Daily Tech News show is made possible by its listeners thanks to all of you including Tim Deputy, Brandon Brooks, and Hector Bones. Coming up on DTNS, guests are apparently paying to be on podcasts. Not us, but some podcasts. Are we okay with that? Plus MIT scientists discover why your network congestion is bad and the things you need to know to navigate the continuing chip shortage. This is the Daily Tech News for August 4th, 2022. Day? Maybe Thursday? I don't know. In Los Angeles, I'm Tom Merritt. From Studio Redwood, I'm Sarah Lane. It is Thursday. Deep in the heart of Texas, I'm Justin Robert Young. And I'm the show's producer on this Thursday, Roger Chang. The Thursdayest of Thursdays. Let's start with a few tech things you should know. Back in 2019, Google claimed quantum supremacy after its quantum computer called Sycamore performed a computation in 200 seconds that the company said would otherwise take a classic computer 10,000 years to complete. Wow, sounds crazy, right? Well, now, Pan Zhang, a statistical physicist at the Institute of Theoretical Physics at the Chinese Academy of Sciences and colleagues have shown how to do that same computation in a few hours and believe that with a supercomputer, not necessarily a quantum computer, they could do it faster than how fast Sycamore did it. In a paper printed at physical review letters, they describe how they recast to the problem as a 3D mathematical array called a tensor network, simulating the quantum computers method. Sycamore still required fewer operations and less power than a classical computer would. But Zhang suggests that quantum computing needs to find real-world applications to demonstrate quantum advantage. China's Alibaba reported revenue did not grow year over year in Q1 for the first time ever, but it didn't grow, but it didn't fall. An analyst expected it to fall. Alibaba attributed COVID lockdowns to the problem, but noted that recovery appearing in June is probably going to turn things around for them. Retail sales fell 1%, cloud computing rose 10%, and speaking of cloud computing and related news, Salesforce announced it was shutting down its offices in Hong Kong and accelerating its partnership with Alibaba, the exclusive provider of Salesforce software in greater China. Folks in South Korea, Japan, Hong Kong, and Taiwan can now reserve Valve's Steam Deck through the website Komodo. Valve says the first batch of reservations in these markets will be fulfilled by the end of the year. And Valve doesn't expect the addition of these markets to affect the delivery estimates for those who are already on hold with an existing reservation. Meta CEO Mark Zuckerberg announced international expansion of NFT support on Instagram, following Instagram's initial NFT test launch in May with select creators in the US, users and businesses in more than 100 countries in Africa, Asia Pacific, the Middle East, and the Americas can now share their NFTs on Instagram. Meta also announced that Coinbase Wallet and Dapper Wallet are now accepted as third-party wallet-compatible for use, and Instagram is also expanding its supported blockchains to include Flow. What if you don't own an NFT, though, Tom? Well, get in there and get one. I guess I should, yeah. Boardip Club. Good time to buy. It would be, indeed. Reuters reports that Tencent, which acquired a 5% stake in Ubisoft in 2018, is reportedly trying to buy an additional 16% stake held by the Guillemot family who co-founded and still run Ubisoft. This would make Tencent Ubisoft's single largest shareholder. You might say, well, okay, I get where they're going with that. The other 80% of Ubisoft is publicly owned, and Tencent is reportedly looking to acquire shares in that pool as well. All right. Let's talk a little bit about podcasts. You're listening into one. You probably like them. Lately, we here at DTNS have been getting a more frequent kind of spam. Somebody asking us how much would it cost to be a guest on your show? To be clear, nothing. DTNS never gets paid to put someone on the show. That's a policy we have. We pay people, our contributors, those people that you see on our About Us page, and our guests come on for free. Guests come on and we let them plug whatever they're doing. But we do not pay people. We do not get paid to put people on the show. Now, Bloomberg's Ashley Carmen has an article up that says podcast guests are being paid up to $50,000 to appear on popular shows. Carmen says the practice is particularly common in the wellness, cryptocurrency, and business arenas. A platform called Guestio, brokers paid guest appearances claiming podcasters have been paid $300,000 since 2020. Sometimes they are people paying to be guests, but Guestio also brokers podcasts paying the guests to appear. For example, Boxer Manny Pacquiao charges $15,000 for an appearance. Okay. That's fair for Manny Pacquiao to charge for that. And a lot of this is not different from what creators on YouTube and TikTok do. They get paid to talk about a product. The difference is those platforms already went through the big controversy over disclosure. Now, when somebody's on YouTube paid to talk about something, they disclose it. They say, hey, this company sent me this thing or this company is sponsoring this thing where I'm talking about it. Podcasting, though older, has not gone through that controversy and disclosures vary depending on the episode. Sometimes they're clear, sometimes they're cleverly hid, and sometimes they're non-existence. The USFTC says the same rules that apply to every platform like YouTube and TikTok apply to podcasting as well. You have to be clear about the source of a message, including whether somebody is paying to appear. So you might say, well, okay, at the point that it's disclosed, is it still a bad thing? And, you know, people differ in their opinions on this. John Lee Dumas, host of Entrepreneurs on Fire, told Bloomberg that guests who pay are better prepared, explaining they showed up on time, they delivered massive value, they had great giveaways and calls to action from my audience, and also the paid appearances are often part of an ad buy, and that can bring extra revenue to a show. Now, there's a difference between news and entertainment shows. For a show like we do, it's just not done to accept money for someone to show up, because you want to be clear that the people you are talking to don't have an interest in coloring their information one way or the other. That's a time-honored news tradition. NBC Nightly News, the BBC World News, they generally, well, there are some exceptions, but they generally are not going to get paid to have somebody on the show. When you're talking about something that's a little less newsy, maybe it's more lifestyle oriented, more independent, you know, less worried with like, we want to try to get down to the facts, the lines start blurring. Justin, is there a case where, you know, like John Lee Dumas, like, yeah, as long as we're clear about it, let's assume everybody's disclosing everything. Maybe it's fine. I think it's totally fine. I think that we have a weird, a puritanical view of money as a barrier or preventer of authenticity, that it's going to be the antithesis of it. The reality for any kind of show that books regular guests, and I do think that if DTNS was a show that demanded a brand new guest once every five days, you would eventually find yourself in a situation like I do on PX3 where I book a guest twice a week, where every once in a while, the pile of unsolicited PR agents who are pitching you guests at all times, which I get, I don't have a gigantic show, but I get probably 30 pitches a day for guests, that every once in a while, you pick one. I had a guy, Evan Scribshaw, who is a betting, a political betting expert, his website, The Lines, paid a PR agent so they could reach out to people like me. If the money could go to me instead of the PR agent, and I still like the guests, I don't know why that's bad. Yeah, I think the disclosure is really important, and disclosures happen in many ways, especially in our new modern world. I think of, I don't know, if future is paid to walk through a club in Atlanta for an hour, and you know that he got paid to do it, and gets his picture taken, and people take pictures with him, whatever. It's like, okay, how different is this than that? And I think to your point, Tom, it depends on what you're talking about on the show. If I know that the future then gets paid to get on the podcast Drink Champs, and kind of talk about the music industry, and have some fun, that doesn't bother me. If he was on our show to talk about the future of crypto, because he ends up being an investor in a crypto company, and that's not disclosed in a way that makes us feel comfortable, that's a totally different story. Yeah, I think it has to do with, are you able to do what you're saying you're doing, right? And if I just want to talk to a fun guy, and they pay to be on the show, then sure, that might be fine. If I'm promising to you as the listener, I'm going to get to the bottom of what this person says, and tell you whether it's true or not, and they're paying me. Well, I'm less than advised to really tell them. But those aren't the guests that, you know, according to the article, are really getting picked up. You're looking for expertises in areas that might be interesting or illuminating, right? And that's where the cryptocurrency and the wellness stuff is, is you are looking for people that are trying to think differently, and they're pitching themselves with those ideas. So you are effectively asking somebody to explain their world view, and, you know, greases the wheels a little bit, if Finucci gets to wet his beak. Now, you should know when those guests come on to pitch their wellness products that the host, if the person is paying to be on, is probably not going to be as critical of them. And that's fine. You just should know this is going to be a friendly interview, because they're paying to be on the show. I mean, maybe, but I guess... It's more likely to be friendly. It kind of depends on if the podcast host or the guest is the bigger celebrity. But also it's like, look, in reality, not every interview is Frost Nixon. You know, you're not trying to get something out of somebody. And that's what I mean. I don't think that torches the value of it, but you should know, like, oh, they may not have asked all the hard questions, and maybe that's fine. Maybe that doesn't even matter. Maybe I'm just curious what the thing is at all, in which case you probably got it. Unless it's investment advice or, you know, it starts to get boring. Yeah. Well, let's talk about network congestion, shall we? Oh, boy. Mm-hmm. I know network congestion is not fought by bandwidth caps, although some ISPs will tell you otherwise, instead by algorithms. So your computer doesn't know the optimal speed to send packets. Your computer does its best, but maybe the packets are going too slow, then you're not making the best use of the network. Maybe they're too fast, and you might instead overwhelm the network, and that causes dropped packets. And that causes resends and overloads the whole system even more. So what to do? Congestion algorithms look at how many packets are getting dropped and need to be resent. That's used as a signal of the network's overall health. And the algorithm adjusts to how fast a computer sends data packets so that it optimally uses a network's capacity. But this doesn't always help. Yeah. The folks at MIT wanted to find out what the best algorithm for network congestion was. So they studied it and put out a paper called Starvation in End-to-End Congestion Control, showing that while these algorithms do help overall to ease congestion over the entire network, there will always, and this is the weird thing, in every algorithm they tested, always be a scenario where at least one sender receives no bandwidth when congestion is being managed. If you've ever been sitting next to somebody with the exact same cell provider as you, you both have the same number of bars, but their connection works and yours doesn't, there are multiple explanations for that, but one of them could be this, that this algorithm is like, you're the one that gets to lose so that everybody else gets better bandwidth. Now, the problem is because of packet delays being the measure. Packet delays aren't always caused by congestion. Sometimes they're caused by other things, like delays in acknowledgement from the sending source or intentional packet queues that delay it on purpose because they're queuing up stuff. Stuff like this is often lumped under the term jitter. If you know the term jitter, that's what we're talking about. Algorithms can't tell the difference between congestion and jitter. Jitter causes the algorithms to make poor decisions and eventually that leads to the starving of somebody's bandwidth, albeit unintentionally. So the authors of the study figured, well, let's just test these algorithms and find out which one doesn't cause the problem and that's what they did, right? Yeah, yes, they did. They created a computer model that accounted for it jitter and tested every congestion algorithm that they could find. Every one of them was delay convergent. So in other words, at some point, somebody's bandwidth got starved.  