New AI Tools That Are Actually Useful

Straight up, generative AI is on fire right now.   There's no two ways about it. We just keep getting   new applications that are actually useful left  and right. And look, the word useful is a very   subjective word. But I think most people watching  these videos would agree that ChatGPT is useful.    That is the one app where most of the population  would probably agree that there's some everyday   use cases for that, that just really makes sense.   Well, this week, we have a ChatGPT competitor   that is legitimately better in certain use cases.   That's exciting. And then also Google went ahead   and upgraded their assistant on Pixel phones. So  they effectively have an AI powered assistant in   their phones already. Independent of what you  think about the recent product releases, this   is interesting. And then there's many more little  things like this spy software, you can just put   in an image and it uses AI to detect where that  was taken. Or this image generator that actually   generates images with transparent backgrounds,  something that was just not possible up until now,   you had to have some level of photo editing skills  to get those results. So without further ado,   let's dive into another week of AI use cases.   These are all the apps that came out over the   course of the last week that you could be putting  to work today. So let's just start talking about

Straight up, generative AI is on fire right now.   There's no two ways about it. We just keep getting   new applications that are actually useful left  and right. And look, the word useful is a very   subjective word. But I think most people watching  these videos would agree that ChatGPT is useful.    That is the one app where most of the population  would probably agree that there's some everyday   use cases for that, that just really makes sense.   Well, this week, we have a ChatGPT competitor   that is legitimately better in certain use cases.   That's exciting. And then also Google went ahead   and upgraded their assistant on Pixel phones. So  they effectively have an AI powered assistant in   their phones already. Independent of what you  think about the recent product releases, this   is interesting. And then there's many more little  things like this spy software, you can just put   in an image and it uses AI to detect where that  was taken. Or this image generator that actually   generates images with transparent backgrounds,  something that was just not possible up until now,   you had to have some level of photo editing skills  to get those results. So without further ado,   let's dive into another week of AI use cases.   These are all the apps that came out over the   course of the last week that you could be putting  to work today. So let's just start talking about

Cloud because this is probably the biggest upgrade  of the week. As most people agree that ChatGPT is   the number one app they use and the number one  app that is useful for them when it comes to AI   tools. Well, Cloud3 claims to be a better GPT-4,  but so do many apps, right? Is it actually? Yeah,   it kind of is not across the board. It lacks a lot  of the features of ChatGPT. And with certain use   cases, I would still stick to GPT-4. But in many  use cases that really matter, it is better. Now,   I'm not going to go into depth on this, I created  a dedicated video on that. You can check out that   video over here. If you just want a summary,  then I would say these benchmarks generally   don't matter. What matters is the use cases and  the use cases that I tested really impressed me,   particularly the image recognition is best in  class. Whenever you're prompting with images,   you want to be using Cloud3 and its ability  to generate ideas and brainstorm is excellent.    That is one of the things I go to ChatGPT for all  the time. And from my initial testing, which I've   done a lot of, Cloud3 just seems to be better  across the board at that. The recommendations   make more sense. With other use cases of mine,  like creative writing or coding, it seems to not   be that clear. In some cases, GPT-4 is better.   In some cases, Cloud3 is better. Again, if you   want a more in-depth discussion on this, check  out the dedicated video on this. One last thing   that I want to point out is that there's actually  a site where you can use it for free. You can try   it for free and compare it to GPT-4. And that site  is chat. lmsys. org. We talked about this before.    This project aims to crowdsource the ranking  of different chatbots. And as a part of that,   you can actually go to the website, go to this  arena tab on top and switch the model to Cloud3   Opus. This is their flagship model. On the other  side, you can switch to GPT-4 1. 1. 0. 6 preview and   you'll be comparing the best version of Cloud  to GPT-4 today. Down here,   you just enter the prompt, then it runs it in  both and you get the results for free. Now,   the whole point of this site is for you to rate  it. So, you know, if you have a preference, go   down here and pick which one you prefer. But there  you go. That's a free way to try Cloud3 and GPT-4.    As you can see here, sometimes it is overloaded,  but yesterday I used it all day and it worked   perfectly. All right, let's move on to the next  use case. All right, next up very briefly, we have

