Hi, I'm Alec. I'm on the FoundationDB record layer team, which is one of the open-source layers that we develop on top of the FoundationDB key value store. And I'm here to talk about one of the features that we developed when we ran into a scalability problem when trying to take some of our record stores, which is a unit of data within the record layer, and add more and more requests. And this is somewhat similar. It's in the same space as what Nilu and Shen just talked about, and that it's about when you have too many requests going to the same small number of keys. And it's also, Adam mentioned it in his talk about CouchDB, and so I'll go into a little bit more detail about how that works. So this is unlike Nilu and Shen's work, which is a little bit more general. This is for a very specific use case. And that is one that we think a lot of layers will run into, which is when you have a small amount of metadata that you need to keep transactionally consistent with another piece of data. So, for example, the record layer uses this for the store header, which it associates with every store, and that contains information that can then be used to determine what indexes are defined, for example. And it's important that this be transactionally consistent because if a new index is added and some instances don't know about it, then those lagging instances might get more records to save and forget to index them, and that can lead to consistency problems at the application level. But because you're accessing with every operation, every transaction, that means that the read rate to whatever storage servers are serving that key can be really high. And so that becomes a scalability bottleneck. You can't scale a record store now beyond what the ability of those, like, small number of clusters can do. And so the solution we came up with is a transactional cache and validation key. And so this involved a new FoundationDB Key Value Store feature, the metadata version key, which was added in FDB61. And this key, 255 slash metadata version, has some special properties. The first is that the semantics for setting the key are very restricted. The users only allowed to set it using the version stamp value atomic mutation, which Scott mentioned in his talk earlier today, and I mentioned my talk last year. And some special properties of this key include the fact that every time you update the key, you're guaranteed to get a new value. And so that means that if you transactionally update this key in some other part of your cluster, then you can use changes in this key to detect that there have been changes in the other part of the cluster, although it doesn't tell you what those changes were. The other thing that is special about this key is it's kept in a few special places. Most keys are only stored on storage servers, but this is also stored on a different process called the proxies. And the third property of this key is that it is limited in size to 12 bytes. And that's going to be important later. And so then we used this in the record layer to keep a cache of this metadata and then transactionally, or invalidate it whenever it was updated, whenever the underlying metadata was updated. I'll go into how that works. So here you have a diagram of an FTB cluster and an FTB client. Within the FTB cluster you have some proxies and you have some storage servers and a few other things, but these are the important things for this talk. And within the storage servers we have some metadata, in this case indicating that there are three indexes. Then on the left you have a client and the client currently has a cache and with each cache entry it remembers the metadata version, which the metadata was last updated. And so when the client begins a transaction, it always begins with a get read version request to the proxies. This isn't new, this is something that's been in FTB since the beginning. The new thing is that now when the proxy returns the read version to the client, it also returns this metadata version key. And so because it's being returned with every read version, this is why it's important that it's small in size so that the overhead for returning it is relatively low. In this case, the client can read the key. When it reads the key through the standard get API, instead of going to the storage servers like most reads, it just uses the value it got in the read version response. In this case it can see that the metadata version and the version and the cache are the same. And so it knows it has the right metadata. And so it can continue on without having to consult with the underlying storage what its metadata was. So you've saved a read and you've also decreased the scale of the limits on these storage servers. So then the process of updating the metadata gets somewhat more complicated, not too much more complicated. Now whenever you want to change the metadata, you just also need to include in the same transaction that the metadata version key needs to also be updated. That goes to the proxies just like all commits, the proxies forward that along to the storage servers, and then atomically the metadata version and the metadata can be updated. Now if you have a client that's lagging behind that hasn't gotten the update yet, now when it begins a transaction, it doesn't get read version just as before. It gets back the read version and the metadata version. This time you can see that the metadata version and the version and the cache don't match. It then uses that information to know it needs to go to the underlying storage servers, get the new value of the metadata, and it can update its cache, update its view of the world and continue on. So now this client will know to update all four of the indexes for any records it saves. So there are a few additional considerations. One are some of the complexities of dealing with multiple tenants, and Adam mentioned this in his talk, and then we also had to hit the same problem because the record layer also allows for many, many record stores to live on the same cluster. And so there's some amount of toe stepping is kind of unavoidable because there's only one of these keys in the whole cluster, but we can also play some games of conflict ranges to make sure that the only thing that happens is a few extra cache invalidations. And then there are also some edge cases related to when exactly need to update this key during the life cycle of this cached metadata. And so that all went into our implementation in the record layer. So this is available now, so I encourage you to check out the metadata version key added in FTB 6.1, and you can see the pull request that added it there, and also you can check out the very pithily named metadata version stamp store state cache, which is the thing that adds the capability of the record layer in 2880. Thanks.


You get deep enough into it, you do see that it's just a conversion of mine, and so it doesn't take years for that, it takes one instant. And also it's got to the point with me that when I travel now, it used to be years ago that I did all Course in Miracles, even though I did it in many different settings, bookstores and basements and beaches and backyards and whatever, conferences. But now actually people that are involved with Power of Now are totally a conversation with God even enlightened by the data Vedanta, it just seems like the invitations come, they're interested in enlightenment, they're interested in self-realization, they're interested in awakening. And it's great, more and more there's a real mix that shows up at the gatherings instead of just one particular path. Not familiar enough with those and with the metaphysics and so forth, that's what makes it fun. It can be a free ranging open discussion where I say raise anything you want, raise any issue, raise anything you want and we'll look at it together. And it takes it away from Course in Miracles per se, because I don't know, that's what Sherry was just saying, she said, I'm so refreshing to see you sitting there teaching and I haven't had that book along with me. For years I carried it around, just read it, read it, carried around. You know, I will join with you in conversation about your belief system and your concepts and your attachments. And that's really helpful, most people, I think everyone I meet is pretty well aware already, they know what their attachments are. They don't really fully understand the extent of why they still seem to be so attached and addicted to whatever they're holding on to. But they do, they can start to identify things. For some it's a geographical location that they just cannot leave, they're so attached. For some it's family or children, for some it's jobs. They feel like they have the ideal job and they're earning good money and they're not going to give that job up, even though it's not security at all, that's pseudo security. And just like everything else in this world, it can be wiped away like the Enron thing. If we had pensions that they really thought were secure, that they were banking on, gone in an instant. And that's the way it goes with everything in this world. So when you start to really see that Janice Joplin said, freedom is just another word for nothing left to lose. Was that gorgeous? Yeah, when you get to that point, it's like... That was Janice Joplin? Yeah, I think that was the song. Yeah, it was the song she sang. We're down, we're out, we can't go any lower. And that's really not the state of mind. The state of mind of enlightenment is not you can't go any lower. I have everything. It's like there's no higher or lower to go, it's just you have everything right. That's why there's nothing left to lose, not that you've kind of reached such a dark bottom. I feel like I'm always on vacation or always working, however people want to look at it. I'm always in the moment, so I don't see a difference between work and leisure. Because my mind is tuned into God's function, and that is my work and my leisure. And so it's all the duality melds together. But for someone who still believes in this world, still has a job, still works quite a few hours or quite a few days and weeks of the year, a vacation is a very helpful thing. Because they still believe in the dichotomy between my time and their time. Work and leisure, you know, there's still a dichotomy. Where are you folks at home? This is how we start off with our vlogs. We have to catch in all the numbers. Yes. Is there a body around there too? Oh my goodness. Hi there. We're live from Pizza Hut and we're posting this around the world. Yes. The audio. I love you. Jerry's next to me saying, I love you. He's into the camera. We're at Pizza Hut. We've been just having a great time. And Claire is recording the first video blog. This is a video blog. I'm sure it'll appear later on, maybe in a DVD or somewhere. There we'll work it in somewhere. But this is, we're having such a good time. And anyway, I'm going to pass the phone around now. We have Sherry with us. And she's been just shining her light. We've been in the car and she was shining her light yesterday together. You know, she's shining it with us as we drive through world Wisconsin. And anyway, here's Sherry. Hi everybody. This is Sherry. I love you. We're having so much fun. Just being here, being ourselves, letting it loose. Really, right? Oh boy, are we ever lucky. And Claire's over there with the camera in my face. This is my first blog ever. I've never heard of a blog before. But this is really something. I'm glad you're tuning in and take care.


