Hello, I'm going to talk now about cycles for animated feature film production So my name is Stefan van I'm a C++ developer most of the time. There's some Python thrown in and Maybe a bit new to Blender here. I've been working in the 3d industry for over 15 years I was one of the core developers on poser for many many years developed a whole bunch of render features That were quite our voc at the time and in 2015 I started building a path tracer for poser and we decided to actually end up using cycles and integrating it into poser Which was a good experience with it and it started submitting bug fixes and It's just in the beginning of this year. I started working as a freelancer and my current job is improving cycles for tangent animation So tangent animation if you have been here last year Just show of hands who has seen the talk making Aussie with Blender last year Okay, so the rest of you can catch up on YouTube. It's recorded But basically they can give a better introduction of tangent animation I possibly could so I'm not going to try But just in a nutshell tangent animation is an animation studio in Canada It's going to be around 150 people. I cannot say exactly and they're doing feature film production using Blender The first feature they released is called Aussie and it made it to theaters in several countries last or yeah last year Currently in production. It's a movie called next-gen. It has a budget of 30 million dollars and is scheduled to be released next year I know you're all excited to see something of it I can tell you all about Nothing. I wish I could I really wish I could show you anything about it, but I just do not have permission Next year I'm sure No, instead I'm going to talk about all the technical sites on the rendering Street, so if you've seen the talk from Francesco this morning We're running in some of the same issues as they were running into in the Asian 327 What is the one thing that's always too long? Render time As Francesco was always being asked like what is your render time? It's too long It is always too long render times too long your scenes are too big You cannot render on a GPU and you have over 100,000 frames to render each frame takes several hours if not days So why is rendering so hard Well, you have hundreds of millions of race a trace per frame you have hundreds of millions of triangles per frame and Main cost is always finding out which ray of these millions hits which of the million triangles and if you can make that faster You have made rendering faster So I was basically my first job was to make rendering faster So I look at who's to who's who's better at this than I am It turns out there's a library out there that does rate tracing on a CPU and it's highly optimized and it's really good It's called Embry Developed by people at Intel. They've published several papers about it and it's completely open source We can use it. It supports triangles quads subdivision displacements and all the features you would want And it's continuously being developed so we get free bug fixes from it all the time The only thing that's missing is GPU support Since it's Intel I guess But anyway, that looked very promising so I started integrating it into cycles And it's just used it as a drop-in replacement for what is already in cycles for doing those intersections So it's supporting all the primitives that cycle stuff through triangles. There's the hair And subdivision displacements are just treated the same way as they're treated in cycles already They all turn to little triangles and then we ray-trace them and the important part for production As they had in the agent as well motion blur is something you do not want to live without and it's always very costly So there was a few modifications to Embry not very much just to line up a few things couple hundred lines of cycles code All you see in the end. It's just a little check box So how does it perform? Do we actually gain anything from all the work that I did? First thing you run is a usual benchmark suite. You're all familiar with this these are numbers from an early version run on a standard laptop and Well, some of them are actually slower Some are faster some are a lot faster and the larger scenes also are faster But I was talking about tens of gigabytes of stuff to render So how does it look like the bigger scenes? Oh I skipped the memory Memory is also doing Roughly the same some that's better sometimes worse, but let's move on to the big stuff, right? agent so the agent scenes this is one of the stills I Wanted a more problematic ones from what I hear And just assuming on what the results were this is not my laptop. This is a bigger machine we're looking at render time of 14 minutes for a Very noisy frame and about five and a half gigabytes of memory being used Doing the same thing in Emory Gives you what looks like the same result if you do a pixel by pixel comparison. You see there's some differences in the air But if I hadn't told you you probably would not know that this is a different image And there well we saved two minutes and memory went up a little Now this is for motion blur Doing the same scene again with motion blur Which as you can see there's not a lot of motion in there, right? This is a head is moving a little the curling iron is moving a little But it's not one of those extreme motion across the screen and scenes, right? It's just a simple simple little motion frame So in standard cycles this goes from 14 minutes to an hour and your memory almost doubled It's the least what three gigabytes more than before Doing the same thing in cycles is the frame again Rendering this in 14 minutes memory went also up but not not far so 16 minutes to less than 15 minutes nine gigabytes of six gigabytes. It's it's four times faster Using two-thirds of the memory. So yeah, it turns out we can have both memory and speed Now a next-gen I'm not going to show you the frame, but I'm going to show you the render locks So the flat line here means We stopped the job because the weekend was over So we don't know how long these render they might be somewhere up there We I don't know but basically this line here is about 48 hours And this is got to be somewhere around four hours and The red line is using standard standard cycles right so some of these frames a lot of motion They're unpredictably high some of them are actually reasonable right just around four hours of frame But your average production manager