The only solution they found was to allow for more variance in delay, meaning not combating delay quite as strict way. The more variance they allowed, the less starvation overall. They hope to find an algorithm that can eliminate it entirely. So that's what we're working on at this point. The team will present their research at the ACM special interest group on data communications conference. Yeah, this is not going to have immediate practical effect on you. It's certainly not the only reason that you ever have bandwidth go out. There also might be a capacity problem on the poll near you if you're on 4G service or something like that. But it is a great way to help actually fix the problem of bandwidth congestion rather than some marketing oriented way like bandwidth caps. I think it's also just a great thing to know. My wife and I were in Europe for the past three weeks and this happened constantly for us that we would both have the exact same phone, the exact same reception, the exact same network, and yet one of us was able to post the vacation picture to Instagram and the other one wasn't. And luckily it was usually me that won, which meant that she just had a very algorithmically unlucky phone apparently. Like I said, it could also be capacity where you always got connected to the nearest cell service poll before she did and there just wasn't a good connection for it's funny that it does tend to be one person over the other. Eileen always gets connected when we're places and I don't. It's just the luck of the draw or is it the jitter? Maybe I have the jitters.  I am, I am. Well, folks, if you're like, who's Eileen? Eileen's my wife if you don't know and she's going to be on the show next week. All next week is DTNS Experiment Week. We're swapping out our normal DTNS shows and we're trying out some new ideas. Last year we launched shows like BBQ and Tech, The Tech John on Experiment Week and they went on to become their own shows. This year we've got Rob Dunwood and Rod Simmons with DTNS Reaction to Samsung's upcoming fold announcement. Nicole Lee will be doing a tech culture show from an Asian American perspective and that's the one my wife will be on. It all starts next week, Monday, August 8th, right here on the DTNS Feeds. Previously on The Chip Shortage. When lockdown swept the world, companies bet that folks would stop buying as many things, especially cars. As it turns out, folks bought a lot more things and returned to buying cars a lot faster than expected. The disruption to the normal patterns of shipping caused all kinds of problems in logistics like too many cargo containers in one port and not enough in another. Shortages in components caused companies to try and stockpile parts buying more than they normally would, a.k.a. the toilet paper effect. Weather anomalies like the ice storms in Texas, droughts in Taiwan and fires in Japan complicated an already difficult situation. And then of course, the war started in Ukraine, disrupting supply chains even more. Inflation started changing consumption patterns again, which brings us to now, Tom, where are we? Companies are dealing with uneven component supplies, but full warehouses, hey, Best Buy and Target both said their warehouses are brimming, but they're expecting dwindling consumer demand and they're not the only one. Let's focus on two cases that point to where the chip market is going to be heading. First, automakers are going to be more involved in chip design, meaning better electronics in your car, but also higher costs. TSMC's CEO, C.C. Wei, told Reuters that he never once got a call from an auto executive until the shortage got bad, and then they were his best friends. Now car makers and chip makers are working side by side. This gives automakers more visibility into the supply chain, but it's going to cost them because they're participating. They're not just taking, they're not just placing orders. They're involved in the R&D process.  So parts suppliers like Bosch and Denso are spending an increasing amount of chip production, increasing amount on chip production. Companies like GM and Stellantis are taking part in chip design. Ford has struck a new deal with Global Foundries directly. Chipmaker called Skywater Tech is asking automakers to buy the equipment they're using to make the chips or pay for some of the R&D. Japan's Renesys Electronics and Dutch NXP semiconductor are co-locating engineers to help automakers design new architecture from the ground up. That's going to give you better efficiency in your car. It's going to have a single chip that can control everything. It brings them closer to what Tesla's already been doing. Tesla already designs its own core chips, and it means there's going to be more chips in your cars. Reuters says the number of chips per car in 2026 is expected to be double what it was in 2020. So automakers have reached a new normal of their own with better but more expensive chip design. Sarah, tell us about case number two. Oh, Tom, I'm glad to do so. Reuters reports on a case that seems like a more straightforward effect.  Reuters also reports that Samsung scaled back production in Vietnam where it has six factories and two major hubs that put out around half of Samsung's smartphones. So they're doing a lot of inventory there. One campus in the north of the country can make around 100 million devices per year out of Samsung's total of 270 million. A worker at that campus told Reuters they're not only cutting overtime for workers, but going down from six-day work weeks to four, sometimes three. Samsung told Reuters it isn't reducing its annual production target, but Reuters couldn't confirm if that meant it was shifting an output to its Indian or South Korean plants or perhaps both. Managers told workers at the plant that the inventories are high, hence the reduction in output. So it may be that Samsung suddenly realizes it just has enough units to meet demand and demand is stagnant. Listeners to DTS know that you heard about the chip shortage early here. You probably heard about it before a lot of your friends. The takeaway on this story that we're doing here is that we may be headed for a glut of electronics in some sectors and higher costs in others, and sometimes you're going to have both. I think that this makes a lot of sense and probably is going to work out pretty well, at least for consumers in the areas where there are gluts, especially if we do go into a recession and people need to stretch their dollars even further than they already have with inflation. But what I'm fascinated about is the cars. Cars have certainly become more and more and more dependent on electronics, be it in cameras or various different displays. But this, to really double down on that, I think it's fascinating. Yeah, and I think the silver lining for cars here is because they were forced to do it in order to get chips at all, to figure out how to make chips and to navigate the costs of them, I think you're going to see better designs. And if you've ever sat in a brand new car, I know not many of us do very often, but if you ever have and you're like, this is an impressive car, but the electronics seem kind of old, that's why. Carmakers just bought off the shelf old chips for the most part. Like we need a display controller. It doesn't have to be fancy. Now they are like literally co-locating engineers to be, let's design the cabin electronics from the ground up. Let's design a chip that works the best for what we do and that way we can put a long-term order on it and make sure we have a supply of it. I mean, I will say as somebody who purchased a car over the last two years, more than I would like to admit because of how the electronics looked and functioned, I think this is a good idea for the modern consumer. Yeah. It's one of the reasons Tesla's are so impressive because they've done that work from the ground up. Well, speaking of the modern world, it seems like just a couple of weeks ago, we were talking with Joel Telling, who was a guest on our show about the world of 3D printing, where it's going, because it was two weeks ago. Protocol has a great write up on how a Hollywood is also embracing 3D printing in an interview with Dream Smith studio founder at Jacob Snymon, who tells the publication, he's wanted to use 3D printers to design props digitally instead of with clay and wire mesh for years. But the technology just wasn't ready for a long time. The printers he could afford weren't able to make the big enough props that he actually needed to make. Today's 3D printing is alive and well in Hollywood, however, with larger printers made by companies like Form Labs, there are others that are now in the budget for shops like Dream Smith. Snymon has been using Form Labs as 3D printers for props on both seasons of the HBO Max sci-fi series Raised by Wolves, RIP Raised by Wolves. It has been canceled, but needed quite a, you know, needed a lot of 3D printing to make stuff come to life. For example, instead of creating a silicone mask of a human's face that requires the actor to be there in person, it's kind of cumbersome and time consuming, 3D capture studios can make a digital mold. And then the folks at Dream Smith can use those files to make molds that are accurate going forward. Yeah, I thought this, when I first saw this story, I thought it was going to be about props more than about modifications, you know, to the face, you know, molds and masks and things. So this is fascinating. It's both.  It makes perfect sense. And then 3D print whatever the mask is before they make them sit in the chair and put it on. And gives you such freedom for digital design. Yeah, right. You could design a bunch of different things, even try a few, see which one works best. Yeah. And have the time and energy to do that, which you didn't have before. That's great. That's great. Yeah, 3D printing sounds better and better all the time, even if you don't work in Hollywood. Well, let's check out the mail bag, shall we? Let's do it. So Doug wrote in about our conversation a couple of days ago about risk five. Doug says, I've seen risk five being explored and developed by the big embedded semiconductor companies for a couple of use cases that are always apparent. One is for controls on really low end devices, smart sensors, smart motors, actuator drivers. These are often a lot less than $1 devices. They don't need much compute, computing power and are often used various legacy designs instead of arm anyway. Risk five avoids any licensing costs. Let's get them some compute performance improvements. And the hope is that with one open industry hardware standard, they'll get the volume needed to spur the creation of software tools from vendors instead of having to write all those tools in-house. The market isn't very sexy, says Doug, but it's still worth many billions of dollars. Another use case is for the development of security cores and higher end system on a chips. These chips do use arm cores for main compute. They're not going to change because they benefit from the massive software industry that supports that. But there is talk of making the security cores for risk in risk five for exactly the same reasons as people use for security software. Lots of eyes on it being able to share best practices, etc. Doug finishes up with saying not everything has to beat Intel in order to be profitable. Yeah, we had a good conversation with John Dvorak a couple days ago about risk five. If you didn't catch that, go back and listen to that if you're interested in this sort of thing. And thank you, Doug, for sharing the additional insights on this. It was really helpful. Absolutely. If you have insights that you'd like to share with us, we would like to hear them. Feedback a Daily Tech News show is where to send that email. Email us early and often. Also, Justin Robert Young, you better be here earlier and often because we missed you a lot over the last few weeks. You had a great vacation, but let folks know where they can keep up with your work now that you're back in the saddle. Well, it is less than a hundred days until the midterms here in America. The campaigns are heating up. The primaries are winding down, which means you need to be listening to politics, politics, politics as you care about who you are going to vote for and whether or not the candidate that you love or hate is running a good or bad campaign. This is the place to find it. Politics, politics, politics, wherever you find your podcast. Excellent. We also want to extend a special thanks to Mike Ascusha. Mike, you are one of our top lifetime supporters for DTNS. You already know that, but now everyone else does too. Thank you for all the years of support. We really, really value the folks who stick with us over the years, like Mike does. So thank you. Thank you, Mike. Speaking of patrons, stick around for the extended show, Good Day Internet. We'll be talking about food, probably, but we talk about all sorts of stuff. You can also catch this show, DTNS is live Monday through Friday at 4 p.m. Eastern, 2100 UTC. Find out more at dailytechnewshow.com slash live and we're back doing it all again tomorrow talking about Deep Mind's Alpha Fold with Dr. Nicky Ackermanns. This show is part of the Fraud Pants Network. Get more at FraudPants.com. Diamond Club hopes you have enjoyed this program.


