AI News: An INSANE Week… Here’s What Matters

Here's the AI news you probably missed this week, starting with the brand new model that has everybody talking right now, Claude Fable 5. Now this is a model that I did an entire breakdown video of where I explain exactly what this model is, what people love about it, what people hate about it, some misconceptions, and even test it a little bit. You can find it over on my YouTube channel. It's called Why Everyone Is Freaking Out About Mythos, at least for right now. I split test titles and thumbnails constantly, but in case this is like the only video you watch watch each week to stay up to date with the news, I'll give you the TL; didn't watch. So in Anthropic's announcement on June 9th, they actually announced two models: Claude Fable 5 and Claude Mythos 5. There's been a lot of videos and tweets and things like that saying that Anthropic finally unleashed Mythos on the world, but that's not technically true. They call Claude Fable 5 a Mythos class model, but it's not actually the Mythos model that everybody was freaking out about a couple months ago. This Mythos class model sits at a tier above Opus. So they have Haiku as their lowest tier, cheapest models to use. Sonnet was their middle tier. Opus was their top tier. Now the Mythos tier is the tier above Opus, and we're getting Fable 5, which is a Mythos tier model. The actual Mythos 5 model is for a small group of cyber defenders and infrastructure providers. They claim it's the same underlying model as Fable 5, but with the safeguards lifted in some areas. So there's a lot of extra safeguards put on top of this Fable 5, which prevents it from cybersecurity-related prompts, biology-related prompts, and even prompts related to like training your own AI models. Anthropic doesn't want anybody to use their models to help them train their own models, which is like a big point of contention right now. If you're interested in benchmarks, here's how it stacks up against other models. It's pretty much state-of-the-art in everything if you trust these benchmarks. Now, SuiBench Pro, hard to trust because it was recently found out that a lot of the Claude models, when being tested for this benchmark, essentially looked up the answer key instead of actually solving the problem. Now, this This model is really designed for like the biggest, toughest, most logic-intense projects that you throw at it. We can see here Fable and Mythos can work autonomously for longer than any previous Claude models. Now the big issue that people have with this model is more the safety and security issues. People have been showing screenshots where they upload blood work to it and ask it to analyze the blood work and it refuses, saying that it's not safe to do that. Or people asking questions about cancer. This is actually something I confirmed myself when I asked it, explain how BRCA "Hey, one, mutations increase breast cancer risk." I originally asked Fable-5 this prompt and it switched it to Opus 4.8 for me, saying that it was too unsafe to ask Fable. There's also some controversy around this, like if you were to ask it about LLM development, it would actually pivot to like a dumber model and not answer the questions for you. This is from Anthropic's documentation. We've added safeguards related to frontier LLM development. We've implemented new interventions that limit Claude's effectiveness for requests targeting frontier LLM development. Unlike our interventions for cybersecurity, biology, and chemistry, and distillation attempts, these safeguards will not be visible to the user. So essentially, if you were asking this model to help you create your own separate large language model, it would still respond. It would just dumb down the model and just give you like a worse response than it should. And people on X were not happy with this. The CEO of Hugging Face said, concentration of power, capabilities, and economic wealth is the biggest risk in AI. We need open science and open resource more than ever. Jeremy Howard says Anthropic has chosen the opposite of the safe path. They're allowing themselves, the current top lab, to use their top model for frontier AI research. They've said they'll sabotage others who try. This means the AI frontier advances and power imbalance increases. Graham Newbig here says, I feel we're getting a glimpse of a future where AI is only provided to a privileged few, and that's not a future I want to live in. And there are many such cases of tweets along this same vein here. Luckily, however, Anthropic relented, sort of. According to this article on NBC News here, after the outcry, Anthropic backtracked and reversed some of its most conservative decisions less than 2 hours after Fable 5's release, highlighting growing concerns about AI companies' ability to unilaterally limit users' access to helpful AI-generated information. You should have visibility into the safeguards we have in place and why. We're sorry for not getting the balance right. Basically what it sounds like is happening is Anthropic's still gonna block these things. They're still gonna send you to a dumber version of the model when you ask them. They're just gonna tell you that they're doing it instead of not telling you that they're doing it. So some quick additional details here before actually showing you some of the things it's capable of. As of right now, you can use it inside of one of the paid plans. So Pro, Max, and Team plans can use this Fable-5 model, but only until June 22nd. On June 23rd, they're going to remove Fable-5 from those plans. And if you want to use it after that, it's going to require additional usage credits. They do say