would probably prefer having a flat line over here Rather than having something that jumps up and down because it's just unpredictable, right? You send the frames off for a weekend want to review them in the morning and half of them didn't even show up and Instead in using Embry we get a much nicer profile, right? So this is maybe around 10 hours May be bordering 14. I didn't do the exact math But it's just a lot more predictable right and so for for the individual frame Some of them actually got slower, but overall it's a lot of savings here So the future of this There's more things that I could support right now It's just supporting the basic level of what cycles was already but there's more time more memory and more performance to be gained from from Supporting quad meshes directly that could save just a quarter of memory right there And if it could handle subdivisions and displacements by itself then we could save time Not doing them in advance, but actually doing them when they're necessary, which is what Embry promises Also using the split kernel may or may not give a benefit using Embry It's hard to tell without trying it And there's one or two little things that are slightly better in cycles and there are an Embry and Why not it's open source. We're sharing for all friends take some cycles code given back to Embry so everybody else can use it and The final project would be of course if he could use the same acceleration for the GPU, right? Anyone that has a scene that actually renders on a GPU because it fits in memory, but has motion blur Sure, why not have it ten times faster? We'd be happy So that was the one thing we've had render time is a big problem and in cases we've got it to be ten times faster Sometimes equal but a good chunk of savings right there What's next? What is what is your other problem you always have? memory So looking at that Again a render log 100 megs right there, and it's still loading textures actually not started rendering it Where does all the memory go it goes through your textures textures are huge these days You have several material layers. You have albedo roughness material normal everywhere and your taxes are at least 4k Right if not 16k and every pebble has a texture and so you end up with tens of gigabytes And where do they go right? You're You're rendering a 4k image frame for a movie So every single texture has more pixels than the resulting frame Where do those pixels go? Well, most of them don't even show up on screen. They're behind the camera There's somewhere to the right on top or there's the huge texture and it shows up this big on screen So instead of loading all the textures before rendering We just load no texture before rendering and instead we just load the textures when we need them and what we need them and we take a fixed size of memory declare this to be our texture memory and With a bit of optimization we can save files to disk in a way that we can pick only a certain junk out of it And if you do map mapping we also solve the problem that if you're looking at this small You don't have to go all over the file to fix to find the individual pixels But actually have all of them in one place Now that is quite some work to actually figure out which pixel to pick when and where at what size you see it on screen So I'm not going to bother you with the full details But we just have to trace the footprint of array basically how big does the ray get through reflections and diffuse Bounds of sometimes it gets wider sometimes it gets narrower And for the actual management of the cache loading it loading the files evicting them keep making sure you're not exceeding memory It's also something already there and there's a library called in it open image IO And it turns out cycles is already using it Just not for a texture cache Or at least not an efficient way or some ways you could force it to use and so I just extended it based on that and The texture cache and open image has been production tested There's been a lot of Hollywood films already out that use it So we know it's working any bug that's in there is my bug and that theirs And putting it into cycles just like before it's just a little bit of UI you can pick your texture size and set a few options that Probably will stay on most of the time and You can use a memory right instead of loading tens of gigabytes of textures You just tell it how much you want to use I can tell it well use one gigabyte of memory and that's it And it'll just fill them up as needed and Empty it out when there's old textures and you know ones have to come in It does slow down rendering though, so we measured about 10% depending on the cache size if you use a really small cache size You can double or triple your render time if you make it really large It's almost the same It also requires you to pay some attention to the color space I think by now everyone is aware of color space is a topic But even more so as soon as you do mip mapping Setting the wrong color space becomes more apparent than before So it turns out we're not actually using this attention in production at this moment It's just not at the point yet where I think it's complete enough stable enough reliable enough and What I did not mention before about Embry is that switching to Embry Just like you saw in the ancient scene where it went from nine gigs to six gigs Equally the scenes went from 90 gigabytes to 60 gigabytes just by switching to Embry so so we also saved memory right there and Using texture caching just was not that important anymore. So it's something for the future and We just need to figure out now how to do proper map maps for normal maps and displacements Where to put those files on the file system? Just to make sure we actually have right permissions and we don't actually fill up your hard drive with useless textures all over the place And there's always some more performance using performance tuning we could do Again the CPU split kernel could help us maybe getting more better at cache performance out of it and Everybody's always asking about a GPU which which will be really hard for texture caching, but I'm not rolling out that it's impossible Now there's a third thing to talk about the third thing It's more important than render time and it's more important saving memory Who here wishes they had a 48 hour day? Use of time right you can always buy another computer you can always buy more memory But you cannot clone your best