What's going on everybody is Stas here welcome back to another video so in today's video We're going to be talking about breaking down the top couple of stocks and ETFs that I'm personally watching and looking to trade here Heading into this week of August in 2019 We're also going to be breaking down the overall markets very quickly Taking a look at the S&P 500 the Nasdaq and the Dow Jones to see What has the market been up to over these past couple of days because for those of you all that have been following the channel? You know that I have been posting many market update and trading update videos due to me being in Greece guys I've been in Greece so the content has been a bit irregular I haven't been able to post daily throughout the week So there are some things that I want to talk to you guys about some technical points here on these charts that I want to share with you guys and news through my personal perspective that I just simply want to talk about so We'll get into that first then we'll talk about the list of stocks and ETFs that I do have here on my piece of paper So with that further ado guys if you enjoyed this video feel free to go down below hit that like button Consider subscribing if you want to see further content for me and let's get right into it guys So the S&P 500 closed on Friday at 2932.05 it was down $21.51 down 0.73% and I'm sure a lot of you guys know but there is a minority out there that probably don't know Donald Trump slapped 10% tariffs on $300 billion worth of Chinese goods this past Thursday We also got a 25 basis point rate cut which we all knew most of us knew was going to happen here at the end of July we got that and the markets actually sold the news which I actually did talk about a couple of weeks ago for those You guys that remember you know The market was heavily pricing in that rate cut and I actually had a feeling leading up to it that Once the rate cut was going to come because again we knew it was going to come Let's be honest guys We knew it was going to come the Fed was was hinting towards it Trump really wanted the rate cut and once it came You know the markets dropped right that sometimes happens.  What's the saying now top my head? It's called buy the news or rather or buy the rumor sell the news or something like that comment down below I'm forgetting off the top my head what that quote is But you guys know what I'm talking about and that ended up happening right the market sold the news right or whatever Right and if we go to the five-day five minute you guys can see the markets were kind of flat Monday Tuesday Wednesday this past week We got the rate cut we dumped we started to rally the next day and then boom that news came out the 10% tariff the market dropped from 30 10 all the way down to 2945 in the matter of a couple of hours here That's insane right and then the market tanked the next day all the way down to 29 14 That's about a 100 point drop in the matter of a day, which is about a 3.3 Percent drop again, that's insane guys and for those of you guys have been following Excuse me the trade war, you know the back and forth from Trump China the presidents You know all the stuff that's been going on if you've been following it over the past year at this point You know that every single time that Trump slaps tariffs or China retaliates the markets dump guys It's literally like Trump Announces it right announces the tariffs the markets drop like that It's it's like a blink of an eye and you guys can see what I'm talking about take a look at these red candlesticks These are panic selling candlesticks. You see how quick that goes down guys This literally happened in the matter of 30 minutes the market dropped like one two percent That's insane right and if we take a look on the 184 hour chart very quickly You guys can see that the markets at this point, you know They've corrected about three four percent from that peak all-time high at 30 27 and now We're trading at a very critical spot on top of the 180 simple moving average support Which is this yellow line and a lot of people might be thinking, you know This is a time to buy the dip, right? It's a time to buy the dip right and I'm thinking me personally I don't honestly think it's time to buy the dip quite yet because this news about the tariffs It's really fresh this happened on Thursday, right? I think the market can still negatively You know, I think that this could still negatively impact the market honestly heading into this week And if we were to break this level, you know the 180 SMA support if we were to break that that's a very very Critical break, you know, that's very critical break, right? You know at that point we could be going down maybe to 2885 and if I pull out my drawing tools very quickly You'll guys be able to see you'll be able to see what I'm talking about here You know, we may be going down to 2890, right? That's a level that I'm seeing here 2850 That's another very strong level that I'm seeing here You know, there is room to drop here. Although the RSI is showing that we are Oversold right and a lot of the times guys, you know, I don't rely on one indicator Just because the RSI is telling me that it's oversold I'm not going to be buying the dip right because when these when these new when these, um, you know When the news comes out that there's tariffs trade war sometimes Technicles they don't matter at that point, right? The market will sell aggressively no matter what the technical say So that's why I'm really not paying attention to the RSI at this point because the negative news is still fresh So if we break that guys 180 SMA, we may be going down 2890 We may be going down 2850 and honestly, we are in need of a correction at this point in the stock market, right? We got a correction a couple months ago if we go back here and look from, you know 2950 down to about 2730 that was about a 7% correction, you know If we do see something similar, you know, if we drop down to 2840 from the peak that would be another 6% Correction right and corrections. They're very healthy everything that goes up You need to see some form of correction some form of healthy pullback because not everything is going to go up Infinitely right not everything is going to continue to go up no matter what there's going to be points where we correct and this could be the start of another correction and the support levels that I mentioned a couple of seconds ago 29 or 2890 2850 those are the ones that I'm watching here on the S&P 500 Which are the 500 largest publicly traded US companies? So if we go to the Nasdaq very quickly guys, this one got hit pretty aggressively This one actually already broke the simple moving average supports on the 184 hour chart Which is not too good of a sign here This one's showing a bit of a technical, you know, a very bad technical You know break here after we broke that level and now some levels that I'm watching are 7550, you know, we could be selling off there You guys can see back in March that was a resistance at 7550 once we break a resistance It becomes a new support, you know back in May and also back in June. That was all you know Those were also resistance levels So this is a very strong new support for the Nasdaq and notice how the RSI is very oversold But again, technicals when news come out, you know when when there's negative news in the market rate cuts or not Not rate cuts a tariffs, right trade war sometimes, you know technicals and you know indicators they go out the window, right? But anyway, you know 7550 that's a support that I'm watching if we take a look at the five-day five minute We can see the performance you guys can see here, you know rate cut they're not the rate cut What do I keep saying rate cut? Tariffs tariffs came out 8,000 we dumped crazily all the way down to 7780 guys and we ended up going all the way down to 7650 so this one got hit a lot harder than the S&P down about 4.36% in the matter of that one or two-day span there and if we go over here to the Dow Jones Industrial Average you guys can see this one was down 98 bucks on Friday down 0.37% when the the tariffs came out, you know 27 200 or rather 27 100 is where we were we sold off all the way down to about 26 249 which is about a set or like an 800 900 point haircut on the Dow Jones about a 3.3 3.2% drop on this particular index and if we go to the 184 hour chart to break down some technicals here just like the S&P guys The Dow is actually maintaining that 180 S&P support on the 184 hour chart So I take a look and see are we going to hold this are we going to blow through the floor of that? You know and start to test previous supports, which at this point if we take a look, you know, we can see, you know 26 250 That's a level. I'm watching, you know 26 26,000 flat that's another level. I'm watching we may be testing these points this Upcoming week and of course if we go down a bit lower, we have 25 850 we have let's see We have about 25 500 these are all levels that are up and coming at this point if the you know If the sell-off continues and if we take a look back in May when we had that sell-off we went from about 26 What was that 26 500 all the way down to about 24 700 Which was about a six seven percent haircut in the Dow Jones industrial average at this point We're down about three four percent So if we see a similar drop that may be putting us down here to about 25 800 maybe even lower to about let's say 25 500 so that's a quick little, you know market update here What's been going on, you know in the in the past couple of days and weeks here in the markets We got the rate cut we got tariffs now if China Retaliates guys. This is something that could very well happen. They've retaliated before if this happens again The markets can take another hit so be careful. I'm personally very cautious right now in what I'm trading I'm looking at some stocks, but mostly guys. I'm watching these You know market ETFs that I have here and we'll get into that right now guys But before we get into that actually let's talk about that one stock, which is Disney Disney at this point They are reporting earnings this upcoming week if I'm not mistaken. Yes, they are on the 6th of August which is Tuesday guys so Disney at this point just like the entire market It's taken a haircut from 147 down to about 141 and if we take a look on a percentage basis here That's a four percent haircut and depending on what their earnings are how the market is this upcoming week This can fluctuate Disney heavily right it can fluctuate Disney to the upside if the earnings are good And if the market is running down red again two three percent in a day Even if the earnings are good Disney could very well continue to sell off But let's say Disney doesn't sell off here. Let's say Disney holds this 180 SMA support This could potentially be a dip by here right and me personally I'm going to wait until most likely Wednesday at this point to potentially trade Disney because I Like buying stocks or at least you know buying into these Trades after you know they report earnings. I don't like gambling on earnings I like seeing how the guidance is what the earnings actually were before hopping into a stock But let's say again earnings are positive. Let's say miraculously the markets do recover this week Which honestly I'm not really, you know, I'm not really You know thinking that's going to happen at this point I would say there's like if I were to put a percentage chance I'd be like thirty percent chance markets recover this week seventy percent chance We continue to sell off But let's say thirty percent chance we bounce back coupled with a good earnings on Disney This could be a very good dip by with about again about a four or five and more like a four percent You know potential for profit back up to one forty seven So Disney at this point could be a dip by but again if the markets tank this could very well tank Disney down Along with the markets, right? So let's talk about some of these market ETFs very quickly because again These are what I'm focusing on in the volatile times that we are in and I focused on these for months in the past While we were in volatile times before and starting