Cloud because this is probably the biggest upgrade  of the week. As most people agree that ChatGPT is   the number one app they use and the number one  app that is useful for them when it comes to AI   tools. Well, Cloud3 claims to be a better GPT-4,  but so do many apps, right? Is it actually? Yeah,   it kind of is not across the board. It lacks a lot  of the features of ChatGPT. And with certain use   cases, I would still stick to GPT-4. But in many  use cases that really matter, it is better. Now,   I'm not going to go into depth on this, I created  a dedicated video on that. You can check out that   video over here. If you just want a summary,  then I would say these benchmarks generally   don't matter. What matters is the use cases and  the use cases that I tested really impressed me,   particularly the image recognition is best in  class. Whenever you're prompting with images,   you want to be using Cloud3 and its ability  to generate ideas and brainstorm is excellent.    That is one of the things I go to ChatGPT for all  the time. And from my initial testing, which I've   done a lot of, Cloud3 just seems to be better  across the board at that. The recommendations   make more sense. With other use cases of mine,  like creative writing or coding, it seems to not   be that clear. In some cases, GPT-4 is better.   In some cases, Cloud3 is better. Again, if you   want a more in-depth discussion on this, check  out the dedicated video on this. One last thing   that I want to point out is that there's actually  a site where you can use it for free. You can try   it for free and compare it to GPT-4. And that site  is chat. lmsys. org. We talked about this before.    This project aims to crowdsource the ranking  of different chatbots. And as a part of that,   you can actually go to the website, go to this  arena tab on top and switch the model to Cloud3   Opus. This is their flagship model. On the other  side, you can switch to GPT-4 1. 1. 0. 6 preview and   you'll be comparing the best version of Cloud  to GPT-4 today. Down here,   you just enter the prompt, then it runs it in  both and you get the results for free. Now,   the whole point of this site is for you to rate  it. So, you know, if you have a preference, go   down here and pick which one you prefer. But there  you go. That's a free way to try Cloud3 and GPT-4.    As you can see here, sometimes it is overloaded,  but yesterday I used it all day and it worked   perfectly. All right, let's move on to the next  use case. All right, next up very briefly, we have

some updates to Microsoft's Copilot. We talked  about this before, but some of these updates are   really nice. And by the way, this is completely  free. But before I show you the updates,   I'm gonna head up to the settings and change it to  the dark mode. Way better. So what I want to talk   about here is the notebook feature, which actually  allows for a whopping 18,000 character prompts.    Good stuff. Okay, it actually took me a while to  understand this feature, but what this is really   good for is refining prompts. Because it takes so  much context, you can copy-paste a long document   into here and you will get the output right here.   And then you can refine it in here as you go. It's   really all about the big input window. And the  second feature they added here is these Copilot   GPTs. So as of now, there's only a few presets,  but they're opening this up as they go. And I just   found this direction very interesting. That's why  I wanted to share. So you can go for one of these   use cases like a fitness trainer, for example, and  then you have prompt recommendations and it takes   on the persona of a fitness trainer. It's really  nice to see integrate these different things that   we've seen in other apps. And this is all free.   But now let's move on. AI tools like this are

some updates to Microsoft's Copilot. We talked  about this before, but some of these updates are   really nice. And by the way, this is completely  free. But before I show you the updates,   I'm gonna head up to the settings and change it to  the dark mode. Way better. So what I want to talk   about here is the notebook feature, which actually  allows for a whopping 18,000 character prompts.    Good stuff. Okay, it actually took me a while to  understand this feature, but what this is really   good for is refining prompts. Because it takes so  much context, you can copy-paste a long document   into here and you will get the output right here.   And then you can refine it in here as you go. It's   really all about the big input window. And the  second feature they added here is these Copilot   GPTs. So as of now, there's only a few presets,  but they're opening this up as they go. And I just   found this direction very interesting. That's why  I wanted to share. So you can go for one of these   use cases like a fitness trainer, for example, and  then you have prompt recommendations and it takes   on the persona of a fitness trainer. It's really  nice to see integrate these different things that   we've seen in other apps. And this is all free.   But now let's move on. AI tools like this are

