Okay, so we are about to start our first deep dive, which is actually called advancing equality in the global south Before we start so I thought I will introduce you to activity number two So basically the next envelope in your wonder bag And then I have an addition to make Everything that is not in an envelope in your wonder bag You can play with it and you can eat it at any point in time So if you have pipe cleaners, you're allowed to make hearts and shapes and robots And with the little things I forgot what they are called. You can use them as decoration Okay, so for the deep dive the activity looks as follows. It's a yellow envelope and If you open the yellow envelope, it will look like this and The goal is that during the deep dive You help us come up with questions for the breakout groups that are tomorrow So tomorrow there are two breakout sessions with each five groups. I hope you all signed up for one each Because that will help us determine which groups we will put in which room But as you can see on this thing that I'm holding here in front of me They're gonna be ten breakout sessions total the topics are here at the top Yeah, you can also read more in the program, but basically here are the ten Breakout sessions and you can ask or basically write down questions that you think might spark a conversation In those breakouts particularly those if you are torn between one and two breakouts And not sure which one to go at least put your question there So then overnight, we're gonna reassemble all these post-its and give to each moderator of a breakout session All the questions you wrote down So far so good.  Okay, so with this I'm delighted to introduce yet another very dear friend and colleague Okay, better so team my room, please welcome me on stage team my Runs the Center for Communication Governance at National Law University in Delhi And she is also on the executive committee of the network of centers. Welcome to my thank you Thank you Sandra. I Would like to welcome on stage The four fire starters for for this deep dive session That would be Rahima Rahima Baguma from Macquarie University another dear friend and inaugural member of the global network of centers you heard him a little earlier today That's K. S. Park who's a professor at Korea University Law School I'd also like to invite Jenny Bernstein from UNICEF to join us and Kathleen who has been kind enough to take Nina's place at short notice But she's truly exceptional and I'm looking forward to hearing from her as I'm sure are you So sorry just to introduce you a little bit to the deep dive sessions All that we are going to do over here is We're going to offer provocations And then the idea is really that we make it conversational You're invited not just to ask questions or to engage on comments that Engage with what you hear heard here. This is a little different from the sessions that we've had in the morning You know, please feel free to make statements to to offer your perspectives because the deep dive is really It's about all of you talking as well So I'm going to so we're going to begin with Kathleen who is a data scientist from Africa's talking And then we're going to move on move on through the session But if anyone has anything pressing to say I'm looking around this is conversational and it's your space So we can always stop have a conversation and then move on to the next fire starter Kathleen if I can invite you to thank you So as she has mentioned my name is Kathleen and besides being a data scientist at Africa's talking I run I co-organize a community for women in machine learning and data science so the Nairobi chapter of women in machine learning and data science and So I'm passionate about helping in about the democratization of machine learning and just helping individuals who would like to grow their personal skill in in the field by Informing their learning journeys connecting them with peers who they can collaborate with and finally connecting them with opportunities and Something that has come up out of my experience is running this community is the fact that Despite being a community for women. We still have our attendance being more men than women So if you're a guy and you want to attend we wouldn't lock you out But it's so I got curious because it is women in machine learning and data science But then repeatedly we would have men coming over and over again But then women would come once and then sort of not come again So I got curious about where the women are and so that conversation is what is going to inform my contribution today Just the search for where women are in the bigger conversation of inclusion So with my experience With finding out where the women are I think it starts with first of all social and cultural beliefs I can speak for Kenya in particular where I remember in primary school repeatedly being told So I went to a girls primary school just only girls and I remember we were repeatedly told that because we are girls We are stronger in Languages so we should put a focus on that and then that would make up for our grades in our sciences and then fast forward to high school Where there's a national examination at the end of the four years of high school and some subjects are optional While others are compulsory so this arises in a situation where schools can also choose what subjects to offer their students So I found you find that because girls are said to perform better in certain subjects versus others for the schools great to be kept For the schools average to be kept high They'll offer some subjects and as opposed to others for example physics And so you have girls going through high schools that don't offer physics And then at the end of the day when it comes to choosing their courses at the university level They cannot enroll into any engineering courses because physics is our prerequisite to this Yeah, and then fast forward to now being at uni I studied mathematics and computer science for my undergraduate and out of a class of 55 We were four girls and this is the point at which I found this is the point at which people starts starts to ask themselves Where are the women? Why are we not enrolling more in engineering courses? And you know we left us back in primary school when we were telling us that we perform better in languages so concentrate on that But now besides that zooming out to the greater global south From working with the community It's I find that it's not a lack of even people having innovative and creative ideas because I see a lot of AI innovations which are pet projects at the end of the day because we have individuals who have day jobs and this Data science is just something that they do on the side. So it brings me to question it occasionally brings me to question the facts that if Some of these individuals were in a different context would they have already gotten funding would their ideas now be a startup Would they be now building teams and then fleshing it out? and Just to add to that I was having a conversation earlier today with someone and we were talking about the accuracy of of Google Translate with local languages in Africa for example, Kiswahili, which is one of the national languages in Nairobi and We were saying how so some European languages, for example, will have more speakers Which have less speakers on some of the local languages in Africa have better performance with machine translation on Google Translate and at the end of the day So at the end of the day, I know one particular individual who has tried to do work in NLP with Swahili But at the end of the day, it's it's on the side. It's a pet project. He hasn't really gone far with it So I guess my contribution to this is that first of all inclusion needs to start much much earlier And then when it comes to it to the individuals who funnel down and then do become practitioners in machine learning and data science Funding would play a big role in just encouraging some of these innovations to grow further. Thank you Thank you Kathleen. I was telling her when I heard the version of this a little earlier on that That if funding etc existed earlier, I would probably want to be Kathleen when I grew up. It's uh, I Now want to invite so so that was that was a really interesting perspective because it takes it into account time the stage at which inclusion needs to start happening But also an intersectional perspective right because although this is a panel on the global south There's even within the global south there are communities of people that end up being left behind much faster I I want to move on From from Kathleen's narrative to KS who's worked on technology from From points of view that that intersect in interesting ways because he's not only a professor of law He also runs open that career and has been very actively engaged in in technology litigation So if I can invite you to chime in Thank you. I Have two good news Who want to who are concerned about exclusive? effect or exclusive risks of AI and Number one is that it is a us. It is a human beings That we are controlled the output of AI That's the first news the second news is that we have built-in Legal systems that rain in the Rain in the dominant or Monopoly seeking Aspect of AI I'm gonna explain each at a time the first one What people often forget is that AI is AI is a still a program designed to Assist what people want to do by automation Now let's think about Microsoft chatbot tail Many people will think that it shows the discriminatory discriminatory or exclusive risks of AI and many will think that it gives an advanced view of What AI may do when it when it is deployed for you know insurance underwriting or Recruitment or other platforms or other situations where human beings are evaluated but if you think about Ted but a chatbot a the problem there was that the instruction given to The the instruction given to pay was to low level And I will talk to the programmer but probably but probably the instruction given to chatbot a Is probably to become the most popular Twitter? now to become the most popular Twitter probably it just took the shortcut by imitating the sensational online behavior of racist or sexist Twitterers Now we can address this problem by giving a higher order instruction to Chatbot a for instance Become the most popular Twitter that does not discriminate against Vulnerable groups and you know define vulnerable groups or we can give much higher much higher order instruction like Become just all right Or give some Multi-faceted instructions that we've together other models are brandy than the number of our followers or the number of retweets What I mean is that if there are moral or ethical constraints that you want to build into AI's behavior you can just simply hard code those constraints into AI and We are not new to this. I mean as most three laws is one such attempt it comes from the authors hard thinking about what minimum moral norms that robots must follow and You know the laws probably the laws are simple because you know, he's not a philosopher He just wanted one. He's just wanted to write a novel we can build a More intricate set of norms that can be hard-coded into AI and The problem is that we don't know we human beings are we ourselves don't know what ethical norms that we all agree So In the end AI is not going to replace human thinking but it will enforce human thinking as long as human instructions are clear and non conflicting Look at moral machines the experiment that MIT is running in trying to decide What the what the