we don't let kids decide anything of importance. Almost nothing in the modern world with helicopter parents. Now we wanna let kids decide to take hormones that will prevent them from having puberty, that will change their sex. I mean, that to me is insane. Can't, I think it's child abuse. I think the state should prevent parents from transitioning children. I think it should be a crime to transition children. Certainly before puberty. But again, I think the child needs to consent and because it needs to consent, it needs to be at the consent age, which means 18. And I don't think this subjectivist nonsense should be taught.


In this video, I will develop the topic of disk encryption with BitLocker. This material will help you to secure your data on hard disks and removable devices with the help of Windows built-in tools. BitLocker is only available to users having Windows Vista or 7 Ultimate and Enterprise Editions or Windows 8 or 10 Pro and Enterprise Editions. The encryption process boils down to using a special algorithm to transform data into a format that can be accessed by the owner only. In order to enable BitLocker encryption, open Control Panel, BitLocker drive encryption. You can also encrypt a hard disk or USB drive by right-clicking on the necessary drive in the folder of this PC and choosing the element turn on BitLocker. If this option doesn't appear in the list, then it means that you are using an operating system without BitLocker support. In the open-in BitLocker drive encryption window, you will see all removable and non-removable data storage devices connected to this PC. There are two encryption types available. For logical partitions. It allows encrypting any built-in non-removable disks system or not. When the computer is turned on, the loader starts Windows from the system-reserved partition and suggests choosing a method to unlock, for example, using a password. After that, BitLocker decrypts the disk and starts Windows. The encryption-decryption process is on the go, and you can work with the computer in the same way as before encryption was enabled. You can also encrypt other disks in your computer as well. It is available not only for the disk with the operating system. You will have to enter a password when you address such disks for the first time. The other type is for encrypting removable or external devices. All media, such as USB drives and external hard disks, can be encrypted with BitLocker to go. You will be suggested to enter a password to unlock the media when you connect it to the computer. Users who have no password won't be able to access files stored in such media. Let's enable BitLocker in 4DSD. Turn on BitLocker. In the window that opens, you have to select how to unlock the disk. There are two options – use a password or use a smart card to unlock the disk. Smart cards are often used in large companies to unlock drives. This method requires having a smart card and a special reader device. After I check the box next to the password setting option, the fields to enter the password become active. Enter it twice and then click Next. Remember that it should be at least eight characters long. The next step in enabling BitLocker is to set up and backup a recovery key in case the main password is lost. Before encrypting the disk, the BitLocker will give you a recovery key. This key will decrypt an encrypted disk if the password is lost or entered incorrectly several times, and in all other cases when there is no password or the system won't recognize it. You can save the key to a file, print it, and keep with other important documents or upload it to your Microsoft account. If you save your recovery key to your Microsoft account, you'll be able to access it later by following this link – one drive.leave.com.recoverkey. You can find it in the description. Make sure you are going to keep this key in a safe place. If anyone gets it, they will be able to decrypt the disk and get access to your files. It is reasonable to have several copies of the key and keep them in different places. If you have no key and something happens to your main unlock method, your encrypted files will be lost forever. I choose save to a file. To demonstrate it, I save the recovery key to desktop, but I don't recommend doing that. Save – yes. You can check it once if the file is in the directory where you saved it. Here is the key file. The recovery key contains 48 characters. Here it is. After BitLocker is turned on, it will automatically encrypt new files as they are created or modified, but you can choose what to do with the files that already exist on your hard disk. You can encrypt used space only or encrypt the entire drive. Encrypting the entire drive takes much longer, but it will protect you against recovering deleted files. If you are setting up BitLocker on a new computer, then encrypt used space only. It will be faster. I choose encrypt entire drive. Next. Beginning with build 15.11, Windows 10 features a new encryption mode, XTCAS. This encryption method provides additional integrity support, but it is incompatible with earlier versions of Windows. In my case, the internal hard disk is encrypted, so I choose new encryption mode. If it was an external disk or a USB drive, I would recommend going for a compatible mode. Windows 7 and 8 and earlier versions of Windows 10 won't have this item. Next. Stopped encrypting. The encryption process starts. You can use the computer while the process is running, but it will make it slower. In the system tray, the BitLocker icon appears, so click on it to see the progress of encryption. After the disk is encrypted, there will be a special icon shown on the disk in Windows Explorer. When trying to access the disk and its data, you will need to enter a password to unlock it. If you forgot the password, you can enter the recovery key here. If you check the box next to turn on auto-unlock, then the disk will unlock every time you reconnect it to a disk computer, but it applies more to removable media. After the disk is unlocked, all files it contains will be available for use. The disk will be locked again only after the computer is shut down or is started. The menu Manage BitLocker will also become available for the encrypted disk. In order to get there, right-click on the encrypted disk and choose Manage BitLocker to go to Control Panel. This is where you can backup recovery key, create another copy, change password, remove password, add smart card, turn on auto-unlock or turn off BitLocker. Remember that if you forgot the password to your encrypted disk and the recovery key is lost, you cannot get access to data in such disk. That is why you should keep your recovery key in a very safe place. If you want to use such disk later, it can be formatted. Formatting will destroy all data on the disk, but you will be able to access and use it again. Accidentally deleted files of data lost as a result of encrypting the disk with BitLocker still can be restored with Hetman Partition Recovery. However, you should unlock the disk before scanning. Without the unlocking password, all data remains encrypted and can't be restored. To do it. Double-click on the disk in the Explorer window and enter the password. As Windows uses the only-go encryption principle, the recovery process will be no different from working with any other disk. Watch our videos to learn how to restore data from a hard disk or a movable media with Hetman Partition Recovery. Use the links in the description for this video. If you no longer need to encrypt your data, just turn off BitLocker and the disk will be decrypted. To do it. Go to Manage BitLocker. Go to the Encrypted disk. Select Turn off BitLocker. Click Turn off BitLocker again to confirm your choice. Decryption is running. Disk decryption is over. Now the disk icon is back to standard, and you can use this disk without having to enter a password or a recovery key. That is all for now. In our next videos, we will have a closer look at BitLocker settings, find out what TPM is, and how to set up and use BitLocker on a computer without TPM. If you liked this video, click the Like button below and subscribe to our channel to see more. We'll be glad to answer any questions and comments. Thank you for watching and good luck.


