What if you could make a billion people smarter? Yeah, it's kind of what OpenAI just did. Uh, there's usually never been a free AI plan where I actually think it was good enough or reliable enough for everyday business use, but OpenAI just announced that as they quietly kind of announced that free users, so users on the free plan, get unlimited use of GPT 5.6 Luna, a really good and capable model. So previously, free Chat GPT users were usually served a combination of GPT 5.5 and GPT 5.4, depending on the thinking level they chose. Actually, free and low price AI really had a week in the limelight. So between that announcement from OpenAI, there was also a new open weight powerhouse model from Alibaba and a new model from Meta that's basically free if you let them train on your data. So you probably missed some of it. That's because between all the big model releases, there's actually dozens of smaller feature updates each week that can move the needle for your business. And if you miss one or two, it's no big deal. But if you really don't pay attention to the movements that happen between the big splashes, you'll miss out completely. And that's why on Fridays, we bring you the Friday features, our weekly update of the latest AI updates that you can actually use today. These aren't news or leaks or coming soons. These are just new AI features you can use this Friday. So let's get into it. So on today's show, here's what you're gonna learn. You're gonna learn how you can get essentially free frontier coding, or at least for free 99. If you let a certain company named Meta train on your data, you're gonna know what new open source standard there is for better agent orchestration and how basically all the big players in the game got in on it, except for one. And you're gonna know the new updates that give free Chat GPT users the best deal in AI right now. Let's jump into it. Welcome to Everyday AI. My name's Jordan Molson, and we do this every day. This is your daily live stream, podcast, and free daily newsletter, helping business leaders like you and me keep up with these AI updates because they quite literally don't stop. I tell you what's good, what's not, how to use it to grow your company and your career. So if that's exactly what you're trying to do, do me a favor, stranger, click that subscribe button on Apple Podcasts or Spotify, wherever you're listening. Uh, and then make sure you go to our website at your everydayai.com. It's in the show notes. So make sure you go check that out and sign up for our free daily newsletter. We're gonna be recapping the highlights from today's show. So if you miss anything, don't worry, it's in there as well as all the other AI updates you need to know to get ahead. All right, let's get into it and look live. All right, so yeah, if you are watching uh or sorry, if you're listening to this, there's always a video version, not too much that you need to see uh today, if I'm being honest. But um you can always check that out on our website at your everydayai.com. All right, here we go. Eventually, come on, screen. There we go. Yeah, it's unedited, folks. All right, our first big AI update. If you're creative, you're gonna like this one. That's because Adobe just launched a big update to its unified plugin in Chat GPT. Now it can access more than 70 tools from Photoshop, Firefly, Acrobat, Express, Premiere, Lightroom, Illustrator, InDesign, and Stock. So essentially, how does this work? Well, you describe what you want it to do, and it picks the right Adobe tools automatically. So you can edit photo sets, make campaign videos, uh, customize different design templates, turn spreadsheets into PDFs. So it kind of replaces the separate Adobe apps that were available in ChatGPT before. So now it's just one unified app where you don't even have to like know, oh, should I be using you know Acrobat for this? Should I be using uh, you know, Lightroom, Photoshop? It doesn't matter. So you just open Chat GPT. Uh, if you do have that Adobe Creative Crowd, uh Creative Cloud subscription, and you just dump in a bunch of files and say, do all this stuff to them, and it does it. Uh, so Adobe is running this play on every chat bot, not just Chat GPT. Uh, its tools are already on Claude and Copilot, but I believe this is the first um in terms of these types of features. This is the first one uh we've seen that's this robust. So who has access? Well, anyone, if you are on Chat GPT, you got it. And there's also four um mini uh features that are in included in this announcement. You don't need a plan uh to use them. So yeah, even right now, you don't need an Adobe account to start. Even just using guest mode does give you a broad set of tools immediately, not everything, because signing in with your Adobe account does unlock uh