Morning. What's up? And translating that speed to go upwards because before this I've been going slow and slow approaches and jumping with the small to the ultimate so I'm relearning that and not really about stress just getting up. Yo how's that for a dunk day intro? Last time I went dunking jumped like 65 times. Someone in the comments showed me the most love by counting. Yeah today pushing it was going to go yesterday but took an extra rest day just to go extra hard today. Body's feeling really good. Feeling really good in shape. Just my hamstring but that's been getting better with the foam rolling and the soft tissue work. And I'm learning how to breathe through my belly to get good stretching because I usually breathe in my chest and that doesn't allow my legs to relax because I'm not using my core at all. Your boy's got a new job as an audio video engineer for a podcast and a content creation team. So I'm super pumped to show you guys that. Yo boy's a producer. Headed to the gym too much energy because I rested too much. Let's go. Let's go. Feels good already. I'm slowly getting better. Jumping's not the best for it but I still got to jump because I'm going to lose my mind. So much energy today. Half an inch short. So basically 10 feet. It's stiff.  It's up there.  Well for now and then I'll go hard. Jumping hard but that's speed. I'm used to just jumping with less speed to go straight up so I got to translate that speed upward better. Every half inch matters. No half inch left behind. On this regular rim. Today's about jumping higher. Any questions you have for your journey definitely comment them below. That's the best way for me to answer them all and then everybody can see them. Does that watch every vlog? You see me fail way more times than I succeed in front of people so that makes those times when I make it get high it makes them way more high. It was at this exact moment I realized my whole life was a lie.  I can't believe that whole time I thought that was a half inch low. And I'm still confused if it's a half inch high. I think it is. I'll check the footage. You guys know already so have a good day. Oh that's the anthem right there. The intro ends up making an anthem.


Your Excellencies ladies and gentlemen, it is wonderful to be back to this ever-growing Singapore FinTech Festival Over the last decade as the UN Special Advocate. I have really witnessed a rapid improvement in financial inclusion Today almost 70% of all adults have a financial account That is an increase of 1.2 billion adults in the last eight years Financial inclusion matters because of its power to improve people's lives It is not an end in itself Rather, a means to create jobs, take part in an increasingly digital economy hedge risks, improve development outcomes, empower women and enhance the financial health of customers During my last UN visit to Dhaka this July, I met Isu Hassan In 2016, Isu started to produce her own grandmother's hair oil recipe to sell to neighbors and friends It was an immediate hit However, to commercialize her home-based micro-business, she needed support With the help of a local FinTech shop-up, not only was she able to quickly access credit based on a digital footprint But shop-up also supported Isu with back office and online administration Today, Isu has a booming business employing four people and she has bought a house for her parents I am convinced that inclusive technology innovations like shop-up present today a best opportunity to tackle financial exclusion There are currently 1.7 billion adults still on banked and many more do have access But not to products that meet their needs, therefore they do not use them We have come a long way since mobile phones were first used to leapfrog brick-and-mortar back branches and we think traditional business models for serving the poor Kenya has been one of the global showcases of this Mobile money providers in the central bank drove the rapid increase in the number of banked adults from 42% in 2011 to 82% in 2017 They have succeeded in digitizing domestic remittances, broadening access to digital accounts, introducing proportionality to know your customer requirements Creating test-and-learn regulatory approaches and building inclusive agent networks This has resulted in real improvements in citizens' lives In 2016, MIT study found that access to mobile money allowed 10% of the poorest households in Kenya to pull themselves out of poverty There are today now 272 active mobile money deployments across 90 countries serving almost 900 million registered users Which is great However, usage of these services is still very low Two out of every three mobile money accounts are inactive or dormant And the active use of savings and borrowing is stagnant This basically says something about the quality of these products Now, fintech is beginning to show it can reverse its trends New competitors are emerging with startups creating more tailored, faster and cheaper products Mobile money providers and banks are striking partnerships with innovators to better serve these users Yet, one big challenge is to have regulatory tools which can keep up with a fast pace of innovations and new risks These new risks include cyber attacks, privacy breaches, dominating super platforms and discrimination that could be created by algorithms In terms of exclusion due to algorithms, an American fintech uses customers' punctuation and spelling in their credit scoring models as a proxy for quality of education Well, spelling mistakes is not necessarily an indication of someone's ability to pay their bills I don't need to tell you what this weekend actually came up about the latest news of algorithms offering less credit to women Even they actually had better scaring credit scoring And last year in India, cyber hackers infected customer banks' server with malware and retrieved customer processing information and they stole 13.5 million dollars Another big risk is that a rapid expansion of digital credit to the underserved can lead to indebtedness and further exclusion due to lower credit scores From the third of Kenyans that have recently used digital credit providers, about half of these have been late repaying their loans Subsequently, more than 400,000 borrowers have been reported to the credit reference bureau for late repayment on astounding loans of less than $2 So building these regulatory tools is especially challenging for countries who lack resources and the staff with the necessary skills to understand fintech's rapid development Based on the early experience of regulators, my fintech working group has issued a report earlier this year together with the Cambridge University with the support of MAS This report contains early lessons learned on regulatory sandboxes, innovation offices and ractech to help regulators, especially from developing and emerging markets Three key insights from the report are First, regulatory sandboxes are not always the right tool to begin with Less resource intense innovation offices may be a better starting point A recent assessment by the Kenyan Capital Market Authority revealed that an innovation office was enough to resolve regulatory questions of most startups Second, some initiatives are more suited to the initial stages of regulatory innovations while others can benefit from existing initiatives and infrastructure MAS's experience with their innovation office gave them a good foundation to create afterwards their regulatory sandbox and explore ractech solutions Third, facilitating interagency coordination and collaboration is crucial Many innovative financial services cut across several regulatory mandates Interagency coordination is often needed to make regulatory innovations effective For example, to provide innovators with a single voice, the Dutch central bank and financial market authorities jointly run an innovation office today So while improving the regulatory environment is a crucial piece of the puzzle The private sector is really key It is the private sector that will develop customer centric approaches and create products which will improve users actual financial health and not simply create access or usage Providers and investors can also create industry standards to make their practices more inclusive and safer Fintech associations can lead by providing a collective voice to regulators on policy changes to encourage innovation And large companies can also support the emergence of new solutions and startups by establishing