great, but they can't do it all for you. To  get the most out of a tool like Midjourney,   you have to know a little bit about graphic  design, photography, or painting. And that's   exactly where Brilliant. org comes in, the sponsor  of today's video. Brilliant is an interactive   learning platform where you can acquire the tools  you need to truly get the most out of AI and   achieve your goals. Answer a few simple questions  when you sign up and Brilliant will help you find   the learning path for you. This includes courses  and Brilliant has over 100 courses available for   you to try for free right now. And every month  they're adding more. One thing that's really great   is that they add these case studies like this one  in the data analysis learning path called Topping   the Charts with Spotify. It uses real Spotify  data to teach you about advanced probabilities,   making the concepts relatable, and genuinely fun  to learn. If you ever felt like learning isn't   for you, let's be real, it's probably because of  traditional education. And that's not the case   with Brilliant. Their bite-sized interactive  lessons get you hands-on with the concepts,   a technique that has been proven time and time  again to help you learn more efficiently. Here   on this channel, we're all lifelong learners  because that's what you need to be if you want   to stay on top of AI. Most of the things we cover  here are brand new, so by the very definition,   if you want to use it, you gotta learn it. And  Brilliant is here to support you on that journey.    Go to brilliant. org slash the AI advantage and  start your learning journey today for free for   the first 30 days. And the first 200 people that  sign up will get 20% off the annual subscription.    Thanks again to Brilliant for sponsoring this  video. But now let's move on to the next use case,

great, but they can't do it all for you. To  get the most out of a tool like Midjourney,   you have to know a little bit about graphic  design, photography, or painting. And that's   exactly where Brilliant. org comes in, the sponsor  of today's video. Brilliant is an interactive   learning platform where you can acquire the tools  you need to truly get the most out of AI and   achieve your goals. Answer a few simple questions  when you sign up and Brilliant will help you find   the learning path for you. This includes courses  and Brilliant has over 100 courses available for   you to try for free right now. And every month  they're adding more. One thing that's really great   is that they add these case studies like this one  in the data analysis learning path called Topping   the Charts with Spotify. It uses real Spotify  data to teach you about advanced probabilities,   making the concepts relatable, and genuinely fun  to learn. If you ever felt like learning isn't   for you, let's be real, it's probably because of  traditional education. And that's not the case   with Brilliant. Their bite-sized interactive  lessons get you hands-on with the concepts,   a technique that has been proven time and time  again to help you learn more efficiently. Here   on this channel, we're all lifelong learners  because that's what you need to be if you want   to stay on top of AI. Most of the things we cover  here are brand new, so by the very definition,   if you want to use it, you gotta learn it. And  Brilliant is here to support you on that journey.    Go to brilliant. org slash the AI advantage and  start your learning journey today for free for   the first 30 days. And the first 200 people that  sign up will get 20% off the annual subscription.    Thanks again to Brilliant for sponsoring this  video. But now let's move on to the next use case,

which is actually Google's Gemini that replaces  their assistant. And before the comments fill up   with Google Gemini hate, as it usually happens  recently, hear me out. This is actually too good   not to cover. I think this just makes so much  sense. Because essentially, what they're doing   is they're replacing Google Assistant on Apple,  that would be Apple Siri, with their Gemini   large language model. So it just becomes so much  smarter. And if you paid close attention, yes,   they did this right on release, but it couldn't do  a lot of things. It couldn't create tasks or look   into your emails. Now it can. But as an iPhone  user, I didn't get to test this yet. Luckily,   one of the AI Advantage team members, Daniel  has a Pixel phone, and he tested this out. So   here's a little screen recording on how it works.   You can use voice input to tell it things like,   do you have any unread email messages, and  then it uses Google Workspace to actually look   at your emails, and it gives you all the subject  lines. And then you could prompt on top of that,   summarize all of them, which ones are important,  related to my work, whatever you might be doing.    Set a reminder to take the trash out, or ask about  upcoming football matches. Now if you look across   the internet, some people claim that they might  have jumped the gun on this, that it's not a fully   developed product. But I really like the fact that  they took this bold step. And this is one of those   use cases where it's just a no-brainer. Would  I want a better Siri in my iPhone? Absolutely.    Will it come? For sure. When? I have no idea.   It might be 2030. We shall wait and see. It just   makes so much sense though, right? Because usually  these assistants, they're pretty two-dimensional,   and with a large language model in there,  especially one of the better ones, plus the   ability to actually interact with some of my apps,  eliminating the need for me to go around and,   you know, press buttons and spend time setting it  up. That's a real no-brainer, so I'm glad Google   took the step here. So yeah, if you have a Pixel  phone, you can switch out your Google Assistant   for Gemini. And you'll officially be running  around with a supercomputer in your pocket that   has an AI assistant that runs on it. The future  is here, I guess. Okay, let's move on to the next