Real is the game here today.  We're here with the squad We're about to race out and I'm gonna need to do squats drop a comment down below Saying yeet. All right. Let's begin one two three. Let's go. Oh my god, okay I got a head start but I'll race backwards because I'll give them a chance. Oh my god. Everybody's coming Let's go. Okay. We have to be careful here in the streets because there are some cars They can pass by and run you over. Oh, yeah, we're supposed to race in the cemetery Everybody kept going that way. I totally forgot. Okay, so let's go over here. I got a blazer What are you doing over there, buddy? You good, right? She's like we're all good over here So let's go have a look around this map as you can see. It's pretty interesting It's pretty fun game.  Let's go over here Okay, so let's climb up this way Let's go on top of this house because I did see something interesting earlier that I want you guys to see look at this This is Minecraft Steve's head and it's like a tether ball. This is so like gory man.  Oh, yes He's like this person really doesn't like Minecraft or something poor Steve. Yo, all right What else can we do here? Oh, yeah, look, there's beans. Let's try these beans Hey, I can't tell if he if he enjoyed the beans or not. Yeah. Yeah, we're all eating beans out here Oh, oh my god, blazer just fell from up there. Okay, so let's go this way. Oh look, let's go see this house Okay, what's in here? It's a bed a little laptop What is this vehicle found in gas station? Yeah, that's it the vehicle is literally in the gas station Okay, it was just a car at the gas station then but yeah, like oh my god We have to be careful with these remember guys look both ways before crossing the street Because you did not want to end up like a flat pancake on the street.   Oh look we dressed as the builder man. That's pretty cool Rg. What's up? Yo, right? Let's go have a look around. Oh look what is that bro? Is that for tonight? Hey, we getting lit out here You're doing the for tonight dance Right, I there's like so many other parts of the map Let's go have a look. Oh look like that giant ladder over there. Let's go climb it Let's see where this thing takes us Okay, let's go up here fellas All right, and we're almost making it to the top dude. How high is this thing? It's pretty high up man Why is it so slow and I'm going faster? Because do we just like go down here or something? I have no clue. I guess we just jump. Oh, we're taking damage as we fall. No, this is not good Oh my god, I guess it's just to see oh Okay, so our body is flipping down now. It's going down the stairs Wow That was nice wasn't it? Oh like everybody else is rolling down Guys come down here. Help me. Oh my god. Somebody's car is coming. Oh, dude.  It did not fall down Hey, what's up?   That was not nice But did he still going how?   It kind of it's I mean it's pretty fun.  It is a simulator game, which I am not so fond of simulators, but I really like this one Hey, what's up? What's up my boy? Oh guys keep holding. What's over here? Oh my god. Look at this Do we just go through this thing will it take us? No, how do we get on here? I want to go on this thing. Oh my god. There's a train coming. Yo, watch out. No, move it. Oh my god It was so close. I'm the eggs bro. Hello, brother egg or egg brother Okay, how do you get up here? I want to get on this thing I wanted to take me through. I want to get these guys stuck on the train Let's see if they stay on the train tracks and I'm gonna try to jump off last second Hey, come over here. Why is the train coming? Okay, so now the train doesn't want to come out great. Oh look we can do a flip That was pretty epic You do flips out. Oh my boy getting laid over here. Look at this dude. Oh my god. Yo, are you good? Okay, so let's go the train the train. Oh, I'm trying to push him in there. Okay, so number two says lay down Okay, so you literally lay down Alrighty, let's lay down on the tracks.  Oh my god. He's fell there. Dude. He's pushed me up. How in the world is this happening? You guys what is going on here? Only there's a building over there. Nice. Oh my god. Look back at humongous It seems like you're still working on it. Like there's going to be more future updates There's a giant noob over there. There's like a coliseum. Oh my god. How high are we going to go up here dad? Oh no, I'm falling dude. I'm falling on the train.  That was not chill bro Oh my god. I know you did it on purpose.   Oh my god Wow All right, let's see what else this game what more surprises this game got for us. What's up pirate? What's up deedy? All right, let's go over here. We got my boy right here Well, like um the real jaded. He did something sketch. He also did something j and g found out sketch committed murder Was shot by him afterwards.  Uh-oh. Did he just went in there? She buried herself alive Oh, no, you will be remembered. All right, let's let's throw it on over here All right, so I did see like this crazy stuff over here. Let's go check it out on this side Well, no, we're being chased by this golden car.  Did the car just drive into the saw? Okay, I want to see that let's wait for the car to oh look at it. There it goes Oh Okay, that one didn't go so crazy, but the one before I saw like flip or something Okay, let's try it out on the dude. Let's look at that person right there All right. Let's see the car. It just doesn't appear Okay. Oh my god the train. Oh it goes off this way. What is this over here? What is that thing? Is that somebody messing around with like their car or something? Oh, it's a dummy.  Dummy My god that guy's on something y'all. I'm telling you. I think you drank too much milk That's what happens when you drink too much milk guys Oh, look, there's a little house over there the house on the prairie Even though it's just a house on the grassland Let's go check it out, man Hey, what's up a boy?  We can't even go in the house. Are you kidding me? Right? You know what? I'm gonna go do this ramp right here Oh my god, we really made it. Oh no Oh god, I was scared. I was gonna fall there Are you trying to race me blazer because You will never win me buddy. Oh look, where did that take you? I have no clue.  Isn't this great? Now we're stuck here blazer Oh no, actually, it's not a dead end. Oh my god. The train is coming Oh god, that was so close. All right, so let's head on back dude.  Come on blazer.  You gotta catch up blazer. Look at this guy. He's still over here My goodness Oh god rest in peace to um axel. He just fell right in the saw Wait, what's okay? That's the train. Oh my god. There's a poor little newbie here. What are you doing here, mr. New? Oh just minding his own business there.   Watch out Oh look the forest Those guys are walking in the line Okay, let's go over here. Um What's in this forest? I don't think there's anything in here Oh my god, there's somebody over there.  Oh, there you go. Oh my god. What is this?  Oh my god. He has like glowing eyes and stuff How about it? They're bad.   You guys ready? You guys ready for my story? Oh my god. Didi knows No, come over here.  Oh, I'm sorry blazer. Great story. I loved it Oh my gosh, right. Let's rejoin I hope y'all enjoyed my story, man It was pretty thoughtful, wasn't it? All right, so as we can see oh, yeah, I actually had to buy that grenade Because that was like a game pass So what after we have torture dance? Oh my god. What is that? 1700 sea shanties What When you're having a good day Okay, let's try these out. Oh All right, let's try this one Hey, hey, hey Hey, this reminds me of Mr. Krabs Like the Krusty Krab Right when you're having a good day Hey, hey axles over here. Oh my god. What's up laser? Okay. Now the whole squad is sullied up Ouch Where's the piece of that guy? Oh like the giant noob is over there That is one giant looking noob. All right you guys while this was beat dad forever simulator and roblox It was pretty crazy. I enjoyed this game because it's so crazy and random. I just like crazy random games Finally I find. Oh, no. Well, finally. Well, at least you came out in the end All right you guys well, thank you guys for watching Thank you guys for the amazing support if you guys enjoyed the video make sure to slap the like button If you're new to the channel, make sure to subscribe and turn that notification bell on and now we'll see you guys in the next one ye


Some recruiters will intentionally leave their contact information for AI related jobs, but for traditional PM jobs, they're not going to put the contact information, which means that all the recruiter want to get the best talent in the AI space and people are fighting for the AI talent.  And something very important to remind you guys is that AI skills doesn't mean that you need to learn how to code, but you need to have the know how and the knowledge of making hacking code decisions. I've played this a video teaching how to become a badass AI partner manager should check out right here. Do not miss this AI train.