if capacity allows, it'll extend the included window. So maybe we'll get it for a little bit longer. It is, however, pretty much the most expensive model. Pricing for both models is $10 per million input tokens and $50 per million output tokens. That's exactly double the cost of Claude Opus 4.8. Now, saying all of that, it is a really, really good model. It's especially if you're using it for like coding stuff. It's coded stuff with one shot that just blew me away. In the last video I made about it, I actually gave it the prompt, make a clone of Megabonk, which is, you know, a really fun 3D game. And it basically one-shotted this game and it looks really, really good. I mean, this was the very, very first iteration outta the box with only that single prompt. I mean, it looks more like a potato than an actual person, and there's not much animation. We're just getting cubes. But the game was really fun. I was pretty impressed with how it came out on the first try, and it coded the whole thing into a single HTML file, which is kind of crazy. But I wasn't totally happy with that first version, so I went back and forth with a few more prompts, maybe 4 more prompts, giving it different features and different things I wanted to do with the graphics. And here's where that game stands now that Fable created. And yes, it even generated the music, but we can see our character walks around. I can actually rotate my camera around the character. Our enemies are a little bit, uh, better looking than the cubes we had before. There's actually different depth to the terrain. There's, you know, rocks and things that you can bump into. I added, uh, the ability to sprint, the ability to jump. It's just a much better game than the original potato running around killing cubes. So I was really impressed with this. I even put this game online. If you want to try it and play around with it for free, the link will be in the description. And I put it up on GitHub, so if you do want to download this and fork and make your own version of it, it is available to mess around with there. But I'm warning you, it's pretty addicting game. Just for fun, I asked Fable to make me a YouTube clone called AI Tube. Not because I wanted to see if it can clone the look of the site, but I wanted to actually see if it would clone a recommendation algorithm. I wanted it to pull a bunch of videos from YouTube and then based on videos that I watched, it actually recommend new videos. And this is just one shot. This is one prompt here and this is what it looks like. As you can see, this is AI Tube. This is not YouTube. Complete with history. You can see I've already been testing it where I watched a couple videos in the history. There's an explore page with hardware, podcasts, entertainment, all again videos related to AI. And it's showing a bunch of my videos because, well, I watched one of my videos and then it started recommending more of those. If I come down here and watch, you know, like one of Matt Wolfe's videos, you can see it looks just like I'm watching it on YouTube. It's got this sidebar with up next and everything. But if I actually go home, it should have updated my homepage. Now it's still recommending my videos because it pulled in more of my videos than any other videos. But we can see that it no longer is recommending the MattvidPro video because it thinks I already watched it. If I click on this Wes Roth video, alright, so, and then click back to my homepage, I actually have a slightly updated set of videos. I don't know how well the recommendation algorithm is working. It's kind of hard for me to test since it seemed to have pulled in a lot of my own videos, but it seems like it is updating every time I watch a video and come back to the homepage. The videos sort of change a little bit anyway. It was a fun one-prompt test. I don't actually plan on pursuing this as a real project, but probably the most impressive project that I built is this new one called YouTube Article B-roll Generator. Now this one actually lives on my desktop. It doesn't live in the browser, but let me show you what this one does. You can see I can turn any article into B-roll. I just give it a URL. So for example, I can give it this article we were just looking at on Anthropic Claude Fable 5. But what I did was I made it so I can highlight text like this. Let's just say I want to highlight for a small group of cyber defenders and Infrastructure providers, blah, blah, blah. I select that text, click save selection, and then maybe I want to select some more text down here about knowledge work. Select this paragraph here, click save selection at the top, and then if I click capture page, watch what happens. It actually screenshots the entire page and then it gives me these animations automatically out of the box where it zooms in on the page for me and highlights the text I just highlighted, just like that. So it highlighted that first chunk of text and then it's going to zoom down and highlight that second chunk of text that I was talking about right there like that. And I've made it have a bunch of different animations. So I've got this headline reveal. So this is the second type of animation that it'll create where it'll zoom in like that. And then I've got this read-along animation where it does it in this style. They're all pretty similar, but you get the idea. We've got a spotlight here where I press play on this video and you can see it sort of spotlights it like that. Or this box callout, you can see it zooms to this and then and sort of circles it. Yeah, still some issues I gotta figure out here, but then it circles that paragraph there. I can change how long