some of the more generative, uh, you know, heavy AI features, uh, and then being able to sync everything in your creative cloud. So it also does work inside of ChatGPT work in codecs so it's not just on the uh ChatGPT.com release. So who's this useful? Well, anyone. If you're trying to do something creative, if you are a creative, if you're not creative, but you want to be creative, this is a great way to do it. So obviously, open AI and ChatGPT has a fantastic, literally state of the art um kind of their uh GPT images too, which is really, really good, but it can do everything that you might want it to. Um, right. So in those cases, now you have this tool from uh Adobe. All right, so that's a good one. But here's uh maybe even a better one, maybe for a lot of our audience, because meta, another pretty big splash here. And there's actually a plan here that I wasn't expecting from meta, and I don't hate it as one that I'm just like, hey company, take my data. I don't hate this new pricing from Meta Muse, Spark, and their new Muse Code and Spark 1.2. So here's what's new Meta released Muse Code, which is their kind of take on Claude Code or Codec. So that's a terminal coding agent right now, uh, powered by its new Muse Spark 1.2 model. So, yeah, two different things. Uh, it is Muse Code, so that's a terminal coding agent, right? So, not like the desktop version of Cloud Code or Codecs, like the CLI version of Cloud Code or Codex, and then uh the next one is the new model, uh Muse Spark 1.2. So the pricing here, even if you're paying the full API pricing, pretty good rates in terms of performance. It's a dollar 25 per million tokens in and four dollars and 25 cents per million tokens out. But there is a new what they're calling contributor tier, it's an interesting name for it. Um, that drops that price down to 10 cents in and 20 cents out if you let Meta train on your data. So that's roughly 95% off in exchange for essentially your code, right? So um at first I'm like, absolutely no one's gonna do this, but then I'm like, yeah, like I don't know, especially if you're starting from scratch, uh, right? Let's just say that you have a personal project, or you know, if you're an indie hacker, indie developer, I'm like, that's actually not a terrible idea, right? Obviously, if you're working with large proprietary anything enterprise, no one would ever touch that contributor tier. But I'm like, for everyone else, that it's more of a hobbyist, it's actually, I think, not that bad of a deal. So um, every model call, tool run, approval, and edit uh does get written to a local event log. So if the agent crashes, it can resume where it stopped. So who has access to this? Well, it's open now in beta. You can literally just go run a terminal command and you're off and running. Uh so the new model though, meta spark uh sorry, Muse Spark 1.2, is available inside Muse Code and to any developer through the meta uh meta model API, and it does have a 1 million token context window. So uh why is this useful? Well, aside from writing code, if you need persistent background sub agents that can work on hard tasks on their own and decide when to report back, uh it's pretty good for that. Uh, you know, the scores so far um for what's available on artificial analysis as an example, pretty good, right? You know, all of a sudden, meta went from not very relevant for like a full year and a half to now all of a sudden they're in the conversation, right? They're again Google might change this, you know, any any minute now, right? Watch Google. There's been uh rumors that we're getting something, you know, maybe this week or August 10th, uh, either Gemini 3.5 Pro or if they skip straight to Gemini 4 Pro, who knows? But Meta is actually ahead of Google, right? Not just in terms of model capabilities, but on pricing as well. So Meta has had a very impressive uh last month or two. So I think if you're you know a dev working on a large uh repo, if you want long running agents, like I said, or if you're an indie dev or a cost-sensitive team and you're not necessarily working on you know proprietary data, uh that contributor tier would just still a funny name for it. Not bad, right? Uh, we'll see if Muse code uh goes for very long, right? Um, I don't know, maybe this is the non-developer in me speaking. I've always been able to do the basics in a terminal, but I feel even the people that have been hardcore, like, hey, I'm a terminal coder, you know, in in terms of being a software engineer or dev, I've seen even some of the people that, you know, a year ago were like, I'm never giving up the terminal to being like the terminal just doesn't make sense anymore. So I don't know. We'll see. I mean, you have to start somewhere with uh, you know, in terms of having a coding agent, but