Now it works. So, yes, I will just start my stopwatch such that we can drink coffee on time. Hello, welcome. And I guess you can already guess where we are and you can, some of you can guess who this guy is. And the guy's, his name was Heraclitus and what he said is that no man can enter river twice, the same river twice. And during this talk, I will tell you that, yeah, while this is true, sometimes you can enter for the second or for the first time, almost the same river. And since we are talking about the river, let's use a sailboat and there is somebody sitting on the sailboat there and let's treat Einstein as a qubit in our quantum simulator, which we have to control somehow. And naturally the life is a little bit cruel because we have to interact with stuff and in principle for this talk, what will be important is low frequency noise. But if we have low frequency noise, then we can do a little bit of measurements and maybe perform something like sail or perform coherent operations, which brings me very nicely to my talk and the talk will be indeed about reinforcement learning, aiding Bayesian estimation. And at the end of the day, we will see a qubit that is coherently rotating around, just something we don't control. My name is Jan Anderengschift, I came from the Netherlands, from Leiden, where I'm a postdoc in Aver's group. Aver had a great talk a few hours ago. There are also PhD students from our group, somewhere around the audience, but don't worry, there will be a pictures of them there about me coming here from the Netherlands. Also, ironically, I almost didn't get here because of the low frequency fluctuations of velocity in air called wind. Good. So I'm a part of AQUA as well and my task in AQUA is just to understand hardware limitation and basically turn the box into a feature, in fact. Good. So in particular, this talk will be about spin qubits. So just to make sure we are on the same side, on the same side, I will just share with you all of my knowledge about spin qubits in three minutes. So, well, in order to understand spin qubits and why they are relevant, first of all, I have to do this a little bit of explanation, spin qubits are at their infancy. Namely, we are working on two qubit gates. This is all we can have. Maybe some people have six, 16 qubits, but this is a very preliminary work and then understand what is the spin qubit. Well, you have to work a little bit in Leiden. This is in Leiden. We are looking at the wall of one of the buildings and this should commensurate the master thesis of George Ulembeck, who basically postulated that electrons has the spin. The thesis was all about it and the spin can be there are two types of electrons, spin up and spin down. So naturally, whenever there is magnetic field, the two energy, the two levels of the electron splits and splits by omega. So there's a nice qubit addressable with energy splitting omega. The problem is that if there is any source of random magnetic field, there is also a noise, delta omega, and this will be a crucial actor in my talk. And in fact, you can also model this delta omega. So how those nuclear spins, because this is usually the source of magnetic noise, how they are evolving in time, they are doing diffusion evolution, so something like a random walk. And basically, this is another wall from the Netherlands, but this time we walk from Leiden to Utrecht. And in Utrecht, you can find a prescription how to simulate something which we are calling Orshten Ulembeck process, also known as the brown noise. Okay, but to be honest, we don't really have to bother that much about the brown noise or it's an Ulembeck process because we know so chemistry people and they have a way of getting rid of those nuclear spins and basically replacing them by something spinless. And if we do so, we have again, very nice, healthy spin qubit. The problem is the moment we try to control it with electric field this time, we are unfortunately getting this random field again, delta omega this time is a charge noise, a little bit different noise, but again, temporarily fluctuating spin splitting. So altogether, there is a message. So somehow the control and the coherence of the qubit, they are interconnected with each other. Okay, why the idea? Why not use the noise to control the qubit? This is a little bit provocative question, but I will try to do exactly that. Okay, and having said that, there is another part when I'm showing off what I know and I know everything about the stochastic process, which I will tell you in five minutes. So, first of all, whenever someone says noise, you usually think of the white noise. So like vacuum cleaner, like a fan doing, ooh, so like a noise that is uncorrelated in time. And this is why the spectrum is flat. And the same noise like uncorrelated in time is used in many approaches to modeling open quantum systems, which are called Markovian because they are uncorrelated in time. Quantum optimal control, quantum error collection usually assumes the old one uncorrelated noise or quantum error mitigation. Good, so what, why I have a problem with that? Well, because in this approach, we are treating quantum device as static old TV. And so it's going shh, and the agents can come and interact with the quantum computer and like get some experience. He can do it again. So second experience and third one, and all together all of those pieces are different and uncorrelated. You can, for example, shuffle them around and nothing will change and you can do millions of interaction. And at the end of the day, figure out some effective model of your noise, but it doesn't, this model doesn't really care in which order you interacted with your system. And if you do this, you have something which we are calling Gorinikosakowsky-Linblad-Schudarshan master equation, which is used in many, many literature. Good, okay, so we are at this time. And obviously this is not all the processes that are happening in the nature. For example, okay, this was one citation which I forgot to mention. I read a little bit about the quantum optimal control and one of the papers I just learned that the specific question, so there are open challenges and it's a specific question to what extent all of the noise that is not Markovian, so not uncorrelated temporarily, to what extent the optimal control can be reached in all the non-Markovian system, it's still an open challenge. And in some sense we will attack this open challenge now. So sorry for this. But again, so what are other sources of noise and what other sources of noise you can meet in nature? So one of them is the pink noise, so one over F noise and you can hear it for example in the Netherlands very often when it's raining outside. So you can just listen to the sound. Pink noise has this feature that it has low amplitude in high frequency and high amplitude in low frequencies so it's generally slow. And example relevant for me is the charge noise. Also we have a brown noise and you also can hear it in the Netherlands a bit when it's heavily raining like yesterday. And it's even more low frequency noise and the relative amplitude and high frequency is even lower and this again is related to magnetic noise. So as you can see, pink hubris are rich in different colors of the noise. But the difference between them is even more striking when you look at the trajectories. White noise is where there is no structure whatsoever. Pink noise has a little bit of trend and brown noise is really like a very slow variation of something for a pink noise. So for a charge noise very recently people have been trying to counter attack and basically to correct for the very slow drift. You see there, you see the drift and people have been trying to correct for this drift but I would like to highlight the time scale on the X axis. It's like almost you can call this experiment calibration. So we call it calibration. Why I'm calling calibration? Well because my friends or our friends are a little bit better so the scale is different here and this is the experiment our friends in Copenhagen done and we tracked down this time of brown noise with much higher resolution and maybe it gives us opportunity to react. So this was the old publication and yesterday we just shared some improved version of it. Good. So let's say we have this trajectory. What can we do with it? Obviously there are more or less we can collect a single shot every 50 microseconds and as you can see on this time scale the field is barely changing. So why not forget about this field changing during single evolution of the experiment just update before consecutive algorithms, single shots and this is called quasi-static approximation and because we have a lot of those single shot we can just sacrifice some of them to learn about the noise. This will be the red dots and in green one we can do something. For example, your favorite quantum algorithm and other strategies would be to bunch it a little bit so like spend 10 shots on estimation and 20 shots to run algorithm or basically pick your poison. And one caveat, those indeed the green ones are any