The following is a presentation of TFNN. The Morning Markets Kickoff with your host, Tommy O'Brien. Good Tuesday morning, everybody. I'm Tommy O'Brien, comedy alive from TFNN. Hold on to your hats, folks. We're going to get a wild open the market, trying to figure out where supply equals demand right now. We got the CPI consumer price indexes for the consumer price index for the month of February. We just got them at 8.30 this morning. Got a little bit of a hot number in the market. Not quite sure what to do with that just yet. As you see the volatility, you get an initial spike lower for a brief moment. You trade up to 52.21 on the S&Ps. We're now giving up about 20 points off of that pre-market session high. You're trading at 52.02. We're positive by 16 points right now. That's a positive net of about a 30% in the S&Ps. NASDAQ 100. You're right back to where you were prior to that number. You see the spike lower, higher. We're right back to where you were before that number. Markets were already in the positive. NASDAQ 100, up by about half a percent. You get the Dow right now, up by about 30 points. That's about 1 tenth of a percent in the positive. And you get the Russell. Flat. Bitcoin hanging out near 73,000. Crude, 77.48. You jump over to gold. We got some volatility in yields. We got some volatility in the dollar index. That's driving the gold action right now. You see the volatility across the board, man. Gold, trading at 21.70 right now. Negative by $17 on the session. We jump to notes and bonds and check it out. So you get the initial thrust to lower price, higher yield. The thinking being we got a hot inflation number. The Fed is going to have to cut less to make sure we tame inflation. They're going to have to keep interest rates higher to tame the inflation that is a little bit hotter and more persistent than the market may have anticipated. You have the tenure trading to lower price and higher yield. You got the tenure yield 4.133, 4.13%. We were at about 4.1 yesterday at this time. So not a dramatic move, but the day is young. And you see the market digesting this number. And then what happens? So we have lower price and higher yield. When you get a higher yield, people are going to chase the dollar in order to secure that yield because 10-year treasuries are only available if you purchase that 10-year treasury in US dollars. So when you have a higher yield in a treasury, you're going to have more demand for what that treasury is denominated in, which is US dollars. Therefore, you're seeing the dollar spike to higher price, more dollar strength on the idea that we might see a little bit higher yield, at least in the near term as we go forward. That is the reason why you get a gold pullback. Now gold's chopping around, dollars chopping around, yields are chopping around. Markets been digesting this number for 39 minutes. And it is still not sure where we should go right now. There's your 10-year action. 111.12 right now, the 30-year, negative by 10 ticks, 12103. We talked about the dollar. We jump over to the VIX volatility index as this market charges higher.  Market was a little bit worried about this number. And maybe that's why you actually trade higher. We've seen the conundrum before in terms of, boy, there's a past life where if we get a hot inflation number and you got yield spike and higher, you would have seen this market tank. Not so much the case anymore. Maybe they were actually worried it might even be a little bit worse. Maybe they're not too worried about the fact that they think cuts are coming in two to three months, regardless. Now the only question is whether we're getting two, three, four sometime this year or something like that. But as we've seen before, the first move is always not the move that carries. We get an opening bell in 20 minutes from right now. We've given up most of the gains you had up to 52.21 in the markets. And yeah, we will see where we go from there. And let's get into some of those numbers. Consumer prices rise 0.4% in February, 3.2% from a year ago. That's your headline number, okay? 0.4% and 3.2% a year ago. The monthly number was right in line. The annual number, slightly hot. They were looking for 3.1. Excluding food and energy, okay? You went up 0.4% on a month and 3.8% on the year. Both one-tenth of a percentage point higher than the market was looking for. I'm gonna scroll down here just to give you a quick idea. This is the CPI. You have all items in the solid line. Come on, get off there. And then you have the dotted line being the core. That's sticky, folks. That is the definition of sticky. Right near 4%, we gotta get all the way down to 2%. The Fed is at a range of 5.25 to 5.5%. So keeping that in mind, seems like they still might have the ability to cut at some point and make the case that they are still in a restrictive policy rate. Nonetheless, it's a hot number, man. And when you get into it, it is a hot number indeed. And getting back to Bloomberg for a second here. All right, and getting into some of the numbers in terms of the analysis they had going on there, it was pretty close to even being 0.3. I wanna get this exact number. It was like 0.358, which is why you get a 0.4% reading. So it was so close to being the number that they expected it to be. And I'll find that at the break as these numbers go pretty quickly here. Yeah, I'll find that exact one I was looking for at the break. But nonetheless, we got a hot number, man. We have yields rising, we have dollar strength. We have the gold contract pulling back and we have the market giving up the gains that it had briefly for one time. Yeah, as the trend seems to be jumping around, keeping our eye on yields, because that's what you wanna keep your eye on right now on CPI day, folks. You get a move, you get a move back and we get a move and just like that, the 10-year is now down about 14 ticks from where we were. And we have the 10-year yield approaching 4.14%. 4.14% the yield on the 10-year. Yeah, and pretty remarkable when you jump around in terms of, yeah, check out Supercore, okay? And this is gonna be the problem, man. Is that gonna get me there? No, that's gonna be a Bloomberg terminal article. 4.3%, a graphical look at the annual rate of Supercore inflation, folks, you want it back to two. We have some sticky things going on to put it lightly in this number. Yeah, Supercore, 0.4% on the month. It was at 0.85% in January, but that's not where the Fed is gonna want it, man, not even close. Food index was unchanged, shelter and gas behind the increase, 60% of the monthly increase in the index, food and gas, that's why Core is such a big different number. Yeah, we'll break down some of those numbers as we break in, but let's see how some of the Magnificent Seven are trading on that number. You got Apple shares slightly in the green right now, up about 25 pennies, biggest company in the world, Microsoft shares this morning, up about $2 to 406.60. You jump over to Amazon shares this morning, Amazon up $2 to 173.35 with the positive market. You jump over to Metta shares. Metta, tough day yesterday as they're in the crosshairs of President Trump, surprise, surprise. Nonetheless, Metta, they get back about $7 of that slide to 490.32 from Metta shares. We jump over to Tesla, Tesla up a bit as well, to 178 and change from 177 and change yesterday. See how some of the streamers, Netflix shares up a bit. We got positive prices across the board, the AI poster board, NVIDIA. There you go, that's gonna be a lift, $17 to the upside to 8.75 from 8.57 from NVIDIA shares. And yeah, we'll go over some of the numbers, but how about Oracle, man? Oracle shares trading higher on their numbers. You talk about some numbers, man. They are gonna open at all time highs and kudos to our man, Mike, from somebody with the call yesterday, Mr. Eric O'Connell. Hopefully I didn't talk you out of that one. Boy, quite a pop higher. They're gonna open right near all time highs. Check it out. Oracle shares at 127.54, you're trading with a bid ask of 127.60 by 127.62. We'll see where that goes on the open as well. Markets in positive territory. We'll get into some of those CPI numbers. When we get back folks, stay tuned. It's gonna be an interesting show. Market digesting economic data, inflation persisting, yields rising, dollars stronger, market positive territory, gold pulling back a bit.  If you're looking for potential trading setups in the stock market, then Rocket Equities and Options Report is a newsletter you should try. 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The number that you're gonna see out there, and this is important to note, rising 0.4% on the month, but you're looking at a number that is 0.358%. 0.358%, okay? So the headline number is 0.4% that you get, but they should really push these out three decimal points because boy, you were pretty close to a 0.3% number. There's no reason why we always see the 1.10%, right? In terms of, come on, break it down to the 100th, break it down to the 1,000th. The number that they should show for core CPI is 0.358. The numbers you're gonna see is a 0.4 number. If it had come in at 0.3, what, four, four, you go down as in so close to a 3% number when you only rounded to that 1.10th of a percent number. Nonetheless, the numbers do come in hot. Shelter prices nudge back down 0.4%, overall services up 0.5%, but yeah, core services, okay? Services excluding rent, for example, were a 0.6%, and the broader core services up 0.47%. That should be interrupted hawkishly, but thus far has not been. So we'll see where the market takes these numbers and goes for it, yeah. So Supercore came in at 0.47, right? Otherwise known as 0.5%, breaking down some of these numbers, 0.47%, month over month, from 0.7% in January, it is coming down, but Supercore services folks at half a percent is not where the Fed's gonna be comfortable on the longer term. And it is remarkable how much information you get all at one time that you gotta break down to. Yeah, girls apparel, how about this one? I was listening to Bloomberg earlier this day. The largest monthly increase in prices ever, girls apparel, 6.8%. If you're out there buying girls clothing, sorry to hear that, you're paying 7% more than you paid last month. What, what is going on there, man? Just remarkable in terms of this market and the price structure and the certain pockets that are exceeding inflation and driving some of the aspects of the headline numbers that we see consistently. Non-prescription drug prices, how about that? Soaring 9.3%, that's non-prescription, the biggest gain on record. Yeah. Now, what they're talking about is you've got more expensive items going over the counter versus being prescription, insurance. We've talked about this one, man, motor vehicle insurance. How about that? 20.6% from a year ago. I told the story here, man, I was paying, I think, 50% more on my insurance policy that just renewed a couple months ago. It was three, four months ago at this point. 