animator. You cannot clone your best render render those those people in your In your team, they're irreplaceable and you want to make sure they use your time efficiently so We could improve this everywhere right blender is good, but it's never perfect. You could always make things easier to use and The one thing I was working on for this time is making compositing easier Now if you want to create a mat for a certain object right now, what you have is ID mats in and blender So you give each object or material you give it as ID number And you get a false color image back that's basically has some number for each pixel Telling you what object is on this pixel But it's only one object Most of the things that are on screen actually more than one object Either there's a border and you get anti-aliasing or death of field you see a blurry image of one object and one behind it motion blur has several objects in one place and also transparency and The ID passes also requires a manual setup right you need to assign these numbers to these objects And you need to keep a table of actually which numbers which objects so you know it later on So you actually end up with a large extra sheets in production that is just numbers and names and numbers of names of objects Turns out again, I'm not the smart guy somebody else at the work already That's like something called crypto mat Which uses the name of the object or the object material as an identifier as opposed to a number and it turns that into a little Hash so it crunches it and stays it to a color channel The coverage of how much that object Takes in a pixel It's encoded the next color channel. So just using regular RGB a you can already store two layers of depth so transparency layers or anti-aliasing and If you take if you take three layers of RGB a data you already have six layers of depth for compositing for any number of materials requiring no setup other than just You know clicking the box So you click this box render the image and you have your your mats already set up In the compositor you have a new note Where you take those extra layers and put them in And you can type your name of what you want to select and not sure if you can see it from the back But I was typing window and lower intake actually see the lower intake being matted out and Very transparent very faintly the window because it's mostly transparent Or Instead of actually typing the name you have these color pickers And you just pick something from false color image You click the body of a car and you get the mat of the body of the car including the little part that's behind a transparent window And In action I did a little video of how this looks like when you're actually using it. So here's a little setup a well-known scene I think Just rendered all with a simple crypto mat layer and here's a little color correction being applied just to make sure You can see that I'm changing something So this is program or art. It's nothing fancy Um This here is a false color image that it can use to actually pick objects from from the scene with a color picker And let's see if the video is playing All right, just going quickly over it and next time going you just type the name of the jacket So the geometry name of the jacket And then it's gonna give us the color correction on the jacket So typing the name And here's a jacket Same thing again typing the body and here's the next one I could just go in and type and delete or I can actually use the color picker pick the body and It's gone same thing for this This is and now instead I decide well. I want to have the blades of grass here. I'll click them Here they are. I can add the rocks So these are coming up next this one has a death of feel on it Let's add in Frank the sheep and because it's still live we can actually edit and change the colors and everything Mind you the limitation is still the input is RGB a right. It's not deaf It's not multiple layers. So the color correction applied to the sheep just takes the The grass in front of it with it to a certain degree. So it's not deep compositing But it's a significant improvement where it's just your single layers, I think So and that concludes the three things I was supposed to present today. So Emory is running faster in cycles open image IO in cycles uses a lot less memory and Crypto mad makes compositing easier and the bonus features that does not just three cycles features It's actually a new compositor note as well How far are these things from master So I've talked to some people here. We're gonna make branches for crypto mad and Emory on get blender orc Open image. Oh, I think it's just not ready yet for master at all. It's just more work to be done But that doesn't mean we're keeping it from you Source code is public. This is The tangent internal repository. These are the branches for each feature based off of an older version of master But they will move to get blender orc really soon. All right, that's it. Thank you very much


Okay, this is an interesting product. This is the Insect Repelling Super Bands. Great for all outdoor activities. Slide it on your wrist or ankle and enjoy a bug-free day. Isn't that pretty cool? Long-lasting, easy to use, no oily mess.  No oily mess. They're waterproof so you can go in the water with them swimming and stuff. They're not toxic. All right? Evergreen. Let me see what else it says on here. Great for picnics, barbecues, camping, RVs, fishing, and all other outdoor activities. So, there it comes. How many are in here? I think there's like 50 of them in here. Can't see where it says it on here. Nice. It contains 50 single units of Super Bands. So, there's 50 of them in here. They come in different colors. Green, pink, yellow. It contains one insect repelling wristband. Just slip it on, repels mosquitoes. So, the active ingredients are geranium oil, lemongrass oil, citronella oil, and the inner ingredients are polyurethane, zinc iron oxide, zinc oxide, zinc steroid, and coloring depending on where color it is. The cautionary statement is not intended for children under three. In the rare case of irritation, discontinue use and wash area with mild soap and water. Use with adult supervision. Directions for use. Simply slide the Super Band on your wrist or ankle. Each wristband lasts up to 200 hours after the seal is broken. 200 hours after the seal is broken. This will work. Repel mosquitoes.  Okay, that's the whole weekend. All right? So, there you go.