algorithm you want like quantum algorithm you would like to perform. This would be the operation of our quantum device, let's say but the red ones are the one which are estimation algorithm. So it should be simple algorithm, such simple algorithm that we can calculate probability of given correct answer and basically infer in Bayesian way what's the value of the parameter. So this red one should be simple green one. You call you name it. Okay, so the time has come to show you rotate a qubit that is being rotated and it will be rotating in the gallium arsenide spin qubits that this is less relevant. We concentrated on single triplet qubits so basically there is a way of turning two electrons into one qubit. If you are, yes basically if you have two dots and there is a little bit of exchange interaction and in fact this is the effective Hamiltonian of the system we have a knob, control knob and we have this completely random noise which we are not controlling, the average is zero. And because we have this control knob we will turn it to zero now. Yes, so basically now we have just the Hamiltonian which is completely stochastic. It's like it has a term which has zero average and this is why I sometimes call it quantum glider because it doesn't have an engine. It's just, that's its thing. And in this particular example basically the estimation and coherent rotation will be the same experiment but in, yes you will see the difference soon. So let's start with coherent rotation around the x axis by theta. It's rather simple. Yes, I have a gadget somewhere. I should have it with me. So we are starting, there is a way of initializing along the north pole, let's say, okay, perfect. And now we are going to let it evolve for time t and this is a very nice control, right? We have a Hamiltonian and we are just waiting some time for the qubit to rotate. You can think of this time as a, okay, of the whole experiment as an estimation of the bias of a coin and this toe is more or less the strength or like how high the coin goes. And of course the time is just too long then I don't know anything or like too small in this case. So basically this is like the strength of my toss. And in principle, if I'm not sure about this delta omega so at the evolution generator or like the rotation generator then from one realization to another I might make mistakes in the estimation and those errors in estimations are being directly translated to something which I'm calling gate infidelity. And now you can average, sorry, you can average over all possible realizations of your errors and by doing it you quickly realize that the gate infidelity is proportional to your uncertainty. So the width of the prior distribution or your knowledge of the system and yes, so it's like proportional to uncertainty. So the task would be to decrease this uncertainty in such a way. So kind of extract knowledge from the system and be more certain that the value of the field is given by something, by a constant. And in order to do it, we just need to use bias on estimation. This is why you see a train going through. Okay, so we do bias on estimation with exactly the same, more or less the same algorithm. So you rotate but this time, yes, you just rotate. The thing is the algorithm is so easy that we can very easily find the probability of measuring zero and one as a function of the delta omega and the time we pick, good. So we can invert the probabilities and update our knowledge. And now the task would be to pick the best tau. So how long this agent, how long we have to wait for the qubit to rotate such that our knowledge about uncertain parameter is kind of getting, the knowledge is improved in the optimal way. And again, here we have this notion of kind of waiting too long because if we wait too long, the initial probability distribution might become multimodal and we basically, we are losing a little bit of Gaussian structure of the prior. So the posterior is kind of, it is very complex and this would be another equivalent of doing it just too strongly. And finally, once we pick tau, we just measure and depending where we got plus or minus, we have new posterior distribution which can be fed up back to and treated as a prior for the next estimation. Perfect, so we did it. This is the experiment. I will quickly go through it. This is done in collaboration with Qdev. So with Copenhagen and those are two PhD students working on this subject. They're in black because they are PhD students so they did that hard work and I was just helping. So this is the experimental data. What they did, they just rotate the qubit by tau. So constant increments, this is the x-axis. Black ones are ones and white ones are zero. You clearly see for example here that for some time the frequency of those oscillations was faster and then it was relatively constant and because it happens and the frequency was a little bit changing while collecting the data, if you average them, you have a decay and we call it in homogeneous broadening or like T2 star like decay, doesn't matter. But we were clever so what we did, we just used each of those row to estimate the frequency. So this is how the frequency was evolving in this experiment and after each row, so we just take the row, estimate it and use this estimation to perform coherent oscillation to basically peak. So once we know what is the omega, we can now wait certain amount of nanoseconds such that the qubit rotates by given angle and in this way from the bed oscillations. We got almost stable oscillation especially here, there are stable initial decay comes from outliers so some kind of bed gases. And for some reason this guy is here, you can think about it. It's a little bit like Maxwell-Demond, right? So we are kind of looking at the random particles and opening and closing the gaps between the two systems. Perfect and we are getting better at it. So this is our new addition yesterday on archive. So now we are physically, so we know what is the model of the noise so you can propagate the distribution while we are not estimating. So we have a better way of kind of using the previous posterior as an X-bryor. We also can, we are now adaptive so the evolution time is basically inversely proportional to uncertainty. This is based on some AdVisenters experiment and this trajectory is basically generated by using only 10 shots for estimation which is really nice in my opinion. And finally Jacob in separate paper with our help, Mian Ebert, he thought about limiting memory of the whole thing and memory can be limited by saying we work only with Gaussians so it's enough to update the average of our knowledge and uncertainty. And yes, so there are now few things we can investigate. So first of all, how many of those things we can do online? Maybe some learning, maybe some agent this would be the rest of the talk but also there are separate topics which we are trying to investigate within the Aqua. So with Felix, one of our PhD students we are thinking about using a kind of physics methods to maybe propagate the distribution while we are not waiting. So you know, learn what will be the future distribution of the process just by looking at the trajectory. This is Doe Jones. Also with Ilse we just started to think about speeding up the readouts by doing a little bit of classification and maybe using even not discrete outcome but continuous outcome. But for the rest of the talk which supposed to be like a 10 minutes, I think so. Where is mine? Yes, I will concentrate on this part. So now let's define a game and define some kind of heuristics. So what is the game and how it should be played? First of all, why I would like to phrase it as a game? Why? Because in the literature, people have been already thinking about using reinforcement learning to improve initialization in this case. And the key element was field programmable gate array. So like a thing where you can program and put on top of your qubit and it's doing a little bit of logic for you. And they use it for initialization. They put it inside the reinforcement learning loop and the agent was either terminating initialization, flipping the qubit or like doing nothing. So it improved initialization but it was based on this Markovian approach. So kind of one step was independent of another step vaguely speaking. But our game is different. We have this slowly varying environment to which we can adjust. So we'll define actions as do an algorithm. In the simple case, this campus which I'm showing now, it will be a spin flip. So whenever there's a green dot, we are trying to flip the spin from the north pole to the south pole or the red one is just estimate. And for the time being as a heuristic, I will use this NV center motivated waiting time which is inversely proportional to uncertainty. Okay, so now results. First of all, I will present results on this plot. It has two axes, both axes are bad. So going vertically up, our algorithm is getting worse. So more time we are trying to flip while we are not flipping. So we go up and going, sorry, going right. We are wasting more bits for estimation. Also don't do it too much. We would like to flip a spin from time to time. So ideally, we would like to be there. The stupidest strategy of all would be to always flip. Yes, it would be to always, but there's also probably somewhere there was a parameters are used, they are trying to mimic this nuclear spins in silicon, more or less. Okay, so this is always flip strategy. It's like a reference, you should think of it as a limit of infidelity of zero estimation probability. So if we always flip, okay. And there are two strategy which we thought of. One is periodic. So just estimate every N shot or probabilistic. You just estimate with probability PE. Something happens here. I guess this is because periodic needs to have discrete steps. So sometimes it just doesn't work that much. But probabilistic is a good estimation, a good heuristic to beat. And my question is, can we get there by doing something, you know what? We will bring the agent to the game and try to learn this guy to play the game. So this is simple setup. This is why I left only three minutes to do so. So we will bring the agent and try to and feed him with the observation of the mu and sigma. The actions will be either to run the algorithm or estimate the field.  