... because you have expertise in that space. So I know... I have these four bars of Bach... and I play that... and the system says, oh, I know what this is... and it continues and then innovates on that. Is that a display of... intelligence? Or is it a display of expertise? So in other words, the way I'm seeing it... is the intelligence in... the artificial intelligence perspective... is very localized. So if I... if you say that... the computer beat... the human in chess... can that same computer... after the chess game is over... walk away... or go drink a beer... or do anything like that... which the chess player can do. But the computer is not going to do it. So... is that an element... that we need to look at? Do you have multifaceted levels of intelligence... that you need to... in order to make it... more holistic? I actually... You can respond there first... because that's going to take us off topic. There was the idea around... that if you want to make a machine human like... and to give it intelligence... that it must be... it must learn like a human... and grow up... and be a baby first... and learn language and so on... to have all these capabilities... to be like a human. But I don't think this holds... and I don't think... the comparison... is valid that you say... if you are intelligent... after a chess game... you can do also something else. If the point comes... that a machine is... more intelligent than human... then they will... do the same... and do a comparison... after human capabilities... if they are able to do what they are doing... because they are able to... compute so many numbers... and access so many databases... and it's also not valid. So I don't think this is the right... way to... view... about artificial intelligence... maybe. I was actually just... going back to the original thing... talking about assistive... sort of... until... the AI is becoming assistive. One thing you said that... I wasn't aware of that was really alarming... was when you said that Google Gmail... gives you responses... that you can give. I don't use Gmail... but when you said that I was like... oh my god, that's like... crazy. I use SwiftKey and it has... the little Markov learning thing... and sometimes I do the thing... where I start typing a couple of words... and just hit the complete button... to see what it's learned about me... and what it would say. And sometimes responses are pretty good. I'll just send that. Oh, that's kind of fun. It's not what I intended... but I'll send it just to troll the other person. But so... the interesting part though... is that... the thing that's scary to me... is when you can do. If someone's giving me an assistive technology... that will help me place decoupling capacitors... on a PCB... but I didn't actually understand... why I placed them where I do. They just seem to look right. People will start designing boards... where actually capacitors might not go where they do... and they'll never have to learn... why the capacitors go where they go... because they've had the assistive technology... and eventually that computer... exceeds the... they're in the right spot, right? And so at the end of the day... there needs to be like a human... sort of intervening... and filtering the stuff... that's coming out of assistive technology. And what is a little scary... is that... inbox responses are very suggestive. Like one thing that I... I don't like about SwiftKey... is that I might want to respond one way to a person... because that's what I feel. But then I'll see the suggestion... of what I would have said in another context... and that actually changes... how I feel about that topic. Like SwiftKey is now driving me in a way. I really don't like it... when I feel like I've lost my... sort of... my internal self-compass... to that little suggestive thing... in the keyboard, right? And having an inbox reply... that is suggesting to what a set of responses are... makes you a little lazier... you're talking about how to vote.  And it has like a set of responses... that you could go for. And whoever wrote the algorithm decides... oh, we're just going to bias it one way or the other... and so that you're going to always respond... in favor of one view or another. That response... because you're coming up with in your head... how you should respond to that. That AI is actually just whispering in your ear... ideas almost.  It seems like... that's really scary. Like when you start having suggested responses... and tweets and stuff like that. So... so basically... by reading the email, you're also getting that suggestion. So it's not really unique to the... so if you look at your inbox, you've read these email from people... and they're creating suggestions and you... like this is the idea of persuasion... of an email. So this is happening from spam. But... I mean... I wasn't responsible for creating this technology... but this is one of the things that Google... looks at when they implement it is... how to balance these trade-offs... and how to make sure that... privacy is maintained as well. So the key difference is that... for someone to persuade me... another human must make the effort... as little as it is to forward it to me. Or they have to be a script... that's mail-botting or whatever it is. The difference is that... when there's a single centralized AI... whoever controls the parameters on the AI... can actually... they don't