Anthropic Just Dropped Claude Motion, Dashboards + More (AI News)

summarized

TLDR

Anthropic released Claude Motion and Dashboards, two new artifact types that turn data into code-based animations and interactive dashboards, with Motion available only on Team and Enterprise plans. The bigger story is Grokbot opening up to third-party models like Claude Opus 5.5, which could reshape the AI agent market by decoupling the agent from the underlying model. OpenAI also rolled out GPT-6 with an 'intelligent UI' that builds interactive forms and charts automatically, available to all users including free tier.

Key points

Claude Motion generates code-based animations from data, exportable as MP4, but only on Team and Enterprise plans.

Claude Dashboards are a new artifact template that creates interactive dashboards with query visibility and refresh timestamps.

Claude for Google Workspace integrates Claude into Docs, Sheets, and Slides with an 'Ask before edits' mode.

Claude Haiku 5.5 is 90% cheaper than the previous Haiku, with input at $0.10 per million tokens for prompts under 100k tokens.

Grokbot will now use third-party models like Claude Opus 5.5, Midjourney, and Suno, automatically selecting the best model per task.

OpenAI's GPT-6 introduces 'intelligent UI' that automatically builds interactive forms, charts, and tools in chat, available to all users.

Tools mentioned

Techniques

  • Code-based animation generation
  • Interactive dashboard templates
  • Model routing based on task
  • Intelligent UI generation
Transcript (captions)

0:00 We have yet another big week of AI releases and in this video I'm going to break them all down for you. Enthropic just dropped two new products called Claude Motion and Dashboards. On top of

0:10 that, Claude for Google Workspace was released and Grockbot is no longer limited to Grock's own models. And there are three reasons why I think this is such a massive deal, as well as chatbt

0:21 now has a completely new way to interact with it called intelligence UI. I want to make this video quick and to the point, so let's dive right into it. The first thing I want to cover in this

0:30 episode is Claude Motion. Basically, you can give Claude something like a report, a chart, or even a product walkthrough, and it will turn it into a short animation that plays just like a video.

0:41 The interesting part about this is it does not use a video model. Claude actually writes the entire animation as code. So, there's no AI generated footage. And because it's all code, you

0:51 can go in and change any word, any number, or even the timing, and the rest of the animation stays exactly the same. Then once you're happy with it, you can even export it as an MP4 file. As of

1:01 right now, Motion is only available on the team or the enterprise plans. So, I actually went ahead and signed up for a team plan just so I could test this out for you in this video, but I would

1:10 assume that they'll probably be rolling this out to the other plans in the coming days or weeks. All right, so first things first, I'm inside of my Claude account right now, and what I'm

1:18 going to do is I'm going to come over to the lefth hand side where it shows artifacts right here. And now we're going to see a couple new things. So, inside of artifacts, we we are going to

1:26 see dashboards, which I'm going to show you here in a little bit. And then we also have motion. These are two new artifact types that we can create directly inside of Claude. So, if I

1:35 click on this motion one, I can now go and begin creating an a video animation with my specific data. Now, what I'm going to do is I'm going to give it this prompt, and I'm going to explain exactly

1:45 what these CSV files are right now. Basically, what this is is this is my audience retention data for one of my YouTube videos. What I'm going to have this do is turn this into a 30-se

1:55 secondond explainer where I could basically see where people are clicking off my videos. And I could go and share this with my team, for example, if we want to like optimize retention. So, I'm

2:04 just going to click send. And as you can see right here, it's analyzing the drop off pattern via this CSV file. So, we could upload any data that we want to use in order to create one of these

2:13 interactive dashboards, but also motion designs that could help us explain more complex data. Now, a few minutes later, we actually got this output right here. So, let's go ahead and play this. It

2:25 says where viewers leave. It shows the actual graph. It shows when people are clicking off, what percentage of people are still watching, and then it shows the entire retention graph right here.