50% more almost on my policy. And I shopped in around and I got no luck. And that's not because of an accident or anything on my record, man. It was just straight up inflation. That's it going. And they got a problem, man, when you talk about inflation in motor vehicle insurance. So this one's interesting, okay? The core print was only 3.6% without rounding and the components that drove the beat are likely to reverse in the future. This is an opinion, okay? Particularly airline fares, which were up 3.6% for the month, okay? PCE core should be below 0.3%, which means core PCE is slowly going to decline over the next three months, setting the stage for potentially a June or July cut. That's an opinion that's, let's see. Jay Hatfield, the founder of infrastructure capital management, he's talking his own book there, okay? But there are components here, okay? Where you take out a certain thing, you look at the actual components, you see where the market may go, you calculate how PCE, the Fed's preferred inflation gauge, is gonna do versus the CPI that we just got. Yeah, nonetheless. Year-of-year core falls to 3.8% from 3.9, adjusted for core CPI. The real Fed funds rate increased to 1.7%. Yeah, compared with the Fed model estimate of the neutral rate of about 0.7%. The current policy stance is the most restrictive since 1989, assuming the Fed's estimate for the neutral rate correctly, this leaves room for the central bank to cut rates. I think that is a very crucial fact to consider, okay? The neutral rate, the Fed funds rate, and then how restrictive you are from that correlation, that equation, you could say. Yeah, headline story, inflation top forecast for the second month in February as prices jump for used cars, air travel, clothes, reinforcing the Fed's cautious approach to cutting interest rates, and that is the write-up. That's your headline number. And from there, we see where we go. And we got the opening bell in less than five minutes, man. It's gonna be an interesting one. Bitcoin sitting at 73,000, gold contract pulling back. We got yields spiking higher, the 10-year, 111.10 right now, you're looking at a 10-year yield. Where are we sitting? 4.14%, not a mammoth move, right? Not a mammoth move at all. Yesterday afternoon, we're sitting at 111.16. Right now, we're sitting at 111.11. Yields are slightly higher right now, but it is interesting, right, that what do you have? You have yield slightly higher on inflation numbers. This isn't economic growth, this isn't jobs, this isn't GDP, straight out consumer price index. Consumer prices, they're hotter than we thought, and the market is trading higher. That's when you gotta get your head around, man, and what does that mean? Well, what that means is maybe the market isn't as freaked out anymore as it once was. Maybe they think we're on the path and maybe they're clinging to the fact that last point that I just made, okay, which was the point that they are in possibly, okay, and this is all, the neutral rate is a guess, folks, okay, the neutral rate, the neutral real rate, it's an estimate. You can't do an equation because you don't know all the variables in real time, but if they're correct, then that would mean that the current policy stance is the most restrictive since 1989. So maybe even as the market digest these numbers, even as we get a little bit of a higher yield, what's happening? The market's saying that's okay. 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We've got markets open. You catch a little bit of a lift into the opening bell. S&P is up by more than 20 points right now, trading at 52.07. That's about 410% of the positive. NASDAQ 100, we're up by 115 points. 2.30% of the positive. 18,335. Dow up 111.39,340. And we're like a percentage and a half away from 40,000. How about it? Russell in negative territory continues to perform this relentless market to the upside. Russell negative by two points right now at 2,090. Bitcoin, quoting with all-time highs, just under 73,000. Group price, 77.74 this morning on the opening bell. Gold trading lower as we have dollar strength this morning. You got gold down about $20 at 2,169. You jump over to yields, your 10-year. You've got lower price, higher yield. The 10-year is sitting at about 4.14% of the yield on the 10-year. You're up to 1.0306 for the dollar index right now. Yeah, let's see where the day goes, man. Market's taking this in stride. We're up by 22 points right now. We jump around some other equities. Boeing shares down by 2.6%. Boy, you just gotta roll your eyes, man. Tragedy, regardless. But yeah, the story out there, I couldn't believe it. When I'm seeing the stories, my friends are posting it. Tweet in just my group chat. Yeah, you got a Boeing whistleblower who's literally in the middle of testifying in a trial and he's found that it's like this stuff. I mean, if you talk about, we've all watched enough television, man, to say, really? And the heat of everything going on. Guy worked for Boeing for 32 years, retired in 2017. And some of the stuff that he was talking about is especially pertinent, okay? From 2010, he worked as a quality manager at a North Carolina plant making the 787 Dreamliner. In 2019, he told the BBC that under pressure, workers that deliberately fitting substandard parts to aircraft on the production line, there were problems with the oxygen systems. He was alleging that one out of four potentially of the oxygen systems, in the case of an emergency, would not work, okay? If they were ever deployed in a real life emergency, this is the 787. He also talked about that, yeah, the parts, that they were just literally using some parts, substandard fitting parts, and they could do what he called them then. Yeah, he later told the BBC that workers had failed to follow procedures intended to track components through the factory, allowing defective components to go missing. Well, if you've been following along the story, the fact that they got doors popping out of the plane, the fact that they now have no records about that at all, and the fact that Justice Department has a grand jury going on, okay? They've convened a grand jury for criminal investigation. Pretty wild, we'll leave it at that. Unfortunately, nonetheless, and they are saying it was a self-inflicted wound. They're calling it suicide. That's gonna get some press moves, okay? And probably rightfully so, in light of, either a large coincidence, but what do they say about coincidences, right? You can't help but raise your eyebrows, man. And something like that, when you've got a list of what we're talking about, defective parts, you're talking about quality control, and you've got Boeing down another 2.9% today. We were talking about it yesterday. What did we say? Be careful of Boeing shares, right? It's a very ambiguous term to say be careful, be careful of Boeing shares. So you've got a long way that this thing could go. You back it up on a three-year weekly, 180s to the next stop, and if you trade below 180, you're on your way to 120. Maybe that's where this thing needs to go, as it seems like every single day you open up the headlines, and Boeing's dealing with another story. And nonetheless, we get another one today, this one, pretty much the most tantalizing. One of the most tantalizing, if there's anything behind it, man, we talk about quite a headline in the light of everything else going on. You jump over to Oracle shares on their strong numbers. And yeah, they really talked it up, man. Oracle shares, you trade down on the open to 124.60, you're trading at 127.26.91 right now, you're up by 11.14%. This thing dropping around right in the all-time highs, man. All-time highs, looks like we just eclipsed it on the open. We'll see if we can hold on to it. The all-time high for Oracle shares will be 1.2742. We're just off that price point right now at 120. Yeah, it's remarkable, man, Jeff Zett. This is the Boeing story that had to do it over the weekend, right? This was the quote-unquote technical event that caused a laden plane to lurch downward could focus on software they're talking about now. That was the original thing, it was the problem, right? That was the thing that had two planes crashing out of the sky, it was software. You got 50 people injured, you got 10 people born in the hospital at least. And this is just talking about that story. Yeah, the ceiling of the Boeing plane that suffered the incident was damaged, look at that. Massive damage to this thing, they have problems, man. And then you got whistleblowers that are in quality control. Supposedly kill themselves as they're literally in the middle of testifying, trial. We could spend a whole hour talking about the complexities of that, I suppose. All right, Southwest, they're gonna reevaluate