the investment dollars to set up their own smart grid so call it smaller utilities municipalities co-ops the ability to buy it as an electronic grid and energy grid what smart meters and the infrastructure necessary to get all the return on investment from smart grid as a service so clearly buying it on a per meter per month basis is really kind of the market that we're going after what are the big things you're seeing and this is an emerging trend obviously you know clean tech energy is a big big hot button in in today's society and technology through sensor networks and everyone talks about in our world and you know the Internet of Things what we're really talking about here is how using the Internet and technology to connect to our lives so how does that fit into all that well clearly one of the best ways of reducing the overall cost of producing electricity is to get consumers to moderate their own demand during peak times the return on investment is pretty well proven it has all of those things that you're talking about for distributed automation all of those kind of activities but really it requires the Internet to provide the feedback loop to customers so from that standpoint it really is bringing the power of the Internet and networking technology to individual consumers to manage their own electricity spend so where do you live which which part of the country I live in San Diego so you're in San it's not a bad place me lawyer I have friends there it's gorgeous gorgeous environment California obviously is very sensitive to the energy is there any spots within the US and are outside the in the world that are highly sensitive to the energy smart grid is our early adopter regional focus yeah I think I think California is one of the the hot spots for it mainly due to the deregulation that occurred and some of the the I guess problems that engendered there's areas of the country where there's very cheap sources of electricity and so they and they have plenty of it you know clearly in California we're worried about having enough during peak times so California is a big hot spot for this and certainly and certainly the Public Utilities Commission in California has mandated that the big investor-owned utilities like Edison SDG and PG&E put a smart grid in so we you know Dave Vellante my co-host is back Dave welcome back on the set thank you John Eric has got a smart grid as a service technology EMC customer so he's kind of like our Tom Peck of the day so he's got V block and we're just talking about the smart grid we have about 3,400 people watching hello everybody welcome to the new surge of audience 3,488 to be exact smart grid is a cool application Dave sitting on top of the block and and it automates a lot of the energy consumption that users can keep so the futuristic scenario is I got my mobile device I'm managing my utilities watching my bill not overpaying I can program my infrastructure is that kind of an accurate view and are that oversimplifying it what's the scenario for the future use case I think that's certainly one of the major use cases that is available but clearly from a utilities perspective it gives individual users at their home the ability to program how much of their electricity use and gas and water ultimately that they really want to use at any one particular point in time the payback from a utility standpoint as they can also reduce their accounts receivable and bad debt so you can set up through smart meters the ability to set up customers on pre-pay that alone actually pays for a lot of the infrastructure Dave and I are Dave and I were talking about innovation and the sandbox of Silicon Valley obviously in your area in La Jolla pretty well known for a lot of telecom and a lot of innovation down there and SCSC is known player in La Jolla and San Diego community so innovation is on top of mind but a lot of baggage exists in IT Dave and I talk all the time about Oracle and some of the you know flexibility issues around agile issues around Oracle or lack thereof and things like SAP which is more open you get closed Oracle open SAP how do you guys look at those new environments because V block is really interesting because it allows you to work in a very open new innovative way in this culture so what's your experience with the IT landscape to make this happen how do you get to that innovation point well certainly with a lot of the utilities that we're working with they tend to be on the smaller end of the IT spectrum often you know IT departments measured in the tens or even the single digits they really need IT help there are several decades behind and from our standpoint the ability to buy this as a service you know pretty much as a service appended to the end of anything is kind of the the latest buzzword but from our standpoint it really provides a way of of helping out IT in this instance a lot of the applications that we're using are from Oracle you know they have a meter data management system that is is part of our offering potentially as well as other vendors clearly virtualized it is virtualized and really what we're talking about is having the ability to support large numbers of individual utilities with a whole bunch of different applications you know in order to put in a smart grid you need a meter data management system a head-end system often you want to supplement that with a customer information system a GIS system a workflow management system all of these systems clearly the the upfront investment to put them in yourself especially for a small shop is kind of prohibitive and so we're trying to address that end of the market so these are Oracle database based applications correct or not necessarily or or sequel or see or see okay so so in the case of Oracle database based applications are you virtualizing those absolutely you are okay and Oracle supporting that or certifying it or kicking and screaming kicking and screaming yeah okay so this is a common theme that we hear in our community and we've studied this a lot we we know that technically there's no reason that VMware and Oracle they just work fine together but Oracle of course wants you to use Oracle VM and all that stuff but so you have figured out how configure Oracle for VMware and it works great we know this and then it's on you to figure out how to work with Oracle but so your customers don't see any of this I'm correct what do you think of the the Microsoft scenario I mean Microsoft is a big IT player and and they just bought Skype so we know we've been covering that like a blanket on the Skype video so video is a big part of that new Microsoft scenario in your environments is video surveillance kind of playing into this grid smart grid technology can you certainly that's part of the smart sensors you mentioned earlier you know the ability to actually use that network the sensor network that you put in place primarily built on the back of smart meters and collectors you certainly can use it for surveillance of your substations you can add all kinds of applications on top of it from a Microsoft standpoint clearly a lot of the servers run on server 2008 and so there's certainly a lot of overlap with what we do and as I said it's not exclusive to Oracle I mean we use a lot of SQL server and what we're doing as well so you guys are cloud right I mean and let's talk about vblock and how it fits into the cloud this notion of taking a single logical block of infrastructure to support applications across the portfolio that's new it is how does that change the way in which you look at organizing your IT organization and and the various roles I mean you previously right you might have silos of storage admin server admin network admin is that changing as a result of this well clearly if you're buying it as a service you have to be willing to outsource or at least have someone else run some of that for the smaller utilities we deal with that they really can't hire the kind of expertise that they need in order to advance and so they're they're more happy to do that but you know what we're offering is really a private cloud on a shared basis if you can think of it that way I mean it is really not a public cloud all of our customers are telling us that you know using the traditional public cloud vendors to store their data it's kind of a non-starter from a data security standpoint certainly some of the the Sony incident some of the other ones have brought that to a strong light recently so we're offering virtually private if you will or dedicated private cloud services to each of these utilities but using the vblock on a shared basis okay and so from your standpoint are you organizing different than say a tradition I mean you've got a deep background in IT is it changing the way you might organize an IT environment or not necessarily well we're a traditional IT outsourcer and so we certainly have all the traditional disciplines that you would expect from a traditional IT outsourcer we're applying that best practice knowledge to this new environment and acting as an extension of the IT departments in each of these utilities so generally speaking they're looking at us to come in and provide best practices that allow them to accomplish things that they really could not do on their own okay so what about um talked about security before um that's interesting you've got essentially a multi-tenant private cloud so how are you architecting security to deal with that well a lot of the smaller utilities we deal with are together in what they call joint action agencies and so they've already agreed to share data or aggregate data but really on a on basis of very defined rules so if there's a data warehouse where the data is aggregated we provide very specific rules to make sure it's private to each client so it you know it really is using the ability built into the database to segregate data to keep it virtually private to that particular client so i mean that's got to be on the top of mind for your customers they must ask you about security a lot right that