So we've negative reward if the spin stays as it is. And of course, if he is estimating, then we are updating the knowledge as I was describing. So this is the result what agent is doing in the case when he's not controlling time. So he's only deciding, let's flip, let's estimate. But if it estimate, it's using this heuristic what time to use. And you clearly see that as we are increasing the penalty for bad flip or no flip, and the agent is slowly going towards more wasted beats, so higher estimation, probability, but also lower infidelity. So as we expect, we go along this line. But it's on par with, let's say, the heuristics. Okay, but now we now let the agent control the time. And unfortunately, this would be a negative result now. It didn't beat the heuristic. But this is not the point here. I mean, I'm still happy about the result and I will show you why. Well, because let's look at this guy. How clever is this guy? What this guy is doing is first of all, tracking trajectories. Good, so you don't see two lines because trajectories are lying on the real values of the noise. It applies one over sigma strategy. So just to say, what does it mean? Controls time is just picking how long to estimate. So this tau time, this is what agent is picking. So he discovered one over sigma strategy. You see that this is how long it waits. And if sigma is small, it's just waiting longer. And if sigma is getting higher, it's just waiting shorter. And finally, you can look how the agent plays a game. So it flips this, but sometimes in order to keep uncertainty rather constant, sometimes it has to estimate. And basically in those six games, we have two errors. Good, it plays somehow. But my favorite one is this guy. So unfortunately, not that the best guy is my favorite one, but the most clever one. Why it's clever? Well, because it learns to flip only when the field was sufficiently large. So the black one was estimation, red one successfully flipped. Also, it just, it learns when it's lost. So it's kind of trying to flip and then, okay, something went wrong here. And you see that the real noise, the orange is kind of getting lost with respect to estimation. So the blue one is estimation, the orange is the real noise. Also, it correlates his uncertainty. So the sigma with the error he's making is an example of trajectories. The orange is the real noise. And in this part, he was not flipping enough. And basically he's of the real value. So he thinks the meal is something, but in reality, the field he's estimating is far away. But he has this information because the shaded region is a sigma he's assuming. And finally, he's using longer evolution time for small frequencies. And this makes sense, right? If my qubit is very slowly rotating, then I have to wait longer to see something, to see a contrast between zero and one. So he's doing all of those things. And I'm happy, yes. The question is, and this is what we will do next, is just to look at all of the strategy of this clever agent or maybe even breed a more clever one and try to learn from it, interpret the strategy and apply it to maybe create a better heuristic or apply it to more complex algorithm like two qubit gates or maybe even use two agents. And I know Jan is using two agents so I will try to ask him for help. Good. And this brings us back to the coffee break, but then my summary. So we develop matter for fast and the rest are sufficient estimation of the field. Now we are wondering, can we generalize it behind the brown noise but also deal with charge noise, for example? We use the agency to select whether we are doing the algorithm or estimation and the agent was kind of adapting to the current knowledge, to the current state of the device or the simulation in this case. The question is, can we do it on a real device and can we extend to more complicated algorithms and the next one in the queue would be two qubit gate? And finally, we had the agent which was clever, we had the agent which was on the par with a heuristic, I mean with heuristics but can we combine, can we beat the heuristic with probably some super clever agent? This would be exactly it. So thank you very much for attention. No, this was the slide. Thank you very much. Yeah, for this nice talk, so questions. Okay, so let me ask myself, which I'm not an, so what is the problem to generalize that for other types of noise? Okay, so the problem is that the noises are just fast. So for example, there was this trajectory of the noise which I can go back. So the brown one is just the slowest of them. And as I said, you can get rid of it by doing isotopical purifications. It's an expensive process, but still. And what you are left with is the middle one, so the pink noise. It has a little bit of drift, but it has also a tail of high frequency noise. So even if I'm estimating though that my field is something, in reality the moment after, it can just be off my estimation because it has a very non-negligible, amplitude of high frequency noise. You cannot use the control then. You can control, but it's not going to be as efficient as here, and the proof of principle is this paper, and what they achieved with relatively slow estimation is two-fold improvement of T2 star. So basically it's decay, it improved from one microsecond to two. For the scent of noise, because obviously the noise is quite often not white, but not brown, no? Yeah, so the thing which we are discussing now is just to combining this method. So just once you get rid of low frequency noise, you effectively have uncorrelated noise, so we can apply all of the methods for Markovian noise, so kind of, this would be just a method of creating high pass filter. So getting rid of the drift. Four o'clock with the coffee break, which is going to be 50 minutes, and we start four o'clock again here. Thank you very much. Thank you, dear speakers.


Look at this house. This is impressive. This is how you do Christmas. This is impressive. Hey, I appreciate it, man.  Hey, I'm a big Titans fan, a big fan of Christmas, so it goes together. On behalf of the Titans, I wanted to bring you some stuff. Hey, man, I appreciate that. I appreciate your love that you're showing the neighborhood, the whole world. Oh, yeah. Because, you know, it was on the news. So I got some stuff here for you. Oh, man, I appreciate that. All right, look. It's cold outside. Hey, man. Look, here. And look, you don't even have a hat on right now. Hey, man. My mother would worry about you. So there you go. Thank you, man. Hey, I really appreciate it. And look, I know you've got plenty of light bulbs, but should one go out, we've got another blue one in there. I think I was missing just one. Just the one. That's the one. That's what the Titans are good for. We've got an ornament here. Let's see. I think we've got a couple of ornaments. Look at that. Hey, man, I really like that. Beauty. I appreciate that so much. Beauty. Now, one other question, though. What about your power bill? Is this one your power bill? Not much. It's called LED pixel white, so it goes up around 80 to $85 a month. That's some change. It's worth it. Hey, hold on. You know what? There's one more thing. Hold right there. I knew I left something over here. I'm a terrible Santa Claus. I always leave my gifts. So how about this to help you out, Eric Goodwin? On behalf of the Titans and Panico Financial. I really appreciate that. A little extra cash, $500 to help your electric bill. How about that? I appreciate that, guys. I didn't expect anything like that. Hey, that would give me something to upgrade next year. I always like to add something. Right? I'll add something new with it. Look at that. He's not even thinking about his power bill. He's going to add to this. This is great. Wow. I appreciate it, guys. Thank you so much. Hey, man, we appreciate your love of the team and what you've done for us. Titan Up!