each of these steps last for. I can change the color of the highlighting, change the color of the borders, things like that. And then when I'm done, I click on export and it saves it as an MP4. And now I've got B-roll of this article that I can throw into my video, and I don't have to go record this B-roll separately. It just generated it for me. Obviously a very niche problem that solves something that I do in my videos, but it's gonna save a heck of a lot of time. And this was done with two prompts in Fable. All right, I want to move on past Fable for now because I did make a whole video about that. But there was another huge event this week that the AI world is buzzing about, and that's Apple's WWDC event, their Worldwide Developer Conference event. And this year it was all about AI. So I'm going to quickly cover some of the big AI announcements that came out of WWDC. I'm going to do my best to sort of rapid-fire cover everything because again, there was a lot And I'm not getting into like every single announcement they got into, just the sort of more practical AI stuff that I think most people are going to care about. They started by announcing that they're actually going to be using their own foundation models as well as Google's Gemini models. This year, we embarked on a deep collaboration with Google, leveraging the technologies behind their Gemini family of models. Together, we created the next generation of Apple Foundation models. For our integrated Apple intelligence experiences. They explain that when you use Siri AI on the phone, it's either going to handle that AI prompt on the phone directly or using private clouds where Google gets none of your data saved. They talked about how Siri is going to have this personal context understanding, so it's going to know your photos, your calendars, your text messages, pretty much anything that developers give access to this context Siri's gonna be able to use that. A big chunk of this keynote was dedicated to like the Siri that we kind of always hoped Siri would be. More capable. It has access to world knowledge. It has access to context on your phone. It's supposedly gonna be more conversational. There's going to be a dedicated Siri app. It's gonna have visual intelligence so you can actually open your camera and it will understand what it sees around you as well as what's on your photos. You're gonna be able to write with Siri. They showed off some examples in their keynote where they asked about tickets for a concert and it told them they had to enter a lottery, and then he set a reminder to enter the lottery at that time. He showed it a picture on Instagram and asked where it was, and it looked at that picture, figured out where it was, and then gave him directions to where that was. You know, he was rearranging photos by dictating to Siri. So it sounds like you're going to be operating your phone by just sort of talking to it if you want to do it that way. Hey, take this photo, put it here. Hey, remind me about this thing. Look at the photo on my screen, tell me where it is, give me directions to it. Like, they're just trying to make this thing much more conversational to go do things on your behalf within your phone in the context that it has on your phone. You'll be able to customize your Siri, like how fast it talks and how expressive it is. There's various voices you can choose from, you know, kind of the stuff that you would expect from most of like an AI chatbot these days. Here's a few more examples of ways that they were using it in their demo. They put together a plan to visit different places in New York. It reviewed the conversation and helped them get back up to date with it. It reviewed some financial data for them. Again, a lot of what we've seen out of tools like ChatGPT, like Anthropic, like Gemini. It's a lot of the same kind of stuff just now coming native to an iPhone. Another thing I found kind of interesting is if you're on like a Mac or a MacBook, Siri's going to come to Spotlight. So, you know, if you hit Command Spacebar and bring up this little Spotlight search, you're gonna be able to prompt it with AI and say, you know, rearrange these folders or look at all of these documents and tell me the differences between 'em, things like that. And the built-in AI on device will be able to do those kinds of things for you. You could see he plugged in 3 different, like, shed kits, selected them all, and then asked for a comparison, and then it popped up a little box where it compared the 3 for him. This new version of Siri is going to come to your watch, it's going to come to the Apple Vision Pro. You can see this little bubble in the center of the screen here. Essentially, if you want to use Siri on your Apple Vision Pro, you just look at the bubble, and because it's got eye tracking, it sees that you're looking at it. And when you talk to the bubble, it, you know, does Siri stuff. And because there's a new dedicated Siri app, it sort of will save all of your conversations and things you're doing in that app. So it works across device and theoretically you'll have context across device. So you can be doing something on your phone or your watch, your Apple Vision Pro, be sitting at your computer later, and ideally it will have the context of what you were doing on that other device earlier. They're also adding a new Siri mode in the camera app. So if you select Siri, then it basically will use the context of what the camera sees for whatever you prompt it with. So in this picture, they're pointing it at a red ball, and because they're in Siri mode, Siri starts telling them, "This appears to be a traditional cricket ball," et cetera. They're