regardless, meta's showing where they're gonna play, they're gonna try to compete with anthropic in Google on token pricing. I don't think that's necessarily OpenAI's game. Uh, that is where uh Anthropic reportedly gets about 80% of its revenue. So this to me looks like a shot at Anthropic, um, you know, bringing the actual coding agent with views code, uh, extremely cheap and affordable. And the performance is there. All right. Our next piece of AI news. Speaking of, well, very affordable uh models. Well, we have a new uh not quite king of the open hill. It's kind of uh actually let me check that because I know artificial analysis just put out a new version um of their four point, what is it, four point one one now? So I'm I'm double checking why to see uh okay, yeah. So they are just a little bit behind Kimi K3, uh, but essentially uh it is in the same tier. So Alibaba's new uh open weights Quinn 3.8 Max. Um, it is in the same tier. So it is in that uh, you know, GPT 5.6, uh Claude Fable 5, Claude Opus 5, Kimmy K3, and Quen 3.8. That's kind of your top five models in the world now. You know, we have two open weights models from China uh in spots four and five. So here is what it is it is Quen 3.8 Max, a 2.4 trillion parameter open weight model with a million token context window. It takes text, images, and video. Um, so here's the um interesting thing. So it did become uh the top-ranked Chinese model for text only. All right, so for text only, it takes that. And here's the thing, though, there was a report literally hours ago uh from Reuters that said Alibaba plans to begin charging major enterprise users for Quen 3.8 Max to charge them a share of their revenue they generate starting next week. So that one's interesting. So who has access right now? Uh well, anyone. So if you're working on the hosted API or through Alibaba Cloud Model Studio, uh so yeah, if you are in Alibaba Cloud Accounts, you can use it right now. Uh and the API is OpenAI compatible. So switching is a base URL and model uh ID change. So it's open weights, although the weights are not out yet, uh, but they did promise them within days of the release. That's essentially what Kimmy did as well. Um, and they kind of hit their target deadline for releasing the weights. But when the weights land, obviously you can't like self-host this. Um, right. And again, unless you happen to have a data center, uh, you know, a bunch of GPUs that you just weren't using in your basement, you aren't gonna use this, right? It's kind of this um uh you know, I don't know, fortunate, unfortunate uh current dichotomy of open weight open source software, right? I think a year ago, the best open models you could, you know, download. If you had a big expensive Mac, you could do it. You can't anymore. Uh, right, these multiple trillion parameter uh you know open weight models, they're not really for running locally anymore unless you literally have a data center. So, well, why is this useful? Well, it's frontier level capability with open weights. Um, so yeah, if for bigger companies, you can, you know, fine-tune these models, or if you're working with a provider, you can fine-tune them. So, unlike proprietary models, uh, where it's not always as easy to do something like that. Um, so uh also interesting to note, it did debut number four on the front-end code arena. Uh, so you know, apparently it has some pretty good front-end uh taste to it as well. So, who's gonna find this valuable? I think really just large enterprises. That's it. So if you're hedging against, you know, US lab pricing and lock-in, uh, or just you know, people who are already self-hosting large models, researchers, uh, they are coming out with a 27B version. Uh, you know, so if you do have uh, you know, a couple heavy Mac studios beefed together, you can run it like super slow or something like that. Uh actually 27B, yeah, you should be able to run it on like the most expensive DGXs. Um, but yeah, again, nice open model, uh, open weight model. So if nothing else, uh it's pushing the other open models, which are pushing proprietary models, which are push pushing prices down, right? That's ultimately what's happening here. Uh, because the people who can afford uh to run something like a Quen uh Quen 3.8 Max by running it locally are those, you know, Fortune 500 types that prep that may have access to compute. So that is the people who are generally, you know, using anthropics models would probably be their first customer, OpenAI, Google maybe as well. So, you know, that's also going to push uh in theory, you know, either push down the prices from the major frontier labs or at least keep them in check. So even if you're like, okay, this model isn't gonna impact me or my business, we can't run it. Well, you can, right? There's always you