you know you'll quickly hit a wall in life if you believe that digging down deep all the time is necessary for everything you're struggling with because it's not.  All of these are I suppose symptom accommodation things because you're deciding I'm gonna I'm gonna handle it that way for now. I'm too exhausted, I'm too tired to dig down deep about this. People live exhausted all the time so the idea of digging down deep to fix something is not an option for them and that might be true for you guys too. Don't feel bad that today you're accommodating managing a symptom that you know is indicative of a deeper wider issue just be aware of that that's all and do a little bit of digging on it later when you feel a bit stronger and safer and more able to do some of that. Believe me this comes from a lifelong digging down deep person. Sometimes you've got to take a break from all that. Love you guys


Daily Tech News show is made possible by its listeners, thanks to all of you, including Brad, Kevin and Paul Teeson. Coming up on DTNS, we finally found a useful way to gauge Bitcoin's effect on the environment. Plus, what Shannon Morse, known coupon expert, thinks of Amazon's digital coupon program, and what Shannon Morse, known security expert, thinks of Europe's new cybersecurity directive. DTNS starts now! This is the Daily Tech News for May Friday the 13th, 2022 in Los Angeles, I'm Tom Merritt. Ooh, and from Spooky Studio Redwood, I'm Sarah Lane. Spooky-o Redwood. Ooh, from Haunted Colorado, I'm Shannon Morse. Drawing the top text on it from Cleveland, I'm Len Peralta. And I'm the show's producer, Roger Chang. Yeah, doesn't need to add any spook. Yes, he's spooky enough on his own. He's just who he is. Just ask my kids. All right, let's start with a few tech things you should know. Elon Musk tweeted on Friday that his deal to acquire Twitter is temporarily on hold pending details supporting calculation that spam fake accounts do indeed represent less than 5% of users. He followed that post with another that said, still committed to acquisition. Some people are wondering if that's true. The 5% number came in a May third story from Reuters. Musk would face a $1 billion fee if he decided not to close the deal. He waved due diligence in the April 25th agreement to buy the company. In a totally separate story, I have no idea what constitutes stock manipulation. SpaceX's internet service Starlink expanded its satellite internet service availability to seven more countries for a total of 32. Service areas cover most of North America, outside Alaska, Northern Canada, most of Europe, outside Upper Scandinavia, New Zealand and Southern Australia, Southeastern Brazil and most of Chile. SpaceX also says it's now shipping equipment to customers immediately. If you recall, customers have reported waiting months after signing up to get their equipment. No more says Starlink. Security researcher Brian Krebs received a tip that unauthorized users obtained login information to the law enforcement inquiry and alert system on May 8th, which he passed along to the feds. The system provides search capabilities into 16 federal law enforcement databases, including law enforcement sensitive and mission sensitive data. Based on screenshots shared by the tipster, UC Berkeley researcher Nicholas Weaver said that the actors could both view records and submit false records to the system. The U.S. Drug Enforcement Administration says that it is investigating the reports. Now, we've heard a lot of tech companies slowing down, but Gogoro is powering up, bucking the tech down turn. Taiwan's electric scooter company reported a 61% rise in revenue and Q1 driven by an increase of sales in Taiwan. 25% of two wheel vehicles sold in Taipei in December. We're using Gogoro's battery swapping tech. Gogoro also reported a reduction in production cost per scooter. Subscribers rose 25% to 467,000. Gogoro has been trying to expand outside of its home market too. Right now it accounts for 95% of its revenue, so it would like to diversify outside Taiwan. Gogoro has a partnership with Gojek's Electrum to build infrastructure for two-wheeled EVs and batteries in Indonesia. Bloomberg sources say that Samsung began informing its chip making clients that it will raise prices 15 to 20% with chips made on legacy nodes and seen the biggest price increases. The increases will be applied to the second half of 2022. Earlier this week, TSMC reportedly informed clients of a single-digit price increase effective at the start of 2023, so seems like we're seeing a trend here. Yeah, and we're probably going to have higher priced electronics as a result of all of them. All right, we'll need to save some money then, Sarah. Oh, well. Any ideas? Yeah, so Amazon has introduced a feature in its, we'll call her a app, Amazon Assistant called shopping list savings that combines in-store purchases with Amazon credits, but it's something that you can do outside of Amazon. So here's how it works. You go to the shopping list section of the app, you click on savings. You look at rebate offers in the app, you add them to Amazon shopping list. Maybe some of them apply to things that you want to buy. You then buy stuff at a store. Then you take pictures of the itemized receipt, show in the store's name, location, date, time of purchase, basically proof of life. I really did this product price, total price. You upload that to the app and then you scan the eligible product barcodes. Up to a week later, if all works correctly, as Amazon describes it, you get rebates added to your Amazon gift card balance. Now this sounds pretty great for anybody who's like, I use Amazon a lot, but I also go to other places and it would be nice to get a little kickback from Amazon. Shannon, I know you're no stranger to coupons, how you can save a lot of money. If you're on top of things, if you're kind of following where the money is, does this feature appeal to you? And is it too cumbersome? That's a good question. So personally, it does not appeal to me anymore, but had you asked me this like five years ago, I would have said yes, absolutely. I will totally do this because I was using A at that time. Now I have moved on to other forms of smart home hubs and I no longer use Amazon's products as my main source of shopping lists. So now it would not appeal to me, but when I was extreme couponing, I would have absolutely been on this because there are definitely ways that you can use these applications and get free stuff, which is very cool. Yeah, I mean, the idea of coupons has been around since shopping was around, right? Oh my God, so much, yeah. Yeah, I mean, couponing takes many forms. It seems like Amazon is trying to bring you back into the fold by saying, hey, let's work with where you're already going, even if you're not shopping from Amazon all the time. We'd like to have that data about your shopping habits too, not just your local store. Right? Well, exactly. It makes sense, right? Because even though now I no longer use these kind of applications, and to be very, very factual, there are plenty of these kind of applications available. I used to use one called Ibotta and another one called Checkout51. All of them basically work the same.  In some cases, that rebate would be a gift card. In other cases, it would be one or $2 to your PayPal account, which you could then redeem for whatever you wanted. I preferred that way because I wasn't stuck in any specific merchandiser, and I could use that money wherever I wanted.  