able to highlight things on the screen and ask Siri about those things. They look at like a calendar on a webpage and it actually pulls in the event separately. You know, here's them talking to Siri in the Apple Vision Pro about what they're seeing in the browser. You can write with Siri, so it'll actually help you write like a rough draft. You know, it's a lot of the same stuff we've kind of had access to in almost all of the AI tools, just, you know, Now Apple's version, it'll give you suggestions inside of Mail based on what it reads in the email. Now out of the entire keynote, this was the thing I was probably the most excited about actually getting on my phone is this Shortcuts feature with AI. You can essentially describe the shortcut you want, right? Like if you're not familiar with Shortcuts, they're like little automations that you can set on your phone. Like if I'm in a certain location, send this text message to this person. So they're adding this feature called Describe a Shortcut, which allows you to use AI to say, here's what I want to happen, and it will actually go and build that shortcut for you. Like, you just say, when I'm leaving work, message Pedro, I'm on my way with my ETA, and it will actually go and build that shortcut for you. I like never use the shortcuts feature, but if I can just like explain what I want it to do and it goes and automatically figures out how to build that shortcut for me, that'll be pretty cool. I think you're going to be able to generate images with AI. So they gave it a picture of somebody and said, make her holding a cake. Then they said, give her a detective outfit, and it generated the same image but with a detective outfit. And then they selected the cake and said, add candles to the cake, and then of course it generated an image with candles on the cake. You know, stuff that we've been able to do with all the other image generation platforms for a while now. Now this is one of the other ones that I thought was kind of cool, and I believe we might have access to this if you've updated to the beta version of iOS 27, which is the spatial reframing. You could take a picture like he did on his phone here, and if he doesn't like the framing, he can click this little reframe button and then use AI to change the framing, the angle of the picture,. And you can see the little blurry parts are the parts that were outside of the photo, but it's gonna use generative AI to fill in those areas. But the portion of the photo that is still clear is not using generative AI. And I feel like those were the main, like, big announcements to come out of WWDC this year. Now, if you do have an iPhone and if you did upgrade it to the beta of iOS 27, you can use the reframe right now. So if I open my camera app and I take a picture of just like what I see in my office right now, let's look at this photo. Click on the settings, click on tools. Tools, and you can see I now have Reframe down in the bottom right. So if I click on Reframe, it scans the photo, and now I can actually drag this around and reframe this photo. Now we can see that it's like distorting my camera, and you know, it will have some wonkiness. It's obviously more designed to like reframe people in the photo, but let's like change the angle entirely, click Reframe, and now it's going to generate what it thinks the edges should look like. So there you go, and That's available in beta right now. One thing to note about all of these Apple AI announcements is they said they won't initially be available in the EU due to their AI restrictions there. They are hoping to figure that out as quickly as possible, but at launch they won't be available. Moving on, Google had a series of announcements this week that if they weren't overshadowed by Anthropic and Apple would probably be the biggest announcements of the week. Let's start with the fact that NotebookLM got a bit of an overhaul this week. It was upgraded to run on the Gemini 3.5 model, and each notebook is now equipped with a secure cloud computer, which enables it to write and run code useful for helping you perform deeper research and more complex analysis. So there's over 100 curated skills that now work behind the scenes in NotebookLM, providing like a ton of new capabilities within the platform. There's also new formats that it can output: PNG and SVG, PDFs, Docx, Markdown, text files, PNG, JPEG, GIF or GIF, CSV, JSON, XLSX, PPTX, and you can even make edits after your outputs are generated. It's gotten better at research. You can actually now start with loose ideas and questions, and NotebookLM will guide you through building your source repository directly in the chat. Now on the surface, when I log into NotebookLM, I don't notice a real huge difference, but it's when you actually start chatting with it, you'll notice that it's using a much better model and that it can actually use skills while you're chatting with it. Create a chart that shows the growth of the Birds Aren't Real movement. We can see it now says confirming tool use and crafting the visual. And it kicked off the infographic tool over here on the right. And here's the chart that it generated for me. Not quite what I was asking, but, uh, you know, it took its own liberties. But Google also showed off their new Gemini 3.5 Live Translate model, which does exactly what it sounds like. It will actually translate conversations in near real time. Here's the example they showed off. Watch as we listen to the Google I/O keynote in Hindi. What's really incredible is how people are using our AI. I think you get the idea. It's pretty much like real time. You can watch a video and have it translate for you in