AI News: Opus 5.5, GPT-6 Sol, Jev, Muse and More!

This is another one of those weeks that's been absolutely insane. I just got back from Meta Connect where there was a ton of announcements, but we also got not one, not two, but three new models. The Made on YouTube event was also this week where they announced a whole bunch of new AI features for YouTube, and for a couple days the whole AI world went crazy about something called Jev. So yeah, we got a lot to talk about. I don't want to waste any more of your time. Let's get straight to it. Let's start with Meta Connect because, well. I literally just got back from this event and it's the hottest thing on my mind right now. They made a bunch of announcements related to AI, their Meta Glasses, as well as a new like mixed reality headset. The entire keynote was about 55 minutes and you can find the whole thing online, but here's like the TL;DR. Didn't watch. First off, they made a bunch of announcements around Muse, which is like their AI agent that's very similar to OpenCLAW, but without all of the setup and headaches to get it running. And if I'm gonna be totally honest, it's pretty impressive. I've been actually using it quite a bit to check my emails and add things that it finds in my email to my calendar, as well as to like look at my Instagram and Threads accounts and tell me ideas of things I could post about that are likely to go viral based on other things I've recently posted that have done well. So it is actually really cool and impressive, and I highly recommend everybody check it out because unlike most of the other agents that are out there, there is no complicated setup. And if you're in one of the regions that currently supports it, it's free to use right now. But here's the announcements they made around Muse. First off, you're going to be able to use Muse with your AI glasses. So if you have like Meta Ray-Bans, you're going to be able to direct your agent to go do things for you on your behalf by just talking to your glasses. That same voice mode is available inside of Muse as well, not just on the glasses, but you can use it inside of the app and inside of the browser as well. They also announced a bunch more connectors. I think one of my biggest complaints when I first tested Muse was that there wasn't enough integrations with it yet. But based on their keynote, there's a lot more integrations rolling out soon, including the one that I'm probably most excited about, which is Granola, which is what I use to record most of the meetings I'm on. They also announced that if you use the Muse app on your Mac, it now has computer use, so it can actually take control of apps on your computer, and you could walk away and it'll just keep on doing things for you. This isn't a feature I've had the opportunity to test yet, but again, as far as agents go, This is probably the easiest one to onboard yourself onto, and now it has computer use. They also announced that your Muse will be getting its own email address, so you could add conversations to a thread and your Muse will be able to see those conversations and pick up the information in them inside of your agent. So you can like forward things to it and ask it to do tasks for you. If somebody says, hey, can we schedule a call? You could forward that email to your Muse And say, this person wants to schedule a call, find a time on my calendar that we can schedule the call, add it to my calendar, reply to this person and tell them the time, or give this person 3 times to pick from my calendar. Once they select one, add it to my calendar. So you can have it go and just do that stuff on your behalf now. They also tease something coming called the Muse Charm, which is, you know, sort of being compared to like a Tamagotchi. It's a little handheld device that you could put on a keychain and you can instruct their agent with that. They didn't give a ton of details on this one. They basically said it's something that's still in production, but more details are coming soon and they expect it to be ready for the holidays. They also announced a ton of new AI glasses. So a whole bunch of different form factors. Like they had these massive displays of just all of the different form factors you're gonna be able to get these glasses in. But they also announced something that I think a lot of people are pretty excited about, which is the Ray-Ban Meta Audio. So it's everything you get in the Ray-Ban Meta glasses. They just took the cameras away. These Meta Ray-Bans with the cameras, people have been calling them like creeper glasses or pervert glasses or things like that because they're afraid that people are like recording everyone around them without the consent. And people are starting to get mad when they see other people wearing the glasses with the cameras on them. So Meta said, fine, we'll offer some glasses that don't have the cameras. So if you want all of the functionality of the Meta glasses, but you don't want to be walking around with cameras on your head, well, that's what these Ray-Ban Meta Audios are for. I did get to test these as well, and they sound really, really good. They did also touch a little bit on the Meta Ray-Ban Displays, which