self-driving car is going to do when it sees Pedestrians crossing the street It's they're not asking the machine to make the decision. They're crowdsourcing human decisions to Decide on what the best driving behavior of self-driving car is Was it last year that Mercedes was found as having made as having decided that They prioritize the safety of a driver over pedestrians Whenever you know stopping a car to avoid the pedestrian threatens the safety of the driver That decision was not made by machine. It was made by the officers of the Mercedes So you know, even if we use AI for insurance underwriting or loan underwriting or Police deployment or recruitment Yes, it will have risks of a deepening the discrimination inherited from the past But we can change that by hard-quoting We can change the result and we have faced those situations even before AI was developed to a level that is now So, you know strict strictly merit-based admissions or strictly merit-based the government contracting have resulted in Exclusive effects on African-American students or The contractors in the US so The US adopted a formative action To because they didn't like the result To to make the society More equal and we can just build those into AI So I don't think it's I don't think it is AI that is the problem I think it is the humans that have not agreed upon what the fair result is what the fair result we expect from algorithmic decision-making the second good news and is That we already have legal system that can obey the The development of or wayward development of AI And that is data protection law Now data protection law applies to the stage where the data is collected and In a deep learning or machine learning is made possible only by big data Is this true I Don't know I'm assuming that it is true. It is made possible only by big data and What is big data? Big data, you know three V's right velocity volume variety So the third V variety means that to do sufficient big data You have to collate you have to merge different databases and usually these databases were built for different purposes and under GDPR using or Right under GDPR using a previously built database for a different purpose that data subjects never agreed to is a violation of data protection law and merging two databases built for two different purposes is already violation of our data protection law and Especially when GDPR defines so dynamized data as personal data there is humongous illegal impediment to Doing any big data under GDPR and I don't think this is just a coincidence that data protection regulation sets up impediment to big data and therefore impediment to AI that That that feeds on The big data Because if you watch the movie those X Makina the protagonist the the guru Programming guru later reveals how he built AI Does anyone remember how he built AI? Well, he got the data from from the Internet right it is through collective intelligence it is through Data produced by made available by the people in general it is based on that data that AI was made possible and That means that People will continue to claim Some sort of a public interest obligations on the data controllers The greater the data processing activity The greater social good that they'll demand so those are the two I think Going forward the constraints that we will work with in developing AI and That will That will obey much of the concerns about exclusive effects of AI Thank you Thank you so much I want to pause over here because you've said a bunch of provocative things that at least I would have the urge to argue with if I was not being a good moderator does does anyone Want to chime in at this stage? I think that you've been offered quite a lot of food for thought just checking Okay, so then we'll continue with the next two fire starters and then come back to you if that's okay Okay, so Rahim You Had a lot of very interesting things to say about AI's potential for inclusion Specifically because I know that you are coordinator of the development informatics research group at the university and so if if you want to either respond to what you've heard or add to What both the previous speakers have said? Thank you so much. I should be my Respondents of the two key notes are talked a lot about a number of challenges of AI and inclusion Especially around the four dimensions of AI and inclusion Talked about by and staff They also talked about possible solutions So I'm going to share my thoughts about possible solutions for the challenges of AI and inclusion Particularly in in the context of in my context as an academic in a developing country I come from Makeda University, which is found in Uganda the first possible solution for the challenges of AI and inclusion is Ensuring diversity in the development teams of AI applications This is necessary in order to address the difference that are the diverse Differences in the culture in religion in gender in in ethnicity ATC I came across a case on the internet which talked about A case in South Korea where a vacuum robot ate hair of a woman who was sleeping on the ground and Apparently sleeping on the ground is a common practice in South Korea But the development of the vacuum robot didn't take into consideration The differences the perspectives of differences in culture The second possible solution to the challenges of AI and inclusion is that developing industry Standards industry-wide standards to evaluate AI applications around the fall Around the four dimensions of AI and inclusion mentioned by answer from these are develop Deceiver the identify and the bias Then the third possible solution to the challenges of AI and inclusion is integrating participatory design with some people called co-design in the training of AI expats This integration of participatory design will will expose the AI expats to the benefits of involving stakeholders in the development process of AI applications as well as Enabling them learn how they can effectively involve the different stakeholders in the development of AI applications then the last Possible solution is to to set up as well as support more Research and development initiatives that are based in the South in order to increase the amount of research coming out of developing countries as well as Applications developed from the South and by the Southerners. Thank you so much Thank You Rahima. That was very well within time Jenny, I know that you've been So Rahima has offered a lot of suggestions about ways in which we can move forward And I know that you have also been thinking about concrete ways in which we can deal with this With the inclusion problem if I recall it that so if you just want to introduce that to us certainly So, thank you so much. I think we've heard a lot about how important it is to do no harm and the different Principles and considerations to that end Something I wanted to continue on as far as the good news is beyond just doing no harm How can we leverage the transformative power of AI tools to do good? Both at an individual level by getting more people involved in democratizing it in that way, but also in bringing really the scaling ability of this technology to affect positive change About at the country level or even the international level. So to to that note Some ways that UNICEF has always thought about leveraging technology is To provide new ways of understanding where problems exist so that you can then tailor Programming and services to cater to those needs So real-time information is obviously critical For us to know, you know, how to provide services and who needs them And currently so many of the issues around education nutrition health Employment etc are that information available in more traditional ways from a census say comes about every five or ten years And even when it is available, you know, it's maybe no longer relevant. It might not be truly representative So some ways we're thinking about addressing that with AI tools include things like using satellite imagery and AI technology to to map where schools are in Liberia is our first use case context and Mapping out where a school is means that we can then understand Where there are gaps in education? Offerings where those schools may or may not have connectivity that's so essential to make sure that they're offering Quality education and that kids there have access to real information So that's one way we're doing it another thing We're looking at is using a partnership with telco in Iraq to see if there are patterns in people's mobile data So the way they text the way they use mobile financing the way they place calls that correspond with More demographic realities so that we can have census like information on where poverty is concentrated That can feed into The hands of people with the ability to you know to use that information for good and to to tailor interventions That correspond with real-time needs And there are other projects we're looking at that are pretty controversial So definitely thought-provoking for this audience anything from using image recognition systems that might be able to interpret Someone's image and and give feedback as to whether that person is suffering from malnutrition Really great potential for that to feed into positive nutrition programming, but also huge concerns around data and privacy and Other violations of ethical conduct so in thinking through all of these ways that we need to Do no harm. We also want to think about doing good While recognizing, you know that these are tools and that at some point they'll fail So asking the question of who they will fail for And how we can then redress that failure continues to be really important Thank you, Jenny I now want to invite you all to Engage either with these four people or to offer your own comments and thoughts in this vein You've we've heard a couple of very thought-provoking sessions in the morning and now you have these four input statements Which were very interesting to me. So I was just wondering Whether whether any of you has anything to add or questions As we wait for the first person to hold up his or her hand If if you were walking in late the activity for the session is the yellow envelope So maybe take it out and do that as well Please If you can introduce yourself and thank you Better not forget my question now We've spoken a lot about categorization And we've spoken about making the ethical norms explicit that are coded into data And I'm wondering if while this is an admirable goal, and I think this is the way forward I'm wondering what is not explicit yet that is preventing that from happening It's something that we want to do But if it's not happening why is it not happening and what are the steps that we need to make in order to get there? Because there's still a lot that Happens without the assumptions being made explicit. So question about assumptions and coding that into norms I think Profit-seeking motives of For instance insurance companies Will leave them no alternative But you know not to Right but not to adopt those Ethical constraints But I mean I'm not really an expert in this area, I hope I Wish there was a some industry expert in that area who Testified to how AI is actually used in policy underwriting or somebody from banks who can tell us whether AI is being truly used Dominantly or predominantly in loan underwriting I Think we need the more kind of first-hand Testimonies to Start calling them out on you know, why are you not doing this? I'm not 100% sure you know how many companies out there are actually Doing you know