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Newly Unleashed: Canvas Mode by OpenAI
OpenAI has released a fresh interface, "Canvas Mode," for its ChatGPT. This new development appears positioned to augment the scope of collaborative writing and coding. It is pertinent to mention that Canvas Mode has been compared with other similar features like Anthropic's Claude Artifacts, with the prime differentiating factor being Canvas Mode's emphasis on improved human-AI collaboration.
Canvas Mode Functionality: More than a Simple Chat Interface
Canvas mode in the new ChatGPT does not restrict itself to simple chatting. Tailored to next-level interactive experiences, it provides an open platform for the inception, refinement, and realization of concepts in a collective fashion. Currently, in its beta stage, Canvas Mode comes with advanced options like precise edits and multi-layered rewrites.
Canvas Mode Availability: More User Input on the Horizon
As of now, Canvas Mode is available to ChatGPT Plus and Teams users globally. OpenAI, however, plans to extend this availability to all ChatGPT free users once the interface has been fully crust tested and optimized post-beta stage.
Technical Insight into Canvas Mode
In technical terms, Canvas Mode works with GPT-4o, and remains incompatible with newer models like the reasoning model (O1). This encapsulates a fine line between Canvas Mode and other models such as the O1, indicating that future features may not integrate with either of them.
AI News Updates: A Glimpse into the AI World
While Canvas Mode takes strides, elsewhere in the tech world, Google is in the process of refining Gemini’s AI image generator. This development will bolster the tool with new editing features in its fresh Android beta version. Concurrently, Foxconn and NVIDIA are collaborating to build the largest supercomputer in Taiwan, the Hon Hai Kaohsiung Supercomputing Center. Adding to the victory of AI advancements around the globe, Geoffrey Hinton and John Hopfield have been awarded the 2024 Nobel Prize in Physics for their groundbreaking work in artificial neural networks.
Canvas Mode: A Step towards Augmented Intelligence
The progress in AI is veering towards the development of augmented intelligence, which seeks to amalgamate human and artificial intelligence. This fusion aims to uplift our processing capabilities. Conventional large language models had a daunting limitation as they weren’t as cooperative as expected. In contrast, Canvas aims to be more interactive, reducing repetitive back-and-forths and arduous manual adjustments.
Canvas Mode's Future: A Global Rollout on the Cards
Canvas Mode is currently available to all ChatGPT Plus users and may soon be accessible to free users once it fully sails out of beta. OpenAI has been known to stagger the rollout of new features, so it might take some time for this interface to become mainstream.
Canvas Mode as a Standalone Feature
Canvas Mode isn’t simply an additional element but a separate entity that cannot be toggled during a session. It is advised to start all chats in GPT-4 with Canvas Mode unless using specific models like the reasoning model "strawberry lot."
Integration: The Foundation of Canvas Mode
Canvas isn’t designed to work in isolation. Instead, it is architected to integrate seamlessly with capabilities like browsing with Bing, advanced data analysis, and DALL-E, thus distinguishing ChatGPT from competitors like Anthropic Claude and Google Gemini.
Significance of Inline Editor: Less Repetition, More Creativity
The introduction of an inline editor within Canvas Mode allows for parallel collaboration, flagging a significant beginning towards augmented intelligence. This feature efficiently minimizes the need for repetitive prompt engineering thereby enhancing creativity and ease of use.
To conclude, OpenAI's new Canvas Mode introduces the pursuit of unprecedented augmented intelligence to humans. Businesses can leverage this technological leap for better collaboration and innovation. Opportunities to interact engage, and innovate with AI are expanding, and Canvas mode is indeed a game-changer in this evolving landscape.
Topics Covered in This Episode
1. Overview of Canvas Mode
2. Technical Details of Canvas Mode
3. Using Canvas Mode for Coding
4. Live demo of Canvas mode
5. Canvas Mode Feature Comparison
Podcast Transcript
Jordan Wilson [00:00:16]:
OpenAI just released its new Canvas mode a few days ago, and it's undoubtedly impressive. So Canvas is a new mode inside of ChatGPT that changes and, I think, improves a way, like, how you and ChatGPT can write and code together. But I think everyone's caught up on comparing it to a similar collaborative feature in Anthropic's Claude called Claude artifacts. And in doing so, I think everyone's missing the bigger picture with Canvas. It's actually a significant step forward in how humans and AI will work together. So I'm going to show you that and tell you the 5 most important things that you need to know about this new Canvas feature inside of ChatGPT. What's going on y'all? My name is Jordan Wilson, and welcome to everyday AI. Before we get started, I have to give a shout out to our partners from Microsoft.
Jordan Wilson [00:01:14]:
So the WorkLab podcast from Microsoft is made for leaders who want to understand the future of work. It offers expert insights in everything from how to approach digital transformation to what it takes to thrive in the AI area. That's worklab, no spaces, available wherever you get your podcast. Alright. Thanks to our partners at Microsoft, and welcome to Everyday AI. Like I said, my name is Jordan, and this Everyday AI thing, it's for you. This is a daily livestream podcast and free daily newsletter helping us all learn and leverage generative AI to grow our companies and to grow our careers. And if I'm being honest, I think ChatGPT's Canvas mode is a great place to do that.
Jordan Wilson [00:01:56]:
I have been very impressed, and like I said, we're gonna gonna get started here in a minute and tell you everything that you need to know about it. But before we do, let's start as we do every single day by going over what's happening in the AI news. So Google is, reportedly going to be enhancing Gemini's AI image generator with some new editing features. So the new Android beta version of the app allows users to make small tweaks to images generated by Gemini, improving customization. In a demonstration by Android Authority, users could easily change elements of an image, such as swapping a regular hat for a birthday hat on a generated image of a dog. I'm pretty sure that was something I did, like, 6 months ago. So while this feature is still in beta in the new version of Google Gemini, the early feedback suggests that the edits may not be as precise or as reliable as you thought. So this update positions Google Gemini as a formidable alternative to other popular AI image generators like ChatGPT's DALL E and Midjourney, which are constantly evolving with new tools and updates.
Jordan Wilson [00:03:05]:
Also, right now, this has just been kind of leaked out in the Android version, so nothing on the desktop yet, but presumably that will be coming to desktop. And with Apple Intelligence's image playground set to launch soon, you know, expect more out of Google and Google Gemini. I actually really love their new Imagine 3, model, but that hasn't fully made its way to Gemini yet. Our next piece of AI news, Foxconn and NVIDIA are teaming up to build Taiwan's largest supercomputer. Talk about a super duo there. So the new supercomputer is named the Hon Hai Kaohsiung Supercomputing Center. I probably got that wrong. I apologize.