This is Dr. Ruscio, and let's discuss if Synthroid contains gluten. If you have hypothyroid or you're on thyroid medication and you've been doing some reading on the internet, you've likely heard some connection between gluten and hypothyroidism. Because of this, there is concern, rightfully so, that's been voiced potentially about different medications, thyroid medications, like Synthroid, and if they contain gluten or not. I wanted to present to you a study that recently looked at this issue to help dispel any misconceptions out there and to help you know that if you have gluten intolerance or if you have celiac, and you're trying to avoid gluten, if Synthroid does or does not contain gluten. And I'll put the study abstract up here on the screen, entitled, Gluten and Aluminum Content in Synthroid. To quote, these data demonstrate that Synthroid tablets are not a source for dietary gluten and are a minimal source of aluminum. They assessed multiple batches and essentially found that there was no detectable gluten in any of the batches assessed. So this is comforting, and this may run counter to what you've heard before, and this may be because according to my knowledge, there was gluten in Synthroid or Levothyroxine tablets before, but this is no longer the case. So this can be comforting if you're someone who is gluten insensitive or gluten intolerant or have celiac, and you're trying to make sure you avoid gluten. Now what if you're listening to this and you're saying, I've been on Synthroid or Levothyroxine or a thyroid hormone, and I'm not feeling any better? Because it's important that you understand some of the effective treatments or interventions that can be done to help you feel better if you're not feeling well, and not to get pulled into an elaborate sea of testing in the hope that that is going to actually tell you what to do to improve your health. Because a little bit of testing can be helpful, but sometimes excessive testing does nothing more than waste money. So I wanted to offer a few guidelines. So first of all, it is possible that you may be on Synthroid or Levothyroxine and not feeling better, and sometimes people may feel like their doctor is telling them that that shouldn't be happening, yet their personal experience clearly indicates that they're on thyroid hormone and they're not feeling better. That can happen. So let's look at a few things that you can do if that does happen. First you want to establish if your dose is correct. The initial thing to look at may be a very simple one, which is you may be under dose, you may be overdosed, and a simple dose adjustment that you can do under the supervision of your doctor by looking at your lab work can be very easy to do. So that's number one. Now if it's been challenging to find a stable dose, then malabsorption might be the problem. And what this means is you're taking the pill, but you're not consistently absorbing the pill.  And oftentimes when this happens, it can be an underlying gut issue. Now if you're eating foods around the same time of your medication, that may be interfering with the absorption also. So that's important to mention, but I'm assuming most people understand that you should not be eating with your thyroid medication. And so if you're not eating with your thyroid medication, but you're still inconsistent in your dose, or your dose is level, but your levels are inconsistent and so your doctor keeps trying to adjust it, then you may not be absorbing the medication effectively or consistently. And this may be caused by malabsorption in the gut. And the answer or the solution to that problem is to fix any underlying problem in the gut. If there's IBS, treat the IBS. If there's SIBO, treat the SIBO. If there are ulcers or GERD, see those through to resolution. Now moving on. You may want to also try a liquid form of thyroid hormone. Let's say you do have a case of mild or severe IBS or maybe inflammatory bowel disease or maybe SIBO, small intestinal bacterial growth, it's very hard to resolve. And you have this ongoing inflammation or maybe you have ulcers that are chronic, then you may want to try a form of thyroid hormone that is liquid, that is much more easily absorbed. And there have been trials done in patients with various gastrointestinal conditions that were struggling on normal synthroid or levoteroxin. And then when switching to the liquid form, their dose became more stable and their symptoms improved also. And there's one under the trade name of tyrosin, which is a liquid gel cap that can be helpful in these cases. OK, so moving through our list. If your hormones are generally in the normal range, then what do you do then? Well, in that case, you may want to consider a trial of a T4-T3 medication. What ends up happening with some patients is about 20% of patients prefer a T4-only medication like levoteroxin, according to one study. And about 43% of patients actually prefer a T4-T3 combination. So you may have your levoteroxin and you add cytomyl. Or you may switch from levoteroxin to something like Westeroid or naturophoid that has a combination of T4 and T3. And some of the studies that have been done, there is a clear documented benefit. And this was not based upon people's lab work. It was simply a trial, a trial of a different form or a balance of the medication, meaning instead of just giving a T4, a balance of T4 and T3 was administered. So it can be a simple thing to do with your doctor on an experimental basis to see if that aids. Now, what also may be happening is the problem is no longer your thyroid. And this is very important to understand. Because unfortunately on the internet, there's so much information about thyroid and the thyroid symptoms are so nonspecific that people oftentimes are chasing after the thyroid as a root cause of their problem and overlooking the fact that it's actually a problem in the gut that's driving their symptoms. So this is very important. So if you've gone through some of these basic, simple steps for your thyroid and you're still not feeling better, the thyroid symptoms that you are concerned about may actually not be thyroid symptoms, but maybe symptoms that are being driven by a problem in your gut. And it's manifesting as what looks like thyroid symptoms. Because remember, many of the thyroid symptoms are nonspecific. Weight gain, fatigue, constipation, depression, dry hair, skin and nails, those can all be caused by a problem in the gut or they can all be caused by a problem in the thyroid. So if you've gone through some of these thyroid basics or I should really say fundamentals and not responded, then I would caution you about not going too far down in the thyroid rabbit hole but rather have a thorough gut evaluation and optimize the health of your gut and see if that improves the symptoms that may have been falsely attributed to being caused by your thyroid. So here are some things that can be helpful to help you feel better if you have a thyroid condition or a suspected thyroid condition and you haven't. Also remember that if you're gluten sensitive or celiac that centroid or levothyroxin has been shown not to contain gluten so that may be comforting and make your life a little bit easier. This is Dr. Ruscio and I hope this information helps you get healthy and get back to your life. Thanks.


Hi everyone, Joe for jasmizcasebrace.com doing a quick little random number block Randomizer for the following teams here the Padres blue jays nationals marlins and diamond bags and this unlocks triple Threads pick your team seven in her case from a fresh case Not pick your team three. I forgot to update that part sir. Pick your team seven. That's the only thing on the site That's how it works. Remember Zero gets any and all redemptions even if it's a one-of-one redemption one still gets live one of Any non-numbered cards will be randomized as one lot to one person in this break And those are gonna be base cards. I think all the hits are numbered So big thanks to this group here for getting in on it. There are the numbers here. Let's roll it. Let's randomize it snake eyes one and two left eye Right eye We got Steve down to a couple brines two times for the numbers left eye and the right eye snake eyes eight Down to three. All right, Steve with eight Brian with one Jimmy with nine Steve with six Travis with five Harry with two low in with zero Jeremy with four Brian with seven and three It's order these numerically coming up in the next video will be that triple threads break itself We'll see you for that. Jasper's case breaks.com


you know someone's addicted to drama when they can't be soothed by your attempts to regulate them. Instead, they bait you into joining their dysregulation. When chaos and drama is someone's status quo default mode, everything else that does not operate at that frequency feels off to them. So as a means of belonging and bonding, they pull you into their chaos and drama and that makes them feel connected to you and others. Who are these people in your life? Where do you need to stop being involved in this massive energy drain on your life this year because you can't afford it any longer?