that's probably question number two after cost so cost is number one yeah cost is still number one so but that's in your sweet spot isn't it it really is i mean scic is known for cyber security we do it for all the three-letter agencies and we applied that knowledge frankly into this space using some of our unique technologies that we have how about privacy you know you hear a lot about security but you don't hear as much talk in the enterprise about privacy you certainly hear a lot you know with the sony hack and and and now that you know you know google android and iphones are following us around um they're kind of two sides of the same coin aren't they why don't people talk more about privacy is it just part of the security discussion or is it is it becoming more important i think it is becoming more important and i think it's still now just being addressed i mean the ability to use the data to understand what is happening so from you know do you really want you know a utility to understand your usage profile is there a benefit to that clearly there's a benefit and it's kind of a byproduct of the technology but if you were to provide that data to a police agency a standard size house in a neighborhood that's using four times as much power as every other house of similar size in an area could they be doing something like growing something illegal in there you know there's all kinds of uses of that data and so it brings up all kinds of interesting questions on privacy and you're right i think we've just scratched the surface on that so this notion of a smart grid is interesting i mean it's getting a lot of play um there's some uncertainties right no question um and and um but in the big grand scheme of things there's a lot of waste there's a lot of waste electricity that goes off the grid right i mean that is sort of the the big the big gestalt problem that you're attacking i presume is that right well the issue really is the cost of producing electricity today that you really still can't efficiently store large amounts of electricity it has to be generated as it's needed and so what happens is there's base load generation with the big plants and then they have what they call peaking plants uh that provide i guess a leveling out of the peaks um peaking plants cost tremendously a lot more to operate than the base load plants and that's why you see tiered electricity prices as the costs go up uh the ability to shift load you know i mean we've had these load shifting programs for quite some time where you know turn off the pool pumps turn off you know electricity or cycle them for air conditioning those kinds of things the big benefit to a consumer is being able to shift your use to a lower cost of use time interval and so smart grid gives the utilities the ability to do time of use pricing so you can decide that i would rather run my pool pump at night today there's no benefit financially for doing that so you don't but if if you actually got your electricity costs in half for that you would do that same thing for um electric vehicles as they come on the grid electric vehicles that are being charged in how do you incentivize customers not to plug them in as soon as they come home which is the peak of the day around five o'clock or six o'clock what's going to happen to the transformer when everybody plugs in at the same time i mean it's not going to work is it exactly right and so the only way to actually prevent that is to incentivize the consumer to make smart choices and so there's in-home displays that show time of use based pricing allow you to program in advance using your computer using the web to basically say if pricing reaches this level turn off these devices in my house it may gives you a tremendous amount of flexibility but the benefit is that is that you're operating as a utility you're peaking plants less often okay and that's there's a lot of software intelligence in there that enables that and then there's some infrastructure underneath it that allows you to respond quickly very much so and this i mean we've been at wikibon we've been writing about this a lot um we've been covering this the whole notion of this logical block of infrastructure and in terms of being able to support those new and emerging applications is it is it in your opinion you know a dramatically different shift or is it more just sort of technology sort of bolted together um help us understand that i think it is a dramatically different shift i mean for a utility that's used to operating with a single monthly meter read cycle usually with someone walking by or even a truck roll where they're going down and actually using amr devices the amount of data you know this conference is all about big data the amount of data is increasing hundredfold the amount that a utility is going to have to deal with utilities are very conservative organizations and this is an explosion of data and an explosion in their it department that frankly uh you know they're they're still trying to figure out how to deal with so i i think it's a paradigm shift for us as an it outsourcer it's just more of the same it's applying the best practices that we've used for years with erp systems uh to a new mission critical system because we are touching a utility's most critical business process which is meter to cash so talk about data um your customers obviously own their own data that's got to be pretty clear um in your relationship with them um are they or are you partnering thinking about somehow gaining or uh extracting greater value out of that data out of that database of information that's there is that we're too far off or i mean clearly we're not there to harvest it uh and to make use of it uh we're talking about ways of helping them harvest it right um you know again these joint action agencies like in north carolina for example electricities um there they will be able to use the aggregated data to make you know buying decisions from their large i o u service providers that provide the electricity for them most of the municipalities don't have their own generation so they buy it from a local big i o u um and so they're they're definitely trying to figure out how to minimize their their peaking costs and those kinds of things so there is a benefit of aggregating the data for the benefit of making joint aggregate decisions for these agencies will you do that aggregation for them we do we'll have a data warehouse that allows them to do data analytics um and to make good decisions based on the data not not just at the individual municipal utility level but also at the joint action agency but there's no be no sharing between joint action agencies if you will right which tend to be state-oriented so was that i mean can you charge for that it's part of the basic service so the way we're pricing it is a per meter per month basis um with additional for each new service beyond the basic if you will the basic includes meter data management uh the head ends software as well as an option to actually uh amortize the cost of buying and installing the meters themselves excellent well s a i c innovating um into the smart grid uh eric is great to have you on the cube appreciate you coming on and sharing your perspectives about about vblock infrastructure software as a service the the the electrical grid some of the challenges that customers are facing some of the data opportunities that are out there eric thanks for coming on the cube thank you for having me thank you thank you for coming on appreciate thank you john okay we're here at emc world and we're in las vegas uh s a i c dave is uh known for invent


Now, you say, what else you got out there? Well, again, we got to buy ships smartly. Today I am using amphibious ships, big deck amphibious ships that are designed to do forcible entry. And I'm using them to do things. We are using them to do things like chase down pirates, do counterterrorism, and humanitarian assistance, disaster relief, maybe do non-combatant evacuation. And you say, well, isn't there a better ship for that? New amphibious ship, big deck costs you about $2.5 billion. For about $600 million, you can take what is effectively an Alaska oil tanker, take that centerpiece, and make it able to ballast up or down. And you can sort of see these things down at the water line. So this thing, that centerpiece, can ballast up. And what you see here is a landing aircraft cushion ready to land on this thing and offload those yellow things or trucks. So imagine MRAP is kind of a thing. So you can offload that. You can put a fleet hospital on this thing. You can put trucks on this thing. You get my, your imagination can kind of, I don't want to say run well, but it can run. That centerpiece, the red area, is about the same size as a big deck amphib, flight deck.


Life is good all this month at Appalachian Wireless. Get the LG G5 for just one penny with sign up or renewal of a two year service agreement. That's almost $100 off the regular price. Better service, bigger savings. That's today's Appalachian Wireless. Last night at Bob Amos Park, Johnson County and Pikeville took the field in the Cal Ripken 12 and under tournament to battle it out to see who would be named champions. Johnson County had previously played Pikeville earlier in the tournament with Pikeville winning the match up first. They were favorites. Last night, Pikeville's Grant Scott on the mound trying to close out the third inning. He fires a pitch home and freezes the batter for a strikeout. That keeps the score at three to four with Johnson County leading. The offense though was huge for Pikeville last night. Jake Varney drives a single to left field bringing Grant Scott to the plate. Scott shows that he can not only pitch but he can contribute on the offensive side of things getting a hit down the right field line. Pikeville wins the game by a score of 11-8 and are crowned champions of the Cal Ripken tournament. Pikeville advances to the state tournament in Lexington where they will take on teams from around the state.