even have to know the people... or the conversation or whatever it is. They just load the parameter set... to sway the responses in a particular way. They're completely non-contextual... influence and biasing... of the conversations... of every single conversation that's on Gmail. So the amount of power that's embedded... into that kind of AI system... and how it's programmed... and how the weights of the network are set... can have systemic effects. And when you're looking at elections... they're decided by 1%, 2% of a population vote. You all of a sudden realize... this may be the most powerful lever... to turn in the world. So the algorithms that we use... are based on... research that we publish... and open-source algorithms that we have. And these are constantly evaluated... and bias in the algorithms is a research topic... and I'm not an expert on it, but it's definitely something that... is aware of. Let me take the opportunity to... open it to the floor. Yes, someone at the back there. The mic, where's the mic? Oh, you have it. Go ahead. Yeah, I have two questions. One is, how is AI going to affect... skilled human jobs? The other one is... what is your opinion on... how real is the risk of... skynet-like event? Alright, skynet. I was waiting to hear skynet. First time I'm hearing it today. So, question. Is AI going to replace jobs? Is that the first one? And the second one is... when is skynet happening? I hope you know what skynet is. I would like to answer with a quote... of the former Chief Technology Officer of IBM... Gunter Dück in Germany. And he said that... all jobs will be taken over by machines... instead of one, information technology jobs. Because of all the abilities... which are there. Even the job of a doctor... and everything else that you can think of... can be replaced by artificial intelligence... big data and moving machines. But only one is left... that of information technology. Yeah, and it's also not about being scared about. I think this major shift, like you say, will happen. And what I was stating before is that... corporate and the government... also think about how to keep up with the speed of a shift. I mean, if we look at cars... if we look at also decision-making processes in companies... they will be highly taken over by... more data-driven systems, I would say. And also by AI systems. And this is nothing to be scared of... because it will happen and it's good it happened... due to the efficiency reasons... and also to more productivity and all that stuff. But I think it will happen much faster... than the examples you mentioned before. It happens much quicker. And I think that's just important... that we also think about... how can we actually support these people... and moving quickly forward into new... productive jobs then. So does it mean that... geeks will finally inherit the world? That's what it sounds to me like, right? I would like it here, yes. So we have job security, guys. So we are okay. So it's... the others who have a problem. Did that kind of answer your question for you? Alright, another question. Is there somebody else? Yeah. Oh, there you are. We were talking about touring tests... and I think that it's not very valid anymore. It should be more like physical tests... that, for example, can we think a very simple example... that I could ask a robot to tie my shoes? How long... simple question, how long it will take that I can... let's say so for a robot... that this is how you tie my shoes... and it would tie them. It seems for us very simple problem... but it's actually very complex... because it's like in three-dimensional movement... you curve the shoelaces... so it seems very complex. Which one is more difficult? Driving a car or tying my shoes for the robot? Tying a shoelace, right? Which one is more difficult? Tying a shoelace or driving a car? Which one is more difficult for a robot? Is that your question? Well, yes. There's a difference between robotics and AI, though. So, there is a... Tying a shoelace doesn't have the ethical decision... of do I run into a group of people... or do I ram into the other car in front of me... which is something that a self-driving AI has to make. So there's a different sort of parameter set there. So, building robots that can... so the one thing that you find... if you look on factory floors and stuff... and talk about robots replacing human factory workers... and one of the hardest problems is that programming a robot... to just pick something up and move it around... requires an engineer that gets paid six figures. So a lot of factories don't replace human jobs... because there's a limiting factor... if people can program the robots to replace the humans... because it's an exact problem. But there's a whole field of people who are building robots... that you can teach. It's a general 3D robot and it has eyes... and you like show it a job... and then it tries to replicate it in a very natural sort of copy... see what you do and reproduce that motion. And a lot of the limitation there is... it's a lot of it's around the mechanics... and a lot of it's around sort of the vision problems and so forth. I think eventually they'll get good enough... that they'll build a robot that can... you can just show out a tie of shoe and they can do it. But there's a lot of sort of just technical dexterity issues... that you can't conflate with the idea of artificial intelligence. I mean