All right, my name is Hayden Adams, and I'm the founder at Uniswap. I'm just talking about building on Uniswap. So what does this talk about? It was going to be a talk about Uniswap, but now it's a weather advisory. Hurricane is a tropical cyclone that's in North Pacific and Eastern North Pacific. A typhoon is a tropical cyclone that takes place in the Northwest Pacific. Super typhoon Higibus is a category five hurricane that's penetrating to the fans. There it is. It's on its way. All right, what does this talk about? It's talking about Uniswap. It's about what can be built on it today. It's about how we can expand its utility, you know, in Uniswap version two, and then how we can scale Uniswap while retaining its utility. So what is Uniswap? It's first and foremost a decentralized exchange protocol. It makes use of automated market making. It makes use of pooled and tokenized liquidity. And what that means is in a traditional exchange you kind of have buyers and sellers matched up on an order book. In Uniswap you sort of automate that whole process and then you give people a token that sort of represents their position. It's easy to understand and use and that's one of the most important things. So why is it needed? First it lowers the barrier of entry to the participation and finance. So in Uniswap anyone can be a market maker. This is the current distribution of market makers on Uniswap as of a few weeks ago. About 25% of people in the $2.5 billion die pool come from users who use less than 1%. So it basically allows you to pull together a lot of small market makers and do what used to be only a Wales game. Anyone can create and list an asset. This is super important. In Uniswap right now there's over 800 tokens. About 100 to 150 have actual usage. It's a lot easier to get listed on Uniswap than on NASDAQ or even on a centralized exchange Anyone can build on top of it. And this is more of the topic of this talk. Part of the reason for that is that it's all open source. It has an open source front end documentation, smart contract, SDK. And so since they launched last November there's been a number of projects that started building on top of it. So what are the use cases right now? It seems like a lot of people are using it for trading tokens on Ethereum. So trading interfaces, wallets, debt aggregators. And then we have some people want to use it to earn interest as a market maker. What they're doing is they're maintaining a 50-50 ratio of ETH and the ERC-20 token and then they're earning fees on trades between the two. One option you could do is you could use that liquidity as collateral, take out a loan against it and basically be able to leverage up on market making. Another option is to create a liquidity source for an application you care about. So MakerDAO put in a lot of, or there's a lot of MKR, there's a lot of Spank. And the reason is tokens like Spank have a really hard time getting listed on exchanges because they have to do it in the industry. Some people, and this is the one that I'm more interested in, it's like integrating Uniswap directly inside of applications. So for example, you could, you know, you could use it as an exchange so for example, you could, you know, lock up ETH and MakerDAO, borrow DAI, swap that DAI for ETH, lock that out and MakerDAO again and you can kind of loop through protocols to leverage out. So there's been, you know, some projects that have tried this out, like Open, Neo, Dustin, stuff like this. But what we really want to do is we want to improve Uniswap so that it can serve more use cases than it does today. And we're going to do that with Uniswap version 2. Okay, so the first and most, and one of my favorite features is decentralized price articles. The second is, you know, direct ERC-20 to ERC-20 pairs. We now Uniswap forces all tokens to be paired with ETH.  And finally, we've refactored the entire code page to make it a lot more flexible, more secure, and sort of better for the long term. Okay, so how do these articles work? Well, the idea of the articles is that it provides a maximally decentralized on-chain price feed for any ERC-20 token with a very clear incentive structure. Very easy to reason about, like the cost of attack, how secure it is. And it can be useful for things like synthetics, lending, automated trading, stuff like that. One example use case that we're looking at is, you know, Augur needs a rep to ETH price feed for their version too. So, actually, before we get on, I'm going to maybe explain a little bit of how these articles work. So, the most meaningful price, you know, right now there's already projects that use Uniswap as an article. They try to checkpoint the price for maybe some sort of lending system or some sort of synthetic asset, but it can be front-run. The transaction that checks the price on Uniswap can basically, someone can minute you like the price right ahead of that transaction and basically, you know, mess up the article. For a relatively cheap, for a pretty cheap, it doesn't cost that much. Especially since you can synchronously, like front-run it, move the price, let an article transaction go through and then push the price back seamlessly. So, what we're going to do is we're basically going to have every transaction check the price. And the first transaction at the block where you store that price. And what we can do is we can basically average prices across multiple blocks so that, you know, manipulating the price on Uniswap, you could, you know, you might be able to manipulate it for one block, but for manipulating across a thousand blocks or across an hour or a day, you know, what we're ideally wanting to expose is allowing people to build pretty much arbitrary and time-length articles on Uniswap. So, if you check the article once, at the beginning of the day, once at the end of the day, you can get a perfect one-hour time-weighted average price of the price on Uniswap at the beginning of the block. The reason we do it at the beginning of the block is basically because in order to manipulate the price at the beginning of the block, you have to do the last transaction in the previous block which means you're opening yourself up to an arbitrage in the next block. And doing that across, you know, blocks could be very expensive. Can you use the microphone? Oh, you can't hear me? Yeah, that's better. Tell me about that. Okay, the other feature we're working on is ERC-20 to ERC-20 pairs. The main idea here is to allow liquidity providers to take on a wider range of positions. Also allow for lower slippage and fees on direct ERC-20 to ERC-20 pairs for ones that have a lot of liquidity in them. Right now, you know, when you go ERC-20 to ERC-20, you have to go ERC-20 to ETH to ERC-20, you pay 0.3% fee on both sides and then the slippage on both sides. This in general increases the protocol flexibility. So an example for the use case where this is maybe most interesting is allowing tokens to be paired against stable coins or even stable coins paired against each other or just very highly correlated assets. If you create there's all sorts of different projects where they create assets that are meant to be correlated with each other. For example, you can imagine like CDI and DI you can create an input between the two. You're going to have very low loss. Very low basically losses in Uniswap come from the prices diverging in the assets. So an example of the use case would be a CDI to CUSDC pair on Uniswap. So a while back we were thinking about the idea of like a DI to USDC pair as an example use case for this but one thing that kept coming up was the opportunity cost of lending stable coins. So right now if you let DI to C you can make about 15% return versus if you were a liquidity provider on the system in Uniswap you would have to be making a 15% return for it to be worth it. But if we have the sort of ability to create arbitrary ERC-20 so for the pair is we could create a pair between CDI and CUSDC where when someone wants to trade the trader is abstracted from them they just send some DI to the contract the DI goes to the compound converts it to CDI and then CDI goes to Uniswap convert it to CUSDC CUSDC is back to compound for USDC and then USDC is back to Uniswap in a single transaction and what you have is for the liquidity provider they're basically leveraging up while earning fees on Uniswap for the trader all they deal with is DI and USDC and so they have a much lower opportunity cost in this case for being a liquidity provider yeah so there's no LP loss as long as you can maintain their peg in this case now this is not true you should be telling me that's wrong because technically they can have a different interest rate so there might be a very very small very very small potential loss between the two but not very much so yeah users can swap DI for USDC at very low prices and then you could also even imagine the CDI into USDC liquidity, pool tokens then being used as collateral because it's very stable and then not only have you leveraged up by lending and market making at the same time but then you're taking out a loan against that same collateral again yes the money Legos get kind of crazy but we have a lot of fun with it okay so one of the things the thing that this has been focused on so far is like the idea of building on top of Uniswap and we also want to improve the UX of Uniswap and one of the best ways to improve UX for a single application is using Layer 2 but with most Layer 2s that have existed up until this point it's been it's always made this sacrifice to operate cleanly and smoothly with other applications so there's a few different applications out there there's Plasma, there's Eco-Roll-Up and now there's Optimistic-Roll-Up maybe I'll very briefly very very quickly high level explain Optimistic-Roll-Up you post blocks you execute them optimistically which means you assume everything is valid unless it's proven invalid and then basically there's some data off-chain that users can have that prove whether or not the transaction is valid or invalid very very scalable because you basically execute everything off-chain and you don't put any data on-chain then you have ZK-Roll-Up this is the idea that you can do a you can put data on-chain very like minimal data for transaction and then you do a Starms-Proof that all that data is executed properly Optimistic-Roll-Up basically combines the two ideas we execute everything optimistically there's blocks that are posted and you assume that they're valid but then you post the data that you need for the Frog-Proof to Ethereum Ok so Optimistic-Roll-Up is lit Optimistic-Roll-Up can scale uniswap we can do generalized smart contracts oh yeah and Optimistic-Roll-Up can scale generalized interoperable smart contracts on Ethereum so we can continue to build stuff like Uniswap while scaling it some credit to Plasma Group there's Carl over there I don't know if anyone else from Plasma Group is in here, maybe not but made up of Jinglan Wang Carl Flush, Ben Jones, Will Meister and then credit to Vitalik Group made up of Vitalik who has also done a lot of most of the research not most of the research but he there was the Plasma Research for sure and creating Ethereum so Optimistic-Roll-Up do Uniswap yes it can and we built it it can do about and by we I mean Uniswap created a front-end and Plasma Group created a back-end it can do about 250 transactions per second or it can if we optimize the client on Istanbul it can you know has native metatransactions so you can queue up multiple transactions and it was built by Uniswap and Plasma Group so now I'm going to ask you all to pick a team really important are you team Unicorn Unicorns are majestic, they're shy they're beautiful and they love long walks in nature or are you team Pig they're cute they're very smart they're the life of the party and they love eating until they fall asleep okay raise your hand if you're team Uni raise your hand if you're team Uni is this bad come on a few more people raise your hand okay raise your hand if you're team Pig okay okay it seems to be 50-50 mathematically but not in this room not in this room I guess the pig liked my talk more okay so we're waiting in the site it's called unipig.exchange I'm gonna demo it right now I think I have time okay I have time okay cool alright unipig.exchange is a demo with Uniswap on Optimistic Roller we've been working on it for the last month alright so the first thing we need some form of civil resistance because the money is all fake so we can't charge you fees alright so you can go get tokens from Twitter and we have a pretty great Twitter faucet alright it brings up is tweeting at Unipig.exchange I'm gonna tweet waiting for my tweet I'm gonna tweet yay so we just got sent 30 Unit tokens and 30 Piggy tokens on our Layer 2 wallet this wallet is a burner wallet built into the browser you can see you can open it up there's a wallet now I'm not gonna be waiting very long for these transactions to be firm and it's done and it's