fintech hubs, accelerators and anchoring industry sandboxes More broadly, if we want fintech to thrive, there are necessary policies and pieces of infrastructure that need to be there Some are critical for access such as connectivity, physical infrastructure and digital IDs Others make markets work better for customers such as fair competition and interoperable payment systems And some others, to protect the finance system and users such as data privacy, cybersecurity, consumer protection and digital and financial literacy To deal with all of this, we need to share knowledge among different countries We can learn from Mexico, which has established an interoperable payment system Or from Peru, with this new digital ID systems or India And organizations such as the BIS, Gates Foundation, MAS and the World Bank Group can facilitate knowledge sharing on global public goods among central banks Finally, I call on each of you to consider the large impact that you can actually have on financial inclusion You can co-create products, standards, regulatory tools and public goods so fintech can seize its potential to spur inclusion and improve people's lives Remember, still 1.7 billion people to go in terms of access But many, many more where you can actually improve their financial lives to actually make their dreams come true So they can actually become resilient and actually build for a better future I wish you a lot of success and thank you very much for all your endeavors


Introducing the Daredevil's of Hollywood! Alright everybody, I want you to realize that this is supposed to be a war. A terrible war, so make it look that way. Are you about ready for my scene, Mr. Gilmore? Yes, we're ready in a couple of shakes, Dick. Now here's what I want you to do. We're going to blow up that building with a cork bomb. A shell is supposed to hit it. I see, but you really pull it down with piano wires, won't you? That's right, but the explosion will look real. Now there'll be rocks, bricks, and everything else falling. I get it, I get it. And where am I supposed to be? You're doubting the leading man, standing in the doorway. Now when the explosion starts, you begin to run. But you fall, and all these bricks and rocks land on top of you. Now you get the idea? Yes, sir. Everything's ready to shoot, Mr. Gilmore. Alright, let's go. Set your action, Charlie. Places! Take your places! Quiet! Now we'll do it just as we rehearse. Hey, special effects, y'all set for those bombs? All set. Alright, let's take... Roll them! Action! From Hollywood, the motion picture capital of the world, we bring you the thrilling, true life experiences of those men behind the scenes. Those daring, unsung heroes whose breathtaking adventures on the screen have thrilled millions.  Those men who comprise the strangest fraternity on earth. The Suicide Squad. The movie Stuntman. The dead evils of Hollywood. Ladies and gentlemen, in bringing you this copyrighted radio feature, we are again privileged to have as our guests one of the top-notch stuntmen of Hollywood, Frank McGrath. It is through his cooperation that we are able to re-enact some of the highlights of his dangerous profession. The thrilling scenes you are about to hear are his own actual experiences. And Frank McGrath is here in the studio right now. Later on in the program, we will of course bring him to the microphone. But first, let us learn something of the hazardous work which is his everyday occupation. The scene is a huge sound stage on the 20th Century Fox lot. It is early morning. A gigantic set has been built on the stage, a prison set. By means of Hollywood magic, a large tank of water surrounded by scenery and trees looks for the world like a medieval prison circled by a moat. High above, supported by large timbers, are three vats, each containing 25,000 gallons of water. A very difficult and dangerous scene is about to be made for the picture the prisoner of Shark Island. And Warner Baxter, the star, has turned over this assignment to his stuntman, Frank McGrath, who sits talking with the director. Frank, we've got those tanks rigged up so we can dump them slowly. I don't think we'll have any trouble. See, they tip over slowly and spill the water gradually. Personally, I think we ought to dump the whole works at once. To make a swell shot. That's a lot of water, Mr. Ford. Yes, I know it is. 75,000 gallons. What I'd like to do now is get this routine straight. I'm supposed to be shot off that high wall and fall into the moat, huh? Yes. At least the prison guards think you're shot, but you're not. Then I swim out across the moat and through the culvert, which is supposed to open into the ocean. That's right, Frank. That's when we dump the water. It's supposed to look like big waves rolling in. Makes a pretty rough ocean. That's it. It's okay with me, but I still don't like the idea of spilling all that water at once. We'll see, Frank. Anyway, we'll have a man there by the culvert to stand by if anything goes haywire. He's over there now. Hey, Duke! Come over here a minute. Duke knows his water stuff all right. I'll tell you that. Hi, Duke. Hello, Frank. How are you, Mr. Ford? Hey, Duke, what's your idea on pulling Frank out of a mess if he gets the most? My suggestion is to tie a line on him, Mr. Ford. After all, if the water gets too tough for him, it'd be too tough for me, too. I see what you mean, Duke. You can hold on to the line and stand out of the way. Let it give you a footing. That's the idea. That's good. Then we can dump all the water at once. That's a lot of water, Mr. Ford. They're my exact words, Duke. If you're ready, Mr. Ford, we're all set. All right, Johnny. Let's take it, boys. Up on the wall, Frank. Here, I'll sell them in a prank.  All right, everybody. This is it. On your toes now. And stay out of the way of that water. This is a picture. Quiet, quiet, please. Hey, Grif, tell them to cut the ropes on the tank when I give the signal. You're not going to dump it easy, then. No, let it all go at once. How about it, Frank? Are you all set? All right, Mr. Ford. Okay. Here we go. Turn them over. It goes into the water. Nice fall. Yes, and good shots over. It's coming for the carpet. It's going through. All right, men. Dump the water. Cut.  All right. Ladies and gentlemen, it is our pleasure to present the courageous young man who made that scene, whose job it is to make just such scenes for motion pictures. Frank McGrath, interviewed by Hell Style. Well, Frank, that was certainly a showbath, wasn't it? I'll say it was. The weight of that water ran into tons. Were you hurt? No, not seriously. Of course it's knocked me unconscious. I would have drowned if I hadn't had that roper on me. Well, I gathered the flood of water, washed the entire set away. Yeah, that's right. Of course you had to do the scene over again. Yes, we did it again, but they didn't dump the water as the fat this time. Everything went off okay. Hey, Frank, you have a contract with 20th Century Fox, haven't you? That's right. And do you work every day? No, not every day. You see, I double for Warner Baxter. I only work when he works. I see. Well, now, Frank, to just what do you attribute your success as a doubling stuntman? Well, lucky breaks have had a lot to do with it. Then too, I take my work seriously. I like my job, and I do my best every time. And who did you double for when you first started in pictures? At first, I doubled for anybody who would let me. Then I met Buster Collier Jr. and I worked for him about seven years. And how long have you been with Warner Baxter? Seven years. Seven seems to be your number. That's right. Now, look, Frank, do you do all kinds of stunts? No, I don't do many stunts anymore. That is not as many as I used to. It isn't necessary. It's only seldom that stunts come up in Baxter pictures. But you used to do them all the time, didn't you? That's right. I've done a lot of horse stunts for Westerns.  Say, years ago, I did a horse gag for a picture called a killer with Georgia Bryan. Dave Howard was the director, and it was on location. Oh, just a minute, Frank, if you don't mind. Suppose we hear about that horse stunt. And first, I think it's time for our sponsor. All right, Frank, now, what about that horse stunt? Well, it was on location down at Chattler's.  