Okay going live. Okay. Hello everyone. I am Sanjay Gupta. I welcome you all on Sanjay Gupta Tech School. So today we have one more session on Salesforce AI Associate Certification Program. So today's topic will be Generative AI. So till now like we have four sessions already done. So different topics we already covered and to deliver this topic I have Nikita with me. So she will be talking about Generative AI and whatever doubts you will be having if you want to ask. So you can raise your queries in the chat so that all your doubts will be clarified. Okay so welcome Nikita on the channel and over to you. Thank you so much. I think we can start with the session. Right. Okay so the topic that we have taken for today is Generative AI. The word Generative is quite literally explainable that what are we looking at today. It's that how do we capacitate a model to generate anything like text, image, video or any content. So this is a very tiny bit summarized format of what we are going to look at today. That is Generative Artificial Intelligence or making a model or capacitate a model enough in order to generate some text or image or video or any content that a user wants. So that's the topic for today. And as we know with some great topics with great technologies there comes a lot of responsibilities, there come a lot of drawbacks. So everything has got enough pros and cons. So we just have to optimize in order to get enough of the pros and we can deal with the cons as well. So let's dive into the session where we are going to learn about Generative Artificial Intelligence. So what is Generative Artificial Intelligence? Generative AI is the field of AI that focuses on creating new content based on the existing data. So well we know that Generative AI or AI was something not very common before a term called chat GPT. So as soon as this term popped up, it caught great eyes and then everybody followed this topic, the chat GPT, which was also succeeded by a lot of layoffs. And people thought that this is a stream, the artificial intelligence is such a stream that can take away a lot of jobs. However, we still are very much into the fact that it is going to transition the jobs. It's not only going to take away, but it's going to have a significant transition from one part to the other. So of course we read about the articles how the content developers got a lot of content developers, a lot of content creators were laid off from the different companies. And hence we got into a lot of study about chat GPT and today it's been around some couple of years that it was launched. It helped a lot of companies to get some good textual content. So this is how the first example of Generative AI worked and it caught a lot of eyes. Hence we can conclude that Generative AI is a field of AI that focuses on creating new content based on the existing data. What existing data? The billions of text pages that are there on the Google. That's how the Generative AI tool was trained on and the chat GPT was trained on with a lot of content that is already available on the Google. So the first thing and the foremost thing is to train a model enough in order to get the desired outputs that you are now getting through chat GPT. So there are several approaches to developing Generative AI models, but one that is gaining significant traction is using pre-trained large language models, LLMs, to create normal content from text based prompts. So text based prompts are those prompts where we can write our prompts, where we can write our desired wants and then we get in response. Whatever the boat is present there, it is going to deliver the desired content according to the prompt that you have plugged in. So Generative AI is already helping people create everything from resumes to business plans to lines of code and digital art and whatnot. So and you must be aware of one of the latest open AI generative tool that is Soda, which creates videos based on the text. So that's the latest tool. However, it is not publicly available, but they have got a beta testing thing and it's going on. The process is still on to optimize the pros and cons as I already mentioned. So some AI that perform the NLP on huge amount of data, which in this case now this is something that we have to read that some AI that perform the natural language processing. So what is happening inside GPTS, the language that we are putting in is process and then analyze and the desired output is generated based on a lot of training that it has gone through. This model has gone through and this model required of course a lot of computing, computing technologies and the GPUs which were acquired from different companies. And that's how the training got culminated into a totally different charging model. So some AIs that perform an NLP are trained on huge amounts of data, which in this case means samples of text written by real people. So first this billion text pages were written by different different people because you can see there are a lot of blogs on a lot of things. There are a lot of images on any type of topic that you require. So they were all human created things and then uploaded on Google and that's how the training of chat GPT culminated into. So the internet with its billion web pages is a great source of sample data because these AI models are trained on such massive amount of data. They are known as large language models and LLMs capture in incredible detail the language rules human take years to learn. These LLMs make it possible to do some incredibly advanced language related tasks. So you should know that these are all whatever you are using right now are LLMs and they have been trained on the data which was initially human generated. And this is a glimpse of generative AI. Let's move forward and look at the top five. Now of course every company varies with its requirements and whatever the requirement is they have got different AI tools. So you will find everywhere if you will put you know top AI tools. Every company has got different requirements and based on that they have categorized their AI tools. However top five of my favorite if you can say would be the first one would be Sora which is now going to be public. And that is creating the videos from the text that is the utility for it. Then you have chat GPT. It allows the regular users to create simple AI generated content without any costing. So we know if I'm going to prompt if I'm going to generate a prompt saying that you know explain this topic to me and explain how you know how there is waterfall. And then the number of waterfalls that are there in the highest waterfall. So whatever I want to know it is going to generate that sort of information for me from the pool of knowledge that has already gathered from different you know different universities sort of. And the main Google. So that's how it has taken all the data. Then you have fireflies. Now when I used to be going into meetings in our college they used to give us a notepad to note down everything into the notepad. However, now we have fireflies AI tool where you don't need to have a notepad. It's an AI meeting assistant that records transcribes and automates the meeting note taking. So this is one of the most important utility of fireflies. Then we have Jasper. It's an AI powered content creation tool that helps business create high quality content quickly and easily. It uses national language processing technology which we are going to dive into into the next next to next sessions. As it is also there in the AI associate program. So it uses the NLP technology to analyze your brand voice and tone and generate the content that matches it. So this is how the sound is working into the Jasper. The last one is Muff AI and it's the powerful AI voice generator that helps to create realistic sound voice over your projects. So it uses machine learning to generate AI to work its magic. So these are some five of the chosen AI tools. However, there are ample number of AI tools for you out there and you can use as many as per requirement. You can create codes, you can create images, you can create anything that you wish. So as I said that creating videos would be so interesting with the help of the text. So I can also share one example which is there on the Sora website. So I'd like to share that with you and just the moment I'll take you to that here. Please let me know if you can see this. Yeah, it is visible. Yes. So introducing Sora a text to video model. Sora can generate videos up to a minute long while maintaining visual quality and adherence to the user's prompt. So you can see that this is one of the videos and the prompt for it was a stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage.  So this is the prompt and you can give n number of prompts like, you know, in a desert I find a lion and with so and so features.  So as you can see, this is how Sora has come into play and it is by OpenAI. The next model as you can see the next prompt that you can see is historical footage of California during the gold rush. So you can see the efficiency of this model and how it can transition so many jobs from a sector to a totally different sector.  So you can see that this SUV is going on a road and you know, this is how it has read the text. It has processed the text and it has given this particular video based on a lot of readings it has done. So as we know, video is a collection of images. So a lot of images were fed and hence the videos got generated and this is how it works. Alright, let's get back to the slide. So the limitation is one minute, right? For this kind of videos. Okay, sorry. Now, since we have had, we have seen how many tools are there for the Generative AI. We also have to look at the concerns that Generative AI has gotten us to. So with Generative AI or other any destructive technology, it's important to understand its limitation and causes for concern. So here are some main concerns that we have chalked out. One of them is the misinformation of fake content. Now, there's a possibility that you train your model with the fake content. It's very much possible because how will you verify the content? That is the question. So if you are able to verify the content and feed your AI model, the respective training data and training, you know, content, then the model will replicate it and visualize it and, you know, execute it with the help of different technologies that it has been filled with. And then it is going to give you the output. So it's better to be very much confident about the data that you are feeding your model with. Secondly, the content audacity, the content, you know, we have to be very much verified with the content that we are using to train our model with. Second problem is hallucinations. This is when we expect a response, but we do not get that desired response. So Generative AI is another form of prediction only and sometimes predictions are wrong. So predictions from Generative AI that diverge from an expected response, grounded in the facts are known as hallucinations. So as you can see that diverge from the expected response, that means they are not giving us the desired response. They are giving some prediction which are not in alignment with the expected response. That's when hallucinations happen. Then you have plagiarism. As you know, it means the copying of the text and you know, you are using somebody else's content as your content. So this is one of the prominent doubts, the prominent problems and concerns that we have to deal with while we are training our model with. Or we know that the model is going to replicate that sort of, you know, data and content. So if you are wanting to avoid such kind of plagiarism and any other concern like this, you have to be very careful about the training data that you are giving the model with. So LLMs and AI models for image generation are typically trained on public publicly available data. There is the possibility that the model will learn a style and replicate that style. Businesses developing foundational models must take steps to add variations into the generated content. Or either you give the enough credit to the content creator. That's another possibility. But plagiarism is one of the major concerns that we are facing today. Now, as I told you that generative AI is capable of generating a lot of images also. And a lot of images with really human sense into them because you have seen a lot of deep fakes are into trend these days. I don't want to name any, but you know that a lot of deep fakes are coming. Now that is called user spoofing when we use illegitimately any image to create a profile or a video related to the person. And since we can create a lot of realistic image, it is very much true that we can create an AI generated profile to have a conversation with the real users, real time users. And a lot of other things can happen because obviously emotional sense, mental harassment can happen. Emotional challenges can come up. So if you have to avoid such type of things, then you have to be very careful about the user spoofing. So let's just have a read if it is easy to create realistic images. It is even more easy to create a deep fake profile which is an AI generated fake profile. Fake users like this can interact with the real users as I already mentioned in a very