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Control Your Future in the AI Revolution

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说明

As AI rapidly advances, we stand at the crossroads of AI's immense potential and the risk and challenges it brings. How will this revolutionary technology affect our workflows and jobs? Join us to learn how the latest AI innovations can accelerate creativity, visualization, and simulation instead of replacing our skills. Get an inside look at experimental projects that transform co-creation between designers and AI. With the right mindset and tools, we can harness AI as a partner to accelerate our creativity, not replace it. Be part of the AI revolution and discover how to co-create the future of accelerated design and creativity!

主要学习内容

  • Understand near-horizon AI developments that pose challenges to workflows for designers to creatives.
  • Learn about AI-driven visualization innovations that will be key to AI augmenting and accelerating creativity and design.

讲师

  • Roderick Bates 的头像
    Roderick Bates
    Roderick Bates has made a career out of seeking and developing solutions to complex design challenges. As the Director of Corporate Development at Chaos, he is responsible for tracking the industry and market trends shaping the way Chaos customers work, both today and in the future. He collaborates with technology partners, customers, and Chaos product and R&D leaders to assess new product opportunities that will shape the future design. Previously, as a Principal at KieranTimberlake, he led the efforts to develop and commercialize software and hardware tools used by the greater AEC community to improve the environmental and operational performance of buildings.
  • Kam Star 的头像
    Kam Star
    When I was twelve years old, my father took me to his architectural and engineering office. There, I could see dozens of people sitting at their desks with large sheets of paper, twiddling slide rules and writing things down all day. I got curious, what were they doing? They were structural engineers, calculating the thickness of steel beams in the construction of a huge building, which required thousands of calculations. Being a geek and already into computing (I had a ZX Spectrum!) I set about developing an automation program to carry out the calculations that were taking 10 minutes to do by hand to less than 5 seconds. It made a big impression and the construction company bought my software. That was my first product. Sitting with the user, understanding their pain, developing the solution and successfully closing the sale. Of course, I reinvested the proceeds into better computers to build better products. Fast forward to today and I am a strategic, customer-centric, product-focused leader with an outstanding track record in generating 10x growth in emerging technologies internationally. I have a successful entrepreneurial background with a proven track record of running and scaling up startups and global enterprises. Most recently growing revenue from $50m to $250m ARR within three years and successfully selling the company for $1.6b. My focus is in building and leading outstanding product teams within emerging technologies to transform businesses and create solutions that improve the lives of millions or perhaps billions of people.
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      Transcript

      RODERICK BATES: Hello and welcome to our talk on how you can control your future in the AI revolution. We'll start with a quick safe harbor statement. There's going to be some forward looking prognostications within this presentation. They should not be used to make any investment decisions whatsoever.

      And a quick introduction on your speakers. My name is Roderick Bates. I'm the Director of Corporate Development at Chaos, where I have a lot of responsibilities around understanding our products and how they're used by our customers, both today and in the future, which makes me particularly excited to speak to all of you today about the AI revolution.

      KAM STAR: Thanks Roger. And my name is Kam Star. I am the Chief Product Officer of Chaos. The last three decades or so, I've been working with software in architecture visualization and games, and previously in the Prism and Play Gen, and other large architectural companies. I'm super excited about AI, what it can bring, and how it can transform what our creatives do our designers, and artists do. And I'm hoping we can show you some of that today and get you excited about a very exciting future.

      Right. So the talk is about some of the latest innovations, how we can accelerate creativity, and visualization, and simulation. And rather than replacing your skills, having AI help you support you to explore bigger spaces to find new solutions and to take away the drudgery and the pain of having to do everything by hand.

      The outline learning objectives is really to help discuss and understand the near horizon AI developments that pose some challenges to our workflows for creatives and designers, and then learn about some of the things that we're doing in AI in terms of innovation that are really key to augment and accelerate creativity and design. Outline content. Awesome.

      Online content. We're going to start out with the revolution, the rapid advancements that AI is making really going from science fiction and becoming a reality. And then we'll focus on navigating some of that impacts and risks and have a look at where this has happened before and how other revolutions in technology affects workflow and jobs. Then we'll get into the meat of some of the things that we're building in Chaos and then look to the future.

      So with that, let's start with the revolution.

      RODERICK BATES: And it really is a revolution I think that's the part that is most fascinating here when we see AI. It's obviously an overused term when you read the newspaper, this is revolutionary, that is revolutionary. But AI is really remarkable. And I think part of what's making it so remarkable is that we're seeing something here where it has a degree of ubiquity that I think is particularly significant.