machine-based Underwriting yet You know you read about police deployment Algorithmic police deployment, but which a police department has actually begun doing it You know much of this Talk I think kind of Precise the actual Deployment or deployment of AI in these areas So if there is a in anyone in the audience with the information on that Oh, just to just to quickly sort of set on the record predictive policing have dictated Police locations and movements and resource allocation priorities In a number of American cities, so I think in the predictive policing case It is it is I your your point is well taken but actually in the predictive policing case It is already a system that is being deployed. Thanks. I'm ready I just want to add on to something that that you mentioned, which is how we need more regulation in the space and I've heard that quite a lot with all of the AI and ethics issues and really what I want to add to that is You know, I'm currently working on a research project where we use Industry but where I'm talking to industry experts to understand what challenges they're facing in Building more ethical technology, whether that's AI or using other kinds of emerging technology products and there seems to be a massive gap there even even teams that that really want to do good and and Want to build systems that that that's good for everybody. They are looking for guidelines. And so how do we? Sort of bridge this gap or have better conversations between Academia and industry because they're ready and they're really really seeking for more knowledge so how can we Have that conversation faster Hi, I'm the douchey from article 19. Thank you so much for your comments It's made me really think through some of the The work that I do And I just want to share two thoughts I had and maybe put it out to the audience to kind of better think through So the first was that when we talk about narratives around AI I wonder how the dominant narrative plays out across context and in this context specifically in the global south So to give you an example I've been doing a literature review of how AI is perceived in India And so I look at academic papers and op-eds and news articles and and the like and I find out of I think I found like four critical articles, but maybe 220 something articles about the potential of AI and you know There's so much that can be done and it's going to solve a lot of problems And I think this is because AI is seductive in in the sense that it offers efficiency across large populations And then when you couple that with the idea around Datification of people in the global south. I think there's an interesting Problem that arises there, which means To cons to contextualize for example the other system in India is as popular as it is because it offers people The opportunity to be identified to say that you exist to the state and you're visible to the state And so there's a race to be identified there but there's also people that are systematically hidden and conveniently forgotten within larger systems and so when you take those two Norms in context it becomes a bit worrying to think about fairness in AI in the Indian context And I I just wonder is it is it a technical solution or is it a social problem? And I think you could argue either way, but would be interested to hear what you think It's also super interesting that people feel the need to ascribe good and bad attributes right to Technology Sasha. I know that you had a question or a comment. Oh Okay Yeah, it was a comment about it actually follows on what you just said, which is the difficulty of sort of you know Binary reading of these technologies in their deployment as good or bad in the example that I wanted to Bring to the table and thinking about global south. It was a presentation that some people from Pollan tier technology did together with people from Human Rights Watch at MIT last year though pollan tier is a It's an intelligence firm that developed sophisticated algorithms for risk assessment in financial markets and then they developed stuff that they closely with the US military that they were using in active conflict zones, so you know risk systems for soldier deployment for targeting for nominating people for To be added to the lists for the targeted assassination program By via drone. So this is that Palantir technology is a company that was involved in that type of stuff And they came to MIT and did a presentation with people from Human Rights Watch and someone who was also involved with UN stuff They're talking about a new partnership. They were developing around refugee assessment and logistics management and distribution of aid and Right so my question my question I asked them there I was like so wait you're partnering with this company that's active in active military zones to literally nominate people to be murdered and you think that you can trust them when they say they're not going to use any of the data that you're Gathering in refugee camps many of which are filled with displaced people from US back to wars of Empire and petroleum Domination like and you think that they're just telling you oh we signed an agreement with you that we won't share this refugee camp data with With you know US intelligence and you believe that so So the question is you know to complicate the good bad binary. It's like you might Do partnerships with firms that are selling AI services to do you know UNICEF might sign a contract With somebody like Palantir, but I just think we have to be really really careful To Only look at the like the project level and we have to keep bringing back in sort of like history and the larger Geopolitical scale and when we analyze like how are these systems being deployed? How are they being connected with each other is the data being shared on the back end and to what end because something That might be good in the short term in project deployment in the refugee camp might also be training an algorithm that's You know, that's illegally nominating people for state-backed murder Yeah, thank you very much Last month on faith Alex again Last month there is a company called Mattel that pulled off a product was meant to launch next year Out of privacy concerns. It's Aristotle for those of you that edit the articles in the New York Times In the previous session somebody was saying this AI just keeps getting data So we keep giving it more it looks like this product what it did They decided to start getting a kid since when the kid was born and get everything the kid knows and learn along So that it has all the data now the child is learning to improve on the AI And then you can actually see the implications if it's your child and there's a camera following Recording everything the kid does and what the implications would be So is that the right way we want to make sure that since we want to be included everywhere that we ask for cameras and everything We do is recorded so that can be included in the AI Leading me on to the second question, which is I want to get the professor's Liko consideration Would it help if we obligated all AI to have some sort of Something analogous to a panic button Such that there are certain no go areas that the AI shall never go into For example, it has to have an override When on their issues that are none Disputations for example child protection Save lives, you know uphold human rights, you know gender parity certain things what would be the consequences if we Obligated or required by law that there are certain panic battle that no algorithm will go into those areas as a way of trying to include Equality not just in the global south, but worldwide. Thank you So my question is about how can we empower Talented engineers from the global south to develop AI applications that actually amplify cultural specific Values instead of just being kind of sucked into really big companies that develop platforms and just kind of adjust them to specific countries How can we really cultivate a good culture of engineers in the global south? That could create a robust AI environment that could really benefit the country that they come from Speaks to some of the things that Kathleen was saying. He might you wanted to respond How can we empower good engineers in the south to develop context-fitting AI? Applications, I think it's to do with Training them from the south itself But also supporting them to carry out research Within that context and to develop those applications from the same context Adding to that I'm just gonna say again funding because I meet a lot of people who are brilliant and they have brilliant ideas But at the end of the day, they have to keep the lights on so are you gonna build a brilliant idea that could rip off That could rip off big in like five years, or are you gonna pay your bills? So I think funding Also, I'd like to add to a comment that was made earlier about how to The narratives around AI in India That's actually interesting that you say that because it's something I thought is similar to Kenya because up until three or four months ago Conversations around AI along with ethics and regulation and inclusion are not something that I come across often And I think I attend quite a few AI and just data science meetups around Nairobi So it's interesting to see that we're still sort of in the excitement phase where we see all the possibilities that could come with it And we aren't at the point where we are seeing The dark side of things and I don't know if we have to wait for something horrible to happen before that happens But I wish we could introduce the two together so that as people are getting excited about AI They're also just cognizant of all the things the dark side of all that just could come with I think a training engineers is not as easy as training engineers in other areas because It does require a society-wide discussion of What is ethical? I mean Yes algorithm Results in some unintended consequences some unintended results that Shock people's ethical Thinking But much of those results are unintended Sometimes the strict strictly merit-based or strictly number-based Algorithm can result in Shocking results What do you do when you run algorithm and you get something bad? Is that bad or are we wrong? right There has to be some society. I mean I'm not being explicit about which but Some of you probably know what I'm talking about And there has to be a society-wide discussion about what is ethical? Only then we can train engineer engineers about what to do and It will not be at the engineers level. I think it has to be at the executive level on You know how much these? How much of this Society-wide discussion can be looped back into Building of and Since I have the mic to address Some other comments Sasha's and I Forgot your name About you know keeping some Designating some no-go areas for AI It's a I don't particularly agree with it That's why I'm That's why I'm not speaking that passionately about it, but it's happening already in Korea We just adopted Database emerging guideline so the government Assigned like six seven agencies and There you can Ask the agencies to merge Two different databases built for different purposes for instance, you know refuge camp data, right? if you want to merge that with Other in law enforcement data you can bring the data over to that agency and the agency provides the merging service and Who do you think was the first set of customers? Well? insurance companies right they came with They came and they asked other companies That have data come to the