**Project Relate: A Breakthrough in Voice Recognition Technology**

Google's Project Relate is an exciting new initiative that aims to revolutionize the way we interact with technology using voice commands. By leveraging advanced AI algorithms and machine learning techniques, Project Relate has made significant strides in creating a customized voice recognition system tailored to individual users. This innovative approach enables Google to better understand and respond to unique speech patterns, making it an attractive solution for those who struggle with traditional voice assistants.

According to experts, the key to Project Relate's success lies in its ability to train AI models on user-specific data. By doing so, the technology can learn to recognize individual speech patterns and adapt accordingly. This approach has proven to be highly effective in situations where standard algorithms may falter, such as when users employ non-standard pronunciation or intonation. As one expert noted, "essentially what they're doing is making an offshoot of that to then focus on you and your specific speech so if you have a slightly different way of speaking that maybe isn't being picked up by a normal algorithm that has been trained on quote-unquote normal voices well the way that they do with Project Relate is you sit down and you train the AI model itself and then they're able to build a custom model attached to you which is going to be linked to your Google account and then processed live on your device."

This innovative approach relies heavily on significant investments in hardware and software development. As one expert pointed out, "this is not something that would be possible without the massive amount of hardware and the software that they're developing right so I think it's worth to do this for like that's very very cool." The potential benefits of Project Relate are substantial, with the technology poised to transform the way we interact with our devices.

**Comfortability with Google and Data Collection**

As individuals become increasingly comfortable using Google services, concerns about data collection and usage have begun to arise. While many users appreciate the convenience offered by these services, others remain uneasy about the amount of personal data being shared. As one user noted, "I'm completely comfortable unless they start synthesizing an image of me and making these like political videos that I didn't actually shoot I feel like Hey listen if this is going to make my experience better sure what about you" – a sentiment echoed by many who remain skeptical about the potential risks associated with Google's data collection practices.

However, it's essential to acknowledge that Google's primary motivation for collecting user data is to improve its services and provide more targeted advertising. As one expert noted, "at its core Google is an ad company right right they have a huge amount of incentive to be the information company where you get information of all kinds to make Google search better to make all these kind of bits of information whether it's YouTube what are the cases right but ultimately it does kind of come down to selling ads now I don't think either of us can sit here and with a straight face tell you that that is bad we would not have jobs if YouTube ads did not exist." While this perspective may be hard to swallow for some, it's essential to recognize the underlying economics driving Google's business model.

**The X-Labs: Where Innovation Meets Problem-Solving**

Google's X-Labs is a fascinating initiative aimed at tackling some of humanity's most pressing problems. By fostering an environment where engineers and designers can collaborate on ambitious projects, the X-Labs has given rise to innovative solutions like Google Glass, Waymo, and more. As one expert noted, "they need to be able to prototype anything because depending on the problem that comes up someone goes hey you know what it'd be great if I had internet in the middle of the desert how do we do that I don't know oh let's go build a bunch of weird and see what happens." The X-Labs serves as a testament to Google's commitment to pushing the boundaries of innovation.

**The Bayview Campus: A Marvel of Modern Architecture**

A visit to Google's Bayview campus is an experience unlike any other. As one expert described, "the Bayview campus is the most outrageous building I've been in in my entire life solar roof insanely huge ceilings thousands of people working inside yeah unbelievable what they're what they're doing here and that took them seven years to start to finish from the idea to building these but yeah we had a really good time at Google hanging out and seeing just all the crazy stuff that's being worked on." The campus serves as a shining example of modern architecture, showcasing Google's commitment to creating innovative and functional spaces.

**Conclusion**

Google's Project Relate has made significant strides in voice recognition technology, offering a more personalized experience for users. While concerns about data collection and usage remain, it's essential to acknowledge the underlying economics driving Google's business model. The X-Labs initiative serves as a testament to Google's commitment to innovation and problem-solving, while the Bayview campus showcases the company's dedication to creating functional and futuristic spaces. As we move forward in this digital age, it will be exciting to see how Project Relate continues to evolve and shape our interactions with technology.

