OpenAI’s new ‘12 days’ features: What’s here so far and what it means

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If you want new AI features, this is the show for you. My gosh. So today we're going to be going over what's new and what's been announced with OpenAI's new updates. They've had this 12 days of ship miss or 12 days of open AI, and we're just about in the middle of it. So today we're going to be recapping not just what's new with all of these updates, but what they mean and how you can actually use them. So I'm excited for today's show. I hope you are, too. What's going on, y'? All? My name is Jordan Wilson and I'm the host of Everyday AI. So this thing, it's for you. It's your daily live stream, podcast and free daily newsletter helping everyday people like you and me not just learn about AI, but how we can all actually leverage it to grow our companies and our careers. Is that you? If so, this is for you. Another thing that's for you. Our website. My gosh, you got to go to it. It's your everyday AI.com there. You can listen to anything, right? Whatever you want to learn in Generative AI, we have it there. We've talked to the world's leading experts on just about everything. You can go watch, read and listen every single episode. 420 plus, as well as go sign up for our newsletter where we recap each day's show as well as bring you everything else that you need to know to stay up to date. All right, so today's show is going to be a little different, a little special, I think, right? Because every day we start off with the AI news. And today, actually, Google shipped so much, today's episode, I mean, it's gonna turn into a Google/OpenAI update. So, yeah, we're go over the 12, or at least, you know, the first five days of OpenAI's updates. But going over the AI news today, well, Google's got it on lock because they announced, I think, let me just say this out loud. I think Google announced more in the last 24 hours than OpenAI has in the first five days of their kind of 12 days of OpenAI. So we're going to start off the AI news, which is literally just Google updates, because I think they're that big and that significant. Also, let me know, live stream audience I had some issues last time. Hopefully y' all can hear me today. All right, but let's talk about AI news today. It's just all Google. My gosh, they shipped. All right, so first, Google has unveiled Gemini 2.0 Flash, the latest in its AI model lineup, promising enhanced speed and performance over other previous versions. So the new model is part of Google's strategy to encourage developers to create innovative applications using AI Studio and Vertex AI. So yeah, if you're going on the front end of Google Gemini, you're not going to see Gemini 2.0 flash or actually, you know what, there's been so many updates over the last couple of days. Okay, actually I'm wrong. You will see 2.0 flash on the front end. Yeah, that's right. Finally we get some front end updates for Google Gemini. So Gemini 2.0 Flash is a multilingual and multi multimodal, supporting text, imagery and audio inputs and can respond in any of those modes. So the model introduces a, and this is on the Google AI Studio side, a multimodal live API enabling real time conversation and image analysis. So Google aims to integrate AI agents also into practical applications. Yeah, and we're going to be talking about some of these exploring projects like Project Astra, Project Mariner and Jules, which focuses on human agent interaction and coding assistance. So joules, let's talk about that very quickly. That is a new AI powered coding agent, so specifically made for coding and development tasks. And it's set to assist developers with coding tasks in Google Collab and other IDEs through currently available. And that's only available right now to trusted testers. All right, the next one, Google's Project Mariner. All right, so this was code named previously, I believe it was Project Jarvis. You know, I said that name's not going to happen because that's going to be another lawsuit like the last company that tried to do Jarvis. So Google has officially unveiled Project Mariner, which is the first AI agent capable of navigating the web autonomously. So yeah, you can kind of do it right now with Claude's computer use, but you can't really do it on the front end. You have to do a little bit of setup, you know, down download something on your desktop. So this is the first one, it's not available to everyone yet. But all these new things that we're talking about here from Google Gemini are powered by the new Gemini 2.0 flash. So this new mariner is a Gemini powered AI agent that can control a Chrome browser, moving the cursor Clicking buttons and filling out forms, mimicking human interactions on website. So it's initially just released to a small group of these pre selected testers. So yeah, who knows when we're actually, the rest of us are going to see it. It's moving toward an AI mediated web interaction rather than just direct user engagement. So the Mariner AI agent can perform tasks such as creating shopping carts on grocery websites, finding flights and exploring recipes. Here's how it works. So screen activity is monitored through screenshots sent to Google Gemini in the cloud, ensuring users are aware of the agent's actions. And right now, Project Mariner operates only in the Active tab in Chrome, so it does require users to kind of watch its activity or when I'm using it, I'm just going to give it its own computer and be like, yo, go do your thing, buddy. And Google says that is intentional for transparency. There is no specific timeline for a broader rollout of this Project Mariner. But you know, we'll see Google a lot of times they either ship something right away or they, you know, put out a little tease and it could be many, many months like we just saw with Sora. All right, Project Astray Google. Yes. More Google AI news, y'. All. I wanted to bring you other AI news, but I didn't have a choice. So now we have a wait list. Yay. Google has opened Project Astro, which we've talked about many times on the show, to its trusted tester wait list. So this is its new augmented reality kind of project, very similar to what we saw demoed on 60 minutes from OpenAI with its