realistic way, making it hard for businesses to identify both networks that promote their own content. So this is again the major concern. Then you have sustainability. Now I'll tell you how sustainability has got a major role into this AI. As we know that we are creating heavy models and they require a lot of electricity, a lot of other technical requirements are there like GPUs and a lot of computing abilities we require. And every electronic equipment has to have electricity, electrically charged. We cannot have any alternative for it. Of course there are solar energies and solar power plants, but again, the renewable sources have to be in compliance with the rise of artificial intelligence compliance. So when you are using the AI models and you are training them, there are a lot of computing technologies that you are using. And since there are a lot of requirements, technical requirements, and they have to be charged with electricity, this is where the sustainability comes into play. So when renewable sources are in compliance with the rise of the artificial intelligences, then that is fine. If not, then we have to work in that area as well. And the last is of course data security, privacy. That is another major concern that if I want to keep my data not upfront and I want to keep it to a limited people or I have to surface it to a limited number of people, then that is one of another major concerns that we are looking at. So either I am making my company very much protected from the external interferences by keeping the cyber security experts with us or my company is having any major alternative to have a suspect on privacy interference or a lot of other measures that can be taken to secure my data and whatever I am wanting to surface on the internet. So these are probably the concerns that come with the generative AI. So you can just have a quick read of these and understand them because there might be the question in the quiz that you've opted for in the AI associate program. Then we also look at the possibilities of the language models. So since we are aware of concerns now, we also look at the pros, which are the possibilities of the language models. The language models that we have seen, one of the very familiar one is chat GPT. So language models like GPT offer wide spectrum of possibilities like first natural language understanding. Now, how can you think that you are making an application or a model and you are expecting the results out of it? It's not a web application, it's a model.  So this had to understand your language, whatever language you are wanting to type and generate the output, it should understand this. So that means it should have enough information of that language. It should be very much familiar with the synonyms and antonyms for it. It should be very much familiar with the meanings of the words that you are plugging in. Only then can it can answer your queries and answer your prompts. So the natural language understanding is one of the major possible things that we can have through our models and programs. Then we have content generation and summarization. Yeah, sorry to interrupt. I have just one query like we are discussing about language models and in the previous two slides we discussed about generative AI. So can you relate language models with generative AI? So the large language models are what I can say, the usage is the utilities of generative AI. The LLMs that we have created, they use this generative AI, this technology is used in LLMs. So it's the used cases, these are all the used cases of generative AI. Okay, got it. So then we have content generation and summarization. We know that whatever, when we have to think about something, for example, there's a topic which we do not know about and we are wanting to learn about it and we are also wanting to create some presentations and some let's say note takings and all for any of the projects. So that's where it is helping us to do. We are basically summarizing the content, maybe whatever, even though the LLMs are giving us a lot of content there also. So they are helping us summarize whatever the things they have found on the, whatever data they have found on the internet. So they can help us summarize the text. Like as I said that if they are familiar with the antonyms and synonyms, they can interchangeably use these words and summarize a lot of lines. For example, a chunk is there and 150 lines I have to write in 50 lines. So yes, LLMs are capable enough to summarize and give you the conclusion of whatever 150 lines you don't want to mention and don't want to write into your project. So this is how summarization happens. Then you have conversational AI. I'm pretty sure that whenever you are opening any kind of technical site, there are boats that appear. There are boats where they are wanting to know what are your requirements. So every technical website is now coming up with this utility of interacting with the users, irrespective of whatever the time is, whatever, maybe my company is from the United States and you are somewhere in India and you are wanting to know about my company's profile and all. So you are just typing in the text and my boat is capable enough to give you the answer that this is what we do, this is what we generate. So these boats are the used cases again where conversational AI is one of the major possibilities that I can see for the generative AI. So language models, powered chat boards and virtual assistants enabling natural and engaging conversations with the users. Otherwise, I have to hire human beings for conversation with the different leads that I may have a perspective relation with. So my lead can distract if I do not give them either a boat response or a human response and then I should hire a human being for just normal interactions. So I would rather go for a boat or a virtual assistant where you can get help from. I'll give you one example from the, let's say there's a bigger bank which is HDFC and you must be having an idea about like whenever you lower one to eight so there are some boats and assistants that help you with what do you want, what is your query, do you want to opt for this what do we call means any kind of basically their services that you want to opt for, life insurances, saving bank account, current account, whatever you want they'll give you the direct information there and then so these boats are of too much importance and if we improvise their capacity, their skills of having a conversation then that means we are making quite a great growth in the usage of the generative AI. Then you have language understanding in context. So advanced language models like GPT excel in understanding context and generating coherent responses that are contextually relevant. We have discussed this, I have made you understand this statement already. Then comes the research and innovation. Well, yes, in research and innovation too, there are a lot of departments where we have to have a 10 minutes discussion or 10 minutes GPT session where you can use these chat GPTs to get the desired information in a minute. You'll be having a lot of content in front of you and then you can brief a lot of content and take the content from it, put it in the GPTs and have a brief about whatever you think is your research topic is. So research and innovation again has got a lot of possibilities when you talk about the native AI and then you come to the education. So of course many of you now must be in the colleges. You must be preparing some lab records and you must be preparing the notebooks, the tutor books, whatever you have. So of course when we have the last day of submission, most of us, at least me, we used to have this information from a lot of different segments. However, chat GPT has made these tasks pretty simple and pretty easier because we can access so much information at just a place and I can type in that this is what I require, get me the readings of such kind of experiments, get me the execution part of this code, get me the algorithm for this. So it becomes very easier to maintain the lab records before time. And of course this wasn't something that when I was in the college so it is a huge drawback but now since it has come I believe that you are making good usage of this chat GPT in your education sector as well. So language models can support education by providing personalized learning experiences, generating education content and assisting students with the language related tasks. Last you have guided image generation. So chat GPT though has not been capable enough of generating the images but there are a lot of AI tools that can do it and LLM can be used to tandem with image generation models so that you can describe the image you want and AI will attempt to make it for you. So other applications, there are a lot of applications where you can plug in your requirement of the image that this is the image that I want. I want an image of Romeo and Juliet. So of course this model is capable enough of searching and give you the best of the images possible and hence this is how the generation of images happen when you type in the text. These were the possibilities of the language models. Then we are coming on to the part where we have to learn about how the Genetic AI works. Before we start, can you go to the trailhead so that you can showcase these topics which you are explaining to the viewers. So they are actually part of AI associate program. So guys, there are one module available which is based on generative AI basics. So lots of theoretical information is already available on trailhead which Nikita is explaining to you. So if you want to read more, you can go there also and if you want to prefer listening and explaining things by someone, so you can watch these videos. So just wanted to have your catch like these are actually related to AI associate certification. So for clearing that certification, you need to know the generative AI basics that Nikita is explaining to you. There is a quiz that we would like to take after we are done with this slide that we are doing right now. So it's like let me just finish this up and we are then going to take up that quiz that is there in the sheet of trailhead. So how does generative AI work? The first and the foremost thing is the creation of the model after the model has been created. We need to train it with the required data. So we need to first collect the data. The process is called data collection or pre-processing and we need to have data which is not plagiarized data or it doesn't have any fake content. That's what we have to be careful enough. So before you train the model, you have to rectify the content with whatever you are training the model. Then you have model architecture and selection. It's very, very important to realize which model is best for this kind of work that you want to make it do. Because there are a lot of models available and there is a huge capacity yet to create another set of models. We have a lot of opportunities in this segment. So that's why the data science and artificial intelligence segment is too much hot talks today. Then you have the training the model and generating new content. So once trained, the generative AI model can generate new content by taking either random noise for GANs, a specific input or for VA's or autoregressive models and transforming it into output that resembles the training data. The generated output can be in various forms such as images, text, music or even desired scenarios. GANs is a very, very important topic. So generative adversarial networks and this is what we are going to do in the coming up lecture where you will again face a quiz based on this one. Then you have evaluation and refinement. As I said, the rectification is very, very important. The generated output is evaluated based on predefined criteria such as realism, coherence or relevance. Depending on the task and application, the model may undergo further training or refinement to improve its performance and quality of the generated content. So refinement means once the model has created its content, it's in the beta testing thing. So there the human capacity works is to see whatever shortcomings are there in the data or whatever generated output is there. And then we reiterate the process in order to get a desired output. And then you have deployment and application. So once you deploy, you need to see the issues that are related with the deployment and application thing. So once a generative model has been trained and validated, it can be deployed for various applications depending on specific tasks it was designed for. Every task comes up with a different utility and you have to generate a model that is based on that utility. So this is the specific thing that you can take as the outcome of this session. So this concludes or this could include creative tasks such as our generation, content creation, more practical applications such as data augmentation, drug discovery or personalized recommendation. There are a lot of utilities, a lot of applications and usages which you can dive into here. We have to be concise and crisp. So two, three applications we can just include. However, there's a vast pool of possibilities as we detailed. So let's get on to the quiz that we have on the trial head. Okay. So do