2:36 Before, this was just a CSV file. So, it took that boring data in CSV format and turned it into this interactive video that I can go and share with my team in a meeting, for example. Now, here's

2:48 another example. So, basically, I fed it this following tracker CSV file where I basically track all of my followers and growth on YouTube and my other channels. And I told it to create a city. And what

2:59 it did is it created this fully animated visual of this city showing what this looks like in terms of my YouTube growth. So, you could see month over month it shows how much my channel has

3:10 grown and it gives me this cool little visual that kind of like explains it in a real life use case. It shows how big this city has grown, which the city is obviously just my YouTube channel. I

3:20 think this is a pretty cool visual that we can now create with this. These are just two use cases that I'm personally using, but I'm sure you have a bunch of different data you could use to

3:30 visualize with Claude Motion. Now, as you can see, motion on its own is really good for the basic use cases like explaining your data. But if you want to create much better motion graphics, you

3:41 could actually do it with a brand new tool from Higsfield called Katana. Higsfield says it's powered by Claude Motion and it runs directly inside of Claude through the Higsfield MCP which

3:51 is basically just a connection to the Higsfield platform. So all you have to do is connect Higsfield to your Claude account. Type /katana in the chat. So let me show you exactly how this works.

4:01 All right, so I want to show you this quick demo that I actually want to use as a reference video that we're going to use with Claude Motion in the Higsfield Katana model. So, as you can see right

4:11 here, there's this really cool launch video that Higsfield had on Twitter. And this apparently was all generated with the Higsfield Katana MCP. Um, and I want to see if I could actually recreate

4:21 something like this. I mean, this looks really cool. This looks much better than the normal just Claude motion graphics. So, what I'm going to do is I'm going to feed this video as a reference into

4:29 Claude and try to recreate something similar. Now, the first thing we need to do in order to generate this inside of Claude is to connect the Higsfield MCP, which allows us to generate these

4:38 visuals in motion graphics without leaving the Claude platform. So, what I'm going to do is come over here. There will be a link in the description for you to come to this exact page. We're

4:47 just going to click on connect Higsfield. Going to click add custom connector. Click continue here. I already have mine set up, but you're just going to go through this very

4:55 simple setup process. Click continue. And then you'll have to go and approve your account inside of Pixfield and it will bring you back to Claude. Next, what I'm going to do is paste in this

5:04 prompt right here inside of my Claude chat. Basically, I just said use the Katana feature inside of the Higsfield MCP. Use the attached video as a reference style. And then I actually had

5:15 Claude break down um exactly step by step how I want this video to look as well in case it's not able to pull the full reference video. So, I just linked the reference video right here. And

5:24 let's go ahead and click send. All right. So, we now have the output from Higsfield and Claude. And I'm not going to lie, this did take quite a while. Took about like 20 minutes to generate

5:33 this visual, but let's take a look at it right now. All right, here we go. It says, "Watch this." This is not After Effects. I mean, this actually looks pretty good. No timeline, no key frames.

5:43 Um, connecting Claw to Hicksfield Katana. Yeah, I mean, I think that this looks actually really solid. Much better than any of the outputs that I've gotten so far when using just the claw motion

5:54 motion design. I mean, yeah, this is this is very good. Under the hood, it's all code. It even shows this code background. Um, and I guess we could have added some voiceovers to this as

6:03 well, but right now it's just just the visuals. So, that is pretty good. I'm very happy with the output here. And again, this generated in about 20 minutes, but I only gave it one very

6:12 simple prompt. So, if I want to give it an even more enhanced prompt or I want to go back and forth with this quite a bit, I'm sure we could fine-tune this even more. But, I'm very happy with this

6:21 initial output. Now, let's talk about clawed dashboards. And this is one on every paid plan. So that's pro users, max team and enterprise plans unlike claude motion. So how this works is

6:32 basically you just connect your data, you ask it a question in plain English and claude will build an entire dashboard for you and Enthropic says that it stays up to date as your data

6:42 changes. So this means that all of the backend data that is connected will update on the dashboard in real time. Now, I'm not going to lie. When I first saw this release, I was a little bit

6:51 confused because it feels pretty similar to Claude Artifacts, which we've had for quite a long time where Claude could already build you a dashboard inside of an artifact. So, I went and looked into

7:02 this and a dashboard actually is an artifact and Enthropic says this themselves in their help center. It's just built from a new dashboard's template. So, the real difference is

7:11 what a template adds on top. Every chart shows you the query behind it. So you can click on any number and see exactly how Claude got that data. And every chart also tells you when the data was

7:22 last refreshed so you know how fresh those numbers are. So this all looks great, but I wanted to go and test it out myself. So let me show you exactly how it works. And if we come over to

7:31 artifacts, we're going to also see claw dashboards right here, which I could go ahead and toggle on right here. Or I could just go into a new chat and say, "Hey, I want you to generate a dashboard