advanced voice mode, the ability to kind of see real time video and interact with that. So a little different than some of these other things that we're talking about. But According to Google's DeepMind page, Project Astra allows users to engage via a mobile device and prototype AR glasses, aiming to enhance user interaction through an experimental Astra app. So participants can use the app to to open their camera and share their screen, gaining quick information about objects they see, leveraging Google's apps like Maps, Lens and Search. So the AI model behind Astra is described as multilingual, allowing users to interact in their preferred language with the AI provid vocal and written responses. So Google has also integrated a memory feature into Astra, enabling it to recall key details from previous interactions, similar to the saved info feature in Gemini. And yeah, we saw Project Astra initially released or teased at IO, Google's IO conference many, many months ago. So still not out, but we saw some new Features. Pretty, pretty impressive. All right, last but not least, I promise this is it, y'. All. So Google has unveiled Deep Research. This is huge. I freaking love this. All right, I'm not going to go ahead and say it's like a, a suno moment for me or a Notebook LLM, but my gosh, I am loving Deep Research so far. So Google has just released Deep Research. It's its latest AI advancement and it promises to change how users conduct online research by automating the process. So it was just announced and it's part of the Gemini advance. So you do have to be on that 20amonth. Think of it like this. Here's what it is. And I'm going to skip all my other bullet points. You know how Perplexity can, you know, go through and look at 15 to 20 websites. I love perplexity. I've loved it all along. This is going to kill it. If Perplexity doesn't pivot. I'm dead serious. Y' all love Perplexity. Use it every day. I used Google's Deep Research last night to help me prepare for this show. My mind was blown. Okay? It visited 169 websites for me. Let me repeat that. It, I mean, it was a very long prompt, right? And I gave it a lot of instruction, but it visited 169 websites for me. It did all the browsing, right? So, you know, OpenAI has their, you know, ChatGPT search. Perplexity. Fantastic. This could be a literal not. I'm not going to use the word game changing. I'm going to say the word human changing. I don't know, unless it's a quick one off thing. If I'm going to be doing any other web browsing, I'm probably just going to be using this new Deep Research. It is so, so good. So make sure you go check that out. But again, you do have to have the gemini advanced plan 20amonth. I don't know why I don't have it on my Workspace account, which I pay for, but I have on my personal Gmail. I pay for the advanced version there as well. So it may not be rolled out if you are using Google Workspace in your organization or your business account, but you might have to pay for it on your personal Gmail, but it is there. All right. Oh, gosh. I told y'. All. Hey, I warned you guys ahead of time this was going to turn into a dual episode of Open AI and Google News. But all right, let's get to this stuff. You actually came for the 12 new features. So what the. What, what is going on? Well, I think this is also a good example of go to market strategy, right? Because no one was really talking about Google right until yesterday and they went nutty. But we've all been talking about the 12 days of OpenAI. I love what. And maybe this is just the startup mentality, but OpenAI, I love what they've done with this. You know, they have a live stream every day at noon Central, 10am Pacific. It's good, it's entertaining, it's fast and it's detailed. So every single day from it started last week until I believe the last day is December, December 20th. So next Friday they're releasing or announcing one new feature or one big update. So we are about halfway. Today marks the halfway point. So we're going to be going over the first five and I'm not just going to be rattling off like, oh, here's what's new, but I'm going to tell you what it all actually means. All right, so day one, here we go. And y', all, if you do have questions as we go along, please, please get them in. All right, so day one, we actually kind of got two announcements. They could have been, if I'm being honest, they could have made this into two separate announcements, but that's fine. So on day one, we got both Chat GPT Pro, which is a new tier, the elite cool kids club or country club of chat GPT at 200amonth. So we got a new Chat GPT Pro, we got the full 01 model. Okay, so previously, this OpenAI's new kind of reasoning model, which is completely different than their GPT models, we just had a preview, we had the Preview in the Mini. So now we have Mini 01 full and then you have 01 Pro. But you only get that 01 Pro if you are on the $200 a month Pro plan. So there's some other features of that Pro plan when we talk about Sora, which we're going to be getting to here in a second. So that's what was announced on day one. So here's what these new modes and offers do, right? So the new 01 updates. So according to OpenAI, it offers a 34% reduced error rate versus previous mod, it delivers deeper analysis and a PhD level reasoning for complex research, math and coding. And it does allocate what they said, extra compute time for the O1 Pro. So we don't even know is 01 Pro just like, is it a completely different model? Was it trained differently? There's not a ton of information out yet. Essentially what OpenAI said is yo, we just give us some extra juice, we give it extra compute. Right? So that makes me think it's like, okay, is the O1 model being like somewhat throttled or could the O1, the full O1 model do what O1 Pro is capable of? I don't think so. It does just seem like, you know, there's just extra brains in this O1 Pro model. So if you haven't used O1, I think it's limited use cases. Right. But if, if you're in data, if you do anything around data, if you do anything around business intelligence, if you do anything around software development, if you do anything around research, if you do anything in, in the academic fields, I think oh one is a great model. So again, I'm