Well, yeah, so my next question is, sure, everybody likes some free money, right? Or something that feels that way. But on the privacy side of things, here's what Amazon says about this new feature. Quotes, we will get any information you provide, including receipt images and information we may extract from those receipts and the offers that you activate. You understand and acknowledge that your personal information may be shared with Amazon's service providers. The information you give to us will be used and shared as described in the amazon.com privacy notice. Does this give you pause? Yes, it does. This is, again, very similar to the other couponing applications. All of them in some way, shape, or form are paying you for your data. So even though you might end up getting something for free, like some kind of physical merchandise, you're still giving away some kind of data, whether that might be your shopping trends, your location, both your receipt information so they can see all the other stuff that you would normally buy in a shopping trip. There's a lot of data that they can collate about you to create kind of a personality about who you are, and then they can target you with ads. So in that way, that's one of the reasons why I stopped using these kind of applications and also because I didn't find it to be worthwhile given it does take some time because you have to scan all these barcodes and you got to scan the receipts and all of that requires some manual labor. Yeah, that's the downside, right? Is that Amazon, as it emerges as an advertising player, isn't going to get as much data from people because they won't go to the trouble to scan all of the private data in for them. But otherwise, it's pretty genius for Amazon quickly becoming an advertising company just like Google. Yeah, and I realize not everybody is going to care about the security aspect or the privacy aspect of these kind of applications. They'll be like, hey, I'm saving money so I don't care, they can have whatever they want about my shopping habits. And you'll see the same thing with loyalty cards from your grocery store. Like you get coupons for those too. One of the nice things about these is that you can stack coupons whenever you're using these apps. So if you get like a physical coupon in the mail from the manufacturer, you can take that like tide detergent coupon to Target, use it on top of Target's discount, and then you can also use it on top of this application. So you can definitely like a bulk discounts and end up getting something for free. But is that discount worth your privacy that you're basically giving away? That's the big question that I want people to ask. Well, you mentioned Ibotta, you mentioned Checkout51, Fetch Rewards is another company that's doing sort of a loyalty program like this.  I don't know, is this so bad? I mean, does it get worse? It can, absolutely it can. I mean, think about it. It might not just be Targeted Ads. It could just be like information that they're selling to third parties. They could sell information to maybe insurance agencies. Like you never know. Like what if they're selling that kind of information about what you're eating to a health insurer? Like we don't really necessarily know who's giving away this third party data. So you really want to take that into perspective and think outside the box of just like, yeah, they're selling my data so they know what to target with me with on Instagram while I'm browsing the web. Yeah, you may not mind, but you should know. And you should think about it carefully. Indeed. Speaking of security, early Friday morning, representatives of the European Commission, Parliament and the EU Council agreed on the details of the Network and Information Security Directive 2, NIS 2. This will be an update to NIS 1, which was just called NIS. That was passed back in 2016. As with most of these recent EU Directives we've been talking about, the final text is not yet available. It has to pass through a process of approval by the European Commission, which involves the nation states, the parliament, which involves the representatives, and then it has to be passed into law by each of the member states. But Shannon, tell us what they're saying will be in this law once that's all done. Okay, so the directive itself covers medium and large companies. So not necessarily all companies and organizations, including government organizations. In addition to IT, financial businesses are included. It also covers wastewater and waste management, manufacturing, food supply, all of these kind of supply chain type businesses, space, there's postal and courier services, public administration, both at central and regional level in healthcare, including medical device manufacturers. So more than 100,000 different organizations will qualify under this new directive. All right, so it's an expansion of who has to do all this. What are they gonna have to do now? Well, it seems pretty logical in my perspective as somebody who's really into like security and privacy, they'll have to set up and audit some kind of security response plan and that includes risk management features too. So kind of working before you actually get hacked to make sure that your plan is in place. They have to meet a minimum requirement of security technologies to combat any kind of attacks or they could potentially face fines. And that includes patching software in a very timely manner. So anytime you hear about these kind of vulnerabilities that come out from time to time, they will be expected to patch those. And they also have to notify authorities about incidents. This is pretty interesting within 24 hours and they have to provide a full report within three days. That's really quick. Yeah, so they're basically making best practices the law. And then there's also the idea of sharing information across the EU and there's a new agency for that. Right, yeah. It's called the European Cyber Crisis Lays and Organization Network, aka EU Cyclone, which I love. They will coordinate responses to large scale incidents at the EU level. And then this will be able to encourage increased information sharing between member nations and coordinate vulnerability disclosure as well. You mentioned the fines and I found this part interesting. The fines are set at 2% of turnover for operators of essential services, 1.4% for what they call important service providers. I guess water would be essential. Maybe some of the others are just important. These were set to be close to what ransomware groups generally demand. The idea is to make not preparing as costly as actually getting breached so that you really don't have an upside to being like, well, maybe we won't get attacked and then we'll save some money. No, you're gonna get fined if you don't do that. So what do you think of these rules overall, Shannon? So personally, and I know that a lot of people in the hacker industry will be like, no, no government regulations. But in some cases, I feel like regulatory powers need to be in place in order to kind of force companies to actually take action and be proactive about that action. And in this case, I would rather see a company be safe and secure and keep my data safe than them fall negatively to popular opinion because of a hack, because they do fall victim to an attack. And I realize a lot of companies may look at this and think, okay, the fines may be equal to what a ransomware payment might be, but you also have to consider they might have to pay a third-party cybersecurity company to come in and do risk management, to do a penetration test. And that can cost tens of thousands of dollars. So there's a very, very expensive upfront cost that businesses have to consider in order to fall in line with this directive. But I do think it's important because it's worthwhile. Yeah, it's interesting. You can make the argument that the government is putting a cost on companies, but usually that argument is around a cost that is optional. These should not be optional. At least I don't think so. These are things that companies risk themselves and others, others personal information or other services, in the case of water, if they don't do them. So it's sort of like a public safety measure in addition to a regulatory measure. I mean, medical device manufacturers, it's so important to make sure that those aren't vulnerable to some kind of heart implant, being able to be vulnerable to a Bluetooth hack. Those things do happen. We've seen those in the news. So protecting against this is so important. Yeah, if you have a different thought about this, if you're like, well, you could still protect public safety without the regulation if you do X, Y, or Z, or maybe you have other thoughts on this or anything else we talk about. Our email address is feedback at dailytechnewshow.com. Well, a lot of our DTNS audience has been asking us to address the environmental aspects of cryptocurrency, you know, carbon footprint, et cetera. Generally, you see critiques of cryptocurrency compared to its big energy usage to that of a nation like New Zealand or the Netherlands. So Tom, I know you've been reluctant to discuss this before now, why is that? Yeah, because those comparisons are an emotional appeal to make a number sound big and maybe the number is big or maybe it really isn't that big, it just sounds big. And so I find the comparisons uninstructive. It's literally apples and oranges. I can compare the power usage of data centers or your favorite political party to New Zealand or the Netherlands, et cetera. And it also doesn't factor in whether or not renewable energy is used in any of these things, including New Zealand. So I just haven't found it very useful.  