Jordan Wilson [00:03:45]:
And it'll utilize NVIDIA's Blackwell GPU architecture and feature 64 racks and 4,608 tensor core GPUs. That's a lot of compute. My gosh. So with an anticipated performance of over 90 exaflops, this supercomputer is expected to become the in Taiwan, significantly enhancing AI computing capabilities. So construction is already underway with the first phase expected to be operational by mid 2025 and full deployment targeted for 2026. The integration of NVIDIA technologies such as NVIDIA's Omniverse and Isaac Robotics platforms will further enhance manufacturing processes and AI applications. If you didn't know, Foxconn is the world's largest electronics manufacturer known for providing a wide range of products to top technology companies. Alright.
Jordan Wilson [00:04:37]:
Our last piece of AI news for the day, Geoffrey Hinton and John Hopfield have been awarded the 2024 Nobel Prize in Physics for pioneering work in artificial neural networks. So the Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize in Physics to Geoffrey Hinton and John Hopfield. So Geoffrey Hinton and Hopfield are jointly, honored for their foundational discoveries that enable machine learning with a with, artificial neural networks dating back to the late seventies and early eighties. Hinton is often referred to as the godfather of deep learning and developed the back propagation algorithm, a crucial method that allows neural networks to learn from errors, significantly enhancing AI model training. Hopfield is recognized for creating the Hopfield network, which mimics human memory, processes, and illustrates how biological and physical principles can be applied to computational systems. The Nobel Prize includes approximately $1,000,000, cash prize, which will be shared between the, the 2. And, yeah, this is pretty big for, these 2 people in AI to be winning, the Nobel Prize. Alright.
Jordan Wilson [00:05:53]:
Let's get straight into it and talk about ChatGPT's new Canvas mode. We're gonna do an overview, talk about how it compares to Claude artifacts, but, more than anything, I'm gonna tell you the 5 things that you really need to know, because I think people are overlooking what this actually means. I I I think people have really just been caught up on comparing it to, a a feature inside of Anthropic's, Claude called Artifacts, and I think everyone's missing the point. Alright. So let's get into it. Hey. Thanks everyone for joining. So Jackie and Jason, sabbatical life, Steven, Rolando, Tim, Josh, I'm not AI.
Jordan Wilson [00:06:38]:
Although, I do have an AI clone from hour 1. Alright. But if you guys have question about this new, Canvas mode from chat gbt, please let me know. And you you guys wanted this. I asked in my newsletter, said, hey, what is tomorrow's hot take Tuesday show gonna be? You all said you wanted to hear this, so here we go. Here is Canvas. Alright. So this was just released a couple of days ago, and I'm gonna read just a couple excerpts from OpenAI's website.
Jordan Wilson [00:07:06]:
I'm gonna give give you all the kind of marketing speak, and then I'm gonna cut through it and, tell you how it actually works. And, you know, we'll probably actually do something live here too. So here's Canvas. OpenAI says we're introducing Canvas, a new interface for working, with ChatGPT on writing and coding projects that go beyond simple chat. Canvas opens in a separate window, allowing you and ChatGPT to collaborate on a project. This early beta introduces a new way of working together, not just through conversation, but by creating and refining ideas side by side. Canvas was built with GPT-4o and can manually be selected in the model picker while in beta. Starting today, we're rolling out Canvas.
Jordan Wilson [00:07:53]:
So this is last week. Starting today, we're rolling out Canvas to ChatGPTplusandteam'suserglobel Teams users globally. Enterprise and ED users will get access next week. We also plan to make Canvas available to all ChatGPT free users when it's out of beta. Alright. And here is, I think, something that people are kind of overlooking. So a little bit more on the page. They said, we trained GPT 4 o to collaborate as a creative partner.
Jordan Wilson [00:08:20]:
The model knows when to open a Canvas, make targeted edits, and fully rewrite. It also understands broader context to provide precise feedback and suggestions. So that should tell you a pretty decent amount there, just the marketing speak from OpenAI, but one thing to pull out there, this is not just GPT 4 o with a little feature on top. It has been trained, seemingly from the ground up. Yes. It is based on OpenAI's, kind of newest model, their newest general purpose model, GPT-4 o. That's important to make a distinction here because a lot of people are wondering, like, oh, what about the, you know, the newest model, the the reasoning model, strawberry, called the o one preview o one mini. Well, that's not really what Canvas is for, and I think people are kind of missing that point.
Jordan Wilson [00:09:14]:
I think that we're not going to see. Right? All of these new chat gbt features, I do not expect most of them to ever work with the new o one model. It's because it's a different class. Right? This is not a GPT model, the o one model. It is the open AI o one model. So so many of these tools that we talk about, right, browse with Bing, advanced data analysis, and now Canvas are not going to be available and can't be used in the o one model. So keep that in mind. Gbt 4 o is still, by all benchmarks, the most capable model in the world, right, aside from the o one model, but it is the most capable general purpose model in the world.
Jordan Wilson [00:09:55]:
Alright. So the biggest thing here that OpenAI and everyone is really pushing is better coding in content creation. But I think it's so much more than that. It's not just about you, the human, creating something. Right? We've had ChatGPT and other large language models now for almost 2 years, right, since the ChatGPT moment of November 2022, then everything else kind of, shortly followed thereafter. So I don't think this is necessarily even about better coding and content creation. I think the biggest thing of what people are missing here is this is a huge step, in my opinion, toward this concept of augmented intelligence. Right? We talk about, you know, human intelligence, artificial intelligence, and then that thing that happens in between, augmented intelligence.
Jordan Wilson [00:10:46]:
And I think by default, to get augmented intelligence, it's been a little tricky with traditional large language models because of the interface and how they work. Essentially, it's more of a back and forth. It's not truly collaborative. Right? If you prompt something inside of chat gbt, as an example, maybe you need an outline, for a, marketing case study that you're working on, and you need an outline, and you're uploading a transcript, and you need an outline. Right? And it got pretty much everything right, and there's 10 points in the outline, but, number 2's wrong, number 7 needs updated. Right? So generally, what you would have to do is you would have to explain that to ChatGPT or any other large language model. And what would generally happen is it would cause either a lot of back and forth or you maybe copy that information, you paste it, into a word processor. Right? Microsoft Word, Google Docs, something like that.
