back to ThinkTech. This is transitional justice and our guest today who joins us from Lisbon is Bruno Adele Papa. Welcome to the show Bruno. Thank you, thanks for the invitation. It's nice to see you here. Thanks for being with us. So Bruno is a physicist but he's also a computer guy and today we're going to talk about how AI and other data processing helps project expedite justice to its work in Europe and elsewhere. So let's first start with how AI is different than the data processing that we used to think about. So yeah, I think it's a good point to start. Well, so first by AI we already mean different things. So there's different kinds of models, different kinds of problems that AI tries to solve. Broadly from our AI combination of so machine learning deep learning models that have evolved in the last 20 years or so with the computer capacity that has also evolved. So we have ways of dealing with large volumes of data that are necessary for AI. But those sometimes people don't, when they mean AI algorithms, they don't include those. They mean more like the models that quote, think like humans, which they do not. That has always to be very clear. But AI is a broad term for that. So how it's differs from normal or let's say old statistics is just by the size. So statistics in the past has been able to deal with what are reasonable amount of data. But today we just increase the amount of data available by many, many orders of magnitude with that. So internet, computers, processing capacity and so on. And like AI algorithms were a way to deal with this. So it's a very fancy new word for applied statistics, very specific methods and algorithms that have developed in the last years or to deal with this data. Yes, that's probably a short answer. Okay, well, no, that's, that's fine. I wanted to get some distinction going.  And for that matter, the UK has a lot of cameras around London and they can recognize, you know, using AI, they could recognize faces. So does this help in project expedite justice's work? If you can recognize faces using AI facial recognition? So at the current moment, that's not anything I'm working on, but it has the potential to help. Essentially, as you mentioned, there are many, many different models for facial recognition. I think it's maybe the one classic case that governments have been using. And you can use that if you have enough data to train your model. So one very important feature of AI is AI is only as good as the data you use to train your models. I think that's that is very important. So in the Chinese case, they do have a crazy amount of data that they use to train their models. So they can easily identify some kind of key facial points and facial features. I'm sure in the UK, the government has similar approaches. What organizations such as PHA could do is if we need to, we have videos that have been recorded by witnesses by media or that sometimes people post on social media. And in these videos, you have faces that could appear. Can we identify them? Potentially. We can identify the same person, the same face appears in different videos. And that's just as a comment, it's not only for faces. You can identify, for example, carbs, vessels, or anything essentially, anything that you can train the model to identify, which is something that is quite new, something that has been developed in the last maybe 10 to five years. Well, you know, that really speaks of the network analysis. What I mean by that, maybe that's an old term. But if I have, say, a stack of email, let's say I have 20 million emails, okay, and I want to see where you, Bruno, have appeared in an email with regular data processing, I can, you know, and we have been for the past 20 years after 9-11, the US government has used that to go through those emails and find every time Bruno's name appears. But now, with AI, we can do it much faster, and we can get more reliable results. Can you talk about how that works? Yes. So it's not only a matter of much faster, it's that you can also infer the context in which my name would appear in the emails. It's not only like, let's call it a brute force search that you go through the text very quickly. You also now have models that are able to understand some of the text and understand in which context this name has been used and to what's other names or what's other words or what's other companies this name has been linked to. And also, you mentioned only emails, but what is the case in realities that you have different kinds of data data, for example, emails, videos, registers of companies in some country, they are all in different formats. So we also need some kind of software that look at these different formats, which is one thing that was not possible before. I mean, now combining different kinds of data is one of the key points. Yeah, that's really interesting. And I'd like to jump off that track of thought now and say, well, just as Project Expedite Justice and say prosecutorial authorities in Europe looking for war criminals can use this technology to get a beat on where you have been, Bruno, what you have done, who you have consorted with, what points of life experience will help to define you. The government can do that too. And actually, the government has greater resources to do that. So it's the old story about how technology has two sides to it. What are you finding in that regard? To study AI means to study both sides. Where are governments, especially autocracies going? Well, it's always, well, I try to be optimistic about technology in general, but I tend to see AI as a very powerful tool that everybody can have access to. I mean, you mentioned governments, but it would also add these huge tech companies, for example. They can train models on people when what information people openly put online on their profiles, their social media profiles, show their friends they want sometimes to have, I don't know, some funny glasses on their face images and so on. And people just give this data for free and not only to governments, not only to autocracies, they give it to companies that own those piece of software, right? Where this is going? Well, I like to think that this will be eventually properly regulated and not abused, but, well, we are all humans. We kind of know that these will eventually be abused, that it has been examples in some cases, right? So autocracies tend to use that to, well, consolidate their power, right? I was thinking about this before, and let's say when the computers were invented, right? You could, of course, use computers to scientific research to, well, essentially to help people, or you could use computers to, well, use new technologies to control people. With AI, it's exactly the same. So I just think we have a much, much more powerful computer or comparable to the computer invention. You use the word train, and I guess the context was train an AI model. How do you do that? And can anyone do that? Can I do that? And also, does it require coding or just presenting data? So yes, I mentioned training on the context of training AI models. So more specifically, these models are, well, deep learning models, which is like a particular kind of model. So how does it work? You basically have a model with lots of different variables that you want to find the right value to process your data. You don't know. So we just showed the model a lot of data. For example, the simplest example is you want to train a model to detect, to differentiate cats and dogs, right? You show this model a thousand images of dogs, a thousand images of cats, and you tell the model, this is the dog, this is the cat, now you do it on your own. So in a way, the model is generalizing the data that you presented. So that's what I mean by training. Sorry, what was the second question again? Can anyone do it? Well, it has become easier. So at first, programming was a very, well, difficult task and you'd have to study computer science for years and understand how programming languages work. It has become easier and easier. So a little bit more high level in a way. A lot of the problem to train a new model is not on the knowledge, but on the hardware, because you need very good hardware to do it, which normally people do not have. You can train a simple cat-dog model in your laptop. Most people could by studying a little bit of cozy, but this is not enough, right? If you want to train a model for recognized spaces, you need a much more powerful hardware, much more powerful computer, and now people have GPUs and all that. Normally the way it works, that's they use GPUs from companies, that many companies rent them. So for example, I don't use, I have my laptop, but I would train my models remotely in some companies cluster of GPUs. So yeah, that was an answer. It's becoming easier. Here's a third part of it. Yeah, sorry. Please continue. Now, the last very recent test on how it has become easier and easier is this advent of large language, language involved is like chat tpt, right? I think this is like a topic everywhere now and it's interesting, even for me, how quickly it is developed. So just before chat tpt appears, I knew about some language models, but I was away for a few months away from from work. And then when I came back was just like two weeks after