My name is Evan Daski. I'm a data scientist and program officer at the Rockefeller Foundation, so in that role I do a little bit of data science So I work in service of our teams our grantees folks who wouldn't otherwise be able to afford data science services We help them out with that and then I also fund tools infrastructure Help people start products to make sure the machine learning tools are accessible to people who are working on Development and humanitarian problems mostly across this work One of the biggest problems that we face is building label dating sets for machine learning So today I'm going to talk a little bit about that We kind of took a step back and did some research this past couple months I'm going to share that research with you just to kind of get everyone on the same level Do a one-minute introduction to supervise machine learning for those who haven't Sort of encountered this field before the basic idea is that we're going to show an algorithm or computer a Set of objects, let's say they're pictures and we're going to show that a set of labels Let's say what's in that picture typically maybe be a bounding box round where actually the cat is in that picture Where the dog is we show it a lot of those so you can pick up on features You can pick up on the general patterns and then we show it something out in the real world It might be a slightly different cat a winking cat or a dog with a different color Etc. And then the algorithm is going to make a guess and say I actually think that looks a lot like what I've learned to be a cat or a dog There's only one subfield of machine learning, but it tends to be where we spend a lot of our time, right? This is where when we're saying we want to automate diagnosis from medical imagery This is a big part of what we're doing when when I fund a team that wants to Detect crop yields from space in Africa across whole continents. That's what they're doing They're doing a lot of supervised machine learning The problem is is that in the environments where we work the data sets that do exist are incredibly biased Incredibly low representation if you take image net or it's sort of somewhat successor open images Probably the two biggest machine learning imagery data sets 60% of those images are coming from just six countries in North America and Northern Europe, right? So that means when you show a classifier is this a wedding and it's a wedding safe from Pakistan The classroom won't know that that's a wedding That's sort of trivial in that case, but you can imagine that transported into the medical field, right? Identifying cancer identifying symptoms of a heart disease or heart failure things like that and it becomes catastrophic It becomes tools that we can't even begin to use similarly In many places where we're getting transactional data say even like open data from our cities That encodes a lot of bias a lot of racial bias. There's a great study. I'll be linked in my Work here, but from Rashida Robinson basically looking at police departments that were under consent degrees So they were literally being investigated for racist policing and then using that data Directly to build classifiers about where they should police in the future So even if those police departments fix their policies fix their work They weren't fixing the algorithms are built on those data and these patterns repeat over and over again in the places where we work So he said let's take a step back. Let's talk to some of the people who are building these data sets Let's talk to some of these people who are building them in industry. Let's talk to academic researchers let's talk to critical thinkers we're thinking about this and You know ask them a set of semi-structured questions and work through it and say how do you build these data sets? What motivates you? What are the technical challenges you're running into? What data sets have you seen them been really effective? What data sets have disappeared quickly about 20 folks? I'm not going to attribute anything to anybody because a lot of folks actually are working on new stuff potentially IP related stuff and then I Will also note that mostly interviewees are focused on text applications or imagery applications So we don't have anyone in here who is say looking at audio or things like that And those are unique domains don't want to discount them, but most these folks are working on text or images Here's some of those lovely folks these people are doing really awesome stuff So for example Desmond Patton he is building a classifier that looks at Instagram posts and tags whether there is actual sort of a true threat and Not for police departments, but for harm reduction folks who are working on this stuff in Chicago This is a really the idea of you know giving communities access to algorithmic decision-making so they can help and preserve their Sort of communities is an amazing thing Mutamba or sorry, Mutambasa Daniel is working on building classifiers for such a wheat rust in cassava and That means going out working with farmers collecting imagery from them building incentive structures to get them to send imagery Making sure they aren't cheating on those imagery, etc. And so these are just amazing folks be happy to look up any of their research It's really great stuff Today I'm going to share essentially five lessons from this work and these are lessons that are more general So in addition to each of these overarching lessons We have a fair amount of research that goes into like each domain I'm looking more specific, but I want to take a step back and say across all of these initiatives What are the five things that we're kind of learning or seeing in general patterns? The first one is that motivation shaped data sets more so than any other thing when we dug into it and we're asking people Wait, why are you doing this? People are completely cross-purposes. There's a set of motivations I'll describe as commercial and those are essentially people who want to build the new product There people are saying well, I've got an idea I probably pitched it to someone somewhere and I need enough data to just build that minimum viable product That's gonna get me the fundraising to go do the thing. That's one set of folks There's another set of folks who are saying you know what I need this data set as my moat access to these data to these records These labels records is what I need to make sure that no one's ever gonna be able to come from my market And there's a bunch of other folks who are working in commercial settings who know they have a problem with their algorithm so these would be folks who are working on algorithms that That don't work to detect hate that don't work to detect bias in hiring and they know They have a critical problem and they're working commercially to try to fix it before someone calls them on it The second set of motivations are what I'll call methodological folks and these are folks who frankly Care less about the substance of the data what they care about is that the data set will be a benchmark The data set will allow them to sort of compete with others to prove out a new method to publish Or to simply pursue curiosity. This is where a lot of computer scientists find themselves Of course, there are many computer scientists with many motivations But generally these are the folks who are approaching it with a little abstraction and then finally And this is the sort of place where I find myself as a data set funder is the applied folks and what we're thinking about is There's no one in Africa who's building a classifier that allows community health workers to determine if a certain disease exists in Geography acts right I need to solve that problem Across these motivations, none of them are you know distinctly bad or distinctly good I would say there's some that lead to bad outcomes or good outcomes But you tend to when you have a project see different people across the project with different motivations and that leads to I Would say that the the process of managing these motivations is what putting together a multi skilled team looks like So you will have to have some computer scientists who are interested sort of in the pure problem. They're working on This is often the problem why it's hard for us to track some computer scientists to work on some problems that for us in the Applied setting are super interesting because there's nothing new to be done there, right? Like it's totally a discovered field and it's an application problem And so for them to go through the process of working with you on specking out a data set or doing anything like that is That's like a lost quarter for them and then similarly the commercial folks They're happy to talk with you about building maybe this data set But the moment they find out that you're gonna have to license this in a certain way that say we would make them License it open sort of like that. They're gonna walk right away, and they