we have anything after this quiz or this is the last activity for today's session? There are two quizzes which are the summarized form for this. So we will end the session after the quiz. Okay. Perfect. Okay. So here we go. What is it called when AI interprets everyday language? How is AI capable of interpreting every language? It's because of the fact of natural language processing that it has dealt itself with. And hence we can mark this up because as I have already mentioned that while explaining the slides to you that we need to have language, natural language processing because every area has got different, different languages. It has to process those languages and get the shortcomings rectified and then probably deployment and application happens. So natural language processing should be how the AI is interpreting everyday languages. Then you have, if you ask a generative AI what its favorite color is and it responds blue. This is an example of what? Now the models are not having enough capacity to have an opinion on something or be opinionated. So they do not have or they don't come with any opinions of their own self of course. And then you have randomness. Now randomness is a guess. Now any model if we are making, we won't have to generate any model that has a limitation with making guessings and randomness. So we have hence got prediction as a desired answer for this. And it is also mentioned over here that generative AI is capable of. So now that you have an idea of what generative AI is capable of, it's important to make something very clear. The text that is generative AI, the text that a generative AI generates is really just another form of prediction. So it's very, very important that you know that whatever is happening is the prediction that is happening. But instead of predicting the value of a home, it predicts sequence of words that are likely to have meaning and relevance to the reader. So hence it is the prediction that is happening. So if you ask a generative AI what is its favorite color and it responds blue, this is an example of prediction. Let's see. Yeah, both of them. When you can just read the reason also over here, natural language processing is the ability of a computer. And in this example, more specifically AI to understand human languages as they are spoken and written. And then you have for the true false. So the text that generative AI generates is really just another form of prediction. As we read, it was detailed about generative AI predicts the sequence of words that are likely to have meaning and relevance to the reader. So this is how this unit gets finished. And then we move back to the next one. We have understood the ecosystem of generative AI, though you can have a quick read of it. And then you can attempt all by yourself. Let's do it today over here. New AI model, architecture and availability of extensive training data are two factors in the rapid improvement of the native AI. So they have mentioned the two factors, which are model architecture and availability of extensive training data. These are very important. But what is the third factor which is very, very important? Let's go through the option choices. So is that increased parallel computing power? Is that AI optimizing AI code? Is that larger data storage capacity of the servers? Or is that faster satellite data connections? So if you can see larger data storage capacity of the servers, we already had means it was not a thing that would affect. Of course, we need a significant storage value also. But beyond this, there's also a thing which is another major factor. So it doesn't count as a major factor, but there is a major factor which is the power of computing. If your computing powers are, you know, if the technical powers and your technical equipments are having enough computing powers, then this can make the process faster and more efficient and more optimized. So hence, we will choose that increased parallel computing power is one of the options that we can or factors we can vouch for. So here you go. We'll mark it up. And then you have two of us. So developers must create their own LLMs in order to add natural language processing to their applications. Now, if every developer comes down to create their own LLMs, then there is possibly the problem has not been solved. And you have created a much more problem than there should be a solution of. So we don't think that there is the requirement of so many large language models that the developers have to create their own LLMs. I think there are enough LLMs that the developers can use an outsourced offer. So I think we can go with the faults. And let's check how does this go. Correct. Yep. So I think with these explanations, both the both the quizzes are solved. So yeah, you you want to cover the solutions as well. Yeah. So as I mentioned that increased parallel computing power is the most another most important factor that generating AI has to be, you know, fueled with. So it takes a lot of processing power to do the math behind the AI modeling model training. And we discussed these topics discussed this specific topic before also that you need to have a certain mathematical sense for execution of AI models. The transformer architecture relies on many separate concurrent calculations. This architecture increases parallel computing power as it allows one computer processor to do the first calculation while a different processor does the second in the same time. So we need to have a processing unit which is faster enough, capable enough, optimized enough to get the desired output. And the last one developers must create their own LLMs. So it's not a requirement. There are multiple available LLMs that I already mentioned that you can outsource and get the work done so that developers can use to add natural language processing to their application. And this is how it's done. I think that's it for the day. And you can please read it from here. And if there is any problem, you can please mention in the comment section. We are happy to solve. Yeah. Thank you. So I think this is the part one of the generated AI. And I hope it is not completed. So in the next session, you will be covering a few more aspects related to generating. Yes. Right. It was just one part of it. So we have generated versus predictive AI. Okay. Yeah. Yeah. So if you have listened everything, whatever Nikita explained, and if you want to join the next session also, if you like the content which we delivered here. And if you understood, so I think you will be able to relate the part two as well. And I think generative AI and predictive AI both are very much important, not in terms of like, if you are focusing on associate program. If you if you are like, like in the tech industry, then also you need to know like how they actually works. Right. So if you are like learning for associate AI certification, then these are important. If not, then also for your general knowledge, these are also important. Right. So if you have gone through with this session, either joined live or if you are watching the recording. So do watch other parts of generative AI so that you can understand it end to end. Right. So I think yeah, we can wrap the session here only. So thank you, Nikita for sharing your knowledge and sparing some time. So guys will be welcome. Yep. So we'll be having one more session on Thursday, like after tomorrow. So join that session also so that you can gain more knowledge around generative AI. Okay. So with this note, thank you so much for watching this session and see you in the next session. Thank you. Bye everyone.


In this module, we would look at another example of application of Musharaka as a mode of finance in the context of Islamic banking and finance. We started with the application of Musharaka in Islamic asset or Islamic fund management industry followed by the application of Musharaka in Islamic retail banking. And today, we are going to look into one example which comes from Islamic capital market specialty on the bond side. Islamic bonds sometimes recall is Sukuk as Islamic bond. So, Sukuk Musharaka is a capital market product that allows governments and corporates to raise funds from investors of various type. So, these investors could be individuals, they could be corporates and of course, they could be banks and other financial institutions as well. So, Sukuk is a capital market product, capital market to refresh your mind. Capital market broadly can be divided into fund management, investment, fund management and the bond market. In case of Islamic capital market, it comprises Islamic asset management industry and the Sukuk market. So, Sukuk Musharaka is an example of application of Musharaka in the context of Islamic capital market. Sukuk in general has numerous structures and one of the most popular ones is based on Musharaka. We would study later the most popular structure of Sukuk which is Ijara. However, Musharaka is also one of the popular structures used in Islamic capital market. So, Sukuk Musharaka may have very complicated structures, but we shall explain rather a simple structure of Sukuk Musharaka to exemplify use of Musharaka as an Islamic mode of financing in the context of Islamic capital market or in general Islamic banking and finance. Now, Obligor is a party which is actually looking for additional funds. It could be a corporate, it could be a government or it could be any other business. So, this party wishes to raise additional funds for the business purpose, for the expansion of the business or for working capital financing whatever be the case. So, normally Sukuk issuance will require identification of a pre-existent asset that must be used for the issuance of Sukuk. The beauty of Sukuk Musharaka is that it does not require pre-existence of an asset before the Sukuk issuance or the Sukuk certificates are issued. So, Obligor as step one sets up a special purpose vehicle, we call it SPV. SPV is actually a company which does not have any business of its own, it does a special purpose. It is set up for a special purpose. In this case, SPV actually manages the Sukuk assets on behalf of the Sukuk holders. This could be set up in an offshore jurisdiction, Pakistan may offshore companies kaffee badnam hui hui hai. However, most of the SPVs in the context of Islamic banking and finance and in the context of Sukuk factoring they are actually set up in an offshore jurisdiction, primarily because setting up this SPV in an offshore jurisdiction would offer tech benefits to the Sukuk holders. So, once this SPV has been set up, the job of this SPV is to issue Sukuk certificate. So, it issues Sukuk certificate and the investors they buy these Sukuk, these certificates and they contribute money into the Sukuk. So, the funds come to the SPV and of course, SPV puts those funds into a segregated account in an account with a bank or with the many banks depending on the size of the funds coming into the Sukuk structure. Now, because this is a Sukuk Musharaka, then these funds contributed by the investors, they are combined with the funds contributed by the obligor i.e. the party which was looking for additional funds to start for example, a new project. So, with this structure you can see that there are characteristics of Musharaka already becoming visible. If I try to ask you to memorize the things, there is a concept of Tirkatul Mil and Tirkatul Akht. In one example, we highlighted Tirkatul Mil and in another example previously, we highlighted Tirkatul Akht. Now, investors actually in this case amongst themselves could be subject to the rules of Tirkatul Mil. They become Kirik, they become partners not by way of any contractual arrangement, but just by their act of putting money into a joint pool. However, obligor and the fund, obligor and the fund, they could be considered as subject to Tirkatul Akht. So, this is already a visible form of Musharaka. Now, the funds are there and the project gets funded and if there is any return, that return actually goes to the two partners, two major partners i.e. the obligor and of course, the investors they get their share in such a way that the share going to the to cook investors is equivalent to the indicative rate of return. If it was 3 percent, 4 percent, 5 percent, only that much of the return would be distributed amongst the investors and if there is an excess there, that would go into an excess fund. So, excess return would be put aside or this can be reinvested in the project alright. Now, once the to cook period ends, in that case, the to cook is actually redeemed. This project is sold to the obligor for an agreed price and this price cannot be pre-agreed because this is an example of Tirkatul Akht where a pre-agreement on the final price of the project is not allowed. So, whatever is the price agreed at the time of the end of the to cook period, that price comes to the fund to cook fund and that is then given back to the investors as their initial investment. So, during that period the investors as joint owners, they would get shares in the return on the project on a pro rata basis and of course, they would be general distribution of returns between the obligor and the investors as an investors class. So, this is one example of application of Tirkatul Akht and implicitly we have looked into Tirkatul milk as well.