know providers that you can use. Um, but if anything else, keep models in check. All right, let's go next. Uh, next, we already covered this one in depth on our Wednesday AI Working Wednesday show. That's episode 834. But a ton new with Gemini Notebook. Yes, the tool formerly known as Notebook LM finally got its big glow up that rolled out to all paid users. So this is technically an older update, but we didn't cover it on the show previously. Well, aside from Wednesday, uh, when it was, you know, I think it was just released on Tuesday. We didn't really cover it before because it was only available to ultra subscribers. So just so you know, on these Friday shows, these are just you know tools or updates that are available to your standard, you know, $20 base plans. But now we have that Gemini Agenc notebook that is out. So yeah, has a new name. Notebook LM is gone, Gemini Notebook is here, and Gemini Notebook, at least for paid users, is agentic by default. So Google finished rolling out the agentic version of Gemini Notebook, the upgrade to pro subscribers. So every notebook now gets a secure cloud computer that writes and runs real code against your sources, plus auto-generated charts, spreadsheets, slide decks, and PDFs. So it runs on Gemini 3.5, but it also uses the anti-gravity harness and it has a hundred built-in skills. So think of like code interpreter grounded in your documents. Uh, you can also just, you know, start a blank notebook, give it a vague query, and it can also now use the web, although it will confirm with you, right? Because that's the good thing about, you know, previously Notebook LM is it stayed completely grounded in your source data. So now uh Gemini Notebook can query the web, uh, which is a little bit different for me, right? But it will at least let you know hey, you know, if you're asking about something that's not in your source material, it will tell you I don't have the answer. Do you want me to go search the web? Uh so uh who has access? Anyone with a uh Gemini Pro account? Uh, you've got it now. Uh so this is on the web version only. If you're an ultra subscriber, you already have this. Uh free users, you're still gonna see Gemini Notebook, right? Uh, but you're not gonna have these new agenc the code execution or some of these new output formats. So that's the other thing that's new. Uh in Gemini Notebook, you can output as a PDF, uh, a doc, um, you know, different PNGs, uh, right. So essentially before you were a little more limited in what you could actually output. Uh, there was, you know, I think about eight different sources on the right hand side in the studio panel. Now you can just say, you know, output in these different sources. So I actually did what I thought was a pretty good rundown on Wednesday. So if you do want to check that out, make sure you go do that. Episode 834. Who's gonna find this valuable? Literally anyone, right? Um, if you're you know a heavy uh chat GPT work, codex, claud code, uh user, right? As an example, these new agentic features are pretty good, right? Um, I'm really looking forward to when um you know Google does introduce whether it's Gemini 3.5 or Gemini 4 Pro, whichever one, and then seeing those roll out to Notebook LM, I'll be really excited for because they're technically running the Gemini 3. But the Gemini 3.5 flash model is not that great. Um, so yeah, it's got like a 30. What is it? Mid no, that's Gemini 3.6 flash. Come on, come on. Where's where's my Gemini 3 flash? Uh let's see, let's see where we have it. It is okay, a 52 on the artificial analysis. Uh, so not that good. So it is below, um, or no, sorry, it is at the same level as uh GPT-5.6 Luna. So okay, from that respect, it's okay-ish, right? So if you think that open AI has three tiers, um, you know, they have uh Seoul, Terra, and Luna. Right now, Google's best tier is the lowest tier for um OpenAI's Chat GPT. So take that for uh you know what it's worth. So not the best model in the world um that's powering it, especially when you're a paid user, right? We're gonna talk about the free uh kind of upgrade for uh uh GBT56 Luna, which I think is great for free users, right? But for being a paid user right now, it's kind of not a great time uh to be a you know Gemini first company, but I will expect Google any day, any minute, any week now to come out with a good 3.5 pro or Gemini 4 Pro. And I hope it gets rolled out to Gemini Notebook. All right, next we have a new open standard for agent plugins, and this is pretty cool. So here's what's new, and yes, it's available now. There's a new open vendor neutral standard for packaging AI agent extensions. So now it's a one plugin, uh folder with a plug-in JSON file bundling and agent skill and mcp servers. And right now it works across