Jordan Wilson [00:11:43]:
You gotta change all the formatting, and then you from there, you're like, okay. Well, I'm just gonna manually change this. Some of these things are wrong. So in the end, know, people are always like, well, was it even faster? Right? So this new in line editing, I think, is the biggest thing, inside of ChatGPT's Canvas, and we're gonna show you examples of actually what that means, and we're going to do this live. But let's start with some facts. Alright. I don't know. Hey.
Jordan Wilson [00:12:11]:
Question here. I don't know when ChatGPT will get the Nobel prize. We'll see. Alright. So let's go over the 5 things you need to know. So talked about one of these things already, but number 1, right now it is available to all ChatGPT plus users, and maybe free users will get access after beta. Right? You know, take take all that with a grain of salt. You know, OpenAI's rollouts can be very slow.
Jordan Wilson [00:12:39]:
Right? We've all seen that. So if you're a free user of ChatGPT, I honestly would not expect this anytime soon. So if you wanna use it, you might as well just get on the paid plan. The second thing that you need to know, Canvas is its own mode. Okay? You can't be like I said, you can't use Canvas inside when you're using, ChatGPT o one model. You can't start a conversation in a different mode and then switch it over and say, oh, I want to use Canvas. If I'm being honest, I haven't seen a downside yet. I don't see a reason not to just move all of your chats or to start all of your new chats in the new GPT 4, with Canvas mode.
Jordan Wilson [00:13:20]:
I like I said, unless you are using and you want to use the new reasoning model, the strawberry lot model, a one preview, a one mini, in which case you would start a chat there. But otherwise, I I I do believe that you would just always start your chats with Canvas whether you think that you're going to need them or not versus using, right, the legacy model gbt4 o, gbt4 or using even the newest model, gbt4 o. To me, there's no reason to use the GPT 4 o mode, when you should probably just be using the GPT 4 o with Canvas for everything. Alright. Here's here's the other part that you have to keep in mind. It works with other tools. Alright? And this is where I think ultimately, ChatGPT has separated itself, from, Anthropic Claude, from Google Gemini, and even from its, you know, kind of brother technology in Microsoft Copilot, at least Copilot for the web, is because it can use all of these other features, and it does it very well. So browse with Bing, the availability to, browse the Internet and direct it to browse the Internet.
Jordan Wilson [00:14:27]:
Right? Because when you're using ChatGPT, you need to make sure all the information that you're using is up to date and not from 2023 or 2022 or even earlier. So being able to still use browse with Bing, advanced data analysis, DALL E, etcetera, being able to use all of these inside of the new Canvas mode is pretty big, and do not forget about that. Number 4, the 4th thing you need to know. This is not a carbon copy of anthropic Claude's artifacts. Alright. Let me just put the facts out now. Everyone's like online. Oh, OpenAI is copying anthropic Claude.
Jordan Wilson [00:15:02]:
Not really. You want receipts y'all? The the the new artifacts feature from Claude, it's fantastic. Right? And, essentially, it is a side by side editor where you can talk with ChatGPT or in the fact or in the case of artifacts, you can, talk with the model on the left hand side. And then on the right hand side, in addition to carrying the conversation on the left hand side of the chat window, it's going to execute an action on the right side. Right? So in the case of Anthropic Claude, the biggest differentiator there is it can render code, and that's huge. And Canvas cannot render code. Right? It can write code. It can collaborate.
Jordan Wilson [00:15:45]:
It can debug code. It can do all those things, but it cannot render it. Right? Whereas in artifacts, from Claude, you could, as an example, write an entire website. Right? You could drop in a screenshot of a website. You could say write this in, you know, HTML, CSS, and JavaScript, and then render it. And then the website will actually be there, like, you just built an entire website. So that is what I think is a main differentiator when people are making this comparison, and let's also call a spade a spade here, y'all. CheckTBT is not copying Anthropic Cloud with this feature, because receipts.
Jordan Wilson [00:16:19]:
Who was technically first with this split interface? Right? With interacting, with a model on the left side and carrying on a conversation, and then on the right side, the model does something for you. Oh, that was OpenAI with their GPT builder back from November. Why is everyone forgetting about that? Right? Everyone's blindly saying, oh, OpenAI is they're just a copycat. They just copy and pasted, you know, everything from Anthropic. It's 2 different tools, number 1. And number 2, OpenAI was first to this kind of left, right, and having the AI build something for you while you talk to it on the left side. That's been there in the GPT builder since November 2022. It's it's it's so funny.
Jordan Wilson [00:17:00]:
People, you you know, go wild on the Internet and, you you know, make all these wild, yeah, accusations, and it's like, y'all, like, this wasn't a secret. This has happened. Right? The GPT builder has been there for, like, a year. Alright? So this is not some carbon copy. Alright. And then number 5, which I think is the biggest one, the inline editor. The inline editor is what I think puts, ChatGPT in a league of its own. This is what I think, at least for the big large language models.
Jordan Wilson [00:17:30]:
This is, I think, the biggest first step toward this concept of augmented intelligence. I know. I hate the concept. It's a cheesy word, but it's the truth. Right? Because every other large language model, essentially, it's just you and the model screaming back and forth at each other. Even in Claude artifacts, I was using artifacts last night. Don't get me wrong. I love it.
Jordan Wilson [00:17:49]:
But it kept making these small little mistakes. And then you have to do, essentially a bunch of prompt engineering, so much extra typing, a lot of extra copying and pasting, because it feels like, oh, this this AI is so smart, but it's getting this one thing wrong. Right? Because in in in certain aspects of the word collaboration, you're not actually collaborating, you're just directing. Right? And then the the model spinning things out where this inline editor and being able to literally work alongside in real time with chat gbt, I think, in the Canvas mode is the biggest step toward augmented intelligence. Alright. Let's quickly go over, let's, hey. Hey, Philip. Let me know.
Jordan Wilson [00:18:34]:
Philip said chat gbt can't do this. You might have been responding to someone else, but let me know what you're what you're talking about there. Alright. So here is the mode selector. So, for our podcast audience, very simple. When you go into your ChatGPT, account, again, assuming you are on a plus account, you're gonna see a new model selection screen. So like I said, for the most part, I don't see a reason to, ever not start, in 4 o with Canvas, versus just 4 o. So make sure you always, start with the right model, when you get going.
Jordan Wilson [00:19:11]:
Alright. So that's kind of a a a combination of number 1 and number 2. It's available right now to all Chat gbt plus users, and it is its own mode. Number 3. So I I I have an example here. Alright. So I'm using now chat gbt 4 o with Canvas. I have a screenshot here.