not going to go too deeply, but O1 is complet different than traditional large language models what many of us use. So it does use this kind of chain of thought or reasoning. So it thinks, it thinks like a human. Right? And sometimes it will think for multiple minutes before it gives you a response. So it's not this quick topical response that you're used to with the GPT series of models. It really thinks and it reasons and it is really good. So what's the availability? Well, now, no wait list. It's available now. If you do want that 01 Pro, you do have to be on that chat GPT Pro plan, which is 200amonth. So what makes this unique? Well, there's a couple things here because it's technically like two or three different things, right? The Chat GBT Pro plan. Well, what makes that unique is, well, it's the most expensive kind of consumer grade subscription there is out there, right? Yeah, we had Devin's, you know, or cognitions Devin that was just announced this week that we covered in our newsletter for $500 a month. But that's not for everyone. So this is, I would say, the first time that we've seen an AI or a large language model related plan that is really premium. And I've been saying this for more than a year. I've said all along there's going to be AI plans that are hundreds or thousands of dollars a month. As we get more and more capable models. Right. As we, you know, maybe officially or unofficially cross over from the AGI tier, working toward the ASI t even as compute becomes too cheap to meter, we're still going to have plans. And I do see this eventually from, you know, maybe Claude, maybe Microsoft, maybe Google. Right? But I don't think it's going to be wild to think about that. There's going to be plans that cost hundreds or thousands of dollars a month, right? Especially as these models become, you know, multi agent environments. Think of reasoning models that have access to tools that can perform actions on your behalf. Right? Who wouldn't pay hundreds or thousands of dollars a month even if it's per user. But what makes the O1 Pro model unique is, well, it just gets extra juice, right? And it's according to all the benchmarks. We already went over the benchmarks earlier. The benchmarks are very impressive, very impressive at math coding. You know, think of anything that a, a Ph.D. would be capable of. You know, that's what Zero1 Pro essentially is. It gives you highly accurate Ph.D. level intelligence in your pocket. Wild. So how can you use it? Right? I told you I wasn't just going to rattle off a bunch of stats at you today. Although we're going to be doing that. But well, it can solve advanced scientific and mathematical problems with research grade accuracy. It can tackle intricate coding challenges and it can execute tasks demanding careful, consistent reasoning. All right, so give it a try, right? People are like, oh, should I do the 200 Pro plan? Well, we're going to talk about Sora and maybe the answer to that depends on if you're going to be using SORA a lot. And I do think that we're going to see more differentiation. I said this last week, the week before or sorry, I saw that I said this last week once the PRO plan was announced. I'm like, there's going to be More features that OpenAI announces during this 12 days that are going to be extremely or sorry that the paid plan is going to be Limited. The $20 a month plan, it's going to be limited for a lot of these new features that we saw. Saw that immediately. With Sora you don't get access to everything on the $20 a month plan. So the $200 a month plan, there's going to be a lot. But you know, Even on the $20 a month plan you can get your get your feet wet with 01. I still use 01 every day. Even though I'm not a researcher. I'm not using it for, you know, PhD level mathematics or coding challenges. Right? I'm d data on it and I'm having it think for me. Right? It's weird now so often, at least when it comes to business, I, I, I always have multiple large language models do my first round of thinking. For me, when it comes to a, a deep task, even, even something like planning. Today's podcast, right? I go to reasoning models first, right? It's like, oh, how should I open it, how should I plan it, how should I structure it, right? Here's all my data, all my notes, right? Because I'm taking notes. Put it all in a, in, in a good format for me, right? So it's, it's not just if you're a mathematician. All right, so day two, Sora. All right. We covered, did, did a little review of sora on our YouTube channel and we shared that in, in our newsletter as well. But hey, live stream audience, let me know you guys interested in Sora. It's, it's weird. I've, you know, in some previous lives I did a lot of video shooting, a lot of video editing. You know, I don't really do any of that anymore, but it's really good. It's really good. You know and I keep thinking in my head who is Sora actually for, right? And I think very early on creatives, right? So, but I think eventually everyday people are going to be using it, right? As content becomes easier to create with AI, I think consumers expectations for highly personalized content is going to increase, right? So I, I would say, let's just say, let's just say for, for easy use, right? Fortune 500 companies, 500 companies, let's say only 10 of them really leaned heavily into creative video production traditionally. All right, now I think it's going to be the other way around. It's going to be 90, right? Because consumer expectations are going to increase because we're going to start getting highly personalized, very high quality video content that speaks to us, right? So I think what SORA is starting to bring is, is going to change it. So yeah, Soar, if you don't know it is OpenAI's text to video model. This is one of those ones Talk about weightlift list, right? I, I sometimes call Google out. You gotta call, gotta call Open AI out on this one, right? And then I know there's reasons, you know, they, they previewed this in February. So this was a ten month wait list. And I said, I said in February, I said in February. This isn't going to come out until after the US Election. It didn't, right? So there's certain things when it comes to safety, you know, even when it comes to following