the idea of solving a knot problem... I think again is more like expertise. You can build an algorithm that can do that... but the problem is building the mechanics... that can grasp the shoelace... is a separate problem from the intelligence... to learn how to tie a shoe. Ya, but can it like understand what I do... for example if I would show with my hand... that this is how you write, then could it... like is it possible that... when can we build this kind of device... that can see with the camera what I saw... and then it mimics it and learns like... how to do physical interaction. I think there's AI involved in that. They are building those systems... but it's a bit different than the stuff... a lot of the big data sort of AI... that you guys have been talking about. I think one of the things you want to keep... remind ourselves is... I think it was Neil deGrasse Tyson... in one of his shows he mentioned... the difference between us humans... and our next nearest mammalian intelligent being... is 0.5% in our genes. And you know how different chimpanzees are from us. Can chimpanzees for example... have this conversation as we are having today? Maybe a chimpanzee can tie a shoelace, I don't know. Maybe a chimpanzee can. But the chimpanzee does exhibit... what we would call intelligence... to a certain extent. So the difference between us and 5%... 0.5% difference to the next level... could that be what machine intelligence would be? So they are so different from us... that we look like chimpanzees... to machine learning algorithms... as what chimpanzees looks to us... from an intelligence perspective. Think about that. Any comments? I would like to comment on your statement... where you said is the Turing Test valid anymore... as a criteria. And I think you are right. It's pointing to the wrong direction... if you want to see what machine learning can do... and artificial intelligence in general. But it's still an inspiration... because the Turing Test raises philosophical questions. But to detect artificial intelligence... or to show what it can do... it's maybe pointing in the wrong direction. Okay, you got a question here? Yes, so what I understand from the discussion... is that AI and robots... will take over our jobs basically. So my question is rather... what does it mean for the society as such? So what's the impact for all of us? We heard just recently... we heard a couple of people talking... about let's say a basic income... like Elon Musk or Joe Cazer, Siemens CEO... or Bill Gates talking about tags on robots... stuff like that. I think one of the things that you may want to look at... is I mentioned this in my opening remarks... that there is this project... a group of people came together in January in California... Future of Life. So they have a set of 23 principles of AI... that they have crafted. And I think one of the comments... one of the stuff that you're mentioning... is mentioned in that 23 items... which means essentially... the humans are meant to be... default to be higher ranking... than AI algorithms are supposed to be. So we need to try to create... some kind of a mechanism... where we manage the algorithms in the AI space. So you don't want to have two AI systems... trying to compete with each other... to the detriment of all of us. So there are some ideas. So I think this is something... that we need to have an ongoing conversation. We need to figure out what it means to all of us. Is there a line there? Oh, there is a line there. Okay. I hope I gave you an answer. So you want someone to reply? Yeah, he wanted to. Well, I think my comment is that... again, if you want to understand machine learning... and what it really can do... you should experiment with it... and understand it. And there's playgrounds... to understand what neural networks do... and how the algorithms are working. And as open source engineers... you are all capable of doing that. And the more we can make these tools... and machine learning algorithms accessible... to people that don't program... would be a great way to get this understanding... out so that people realize in a concrete way... what things are actually happening right now. Okay, thank you. Okay, thank you. Just have... asked for comments... from the panel... about the use of AI... in the views of literature and science. So the use of AI in literature and science. Yes. Is that the question? Literature. Literature, yeah. Literature and science. No, literature and arts. And arts. Okay. So you're talking about the use of AI... in those two fields? Yes. Any comments, gentlemen? I already pointed out the Project Magenta... which is a Google Project... to help with music composition. There's also many papers on stylization... where you take in different styles... and it allows you to apply them to new images... including kind of a real-time technique... where you can blend different styles. I have kind of an animated gif... in my talk tomorrow. But I think it's really an interesting thing. And my background is in computer graphics. And a lot of that is trying to figure out... how artists should interact with computers. And there's been a huge step in computer animation... towards more technical ways... of doing computer graphics. And I think the same is going to happen... with machine learning and imagery and music. Okay, I ask another question. So why is the possibility that AI... will actually achieve emotion? If