done we don't want to we want to sell all our pigs so they increase the value of the money in a sec okay we also have Trigger and Air Drop if this is it's basically to encourage participation so if two people match up they both have wallets on Unipig they can scan each other just like that there you go and I got 10 tokens on this account 10 tokens on the other account the real thing with Optimistic Rollup is it's a massive massive UX improvement over using the base chain you can get instant confirmations you can get 250 transactions per second you can you don't need to do the approve and transfer you can basically queue them up together it basically doesn't exist yeah let's see our stats here so we've done about 2100 transactions through our DEF CON we've had a bunch of people try this demo I didn't realize this I always pay really high gas price for all my transactions the average gas cost the average wait time for transactions on Ethereum is over a minute so we've saved 3600 minutes for the transactions of people just sitting around waiting so that is a lot of time yeah alright anyway I think I'm going to open up your questions if you have any questions about this demo about Unisvlog B2 if the transactions are optimistic how soon will people know that I'm lying how soon will people know that you're lying okay as soon as they get the basically so you have someone informing a block they submit that block to Ethereum so it's a block header and a hash and then some data anyone in the world as long as they have an Ethereum node they'll see all that data and that's all they need to validate every transaction on the block so ideally someone is watching the chain anyone who cares about it can watch the chain catch and validate the transactions so basically as soon as they submit it as long as someone is watching you should find it you know what trading baseball cards or something like that would be really really cool do you happen to work at a crypto startup that involves baseball cards no no I agree one thing I really like about what has felt really validating about building this demo is that I do feel like you can create something kind of like the way crypto kiddies went viral and it just kind of shut down Ethereum we could create something like that where as a virus Unifig is not necessarily like a super viral game because it doesn't have that many elements to it but you can create something crypto kiddies like that could reach a much much much wider audience of people without like completely reaching the entire capacity the ES20 to ES20 error is great but do you think it's going to break liquidity because it's going to create a lot of unique errors that is a good question I think that the way that I see it playing out is that for the vast majority of tokens they would still be paired with ETH the only really ETH or maybe some stable coins I think that there are very specific use cases I don't know if you've heard of like yield protocol that maybe makes usage of sort of of the arbitrary pairs but for most of them I just see them being paired with like maybe ETH maybe DAI maybe USDC you have a couple and if you do a couple it's actually not that difficult to kind of check the price on a couple different ones yeah actually if you want to so the idea of the yield protocol is that if you take Y tokens and you pull them with their respective tokens if you have like YMKR and you have the Oracle features then you can create an interest rate Oracle that can be used in systems like CalmDown yeah any other questions I've heard discussions about determining the transaction fee on Uniswap as a meter we have constant slippage for a given price is there any research like instead of using a 0.3% they're just having something that's more dynamic that could reduce there has been research actually a lot of that research I don't know if you've heard of Charlie Noyes at Paradigm he's been investigating that at the current moment I don't have any sort of formula that I think is better what option is you can just really create pools of few different denominations and the problem there is you once again for actual liquidity it's definitely like an important area of research some of my intuition around this is basically if you had a different fee all it would really mean is like maybe almost like a different liquidity level where this would be equilibrium like there's sort of a point with the volume and the liquidity kind of matches up and I think that that point just kind of changes based off the fee level but for certain pairs it's true that like if you can have a specific pair that's really really I think that's about 20 minutes but basically if you could have a specific pair that's like really like tightly very tight margins on another exchange obviously Uniswap becomes less efficient for that so this doesn't use metatransactions actually this uses Unipic uses a in browser burner wallet which is nice so it can like sign for your private key it's stored in your local storage or your companies or whatever so the idea when I said native metatransactions what I really mean is native account abstraction basically the idea is in Bitcoin for example you can sort of take multiple UXCFOs and you can kind of send them like you can basically paralyze or like say these three transactions all need to happen synchronously in Uniswap or on Ethereum you have to use a smart contract to do it so it makes it a little bit more complicated to kind of queue up for example if you want to do an approve and then a transaction that uses transfer from you can't naturally queue them up directly from your wallet but it would essentially allow you to queue up transactions so that you can alright I think that's at the ground time


So if you think about it if you travel to another country another town and you want to get a cup of coffee You could go try out the local coffee shop But for a lot of people in the United States and around the world They're gonna go to Starbucks and why do they do that? Is it cuz Starbucks is the best coffee in the world? I actually really like Starbucks coffee, but I know a lot of people who don't think it's very good No, they do it because they know what they're getting and they don't have to worry about walking in a local coffee shop Paying for the coffee getting coffee and saying this coffee sucks They don't have to worry about that. So that's the value of the brand. It's not that there is green in Starbucks logo It's not they have the most beautiful logo ever or that their product is the greatest product ever created It is that they are consistent and when they promise something they deliver Consistently over time and you're not going to make a mistake by going there because you know what you're getting Even if it's not your favorite cup of coffee, you know exactly what you're in for


As you can imagine, after that occasion I have not had the pleasure of wearing my wig again and I have only grained now so much that I'm not even so sure that I need a wig if I do show up again at the Supreme Court. I'm extremely grateful to the firm of Wale Ollani Baikon, convener of this important conversation on our system of administration of justice, on this very kind invitation. Chief Wale Ollani Baikon is without doubt one of the most consequential lawyers in not only in our country but perhaps even in the common world. Today his exceptional success with novel constitutional constructs is swiftly becoming the staff of legend. But this day he is doing his best and I want him to listen to this very well. This day he is doing his best to enjoy the very huge fruits of his labour and has sensibly handed over the tougher parts of running the law firm to his two exceptionally brilliant chiefs of the old block, Dr. Ollani Baikon, senior advocate of Nigeria and Mr. Ollani Baikon, senior advocate of Nigeria. I commend you both for this exceptional idea and the execution of this summit. This theme covers a very broad range and I am just after listening to Odita covering the wide range of issues and with such incredibly appropriate examples and illustrations, one really would rather not say anything, would just go straight to the discussions so that we can make our contributions. So what I will try to do is to focus my comments on the responsiveness of our system of administration of justice to the ends of social justice, or the social ends that is to say. I just mentioned a thing or two about some of the other structural issues at the end of my presentation. We are at a moment in history like no other. A global pandemic of a magnitude probably never seen before and the worst global economic decline in the century. Economies like politics is here in Nigeria who are already grappling with issues of poverty, entrenched in quality, disparities in access to social and economic opportunities, constraints to access to justice. And I think as Fidel said, not just access to justice, but perhaps more importantly, exiting justice, the justice system. And the diminishing faith in governing institutions generally, at the same time in security in parts of the country, stretching our law enforcement infrastructure to its very limits. But we're also at the most technologically advanced moment in human history. And this is the same for us in Nigeria, with artificial intelligence, the Internet of Things, and now even 5G, redefining commerce, medicine, entertainment, and even how we work and play. The conflation of these events is both enormously, my view, exacerbating, but it's also incredibly hopeful time. And for our system of justice, it offers great opportunities and we must not, we must not in any way diminish those opportunities that it offers. But we are faced today with demands for both structural and philosophical change in the administration of justice system. And I cannot, I can't but help repeating how well Fidel has put a lot of these issues. But the big question is also the relevance of our paradigms of justice to the major socioeconomic circumstances that confront us. The law is a social construct that makes sense only within a social context. To treat the law as something apart from society or as a body of technical abstractions is to strip it of meaning and to alienate the legal order from the very people that it is meant to serve. Consequently, a definition of justice that focuses on social and economic rights of the people is not only meaningful, it is certainly more just. Of course these rights, as we know, include the right to shelter, food, employment, education, a reasonable standard of living, national, a national living wage, a national minimum wage, care for the elderly, pensions, unemployment benefits and the welfare of the physically challenged. Our progress in the observance of socioeconomic rights must also be prosecuted in terms of the struggle to reduce the basic problems of ill health, malnutrition, illiteracy, farming, etc., which daily afflict our people. Where social and economic rights are unsecured, people are enabled to fully maximise the civil and political rights. So for instance, access to qualitative education, enhances and enriches freedoms of expression, thought and culture. Conversely, pervasive illiteracy can nullify the entire idea of freedom of expression. In the progressive vision, political rights and socioeconomic rights are mutually reinforcing. But socioeconomic rights, even where they are wholly justiciable, mean nothing unless there is a physical commitment to enforcement. And so this is crucial because it's a crucial, in my view, intersection of politics, of ideology and of notions of justice. And this may explain why the opposition in Nigeria was prepared to abolish a social investment programme if they were. While our party's understanding of the imperative of delivering social justice was a provision of a massive social safety net, or at least the beginnings of the provision of a massive social safety net, there was a fundamental feature of the party's manifesto. So our social investment programme, which is possibly one of the most ambitious welfare programmes on the continent, and our effort to expand universal health insurance, all aim at ensuring that our most vulnerable citizens are not abandoned to the existence of fate. Consequently, socioeconomic rights, where they find fiscal support, is absolutely crucial. And if they do not find fiscal support, obviously, the whole cause is lost. It's of course evident that without social justice, legal justice, in any sense, is unattainable. The degree to which citizens are in possession of their socioeconomic rights also has a direct impact on the degree of their access to legal services and bends to justice. Our constitution asserts that the independence, impartiality and integrity of the courts of law, and easy accessibility there too, shall be secured and mended. It's significant that the framers of the constitution enshrined access to justice along with socioeconomic rights in the directive principles and objectives of state policy. But