AI News: 24 Things You Need To Know This Week

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Original language: English

Original video: AI News: 24 Things You Need To Know This Week · Channel: Matt Wolfe · 26:37 · Watch on YouTube

Topics: AI agents, Cybersecurity and software security, AI models, Multimodal models, Robotics and autonomous systems

Summary

This week’s AI news includes Anthropic’s Claude Duet, a proactive assistant that can use connected tools, alongside serious cybersecurity incidents involving PHP vulnerabilities and Railway’s exposed environment variables. OpenAI shipped several Codex and ChatGPT updates, while Ideogram introduced vector generation and ElevenLabs demonstrated an audio-to-video lip-sync tool. The video also covers decision models, local AI agents, voice and image generation, and companies’ growing efforts to block or accommodate AI agents. It closes with Zoom’s deepfake detection tools, Microsoft’s medical AI research, and a viral Unitree robot video that the host treats as a demonstration of mechanical capabilities rather than autonomous behavior.

Key points

Claude Duet is presented as a proactive personal assistant that can connect to services such as Gmail, Slack, QuickBooks, and Shopify; access was limited to a waitlist.
OpenAI identified a long-standing PHP vulnerability before attackers did, while the public disclosure was followed by a rapid increase in attempted exploits.
A Railway security incident may have exposed decrypted environment variables, prompting developers to rotate potentially compromised API keys.
HyperAgent now lets users sign in with an existing ChatGPT subscription to run teams of AI agents.
OpenAI’s Codex updates included context and caching improvements, editable earlier messages, locked chats, and broader availability for the Decisions API.
Ideogram launched a vector model for generating editable SVGs, and ElevenLabs introduced Chimera for syncing audio with generated video.
Perplexity open-sourced two decision models and made its computer agent available to run on a Mac, with substantial unified memory recommended.
More websites are blocking third-party agents, raising questions about whether businesses should optimize their services for human visitors or AI agents.
The video also highlights Mistral’s Voxtrot 3 voice agent, Canva Craft image generation, Zoom deepfake detection, Microsoft medical AI research, and a viral Unitree robot demonstration.

Chapters

Start	Chapter	Summary
00:09	Claude Duet and the week’s cybersecurity incidents	The video introduces Anthropic’s proactive assistant, then covers the PHP vulnerability and the Railway incident involving potentially exposed environment variables.
07:58	HyperAgent and OpenAI updates	HyperAgent adds ChatGPT subscription sign-in, followed by a review of OpenAI’s Codex updates, locked chats, and Decisions API.
12:09	Ideogram vectors and ElevenLabs Chimera	The host tries Ideogram’s editable SVG generation and ElevenLabs’ audio-to-video tool, noting its lip-sync quality and interface issues.
15:46	Perplexity models and the agent-friendly web	The rapid-fire segment covers Perplexity’s open-source decision models and local computer agent, then examines websites blocking AI agents and Yelp’s calling feature.
20:57	Voice agents and image generation news	The video demonstrates Mistral’s Voxtrot 3 voice agent, introduces Canva Craft, and discusses signs that OpenAI may release a new image model.
23:01	Deepfake detection, medical AI, and robots	The host covers Zoom’s deepfake risk detection, Microsoft’s medical AI research, and a viral Unitree robot video, then wraps up the week.

Quotes

Here’s the AI news you probably missed this week. — 00:09

The vulnerability isn’t a new vulnerability. It’s actually been present in PHP for 20 years. — 03:49

We only want humans operating on our site. We don’t want agents coming and doing the work for them. — 17:53

Do we want to be human first? Do we want to be agent first? — 19:56

Thanks for hanging out. Thanks for nerding out. — 26:37

Concepts and entities

Claude Duet, Anthropic, PHP, OpenAI, Railway, Codex, Decisions API, Ideogram, ElevenLabs, Perplexity, Shopify, Mistral, Canva, Microsoft, Unitree

Full transcript (original language)

00:09 [sighs] >> Here’s the AI news you probably missed this week. Starting with Claude Duet. This appears to be Anthropic’s answer to ChatGPT’s dots, Meta’s muse, XAI’s Grok bot. This is their personal assistant that not only does things on your behalf, but is also sort of proactive in alerting you to things maybe you should be doing. So, we can see here that it’s proactive. It says, “Morning Nicole. For today, health permit, hiring decisions, Northfield renewal.” So, this doesn’t appear to be a response to somebody prompting it, but the actual agent going