are the glasses they announced last year. That has the little like wristband where you can control the glasses with like hand gestures. And then you also have like a little display on one frame of the glasses. There's things coming like cycling and public transit directions, navigation that actually sounds more like a person, a more powerful calendar, mirrored notifications from your phone, threads for community feeds, as well, of course, the ability to control your Muse agent with these glasses as well. But by far the most sort of show-stopping moment that seemed to impress the most amount of people, myself included, was the new Meta VR glasses. Because these are like your Meta Quest, but without the big bulky VR headset. They actually just go over your ears like regular glasses. And the quality when you're looking through them are like just as good, if not better, than the Apple Vision Pro. And the feeling when you're using them is very similar to an Apple Vision Pro. You get really clear pass-through where you can see everything crystal clear. You use eye tracking to select stuff. You use finger gestures to like click on things. And I think when people get their hands on these, they're going to be really, really impressed by them. They're also super light. They're only 100 grams, which is the weight of about like a deck of cards. And they do have like this little puck thing. So you put the glasses on, There is a cord coming off the glasses that goes to this little battery, but pretty much all the compute is happening on this battery as well. So that's your power, but that's also where all of the compute is happening, which is how they get the glasses to be so light, is that all the technical stuff is happening in this device, not within the glasses themselves. Again, think of this as almost like an Apple Vision Pro, but without the giant headset, just more of like glasses that you put on your face with a little like puck coming off of them. But if you've ever tested an Apple Vision Pro, like, it's like that kind of quality when you're looking through it. And you're going to be able to do everything that you can do on a Meta Quest right now. Pretty much everything that's available for Meta Quest is going to be available for this as well. So any games you play on Meta Quest, you'll be able to play on this device as well. And they also showed off that calling is now going to have a full hologram, you know, with legs and all, not a cartoon character like the old Horizon Worlds. Not like what you get out of an Apple Vision Pro where it's just sort of like a boxed person. Like you're actually going to see the person standing in front of you with legs and all. That feature, by the way, is also coming to the Meta Displays. You're going to be able to see that full hologram with the Meta Displays pretty soon as well. They're coming spring of 2027 for $1,299. So $1,300. And spring can't come fast enough because like these are really cool. Now on the second day of Meta Connect, I actually wasn't there for the second day, but they did make even more announcements for developers, including This new Horizon Create and Horizon Studio. This is basically AI-powered platforms to create things for the Meta devices. 2 new tools built on agentic creation capabilities of the Meta Horizon Engine. Both enable creators to turn any idea into a complete 2D or 3D mobile game, complete with progression systems, balanced difficulty, art direction, multiplayer, and more. So with Horizon Create, you're gonna be able to open an app on your phone, describe the game you want to build in your own words, and then watch it come to life. With Horizon Studio, you can do the same in your browser. And I imagine it's only a matter of time before we're gonna be prompting like VR worlds into existence inside of the VR headsets as well. But that's pretty much the quick recap of everything they announced at Meta Connect. I think it was one of the better keynotes they put out in a while. I know there's a lot of people that anytime I mention anything Meta related, they're gonna give some pushback because there's a lot of non-fans of Meta. But personally, I think they're putting out some pretty cool stuff right now. So, and yes, I am slightly biased 'cause I still have like an afterglow from Being at this really impressive event. So keep that in mind as well. We also got some big announcements out of OpenAI this week. Not only did we get GPT-6 Sol and GPT-6 Luna, which I talked about in a recent video on my channel, we also got another feature that I did get a chance to play around with while I was at my hotel room. So check this out. Next up is an update out of OpenAI. They just made the API for GPT Live 1 generally available, and it lets a voice assistant keep talking to you while an agent does the work behind the scenes. I'm going to use it along with GPT Astra and Codex to build a live interactive AI news researcher. So here's my prompt: build a voice-powered AI news app using GPT Live 1 and the Agents API. Include clickable sources. So now I can ask, find today's biggest AI stories. I'll look it up. Actually, only include updates about new tools people can actually try. Okay, focusing