Jordan Wilson [00:19:28]:
And I said, please use browse with Bing to find the 10 most popular cities in the US in 2024. Alright. And, you'll see here, this is an example of using the other tools, and that's important, mainly because at least if you're comparing trying to compare apples and banana chips here with Claude artifacts, Claude can't really use any other tools aside from artifacts. Right? It can't access the web. There's no image generation. There's a lot of, essentially tools, that ChatGPT has that claw doesn't. Alright. So you'll see in this case, even in the Canvas mode, it went and used browse with Bing.
Jordan Wilson [00:20:04]:
It pulled, a list of the 10 most populous cities. Alright. So before we get going, there's a lot more. Gotta shout out WorkLab. So the WorkLab podcast from Microsoft is made for leaders who want to understand how work is changing. Effective leaders adapt. They stay on top of trends. They embrace any edge they can get.
Jordan Wilson [00:20:29]:
Effective leaders also know that the key to understanding artificial intelligence is to get better at understanding human intelligence. So for real world lessons and actionable insights to help you stay ahead, check out the WorkLab Podcast. That's WorkLab, no spaces, available wherever you get your podcasts. Alright. Thanks a lot to our partners from Microsoft. Some great episodes that have already dropped. I've I've really enjoyed them. Alright.
Jordan Wilson [00:20:54]:
Let's get back to it. Number 4. So, it is not a carbon copy. Canvas is not a carbon copy. I already talked about this, but I wanted to show an example of something you can do inside of Claude artifacts because it it it has, obviously, its own benefits that Canvas mode does not have. So in this example, I took this same information. Right? We're just doing a simple, a simple explanation here where we're taking these 10 cities, right, the 10 most populous cities in the US. And I also think, by the way, if you ask Claude, you get something different because it's using all the information.
Jordan Wilson [00:21:29]:
Alright. And then I essentially say, use Claude artifacts. Please create an interactive graph with this data that you can click around on. Right? Nothing crazy, but essentially, what Claude artifacts can do is it can do a lot of business intelligence. It can create interactive dashboards. It can create, you know, it can render code. Right? You can run Python code. You can create websites.
Jordan Wilson [00:21:52]:
You can, do so many things by rendering code. That is the main benefit of artifacts. There is no collaborative true collaborative feature. There is no ability to add it in line. That's why I think. Artifacts in Canvas are 2 completely different things. I've if I'm being honest, I only put this in the title so I could set the record straight. These are 2 very different things.
Jordan Wilson [00:22:18]:
So we should probably stop after you listen to this. We should probably stop comparing them. Just because they share a left to right, you know, interface and, you know, you can kind of direct the model to go do something while still continuing to chat with it separately on the left hand side. That does not make these two things the same. Alright? And anyways, Claude artifacts created a nice little interactive graph, right where I can scroll. You know, it gave me the top 10 cities and I can hover over, and it does this little animation, and then it pops out. Right? I hovered over Chicago, and then it, you know, gave me Chicago's actual, you know, population. So that's essentially what Artifacts does.
Jordan Wilson [00:22:56]:
That is not Canvas. Alright. So let me give an example of Canvas, and then we're gonna jump in live. And again, if you have questions if you have questions, let me know. Alright. I think, Philip, I finally got your question. Sabbatical life, I'll get yours too. Don't worry.
Jordan Wilson [00:23:14]:
Alright. So here's an example of using Canvas and how I think this is completely different in a very refreshing feature for working with AI. So in this exact same example I did earlier where I said, hey. Give me the 10 most popular cities, use browse with Bing. It spit it out. Now I can go in there, and I can edit it. Right? Whereas before and with every other large language model, you can't go in and click and start typing yourself. Right? So, essentially, what we get with Canvas is, well, we get a Canvas.
Jordan Wilson [00:23:51]:
Right? It is aptly named. You get a Canvas you can go write on. You can go collaborate. You can essentially, you know, leave a note to you know, the way I do it is I leave a note to chat gbt. I copy it, and then I paste it in. So in this example, you know, you do have to, FYI, in order to highlight something, something has to be there. So you can't just have a blank space. So you can put a a couple words or a couple symbols, but then you can highlight it, alright, in the middle of the content.
Jordan Wilson [00:24:22]:
So here in this example, it wrote something short about Chicago. I'm from Chicago. Right? So I'm like, hey, this list needs some improvement. So I just typed a little something, then, I said to chat gbt. I essentially said, awesome. Let's make sure people know that Chicago is way better than these other cities. I said, mention the deep dish pizza, and that Chicago was voted best city for 8 years in a world from Conde Nast Travelers. Alright.
Jordan Wilson [00:24:48]:
So then when I click enter, everything else stays the same. Go back to that theoretical example I gave you. Right? You're using chat gbt or any other large language model to outline a a marketing case study for, a client. Right? And it has 10 points, and it gets a couple of them wrong. So you either have to do a lot of prompt engineering and say, oh, you know, please keep everything else the same. Number 2 is wrong. Let's update 8 in this way, but it might spit out a lot of different things. Right? Or, like I said, you have to manually go in and then, you know, change everything by hand and maybe you're just wasting time.
Jordan Wilson [00:25:20]:
So by just being able to highlight and do inline editing and to work with ChatGPT in the Canvas or in the body, that's huge. Right? And then ChatGPT spit this out. Again, it kept everything else the same. It didn't rerender everything, and then it put in there, it said, you know, talked about some of the updates that I made. Alright. So hey, Josh. Josh is saying thanks for joining from YouTube, Josh. Josh is saying fantastic breakdown.
Jordan Wilson [00:25:51]:
This will actually save me so much back and forth, between GPT. Yeah. Alright. So let's look live, y'all. Let's do this. Hey. If you have a if you have a suggestion, let me know. I'm just gonna go with, whatever's on the top of of my head unless you get something here in the next, 10 seconds of something that we wanna work with, here inside of, ChatGPT.
Jordan Wilson [00:26:13]:
So, as as an example and podcast audience, I already talked about this, but, you know, usually, ChatGPT will default to the last mode that you used. Alright? So make sure that you go in when you're starting a new chat here and go to GPT-4o with Canvas. Alright. And then everything is pretty much the same. Alright. I don't see anything yet in the live stream comments, so here we go. I'm gonna say, you know, please give me a list of the 10, most popular large language models in 2024, and I'm gonna say please use browse with Bing and, visit at least 8 different sites, all from unique domains. There's nothing more I hate than typing and talking live on the stream because, you know, I got my my, dinosaur arms to, you know, type like this.