7:40 for me." So what I'm going to do is I'm just going to come here. I'm just going to say, "Hey, I want you to generate a dashboard that visualizes all of my Instagram data using the potato mcp. I

7:51 want to be able to track which posts I have, the analytics of those, how many views they got, how many comments, etc." So, I'm going to send that off now to Claude, and it's going to go go and

8:01 generate this artifact dashboard right here. And if you don't know what is, this is a platform that I use to help me publish and set up DM automations for my Instagram. So, I could come in here and

8:12 take a look at my inside of my account or I could just have Claude now spin up a dashboard for me where I could see all this information without me necessarily leaving the Claude platform. So, if you

8:24 want to try out potato and set this up yourself, there will be a link in the description for you to do so. As you can see, it creates these Instagram posts for me automatically where I have Claude

8:34 generate the graphics right here and it will automatically post it and set up the DM automations for me. Now, just like that, few minutes later, we have this social media scoreboard right here,

8:44 which basically pulls all the information that I just showed you inside of Blot. So, it shows the amount of views that I've had over the last 30 days on the specific posts I've

8:51 scheduled through Blato. Um, it shows top posts by views. And as you can see here, there's a table of all this information. And the main part that I want to highlight here is at the top

9:01 right of this, it shows updated 3 minutes ago. We could click refresh. It's now going to pull live data from this dashboard. And we could go and share this with a team member or we

9:10 could export this as code as well. So I think this is a pretty cool feature, but it does feel like it is a cloud artifact, which it is, but now it's almost just a template that you can use

9:19 to create dashboards for you automatically. Anthropic just released Claude for Google Workspace. So Claude now lives right inside of Google Docs, Sheets, and Slides. It opens up in a

9:31 sidebar right next to your file and works on the file that you already have open. So, quickly think about how you would normally do this before. You'd copy your spreadsheet, paste it into

9:40 Claude, get an answer, and then have to paste it all back in. Now, you could ask it right there, and it just makes the changes for you. In Google Docs, Enthropic says that it can fix a

9:49 sentence or restyle a heading in place without touching the formatting around it. In Sheets, it could write formulas, build pivot tables and charts, and even add new tabs. And in Google Slides, it

9:59 could build out new slides that match the rest of your deck. Then it checks its own work and flags text that's hard to read or anything that's running off the slide. So I went ahead and tested

10:09 this out myself. In order to set this up, you just go to the claude for Google Workspace page, click try Google Workspace and install it. Then inside of any Google sheet, you go to extensions,

10:21 then claude, then open up Claude. And from here, it opens right on the side of your sheet. You can even pick which model you want to use. And on top of this, we can even choose the effort

10:30 level we want to use. So, I opened up a Google spreadsheet where I track my followers. And I asked it what my growth of my YouTube channel has been since I started tracking this. It read through

10:39 all the data and it told me the channel is up about 82,792 subscribers since I started tracking, which is about 2 and 1/2 times. And it even did the math and worked out that

10:49 that's about 333 new subscribers every single day. and it told me that it only answered in the chat and didn't change my sheet, but it offered to add a summary with the formulas if I wanted to

11:00 add it to my Google spreadsheet. Now, that's how you use it in Google Sheets, but it works the exact same way inside of Google Docs. Now, the part that I like is how it handles the edits. By

11:10 default, it's in a mode called Ask before edits. So, every change shows up on a card with a summary and waits for you to approve it because you don't want to make these changes to your

11:19 spreadsheet or your Google Docs without, you know, you approving it. it could go and make some bad changes. And if you don't want to have to accept everything, you could switch it over to accept all

11:27 edits and it just works through the whole task without stopping, just like your normal claude would. Now, the question is, who gets access to this? As of right now, it's on every paid Claude

11:36 plan. So, that's pro users, Max, Team, and Enterprise. Next up this week, we have a new release from Enthropic, and that is Claude Haiku 5.5. Enthropic is calling it the cheapest, fastest, and

11:48 most capable small model they've ever released. And if you're not familiar with the lineup, Haiku is the smallest and the cheapest claw model. And this is coming right after Anthropic dropped

11:57 both Opus 5.5 and Sonnet 5.5, both of which have been extremely impressive after testing. So, I've been pretty excited to try out Haiku 5.5 myself. Now, the biggest thing here is the