chat tpt had been released and a few other models quickly appeared. And you see how quickly that's changed because now if I want to, for example, if I want to implement this cat and dog model, I can go to chat tpt and say, please write me a piece of software that will implement using this or that model, an AI software that will differentiate cats and dogs. And if you give you the code for some few mistakes that you have to catch, but it essentially gives you what's in the past you spent a day or maybe even more writing. So I see AI is kind of making itself a bit easier as time goes by. But sorry, there was a third question that I think. No, I just wanted to know if you if you had to know any specific coding language in order to set up an AI program or whether it was agnostic? Well, it's, in principle, you can develop in any programming language, but most of the work has been done in Python, which is a specific programming language. You have frameworks developed by, well, big tech companies nowadays that are introduced. So you can easily learn how to, I mean, easily. I mean, if you are, if you have some little bit of background in math and coding, you can understand, read all the documentation, ask questions to chat tpt and kind of teach yourself and implement that using this free software that they provide. Now, which is a little like a little bit of a detour, but it's another thing that I appreciate about AI. A lot of models are open source. So if you want to write your own model to detect cats and dogs, the standard procedure wouldn't even be let me write my own model. It would be let me check at this database of free trained models, what people have have done. And it already like some obviously not commercial companies do not open their codes because, well, they are how they make their money, right? But a lot of people contribute to this open community of software, which I find really, really interesting. And you kind of build on the work of other people. It's like, you know, every, every other kind of popular software, the development of the popular software, if you go on the web now and you look for AI programs, you'll find hundreds, hundreds. And some of them are way better than others. Some of them have better data, better models, and so forth.  And it's actually a play now in London. And it's called Operation Mincemeat. And it's about successful operation during the war, 1943, where the Brits were able to deceive the Germans about where exactly where the Allied forces would be attacking. And the question is whether it would be Italy or Greece. And they deceived them into believing it was Greece. And then they attacked, actually attacked in, you know, in Italy, as we all know. And that was a turning point. So, you know, what's interesting about that is that deception is part of AI. I mean, I could make, how do you know this is my voice? How do you know this is a picture of video of me? How do I know it's a video of you? Because I can use AI and deceive you in every which way, as to the voice and the video. And what you are saying, I could create a completely fictitious deception using AI. And it would be very hard to decipher that. Am I right? Yes, this has been a very recent development. It's called generative AI models, which basically are models that creates, as you mentioned, voices, images, videos, music, even bubbles. Well, they can kind of copy a voice of someone or a pattern, a musical style, and so on. There are people also developing models to detect them. But it's a little bit of a competition, right? You develop a model that creates a better fake, you develop another model better to detect fakes, and they kind of feed on each other and get better and better. But the problem is kind of always there, right? This is a little bit of this carry part, like it's also very, very difficult for people working with law, right? Because how can you say now 100% with 100% certainty that something is really a piece of evidence, or it hasn't been fabricated, right? And this is an area that is very new and very difficult. I don't think we have a final answer for how to deal with this problem, right? And yeah, I mean, it could ask me, I wouldn't know the solution, actually. Well, you know, we talked about, this is an interesting point you mentioned. We talked about how the white hats and the black hats may use AI for different things, for good or for nefarious. But there's another element too, and that is that the AI can be used to see if the other guy is sending you AI. Like, you know, for example, chat, CBT students at very important universities have written their term papers using AI, but then there are other students who have written AI programs to identify the programs that are false. And so you get two sides, two sides of that equation also, the AI to search out the AI. I have seen, recently I saw a very funny joke that one professor was talking and he said, yeah, almost students keep saying, I might write my papers with chat, CBT, and he said, no problem, I might grade their paper with chat, CBT as well. He was like, okay, I'm doing everything. Well, I think, you know, after a while it's going to be the normal, everybody is going to use AI to write papers and the AI that's supposed to spot them won't be as good as the AI that wrote them. But I think what, you know, what's interesting, and I'm coming to my case study with you, I want to have a case study with you. So if I want to plan something, I want to plan an operation. If I want to plan an operation in mis-meet, for example, why don't I just trot out, you know, chat, CBT and say, how can I deceive the Germans into believing the invasion will be in Greece? And it will immediately provide me with a plan, won't it? So therefore I could use AI, chat, CBT anyway, to start my planning. And I wonder if that is so when you are looking to hold war criminals accountable? Can you have AI write you a plan to find them and to, you know, deal with them and to hold them accountable? Is that a worthy case study for you? Well, I think, I mean, we have to think first about how humans do it, like how the human be able to hold someone accountable for war crimes. So you have today's, so you have a set of, so you have the law set of rules that this person has to break to be considered a war criminal. And you can, in principle, have, this is not the case, but let's assume you have the best data sets in the world that contain all the possible information about everything that everybody has ever done. So in that case, you could have like a very, an AI that looks at all the data and have a clear cut. Okay, criminal or not criminal. One thing that's a little bit dangerous in this case is, so AI is just as good as the data that's used to train the models, therefore biases are going to be there, right? And if we do go in a little bit of dangerous territory, especially in cases that involve data about, well, racial profiling and socioeconomic studies and all that, just imagine how a human would generalize some kind of statistics, the AI would do the same. So we still need someone to kind of check if the AI is actually doing what it is supposed to do. And if you can play, you can use an AI to check if the other AI is doing what it's supposed to do, but I wouldn't, personally, I wouldn't say that it's very, very easy. Like we still have, humans still take context in acting to account much more than AI. If that ever will change, that's, that's a question for the future. I guess it's more of a philosophical question about what's made this experience.  And now, you know, it's not uncommon to have exhibits in the millions, which have to be evaluated and which have to be authenticated and presented to the trier of fact. And the trier of fact could use AI to evaluate that. And the lawyers on both sides could use AI to sort through those millions of documents. So this obviously would be helpful in a trial of a, of any trial, but certainly in the trial of a war criminal to find him or her and to to line up the evidence and authenticate the evidence, present the evidence. And, you know, in Ukraine, for example, we, we know through videos and testimonies and the like that there's an awful lot of evidence about an awful lot of war criminals. And so, but it hasn't really come to pass where these criminals are being taken in front of tribunals and tried and punished. That hasn't happened yet. And maybe what I hear you saying you can correct me if I'm wrong, but I'd make a guess and say when that day comes, when the people you have identified through various sources as potential war criminals are in front of a court, AI is going to help you, not only identify them, but try them. Am I right? Yes. And, and help to identify them and to identify all the pieces of evidence that's helped to prove the all the, and the crimes, let's say, because as you mentioned, for example, let's say you have thousands, hundreds of thousands of hours of video about different events in Ukraine, for example, there's no lawyer in the world that's going to go through all those videos look one by one. I mean, you can do that, and you take 100 years to be able to actually identify everything. But you can use an AI tool to identify, for example, cases that appeared in every video. So in which seconds, in