Jordan Wilson [00:27:08]:
I gotta type like this because how my desk is set up. Alright. So now you'll see I gave you an example. I went in. I'm starting a a chat. Let's just say for whatever reason, you're writing a blog post for the 10 most popular large language models in 2024. Right? So I told it to use browse with Bing because I want up to date and accurate information. I told it to go to 10, you know, or look at 8 different sites, get information from 2024.
Jordan Wilson [00:27:32]:
I can click down. People don't know this. If you're if you're an avid everyday AI listener, you already got this tip. You know? ChatGPT is essentially a perplexity light if you know how to prompt it correctly. Right? If you tell it, the the most that I've seen it do consistently is about 8. So let's see. It did 1, 2, 3, 4, 5, 6, 7. It went to 7 different sites here.
Jordan Wilson [00:27:54]:
Not bad. So now it said based on an extensive review of multiple sources, here's a list of the 10 most popular large language models in 2024. So give me a list here. So it said alright. And now my okay. So it said, g p t four o, Claude 3, llama 3.1, Gemini 1.5, palm 2, mystral, Orca, Lambda, Lambda, Galactica, Bert. Alright. So, so here's so you might be saying, like, okay.
Jordan Wilson [00:28:30]:
Well, where is this? This is why I tell you guys, you know, hey. Here's the marketing speak from OpenAI, and here's how to actually use it. Because in this case, even though I'm in Canvas, it didn't use Canvas, because the model decided that for my prompt of the 10 most popular large language models in 2024, that it didn't need to use Canvas. Okay? So you still, in many instances, need to call out the model, alright, or the mode even though I'm in Canvas. So I'm starting a brand new chat. And so at the end and I wanted to show you this, because the thing that people don't understand, large language models are generative. You can run the exact same prompt 10 times. You might get 9 different responses, you might get the same pretty much similar thing over and over.
Jordan Wilson [00:29:18]:
So you could run that same prompt inside of Canvas mode. You might get Canvas to show up once, you might get it to show up 8 times, but if you call out to it, it will show up. So now I'm just doing the exact same prompt, and then at the very end, I'm I'm going to say use Canvas for this chat. And now, at least in my testing, 9 times out of 10 when you say that, it will actually use the Canvas mode. Obviously, ChatGPT knows. It knows I'm on a live stream now, and it's giving me some problems. Alright. Here we go.
Jordan Wilson [00:29:49]:
So now our live stream audience, you'll see this, and let me describe this, for, our podcast audience at home. So if you're an, an avid user of ChatGPT, you'll kind of understand, kind of the setup here. Alright? So I'm I'm I'm gonna go compare this in a normal chat, because, it can be easy to miss. Okay? It can be easy to miss. So when you are in a normal chat, it depends on if the sidebar is out or not. Alright. But otherwise, you just have kind of this middle zone, and then you can toggle the sidebar out, which has all your most recent chats. But when you are in Canvas, it does look a little bit different.
Jordan Wilson [00:30:31]:
I wish there was actually a little bit more, kind of UI UX, to to kind of quote, unquote let you know that you're in Canvas. But essentially now, my bar to chat with ChatGPT has shrunken. Okay? And normally, you are kind of quote, unquote chatting with ChatGPT in the middle, in the big area. When you activate Canvas so now when I said, you know, at the end of this prompt, I said use, I said use Canvas for this chat. It did bring up Canvas. Okay. A couple things. So I can go and close out of Canvas mode and keep this chat going.
Jordan Wilson [00:31:12]:
Okay? So when you close out of Canvas mode, you'll see now I'm in the normal chat view, and then I can just click back on Canvas. It does look similar, to, Claude artifacts, and how you can click on an artifact to then launch it. Again, I wish there was a little bit more kind of a UI UX, hint that, oh, you you know, especially for new people, here's where your Canvas is. Alright? But then I can just click back on it. Alright? And now I can speak with ChatGPT on the left, and I can have it update. Or the big thing here. Okay. So now I'm back, and and hey, it did give me some different models on the second run.
Jordan Wilson [00:31:54]:
Right? So now it gave me, SONAR 3.1 from Perplexity as an example. But you'll see. Okay. Now I have a Canvas, and I can go over here. So as an example, GPT 4 o. Okay. So I noticed that it didn't bring in o one. Okay.
Jordan Wilson [00:32:11]:
So I'm gonna click enter, and the great thing is this even works better than some text editors. Right? So I went to the end of point 1, which was g b t four o. I hit enter, and then it automatically made that point 2 and adjusted every other point. Right? So this has some of the basic features like a standard word editor, which I love. So I noticed in the list, it didn't bring in the new open open AI o one model. So I'm gonna type in open AI o one. Okay. I'm just gonna copy and paste this, and then I'm going to, when I do that, when I highlight text, I get this new thing that says axe ask ChatGPT.
Jordan Wilson [00:32:49]:
Okay? And then I I I also when I highlight any text, you also have some basic editing features, bold, italics, and some other text formatting issues. So you can also get this same AskChatGPT. When you just click on a paragraph, usually it'll, pop up on hover. It doesn't work as well. I'm actually in Safari right now because my Chrome and my Edge are being a little weird. There we go. So normally if you hover over the paragraph and you go to this right side, you'll see this little icon. It looks like a chat bubble with a plus button.
Jordan Wilson [00:33:24]:
That is the same thing as asking ChatGPT. So the difference here, right, I can go and work with ChatGPT in line. Alright. So like I said, I entered number 2. I'm gonna click ask ChatGPT, and I'm gonna say, please add open a I o one, to this list. I actually haven't done any testing yet of, in Canvas calls to browse with Bing. So I assume this will work, but I'm gonna say use browse with Bing to find info from October or no. I'm gonna say from, September or October 2024 about o one preview and o one mini.
Jordan Wilson [00:34:09]:
Okay? So now you'll see in real time, chat gbt. You can see on the left side, it was, researching, and then on the right side, in real time, it updated. Right? I just put in a little bullet point, and then ChatGPT went out, filled it out, did some research. Right? I can go down here and look at the sites that it used. Alright. It's good. And it kept everything else the same. Y'all, I know this seems small, but this is big.
Jordan Wilson [00:34:40]:
This is a big step forward in how we all work with AI systems in large language models. Right? We've seen this in the announcement, the Microsoft wave 2 announcement with Copilot pages. Very similarly, right, how you can essentially create pages collaboratively, but pulling, pulling information from Copilot. So this is kind of similar. There's some, some nuances and some intricacies that are a little bit different with this new Canvas mode, but, I just gave you a simple example there. Right? So maybe me, the human, wants to take over. Right? So I can go ahead and click this, and let's say, I'm gonna go down. I'm gonna delete, you you know what? I'm actually gonna copy SONAR.