12:08 price. For input tokens, the old Haiku was $1 per million and Haiku 5.5 is only 10. For output tokens, it went from $5 down to 50. So, if you do the math, this is 90% lower. Now, there is one catch

12:24 that I do want to flag. That 10-cent price only applies to prompts up to 100,000 tokens. Once you go over that, it's 50 in and $2.50 out. It's obviously a plus that this is much cheaper, but it

12:37 also got quite a lot more capable, too. On computer use, the old Haiku scored 15.7% and Haiku 5.5 scored 72.4%. Now, Sonnet and Opus are still the

12:48 better choice for the harder stuff, and Enthropic says this themselves, but Haiku 5.5 is good for those tasks that you run over and over again and don't necessarily need a high level of

12:58 intelligence from these different models like you get from Opus or Fable. Now, there is a part to this release that I think most people are going to miss. If you're on a Max or a team plan, you now

13:07 get a monthly API credit. That means you now get $100 a month on the Max 5X plan, $200 a month on Max 20X, and up to $500 on Team. Now, if you want access to this, you do have to claim it in your

13:20 settings under billing. And it doesn't roll over monthtomonth, as well as if you are a pro user, you won't have access to this. If you want a full deep dive on the Claude Haiku 5.5 model, I

13:30 did make a video about it. So, there will be a link in the description to go and check that out. All right, moving on to our next release and this is from Grockbot and this is one of the biggest

13:39 updates they've shipped since it launched. And I'm not going to lie, I am extremely excited for this. I think it solves the biggest problem with Grockbot. This move from SpaceX puts

13:47 some serious pressure on the other AI companies like OpenAI, Meta, and Anthropic. So, let's break this down right now. Elon announced that Grockbot is no longer limited to Grock's own

13:57 models. That means it's going to start using top AI models like Claude Opus 5.5. So basically how this works is it gets the best model for whatever task you give it and it's going to pick that

14:07 model for you automatically. Now there are three reasons why I think this is such a big deal and the third one is the biggest. On top of that there's also a few important things that we don't know

14:16 yet and I'm going to get to those right after. So here is exactly what Elon posted and I'm going to read it for you word for word and then we'll break this down. Going forward, SpaceX will use the

14:26 best back-end model for any given task, including Claude Opus 5.5, Midjourney, Sunno, and other leading APIs, whatever is most likely to give the best outcome. Now, if you've never used Grobot before,

14:37 it's basically an AI agent platform that you can text like a friend or an employee. You can create multiple agents that work together and delegate tasks to specific agents. So, you can text it

14:47 like an employee. It can log into your tools and keeps working even when your computer's closed. And this platform has been amazing. I've absolutely loved this. I've been using it every single

14:56 day over the last two months as my main daily driver. But there were some limitations to this. Up until today, it only ran on Grock's own models, and you couldn't pick a different model if you

15:06 wanted to. Well, now Grockbot is going to look at the task you give it and then send it to whichever AI is best for that specific job. And I think this fixes the one thing that was really holding

15:16 Grockbot back. So, the first reason this matters is the model itself. Grock's models have always been a step behind or two or three steps behind Claude and Chachabt. And even Elon has said this a

15:28 couple of weeks ago. He said in an interview that Grock is not as good as Opus 5.5 and that they'd probably catch up sometime next year. And so instead of waiting until next year, he just decided

15:37 to plug Opus 5.5 and the top leading models right into Grockbot. Now, personally, I think Opus 5.5 is the most powerful model that you can use right now by far, and I've been building some

15:48 incredible things with it over the last week, but I personally really like how Grockbot communicates with me. I think it's much more easy to use and beginner friendly. It honestly feels like I'm

15:58 texting a co-orker or a friend, and it actually remembers how I like to work. So, up until now, I kind of had to choose. I'd go to Claude for hard stuff like coding or more specific and complex

16:09 workflows and then I'd go to Grockbot for all the different admin tasks and everything else that was easier for this model to handle. Now, here's a quick example of what this could look like

16:18 going forward. Let's say I text my Grockbot and ask it to build me a dashboard that tracks all of my different invoices. I'm still talking to the same agent in the same chat, but

16:27 behind the scenes, Opus 5.5 could be the one writing the code since it's much better at that. This way, I get the agent that I like talking to and the model I trust with the hard work, which

