Everyday AI Podcast – An AI and ChatGPT Podcast - Ep 836: Updated GPT-5.6, A new Cheap Meta Model, Qwen 3.8 released and impressive and 7 more AI updates you can use today

Starting point is 00:00:00 This is the Everyday AI Show, the Everyday Podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. What if you could make a billion people smarter? Yeah, it's kind of what Open AI just did. 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 Open AI 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 ChadGBT users were usually served a combination of GPT 5.5 and GPD 5.4, depending on the thinking level they chose. Actually, free and low price AI really had a week in the limelight.

Starting point is 00:00:59 So between that announcement from Open AI, there was also a new openweight 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.

Starting point is 00:01:39 These aren't news or leaks or coming soon. 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 going to learn. You're going to 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 going to know what new open source standard there is for better agent orchestration and how basically all the big

Starting point is 00:02:07 players in the game got in on it except for one. And you're going to know the new updates that give free chat chadjpd users the best deal in AI right now. Let's jump into it. Welcome to Everyday AI. My name's Jordan Moulson 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

Starting point is 00:02:29 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. And then make sure you go to our website at your everyday AI.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 going to 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.

Starting point is 00:03:04 All right. So, yeah, if you are watching or sorry, if you're listening to this, there's always a video version, not too much that you need to see today, if I'm being honest. But you can always check that out on our website at your everyday AI.com. All right, here we go. Eventually. Come on screen. There we go.

Starting point is 00:03:24 Yeah, it's unedited folks. All right, our first big AI update. If you're creative, you're going to like this one. That's because Adobe just launched a big update to its unified plugin in ChadGBT. 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.

Starting point is 00:03:53 So you can edit photosets, make campaign videos, customize different design templates, turn spreadsheets into PDFs. So it kind of replaces the separate Adobe apps that were available in ChadGBT before. So now it's just one unified app where you don't even have to like, no, oh, should I be using, you know, acrobat for this?

Starting point is 00:04:14 Should I be using, you know, Lightroom, Photoshop? It doesn't matter. So you just open ChatGBT. If you do have that Adobe Creative Crowd, creative cloud subscription and you just dump in a bunch of files and say, do all this stuff to them and it does it. So Adobe is running this play on every chatbot, not just chat. GBT, its tools are already on Claude and co-pilot.

Starting point is 00:04:37 But I believe this is the first in terms of these types of features. This is the first one we've seen that's this robust. So who has access? Well, anyone. If you are on chat chbtee, you got it. And there's also for many features that are in. included in this announcement, you don't need a plan to use them. So yeah, even right now, you don't need an Adobe account to start.

Starting point is 00:05:02 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 some of the more generative, you know, heavy AI features and then being able to sync everything in your creative cloud. So it also does work inside of Chad GPT work in codex. So it's not just on the chatGPt.com. release. So who's this useful? Well, anyone. If you're trying to do something creative, if you are 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 Chad GPD has a fantastic, literally state of the art, um, kind of their, uh,

Starting point is 00:05:41 GPD 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 a 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 for 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 ClaudeCode or codex. So that's a terminal coding agent right now, powered by its new Muse Spark 1.2 model. So yeah, two different things. It is Muse code. So that's a terminal coding agent, right?

Starting point is 00:06:37 So not like the desktop version of Claudecode or Codex, like the CLI version of ClaudeCode or Codex. And then the next one is the new model, 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 $1.25 per million tokens in and $4.25 per million tokens out. But there is a new what they're calling contributor tier. It's an interesting name for it 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.

Starting point is 00:07:25 So at first, I'm like, absolutely no one's going to do this. But then I'm like, yeah, like, I don't know, especially if you're starting from scratch, right, let's just say that you have a personal project or, you know, if you're an indie hacker, any 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.

Starting point is 00:07:58 So every model call tool run approval and edit does get written to a local event log. So if the agent crashes, it can resume where it's 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. So the new model, though, MetaSpart. sorry, Muse Spark 1.2 is available inside Muse code and to any developer through the meta, meta model API.