which frames of the video do we have this person, in which frames do you have the car of this person, and where, and this can be done much, much quicker than a human do. So I think this is, as of today, I think this is probably the main contribution of AI is to help sort through data and collect potential evidence to bring someone to trial. In the trial itself, I'd still say it's a little bit for the future and for lawyers to decide how much we want that to be the case. Then that's a little bit of the end of AI is a tool, which is what I've been kind of selling so far, and more to AI as a decision maker, which is it has complicated generalizations. If you use that in court, why not for the government? Why not for decision making in the government? This is a completely different territory. I think as of today, the best investment in AI and data analysis is how can it help us to sort through and identify evidence? Yeah, you're really, when you talk about AI as a decision maker, a little black box that determines guilt or innocence, that's really science fiction. But I agree, it's irresistible. It's irresistible and it will happen at some point, don't you think? Well, I think it depends a lot on us. AI will always be a black box in the sense that every model has billions, maybe two billions of parameters now. No human can go through all of them and understand what every number is doing. We hope it generalizes things in a useful way, which it does because, you know, there's just so many numbers, so much math.  But it's a black box, like we, as humans, as a society, we want to trust the black box. Last, I also think it's important to comment that you have what people call adversarial attacks, which are ways to break the AI. So the classic example, you have a picture of an elephant. You put a little bit of random noise, random pixel colors, and suddenly it's not an elephant anymore. It's, I don't know, a panda bear or some other thing. Why? We don't really know. Lots of studies go into that. And until you understand, or I don't think this is actually going to be possible, but until you are sure that these attacks are not possible, personally, I don't think we should use AI as a decision maker because it will make mistakes, even this kind of weird data or, let's say, not weird difference or very different data points. Well, the genie is out of the bottle. And as I said, you know, Jack Smith, who is prosecuting Trump, could probably use AI in organizing all those materials in various cases. And the prosecutors around the country here will think of that, and they will think maybe they should use AI too in examining the documentary evidence and so forth. And the judges will want to have the benefit of that. So what you have is a perfectly legitimate and constructive use of AI in enforcing the criminal law and maintaining our democracy, if you will. But at the same time, you have autocrats who do precisely the same thing in order to destroy democracy somewhere else. So it goes to something you've referred to a couple of times for enough, and that is regulation. And you've kind of skipped that stone across the leg. But what about regulation? How in the world do you regulate this? So for the moment, in our case study, I'm going to make you the American Congress. You are now designated as the American Congress. What in the world can you do to regulate AI? Well, there has been some tries. So for example, that every company or everybody that uses AI should state that this is an AI-generated piece of data, image or voice or whatever. But this is the easy part. Like you can regulate and say that companies cannot use data that has been acquired without consent to train their models. They can do that, for example. But that's regulating the easy part. Will it be done? And how can you check it? Like how can you check if the data used to train a model has been acquired with consent? How do you go through this millions and millions of pieces of information? It's a hard task. I don't know. I don't have an answer, actually. My answer as the Congress would be, well, the companies producing the AI have to kind of convince us that this is a tool that's a safe tool. Same as, for example, computers. Like we are convinced that using computers, that computers are tools that help us in everyday tasks. We know they can, every now and then, they break. There's a bug here and there. And sometimes things don't work as we expect. But mostly they're fine. How did we get convinced of that? By using it for many, many years and improving, like constantly improving, fixing mistakes. I believe a Congress should look at AI in a similar way. At the beginning, right now, there will be tons of cases of people breaking violations, of computers exploding here and there, computers being, I don't know, computers misbehaving and having accidents and even killing people as if it happens. But ideally, we should strive for incremental developments. And slowly, but surely, get a better computer in the future, as we do today. Well, I made you the Congress for a reason, because Congress presumably, although one wonders about it these days, has the power to regulate. But how can any legislature reach out and say, okay, we're all going to do this with pure heart? We're not going to be moral. We're going to be ethical. We're not going to take advantage of anybody. It's like you'd have to write a new constitution of human affairs in order to make sure that it was constructive and helpful to our global society. I myself, I don't think that's going to happen. I'm sorry. I completely agree. But, well, another thing that is important to mention is that I would be more comfortable with is knowing that, well, at least the people making the decisions in the Congress would know what they are making decisions about. Because you do have examples in many countries where clearly they have no clue how these things even work. And so those, as a Congress, are the first things of like, at least get advisers to explain you through a basic level how this works. You don't have to go into math. You don't have to go into coding. But some things are very, you clearly see that people come from a world in which this was not a thing. And this will change in the future. The current generations are growing up in a world in which AI already existed. So how this is going to affect their decision maker in the future is a question that I can even answer. Like, I think I wouldn't like to be in this responsible decision maker world. It's a very, maybe the hardest problem of our generation. I totally agree. And you really struck on something that is the people who make the policy or don't make the policy, people who are responsible to make the policy have to learn how it works. And right now, it's hard to find policymakers who really know how it works. So I think that's really an important point. And we have to do what we can to educate them or to cause them to be curious enough to learn. So we're almost out of time, Bruno. And I want to ask you one last question. It's my five year question. Okay, look forward, if you will, five years. Look forward in Europe. Look forward in the Ukraine war. I hope it's over. I hope it's over very, very soon. Matter of fact, look forward in government here in the US and around the world. How will AI change those things? How will they be affected for better or worse? Well, first of all, this is an impossible question to answer to 100% uncertainty. As an example, people who have taught self-driving cars would be already a thing. It could ask them 10 years ago, and we are not nearly there. How will I would change? So my, let's say, wild guess is this large language models like chat CPT will be more and more incorporated in our everyday lives. And we won't do like investigative analysis without them anymore, because a lot of people will just incorporate them into their work. In terms of work, we see that already. So like drones, for example, drone attacks, like they are all coordinated by algorithms that have been developed with AI. So this kinds of warfare are going to become more and more common.  And this is just going to get better and better, like better drone controlling algorithms, better, well, better data collection tools, better recording, more and more data and more, well, let's say AI should deal with this volume of collected data. But my personal guess, large language models are going to be more affecting our lives and all questions in five years. Will it be a better world? Well, that's very hard to say. Depends what you mean by better. Okay. Good answer. I'd say as someone working with tech and AI, I try to make it, but well, if it works, it remains to be seen. Well, goes to show you're a very important person. And anyone in your shoes is an important person because this will have a huge effect on our society. Brutal Hotel Papa, thank you very much for joining us from from Lisbon. Thank you very much for discussing these things with us. Well, thank you very much for the invitation on the opportunity. Yeah, that was a very nice talk. I love her. Bye.