off Let's talk about TV IX and for those of you guys that don't know TV IX is one of my go-to plays when a Volatility is up and be when the markets are aggressively selling off and TV IX this trades based upon the VIX VIX is VIX for those of you guys that don't know this is the volatility index and now that we're on this topic of the VIX guys Take a look at how the VIX performed it nearly doubled if we go to the 10-day chart you guys can see it It went from eleven dollars up to twenty dollars in the matter of a couple of trading days That is insane, right and you think to yourself TV IX did crazy. Well, you're right It went from twelve dollars up to about nineteen dollars. We're on the pullback right now at about seventeen sixty five So let's say the markets get rocky. Let's say there's more volatility Monday heading into Tuesday Wednesday Thursday Friday for this whole upcoming week This could be a very good play. Let's say the VIX touches twenty bucks again because it did on Friday Let's say we pop back up maybe get twenty one dollars twenty two dollars a lot of volatility TV IX could be up Ten twenty thirty forty percent in the matter of a week and you may be asking yourself Does that actually happen does TV IX go up that much guys? If you've been paying a TV or paying attention to TV IX over the past month or not month This was about two three months ago. Actually you saw that in one day. It went up 40% for zero. Yes, you heard me right 40% TV IX went up 40% in one day So yes, it can go up ten twenty percent thirty percent in the matter of a week And that is why I see insane potential in TV IX this week because again, let's say China retaliates markets get rocky Trump sends a tweet. Let's say he sends a tweet about something, you know We all know how sensitive the market is to Trump and Trump's Twitter. This can end up dropping the markets heavily, right? So TV IX I'm watching it right 17 dollars. We are at right now up to 19 bucks That's an eight nine percent margin of profit and of course like I said if the markets drop again The VIX goes to 20 25 we give volatility. This can go up even more guys to 20 25 Maybe even 30 dollars per share. So SQQQ Q This is another one that I'm watching right and for those of you guys that are long-term viewers of this channel You know that SQQ Q is another one of my go-to ETFs whenever the market is selling off and this one in particular Trades based upon the NASDAQ right the NASDAQ whenever the NASDAQ is selling off This one's going up at a 3x rate. So this is a 3x leveraged ETF, right? So let's say the NASDAQ goes down 2% one day the SQQQ Q ETF is going to be up 6% right so you guys can see we were up 4.6 percent this past Friday the NASDAQ was down about 1.2% and if you do the math, it's roughly what you know, you know, if you do the math here 1.2 times 3 That's roughly what you know the SQQQ Q ETF was up. It's not exactly right It's not exactly, but it's roughly so again the NASDAQ I'm sure a lot of you guys know this but when there's volatility in the markets when stocks are dropping Tech usually gets hit pretty hard and the NASDAQ itself Dumps more than the S&P and the Dow which is why I really like SQQQ Q because it'll go up the most Right because if the NASDAQ's dumping the most that means SQQQ Q is going to be going up the most compared to some of these other Market ETFs that I trade that trade based upon let's say the S&P or the Dow Jones So NASDAQ guys again We dropped about 6% or like 4 or 5% from the peak now when you guys saw the S&P in the Dow We're down about 3-4% so you guys can see that the NASDAQ did sell off more over the past couple of days Which proves my point right so if we go back to the SQQQ Q ETF at this point We're breaking out of the 180 S&P resistance. That's very good if we get more volatility NASDAQ tech sells off this gonna go flying right so another one that I want to talk about which Rebounded very aggressively and I'm pissed at myself that I missed this move because I was watching it guys It is JNUG guys and JNUG is another ETF that trades based upon gold that goes up whenever gold is going up And I'm sure a lot of you have seen gold over the past couple of days It bounced right off the 180 S&P at 1413 after that little haircut once August started It flew all the way up to 1461 and at this point We are getting a bit overbought here and if we draw out some levels of resistance and support right now new levels We can see 1450s a strong old resistance now since it's an older resistance and we broke out of it We'd want to see it hold that as a new support. So that's kind of what I'm watching here You know if we get that pullback which honestly at this point. We're already at 1450 So if we hold this and maybe start popping back up to the 1460 ish level This could be a point where gold could potentially break out again, but let's say we break 1450 We may be selling off to let's say 1440 which at that point the RSI would come down to a healthier level and J Nug would honestly open up even more margin of profit So I'd actually rather see that happen so I could get a better You know entry point on J Nug we could potentially get in let's say at 75 Maybe 73 and if we get lucky maybe back down to the low 70s again where we were this past week where I Missed the opportunity guys which again I'm pissed of myself, but you can't get all of the opportunities out there That's just impossible right you can't get in every single play right that's again just impossible But J Nug it's worth watching gold in these markets You know as the markets have been selling off vile tile trade war rate cuts people are scared of their recession the economy slowing down Gold has been flying up And I'm sure a lot of you guys have been seeing that if you've been doing your analysis and very quickly for those You've guys that haven't seen that you know gold has gone literally from April 1269 all the way up to 1460 in the matter of three four months. That's a 200 something point Pop or about like a 190 190 point pop Which is a very strong move in terms of gold because honestly guys gold a lot of people don't even consider gold an Investment right it was up 13% since that drop in April, you know a lot of people don't consider gold as an investment They see it as a hedge, you know against the dollar right You know very kind of like a safe haven place to put your money in rocky times gold Ted typically holds its value over time and a lot of people feel safe putting their money in gold But me personally I actually don't really own any physical gold to be completely honest with you guys But I'm thinking about maybe buying some, you know physical gold here and maybe sharing it with you guys doing an unboxing That's something that I'm thinking about here over these next couple of weeks, you know Maybe right maybe we'll see and of course I'll share that with you guys so looking at my sheet here I do have a couple more here Microsoft This is another one that kind of relies on the overall market if the market dumps this one could very well dump as well And let's say the markets read they bounce they rebound that 30% chance that I gave you guys Let's say that does end up happening, you know This could be a perfect dip by on Microsoft and you guys can see here Microsoft honestly You know based off just the naked eye here I don't think this is sold off as much as some of the other stocks During the periods of sell-off in the markets and for those you guys that don't know what I'm saying again We got that market sell-off in May, right? We got that dump and Microsoft seemed like it wasn't hit that hard We got another dump back in December. It was hit decently hard But there are a lot of other stocks that were down more than the 15% that Microsoft was down So typically Microsoft I think hold its value a bit more than some of these other tech stocks during some periods of time Where the markets are selling off? So let's say we miraculously hold this 180 estimate tomorrow This could be a point in time where we're at a 4% dip by from the all-time highs at $141 in 88 cents, right? We got the earnings report already off top of my head. I forget what they actually did You can see okay. They beat on earnings 124 estimated DPS 137 actual. That's very good. It did very I didn't do well that day Yeah, it did well that day You know hit all-time highs again after that shortly after the earnings But then again the markets dumped took Microsoft down with it now we're holding that spot So this could be a point where we pop and I'm watching that for Microsoft And if we go down to about our to the 20-day one-hour chart very quick You guys can see the choppiness of this stock at this point so choppy on the 20-day one-hour chart It's crazy. We reported earnings pop sold off the next day Popped to the all-time high that I talked to you guys about the markets dump took Microsoft down We popped up the next day or yeah Yeah, they popped up the next day sold off aggressively So just keep an eye guys if we break this 50 SMA on the 20-day one hour We could be breaking out at this point and again that heavily relies on whether or not the overall markets Recovers so this stock that I'm going to talk about right now This is one that actually one of our discord members ended up calling out a very active discord member And that's ticker symbol DF and I'm typically not trading Penny stocks you guys that have been following the channel. You know that I like large cap stocks But whenever somebody calls out a stock I like covering it on the channel giving my little two cents about it And this is one that was called out and I'm going to give my two cents about it So let's get right into it guys. So DF Dean foods honestly I don't know anything about this company right you can see clearly on the 184 hour chart the six month chart This stock has just been dumping every single week right every single month every earnings report It seems like it's been dumping afterwards the 180 SMA The 50 SMA here the green and yellow line. They've obviously been resistances right We've been making lower lows lower highs just simply down trending right But now we seems like we found a bottom at about 87 cents We're starting to rather hold the 50 SMA as a support instead of being rejected at it as a resistance And now we're actually breaking out of the 180 SMA resistance Which is a very very good sign of a potential breakout here Notice how we are reporting earnings here on the 6th, which is this Tuesday at 8am central standard time So this could heavily fluctuate the stock right and again the previous couple of earnings reports It seems like we've been dumping after every single one right we we dumped after this one We dumped after this one, you know, if we go back to the yearly chart Let's see what's been going on on the yearly chart You guys can see it's just been heavily down trending over the past year as well So this earnings report in my opinion, right again, I don't know what the projected earnings is But this is definitely going to fluctuate the stock So at this point if we report earnings and let's say we pull back and maybe hold that 180 SMA This could be a point in time where we retest it as a support and maybe break out again But let's say, you know, the earnings are negative Let's say we break the 180 SMA and the 50 SMA support and we start to trend down again This could just simply be the continuation of the downtrend that we've been on So in my opinion, you know, this is a very dangerous stock to be playing with right If you have, you know a lot of research built into this You think the earnings are going to be very very good You know, you have maybe an outlook of about a couple months a year two years on this company You know, this could be a very good opportunity to hop in but again me I don't have that outlook right now overall the trend what I'm seeing It's a bit negative at this point in over the past year We've been down trending and that doesn't mean that the company is going to go bank or up That doesn't mean that the company is just going to continue to downtrend But what I'm seeing based on the previous data leads me to believe that You know, this is a dangerous stock to be