Starting point is 00:08:28 And it does have a 1 million token context window. So why is this useful? Well, aside from writing code, if you need persistent background subagents that can work on hard tasks on their own and decide when to report back, it's pretty good for that. You know, the scores so far 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?

Starting point is 00:09:01 There, again, Google might change this, you know, any minute now, right? Watch Google. There's been rumors that we're getting something, you know, maybe this week or August 10th, 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 last month or two. So I think if you're, you know, a dev working on a large repo, if you want long running agents,

Starting point is 00:09:36 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, that contributor tier, which is still a funny name for it. Not bad, right? We'll see if Muse code goes for very long, right? 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,

Starting point is 00:10:01 but I feel even the people that have been hardcore, like, hey, I'm a terminal coder, you know, in terms of being a software engineer or deaf, 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, you know, in terms of having a coding agent, but regardless, meta's showing where they're going to play. They're going to try to compete with Anthropic in Google on token pricing. I don't think that's necessarily open AIs game. That is where Anthropic reportedly gets about 80% of its revenue. So this to me looks like a shot at Anthropic, you know, bringing the actual coding agent with Muse Code, extremely cheap and affordable. And, you know, the performance is there.

Starting point is 00:10:49 All right. Our next piece of AI news, speaking of, well, very affordable models, well, we have a new, not quite king of the open hill. It's kind of, actually, let me check that because I know artificial analysis just put out a new version of their 4.1. What is it? 4.1 now. So I'm double checking live to see.

Starting point is 00:11:12 Okay, yeah. So they are just a little bit behind Kimmy K3. But essentially, it is in the same tier. So Alibaba's new open weight, Quinn 3.8 max, it is in the same tier. So it is in that, you know, GPD 5, 5, Claude Fabel 5, Claude Opus 5, Kimi, K3, and Quinn 38. That's kind of your top five models in the world now. You know, we have two open weights models from China in spots four and five. So here is what it is.

Starting point is 00:11:46 It is Quinn 3.8 max, a 2.4 trillion parameter open weight model with a million token context window. It takes text, images, and video. So here's the interesting thing. So it did become 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 from Reuters that said Alibaba plan.

Starting point is 00:12:16 to begin charging major enterprise users for Quen 3.8 Macs to charge them a share of their revenue they generate starting next week. So that one's interesting. So who has access right now? Well, anyone. So if you're working on the hosted API or through Alibaba Cloud Model Studio. So, yeah, if you are in Alibaba cloud accounts, you can use it right now. And the API is opening compatible. So switching is a base URL in model ID change. So it's open weights, although the weights are not out yet, but they did promise them within days of the release. That's essentially what Kimmy did as well. 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.

Starting point is 00:13:06 Right. And again, unless you happen to have a data center, you know, a bunch of GPUs that you just weren't using in your basement, you're going to use this, right? It's kind of this, you know, I don't know, fortunate, unfortunate 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, right? These multiple trillion parameter, you know, open weight models, they're not really for

Starting point is 00:13:36 running locally anymore unless you literally have a data center. So, well, why is it? this useful? Well, it's frontier level capability with open weights. So yeah, if for bigger companies, you can fine tune these models or if you're working with a provider, you can fine tune them. So unlike proprietary models, where it's not always as easy to do something like that. So also, interesting to note, it did debut number four on the front end code arena. So, you know, apparently it has some pretty good front end taste to it as well. So who's going to find this valuable?

Starting point is 00:14:15 I think really just large enterprises. That's it. So if you're hedging against, you know, U.S. lab pricing and lock-in or just, you know, people who are already self-hosting large models, researchers, they are coming out with a 27B version, you know, so if you do have, you know, a couple heavy Mac studios beefed together, you can run it like super slow or something like that. actually 27b yeah you should be able to run it on like the most expensive DGXs um but yeah again nice open model open weight model so if nothing else it's pushing the other open models which are

Starting point is 00:14:53 pushing proprietary models which are push pushing prices down right that's ultimately what's happening here because the people who can afford to run something like a quen uh quen 3.8 max by running it locally are those Fortune 500 types 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, Open AI, Google, maybe as well. So, you know, that's also going to push, 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 going to impact me or my business, we can't run it. Well, you can. Right. There's always, you know, providers that you can use. But.