I am almost at 4k1k to monetize my personal YouTube channel, let me show you. Here I'm almost at 3k. This is not monetization guys, this is membership, supers, and shopping. Monetization is a bit lower, you have to scroll down. See, I have 4,000 watch hours to go and I'm almost at 3,000. This is YouTube's monetization threshold, how many of you are still struggling to get to 4k1k? I was at like, like my hand doesn't go that far, but I was basically like at the very beginning of this bar until heartbeat helped me get almost to 4k. I got one video because of heartbeat that's giving you, giving me all my views. Have a look. This one video where Daenerys threw up candy is now at 366,000 views. It's like 90% more than my next best video and it got those views because of heartbeat. Let me show you how I did that and you can do it for your videos too. When you go to heartbeat, you click my heartbeats. Then you can customize your heartbeat just like you can on YouTube by clicking this customize button and here you put on the default videos that you want on your heartbeat, your moments, your trailer for the people who are not following you and for the people who are.  So when you look for Daenerys on heartbeat, you see the video I just made or I just have 366,000 views on. Here is the moments that are on heartbeat. You see right here, right here, right here, right here. These are the moments that have created the YouTube push that gave me the views that I'm getting on this video on YouTube. This is an embedded video guys. Heartbeat isn't a competitor to YouTube. It helps you get more views and that will help you get to monetization on YouTube faster. So specifically what happened when I created these moments on heartbeat and I'll show you how I did that in just a moment. When my family clicked these moments, they created an indicator for the YouTube algorithm that something special is happening at these moments. They are giving higher audience retention and watch time and that's what prompted the YouTube algorithm to start testing my video in different places and it was seeing equally high retention in audience when it was putting it in the suggested moments column of YouTube. All that happened because of heartbeat, because of these moments. I'll give you the data in a moment. First I promised you to show you how I created these moments. Okay so you go to h.ki type hkey type h.ki into your browser then click moments extension. Once you get the moments extension added to your Google Chrome then when you're on YouTube on any video let's look for that one again. Daenerys candy throws. There we go. This is one of my videos. So when you're watching one of your videos and you've installed the heartbeat moments Chrome extension just press H. H. That creates a moment. That's it! You now have a moment for all time for people to enjoy on heartbeat. Now let's take another moment. I'm just watching this video. I'm continuing on let's say H. I want that moment and one more. When Kira pops in here let's see Kira where she here she is. So I just press H. Now let's say I missed it. Let's say I didn't get the moment exactly as I wanted it. No problem. You click the little heart icon and then you simply modify it. See this little edit button? You can just tweak it. Watch. Let's go back a second. Let's go forward a second. Let's go back .1 seconds. Let's go back one frame. Whoops that's the wrong way. Let's go back one frame at a time. Okay right there. Kira enters. Right. I just created a custom title and I click save and voila! There is my moment. Now I have another here moment eight which I'll just say you know testing one two three because I'm just testing it and I would should put a proper title there and this is like the candy on the floor from the tummy of Daenerys. Very descriptive title. Okay once I have those moments then if I go to h.ki and go to my heartbeat oh there they are see moments one two three these are the moments I just created and if you share these moments with your friends and family and people click them YouTube gets the indication that there's something happening with this video and we'll uh put it in more places to get more views on YouTube itself once it sees traction on embedded sites like heartbeat. So here is the candy on the floor moment okay and there it is. Now here's the Kira enters moment. Kira enters right there. Now these are in addition to the moments I already created. Now of course I can just delete the moments I don't want by clicking delete moment in that menu. Now if I want to share this I just click these share button copy and then I can paste this in WhatsApp Discord email anywhere I like to give directly this moment to my friends and family and that's what increases watch time and that's once they see this moment they'll see all the other moments they'll probably click on them that gives you to be even more indicators that this video has something special about it because it's getting watch time at specific moments that tells YouTube people are jumping to specific areas and it wants to test whether that means that video should be getting more views if it deserves more views on the YouTube platform that's it that's how it all works guys that's the magic behind my 366,000 views on this video that used to have a few thousand views and suddenly blew up because I added it to heartbeat all right so let me remove a few of these extra moments that I didn't need because I already optimized this video with moments this candy on the floor is a pretty good moment actually I'll keep this one but I'm gonna tweak it a bit to go back a little so I can get to the start yeah right about there let's go back even one more frame perfect save now when I test it there we go yes with Daenerys threw up candy all right you can see it gives you like a summary the highlights of this video and the more you click on this the more your friends click on this the more likely YouTube will get more views on YouTube itself so let's take a look at YouTube itself so I'm going to go to YouTube studio and we're going to look at that video analytics okay sort by views there it is let's look at analytics so look the video this is where I added it to heartbeat it blew up and it's now at 366,000 views it's my most viewed video on the channel now if I look at the real-time analytics you can see uh let's let's go back to the to the whole channel right look at this guys four thousand views in the last 48 hours where every other video is like 10 views 15 views 5 views it's like an insane amount of views coming from this one video this one video is what's getting me to monetization on YouTube and it's all because of heartbeat this would not have happened without heartbeat guys where's that graph this graph would not have happened it only happened because I started using heartbeat and I encourage you to do the same and if you get the same results tell us we love to feature you here on the george show so we can also share in your success and celebrate your success email support at freedom.tm that's our link or email address to tell us your great news your stories about heartbeat we'd love to feature them on youtube on heartbeat everywhere share the love all right heartbeat family freedom family growing together this is about building a community of creators where we all help each other grow together as a family that is the spirit of freedom and of course it is the spirit of heartbeat because the same people who built freedom built heartbeat now heartbeat has its own studio look click studio when you go to h.ki and here you have heartbeat studio see this is my latest moment candy on the floor it's got zero views come on guys view my moment please and if i go to content you can see all the views i'm getting here you can see i have 732 views for george jumps from a plane now let me uh let me go to the left here but here we go and so you can see how many views i'm getting for all of my moments it's actually not bad for a new platform heartbeat is a new platform but i'm already getting almost a thousand views on my most popular moment from people like you who are watching heartbeat follow my heartbeat just go to h.ki slash at george venus the link is down there in the description below that will take you to here which is my heartbeat with 45 followers these are like subscribers on youtube but we call them followers just so we can say follow my heartbeat at hki h.ki so it's all free go to heartbeat tell everyone about your heartbeat on your youtube channel you will grow faster when people watch your best moments on your heartbeat and uh we'll all grow together as a family that is the spirit of heartbeat and the spirit of freedom by the way we also have photos if you click on photos that will take you to heartbeat photos where you can see all of your favorite photos that you've uploaded in a nice gallery for example here is me and xenia me and my wife this is how we look today this is how we looked 14 years ago when we were married this is our one of our marriage photos and look i can just zoom in with the mouse wheel and i can zoom in even further that's a bit uh i guess the photo could be better quality it doesn't look so good when it's zoomed in or i can just hover over the thumbnails at the top that's the beauty of this heartbeat photos clickless gallery you're not clicking you're just hovering this is me and my dad yes when i was much younger and this is me in taiwan this is the taipei 101 the previously