I'm just like, I want to see some actual data to help me make up my mind. So I finally gave up trying to find a comparison of the banking industry. That's what I kept looking for is like, okay, can we find out the actual like electrical usage of the banking industry? That's hard to pin down. And it's not exactly apples and oranges to compare the banking industry with cryptocurrency. But I wanted to find a useful one that could account for all the subtleties and actually be at least close to comparing like with like. It sounds like you found a comparison then. Tell us more. Yeah, so I got to this point. The reason we're concerned with power usage isn't the power. If all the Bitcoin were suddenly solar based all the overnight, it would change the entire conversation, right? Cause what we're concerned about is whether Bitcoin's power usage is irresponsibly or out of proportion contributing to greenhouse gas emissions. It's not the actual power usage. It's the power that has to be generated and whether that's emitting carbon dioxide. So today I decided this morning to just look for comparisons of greenhouse gas emissions. And while I could not find a reliable estimate AKA one that wasn't put together by a private company promoting cryptocurrency. There's one out there from a company called Galaxy, but they're a crypto company. So I'm like, it makes me a little queasy. I did find an estimate of the emissions of the total gold market from the gold industry. Okay, all right. Let's talk about gold. Who are our sources here? Yeah, for gold emissions, I'm using a number from the World Gold Council. That's not made up. It's 31 gold mining companies. These are the companies that actually mine for gold in 45 countries and they are advocating for sustainability in gold mining. So if these numbers are tilted, they might be tilted to make gold look a little less emitting because they're trying to do better, but they are generally accepted as a pretty accurate estimate. For the Bitcoin estimate, I used an outfit called Digiconomist, which describes itself as dedicated to exposing the unintended consequences of digital trends. Now they talk a lot about cryptocurrency, but that's not the only thing they talk about. It's an economist named Alex DeVries and typically cites all the work. You can go and double check it yourself. It's very rigorously done from an economic perspective. If there is a slant, it might be a slant towards trying to prove that Bitcoin admits a little more carbon dioxide. But again, it's fairly well respected. All right, so drum roll, everyone. What did we find? Right now, comparing gold emissions and Bitcoin emissions from those sources, it's about a tie. In 2019, the World Gold Council estimated greenhouse gas emissions of the total gold market to be 126.4 megatons per year. Digiconomist estimates the carbon footprint of Bitcoin at 114.06 megatons per year. Oh, that is close. Now, notably Bitcoin energy consumption has been rising. It used to be a lot lower. It continuously goes up until around December when the market flattened out. And of course, we're also seeing the market dive now. So those megatons per year might actually go down, but they've been flat since December. Okay, so if I understand my math correctly, the use of Bitcoin is right around as bad for the environment as the use of gold. But and Bitcoin has crashed recently. We've talked about that in some respects and some of you are following that closely. But if it were to skyrocket again to get really popular, this would get worse, right? Yeah, my personal blockchain validates that conclusion. Great. So Shannon, you've listened to all this. Basically, Bitcoin right now emits a little less than gold. They are not exact comparisons. But I find that the usage of gold is probably around the usage of Bitcoin. We're not all paying for things with Bitcoin like we are with cash. So how does this affect your opinion of this? Yeah, I was quiet for a reason, Tom, but now I feel like I'm going to have to call myself out. I do own Bitcoin. Oh, no. And I'm also one of those people that is very pro like recycling and being environmentally friendly and everything. So I do try to keep all that stuff in mind. This actually makes me feel not as bad about me being a villain. About holding the Bitcoin? Yes, it's true. I thought it was a lot worse. You have to feel like a villain to participate. Oh, well, thank you, Sarah. I obviously thought it was a lot worse. I thought and like being from a banking industry where I used to follow that stuff very closely and I was working within that industry myself. I thought that Bitcoin was much, much worse and seeing those numbers and seeing that comparison give me a much better perspective and I feel a little bit more neutral about it. Yeah. And I don't think it's good. And like everything with Bitcoin, it's also more volatile than gold, right? Like gold is pretty established. We're not, we're not, you know, opening the thing you buy when yeah, everything else is volatile. So gold's probably going to stay around 126 or go down as the World Gold Alliance works to try to reduce emissions. Bitcoin has some people trying to reduce emissions. They're doing things like proof of work instead or proof of stake instead of proof of work with Ethereum. But Bitcoin itself is always going to be proof of work. So it as it gets more popular, it could get worse. To me, it's not about like Bitcoin bad Bitcoin good. It's what are the risks? What are the impacts? And these numbers give me a better sense of what those are. It does make me wonder like other than getting solar, etc. etc. If I'm mining Bitcoin myself, what are additional steps that I can take so that I'm still investing in my future? But I'm also very much focusing on the planet that I'm living on. Yeah. Well, solar is an option. It's certainly an option. Wind power, trying to get on a renewable energy system, maybe buying carbon offsets, although that's a whole can of worms as far as it's effective and all of that. But yeah, it's certainly it's achievable to make it sustainable is what this number tells me, even if it isn't there yet. Well, speaking of sustainable, you may have heard of a company called EcoFlow that makes large scale batteries. You may already be a customer. Tom, I know you are one. You may not. You might also be going on a road trip this summer somewhere where it's going to be really hot. The company has launched something that it hopes solves your problem. A portable air conditioner designed to give camping or driving an RV or anyone living on the road, even more of a reason to buy EcoFlow products. The new EcoFlow wave is a portable air conditioner claiming to have the world's most powerful cooling and the longest runtime. The unit weighs 38.58 pounds by itself. So it's not light 55.98 pounds with the 1,008 watt hour add-on battery attached. The wave portable air conditioner is available at $300 off for early birds for $1,200. So you're getting a discount. If you really care, a more expensive option bundles in its Delta power, Delta pro power station for $4,000. So this is not this is not cheap stuff. But man, if you want to stay cool, it'd be nice. I love my EcoFlow. I use it as a as a safety battery. I've got a solar panel for it that I can use to recharge it. We don't have a lot of power outages where I live. But the one time we did use it, it was great to be able to just like plug all our phones into it and be able to use 5G and all of that. So I like the company that make a good product. I have no idea if I need an outdoor air conditioner, but you know what? I haven't been outdoor camping when it's super hot. So yeah, it sounds very decadent at the same time.  You're hot. This would this would be nice. Yeah. And Nick with a C is asking whether this is a swamp cooler. Roger had the same question and we couldn't find an answer about that. It does seem to just vent out the back. So definitely meant for sticking its butt out the tent door or out of the window.  It's an interesting one though. If anybody has used this, if you've dropped the $1,200, let us know. Feedback at DailyTechNewShow.com. Speaking of which, let's check out the mailbag. Let's do it. Ray in Tampa, Florida says, I just heard your discussion on the wireless charger uses at home. I don't know if this has been mentioned in follow up episodes, but to me, a strong use case for this is fire alarms, not having to deal with that annoying chirp and then suddenly realizing that you don't have any 9 volt batteries in the house would be heaven to me. Ray, I feel you. Definitely. I hear you. Nailed it. I see you. Yep. Yep. That's a million dollar idea, Ray.  It's the chirp. One thousand percent. Someone invent that, please. Yeah. I think it's invented. Well, it's the fire alarm that could do this is already invented. We just need the good wireless charging system to finally take off, right? Right, right. And then Reagan wanted to chime in about companies choosing a hybrid model for work.  