Starting point is 00:15:38 If anything else, keep models in check. All right. Let's go next. 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 L.M 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 when it was, you know, I think it was just released on Tuesday.

Starting point is 00:16:13 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 Agentic notebook that is out. So yeah, has a new name. Notebook L.M is gone. Gemini Notebook is here. And Gemini Notebook, at least for paid users, is agentic by default.

Starting point is 00:16:37 So Google finished rolling out the agenic 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 100 built-in skills. So think of like code interpreter grounded in your documents. You can also just 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

Starting point is 00:17:18 in your source data. So now Gemini notebook can query the web, 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? Are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on Gen. Hey, this is Jordan Wilson, host of this very podcast. Companies like Adobe, Microsoft, and Nvidia have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead.

Starting point is 00:18:06 And some of the most innovative companies in the country hire us to help. with their AI strategy and to train hundreds of their employees on how to use Gen. So whether you're looking for chat GPT training for thousands or just need help building your front-end AI strategy, you can partner with us too, just like some of the biggest companies in the world do. Go to your everyday AI.com slash partner to get in contact with our team or you can just click on the partner section of our website. We'll help you stop running in those AI circles and help get your team ahead and build a

Starting point is 00:18:38 straight path to ROI on Gen. So who has access anyone with a Gemini Pro accounts? You've got it now. So this is on the web version only. If you're an ultra subscriber, you already have this. Free users, you're still going to see Gemini Notebook, right? But you're not going to have these new agentic, the code execution or some of these new output format.

Starting point is 00:19:08 So that's the other thing that's new. In Gemini Notebook, you can output as a. PDF, a doc, you know, different PNGs, right. So essentially before you were a little more limited in what you could actually output. 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 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 going to find this valuable? Literally anyone, right? If you're, you know,

Starting point is 00:19:41 know, a heavy chat, GPT work, codex, cloud code user, right, as an example. These new agentic features are pretty good, right? I'm really looking forward to when, 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 it. Because they're technically running the Gemini 3 point Flash model. So running it agetically, sure, good, but the Gemini 35 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.

Starting point is 00:20:21 Come on, come on. Where's, where's my Gemini three 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, or no, sorry, it is at the same level as, uh, GPD 56 Luna. So okay from that respect. It's okay. ish, right? So if you think that Open AI has three tiers, you know, they have Seoul, Terra, and Luna. Right now, Google's best tier is the lowest tier for OpenAIs, Chad GPD. So take that for, you know, what it's worth. So not the best model in the world that's powering it, especially when you're a paid user, right? We're going to talk about the free kind of upgrade for GPD-5-6 Luna, which I think is great for free.

Starting point is 00:21:10 users, right? But for being a paid user right now, it's kind of not a great time 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, a folder with a plugin in JSON file, bundling an agent skill and MCP servers. And right now it works across chat chvety, codex, cursor, Google, GitHub, copilot, VS code and others. So essentially, you can build

Starting point is 00:22:00 an agent plugin once and run it anywhere. So this is a little confusing, but let me just break it down. And hopefully this is like 99% correct. Cause I haven't actually gone out and built this because it's only not like in a couple hours old. So previously think you have skills right. And skills are essentially just a bunch of text files in a folder. Right. And then you also have things like plugins and plugins are, you know,

Starting point is 00:22:28 multiple skills or a skill in an app together. Right. And then you have like JSON files. Um, so it's kind of like the new. plugins, you know, and then, you know, 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, you know, skills are pretty universal, right? Because they are just text files, they're marked down files.