we achieve emotion? Yes. What is the possibility of AI achieving emotion? I mean the possibility that AI will have emotions. I don't know. You can ask yourself... why is it useful for humans... to detect something like beauty? Why is it useful to think something is beautiful for humans? What is your use in life? Maybe you are able to perform in some way better. And that's the reason we have this kind of emotion. And there could be an analog way... that machines detect... that they find some beauty in their environment. Because they say, I'm able to function better in this environment... therefore I'm seeking for this kind of beauty. So maybe it can be important... but for a practical purpose. But maybe we humans have the same practical purpose. So it's also a philosophical question. So next person, this mic. Hello. Emotions. I have a question about... Closer to the mic, please. I have a question about the multiple AI implementations... where one company does NLP, the other one does a little peak data. Maybe somebody does something else. There is some... Google is in some stuff, Microsoft, IBM... or any other third-party implementations. They have different characters. And the question just came about the Skynet. There is no parallel in the Skynet concept. There is no parallel second AI. Do you think that those implementations... they somehow get merged into one single AI? Or do you think there will be multiple AIs existing in the world... and maybe coordinating and talking to each other... and then we just take part of this interesting multi-AI society... like multiple gods or single god? So multiple AI coming together to become... And become one single AI? One single AI is called Skynet. Or not only Skynet, but maybe the thing is about computation power. And if the one who has the most computation power... will most probably win this race... and do you think that an alternative without that much power... can somehow run in this race or has a chance... there will be only one winner. That's obvious. Can I? Yes, please. Services in the internet should be decentralized... because it's better for everyone. We have a lot of centralized services now. And I think it's a good idea... to formulate the same for artificial intelligence. Centralized artificial intelligence may be bad for humanity... and decentralized may be better. So the answer is decentralized is good, centralized is no good. Thank you. Alright, okay. This mic. So the topic of the conference is... the open source part of it and the power of individual, right? And throughout the talk, we came to this topic of, hey, there are no publications out there that everybody can access. There were days that, for example, Steve Jobs... and was could sit in their garage and then write code... or hadoop in the Google can become very big. And everybody could do it on their own. But isn't it a little bit, you know, kidding ourselves to think today... that we have this power of actually working on open source level... on AI, artificial intelligence and neural networks... knowing that they actually need super-super... big kind of resources to be able to work on that. And this kind of towards this democratization of AI... that at the moment most of the power is in the hand of Google... because they have super resources behind them... while a guy in a garage actually cannot make something like that happen. So basically if you look at the kind of computation power... you need to do research in AI, it's typically... you can do many papers on a single GPU. So I think in the way that a computation is really... quite commoditized and affordable, you can do a lot on your own. At the same time, there are cloud services... where if you get a community together, you can get significant resources in order to do AI. In addition, a lot of the open source toolkits... are providing pre-trained models... and these types of things like the image model... that Google provides, give you a checkpoint... that you can use immediately for inference... and do a lot of applications. The power is not in computation, it's in the data itself. Who can store all this data that's out there? Ask Watson guys. They will tell you the IPs in the data, not in the tools. Well no, there's power in the algorithms too. Like there's powers in the architecture. What most is done with deep learning right now... is what is the exact architecture... where you connect how many layers should I do? How many skip connections, for example? So these things, you can then take your data... and you can apply it to a pre-trained model... and get a specialized result. So for example, there's a tutorial on our website... which allows you to specialize the ImageNet... so you can detect flowers. And people have done lots of interesting things with that. Including use it as... I think there was a train detector for a Raspberry Pi. I think we can only take one more question. So... Inny minny minny mo. Because you're up. Sorry. Yeah, thank you for... your enlightenment on a lot of things here. So on the topic of deep learning... a few days, a few weeks ago... I posted this question on my website... is that can deep learning... actually count the number of fishes in the ocean? I'm not talking about species. I'm talking about counting. And my answer and my challenge is it can't. So I'd like to hear the panelist view. I have a second question which is rather short. It's about democratizing IP