Believe me, that horse could run. But Cliff Lyons, another stuntman, was to ride his horse up alongside and overtake me. But it seemed that Cliff's horse couldn't run quite fast enough. And we were all ribbed. That makes five times we tried it, Cliff. Do you think there's any chance of getting home tonight? They're probably stuck here for a few days, Mr. Howard. Maybe in a week, maybe 10 days, and Cliff will make the run. Maybe you could give me a slower horse. Or else give me a faster one. Say, that might be an idea at that. Hey, Mac, bring over a faster horse for Cliff. Now, these cameras are getting pretty cold, Cliff. He's up on us. Yeah, I'm getting kind of worn out. He's trying to nag all day. Hey, let's really try to get him out this time. How's this one, Mr. Howard? Ah, that's what you'll do. Now get on him, Cliff, and let's try it again. All right. Now, all you have to do is catch up with Frank and stop his horse.  You all set, Mr. Howard? Yeah, let's take it. Okay. Everybody will try it again to take quiet. All right, now, boys, do your stuff. Make it look good. Okay. Camera. Just can't catch, Frank. Oh, that's no good. They're too far out of the scene now, anyway. Huh? Oh, it's got leased. I don't know what to do. Frankly, neither do I, unless we change horses. Hey, that might work. Let's try it. Okay. Come here, fellas. Listen, I've got another idea. I'll buy changing horses. Okay. All right. Let's make the switch inside again. We'll have to get the shot pretty soon. The sun's beginning to take a dive.  Let me get it this time. I'm just sore enough to do it. Well, are you all set? Yep. Yep. Let's go. Here we go. This is it. Go ahead. Turn him over. Now, go ahead, boys. Come over. Looks like he's going to make it this time. He's gaining on Frank. Oh, but he can't quite make it. Just a little faster, Cliff. You're almost got him. Hey, those horses are really running. Holy snakes.  The sun is going to jump. Look at that guy. He's leaning over. There he goes. See, the grasshopper's falling. What a... Well, Frank, that certainly must have been quite a fall. Quite a fall is right. I broke five ribs and was laid up two weeks. Now, how did that accident happen? That is, what caused it? Cliff was so anxious to make this scene that last time that he made a dive for my horse.  Of course, he didn't intend to trip him up. I suppose a lot of unusual things happen in the picture business, don't they? Yes. There's always something coming up that you don't expect. Getting back to Warner, back to Frank, in this new contract you have, will you be doing the same work that you've done for seven years? That's right. Stand in, double, doing stunts. Well, I can easily give you the advantage to a star for having a double, but what about the studio? Where do they come in? Oh, it saves a lot of time and expense for the studio. And how is that? Well, for instance, maybe Mr. Baxter will be working on the sound stage doing close shots all day. But after the same time, I'll be working in long shots on the exterior set. And the finished picture shows it all as Baxter. That's it, exactly. I can easily see that it pays the studio to have a chat like you on the contract. In what little time I've spent out there in the lot, I've found that you are very well liked by everyone. Thank you. Now, one more question, Frank. I see that our time is getting short. Just what are your plans for the future? Well, truthfully, I have no plans. I never make them. Everything that has happened to me has just happened. You know what I mean. My theory is, if you don't make plans, you'll never be disappointed. That's very good logic, too. And that certainly is one way to look at it. Well, Frank, I hope you'll never have occasion to be disappointed. Thanks very much for coming here. And on behalf of our listeners, may I express appreciation for your story. I know that everyone joins me in hoping that we may have you again on this program very soon. Thanks, old boy, and good luck.


And this is the title, Digistice Counter-Diabatic Quantum Algorithms, sorry. Okay, okay, thank you for your introduction and thank you the organizer to give me the opportunity to present our work about this digitalized counter-diabatic driving. I come from the University of Basque Country in Spain. And today I will talk about this counter-diabatic driving, which is one of the main methods in the shortcut to adiabaticity. In the previous talk in this conference, you have heard about this shortcut to adiabaticity to speed up the adiabatic process with the application in the quantum control, in the quantum annealing, also the adiabatic quantum computing. Here I will give some brief introduction of this background and other things, and I will focus on the digital adiabatic quantum computing, and also I apply this particularly counter-diabatic in terms to speed up the quantum algorithm to do the quantum optimization. And my talk will end up with some brief conclusion and also perspective. As you know that, okay, we are living in the next area with the decroherence in the different device. Meanwhile, in the quantum control, we need the precise and fast control of the quantum state or state of preparation in the different application with respect to the quantum information processing, the quantum simulations, and the quantum knowledge. That's why we need the shortcut to adiabaticity, because as we know that the adiabatic conditions allowed us to stay, allowed to evolve the state along the instantaneous eigenstate when the adiabatic condition is fulfilled. But as you know that in the presence of the noise or the decroherence, other things, and then maybe the adiabatic solution will be destroyed by them. That's why we need to speed up the adiabatic process, which means that we want to mimic the adiabatic process, but within the short time. That's why in the 2020, I proposed with my colleague about this concept, particularly applying these things in atomic cooling and the native people develop a lot of method, showing the same concept for instance the microberry, for example, this is the transitionist driving and Masuda developed the fast forward, you have been discussed in the conference and also the concept. Here I will focus on the concept of driving because I will use that in the adiabatic algorithm. As you know that, okay, this kind of adiabatic driving can consider as the adiabatic gauge of potential, which can be useful to cancel the internal force when we accelerate the force, you can read this picture. And based on the various transitionist driving, and we can diagnose Hamiltonian and get distance, and this is what we call the transitionist driving, and in the rice papers they call the counter diabatic driving. I also apply these things for the atomic physics in 2010. And it's good, but somehow when we diagnose the Hamiltonian, which means that we solved the problem. That's why this method could be problematic in the minimally system. And recently, the people develop this counter diabatic driving, for instance, they consider approximate gauge potential, and they minimize the actions and they estimated or calculated approximate gauge potential by using these answers. And inspired by the Fouquette engineering, somehow they can also write down the approximate gauge potential in these commutators, then they can calculate this approximate gauge transformation. And this works, we say that, okay, we can design the counter diabatic driving in minimally system without diagonally Hamiltonian. That's the advantage. Okay, here I just want to list some experiment regarding this counter diabatic driving in the atomic physics in MV center two level system and three level system. And this is for the trap time transport. This is called the item I collaborated with Chinese group and also recently they develop this local counter diabatic driving and to do the experiment implementation in the spin channel. This is the main experiment result. We can connect to the main issue about the adiabatic quantum computing, because you have already know that I just mentioned these things. In principle, we can use the adiabatic process to connect to the initial Hamiltonian to the final Hamiltonian we can include any problems in this way in this adiabatic quantum computing. And normally we need the long time for the state evolution because we want to avoid the transition. And the total learning time depends on the minimal energy gaps, as we know, and also in 2016, the Google teams also develop this idea about the digital adiabatic quantum computing. The main idea is that they write on the time evolution operators and do the totalization and we can digitalize this time evolution operators and we can do the things in the in