playing with right and and you know A lot of the penny stocks are out there a lot of the stocks under $5 $3 whatever you consider a penny stock A lot of them are very dangerous. So, you know, I'd personally wait and see especially with the penny stock You know, what are they going to do, you know after earnings? How's the guidance? What are the eps numbers? What are the revenue? You know, how's everything looking? How's the stock reacting? How's the market reacting, you know after earnings before even hopping in you guys can see again The RSI right now, you know is a bit overbought. So if we do get that pullback to retest maybe that bullish cross good earnings You know, this could end up, you know pumping the stock up, but overall on the one year one day chart We can see that even if it does pop up on the 184 hour chart Even if we do break out on the one year chart, we can still see we're extremely overbought and we're overall trending below The yearly 180 SMA here, which is a bit worrisome if we were breaking out of this level I think that would be pretty pretty attractive But we're not getting that quite yet and me personally me personally guys, you know, I'm not looking to trade this But again, I broke it down for a subscriber a very active discord member And I do that for a lot of you guys that do end up calling out stocks So that's kind of my two cents on DF at this point and honestly guys those are just the stocks and ETFs that I'm watching this week I'm being very very cautious with stocks, especially stocks because the market can dump right and that will take down stocks A lot of the large cap stocks that I typically trade, you know, I'm mostly watching these market ETFs, right? TVIX like I mentioned sqqq, you know spx not spxl spx s if you guys want to trade An ETF that trades on the s&p 500 this one goes up Whenever the s&p is selling off So if the markets dump and you want to trade one on the spx, this could be one to play right another, you know Volatility one to be watching is uvxy this one goes up It's kind of like tvix when the markets are selling off and when the vix the volatility index is going up So those are a couple that I am watching this upcoming week guys If you enjoyed this video feel free to go down below and hit that like button again It really supports me and I really appreciate all of you guys out there that do that And if you want to see further content for me consider subscribing hit that notification bell and leave a comment Let me know. What do you guys think about the markets this week? What are your thoughts on everything? Are we going to sell off our stocks going to rebound? Did you buy the dip? I would love to know what you guys have to think so again I really appreciate all of you guys taking the time out of your day to watch these videos If you want to be further connected with our community the strive smart discord strive smart facebook my personal instagram All of those are linked down below. Good luck this week. I hope you all kill it. Peace out


What's going on guys? My name is Seth and a few years back I was in constant collaboration with Michael here on YouTube. Amassing millions of views that have since perished as you may well know. Last month I entered the short film competition My Road Reel presented by Road Microphones. You may remember that Michael shared this with you on the community section here on YouTube. Well thanks to all of your votes I am pleased to confirm and announce that I won the competition and it is mainly thanks to all of you who voted through on that link Which made that possible. I just wanted to thank you from the bottom of my heart to every single one of you Who took the time out of your busy days and voted for my short film and in case you missed my winning entry Go ahead and check the description below for the link to that video drop a like on it And let me know what you think of it as well Now as a special thank you to the lost history channel that I worked on years ago and to what we are trying to achieve on this channel Well, just wait till you hear this So what exactly are the pyramids at the Giza plateau? Answer, nobody knows. A commenter one of our recent videos said that every time she hears that the great pyramids were constructed as tombs for the pharaohs Her blood pressure goes through the roof. The feelings are definitely mutual We know that it is logically impossible for these things to be tombs yet in educational systems across the globe They still teach this as if it is the word of God.  This is constantly being regurgitated time after time as though it is matter of fact when an actual fact This could not be further from the truth It is based on absolutely no facts whatsoever and believe it or not It's just a wild guess to what the would-be explorer imagine it to be from a preconceived idea Why is it that when our educators teach these lies it is not also mentioned that this is just a theory of what was believed hundreds of years ago This was the first thing westerners came up with as to what these ancient things are and it's stuck The great pyramids are completely bare. There are no hieroglyphics inside Why because the dynastic Egyptians did not access them. They never found a way in Unlike most of the other monuments and structures claimed by the dynastic Egyptians via the form of hieroglyphics The great pyramids never fell victim to such exposure They were sealed pre-flood and survived the period of Egyptian history that we refer to as ancient But these things existed much much earlier before the great flood For centuries they have begged us to figure out just what they are as they stand permanently on the Giza plateau Built to last the ages built flawlessly by civilization who envisioned this project and in which is almost beyond human comprehension certainly a deep and mysterious matter with no obvious conclusions But we do have theories of what these things could be The great pyramid for example has an estimated weight of close to 7 million tons The base of the great pyramid is 14 acres and it is 450 feet tall as you may well know But what does that mean exactly? 400 miles away in Aswan is where the quarried rock comes from This means that they would need to transport in lay 130 ton stone block every two minutes for 25 years without any break Transporting to 400 miles one block per boat Imagine the congestion on the Nile River. This of course is based on the technology We assume they use to construct this ancient wonder with Everything about the pyramids at Giza scream work of the gods A civilization that existed on this earth and one we now consider a myth because it mostly survived orally Before the stories were retold and redocumented after the ancient cataclysm Here is a thought The Hoover Dam hides an intriguing secret connecting sky to ground and past to present Using very much the same as above so below system of measuring time deployed at Giza around the great pyramid Located on the Nevada side of the Hoover Dam is an awesome monument dedicated to over 100 workers Who lost their lives to the construction of the huge machine known as the Hoover Dam and power plant Visitors are impressed by the two huge sculptures and the beauty of the base with inscriptions But only few will notice that the monument sits atop a floor designed to look like a celestial map The celestial map is embedded in terrazzo floor around the monument It is a beautifully executed representation of the night sky for a specific day and time And it includes many decorative features which include astronomical markings and curious labels Back in the 1930s when the floor was designed only an astronomer could have made sense of this information But today thanks to the computers and applications. This knowledge is available to the average person who desires and determines to learn While we are on the subject of the Hoover Dam, we thought you may find this fact interesting On december 20th 1921 a crew surveying locations for the dam got caught in a flash flood And a man named John Tierney was lost forever in the raging Colorado River One of the first casualties of the project Then on december 20th 1935 14 years later to the exact day the job site suffered its very last fatal accident When a worker fell to his death from one of the two intake towers on the Arizona side of the black canyon That man was Patrick Tierney John Tierney's only son Their names appear in raised metal on a plaque near the dam never to be forgotten The fact that we today are discovering ancient science and ancient secrets by means of modern technology Is the present meeting the past and the past meeting the present and the future wouldn't you agree? That's it for now guys It has been my absolute pleasure to make a brief return to the kepler telescope channel after a few years away And I have one last request If you have liked what you have seen and heard from me in this video Then please can you click through in the link in the description and subscribe to my youtube channel? If you like anything relating to short films photography tips and tricks and tech reviews That channel is for you. I have worked passionately and hard over the years on youtube, but it is a tough nut to crack I need 1000 subscribers so I can make a few bucks each month from the content that I take the time to film and produce If we can make that happen that I will happily provide a few more voiceovers for the videos on this channel Once again, my name is Seth and thank you guys so much for tuning in to today's video Go ahead and hit that subscribe button on this channel and then subscribe to my personal channel Which is linked in the description below Please leave all comments questions and concerns in the comment box below And I look forward to reading every single one of those once again. Thank you for watching and I'll see you guys in the next one


All right, this is the insurance sales truth. We're headed to Coltons for our Radio lunch that we do sometimes. I got mr. Dallas Keith Lee DK my radio partner Life insurance and meds up sells machine the freak the man the myth of legend. All right, we're gonna grill it We're gonna get after it.  I don't care about that I'm going into right business. That's their house.  Okay, in the interest there's a list there's the insurance. Okay. Yeah.   Don't be a chump No have stuff prepared Be prepared more of this whole story anything else you want to share on insurance sells truth. Keep it real, bro No, I love the quote. What's what's the biggest secret about you? No one knows it's a it's just a secret. It's a dark secret. This isn't natural. I shaved my head That's true It actually is bold. So he uh, all right. What were you fix say you fix to share something? No, I love the quote you guys said yesterday inspired me will smith said some people Dream of success others go out and make it happen and I'm paraphrasing Get up and just go to work every day. Let's do it. Get out and make it happen insurance sells truth. Thanks for watching