real time, and it's actually coming to Google Meet. So you'll be able to have meetings with people in other languages directly inside of Google Meet pretty soon. Cassie, how's the weather in Shanghai? It's nice to meet you. The weather here is really Nice. I spent the whole day with my family in the park. That sounds wonderful. So that should pretty much eliminate all language barriers on meetings and videos online. It's also coming to the Google Translate app on Android and iOS, and you should be able to play with it right now over inside of aistudio.google.com. So if I come up here, click into the Playground, click into Speech and Music here, you can see Gemini 3.5 Live Translate Preview. I could select this and I can directly talk and it will translate. Let's have it Translate to Hindi and I'll click Talk. Hello everyone, don't forget to like and subscribe to Matt Wolfe on YouTube. Namaste, Matt Walker ko YouTube par like or subscribe karna nabule. I don't know how well that worked, but you get the idea here. But I can also share audio from a tab. So if I select a target language here, let's do Spanish, and then Share Audio from a Tab, I could select my YouTube channel here, press play on this video. Spanish. And you can see that as I was watching the video, it was translating it in real time just on another tab. And that's available right now over in AI Studio on Google. And the other announcement that Google made this week was this new Diffusion Gemma. And what's special about this is it does text generation, but it just does it really, really fast. It uses the same technology as the image generation models. You know what, Stable Diffusion and Midjourney and DALL-E, all of these are using diffusion models under the hood. Well, this is using that same technology, but it's generating text instead of images. We can see it's not the most intelligent model in the world. It's about as intelligent as Gemma 4.12B, maybe slightly less intelligent, but it just blows everything out of the water on speed based on tokens per second. Here we can see in this example here where it's doing the Sudoku board, how quickly it solved this right side versus it's still working on this left side. So it's speed that this is really, really good at. So here's the quick explanation of what this is and why you might want to use it. Most language models act like a typewriter. Writer, generating one token at a time from left to right. In the cloud, this is efficient because servers can batch thousands of users' requests together to share the hardware load. But when run locally for a single user, this word-by-word process leaves your dedicated GPU or TPU underutilized. It spends most of its time just waiting for the next keystroke. DiffusionGemma reverses this inefficiency. Instead of predicting words sequentially, it drafts an entire 256-token paragraph simultaneously. By giving the computer's processor a larger chunk of work at at once, DiffusionGemma utilizes your hardware to its full potential. So when you start using a lot of these models on your own computer more and more, models like these diffusion models are going to use your own hardware much more efficiently. And honestly, I think that's the way things are going. I think more and more people are going to want to figure out how to run AI models on device without sending them to clouds, without sending their data to big companies that might train on them or use them to target advertising to you and things like that. So models this show that companies like Google are actively thinking about how do we get better models on your own home device. All right, I know I've covered a lot. It's been a big week, but I have a few more smaller things that I want to talk to you about real quick. So let's just jump into a rapid fire and I'll cover them super quick. Let's start with two different articles penned by, well, two of the biggest name CEOs in the AI space right now. Dario put out an article this week called Policy on the AI AI Exponential, and Sam Altman and Jacob Pachoki put out this article called Built to Benefit Everyone: Our Plan. Two sort of articles laying out how these two companies see the next phase of AI. Now, Dario's article, the main sort of thesis of it is that we're approaching what he's calling powerful AI, or in other words, a country of geniuses in a data center. Now, this is a super long article here, so I'm gonna give you the TL;DR. Dario argues that we need like an FAA-style regulatory body that reviews these models before the public gets access to them to make sure they're safe and secure. He believes that there will continue to be this hypergrowth in the economy, but we need to make sure that everybody shares in on that wealth. He acknowledges there will be job losses and also suggests that something like a UBI and actual higher taxes on the AI companies that get distributed is one way to sort of solve this. He talks about how we can have huge advancements in drug discoveries, but that the current biomedical pipeline is too slow and that we should figure out ways to sort of speed up the process and let AI take over a lot of it. As we've heard in the past, he's worried about domestic surveillance, autonomous weapons, things like that, and that we need an off switch for these models just in case things do get out of hand. And he suggests that we need some sort of like international coalition all working together to secure AI because any one country being too far advanced is like having a modern military but in medieval times. So he's calling upon sort of international collaboration to solve for this. Now onto the article from Sam and Jacob. This article's a little