tallest building in the world with 101 floors but now the burj galifa is the tallest building in the world in dubai they took the took the crown away from taipei 101 uh come on guys taiwan you can build a bigger building right chop chop let's get to it so here are the other photos of me in taiwan and me and my wife in stanley park in vancouver canada other places in the world and yeah we also had a little cute puppy there that we caught on camera anyway guys my point is use heartbeat photos to as a better way to view your own photos you can create your own galleries you can see how many galleries i've created quite a few and uh encourage you to do the same and if you come back to heartbeat then make sure to check out other creators we have a creators page look you can see everyone who has a heartbeat this is sorted by follower count and it will of course show your own heartbeat in this list but just scroll down explore a few of these people these are all creators just like you all right i think this is getting a little bit too long so i will end the video here and uh let's end it on my heartbeat of course so this is my heartbeat where you can see that movies have come to heartbeat movie scenes just check it out on my heartbeat link is down there in the description below who am i i am your papa george your george sunpai this guy george up here in the banner i am the ceo and founder of heartbeat and freedom and a few other brands in the past like netv and tgn if you remember but today it's all heartbeat and heartbeat is youtube that once was no 4k 1k rule you get monetized from the first piece of content you upload to heartbeat no $100 threshold will pay you a penny when you earn a penny on heartbeat you have a community of creators that help each other grow together as a family what more do you want guys this is all the stuff that youtube is missing there's no photos on youtube there's no writing on youtube there is no focus on moments on youtube you can create flips but those are not moments and they're hard to share we've taken that concept and made a much better version of it with heartbeat moments at least we think so and in terms of writing we have this viki here vi.ki i'll take you there www.vi.ki if you want to check it out yourself and this is what will be integrated into heartbeat to make it possible for you to make money from writing and not just writing but combining moments with writing and photos for example star blazers is an american animated television series okay great click this 18 and look what happens we're off to outer space we're leaving mother bird you see the paragraph you are reading these time codes let you visualize everything what's 148 thousand light years away show me it's 148 thousand light years away no one has ever gone that far out in no one has ever gone that far out this shows you the review or the article this is wikipedia guys this is an exact copy of a wikipedia article which we've now enhanced with moments this is what makes it special here it is on wikipedia star blazers is an american animated television series adaptation do you see any moments here do you see any video here no no you see a you know logo of star blazers that's it it's kind of boring it's kind of dry and uninteresting to read here's the same article on wiki part of heartbeat you can click these moments to see the exciting to see the uh to see the video of what it is you're reading visualize it and not just left to your imagination all right that's going to be integrated into heartbeat soon not yet but it will be so you can make money off of your moments your photos your writings you can make money when other people use your moments and photos and writings in their writings that's right we're going to pay contributors if you fix a spelling mistake you're gonna get paid if someone else uses your photo in their monetized work you're gonna get paid as the photographer the platform heartbeat pays everybody we 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Good morning, everyone. I'm so sorry for the delay. I had a few issues with my laptop. Okay, let's begin this time with a word of prayer. Then we'll get into our teaching. Let's pray. Father, we thank you so much for this time once again. We thank you for this new week that you have given us. And Lord, even as we get ready to learn and study God, I pray Holy Spirit that you will minister to our hearts and speak to us, Lord. We thank you for this wonderful opportunity, God. We submit this time into your hands. In Jesus' name we pray. Amen. Amen. Okay. All right, so last class we completed chapter, we looked at chapter 7. Is that right? Yeah, chapter 7. So we get into chapter 8, right? Now, chapter 8 is a very interesting chapter. There is a very important chapter. When you and I evangelize, when you and I get opportunities, a very important aspect of evangelism is to understand and reason. Right? Paul writes, sorry, Peter writes, he says in 1 Peter 315, shall we read that? 1 Peter chapter 3 and verse 15. 1 Peter chapter 3 and verse 15. Go ahead. Thank you, Father, Lord, God, in your hearts and always be ready to give a defense to everyone to ask you a reason for the hope that is in you with sickness and fear. So sanctify your heart for the Lord. That means sanctify yourself and then be always ready to give an Apollo gift.  So even as we minister to people, Paul Peter is saying, first set apart Christ as Lord in your heart and then be ready to give a defense for the gospel. Right? Now, let's look at chapter 8. In chapter 8, we learn from the life of Apostle Paul. What did Apostle Paul do? How was he able to understand both people, culture, religions, places and how he was able to reason with people?  We have different languages. We have, I think India is the only nation with the most number of languages, the most number of cultural traditions that we have, right? Now, just because a person becomes a believer doesn't mean he or she will leave all their traditions aside, right?  Now, they become a believer, right? And in church, there is a fellowship lunch. And what happens in the fellowship lunch? There's full of non-veg. Now, we can't go and preach to them. God said, eat everything. Nothing is wrong in it. We need to understand what is their culture, what is their background, where they are coming from. For 20 years, this person hasn't eaten non-veg.  We must understand people come from different backgrounds, different cultures, and we must be sensitive to that. In the book of Acts, Acts 17, Paul goes on his second missionary journey, right? In his second missionary journey, he has a team. Paul, Silas, Timothy, later on he's joined by... There's Aquila and Priscilla, there's Apollos, so he has a team of people. And his second missionary journey was the most impactful journey because he was able to reach out to many places. And some of the major places that he visited was Philippi, Thessalonica. Now, we are learning about Thessalonica, right? On Sunday services, Thessalonica, then Athens, Corinth, and Ephesus. So in Acts 17, Paul goes into Athens. What is Athens? Athens is a learning center. It's a place where people are very educated. They have great learning, great understanding. So if you compare this to Galatians, it's not like the Galatians were very learned. They were simple people, they accepted the gospel, they believed in the gospel. But here in Athens, everyone have great minds. They like to study, they like to learn. Some of the greatest writers and the greatest thinkers of this world are from Greece. Can you name some of them? I know it may be too hard for us, but some of them are really brilliant men who have shaped many things in this world. Aristotle, Plato, they're all from Athens. What do they do? They like to study about things. They are not people who, you know, okay, somebody says something, I will believe it. No. They are philosophers, right? Great thinkers, great minds. Now, Apostle Paul is going to this kind of place. In the first missionary journey, where did he go? Galatia. Over there, they are not great thinkers at all. He said, you know what? Jesus died for you. If you believe in Jesus, you will have eternal life. People accepted the gospel. People started believing. You know, I'm not saying it was easy, but there was not much of a defending of the gospel. But here it's a different story altogether, right? So there are two kinds of people. When Paul went to Athens, there were two kinds of people. Number one is the Epicurean. Everyone say Epicurean, right? And the second one is Stoics. Say Stoics, right? Now, what are they? They are two kinds of people who believed in, who had two different belief systems. Like how right now in our nation, we have different belief systems. In Christianity, we have many belief systems. Baptist, Pentecost, Methodist, right? So in this, in Athens, these are the two main belief systems. So what are those two belief systems? First one, let's look at the first one. The Epicureans follow the teachings of Epicurus and believe that everything happened by chance, right? That debt was the end of all. They believed that the gods were remote from this world and did not care and believed that pleasure was the truth end of man. Now, what is the belief system? Everything in this world happened by chance. That means the earth, the skies, the stars, the moon, everything that human beings, houses, nations, all of this happened by chance. What is the word chance? Chance means it just happened. Nobody knows how it happened. Nobody knows why it happened, but it happened. This is their belief system, right? And just because it happened, another, the same belief is now God is in heaven somewhere in the planets and he doesn't care about us, right? So he's there. God is there. He has made everything, somehow everything has happened, but we are separate from God. God is there, we are here. And the greatest pleasure for us as human beings is that we enjoy everything in this world. That was one belief system, right? Everyone understood, right? One belief was God is somewhere, everything happened by chance, right? So God didn't create the world. Suddenly it came, the stars, the planets, right?  