also have a Potentially a lower bar for quality So they might be able to just get it to a certain point where they could pitch it or build it But it's not gonna be sufficient for either scientific or for us to kind of release it The second area that we found a lot is Transactional labels are really worse than you think so when you're getting labels out of electronic health record system You're getting labels out of a power billing system These labels are bad because they were built to do one specific test that was not trained a classifier to Classify something down the road They were built so that a medical billing office could efficiently send out bills to people, right? They weren't built so that you could determine within 20 minutes of someone hitting an ER whether they're going to have a higher or lower risk for for heart failure and That is always the case with transactional labels and transactional labels Well, I'd say more so than any other type of labeling Carries the sort of systemic biases of a system with it and it can be harder to see and get out And so if you're going to use these transactional labels, which of course people do of course, there's value The basic recommendation is you have to embed with that team for six months to a year, right? And you have to really understand why these decisions are being made What different labels mean what are these sort of embedded incentives behind them and and then you can you know Consider to see if it's useful and we funded teams that in the power setting actually someone who worked with a Large power company in Africa for two years and knew exactly where all those data sets are broken He's able to build a reliable demand prediction algorithm But only because he has that sort of depth of knowledge not just because he has access to the data Third thing is there's essentially a labeling spectrum that we see emerging, right? So on one end it's stuff that anyone can label that's finding a school bus in this image That's stuff like highlight all the universities in this document Simple stuff you can parse that out to crowd workers the issues They are simply making sure that you're using what one of you're treating people fairly You're paying them what their time is worth and to that you're giving them enough guidelines Enough rules and sending yourself sort of a gold standard data set to compare their performance against that stuff That's that teams are getting really good at that's that's totally possible But it only addresses a very small set of the problems where we want to build data sets on the other end We have the experts only category. This is stuff medical imagery. This is stuff in a lot Of like the hard sciences. So this is stuff where to even become an anodator is at the end of a long process potentially a PhD potentially sort of a medical degree There's actually less in those two. There's less interesting stuff in either those two fields And you think a lot of the most interesting stuff is in this sort of messy middle So these are things where yeah, you could probably get some undergrads to do that, right? You could probably contract with some people in mechanical history to do that And there's this there's this weird sort of messy middle and and here is stuff like So we use the the example of imagery of plants and diseases and plants that's stuff that farmers in Africa working in agricultural settings But without any formal education can be trained to tag and identify it can also be trained to tag and identify Pests the problem is it's in this messy middle. It's not automatic. Not everyone can do it not everyone wants to spend the time doing it and and it's not a It's not necessarily a good value for folks who are in that expert end So the kind of the three rules we're thinking about there are one first incentives and here actually monetary incentives while sort of necessary for a lot of this work are really not sufficient for improved performance Going back to that sort of labeling wheat rust example What that team found is that simply by giving immediate feedback on whether the algorithm at a basic level thought there was or Wasn't the the sort of disease present? Increased farmer compliance with giving more samples, right? So if you're getting value in that moment, you're shortening that feed back loop even if you caveat and you say, you know We're not totally sure you should also call your farm extension worker have them come check it out, etc If you can shorten that up for people That's what gets people coming back submitting more samples submitting higher quality samples Coming to your meetings coming to your trainings getting better at tagging things. The second is new tools So this is where Simply building tooling that makes problems easier for people Creating workflows for people of doing a lot of pre-processing. So images actually look more distinct And it's not as hard to trace boundaries around things that can really increase the number of problems that people can tackle without much formal training and the final one is Think kind of rethink from scratch whether you can reclassify in a different way So instead of asking doctors who may disagree about the presence of sepsis or something like that in an emergency health setting Can you actually for this problem use 60-day readmission? Can you use you know within one year death? And can you train a classifier that gets you the type of answers you want in the moment? But with a totally different much easier kind of classification problem Fourth don't ignore shelf life. So and this one was actually somewhat surprising to me when I asked people You know, how long is your data set can be good for if you you cut off today? It's getting this the sort of f score across the board and you know in five years. We actually put in your data support and then scored again You know, how long is this going to be a viable data set for classification going on? And the answer generally is a lot shorter than I initially thought So there's differences across domains, but the two basically rules are one is is this data set operating in an adversarial environment? So does someone have a motivation to adjust their behavior in relation to being scored or classified in some way? If so, that's gonna be like almost a weekly basis You need to figure out a system or a way to get new labels into your system really quickly. The second is How stable are the biological social processes that go into it? So an emergency room is really unstable things change in an emergency room all the time Staff come and go people come and go etc in that setting You're almost on that similar cycle of like it has a very short shelf life You need to be funding data sets every sort of year every quarter every time a new sort of cohort of medical practitioners comes through And then finally in fifth the overarching theme here, right? Is we have to think about machine learning day sets as infrastructure not as research projects and this is something that I think a lot of practitioners will tell you and When pushed there's still there's some ambiguity about what they mean by infrastructure So it was unclear, you know Essentially what they were saying is like we need more money for longer periods of time to do more of the same thing We're doing which doesn't quite sort of You know I get why they're saying that but it doesn't quite give us anything new to work with And kind of pushing a little more what we got to this definition of of what makes a good data set as infrastructure One it's ubiquitous. It's not bespoke. So it's not for one sort of one sort of Use case or things one sort of geographic use case. It's across a whole bunch. It's for a community So thinking about image net like image net was for the computer vision community And that's why it's sort of there's a lot of uptake right because they knew their community They spoke to it. It's not for just one team within the computer vision community And then other signs are thinking about it as a separate budget not a budget line And so this is sort of a little bit me writing myself as a funder, right? but if I see someone with a research project come in and Curation is just one budget line Unless they have a lot of prior work and that's for maintenance That's not going to build an effective data set, right? We need to be thinking about separating out that budget and saying we really care about this domain and area Let's fund the data set ahead of time and then work with a set of researchers downstream to maintain and kind of keep That going forward and then finally major contributions There's one really attractive aspect about machine learning data sets is that we can actually see how much new data improves our performance And so creating economies are out that rewarding people Tracking usage and making sure that people are being compensated on those bases is is a huge part of what makes this infrastructure Not a research project So with that I'll close up. I would love to talk to anyone here who is building data sets who's thought about this Specifically anyone who's thought about like how do these data sets differ from open source software communities? How they differ from just simply the open data community because there isn't there's a lot of alignment But there's a little clarity about what lessons kind of crossover. So if anyone here, let's talk about that. I'd love to thank you