the 2024 guide, let's do two of the Boeing challenges. Going, right? And then, a little pullback in the market right now. Boeing down 3.2 S&Ps by just 10. Jump over to Southwest shares, there's a hit for ya. 11.2% for Southwest. They're looking for a loss in the first quarter. Fewer deliveries of the new aircraft this year and a loss in the first quarter is what they're talking about. Boeing has told Southwest that it should expect 46 deliveries this year down from an expectation of 79. That's a big number, folks, right? Yeah, Southwest said it's cutting its guidance from how much it flies this year and re-organizing schedules for the back half of the year because of the uncertainty around deliveries. So if you're in it, imagine if you're the one buying these planes, you get two options, man. You got Boeing and you get Airbus, right? But boy, the companies that went with Boeing, they're really taking it on the gin right now. And that's gonna have a lasting impact on Boeing, okay? These are headlines and brand, this is gonna stay with Boeing for a while when we talk about it. Look at this, Southwest down 12% right now. The market's giving it up, man. Market is giving it up, yeah. Market's not happy with the fact we're still got hot inflation, man. S&P's are up by five, NASDAQ up by 19, Dow in the red, Russell in the red by 15 right now. And it's continuing, look at Goldow, 25 bucks. But that's gonna be a factor in yields, of course. You got the 10-year spike in lower. Yeah, we got the 10-year yield now approaching 3.15% is where we're at on the 10-year and we're gonna have some dollar strength when we go along with that. That's about one gold to reach 12 right now on that dollar. It's quite a lot, indeed. All right, what else we got pulled up here? Yeah, we talked about CPI, talked about Boeing, talked about Oracle, let's see what Oracle is. They're well-numbered. Well, they had some gangluster numbers, man. They did that chart yesterday, looked like they might be reaching the top of the trend and they blow through that trend, man. They're up by 13% up to $15 to $129.20. They got a backlog of orders and they're getting some upgrades, accordingly, when they come up with those star numbers today as well. They might be the next AI player up by 13%, $129.32 right now. All right, let's jump around to some of those bank stocks and go to Apple shares. Ooh, there's a haircut for you, man. Apple shares down 7.10%, even as that 100 caused Microsoft to catch a lift by 1.2% Amazon shares. To take charge of your financial future, TFNN is your gateway to the world of trading and investing. Whether you're starting out or scaling up, TFNN empowers traders and investors of all skill levels with top-notch investing systems, strategies, and techniques. It's time to protect and grow your money with insight you can trust. Join us live Monday through Friday during market hours for exclusive content that moves with the markets. At TFNN, we bring the trading floor to you. Our seasoned hosts are here to answer your calls and questions live on the air. Check out the Tiger's Den for just $1 and follow us on YouTube and become part of our vibrant community. 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Investing in the funds involves significant risk and should only be utilized by investors who understand the impact of leverage and actively monitor their portfolio. They are not designed to track the underlying index or security for more than a day. Before investing, carefully consider a fund's investment objective, risk, charges, and expenses contained in the prospectus available at direction.com. Read carefully. Distributor, foresight fund services, LLC. This program is brought to you by Vista Gold, traded on the NYSE American and TSX under the symbol VGZ. Welcome back, folks. Hopefully we got some audio issues resolved. Apologies, didn't realize that was going on, but maybe we got it fixed. My producer can let me know. Maybe in the den you can let me know. Hopefully we got a little bit of clarity added to the situation of a market that's trying to find a little bit of clarity on the opening bell. We got the S&Ps right now up by about five points. You got a little bit of a rollover on the open there. And we got the S&Ps trading at 51.90 right now. All right, jumping around to what else we have going on. So it is interesting when you look at, I mean, just look at the first page of Bloomberg right now. When you look at the map of consumer prices, depending on where you are, now what does happen is shelter is such a huge component of the CPI folks, okay? So you look at the areas where housing, shelter has been dramatically on the rise. And yes, CPI is gonna be consistently a hot number. That's one of the reasons actually why the Fed prefers the PCE because it more accurately represents what consumers spend their money on, whether you're the one putting money out of the pocket or somebody else's. Perfect example of that is healthcare costs. Many individuals, okay, don't pay for their own healthcare, yet they use it. You consume it. The personal consumption expenditure, the PCE, factors in healthcare much more dramatically. And because of that, it factors in other costs that are third party, basically, that you consume that you might not be directly paying for yourself, but it's built in to the inflation factors that drive this economy. Therefore, housing is less of a component. It's still a decent component, but less so than CPI. But it is interesting when you look at the map of the country like that in terms of where you are. And I've choked with friends occasionally, being in Florida, okay, the numbers are running hotter. In Florida, and I always make the joke that man, you're in trouble. Yeah, if you're not a landowner, okay, but inflation when you talk about shelter as a driving number, right? It's not as persistent when you look at like the rent equivalent numbers and stuff like that. It doesn't always come in. I mean, part of the component that's driving the CPI number so much in Florida is just the property values. And that's where you see people, whether you're taking home equity lines or credit out to do something, whether you're taking money out of your 401k, people just have more cash available in terms of their assets in some of those states, which is interesting. All right, we jump over to how the journal is put in it. We take a look at CPI. We continue that number on CPI. And yeah, so you're talking about 3.2%. The number I want to get down to here, because we've talked about a lot of these numbers, okay, core was up 0.4%. You take a look at this number, keep your eye on the solid purple line, because that's the one that the Fed is going to be paying attention to. The core is at 3.8%. You want to get back down to 2%, all right? But the most perplexing is at the end of this article. And this is talking about wages and prices changes from a year earlier. So this is a year over year number, okay? You have hourly, let me see if I can make it a little bit bigger, can I? Yeah, there we go. You got hourly earnings in the purple. You got weekly earnings in the blue teal, we'll call it. And then you got the overall CPI in the black. If that's not the definition of sticky, what is, folks? Okay, you can't have the CPI stuck at 3%, weekly earnings stuck at 4%, and hourly earnings stuck above 4% in terms of year over year numbers and get back to 2%, okay? We are in a sticky number right now, and it's going to take longer than the market probably envisioned to get back to the 2% number, but that does not mean the Fed cannot start cutting in the next two to three months. It just might mean that their cutting schedule, okay, might be a little bit slower than the market maybe anticipated. And it's definitely going to be slower than the market anticipated at some of the heights. Remember when we were looking for like six or seven cuts this year? Not so much the case, right? To put it lightly and look at this market, man. Look at this market. S&P's now down by five. We just gave up 40 points from that spike high at 8.45 a.m. this morning. NASDAQ rolls over to negative 40 points, 18,175. Let's see how the biggest equities out there are trading. NVIDIA shares can't hold them down, man. Even NVIDIA is still in the positive. Now, NVIDIA is probably getting a little bit of a lift from Oracle, man, because the demand is through the roof. Oracle with this market gives up some of it. You're still up 11.8%. We jump over to Microsoft shares, still in the positive as well, by about 8.10 Amazon in the positive as well. Look at this. And what's negative in the NASDAQ 100? If you have Meta, Google, Apple, Amazon, Apple's in the negative, right? Apple's in the negative by 7.10.  Pretty remarkable. Let's jump back to the dollar index right now. Continued strength in the dollar index. Yeah, this market taking this in stride, man. So we get a Fed meeting eight days from right now, March 20th, the Federal Reserve. This is going to give them some caution, folks. Okay, we have persistent inflation. We have persistent inflation on the core side. We have persistent inflation on the super core side. And we have markets rolling over to negative price, still sitting at 51.82 in the S&Ps for some context here. Quite a price tag. We are still more than 1,000 points of where you were in October to the higher side, folks. Okay, for some context to put it lightly. But man, quite a reversal on those numbers. And we'll see where we go from there. All right, we'll jump around some of the other equities. I can't help but take a look at, man. Yeah, Boeing's continuing to drop. I mean, 176 is a no-brainer, man. You're at 184, you're down 4% today. It's like everywhere I look, there's articles on Boeing. And I'm not even looking for them. They're just everywhere, okay? I mean, this one out here. The audit of the 737 max production reportedly found dozens of issues. Folks, these are planes. They're supposed to be like infallible, okay? They passed 56 tests, they failed 33 of them. The auditor found that out of 89 product audits that were conducted, 56 tests is what they passed. That's a 56 out of 89. What is that? That's a D. That's gonna give us, let me get it exactly. Nonetheless, right? 