In the Philippines, Operation Damayuan continues. A medical team saw wounded Philippine citizens in Guywan, November 17th. A physician assistant and two hospital corpsmen from USS George Washington hiked through the village to record casualties and see what medical provisions were needed. The medical team assisted the Philippine government to see more than 85 injured people. This was the first team to arrive in the village to provide medical aid and supplies. In Washington, D.C., Chief of Naval Personnel released more information on benefits for same-sex spouses. There are 20 benefits you and your family may be eligible for. A new NAV admin said members should refer to the Don't Ask Don't Tell repeal page on the Navy Personnel Command website to see the fullest of benefits for you and your family. Read more about these stories at navy.mil. From all hands update, thanks for watching.


You got all that straight and leave that away Where's the envelope my dear Why'd you want it because I don't know what's gonna happen to me now? I've got some bonds here and my well it ain't much but I want to take care of you By now the cops must have orders to shoot to kill Here this won't take a minute just a few signatures, but how you're gonna get out of it George? I'll find this guy Franz Carol II can't you explain to the cops you think they'll buy a story like mine I Don't know here take these bonds and keep them in a safe place. They're as good as cash now But how you're gonna find Carol II I don't know But you can find a man if you want to What's that? Well clipping just a lot of rumble clipping. Yeah George when did you have that breakdown in the spring of 1940s here before I married you? Why they never did tell me much about that and there wasn't much to tell Why are you asking me about it now? Because this clipping is dated 1940 May 7 so what? What's the name of this guy you picked up at the cemetery Franz Kirlie? Oh? What's matter? Listen to this Services were held for the late Franz Kirlie who was buried in Wolfbane cemetery this morning The deceased was killed in an automobile accident two days ago. I'm sure clipping here Wolfbane Yeah, now. I know I was always so scared of that place What are you talking about? It's funny that tricks your mind can play Do you know why I clip this out of the newspaper? No It happened just before my breakdown. I Hit a guy's car The car broke into flame The guy was killed. I was so scared for the whole thing. I never told the cops That's why I had to break down but what about the guy Franz Kirlie It's the same name Could it be the same guy sure could be the same guy who came out of his grave The clipping gave me one tip it had the name of Franz Kirlie's brother It wasn't easy, but by the next night I found out where the guy lived. I Wasn't taking any chances now. I had a gun when I got to the house I heard Kind of queer music Somebody was playing the piano. I tried the door. It was open Who is that who came in don't get up to the piano Oh They're gone. You were alone Yes, your name is Istvan Kirlie Yes, you are a brother named Franz Run yes Where is he? Runs died 10 years ago in an auto accident. He didn't die. I Want to know where he is? I don't know what you're talking about or what you are after I am a sick man with a bad heart.  I just want to know where your brother is. I told you he died I couldn't have died Who are you? Take a look this evening those people police search for homicidal truck driver Who killed? Eleanor Imre your brother killed that woman. That's why I've got to find him Well, I killed Eleanor. You know who she is She was the girl. He was going to marry. What else do you know about her?  He was burned to death. I Talked to him. I tried to stop him, but he went out And now ten years later She's murdered what kind of a story you handing me the truth Why should I lie to you? I would know Have you heard anything from your brother? How could I hear from him? He's dead You have a picture of him There on the piano Yeah, that's him Wait a minute There's something in this picture Your brother Had a finger missing on his right hand. Yes, it happened a long time ago in Hungary He cut his finger on his eyes. I listen was it really your brother who was buried in Wolf Lane cemetery? Yes He was burned to death who identified the body. I did. You sure you didn't make a mistake I'm quite certain you'll clue me alone. I'm sick Okay You can go back to your piano The stores hadn't closed yet, so I bought a pick in a shovel through them in a car I rented and drove out of the cemetery It took a little time to find the grave There was a half moon in a cloudy sky and I began to dig It was hard work and tough Going but soon I hit board I grabbed a pick and crashed it through the rock If I could show this wasn't France killerly If there was no finger missing I could go to the police and prove that this guy who was supposed to have been dead for 10 years Was still alive. I Spruck a match and look one of the thing is was missing The third one of the right hand The same one that was missing in the picture and then I heard it The limping footsteps of the man who had been dead for 10 years For a moment my heart seemed to fill my chest beating there like a big bass drum And suddenly I knew what to do. I yanked the gun out of my pocket swung around I saw him there outlined in the yellow moonlight. I fired Don't move you understand don't even try to move My chest you've been wounded. They too bad. Where are you taking me to a hospital? They won't make it. You'll make it.   Why'd you frame me? Because you had a breakdown You were the right person to frame Because I wanted to get even get even for what an accident 10 years ago and then you weren't killed No, what about the body in the grave? His name was Lane Richard Lane He was in the car with me 10 years ago He'd gone too far with Eleonora. I was taking him out to the cemetery for a showdown when your truck side swiped us Was he killed? No He was been behind the wheel unconscious. I was thrown clear of the car. I saw my opportunity I left certain things that could identify me. What about the finger? I took care of that while it was out cold Then you said fire of the car. Yes. Why?  You noticed my leg?  I'll make you tell them what you told me I'll be dead when we get there. Huh? Do you think I'd tell you all this? I didn't know I was going to die. All right, even then I'll still be able to prove it With your brother you saw him tonight.  Yes, one won't say a word He's dead Dead Heart attack I should have warned him. I was coming. I hadn't spoken to him for 10 years I didn't know about his heart You can't sign you've got to live You've got to prove to them that I'm not insane that I know I'm talking about I wish I could move Eleonora I realized the spot I was in They had me tabbed as a homicidal maniac It would look great if they found him in the car It would sound great if I tried to tell them the truth So I stopped the car and I dumped him out and hid the body behind some bushes I kept on driving for four days I hide a room in this house where I'm writing this So you'll know what happened May For a week I've done nothing but sleep But last night I was awakened by the sound of footsteps And the room above mine I recognized them They were his Somehow He's come back again Well, lieutenant, did you read the letter I received from our husband? Yes, mrs. Giddon, and uh, I don't know what to make of it exactly Why what do you mean? Well this morning we received word that your husband is dead He died just as he predicted in an automobile accident And as for france carolee as far as we know He died 10 years ago And we can find no evidence that he's alive I guess george finally ran out of gas Because there's nothing wrong with him that couldn't have been cured by doing a valve job on his brain George was the kind of guy who cut off his nose despite his face He should have cut off his whole head and had no further trouble Which brings us to the moral of our story taken from the roman philosopher corpus delicatessen who wrote The one thing in the world that's easiest to get into and hardest to get out of Is not marriage It's a gray Say did you ever want to take your thumb and punch in the bottom of a chocolate covered candy just to see what's inside? Of course you have some you like some you don't So it's just natural to want to know what's inside So let me tell you what's inside the mars coconut bar smooth pure dark chocolate delicious dark chocolate spread on thick and inside of that The finest philippine coconut the very best And when you bite into that delicious coconut freshly shredded juicy rich You'll say now that's coconut the way i like it Yes, take pure dark chocolate take the finest coconut and take mars candy making magic And that's the mars coconut bar The candy bar for you to take to really satisfy your deep down crave for coconut And now once again our host Tonight's story was written by milton louis and starred ralph bell in the role of george peter capel played frown Music was by lou white. This monsignor sanctum mystery novel is Until you are dead by henry kane the entire production of inner sanctum is under the direction of hymen brown Well friends It's time again to close that creaking door until next week at this same time When we'll be back contracting for a neary earful called the death proposal It's all about a young wife who wants to age her husband in the woods Pinewood that is This is a tale where feelings run deep About six feet Oh You'll be sure to listen in next week when we Dig up the plan Until then Good night The This is alan z anthony reminding you that it's the mars coconut bar that really answers america's crave for coconut And that it's the mars coconut bar that brings you inner sanctum And do you ever listen to marlin night over most of these stations at 8 p.m. Eastern time to can you top this? Or to you buy snickers another fine candy bar by mars Where they believe that faithful quality makes faithful friends this program came to you from new york This is abc the american broadcasting company


Mike Dawson, founder of Global Garden Friends, and I'm going to show you one of our newest products is the Ultimate Trellis Clip. It works on our poles, the thicker pole out of the two, and it just pops right on there, and so this will go up and down. What this does is it allows you to add stability to your cage so when your plants get heavier it locks the poles in. So it's adjustable so you can lower this if you want to for lower branches so they don't fall out. So pretty much all it is is a trellis clip. Clips right on and allows you to train your plants or strengthen up your cage and it comes in a pack of 12.