Hello and Happy Holidays, I'm Kristen Folletti and thanks for joining us at News Desk on SiliconANGLE TV. As 2012 comes to a close, we're spending some time reflecting on the stories this year that have had a significant impact in the tech world. Joining us once again to look at the year in review and to provide his analysis on the future of big data is Wikibon analyst Jeff Kelly. Welcome back to the program and thanks again for joining us Jeff. Well thanks for having me Chris, good to be here. We saw a lot of buzz surrounding big data and the election earlier this year and big data even got its own book called The Human Face of Big Data. In an interview on November 20th, you spoke on how the idea of big data in the mainstream loses the formal term big data and is often presented to the public as analytics or something else. Should we be concerned with the rebranding of big data or do you see this as a positive sign? No, I wouldn't be concerned. I think in fact it may be a positive sign for a number of reasons namely one of the issues when you're talking about big data in a kind of a mainstream sense is that people who are not in the industry tend to think big data, kind of big brother, a lot of privacy concerns, things like that. So potentially not using that particular term might actually be a positive just in terms of the kind of the connotations and the ideas it brings to mind. But I think further we're going to see that term at some point really not be applicable anymore because pretty much everything's going to be big data. When you talk about data, it's all going to be large volumes of data, multiple varieties of data coming from multiple sources coming in very quickly, high velocity. So I think big data is just going to become the norm and we can actually drop the big from that term and it's really just going to be data and the analytics and services that are provided on top of it. In sharing some of his predictions about the evolution of big data in 2013, Silicon Angle founding editor Mark Risen Hopkins said he expects to see an upswing in data journalism specifically saying there's a literacy process that's going to need to take place. Data science is not infallible and is subject to some biases if it's not handled properly. What's your take on data journalism and how do you think we'll see it develop over the next few years? Well, I certainly think you're going to see an uptick in more data intensive or data focused journalism right now. I mean, the Guardian in the UK is one of one media outlet that's kind of ahead of most, I'd say along with the New York Times in terms of bringing data science and analytics to bear on their reporting. There's a couple things to consider, however, in terms of expanding that to more organizations, to more news organizations and that is one, as you mentioned, the skills needed to analyze and parse data that are not necessarily part of the average journalist's tool set right now. So there's going to be a learning curve there. The other issue is, especially when it comes to journalism focused on kind of public policy issues, a lot of the data concern here is housed within government agencies. And government agencies at this point, while some are certainly advancing their data management practices, others are not. So traditionally, especially on the local level when you're doing local news stories, it's not uncommon for journalists to sit with boxes of documents and files and go through them by hand to kind of tabulate data. That, obviously, if data is not in a format where it can be analyzed using technology, then obviously that's going to stall or slow down the process of kind of expanding data focused journalism. So on the one hand, certainly journalists need to improve their skills. On the other hand, the data sources, the data they want to analyze needs to kind of be put into format that it can be analyzed. And that's going to take some time, particularly in government agencies and generally on the state and local level. So then do you think we'll start to see more data scientists in the newsroom? You know, I think so. I don't know if they'll use that term necessarily.  I think as data science and analytics is applied more and more to journalism, it's just going to become a standard way of reporting. So you might not see the term data scientists, you know, particularly mentioned or used in the newsroom. But I think, you know, some of those skills will be prerequisite for a lot of journalists. You know, in addition to some of the more specialized journalists that focus specifically on understanding database technology and getting the most understanding how to really analyze data at a very granular level, which there are already some journalists in newsrooms around the country that operate in that database based journalists to kind of help the rest of the newsroom. But those skills are going to expand to your more average journalists as the years progress. On November 20th, we spoke with you about Europe's proposed Right to Be Forgotten Act, an act that has been the subject of intense debate with many people arguing it's simply not practical in the age of the Internet for any data to be reliably expunged from history. Can you briefly summarize the act for us and explain the implications such an act would have for big data? Well, the idea simply is that, you know, a consumer, a citizen in the European Union should have the ability to erase essentially their digital footprint. The problem is it's not practical. There's really no practical way to do that. Data points that make up a person's overall profile are housed in disparate sources among disparate organizations and enterprises. And in many cases, willingly or not, citizens have given their consent to have this data collected. They may not even realize that it's often buried in fine print and user agreements and things for social networking and social media sites.  