      And I think that ubiquity is one where when we look at least at other industries perhaps even outside of AEC, we're seeing it show up in places that people maybe never anticipated. For example, Walmart is using now AI to actually negotiate with its vendors. These vendors are ones they're selling various goods to Walmart.

      And what's most remarkable about it is that there are these vendors are engaging with AI, not with people on these negotiations. And two things. One is that the vendors like it. And two, Walmart and the vendors are both actually seeing better economic outcomes, how that actually happens. You know it's pretty amazing how often do you see a win-win like that. But that's the case. And AI is actually powering that, which is quite a shift.

      KAM STAR: And as you say, it's not just there, right? I mean, we're seeing companies like AirAI be able to perform full 10, 30 minute, 40 minute long sales conversations with customers. If you haven't seen the demos they are really something. This is a tool that is having a very natural conversation with another human that is all fully automated in the back end is connected to thousands of applications, and making a huge impact in the way that customers deal with organizations.

      And so it's practically everywhere and we're starting to see it, even if we don't realize it. And I think that's the other point right. We're interacting with AI and it's getting to the point where we don't even realize that it's AI, that it's no longer actually a human.

      RODERICK BATES: It's truly passing that Turing test so to, speak, which, I mean it's a little scary. But hey, if the outcome is better then that's what it is. And I think one of the key things, of course, is that it's becoming ubiquitous in other industries. It's actually also becoming more of a part of the process within architecture, engineering, and construction workflows. That's something where while that's still in an emerging process, it's something that's starting to offer some pretty clear industry benefits.

      And the AEC seems to be jumping in feet first. And it's starting to co-opt these tools that are already out there. They're ones that are perhaps freely available to the public. The image generation software that's out there. The large language model. And they're using it in ways that, , honestly do a lot of the work that people aren't necessarily keyed up on doing that are required part of the architectural practice.

      One of the things that we've heard, or at least I've heard, by speaking to customers is that they're saying say, hey, can we check the code requirements for this particular municipality. That can be hard data to find. I wouldn't necessarily say they're hanging their hat on the information that they're getting. But they're may be using it as a preliminary review.

      Also generally generating visualizations. These are something where, obviously, you need to have a model that you then visualize. But what if you don't even have a model yet? What's the opportunity there for visualizations? And we're seeing a lot of people that are doing very early design exploration using AI generated images.

      And then drafting RFP text. That's something that is interesting to me at least is that the text generated out of AI is surprisingly coherent. And obviously it needs another round of review. But that first draft maybe explains the design intent, things like that. You can give it just a couple of bullet points to some of these large language models. And then you can generate back some draft text. And we're seeing a lot of people within the architecture industry, and engineering industry, construction industry doing exactly that. They're generating that initial text.

      So AEC is really jumping in feet first. But what's most remarkable to me is that while those are I say the co-opting of tools that are just AI tools that are just out there, they're used for a variety of different purposes everything from finance, to just personal entertainment, asking questions, education, what have you. We're actually seeing the emergence of a lot of industry specific tools.

      And there it is. It's like mushrooms after a rainstorm. It is just an explosion of these types of tools and they're covering all different types of functionalities. For instance, interior design. Idea generators we're seeing tools that you can give it say you know I want a mid-century modern home with bright lighting and some sort of a chic aesthetic. And all of a sudden, you can have an incredible interior design generated.

      And the number of companies that are coming out to offer services, software services essentially that are AI powered that generate those types of interior design ideas, you know, it's growing and it's growing significantly. There's not a small number of these.

      KAM STAR: Absolutely. And as you say, the increased efficiency not having to do all the things by hand all the time consuming tasks of drafting and redrafting, and trying to figure things out or if you're trying to be create better designs to be able to simulate and get higher qualities. And on the generative side there are so many, I'm just going to call out Swap, which actually pretty much automates the creation of construction documents, something that takes a huge amount of time, many, many months of architects time to spend generating the how do you build this thing on site.

      And this can be done literally in minutes. And we're seeing the outcomes in the cost savings. We're seeing the outcomes in much faster project deliveries. And this thing's just growing it feels like it's just a start. But even as a start, it works. It makes sense. It's something that people want to use. And as it gets better, it will be something that people just have to use because it's the only way to get a competitive advantage.

      RODERICK BATES: I think you bring up a great point there is that it's cost and it's time, right? And we're talking about a service oriented industry and these time savings aren't small. And so when people think about, well how do I stay competitive if your competitor is using something that saves 40% of time on documentation? You better be too. Because you're just simply not going to be able to be competitive otherwise.