Everybody forced here ripping 2022 top triple threads baseball hobby 18 box full master case number 23 random division style results can be found anytime the late in sports cards calm Good luck everybody. Let's go ahead and get started. But Bron and you honest or captain's for the all-star game again All right, let's get these open open everything at once here Sounds like a good use of space to me All right, here we go Investing diversification. Yeah, that's how you do it right there That's how you do it. All right, here we go everybody All right, so 99 George Brett for the AL central into 259 Hosea al-Tuba al West Triple jersey or triple relic will stick a terrace for the NL central game used the 36 Sibling stars and a rookie auto over the NL central lars new bar 69 of 199 Torkelson rookie Xander Bogarts to 125 AL East Two of 125. That's Jersey number actually Nice sander to 199 Alex Bragman AL West Triple Jersey rookie auto NLS Seth beard to 99 nice beer And Jersey card Miguel Cabrera for the AL central the 36 To 125 Shane Bieber AL central to 99 Frank Thomas AL central triple Jersey rookie auto AL East Josh Lowe to 75 And a Jersey card of Yordon Alvarez Astros AL West to 27 Player worn. Do you guys think you hit the most home runs this season? Most home runs in the entire majors Donnie says Aaron judge to 299 Garrett Cole AL East into 150 Ken Griffey Jr. AL West Mookie bet triple Jersey bets stats to 36 for the NL West all game used and Jeremy Pena rookie auto 30 of 50 AL West Let's see with the sick hit World Series MVP as a rookie Jeremy Pena I Drive and it's kind of these are a little bit more lighting her up. Come on now. What we doing Bruins The Astros Little peel on that penny. I will send the box for the Astros Jose Ramirez gonna hit 50. That's a lot of homers for anybody Cruz Turner buzz to 150 Coworkan jr. AL East to 199 Jaren Durant AL East Triple relic Mike trout unanimous rookie to your enemy P to 27 AL West All game used in rookie auto NL West Andre Jackson 39 of 75 To 99 Clubberto Clemente and Al central and to 259 Frank Thomas AL central Byron Buxton AL central buck is the triple as a die cut there triple relic one of 18 In AL central Yeah, we talked about it. That's card Joey Gallo two of three AL East game used The legal says you're on and Christian Walker The legal who's gonna hit the most home runs on the Phillies this year. I think it's gonna be Schwerber to 259 for the AL West Nolan Ryan and a 299 Ronald Acuna jr. NL East Edgar Martinez AL West October sucker triple relic auto to 27 all game used and Jumbo Jersey Anthony Rizzo AL East to 27. Oh, yeah, Bok. I didn't realize that was for you. I did I Didn't he wasn't even paying attention. That's awesome and congrats Happy to happy to always happy to pull something for someone that actually said that they're looking for is what I'm trying to say But shut the 299 AL East and a 125 Ozzie Smith NL central Brewers running and walking Christian Yelts to 27 triple relic and NL East braves triple threads auto single jumbo relic redemption of Dan's V Swanson Yeah, maybe cast the honest how I mean Harper is it is supposed to be out a while So obviously that eliminates him from contention for the most part He just had surgery the offseason he's probably out for a couple months into the season Is that a time table legal a couple a couple months into the season for Harper They both are 259 Mariana Rivera AL East and it's 252 99 Babe Ruth AL East. Oh That's nice Julia Rodriguez Jared Kalnick and Kyle Lewis triple game use relics to 36 You AL West and rookie Otto Stephen Kwan on card to 199 AL central There we go AL central it's 125 20 Gwynn and Al West and the 199 Corbyn burns NL central Redemption Salvador Perez triple threads auto relic card for the AL central and Jersey card Alec Manoa to 36 for the AL East Player one Larry bird necks and a Rodman. Oh, oh, no Paul you say to work Never say it work It's full of booklet in this In this case you didn't pull one of the in the previous breaks tonight 75 NL East to Grom into 299 Paul Goldschmidt NL central Triple relic rookie auto to 35 Nick Fortes NL East Jersey card Peter Lonzo NL East at 48 to 150 Austin Riley NL East into 190 90 aprams NL central All right, this next one going a big swick What a one Nike swoosh Paul Goldschmidt What a hit beautiful Swoosh and two other patch cards.  There you go, buddy That is filthy Yeah, NL MVP In Jersey auto Alex Kiroloff AL central the 75 while talking about a book that's That's better than a lot of books right there for the book got a movie I'm still feeling a book somewhere in this case. We're only you're only a third of the way through 75 Freddie Freeman NL West into 299 or 259 Shane Bieber AL central Matt Olson triple relic NL East scoops it first 36 game used Jersey auto NL central brain of woodruff player worn to 50 got an ad for So 150 George Brett AL central to 99 Shane Bieber AL central Rafael Devers triple relic auto 4 of 9 There he is AL East 11 years Gotta love it two homers and six RBI times to Yeah, we'll make that Jersey to 48 Hosea out to be AL West game used nice Mike. That'll be awesome And is that on the bait? That's on the Baseball channel or is that over here? I'd be a fun one though pristine and finest Any huge IMAG basketball. I just I didn't rip any IMAG basketball yesterday. I'm sure we did I make I think you guys like a case Take a look back at the group chat and kind of see if Sam posted any photos Do you guys even do I'm Yeah, there was no I'm at yesterday we did almost X Yeah, there was no immaculate basketball yesterday. We hit a bunch of stained glasses What I think Red Sox finish AL East Um Probably like third or fourth So 299 Ernie banks for the NL central to 125 Ricky Bryson Stott and at least Triple relic Trevor's story to 36 for the AL East game used And Jersey auto Austin Riley to 75 for the NL East Yeah, if it's Friday evening, it'll be over here Victor. Hello 299 Hosea Al tuba AL West and a 25 Ty Cobb AL central AL central White Sox triple threads auto relic card sapphire parallel Louise Robert Tim Reigns Eloy Jimenez That'll be to three I'm pretty sure it's gonna be three Scott F. AL central That'll be disgusting when you get that and Jersey card. I like when Noah AL East 18 Yeah, I just think the Red Sox be one of those teams. That's like decent like they've got a good bullpen I think their offense will be okay. I Think pitching will be all right. They'll probably Either barely make the playoffs or like just miss it by like a few games or so But I don't expect Red Sox to be like a bad team Kind of similar to last year, I guess so really it really depends on like is the rest of the vision gonna go crazy again I don't know. I think blue jays and Yankees for sure finish above them Raising Orioles. I don't know right like those are like the Three teams like I don't know Orioles were young so they could There's there's a big range with the Orioles they could go way up or go way low again, I guess To 150 Mike Schmidt NLE send a 50. Jose Ramirez AL central Orioles rotation isn't good either. So triple Jersey auto to 50 Jonathan India NL central I think judge should have gone wherever he was gonna get paid Jersey card Blake Stelva 27 and L West game used Yeah, it's pretty tough. Yeah, I think third or fourth. I don't think the Red Sox are last place Not again anyway, even though like them being a last place team last year is kind of deceiving because they still have like 80-some-odd wins like As far as last place teams go that's pretty good But still last 75 Max Scherzer NLE send to 259 Jay Ramay L central Triple relic Nato to 27 and L central hot corner. It's up Tim and Redemption fill the Zach Wheeler triple threads auto single jumbo relic emerald parallel And at least Phillies Yeah, Guardians are gonna be good I think Guardians probably win that division again. I guess The White Sox always have that potential. We'll see how that how that how the offseason moves Have helped out and how they're pitching can shape up because they got some pieces, but Have they always put anything together yet? Twins can make some noise. I guess I would expect Cleveland win that one again though Orioles aren't ready and the Tigers AL West Rangers might be able to make some noise, but it's pretty much Astros probably win Mariners might keep it close Good could sneak could sneak by him and win it. I don't know It's one ninety nine hunter green for the NL central at a 259 stand musical in our central I guess the angels have the potential they got it. They got to be good ones. See they got to be good once right at least some time McCutcheon NL central to nine grand and Philly triple relic and Jersey auto Zach Gallin to 50 NL West 400 a box