addresses. In what direction does AI do... on democratizing IP addresses? Thank you. Alright. First, second question is... to democratize IP addresses? I have no idea. Maybe we're at the wrong panel for that. We need to ask the AI to answer that. Maybe somebody in the audience. Somebody else in the audience can answer that. Second question. Nobody? Alright, but you have an answer for that? Mike, Mike, Mike, Mike. Can't hear you. Do you mean when you say... I don't know where she went? She's right here. Oh. Democratizing IP addresses. What does that mean? Typically the word democratizing. Because currently is controlled. Unless you say it isn't. Okay. I mean, that's why I ask for clarification. I think... pretty sure what she meant by controlled is... the ICA are the people who decide, you know... A level BC and the D level IP address. I think that's what she meant by... democratizing. While you're thinking about it... let me go to the first question. Can AI count the number of fish in the sea? That's your question, right? First question. Difficult to imagine. For me. I mean, if you actually want to count the fish... you have to have something that you can see the fish first.  I don't even... I think you could build... it wouldn't necessarily even be an AI problem. It's more of just... can I build a sensor network big enough? Or maybe you can build something where you take all the sonar pings... from all the networks of all the subs... and do some deep learning on it and figure out... how many fish based upon the interference pattern or something. But it seems different, right? You could argue that you can only count in a statistical sense... like all counting methods are based on... if I sample this in a certain region... then I'm going to see this many fish... and therefore it extrapolates to some estimate. I really like to challenge this... because there are many reasons that force me... to say that it's not possible... at least in the near future. Because all these things that you just mentioned... that can't be done because fish... do not stay static in a place. They move all the time. And there's fish migration. The pattern can change depend on climate... and all sorts of patterns are in the ocean. So this is a near impossible question. So actually I'm here... to ask these luminaries in the panel... to enlighten me because it's a real question. It's not I posted this today. It's a few weeks ago. It's on my web pages. I think there's an easy answer. Following the definition of artificial intelligence... you can say that... a machine is doing what a human would do... and that means to a reasonable guess. I think also you turn it the other way... can the humans count the number of humans... that we have in the world? The answer is no. Senses are extremely hard. We don't actually know how many people are... in a given country or area, in a given time for the exact problems you point out. People are being made, people are dying, people are moving. It's a hard question. I wouldn't want to count the number of fish... that love the fish on the grill. That's what I like. We're out of time actually. Can I have a few more minutes? I just wanted to make a comment on that. So the lady mentioned that... the complication of counting fish... is because of the fact that the fish move. There's another aspect to it... which is the lifetime of a fish. So you need to be able to count all of the fish in the sea... in the time that the shortest lived fish lives. So it's not just a question of... counting the number of fish in the sea. It's also being able to count fast enough... which is probably a far more complicated... mechanical problem, not exactly an AI problem. There's also a biological question of what is a fish. I'm sure if you get everything in the ocean... and you showed an expert everything in the ocean... species that we don't even know if they're fish or not. I think it's a dangerous question... because artificial intelligence with super power... would try to dry out the sea to count the fish. To dry out the sea to count the fish. As opposed to boiling the ocean. Well, on that fishy note... we've come to an end of what I enjoyed as a panel discussion. I hope gentlemen you had fun time as well. Thank you for the questions from the audience. Andrew, Michael, Stefan and Andrew. Thank you very much for your time... and your comments and your conversation. Thank you everybody for your patience... as well as your interesting questions. And I think with this we are done, right? So thank you very much guys. Let's have a round of applause for our panelist... for artificial intelligence.