Starting point is 00:22:57 So those are pretty universal. Also inside the 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, you know, your JSON files, you know, all in one package. So this is nice because before you would have to load all of these things in individually, which takes a lot of time. And when, you know, it's slightly different across different providers. You don't always have that from a business strategy perspective.

Starting point is 00:23:31 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. You know, obviously they have their Claude.md.m. Right. But it's like, okay, Anthropic, just change it to agent MD like literally every other company. Right.

Starting point is 00:23:59 Google, Microsoft, cursor, open AI. Everyone else is doing this. Anthropic, get on board. It's just making it's, I think it's slowing the pace of AI down. I think it's maybe a bad look on Anthropic. Like are you just trying to lock people in, right? I don't know, maybe they are. Maybe that's part of their business strategy.

Starting point is 00:24:18 But for me, right, I love kind of having this open, you know, new agent plug-in standard because it does make it easier for businesses. Like the other thing, too, is, 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, you know, chat, GBT work, but maybe 10% of your company needs to be on Gemini for whatever reason, right? And in this case, when you have these Asian plugins, it's very easy 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 going to be as easy for them.

Starting point is 00:25:01 Anyways. So Open AI announced this, but it's not Open AIs. So Versel initiated it as well as Amazon, AnySphere, which is cursor, GitHub co-pilot, Microsoft, etc. So who has access right now? Well, anyone. So you can just build this, right? You can just point your coding agent to this. The website. The website is just agent dash plugins.org, right? All of the documentation is there. So this is just an easy way, especially if you're 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.

Starting point is 00:25:45 Sorry, service to service. All right. Next one. Speaking of being open, right? It's a big week for open and free. This one was not expecting this. Cloudflare announced their open source Cloudflare OS. It's an internal AI work.

Starting point is 00:26:01 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 essentially every employee gets a browser-based ancient workspace with govern access to internal systems, research documents, tied to live data, automated workflows, and shareable internal apps with, well, no developers really need it. So thousands of Cloudflare's own employees across every team already use it daily, according to the company.

Starting point is 00:26:30 So seems pretty battle tested, not just like some demo software. So it competes technically, right, with ChadGGPT work or Claude Co work or Gemini Interfries, but it's free, open source and runs in your own Cloudflare account instead of the kind of per seat SaaS. So who has access right now? Well, it's open source. So anyone. So you can go download the repo.

Starting point is 00:26:55 You do obviously need a Cloudflare account to run. it because it deploys into your own account using your own access policies and integrations. But your IT team essentially, yeah, they'll probably need to help you a little bit. But there is also a managed version through Cloudflare plus implementation partners that are coming, but no date is given yet. So why is this useful? Well, you can just essentially bring your own model and have an open source agentic platform to work on.

Starting point is 00:27:30 So yes, this isn't free to use. It's 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. 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? There are versions of open.

Starting point is 00:27:58 you know, open versions of, you know, desktop agents, right? But this is from Cloudflare, one of the literally biggest names in the internet ever. So a very trusted source. So, you know, a lot of companies run their, you know, web operations through Cloudfair. So trusted, trust in name. Love this because it is giving people more options. Again, I think more options, more modularity in being able to build, the better. for people involved. Although for me, I'm still going to stick to my codex because it's just part of my

Starting point is 00:28:34 everyday workflow. All right. Next, yes, this model has been going absolutely viral. It is Minimax H3. So this is a new video model. 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 over the last like couple of days like on Twitter or whatever, it's probably mini max especially. And the reason why you're probably seeing it is because obviously with this being,

Starting point is 00:29:28 in Openweight's 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 people talking about AI and they're obviously really good, right? Because it's just, you know, ripping the copyright. It's, you know, Michael Scott's face and Michael Scott's voice. But talking about, you know, agenic swarms or something like that. So here's a little bit more about the model. So the model reads text, images, video, and audio as one context,

Starting point is 00:30:08 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 using the actual, you know, downloadable version, the quantized version, you're not going to be able to run the 2K resolution. It is going to be a standard, standard definition. And it's going to 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.