laws, right? So as an example, Miriam here is saying no, Sora here in the uk yeah. CEO Sam Altman said it's going to take a while while. Right. There's certain laws in certain countries that might prohibit things and it's for safety reasons as well. So I get it. Super long wait. But let's talk about what Sora does. So it transforms detailed text prompts into HD videos up to a minute long. If you do have that 200amonth plan, the Pro plan, it creates, it creates, extends and refines scenes with multiple characters and precise motions. And it maintains high visual fidelity and prompt adherence. So is it perfect? Absolutely not. Right? No. Yeah, try, try something that requires real world physics. Not good. Right. Try to run a Sora prompt with something with gymnastics. Right. Something with a human, you know, or a group of people mountain climbing. Right. The physics still aren't there. So you, you do have to understand what Sora's strong suits are capabilities. If you're going to start with tax, if you're going to start with an image. But if you know what you're doing, doing, and you might have to run four different variations to get one that works. But for the most part, if you know what you're doing, you can create video that five years ago would have taken thousands of dollars. Multiple humans, you can create something decent in a couple of hours. Right. By stitching some of these short clips together, you could create a promo video for your business. You could create an advertising campaign. You can create so many things that again, would have taken a big budget and a lot of humans. You can do that with a 200amonth subscription now, right. I don't think you could do it with a 20amonth because your credits get burned quickly and you do sometimes have to run multiple generations to get something usable because you get something different every time. But it can, it can again, I'm not going to say replacement, but it can really do what thousands of dollars and multiple humans used to do five to ten years ago. Extremely impressive. Well, the availability, it's availability to all chat, GBT plus and pro users and future tailored pricing is planned. So yeah, we might see a credit system because, you know, I saw online even people that have the chat GPT, you know, pro plan, $200 a month, it is a credit based system and you essentially have unlimited generations of lower quality. But if you want HD quality, you're gonna run out. You could even run out pretty quickly on that 200amonth plan. Right. Where I think, you know, other video generators where they, where they might excel is allowing you a bigger plate. Right. With a Runway, you can eat more, right? With Aluma Labs, you can eat more right now. I think Sora is higher quality than some of those. People might disagree with me on that. If you look at the ceiling, right? If you're not looking at the average, because tools like Runway, like Luma, like Cling, all of these other AI video generators, they've gotten, you know, millions of data points. Sora doesn't have that yet, but they will soon. Again, this is the worst Sora will ever be, but I think Sora has a higher ceiling, the average output right now. Sora might not be the leader because it's a couple days old, right. In terms of the general public, right. OpenAI servers have been crashing. Like I saw. I read online, December has been OpenAI's most, or I guess their hardest hit month in terms of uptime. Right. Everyone's rushing and crushing the server. So it will hopefully get a little bit better. 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 AI. 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. 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 AI. So whether you're looking for ChatGPT 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 everydayai.com partner to get in contact with our team or you can just click on the partner section of our website. Site will help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on gen AI. Yeah, a couple people asking about VPNs, right? So yeah, if you're in Europe, certain, certain countries in the eu, you don't have access and if you use a vpn, you could try, right? But they explicitly said they are going to ban accounts that are doing that since so I wouldn't necessarily recommend it. All right, so. So what makes Sora unique? Well, there's a lot of features that I like that are super easy. So I'm going to talk about a couple here. So one style presets, not super unique, but I think it's unique in the way that it's implemented. So you can very quickly. You don't have to be a prompt prompt engineering expert. You don't have to be an AI video aficionado to be able to really get the most out of Sora with some of these presets. But I love the storyboard feature. I think it's not super mature yet, but I think it's going to get better to play around with it a little bit. But this is essentially a way that you can make a coherent story, right? Because that's been one of the biggest challenges with, with AI videos so far is, is having being able to piece together multiple of these clips. Right. Because if you try to let it create something long, it may go off the rails. So generally your best generations using AI video tools are running shorter ones that you have more control over and probably starting with an image versus text. Right? So what a lot of people have done is, you know, there's now AI image tools that allow you to create consistent characters. So then they just do that and then create, you know, line those up and create multiple videos. But with the storyboard feature, it does that. That, right? So it's like you can literally run multiple text prompts, you know, one after another after another after another. And Sora does its best to make them all work together. Super impressive feature. So how can you use it? Well, we already talked about this, but you can use Sora to quickly produce concept visuals and unique animations. You can generate educational or marketing videos with minimal effort. You can streamline content creation, saving a ton of time and resources. All right, all right, let's keep it going. Let's keep it going. Liz. Liz said Sora broke my heart. They're on GPT teams and you didn't get access to it, but plus did. Yeah, teams. Teams