agencies and they received merged data Now this is a violation of data protection law Because those data bases were built for different purposes now. They are being merged And Korea has one of the strongest data protection law in the whole world So there's a big controversy but if we There's big controversy and the civil society is demanding that The government health data now in this case it was the merging of government health data with insurance data the Civil society is demand demanding that the government health data should never be merged for any profit purpose or merged with any data collected by private companies. I don't agree with that A lot of times private companies do valuable service a lot of a lot of times private companies You know enhance Advanced science and technology for the greater good of the society Should not just ban private company should not ban private merging of data bases or should not ban outright merging of government data with private privately crowdsourced data But I think the public's demand public's claim to some ownership on big data will continue and It will continue to continue to increase through this window of data protection law I talked to people in Europe who have you know who have institutional GDPR They don't seem to have a clear answer to how they're gonna get around their protection regulation in merging different databases Well, if we keep avoiding that issue We cannot have that kind of control that you are talking about we should We should we should confront that issue and discuss opening and discuss frankly That you know mechanistic application of data protection law will just outlaw big data period so we have to We have to cut a compromise and through that compromise we can talk about You know outer outer boundary of AI or some no-go no-go areas Thank you. I was hoping that the that the data protection angle would get fleshed out in the manner it had I know that Nagla has been waiting If I may I just want to go back to the point of engineers. You're absolutely right But it is not enough. I think the problem is more of the ecosystem so that's precisely why being here in this community and Approaching the matter from a multidisciplinary Interdisciplinarity perspective is important because at the end of the day you there are there are engineers and there is funding Not enough so definitely there is need for more But they're not doing what they would like to do because the the culture the Understanding the need for people like somebody like me who's an economist to work on policy impact to make and and many others in The room to work on making the Deliver the message of the importance of this type of technology for the good for inclusion etc Because what happens is that we end up having a scenario of brain drain and those very bright minds end up You know working in the developed world and we lose the potential all together. Thank you Hi I think I will create more challenge in the now democratic democratic countries, you know, you know, lots of data are in the hand of the Governments and they can use in the way that they want. I'm from Iran and for example, there is Cameras for control the traffic rules, you know, it's very good and the recent years Lots that they can't control the speed, you know, but in recently they used to Identified a woman who are not covered their hair in the courts, you know, and so they identified a car number and they could arrest the women so How we can force non-democratic countries to buy Ethic rules, you know regards in AI and You know, I'm definitely thinks, you know, it will go put lots of pressure more pressure in the citizens in the country Even it's come to know the How accurate the data is and how they could use the data which are their hands. Thank you Thank you. Good to take two more comments and then Thank you. We're going to take two more comments and then do a quick wrap up by everyone on the panel here. Oh, sorry Sorry, hi, I'm Julio. I work in Chile And I'm got a lot going on in my head. I need some AI to process a little faster The two things one is since I've began today or the readings prior to this experience I've had in my head that we're talking about artificial intelligence and inclusion and for some reason it always felt like inclusion was secondary to Artificial intelligence and we're talking within right artificial intelligence But I feel that perhaps if we flipped it a little at least if I flipped it a little and think, you know How can artificial intelligence really help inclusion and when I think of inclusion? I think of much bigger structures much bigger conversations I think that we touched upon earlier today, which is how do you listen to people in communities? How do you do basic direct action organizing of the 60s the 70s that today is called human-centered design? Etc to continue to learn and use this discourse that we're having around artificial intelligence But really to keep pushing changing the ways in which governments and people have Conversations about creating solutions for the people who are affected by the problem That's one thing going on in my head. The other thing going on in my head and reflecting especially in relationship to sort of the Everyday people that will that don't that relate to the work that we the many of us do is that in Chile? We have a project that is a platform Online platform to address the needs of LGBT kids or kids who are affected by discrimination based on sexual orientation Gender identity expression We're trying to kill themselves. Yeah, so a few years ago I created an organization and that organization needed help Helping other kids because the government of Chile doesn't have the infrastructure to actually respond to their needs Even though Chile has the worst levels of teenage suicide or among the worst in Latin America So we created this simple online platform with a partner and instead of responding to a hundred and fifty cases in a year We're now responding to fifteen hundred cases every semester of these kids who need help in some way from counselors And now we're talking to other countries in the region to try to help with this platform And we asked ourselves the question of artificial intelligence or how can this help us? Really respond to these needs because the demand is very high But in the end or not in the end in the car in the process story and right now I think there were two comments that are made earlier. There have been most Interesting to our work, which is affect and empathy Right, so we talk about the machine of all of this. Sorry. I don't have all the language. I'm coming from the inclusion side I guess The machine of all of this but I think in the end for us in some issues that are related to inclusion You really do in the end have to have the human on the other side Perhaps artificial intelligence can help diminish, you know of the fifteen hundred cases We can get to a hundred and fifty that need the most help and therefore need a therapist But I think one of the questions, you know in relationship to inclusion Especially in this region where in Chile the infrastructure of the Ministry of Health cannot respond to the need of these kids is Are we are we do we need to go this far or is there a simpler solution to get to including these kids? Thank you so much. I'm going to invite another very short comment and in the meantime I'm sorry. I borrowed this one from oars because I love it so much I'm going to invite the panel to do that wrap up and tweet size remarks So you have time to think while we get the last comment I have a not fully formed question, but it has to do with the use of AI in Education and it I feel like precisely asks where your question left off the use of AI and education was one of the big Most think that people were most excited about in good uses It makes me nervous. I'd be curious to hear the panelists thoughts about what would work Okay, we're going to start just to give you a little more time. I'll begin with my tweet size remark Which is I agree with Nagla or I The lady there, I I don't know which country you're from but on The the policing the use of AI for policing I think the better control is that the input phase again and if you have data protection Well, usually data protection law should have some regulation on CCTV CCTV that's used on public areas and There can be some limit on the the number and purpose of CCTVs and To your comment Yes in in Korea, you know, we just changed the Changed our president through massive demonstrations on In the metropolitan area and the police kept Downsizing the number, you know the size of the crowd to de-emphasize, you know, how much public support there is And it was technology Not particularly AI, but it was a technology that was used to calculate more precisely the size of the crowd to to help with You know people is organizing and there are tons of other cases where Technology technology was used in mobilizing the public. So yes, we didn't get to talk about You know those are big good uses of AI, but I'm sure there will be other panels. That was quite the tweet. I must say Very briefly then to respond to the initial question about well if this is possible to you know translate Ethics into code that runs these powerful AI systems. Why aren't we doing it? Well, I think it's important to remember that it's not going to be super easy or cheap in many cases and Focusing on how to build out incentives to do this work is going to be really critical I'm going to my last remark is going to be related to your comment or question about Can AI support the global south deliver better quality education? Yes, it can in so many aspects because we have a challenge of a big student Teacher-lecturer ratio also have the quality so AI can support in these many Can support education system in these aspects and also the aspect he talked about of I think it was about Student support services outside the classroom being able to follow up. What's going on with a student? But but the big question is if we do not address the challenges of AI and inclusion then we'll not be able to get useful Applications of AI in in in education in health in agriculture and so many other sectors So mine is going to be a bit of a Twitter thread. I'm just to respond to the Governments using AI to police I'm normally wondering if a bottom-up approach wouldn't be better because sometimes governments have incentive to not have data protection laws and For my context anyway, I find that people who do not work in technology are not very aware of how technology affects their every day So you think that because you're in health or in education AI is not affecting you but at the end of the day all our data is being churned into this big AI Machines that's called them. So just getting people cognizant of the facts that Everything that is collected about you could at the end of the day be used against you might push people to push the government to then Implement some data protection laws and then finally the end of my Twitter thread I think that we need to make sure that we as individuals from the global South are not just recipients of advances in AI but Shapers and champions as well Thank you all for an excellent session and for also showing Switzerland that the global South will do what the global South will do