Hi, I'm Zor. Welcome to Unizor Education. I would like to present you one very, very simple construction problem. It's related to lines and planes perpendicular to each other. Now, the problem is very simple, and I will present it first in a very, very short version, and then I will try to put some details into this explanation. I would also like to say that the lecture is presented on unizor.com website as part of the advanced mathematics for teenagers. I do suggest you to watch this lecture from this side because it has side notes which basically are identical to whatever I'm going to talk about right now, and it will be very beneficial for you if you will review all these notes before or after the lecture. So, the problem is, let's assume you have a line in space and you have a point outside of this line. What you have to do is to construct a plane which is perpendicular to this line and contains this point M. Now, what I will do first, I'll just very, very quickly present you the solution. You consider the plane which is defined by the line and the point, and in that plane you draw perpendicular from the point to the line. That's a plane geometry thing. Then what you might do is you have some other plane which goes through the same line. Any other plane which is different from the one which we were just talking about. Now, let's assume this is point P. Now, in that plane you construct a perpendicular to line A from the point P. Now, we have two lines, P M and P, let's say N, and through this intersecting line you can draw a plane which will be perpendicular to this line and it will pass through the point M as required. That's it. Very simple. How much time I spent? Like minute, two minutes? No more than that. And now I would like actually to present you something which I believe has certain educational value. How to approach this problem in a rigorous advanced format? Well, first of all, how did I guess that the problem is supposed to be solved this time, this way? Well, because I already did it before, right, obviously. But if you don't know how to solve this problem, if you did not really experience to deal with this problem before, how you can guess the proper way? Well, there is a stage of solving mathematical problems which is usually associated with the name analysis. So, let me just bring this step which is called analysis into this. So, you don't know anything about the problem, you don't know any methodology how to solve it. So, you're trying to analyze the problem in some way because maybe during this analysis it will prompt you to something which is important. So, that's how you should think actually solving this problem. Now, the analysis usually starts from the very end. So, assume that this particular construction has already been successfully accomplished. The plane exists which is perpendicular to our line and passes through this point M. So, let's assume that there is a plane which contains this line at this point M and it's perpendicular to the line A. Let's call it sigma. So, sigma is the plane which we actually have to construct. So, analysis usually starts from assumption. Okay, let's consider this plane is constructed. What's the properties? What's the interesting elements I can actually see in this particular construction which will help me to really construct it from scratch? Well, obviously within that plane, sigma, I know that since line A is perpendicular to all the lines which are crossing the point P, obviously I can think about two lines and by the way I do remember there was a theorem. If the line is intersecting the plane and is perpendicular to at least two lines which are crossing this point of intersection, then the line is perpendicular to entire plane. Well, and obviously if it's perpendicular to entire plane then there are two lines which are perpendicular to at least two lines. Obviously it's perpendicular to any other line which crosses the P. Now, obviously one of these two lines must be the one which connects our point which is supposed to belong to this plane sigma with the base of the perpendicular point P. And probably there is some other line which is also perpendicular to. So, A is perpendicular to Pm and it's perpendicular to Pm because it's perpendicular to entire sigma plane. Now, how can I construct these two lines? Because I understand that if I construct these lines my plane would be completely defined. Well, now I'm actually thinking that if I have a point here and I have this line so I can choose the point here, then in the plane which is connecting point M and line A, let's call it tau, in the plane tau my line M, P and A are perpendicular. And if I will draw the plane through the same line A and point N, let's call it this way, let's call it rho. So, in the plane rho this would be perpendicular. Now, going further in our analysis I can see that M, P I can definitely construct in the plane tau because I know the line, I know the point and I can draw perpendicular. Now, in the plane rho this one I also can construct this perpendicular because although I don't know the point N but I do know the base of the perpendicular. So, I can draw the perpendicular from the line A within this plane rho. So, that actually prompts me to basically the steps which I need to construct my plane sigma.  Number one, draw a plane tau through line A and point M. That's my first step. Second step, within that plane tau I drop a perpendicular from M to line A getting point P. Then I choose any other plane which goes through the A which is not actually the same as tau. Let's call it rho. By the way, how can I do it? Well, if I know the plane tau I can choose any point N which doesn't belong to this plane and basically use N and the line A to draw another plane rho. Now, in that plane, forget about this point N from now on, we have the plane. Now, in that plane I use the point P which I already established by dropping perpendicular from M and draw a perpendicular to line A from this line from the point P. Now, I have two lines intersecting at point P which define plane sigma. So, that's basically all the steps. Incidentally, do you remember how to drop a perpendicular to a line or have a perpendicular to the line from a point located on