Space is the next navies, it's like another war zone. It's going to be a battle, highly contested and highly congested environment. And there are no rules of engagement in space. Hello and welcome to theCUBE's pod episode two, Dave. I'm John Furrier, John Belante. We're back for our second pod. First one was kind of our inaugural pod, Dave. We got it off the blocks on a Friday when you record breaking analysis. Learned a lot and had a great time and we're back for episode two. Again, as I was joking on Twitter, to the All In podcast with Jason Kalkans is that we had six views right out of the gate there. Six million more to go. Well, watch out, we're coming for you. Got a lot of great feedback on the pod. People say it's the All In pod for enterprise. I thought that was pretty cool. And just overall, first one was awesome. Looking forward to today. I mean, ton of news. We're going to review the news. We're going to go into the digital disruption, dig into where the money's being made. Ultimately, there's a lot of cringe factor going on with a lot of the politics around tech and just a ton of stuff to talk about, Dave. Big time action this week. Yeah, and we still got earnings are trickling out. We got Mobile World Congress coming up next week. Yes, never ends in tech, John. Yeah, well, let's get into it. I mean, the goal of the podcast, we're trying to get more consistent. The feedback was get the show notes right. We're working on that. So we'll get our groove, get a couple in. Just look beta mode here. But I think let's get into the news. I mean, to me, I had a couple of interviews this week I thought were notable. One was Swami who heads up the database AI for Amazon Web Services, who we've known for a long time. He opened up and talked a lot about how Amazon views the open AI trend of chat GPT on the heels of Microsoft. I'll see a competitor. But we really also talked about how deep it is. Like, and they have this new announcement with hugging face expanded news. That's basically their answer to open AI and chat GPT with Bing.  That's also Amar Awadallah, founder of Cloudera. His company was on the cube this week too, as part of a news segment around AI as well. Massive amount of traction with this generative AI, Dave. This is, to me, the big story of this pod is the news there is generative AI is a wave. It could be bigger than other waves we've seen that have been major inflection points. The PC, internet working, the internet, mobile. And I think, I would say social media was one big one, but given kind of how that's turned out, I think generative AI and foundation models, this chat GPT direction is big enough because it's so much behind it. It's infrastructure, it's apps, there's middleware, it's data, it's just, it's just is gonna be huge.  But, and people might think Amazon's doing the same, but I don't know if you remember, John, when you were out talking to Andy or Adam Salipsky last fall before re-invent, he actually talked about the importance of large language models and generative AI as well before chat GPT came out. And so, yeah, you know how it is in tech. It's like the NFL, if one person's thinking about it or they do it, everybody else is right there. It's a copycat league kind of thing. And there are gonna be different ways to skin that cat. We talked about, you know, maybe chat GPT doesn't have first mover advantage. George Gilbert actually, when he heard me say that, or us talk about that, said, actually they're getting a lot of early sort of warning signs and tuning the model so they actually may have a first mover advantage. So, yeah, we'll see. Well, I think I argued on that conversation against the first mover advantage. I think they do have a first mover advantage, but also, but the competition's coming in massive. Meta announced Facebook or Meta now announced their large language model. So the big dogs are coming in and weighing in with their stuff, Google. So Meta, like, okay, hey, you know, we spent a ton of dough on the metaverse. Now we're gonna pivot to large language model. So, okay, yeah, good, we'll see. Well, this is the thing.  Okay, the only company that hasn't weighed in is Apple. Okay, and you got Alibaba out there, but you look at these big giants, they are poised for large language model. I did a little sample on my feed with LinkedIn and Twitter. Took a few things about entrepreneurship in VC. I put it in chat GPT. It wrote a killer job memo to CEO founders for startups. It said, and literally it was all the stuff people were talking about, it put it into a memo. This is the future day. This is about, you know, automating intellect and changing the game as Amar Awadallah calls it, former Cloudera, now the founder of Victoria. This is real. I mean, I think this is gonna be one of those moments where apps are gonna become super apps with AI as part of it, big time built in as AI first. That'll probably come out very soon. We're an AI first company. I guarantee you the surge of startups will be coming in. VCs will get pitches all day long and they're gonna go at pedigree. Oh, you went to MIT neural networks. Here's $10 million, go.  Which if you think about it, as Paul Graham will point out, that's the antithesis of how Silicon Valley is. It's not about where you went to school. So I think there's gonna be this wave of AI where it's like, oh, you know AI? Here, here's some money. I don't think that's healthy in my opinion, but that's my opinion. Do you think you, you of course remember when Microsoft had the Trojan horse with DOS with the IBM PC and Microsoft ended up being dominant. Do you think OpenAI can pull a similar kind of judo move with Microsoft? Well, OpenAI is gonna be interesting to watch. If they're gonna be the single source of LLM, large language models, that's gonna be in contradictory to what I think is gonna be the wave, which is large language models working together and then threaded together with some sort of fusion around code and like a DevOps model around data. I don't think they win on the monolithic where we are the source of all things LLM.  Again, that's coming down to the old proprietary or loosely coupled, highly cohesive. And I think the web services market proved that that's a better model. So we'll see. I mean, I don't know. I mean, my guess is that it would go against OpenAI. I think OpenAI could be the Netscape of AI. I think, yeah, which means they get out fast and there's all this hype and then somebody else beats them. But the other thing too, I wanna point out is I think that the enterprise application of AI is gonna be different. It's gotta be cleaner. It's gotta be more accurate. All the ethics and privacy, all that other stuff. It can't be as error prone as chat GPT when you're talking about security or logistics and supply chain or running a warehouse and robots or a smart factory. So the enterprise AI is got a much higher bar, I think, than what we're seeing with chat GPT even though I love playing with chat GPT. Well, we're gonna come back to the section 230 in DC Supreme Court, but the big guys have an advantage on the AI, Dave. And I think the phrase I liked I heard from my podcast with Amar Awadala and his team was this new term called prompt engineering. We're prompting the AI as the skill. That's the engineering talent of the new AI DevOps like mindset. And I think that'll be codified. I think you're gonna see a lot of apps. This is what the top alpha geeks are talking about, Dave. They're like all over this AI.  Like the UNC discussion last week where they're don't let people use at school and you got big banks, you got Goldman, Morgan, all the top New York banks are banning chat GPT. And then you got a tsunami of startups on the other hand just coming in, getting funding left and right and all the alpha in the know people are saying this is the next big thing which we're saying too. So you got an interesting market. Shut it down, let it go. That to me is interesting. But you saw they also, you saw the medium post that professor from Wharton said, I'm forcing my students to use generative AI so they can learn how to prompt. He was an awesome article if you haven't seen it.  And I think that's the right model. You have to learn how to interact with the system and that level of creativity should be taught, not banned. So the question on the table is, that does this give the big players like Amazon, Google, Microsoft, LinkedIn, these large hyperscale content markets the advantage over any startups? Because just this week, Dave, in DC, section 230 of the Telecommunications Act of 1996 is being argued in Supreme Court and it's a contentious argument about the big companies and that section. So is it the law or is it the companies that are causing innovation stunting or is it, are they actually helping innovation? You know where I stand on this. What's your take on section 230? Well, first of all, let me say it, market forces are much more powerful than I think our government intervention, having said that something like section 230 could put some handcuffs on the large companies if in fact, although right now it looks like the Supreme Court is going to rule in favor of the large companies. Like how are they going to be able to adjudicate here? But I think in general, it's hubris, it's market forces, it's like the article about Google that is so sort of inwardly focused on not, on pleasing everybody that they're missing some opportunities. And so I generally think when we oftentimes feel like, oh, these companies are at a peak, it was like reminds me of Windows 95, Microsoft in 1995, Microsoft will never be beat. And then it was like decades that they were in irrelevance. And I think just technology moves so fast, open AI came out of nowhere as a perfect example of a potential disruptor to all these big tech companies. Well, I think that the section 230 discussion, the question isn't about the big tech companies, the question is, did the section 230 cause all the harm? Or was it the tech companies that did it? So, you know, if you look at some of the arguments there, what is section 230 about? It was written in 1996 and it was last updated in 1934. So you got 1934, 1996, 2023. In 1996, Bill Clinton was president. The internet was just starting. The web had a handful of websites. So section 230 protected free speech and allowed the online platforms to develop these innovation. So the question is, what's better right now for section 230? Is it, does it help innovation or is it hurt innovation? Does it create more competition to replace Facebook? I mean, Facebook really is a monopoly at the end of the day. I mean, who's going to take on Facebook and Instagram, what's that? Nobody. And if section 230 doesn't get fixed. TikTok. TikTok. Not if it gets banned and it was now banned in the European Union this week. But it's a proxy for disruption, right? I mean, somebody else will do the next TikTok. I mean, I don't buy that these companies are insurmountable. But you know, again, I've said last week that if a company is behaving like a monopoly and using its monopoly powers illegally, it should be regulated by the government. No question about it. Well, section 230 Dave is about who's responsible, not about monopoly. So is Facebook responsible? Is Facebook responsible for the death of that person from ISIS? It's a hard one to argue, I think. I mean, you're basically, I'm inferring from what you're saying that they are responsible. But, you know, I mean, I think ultimately it's the individual. It's the person who pulls the trigger, not the gunmaker, right? But not that you shouldn't regulate, you know, certain firearms, but yeah, it does what's section 230. And I think it was, even though it's an old law, I think it was written, you know, very thoughtfully. And so I think there's probably certain guardrails that you can put on these large tech companies. And I think they have pigged out on advertising. So I think that's fair. But the backlash that's coming from that, you got to be careful what you wish for and the unintended consequences of limiting free speech. Yeah, and I think section 230 can't be changed to support the big tech companies. I think there are two different issues. The big tech companies versus the section 230 has to promote competition. I totally agree with you on that. Competition is critical to keeping everyone in check. I mean, I think the bad behavior from all this is from the big tech companies because they had no incentive to be checked on that. And I think that's the one thing that section 230 is a little bit outdated on is in 1996, there was no internet the way it is now. So a completely different environment. But it was designed to protect free speech and promote innovation. That is the tenant of section 230 in the decency act as part of the Telecommunications Act. Hey, do we even use that word anymore? Telecommunications? I mean, we're going at Mobile World Congress, telco industry, what does it even mean to be a telco? But I do kind of liken it to the Second Amendment that was sort of alluding to that before, whereas, okay, you're not going to ban guns, but there's no reason you can't have more control, banning assault weapons, having background checks, things like that are prudent. And when the founding fathers wrote the Second Amendment, they couldn't imagine the power of firearms, just like you're saying, back in the 30s and the early days of the