Jordan Wilson [00:35:21]:
I'm gonna delete, the rest. I'm gonna go up to, let's see, number 8 here. So I deleted, you know, 11 through 8, and I pasted SONAR in, and I'm gonna say so I copied it. I'm going to ask chat gbt. Again, I'm in the Canvas editor, and I'm gonna say, look up information from September, October 2024 about sonar 3.1. I'm gonna say add it to the list with more detail. Alright? Because I didn't think there was enough detail in that sonar, sonar 3.1 from perplexity. And I'm and then I'm gonna say, please end here, and this will only be a top eight list.
Jordan Wilson [00:36:07]:
Alright. So this information, I didn't tell it to use browse with Bing, but in most cases, when you say look something up, and if it's not in its knowledge base, it will do a pretty good job. Alright. So you'll see right there oh, I forgot to hit, delete on that, so we actually have a top seven list. So I hope this kind of live demo of the inline editor is helpful. And, hey, if you are on the podcast, this is one of those. Hopefully, I did a decent enough job of talking you through this, but I can still make large scale changes on the left side, in the traditional chat side. So I can now I'm going over, and I'm saying, like, this is great.
Jordan Wilson [00:36:46]:
I'm gonna say, please use browse with Bing. Do more research, and put, 3 use cases under each of these. How many, we have 7 or no. How many do we got now? Looks like we have a little editing error here. There we go. Under each of these 7 top LLMs. Alright. So I can still do kind of, quote, unquote, normal, chatting with ChatGPT.
Jordan Wilson [00:37:16]:
And in this case, it's going to so it's going through, and you'll see in real time, it's updating my document. Right? So I can see it's going through 1 by 1. It's adding. It's highlighting and deleting. It's literally like watching a human work. So it's going through. It's updating all of these based on this new, search that it just did, and it just put in 3 use cases. So I saw in this case, we keep getting this little formatting issue, which isn't a big deal.
Jordan Wilson [00:37:46]:
Alright. There we go. So now we have our list of top 7 large language models from 2024, and then for each one, we have, kind of sub points of, use cases. Alright? Pretty cool. So is this great for coding? Absolutely. Right? I do know this show though. It's for the everyday person. So, yes, you can go through and code.
Jordan Wilson [00:38:11]:
I think that there's great applications. Let's just do one more, quick run through of the interface here, because that's not all. This isn't just an inline editor, so thank y'all. This is like working in Google Docs. And if I'm being honest, I try to give, you know, Gemini a shot, inside of Google Docs and Google Sheets. I just don't like it. Obviously, Copilot is fantastic, you know, working inside of Microsoft Word, but this is a a new, interface, and I think a new experience for large language models by default. And I do think that this is going to, set the stage going forward.
Jordan Wilson [00:38:48]:
So let's look at a couple other of these kind of inline features. Alright. So there's a new icon, over here in the lower right hand corner. It's very minimal. Right? Maybe you just jumped in and you you didn't even see this. Alright? So there's a new editor, so I can hover over and there's some options. Add emojis, I would say never use that. Right? I'm gonna click add emojis.
Jordan Wilson [00:39:11]:
It's gonna put in, like, a 1,000 emojis. Alright? So I click the add emojis button. It does the same thing. It's gonna show a flash. It's gonna, like, give you, like, 8,000 emojis, which is terrible. Alright. The good thing is, like most editors, there is kind of, an undo button. Alright.
Jordan Wilson [00:39:34]:
So there we go. It went through. It added a 1,000 emojis. That's terrible. The upper right hand corner, get used to this. You're gonna need it, because it it it is a little, it takes time getting used to working with chat gbt in this Canvas editor. So I can just go up there, click previous version. I can click back, I think it's back to the latest version.
Jordan Wilson [00:39:57]:
Oh, no. Restore this version, and it should go back. Alright. Now now, of course, it's being, it's being it's being bad. I thought that's how I did it. I swear I did this, you know, a couple of times. Alright. Well, regardless, let me see if I can go up here.
Jordan Wilson [00:40:18]:
Y'all let me get out of this. Let me scroll up. Alright. There we go. Well, a little a little bit of a bug. Little bit of a bug here. Alright. Last time I did this, I went to the previous version.
Jordan Wilson [00:40:33]:
I restored the previous version. It worked without the emojis. I swear I test all this stuff before we get going here. Alright. But for now, we're just gonna have to work with the ugly emojis. That's fine. Alright. So now let's see.
Jordan Wilson [00:40:46]:
I'm actually seeing if I can click add emojis again or take take away emojis. This worked yesterday. Yeah. I did. I I I clicked undo until it disappeared. It didn't work. I'm gonna edit it once more, and then we'll see if that, see if that works. Yeah.
Jordan Wilson [00:41:07]:
The edit button isn't quite the same as a normal, Word editor. Right? Because when you click undo, you get this, message, you are viewing a previous version. Restore this version to make edits, and you can restore this version or back to the latest version. So, yeah, I'll keep going back to the latest version. Hopefully, there will be a timeline kind of feature soon. So I'm just gonna say take away the emojis. We'll see if I can do it with with a prompt. Yeah.
Jordan Wilson [00:41:35]:
I think the emojis were actually a joke. You you know, CEO Sam Altman put something out there on Twitter. Like, are emojis, like, the best like, are they your favorite feature? Yes or yes. So don't use the emojis button. I should have skipped over it. Alright. Next, add final polish. Alright.
Jordan Wilson [00:41:51]:
So that is a button. It's gonna go through. It's going to essentially analyze your writing from a different point of view. I hope that in the future, you can kind of customize these a little bit, because what does final polish mean? Right? But essentially, it does it every time, and I think for the most part when I'm comparing content before or after using this use final polish, generally it's better. And then on the left hand side, it says, I've polished the text ensuring consistency, clarity, and proper formatting. The document now includes section titles, improved grammar, and a clear presentation of each language model. And I can click that again. So in theory, right, it might get to the point though, it's like, oh, this is too polished.
Jordan Wilson [00:42:34]:
And it depends on what you're using this for as well. It depends also on, how the content was before you started to kind of quote unquote polish it. Alright. So maybe if you wrote half of it and you click polish, maybe it's gonna add a bunch of delves. Right? So my individual mileage will vary. Alright. Let's look at a couple more of these. So you can add fine, final polish.