Fear the end 400 a box on triple threads All right, so illusions is sold out. There's still 70 going contenders everybody Yeah, I've child can stay healthy and some of the things you come together there I think the angels the angels can be all right if their offense gets gets better that they have a chance Holy Rodriguez at 299 AL West very nice and Peter Lonza to 150 NLEs Triple Jersey Rookie Auto AL West to 75 Redemurs NL West Jersey card Micah Stremsky to nine. It's almost it's like fantasy baseball season now, too Getting there spring training starting up soon first period over 747 50 already Soto to 299 NL West and a 99 Jose Altuve AL West Yeah, I'll join it illegal is it kind of the same is it the same like format triple relic Rafael Devers AL 36 100 by 25 And Jersey Auto cabaret Louise to 99 NL East like settle like a weekly lineup type thing Clemente at 259 NL central and Shane boss AL East to 299 White whale Ronald Acuna junior printing plate triple patch auto one-of-one for the NLE East Sprint and barrel great patches great card Mark D Jersey card NL central will secretaries to 36 ask him tomorrow during the day if you can Or I can ask him tomorrow to To 150 AL West Reggie Jackson and a 199 AL central Jose Ramirez. Oh, yeah, that's my idea. It's gonna do Miguel Cabrera 10 of 18 triple relic auto AL central now a Few spots hitting really well 3k hits 500 homers 600 doubles That's a mag as well Jersey card Jacob DeGrom and at least a 48 Game used I don't have any word on a block. Well, it'll be after the Super Bowl mixer. I'm sure Hopefully coming up soon Molina to 299 NL central the 125 Ryan Sandberg NL central I'll send a text here in a second find out Aaron judge the 36 AL East triple relic 152 games or five 52 games 150 homers Rookie Jersey Auto Gavin sheets to 99 for the AL central Cabrera's cut long by a bit. So it'll have to go on a topler instead of a mag Well, what was the title coca? I can only imagine Yeah, so that crazy bat flip you did he went crazy to 299 mark McGuire AL West and did 150 rookie Bobby What junior AL central triple relic Yachty Molina NL central to 18 14 865 put outs. Okay, and Jersey auto Ian Anderson to 99 NLE East Says Ronald Cune Jr. Retires from baseball That is literally the biggest clickbait title. I've ever seen in my life Because that one's not even like half true. It just says retires from baseball like like the sport It's literally false Suzuki to 50 Stan Musial NL central to 259 Olin Ryan AL West Triple Jersey auto Jonathan India to 35 NL central and Jersey card Christian Yelich to 48 NL central game used Yeah, I'm gonna all my neck is a ton of fun. All right, so impeccable is at eight contenders at seven Illusions is sold out And personals are also full tonight everybody 299 trade Turner for the NL West so 150 rookie say a Suzuki NL central It was up Chris. How you doing, man? Triple Jersey auto John Smoltz to 27 NL East Read Detmer's rookie Jersey to 18 AL West Yeah, I'm not sure if it's gonna be high ultra high-end or what But it's going to be after the Super Bowl so it should be the week after the Super Bowl mix I'll be almanac to 259 Jackie Robinson NL West to 299 Barry Larkin NL central Triple patch Brandon Crawford two of nine I'll start patch there the event worn memorabilia for the NL West and Jersey auto JTR Muto to 75 for the NL East It's 199 Shohei Otani AL West to 299 Joey Votto NL central I'll be triple relic to 18 for the NL East 30 homers 40 doubles a hundred RBI gal game used Jared to ran rookie Jersey auto for the AL East to 50. I finally watched the first episode of the last of us last Really good like I'm in Never played the games. I never had a PlayStation so Jared come to 259 for the AL West and to 299 might trout AL West Rookie triple Jersey auto to 99 Tony Santee on NL central. That's what I mean buck after the Bengals Eagles Super Bowl That's correct Because that will be who is playing Jersey car will stick a trarist to 18 for the NL central Maybe I'll just get a place. They should just play rematch diversion of it or something That's what I'm saying is like I think The main reason I got a series X was it was available. It was easier to get. Yeah, I got mine. That's true I got mine like early 2021 But all the shortages are happening Snagged one PS5 available, so we just get this about a switch in a series X like this at the same time I love money 259 colors career AL central to 299 chair and ran AL East Triple Jersey auto over the NL or the AL East excuse me to 27 Dave Winfield Winfield winner. So I'm saying Carl Well, nothing come on Bruins. Why the Bruins starts so slow all the time Joey Gallo AL East to 36 Jersey card Game worn to 50 for the NLE Sprice Harper to 259 AL East young Carlos Stanton AL East triple Jersey judge Stanton Torres all game used That's a cool one and and Al central Nico Horner Jersey auto to 75. I like the John Wick movies I'm not like super into them, but they're really good. I haven't seen the third one yet I was gonna watch it last night that ended up watching last of us instead and I don't regret that one bit Yeah, I don't know if I ever made anyone doesn't like John Wick All the books at tonight To 259 Corbin Burns and Al central to 299 Francisco Lindor and at least Triple Jersey Reggie Jackson to 18 AL East Legend die-cut and Jersey auto Andrew Benintendi AL central to 25 The guy that played Mando play Yeah, Pedro Pascal is the lead. Yeah, I forget his name I'm not super into this series. I had the first thing I saw it was last night Joel. Yeah, Joel He plays Joel. It's a great actor So 125 calls Korea AL central into 199 Jackie Robinson and L West Triple Jersey rookie auto NLE's Kyle Muller to 75 And Jimbo Jersey rookie Joe Ryan AL central to 48 and Warren Hillman I wish I would have started watching Barry when it first came out. It's Shows like that are we tough for me to catch up on Barry I don't know 100% But he's like Sort of he like Becomes a hit man or so. I can't I can't see a blame that role good actor. It's kind of like dark comedy a little bit of that But yeah From the that's like the very basic gist of it. There's so much more than that, but right I think I saw the first episode Yeah, here Barry is one of the best out there 29 Rafael Devers AL East and to 75 Bryce Harper NLE's Yeah, hey man trying to be normal. Yeah, you're trying to have like a non 27 triple rally game use Jose Ramirez AL central Thank You Brian Nice Jram there and Jersey Auto max Kepler AL central 1099 I only watch Pedro Pascal shows though I only watch the last of us at Mandalorian Apparently apparently that's all I watch And I'll catch up on bad batch a little bit probably Saturday I'll catch up on bad batch to 259 Ty Cobb AL central to 299 Shane Bieber AL central Triple Jersey auto to 25 Jonathan India NL central And Jersey Card Alex for do go AL East the 48 through a recap bad batch should we get to the point where they're gonna release like I'm off my episode today Yeah, probably important stuff gonna happen and then have to have Two blocks out at once, right?  Yeah, I think bad batch to the people be done by time I thought that it really matters a whole hell of a lot. I mean, I guess there could be something that ties together theoretically Probably not No, it's it's time you two different time periods. It would make sense.  I don't know. Maybe see him. Maybe he makes a cameo be pretty cool Relics Verdugo Jram Joe Ryan dredge Jackson triple Yankees there. That's a cool one judge Stanton Torres Gallo contrarial wills to contrarious Ozzie Albee's Brandon Crawford for the NL West Reed Detmer's Christian Yelich Yadier Molina Jacob the Grom Aaron judge Wilson contrarious Raphael Devers Mike Yastremsky Andrew McCutchen Nolan Aronato Blake Snell Alec Manoa Trevor's story Jose Altuve Yeah, my wife's been watching Yellowstone like had glimpses of it and like the production and like the acting in the story are like phenomenal like incredible But I just I haven't been able to like Start it myself, you know, I've seen like full episodes, but I like the full thing. It's it's amazing. I Don't know how Kevin Costa want to grant me though. He's just I don't know how that that's that's a fix Matt Olson Peter Lonzo Alec Manoa Jarod Kelnick Lewis triple rally. That's a cool one Christian Yelich Anthony Rizzo Joey Gallo Mike Trout Mookie bets Jordan Alvarez Miguel Cabrera, Wilson Contreras People want to move to one. I mean like I get it. But like Like people have known that that part of the country is great for like outdoors stuff It's also a very harsh place to live Anyway, Otto's Jonathan India max Kepler Kyle Muller Andrew Benintendi as a royal Nico Horner with Dave Winfield as a Yankee Tony Santian Jaren Duran JT Romuto John Smoltz Jonathan India Ian Anderson Gavin sheets. Kbert Ruiz read Detmer's Zach Gallin Zach Wheeler redemption for the Phillies the NLE's Jonathan India again Austin Riley Brandon Woodruff Alex Karoloff Nick Fuent, Nick Fortes Nick Fortes Salvador Perez redemption AL Central Steven Quan Gansby Swanson NLE's redemption Edgar Martinez Byron Buxton Andre Jackson Josh Lowe Seth beer and Lars New bar We had that Miguel Cabrera that did not fit in a mag. So it's in the top order with a sticker here to 18 Triple Threads Auto Relic combo sapphire parallel redemption Louise Robert Tim Reigns and Elohim in us for the AL Central That'll be to the three. I believe Had that Raphael Devers triple relic Otto tonight for the AL East Jeremy Pena rookie auto 250 AL West a little bit of peel in the bottom. We're gonna send a box and wrapper To the AL West Little peel in there nice Pena one-of-one Nike swoosh and two other patches Paul Goldschmidt NL Central and White whale one-of-one Ronald Lecunier jr. Sprint and barrel NLE's that'll do it. Thanks everybody on to basketball now