We are somewhere else. All that we have to do is enjoy life. Enjoy the pleasures of this world. That's one belief system. Then we have the second belief system, which was the stoic. Now stoicism was named by a man named Zeno. And it was a little more contemporary, meaning an advanced form of Epicurus. Now, what is, what do they believe? Everything in the world is God. Now, this one belief was that is everything came by chance. This belief, everything was God and God was a fiery spirit, right? Who gave men life with a little spark of that fire. And when they died, they returned back to God, right?   You live with that spark and when you die, that spark returns back to God, right? That everything that happens in this world is the will of God. So these two belief systems, even though are in the same place, people are there, but they are almost opposite. Here, everything happened by chance, but here it is, everything happens by the will of God, right? Like, that's what they believe, that God is a fire, right? Now, do you have this on your background, right? Do you understand these two beliefs? Yes? Now, Paul is going to this place, right? And he's going to preach the gospel. Now, think about this. For hundreds of years, people, there are Epicurians, there are Stoics who believe this. Hundreds, thousands, maybe 500, 600 years, people are believing this. Okay? Now, all of a sudden, one man is going to this place and he's preaching the gospel. Okay, let's do this. Let's read Acts chapter 17, verse 22 to 31. Acts chapter 17, or let's read a little more of it. Acts 17, 16, from 16 onwards, 16 to 34. Acts 17, 16 to 34. Let's read. Now, while Paul waited for them at Athens, his spirit was provoked in him when he saw that the city was given over to idols. Therefore, he reasoned in the scenario with the Jews and with the genitals, and in the marketplace, daily with those who happened to be there. Then certain Epicurian and Stoics philosopher encountered him and some said, what does this beveler want to say? Others said he seems to be a proclamer of foreign gods. Because he preached to them, Jesus, and the resurrection. And they took him abroad and brought him to the Aripagas saying, maybe known what this new doctrine is of which you speak. For you are bringing some strange things to our ears. Therefore, we want to know what these things mean. Okay, okay, let's break it up, right? Let's read verse 16. While Paul was waiting, what was Paul doing? He went to Athens. He's waiting for his team to come. So, while he was waiting, he was greatly distressed to see the city full of idols. What is the word distressed? He was burdened in his heart. Why are these people, you know, they have so many idols here. So, he was greatly distressed, okay? No, he reasoned. What did he do? Was that distress, was that sadness just sitting inside? No, he did something about it. What did he do? He reasoned in the synagogue both with the Jews and the God fearing Greeks as well as in the marketplace day by day with those who happened to be there. Right, so they were Jews. They were God fearing Greeks. It's not like they were believers, right? They were just there, people who, you know, believed in God. But among them was also these two, Epicurean and what's the other one? Which one? Stoics. Epicurean and Stoics. Now, they're all sitting there. Listen to what's happening here. Now, Paul is preaching to them. He's teaching them. And a group of Epicurean and Stoic philosophers began to debate among themselves. And some of them asked, what is this babbler talking about? We've never heard of this. We've heard of many stories. We've heard of, you know, the star becoming God, the moon is God. Everything is God for the Greeks, right? Human beings are God, right? They would, Zeno, the man, they thought he is God, right? Alexander the Great, they thought he is God. So for them, everything that is great is God. So now these people are thinking, we've never heard, we've never heard a story like this. God loves you. And so he came into this world as a human being. He died on the cross and he resurrected from the dead. And now when we believe in him, we have eternal life. What is this fellow saying? It's not making sense, but it's a new story. They've never heard of a story like this. So what are they saying? Okay, Paul, you're saying something. They said this because Paul was preaching some good news about resurrection. Then they said to him, you come to the main council in the city. There's a main place where all the, you know, for example, we have a court, right? So if there's any problem, we take people to the court, all the problems are solved. So they had something called as the Aeropagus. It is in the middle of the city where, you know, they would have all the political issues resolved. Problems between families are being resolved there. So it was more like a court. So anyone could come there and sit and listen. So they said to Paul, Paul, you're talking about some new ideas. We've not heard of this. So we are interested to learn. We are interested to hear you.   What did Paul say? No, no, no. I'm little, I will not come tomorrow. I'm busy. Did he say that? Did Paul say, I only minister to a few people. Did he say that? Oh, what happened? Then they took him, brought him to Aeropagus. Maybe no verse 19, maybe no. What is this new teaching that you are presenting? So now they, they themselves are asking the question. What are you teaching? You've not heard of the story. You are bringing some strange ideas to our ears and we would like to know what it means. Right. Verse 22, if you give Paul a chance, what will he do? He'll take the chance. He'll take every opportunity to preach. Look at verse 22. Then Paul stood up in the Aeropagus and said, people of Athens. Okay. First thing, what does he do? I see that in every way, you are religious. So he's trying to understand them.   Does he say that? No. He's saying, I see that you all are very religious. What will they feel? We are very religious. We know it. So he's trying to firstly recognize that people who he's ministering to, they are religious people. Though they are worshiping their own thing, but they are religious. They're searching for something spiritual. Right. For as I walked around and looked carefully at the objects of your worship, I even found an altar with an inscription to an unknown God. Now, number one, what does he say? Y'all are very religious people. Now, I believe the Athens would have felt, yeah, what you're saying is correct. They would have felt some kind of pride inside them. Then he says, look, I also walk around and I see that there's an idol saying to an unknown God. Right. So what has he done? He has taken their culture and he's trying to bring context. It is there to an unknown God. That means they are searching for that unknown God. Right. What does he do next?  Let me explain it to you. Right. Verse 24, Paul begins to preach. The God who made the world and everything in the world of heaven and earth does not live in temples built by human hands. Verse 25. And he is not served by human hands as if he needed anything.  These three verses has already put the foundation for Paul's message. You have built temples. You have built idols and said to an unknown God. But what you're saying is unknown. I'm revealing to you.  You can't make a God by your hand. That's what he starts with. He doesn't need a temple for you to build for him to come and stay.  