16:37 is Opus 5.5. All right, moving on to the second reason on why I think this is such a big deal, and this is that you no longer have to pick a model. Right now, if you want the best results, you kind

16:47 of have to know which AI is good at what. So, you'd go to Claude for writing and code, then Midjourney for images, and Suno for music, and you get the point. And as you're probably familiar

16:56 with this, that's a different app and a different subscription for all these different AI tools and platforms. But the way that Elon worded this in this tweet, Grockbot makes that choice for

17:06 you. So you could ask OneBot to write a launch post, make the image for it, and even make a little jingle song to go with it. And then each piece of this specific task goes to each specific

17:16 model that is best for it. Now, there's also a chance that this might save us some money. If Claude, Chateabt, and Sunno all end up being included in the Grockbot plan, that could be one

17:26 subscription instead of having to pay for all four. Now, I do want to preface and say that pricing has not been announced yet. So, I wouldn't go and cancel anything today, obviously, but

17:35 this is something that I'm genuinely thinking about and excited for going forward in the future. And that brings me to the third reason, which I think is the biggest one, and it's what this

17:43 means for everybody else. Because in the last couple of months, pretty much every big AI company has launched their own version of Grockbot. Meta came out with their platform called Muse, which has

17:54 been taking the world by storm over the last couple of weeks. And then last week, OpenAI launched Chhatchabt Dots. And I was personally extremely excited to test it out and so were tons of other

18:04 people, but it's honestly been extremely underwhelming so far. But here's the thing that all these have in common. Chachabt Dots runs on OpenI's models and Muse runs on Meta's models, which are

18:15 very limited. So you're kind of betting that the company that built your agent is also the one with the best model. And this changes almost every week when these companies are releasing new models

18:24 every week. And Grockbot was the exact same way until today. But I want you to think about what Grockbot actually is. It's a computer in the cloud that's logged into all of your different tools

18:33 and runs your routines and scheduled tasks while you sleep. And after this change, the model behind all of that is just a part that can be swapped out. So when a better model comes out, Grockbot

18:42 could just plug it in and you wouldn't have to change a thing. And if you're anything like me, this will make your life so much easier so you don't constantly have to be switching

18:49 different platforms. And in my opinion, I think this puts real pressure on all of the other AI companies. Anthropic already has Claude Co-work and I'd bet they have a bigger version of this

18:58 coming too by launching a competitor to Grockbot, Metamuse, Chatbt Dots, etc. So, the big question is whether any of these different AI platforms are going to follow and open up their agents to

19:08 other models. My guess is they probably will not anytime soon because their models are the thing that they're selling. And this is exactly why I think this is such a big moat going forward

19:18 for Grockbot. Now, before you get too excited, there are four things we still don't know. And a couple of these are really important. The first is when this actually goes live because all Elon said

19:28 in this tweet was that this was going to be the case going forward. So, that could mean today, this week, or could mean a month from now. We don't necessarily know, but as of right now,

19:36 we don't know when this is going to go live. The second is whether you get to pick the model yourself or see which one did the work. The way that this tweet reads is that Grockbot is going to be

19:45 picking for you. And we also don't know which tasks actually go to which specific model. How is it making this decisions? So it's possible that opus would only get used for the really hard

19:54 stuff and everything else will run on Grock models. We just don't know. And if a task comes back wrong, you don't necessarily know which model did that. And and the third is the price. Right

20:04 now extra usage on Grockbot is built by token cost and Opus is a more expensive model to run than Grock. So there's a chance your usage doesn't stretch as far when Opus is doing more of your work. We

20:15 also don't know if every plan is going to get this or just the more expensive Grockbot plans. And the fourth big thing here is your data. Your Grockbots are logged into your emails, your files, and

20:24 all of your other tools that it's working across. So, if a task gets sent to another company's model, some of that information could be going with it. And right now, we don't know if you'll be

20:33 able to turn that off. I'm going to be testing this the second it shows up in my account, and I'll make a full video on it because I am extremely excited for this. We also got another big update

20:42 from Grobbot and they announced that it could now search, read, and monitor the X platform. Back in August when they launched Grockbot, they added an X connector, but you had to sign in and

20:52 connect your account in order to use it. Well, now you don't have to connect it to anything. It just automatically can pull live data from the X platform. So, I went ahead and tested this out myself.