this indicates clearly that they saw access to justice and the integrity of our justice system and socioeconomic rights as related imperatives. And I think that that's the right construct, that's the right framework. There's also a growing recognition, especially in criminal justice, that the model of adjudication that we are accustomed to, which largely dispenses retributive justice, is not entirely adequate to meet the demands of justice in the various complex scenarios and situations that confront a developing country such as ours. Given the tensions and frictions generated by contending passions and grievances and the social reality of inequality and inequity, there's also a recognition that some of the most serious situations, which threaten to even sometimes, you know, break the fabric of society, require much more than just retributive sanctions by judicial system. They require restorative justice to bring about healing and the reconstruction of communities. This is one of the approaches that we're looking at as part of our efforts to resolve protracted ethnic and religious conflicts. In many, many cases, it's not enough to arrest, detain and then prosecute a terrorist or jail someone who has abducted children for years. There is a need somehow to find a process by which restorative justice can be brought to there, by which the communities can feel somehow, by which their feelings of violation can be assuaged. Already, the National Policy on Justice embodies some of these prescriptions and offers pathways of innovation for more holistic approaches to justice delivery. There's still much work, of course, to be done in this respect. But just to mention as I close, just a few of the issues which I've described as infrastructural issues. How do we ensure that we attract an appointment to be the best amongst us to the bench? What can we do about unreasonable delays in justice delivery? How will technology affect our institution of justice system? What needs to be done to maintain the integrity of our judicial processes and outcomes? To take the easiest first, and I'm not going to make any elaborate comment as I said, I endorse fully practically everything that Mr. Davis said. There's little doubt that technology has already permanently changed the way we do business. It's been caused in the wake of the pandemic and those virtual court proceedings. So I'm incurring there, at least the doors have been opened for whatever the implications of virtual court proceedings mean. Digitization of trial processes is now inevitable, and they are very many easy to use models. This will by itself, in my view, impact trial times. Recording proceedings will be easier and so will several other things. And I agree with Fidel is that sometimes technology might be slower than manual processes, especially because we haven't got the technology right. But I think that with more frequent use and with states like Lakers, we'll probably get it right much faster. We've been at this issue of digitization for quite a few years now, but I think that it is getting much easier to adopt some of the best models that there are. But the important correlation between the cost regime and the speed and efficiency of trials, again, is a very crucial issue. We cannot have the cost regime we have today and expect that lawyers will not engage in dietary tactics, especially where the lawyer knows he has no case. So really, again, I fully endorse what Fidel has said in his presentation about how the cost regime should influence the way that trials run, and also how dietary tactics are punished by the sorts of costs that have to be paid by counsel that engage in such content. We must take the opportunity also to rewrite procedures to remove needless processes and rituals. And I think, again, to the point that Fidel has made, this entire approach of just a completely technical way, it has given rise to the most absurd outcomes, the obsessive, and I think that that's what the elevation of form over substance. This is obviously a matter that we must take seriously, and it's a matter that we must address, not just as professionals, but we must involve all the arms of government. I have the privilege of speaking at a webinar on appointment of judges, I think, about two weeks ago. And this matter also came up. I think it's important for us to sit together, that is to say, the leadership of the legal profession, the executive judiciary, and the legislature, to take a second look at some of these issues. What's the point of the whole, if you look at judgments, as you said, some of the judgments where there's just been an unnecessary emphasis on technical outcomes, where in fact the entire justice of the case is just ridiculous. I think when a case is decided right, when justice is done, practically everybody feels that justice has been done. And it's not a very difficult thing to achieve at all. And I think that every time that technicality is raised over the justice of the case, it just leaves a sour taste in the mouth, and everybody does feel that something has been violated. So it shouldn't be a very difficult thing at all to get the justices of the Supreme Court and a lot of our justices to understand what needs to be done and to do what is required. On judicial appointments, it's clear that a merit-based system is absolutely necessary. We need to insist on mandatory tests and interviews for all applicants. And I'm sure that this matter will be addressed in detail by, I know we have someone from the UK, the judicial appointments, who will be looking at the system in the UK. But clearly, we need to look more carefully at how our judges are selected. And there has to be an objective process of selecting justices. And we cannot insist that the only way to become a judge is to be a career person or at least to move from high court to the Court of Appeal and Supreme Court. We must be able to bring in practicing lawyers, we must be able to bring in academics to be justices of the Court of Appeal, to be justices of the Supreme Court. And if it requires writing the rules, then let us rewrite the rules, so that this can be made possible. I think that the point which has been made again by Fidelis about the fact that we're not going to get angels to reform our system is what we've done by ourselves. And I think we in the legal profession, even if only for self-preservation, even if only to preserve our own profession and our means of livelihood, if we have no higher, if we have no higher objectives, we throw it to ourselves to change all of what we see. And it means engaging with the Supreme Court, it means engaging with the government, with the executives, with the legislature, to change some of these rules. And I think the case is very clear and evident that change is necessary. And that the reform of our judicial system is urgent. Every minute of delay simply worsens the bleeding. So just to say thank you again for the very kind invitation and for this opportunity, and I am looking forward to some of the discussions as we go. Thank you very much. Thank you very much, Your Excellency. It's always a pleasure to hear from you.


Hello everyone today. We're going to look at this sleep trainer clock. It's the sg-5 You've got four different models to choose from we have the cat and there's also a bunny rabbit It has two alarm settings course your time Sun moon light It has sound power and Volume up and down buttons the sleep sounds are bird Rain bonfire white noise and piano alarm sounds you have your ring a Bird a trumpet a chicken and water We'll open this up I'll show you what it comes with It's very well packaged Here's the unit. Here's the USB core. It is the USB C have your adapter For the wall receptacle and you have very easy to read instructions in your little manual on the back It shows you alarm one two power the time Sun and moon Up and down volume buttons sound and light. Here's the USB port For your cord comes tied up with a nice little rubber band This being a USB C you can plug it in Either way, you don't have to look and see which way you're plugging it in and here's your wall receptacle adapter It just plugs in like that now you plug it into the receptacle This is a rechargeable clock so you can take it with you on the go It does have a sun and moon so the sun is when the child knows that it's time to get up And when the moon comes up then the child knows it's time for bed. It has different Brightness levels for the clock.  It has three different piano sounds There's piano one There's a bird There's the piano sound number two There's white noise There's piano sound three There's the bonfire And there's the ring Now we're going to hear some of the alarm sounds. There's the trumpet This is a very nice clock and it's great to teach your kids how to use a clock and to wake up And when it's time to go to bed very nice Another cute feature if you just hit the snooze button The ears light up and the night light also has three different levels very nice clock


Live from New York, it's theCUBE. Covering Big Data New York City 2016. Brought to you by headline sponsors, Cisco, IBM, NVIDIA and our ecosystem sponsors. Now here are your hosts, Dave Vellante and George Gilbert. Welcome back to New York City everybody. Nenshad Bardoliwala is here. He's the co-founder and chief product officer of PIXADA, a company that three years ago, I want to say three years ago, came out of Stealth on theCUBE. October 27th, 2013. Right. And we were at the hotel, the Warwick Hotel across the street from the Hilton. And yeah, Prakash came on theCUBE. He did. Came out of Stealth and welcome back. Thank you very much. Great to see you guys breaking the way of taking the world by storm. Great to be here. And of course Prakash sends his apologies. He couldn't be here so he sent a stunt double. Great. So give us the update. What's the latest? So there are a lot of great things going on in our space. The thing that we announced here at the show is what we're calling Paxata Connect. We are moving just in the same way that we created the self-service data preparation category. And now there are 50 companies that claim they do self-service data prep. We are moving the industry to the next phase of what we're calling our business information platform. And Paxata Connect is one of the first major milestones in getting to that vision of the business information platform. What Paxata Connect allows our customers to do is number one, to have visual, completely declarative, point and click browsing access to a variety of different data sources in the enterprise. So for example, we support, we are the only company that we know of that supports connecting to multiple, simultaneous, different Hadoop distributions in one system. So a Paxata customer can connect to MapR, they can connect to Hortonworks, they can connect to CloudEra, and they can federate across all of them, which is a very powerful aspect of the system. And part of this involves, when you say declarative, it means you don't have to write a program to retrieve the data. Exactly right. Okay, that's... Exactly right. So... And is this going into HGFS, into Hive or...? So, yes it is. And in fact, so Hadoop is one part of this multi-source Hadoop capability is one part of Paxata Connect. The second is, as we've moved into this information platform world, our customers are telling us they want read, write access to more than just Hadoop. Hadoop is obviously a very important part, but we're actually supporting no SQL data sources like CloudInt, MongoDB, we're supporting read and write, we're supporting for the first time relational database, we already supported read, but now we actually support write to relational databases. So Paxata is really becoming kind of this fabric that's able a business-centric information fabric that allows people to move data from anywhere to any destination and transform it, profile it, explore it along the way. Excellent. Well, let's get into some of the use cases. Yeah, tell us where the banks are and the sense at the conference is that everyone sort of got their data lakes to some extent up and running. Right. So now where are they pushing to go next? Sure, that's an excellent question. So we have really focused on the enterprise segment, as you know. So the customers that are working with Paxata, from an industry perspective, banking is of course a very important one. We were really proud to share the stage yesterday with both Citi and Standard Chartered Bank, two of our flagship banking customers. But Paxata is also heavily used in the United States government and in the intelligence community. I won't say any more about that. It's used heavily in retail and consumer products. It's used heavily in the high-tech space. It's used heavily by data service providers, that is companies whose entire business is based on data. But to answer your question specifically, what's happening in the data lake world is that a lot of folks, the early adopters, have jumped onto the data lake