So practically speaking, it's going to be very, it would be very difficult to implement such a policy. And, you know, frankly, I think people are starting to understand that really it's not only is it not possible, but they're actually benefits when your personal data is out there. And not just in the way that, you know, companies advertise to you in a more personalized way, but in other services that they can bring to bear to improve, you know, the user experience with various companies and organizations. In your opinion, do you think people want to be forgotten or has a data footprint sort of become a part of us all? Well, as I said, I think it's mixed right now. I think, you know, the so-called millennial generation, I don't think they even really think about it too much.  But I think as the years progressed, it's just going to become part of, you know, our mainstream experience online. Can you discuss the differences between commercial uses versus real-world applications of big data? Sure. So, you know, I think there are certainly there are commercial opportunities for organizations to exploit big data, you know, whether it's in retail, marketing, trying to better target and segment customers for marketing campaigns to drive more revenue, you know, if it's financial services looking to analyze financial and stock data, for instance, to make better, you know, asset purchases and sales, whatever it might be, you know, there's any number of commercial use cases. I think when it comes to more socially focused use cases, you know, that's when you're starting to talk about what the government can do to improve their services, whether it's, you know, make it easier to interact with various government agencies by personalizing service online based on analyzing user data. We all know we've all, you know, been through the experience of waiting at the DMV.  If you could, you know, do a lot of those types of activities online and make it easier to do, do it via smartphone and to do it in a personalized way, you know, those are some opportunities there for government agencies and social services to make their interaction with the public a little bit easier and more beneficial. We spoke this year about Google being under scrutiny for promoting its own services and search results. How could big data be applied to an open noncommercial search engine? And would that be better in your opinion? Well, I mean, I think think about it as a user. If you were, you know, going to Google or any other search engine, you know, assuming you don't have a specific agenda, you're looking for the best results to your search. You're not interested necessarily in having the search engine or the operator of the search engine deliver results that are more beneficial to them. So I think it certainly can be useful to have a kind of content neutral or, you know, a neutral approach to returning search results based on just what the data is telling them. On the other hand, you can understand why someone like Google would want to promote their own services within their search engine. So the question is balanced there. And, you know, frankly, it's probably a legal question as well. You know, there are currently legal cases outstanding that are going to determine this question. Is it is it okay for Google to, you know, promote their own services higher up in search results when organically perhaps they wouldn't appear there? And if so, to what level? So, you know, you could argue on the one hand that, you know, yeah, a perfectly neutral search engine that, you know, that were the analytics and the data behind the search algorithms is 100% neutral and just delivers the best results best on what the data is telling them certainly could be useful for a lot of people. But on the other hand, you know, when Google, a lot of people, you know, are involved or in the Google ecosystem, they use Gmail, they use Google Plus or not that many using Google Plus, but that's increasing a little bit, you know, Google Drive for documents and other things. So if you're one of those users, perhaps you prefer your results to be a little bit biased towards Google because that's part of your ecosystem. So, you know, can go either way. It'll be interesting to see how these core cases play out. And that will really determine where that where this issue goes. We found out earlier this year that Facebook has been internally allowing a select number of marketers to see data that divulged information about the brand's consumers, including interests, such as their favorite bands or TV shows. In your opinion, should social media sites like Facebook and Twitter be able to charge for access to such user data or should it be public property? Well, that's a good question. I think they I think they should be able to charge for it because, you know, they're providing a service to consumers and in exchange, the consumers are essentially giving them the data. Now, the problem is some consumers don't realize they're doing that.  