"WEBVTTKind: captionsLanguage: enwe're bringing an old school listen team crispy it's got old man Edition what's going on guys the driver's consumer and today we got a really cool chance to go to the Google headquarters and check out some really interesting stuff that they've been working on we saw the secret things that we're not allowed to talk about well we can talk about no no no no no you can't believe we've already said too much but no honestly we did see a lot of cool stuff and I'm talking like top secret stuff we got to go into Google's Quantum lab and meet all kinds of Engineers working with quantum computers which look like chandeliers but they're over a hundred million times faster than the world's most sophisticated computer we have today you know we should probably get one of these in for like a massive Tech unboxing put all jokes aside this is the kind of stuff that the future is made out of and you probably wouldn't believe me but these things have to be cooled with a temperature near absolutely zero which is just mind-blowing to think about but we saw some other stuff as well like the Google Street View garage tour and here we saw like the earliest iterations of the cameras and vehicles they use to map out and capture the Street View in Google maps to the kind of tech they're using now and it's just crazy to see how far they've come from equality and size perspective and we also got to tour the X lab and this is the area where they work on the craziest most outlandish Tech I've ever seen to solve some of the world's largest problems and it's all really cool stuff we've been hearing about a lot of the cool things that Google's been working on since I think like IO earlier this year me personally I was a really huge fan of the what is it real tone real tone which is pixel 6 for now but the idea is is that they're using machine learning to better I guess expose for skin tones because obviously that's a huge problem so these cameras don't really expose well for you know darker skin tones and Google takes that into consideration with this whole new method so that's just something that really stood out to me because I've been complaining even on the channel for years now that cameras sometimes it feels like they ain't made for us so it just feels really cool that Google's solving problems that a lot of people don't really even know exist well I think the thing that a lot of this stems from is the machine learning right and I think up until this point a lot of it has been very theoretical it's been very like oh you can process blah blah faster it's not really relevant yeah you don't really see Within These Keynotes sometimes what the benefit is to the end user how it really is going to impact us and our everyday lives but now we're starting to see these things come into fruition uh which directly impact us so machine learning is actually starting to become a huge benefit Beyond just something like the cool techy data things to hear about think about taking a photo right when you're trying to capture stuff on a phone it's not just snapping a still like it seems there's a lot of processing that goes into before and after you press that shutter button yeah and when you think about it from the context of what they're doing with specifically with the skin tone it's able to take and go okay cool here we're going to adjust this one up down left right whatever the case is but to try to maximize what it should do on each side which is so cool and that's like a practical real world benefit some of the other stuff that we saw today in regards to audio is another thing that's being done on device that can help people who may not be able to have sort of normal speech but you can still be easily understood with some of the stuff like that's the real world practical benefit but when you train these neural networks like it makes a big difference and we're starting to see a lot of this stuff come out yeah absolutely so what Austin is referring to is actually called project relate just the name in itself like you know it relate you know because it can relate to some of the issues that a lot of people are having that you just don't know needs a solution like what Google offers so it's like this cool app that someone with a speech impediment can speak into the app kind of like what we see with Google Translate and there are like three different outcomes you can have it translate the speech into text or into a voice that is synthesized that can be more more easily understood for folks who aren't used to hearing that kind of speech or it can be used to control a voice assistant what they're doing is essentially an extension of what they're already doing with stuff like Google assistant right well essentially what they're doing is they're making an offshoot of that to then focus on you and your specific speech so if you have a slightly different way of speaking that maybe isn't being picked up by a normal algorithm that has been trained on quote-unquote normal voices well the way that they do with project relate is you sit down and you train the AI model itself and then they're able to build a custom model attached to you which is going to be linked to your Google account and then processed live on your device this is not something that would be possible without the massive amount of hardware and the software that they're developing right so I think it's worth to do this for like that's very very cool so I'm curious as someone who obviously spends a lot of time with tech what's your level of comfortability with Google and the amount of data right so for me personally I'm completely comfortable unless they start synthesizing an image of me and making these like political videos that I didn't actually shoot I feel like Hey listen if this is going to make my experience better sure what about you I guess I'm a little more unsure of things so at its core Google is an ad company right right they have a huge amount of incentive to be the information company where you get information of all kinds to make Google search better to make all these kind of bits of information whether it's YouTube what are the cases right but ultimately it does kind of come down to