it? Well, I do suggest you to, if you don't recall it, I do suggest you to go to the corresponding lectures. Well, actually I can do it very quickly here. If you have a line and you have a point, you have some radius which is greater than this distance and you do this circle from this point as a center which means these two are equal, right? Now, from these two points I can use, well, the same circle or another radius and I put here two circles and that's where they cross and this is the line which perpendicular to this one and passing through this. Now, if I have the base instead of this point and I would like to construct a perpendicular. So, if I have this base, how can I get this line? Well, I take again some radius and put the same distance in both sides then from these points, using some bigger radius, I do this, this, this and this and then connect. So, this is how to do it in plane geometry. All right. So, basically this is the construction. So, we have analyzed the problem and then we have established the steps to construct whatever we need to construct. Now, the next is proof that whatever you have constructed is indeed something which was needed. Well, let's just think about it. Which theorems we based upon our construction? Well, the theorem number one, we have the line and we have a point and we draw a plane. Well, there are either axioms or very elementary first theorems which we have already passed through which told us that this is possible. Point and line, point is outside of line, define one and only plane. So, the plane exists and it's unique which is passing through the line and the point. Okay. Next, the perpendicular, we drop the perpendicular. From the plane geometry, we understand that if you have a line on the plane and a point outside of this line on the same plane then you can drop the perpendicular, it exists and it's unique. That's all towards the theorems of the plane geometry. We can do that. Next is we have built a plane which is also passing through this line but is not the same as tau. How can we do it? Very simply, if there is a plane tau, we can choose any point outside of this plane and then use this point and the line to define plane row. Now, within plane row, we have constructed a perpendicular. So, again, from the plane geometry, there are a lot of theorems actually about perpendicular lines and basically we know that from every point on the line, we can construct the perpendicular to that line and it exists and it's unique. No problems about that. Finally, we have Pn and Pm both perpendicular to line A. So, the plane which goes through these, which also exists and is unique. We have already talked about this in our axioms in the first theorems. There is a plane which contains both intersecting lines and it's unique. So, that's how we built sigma. So, it looks like all our steps have certain bases underneath. So, it's not just we built it without any kind of consideration what we are building. We have built it based on certain theorems which we know lead to this particular result. Now, separate consideration should be given to uniqueness of the plane which is perpendicular to the line and passes through point M. Now, do not mix whatever we have just proved. And we actually did mention that on each step we had not only the existence but also the uniqueness of the element which we are building. What if we can choose some other set of steps and then it might actually bring us to a completely different plane which also perpendicular to line A and passes through point M. Is it possible? So, uniqueness is a separate issue which must be considered. So, the question is existence we have proven by actually constructing. The uniqueness is not actually proven yet because we can choose another methodology of constructing which would lead us to another plane. Is it possible? Well, the answer is now and we have to prove that this particular plane is unique. Okay, how do we usually prove the uniqueness? Well, we assume that there is another plane. Let's call it sigma prime. How can I draw it something like this? This is sigma prime. So, sigma prime also perpendicular. So, A is perpendicular to sigma and point M also contains in sigma. A is perpendicular to sigma prime and M is also contains in sigma prime. Now, since both sigma and sigma prime are perpendicular to line A we have two different bases for this perpendicular. So, whenever A intersects sigma it's point P and whenever A intersects sigma prime is P prime. So, this is P and this is P prime. So, P belongs to sigma, P prime belongs to sigma prime. So, let's assume that these two are different points. Now, both P and P prime belong to A. M belongs to both sigma and sigma prime. Which means that if I will connect P and M it's perpendicular to A. Now, M P prime is also perpendicular to A. So, we have from the same point M in space we have two perpendicular to the same line A. Now, it doesn't really matter that this is three-dimensional space because M, P and P prime all belong to the same plane which also contains line A. Right? Because three points by three points we can always consider a plane which contains these three points and since P and P prime belong to this plane the entire line A belongs to this. So, within that plane which contains M, P and P prime within that plane I have two perpendicular from the same point outside of the line A to line A which is impossible in plane geometry