What's the word y'all welcome back to reacts we had 200k yesterday or this morning? Thank y'all thank y'all, and I know I haven't kind of slacking over here But I made a promise on Twitter that we here we here to stay so last week we uploaded a video where I was reacted I think it was a trade targets or something for the offseason y'all seem to enjoy that video So here we are reacting to another another article We will get back to highlights and stuff, but you know diversify a little bit so raking NBA's top 15 point guards this season So in my mind when I hear somebody say this season, I'm throwing out the entire resume I don't care if you did this and that three years ago two years ago even last year But based on we are production this year. This is how you rank So it should be fun shout out to Andy Bailey and Dan for them links in the description to the entire Tyre article if you wanted to pause and actually read we're just gonna be reacting to the names and stuff Associated with it leave it like subscribe if you knew let's get into it Lucas considered a point guard now I wonder if they're gonna consider LeBron a point guard because I think on basketball reference They may have LeBron listed as a point guard, so I'm interested. I'm interested of course Dame is gonna be up there because this season Dame is ridiculous ridiculous 15 311 we have Spencer Denwood D'Angelo Russell Frevely Eric Bledsoe and Deira Fox I'm trying to think about do I have any Again just based off this season D'Angelo Russell is pretty low here, right? Remember it is based off this season that D'Angelo Russell was put in a weird situation where of course he ended up with the Warriors and They had this injury that injury that they start bringing in G league players to play alongside him So his overall impact wasn't really saw Because he was playing with just such a bad roster and then unfortunately for him and I guess for us too We didn't really get to see him much with Carthony towns because of the season gas suspended and even before that Carthony towns have been dealing with some some different injuries here and there So we didn't really get to see D'Angelo Russell in a situation like the year before Where he was in all-star and stuff and he was leading the playoff team So I can understand him being relatively low on the list for again just looking at this season alone Do I look like a ghost with my white shirt in this white background? Eh, we're fine. Spencer did what he does. Spencer did what he's having a very a very very good season, man I love his progression throughout his career Coming from a guy that was in the D league G league area Get away from this team some of the league here and there to actually be like a legitimate player Or like he can impact so many games. He's closed out a decent amount of games for them When Cary Irvy was sitting out with his injuries and stuff. So 15, Spencer, then when he 14 D'Angelo Russell similar to what I said, Steph Curry and James Harding only plays in the history with a season that match 7 assists and almost 4-3s per 75 possessives So again, they're saying like hey, D'Angelo Russell is good But this year it's been kind of a struggle. Forever of leaders is a surprise to me here You became a full-time start is what it says here. And I mean he has helped the Raptors. You got to think about Firmively is similar to Cal Lauri in the way that if you look at his individual statistics like oh He averages this many points assists and rebounds It may not jump off the page to you But when you watch the Toronto Raptors, you see the impact that these two guards small guards have whether they're playing together They play a separated. I love watching the Toronto Raptors play. So that's a Freddy I'm gonna claim him as a Chicago even though I think it's from Rockford, Illinois specifically I was on the floor Toronto allows 105.9 points per 100 possession Mark ranks 87 percentile his in-your-face defense I mean in the play in the finals last year He had a lot of the Steph Curry a sign and he had a couple very good defensive possessions against Steph Curry So great Eric Bledsoe Eric Bledsoe is always gonna be a conversation for around this round between like 15 and 12 I think 12 is probably the highest we'll see him Because his defense his defense alone just puts him up there And his offense is too shabby either Fact in fact after a few years alongside MVP caliber Yannis Bledsoe might be a bit underrated on that I can I can see what he said I can see what they're saying because it's more than one One author here. I can see what they're saying because his role is kind of minuscule in the grand scheme of their offense I think he could be a more impactful player on the offensive side of the ball based on his previous history But the defense alone is a reason why the Milwaukee Bucks is one of the top defenses in the league It's not just Yannis is not just brick Lopez is not just that's a divention So it's like the whole collective just really tying in it's just playing great defense Dear Fox now dear Fox missed a decent amount of the beginning of the season I think if he was an ankle injury now dear Fox is one of my favorite point guards in the NBA And I was hoping I'm gonna be honest which I was hoping his production will be a lot better this season I was hoping he would take that next jump like some of the other younger point guards did this year But I cannot be mad at his production, especially for the second half of the season We're the Toronto not the Toronto rapists. Oh my god, the Sacramento Kings were looking so much better They were the hottest team in basketball before the the league got shut down One difference between Bledsoe dear Fox is that the former has a luxury of playing Over two-thirds of the total minutes alongside the MVP his burden a significant lighter the dear Fox's third year Yeah, yeah, even a heavy load He missed 17 straight games. That's what it was. He averaged 20 points per game seven Assist yeah, we go right up for him in just 30 minutes I really do like dear Fox's game one thing that really hindered him this season is his coaching And I feel like a lot of the young players in the NBA go through this We're like your front office brings in a coach that doesn't really fit your play style like these Toronto Raptors I keep saying Toronto Raptors the Sacramento Kings were one of the fastest teams in the league last year And then they like, you know what? Let's have Luke Walton take over and he completely changed that His name is swipe but the iron fox his name is swipe. Oh that boy. He has the quickness But Lou Walton got this boy playing the half court. Oh number 10 rookie drama rats That's beautiful to see rookie drama right here, and I cannot Disagree I cannot disagree this team is rejected to in 24 games this season And here they are setting at the 8c before the NBA season comes back. I love it I don't need to explain you why John Moran is as good as he is. So we'll keep it going That is crazy as a rookie As a rookie now I remember before the draft there are people out there that weren't they weren't high on job because he has such a thin frame How with his lack of strength hurt him when he's guarded by some of the bigger guys, I mean You tell me ain't really heard him too much has it shout out to John Moran number nine Kimmel Walker now This is probably question to believe low to a lot of y'all but Kimmel Walker getting all-star starter this season And mostly due to the lack of like really elite guards and the in the Easter conference He's had a good season do not get me wrong But he has went from a guy coming into the season where we all expected him him to be the best player on the Celtics To him being the second best player and on some nights being the third. Yeah, but that's okay That's a luxury that your second best player is still an all-star caliber player So I like Kimmel Walker's game The second half of the season after the all-star break and a little bit before the all-star break He was starting to slow down his productivity. I think a lot of that had to do with him being injured I'm gonna rank that up to be an injured man because once he came back at the all-star He's like Kimmel you shouldn't be playing right now So I hope that once we get back to playing basketball. He's back to healthy Because the Boston Celtics need him to be you know, sometimes to close it We've seen Kimmel Walker close out of decent amount of games and not just his NBA career, but before that as well So shout out to him and shout out to him numbers eight ice tray Ice tray young the fact that this man is this high when he's the worst defender in the league is crazy That's just let you know how good his offense is Yeah, it's hard for me to deny How good trade on yes, and I saw that on my own eyes. He was going against the Denver Nuggets I was in attendance at one of the games and it's just like his impact is ridiculous when he wasn't on the court Bro people were literally getting out of their seats And that's when they were going to see the concession stands and stuff like that. I had like it wasn't court-sized seats I was like two rolls off of court side And I ain't spend that much money on I'm behind switcher But I had the luxury of going under the tunnel to like this bar area and I did it too when Trey young wasn't in the game And I think it was Branding good one was their backup of this one this before the Jeff T trade. I was like All right, I'm gonna go give me something to drink now because I'm not really feeling this lineup that they have going out here So yeah, Trey young being top eight makes a lot of sense He oh here it is. He is dead last in the SPS defensive plus real plus minus But I wouldn't think I could say about the Atlanta Hawks is that they're trying to build a team around him being a lackluster defender Bringing a camera. She looked very good defensively as Ricky sees the same thing with Hunter click appellas above average defender So they're trying to build a team because we know that Trey young is never going to be a plus defender with his size So he has to be around players that are plus defenders number seven Russell Westbrook. This might be I think this is I Would have to see you's above him. I would say this is kind of low for Russell Westbrook man The first month or so the season he was dealing with the hand injury, right? I think he had like a his pinky or a thumb one of the important fingers on his hand Maybe it was his middle finger was like jacked up and then once that healed he started to play well And and then also during this time he decided, you know, I'm just gonna stop shooting threes I'm gonna just take more mid range I'm a drive to the paint and that was also the time where they decided to get rid of click appella Whether click appella was injured or after the trade everything opened up for Russell Westbrook, you know I think this is kind of low for the way Russell Westbrook has played this season. Let me see who's above him Cal Laurie Interesting interesting because again Cal Laurie is one of those on court impactful players Cue the annual Cal Laurie is too damn high pitchfork carriers. I'm not one of them, bro I understand why Cal Laurie would be this high on the list. I Probably put Russell Westbrook one over him personally though. I probably would okay. Let's see who's number five Kyrie cannot complain about Kyrie when he was on the court when he was healthy He was a bucket. He was a bucket. So it's always what you're gonna get from Kyrie. You're gonna get buckets. Number four Ben Simmons makes sense. He's gonna be all defensive player this year I would put him on my defensive first team. I see an elite playmaker team is better when he's on the court I Mean he's amazing that finish at the rim is what this tells