In fact, it's critical to their success going forward. I mean, part of the reason for the botched IPO and the simply lower stock price was all around a well-housed Facebook going to monetize all this user data. And in order to do that, they've got to essentially create services that are attractive to advertisers based on the data they collected from users. I mean, there's really no way around that. So, you know, in that sense, they're selling data. So they're selling personal data again. But it's important to note that not personal in the sense that it's, you know, they know necessarily that it's Kelly's Facebook feed. And here's here's all the personal information about him as a spouse is how many children he has where he lives, all that kind of information. It's it's anonymized aggregate personal data to allow advertisers to kind of segment users and target the types of users they want to target with their advertising and marketing campaigns. So in that sense, yeah, I think it's perfectly reasonable and for Facebook and others to do that. And I don't see any way around doing that if they want to be financially successful and viable. What kinds of issues can a data footprint have on our privacy?   That's part of the digital footprint. And even if you take it down from Facebook or wherever, maybe, you know, it could have been copied by someone else, it could be posted elsewhere. So, you know, you really need to be careful what you post online because your digital footprint really is permanent. Jeff, I'm going to stop you again so that we can continue more on this discussion tomorrow. But thank you once again for your time. My pleasure. So for part three of our holiday News Desk segment with Wikibon analyst Jeff Kelly, be sure to join us tomorrow at News Desk on Silicon Angle TV.


In this video, we provide the solution to question number six for practice exam number three for math 1050. And we have to build a polynomial. It has real coefficients. It has degree three, which means it has three roots. And two of those roots are three and i plus one. Well, given that i plus one is a root, it's complex conjugate. It has to also be a root since there are real coefficients. And so that gives us the three roots that we're looking for. So then we have to essentially multiply out our polynomial at that moment. So we have x minus three right here. We have x minus one plus i. And then we have x minus one minus i. So I want to multiply out this part that can get a little bit t. So what I'm going to do is work it a little bit different. If I start off with x is equal to one plus i like so. What I'm going to do is I'm going to separate the real and imaginary parts so I get x minus one is equal to i. If you square both sides here, on the left-hand side, you're going to have to foil it out. So you get x squared minus 2x plus one. On the right-hand side, well, you have that i squared. That's a negative one. And adding one to both sides, you get x squared minus 2x plus two. That's equal to zero. So that gives us a polynomial who has a root one plus i, but it also has one minus i as a root in there as well. So I generally find that a simpler calculation than multiplying out these expressions right here. So this gives us that we have x minus three times x squared minus 2x plus two. Then we still have to multiply this thing out. No shortcuts on this one. So we distribute the x, you're going to get x cubed minus 2x squared plus 2x. Then distribute the negative three, you're going to get negative 3x squared plus 6x minus 6 like so. Combine like terms, we get x cubed minus 5x squared plus 8x minus 6. In which case, then that leads us to select choice B, which is the polynomial we just computed.


What's going on guys welcome back to the channel critical over here since I'm about Jordan pills nope in this video here again today So a trailer second trailer for Jordan pills nope is arriving this week now the guests at this point is Tomorrow Thursday because I actually didn't force get an email stating that the trailer Yes, we'll be arriving sometime this week because it says it says here in the email that was received to me Here's the new care. Here's the new motion posters for nope and stay tuned for the new trailer debut this week It also said no movies only in theaters July 22nd So I guess the release day of July 22nd will go through as planned as of now And we are going to get the new trailer this week now again the the date people keep throwing around even though There wasn't one specifically attached to the email that I got is tomorrow Thursday So we'll see what happens and these new character posters again These are character poster that many people I think I talked about it as well This was shown at cinema cons So I think that meant maybe what we should have been expected is that the footage shown tomorrow Or if it comes today in this new trailer whenever it comes this week We'll also have glimpses of that footage that was shown at cinema cons as well I know there was a TV spot that got shown at a basketball game I think right after I uploaded a video some people started leaving it in the comments I didn't see that TV spot. So in that TV spot You basically get a glimpse at the UFO took them to further confirm to people that there is alien activity going on or other Worldly activity going on I guess and then you had mostly a compilation of people just repeatedly saying nope Nope, you know just just the I would say pull pulling lines of the actual movie title here in the trailer or in the TV spot Just let you know Yeah, people are gonna say nope a few times in this movie There's no doubt in my mind that those are gonna be the more comedic moments just for you to break Break out and laughter. I don't know how many times people saying nope Left and right is gonna be found hilarious to to a lot of people So we'll see how that ends up going but these character posters that were released those of you have seen them They they all look great. No doubt there. They all look great We all know of course, they're looking up at something going off of that TV spot They have to no doubt be looking at that UFO There