the superconducting circuit. And so we want to combine these two things, whether we can use the counter diabatic driving in the digitalized adiabatic quantum computing to speed up it because as we know that the adiabatic shortcut can speed up the adiabatic process. So we do that. First of all, we just provide the heuristic example. Let's see, look at the spin one half single spin with time dependent on the magnetic field. And normally we can calculate the city term very easily, and then we can flip the spin from around the x direction initially and to the spin down and we can write on the Hamiltonian for this symbol problem that we just choose the net functions. And then we can write on the total Hamiltonian with the local city term. And for the two level system, this is nothing but the sigma y terms. And then we do the totalization and we do the experiment in the IBM Q stick and we saw the result and the very simple we see that okay, the C is with the city term, somehow we can achieve the high fidelity within the short time. And without the city term normally the adiabatic condition is broken down, then we will not get the high fidelity. So that's the main result. And then then we can go beyond this single simple model and go to the look at the spin. And then we can use the easy spin model by using the local city term and we write on the problem Hamiltonian and we calculate the local city term from the very method, which means that we diagonal Hamiltonian because this is simple. And we can also use the local city term calculated from the evaluation approach. And as I mentioned before, and then we can compare to the result. This is the local city term from the various method. And the first of all, we just checked the two cubits, and then we see the better performance. And then we also go to the five cubits and we see the difference. And we increase the system size, which means that we increase the cubits and the fidelity was not good because this local city term will be more approximated. So, even when we increase the interaction G, and how to deal with that, we go to use the approximated gauge potential by using the nested commutator. For the nested L equals to one, we really see the better solution when we prepare the best state, and then we also go to the GHC state, we increase the number of the cubit by increase the high order nested commutator. This is how we see that the fidelity improve a bit, but of course we can also keep the high order nested commutator to improve that, but it will increase the complicity of the circuit. But yeah, but at a certain point, and the nested commutators improve the fidelity. And this is for sure. By this result, somehow we apply to the different scenarios, for instance, the flexuralization, and also the QAOA, and also different approximation. We also apply the method learning for the QAOA, for the initial parameters. And here I just want to list some few examples about the application. For instance, adiabatic quantum flexuralization, and we can write on the problem like this, and then encode the solution of a minimal problem in the ground state of the Hamiltonian. We can write on the Hamiltonian by introducing the spring operators. Finally, the Hamiltonian can be written this way, but it could be difficult to implement because it will include the four-body interactions. But then we move to the multiplication table method, and we write on these equations after classical processing, and we can get the cost function, and we can write on the Hamiltonian. And we can always calculate the counter diabatic driving by using the definition, and we can see how speed up it. But it can be difficult because it includes the minimal interaction, as in, we can also check the different cases. For instance, we have flexuralization, the small number experiment in the IBM quantum computing, and we see the profile of the CD term, and we see the solution, which is good, and very surprising for the small numbers, we only need the two total steps by using the counter diabatic driving. And of course, when we go to the larger numbers, somehow we can choose the different operator powers, but here, as I said, we can only keep one or two spring interactions because many body interactions will be problematic. So we choose these things and the protocol efficiencies as three parameters, and we can optimize all the fix later, and then we compare the result by using different answers, the local CD term, and the two-body interactions, and then compare to the nested competitors, the first order, and we see the performance with respect to the different successful probability. And we can also check how these CD terms improve the QAOA. And here, the idea is that instead of the 2P parameters, we can introduce the parameters for the counter diabatic driving, and we use the classical optimizer to do the iteration to find the minimal integer. This is the typical here. We introduce the CD term. Of course, as I mentioned earlier, we can also use the return to neural network and to train the initial parameters and to improve the QAOA. And I want to show the result here, and we use, we consider the easing spring model, and we calculate the counter diabatic driving, just keeping the local CD term and the two-body interaction, and we find the solution for the longitudinal field easing model and the transversal easing model. We see that the counter diabatic driving is always better, and we also check how the counter diabatic driving improved the GHC, the entangled state of probability. And here, I just listed the parameters. Of course, we can also apply the listings for the classical optimization program. For instance, we calculate the three regular max-card problem, and also the SP model we really see the result. And because of time, I just take it. If you are interested, you can also check the reference here. And of course, we can also apply listings for the quantum chemistry. For instance, so finding the ground state of the hydra atoms, and we can write on the Hamiltonian, and we can calculate the CD term and to achieve the speed up. And recently, I noticed that in Chinese groupers, and they also implement this idea for finding the ground state for the hydra atoms, and it could be very interesting to extend it to the larger molecular. And here, I just want to give you one slide, how to understand these things. We can write on the spin glass, the Hamiltonian, and write on the CD term. Here we calculated the energy spectrum, and you will see that somehow this CD terms in large a bit of the energy gap, which means that we can speed up it. And in other scenes, how to understand the law of the CD term, and the CD term is not a static state, and somehow it will help the system to converge with the final ground state, as that's the law. Here, I want to conclude my talk. We introduced the counter data driving, which is the means that we can introduce arbitrary interaction, we can implement this non-statistic Hamiltonian interaction. And this result will be consistent with error corrections and can be developed in our algorithm. And here the good result is that by introducing the counter data driving, somehow we can shorten the operation time, and meanwhile we can reduce the gate counter in the quantum circuit. And here, the good advantage is that we use the approximate CD terms, which means that we don't require the knowledge of the Hamiltonian energy spectrum. We don't need to diagnose Hamiltonian first, and we use this adiabatic gauge of potential to estimate the CD term. And the counter data driving, somehow also give us the better answers or reached the answers for to adapt the ground state, which can be applied to the evaluation of EigenSolver or the QAOA. And later, we can also consider some fundamental question, also application with some perspective. For instance, we can optimize the counter data driving by using the circuit learning, by using the reinforcement machine learning. And here, I also consider how to implement this counter diabatic quantum algorithm in this case, the devices, for instance, photonic chips, or the superconductive cubes, or the trap time. For instance, for two-body interaction or even mini-body interaction, it could be difficult for the photonic chips, but somehow we can restrict to the two-body and apply the machine learning to optimize the co-efficiency and to see how we improve the implementation. And there must be some fundamental question as well. For instance, there are always interesting