Even obvious for quite some time now that the Democrats are moving closer to socialism and even communism as the media, Hollywood and academia have been trying to make it more acceptable in America. You can go to any college campus in America right now and find acceptance for both socialism and communism and likely you can find students marching around with a hammer and sickle flag. My guess is that if you went to any college campus and marched around with an American flag you'd receive way more hatred than if you marched around with a hammer and sickle flag. The current leaders of the Democrat Party are far less socialists like AOC, Tlaib and Omar. Even Bernie Sanders who's open about his socialism was very very cozy with communists back in his early days. Most people might not remember but when Obama was president the magazine Newsweek put out a big issue with the cover declaring that we're all socialists now. Joy Behar from that pit of hell called the view has attacked conservatives for fearing socialism and has said that nobody really knows what socialism is. Say the word socialist is now becoming a buzzword like liberal and feminist where the right wing is now taking that word and distorting it. Serving to Democrats as socialists, obviously they don't know what the word means. There are countless examples of the media and the Democrats actively promoting socialism and communism and this latest example is just more proof. CNN host Alyssa Camarada was apparently playing her part as a Democrat Party strategist today when she suggested that Democrats need to rename or otherwise be deceptive about their support for socialism. That's what the president should be talking about. They're socialists. Do you think that Democrats are making a mistake tactically because you're a strategist of allowing themselves to be branded as socialists not coming up with some sort of new name? CNN working with the Democrat Party to deceive the public? Impossible. I don't have the rest of the video but hilariously the Democrat strategist responded by saying quote, Democrats should say they stand for inclusion and diversity.  But they are nasty and spiteful.  I am a nasty woman.  Democrats are all about inclusivity and diversity on a very superficial level. If you don't agree with them, you're pretty much a fascist. The desire of CNN and the media in general to cover for Democrat socialist dreams has been going on for a while now. The media research council recently did a study on media reporting during the collapse of Venezuela and they found that the media neglected to mention the word socialism and 93% of their reporting. The word socialism or socialist was left out of 93% or 44 of 47 reports about Venezuela. That included stories on ABC, CBS and NBC Evening News reports on Venezuela between February 1st, 2018 and February 21st, 2019. All three of the stories that acknowledged socialism aired on NBC Nightly News. I used to have a boss that was from Soviet Russia and he used to always tell me that when he first came to America, he voted for Democrats but that over time he had left the Democrat Party because more and more they looked like exactly what he fled. When people who have lived through it tell me that they see signs of it here in America, I believe them. Especially when you have examples like the media fawning over Fidel Castro after he passed away. Back when he died, the media erupted in this fawning remembrance of who was a brutal dictator. For example, the New York Times actually compared him to James Dean or Frank Sinatra and said of him that he was quote, a man so large and a box so small. NBC News gushed over his death describing in his quote, tears of sorrows and cries of patriotism. ABC News called him the George Washington of Cuba. Well, Fidel Castro was considered even to this day, the George Washington of his country among those who remain in Cuba. MSNBC reported quote, a declared socialist, he dramatically improved healthcare and literacy. He never tolerated free elections or dissent but he gave his people better healthcare and education. That's good to know that Democrats are all for a crushing dictatorship as long as we have quote, better healthcare and free education. Just what would education look like in a brutal communist dictatorship? CBS News hilariously defended Castro by saying quote, it's a long and complex career. There is the analysis that will say look, this guy took power, shut down free speech, put people in prison, had human rights legacy that was quite challenging and difficult for many people who were on the other side of it. On the other hand, he rewrote the social contract in Cuba and a small island nation in which he put healthcare, education, culture and the capacity for Cuba to have an independent foreign policy front and center as part of his legacy. Look, there's no doubt in my mind that the media is going to continue pushing further and further left. They're part of a cabal that includes the Democrat Party, whose goal is to push this country further into socialism and eventually full blown communism. Perhaps that's why they're so supportive of open borders. As South Americans flood in by the millions, so will acceptance for far left socialist policies. That's all I have for you today, folks. I want to give a shout out to someone who purchased on ribtea.com and wanted me to give a shout out for them, but I lost their notification on Twitter. I need you to send me a direct message. If you need underwear or t-shirts, make sure to buy them from the American made ribtea.com forward slash drone tech and make sure to use the coupon code drone tech to get 20% off most items. And as always, do not forget to hit that like button. I need you to hit the like button. Hit it right now. Thanks and I'll see you all next video.


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To get started for free, visit brilliant.org slash sagesrain or click the link in the description, and the first 200 of you will get 20% off Brilliant's annual premium subscription. We lie to each other. We brutalize each other.  And here's this, this man sticking his neck out for everyone. Way, way out. He flies. He can see through walls. He can lift up cars or bounce bullets off his chest, or do just about anything he wants to. And that's the part that gets me. He can do anything he wants to. And he decides to do what? Be a hero? Why? Superman in so many stories and iterations has this burning desire to belong. Sure, he's the most powerful person on the planet, but Clark is just like you and I. He gets anxious, scared. He doesn't want to be othered. An immigrant seeking to be welcomed and accepted amongst everyone else. His greatest enemy is a man who wants nothing more than to remind him that no matter what he does, no matter how many people he helps, he will always be an alien. An immigrant. He will never belong. Clark reminds the world and the people of Metropolis that he is just like them, that his mom made his costume for him. Superman doesn't want to be worshipped. He doesn't want to be seen as a god. He longs to just be a man who understands his responsibility. A man who just does the right thing. And who can inspire others. When Superman gets deified, like in Kingdom Come, he is given this exorbitant pressure. A pressure that not even Krypton's last son can carry. More than that, it goes against what Clark Kent believes at his core. The core values of this character. Clark Kent is a man who possesses tremendous empathy for humanity.  Deifying him strips him of that humanity that makes him so great. It takes away from the very essence of Clark Kent and of Superman. And that humanity is felt most notably in the stories that he is depowered, but especially in the stories that he isn't, he is able to empathize with humanity's struggle so well. And most of all, he is in awe and inspired by humanity. While of course he inspires them, it's not nearly stated enough how they inspire him. This is not a god. Clark Kent is a farm kid out in the biggest city in the world with a whole new identity. A journalist fighting corruption, trying to fight the richest man in the world. When faced with a man who despises him, when faced with humanity's ugliest sides, he still has tremendous faith in mankind. That is Superman. To me, Superman's strongest and most moving and touching stories are the stories that test his humanity rather than his power. And that's what makes him so compelling and captivating. We already know that Superman's power is damn near limitless, but it's not about depowering the man of steel. It's about making him feel the weight of being human. The weight that we feel every single day and the sometimes mundane issues that we face added onto the pressures of being Superman. Like when Clark overhears his father questioning whether or not their son is truly like them, or if he belongs amongst them, how does that make a man who desires so badly to fit in feel? How about when the journalist Persona forces Clark Kent to be a boring shell of himself, which then gets him left out of social outings? Does that feeling of loneliness, that desire for companionship suddenly disappear because he can leave buildings in a single bound? In Superman Confidential, the story forces Clark to manage his personal life. How does he manage saving the world and a relationship with Metropolis's golden reporter? What would you do? He asks.  