me as well I can't complain about him being the fourth best point guard in the league this season number three. Yes Let's go You may not agree with this, but I'm okay with having Chris Paul number three Let's go, man Turn back the clock Chris Paul looked like he was playing for the Hornets this season number one to defend not a defensive But in like clutch time scoring Clutch type percentage amongst guards It's this ridiculous season for another team that's rejected to not make the playoffs in there They're sitting comfortably Um, and I love it. I love it. I love it. Now the only thing is they still making that big time back But still, um, Paul absolutely remains a top 10 fringe NBA player Yes, sir Second highest true shooting percentage of his career And as kevin arach automatic for mid-range 53% on his looks That is ridiculous consider it in the volume of of mid-range shots. He takes as well Chris Paul my boy up there as well number two damian lily, which means that number one is going to be luka Okay, so lebron is not classified as a point guard this season According to b r a damian lily cannot deny this the man had a ridiculous run for like a whole month He's averaging over 40 points per game It sucks for him that he had to do that because he had so many injuries on his roster with nerkets being out That collins getting injured Um, and and all the other right in the hood alpha the season They had a lot a lot of injuries and damian lily put his backpack I was like, you know what we may not end up being in the playoffs We're gonna still be in playoff contention Even with all our injuries at number one Uh future face of the fba in my opinion luka docic Second year pro ridiculous. All right, so that is their top 10 point guards in the league Let me know what you agree with what you disagree with again. This is not my list So don't get mad at me for the rankings. I was just reacting to it It was some things I agreed with some things that I think are questionable, but overall a good read. I'm out


Your application's container image may itself be based on container images that contain known vulnerabilities. By including an extra job in your pipeline that scans for those vulnerabilities and displays them in a merge request. You can use GitLab to audit your container-based applications. Here's a merge request which contains container scanning. Click on Expand to expand the security scanning and see that container scanning has detected 13 potential vulnerabilities. They are all sorted by severity. If we go ahead and click on Vulnerability, we get a pop-up giving us detailed information on that vulnerability and how to resolve it. We also get the option to dismiss it and leave a comment for the security team to review or to create a confidential issue in order to collaborate on it later.


In her smash hit song 7 rings Ariana Grande sings, Whoever said money can't solve your problems must not have had enough money to solve them. Most people would probably consider that a pretty hot take but when you've got a reported 100 million in your bank account the entire world is your oyster. Ariana Grande is one of the highest paid and most popular celebrities on the planet at the moment. She's over 188 million followers on Instagram alone and generally earns between 20 to 30 million dollars a year. Everyone going crazy over her new video stuck with you which reveals the identity of her new boyfriend real estate agent Dalton Gomez. Ariana has found herself once more where she's most comfortable as the center of attention. But what is notoriety like hers by? Well a whole lot actually whether it's dream homes on both coasts or working with the likes of Coach, Mac Cosmetics, Lipsey London or Reebok rest assured that it's only the best of the best top shelf quality products that Ariana associates her lifestyle with. After all the other things she made crystal clear in 7 rings was I want it I got it. That's right what Ariana Grande wants she more than often gets but how did a young girl go from working on Nickelodeon television shows to one of the most beloved and successful pop stars ever with an estimated net worth of 100 million dollars? Today you're gonna find out. What's going on guys and girls it's Kara and welcome back to the Millionaire Life series here for you on Famous Entertainment. Remember unlike our other series this one investigates those celebs with more than six figures in their bank accounts living in the very lap of luxury. Ariana might just barely meet that threshold but no one can deny that she's the very embodiment of extravagance. We did a couple of other videos like this on Kylie Jenner and Harry's style so be sure to check those out if you enjoyed this one. Don't forget to keep the suggestions coming in for who you'd like to see next on this series after all you guys decide. Follow me on Instagram and subscribe if you're new. Now let's get into Ariana Grande's Millionaire Life. Ariana Grande was born in Boca Raton, Florida on June 26th 1993. She began studying voice and acting while still in elementary school paving the way for her to join the hit Broadway Musical 13 in 2008. She then left to high school and began being homeschooled in order to pursue her passion for acting. In 2009 she landed the Nickelodeon sitcom Victorious which aired from 2010 to 2013. Despite being a fresh face at this point, she was already banking $9,000 per episode. She also got paid an extra sum for writing original music for this series including $4,000 for a theme song and $3,000 for tracks played in various other episodes. Despite finding success as an actress, Ariana was looking for a different form of creative fulfillment and in 2013 she released her debut album Yours Truly which featured appearances from artists like Big Sean and Mac Miller. It briefly hit the number one spot in the US Billboard Top 200 chart and sold between 100,000 and 120,000 copies in its first week. From that point on, music would become her ticket to worldwide fame and helped her mass the bulk of her fortune. She sold over 1.7 million albums in the US alone and even her singles both sales worth an estimated $29.5 million with top sellers including Problem featuring Iggy Azalea and The Way featuring Mac Miller. Her dangerous woman tour grossed an estimated $71 million which is high enough to rank as one of the largest grossing tours in 2017 and that's on top of the roughly $50,000 she was making in merchandise sales each and every night of the tour. By 2019 she had two number one albums in the span of 6 months, sweeten her and thank you next and she became the youngest and only the fourth female artist to ever head line Coachella Valley Music and Arts Festival in April when she was paid a reported $8 million for her appearance. Her most recent sweetener world tour ranked in around $1 million for every city it stopped in. Outside of music Ariana is practically just as busy. She's worked with some of the biggest fashion houses in the world including the likes of Coach which she really still limited handbag through. She debuted a line called Viva Glam for Mac Cosmetics the proceeds of which all went to the Mac Aids fund. Hi world, I'm Ariana Grande and the inspiration for my Viva Glam shades was the good girl vibe and the bad girl vibe. Everybody has a little bit of both in them so I wanted to express that with these colors. 100% of the proceeds are going to the Mac Aids fund like every single penny goes to people affected with HIV and AIDS that need medicine, food and no other brand does that so that makes it 10,000 times more exciting to me. She also launched a highly successful fashion line with Lipsy London. Shooting my Lipsy campaign and I'm very excited about it. It's very girly and youthful and there are some sexier ones, there are some more playful younger ones and Strauss is here. He really likes the outfits. He's been like totally digging all the looks. And don't forget about one of her signature looks, the cat ears. She collaborated with Brooks Stone and artist Wenging Wan to create a pair of headphones in the shape of her favorite hair accessory.  Look at how cute these are with the cat ears. In 2017 she became a brand ambassador for Reebok. What it means to be human is being as accepting as possible of yourself and evolving. We're never done. And in 2019 she partnered with luxury French fashion designer Givon Shea to become the face for their fall-winter campaign. These endorsements are pulling in millions upon millions of dollars for Ariana but none of them are quite as successful as the seven fragrances she's released through Luxe Brands. Sends like moon, lightsweet like candy and Ari have generated more than $150 million in global revenue since the first set hit the market in 2015. On my way to my commercial shoot for my first ever fragrance called Ari. We decided to call it that because it's personal. It's my first fragrance ever. I love fragrances. In my whole life I've collected perfume. It's my favorite smell ever. If I could smell like one thing I would want it to be this. Alright now that we've tracked the majority of the ways Ariana earns her money let's get into the fun stuff. How she spends it. Since we're already talking about it let's stick with fashion for a sec. If you follow Ariana's Instagram then you already know beyond a shadow of a doubt that she loves high-end fashion brands. We're talking Gucci boots worth around $1800 a pair or Louis Vuitton skirts worth $1200. She's also partial to luxury Italian brand Fendi who sales may well top that of Louis Vuitton in the near future. After all this jacket alone set her back over $2300. Even when she's just out for a walk with her dogs she's worth a fortune with an ensemble of a mesh ki-von crop top worth $34. A pricks Kuma windbreaker with $100. American Apparel Mason fleece sweatpants worth $54.  That outfit might make her the least normal normie ever. I could go on and on with Ariana's fashion purchases but I think you guys get the point so let's move on to real estate. Ariana's primary residence is 6000 square foot home in Beverly Hills which features five bedrooms and both expansive views of Hollywood Hills including an impressive outdoor seating area with a pool and a hot tub. It's her time in her 4000 square foot apartment located within the Zaha Hadid building worth reported $16 million. It's unclear if she just rents or owns the four bedroom in Manhattan residents but she initially intended to share it with her former fiance Pete David. She sold her former house in Boca Raton for an estimated $4.3 million. When you work as hard as Ariana Grande does there's no point in sparing any expenses when it comes to a little downtime and in 2017 was reported that she would spend as much as $10,000 a night to stay in a massive winter wonderland at a Colorado Airbnb. Finally when you're constantly on the move you need some reliable vehicles to get you around and Ariana has been spotted in a Range Rover valued at $94,000. Alright that brings us to the end of Ariana Grande's millionaire life. What do you guys think about her spending habits? It seems to me like she's still easing herself into the comfortable life being careful not to spend too much money on necessary extravagances while still showing off just how much she's worth and that her taste is most definitely on point. Let me know who you want to see next in the comments down below. My name is Kara and be sure to subscribe and ring the bell for notifications. Don't forget to find me on Instagram and I'll see you guys soon in another video. Bye!