was some leaked behind the scene footage that came out not that it came out again It was leaked this was of something that somebody gets recorded during like a top gun screening that when they went to go See top gun Maverick and it was highlighting some of the stuff going on behind the scenes at one point in the In the sneak peek or in the behind the scenes You seek Lewis care to knocking somebody down and then taking their horse or something like that I'll leave a link to this stuff in the description if you're interested in watching it But I did see some people going on about how they don't think the movie will have too much to do With social commentary this time around and how it's a little bit frustrating for them But again, that's all stuff that for if you have read those plot leaks. That's where that's coming from This again could be coming from someone who again watched the movie But they missed out on a lot of the social commentary messages that are still going to be identified by you Even though I know a lot of other people came out and said it too There might still be a message that someone when watching the movie will highlight to the masses and other people Will then see oh, that's the social commentary. It could very well much be something that's subtle. It's not as again a Parent as it definitely was with get out and us And even though while a parent with get out in us, there was nothing overly forceful about it so if this one is a lot more subtle in terms of Just being like scaled back But clearly having something to say about something going on in the current climate I'm fine with that if somebody can identify it and think that and say oh, that's what I think he was getting at Unless of course Jordan Peele comes out and say yeah, there's no social commentary in it I think there might be something we we could miss if we overlook how subtle it's woven into the fabric of the story because it could just mostly is be told from this angle of this is a this is a town being terrorized by a unknown flying object unidentifiable flying object and You know, everybody is running around scared They want answers and they want to know what is going on What is what is inside the UFO are aliens here? Are they in danger? Again, it could have a lot to say about how people react when they're when they're scared feeling justified in their irrational behavior out Of fear in the name of thinking that they're doing the triumphant thing when really they're just being Very cruel to maybe a lot of people around them Have some it might very well have something to say about how people treat each other in a crisis So in the film as it says here in this plot synopsis residents in a lonely gulch of in the California Residents in a lonely gulch of in the California who bear witness to an uncanny and chilling discovery This chilling discovery, I guess would have to of course be aliens However, again fight for those of you who watch my videos. I've been told that the movie itself Doesn't show too much of the aliens as much as it is showing this UFO And we'll all see which one is true. It's not that the aliens aren't shown at all But apparently the UFO was shown much more. I've also seen the idea. I've talked about it There may be that moment in the trailer That we got earlier this year where we think we see Kahlua's character looking at an alien head That's probably someone in a costume trying to scare him It could be Kiki's character and again going on about the whole villain role for Kiki The villain role that might have been planned for Kiki could have been shifted into another character Due to the fact that it got I guess released to the public so they could have of course made a last-minute change or something like that and gone with a different version to shoot because of That that idea of her being the villain being let out to the public or she very well could be involved with What's going on in some capacity the idea again, of course that some of these people are Aliens living among us and this is a part of a larger plan that's been going on and Identities will be revealed along the way showing their allegiance to the things that they have been Claiming to appear to be running away from but they've been collaborating with them for quite some time I can see that happening Steven Young's character definitely seems to have Something going on there with him as we see from a lot of the marketing stuff the steels If you connect certain dots with pictures and just speculate you could you could think that he seems to have arrived Something happens and he tries to capitalize off it in a way because we see in the trailer how there are things that look like they're they're on sale at it at it is at a of Presentation from him regarding a horse and then he's selling like this alien merchandise So there's definitely something going on there with his character But we'll see what happens later this week when the footage of the new trailer is released online and what it has to offer us And if it'll get you any more excited for the movie than you already are the movie again Seems like it'll be sticking to its July 22nd release date So I know a lot of you are excited about maybe your most anticipated movie of the summer So we'll see how that goes, but if you guys are excited for note Let me know down in the comment section below if you haven't already of course make sure you subscribe turn on Publication there is a video in the description links social media accounts on Facebook Twitter and Instagram You can message me there, of course, and let me see movies new their views like me to cover in the future with all that in My guys, I will see you in the next video