      So what does this mean? And it's like, well, it means that there's a lot of new opportunities. But at the same time, there's a lot of new risks that are coming as well. So how do we actually navigate some of these risks and what are some of the potential risks that people are seeing? So we thought it'd be worthwhile maybe to think about some of these risks and maybe address them specifically.

      And these are ones that we are hearing from our customers already. This isn't something that people are necessarily taking a passive view on. They're being very proactive because they can see the opportunity. But at the same time, they want to make sure that they're actually being aware of what's coming along with those opportunities when it comes to their business practices.

      So we're seeing from our customers in AEC that they're seeing a really great opportunities for AI to actually be a mechanism for seeing risks, seeing hazards that maybe slip past the human attention. Humans have sort of a capacity to perhaps not always see the entire picture. Whereas AI, it never gets tired, so to speak and things like that. And so there's this opportunity to really identify safety protocols and communicate those effectively.

      Same thing with regulatory compliance. That's an aspect that maybe isn't the most exciting when it comes to architecture, engineering construction. But doing the things that aren't exciting is a place where AI really excels. And of course with that comes the prevention of accidents because those types of protocols implementing safety protocols are ones that can actually have a real benefit in the physical world. But there's risk with that when you think about safety.

      One of them is that once you start to rely on that AI engine or that AI software where you're starting to have a degree of complacency on the part of the person. You trust AI, it's like, well, you made a mistake. You trusted us. And AI doesn't necessarily know when it's wrong. And I think that's one of the remarkable things about it is they can make an inaccurate prediction. And it doesn't know because it doesn't have that level of consciousness. That's not part of the protocol, so to speak.

      And I think that's one of the biggest challenges that people have is that they're worried that if they start to implement AI, become dependent upon AI, there's going to be a degree of complacency on the human part that is going to not see when there's an accurate predictions. And then, of course, there'll be major safety risks that could result. But those are ones that obviously people see some concern there, but there's still some other opportunities that have significant benefits that are starting to weigh over in that corner, if you will.

      One of them is on quality. And the quality is an interesting challenge when it comes to AEC because it spans a lot of different domains. But when we think about visualization quality, how do we actually communicate the ideas that we're creating? How do we communicate with something will look like? How something should come together, how it should be built.

      There's a great opportunity to use AI to start to visualize things very quickly with a higher quality, maybe better accuracy, than would otherwise be the case. Because when you think of traditional workflows, there's effort that's required. There's a lot of time that's required. And that means that you can't necessarily visualize everything or do it to the quality that you want.

      But with AI as part of the process, you can improve both that quality and the accuracy. And that can really help to identify various flaws and things like that might otherwise not be evident. But at the same time, when it comes to that increase in quality, the more similar to this idea of human complacency, you know, you're starting to reduce the critical thinking that, artistic bent that is so prevalent in the AEC industry.

      And in addition to that, there's also a challenge that once you turn over control of that AI engine or of that creativity to at least to some degree or maybe fully to an AI engine, you're starting to introduce biases that you may not be aware of. That AI engine has a certain amount of thinking associated with it. It has a training data set that you don't necessarily know.

      And because of that, there's going to be a way of thinking that may not necessarily be what you want. But it's somewhat insidious and it'll start to imbue the various images you might be creating the visualizations, you're creating in ways that you may not realize. And part of that also is the delta between what is visualized and what actually gets built.

      And I think one of the great things about an architect, or an engineer, or a contractor is they have a lot of real world experience. They've been putting things together for a number of years. They know what it looks like to go from plans to physical building. And an AI engine doesn't necessarily know that. And so there's going to be the potential for a discrepancy between what is represented visually during design and what's actually built that's greater than what would happen if a human was involved in the process.

      And then of course, cost. Cost is, without question, what many people see as the greatest benefit associated with the introduction of AI and visualization workflows in the context of AEC. We're really talking about something where you can visualize or process a huge amount of data, visualize it to get insights incredibly quickly far more quickly than a person can. It's just a matter of asking a question and having the data set on hand.

      And of course, expediting visualization creations. Just being able to say you know here's a model, visualize it for me. And all of a sudden, you've gone from a complex workflow maybe it goes from hours, or even days down to minutes or less. But of course, with that though, there's also an acknowledgment of the cost that AI brings.