selling ads now I don't think either of us can sit here and with a straight face tell you that that is bad we would not have jobs if YouTube ads did not exist but I do think it's worth considering the data you give and how it is being used not to say that you say no to it but I think it's it's it's not a absolute no-brainer yes I'm gonna do this all the time no no that's fair and I wouldn't say hey give all your data don't ask questions just go ahead yeah um what they've done and yeah there are going to be things that improve my experience based on having voice data yeah you know the voice day that I don't I'm fine I don't worry about too much because any AI model that wants to learn my voice can just watch about 3 000 videos so I've kind of given up on my voice being private right um you know we shouldn't give up on the camera they just ran at that yeah let me go fix that real quick hello welcome back to the Austin and judge show yeah we're currently taking donations to take the show on the road so if you like is it but it was cool to see some of the other things that Google was we talked so much around what we actually saw well no because we can't talk about the secret things we saw walked out they mind wiped us now one big thing that we got to see was actually the x-labs so the x-lab is basically where Google finds a problem and they're basically trying to solve it there through technology yeah and we've seen lots of different things come from this uh glass Google Google Glass waymo the self-driving car project a lot of what makes Google cool is that they fund these Moon shots of Designing and making wild ridiculous things that on the surface don't make sense right I mean we walked through a lab where again I don't think we got footage of most of this but like they have dummies next to water filtration systems next to robots next to Honda water cameras it's it's like they need to be able to prototype anything because depending on the problem that comes up someone goes hey you know what it'd be great if I had internet in the middle of the desert how do we do that I don't know oh let's go build a bunch of weird and see what happens but I can appreciate that you know I can appreciate looking into what problems they can solve for people who you might not know need that problem solved it was pretty wild but uh it was actually a really good time how about the campus okay the Bayview campus is the most outrageous building I've been in in my entire life solar roof insanely huge ceilings thousands of people working inside yeah unbelievable what they're what they're doing here and that took them seven years to start to finish from the idea to building these but yeah we had a really good time at Google hanging out and seeing just all the crazy stuff that's being worked on but until next video guys hopefully you enjoyed it thank you awesome Evans thank you Justin and Shout Out Justin hold on the camera I know you listen and Justin's tired too yeah yeah this is an old school video all right but yes huge shout out to both of you guys I appreciate you and we'll catch you guys in the next one peace ohwe're bringing an old school listen team crispy it's got old man Edition what's going on guys the driver's consumer and today we got a really cool chance to go to the Google headquarters and check out some really interesting stuff that they've been working on we saw the secret things that we're not allowed to talk about well we can talk about no no no no no you can't believe we've already said too much but no honestly we did see a lot of cool stuff and I'm talking like top secret stuff we got to go into Google's Quantum lab and meet all kinds of Engineers working with quantum computers which look like chandeliers but they're over a hundred million times faster than the world's most sophisticated computer we have today you know we should probably get one of these in for like a massive Tech unboxing put all jokes aside this is the kind of stuff that the future is made out of and you probably wouldn't believe me but these things have to be cooled with a temperature near absolutely zero which is just mind-blowing to think about but we saw some other stuff as well like the Google Street View garage tour and here we saw like the earliest iterations of the cameras and vehicles they use to map out and capture the Street View in Google maps to the kind of tech they're using now and it's just crazy to see how far they've come from equality and size perspective and we also got to tour the X lab and this is the area where they work on the craziest most outlandish Tech I've ever seen to solve some of the world's largest problems and it's all really cool stuff we've been hearing about a lot of the cool things that Google's been working on since I think like IO earlier this year me personally I was a really huge fan of the what is it real tone real tone which is pixel 6 for now but the idea is is that they're using machine learning to better I guess expose for skin tones because obviously that's a huge problem so these cameras don't really expose well for you know darker skin tones and Google takes that into consideration with this whole new method so that's just something that really stood out to me because I've been complaining even on the channel for years now that cameras sometimes it feels like they ain't made for us so it just feels really cool that Google's solving problems that a lot of people don't really even know exist well I think the thing that a lot of this stems from is the machine learning right and I think up until this point a lot of it has been very theoretical it's been very like oh you can process blah blah faster it's not really relevant yeah you don't really see Within These Keynotes sometimes what the benefit is to the end user how it really is going to impact us and our everyday lives but now we're starting to see these things come into fruition uh which directly impact us so machine learning is actually starting to become a huge benefit Beyond just something like the cool techy data things to hear about think about taking a photo right when you're trying to capture stuff on a phone it's not just snapping a still like it seems there's a lot of