to look at the total errors, adiabatic errors, also the problem, the trade-off between the complicity of each total steps, and with respect to the time with other things. There are a lot of interesting problems. We should understand why this counter diabatic works better and how to improve that. Apart from this result, in our group, we also interested in some machine learning. For instance, we applied this active learning for retrieving the quantum information. We also applied the reinforced machine learning for the qubit control, and in presence of the noise. Also, we applied the recurrent neural work to improve the both side condensations control in the random environment. So if you are interested, you can also check the web page here. We have some results there. Okay, so finally, thank you for your attention. I would like to thank the teams in Biobao, also some collaboration from Shanghai University, Kusulano, and Nalaha. We have the team to develop this digital counter diabatic quantum algorithm. Thank you for your attention. Thanks. We have time for one quick question. Maybe I can ask a question, actually. I was always wondering, when you have to engineer the counter diabatic terms and things that need to be... Are there any results on how difficult that could be to find the right terms to speed up in general? That's a good question. Historically, this counter diabatic driving was proposed by Rice in the United States. They applied these things in the three-level system to speed up the stirrup. Later, Michael Berry formulated these things that he called transitionist driving. But in that time, one has to diagnose Hamiltonian. As you know, it is difficult to find the expression. Of course, you can always diagnose Hamiltonian, but for the adiabatic quantum computing, if you diagnose it, you have already solved the problem. You have solved the problem. You have to use these things to speed up.  They called diabatic gauge potential. Somehow you can use this counter diabatic to compensate this internal force was when you speed up. Then with this concept, they assume this gauge potential as the answers and you don't need to find the exact CD term and you don't need to diagnose Hamiltonian. Benefits from these estimated things, somehow we can apply these things in the adiabatic quantum computing. We don't need to diagnose. Even we don't need the exact expression and we can use the answers from the diabatic gauge potential and optimize the coefficients by using different methods. As I said that you can use machine learning to do that. This is what we are doing now. Thank you. Let's thank the speaker again and let's go for the coffee break.


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Hello, and welcome to this presentation that describes the linked list management support by the LPDMA and the GPDMA. The first approach to configure a DMA transfer consists in initializing the channel memory mapped registers. This is called direct programming mode. However, the same channel can only be reconfigured when the ongoing transfer is completed. In order to decouple software preparation of transfers from their execution, the linked list approach is more convenient. Each item in this linked list is called a linked list item or LLI. The LLI is mapped in memory and contains an image of the values to be initialized into the DMA channel registers. Thus, DMA channel register programming becomes an indirect operation. The base address in memory of the data structure of the next LLI, n plus 1 of a channel X, is the sum of the linked base address of the channel X, which is a static value, and the linked address offset, which is provided by the previous LLI. The data structure for each LLI may be specific and contains the list of channel registers to be initialized. By using the UT1, UT2, UB1, USA, UDA, ULL, plus UB2 and UT3 when present, the user can select which channel registers will be updated during the link. Therefore, only the difference between two consecutive LLIs has to be programmed. The left part of the figure represents the DMA register file. The right part represents the LLI1 and 2 allocated in memory. This figure describes the link operation when LPDMA channels 0 to 3 and GPDMA channels 0 to 11 are used. The address of LLI1 is the sum of a base address programmed in the CXL bar register and the offset present in the CXLLR register. LLIN provides the offset used to locate LLI N plus 1. When the link is performed, the channel X linked list register file is updated from the values read in the LLI1 data structure. Later when the transfer related to LLI1 has been completed, the LLI2 data structure will be loaded into the channel X linked list register file. Since all UXX control bits are assumed to be 1, the entire channel X linked list register file is updated. The CXLLR register contains control bits that enable the user to select which registers of the channel X linked list register file will be updated during the link. In the example on the right, it is assumed that only the CXTR2, CXDAR and CXLLR registers will be updated when linking from LLIN to LLIN plus 1. Control bits related to registers that are not updated are cleared. These are UT1, UB1 and USA. Control bits related to registers that are updated are set to 1. These are UT2, UDA and ULL. This capability of selecting the registers that are updated is very useful to minimize the memory footprint and accelerate the link when consecutive LLI's share common configuration settings. For example, when two consecutive transfers are performed from the same source peripheral, it is not necessary to reprogram the source address. This figure describes the link operation when GPDMA channels 12 to 15 are used. These channels support additional functionalities, such as block repetition, interburst offset and interblock offset that rely on two registers called CXTR3 and CXBR2. Thus the LLI size is extended to 8 fields. During the link, if all UXX bits are set to 1, the 8 registers of the channel X linked list register file are updated from the LLI present in memory. The CXLLR register of channels 12 to 15 supports two additional bits, UT3 and UB2 used to determine whether the CXTR3 and the CXBR2 registers will be updated during the link. In the example on the right, it is assumed that only the CXTR2, CXDAR and CXLLR registers will be updated when linking from LLI N to LLI N plus 1. Control bits related to registers that are not updated are cleared. These are UT1, UB1, USA, UT3 and UB2. Control bits related to registers that are updated are set to 1. These are UT2, UDA and ULL. This figure depicts the DMA channel execution and its registers programming in run 2 completion mode. In this mode, a full sequence of LLIs is processed by the DMA without software intervention. The first LLI may only perform a link as indicated by BNDT equal to 0. BNDT stands for block number of data bytes to transfer. Once the data transfer is completed, a link occurs when the LLR register is non-null. Then the next LLI is loaded and an iteration occurs. See the yes arrow between valid user setting test and executing once the data transfer from the register file. Initializing LLR with value 0 completes the channel transfer at the end of the currently active LLI. Note that the DMA controller parses the initialization performed by software and raises a flag called USEF in the case of a configuration error. The DMA controller raises a flag called DTEF when an error occurs during a data transfer and raises a flag called ULEF when an error occurs during a link. The TCF flag is set to 1 when the channel transfer completes successfully. This figure shows the overall and Unify GPDMA link list programming, whatever the execution mode, run to completion or link step. The software can reconfigure a channel when the channel is disabled and update the execution mode to change between run to completion mode and link step modes. When LSM equals 1, there is no automatic iteration. The channel transfer completes when the data transfer and link of the current LLI are performed. Software is in charge of reactivating the channel after a possible reconfiguration in order to handle the next LLI. In addition to this presentation, you can refer to other presentations on the GPDMA and LPDMA, DMA overview, DMA transfers hardware and software views, autonomous DMA and low power mode, DMA circular buffering and double buffering, DMA 2D addressing, DMA register file, DMA error reporting, DMA input-output LLI control.