I'm going to say this to say this. Y'all know First Take? Yeah. Y'all know Undisputed Show? Mm-hmm. I'm about to have my own show just like that. Damn. Man, y'all see that, bro? You see that? Wow. Boss Talk 101 exclusive, man. It's going down. Yeah, we on Boss Talk 101. Like, see, these doors are about to start opening for you a lot more because of the people that you come in, come in with. I got some breaking news. What's that? Let's go. Boss Talk exclusive, nickel. I got my own show coming. So I'm going to say this. Oh, word. I'm going to say this to say this. I'm going to say this to say this. Y'all know First Take? Yeah. Y'all know Undisputed Show? Mm-hmm. I'm about to have my own show just like that. Damn. Man, y'all see that, bro? You see that? Wow. Boss Talk 101 exclusive, man. It's going down. This year. This year? The year almost done. We from the push. Yeah, that's why I go. We have them just that fast. We from the push. We from the push. It's going to be the same. It's going to be with Breakbeat. Well, we could have been filming, but I've been with Floyd. So that's hard. You know, when you with him, they wait. They got the wait. OK, do you think it is the way we like it? You know, Floyd, good people with Floyd. Like, tell them motherfuckers wait. If they want you, tell them motherfuckers wait. Oh, we'll wait. Man, I love it, boy. I just love it. I love the fact, bro. I love it. I love to see this year jumping out at me, man. I can't wait. I'm ready. And what's so cool about the situation? You know, with the show or whatever, I was telling Floyd about it. Because you know how Floyd, he don't do things. He was like, and I'm going to be on it. Coming on, or he said, I'm coming on your show. Blessing you, man. He's going to change this thing, man. Boss Talk 101. You don't see Floyd on many shows at all. Not like that. No. But it's the one he feel like he want to do. When was the last time you've seen him on a show? It's been all my own time. Well, he do what he want to do. Right. That was just what I was going to say. One thing he told me, he said, whoa, a lot of times people say things because they attached to this. They got contracts and this and that. Like nobody on me. That's real. I'm my own boss. I move how I want to move.  I was like, man, I got this show here, but I know you be busy. I'm the boss. I like how I do it. Gass up the gym. I do what I do. I do what I want to do it.   I ain't got no more fights right now. I don't think he fight no more. You got one in January and February. So he's scheduled to clear right now. So he's pulling up. And I know how he pull up. It's going down. It's going down. Man, and that's and man, and I'm coming too. Got you. Yeah, nigga, I'm for the fly in. Nigga, I ain't trippin' y'all. I'm playing, nigga.  You not leaving me, nigga. It's up here. I got you. Trust me. I enjoy it, man. I want you to meet him because he could people. Man, he can give you so much more. He can give you so much game. And just being around him gonna. Change the game. Shoot the numbers through the roof. Yeah, I just love you. Love God. Oh, yeah, I mean, Floyd very like the internet, the world, stigma of people, man. Yeah. You know why people say a lot of that stuff about him? Because I can only imagine. If you see a man walking somewhere and he got all these, a cocoon of bodyguards around him, you can't get to him.  He cocky, he this, he that. And I really feel like a lot of it has to do with that. Well, he is. Cause he supposed to be. Most of them 50 and no. That nigga 50 and no. Yeah, 50 and no. I've been already. Anytime a nigga go to capping and high-side and all that, that's what I like. Get back up, though. And break, go on. And sell me some motherfucking chicks.  I see why he ain't that way. But we have to remember that motherfucking work. He worked for it. You just said, you know, he started to say, we're at 10 miles.  And he got not much energy. Like we in Dubai, right? We go out to all these events. It's like four in the morning. I'm going to the room, right? I'm gonna go to the room. He called, where you at? Say, bro, I just left you. Now I'll come back up to the room, family.   Just when is he going to sleep? Man, Flo, I sleep two hours and good. He back on it? Back on it. Every day. He sleep about two or three hours and back on it. I'm over here about to die. His body goes like, you're going to see. What kind of vitamins he take? When he go to sleep, you go to sleep. That's it. That's what you got to do. I'm learning. So when Flo, when Flo does and all, I take off.  Like if Flo is sleeping and somebody come in and ball, and they get mad, leave that nigga alone. She goes like a baby, a newborn baby. I'm going to tell you Flo has a schedule. Wake up, buying jewelry, going to the mall and eating. Kicking it. And trying and kicking it. Same day, next day, buying jewelry. Can you ever have enough jewelry? That's too much. You can't be buying jewelry every day. That motherfucker got it. He kicking it. Yeah, we on Boss Talk 101.


I learned so many skills of being a lineman, you know, anything that from digging holes or climbing poles, operating any piece of equipment just about, it's got Georgia Power, a Southern company logo on it. I've had the opportunity to get many skills working for this company. I never knew how important a lineman was until I took the job. It's a service that I've been here. You don't need us until the lights go out. You really appreciate us when the lights go out. And as some people say, we keep you warm and we keep you cool, awesome. I never served in the armed forces of the military. But sometimes I feel like I'm actually in the military working for Georgia Power Company. As I go out in the field, it's a dangerous job. But if we follow the rules, we're going home every day. It's the same as being in the military. We on call 24-7, we do whatever we can to keep the lights on. I'm Chuck Wise. I'm a distribution lineman out of Cardisville. I've been employed with Georgia Power for now 36 years.