processing that goes into before and after you press that shutter button yeah and when you think about it from the context of what they're doing with specifically with the skin tone it's able to take and go okay cool here we're going to adjust this one up down left right whatever the case is but to try to maximize what it should do on each side which is so cool and that's like a practical real world benefit some of the other stuff that we saw today in regards to audio is another thing that's being done on device that can help people who may not be able to have sort of normal speech but you can still be easily understood with some of the stuff like that's the real world practical benefit but when you train these neural networks like it makes a big difference and we're starting to see a lot of this stuff come out yeah absolutely so what Austin is referring to is actually called project relate just the name in itself like you know it relate you know because it can relate to some of the issues that a lot of people are having that you just don't know needs a solution like what Google offers so it's like this cool app that someone with a speech impediment can speak into the app kind of like what we see with Google Translate and there are like three different outcomes you can have it translate the speech into text or into a voice that is synthesized that can be more more easily understood for folks who aren't used to hearing that kind of speech or it can be used to control a voice assistant what they're doing is essentially an extension of what they're already doing with stuff like Google assistant right well essentially what they're doing is they're making an offshoot of that to then focus on you and your specific speech so if you have a slightly different way of speaking that maybe isn't being picked up by a normal algorithm that has been trained on quote-unquote normal voices well the way that they do with project relate is you sit down and you train the AI model itself and then they're able to build a custom model attached to you which is going to be linked to your Google account and then processed live on your device this is not something that would be possible without the massive amount of hardware and the software that they're developing right so I think it's worth to do this for like that's very very cool so I'm curious as someone who obviously spends a lot of time with tech what's your level of comfortability with Google and the amount of data right so for me personally I'm completely comfortable unless they start synthesizing an image of me and making these like political videos that I didn't actually shoot I feel like Hey listen if this is going to make my experience better sure what about you I guess I'm a little more unsure of things so at its core Google is an ad company right right they have a huge amount of incentive to be the information company where you get information of all kinds to make Google search better to make all these kind of bits of information whether it's YouTube what are the cases right but ultimately it does kind of come down to selling ads now I don't think either of us can sit here and with a straight face tell you that that is bad we would not have jobs if YouTube ads did not exist but I do think it's worth considering the data you give and how it is being used not to say that you say no to it but I think it's it's it's not a absolute no-brainer yes I'm gonna do this all the time no no that's fair and I wouldn't say hey give all your data don't ask questions just go ahead yeah um what they've done and yeah there are going to be things that improve my experience based on having voice data yeah you know the voice day that I don't I'm fine I don't worry about too much because any AI model that wants to learn my voice can just watch about 3 000 videos so I've kind of given up on my voice being private right um you know we shouldn't give up on the camera they just ran at that yeah let me go fix that real quick hello welcome back to the Austin and judge show yeah we're currently taking donations to take the show on the road so if you like is it but it was cool to see some of the other things that Google was we talked so much around what we actually saw well no because we can't talk about the secret things we saw walked out they mind wiped us now one big thing that we got to see was actually the x-labs so the x-lab is basically where Google finds a problem and they're basically trying to solve it there through technology yeah and we've seen lots of different things come from this uh glass Google Google Glass waymo the self-driving car project a lot of what makes Google cool is that they fund these Moon shots of Designing and making wild ridiculous things that on the surface don't make sense right I mean we walked through a lab where again I don't think we got footage of most of this but like they have dummies next to water filtration systems next to robots next to Honda water cameras it's it's like they need to be able to prototype anything because depending on the problem that comes up someone goes hey you know what it'd be great if I had internet in the middle of the desert how do we do that I don't know oh let's go build a bunch of weird and see what happens but I can appreciate that you know I can appreciate looking into what problems they can solve for people who you might not know need that problem solved it was pretty wild but uh it was actually a really good time how about the campus okay the Bayview campus is the most outrageous building I've been in in my entire life solar roof insanely huge ceilings thousands of people working inside yeah unbelievable what they're what they're doing here and that took them seven years to start to finish from the idea to building these but yeah we had a really good time at Google hanging out and seeing just all the crazy stuff that's being worked on but until next video guys hopefully you enjoyed it thank you awesome Evans thank you Justin and Shout Out Justin hold on the camera I know you listen and Justin's tired too yeah yeah this is an old school video all right but yes huge shout out to both of you guys I appreciate you and we'll catch you guys in the next one peace oh\n"