as we know. Which means what? Which means P and P prime should be one and the same. So, these two planes maybe they are different but the base of the perpendicular must be the same. Okay, fine. So, can we still have two different planes? So, we have line A, we have two perpendicular planes to line A which are going through the same base P and the same line at the same point M. So, basically if this is one plane this can be another plane. So, they are just turning around M P but still being perpendicular to A. Is this possible? Well, again the answer is no and what I suggest is just to draw another plane which is supposed to cross sigma and sigma prime somewhere. Now, again within this plane if this is the line where this plane intersects sigma and this is the line where it intersects sigma prime within this plane it looks like we have two different perpendicular to the line A at the same point P which is on this line A which is also impossible because again within this plane we have a plane geometry and we have two perpendicular to the same line A which means that again two intersections also should be one and the same. So, these two planes sigma and sigma prime not only have this line in common but also this line also must be in common and basically any line whatever I am it doesn't really matter what kind of a plane this one I choose I will have certain line where and on this line they are supposed to be the same. So, I have two lines right now where sigma and sigma prime are identical they are the same but two lines determine uniquely the plane which means the entire plane sigma and sigma prime should be the same. Well, you see how much time I spent to try to solve this problem construction problem in a way which is supposed to be considered rigorous. So, I was trying to prove the existence of whatever I am going to construct using exact construction steps and I also proved that this construction actually results in a unique result, unique plane which is perpendicular to line A and passes through M which means any other set of steps which I would choose would actually lead to the same final result, the same final plane sigma. So, I think it's very good if you always think about all these rigorous steps like analysis of the problem, like assuming that the problem is solved what can I actually pick from this to help me to construct whatever I want to construct. Then very detailed steps to accomplish whatever you are constructing and finally you have to prove that whatever you have constructed is really what is required and preferably unique because some other person might choose different set of steps and come up with different results. That's usually a no-no in mathematics. If there is a problem to construct something, whatever way you construct must lead exactly to the same result. Alright, so basically that's all I wanted to present to you today. It would be great if whatever, why don't you read the notes to this lecture on Unisor.com and what I suggest you if you understand everything completely close the computer, have a piece of paper and try to write your own analysis, step of constructions and the proof in relatively the same way as I put it on the web because I was trying to put all these in a very detailed fashion. I think if you will be able to do this, it will discipline your mind and it will definitely be extremely beneficial for development of your analytical thinking and logic. And that's what the whole course is about. It's not about how to construct the plane or anything like that. I'm sure you will never need to construct a plane which is perpendicular to a line which is passing through a point. It's not a practical kind of a problem. I mean we have some construction problems but we have a lot of computer programs which help, etc. That's not the purpose of this course and it's not the purpose of this particular problem and any other problem. The purpose is to help you in your development of your analytical thinking because the next time you will see the problem which you don't know how to solve your analysis, your detailed description of the steps and proof that you are right actually would be extremely helpful. That's it for today. Thank you very much and good luck.


We all have to pay for every byte of internet data that we use, except for when there's a free Wi-Fi connection. Therefore, it's very important to make every byte count and to save as much data as possible. In this video, we will show you how to check data usage. For this, you need to install the Check Data Usage app by Sistweek on your Android phone. You can also use the link given in the description below. Open the app, tap on Go. Tap on Allow to give permission to manage phone calls to the app. Tap on Give permission. Tap on Check Data Usage. Now tap on Allow permit usage access. Tap on Allow. This is how the interface of this app looks like. Here, tap on Set data plan and now set daily data validity and limit. And then tap on Set data plan. And to confirm your plan, tap on Yes. And you're done. Tap on Wi-Fi to check Wi-Fi usage. You can also check your daily usage by tapping Plan. Tap on Speed and then tap on Run speed test. It will allow you to check your internet speed. And that's it. Isn't it easy to use? Do use this app to check your data usage and tell your feedback in the comments below. Also, if you like the video, then don't forget to like, share and subscribe to our channel.