56 out of 89 is what they passed. Yeah, that's a 63%. That's a D minus. I don't think you want Boeing getting a D minus when they test their facilities, man. And on the heels of you got a whistleblower dyin, on the heels of you got a plane dropping out of the sky and injuring 50 people. Yeah, so during the six week audit, they also conducted 13 product audits on spirit era systems. Okay, that makes the fuselage for the 737 max of those only six audits resulting in passing grades. I thought they're gonna be like, I mean, the public has a perception that they'd get hundreds, right? Something like that. Yeah, and the market's reacting accordingly. You're down by 3.7%. I would not touch Boeing right now, man. You can see how quickly this thing can trade down to 110 in a heartbeat. And it seems like they're in much more trouble right now than they were when this equity was down at 120. Because do you as an airline wanna be the next Southwest relying on Boeing? When you wake up and you tell the world that, guess what, we're gonna get almost half the planes we thought we were. We're gonna have to cut schedules. We're gonna have to pull back. We're gonna have to lower our guidance and shares go down 13% because of Boeing. Because the deal they made with Boeing, relying on Boeing as a partner in Boeing is continuing to struggle to put it lightly. Southwest down 13%. Yeah, we're checking on some of the other airlines. JetBlue down about 5% right now. Look at this, man. Delta down 2.2% right now. Yeah, it's not stopping, man. United Airlines down 4.2. Airlines in trouble no matter what it looks like. With the S&Ps down 151.83 in that market. The video shares are in the positive. Pretty remarkable. Let's check in on Disney. Disney down about half a percent. We do have some Disney in my newsletter, folks. Pushing highs yesterday on a little bit of a weak market, nonetheless, Disney at 1.1172. We jump over to Netflix shares as we come into this final break. Netflix shares down about half a percent. S&Ps are flat. One more segment, folks. We'll talk some equities. Don't go away. Gold report. As a precious metal, gold is still king. It continues to hold the most effective safe haven and hedging properties across the global major trading hubs of the London OTC market, the US futures market, and the Shanghai Gold Exchange. The gold report. Tom O'Brien publishes his weekly gold report every Monday morning for subscribers, consisting of coverage of the XAU, HUI, GDX, the Dollar, Bonds, the South African Rand, as well as 25 different mining equities with specific buy-sell recommendations. The gold report. 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That's TFNN.com and hit WatchTigerTV. Folks, we got S&Ps up by five right now. NASDAQ by 13 can't help just watch Boeing continue to trade lower, man.  We get back to the markets though. S&Ps barely in the green. How about some volatility, man? Those are one-minute bars. Just to show you the spike we had this morning, the spike higher at 8.45. You trade right back down to 51.80, which is within a few points of where you got at 8.30 right on that number. We're just off that price level of 51.91. You jump over to the yields. Yeah, pretty similar action, right? Right back to the spike low, we're at 111.08. You're pushing 4.15% the yield on the 10-year. That's giving some strength to the dollar. You're at 103.10 right now on the dollar. And that's gonna bring some toughness into the gold market. Gold down $23 at 21.65 right now for that gold contract. And taking a look, as I was talking about, okay? Shelter and gasoline. We talked about shelter and I was making the joke, right? That as an owner of a property in some of the states where property rises have risen the most dramatically. Florida, one of them. What you have happen at CPI, especially in CPI, okay? Is that you have owner equivalent rent. It's a made up number, okay? I'm not paying rent as an owner. I'm paying my mortgage that I locked in that was at 3.75%. But if I had to pay owner equivalent rent, right? That's a theoretical number that is actually not there in reality, okay? Nonetheless, shelter and gasoline contributed over 60% of the overall monthly advance, right? Prices also picked up for used cars, apparel, girls apparel, 6.8%. Insurance and airfares, okay? Now, shelter prices, the largest category within services climbed 0.4% slowing down from a big month in January. The same was true for owner's equivalent rent. That's a subset of the shelter category, which is the largest individual component of the CPI, the shelter category, okay? The metric which tracks hypothetical rents paid by homeowners, right? Suggested a methodological adjustment was a large factor behind the robust reading in January. The rent of primary residence rose 0.5% the most since October. It's an interesting market. Look at this market. We're back up by 15. Stay tuned, folks. Basel Chapman's coming up next. We got a wild market. Stay tuned for Basel. Stay tuned for everybody else, folks. Have a great Tuesday. We'll see you tomorrow morning. Thanks so much, everybody.


Item No. SCP-131 Object Class Safe Special Containment Procedures Those special safety procedures are to be taken with SCP-131-A and SCP-131-B. They are free of travel about Site-19, so long as you do not attempt to enter any restricted areas or attempt to leave the facility. Casual contact with the subject is permitted, but it is recommended that such contact be kept to a minimum to prevent the creature from forming an attachment to personnel. Hourly tads are to be kept on subjects at all times. Failure to account for their presence at these times constitute a level 1 lockdown situation. Any report of abuse or mistreatment of the subjects will result in harsh reprimand. Description, SCP-131-A and SCP-131-B affectionately nicknamed the iPods by personnel, are a pair of teardrop-shaped creatures roughly 30 cm or one foot in height, with a single blue eye in the middle of their bodies. SCP-131-A is burnt orange in color while SCP-131-B is mustard yellow. At the base of each creature, the wheel-like protrusion which allows for locomotion, suggesting that the creatures may be biomechanical in origin. The subjects can move surprisingly fast coming over 60 meters or 200 feet in a matter of seconds. The subjects however lack a braking system, which has led to some rather spectacular, if not overly amusing, mishaps involving the creatures. The subjects have also shown the ability to climb sheer surfaces that have gotten lost in the air vents on more than one occasion. The subjects seem to have the intelligence of common house cats and are insatiably curious. Most of the time they simply roll around the facility, observing personnel at work and catching peaks at other safe-class SCPs. The subjects seem to be able to communicate with each other via untranslatable high-pitched babbling. The subjects have never been observed to blink, even in laboratories when the subjects have been videotaped for over 18 consecutive hours. The subjects seem to respond well to any affection given to them or quickly bond to the giver of said affection, much in the same way a puppy bonds with a human being. They will follow anyone or anything they've made a bond with anywhere, even in normally restricted areas. Although curious, the subjects can sense danger in their general vicinity, and if the object or their bond begins to approach something to register a danger, such as Euclid or Keter-class objects, they will swarm around their bonded companion's feet or appropriate extremities, while babbling in a panicked tone as if to warn them. Because of the daily dangers faced by Site-19 staff in dealing with Euclid and Keter-class objects, it is recommended that staff avoid making attempts to bond with the subjects, as it can pose a distraction during delicate operations and experiments and may pose a danger to the subjects themselves, see Addendum 131-1. If the subjects are ignored by their bonded target long enough, they will eventually lose interest and return to their normal activities. It should be noted that the subjects require no real care or maintenance from Site-staff. They do not eat, leave droppings, or even sleep. It would seem that the only sustenance they require is visual stimulation, although this requires further study to verify. Subjects SCP-131-A and SCP-131-B were founded at Cornfield, outside ██ in the year 19██. They were promptly transported to Site-19 via ██, and were then demigrated to safe class and given free reign across the site once it became clear they were not broadcasting what they saw to any hostile foreign powers. Addendum 131-1 During an incident that took place on ██, the subjects followed one of the cleaning staff on a routine cleaning of the container of SCP-173. After their normal attempts to warn the cleaner of the danger were ignored, the creatures rushed into the container in front of him and the other two personnel on duty. Once inside, the staff members observed the subject sitting in front of SCP-173 and watching it intently, as if aware it could only move uninserved. The cleaners ignored the presence of the subjects and continued with the biweekly cleaning as per standard procedures. When the cleaning crew left, the subjects did as well, rolling backwards slowly and never taking their eyes off of SCP-173. Current applications of SCP-131-A and SCP-131-B as wardens for SCP-173, and perhaps other SCPs which require constant observation, such as SCP-689, are being considered.