on just those. Show me all the original announcements from the primary source, not just the news articles covering them. What's cool is that the conversation and the research could happen at the same time. I could keep talking and change direction as the agent works instead of waiting for the research to finish before giving it another instruction. So if you want to build something for yourself, try OpenAI's APIs in Codex today. And thanks so much to OpenAI for supporting my channel and sponsoring this portion of today's video. And like I mentioned, we did also get GPT-6 Sol. And Luna. And if you did miss my last video where I talked about it, here's the quick recap. These models are essentially like price cut models. They're models that are still really, really good models, but are designed to be a lot less expensive than using GPT-6 Astra. So if we scroll down and we look at the pricing here, GPT-5.6 Sol was $4 input and $20 output. With GPT-6 Sol, they cut that cost in half down to $2 input and $10 per million token output. GPT-5.6 Luna to GPT-6 Luna also got cut in half from $0.20 to $0.10 and from $1.20 down to $0.50 per million tokens. So this is designed as an inexpensive but good model. It is not a model that is just burning up all the benchmarks though. We can see GPT-6 Astra on Automation Bench here is still their best model where the new GPT-6 Sol is still pretty good, right? Using it on extra high is about as good as using Astra on medium in terms of the score. But if we look at the cost along the bottom, it's quite a bit less expensive to use. On Agent's Last Exam here, you can see here's Astra, still their best model, but GPT-6 Sol and GPT-6 Luna are still decent models in terms of how they score. They're just doing it for a lot cheaper. Now, I did give it my normal mega bonk test by giving it this prompt here. And you can see on GPT-6 Sol, Soul Ultra, so pretty much the most powerful mode you could put it on. It only worked for 24 minutes and 10 seconds, and here's what it created. And it looks pretty good. I mean, it's not horrible. I can't actually change the camera angle with my mouse, but it's it's not bad. Definitely better than we were getting with Fable, but not quite as good as what I think we got out of Astra. So pretty much what you'd expect from a model that's almost as good, but it's cheaper, and again, not quite as good on the benchmarks. I did run it through my Busey bench here, and surprisingly, it. It ranked GPT-6 SOL as number 1. But like I always say, use your eyes and decide. The leaderboard here doesn't really mean a whole lot. This is using an LLM as a judge to decide the ranking, so it's very subjective. I still think GPT-6 Astra looks a little bit better than GPT-6 SOL. But also interestingly, it put GPT-6 SOL Pro down here at number 3. So it actually ranked the non-pro version above the pro version. And when we compare them side by side, I I think I agree. The Soul version is actually better than the Soul Pro version. Soul used 30,301 tokens versus 148,000 tokens. Soul Pro took 8 minutes while Soul took 4 minutes. Soul took 30 cents and Soul Pro 92 cents. So the one on the right cost 92 cents to make. The one on the left cost 30 cents to make. But when you're using ChatGPT, if you're just using chat, it appears to be using 5.6 SOL, but if you switch it over to work, you can set it specifically to GPT-6 SOL or Luna now. But again, I said we got 3 new models. So we've got GPT-6 SOL, and we also got Claude Opus 5.5. And Claude Opus 5.5, I did go into quite a bit of detail about it in this video here. So check that out if you haven't already. But here's the TL;DR on that one. This is officially the new state-of-the-art model. This is pretty much the best model there is, kind of hands down at the moment. We do have OpenAI Dev Day next week, so who knows, the leaderboards could be shifting again in a few days. But as of today, Opus 5.5, we can see agentic coding here blows everything else out of the water. It doesn't list GPT-6 Soul, but trust me, it's beating that as well. When it comes to knowledge work, new state of the art. Humanity's Last Exam, new state of the art. Computer use, visual chart recognition, New state of the art. It also got a little bit cheaper than the previous version of Opus. So Opus 5 was $5 per million input, $25 per million output. It went down to $4 and $20 respectively. When it comes to coding, it's beating out GPT-6 Astra on both cost and score right now. So yeah, if you're looking for the absolute best state-of-the-art coding model at a decent price, this is it. This model is performing better than Claude Fable 5.1 on almost all the benchmarks. But it's over half the cost. From $10 down to $4, from $50 down to $20 to get even better performance. Once again, I ran my Megabonk test on it and well, it worked for almost 20 hours building, testing, building, testing, building, testing. And the result is pretty mind-blowing. This is the version it made and it is pretty close to the actual Megabonk game. Like, look at all these characters you can get. I'm gonna go ahead and mute the game, but these are all actual characters from the original game. So let's go ahead and select our