internet, we couldn't imagine how this could be abused. And so certain guardrails should be put in place, but I don't think it's right to completely flip the law. I don't think that should be the outcome. Well, I mean, we'll see. I mean, we're watching that closely. I mean, the companies can get sued. We're a media company. We can be sued for what's on our properties. Facebook, those go, hey, we don't post anything. So it's a very interesting, we'll see how there's a huge, huge discussion. This ruling will be pretty epic. It's going to impact all the big guys. We'll be watching it. Of course, they all have cloud computing technology and large language models. So again, I think there's so much change coming. I'm anti-government. Personally, you know my viewing on this. So, you know, we'll get to that in our rant section later, but let's keep on the news. Telco disruption, you got Amazon launched, the new Telco cloud native world going with their new product, Telco Builder. You got HP just bought a private cellular company. A lot of stuff going on on this telecom world, Dave. Mobile const around the corner. Cloud native is going to drive train down the tracks to crush the Telcos. Are they playing chicken with the train? Or what's going to happen? What are your opinion on this? Well, I think that the Telcos are definitely ripe for disruption. And it's the fundamental trend, as we've talked about, is the disaggregation of the hardened Telco stack. When you break that in, we've seen this movie before. When you break it into horizontal layers, that just opens up competition. It also opens up, you know, seams as well. So you got to have the ecosystems, then the cloud is right there for that disruption. The one thing I would say is that is in the favor of maybe some of the legacy companies is because the cloud is generally outpaced, the Dell's and the HPEs and the Cisco's and IBM's of the world and Oracle's, but this market's going to move very slowly. Number one, number two is a lot of the Telcos are really paranoid about the cloud doing an end run and putting in their own private networks, putting in their own local zones and bypassing the connectivity requirements of the Telcos. And so I do think there's going to be a hybrid model that emerges. And then you saw, you mentioned the HPE by Ethernet, Dell had a deal with them to do private networks and HPE, like the next day or two later, buys the company. So now I guess Dell and HPE are partnering so that's probably not going to last too long, but there's so much going on in that business because it's super large, it's entrenched, but it's blowing up in ways that are really kind of interesting, exciting and kind of hard to predict. And the last thing I'll say about this is, the 5G networks have taken a long time to build out. I think the hype, it's not lived up to the hype and we've talked about this going to take years, but it's going to happen, it absolutely has to happen.  So the sort of the greening of the network, I think it's going to be a big deal this decade. I think that brings up a great point. I was kind of hinting at that and you kind of helped me think about it differently is the 5G and all the telco innovation has been slow and they've had a monopoly too. They've had positions with the poles and the transit. Cloud native, okay? And discussion of edge computing is huge. So I think the battle, the HP buying, the company that Dell was doing business with as their ace in the hole for private and wireless for enterprises, you're starting to see this battle at the edge day. This is like the next frontier. We brought it up last week on the pod. This is more evidence that the distributed edge, cloud native edge-enabled computing is coming through the telcos. The carriers will either adopt or be crushed. But how do you crush a carrier that's got all that footprint? This is an interesting game of chicken. As the train comes down the tracks, the telcos are sitting on the tracks. Who's going to move first? How long can you stand there before you get run over? I mean, that to me is my angle on this, is that it's clear that cloud native is coming and how fast can they gear up and not get run over? Yeah, and the big question, John, is in a world without telephone poles and wires, can the telcos move beyond connectivity? I mean, they've lived off of connectivity for decades and they've not shown that they can move fast enough. Having said that, they're really good at making networks reliable, you know? And providing really good service levels. So who's going to do that? You know, especially in this world of open-ran and on open ecosystems.  And so I think they're going to have a hand in this. And I think they've got to embrace cloud native. There's no way around that. You know, the question is, can they move fast enough and dip their toe enough into the cloud to sort of keep them close?  Can they play that game with the cloud players? So they're going to have to. Well, they've got a lot of stuff going on. A lot of stuff already hitting that kind of ties into national security, we'll get into that. But while we're on the mobile telco angle, Chinese military researchers say China plans to build and deploy a network of 13,000 low orbit satellites before Starlink. Network is complete by 2027 from the South China Morning Post. So Elon Musk, Starlink, it's also the one year anniversary this week of the Ukraine war, which by the way has survived all the Russian, you know, sort of cyber warfare, which you know, it's been known that the Ukraine has been a test kitchen for all Russian cybersecurity maneuvers. That's like their beta playground. And now Ukraine has survived all that with help of the United States and allies as we're learning from our reporting is that it's been a huge win. So you got China, Russia, now you got China with satellites, they could drop down satellites from space and control networking from there. So that's going to be a huge discussion point in the future. And I think at Mobile World Congress, you're going to see a lot of international China phones being discussed. So be ready to see next week, Dave, when you're there, what the international vibe is. Okay, you got the European commission banning TikTok for any employees on their phone. That's a surveillance question. So China's got low hanging satellites before Starlink, telcos are being disrupted by the cloud players. This is going to end, this might not end well, or maybe. John, you remember when we were at Mobile World Congress in 2021 in July, June and July of 2021 and Elon Musk came in via satellite and he was asked what's your intention here? And the first thing you said is not to run out of money, like every other, like all the predecessors before me. So now you got the Chinese government can fund that build out. And to your other point about Ukraine being a proxy, the future of war is what's playing out in Ukraine. Yeah, there are bombs and terrible destruction, but it's also cyber. And you're talking about satellites, that's going to be the future of warfare that we're looking at here unfold right before us. And on that note, I just want to say this week I was at a chance to meet up with John Markov, former New York Times writer. He was hosting a book reading in Palo Alto by Nicole Perloth and she wrote a book called This Is How They Tell Me the World Ends. 10 years of research on cybersecurity. She opened up the zero day marketplace story. She broke that story, real in-depth report. She's the one who told me about the test kitchen vibe that Ukraine was essentially a test kitchen for the Russians. I mean, they were doing all kinds of things, taking down the power grid, shutting off utilities. She was actually there in Kiev when it actually happened. So real interesting dynamics going on. And then her point was, is that during the Ukraine war now the allies have all helped the United States and others, Russia got beat by them in the cyber game. So the little subplot to the whole Ukraine war is that there's been a cyber war going on in their own turf. It's like a home game for the Russians and they still lost. So it's very interesting to see how the cyber warfare is gonna continue when the red line is still article five and no one will drop below that line unless there's loss of life. And then I said, this has been examples of fetal monitors dying in hospital ransomware attacks where infants were killed. That's technically a US death. So there's a whole military doctrine debate going on around how to handle cyber warfare. This is going to be an ongoing point to this podcast, Dave, I'm telling you, this is not going away. I remember when I interviewed Robert Gates on theCUBE and I said to him, yeah, but don't we have the best cyber technology? Can't we go in the offense? He goes, yeah, we can. But the problem is we, we got a lot to lose as well. So our critic, I mean, the attacks on critical infrastructure this year are, I thought I saw a stat the other day up like 40%. And so the US is more vulnerable because we're such a successful country. In Nicole's presentation, she mentioned, I don't know if this is in the book, I haven't gotten through the book yet, but she said that one of her research came up from a source was the NSA had the jewels on all the best hacking technology, best ransomware, best code to fight cyber warfare and be on the offense. Well, they got hacked and someone took the entire arsenal of tech code that went into the open market. That created the beginning of the zero day marketplace and other nefarious actors. Because once the NSA's got robbed, that was out in the open market and it's been going on since. So a lot of roots of the tax from solar winds to Equifax, all the big hacks stuck next, all that stuff, Dave, it's all because the NSA got hacked. And the next wave is AI. The attackers have AI and they're going to be applying AI to identify and scale and they're already highly automated, but they're going to take that to the next level. You've already got AI writing code. People joke, well, it's writing bad code and humans have to debug it. But nonetheless, AI is going to allow the attackers to just be more effective. So a lot of digital disruption, a lot of news, we'll get to the earnings in a sec, but I want to bring up something while we're on the big digital disruption. Notable news, AWS got their one medical billion dollar, four billion dollar acquisition, I think it was four billion approved by the, got approved, no FTC action. There was threat that there was action going to be taken on that. And that's interesting. That's a healthcare opportunity where you bring Amazon Prime to healthcare. Yeah, I mean, I've said this many times that the most interesting thing to me about digital is that these big large tech companies, they have a dual disruption agenda. On the one hand, they're providing horizontal technologies across the technology world, cloud, storage, server, compute, AI, et cetera, data. As well, they're disrupting, whether it's finance, healthcare, grocery, logistics, not always successful, but they're able to do that because digital is data and they're able to traverse industries. Like you've never seen this before. Used to be if you're in a particular manufacturing industry, you stay there and that's changing. Yeah, this is the show me the money part because Dave, this is the section we want to get into. You look at the success of the earnings season that came out. You see the one medical type trend. That's healthcare, that's more service oriented. You're starting to see these industries being refactored. So there's almost a trend where you're starting to see the visibility into what's working and what's not, right? The earnings that are doing well, Palo Alto Networks, NVIDIA, others are failing, there's a pattern on it. If you're not on this right side of history right now, which is cloud native, scalable apps, super cloud, you're not doing well. You're seeing the earnings. Take us through your thoughts on NVIDIA had earnings that was interesting, Palo Alto Networks. Yeah, so I think two examples of Palo Alto Networks be pretty significantly and great margins, great operating margins. And their story has always