Good afternoon, everyone. Have you had enough coffee and food and everything, water stretched? As he mentioned, my name is James Wiley. We are going to talk about AI, kind of what now, what next. But before I start, the big burning question I'm sure you all have in your mind is, yes, I do always overdress. I'm convinced that I was born in a tuxedo, which is very important for me, because it was a great day. So I was born in a tuxedo. So I always overdress. So please excuse that. It's not like I'm excessively formal. What we're going to do today is going to dream a little together. It's going to be a little bit different with this discussion. It's going to be less about the specifics of AI and more about what AI can do for us in the long run, in terms of education and the workforce, and also what paradigmatic shifts are coming up. What do we need to pay attention to?  And that's going to be at the end. I have very many slides. I've got 18. So I hope there'll be some discussion after it. But remember, we're going to talk more broadly about AI, the student journey, et cetera. So we basically have four big sections. I'll talk about the introduction, about who we are in this tech. There'll just be one slide. I'm not looking to sell anything to anyone. Just want to give you some context about who we are. Then I'm going to talk a little bit about the timeline of AI, just to put it in context. About the three big portions of AI we see artificial intelligence, machine learning, and deep learning, a subset of which will be what we now know as generative AI, et cetera. And then talk about the current state of AI. And the data I'll show here is primarily US data. But it still gives us some insight into what people are doing when it comes to implementing solutions with AI in higher education. And then here comes the dream part. This is when we start talking about the future, what it looks like going forward, et cetera. So who are we? Basically, we're a research firm. We collect data around, and here are the different data points that we collect, and we track them. And we try to draw inferences and connections and patterns between these data points to kind of further understand data, not just for higher ed, both for K-12, and not just for North America, but internationally. So that's essentially what we do. We kind of look at all of this data, all of these points you see here, and we say, what does it all mean? Are there any interesting things we know? Like, what are the key drivers for implementation? What are the associations? One example is, what are the tech stacks that people are deploying? Why are they choosing Moodle and not Moodle? Those are the kind of questions we look to answer looking at our data. So that's it, sales pitch done. We're all set. So AI right now, discussion of AI, is probably the worst drinking game in the world right now, right? If you took a shot every time someone said AI, you'd be in the hospital in about a half hour, right? So just to put some context about what I mean when I'm talking about this, right? There are three big things that started in the 50s with Alan Turing, Cambridge, and it began just artificial intelligence mimicking humans so that a human couldn't tell a difference between a human and a machine. That was the original version. Then it deepened to what we call now machine learning, well it's got a lot of algorithms that help us predict. Deep learning, which plays neural networks, large language models, et cetera, to undercover patterns. And a subset of that, primarily here would be the now almost infamous chat GBT, right? We still have a long way to talk about chat GBT. I usually judge the measure in which a technology term goes out of style, whether my mom's asking me about it. So she's not asking me about this yet. She's still worried about Alexa and Siri. So we've got some time here. We probably got another 10 years while we talk about chat GBT, but essentially this is what we're talking about right now. But to be clear, sorry, this is the panic people have right now, right? When you talk about chat GBT and everything, everyone's like, oh God, the horror. I was talking to an institution not too long ago and all the faculty members were worried about being supplanted, right? The idea with AI, chat GBT particularly, wasn't gonna supplement them. It was gonna supplant them, right? We have other problems around chat GBT, worries about bias, misinformation, et cetera. We have concerns about it at the national level, global level as well. But the overall state right now, I think, is one of anxiety and terror, right? There's some people getting beyond it. I know some of you are, most of you are, not all of you are, but right now when I talk to people in the field, they're still here. They're still worried about this, but what does it mean, et cetera. But the thing is that AI has been around for a while. If we look at our data and we show that people have been implementing AI solutions, particularly around machine learning for some time, they've been implementing solutions not involving AI at a faster rate, right? That's the dark blue, I mean the bar at the top. But they're primarily working about machine learning. There's a lot of stuff going on machine learning. Some of it, when you talk to vendors, is really not machine learning. It's just fancy algorithms. It's not learning in any way whatsoever. It's just great math. But there are, in some cases, machine learning. And here are the big key use cases, right? There are five that are happening in the US right now. First starting from the top is admissions and enrollment. How can I improve my enrollment funnel? How can I target students better? How do I know which students are the best fit, best match? That's one use case. The next is advising. How do I identify at-risk students and target interventions and other activities to prevent them from dropping out? Then this retention, what doesn't go through the advisor, is just someone else says, here's the data. You gotta talk to the student, et cetera. Let's go. Incessant integrity, which I call, which is proctoring, and you see some of our colleagues out there talking about that. That's a big use case right now. And then teaching and learning. How can I improve teaching and learning? And that's what we've been discussing here, right? Yesterday, today, and we'll do tomorrow. How can AI be used to improve cost content, searches, et cetera? These are the big five use cases right now. There are others that are coming into play. How to identify alumni for enrollment, things like that. But here are the big five that we're seeing in higher education, particularly in the U.S. right now. So what's the future state look like? This is where we dreamed a little. So this thing here on the left, I'll dive into more, it's called a foundation model. The term actually comes out of Stanford, Stanford University in California in the U.S., and the idea is that, well, we have at the core of this model an AI engine that can ingest, taking different sources of data, right? Taking texts, images, et cetera, and it can adapt, interpret and adapt for downstream tasks, right? No downstream task here, case, would be question and answering, image capturing, et cetera. We talk a lot when we talk about AI about those downstream tasks, right? That's what we talk about, AI in this particular area, AI in this particular area, in this particular area. But what Stanford and others are arguing is that that kind of misses the forest for the trees. Really, this is a paradigmatic shift that's happening. This is for the first time in history, we have a model that can take in almost unlimited types of data, unlimited amounts of it and analyze it, interpret it and deliver it to go for downstream tasks. Now, there are four things that use to characterize this model. Well, two, I'll add two. The first is that it's emergence, meaning, and this is kind of scary, given the power of the model in the middle, the power of the AI, and it's essentially largely a black box, uses emerge as we use it, right? We have data, we're like, oh, wow, that's interesting. Didn't know I could do that with it, right? That's kind of scary, because we don't have technology to do that. Usually we build technology for purpose, we might accidentally find it does something else, but this model, this approach says, emergence is key, right? It's going to happen. The second is homogenization. What's going to happen is you're gonna have a lot of vendors building something to support this, and you'll start using more and more similar models to produce these downstream tasks. And what we're seeing right now in the industry, if you look at IBM, if you look at Microsoft's 10 billion US dollar investment in open AI, AWS, they're building platforms to support this model. That's what they're doing. They're not building for the downstream task specifically, they're building for that, right? Third thing is that convergence. What's going to happen is that a lot of technologies that are built on these will begin to share functionality, right? If you have a business intelligence solution, analytics solution, and you have an LMS, you're like, and they're both built on this, just put the analytics functionality into the LMS. I have two solutions, just have one, right? So I'm gonna converge. And the last, which is important for everyone here, is that it democratizes it. This is a technology that allows you to build on it. You can build on this stuff right now. Low code, no code, great code. You can build apps on this right now. It opens up technology, it opens up AI for anyone to build. Right now I'm sure there's some kid related to my, one of my son's friends is probably thinking, got it. Let me just see their building stuff on something right now, you can build it. So emergence, you learn as it goes along, you go, aha, didn't know that. Homogenization models become similar over time. Convergence technology begins to share functionality and some technology, some products may go away. And then last democratization, you can do it, open it up, make sure it's. So this is an example of what they said, what Stanford wrote about in education specifically. So it has on the left, the different teaching materials, interactions, things we're learning about how students interact with things, subject matter, content, et cetera. It trains on that and it produces, will they argue, four, five, sorry, big things. Understanding the student, which we're learning a lot with learning analytics, we're learning that kind of stuff. Understanding educators, like what are their strength weaknesses through course evaluations, et cetera. Understanding the progression of learning, how students are doing in the classroom. Understanding actually the teaching. I was a faculty member adjunct for three years. I have literally no idea how well I did. I could have been horrible or not, my evaluations were great, but that's probably because I was the same age as the students and they felt bad for me. I really don't think I was that great of a teacher, but no one would know. This is the kind of data you would put in and you would begin to say, okay, let's align cross-evaluation data with student performance and what does that tell us, right? And then the last is kind of understanding the subject matter a little bit more. Allowing us to take this content and draw parallels and connections between different types of content to make that visible to the student as she progresses on the student journey. So these are the five areas that they argue the big tasks and goals and I'm gonna add some. The first is personalization. I was talking to a vendor once about personalization. I was like, does your LMS, it's not moving, by the way, it's one of the competitors. I said, does your LMS offer personalization? He said, yes, absolutely, a student logs on, her name shows up, remembers her preferences, et cetera. I'm like, that's not personalization, right? That's nice, nice to have, but it's not personalization. That's glorified mail merge, right? It's not great. Personalization is characterized by one thing called bidirectionality, meaning on the left is the person. That person is searching, navigating, accessing information. On the right is the solution. That solution is understanding, recommending, adjusting, identifying, suggesting. If you don't have both of these, and in the middle is the interaction point. If you don't have these, you don't have personalization. You simply don't. AI can help us on the right. It can power the right-hand side of this. It can actually help us understand more. What searches, what recommendations, what do you really want? What's the pathway? You could provide more adaptivity over time. This one here is also the journey, right? And this pertains also to the workforce, okay? We see this, you know, we think that higher education is a single trajectory, right?  