Verse 27. No, 26. For one man, from one man, he made all the nations that they should inhabit the whole earth and he marked out their appointed times. Verse 27. God did this so that they would seek him and perhaps reach out for him and find him. Though he's not far from any one of us, for in him we live, we move and have our being. So what is he doing? He's trying to help them understand who this God is. Now it's not like these people are saying, okay, now I believe in God. No. Right. So he's probably looking at them and saying, trying to understand them. He goes on. Next verse. Very important. Because some of your own poets have said we are his offspring. Now this would have caught the attention of the Greeks. Why? Because Paul is saying your own people have said that your own books have said that we are his offspring. Now I'm not saying it's there in the Jewish books. Your book, what you have written, your own philosophers have written saying we are the offspring of God. So if you're building a temple and saying this is God, how can we be the offspring of this idol? Because we have breath. We have life. Are you understanding? So Paul is trying to reason with them. He's saying, no, if this is an example, this is an idol. And we are worshiping this idol. How can we be the offspring of that idol? Do we look like a projector? Projectors not living. It does not live. It does not breathe. It cannot eat. It cannot drink. It can't do anything. So Paul is saying your own prophets have said we are the offspring. So how can we be the children of this idol? So what's happening? Paul is stepping into their community or their understanding. And he's speaking. But how did this happen? Paul studied about it. It's not like the Holy Spirit told him to say that. No, he would have read about it. He would have studied about their culture. How does he know the poets have said this? Because he studied about it. Background information, understanding where people come from. Okay, let's look at this entire chapter. Then we'll pick up some points from it. Everyone understanding, right? Okay. Verse 29. Therefore, since we are gods of springs, should not that the divine being is should not think that we should not think that the divine being is like gold or silver or stone or an image made by human design and skill. In the past, God ignored or overlooked such ignorance, but now commands all everywhere to be to repent. Now he's presented the gospel. He's presented his case. Now he's saying before God said, okay, you know, he ignored such ignorance, but now you can't be ignorant. Because as I am preaching to you, you are getting to know that there is a true living God. And so he's expecting us to repent of our sins. Verse 31. Why should we repent of our sins? For he set a day when he will judge the world with justice by the man he has appointed. He has given proof of this to everyone by raising him from the dead. So he talks about Jesus's death. Now he's talking about Jesus's resurrection also. Look at what was the response. Right now, when you talk about resurrection of the dead, there are some people who will believe, there will some who will never believe it. So what is the response here? When they heard about the resurrection of the dead, some of them sneered.  Once we die, we'll go back and become the fire. Or once we die, that's the end of the story. All he's saying, you know, Jesus resurrected from the dead. So they sneered, but some others said, hey, this is a nice story. It sounds very good. We want to hear you one more time. Explain some more about this. See, you must understand these Greeks know they don't have any other work. All they want to do is learn more stories and gossiping and talking and learning new ideologies. So they say, Paul, we want to hear you again. Again, you come and talk. You share little more about this in detail, you share. So what happened? At that, Paul left the council. But look at verse 34. Okay, everyone at verse 34. Okay, look at this. Some of the people became followers of Paul and believed. Among them was Dionysius, a member of the Aeropagus and a woman named Demaris and a number of others. What did Paul do? How long did he share? How long would that, those maybe six or seven verses, how long it would have taken? Ten minutes. Ten minutes. Paul has shared the gospel. Right? Look at verse 34. Some of them became followers of Paul and they believed the gospel. So they let go of something that they understood for 20 years, 30 years, hundreds of years, generation after generation. They let it go in 10 minutes. Everyone said 10 minutes. In 10 minutes, hundreds of years of culture and wrong worship to wrong gods, they let it go and they followed Paul. And that is who followed Paul. They were not some simple people. Some of the members of the, like what you would say here in India, the members of parliament, the top guys, see that it says that, a member of the Aeropagus, that means they are all, he was a political leader in a place of authority. He believed in the gospel what Paul is saying and they followed Paul. And with this, the church was plummeted in Athens. Right? We don't have a letter. Paul doesn't write a letter, an epistle to the Athens. Right? But we know that Paul started many churches apart from the letters that he wrote. Right? And they became believers. Now, let's pick up a few points. Right? First one in chapter 17, verse 22, Paul says, without condemning Paul appreciates their inclination towards being religious. What does he say? I recognize that you all are religious people. You're searching for a God. So he didn't condemn them. He didn't say, you know, you're worshiping wrong gods. Let me tell you, if you believe in Jesus, all of this, no, he didn't do that. He appreciated them. So what is the learning for us? Imagine you're speaking to a friend who is maybe a Hindu or a Muslim. Right? What is the first thing you must do? Never go to them and say, hey, there's all devils. This is different levels of devils. Now do that. But you know what you can do? You can appreciate them. Why? Now, if you look at a Muslim, they pray five times a day. We don't do one time a day also. And even if we pray one time a day, we are half asleep. But they don't do that five times a day. And they're so fervent. They're so disciplined. So appreciate that. You're not appreciating what they believe in. But you're appreciating them. You're saying, hey, I see that you're very religious. You know, five times a day. It's a lot of effort. And I also noticed that on Fridays, you'll close your businesses and go for prayer. And you'll, during Ramadan, you'll fast for 40 days from morning to evening. They don't swallow their spit. And they work. You think we can do that? Here, as Christians, when we fast, we go, oh, I'm fasting. I can't move. I haven't eaten for three days. They don't do all that. Have you seen them? When they are fasting, it doesn't matter. They are working. They can be doing hard work, yet they will fast. So when you look at them, you know, appreciate them. Don't look down upon what they're doing. You know, one more interesting thing about Islam. Islam believes that everyone are equal. You can come in a big luxury car. And you can have one person pushing a vegetable cart coming into the mosque. They both have to come to the same place. It doesn't matter. They both have to go to the same place, wash their hands in the same place, pray in the same place, go out in the same place. So you've got to understand them. Is that there in Christianity? I doubt it. Somebody comes in a big car into church. What will you do? We'll open the door for them. We'll put a red carpet. Please come. You can sit right in front. That's not there in Islam. Right? And it's true. It's true. There is such a unity among them, which is a strong thing. And there are things we can learn from them. But what I'm saying is appreciate them. Appreciate. And even when you talk about the Hindus, right? First, you appreciate them. Never condemn them. It's not like you're saying, you know, you're doing everything. We may know it, but appreciate. Even if there's two things that you can appreciate in them. Hey, I heard, you know, this festival of lights. I was sharing the gospel once with the Hindus. Festival of lights. Oh, I love my children. Love this bursting crackers and all. So what did I do? I asked him, what is the lights all about? No, all of us burst crackers and all. What's it about? The entire nation, everyone burst crackers and it doesn't matter whether you're Christian, you're Hindu, you're Muslim, everyone burst crackers. What's it about? No, I know what's it about, but I wanted him to tell me. So he started explaining like this, this, this.  And I hope we had light in ourselves. We have so much that we hide so much that we so much of sin wrongdoing. Now, remember when you talk about sin to a Hindu or a Muslim, they know what it is. It's not like what is sin? They will not ask. They know what is sin, right? But through that, I was able to minister just by asking one question. What is the festival of lights? Diwali. What is it? I know it, but just asking, wanted him to tell me, wanted to get his understanding. You get what I'm saying, right? So recognize, understand what they are going through to use something they relate to and use that as a starting point. Paul, what did he do? He said, I see that you have an idol saying to an unknown God. So you relate to them, right? How many of you have entered a mosque? Only one person? Okay. Okay, I'm not saying you should go. But I've gone many times when I just became a believer. I've seen it. I've seen it. I've entered and, you know, it was, it's such a learning. There's so much of discipline. So much of discipline. You can't sit there with a phone there, looking at Facebook and Instagram. They'll whack you. They kick you out. That's what they do. You can't do that. They want to even do that. That's so much of respect for God. So much of learning. So use something that they have and understand them, relate to them. One of the questions that I always ask Muslims is, why do you wash your hands and feet before prayer? They wash their face also. There's a reason for that. And later on in this book, we look at how to relate to a Muslim and a Hindu. We'll look at that as well. Okay, third one. Let them know that you have made an effort to know and understand what they believe in. What did Paul say? Some of your own poets have said that we are the offsprings of God. That means Apostle Paul made an effort. Now he didn't go to Google and read. Right? When he was there in Athens, he didn't go to Google and read. Did he? Did he go to Google and read about Athens? No. So he made an effort. He went back. He probably got some, he went to those probably some poets and some writers there. He tried to understand what is this? What is, what is their learning? Right? Because it says there in the initial, initial verses, Paul was waiting for his team to come. Now waiting means not sitting under the coconut tree and enjoying. When will these fellows come? No, he was probably making an effort to find out what's happening in this place. What do they believe in? It's the first time that Paul has gone there. He's not gone there two, three times, right? So it's a new thing for him as well. But he made the effort.  