ChatGPT, uh, codecs, cursor, Google, GitHub, Copilot, uh, VS Code, and others. So essentially, you can build an agent plugin once and run it anywhere. So this is a little confusing, but let me just break it down. Uh, and hopefully this is like 99% correct because I haven't actually gone out and built this because it's only an hour like in a couple hours old. Um, so previously think you have skills, right? And skills are essentially just a bunch of text files in a folder, uh, right. And then you also have things like plugins, and plugins are you know multiple skills or a skill in an app together, um, right? And then you have like JSON files. Um, so it's kind of like the new agent plugins. Um, you know, and then you know, you have your skills are in markdown files, right? It's essentially pulling all of these things together, but in an open standard, right? So that's great because you had the skills MD. Uh you know, skills are pretty universal, um, right, because they are just text files, they're markdown files. Um, so those are pretty universal. Uh, also inside the uh agent plugins, sorry, I forgot to mention this, it's MCPs as well. So it's essentially stacking, you know, your skills, your MCP servers, um, you, you know, your JSON files, uh, you know, all in one package. So this is nice uh because before you would have to load all of these things in individually, uh, which takes a lot of time. And when you you know it's Slightly different across different providers. You don't always have that from a business strategy perspective. You get a little locked in at times, which you don't want. So this is why it was great to see almost every single big name instantly support the Asian plugins, right? Anthropic, obviously not on the list. I don't know why Anthropic just won't get on board with this. Um, you know, obviously they have their Claude.md, right? But it's like, okay, Anthropic, just change it to Agent MD, like literally every other company, right? Google, Microsoft, Cursor, OpenAI, everyone else is doing this. Anthropic, get on board. It's just making uh it's I think it's slowing the pace of AI down. Uh, I think it's a maybe a bad look on anthropic. Like, are you just trying to lock people in, right? Maybe I don't know, maybe they are, maybe that's part of their business strategy. But for me, right, I love uh kind of having this open, uh, you know, new agent plug-in standard because it does make it easier for businesses. Uh, the like the other thing, too, is um, yes, in most cases, I think it's best for companies to kind of pick one AI kind of operating system and stick there. But you know, you might maybe your finance team needs a different one, right? Maybe 90% of your company can be on uh you know Chat GPT work, but maybe 10% of your company needs to be on Gemini for whatever reason, right? And in this case, when you have these ancient plugins, it's very easy uh to have that standard and to be able to transfer that over. But you know, if anthropic doesn't get on board, it's not gonna be as easy for them, anyways. So openAI announced this, but it's not open AI's. So Vercell initiated it, uh, as well as uh Amazon, any sphere, which is cursor, GitHub Copilot, Microsoft, uh, etc. So um who has access right now? Well, anyone. So you can just build this, right? You can just point your coding agent to this uh the website. The website is just agent-plugins.org, right? All of the documentation is there. So this is just an easy way, especially if your team is becoming more agentic in your work, right? You have multiple MCP files, you have multiple skills, you have JSON files holding it all together. It's just an easier way to port this across server to server. All right, or I'm sorry, service to service. All right, next one. Speaking of being open, right? It's a big week for open and free. Uh, this one was not expecting this. Cloudflare announced their open source Cloudflare OS. Uh, it's an internal AI workspace that it built to actually run its own company. So they essentially said, we build this to run our company, so everyone else can have it as well. So uh essentially, every employee gets a browser-based HHID workspace with governed access to internal systems, research documents tied to live data, automated workflows, and shareable internal apps with well, no developers really need it. Uh, so thousands of Cloudflare's own employees across every team already use it daily, according to the company. So seems pretty battle-tested, not just like some demo software. So it competes technically, right, with Chad GPT Work or Cloud Co-Work or Gemini Enterprise, but it's free, open source, and runs in your own Cloudflare account instead of the kind of per seat SaaS. So uh who has access right now? Well, it's open source, so anyone. So you can go download the repo. Uh, you do