Starting point is 00:30:44 Yeah, it's going to take you maybe 20 or 30 minutes or longer 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 we're living in. And for the most part, you cannot tell that their AI videos, right?

Starting point is 00:31:18 Like obviously you can 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 gets it right. Obviously every once in a while you're going to get some some bad generations.

Starting point is 00:31:40 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 going to absolutely wreck. the upcoming U.S. election because here's the thing, it's out in the wild. So it's not like any amount of, you know, new U.S. policy is going to stop this thing. So yeah, I can see this thing causing a ton, a ton of trouble in a couple of months with the elections coming up. So who has access? So yeah, the hosted version, anyone anywhere, right, through the Minimax API. So yeah,

Starting point is 00:32:20 you don't need the fat, you know, $10,000 computer to, you know, eke out of 50,000. second video for that one. So you're paying the API prices, but the downloadable weights are on hugging face, but the license excludes right now 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 restrictions somehow. All right. 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.

Starting point is 00:33:02 There's a lot that's going on under the hood. All right. Last but not least, there is a new version of GPT 56 soul. So yes, Open AI made a pretty notable update to its flagship model. Here's what's new. 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 on GPD 5.6 Luna.

Starting point is 00:33:38 So again, kind of the tiers, GPD 56 soul is the best. GPD 56 Terra is in the middle. And then you have GPD 56 Luna. Still a very good capable model. Actually, GPD 56 Luna is pretty much on par with Claude Sonet 5. So just if you need a comparison. So for paid users, OpenAI merged the instant and thinking models into one. So now you have a slider that controls how much reasoning it puts into each answer.

Starting point is 00:34:10 So if you're on at chat, gbt.com, it's going to 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 GPS. GPD 5.6 instance on areas such as financial, medical, and legal prompts. So Zal just dropped. It's new. So who was accessed? Well, literally one billion users. Yes.

Starting point is 00:34:38 So, uh, one billion people have better models altogether. So this is not only free plans getting unlimited GPD 5.6 Luna, 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 the, you know, Opus 5 and Fable 5 are like, you know, 1A, 1B or 1B1C depending on how you look at it with the GPD 5.6 sole. But after that, right, it's GPD 5 or sorry, Sonnet 5, right? On Sonnet 5, you on a paid plan, right?

Starting point is 00:35:16 In your five-hour window, you might get 10 to 20 prompts, right? on a paid plan. So now on a free plan on Chachapit, you get unlimited. So this, again, I know I sound like a broken record. And, you know, there's plenty of stories, you know, chronicling this online. This has been a bad couple of weeks for Anthropic, right? Between all these new open models coming out, deep seek comes out, essentially cheap life free, right? Open AI, we talked about this last week.

Starting point is 00:35:53 They essentially made their GVD5.6 Luna essentially free. So yeah, it hasn't been a good couple of weeks for Anthropics. So we'll see where their number lands. They're expected to go public maybe in like as soon as two months. So that one should be interesting to see. So who's going to find it valuable? Why is this useful from Open AI? Well, a couple of things.

Starting point is 00:36:15 Well, there's no more to having to choose between instant in thinking 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, OpenAI starting to 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? I still cannot get over. Like when I read that, when I saw this announcement, I'm like, this can't be right. I'm like unlimited GPD 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,

Starting point is 00:37:05 right? You know, free users were on GPD 5.5.5 and that's how it's usually been because free users make up the majority of that billion users. So Open AI had in terms of post-training and inference they've cracked something, right? I had kind of my 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 the GPD 5.6 Luna by 80%. And now they are giving a frontier level model away to a billion people unlimited, unlimited for free.

Starting point is 00:37:46 Doesn't make sense. All right. Anyways, I'll stop losing my marbles. 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. And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going. For a little more AI magic, visit

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Everyday AI Podcast – An AI and ChatGPT Podcast - Ep 836: Updated GPT-5.6, A new Cheap Meta Model, Qwen 3.8 released and impressive and 7 more AI updates you can use today

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