been consolidating all these bespoke tools and they're executing beautifully. And they're also, they're dealing with the macro very well. We know that deals are getting broken up, large deals into smaller deals. There's more approvals and sequence of events that have to occur and Palo Alto got way ahead of that. So, you know, pops to them. I mean, really strong story there. I think NVIDIA is different. NVIDIA actually didn't have that great a quarter. I mean, the company's revenues dropped 20%. It did guide strength in data center, but I think a lot of it is momentum around AI. They're saying, hey, all this new AI and chat GPT stuff is going to require NVIDIA chips. And we think that's a huge upside for us. It kind of replaces the crypto buzz, which I'm still high on crypto. I think it's good, we'll be good there. We can talk about that. But I feel like NVIDIA was more, Jensen was his visionary self on the earnings call. So I think they were quite different. I think Palo Alto is executing. NVIDIA is more speculative with a company that has really the pole position in AI chips. Well, I mean, also gaming, right? Gaming, everyone loves gaming. Totally. Everyone wants the GPU. And they mentioned that's coming back. So yeah. Yeah, GPUs are there and you got the cost there. I mean, there's so much money coming into the startups now, Dave. Seed and early stage startups are booming. Series A startups are not doing well. This is the best time to do a startup right now. The VCs are in the trenches. You start to see the success formula. It's scale, it's data, it's AI, the general AI again. There's more, again, this is gonna be a bubble, I think for sure, with gen AI. And I think gen AI is going to trump the crypto entrepreneurial formula. So I think if you look at some of the trends from a funding standpoint, from what I'm hearing in Silicon Valley and seeing directly is there's no funding for anything NFT related. That's dead, okay? Crypto, on hold. Yeah, this might be some deals done for some boutiques, but all the alpha entrepreneurs that were deep in the tech side of crypto and blockchain are moving into AI because it's flush with cash. I mean, the spraying of the money around for seed funding for anything AI related is pretty hot right now. That's not being talked about in the press right now, but certainly here in Silicon Valley, you raise your hand with an AI startup and you have chops, you're gonna get funding. Like in a nanosecond, there's plenty of capital. So that's gonna be very interesting. The crypto alpha geeks are going to AI. I do think those worlds are gonna collide. I mean, the whole premise behind blockchain and crypto is cutting out the middleman and driving more efficient markets, whether it's FinTech or HealthTech, et cetera. And I think AI plays a role in that. I think those two worlds are gonna collide. And I don't think they're mutually exclusive is all I'm saying. You mentioned competition and the first move advanced for open AI and chat GPT. I was shown a demo today of Notion is one of those AI companies. They just launched their own AI piece of it this week and it's getting rave reviews. That's more AI hitting the scene. Again, you got Google with their kind of competitor. They didn't really kind of downplayed it.  And then you got the people banning it. So I think that's a signal of a market. Why would the banks ban chat GPT? Okay, when on the other hand, everyone's starting companies around it. Not ready for prime time. Is it security? Is it liability? Is it fear? I mean, I know a lot of people I've talked to like, I'm really nervous to put out anything that's AI related because I don't know what the impact's gonna be. There's a little bit of a fear there unless you can control and prompt it properly. Like some of the things we've used it for use cases and others have had success with. But generally the vibe is like euphoric but scared. What do you make of that? I hope I'm not miss speaking here but I think in one of the earnings calls, I think it was Palo Alto Networks and the Kesha Aurora, I think it was said he was on a plane to India to give some speech. And he took a speech and he ran it through chat GPT. He said, oh my God, it made it so much better. And CEO of a major company saying, wow, this is just making me a better communicator.  And then Jamie Dunn was like, hey, we got this crypto thing. So I mean, they're just, look it. You think they're just not first movers? I think it's greed and fear. Right now they're in fear mode and when the money's there, they'll start getting greedy. Talk about the memo you saw, the newsletter around the professor because I think this is really the catch here. There are people that actually know what's going on with the AI and the people who don't. And the ones who don't tend to are in a wait and see classic maybe first follower or the last ones to come on, come through. But right now the first mover, early adopters are all over this. They're very positive on this. Genevieve. I was last Saturday morning, I was talking to my wife and my daughter and I was like, hey, and I was doing this chat GPT example. I think I'm being obnoxious with them because I'm always talking about chat GPT and running stuff through and having to write poems and like, look at this, look at this.  I think that's a big mistake. And I got this visceral reaction from my wife and my daughter like, no way. I don't blame them because it's cheating, et cetera, et cetera. And then the flip side of that was the professor at the Wharton School, which was my argument was, no, you have to learn how to interact with the machines. It's that creativity that should be taught. It's humans and machines working together. And what this professor did is he said, I am, I'm showing my teaching my class, forcing them to learn how to do progressively more sophisticated prompts and to observe how much more, how much better the quality is when you prompt it and what knobs you can turn and how powerful that is. That to me, John, is the future of humans and machines working together and should be taught. Yeah. And I think, I think what you're getting at here that something I talked with Amar Awadal about at Victoria and Ed El-Leney is the chief operating for again, former cloud era, big data guys. So they know a little bit about this. The applications are, you know, enthusiastic. People are seeing the euphoric about the chat GPT. People see the value instantly, but there's a kind of an, those are the application side of it. There's going to be a slew of new super apps or AI apps that are going to come out and it'll be embedded in. But David, if you think about this next wave of generative AI, it kind of looks the same as AWS. And I mentioned this with Swami from ADES when we talked, the early days of AWS was, you didn't have to provision a data center to get code going. That was the entire premise of the early days of Amazon web services.  You would provision it on the cloud, pay a little in your credit card, pennies on the dollar, a value, really amazing. And then became the undifferentiated heavy lifting. In AI, it has the same effect as the large, these large language models are like, in the old days, the provision was heavy, you expensive, you had to build it out, build out the training, it was very expensive. And I think now what Swami was getting at and what Omar Awadallah was getting at is that with the new situation, an ISPAS SaaS concepts emerging. There's infrastructure, there's a platform. At the end of the day, it's the app set matter. So you start to see these early developers of AI apps looking a lot like the developers that were jumping on AWS. Swami lit up like a Christmas tree. So, oh my God, you're totally right. And Omar's like, absolutely there's gonna be a tsunami of apps, the next Dropbox, the next apps that were built on AWS, Airbnb's, they were all built on AWS will be on this new LLM. So the LLMs are now do all the heavy lifting. That's the Amazon story, that's AWS. I think it's a powerful image that you're portraying it because you're right, Amazon turned the data center into an API and large language models and generative AI are going to turn many, many tasks, provisioning IT, being just one of many writing and drawing so many things. They're gonna, this is gonna turn those capabilities, those services into human language interaction. So you're going to be speaking or typing, but communicating in the English language to fire off all these services out of the box. I mean, that is really game-changing. Think about some of the conversations we've had in theCUBE, I remember saying years ago, Dave, Google can't search what John and Dave said on theCUBE, tell me more, chat GPT can, if we take our language models for theCUBE and said, hey, John and Dave talked about SuperCloud, can you get the definition of what John and Dave said? It would spit it out. So that's not a query you can type into Google. You can't say Google, what did John and Dave say? So that's gonna eliminate forms. Hey computer, like Star Trek, get me a hotel in Barcelona, I need extra leg room, flight and here's my price point, done. Here it comes back. So this begins the interface, that's the application. So this is limiting, making things so much efficient and easy. This is why I think it's a game changer. The memo, oh my God, a great memo, better speech, better blog post, that's kind of a reality we see, but it's going way beyond that. It's going to be an interface. I thought Nier Zook said it well on theCUBE. He said, within five years, he said, we was talking about socks. He said, within five years, every sock is going to be AI-powered. Not going to replace your job, but every sock is going to be AI-powered. I think so many jobs are going to be AI-powered within five years. Not all jobs, AI's not going to rake your leaves for you, but it's going to, anything that's cognitive is going to be AI-powered. There's no question in my mind within the, well before this decade ends. Well, Dave, let's get into areas that you think this week were cringe worthy or newsworthy from a rant standpoint. I know you last week, you opened my eyes to the FTC and I then checked it out, the Wall Street Journal article had a report that the commissioner of the FCC had quit through Lina Khan under the bus. And that was interesting because I'm like, you brought that to my attention. I'm like, hmm, I never really looked at that way. So interesting, the FCC, FTC, commissioners gone? What's- Yeah, it gets worse.  The story came out this week, the FTC was colluding with the EU to kill, an $8 billion acquisition of a startup in the genetic sequencing space. So Lumina was going to buy this company, was trying to buy this company that detects the probability of cancer. The US Chamber of Commerce had to use the Freedom of Information Act and sue the FTC to get the relevant docs, which again, show the FTC had concerns about the potential for making it harder to compete. No evidence necessarily. The point is the FTC continues to force its anti-tech, anti-big company agenda in ways that lack transparency, doing end runs, and they better be careful what they wish for because their actions run the risk of making the US less competitive. As was the case, I would argue with Nvidia and ARM. Instead of supporting that, the US government sued Nvidia and killed that deal with the EU. My opinion, big mistake. So what does that really mean? Why is that happening in your opinion? Is it just incompetence? Is there an agenda? Is it political? Because you're starting to see, this is the whole S section 230 that gets me pissed off, is that there's so many politically and social justice warrior agendas involved that have nothing to do with the outcome for users and society.  