So that means he's talking something sensible. Right? Then what was the outcome? No, sorry. Fourthly, he shared the message. He talked about Jesus. He talked about repentance, judgment, resurrection. He brought the gospel. Now what was the outcome? Some of them mocked. Everyone say mocked. Some of them accepted. Say mocked, accepted. When you preach the gospel, some of them will. Some of them will. You just have to move on. Those are the two responses you will get. Some of them will accept. Some of them will mock. Don't start crying when somebody mocks. Oh, he didn't accept. No, just move on. Right? From Athens, then Paul traveled 55 miles. Very close distance. Maybe about 30, 35 kilometers away. Paul goes to Corinth. Now we know about Corinth, no? Paul started the church in Corinth. So we will stop here. And what we will do is we will pick up from understanding Hindus and Muslims from the next class. And then we will try and also do chapter 9 next class. So everyone understood this. What are the two belief systems of the Asians? Epicurean? Stoics. Right? And they had their own belief system. So what did Paul do? Tell me some of the things he did. Okay, one by one. Those online also can say. Tell me.  Who wants to share? He reasoned with them. Sorry, Ghatrud. He reasoned with them. He reasoned with them. Okay. He did not condemn them. Very important. What else? Sorry? He? He appreciates them. Very good. Appreciates them. What else? What else? You think of what you understood from this. He learned from their own scripture. Very good. What else? He? He read about their culture. Okay. Very good. What else? Yeah. Appreciated is already over. Now while preaching, what did he do? He addresses their very good. He addresses their ignorance. Right? Yeah. What else he does? So while preaching, what did he do? Did he talk about all Moses and Abraham and all? What did he talk? He preached about Jesus. He spoke about salvation. He spoke to the point. He didn't give stories. Moses was in the desert for 40 years. Then God called him again. Then there was a burning bush. Then after Moses came another man named Joshua. Did he share all of that? To the point. What else he did? Towards the end. What did he do? Sanjay says he never tried to argue or force them to believe. Very good. He never tried to argue with them or force them to believe. He gave them the opportunity to understand and believe. Right? And towards the end, what did he do? Towards the end, it says verse 33. At that, Paul left the council. And some of them became believers. Paul left the council, which means whatever time was given to him, he shared and he made use of that time and he moved on. It was not like he said, I want to stay here for the next one hour and teach everyone. Whatever time was given to him. He valued people's time. He valued what was given to him. And he used it effectively. Finally, it says verse 34. Among them, some of them became believers. You know what's interesting here? Did Paul say, you know, I was 33 years old. I was in the army. I was a temple guard. I was a preacher. Then I was going to Damascus. I saw the light of Jesus came and he stood. Then I was blind for three days. Did he explain all of that? Does he share his testimony? All he's saying is, this is what the gospel is. The simple gospel made people believe in Jesus. Amen? So that's what you and I can do. I will pick up from additional insights on how Paul ministered from next class. Thank you everyone. Have a great day ahead. See you next month.


Good afternoon Foundation staff. This is level 4 researcher Theron Sherman and today's broadcast is a brief view on a real asshole of an anomaly We're talking about scp 5950 object class Euclid special containment procedures scp 5950-1 and scp 5950-2 were held within livestock containment Enclosure 9 at site 21 and provided with the standard maintenance required of domesticated livestock if new scp 5950 instances are discovered there to be contained in even numbers within aquatic transportation units according to capacity limits If new scp 5950 instances are discovered there to be contained in even numbers within aquatic transportation units according to capacity limits Instances found already in possession of a host will be contained evenly within humanoid transportation units All recovered instances will then be transported to para zoology site 72 for permanent containment and the current containment procedures will be updated description scp 5950 is a parasitic subspecies of Pacific flying squid genus totorotus pacificus capable of fully integrating themselves into human hosts scp 5950 instances are approximately 60 centimeters in length and weigh 1.5 kilograms Instances have a large human like eye on the upper tip of their mantle while the lower mantle terminates in eight legs and Two frayed tentacles compose the nervous tissue without a host the average lifespan of an scp 5950 instances approximately one year Which is analogous to non-anomalous variants members of scp 5950 use organic jet propulsion to enter a human host's rectum similar to the way non-anomalous Pacific flying squid use it for aerial local motion After entering a host's anus the scp 5950 instance will position itself So its head will remain protruding from the host functioning as the new visual center The eight legs fused to the host's rectum at which time the scp 5950 instance will secrete a complex toxin composed of propa fall Penta barbital thea pentyl sodium chloride and water This toxin puts the host in a semi-comatose Paralytic state during the duration the at best station the scp 5950 instance then attaches its two tentacles to the host's spinal cord It assumes full control of the body Once fully integrated scp 5950 instances will consume food and water using the host's mouth excreting waste from the same orifice The scp 5950's host will walk backward in a quadrupedal fashion with their posterior held in upwards Orientation so that their anal eye is faced in the direction of motion While possessing a host an scp 5950 instances average lifespan is approximately 20 years Remaining in the same host for the duration of its life Addendum 5951 Two scp 5950 instances were acquired by the foundation in 1945 Along with several other anomalies formerly contained by egemia The recently discovered species was known to egemia as the shireme squid named after the folklore stories surrounding the species Due to the strain of egemia's wartime effort They only documented basic information on scp 5950 out of the three captured instances Only two remained alive with a third dying of unknown causes The instructions included with the instances indicated that human hosts would be required within six months to keep them alive upon containment D00789 a 25 year old male and D00788 a 24 year old female were chosen as hosts for the scp 5950 instances Once fully integrated into their hosts the instances were held within livestock containment inclusion 9 at site 21 Incaptivity scp 5950 display characteristics typically associated with grazing herbivores Consuming approximately two kilograms of vegetation daily the two instances designated scp 5950-1 and scp 5950-2 Acted as a mating pair though. No offspring were ever produced Addendum 5950-2 on September 22nd, 1965 scp 5950-2 was found deceased with scp 5950-1 curled around it in the fetal position scp 5950-1 refused to move away from scp 5950-2 Having to be forcefully removed its interglutial cleft was covered in a saline solution an autopsy revealed scp 5950-2 experienced sudden cardiac arrest leading to death Following this incident scp 5950-1 displayed behavior typically associated with mourning including lethargy consistent tear production and refusal to eat or drink after approximately two weeks scp 5950-1 died due to dehydration and stress-induced cardiomyopathy Whoo, I've been working here for years and that is at least in the top 47 of the weirdest things I've seen Hell, that's the second butthole surfer I've seen in the last two months All right staff that ends our broadcast use your foundation encrypted YouTube account to like comment subscribe Hit the bell and support our broadcast at patreon.com. That's site 42