less long, a little less dense, but here's the TL;DR anyway. They believe that by March 2028, we may have a significant fraction of the research being done by AI systems in tandem with researchers. They also believe the economy is going to accelerate by accelerating scientific progress, productivity, and economic growth. And they also say that they're working to ensure gains are widely shared. Everyone should have an opportunity for meaningful share in the prosperity AI creates. The sentiment shared by both CEOs. They want to give everyone on Earth a personal AGI, empowering them to benefit from one of humanity's most transformative technologies in whatever way they choose. They go on to say that they're entering what they call the third phase of OpenAI. The first phase was doing research towards AGI. The second phase was when the research became relevant and, you know, basically useful to the world— ChatGPT, essentially. And now we're on to the third phase. This is where the economy is beginning to shape itself around AI. But they go on to reiterate that above all, we believe a broad distribution of power will help lead to a better future. They want to make sure it's accessible for all, and they also believe safety, privacy, affordability, open ecosystems, and public oversight matter. A good AI future cannot be one where a small number of institutions control most of the capability and most of the upside. They believe the transformation should belong to everyone. Very similar messages, one a little bit longer, one a little bit more brief, but coming from both of the most dominant AI labs of the moment. All right, those were a little less rapid-fire than I wanted them to be. The rest will be really quick. I'm I promise. ChatGPT rolled out a new feature where you can actually send emails directly from within— inside of ChatGPT. So you can have it craft an email, you plug in the email address that it's going to, and you can send it directly from within the chat app. We have a couple announcements around IPOs. OpenAI filed for an IPO. We don't actually know when this IPO is going to happen. It's probably still a ways off, honestly. If I had guess we'll see the OpenAI IPO like next year, early next year sometime. But they did file, so they're showing their intention to IPO soon. But since we're talking about IPOs, as of this video going live, SpaceX has officially IPO'd. Now, as of the recording, they raised $75 billion in a record-breaking IPO. But this is, you know, before the official listing on the market where people can start trading it. So by the time this video is live, people can actively trade SpaceX on the market. At the time of this recording, they sold 555 million plus shares for $135 apiece, making the valuation $1.77 trillion. But again, as of the time this video is actually live, the valuation of this company is now up to the open markets. Coinbase is making their platform available for your agents, so now your AI agent can trade and pay with Coinbase. So if you feel comfortable enough giving your OpenClaw or Hermes agent or whatever agent of choice you're losing access to your Coinbase account. Apparently you can do that now. And finally, we got this tweet from David Holtz, who is the founder of Midjourney, and they're kind of teasing there's some sort of like physical gadget coming. We're starting to send out invites for our first Midjourney hardware launch, and I feel like I'm missing some important mutuals. Poke me if you haven't gotten an invite and think you should. I have no idea what this means, but apparently Midjourney is releasing some sort of hardware in the near future, so that could be interesting. Still no clue what it is, but we'll see. If you have ideas, let me know in comments, whatever it is. I'm sure I'll probably end up buying it anyway. That's what I got for you. I record these videos on Thursdays, publish them on Fridays. So if there's any news that I missed that came out like late Thursday night or on Friday, it didn't make this video, but I'll make sure it makes it into next week's video. There is a lot happening in the world of AI every single day. There's new announcements, there's so many new tools to test and models coming out that are supposedly better and YouTube channels and Twitter accounts that are hyping up everything as like this business is cooked, or this model just changed the game, or if you're not using this agent, then you're falling behind. And so much of it is hype. And so it is my goal with this channel to cut through all the noise, cut through all the hype, and share with you just the things I think are most important for the most amount of people to know. I'll drink from the fire hose, I'll be overwhelmed all week, and then I'll turn around and break it down for you on these Friday videos so you can just watch one video a week if if you want and get totally looped in on everything you need to know. I'm also going to throw in some, you know, tutorials and cool ways to use some of those tools in between the news videos. But these news videos, you can count on them pretty much every Friday. If that's something that interests you, maybe consider liking and subscribing to this channel, and I'll make sure more videos like this show up in your YouTube feed. But again, that's what I got for you. It's been a very hectic week. A really cool model in Fable. I'm having a lot of fun using Fable to generate games and apps that make my editing life easier. And, uh, yeah, you should go try them out. They're pretty cool. Anyway, again, thanks for nerding out with me. Thanks for hanging out with me. I'm done rambling. Hopefully I'll see you in the next one. Bye-bye!