Ooh, that's a hot mug, guys. Hey guys, this is my review for Inception. This is because of the 10 year anniversary event that just happened at some of your local theaters. I went and saw it in the IMAX again for the first time in about nine years. It was very fun to see it again. It also came with this really cool like 15 minute introduction of Tenant, as well as a retrospective of Inception and Christopher Nolan talking about how he feels that at the time because of the previous movies he had done The Dark Knight's Prestige, he had the capability of being able to make this film and by doing this film at this time was perfect for him and his career because then he was further able to explore the means of filmmaking that he wanted to try and do with films like The Dark Knight Rises and There's Stellar, Dunkirk and now Tenant. And it's pretty easy to say that Inception is still one of the best movies he's ever made.   I also started that line with, I hate to see out of control because when this trailer first came out, my brother and I misheard what Joseph Gordon-Levitt said in that trailer. We thought he said, I need to see out of control. And we're like, whoa, what does that mean? Admittedly the trailers for this film were so well done, the teaser completely blew some people away with in terms of its scope. Just seeing Joseph Gordon-Levitt going down a hallway, kind of flying slash walking as it's turning. And that still is my favorite scene in this entire movie, along with Hans Zimmer's soundtrack, Lee Smith's incredibly underrated editing to the point where I still don't understand how this guy got gypped. If you watch the film in its chronological order with splitting up the scenes, they almost match up entirely in terms of the actual aspects of how time works. As they further go down into the dreams, the editing still matches up with how things are proceeding, which is so impeccable. But the other part that I liked about this movie, which is what I'm wearing right now actually, when I was 19 years old, I thought Joseph Gordon-Levitt wearing a vest was like the coolest thing ever. I got a lot of vests over time. Admittedly, I actually can't wear many of them now because of the weight loss. I tried on two other ones and they looked like giant garbage bags on me.  The Inception is just such a fun movie to enjoy and I still kind of get blown away about how this movie was not filmed with an IMAX camera.  And I think Nolan thought that either I can use it for a large portion of the movie or I can't use it for anything at all. And you saw what he was going through with Dark Knight Rises because while he loved using the IMAX camera for that movie, you can tell that he wasn't able to film everything that he wanted to. Dark Knight Rises is more so, I feel, a camera experiment for Christopher Nolan in terms of what he could do rather than just being a trilogy ender. And Inception is just something that people keep coming back to over and over again. It's been meme to death. It's been parody to death as well as it just keeps being talked about, even though it's 10 years old now. The only thing I would say, and this is something that Nolan has done for a long time, is I always find it weird how bad his gunfights are.   They just put the noise in. It happens particularly in the first gunfight when they're in the rain in the cab. Like sometimes there are some bullets being fired but other times it's just, you hear the sound, you don't actually see a flash or anything which always weirded me out. However, I think this is the last priority they had when they were putting a goddamn train in the middle of a busy street. All the while, Wally Fister had grips with giant bounces, like basically kind of covers, up on top of skyscrapers to block out the sun. You can see that the building they're in, they actually have it in the dark, but if you look all the way down, you have to like kinda squint, but you can see actual light protruding at the end of the scene. It's nuts that they actually had to do that because one, that's a big safety issue and they probably had to go through a lot of work to make sure that was safe. At the same time, that's insane dedication. Well, that's one of the many reasons why Wally Fister won and I really wish the guy would go back to cinematography, him and Nolan were just such bros but now we haven't talked about the characters. I like every character in this movie except JGL now. JGL at first was like, oh yeah, he's got the vests, JGL's cool, but then after rewatching it, he's the only one in this entire movie that barely has anything of a personality. He has very cool sequences, don't get me wrong. His entire elevator slash hallway fight sequence is the best part of the entire movie. He actually protrudes a bit of a character emotion at the very end of the movie when you can see he is visibly afraid about whether they will get out of the dreams with his plan with the elevator. Tom Hardy is very funny as he is, he also has a very quirkiness to him. I love Ken Wannabe's character in this because he's one of those big corporation goons who actually has a bit of smarts to him. Killian Murphy's character arc in this film is so well done. Tom Beringer, you've never seen a better performance out of this guy in the last 10 years. Ellen Page has a great insight in terms of being our representation of seeing Cobb because everyone else is kind of like, eh, with him whereas she's like, this dude's crazy. And speaking of Cobb, he has such weighted guilt in his conscience because of what happened with him and his wife, who I thought was very well played by Marion Coulthard. Probably one of my favorite parts about this movie is the idea of our own twisted guilt, how we perceive other people's thoughts, emotions and reactions to ourselves, that very, very dark inner look at ourselves to the point where it can be toxic, to the point where it can almost kill us. That's a representation of actual people's emotions. It's not just some sort of weird dream guilt thing. It's an actual problem that some people have. But overall, the movie is just a fantastic ride. You are constantly engaged. The cinematography is capturing everything that you need to. You're embedded in these characters. You're embedded in their struggle, their strife. And again, it's a heist movie, but you don't really recognize it until you actually really start looking at it. It also helps that I watched the Rick and Morty heist episode. I never realized how few heist movies I've seen. The few that I have seen, even Inception to a small extent, does follow that same hierarchy, that same structure of how heist movies work. Admittedly, because of Inception's concept that it surpasses the normal trope of a heist movie, it's far beyond that because it's not about stealing something. It's about implanting something. It's about putting in an idea. It also has to deal with time and how time works in a conscious, subconscious state, as well as all those little dream bits that he talks about that everyone's like, oh yeah, I recognize that. Oh yeah, I'll get that too. I like Inception. I love it. It's a fun movie. I watched it to death when I was younger. I haven't watched it as much recently, so it was really cool and refreshing to see it on the IMAX screen once again. I also feel that Inception represents the end of Nolan's banger trilogy, in which I mean he's had the prestige, which was highly, highly underrated. It's probably one of my favorite movies that he's ever done. The Dark Knight, which, duh. And then this movie. Dark Knight Rises is okay. It has some problems. It's a very thematic film. It has a fantastic means of entertaining the audience even when some of the stuff happening is kind of stupid. But I feel that these three films are pinnacle Nolan. If you ever wanted to watch anything of his, these three are it. I also really like Interstellar, but we'll talk about those another day. In the end though, I'm gonna give Inception a seven out of seven. I don't think that was any surprise here. If you guys haven't got a chance to see the 10-year anniversary of Inception at an IMAX theater or any theater in your area, I would suggest you try to, obviously be safe. It's really cool to relive this experience again. I would really highly suggest you watch the retrospective because Nolan says a lot of things about just how he felt with his skill at the time and that was how he was able to properly do Inception. Had he done it earlier, he would not have been able to do so. It's because of the challenges he put himself through with films like Batman Begins and The Dark Knight that he was able to take those lessons, take those challenges and put them to their full use and purpose in Inception. Anyways, guys, I hope you enjoyed this video. If you did leave a like and if you're interested in more subscribe, I'm gonna go wax my dome. My God, I do look like a bad guy. I'm sorry if I've looked like a douche this whole video. That was not the intention. I was just more so wanting to talk about how much I love vests. Anyways, see you guys next time. Thanks for watching the video. My name is Knitz and you might remember me from the animated cult classic TV show Undergrads. It's been a while, but I'm happy to say the click is finally getting back together in an all new movie thanks to a successful Kickstarter campaign. But we are still asking for your support. To see any and all updates about the upcoming Undergrads movie, be sure to check out and like the Bring Back Undergrads Facebook page. And with any luck, we'll see you guys soon.


We know for you know being expert in display. Let's talk a bit about display innovation today. It's my pleasure to unveil All new TCL technology, which is called TCL next paper TCL next paper is a new disruptive LCD technology Which has more than which has 11 patents focusing on eye protection. So what's new about TCL next paper? TCL next paper actually uses highly reflective display Which I show here Which actually reuses natural light if I can have some lights which we use is natural light to transform lights into Into colors so actually there's no backlight and as you and as you you know have light on that device the device will be Activated no backlight which means no zero blue light which means as well anti glare which means as well We have a longer battery life. So here. That's really you know and here on that on that device, of course You can watch videos animation all type of content which you are used to on your Android tablet and that's really You know we proud of this technology and this technology also enables us to have a longer battery life Because this technology also has is also his 65 percent more power efficient and any type of LCD display so How do we want to market this proposition? We see an opportunity here for Education and development it starts here with also the kids modes Which have a lot of programs for learning learning and education and parents can also see the progress of their Childs in terms of study time usage time etc etc at the same time as well You know if you're a student and you want to have all your content Lessons and so on on a device which has enough power for full day of use and we charge to a smartphone That's the ideal device for you this technology will be available in a commercial product soon And we will we look forward to sharing more with you in the near future now