Could you live with making that choice? How does Superman handle the world's issues and not neglect the one girl who wants to take her own life? Or how about the little girl who was kidnapped and still believed, at every moment of her kidnapping, that Superman was going to save her? No matter what. How does the man of steel choose? How does he come to terms with the fact that he cannot truly save everyone? That he also has to take care of his own desires and needs. How does he not blame himself for not being able to save everyone? What about the idea of failure? One of my favorite Superman moments was in For All Seasons by Jeff Loeb and Tim Sayle, and Sayle's Superman is comically large with a rather simple face, embodying this story's depiction of a very simple, massive man with a heart that is even larger, a big blue boy scout through and through. So when he fails to save someone, when someone dies in his arms, not only is he crushed, but for a while he feels like he can't be Superman, because he failed one time. How does he deal with death? He had to go back home. He had to rediscover who Clark Kent was. He had to learn that yes, he might be the strongest man on the planet, but that did not mean that he could do anything and save everyone, and that realization was soul crushing. But it was his parents, Lana, Pete, and Chief Parker who all lifted Clark back up and inspired him to be who he wanted to be. They inspired him to use his humanity to become a better Superman. Imposter syndrome on the largest scale imaginable, right? Is this not a relatable character? Do you and I not feel like we sometimes don't belong? Like we're not good enough? And in those moments, just like Clark, we turn to the people who care about us, for advice, for help, and for the resolve to keep us going. And what about when Superman loses Lois Lane? When she dies in his arms? How does he respond? In Kingdom Come, the iconic story is riddled with Superman's failures, from losing Lois and everyone at the Daily Planet, leaving the world to fend for itself for a decade, to trying to force superhumans into rehabilitation, and finally allowing mankind to kill so many people. What happens when you force a man to decide the fate of the world? How does he respond? The man of tomorrow fails, once again. Superman isn't perfect. After losing so many people, after failing so many times, he blamed himself and he got angry for it. And the individual who saved Superman, it wasn't a hero. They didn't have to beat the man of steel into submission. It was a priest who appealed to his humanity, to Clark Kent. He asked the man of steel to forgive himself, and to make things right going forward as Clark Kent. The reason Superman is even allowed to fail, to make the wrong decisions, is again because he is not a God, just a man. And it's the same reason that he is the ideal to aspire to, the Paragon of Hope. In secret identity, at a certain point, Clark is finally afforded a break from the cape. It allows him and forces him to be present, something I think we all struggle with. When he recognizes his mortality, it forces him to make more time for Lois, for Ma and Pa Kent. He learns to not take his relationships for granted, to value them. And again in Superman's secret identity, these relationships get threatened. What happens when Clark's identity is in danger, which then endangers his loved ones? What does he do when he doesn't feel safe? When he doesn't feel private anymore? How does he respond? A common idea in these stories is that, again, Superman fails a lot, and so many times when he fails, he has to go back home. He relies on other people to keep him going, to keep him motivated, just like we do. And in that, it reinforces Superman's origins, right? It's good people that inspire Clark to become the man of steel. It's his parents who taught him and instilled him with that sense of empathy and humanity that makes him the man that he is.  Lana, Lois, Jimmy, they all constantly encourage Clark to be who he wants to be no matter how hard it gets. All of these people, and the Kent's in particular, they make Superman. To me, the appeal of this character lies in his humanity, in his emotions, the things that he can't punch through, the tears, the worries, the fears, the failure, the psychology of the strongest man in the world who tries to choose good every single time, even if he fails. All around the world, immigrant numbers are skyrocketing. In 2021 alone, they recorded 45 million foreign-born residents in the United States, 400,000 in Canada, children, teenagers, adults, so many people who might feel like they just don't fit in. So many good, genuine people who get slighted every day for being different. So many people who are searching for that sense of belonging. Sounds a lot like Clark Kent from Smallville, or that alien from Krypton. Superman is a relatable, compelling character, in the right hands. These stories are proof that there can be a portrayal that stays not only true to his character, but stays true while being compelling. I'm not going to tell you that you are wrong if you believe that Superman is born. It's all subjective anyways, but you should give the man of steel a chance. Let yourself be consumed by the absolute goodness that is this character. Let yourself be inspired by it. When we live in a time where dark, cynical edginess has taken center stage, Superman's stories don't need to be made relevant. They don't need to be altered to fit today's world. I think a symbol of hope, kindness, and goodness is something that will forever be relevant.


What's going on, everybody? Dato Doi here with another Dragon Ball Fighters video, and this time it's a character guide focused around Krillin. Let's start by taking a look at Krillin's special moves and seeing how they can be applied in different ways. Up first, we have the classic afterimage strike. The main gimmick behind this move is that if you just press the button quickly, Krillin will take the place of the afterimage and perform a kick. But if you hold the button, Krillin will stay in the position, and the version of him that's performing the kick will disappear. The light version doesn't go as far, the medium version covers a lot of distance, and the heavy version comes with the advantage of when on the ground, Krillin will dash forward making the mix-up a bit scarier. This move can actually be applied a lot of different ways. Of course, there's the whole mix-up aspect of whether Krillin's going high or whether he's just going to run in and perform a low, but you can also use the afterimage technique in the air to keep your opponent guessing on what moves you're going to take and how close you're going to end up next to them. Up next, we have Krillin's Kamehameha. Of course, if being a beam, it's very good at keeping your opponent at bay, and Krillin's Kamehameha is especially good for this as he can hold it for a long duration of time or he can release it quickly. He can also jump with it or double jump. He can also perform the Kamehameha in the air and then hold it until he gets to the ground. Overall, it's very useful at keeping your opponent at bay and making them on a block. The next special move Krillin has is the Solar Flare which is probably his least useful, but it does have a big hitbox and you can cancel it instantly into specials. Solar Flare is also used a lot in some crazy sparking glass combos, so when you're getting really optimal with Krillin, it'll probably come more into play. His last special move is his Rock Toss, which surprisingly is actually pretty decent when you get a hard knockdown on your opponent. You can throw the Rock to prevent them from doing any risky attacks on their wakeup. Moving on to his super moves, we have Krillin's level 1, the Destructo Disk. Not only does a single Destructo Disk do a lot of damage, you can also opt to spend more bars by clicking the light attack over and over again to have Krillin throw more Destructo Disk, limiting itself at a maximum of 5.  