which is actually Google's Gemini that replaces  their assistant. And before the comments fill up   with Google Gemini hate, as it usually happens  recently, hear me out. This is actually too good   not to cover. I think this just makes so much  sense. Because essentially, what they're doing   is they're replacing Google Assistant on Apple,  that would be Apple Siri, with their Gemini   large language model. So it just becomes so much  smarter. And if you paid close attention, yes,   they did this right on release, but it couldn't do  a lot of things. It couldn't create tasks or look   into your emails. Now it can. But as an iPhone  user, I didn't get to test this yet. Luckily,   one of the AI Advantage team members, Daniel  has a Pixel phone, and he tested this out. So   here's a little screen recording on how it works.   You can use voice input to tell it things like,   do you have any unread email messages, and  then it uses Google Workspace to actually look   at your emails, and it gives you all the subject  lines. And then you could prompt on top of that,   summarize all of them, which ones are important,  related to my work, whatever you might be doing.    Set a reminder to take the trash out, or ask about  upcoming football matches. Now if you look across   the internet, some people claim that they might  have jumped the gun on this, that it's not a fully   developed product. But I really like the fact that  they took this bold step. And this is one of those   use cases where it's just a no-brainer. Would  I want a better Siri in my iPhone? Absolutely.    Will it come? For sure. When? I have no idea.   It might be 2030. We shall wait and see. It just   makes so much sense though, right? Because usually  these assistants, they're pretty two-dimensional,   and with a large language model in there,  especially one of the better ones, plus the   ability to actually interact with some of my apps,  eliminating the need for me to go around and,   you know, press buttons and spend time setting it  up. That's a real no-brainer, so I'm glad Google   took the step here. So yeah, if you have a Pixel  phone, you can switch out your Google Assistant   for Gemini. And you'll officially be running  around with a supercomputer in your pocket that   has an AI assistant that runs on it. The future  is here, I guess. Okay, let's move on to the next

one. And this one is actually super fun. Okay, so  this is the TTS Arena, aka text-to-speech arena.    And if you've been following the channel, you  might have seen me talk about chatbot arena, where   you run a prompt and it gives you two outputs with  different large language models, and then you get   to vote which one you prefer. This effectively  crowdsources the ranking of these chatbots instead   of relying upon these benchmarks that have kind of  lost their credibility across the last few months,   if you ask me. So this is the same concept, but  for speech synthesis. In other words, I could go   in here and say something like, welcome to the  AI Advantage, and then I could synthesize this,   and it's going to generate this with two random  synthesizers. And honestly, when I was testing   this out, I just found myself stuck in here  doing this for 10 minutes. It feels like a game,   and the game loop here is really spot on. Just  test out one. Welcome to the AI Advantage. And   then another. Yeah,  so in my opinion, clearly the first one is better.    And then you just go into the next round. You can  randomly generate phrases like this. The lathe to   make brass objects. That's terrible. He used the  lathe to make brass objects. It's a bit better.    And then you just keep doing this. And then you  can tab over here on the leaderboard, and you'll   see the best speech generators according to the  site. Maybe less of a use case, but more of a   resource. Nevertheless, a fantastic site that I  think could be useful to many of you. All right,

one. And this one is actually super fun. Okay, so  this is the TTS Arena, aka text-to-speech arena.    And if you've been following the channel, you  might have seen me talk about chatbot arena, where   you run a prompt and it gives you two outputs with  different large language models, and then you get   to vote which one you prefer. This effectively  crowdsources the ranking of these chatbots instead   of relying upon these benchmarks that have kind of  lost their credibility across the last few months,   if you ask me. So this is the same concept, but  for speech synthesis. In other words, I could go   in here and say something like, welcome to the  AI Advantage, and then I could synthesize this,   and it's going to generate this with two random  synthesizers. And honestly, when I was testing   this out, I just found myself stuck in here  doing this for 10 minutes. It feels like a game,   and the game loop here is really spot on. Just  test out one. Welcome to the AI Advantage. And   then another. Yeah,  so in my opinion, clearly the first one is better.    And then you just go into the next round. You can  randomly generate phrases like this. The lathe to   make brass objects. That's terrible. He used the  lathe to make brass objects. It's a bit better.    And then you just keep doing this. And then you  can tab over here on the leaderboard, and you'll   see the best speech generators according to the  site. Maybe less of a use case, but more of a   resource. Nevertheless, a fantastic site that I  think could be useful to many of you. All right,