But really it's more like a highway with pitfalls and traffic jams and roadblocks along the way. You need to adjust along the way. We don't really have structure in place to do this. If you think of transfer students, for example, it's challenging. Adult students coming back into the education market, they need to kind of figure this out. They need to know, how do I understand my decision? How do I design it? What else, what information do I need to add, augment to it? What's the best outcome, right? What's the what-if analysis, right? What's the best outcome in terms of career, course, money, et cetera? What's the pathway to get me to my end goal of being, let's say a doctor from where I start? What's the pathway to get me there? And then eventually along the way, auditing my decision to see if I'm making the right steps. Surely an AI-powered foundation model can actually help with this, right? Because what he's gonna understand is, it's gonna weigh all the pros and cons for you, it's gonna get all the content, make that visible to you, and help you make the right decision going forward. So I see this as a big area, where AI can actually, another big area, where AI can actually help, but this foundation model can actually help. Engagement, this is a big thing people talk about with digital content right now. It's around, we assume that it's kind of, I build the content, they will come and they will be engaged and ta-da, that's it. But you know, and then we track engagement, usually in terms of usage stats, did they log on to the LMS, did they not, et cetera. But in between that, would you not want to know whether the student is actually clicking through, actually engaged, scrolling, et cetera. How do we improve engagement? Because studies have shown, and this is one of them here on the screen, that engagement leads to belonging. As we know from the 50s to Tinto, it belonging leads through, leads to retention. There's a link there, right? If a student's more engaged with the university there's a hole, particularly with content that student is more likely to persist and go through. And also to achieve and have better success. So understanding engagement is the third. So again, I said I didn't have many slides, I just wanted to open up for discussion, but just to sum up, yes, there's a lot of panic and discussion around AI right now, but it's been with us for a while. It's been with us for quite a while. Primary use cases, admissions, teaching, learning, advising, retention, and proctoring, cheating, et cetera, assessment, integrity. I cannot emphasize enough the foundation model that I think we can talk all day, and we do, about the unique types of AI, tools that are out there, and the features and functions. But the model, the foundation model, which is coming, right, is key, because it's gonna change the way AI works in our world. It's gonna basically say, give me anything, right? And I'm gonna analyze it, interpret it, and you pick the downstream task, knock yourself out, right? You pick an app, knock yourself out. Microsoft is probably closest to this right now, with its architecture, built on Azure. That's not a plug. I wouldn't mind if they paid me for it, but that hurts my integrity. My wallet is more hurt. But the thing is, Microsoft is closest, Google is getting there, IBM is getting there, AWS is getting there, they're building something to support that very type of foundation model. And again, it's homogenous, it's gonna homogenize the models. It's gonna teach us things as we go along, we didn't know what it does. It's gonna allow us to converge technologies, and more importantly, because I know a lot of you like to, you know, I was at Moodle Community, not too long ago, a lot of you like to kind of configure and extend and work on things, and this is gonna help, it democratizes all of it. Basically, it's gonna be open source, you go. So with that, I'll just stop and open up for questions. No questions? Was that that convincing? That can't be right. I mean, that cannot be the way. Or I was that confusing and you're still trying to work through it. You mentioned four big companies that were working on the foundation model. Is it more important to select the right company to work with, when you mentioned Microsoft, Google and all that? Is that gonna be a game changer for which company you're associated with? It's an interesting question. I think so they're building the infrastructure to support a foundation model. That's what they're doing. The great question will be, what's their differentiator? And right now it's unclear. Microsoft is differentiated only because of its close relationship with open AI. That's pretty much it. Right now.  AWS is there as well. I think the big differentiator will be, how easy it will be for you to build stuff on it, to build apps. And also, whether it's free or not, I mean that's gonna be another big key that's there. The big players are aiming right now for vendors to build on this, but you can do it right now. That's what they're doing. So the differentiation will probably be, who's ahead in the game right now? Who's got the more powerful infrastructure to support a foundation model? And the second will be, well what can I do with it? And the third, how much does it cost? If anyone tried to use Amazon, AWS, the pricing model requires an advanced degree in calculus. Cause you're like, I have to figure out how much I'm using, which service I want, how many cores per server. It's kind of insane, right? So just give me the price, right? Just give me the price. He's nodding. You felt it before. Just give me the price. And I think they're gonna come up with a pretty much a flat fee to kind of allow you to use it. So it's gonna be something along the lines of Google Colab, which is basically an IDE that allows you to code in it. So in your talk, you're mentioning a lot of positive predictions for the future, right? But a lot of this initial sort of panic that everyone is experiencing is because most of what everyone is seeing is this is gonna end society in the way that we know it. And so sort of, what are your, you're making a lot of positive predictions. Do you have negative ones? And what are they? I do. I put them in a different version of the slide and I took them out because I didn't want to freak everyone out. I think there are basically three. I think one is the fact that we have to realize that generative API is a GEPTO AI. I think started, stopped in 2021 and doesn't really know anything after that. I think that was the last year of the data ingested. We're gonna run out of data for it to ingest, right? So one big fear is whether the technologists will begin to just feed it AI generated data. So basically just doing that. This will be just learning from something that's already produced. That can have negative consequences. Because all the biases and problems inherent in what it originally produced, they just repeat it later on. So that's one. Two, I do think the misinformation and bias is a big issue. But I do worry, here's the biggest one is that when you, I was watching an interview with Sam Berkman, I'm not from OpenAI. And he's like, a lot of us don't even know what's in this thing, right? So if you wanted to have your fears calm, you're like, hey, tell me what is in it? What are the inputs? What are the weights? How are you doing this? They can't. If you look at some of the machine learning models that some vendors out there use to predict retention, they don't know what's in it, right? You know, they can't tell me I've been doing this for 20-some odd years. I've asked them, tell me what's your model? And they can't tell you. I can't even give you the broad outlines of it. Like whether, so I'm like, so how do you know that you're not producing false positive or false negatives? How do you know that? You don't know if your AI machine learning engine is producing African-American males or a subject of dropping out for 10 years in a row. You're like, is that fine? I mean, that might be true, but doesn't it raise a flag? So I think the running out of data to adjust is gonna be a big thing, but we're not quite there yet, but we might be soon. The second is gonna be the bias and misinformation is big. And the third will be, when an institution says, many of you, says to a vendor say, hey, I got a bright new shiny AI tool, and you say, hey, what does it do when they tell you, you've all seen the slides, right? The slides and it's awesome. It's a drop down that you can read this stuff and predicting. And you're like, so how does it do that? They just shrug their shoulders. Most famously, I talked to, I remember IBM a few years ago about Watson and we've all seen the wonderful commercials about Watson. And I said, tell me what Watson does. They're like, it's artificial intelligence. I'm like, got it. What does it do? They're like, it's artificial intelligence. You're like, where are we going now? The idea of opening it up a little bit to at least give all of you some insight into what's going on, I don't think they can do yet. They couldn't do machine learning and it's gonna be much, much harder with Jack GPT and with the foundation. So those are the three fears I'd have. Thank you. Hope I didn't freak you out though. But thank you for calling me on it. You were like, hey, stop cheerleading. Well, thanks for dreaming with me for a little bit here. I appreciate it. I know it was just a little bit different than a person who did a great job before and some of the other things here as well in terms of more precise action steps about mood only, et cetera. This is a little bit more philosophical. That used to be a philosophy major and a little bit more kind of insane. But I appreciate it and thank you very much for your help today. Thank you James.