everyone and welcome. This is Melissa Arma with the stocks. What should I go over Disney? Disney is a long eight to tell you that it's a little late, but not really. Anyways, I called an amazing option trade in this. And looking back now, I know some people are kicking their butts on the options letter because they didn't do it. And then some people thought it was too late. And then some people got out too early than some people killed it. Anyways, long story short, I called it on this day here, which was the night. So the stock gapped up rallied. I saw the buying coming in. And again, I read gaps. So I rate the gap. That's how I make the option calls and the day trade calls. Then it gapped up the previous day. So people were up in this here and some people get out. It was up, but it wasn't up a million dollars. And then some people killed it here. Gosh darn it. You know, I don't know why people didn't email me about that. But anyways, a lot of people did keep it. And two students made over 40 grand in this. You know, they had the size showed to see students making that kind of money for my calls is amazing. So people always say, Well, how much did you risk? The cost was between 80 cents, 90 cents, give or take. So if you had 10, you could have made over 10 grand. If you had, if you had 40 of them, okay, then you would have made, you know, the $40,000 some dollars. But anyways, with the cost of them, you would have been risking between 3000 and 4000 to make the 40 grand. So it was like 1000% return investment trade, a great trade. And I don't call trades like this every day, but I do call trades like this. I do. And you got to be in it to win it, so to speak. So a bunch of people were and just an amazing move by Disney here. And as you can see, so it actually gapped up today, gapped up today, I liked it long today. We watched it in the room dropped broke felt the low and picked it up again. And now here we are one over 132 today. I said I did think 132. And this is just an amazing move by Disney. So again, institutional buying is something that you can't be against or you will lose institutional buying makes it easy for you to make money if you go long stocks or having that come in. Now how do you know where to do that? Many day traders were looking at this on Friday as a short thinking it was going to fill the gap. I'm not going to get into a long lecture tonight, but I will tell you that that thesis does not work. If you trade like that consistently, you will lose money. Although some gaps reverse. That is not what we play. You're going against institutional money when you do that, it may seem like you could make money different times when things fall like that gap up like this where I can show you other examples that do but those gaps don't set up right or don't rate well per my system. So you have to know which ones are the good ones. I always say it not everything is created equal. Some gaps are better than others. So you play the good ones. You play the good ones hard. You do the good ones and in fact, I called other options trades in Friday even that are up today. Some people already get out of this today. Some people hold it on. This is this is a great move. I think if you get out of this today though, then the second trade that I called in this the second option. I mean, there were just there's so many trades called in Disney have almost lost track. But the second one that I called in Friday, if you got out of it today, you made money again. But the big one, the big one in Disney, the one like I said that was the Jai Mungo one that trade is over even though I mean, I guess theoretically, you could still be in that one from the original date on the night because I had called it out to the 26, but it would have been ridiculous to do that ridiculous to do that when you when you see something that's up that much, you got to take the profits. But I will tell you that Disney looks good. We'll see how Netflix reacts tomorrow night. And then we're going to see how Disney reacts to Netflix reacting. So watch it. Watch what happens. Watch your Disney if you're in it because of Netflix tomorrow night. We'll see what happens. And good luck, everyone. If you're interested in my class in my Golden Gap course, email me and Melissa at the stockswush.com. You will learn how to read institutional buying and selling. Have a great day.


Everybody forest here ripping 2022 flawless baseball hobby one box number 15 less side serial numbers do the random right now Then we'll get into the break. Good luck everybody Two and five seven times. There's a lot more brothers now that I feel like they're used to be that's for sure All right seven times on the names here The names first one two three four five six and seven Mark D down to Scott F and seven times on the numbers One two three four five six and seven 18 down to 21 breaking Got mark D 18 remars five Edward P 23 Nam cue 13 mark D 24 Scott F for George y2 Angel L 11 William and 10 Jonathan E 16 Chad R 22 MO D 12 Travis W 25 Mark D 3 John M 9 Lance H 6 William and 8 let's see 20 mark D 14 Luke s7 Travis W 1 John M 19 mark D 17 Jeremy H 15 and Scott F 21. Let's get the results posted. Let's get to uh Get to open in the box now Get you a link as well. I'll call out the hits as we go along Yeah, that's what Sam was saying was the was the Jones brothers Yeah mark and power great. No, there's definitely a lot. That's that's that's why it's a cool Little like thought experiment It's a lot nowadays Steph and and Seth Curry No, he's a good shooter he's definitely a good role-player, but no he is on the Should be on the one the sixers now guys Seth Curry Yeah, I think it was part of the heart and trade or he would know he went to the nets in the heart He was went from the section to the nets. I believe Okay Yeah, it could Kirk that go bear trade is a rough-looking. Yeah, I'm sorry that happened Kirk Training for you to go bear not a bad idea giving up what they gave up Rudy go bear bad idea dual patch card Robin Ventura 1 of 15 You go one spot. Let me sort this here. That's gonna be Travis W Robin Ventura dual game used relics here three color patch and a great Jersey Rookie Auto Redet Mers 5 of 25 spot Ramars. I'm not sure the Brian brothers are to be honest salty dog Don't pay attention to too much tennis. I could I like watching tennis. I like watching majors, but Not too in tune with it Wish I had time to Star swatch signatures Trevor Bowered 2 out of 7 It's game-worn 2 spot George Y. That's a cool one dual patch rookie auto Jaren Durand Josh Lowe 4 of 10 for a spot is Scott F4 is right there There you go Scott Durand and Lowe. I know you're a raised fan. That's kind of cool. It's a dual. Those are socks player on it, but That's what's up. That patch is really cool. Actually. I wish you showed more of it. It's three colors four colors down there Yeah, the DiMaggio brothers for sure. They're like they're like one of the OGs There's not a whole lot of brotherly like like they were like the OG brothers I feel like patch auto or Elvis Martinez 22 of 25 chat are 22 spot nice or Elvis. Oh, that's cool stiff I knew he had changed it. I just didn't know the reason That's cool though Pretty young to like Marina She never too young to like the greats triple patch auto Jonathan India 3 of 15 sick patches mark D with a three spot That was our player worn very nice Three color on the right and then two on the others there I'm sure that's what it is. I mean pretty well like 22 years old Got an auto of dawn madding Lee Donnie baseball 4 of 10 Scott F Yeah, I got Donnie baseball right next to me right here. Yeah, I signed that card and everything don't say that Donnie Yeah, that's that's uh, who works here Sean this favorite player of all time is Marino I mean, I think any Dolphins fan that grew up with like The 70s onward it like it's like it's Marino like it had who else you know what I mean Like there's other guys that you like obviously Ricky and Jason Taylor Zach Thomas, but I mean Marino's the guy All right, here we go. We've got a diamond gem of Manny Machado canary diamond 4 of 10 four spot again is Scott F Manny Machado Diamond guarantee for that card spike relic Adley Ruchman 12 of 14 MOD 12 spot Cleat spike You have a swoosh on it too. That's pretty cool Yes, it's been a pretty good case so far a pretty good box so far Love the spike relics Pretty pretty fine hit right here two on the back going to the one spot diamond gem auto Bobby Wait junior Travis W USA baseball diamond gem auto Bobby wait junior sick wit That's fire beautiful signature a beautiful card. That's gonna do it everybody. Here's the box Moving on to the next one