obviously need a Cloudflare account to run it because it deploys into your own account uh using your own access policies and integrations. Uh, but your IT team, uh, essentially, yeah, they'll probably need to help you a little bit. Uh, but there is also a managed version through Cloudflare plus implementation partners uh that um are coming, but no date is given yet. So uh why is this useful? Well, you can just essentially bring your own model um and have an open source agentic platform to work on. So, yes, uh, this isn't free uh to use, it's just a free operating system. Think of it that way, but you still have to bring your apps, aka, you still have to bring your own model through the Cloudflare AI model gateway. Um, so but there's you know, you can do spend caps and you're not locked in. So think of it more like that. Think of it, you know, and there are other versions of this, right? Uh, there are versions of open, you know, open versions of um, you know, desktop agents, right? But this is from Cloudflare, one of the literally biggest names uh in the internet ever. Uh, so a very trusted source. So uh, you know, a lot of companies run their uh you know web operations through Cloudflare. So trusted, trusted name. Uh love this because it is giving people more options. Again, I think more options, uh, more modularity in being able to build, uh, the better for people involved. Although for me, I'm still gonna stick to my codex uh because it's just part of my everyday workflow. All right. Uh next, yes, this mod this model has been going absolutely viral. It is Minimax H3. So this is a new video model. Uh, and they did Minimax did just release the weights for H3, and it became the first open model to ever top a major AI video ranking, as it's number one in video editing on artificial analysis, and number two in text to video. So, artificial analysis called it the strongest open weights model by far. That's why this thing has been blowing up online. If you've seen any like really good AI video uh over the last like couple of days, like on Twitter or whatever, it's probably minimax, especially. And the reason why you're probably seeing it is because obviously, with this being uh in open weights Chinese model, there's like no copyright restrictions. I don't know why it's been like, at least on my feed, it's been like these 15-second Seinfeld clips, you know, of people talking about AI, or you know, 15-second clips from the office of people talking about AI, and they're obviously really good, right? Because it's just you know, ripping the copyright. It's you know, uh Michael Scott's face and Michael Scott's voice, but talking about you know, agentic swarms or something like that. So uh here's a little bit more about the model. So the model reads text, images, video, and audio as one context, and it outputs four to 15 second clips at up to 2k with native stereo audio. So that's if you're using their hosted service, but if you are uh using the uh actual um uh you know downloadable version, the the quantized version, you're not gonna be able to run the 2K uh resolution. It is gonna be a standard uh standard definition and it's gonna take a while, right? So let's just say you have like a you know 16 or 32 gigabyte MacBook. Let's just say that. Yeah, it's gonna take you maybe 20 or 30 minutes or longer um to make a 15-second clip. But the thing is, well, it's an option, right? Now we literally have models that are the state of the art, right? So, you know, number one, number two, and the two big categories, and you can download them and use them for free, right? So absolutely wild world where we're litting living in, and for the most part, you cannot tell that they're um AI videos, right? Uh like obviously you can't, because you know, if Jerry Seinfeld is losing his mind um over an agentic swarm, obviously, right? But I mean, everything else about it, it looks real, it sounds right. Jerry Seinfeld's voice, how he does his voice, he throws it all over the place. It gets it right, it nails it, right? Obviously, every once in a while you're gonna get some some bad generations, but the stuff I've seen online, I'm like, this is fairly impressive, but also to me, it's extremely scary because you know what takes like 15 seconds, yeah, like campaign videos, right? This is gonna absolutely wreck the upcoming US election because here's the thing, it's out in the wild, so it's not like any amount of uh you know new US policy is gonna stop this thing. So, yeah, I can see this thing causing a ton, a ton of trouble in a couple of months uh with the elections coming up. So, who has access? So, yeah, the hosted version, anyone anywhere, right, through the Minimax API. So, yeah, you don't need the fat you know $10,000 computer to you know eke out a 15-second video for