fox here. We have to get to certain levels to unlock other games. There's multiple tiers, again, very similar to the real version of this game. Now when I get into it, my mouse controls my angle. So as I move my mouse around, it's changing my angle. The characters— look at these level up animations. Like, let's go ahead and add another weapon. If anything, I think I level up a little too quick, but you know, the game not perfectly balanced. The level-ups that we are seeing are pretty much the same level-ups that you get in the real game. And yeah, this is just absolutely mind-blowing to me how good this all looks. I'm gonna go ahead and unmute it for a second so you can actually hear it as well. Because the sound is pretty similar to the original game as well. Even the first boss in this game is similar to the actual real first boss in the other game. This is what 20 hours of Opus 5 running gets you. All right, I need to stop playing now because it's about as addicting as the original, if I'm being honest. Look at this, even the pause menu Looks excellent. Like, there is so much detail in what Opus 5.5 did. I am insanely impressed with what this does in terms of like games. Now, the other thing that seems to be blowing a lot of minds around Opus 5.5 is how good it is at animation. Like, here's some examples that I've come across. I'm gonna mute 'em, but most of these even have audio that Opus 5.5 helped generate. So here's an animation from Addie Osmani here, which explains how browsers work. And I mean, it's a really solid animation, like really, really impressive. Here's another one by Chubby here that actually explains how transformer models work. And all of this is actually being created with JavaScript. So this isn't it going and like actually generating an animation like something like Veo would do. It's not generating images like ChatGPT Image or Midjourney. It's using JavaScript to draw all of this out and then animate it. Here's one from Tech Artist. This like an architecture schematic animation that looks really cool. This one's from Alexei Fatih, and this one he had it take control of Blender and create a Large Hadron Collider animation. So this was Opus 5.5 taking control of Blender and generating this animation using Blender. So not JavaScript this time. And here's one more example from Chris Riley where another animation where it looks Tiles, or I'm not quite sure what it's supposed to be. I guess here's the prompt if you want to read the entire prompt. Looks like a 2-parter here. So there's the beginning of the prompt. Here's the rest of the prompt. You might need to pause twice if you want to see all of that. But again, really, really impressive doing animations. So I thought it would probably crush it on BuseyBench, but BuseyBench actually puts it all the way down here at number 8. Taking a peek at it, it cost $0.49, used 4 minutes and about 25,000 tokens to generate this version of Busey. Dang, these animations are so good. Check it out, that's another one from Drew. But as mentioned before, we got 3 new models this week, and the 3rd one that I haven't mentioned yet is from SpaceXAI. They released their Grok 4.7. Now compared to the models we just looked at, not quite as impressive. If we look at the average cost per task, Grok 4.7 falls over here. So kind of think of this side as the intelligence And this side as the price. So it is less expensive, but not quite getting the same results as these newer models. It's also not comparing it to GPT-6 Soul. It's not comparing it to Astra. It's not comparing it to Opus 5.5. So in all of these benchmark comparisons, it's kind of comparing to like last generation models, but it is cheaper. Of course, you know, I'm going to bonk bench it. And well, this is the version of Mega Bonk that it came up with. Our character is a cube. Our fox character is like a pill-shaped thing, and our clanker character is not openable yet. But let's go ahead and use Sir Oofy here and let's bonk. I mean, we can control the camera angles with our mouse, but we got, you know, squares shooting at little pill-shaped things. So, you know, again, not quite as impressive at game development and game design. So those were the 3 models we got this week. Let's compare them over on Artificial Analysis because that's where we could kind of see like an aggregated ranking. It's sort of takes a bunch of different benchmarks, mashes them all together, and then tries to pick the objectively smartest models based on all of that information. And if we come to artificial analysis here, we can see that Opus 5.5 Max is the smartest model pretty much hands down at the moment, beating out Fable 5.1 and GPT-6 Astra by pretty big margin, honestly. GPT-6 Sol falls down here at about 10 points below Opus 5.5, and then Grok 4.7 on xDrop high falls down here at 46. So that's where those 3 models we just looked at rank on artificial analysis. I also like to look at cost per task. And over here, Claude Fable 5.1 Max is still the most expensive, but Claude Opus 5.5 is, well, the second most expensive to run right now. So not a cheap model. Yes, it got a lot cheaper when it comes to cost per token or cost per million tokens. However, if we