Man, Tears of the Kingdom hasn't even really been out a full day officially I suppose, or I guess for some of you guys it has been, and already the director of the game is talking about the future of Zelda and how he basically knows what he wants to do or has a pretty good idea of what he's going to do for the very next game. We're talking about the guy who directed Skyward Sword, directed, well, Breath of the Wild and Tears of the Freaking Kingdom. We also have a few other little tidbits to throw in there for some Zelda news today, and man we actually have a ton of news I got way behind today because of course I've been playing Tears of the Kingdom you guys saw a 10 hour livestream, we got to find a way to balance those streams with the news folks so forgive me while I'm trying to sort out the best way to do that because I want to make sure I'm playing a good chunk of the game in front of you guys originally planned to play all of it I think at this point I'm just going to plan to play big chunks of the game but I'm still going to play on my own and then make sure that I'm getting news videos out along the way because we didn't capitalize on any of the massive amounts of news we there's so much Nintendo news out there right now I'm a little overwhelmed so this is what you're going to get today we'll have some more new videos tomorrow but before we get into it I just want to remind you we are in our road to 133,000 subscribers so I would appreciate if you drop a like and subscribe to the channel now let's look at this stuff when we're talking about the future of the series so I'm reading this over on Go Nintendo and it says the legend is all the tears we're going to write on switch less than a day ago and we're already talking about what's next for the franchise it's going to be obviously years but according to Zachary Small of the New York Times he said it seems likely that Fujibayashi already has plans for the next Zelda game though he hasn't even told Aonuma about it yet now Zachary Small was actually chatting with Fujibayashi and was doing interviews and while this didn't come up specifically in an interview it sounded like it was a casual conversation they were having and so yeah basically Fujibayashi told I already know kind of what I want to do for the next game I got my ideas I haven't told Aonuma yet though it's kind of crazy since Aonuma obviously asked to approve of everything but Fujibayashi has clearly been proving himself over the years he's proven to be somebody that we really have to respect and you know what if he's already got ideas it does kind of make you wonder and I haven't beat Tears of the Kingdom yet but it does make you wonder hey man is he trying to make another one like this is he going in a different direction I guess time will tell now we have a few other stories out here related to Zelda first on Tears of the Kingdom there is somebody who has well speedrun the game I mean no surprise speedrunners get on it all the time the current record is just 94 minutes we found this out again thanks to Nintendo life and it's from Zelda speedrunner at Mr. Gymnast 86 the entire speedrun is on YouTube now you might go man 94 minutes what the hell well speedruns there's a lot of different ones there's 100% runs there's any percent there's no glitch etc this was a any percent run which means anything goes you just need to see the end credits roll so they were able to pull it off in 94 minutes I didn't watch any of it because you know I don't need all the cutscenes and a whole bunch of things spoiled for me before I get there but it is really impressive at least for now obviously it's at 94 minutes now I wouldn't be surprised that this is under an hour before the end of the month now for other news out there the ascendability actually started out as a dev cheat code this is kind of interesting because the director Hitamaru Fujibayashi did an interview with Polygon and where he said I don't think we've shared this anywhere else but the ascendability was actually the result of a debug feature that we have in the game when I was exploring the caves I would get to the destination where I was trying to get to and once I checked it out I would just use the debug code to get to the top and I thought well maybe this is something that can be usable in the game and it was right around that time that Mr. Aonuma said it's a pain to go back and to be blunt and honest cheating can be fun so that's why we decided to drop it in there basically they were going to make you do a lot of backtracking and they're like hey you know what if we don't even want to do that why would the player so let's throw that in that's really cool and I got to say having played the game I'm super super excited about that other little fun notes about Surrounding Tears of the Kingdom's launch it's Xbox and PlayStation both shouted out uh the thing Xbox Portal 3 said it's going to be back in Hyrule congrats at Nintendo America and Tears of the Kingdom PlayStation tweeted out have fun up their highly ends it's very clear that this is being treated as not just your average game you might wonder how can Nintendo dare charge 70 dollars for this game and this because this game is different it transcends platforms even though it's a Nintendo exclusive it is a game of the year level game and you can see why maybe Nintendo thinks you know what there is something special about our Zelda releases maybe we should be treating them as more premium and so whatever excuses you want to give hey man people are playing and people are loving it now a few other things are going on obviously the director of Final Fantasy 16 went on a live stream today with a Zelda OLED switch shouting out Nintendo and the team as well Final Fantasy 16 is another game of the year contenders so I mean this is just this is just absolutely insane I could get into a whole bunch of other news stories we have out there but instead what I'm going to do because these are the news stories I feel like need to be saved for more dedicated videos I want to actually just give you guys my initial impressions my first impressions I would say of the game so far so the abilities love them you know it took a while but I would say I basically figured out Masterhand and sort of how the movement works with it it is really wonky at first but then you start to realize how the accesses work in a way to move things the way you want and look it's a little weird at first but it does get useful now I haven't done a lot of like major builds and flying machines all over because I want a flying stick and I haven't come across one yet I haven't gotten one out of those little gumball zone eye machines so you know I know it's coming and when it's coming that's when I'll start building my super elaborate flying things I want to build but beyond that what I'm really looking you know we're really looking back on today's play session you know about 10 hours is I don't think the starting area is as good as the Great Plateau but I think the story is leagues ahead so while I do think the Great Plateau is still the literal best opening tutorial in gaming history and I'll just say that this one seems to just basically take notes from that but doesn't necessarily do it better I think the Great Sky Island is really good it's just after you're following up something that was literally the best in gaming history I don't know that it hits the same and that's okay it doesn't really need to because the Brux of the game is really what's happening below but I do love the story setup that happens during that time and that to me is really cool now what was a relief to me and this is where people were getting to the whole 70 dollar dlz thing was oh it's the same high rule and it is the same high rule in many many ways we have the same you know some of those same locations and lots of same stuff also I can't tell you how excited I've been re-exploring high rule and I just completed the game on master mode the other day you know like Monday so I've been playing a ton of Breath of the Wild daily and maybe it's because I played a ton of Breath of the Wild that lately that when I dove in the tears of the kingdom all the differences became that much noticeable to me it almost feels like high rule has been completely reshaped and I know that's weird because it hasn't been but having just spent all this time playing master mode and now diving into this it just it almost feels like a new world it's not it's familiar but it it's weird like the characters are older there's weird things happening all over the place there's the Koroks are just sitting around with backpacks all over I look it's oh man I I'm having a blast and I will say this I went to the underground I spent a nice chunk underground and I had a hard time leaving the underground because there's so much to see and discover and collect like you like some of the the best weapons some of the best armor pieces some of the best of you know even like some of the best items to fuse with your arrows and all that are underground see like you're trying to spend all this time under there but also you can kind of get your ass kicked because frankly the underground especially early in the game I don't know what it's like late game but early game is kicking my butt and it does appear to be completely open so the underground looks like it might be the size of Hyrule and that that is oh boy I'm I can't say that this game is the best game of all time that it beats Breath of the Wild what I can say is there was a moment that happened organically while playing the game this was in a forced story moment or something this was an organic thing that occurred where I fought an enemy that I have not seen once it's awkward enough time like uh and when I say enemy we're talking like a mini boss fight uh my mind was blown it completely like I'm someone who was paying attention to some of the leaks and this completely caught me off guard which is one thing to remind people out there that there is so much to see and discover in this game like let's say you put 40 60 80 hours in and you beat the story and you're like yeah I know what this game is and it disappointed me or is this like I saw some people say you know this game couldn't take six years I beat it already hey hey guess what do you know how much there's to discover it's not just about 100 and getting all the Korok seeds and doing all the dungeons and you know doing all the shrines and all of that sure that's part of it do you have any side quests there are do you have any natural discoveries there are oh my gosh it is mind-boggling and when you know one of the normal complaints with Breath of the Wild was enemy variety that is just not a problem here at all I have seen so many different enemies like I'm to the point that like oh yeah I'm still seeing some Pokemon and some of this but also seeing so many like it's oh man this game guys this game so I can't put it ahead of Breath of the Wild because I don't think it's fair to even come to that conclusion at this point there are things I like about Breath of the Wild better than this so far but there's also things I like in this better so I think the whole unlocking the map situation is way cooler here than it was in Breath of the Wild anyways make a big splitting straws all I know right now is I'm really loving this game and I'm curious for you to give your first impressions not final if you're somebody's beat the game keep it to yourself your first impressions of the game I'd love to hear that down in the comments below you guys are awesome and maybe I'll do a whole dedicated video on this after the weekend I feel like I want to spend the weekend I want to get a really good chunk in and I'll then maybe we'll give you a solid impression video later guys