that one. Uh, so you're paying the API prices, but the downloadable weights are on Hugging Face, but the license excludes right now uh the US, EU, UK, and South Korea from running it locally. So if you're in those regions, it says they're API only. It seems like most people are skirting around those um uh restrictions somehow. All right. Uh so why is it useful? Well, it's one model that can replace a lot. So it does text to video, image to video, first last frame, subject reference, motion reference. So it is much more than just a video generator. There's a lot that's going on under the hood. All right, last but not least, there is a new version of GPT 5.6 soul. So yes, open AI made a uh pretty notable update to its flagship model. Here's what's new. Uh, well, the big one is OpenAI made the free Chat GPT, the best of free AI has literally ever been, because now you have unlimited generations, even if you do not have a paid plan uh on GPT 5.6 Luna. So again, uh kind of the tiers, GPT 5.6 soul is the best, GPT 5.6 Terra is in the middle, and then you have GPT 5.6 Luna, still a very good capable model. Actually, GPT 5.6 Luna is pretty much on par uh with um Claude Sonnet 5. So just if you need a comparison. So uh for paid users, OpenAI merged the instant and thinking models into one. Uh so now you have a slider that controls how much reasoning it puts into each answer. So if you're on chatgbt.com, uh it's gonna seem a lot more familiar if you were using the desktop version. So, along with this, open AI claims 68% fewer responses containing factual errors versus GPT 5.6 instant on areas such as financial, medical, and legal prompts. So Zol just dropped its new. So who has access? Well, literally one billion users, yes. So uh one billion people have better models altogether. So this is not only free plans getting unlimited GPT 5.6 Luna, which I still don't understand how that's possible, right? How is it possible that, like, okay, let's just say anthropic, right? Let's just say for whatever reason, obviously they the you know, opus five um and fable five are like you know, one A, one B or one B, one C, depending on how you look at it, with GPT 5.6 soul. But after that, right, it's it's GPT 5, uh GPT or sorry, sonnet five, right? On Sonnet 5, you on a paid plan, right, in your five-hour window, you might get 10 to 20 prompts, right? On a paid plan. So now on a free plan on Chat GPT, you get unlimited. So this again, I like I know I sound like a broken record, and you know, there's plenty of stories uh, you know, um chronicling this online. It's just been a bad couple of weeks for anthropic, right? Between all these new open models coming out, Deep Seek comes out uh essentially cheap, like free, right? Uh OpenAI, we talked about this last week. They essentially made their GVD 5.6 Luna essentially free. Uh so yeah, it hasn't been a good couple of weeks for Anthropic. So uh we'll see where their number lands. They're expected to go public maybe in like as soon as two months. So that one uh should be interesting to see. So uh who's gonna find it valuable? Why is this useful from open AI? Well, uh a couple things. Well, there's no more having to choose between instant and thinking uh for paid users, it's just one model with a dial. And then obviously the unlimited free chat absolutely bonkers, right? This is, I think, open AI uh starting to in uh inch closer to you know being able to provide this level of intelligence to you know everyone in the world, which it seems like you know, that's what their goal is, you know, bringing AGI to the to the masses, right? Um, I still cannot get over. Like when I read that, when I saw this announcement, I'm like, this can't be right. Like, I'm like un unlimited GBD 5.6 because usually free users, right? Because it's all about compute, you know, usually free users are one tier below, right? Which is how it was, you know, yesterday, right? Uh you know, free users were on GBD 5.5, and that's how it's usually been, because free users make up the majority of that billion users. So um open AI had in in terms of post-training and inference, they've cracked something, right? I had kind of my uh recursive self-improvement show. It's like, yeah, we we no one has full RSI, but it seems like open AI's got something figured out. The fact that they lowered the price of GPD 5.6 Luna by 80%, and now they are giving a uh frontier level model uh away to a billion people unlimited, unlimited for free. Doesn't make sense. All right, anyways, I'll stop losing my marbles and let you get to go using all of these new AI features. I hope this was helpful. If so, let me know. Subscribe to the podcast on Apple and Spotify, then go to your everydayai.com. Thanks for tuning in. I'll see you Monday and next week for more everyday AI. Thanks, y'all.