Something to keep in mind with his level 3 is that Krillin's going to bend that beam regardless if it hits the opponent or if the opponent blocks it. And if your opponent does block it, they will have enough time to punish you with whatever move they choose to. So remember to play it safe with his level 3. Now let's talk about Krillin's Key Blast move. When on the ground and you click special, Krillin will fire two Key Blasts. If you click special again, Krillin will bend the beams up, bringing them back down a set distance away.  It's possible to hit your opponent with the first Key Blast and then bend the second one up, which can lead to some pretty crazy combos, but I'm not going to lie to you and say I'm a talented enough player to do that, so here's a very poor combo showing off the general idea of that. Before we go any farther, let's talk about Krillin's weaknesses. And for the most part, what he suffers from the most is his short, stubby arms. You'll see that you have to be extremely close to get Krillin's moves to hit, and when you go up against a character like Android 16, you'll really feel this size difference. This can be seen in Krillin's down heavier 2H. He needs to be extremely close to the enemy character if he's going to land this, as the hitbox is just his tiny little fist, as opposed to Goku who gets his whole body and he takes a step forward, and let's not even mention Goku Black. But yes, it's very important to keep in mind that Krillin has very short arms and you're going to need to adjust to that in your offense. Before we get to the block strings and combos, I want to take a minute to talk about Krillin and how he's able to get a hard knockdown for the cost of one bar. So you'll see here in this example when I fire the beam and vanish behind him, I do the magic series, but I'm not able to get the hard knockdown as I already used my vanish to do that. But you'll see that in this next combo, when I use my Key Blast and then follow it with a heavy after-image strike, I do get the hard knockdown on Frieza, which basically means that I get to continue my pressure, which is something that's super important to win in games. So it's important to remember that if you really need a hard knockdown, you can always just fire that Key Blast and go into the heavy after-image strike. Now we can move on to the block strings. Basically, these are what you do when you notice that your jabs have been blocked and you want to keep yourself safe. So for Krillin, the very basic one is Light, Light, Down, Medium, Medium, Key Blast, Kamehameha. You can also add your heavy attack into that, and once you do this to your opponent a couple times and get them in the swing of things, you can start mixing things up with your assist and after-image strike, even throwing in a down special here and there. Now let's move on to Krillin's combos. So for his basic one, you have your standard magic series. This does get the hard knockdown and has some decent corner carry, so if you land a hit in the middle of the arena, this is usually what you want to do. Once you have your opponent in the corner, though, when you land a hit, you can do something much more damaging that looks like this. Of course, in order to do the second part, you need an assist, but it doesn't have to be a beam assist. I show that here with Yamcha. Of course, this combo doesn't get you the hard knockdown, but you can easily fix that with what I was talking about earlier. You'll see here that after I get the second knockout, I pull a couple punches and then do the Key Blast and the heavy attack, which allows me to get the hard knockdown, which you can follow up with a special or you can just continue pressure. Just make sure that when you're doing the after-image strike, you don't hold it unless you're more interested in looking like the world's best magician, instead of winning the match. I wanted to leave this guide nice and short for you all so that you can have something nice and easy to go out and start playing Krillin. I know there's still a lot left to find with this character, and hopefully you guys can get out there in the training mode and find it. I'll put these combos again at the end of the video and put the notation there as well if you want to try to follow along. Anyway, if you want to see a guide from me about another character, go ahead and leave that in the comment section below, as I'll be down there as always. While you're down there, if you like this video and channel, make sure to hit the like button and subscribe. I really do appreciate it. I'm Dr. Duia, and I'll see you in the next one.


Obviously this week it's been another hot week and it continues on so we'll see the end of the week being hot and bring fire dangers across the state that will be in some cases extreme and severe on the forecast we've already seen. So sat day this week will be I think the interesting day of particular note. It's very warm obviously coming in at Wednesday, Thursday, Friday but sat day will be a day that is the more traditional fire weather and when I say traditional fire weather it's the day that will be hot, it'll be northerly winds, it'll be strong winds but the critical factor it'll have a southwesterly change which you'll see the wind change move through the state in one day whereas the last couple of weeks it's been moving through over two days you know it's been moving overnight and into the next morning whereas sat day we as a critical more traditional fire day and as we know in Victoria we lose more property we have a bigger impact after the change than before the change. So for those that don't understand the weather it is something to focus on understand the wind change and I think that's something that we'd all do very well to be prepared for. The other one that's important is probably a little bit of fatigue everyone's been ready for fires you know it's gone every week for the last six or seven weeks in some case people say well I've heard the story and we say it again stay focused it's really important in February that people all in Victoria do stay focused about fire and we've said it before but it's almost drought like conditions in particularly central Victoria and western Victoria where it's so dry and the heat is zapped any moisture out of any grass or bushland that we need to be really conscious of that. So again without boring people about the message it is about your preparedness it's about you making good decisions it's about you getting the information to make the decisions it's about thinking through what the scenario is in your area and make sure that you're able to empower yourself to make the best decision don't let yourself down do that for your safety.


Going on everyone Sam here with late in sports guardsman two boxes of 23 Beaumont Draft baseball sapphire edition and one at 23 prism football for Jeffrey H. Good luck here Jeffrey 23 Beaumont Draft sapphire Here we go. Start with that Let's have Shawn back for him I don't think so Anderson Matt Shaw Yellow Brady Smith to 75 the doors So I'll stay in Jacob Wilson Yeah, these are nice. I like this stuff Marcus Brown Orange Adrian Santana for the raise to 25 Wells Christian Napsick So unbranded I can imagine Brock Vraidenberg to 199 first auto for the Marlins. Congrats Jeffrey. Not too shabby Montgomery J. Spirofen yellow Eric Patonsi to 75 for the brew crew gravy and based Gold Connor Burns to 50 nice one there on the gold sapphire first Slava cool and Jake Cunningham. Yellow Saban Sabios first to 75 Let's better end the queen. Yeah, I Pete to 199. Nice one there on the first sapphire auto. Congrats, Jeffrey Aaron Creavy Orange C. J. Cephas the 25 for the Guardians This one there J. Bashir's and Cole Young Gotta watch that movie Marvin Jones to 175 Jay and Bryce young what is it? No, I'm not Justin Fields to 49. No, it's a good one. Jayden Reed and Kenny Macintosh rookies Payton tuned silver rookie to at 75 Laramie Tunsel Achane and the Marvion over shown That is Zach Charbonate to 149 on the auto. Congrats there Jeffrey Donald and Luke Musgraff RPC go stick the sports car Come on man 2 30 in the morning To 149 von Miller. I'll be some slack RPC Silver Josh Palmer Nice blue wave puka to 199 good stuff there Jeffrey Tey banks and Dante beyond wicks Chad with some Silver auto Beckham orange Justin shorter. Nice one there Should be a taller Forest camo Jayden Reed to 15 That we're on the same page. Here you are PC. Zay flowers. Appreciate it, man It's all jokes. Oh, yeah Silver lock down chase young blue wave James to 199 DTR and Israel having a condom You can tell me I suck at singing, you know Redemption is Kendra Miller rookie patch autograph prism silver to 99 Congrats on that one. The Harrison cam Smith a Jalen Hertz to 99 To 275 is uh, no 225 Kaloshek here van Ness collager can see And last pot for you Jeffrey. Good luck, buddy an orange Daniel Jones to 249 Chase Brown and Kendra Miller that'll do it for your break there, buddy. Thanks again for the sport. Get him right out to my friend