Jordan Wilson [00:42:58]:
The reading level, I love. So it has a slider. Okay? So if I slide it up, it's going to write it like graduate school. Right? So, maybe you wrote something and you're not the best writer, and you're like, I need this to sound a little fancier. This is going to a board, but all my all my points are sound. Right? So now it's going through, and it's updating all of our content, to make it more graduate level. Right? So now the overview of the top LLMs of 2024 says, the accelerated evolution of large language models is profoundly transforming numerous industries by providing sophisticated capabilities in natural language comprehensive problem solving and data driven analysis. I couldn't read that if I'm being honest.
Jordan Wilson [00:43:39]:
I hate that. So I can also go back to reading level, and let's bring it down. Let's go to let's go to middle school. Right? Let's go to middle school, and then I'll I'll read that same introduction, or overview to large language models. Ready? Large language models are becoming more advanced every year. They help people in all sorts of jobs do things better, faster, and with more accuracy. Here are the top LLMs of 2024 along with what makes each one special and what it can do. Hey.
Jordan Wilson [00:44:08]:
Elementary, like, elementary is great. Right? Alright. And then you also have, you can suggest the link so you can make it much longer. You can make it much shorter. That's a great one because I know so so many times people are reprompting, going back and forth, and in theory wasting time, try to make something longer, and they're like, oh, I need a 1,000 words. Guess what? Aside from the new o one model, large language models can't count words. So if you're trying to get, oh, I need 700 words for this, keep prompting because it's not gonna work. But this is just an easier way to make something longer or shorter.
Jordan Wilson [00:44:42]:
So I'm gonna click it all the way up to the longest, click the button, and again, you'll see, for our livestream audience. But podcast audience, I put it on the highest, to make it longer, and it is making it significantly longer. Right. So I'm gonna scroll down here to where number 7 started, and we'll see once it catches up. So that's where number 5 started. So I'm not great at math, but what? That makes it about, I don't know, 20 to 30% longer already, and then I can go in, I can do it, you know, keep cranking it up, etcetera. Alright. And then I can click suggest edits.
Jordan Wilson [00:45:16]:
This is great. Talk about having a human collaborator. So I can click suggest edits, and let's go to the top. Now it is literally highlighting where did our edits go? Alright. Cool. Another maybe I'm too maybe I'm too zoomed zoomed in. Let's try it one more time. Okay.
Jordan Wilson [00:45:40]:
So, hopefully, it stays this time. Yeah. Little buggy. This is in beta. Alright. So our livestream audience probably saw that. Our edits kind of popped up, and then they, and then they went away. That's okay.
Jordan Wilson [00:45:53]:
But essentially, this generally works. Obviously, when I'm doing these live demos, people always say, like, oh, Jordan, why do you do screenshots? Why don't you show us things live more? Well, when things are in beta like this, they get finicky. Alright? And then and then, it it's hard to show you, but this ask, suggest edits generally like a Word doc. It will highlight things, it will give you a suggestion, and then you can click apply. Alright. Let's actually do one more quick live demo, and then I'll see if I can, actually do this. So I'm gonna say use Canvas. I'm gonna say write Pong in Python.
Jordan Wilson [00:46:29]:
Alright. So now it's going to write the game in Python. Alright. So again, yes, this isn't just for, creating content. This isn't just a, you know, AI powered, document editor. Although I think that's how people should be thinking of Canvas. Alright. The big difference here, right, in artifacts, you could launch this and play this.
Jordan Wilson [00:46:50]:
You can't do that here. Alright. There's a different interface if you're coding. Okay? There's add comments, add logs, fix bugs, port to a language, and code review. So I can click code review, and it's gonna go and fix its own code. Right? I would really love if OpenAI gave a little bit more information on how this iterative, text or sorry, this iterative icon based prompting actually works. Right? Do all of these little icons have, like, a a a system prompt, right, where they're supposed to assume a slightly different role? Otherwise, it like you have to think. Right? If I can just keep clicking on this improve or this find bugs, you have to think.
Jordan Wilson [00:47:30]:
Okay. Well, is open a like is ChatGPT just putting in bugs if it's finding its own bugs? Or do these little icons kind of have a system prompt that tell them to kind of assume a certain role and to look at things a little more meticulously than, kind of the normal, kind of, system prompt. So I would love if we could figure out more information about how these work. Right? Because essentially, you can keep clicking fix bugs and you can keep finding bugs. So it's like, okay. Well, if chat gbt can ultimately fix all these bugs, why is that here in the first place? Right? So I click the fix bug button. You can go down line by line in the in the Python code and see as it changes things. And then you'll see on the left, it says, okay.
Jordan Wilson [00:48:09]:
I've reviewed the code and made the following changes, and it changed ball speed from a list to a tuple for immutability. I don't even know what that word is. Someone smarter than me tell me what that is. Right. But you can go through. It's gonna tell you what it actually changed. And then you can also do let's do the, what should we do here? We can do the add comments. Let's try that one.
Jordan Wilson [00:48:34]:
So in this, it's adding comments to the line of your code, which is super, super helpful. Alright. And then let's just do one more. Again, I'm not a big coder, but a lot of people are using this, for code review. Alright. So another one, I'm just clicking code review here, and it says I've added in, here we go. Let's see. I'm, like, timing out here.
Jordan Wilson [00:49:01]:
I'm, like, timing out. There we go. Alright. So now it's adding comments. Here we go. I don't know why my comments keep disappearing y'all. I swear they weren't doing this before, and I would love to, you know, display those comments live. And it's been working everywhere else.
Jordan Wilson [00:49:18]:
So, yeah, obviously, when I do the live stream. But generally, when you do the comment thing, it says, like, oh, consider, you know, changing, the speed from a variable to a set speed, and then you can click apply if you like it. If you don't, you can x out. So think like in, Google Docs, how you can leave a comment for someone and you can suggest something and it leaves them kind of a checklist. So you can just click the apply button, when you're doing these code or similarly when I went through the actual editor. Alright. Yeah. Hey.
Jordan Wilson [00:49:47]:
What Tara said? Demo demons. I agree. You know, hey. The next time someone out there says, hey, Jordan. Why don't you do more things live? Well, that's exactly why. This probably would have been a lot smoother if I would have just screenshotted everything, but luckily, I did a little bit of it in the beginning. Yeah. Thank you.