bad wagon, right? And so they're pouring terabytes and petabytes of data into the data lake. And then the next question that the business asks is, okay, now what? Where's the data, right? So one of the simplest use cases, but actually one that's very pervasive for our customers, is they say, look, we don't even know, our business people, they don't even know what's in Hadoop right now. And by the way, I will also say that the data lake is not just Hadoop, but Amazon S3 is also serving as a data lake. The capabilities inside Microsoft's cloud are also serving as a data lake. So even the notion of a data lake is becoming this sort of polymorphic distributed thing. But so what they do is they want to be able to get what we like to say is first eyes on data. We let people with Paxata, especially with the release of Connect, to just point and click their way and to actually explore the data in all of the native systems before they even bring it in into something like Paxata. So they can actually sneak preview thousands of database tables or thousands of compressed data sets inside of Amazon S3 or thousands of data sets inside of Hadoop. And now the business people for the first time can point and click and actually see what is in the data lake in the first place. So step number one is we have taken the approach so far in the industry of, there have been a lot of IT-driven use cases that have motivated people to go to the data lake approach. But now we obviously want to show, all of our companies want to show business value, and so tools and platforms like Paxata that sit on top of the data lake that can federate across multiple data lakes and provide business-centric access to that information is the first significant use case pattern we're seeing. Just a clarification. Sure. Could there be two roles where one is for slightly more technical business user exposes views, summarizing so that the ultimate end user doesn't have to see the thousands of tables? Absolutely. So that's a great question. So when you look at self-service, right, if somebody wants to roll out a self-service strategy, there are multiple roles in an organization that actually need to intersect with self-service. There is a pattern in organizations where people say we want our people to get access to all the data. Of course it's governed, they have to have the right passwords and SSO and all that, but they are the companies who say yes, the users really need to be able to see all of the data across these different tables. But there's a different role who also uses Paxata extensively, who are the data curators, right? These are the people who they say, okay, look, I'm going to provision the raw data, provide the views, provide even some normalization or transformation, and then land that data back into another layer, as people call the data, right? They go from layer zero to layer one to layer two. They're different directory structures, but the point is there's a natural processing frame that they're going through with their data, and then from the curated data that's created by the data stewards, then the analysts can then go pick it up. One of the other big challenges that our research is showing that chief data officers express is they get this data in a data lake, so they've got the data sources, you're providing access to it, the other pieces, they want to trust that data. Obviously a governance piece, but then there's a data quality piece, maybe you could talk about that. Absolutely, so use case number one is about access. The second reason that people are not, so why are people doing data prep in the first place? They're trying to make information-driven decisions that actually help move their business forward, right? So if you look at researchers from firms like Forester, they'll say there are two reasons that slow down the latency of going from raw data to decision. Number one is access to data. That's the use case we just talked about. Number two is the trustworthiness of data. So our approach is very different on that. So once people actually can find the data that they're looking for, the big paradigm shift in the self-service world is that instead of trying to process data based on transforming the metadata attributes, like I'm going to draw on a workflow diagram that, you know, bring in this table, aggregate with this operator, then split it this way, filter it, which is the classic ETL paradigm. The, I don't want to say profound, but maybe the very obvious thing that we did is to say, well what if people could actually look at the data in the first place? Sort of program it by example. We can tell, that's right, because our eyes can tell us, our brains help us to say, we can immediately look at a data set, right? You look at an age column, let's say, and there are values in the age column of 150 years, right? Now, maybe 20 years from now, there may be someone who on earth lives to 150 years, but pretty much- Highly unlikely. The customers of the banks we work with are not 150 years old, right? So just being able to look at the data and to get to the point that you're asking, quality is about data being fit for a specific purpose. And in order for data to be fit for a specific purpose, the person who needs the data needs to make the decision about what is quality data. So both of you may have access to the same transactional data, raw data, that the IT team has landed in the Hadoop cluster. But now you pull it up for one use case, you pull it up for another use case, and because your needs are different, what constitutes quality to you and where you want to make the investment is going to be very different. So by putting the power of that capability into the hands of the person who actually knows what they want, that is how we are actually able to change the paradigm and really compress the latency from here's my raw data to here's the decision I want to make on that data. Let me ask that, so it sounds like having put all the self-service capabilities together, you've democratized access to this data. Now, what happens in terms of governance or more broadly just trust when the pipeline has to go beyond where you're working on it to some of the analytics or some of the basic ingest to say, I know this data came from here, it's going there. How do we verify the fidelity of these data sources? So it's a fantastic question. So in my career, having worked in BI for a couple of decades, I know I look much younger, but it has actually been a couple of decades. And remember, the camera adds about 15 pounds for those of you watching at home. But you've lost already. Well, thank you very much. So you've lost net 30. Or maybe I'm back to where I'm supposed to be. But what I have seen is the two models of governance in the enterprise when it comes to analytics and information management, right? There's model one, which is we're going to build an enterprise data warehouse. We're going to know all the possible questions that people are going to ask in advance. We're going to pre-program the ETL routines. We're going to put something like a micro strategy or business objects in an enterprise reporting factory tool, right? And then you spend $10 million on that project. The users come in and for the first time they use the system, they say, well, I kind of want to change this way. I want to add this calculation. It takes them about five minutes to determine that they can't do it for whatever reason. And what is the first feature they look for in the product in order to move forward? Download to Excel, right? So you invested $15 million to build a download to Excel capability, which they already had before. So if you lock things down too much, the point is that the end users will go around you. They've been doing it for 30 years and they'll keep doing it. Then we have model two. Model two is Excel spreadsheet, Excel hell, right? Or spread marks, there are lots of words for these things. You have a version of the data, you have the version of the data, I have a version of the data. We all started from the same transactional data, yet you're the head of sales, so suddenly your forecast looks really rosy.  And I'm the product guy, so why am I even looking at the forecast on the first place, but somehow I got access to the data, right? So these are the two polarities of the enterprise that we've worked with for the last 30 years. We wanted to find the sort of the middle path, which is to say, let's give people the freedom and flexibility to be able to do the transformations they need to. If they want to add a column, let them add a column. If they want to change the calculation, let them add a calculation. But every single step in the process must be recorded. It must be versioned. It must be auditable. It must be governed in that way. And so why the large banks and the intelligence community and the large enterprise customers are attracted to Paxata is because they have the ability to have perfect retraceability for every decision that they make. I can actually sit next to you and say, this is why the data looks like this. This is how this value, which started at 1 million, became 1.5 million. So that covers the Paxata part. But then the question you asked is, how do you even extend that to a broader ecosystem? And I think that's really about some of the metadata interchange initiatives that a lot of the vendors in the Hadoop space, but also in the traditional enterprise space, have had for the last many years. So if you look at something like Apache Atlas, right, or Cloudera Navigator, they are systems designed to collect, aggregate, and connect these different metadata steps so that you can see in an end-to-end flow, this is the raw data that got ingested into Hadoop. These are the transformations that the end-user did in Paxata in order to make it ready for analytics. This is how it's getting consumed in something like Zoom data, and you actually have the entire life cycle of data now actually manifested as a software asset. Those are not, in other words, those are not just managing within the perimeter of Hadoop. They're managers of managers. That's right. Okay, okay, that's clear. Because the data is coming from anywhere and it's going to anywhere. And then you can add another dimension of complexity, which is it's not just one Hadoop cluster. It's 10 Hadoop clusters. And those 10 Hadoop clusters, three of them are in Amazon, four of them are in Microsoft, three of them are in Google Cloud Platform, and how do you know what people are doing with data then? How was this all presented to the user? What does the user see? Great question. So the trick to all of this, of self-service, so first you have to know very clearly who is the person you're trying to serve. What are their technical skills and capabilities and how can you get them productive as fast as possible? So when we created this category, our key notion was that we were gonna go after analysts. Now that is a very generic term, because we're all in some sense analyst in our day-to-day lives. But in Paxata, a business analyst in an enterprise organizational context is somebody that has the ability to use Microsoft Excel. They have to have that skill or they won't be successful with today's Paxata. They have to know what a VLOOKUP is, because a VLOOKUP is a way to actually pull data from a second data source into one, which is, we would all know that as a join or a lookup.  Because the key insight we had is that of the hundreds of millions of analysts, people who use Excel on a day-to-day basis, a lot of their work is data prep. But Excel, being an amazing generic tool, is actually quite bad for doing data prep. So the person we target, when I go to a customer and I say, do they say, are we a good candidate to use Paxata? And we're talking to the actual person who's gonna use the software. I say, do you know what a VLOOKUP is? Yes or no? Do you know what a pivot table is? Yes or no? If they have that skill, when they come into Paxata, we designed Paxata to be very attractive to those people. So it's completely point and click. It's completely visual. It's completely interactive. There's no scripting inside of that whole process because do you think the average Microsoft Excel analyst wants to script or they want to use a proprietary wrangling language? I'm sorry, but analysts don't want to wrangle, right? Data scientists, the 1% of the 1%, maybe they like to wrangle, but you don't have that with the broader analyst community and that is a much larger market opportunity that we have targeted to this point. Well, very large. I mean, a lot of people are familiar with those concepts in Excel and if they're not, they're relatively easy to learn. That's right. So excellent. All right, I'm Chef. We have to leave it there. Thanks very much for coming on theCUBE. Appreciate it. Congratulations for all the success. Thank you. All right, keep it right there. We'll be back with our next guest. This is theCUBE. We're live from New York City at Big Data NYC. We'll be right back.