and enterprise clients aren't always going to be able to get access to all of these things, Right. I have multiple free accounts. I have chat GPT plus accounts. I have chat GPT teams accounts. I. I have enterprise. Right. Because clients hire us to help help them help help their teams learn chat gbt. So, yeah, some of these are, are if you want access immediately, you might just have to be on the chat GBT plus plan or on now on the pro plan. All right, day three. All right, we're gonna go a little faster. This one's dragging on Google. Google had to screw up the timing. It just ship like crazy. All right, so day three was reinforcement, fine tuning research program. Little technical, but super cool. All right, so here's what was announced. Well, it was an expansion of the RFTRP or RF I, I, I don't even know if, if we're gonna abbreviate that one. So the reinforcement fine tuning research program, it was an expansion of the program enabling reinforcement based custom AI model development. I know this sounds dorky. It's not as dorky as it seems. So here's what it does. It employs reward driven loops to refine model reasoning and accuracy. You can create specialized models in narrow domain such as medical or legal with minimal data. That is the key here. We're talking about dozens of examples, not hundreds of thousands, right? When you would talk about traditionally fine tuning models, right? With take a long time. So now with this kind of new program, we're talking about dozens of examples. All right. So it essentially creates expert models with significantly improved task performance. Right now it is in alpha, so it's not even in beta phase yet. So you know, I wouldn't see plan for general availability for this anytime soon. Although OpenAI did say that a the release for this is planned for early 2025. So here's what makes it unique. It uses a grader that you can reward desired outputs, boosting correctedness and reasoning quality. And it requires like I said, way fewer examples. So think of this is not. Sometimes y' all like this shows for everyday people. Sometimes I sacrifice 1% of accuracy so I can get 99 more clarity. Okay, think of it like this. Two years ago if you wanted to fine tune a model, right? So that means make this big model specific for your domain. It would cost a lot of money, sometimes millions of dollars. It would take a lot of engineers and it would take sometimes hundreds of thousands of your own data points to essentially train the model, right? So think of it as you're using a car's engine. Engine, right. And then you're building, you know, the tires and the. I don't know anything about cars. I shouldn't have used that as an example, right? But you know, you're building all these other pieces and it takes time. Now it's not like that anymore, right? So what this could lead to is customizing your own car, but with a couple of clicks, right? And not having to have a team of people building the rest of the car, just starting with the engine. So you know, how we can use and build these models is going to really change. And being able to get a fine, essentially a fine tuned model with only a couple dozen examples, right. Where you have to train the model. Hey, when someone Asks about this. This is a right answer, this is a wrong answer and this is why, right? You essentially easily can classify those things. It makes it simple, right? It makes it to where non technical people and smaller businesses, startups can start using once it's available. Whereas normally in order to fine tune models, you had to be an enterprise company with a bunch of, you know, AI engineers essentially. So here's how you can, how you can use it. You can produce high accuracy models in focus fields. You can improve outcomes on complex domain specific tasks and achieve strong performance with fewer examples. All right, I see, I see a couple of questions, y' all keep, keep them coming. I'm going to tackle any of the questions that you have at the end as I'm scrolling through here. So let's talk about day four. All right, so day four, Canvas updates. So here's what was announced. Canvas was previously only for Chat GPT plus users. Now it's available for all. So if you are using the free version of chat GPT, which I would not recommend, just pay the 20amonth, y'. All, it's, it's the easiest. Like, you know, think of your coffee. I'm sipping a coffee right now. Now. Hey, shout out Nespresso. I love Nespresso more than anything else. They sponsor the show because I'm always sipping, sipping on their coffee in the morning. But think if you go get a coffee at Starbucks or your local coffee shop, let's say you do it twice a week, three times a week. Well, there's your 20amonth. Chat GBT plus or. Yeah, chat GPT plus subscription plan. You know, people, if they're using the free version, they just give you enough to get a taste, but it's not enough to actually get work done, if that's what you want to do anyways. So the big update with Canvas, well, it's available to everyone. There's some other bells and whistles essentially. Canvas was previously its own mode, but now it is not its own mode. So it is used in the tools section. So there's now a new icon when you are using ChatGPT and essentially it is a tool that you can use inside any mode now, aside from the O1 models in advanced Voice mode. But essentially it's not its own mode anymore. So a tool, you click on it to use it. The other big update here is it can also run Python and it does now work with custom GPTs. All right, so as I go over what it does, hopefully that'll explain a little bit more. So Canvas serves as a side panel within ChatGPT for collaborative writing and coding projects. You're not collaborating with teams, right? Like in Microsoft Pages, you're collaborating with ChatGPT. So normally when you are conversing with ChatGPT, right? You give it a prompt, it gives you a long answer. If you want to change something, you got to kind of reprompt, but Canvas changes it. So think of it as a split paint. So on the left side you're talking to Chat gbt. On the right side, it's like an editable document. That's a hard word to say at 7am in the morning. Editable, Editable. All right, you can edit the document live, right? And you can also work