look at output tokens per cost, Opus 5.5 5.5 uses more output tokens than any other model. So they lowered that price on output tokens, but the model is so much more token inefficient, I guess, that you're using way more tokens. So it doesn't actually drop your cost per task by that much. On the other hand, when you're talking about GPT-6 Sol, which is still a pretty good model, our cost per task is way down here at $1.06 per task compared to almost $6 per task for Opus 5.5. And Grok 4.7, which you with our Megabonk test was definitely not up to par with GPT-6 SOL or Opus 5.5 from like a game coding standpoint, is all the way up here at $3.74 per task. Again, because yes, the cost per million tokens is less expensive, but it uses a lot of tokens. Also, I just realized I didn't show off the BUCI bench on Groq 4.7. Yeah, that's what we got. It did only take 1 minute, used 7,000 tokens, and cost Like less than 3 cents. But, uh, yeah, I mean, it's not even in like the top 20 on the leaderboard right now. So those were the 3 big models that launched this week. Opus 5.5, new state of the art, still not super cheap. GPT-6 Sol, almost state of the art, pretty damn good model, super cheap to use. And then Grok 4.7 is also there. But there was something else causing a lot of buzz this week. It was actually a model that came out last week, but it seemed like it really kind of had a lot of people talking this week. Week, and that's a model out of a company called Typesafe AI called Jev. Now, I'm not going to go super deep into Jev in this video because I feel like it's a pretty deep topic and I do want to cover it well. And I don't think I can cover it well in just a little teeny segment of this video. But essentially, when you think of large language models like the GPT models and the Claude models, those create new text. Even when you ask it to make decisions for you, it's still creating text and writing code that then goes and makes those decisions. Jev, on the other hand, just skips straight to the decision-making. So we can see right here, existing LLMs are optimized for human preference, write-ups and chat responses that human raters prefer. Now, Jev, this new model, is calibrated for decisions. The output from existing LLMs are, you know, strings and generated text. The outputs from Jev are structured values. So structured values basically means you're defining what it could potentially output. Output. And there's really 3 types of structured outputs. You can give it a choice, so you give it some options to choose from, a score, or a null, which is basically, you know, true or false. And instead of outputting a ton of text, it just outputs within these possibilities along with a confidence score of that output. And because it's not outputting just a ton of text, it's just making these decisions, it is insanely cheap to use. Input token At 4 cents per million tokens or $42 per billion tokens. Output tokens are free because they're just too cheap to meter. It's also insanely fast. So here's an example they show on their website with 27 different questions, one request each. On the left is TypeSafe AI, on the right GPT-5.6 Terra. And you can see after they finish typing this, the response is almost instant. While on the right we can see GPT-5.6 Terra still thinking about it. Now it's sort of streaming out its response. And that's really the big difference here. You can see this cost, I mean, fractions of a fraction of a penny and completed in 0.11 seconds, while this one cost a little more than a penny and completed in just shy of 9 seconds. You can also see the difference in output here. This outputted the text. This one outputted, you know, newels, choices, and scores along with the confidence score. Again, I'd like to do a deeper dive into this exact that tool, but here are some cool use cases others have shared with it. Here's a post from Malay here where he created a smart drag and drop, and you can see he's got a few different folders— work, travel, and receipts— and instead of dragging them one by one, he's able to select them all, drag them over, and he created an app that automatically filters them into the right folders. Jonathan Unikowski here created something where it looks at his email inbox and then instead of prioritizing by date, looks at how critical it believes it And sorts it by how critical the email appears to be. Dev Ed here uses it to moderate comments for him. So running Jev to see how fast it can remove negative comments from a chat, and it's just automatically moderating if it believes it's a negative comment. Steven Tay here made an app where you can plug in a destination URL and it detects whether or not it believes it's a malicious URL before you go to the link. It can also apparently play video games. Now, this isn't a model that's going to go and develop a video game for But because it can make decisions so fast, it can decide whether it should jump, walk forward, walk backwards, attack, do things like that. So it looks at the screen, decides what it needs to do, and then takes the action automatically. Again, not something that's going to build the game, but something that's actually capable of playing games based on