Hey, she was seven. I'm back. Okay, so I got permission from one of my viewers to share her story I'm not gonna use her name, but she said that I could share her story. So this client well, she's not even well, she was a client now, but She started watching my videos first and she was working in a bank and you know, just you know working You know paying bills living to pay bills and she was like watching my videos and she was like, oh my god, I Deserve better and you know, I don't just need to work to pay bills I you know, I look good. I can go out and get some man to pay for my lifestyle. So you know So she started, you know Looking on those millionaire websites, you know the millionaire dating websites And she actually met one and they were interested in her and She you know talking to them back and forth online. Yeah, my hair is flat. I'm so sorry She was talking to them back and forth online and you know being friendly being nice and She was just like well, you know, I need him to prove himself to me So let me ask for like a big amount of money and see if he'll if he'll send it to me And mind you they have not met in person yet. Okay, because they don't live in the same state so She asks him to send her $4,000, right and so He says yeah, I'll do it and give me your bank account.  Okay, she has $4,000 the next day Okay, so she's supposed to go and visit him but then she like blocked him and stopped calling him and He didn't hear from her for a while right and then all of a sudden she was like, oh my god, you know, I need some more money So she contacted him again and he you know, he was okay. He was fine. He was like, so do you want to come visit? You know, this is like months and months later so she was like, okay and So he sent her some money before she came to visit again. She came they you know She was coming from Florida and you know where he was it was cold So he had to take her shopping when she got there because she didn't bring any warm clothes and then Took her somewhere. I don't know what where you take you skiing or something. I don't I don't remember but somewhere We had to dress warm and then She got she asked him for like another amount of money but as Before she left he like stuck a water cache in her purse and you know, she was on her way out so she didn't even count it and When she got to the airport, you know, she's counting it and it was only half of what she asked for So she got mad and she was like, you didn't even give me everything I asked for and blah blah blah blah and so She was wondering, you know, why did he do that? So I was telling her well He wants you to come back. He wants you to call for the other half, you know He wants to see you again. So he shorted you on purpose so that You know, you will become emotionally involved and upset with him So that y'all could go back and forth and then he can apologize and then you can make up and then you can come back And he can give you more. Okay. This is what guys do with money. Okay, they don't always give you everything at the same time They make you a little work for it a little bit. Okay, ladies So that was his way of ensuring that she would return or at least call him when she got home, you know Let me show her a couple thousand You know So that's why I told her next time double the amount that you want and that way you get exactly what you need like say Oh, I want six thousand dollars when you only want three thousand and he's gonna give you three thousand and you still got You know what I'm saying? So you always double the amount that you really need and See what happens. Okay Don't just go for the bare minimum go for double if you go for double if you get half then you got what you wanted, right? So, um, I Always laugh because I think it's hilarious. Of course. He's old old dude She said he was old and not super attractive, but you know, she didn't have to work You know, she she could just go travel around and get money from him all the time so And then she started seeing another guy who owned a nightclub and she's trying to get him You know to invest in her seriously like Date and stuff like that because that's someone that she is attracted to and that does have money. So I Was like instructing her on how to you know, get with him get her him to buy her stuff and things like that Those type of men like to feel like they're needed like they're smart like they're teaching you something So or you know, their opinion is appreciated or you know, they have something like for example If you want some guy to take you shopping.  Do you do you know anyone that works at the Louis Vuitton store or the Gucci store?  Oh, what could you ask? Do you get like any discounts or anything?  Okay, so that's what he's gonna do Now there's this other guy. She said he had money But and she asked him for money for purse this is a different guy and he said no he wouldn't give it to her and I was like, well, some guys are practical Like he he probably would have given you the money if it was for something else like for example your car I needed work or you needed new tires or something like that He would have stepped in and been the hero to impress you and say, oh look look at me. I'm the hero I can I can help a damsel in distress, you know But a purse it's like it seems like you're gold digging on them and that he's not he doesn't want to be used for purses, you know Y'all it's it's a telemarketers. Oh God.  It's a recording anyway So if a guy thinks that you know, you're trying to get money out of them for a purse They're probably gonna say no, but if they think they're helping you fix your car get some tires, you know help you out like You see them as a hero. They're more likely to do it So if you want a person, you know, this kind of guy is very practical You got a lie and say you need some new tires or you need a part for your car Okay, and make sure you go and research first and make sure that it adds up because you know If he's that type of guy, he's gonna go look online and say, okay, this is how much they are This is how much I'm gonna give you blah, blah, blah, blah, blah, blah, right? So go do your research first ladies make sure if you drive, you know, a nice car Make sure you look at the price of the tires and then add up add them up and see if it equals up to the purse that you want Okay So he's gonna give you the money You know And if he says well, you need to go to this place or that place say my car's already there and they've done the work And so they're just waiting, you know for me to bring the money up there, you know Or they're waiting for me to pay so could you put it in my account because I've already given them my credit card number But I don't have the money in there to pay.  