with Chat GPT live, right? So think of, of in a document you can go, you can type something yourself, tag Chat GPT in, without having to constantly reprompt, scroll up, you know, it's, it's, it's just a much better experience, right? I actually like that they called it Canvas because that's what it is, it's a canvas and you can stay in that canvas and work on it. And chatgpt, right? There's all these nice little, you know, one touch buttons, you know, to polish the writing, change the writing style, do code debugging, right button, but you can stay there. So it's just much easier to navigate with this kind of dual pane, right? So you can essentially, you know, kind of quote unquote command chatgpt on the left pane and then on the right pane you can see it work. You can go in there, work with it, change some things manually. It's, it's a great mode. So it does allow direct editing of text and code, support shortcuts and keep version history also. Now the big thing is you can run Python code. So this is a shot at, at Artifacts, right? I do think in Anthropics Quad, the Artifacts feature was it's best, it's best feature, right? That's 80% of what I use Claude for is for artifacts. Claude still has, and Artifacts still has way more advantages because essentially it can run any code. Artifacts can or much, you know, I don't have a complete list, but you can run, you know, you can create an HTML website, you can create a business dashboard, right? You can do all these things. So right now, now the new Canvas updates, you can just run Python, right? So you can't just render out any type of code. But Python's a great start, right? And this is something at least if, if you're an engineer, software developer, coder, business intelligence, etc, you're using Python. Python is an extremely flexible programming language. You can create graphs with Python, you can create games with Python. Right? You create so many things with Python with that programming language. But, but cloud artifacts still has an advantage if you're just looking at a large language model's ability to render something in the window. So it's available now, right? So yes, Canvas available now even if you are a free user and it's available inside of GPT. So you do have to have a paid account to create GPTs, but now you have that kind of Canvas feature or Canvas ability inside of your GPT, which I think is really nice. So what makes it unique? Well, it, like I said, provides a visual side by side interface for working directly within Chat GPT. Chat GPT also gains better context awareness, offering targeted inline feedback and suggestions. You know what, I actually haven't done context text context testing within Chat GPT, which I probably should do, right? So, so I'm assuming that it's not going to eat up as many tokens if all it's doing. So let's say, you know, you, you ask ChatGPT to spit out a thousand words, let's just say, or a thousand tokens, right, each time and you're just slightly reiterating, eventually you're going to hit that 32,000 token limit in chat GPT on the front end, right? If you're using chat GPT on the back end, it's 128,000 tokens. That's its memory before it starts forgetting things. So I do need to do some testing because I'm assuming that the Canvas using the Canvas feature is technically going to eat up a lot fewer tokens. So even if, if, even if you don't think that you're going to need that direct editing feature, I don't necessarily see a downside to using Canvas most of the time for, for most everyday use. Also what's great about Canvas is you can highlight specific sections for focused assistance and also you can, there's those nice little shortcuts on the side, right? Where if you're working with co, it can debug suggest improvements. You can change the writing tone with one click. You can make it longer, shorter, right? Very cool. Just easy button, you know, like huge one click that can change the output. So how can you use it? Well, you can collaborate interactively with Chat GBT on writing or coding tasks. You can run and refine Python code right in the workspace for immediate validation and you can request and receive targeted edits, suggestions and improvements on your work without even having to talk to ChatGPT. Right. Sometimes you're like, oh, okay, how do I, you know, have Chat GPT, you know, change it this way, right? And you're thinking, and you got to type it out and you're like, ah, that's not right, right. And you're like, wondering, how can I give Chat GPT feedback? Well, in the Canvas mode, which is, I don't think anyone else has that level of one click flexibility. Right? There's, there's other large language models where you can, you know, change the tone, make it longer or shorter with one click. But ChatGPT and the Canvas mode really brings a lot of easy one click modifications to that toolbar. So, like I said, if you're not using Canvas mode, it's pretty much my default mode. Even though it's not its own mode now it's a tool. But there's, I see very few instances where you shouldn't be using it as your default. All right, and now we have our last day. Here we go. We got to the end. Day five, y'. All. So it's the Apple Chat GBT partnership. Is this new? No, nothing was new here. Nothing was new except it's out. All right, so, you know, I think all these other things, there's been a certain level of surprise or intrigue. So, you know, day five, not so much. It was just essentially the Apple and Chat GPT partnership is live, all right, as Apple, uh, updated their iOS and their Mac operating system. So here's what it does, does. We've covered it very, very, very in depth here on the show. So it embeds Chat GPT into Siri and also Apple's writing tools. It uses essentially Chat gbt. So there's settings that you can go into on your iPhone and enable this and, or Chat GPT will ask you, or, sorry, Siri will ask you. So if you're asking Siri something that is a little too complex, it will say essentially, do you Want to use ChatGPT for this? Or you can just kind of override that and make that your default setting within Apple's settings. So it does embed Chat GPT into Siri. And Apple's writing tools for advanced reasoning and content generation can analyze images in documents natively with no extra