Hi everyone, Shawn with jaspyscasebreaks.com here doing 2019-2020 upper deck clear cut hockey 15 box case break pick your team number two where we have a little bonus where we're giving away two series one hobby boxes sealed to two people in the break where this works how to be entered into the free to 1920 upper deck series one hobby boxes by two or more teams in the break get entered to win winner take all no max entries by two teams one entry four teams two entries six teams three entries etc top two names each get one box of 1920 upper deck series one hobby ship sealed so 15 box in her case clear cut hard sign encapsulated autograph per box tribute autos new black amber autos base rookie autographs and metal universe palladium autos so here is our customer list from Matt Arnold and the Ducks down to Matt Arnold and the Jets we're gonna do the break itself then we'll do the randomizer at the end to give away the two 1920 series one hobby boxes here is our case and our final list so Matt Arnold with last spot mojo with the Ducks Islanders and the Sharks there you go good luck sir and everybody else as well release day on this everything I've seen from it's been incredible so far so let's hope that this case is nothing different if not more exceptional so this is the inner case so I think the master case we originally busted open for pick your team number one this is the remaining inner case from that master case and each inner case has 15 individual boxes in here there you go oh each one of these is sealed to okay cool how does this open just opens like that okay there's a little haul I guess first up Marcus Peterson rookie auto for the Pittsburgh penguins Danny Geonsopoulos the clear acetate cards look incredible there you go Danny thank you very much empty box Adam Boquist Palladium from Metal Universe nice blue ink auto there for the Chicago Blackhawks and Scott Wilcox awesome looking card very nice number three Jake Wallman 49 out of 65 upper deck exclusive rookie auto for the St. Louis Blues and Jarell Taylor there you go Jarell Oliver Walsh from rookie auto for the Islanders Matt Arnold last spot mojo there you go Matt congrats Adam Boquist again rookie auto for the Blackhawks Scott Wilcox had a playdium one earlier now you got the regular rookie Brock Besser authentic rookies auto for the Canadians I'm sorry for the Canucks Danny Geonsopoulos nice Brock Besser there for you Danny it's going good let's see if we can get a whole lot better Rem Pitlick upper deck exclusive rookie auto 61 out of 65 for the Preds Icapola Jimmy Schulte rookie auto for the Knights Ben Smith Vegas Golden Knights Brady Kachuk 53 out of 99 embedded endorsements auto for the Senators Wade Preston John Leclerre for the Canadians Amir Majub thank you very much Amir congrats Adam Fox rookies embedded endorsements nine out of 99 for the Rangers John McCall Joel Farabi rookie auto for the Flyers Ben Smith Brad Marchand 13 out of 15 upper deck exclusive for the Bruins Josh Proust very nice and very low numbered there you go Josh congrats man and Sidney Crosby wow back-to-back 15 out of 15 upper deck exclusive auto Pittsburgh Penguins Danny Geonsopoulos Sid the kid there you go Danny that's what we were looking for one last big one close it out Philippe Myers rookie auto upper deck exclusive 15-2 out of 65 for the Flyers and Ben Smith nice one for you Ben to close it out there you go guys that was our case break 2019-2020 upper deck clear cut hockey 15 box case break pick your team number two where we still have to give away two 2019-2020 series one boxes so the way we're gonna do this we're gonna copy this customer list over to a second spreadsheet and alphabetize so Ben with two gets one entry Danny with four gets two entries I Kapola with two gets one Jarell gets one John gets one Matt with five gets two we'll use two of your last spot Mojo spots see if it brings you any extra luck there uh Matthew Matt Buckler with one team doesn't get an entry but thanks for getting in Matt Parsons you got one Mike Tower gets one Scott Wilcox thank you for getting in not going to get an entry on this Sean gets one Spiro same thing thanks for getting in and Wade gets one so from Ben down to Wade we've got 13 entries we're going to copy that list over to a new spreadsheet some Wade back up to Ben dice roll top two names after two and a six eight times gets two or each person gets a 1920 hobby series one box after eight times good luck eighth and final time congrats Matt Arnold last spot Mojo came up again and Mike Tower you guys are both gonna get a series one 2019-2020 hobby box shipped sealed to you eight times on the randomizer eight times on the dice and there you go congrats guys that was 2019-2020 upper deck clear cut hockey 15 box case break pick your team number two from jaspyscasebreaks.com I'm Sean jaspyscasebreaks.com thanks for hanging out we'll see you next time


St. Lucia's male senior cricket team returned from St. Vincent and the Grenadines Wednesday evening after winning the Winner Island Super 50 Cup beaten Grenada by six wickets in the finals last weekend. The Ministry of Development and Sports in collaboration with St. Lucia National Cricket Association held a ceremony in their honor at the Darren Sammy Cricket Ground. President of the St. Lucia National Cricket Association, Julian Charles, applauded the players for the focus they maintained in preparation for the tournament. You have worked so hard.  And as I said already, I wish you all the success in your careers going forward. I have no doubt that all of you there have the potential to become international players or at least be able to make a comfortable living out of playing cricket. So I just want to say that and I wish you all the very best. Acting Deputy Permanent Secretary in the Ministry of Development and Sports, Dr. Euralis De Lea, observed that this youthful cricket team's success will augur well for St. Lucia's cricket. I know that St. Lucia has done really well in cricket in the past, but not usually at the senior level. But it is really refreshing to see that we have a young senior team. So it means that the future of cricket looks very, very bright for St. Lucia. And I'm really, really proud to see so many young men on our team. I would like to pledge our ministry's continued support for not just cricket, but sports in general. And with, you know, a victory like this in St. Vincent, we have no choice but to continue investing in our young people, in our sportsmen and women. Team coach Gary Matre expressed pleasure with the team's performance and achievement and had some words of encouragement for their continued progress. So for us, we must remain humble and continue to strive for greatness in every match, every practice, every session. Our success today should fuel our determination to achieve even greater victories in the future. Again, congratulations to everyone involved in this remarkable journey. Let's savor this moment and use it as a stepping stone towards more accomplishments. Keep working hard, stay focused, and continue to believe in yourselves and each other. Together, we could come, we could accomplish anything. Several players on the squad stayed back in St. Vincent and the Grenadines to participate in best of the best series, from which a squad to represent Windward's volcanoes in the upcoming regional Super 50. They are Captain Kimani Melius, Tarik Edward, Larry Edward, and MVP of the tournament, Shadrach Descartes, where Indy's opener Johnson Charles, who did not play the tournament, is included in the lineup. From the miniature of youth development and sports, I'm Ryan O'Brien.