      One of them is that you actually have a whole new software and a software that can't just be deployed and then you turn your back on it. This is something that requires ongoing maintenance. And then there's a risk to the fundamental business that a company has by becoming dependent upon AI. If you really becomes the tool by which you do the bulk of your work, what's the risk of becoming formulaic of not necessarily having that type of competitive advantage that comes with great creativity?

      Is there a risk that if you're using AI your competitor is using, all of a sudden the standard gets lower and it opens up an opportunity for human creativity again to become the competitive advantage. But I would say don't worry. It's happened before. This isn't the first revolution. It's not the first revolution of our lifetime. You know we've seen other type of technology that's been introduced.

      And of course, there's always been risks. But at the same time, there's always been some pretty significant benefits that come along as well. So when we think about how AI is going to really reshape workflow jobs, how this really will be revolutionary, we think there's a pretty transformative opportunity here, just as there has been in other industries.

      So we think about how cars were first made. Every one was bespoke. Every piece had to be machined by hand. The car parts from one car couldn't necessarily translate over to another. And yes, you had a large number of people working on every one of those cars. But there were a lot of disadvantages that came with those cars you know, like, say, the cost, for instance, being a huge one. The lack of interchangeability between various vehicles and service that came with that.

      And you think of modern car manufacturing, highly automated, highly interchangeable. At the same time, though, of course, people are still involved. Someone's programming those robots. Someone's maintaining those components. There's still people on the assembly line. And when we think about something like, say, commerce, obviously malls are still around. You still have brick and mortar stores. But you've also had a revolution in the form of e-commerce.

      And now people consider shopping to be a hybrid affair. Maybe they go to the store and go to the brick and mortar store, or maybe they go online. And maybe they go online to the same store that they've just visited in the mall. You know, shopping has started-- it's not like people aren't shopping anymore. In fact, it's just changed. You know, now you maybe you have more warehouse employees that are used with order fulfillment. Then you maybe you have exclusively working at a store.

      But at the same time, they're still employees. There's still an e-commerce experience. People are still trying on shoes, sending them back, things like that. So yes, it's been a revolution. But it's really been one for the better by and large both for the consumer. And when we think about many stores, yes, they've shifted. And maybe that shift was hard.

      But at the end of the day, a lot of them are still in business, at least those that could adapt, of course, and they came out stronger. And who hasn't been to a grocery store that started to do self-checkout? I think it's actually really everything at this point has at least one or two or maybe exclusively self-checkout lanes at this point.

      And while it's great to shop or to talk to the cashier and have a chat with them, at the end of the day, there's really something to be said also for vastly shorter lines. And the ability to check out quickly, easily, and honestly, it's something that all of us can do. The interfaces are simple. And we benefit by having these shorter lines and potentially lower cost. As well, as more people that work for the store that can be dated to dedicated to restocking and things like that are actually perhaps more fundamental to the customer experience.

      So when we think about these revolutions that have happened in the past, there have been moments of pain. But a lot of that pain comes from the fact that people were highly resistant to the change when it first emerged. They said, oh, e-commerce isn't going to be a thing. We're going to double down on brick and mortar, for instance. As opposed to diversifying and looking at both of these.

      What is really exciting to us here at Chaos is that we're seeing AEC jumping in feet first into AI. We did a recent survey of a very large number of practitioners in North America and in other parts of the world. And we found that there was very little resistance to AI. Not only were they starting to use it actively, almost 70% of the people surveyed were either using it actively as part of their design process or were starting to experiment with it as part of their design process.

      But also, of that proportion a fair number of them, about a fifth of them or so, were actually starting to see that they for their future design workflows. They really wanted to see AI assist. They wanted to see AI as part of their design workflow. So for us, seeing an industry that's oftentimes referred to as little staid or a little conservative, jumping into this new technology frontier so enthusiastically was really exciting

      KAM STAR: Yeah so let's have a look at what we're doing. I mean, I'd love to share with you today is how we're thinking about AI, how we approach it. And then whet your appetite on some of the tools that we've developing and some of the solutions that we're crafting right now, and help you navigate this space with more confidence.

      If we go to the next slide, that'd be great. SaaS technology is rapidly evolving and is we just heard and we know AI is reshaping the landscape of creativity. We recognize at Chaos the paramount importance of keeping the human spirit and the imagination at the core of innovation. It's really not about the machine replacing the human, but about machines empowering and accelerating the human potential.

      And we have a charter. Simple to describe, and I hope you find it interesting. For us, it starts with empowerment without compromise. At Chaos, we genuinely believe that technology should serve as a brush, not as the artist or the designer. And so every tool that we create and we think about is crafted to amplify the landscape of human creativity, not overshadow it.