accounts needed. Also, this new integration that's live enhances series intelligence beyond standard assistant functions. Are we finally going to have a smart AI assistant? Well, we'll see. See, I think my Devices, I didn't even have time to update them yet. All right, so here's the availability. It's availability. It's available now. Right. So you do just have to update to the latest iOS and the Mac OS updates. A lot of it is device dependent though. So you do, as an example, if you're using it on your Mac, you have to have an M chip, so an M1, M2, M3 chip. So it's not going to work on super old Macs. The same thing on, on the phone you do to use the kind of the camera or the vision feature. You do have to have the newest iPhone. So that's not going to work with all of them. All right, because you know, for some of these things that happen, you know, on edge AI, right, it's happening on your device. Some of these things happen in the cloud. So you don't need the most powerful device, but some of these things you do need the most powerful processors. Yeah, Monica here is saying finally. Yeah, I agree, agree. I'm excited to test out that new feature and, and to report more on it because to tell you the truth, I haven't, I haven't been able to research that one as much. That is the one, the last announcement that just came out. So what makes this unique? Well, one thing that Apple does a really good job on is privacy. Right? Yes. They are last to the game. I think most people, you know, by the time they hear Apple Intelligence at least if you're like me, I kind of roll my eyes, you know, I don't know. To be honest, I kind of hate the hard stance on branding that Apple is taking toward artificial intelligence by calling it Apple Intelligence. I think that's a little, a little cheesy, especially coming from the company that is multiple years behind its biggest competitor in Microsoft. Right. So to try to rebrand artificial intelligence as Apple Intelligence when most people still aren't going to get these full features until 2025 and we've already had Microsoft copilot for multiple years now. Kind of cheesy Apple, I don't know. All right, so here's how you can use this new chat GPT Apple Intelligence Integration. So you can draft documents, emails and analysis without leaving Apple's ecosystem. You can summarize PDFs and interpret images right on your device device. And you can enjoy faster, more integrated AI assistance for everyday tasks. I'm not going to use it, if I'm being honest. I'm not going to use Apple intelligence. At least 90% of them. I mean, we'll see if I end up using Siri. I, I just like using advanced voice mode on Chat GPT. Also Google Live, their voice mode is probably the leader right now because it is the only voice mode that is neural voice. Right. I'll say that because obviously Apple and Siri or sorry Siri and Alexa are connected to the Internet but they're dumb assistants. Right. So the only true like AI assistant that is connected in real time to the Internet right now is Google Gemini's Live but Hope and now Siri technically Right. So I haven't tried it out now but hopefully we'll see some updates from the advanced voice mode. I love using it but the downside of ChatGPT's advanced voice mode is it's not connected to the Internet so you're not getting the most up to date real time information. All right, so that's how you can use this new Apple kind of thing here. So let me just quickly, I saw a couple of questions, sorry if I missed it. I'm actually on my laptop today so normally, normally I have you know, two computers and I can see a little bit more. So I, I'm going to try to get to a couple of these questions here and then I'm going to tell you what I think is next for OpenAI's kind of 12 days. So Frank is asking do I have to pay per user for Pro if we are in the same organization? Frank? I believe yes, although I don't believe, I don't believe as of yesterday at least I was talking with one of my contacts at OpenAI. I don't believe that Pro is yet available for teams or enterprise accounts. I'm sure it will be any day now, but as far as I know know right now. Right. And I have a teams account, I have an enterprise account but I, I don't have billing or admin access to that. But on my teams account I can't upgrade to Pro. I can only do that with my kind of quote unquote normal accounts. So you know, a free account you can upgrade to Pro. A chat GBT plus 20amonth you can upgrade to that 200 account. Frank also asking where did O1 go? I had it seven days ago. So frustrated. It's, it's still there. So yeah, if you, if you have a paid 20 month account, 01 is still there. Philip joining from YouTube says Gemini Pro and Ultra. So can we say Gemini is the biggest competitor against Open AI? Yeah, they are. I'm gonna save this rant for another day, Philip. I Think, I think, wow. I mean if I'm being honest, I think until yesterday OpenAI was in its own tier. Right. It was tier one, OpenAI, tier two. You know, 2A, Google, you know, 2B Microsoft, even though Microsoft's just essentially. Ah, no, I gotta change that. I would actually say previously I would say 1A OpenAI, 1B Microsoft Copilot. Then I would say 2 2A was probably Google Gemini. And then you know, 2B was probably Claude anthropic. But now I think Google is back up in that tier one with what we just saw yesterday. I mean, my gosh, I mean the problem, they have a marketing problem. Google has a go to market problem. OpenAI does not. Right. OpenAI brings again. Yeah. Sometimes you get these long wait lists but at least the products get released. Google not so much. And sometimes they're just releasing it on the developer end. Right. Which people don't understand. People do not understand this. Five years ago it was CTOS, CSOs, it was the highly technical people that were making these decisions. So I think Google especially has this all wrong. They have their go to market all wrong. They're only appealing, I think, or relying too much on developers. Because aside from finally see the front end of Google, Gemini just got some much needed updates in the last 24 hours with the new 2.0 flash and also the new 15 deep research. Amazing. But for the most part Google, the front end of Google Gemini has just been abandoned. Right. But