each frame that it's looking at. And this is just scratching the surface of what this JEV can do. Again, we're going to play with it a little bit later. Now, unfortunately, if you do want to play with JEV yourself, Well, right now they have paused new signups because of the overwhelming demand, so you can't quite get into it. But if you do have access, you can literally go to Codex or Claude Code, tell it what you want Jev to do, and let it write the code to run Jev for you. Jev also has a playground that you can use, but again, you need to be able to get access, and right now access is currently closed off. Hopefully it opens up again soon. And also, I will be doing a deeper dive into Jev. So if I didn't explain it very well, I'll try to do better next time. All right, those are the biggest stories of the week. So let's jump into a rapid fire. Pew pew pew pew pew pew pew. So let's start with Made on YouTube. This is YouTube's annual event where they announce all of the new features and things they're going to be rolling out. I put this one in the rapid fire section because a lot of this is probably only going to be relevant to other YouTubers. There are some other things that do apply to people just watching YouTube, but again, it is a lot of updates for YouTubers as well. One of the things they're rolling out is custom feeds where you can essentially use AI and say, create me a custom feed of just AI news videos, create me a custom feed of just stuff about the Padres, or, you know, whatever you want. And it'll create a custom feed that goes across the top of YouTube. And then you can click on that custom feed anytime you want, and it's going to show just those videos. I think that's a very, very welcome change to YouTube. I'm excited for that one. There's gonna be Ask YouTube in search where instead of just typing keywords, you can ask questions and it's gonna try to find videos that help answer those questions. They're adding auto-dubbing to live streams. So while you're live, it can automatically dub your voice into other languages. So anybody from any other country can watch your live stream and understand what you're saying without needing to turn on closed captioning. If you use YouTube Music, there's some new features coming to that as well, including Ask Music, which is a conversational experience across podcasts and the catalog of 300 million songs, so you can customize your queue or dive deeper into artist lore. Now, if you're actually a YouTuber and you put videos on YouTube, you're getting some new features as well. They're adding features where you can use AI to help you create your thumbnails. They're adding new editing tools that also leverage AI and Gemini Omni. They're adding better likeness detection so other people can't like pretend to be you and make ads that seem like you made them. They're adding some new A/B testing features where you're gonna be able to A/B test different versions of your video. So if you need like different intros in a video, you'll be able to split test those. And they're also adding a feature where you can show different thumbnails to different audiences. So you have an audience of people that watch you like every week, you could show one thumbnail to them, and then you can have a completely different thumbnail that shows to people that have never seen your videos before. Those are some of the cool features that are coming. There's a lot more announced, but I will link it up in the description. I think those are probably the biggest ones that most people care about. But there was also a lot of, you know, smaller announcements as well. Microsoft is rolling out a new Copilot with Home, Code, and Autopilot. Those are like sort of 3 different modes you can switch it between. I have not had a chance to try this out because this was announced literally while I was recording this video. So this is fresh in the moment I'm recording this. But you can see they're sort of simplifying options like a quick response or think deeper. You can choose between GPT and Claude models. You've got chat and cowork, very similar to what OpenAI and Anthropic are doing. Chat mode, cowork mode. You can see they've got a code mode up here, which would be the equivalent of Claude Code or OpenAI's Codex. And then you've got an autopilot mode here, which would be sort of the equivalent of scheduled tasks and automations. But it can also take control of like all of the different Microsoft apps you use— Excel, Word, PowerPoint, things like that. And then the automation mode does things that you want it to keep on doing over and over again. Their example in this video is stay ahead of supplier delays. And it looks at Excel spreadsheets and things like that to stay ahead of it for you. Again, this is super fresh. I have not actually tested any of this out yet, but it seems to be something where they're trying to unify what ChatGPT and like Claude, Cowork do, where you have a chat, a code, and an automation sort of section, but then tie it in with the other Microsoft suite of tools like Excel, PowerPoint, Word, etc. Google rolled out Gemini 3.8 Live with a live avatar. It basically pairs real-time video generation with your speech.