I don't know but y'all figured out just Use your brain. Okay So I know a lot of people will get mad and say, oh, you don't need to do that to people But you know if there are certain women who Are going to do this to guys and guys are willing to pay for them. Then that's not a problem You know, I always tell people the guys Who are most offended are not even targets, you know what I'm saying? The men who are most offended about these situations and videos. No one is trying to get You know three four thousand dollars out of you. Okay, so you don't have to be upset. Okay, because they're not a Problem for you. Okay. These are guys that have lots of money that that will throw it away on anything like A thousand dollars to them. It's like ten dollars. Okay, so if a thousand dollars It's like ten dollars to you then you're probably not upset. You're probably like, oh, that's just nothing, you know But if a thousand dollars is a thousand dollars to you then of course, it's gonna be like, oh, that's terrible But to these guys who make a lot of money. It's not a lot of money. You know what I mean?    Okay, those type of guys They don't mind. Okay, they really don't and it's not even a problem They don't like that guy that sent her four thousand dollars. He didn't care that she blocked him Soon as she called he was like, okay, come on, you know so I feel like if You're able to do that and benefit from it and not have to work and just live the lifestyle until you find someone to settle Down with then go ahead and go for it If you are looking for both love and all you know a millionaire That's gonna take a little longer, but in the meantime, you know, you can be practicing And sometimes you're not gonna get the love and a millionaire You might have to get love and someone who makes six figures But still you're gonna still have a good lifestyle because you won't have to work And you won't have to do all those things that someone that makes less money will do Okay, so sometimes you're gonna have to make a sacrifice, you know, you know You don't want to be with some guy that you're not really into that much And you know, he's probably not gonna marry you anyway because he's got all these millions He doesn't want to lose so you go for a guy with a high six figure salary If you want to settle down have a family and kids and stuff like that And that's easier and you know, eventually that he could become a millionaire if he's making high six figures You know, he keeps working in his career. He will eventually be a millionaire.  Okay, this is a miracle This is a married couple Okay, everything in America is based on money. Okay sad to say what it is Everything in America is based on money We don't have all those strict rules that other countries do when it comes to marriage and relationship and stuff like that we Are free to kind of pick and choose who we want how we want to marry What reasons we want to marry and what type of guys we want to deal with okay as women we have that freedom and that right, okay? so You know, we've already had boyfriends and true loves and loves and first loves like we're not virgins when we get married We're like, you know experienced women that know what they want and know what it's worth So a lot of you girls who are commenting from other countries y'all have to understand the American culture We are not virgins when we get married We have many partners until we get married You know, we get to pick and choose who we want or you know Or settle for whoever wants us depending on you know how we think but Most women want to live comfortably have a husband that makes good money so they can you know live a good life It's not about you know what you guys are thinking it's about because For example, if I were to marry as a virgin I would never have experienced other guys and I would always be curious and I would want to go figure it out And I'm like, oh, he looks like he's looks interesting I would be more likely to cheat because I've never experienced another person, you know And that's what happens in a lot of these marriages these men Get bored with that woman and they want to go cheat because they've never had another woman You know, and then they'll just up and leave and go to a foreign country where they can just do everything They want with women with no consequence. You know what I'm saying So y'all got to remember that American culture is very different than you know other cultures that Have you know stricter rules so Be careful, okay, I know like in my I know someone who was just arrested and Dubai but I think she was arrested for some other reason but I was reading online that if you kiss in public or You know, you have some type of Body language that's not appropriate if you have premarital sex You can get arrested over there. So their rules are very strict over there. I'm like, oh, no, I can never go there I've never go there like I mean, I probably could because like but not as a young girl like as a old as an old person right now Yeah, I could I could be fine over there But when I was younger, I would have got arrested or something but I could not go there Not as a young girl, I could probably go over there now because you know You know, I've done been been there and done everything, right? so I feel like You know if whatever your preference is That's fine.  That's all that matters you know, I'm just trying to help people because There are women out there who have what it takes to get these certain things and they just don't have the instruction Okay, so I'm trying to help them I've had many success stories many people get married many people meet millionaires many people, you know Getting to relationships with wealthy men because they watch this channel, okay And I've helped them. I've done consultations with them I've told them what to do and they've done it and it works. So You know It is you know, it is very possible And a lot of you a lot of women who live in certain states and cities are gonna have harder times finding what they want Versus of women that don't live in certain states or certain cities, you know, I mean like for example, if you live in LA There's a lot of competition there. Everyone's got plastic surgery. Everyone's beautiful. Everyone's trying to be a movie star You know, but if you come to another state or you know, no hardly anyone has plexus surgery Or you know, it's trying to be perfect and eat right so they can be on screen You're gonna not have this much competition.   You know what I'm saying?  It's gonna be easy for you Okay, a lot of people who come from other countries or move out of their state and they think oh, I'm gonna meet a millionaire I'm gonna go to California. I'm gonna LA. I'm gonna go to Beverly Hills. I'm gonna go to New York I'm gonna go to Miami, but they forgot everybody else is going there, too. Okay, so why would you go there? You got a lots of competition, you know So try to find a city or something or stay in your own town or something You would probably be better, you know, have less competition. No, so Yeah, I'm dressed up like mom today. I have to go to a school play So I have to look appropriate and cover it up and let the hair tamed and Neutral makeup on so I can be it with the other moms See I have to play the board. I have to play the role when I go out, okay Anyways, thank you guys so much for watching. I will see y'all on my next video if y'all have any questions put them in the comments and I will see y'all on Friday. I'm going live at 12 noon Friday Between 12 and 1 okay, so just keep looking out click the bell on the thing You'll get a notification when I come on when I release a video or when I'm alive It'll just ding on your phone and you'd be like, oh my god, I gotta go You know, I gotta go watch this video So yeah, click the bell and then every time I make something put something out or go live You'll get a notification through your phone. Okay, and I gotta go do something with this flat hair cuz I'm not feeling it I don't know. Oh no. All right. I'll see you later. Bye