that's what people use. I literally, literally, and this is not an exaggeration, I have people reach out to me all the time and they're saying Jordan, listen to your show, blah blah blah, you went off on some crazy rant, but our entire executive team looked it up and you were right. Right. But these executives that are trying to make decisions on AI, they're going on the front end. They're going. Chatgpt.com gemini.google.com Claude AI Copilot. Right. That's what they're doing. They're not going to Google's AI studio or, or Vertex anymore because now the, the decision making ability. It is CEOs, it's CMOs. Right, right. It's people that are not necessarily technical, they're not the ones necessarily going on the developer platform to test things out. I think Google has tremendously missed their go to market. But yeah, right now they're the biggest competitor. Sorry Philip, I went on a rant. All right, Jay, how long did it take to give you a response after search the 160 sites. Great, Jay. So yeah, it searched the Google deep research, searched 169 sites. I literally like I made a face if you're on the live stream. I was like this, I was up here by myself. I don't know, 10, 11pm last night doing some last minute prep for today's show and I, I was legit flabbergasted. It took probably, I should have timed it. I'll probably do a video review. It probably took about two to three minutes. I'm guessing it might take longer as more people use it. Right. It might be kind of like, you know, bandwidth. Right. So if you're using it during busy times, it might take longer, but it took of a lot about two or three minutes. But you know what, I'm fine with that because as I've been using Perplexity, I've been using Perplexity since it came out. I personally feel in, in my team's experience, Perplexity is getting more things wrong than they used to. It's new kind of quote unquote reasoning. Not that good. I don't think this new Deep Research, I was blown away and yeah, Jay, I'm pretty much ready. Ready. I'm pretty much ready to drop Perplexity. Not just yet. Right. There's a lot of things that I had, you know, baked into our workflow that I'm not yet ready to drop Perplexity because of this new Deep Research. Have to do a lot more testing. But I mean instantly, 80% of my use cases for Perplexity went out the window the very first time that I used Deep Research from, from Google. Amazing. And that's not really happened. Right. Very rarely do I use a tool once. Right. Because I, I test, I stress test these things, try to break them, you know, reverse engineer what's good and bad. Right. Very, very. Hardly ever do I use something once and say this is going to replace a big part of, of my team's workflow. That happened. That happened. All right, y', all, I don't see any more questions. I hope this was helpful. I hope it was helpful to, to get a nice overview of everything that's been going on. But here's what I think is next. Okay, there's still seven days. So what is OpenAI going to release? Well, I think we're going to see projects and, and some of these, you know, there's some random rumors on the Internet in screenshots and some of these things are just my hunch from covering this every single day. I think we're going to see projects, which is essentially a, a fold inside ChatGPT to help you stay better organized but also to upload files. So something between like spaces in Perplexity and projects in Claude, but essentially one spot where you can upload custom instructions, different chats and different files. I think we're going to see that. I think we're going to see some advanced voice mode updates, hopefully the ability to use tools and the Internet within advanced voice mode. Right? That's what I want. I want to be able to have this neural voice that I can talk to like a Siri, like an Alexa, right? That's actually smart, that is powered by a large language model but I can upload my data to and it can also look up real time information on the Internet because right now advanced voice mode you cannot upload your own data. It doesn't have access to any of the other tools of chat gbt. So I think, and I hope that we're going to see something like that. I think we are going to see a, a GPT 4.5 live, maybe not released, but a wait list, I'm not sure. But I think we're at least going to see the next GPT model since we've seen a lot of movement in the O1 series. And I think we're going to get a preview of the rumored operator agent from OpenAI especially, right? What we just saw from Google. We've been seeing reports for many months that OpenAI has been working on this new agentic system and that's next on their steps, right? They have this five step plan to AGI, right? And we're at Reasoners and it's so, it's, it's only, it's only logical that the next step toward that is agents, right? We've seen it from Microsoft Copilot, we've seen it from Salesforce, right. We've seen it now from Google, right? Even though it's probably going to take many, many months for most of us to get our hands on this. But I do think that's next. So that's what I think. Let me know actually right now if you're still listening on the live stream. Get your best guess in for what's next. I'm going to grab some of my favorites and put them into today's newsletter. All right, so let me know what you think is next. All right. And also if you haven't already, please go to your everydayai.com Sign up for the free daily newsletter. If this was helpful, please repost this I know this was a longer show. It ended up being half Google, half open AI. But hey, in 50 minutes or in 25 minutes, if you listen to me on 2X, which I definitely would, you just got tons of hours worth of updates and now you are the smartest person in AI at your company. All right, so thank you for tuning in again. Please go to your everydayai.com Sign up for the free daily newsletter. Yeah, we recap today's episode in every episode. So when we have super smart guests, we recap the main insights in our newsletter as well as keeping you up to date on everything else that's happening in the world of AI. Thank you for tuning in. We hope to see you back tomorrow and every day for more Everyday AI. Thank you. Thanks y'. All.

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