moving on. Very briefly, this just popped up  on my radar a few minutes before I started   recording this, literally. And what this is, is a  new interface that you can use inside of Automatic   11. 11 that generates images with transparent  backgrounds. So if you're not aware, this   is not possible with any diffusion model as of  now. DALI, Stable Diffusion, Excel, Mid Journey,   it doesn't matter. None of them can do transparent  backgrounds. That is actually a bigger deal than   you think, because once you have a transparent  background that is actually flawless, you can   composite it really easily with other things.   Like, think about a lot of the problems we have   with AI images now, like the text not working out  properly. Well, if you could generate two images,   one where it's just the text, stylized just like  the background image, and then the background   image, you could connect them really easily,  and you wouldn't have to create everything in   one process, which seems to be a big problem with  these diffusion models. Another great thing about   this is that it eliminates the need to remove  the background in some workflows. So people are   building these workflows where they link a lot of  nodes together, and oftentimes one of them removes   the background, and then everything can happen  in an automated fashion. But the problem is, if   you have automated background removal, it's just  not going to work every single time, especially   in cases like this, when you're trying to remove  the background behind hair, for example. That's   particularly tricky in Photoshop, there's an extra  tool for that. And then you have different sliders   that you adjust to make it really look good. And  if you use an automated tool, it's never really   going to be perfect at this. Well, you avoid that  entire process if you generate the image without   the background from the get go. Same thing with  glass, notoriously tricky, and you need to know   the specific Photoshop technique to do this well.   And automated apps weren't good with this. So I'm   excited to see where this leads. We're going to  cover the workflows people built with this when   something new comes out. But I thought this  was significant enough to include this and to   let you know about it. As in my opinion, this is a  bigger leap than most people realize, hey, I just   becoming better every single week. Okay, moving  on to something we're going to try here. It's a

moving on. Very briefly, this just popped up  on my radar a few minutes before I started   recording this, literally. And what this is, is a  new interface that you can use inside of Automatic   11. 11 that generates images with transparent  backgrounds. So if you're not aware, this   is not possible with any diffusion model as of  now. DALI, Stable Diffusion, Excel, Mid Journey,   it doesn't matter. None of them can do transparent  backgrounds. That is actually a bigger deal than   you think, because once you have a transparent  background that is actually flawless, you can   composite it really easily with other things.   Like, think about a lot of the problems we have   with AI images now, like the text not working out  properly. Well, if you could generate two images,   one where it's just the text, stylized just like  the background image, and then the background   image, you could connect them really easily,  and you wouldn't have to create everything in   one process, which seems to be a big problem with  these diffusion models. Another great thing about   this is that it eliminates the need to remove  the background in some workflows. So people are   building these workflows where they link a lot of  nodes together, and oftentimes one of them removes   the background, and then everything can happen  in an automated fashion. But the problem is, if   you have automated background removal, it's just  not going to work every single time, especially   in cases like this, when you're trying to remove  the background behind hair, for example. That's   particularly tricky in Photoshop, there's an extra  tool for that. And then you have different sliders   that you adjust to make it really look good. And  if you use an automated tool, it's never really   going to be perfect at this. Well, you avoid that  entire process if you generate the image without   the background from the get go. Same thing with  glass, notoriously tricky, and you need to know   the specific Photoshop technique to do this well.   And automated apps weren't good with this. So I'm   excited to see where this leads. We're going to  cover the workflows people built with this when   something new comes out. But I thought this  was significant enough to include this and to   let you know about it. As in my opinion, this is a  bigger leap than most people realize, hey, I just   becoming better every single week. Okay, moving  on to something we're going to try here. It's a