So we're here at Marvell and you're launching a new solution here for Wi-Fi. That's right. Hi, this is Jawaz from Marvell Semiconductor. We have announced today Marvell 8997 chipset, which is a 2x2 11ac wave 2 combo in 28 nanometer. It also supports Bluetooth 5.0 technology. It's the smallest most power efficient chipset, which is going to go into smartphones, tablets, TVs, gaming, set up boxes. So, you call it AvaStar. This is your Wi-Fi? What is that? Yeah, so AvaStar is our family of products for wireless connectivity. So today we have AvaStar 8887 and 8897 products, one by one AC, two by two AC. Again, going into all kinds of computing devices, mobile devices, gaming. Going forward, this will be a new chipset, 8997. Again, AvaStar family, you know, going into all these different market segments. Is this an ARM processor? What is this? This is based on an ARM core. It has an integrated ARM core. Do you say which one? Is it Cortex-M or what is it? It's a Cortex-M series. So, and then what is the trick? What is Marvell really doing in this kind of chip? I think the trick really is that especially, you know, the new feature about this 8997 that it's built in 28 nanometer, which is a very low-power process technology, and we're able to reduce the current consumption by over 40 percent, which is a huge reduction in current consumption for battery operated devices. All right.  That's right. So you are in Chromebook with the higher, the high sense. That's right. The Rockchips 3288, and so you provide their Wi-Fi and Bluetooth? That's right. So, Marvell today has a leadership position in the Chromebook space. Today, we are shipping on Samsung, Acer, HP Chromebook, and recently Rockchip based Chromebooks also, high sense and higher. So basically Google has it as a condition that the Chromebook needs to have a good Wi-Fi, and so you can't just go with a cheap, bad quality from somebody else. Is that it? That's right. I mean, I think we have we have always been in the leadership position, you know, the Google Chromebooks, we are always first to qualify. You know, they have certain requirements to qualify for the Chromebook. You have to be a stable, good Wi-Fi. Is that it? You have to have a robust connection, you know, solid quality Wi-Fi, you know, good Bluetooth, overall performance has to be excellent to go into these devices, because these Chromebooks are all about, you know, cloud connectivity. So Wi-Fi has to be super good. This is really important. And are you the best? We are absolutely... How's your competitor? Well, usual suspects, you know, we have the Broadcom is out there, Intel is out there, Qualcomm is out there. We beat all of them in this... You beat all of them in what? In when it comes to Chromebook performance, you know, in Wi-Fi, you know, being first to qualify on Google Chromebook platforms, we are number one. So it needs to be instantly connected, quickly searching the Wi-Fi, connecting. You're good at that. And the bandwidth and the range? Absolutely. So the Chromebooks today, they are using the 2x2 11ac, which... All of these? All of the Chromebooks, they are using 2x2. Yeah, this one too. Some of them are 11 and 2x2. The newer ones, for example, like iSense and Fire, they are 11ac 2x2. So this... So 2x2 doubles the range. So your effective rate of a range improves and it doubles. So you have a more robust connection. So how does it work? Is there a 2x2 right here? Does that mean there's two antennas? Or how does it work? Yes, it has two antennas. Where do they put them, usually? Usually, you know, they spread it out so that the performance is optimized. So it's maybe even down here, up there, behind or somewhere? You know, it's hard to say all these OEMs, they do different configurations for antenna based on, you know, what are the other antennas inside the device? That's important too, right? The antenna. You don't make the antenna, do you? We don't do antennas ourselves, but we provide some expertise to help our OEMs, you know, do their antenna designs. So you work with the antenna suppliers? We don't work directly with them, but, you know, we do do some characterization on antennas and we tell our OEMs that, you know, if you do this kind of placement, you're going to get best performance with the 2x2. You know, if you want to do a Bluetooth antenna also, you can do this. So we make suggestions to them based on our expertise. Are you in this solution? Is it in the Chromecast? Because Chromecast is an important Wi-Fi too, right? It's very important Wi-Fi. I can't say what solution is in the new Chromecast because it's not announced yet. Because these solutions that you're talking about right here in this one, this is module. Does that mean you always work as a module or do you go directly in the PCB? It goes in all form factors. So that's why, you know, we, in this solution you can see this is CSP, which can be directly chip on board solution on a PCB. Then you can go a QFN form factor. So QFN is basically, it's a package which can also go directly as in like a chip on board configuration. And then finally we have module options. This particular module right here, this is called the M2-2230 module which is an industry standard spec. This can plug in directly into a PCIe form factor into, you know, for example, like an Intel Bay Trail or any of those processes which are, you know, which you've seen in most of the laptops and Chromebooks and so on. So this is used for qualification purposes. So how do manufacturers choose one or the other? Why would they choose one or the other? Does it take longer time to integrate on the board so they do just a module? I think it's really a cost decision and a performance decision for an OEM. So obviously if you do chip on board, it's the lowest cost.  So that's why you would use a module. It's for turnkey? For turnkey solution which is good to go. And then the other advantage is that once you have a module done, you've done the certification and all that, you know, all the qualification is done.  So you don't have to qualify it again. So I'm not an expert at all but I would guess that the on board solution is lower power consumption than the module. Actually, I don't think that current consumption would be much different between a chip on board solution versus a module solution because really I think that's the chip's capability. For example, you know, this chip set right here, the 8997, this is built based on 28 nanometer process technology and we have reduced the current consumption by over 40% which is a huge improvement, you know, on top of any existing solutions which are out there in the market. 40% compared to the previous one? Chipsets, predecessors as well as we think, you know, it's going to be very competitive in the market because today there is no Wi-Fi Bluetooth combo chip in the market built on 28 nanometer process technology. So we've done a lot of, you know, power islanding and memory architecture in a way that it's going to be really, really low power. What is nanometer in the previous generation? 40 nanometer. So it's 40, going to 28 nanometer. Is this the demo of a real one? That's a real demo, 8997, we just got this chip back in our lab like two weeks ago so we wanted to bring this out on a board, just play a simple YouTube video using a 2.40 gigahertz channel and it's good to go. It's working. It's working. So what is this Wave 2? Is that the next thing? Yeah, so 11AC Wave 2 is a new feature which enables multi-user MIMO. Multi-user MIMO is a new feature for 11AC which essentially really increases the overall network throughput per client. So once you have multiple devices on one network, so with multi-user MIMO each client can gain more throughput and get more robust connectivity to the internet. So that's the trick. Every time with Wi-Fi they find ways to combine several antennas and then now the next thing is even with many users they're still going to get faster bandwidth somehow. Absolutely. Is this some kind of magic? Well, the progression is amazing, right? So you started with a simple 11B, 11G technologies, then you went to 11A which was addition of 5 gig band, then you went to 11AC, you know, then you went to 2x2s. So now multi-user MIMO and I think this progression is amazing and it goes on and we're very excited to be part of that. Wave 2 and the previous, what's the difference in bandwidth? Not doubling or something. What's going on? What's the announcement? Really, I think the bandwidth is still with 11AC, the bandwidth is still 80 megahertz. The progression really is this multi-user MIMO technology which really improves the network efficiency and it can pump more throughput over the network. So it's overall more efficient network where multiple devices, all of them can have a more robust connection. And what is Bluetooth 5.0? So, good question. So today, we hear about Bluetooth 4.2, which is where the spec is today. Now, Bluetooth SIG is going to do a major upgrade on Bluetooth early next year. It's called the Shanghai Release. So, we don't know whether it will be Bluetooth 4.3 or 5.0, but what we have done is we've done some future proofing for our Wi-Fi chipsets and combos. So we've added hardware support for most of the features which are going to be part of the Bluetooth 5.0. So when it gets announced, our chips will be kind of future proof and will support features like BLE location, LTE coax, 2 megabits per second, LE. So a lot of cool features, especially related to BLE, Bluetooth Low Energy Technology, which are going to be in the future Bluetooth 5.0 release. So this chip will have future support for that. Is it somehow you can guarantee that? How about if they add stuff to 5.0 or 4.3 that somehow you couldn't cover because you didn't know? Well, there will always be stuff that you can't cover, right? Is it software update? It's a rolling spec. It's not frozen yet from the Bluetooth SIG standpoint. So today, where we stand, we know that most of the major features are rolled in and we've added support for that. But there's something in the future, obviously, in our future chipsets will have those. All right. So you said there was what's called a better bandwidth. And those three things, the LTE doesn't interfere with it or something? Yeah. So the main features for Bluetooth 5.0, number one, the LE throughput is doubling. So you're going from 1 megabit per second to 2 megabit per second LE. So that's number one. Number two is LTE coax where it's basically an additional software and hardware to improve coax with LTE devices as well as with other Bluetooth devices which are operating in the neighborhood. That's number two. Number three, very important feature is BLE location. So indoor location is hot. Wi-Fi indoor location is being solved through some technologies. BLE angle measurements are going to be used in order to identify the relative direction of different objects. So kind of compass-like functionality that you can do with BLE. Now add Wi-Fi location to it which can tell you distance. So now you have a full solution. You can tell that that person is standing in that direction 10 meters away. So it's going to be reliable indoor navigation? It's going to be extremely reliable sub one meter location accuracy, precise indoor navigation. Positioning, what's called orientation? You can do orientation. So depending upon the device, so you can use Wi-Fi, Bluetooth, you can use sensors and then you could add all kinds of other like fingerprinting technologies and PDR to make it really more accurate. With two waves, did you add more antennas? Is that why it's like this or was it the same number of antennas and so forth? So with the two by two, either you can use two antennas and basically share the Bluetooth antenna or you could use three antennas where you know you dedicate a third antenna to Bluetooth so that when Wi-Fi and Bluetooth when they're both operating so they don't impact you know the bandwidth of the throughput used by each other. So yeah so here we are demoing a three antenna solution. We can do two antennas, we can do three antennas. It really depends upon the customer design.


In time, they'll be also showing how to make traps, especially for birds like that and other, depends on the type of animal you'll be trying. Demonstrate it for you first, then they also have some introductions, if you have any questions you could just ask them, then you could also perform if you wanted to try. Introduction for the safety. So, with regards to hunting bono, it's really hard to make a fire out of nothing. I guess you've already experienced it. It would be better if you fire, but it takes a lot of patience at the same time, a lot of time to make a fire, so they'll just... You'll be using to grab the one you have put, a small hole. And the other one is to... It's a smoke coming out. Like it's the luck, you need to use some luck to pull it to not to be pulled. So, they'll teach you how to, how you should tie this one. Take some... Okay, so that the animal will be attracted, then when he's done to take the trap, then you can use it. Yung manok. Yung manok ko rin doon. Put the bait inside him. Part of a... Distinct of a animal, like a chicken.  Fire at the same time, I guess, trying out the bait. Yeah, Brian, you control the weather so you can't make a fire. Okay. There you go. Oh. I don't know what's going to happen. He made the fire. We don't need to make a fire. Stop it, man.  I'll just send you in the fire.  Oh. What's up, Andrew? Rabu, slow mo ko. Sos pagawa ka ng pangtaklubin. Yan ang sabot, taklubin. Make sure that there's no leak. With the water work, get it out. That's the time you... Okay. Cross stick. Third lab's first. Which part? Either one.