Reagan pointed out some companies are required to maintain some level of occupancy, maybe 60 percent for tax incentives on new campus buildings. I don't know if this is true for Apple, but I know it's true for a few other companies that are starting their three days in office policies and some of those policies were waived during lockdowns, but they are now back in force. So that's a very good point, Reagan. Yeah, definitely something I hadn't really thought about. It's not so much just about like, oh, are we going to make our employees mad by making them commune again? It's what's best for the company and the office space that they have. The city may have given them a tax break on the idea that it'll bring business into a downtown area. Exactly. And then, yeah, what do you do when no one's coming anymore? You got to figure out something. Well, so many things to draw today. Len Peralta has been drawing them. Len, what have you drawn for us today? Well, leave it to the cartoonist to take a pretty complicated subject and bring it down to its base level. You talked about gold versus crypto, the emission comparison. Well, I kind of took it a different route. You know, here is gold and Bitcoin sort of, you know, kind of whoever smelt it, dealt with the emission comparison between the two of them there.  It's metaphorically exactly what we were talking about. Gold and Bitcoin in a ring emitting. That's right. That's exactly right.  Come on, don't sell yourself short here. You can get it. It's right there right now for you to download if you are a member. You can also get this on my online store, lenneparaldestore.com makes a great gift, you know, for Father's Day, of course, for all the crypto relatives in your exactly. There you go. It's great for everybody. We've got the right audience. That's for sure. Also, Shannon Morse, thank you for being with us today. Let folks know where you've been up to and where they can keep up. YouTube.com slash Shannon Morse as usual. And I am currently scripting a Radon mitigation and a Radon sensor review slash upgrade video. And it's so fascinating. I absolutely loved getting super geeky about it. So I feel like y'all might as well. So please subscribe if you're interested in learning about Radon because I didn't know it existed before I moved here to Colorado. And now I'm very, very aware. Yeah. So yeah. YouTube.com slash Shannon Morse. It is not the Canadian actress. No, no, it's certainly not. It's very dangerous. Well, you know, maybe she is too. Radon Johnson is pretty dangerous, too. Well, thank you, Len. And thank you, Shannon, as always for being with us. Also, thanks to a brand new boss that we have. That boss's name is Dillon. Dillon just started backing us on Patreon. Thank you, Dillon.   Yeah. No emissions at all. Yeah. Yeah. Thank you. Asterisk. We can't account for all emissions related to a clash. Yeah. Not sure. Not sure. But we'd, you know, we thank you all the same. Also, there's a longer version of the show called Good Day. Internet rules on right after DTNS. If you're not familiar, do check it out. Patreon.com slash DTNS. And just a reminder, we are live Monday through Friday every day for PM Eastern twenty hundred UTC. Find out more at daily tech news show dot com slash live and we hope you have a great weekend. See you on Monday. This week's episodes of Daily Tech News Show were created by the following people, host producer and writer Tom Merritt, host producer and writer Sarah Lane, executive producer and Booker Roger Chang, producer, writer and host, Rich Strafilino, video producer and Twitch producer Joe Coontz, technical producer Anthony Lemos, Spanish language, host, writer and producer Dan Campos, news host, writer and producer Jen Cutter, science correspondent Dr. Nikki Ekremans, social media producer and moderator Zoe Deterding, our mods, Beatmaster, W. Scottis one, BioCal, Captain Gipper, Gadget Virtuoso, Steve Guadirama, Paul Reese, Matthew J. Stevens and J. D. Galloway, modern video hosting by Dan Christensen, video feed by Sean Wei, music and art provided by Martin Bell, Dan Looters, Mustafa A, ACAST and Len Peralta, live art performed by Len Peralta, ACAST ad support from Tatiana Matias, Patreon support from Dylan Harari. Contributors for this week's shows include Lamar Wilson, Scott Johnson, Justin Robert Young and Shannon Morse. Guests on this week's show included Ayaz Akhtar and Nicole Lee and thanks to all our patrons who make the show possible. This show is part of the Frog Pants Network. Get more at frogpants.com. I hope you have enjoyed this program.


Everybody forced here ripping 2021 and 22 tops chrome baseball Five box jumbo mixer number eight random teams check out the results right here. You can always find these elate in sports cards.com Thanks everybody for joining. Good luck. Let's go ahead and get started There's a link in chat for these and again, you can always find them on the website Start with 21 then do 22 then do 20 so 21 up first 221 222 and 120 Yeah, cowboys did not play very well at all and they're a tie to half time So they're in pretty good shape. It looks like as much as I like to see Mike McCarthy losing his return to Green Bay I just can't stand the Packers, dude Guess I got over the cowboys so weird baseball out to a prism Laureano a's refractor Sonny Gray Kiriloff base rookie present powered Devers 6to rookie base auto Yankees Davey Garcia Refractor of Will Smith a few dings on some of these base cards here. It was base though Niko Horner future stars prism rookie under his hymn and as Mets you go Mets the refractor of Matt Chapman Same thing with these base. Oh, that's a nice color coming up though. All right. Come on. It's auto as well Gold wave rookie auto of Alex Kiriloff Nice card twins 19 out of 50 There we go Good stuff there refractor of Arietta for the Phillies was like Arietta Football is later. I'll give you a link to the schedule. So I have another baseball break some Star Wars some basketball as well Baseball Posada prism Mike Clevenger Padres refractor Jacques Peterson Gavin Locke's future stars Joey bar. We got a magenta Xander Bogart's Red Sox 9 of 399 Refractor ocky Casey Myers Tigers where you think Xander's gonna end up. I don't know either It's gonna be an interesting landing spot though Red Sox could I think if all things are kind of close He goes back to the Red Sox and I think he does like being there, but I Don't know. I don't know how the it's impossible to say how the Red Sox feel it bringing it back prism 100 Ryu Blue Jays Rookie 86 design auto Casey Myers Tigers 44 of 50 Good box here. This is a really good box actually refractor rookie Cleveland Tristan Mackenzie The prism him and as the gold wave Kiriloff and then the Casey Myers the 50 It's good posh a rookie Bart boom Garrett Cole Xander Refractor of DeGrom Geez man chief number one see the AFC now, right? Zach Gallin future stars rookie prism Adonis Medina Phillies a green wave of Michael Conforto Mets 7 of 99 and a Joey Bart rookie auto Giants Who holds refractor say guys just one-on-one random team style Origins football random team style Origins tiered random team case and the football mixer left for tonight with spots guys Kunya refractor Joey Gallo if you're looking for baseball breaks Matt's live at 10 a.m. Eastern tomorrow with more baseball breaks Jazz Chisholm or no, Hazy Sanchez and Dylan Carlson there Prism Reese Hoskins Phillies base rookie auto Mariners is Johan Ramirez Our refractor Man week from now World couple have started Jake. Can you believe that? I'm so excited future stars are kitty Peter Lonzo aqua wave you Darvish Cubs numbered 196 and 199 and refractor of willy dummies Do the dummies went off this year. He was their best hitter on the proers for both raised legends That is true. He did do that Maybe the Red Sox can trade back seas Vlad jr. Prism Nick Castellanos reds factor of Josh Bell Shane McClellan and rookie McKenna Mount Castle rookie Matt Olson Tatis rookie refractor auto Luis Garcia Astros number 397 to 499 the most annoying wind-up of all time Jose Kenseko canceled his autograph show today Honestly, that sounds like a Jose Kenseko move. I've ever heard one Future stars as Ardo prism Chris sale. I'm sorry that happens Kershaw refractor Doesn't sound like a very cool thing to do. Why do you cancel it? Brian Hayes rookie rookie auto Jared Oliva pirates refractor of a beaver baseball Johan Moncada prism rookie Nick Madrigal white socks Refractor McCutchen missed his flight Future stars Mike Brasso Orioles right mount castle 86 design magenta speckle hobby bias cubs number 55 out of 350 Is this finance area rookie refractor d-bags Dalton