If I can inspire the mind one time, it means I'm rich off this.  Putting in faith in someone else, you know that's here to miss. Been talking a lot, but I got the work I hit up. Bad me up. And I had them opposins, that was when life really had shook me. But they gotta give me that back in first whenever they booked me. We do it for us, say 40%, whatever they slapped me. They caught me some rockin' web and no rockin' fill ain't sign me.     Bring back foo-foo, bring back foo-foo Bring back-


Chrome 63 allows you to import JavaScript modules dynamically. My favorite interview coding question becomes a piece of cake with async iterators and generators, and you can override the browser's default overflow scroll behavior with the CSS overflow scroll behavior property. I'm Pete LaPage. Let's dive in and see what's new for developers in Chrome 63. Importing JavaScript modules is super handy, but it's static. You can't import a module based on runtime conditions. Thankfully, that changes in Chrome 63 with the new dynamic import syntax. It allows you to dynamically load code into modules and scripts at runtime. It can be used to lazy load a script only when it's needed, improving the performance of your application. Instead of loading your whole application when the user first hits your page, you can grab only the resources you need for them to sign in.  Then, once the user signs in, load the rest and you're good to go. Writing code that does any sort of iteration with async functions can be ugly. In fact, it's the core part of my favorite interview coding question. Now, with async generator functions and the async iteration protocol, consumption or implementation of streaming data sources becomes streamlined, and my coding question becomes much easier. Async iterators can be used in four of loops to create your own custom async iterators through async iterator factories. Scrolling is one of the most fundamental ways to interact with a page, but certain patterns can be tricky to deal with. For example, the browser's pull to refresh feature where swiping down at the top of the page causes a hard reload. In some cases, you might want to override that behavior and provide your own experience. That's what Twitter's progressive web app does. When you pull down, instead of reloading the whole page, it adds any new tweets to the current view. Chrome 63 now supports the CSS over scroll behavior property, making it easy to override the browser's default overflow scroll behavior. You can use it to cancel scroll training, disable or customize the pull to refresh action, disable rubber banding effects on iOS, add swipe navigations and more. The best part, over scroll behavior, doesn't have a negative effect on your page performance. I love web push notifications, but I've been really frustrated by the number of sites asking for permission on page load without any context, and I'm not alone. 90% of all permission requests are ignored or temporarily blocked. In Chrome 59, we started to address this by temporarily blocking a permission if the user dismissed the request three times. Now, in M63, Chrome for Android will make permission requests modal dialogs. Now, remember, this isn't just for push notifications, this is for all permission requests. If you ask for permission at the appropriate time and in context, we found that users are two and a half times more likely to grant permission. These are just a few of the changes in Chrome 63 for developers. Of course, there's plenty more. The finally method is now available on promise instances and is invoked after a promise has been fulfilled or rejected. The new device memory JavaScript API helps you understand performance constraints by giving you hints about the total amount of RAM on a user's device. You can tailor your experience at runtime, reducing complexity on lower end devices, providing users with a better experience and fewer frustrations. The intel.plural rules API allows you to build applications that understand pluralization of a given language by indicating which plural forms for a given number and language. And that can help with ordinal numbers. All the details, including links to the docs and specs are in the description below. And be sure to check out the latest new and Chrome DevTools video to learn what's new in DevTools. Then click the subscribe button and you'll get an email notification whenever we launch a new video. I'm Pete LePage and as soon as Chrome 64 is released, we're right here to tell you what's new in Chrome.


Right, so following on with what I said in my last video about the comments I've seen the top Upvoted comment the top liked comment on my one of my latest videos was this and it's from biohazard 61. He says hi Stefan I've been able to lose a dream every now and then this often happens by accident I can only recall one dream with a reality check However, I'm trying to learn the wild technique the way can choose to lose a dream and He can get himself to the sleep paralysis stage So where he sees shapes and images as he's falling asleep, but he struggles to go beyond that He says he's tried going to bed when he's tired Because this helps you fall asleep and helps you enter the dream. He always gets stuck at the same place Sometimes it lasts hours. He says sometimes it just goes on forever Is there a way that I can do this or should I try a new method? so I'm gonna approach this a couple of ways. So the first thing is if you're struggling with the world technique Firstly, don't worry. It's one of the most difficult techniques to do from being awake Without having slept first now what I mean by that is when you go to sleep Your sleep is divided into several different cycles and phases and without complicating it too much most of your dreams and especially most of your potentially lucid dreams will happen in the early hours of the morning, which is when you're So I've covered this before but it's when you have your biggest periods of REM sleep rapid eye movement and these are the times where you're most likely to lose a dream now That doesn't mean that you can't have a wild lucid dream from From scratch, you know from when you first go to sleep at night It just means it's going to take a lot more effort practice and time. It's going to be very difficult Okay, so if you want to do that if you want to go down that path and do it that way Then just meditate and I can't stress this enough meditation twice a day for 10 minutes Following the steps on my on how to lose it dot com Or really help you. Okay, because you need to I think there's a plane going by or something Sorry about that. You need to be able to Focus relax and keep your mind aware while your body falls asleep. That's the most important thing and The best way of doing that is to practice it and the best way of practicing it is to meditate because that's exactly what you'll be doing The wild technique is essentially meditating while you fall asleep Okay, so you need to be able to meditate first because the wild the waking juice lucid dream It's like the next step of meditation. It's like a more advanced form of meditation Not only are you relaxing your entire mind and body But you're keeping your mind awake while your body not only relaxes but completely falls asleep for the night And so you need to be able to have the patience to essentially meditate for long enough for you to go through sleep paralysis Okay, through sleep hypnagogia where you see all the images the shapes colors and into the dream Okay, so this is much more difficult to do when you first go to sleep So that's step one step two and the second approach I want to take with this Which is the most effective way of actually getting this to work Is to wait so I've said this before but all you need to do is Set your alarm six hours for Set your alarm to go off six hours after you fall in asleep. This will target REM sleep Okay, and it should go off Let's say if you would normally wake up at eight in the morning Set your alarm to go off at six in the morning and at this time You're gonna perform. What's known as a wake back to bed technique the wake back to bed lucid dream WB TV okay, and All you need to do for this is set your alarm and then do exactly what you've done for the wild the exact same steps at That time and all it's gonna do is make it much more likely that you'll be able to lose a dream Because you'll be targeting a REM sleep. You'll already have had your deep restorative sleep in the night You've already had that you know the sleep It's gonna make you feel energized the next day and so all you're doing is you're entering your re-entering I should say you're your sleep and entering hopefully a REM period Rapid eye movement, which is when you're most likely to dream and most likely to lose it dream So there are two options you have that you can either do the the hard way which at the end of the day It's gonna be better for you because you'll learn how to meditate.  Okay? Just set your alarm six hours wake up do the wild and have a lucid dream and then eventually as you become Better and meditating you become better at relaxing and focusing. You know, you're gonna be able to do it Straight from being awake anyway. So this is really the best way to practice. I hope this helped and That's it If you have a question you'd like, please either comment or look through the comments You see someone's liked something You know, if someone's if they have a lot of upvotes on a particular comment and you want that question answered Just give a quick up vote to the comment and also don't forget to like and subscribe


Hello everybody, my name is Sophie Bass and when the British Library asked me to make a little book about something I love, my first thought was music. I hope that my words and drawings convey the importance of music in all of our lives and its amazing capacity to be such a powerful yet positive outlet for all different emotions. Hope you enjoy! From the something you love collection, Magical Music written and illustrated by Sophie Bass. What do you love? I love music. I love it because it makes me feel lots of different ways and transports me to lots of different places which feels pretty magical to me. I love punk because the unruly energy makes me feel like a ferocious dragon. It feels good to jump and crash your frustrations away. I love dub because the rumbling bassline from a mighty sound system is like medicine for my soul. I love trance because it makes me feel nostalgic. It reminds me of being young just like you and discovering my love dance music. It takes me to the fairground, colourful lights and euphoric rides going round and round. I love darkwave and ambient because it makes me feel like a bat at peace in my deep dark cave. I love my sing-along anthems, songs I know everywhere to and love to sing at the top of my voice. It feels freeing like being a part of a chorus of melodic birds. I love spiritual jazz because it sends me to outer space like I'm floating in the sky watching marvelous things pass by. I love jungle because it makes me feel like I'm the king of the jungle. I love techno and dubstep because it makes me feel like a wobbling, rippling, undulating deep-sea creature surrounded by bubbles, echoes and waves. I love afrobeats and calypso because it makes me shake my hips and move my body like a rattlesnake. What kind of music do you love and how does it make you feel? Isn't music magical? The end.