Meet Gemini Live Avatar, bringing real-time visual presence to Gemini's conversational AI. Watch the interactive demos below to see how native voice dialogue and instant video generation power expressive face-to-face experiences across various use cases.

We also got a Gemini 3.8 text-to-speech.

More like Introducing da da da da text-to-speech. Transform simple prompts into consistent expressive voice outputs on demand.

Okay, now let's add in another voice for this dialogue scene in the script.

Or choose from over a thousand ready-to-go voices.

Okay, but what if we had that voice a little bit deeper? And change it however you want. Okay, perfect.

I think we get the idea, but this is something that is available right now inside of Google AI Studio. Google also integrated on. Omni inside of their Google Vids platform. Google Vids was more for making like PowerPoint presentation style videos as opposed to like actual animated videos or realistic looking videos. But now that you can use Omni inside of it, you can get more like dynamic animations. And it also provides a free way to use Omni if you use it through Vids here. Spotify also rolled out a new feature this week with their taste profile. So basically you can click on this button called taste profile. It'll tell you what it thinks your tastes are already. But then you can sort of explain what you want it to change, and it will use AI to help you dial in your taste profile a little bit. And finally, there's been a lot of talk about moving compute up into space. Well, this week Google is taking steps to do that. This is called Project Suncatcher, and Google is actually trying to put their tensor processing units, TPUs, up into space. So they're gonna use SpaceX to test and figure out if their hardware can operate in space. Right now, there's still a lot of questions about like how to dissipate the heat and things like that. And well, the best way to figure it out according to them is let's just start putting stuff up into space and see what happens. They need to figure out if the hardware can survive the actual launch process. They need to figure out if it could stay cool in space. They need to figure out how to connect the various satellites to each other. That's what this Project Suncatcher is. And pretty soon we're gonna get some answers to some of these These questions, it sounds like, which is pretty exciting. All right, that's what I got for you this week. I know, once again, really, really busy week. I normally record these on Thursdays and then publish them on Fridays. This week I'm recording on Friday and publishing on Friday, but I might have missed some news while in the process of recording, and if I did, it'll be in next week's video. But every week I spend all week drinking from the fire hose, reading all the news, watching all the keynotes, going to the events, talking to the people building this stuff, and just trying to make sure stay fully looped in and tapped in on what's going on in the world of AI and sort of future technology so that I can make these videos for you on Friday. And you don't have to feel overwhelmed. You could just watch one video, feel totally looped in for the week, and I'm going to keep on doing that. So if you like this kind of video, well, press that like button and consider subscribing to this channel, and I'll make sure more videos like it show up in your YouTube feed. Again, next week is OpenAI Dev Day, so I will be doing even more travel next week, going up to San Francisco for that. We can expect some big announcements. I have some ideas But not allowed to talk about them yet. But there should be a lot of cool stuff coming next week as well. So again, make sure you're subscribed so you get those videos when they come out talking about everything that was announced during next week's festivities. But again, that's what I got for you today. Thank you so much for hanging out with me and nerding out with me. Sorry, this video is a little bit later in the day than I normally publish them. That's what happens when I'm doing a lot of travel. Unfortunately, some of these videos get pushed out. But I appreciate you for watching this and hanging out with me and letting me nerd out about all the cool stuff I came across this week. Again, I really, really appreciate you, and hopefully I see you in the next one. Bye-bye.