Varshio? He did he miss his flight because of the therapy you think is that what happens? That sounds like that's what happens See you prism trevor story Rockies Rookie auto Cardinals is Roelle Ramirez Fractor Contreras Wilson Contreras Yeah, that's true Rory. It's too inconsistent, you know Need everyone else stick to There's a jash Chiz on base Joe Adele Luis Castillo Sorry if this looks a little messy guys is because a lot of the cards are a little a little kind of like They cling to each other a bit old chrome cards do Colonel worth rookie Future stars Solak prism Dallas Keigel white socks blue rookie auto nationals sterling sharp 126 of 150 and a refractor of JD Martinez So we'll report that first that can take a missus flight because of that area. All right. We got it We got the scoop Dylan Carlson frity freeman refractor Next Sunday the world cup Prism Max Kepler twins rookie auto Phillies Jojo Romero And rookie refractor Paredes tigers last pack of 21 William Contreras Kiroloff Future stars Jordaan Cabrion Hayes 86 rookie purple JD Martinez red socks numbered 239 of 299 and a Nelson Cruz twins refractor Mr. 2022 This is where we fall behind Cal Raleigh Prism Lancelin white socks base rookie auto Rangers Curtis Terry Rookie refractor nationals Riley Adams Oh, yeah 2022 is is this year pinstripe Peter Lonzo george springer 87 Kyle Lewis refractor new classic so tani aqua tati spadres number three of 199 prism Kevin Gosman blue jays alejo Lopez rookie base auto reds to they Guys in the chargers have a chance tonight I think Niners got it tonight part of the city hater 87 lewis robert Provence Contreras blue ray wave rookie auto For the pirates is that part of the card on the left there? Oh, yeah, that's his glove outline. I was like, what is that? This is glove Number 83 150 pirates solid hit there rookie refractor McCormick astros Get everybody personal will resume tomorrow No personals tonight get on Sundays. We typically do them during the day For a much longer period of time than we do at night normally a cuny new classics purple speckled tray amber jay rookie for the reds Number 178 of 299 prism McMahon Rockies chris Bryant refractor Garcia Olson refractor brandone commanders beat needles tomorrow night I don't think so Carson wens revenge game Tim Anderson Miguel Cabrera refractor rookie Zach Louther Orioles. I don't think it will Panthers aren't terrible, but yeah Wander franca rookie for the rays Prism louis garcia astros rookie refractor auto cubs adolfo or alfonso rebus 495 of 499 refractor of joey gallo How do you think it happens dug? They just play really good defense against them pretty much Future stars magical pita lanza refractor kershaw New classics wander prism Zach wheeler refractor yachty malina christen yellich magenta speckle mike moustakis reds number 253 of 350 Gavin sheets auto kyle seager mariners Interfractor jose barrios blue jays Yeah, sure. I think I think just about any name that they had considered would have been better than commanders Honestly, I don't know what you mean. She know you don't have to do anything The break will take place Um, you can rewatch on youtube if you miss it Prism null and aren't auto cardinals refractor walker bueller, and then we'll ship the cards once we get them sorted and packed Oh, that's it Yeah, we automatically ship whenever we get things sorted and ready like as as they Leave here and go get sorted and packed and shipped. I'll leave the door Unless you want us to hold for whatever reason Part of the city miguel cabrera vidal brujan jose amir as refractor So i'm gonna advertise for now and rory Breaking breaking with lsc is like buying cards with free entertainment and top letters President shane beaver guardians So i'm gonna advertise it and refractor, uh, not rookie, but auto neat pierce and blue jays Pretty much a rookie still 152, uh 499 refractor erin judge He thought that he was gonna miss the flight because of diaries. That's what they would lose Oh, it was a nice color coming Come on, please be big name orange wave justin verlander pretty nice.  It's gonna be awesome Healthy sail might i might add Dude, what if sail starts like 50 games next year? How amaze would you be? It's it's impossible, right? It's impossible. You can only start. What about 35 years? I still think it's kind of impossible Prism any much out of Padres refractor trevor rogers unless he starts like every fourth dude if he starts 25 games how insane would that be? pretty well Ben striped matt olson christine yellow tricky auto cleveland gabriel aureus refractor max read braves football mixer link Prism jackson reads brewers rookie a refractor of george springer 19 to go on the football mixer guys 19 to go. It's got 20 flawless and 21 flawless Man, I want to pull a herbert or a burr. I'm honestly Any of those first four quarterbacks taken in that draft i'd be super happy pulling a big card up tonight Max muncie pita lanzo blue refractor auto rookie rays josh low Pretty nice for the rays. They're a 70 of 150. He's an underrated guy Refractor pavin smith. Would you agree jake josh low? Yeah, I would say that he did struggle I feel like he's got a pretty good feature He's he's young rookie was another thing. Yeah younger than you know, was he like 23 or something? 24 new classic soto prism jesse winker reds It's pretty young That used to be really young for rookie now.  Is that a is that a variation auto do they have variation arms in this prism soto nationals? I know in his base. He doesn't rookie autos zack pop marlins Rookie refractors through a fairchild d-backs You know what to look for? It's not that's just the way his auto looks the autos in the base are different hosier miras photo negative minnowa blue jays Mike trout refractor cody bellinger It has the same code number on the back. So new classics alonzo ricky prism zack pop marlins Base auto cleveland zack police act And refractor of carson kelly. Let's do those two silver packs and get to our 2020 jumbo Sinead donaldson refractor of blackman Judge and refractor chris brines Nothing crazy in those. All right 2020 time. Come on You know, I think it is a sneaky team in 2020 with the dodgers With lux may and gonsolin. Yeah Like they're actually very good at this. Yeah I was like, who are the dodgers looking for in this break and I was like, oh All big players in that love series too Mookie bets is a red sox in this. Well, there's an arosa rain to base for the cardinals Harper refractor rafael devours Louise robert base rookie.  That's a travis lakens auto rookie base for the red sox. The he's just kind of the sharpie There you go red sox Yeah, that's why I didn't like Oh Yeah, I'm very yeah, pull the old josh wooden kowsky first bowman magic right there Futures our freshman flash akina refractor freeman prism rookie or kitty for the astros say almost a cub right there Almost what a cub he's gonna be flipped from contrives Really and then they yeah, they call it off. I guess they made the right move then I'm not doing it future stars Austin Riley Greenway brian rattles pirates rookie cup number 64 and 99 Pirates adame's refractor akunya throwback I think it was as far as like autos rory Because matt's pulled some big like short prints. Obviously adbert alzali rookie base auto cubs Fractor niki lopez prison whit mariefield royals kitty there Chris paddock die cut honest wagner refractor rowdy talez Jordan alvarez 85 design astros rookie there Our mookies are dodgering this I thought it was red sox though civale Okay, freshman flash held a noisy refractor paul goldschmidt prism elvis andrews for the rangers Remember that red speckle wander that I pulled that was cool. That wasn't silver packed. I just remember that card Matt thais t's rookie refractor auto of row helio armenteros for the astros 228 to 499 mom to see brennan mckay razeland ebony rios Base rookie auto a's seth brown solid auto there actually Refractor lucas gilito a prism orlando arsia for the brewers I see our last auto coming up It's blue Nope, not an auto blue rookie adrid. I was a lie cubs color match 144 of 150 dansby swanson chris bryant throwback dylan c's rookie trend aggression base rookie astadio freshman flash bobechette blue jays archie bradley. You've got a prism david perelta d-backs laddie future stars john means randy johnson die cut victor reyes swan soto 85 design eco horner Last pack of the break Zach gallin dustin may will he cashed our rookie base auto tigers? george springer refractor prism refractor of louis iraia's twins Bon rookie ball. Give me one sec.  This is an 86 rookie auto to 50 kc mi's tigers and a gold wave rookie auto twins alex kiroloff those are from the same box Good stuff there. Thanks again everybody more baseball coming up