      For us, these are extensions of creative minds that will help them produce better visuals, have better outcomes, but retain the reins, have full control, have complete ownership, and the freedom to dream without having to compromise that. Our second line is around responsible AI by design. Our commitment is, in responsibility and an ethical approach, making sure that it's not ambiguous where the data comes from, that every process, that every algorithm every terabyte of data that's USD is transparent. And that we can create worlds together where innovation thrives without the compromise on ethical values.

      And last but not least is to foster the trust in that innovation in this big tapestry of technological evolution trust is what binds us together. It's what brings us together. And at Chaos, we believe that technology, as the technology advances, the foundational fundamental rights to privacy, clarity around ownership, should remain undiminished. We want to foster an environment where creatives can really embrace AI with confidence knowing that their interests are safeguarded.

      To that end, we've identified three domains for our tools and solutions which we're working on. And we're going to look at some of those examples in a minute. But very high level, we're focusing on asset generation and capture. And this is really about taking the user input. That could be text. It could be a reference image. It could be another reference, 3D model, or a design, and help them to create the assets they need to accelerate their work and save their time save them save them the effort.

      Scene intelligence and optimization is really about understanding the scenes and the context and suggesting improvements in things like lighting, cameras, materials, object placement, all of those things to get the look and the mood that as a creative you'd want. And intuitive collaborative interfaces and design processes is about making it easier to interact with the software, whether it's through natural language, just chatting to the software, but also in real time with other users, and leverage the principles that artists use and they understand well in helping them to create intelligent simulations that actually support them in optimizing their design.

      So if we jump into the asset creation. We want to change the game for folks who work in 3D, they're artists or designers. We want to take away the drudgery. Whether it's building an entire environment out of a few little bits and pieces or creating materials, or a shader from a description or a photo, it's really about automating the repetitive tasks and reducing the amount that folks spend whilst expanding the exploration space in terms of creativity.

      We want to boost productivity by helping folks generate lots of variety so that they can choose but then have the fine control on those varieties so they can tweak. And then in that sense, help them actually be more efficient at their work and hopefully save them a heck a lot of time in the process. One of the projects we're working on is really a transformative solution that creates complex realistic 3D materials from text descriptions or reference images.

      This is to streamline workflow. We know from talking to many customers that actually creating really good materials, and I don't mean just the texture but the material, the shader, how the light interacts with it, and all of that is critical. It takes a lot of time and effort. And without extra material generator, we're engineering a tool to revolutionize that entire piece of the workflow.

      An intelligent tool that allows you to generate unique and realistic materials, again, from tools that you have, from the photographs that you have, from the descriptions that you have and being able to chat through and ask the model to tweak for you. You're going to have a look at a quick demo. Now, don't worry the eventual interface is not going to be quite look like a programming language. But this is some in-house work we've got which we're developing further in here.

      Just illustrating the ability to chat to ask for particular types of material, and then to further refine it and define it in the process. One of the other things that comes up a lot is being able to make really fantastically realistic believable images. And as you probably know, when you create a model in 3D, oftentimes the materials are perfect. There is no dirt in sight. There is no aging.

      And that takes a lot of time and effort to actually create things that look more realistic by adding those aesthetic changes and those aesthetic changes the qualities that you need in order to make this aging process over time make something that's realistic. And so this is one of our other projects. Looking at time lapse visualizations, how materials will age over time, whether it's a building facade over decades, perhaps or some aging in a movie scene.

      These tools are designed are being designed to help improve the realism that the artist can or the creator can deliver. And at the same time, perhaps help and support in some of those predictive analysis that you'd have in forecasting the long term appearance or a condition of a material or a building.

      In the space of seeing intelligence and optimization, the focus for us, again, of course, is time and cost efficiency. But it's about creative exploration. It's about facilitating exploration, exploring different visual styles in being able to create unique aesthetics that really empower you as a creative to create unique and appealing aesthetics. And being able to have an intelligent design that perhaps predicts and applies, whether it's materials, whether it's set design, whether it's a mood and create a desire of a mood that you'd like to impart and to boost that creativity to help support professionals, to experiment and again fine tune their designs and moods.

      One of the other projects is the Smart Scene Populator. This is about automating. It takes a lot of time once you've built a building, or an interior, or a set to put all the assets in to make it look real. If it's a kitchen, put the table in the kitchen, put the bowl on the table, put the fruit in the bowl and the flowers in the vase, and set up everything.