new release by stability AI. And in my humble  opinion, as a non 3d artist, this is probably   the best image to 3d model that I've seen yet.   And again, this is just my very brief take,   I tested a few images, but it's actually quite  good. And you can try it out over here on this   hugging face space. Okay, so what we're going to  do here is we're going to screenshot one of the   Sora generated videos. So this takes images as an  input. So we need an image. And what I'm going to   do here is I remember this little character down  here, I'm just going to take this guy. Oh, yeah,   that's the one. I love this little dude. And  what we're going to do is we're just going to   screenshot him, that's important to get the full  body. And then we're going to just upload him over   here. And look, in real time, I'm just going to  say generate. And if this model is not overloaded,   it's actually surprisingly fast. So let's have  a look. 17 seconds later. Not bad, right? Okay,   it looks like somebody punched him in the face  or something. But this is pretty good. And I   found this result to be consistent across multiple  examples. Obviously, some of the showcase examples   are some of the best ones you'll find. Look at  all the detail on this robot. Not bad. So yeah,   stability AI pushing the envelope on what's  possible with these models. And again, I   understand that most people won't be using these.   But yeah, I find it interesting that these use   cases do come up. And over time, we'll see these  integrated into apps we know and love. And then

new release by stability AI. And in my humble  opinion, as a non 3d artist, this is probably   the best image to 3d model that I've seen yet.   And again, this is just my very brief take,   I tested a few images, but it's actually quite  good. And you can try it out over here on this   hugging face space. Okay, so what we're going to  do here is we're going to screenshot one of the   Sora generated videos. So this takes images as an  input. So we need an image. And what I'm going to   do here is I remember this little character down  here, I'm just going to take this guy. Oh, yeah,   that's the one. I love this little dude. And  what we're going to do is we're just going to   screenshot him, that's important to get the full  body. And then we're going to just upload him over   here. And look, in real time, I'm just going to  say generate. And if this model is not overloaded,   it's actually surprisingly fast. So let's have  a look. 17 seconds later. Not bad, right? Okay,   it looks like somebody punched him in the face  or something. But this is pretty good. And I   found this result to be consistent across multiple  examples. Obviously, some of the showcase examples   are some of the best ones you'll find. Look at  all the detail on this robot. Not bad. So yeah,   stability AI pushing the envelope on what's  possible with these models. And again, I   understand that most people won't be using these.   But yeah, I find it interesting that these use   cases do come up. And over time, we'll see these  integrated into apps we know and love. And then

next up a new feature in the AI video world, Pika  labs has shipped something for everybody where it   takes a video and it syncs the lips to the text  that you provided with. So if you generated a   synthetic voice, now you can make the character  in the video match that Pika now supports lip   sync. And it is truly spectacular. Wait, hold up,  hold up, hold up. These things can talk for real.    Now let me tell you, I went ahead and test this  and it's really hit or miss. Now I gotta say the   voices are really good because they partnered with  11 labs to generate those. But the lip syncing,   it's okay. If you have animated characters, it  works really well. I wouldn't even bother trying   it on photo realistic things that doesn't work  at all. Or I think it would be more accurate to   say that it would never fool a human. But that's  a real video of a human talking. But for animated   stuff, it can be really useful. And if you're  trying to tell a story and your character talks,

next up a new feature in the AI video world, Pika  labs has shipped something for everybody where it   takes a video and it syncs the lips to the text  that you provided with. So if you generated a   synthetic voice, now you can make the character  in the video match that Pika now supports lip   sync. And it is truly spectacular. Wait, hold up,  hold up, hold up. These things can talk for real.    Now let me tell you, I went ahead and test this  and it's really hit or miss. Now I gotta say the   voices are really good because they partnered with  11 labs to generate those. But the lip syncing,   it's okay. If you have animated characters, it  works really well. I wouldn't even bother trying   it on photo realistic things that doesn't work  at all. Or I think it would be more accurate to   say that it would never fool a human. But that's  a real video of a human talking. But for animated   stuff, it can be really useful. And if you're  trying to tell a story and your character talks,