21:02 I basically had my Grockbot go and pull the top reactions on X to the new chatbt interface that just got announced and then give me the top 10 reactions. It went and searched this for me and it

21:12 came back with this. First, it gave me a quick summary of the announcement itself. And then I get a table of the top 10 reactions with who said it, what they said, and how many likes and views

21:22 each of these posts got. So, this is a really quick way that we can now survey what's happening on the Xplatform without having to scroll through it for hours, which I personally get a lot of

21:31 my different AI news from this platform. So, this is going to save me a lot of time. A perfect example of a way I'll be using this is having Grockbot Monitor X and text me whenever there's a new tweet

21:42 from both Anthropic and OpenAI. So, this way I could be one of the first people to see all the new product releases from them so I could cover them on this YouTube channel. All right, moving on to

21:51 the last release that I want to talk about here. And this one is from Open AI. They just rolled out GPT6 inside of chatbt along with a brand new feature called intelligent UI. And everybody has

22:02 access to this, even people on the free plan. Here's exactly what intelligent UI means. Up until now, when you ask Chatbt a question, you mostly got a huge paragraph that you had to read through.

22:12 And this could be extremely annoying. Well, now it could answer with an interface that you can actually interact with. It will go on and create forms, interactive charts, and even little

22:21 tools right inside of the chat. And the part that I really like is that you don't have to ask for any of this. ChatBT looks at your question and decides what the answer should look

22:30 like, whether that's text or an interactive form, and it will build it for you. And I think this is why they're calling it intelligent UI. The intelligent part is that it's making the

22:39 choice for you. So, it decides when a visual would actually help explain something and then it builds the whole interactive experience on its own as opposed to you having to ask to

22:47 visualize something. Now, here's the example that OpenAI gave us in this release article. Somebody asks for a plan for a Sunday lamb roast and they say they still don't know how many

22:57 people are coming. Well, the old model would have given you a long text answer that you'd have to go and sort through. Well, GPT6 now gives you a little counter for the number of people, and

23:06 when you change it, the whole shopping list changes with it. Then there's even a button to copy the shopping list in cooking checklist that you could tick off as you go. They also showed a road

23:14 trip where the stops show up on a map and you could just ask it to build you any tool that you want. Now, these are cool, but I wanted to go ahead and test this out myself. So, here's what I had

23:22 it do. First, I asked it to help me understand how compound interest would work if I invested $2,500 a month into the S&P 500. And instead of just explaining it to me, it built me this. I

23:33 get a chart of what my money could grow to with how much I put in and how much it earned on top of that. At an 8% return over 30 years, it says that it could grow up to about $1.75 million.

23:44 And then, as you can see right here, it gives me the slider. So, I can change things like the average return or how many years I'm investing, and the whole thing updates right away. Then, I tried

23:54 this on a second use case, and I think this one's actually pretty cool. So, I asked it to teach me how to play Texas Holdem, and it started walking me through the rules and actually showed me

24:03 the different cards in the game. It then deals me a practice hand right inside of the chat. And as you can see right here, it gave me ace king and gives me three buttons, which are fold, call, or raise.

24:13 I personally hit raise and it tells me that it was a great decision. And then it deals a flop and asks what I want to do next. The crazy part here is that it's teaching me along the way in this

24:22 interactive experience that's customized based on the initial chat that I gave it. And this is why I think this is a much bigger deal than it looks like on the surface. For the last few years,

24:31 every AI gave everybody the exact same thing, which was a text output. You had to take that answer and go do something with it yourself or digest it and read all the way through it. And OpenAI

24:41 actually said this in the announcement. They said, "Instead of people adapting to software, software will adapt to people." And it feels like we're moving into a world where software is built for

24:51 us all the time and customized to each individual person. And I personally think this is where all of AI is heading where it feels a lot more personal to you and how you like to work. Now the

25:00 question is who gets access to this? So as of right now this is available to everybody including the free plan which is pretty cool. So you can go ahead and test this even if you're not on a chatbt

25:10 plan. Paid users get GPT6 Soul and free users get a lighter model called GPT6 Luna. And as of right now, this is only in the normal chat. So nothing is changing inside of either chatbt work or

25:21 codeex. But I'd assume they're going to roll this out over the coming days or weeks maybe. Anyways, if you enjoyed this episode, subscribe for more as I make these episodes every single week so

25:30 you could stay uptodate with AI without being overwhelmed. Anyways, thanks for staying to the end and I'll see you in the next video. Cheers.

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