That was a move later. So she sort of slid in. And I think it would have been a different confirmation process that they said, okay, she's going to be the chairperson because she has an agenda. She's trying to change the standard by which, you know, monopolies or big companies are regulated, not actual damage to consumers and illegally using monopoly power, but the potential for that. And that is, I'm not saying it's necessarily wrong, but to put that kind of power in one person's hand, I think is really dangerous. And the unintended consequences, especially when you like say, you got China floating satellites disrupting, trying to lead an AI, you know, you start attacking. They've got China balloon, they're talking about the China balloon that fell down. What is, it's a big thing, but they got 13,000 satellites going to be roaming by 2027 and talking about taking over the, taking over the new frontier space force. Space is the next navies, the next, it's like another war zone. It's going to be a battle, highly contested and highly congested environment. And there are no rules of engagement in space.  And the next battleground is AI. You know, AI and chips, okay? And we're limiting China's access to a lot of semiconductor technologies, but China's all over AI and you've said it earlier in this episode, who's the big AI players? Amazon, Microsoft, Google, et cetera. And the US government is basically attacking them. And that could have consequences. That is so funny. I was going to bring this up in my ranch section. I got a pitch from a PR firm. The adult industry is adopting AI.  So you have, this is real news. This is what's really out there. Dave, I mean, really?  That's real. Speaks this. Yeah, okay. What's your reaction to that? I guess it's like.   It's going to be, everything will be AI-infused. My point, my point is, AI war, AI, you're starting to see adult industry. Every vertical is impacted by AI. Again, this is just more proof that we're kind of going down a new societal impact role. What is the, what's the rules of engagement? What's real? What's the truth? What's going to be synthetic? What's going to be legit? I think there's going to be a lot of struggle. I mean, I was, I had in the, here in my rant list here, social media is causing depression issues for, you know, younger teens, especially females. So social media is causing kinds of problems, calls kinds of anxiety and issues. So, you know, there are societal impacts to, I won't say regulation, I'm not saying I want regulation, but you know, there is a responsibility while Facebook's printing money with their amazing targeting system, they look the other way and broke democracy, causing problems. I don't think the social media big giants have done well in my book. I mean, the iPhone's been a great innovation, but I can't say outside of Apple what other companies are actually doing good. I mean, I don't, I don't really fault Apple at all. I think Apple's probably the best. You don't see Apple, they're good on security, they're proprietary, they have good ethics. And Amazon, I will say too, Andy Jassy says, you know, he's got first principles. So, you know, you have some companies that just aren't leaning into the first principles and have any kind of ethics. So, you know, John Markoff and I talked about this again this week in New York City, the AI ethics has been going on for many years, decades actually. So there's a lot of work, I think that's going to come to the surface on AI Dave. This next year, next two years, there's been a lot of work and everyone gets all glammed up by the shiny new chat GPT and then everyone raises scare tactics like, oh my God, security ethics. But it does bring a mainstream. So I think you're going to see a lot more academic folks rolling into the marketplace bringing out research. You'll see new kinds of data emerging. And, you know, it's a health issue. I think Google and Facebook are sort of the most exposed here in this topic, John, because they're living off of ads.  But again, I come back to markets are ultimately going to determine the winners and losers. And there will be new disruption. There will be, you know, a next wave of giants. It's this, you know, it's not over. In my view, you're going to, you know, some, whether it's Musk or the next Steve Jobs is going to come out and create something that's going to blow the world away. It may take another decade. But, and I think, you know, it's interesting. A lot of this, a lot of the innovation, you said a great time to start a company. A lot of the innovation that we're seeing today started, you know, mid 2000s, 2006, 2007, 2008 when the economy was in the tank.  Valuations are down. It's a great time to start a company. Yeah. I mean, a lot of news, Dave, AI earnings, this new waves coming. Where's the money going to be? I mean, you're on, you're on, you're looking at the charts. You're in, you're breaking analysis. You're doing a lot of work looking at the landscape. You get the cloud native cloud scale going on. Super cloud, you got the edge we discussed. Again, AI will be the wild card in all this, which I think is going to be an amazing thing, notwithstanding some of the societal issues. Startups are emerging. This is the beginning where recovery's come from. So all the action for long game players that are coming into the seed are going to harvest. So again, all this in here in Silicon Valley, certainly from my standpoint, what I'm seeing directly in hearing and observing and reporting on is that there's a kick-ass load of VCs in the trenches. A lot of startups leaning in. AI is obviously the hottest because that brings more of the comp side to it. Blockchain, a little bit different kind of vibe, but overall very healthy. Meanwhile, no one's spending any cash because the economy's in the tank. What are you seeing? I do think, first of all, the economy is very seesaw right now. I've said this the other day, gas futures are getting tanked. Everybody off guard, natural gas. It's like, whoa, we're just slingshotting or seesawing. But I think it's the application of AI that is gonna be a big winner. And I think security is still number one. You got too many players. You got these consolidation trends going on. You got examples like Palo Alto, but there are so many startups right for M&A. So there's definitely money to be made there. But also how AI is applied is gonna separate companies and create new leaders in my view. What are they gonna look like? What do those leaders look like? I think they're gonna create new models of efficiency. I'm thinking enterprise now, new models of efficiency in terms of how infrastructure is managed and deployed and fixes itself, which already you're seeing today. It's how we secure across the networks. And you said this earlier, edge. Edge, huge disruptive factor. And it starts with semiconductors. Arm is the enabler there. It's dominating at the edge. It's got 10x the wafer volumes of x86. And it's got a lower cost, lower power. We talked about power earlier in this whole ESG movement and greening of the network. And new AI inference at the edge is gonna create my view, huge disruption to the traditional way in which IT is done. Well, I mean, a lot going on. We got this Mobile World Congress with theCUBE. That's gonna be next week. You guys are gonna be out there. We saw Tesla news. They're under a lot of pressure with their, the cars, obviously Twitter, Twitter, and that's the whole nother story at all again. I don't have time to dig into that, but you got a lot of new modern evolutions going on, David.  Like as big as the PC generation, that wave. As big as the mobile smartphone, iPhone wave. I think this is an iPhone moment, categorically for AI because there's applications. And I think the chat GPT improves to me that that user interface, the application of how users are using it is that that's the C change. And that's just the front end.  And I think a lot of companies are gonna jump in to make it easier, more efficient, so people can tap the efficiency. And you know, I asked Amar Arwadala to explain it to me in simple terms, like I'm a two-year-old. He goes, it's like Google Maps with GPS. Before you drive the car, you'd be on a map and then you'd have maps, map quests printed out. And then you have GPS on a map and your car does a four, you never even look at a map. The GPS and the map mashup is great. This is kind of what this is getting into a whole nother level of automating intelligence, automating and prompt engineering into the system. I mean, just that sentence alone is a mind-blower. Yeah, and I think there's consumer angles here that can be enormous. And again, I think the IoT, the intelligent factories, the industrial tech, industry 4.0, all of that is gonna be dramatically affected by AI, AI real-time inferencing at the edge in every industry, fintech, much, much better fraud detection, manufacturing. I think you're gonna potentially see some manufacturing move back into the U.S. and or other parts of the world, India, South America. I think retail, new experiences, just being able to visualize what something looks like, which has been relatively poor and that's gonna change the whole retail experience. It's gonna affect every industry, consumer and enterprise. And I think it's gonna be a new wave of productivity that hits. So I think the three things I walk away with from this podcast that we kind of agree on, Rift on was one, Jenner of AI as a top wave, big time, that you have the cloud-scale edge coming into play with massive disruption, the telcos and indicator, but I'd call that the cloud-native continuation of dominance and enabling, again, next-gen capabilities, super cloud-like capabilities, including more AI apps, for instance, that'll look a lot like DevOps, DevSecOps for AI.    I agree with your chat, GPT AI, generative AI, the future of war, the future of industry sort of all fits in there. I think telco disruption comes down to the disaggregation of that stack. It's like the Big Bang and telco, that's just going to open up tons of opportunities. And I also agree with you, public policy is going to become incredibly important. I think public policy could be an enabler or it can be a barrier to national competitiveness. And my concern is that we're constricting the latter.  But again, the unintended consequences of government actions scare me a little bit. Well, I got a lot of good stuff come up next week, Mobile World Congress, we're gonna do a lot of in-studio. We did a lot this week, SiliconANGLE editorial interviews. You can see a lot more video reports to be listening to the pod and watching this pod. You can see a lot more reporting on news that's matters in these areas. We're going to continue to add to more stuff on SiliconANGLE.com with video on theCUBE. So a lot more events coming up, it's going to be a good year for content, sure. And let me just say, if you're at MWC, stop by theCUBE where it stands CS60 right in between halls four and five in the walkway at Congress Square. We got a great setup, it's going to be amazing. So definitely if you have stories or insights, so you see something really cool come by, we'll try to get you on. I'll be in Palo Alto doing live remotes with Dave, you from Barcelona, I'll be in studio doing some reporting and interviews. And also breaking news for us, everyone out there listening. RSA Congress, we actually have space on the floor. theCUBE is going to be there reporting and certainly in studio. We'll be there with the set in media row there up in Moscone in San Francisco and at the end of April for the big security show. So a lot of security, a lot of action with AI. Dave, great to get this pod in. Second one, we've got two in the books. I love it, John, it flies by. And I love doing it on top of my breaking analysis because I've got my clothes on, I'm all dressed up in the studio. You're fresh in the brain, through the RAM, all your topics. The great way to end the week. Well, I like riffing, it's good to put down some of the things we're looking at. And again, if anyone's got feedback about the podcast, we're going to chip away at this, we're going to get our groove swing, I think probably after 10 or so, Dave, maybe 10 to 20 pods will get rolling, get the format down. We'll start bringing in guests, get more news, keep it focused, that was the good feedback, keeping things in chunks, we'll keep getting better. And one viewer at a time, thanks for listening. If you're on YouTube and SiliconANGLE, we're watching and listening. And let us know what you think. DM us on Twitter, LinkedIn, Facebook. We're all, so all channels are open. Thanks for watching.