Jordan Wilson [00:50:04]:
Someone said live demos are hard. Yeah. This is y'all. This is unscripted, unedited, the realest thing in artificial intelligence. I don't have a team of, you know, 50 people who go out and edit this to make it look like, you know, stars and fairy dust. You know, this is this is live. Alright. Couple questions.
Jordan Wilson [00:50:20]:
Philip says, Jordan, what is your view on prompt engineering since the launch of Canvas, within chat gbt? That's a great question. Well, it's going to make things a little bit easier. Right? If anyone's taken our free prime prompt polish, you know, I kind of especially in the last couple of months, I said, hey. Prompt engineering has really changed since the o one model because a very, common way to kind of quote unquote prompt engineer is by using, chain of thoughts. Right? Or essentially commanding a model to think more like a human, to think through step by step. Right? And now the o one model kind of does that by default. With the Canvas mode fill up, that's a great question. I do think it changes it.
Jordan Wilson [00:51:03]:
Right? You know, even in our methodology, generally, we do prime, prompt, polish. In in our methods, this changes the polish. Right? It makes it much faster. It makes it better, I think, and more effective. I don't think priming is going to change it much, because that's where we kind of turn ChatGPT into a consultant. Right? People are always so quick in ChatGPT to immediately ask for an output. Even in this example, right, where I I said, hey, give me, you know, like, we're outlining the top 10 blog posts. I just ask for an output immediately.
Jordan Wilson [00:51:34]:
I would never do that if I was actually using, ChatGPT for a real purpose. I would go through, I would have a conversation with it first. I would turn it into a consultant. It would ask me, we would go back and forth before I ever told it to go, oh, give me an output. Right? But I do think this changes, things on the back end. It changes kind of the shot, this input output example pairing, that you should be giving models regardless of what you're working on. So I think it does make it more intuitive and faster, on the back end. Right? But again, it just depends on what you're using this new Canvas mode for.
Jordan Wilson [00:52:09]:
Alright. One one or 2 more questions. Sabbatical life asking, why browse with Bing? I must have missed that show. Yeah. We have tons of shows on that. You can go back and look on our website, your everyday ai.com. But, essentially, the short version, large language models are old as in the training data. Okay? It could be anywhere depending on what model you're using.
Jordan Wilson [00:52:29]:
Best case, some of that training data might be 6 months old. You know, as an example, October 2023, 1 year ago, is the GPT 4 o knowledge cutoff. Alright. So what that means is absolute best case scenario, you might be working with information in the, models training that's a year old. Generally, it's all much older. So, when you are creating anything inside of chat gbt, you know, we kind of call this mini rag. Right? Mini retrieval on minute generation, but you need to give, and we do this in our priming phase of prime prop polish. You need to give ChatGPT more up to date recent information.
Jordan Wilson [00:53:08]:
You can do that in a lot of ways. You can do use an Internet connected GPT, you can upload a file, you can copy and paste information, or you can use browse with Bing. For me, I like using browse with Bing. Targeted calls, right, saying, hey. Find information from September, October 2024 about this topic. So then that brings in more relevant, more specific information before you get started. Right? That's gonna save you a lot of time on the back end, by using browse with Bing. Marie says, when you create a website, where can you save it? Because when I need to make changes to the site, I'm able to recall the original site, and it will be updated.
Jordan Wilson [00:53:44]:
Okay. If you're talking about, coding, yeah, you can't render anything, inside of inside of the Canvas mode. So, yeah, you would have to and again, I'm I'm sorry. I'm not sure if that was the question, Marie. But you would, in theory, have to go copy all this information, and then run it in something like Replit. Right? So this is not the best, I don't think, for, coding still. Right? I love artifacts for coding. Even though, this this new Canvas mode, don't get me wrong, it's fantastic for coding.
Jordan Wilson [00:54:17]:
But for me, I like to see it rendered. Right? Especially if you're an everyday person, if you if if if you're not really a coder, right, you you might just be staring at this code on the page and be like, okay. Is this right or not? Well, in artifacts, you can actually run it, so you know if it's right or not. Right? And then, in the example of the Pong game, you can say, oh, the paddles are moving way too slowly. Right? But I wouldn't be able to manually look through the code and know that. And although the new Canvas mode is great to be able to iterate on that, you don't really know something when it comes to coding, until you actually run it. Even if you click the fix bugs, there could still be bugs. So you might not know even know what those bugs are.
Jordan Wilson [00:54:54]:
Alright. That is a lot of information y'all. I hope this one I hope this one was helpful. Alright. So we went over the 5 things that you need to know, the difference between, kind of this new Canvas mode and artifacts, the world's fastest recap. Here's the 5 things you need to know as we wrap up the show. Right now, Canvas is available to all Chat gbt plus users. It may become available to free users after it leaves beta.
Jordan Wilson [00:55:24]:
It's probably gonna be a while, so if you wanna use it, go do it. I would just sign up for the paid plan. Canvas is its own mode. Alright? You can't toggle back and forth. If you want to use this, you have to use it. And then like you saw in the demo, sometimes you have to actually call to the mode as well, and then you can kinda click in and out. And, yes, it's in beta. It's a little buggy.
Jordan Wilson [00:55:43]:
You guys saw that here in the live demo. Number 3, it works with all the other tools. Alright. So unlike the new o one model, which doesn't work with any tools, the new Canvas model does. You can use browse with Bing. You can use advanced data analysis. You can use DALL E, you can use all of these things inside of Canvas. Thing number 4, it's not a copy.
Jordan Wilson [00:56:01]:
It's not a copy of anthropic, anthropic's Claude's artifacts. Alright. Artifacts renders code. This is an iterative inline editor. And then number 5, I think that inline editor is actually a sizable step toward the future of AI and humans working together, kind of this concept of augmented intelligence, us making AI better, AI making us better, working around in, like, working together in a collaborative nature. This is, I think, aside from, you know, Copilot, which I think is probably pretty far ahead, but if we're just talking about the large language model makers themselves, I think this is low key. No one's giving it a lot of information. This is a sizable step forward in how the future of how we work in a collaborative nature with large language models.
Jordan Wilson [00:56:51]:
I hope this was helpful. If so, please go to your everydayai.com. Sign up for the free daily newsletter. Y'all, you wanted this. I asked in the newsletter, hey, should we do a show on Canvas? You guys said yes. So, please sign up for the newsletter. Every single day we tell you what you need to know in artificial intelligence, all the latest news, fresh friends from across the web, as well as we recap the highlights of what you need to know from each and every show. So make sure you go do that and make sure you join us tomorrow and every day for more everyday AI.
Jordan Wilson [00:57:19]:
Thanks y'all.