      And this takes this takes a lot of time away, particularly for an architect who is more focused on the design of the space but they want to make it look real and lived in. And so in our Smart Steam Populator, we're simplifying and accelerating that process of creating a very rich and detailed and a believable space for both architecture and VFX and media and entertainment using intelligent algorithms so pulling from what you may have or even generated 3D assets, and being able to create that in a way that not just saves you time and obviously the cost that it takes to put all of these things in place, but improves the realism and streamlines that workflow so that you can create projects that are focused on your output rather than getting bogged down on this very labor intensive task of just setting everything up so that the shot looks good.

      Another one which, again, we've asked and folks want to have this creative exploration is the ability to transfer styles so you can have different visual styles to your render or your referencing based on a reference image or based on a textual description, but it's still your creation. But whether it's the color scheme, or the texture patterns, or the lighting setup, or the overall aesthetics, we want to allow architects and designers and creatives of all sorts to be able to explore the aesthetics that they want, again faster, more efficiently, and to be able to have these visual styles and perhaps even apply their own visual styles to their renders so that it's not a yet another thing that they have to do once the thing is built.

      But it's actually something that they can do and explore and create that is about them and how they see the project and what they're working on. And in a similar note, you know, lighting is not easy. And really awesome lighting designers are not-- well maybe they are born-- but oftentimes it takes an enormous amount of exploration and understanding to create that desired mood to not just enhance the realism, but light the scene in a way that imparts your intent of how it's going to make it look good.

      And we actually have some of this in our software already. We're improving that and we're bringing in more machine learning to, again, help with the realism that can be achieved with the mood setting. So creating the mood that you want using these smart lights and recommending lights. And again, it comes down to faster and more choice as we said at the outset.

      So intuitive interfaces and particularly intuitive collaborative design process is the way that we are moving. This is a movement. We like working together. We like working on the same things together. It brings about efficiency. So whether it's automatically suggesting things or whether it's hands free control so that you can talk to your software, you can ask it how do I do this? Or can you help me do this?

      And in that, it really expands who can use the software. Because, as we know, not everyone is fully able to operate a mouse. But why should you have to if you can talk or if you can converse in some way? You should and would be able to use the software to get that personalized outcome that you want and have access to the information that you found out there.

      So the product should be able to have some chat capability. Why should you have to go and look through reams of documentations and try and find the use cases and watch a lot of videos if you can just say, hey, I'm trying to do this. Or I found this problem. And instead of trying to go and see what the solution is, I can suggest for you and give you that very personalized response that not just solves your problem better but helps you be much more efficient in the way you do things.

      And to this end, controlling the workflow using your voice, freeing your hand, speeding up that creative process is our voice interface. Another one of our projects where we're looking at hands free control. So for your hands, do the task while controlling your workflow, bring about that efficiency, and allow you to seek and find without having to go and click many, many, many things in order to get to where you want to just say, hey, I want to edit this part of this thing, or I want to change that part of that scene and instantly being presented with that window or that wherever it is in the workflow and software with that part without having to spend all of that time looking for it.

      And, well in this case last but not but not least, we know and we are building and we are in fairly advanced development our infant lifestyle. And this is really about effortlessly converting the products or the images that you have or the settings that you have or the lifestyle that you want to portray vividly with control, with the ability to tweak so that it's exactly as you intended it to be not just the outcome of a prompt that is searching an infinite space that could give you anything but actually what you really want in terms of the look and the feel.

      And we're already seeing in our beta tests with customers that they not only like it. But they can see how that's going to improve their customer experience how it's going to increase the sales potential with very high quality visuals that can be generated very rapidly so that your Pinterest or any other software that you use to Instagram or what have you to push out marketing images can be exactly your material, your markers in the sense that you would like to portray them in precisely in those settings, and very, very rapidly and quickly and without having to incur all the time and the cost and the effort that it needs to do it all by hand.

      And so all of this will be on the Chaos Labs, Innovation Lab that we have. I urge you to follow the links. You'll find access to what I'm hoping a number of these things and at the same time finding them interesting. Give us your feedback. There are other projects that we didn't get to talk about today. And we'd be keen to see how you use them, how you leverage them. And I hope that you'll agree with us that we are here to accelerate your creativity and to give you the freedom to explore without the constraints that we've talked about. Right.

      Well on behalf of myself and Roderick, thank you so much for spending the time with us today. And we hope to see you soon. Thank you.