it's a no brainer. You need this in your workflow.   Okay, then I have one more use case for today. And   this one is really, let's say I was very hesitant  in putting this into the video. But you know what   I think you should know about it. It's trending  all across Instagram. And it's this app called   geospy. ai. And essentially, you put an image and  it tells you the geolocation of the image based   on what it sees. Now the thing is not fully  rolled out. You can sign up for early access   to the pro version, which will be able to provide  you with the exact coordinates of the image. And   this stuff is a bit creepy. And if I had a choice,  if this thing should exist and be available to the   public or not, yeah, I would go with not without  hesitation. But that's just not how it works. This   thing exists, and I feel a responsibility to  actually share the existence of it with you.    In my testing, it has been quite good. But as of  now, it can only locate the city, not the exact   coordinates. Okay, so if I head on over to Google  Maps, and I go into Street View, I'm just going   to screenshot a random part of this. So I don't  know if you're not a GeoGuessr pro, I don't think   you could tell that this is a specific city. I  don't know, maybe. And all I'm going to do is   upload this. And this tool is free right now. So  you can try this on any image on your phone. I'm   just going to upload this and we're going to see  if it identifies it correctly. And yeah, there   you go. Country Portugal, city Lisbon, estimated  coordinates. Again, these just identify the city,   not the exact location that is supposed to come in  the pro version. Either way, I think it's better   to be aware of these things rather than shutting  your eyes and pretending like these things are not   happening. Also, in our weekly newsletter, we did  multiple segments on deepfakes and fake telecalls,   because I think it's really interesting for you  to know about this stuff. The only way to protect   yourself is to be informed. If you're just going  to shut your eyes and pretend like AI technologies   are not progressing, well, you're just opening  yourself up to people abusing technologies like   this. You know, now that you heard that app like  this kind of is under development, and other   people are going to do that too. And in a few  years, it might be quite common, you might just   reconsider the next thing that you share on your  Instagram story, or you might make your profile   private, whatever it might be. I think education  around these topics is the only way forward. And   I hope I can contribute my part to that. And  with that being said, those were all of this   week's use cases. If you want to learn more, we  have a playlist with all of the previous videos.    So just because something came out a few weeks ago  doesn't mean it's not super useful. Particularly   last week's videos seem to be really useful to a  lot of things. I still use GigaBrain for research   most days. And this week, I've been using Cloud  every single day. So new and useful stuff is   coming out all the time. If you want to stay on  top of it, subscribe to the channel. And I'll see   you next Friday when we look at next week's use  cases. All right, that's it for now. See you soon.

it's a no brainer. You need this in your workflow.   Okay, then I have one more use case for today. And   this one is really, let's say I was very hesitant  in putting this into the video. But you know what   I think you should know about it. It's trending  all across Instagram. And it's this app called   geospy. ai. And essentially, you put an image and  it tells you the geolocation of the image based   on what it sees. Now the thing is not fully  rolled out. You can sign up for early access   to the pro version, which will be able to provide  you with the exact coordinates of the image. And   this stuff is a bit creepy. And if I had a choice,  if this thing should exist and be available to the   public or not, yeah, I would go with not without  hesitation. But that's just not how it works. This   thing exists, and I feel a responsibility to  actually share the existence of it with you.    In my testing, it has been quite good. But as of  now, it can only locate the city, not the exact   coordinates. Okay, so if I head on over to Google  Maps, and I go into Street View, I'm just going   to screenshot a random part of this. So I don't  know if you're not a GeoGuessr pro, I don't think   you could tell that this is a specific city. I  don't know, maybe. And all I'm going to do is   upload this. And this tool is free right now. So  you can try this on any image on your phone. I'm   just going to upload this and we're going to see  if it identifies it correctly. And yeah, there   you go. Country Portugal, city Lisbon, estimated  coordinates. Again, these just identify the city,   not the exact location that is supposed to come in  the pro version. Either way, I think it's better   to be aware of these things rather than shutting  your eyes and pretending like these things are not   happening. Also, in our weekly newsletter, we did  multiple segments on deepfakes and fake telecalls,   because I think it's really interesting for you  to know about this stuff. The only way to protect   yourself is to be informed. If you're just going  to shut your eyes and pretend like AI technologies   are not progressing, well, you're just opening  yourself up to people abusing technologies like   this. You know, now that you heard that app like  this kind of is under development, and other   people are going to do that too. And in a few  years, it might be quite common, you might just   reconsider the next thing that you share on your  Instagram story, or you might make your profile   private, whatever it might be. I think education  around these topics is the only way forward. And   I hope I can contribute my part to that. And  with that being said, those were all of this   week's use cases. If you want to learn more, we  have a playlist with all of the previous videos.    So just because something came out a few weeks ago  doesn't mean it's not super useful. Particularly   last week's videos seem to be really useful to a  lot of things. I still use GigaBrain for research   most days. And this week, I've been using Cloud  every single day. So new and useful stuff is   coming out all the time. If you want to stay on  top of it, subscribe to the channel. And I'll see   you next Friday when we look at next week's use  cases. All right, that's it for now. See you soon.