00:40 and being proactive and reminding you of things that are happening. We can see it then follows up with more details, as well as suggesting something the app can actually take care of for you on your behalf right now. As we can see, it can use tools. It says, “Pulling from point of sale, your online store, CRM, support, payroll, and bank.” And it even presents like a nice clean dashboard. This actually looks better than like what we might get out of dots or something like muse, cuz it’s got this dashboard right in line with the rest of the agent chat. And like I mentioned earlier, similar to dots and muse and

01:12 some of these other tools, it will reach out to you before you actually ask it to reach out, even going as far as drafting up messages for you to just go ahead and use for things. It can help draft up emails for you. And let’s be honest, it seems like it can do a lot of the stuff that we’ve been getting out of dots and muse and Grok bot and things like that. Now, I would demo this one for you personally, but they didn’t open it up to everybody. If you’re on a pro or max plan, you can join the waitlist and they’re sort of, I guess, picking and choosing who gets off the waitlist, cuz I do know some people have access, but I

01:44 haven’t been chosen yet to actually try this out, so I can’t demo it for you. They also mentioned that it does handle sensitive information well. It says they’re releasing it with a dedicated classifier and safety system prompt that checks each message and guards against the of sensitive information. So, you don’t have to worry about getting a message that includes your credit card numbers or government IDs or anything like that. As far as what it’ll connect to, it appears to be able to connect to all of the usual suspects, Gmail, Slack messages, QuickBooks, Stripe, Gusto,

02:16 LinkedIn, DocuSign, HubSpot, Canva, Shopify. So, a lot of the same apps that we’re getting in all of the other agent platforms. I do really like the way Duet looks in their demo video, especially that dashboard. It looks really clean. I’ve been a big fan of using dot and Grokbot so far, so I’m excited to try Duet when I can finally get my hands on it. Unfortunately, I do not have access to it yet. I am on the waitlist. I have been in communication with people over at Anthropic hoping to get my hands on it soon, in which case I’ll do a bit deeper of a dive on it. Now, while Duet

02:48 was probably the biggest launch of the week, I say launch in air quotes cuz most of us don’t have access yet, the biggest story of the week was probably all of the cybersecurity issues that have happened. And these are like big issues, things that affected a giant percentage of the web. The first one being, well, the PHP issue. If you’re not familiar with PHP, it’s a programming language for the web, and by some accounts, up to 70% of websites use PHP in some capacity. It’s the programming language behind Wikipedia,

03:18 WordPress, Drupal, DeviantArt, 4chan. A lot of the internet uses PHP. The Verge here actually put together an account of sort of what’s been going on with PHP. But, here’s kind of the big idea behind it. The vulnerability was actually found by OpenAI earlier this week. GPT 5.6 Soul was used to identify the PHP exploit before attackers did. So, they actually got ahead of this one and shared a tool that lets developers check if they’re using potentially vulnerable version of PHP that needs patching. Now,

03:49 as a result of this, a handful of websites around the internet had to go down for a little bit to patch these vulnerabilities. Now, it’s interesting to note that the vulnerability isn’t a new vulnerability. It’s actually been present in PHP for 20 years. However, actually exploiting it required an exceptionally complex chain of steps at the edge of what human researchers could practically achieve. However, because we now have powerful AI models, it’s much easier to turn that kind of obscure bug into an actual dangerous vulnerability.

04:20 The CEO of Cloudflare, Matthew Prince, said that in the 10 hours before it was publicly announced, they saw thousands of attempts to exploit this bug. That jumped to tens of thousands in the 45 minutes post the announcement that this vulnerability existed and to hundreds of thousands within 2 hours and millions now. So, as soon as people were made aware that this vulnerability existed, it was getting exploited like crazy. If you’re not familiar with Cloudflare, it’s sort of this layer that lives between like where your site is hosted and the domain name and sort of traffic

04:52 gets routed through it for let’s just say speed and security reasons. Now, all said and done, this didn’t do a ton of harm other than a bunch of websites around the internet had to temporarily go down to patch this. However, it does kind of show the amount of havoc that AI can wreak on websites and the internet as a whole because this was a bug that’s been around, but just too difficult to exploit and now that we have AI models, they can exploit some of the most difficult bugs we’ve ever seen. The security firm Wiz called this among the

05:22 most severe vulnerabilities discovered in software history. But, that wasn’t the only big issue we got this week. Also this week, the company Railway got attacked and an unauthorized third party may have accessed encrypted environment variables and some of them obtained the decrypted contents. So, if you’re watching this going, I have no idea what that means. So, let’s start with what Railway is. Railway is sort of an infrastructure layer where people who build web apps sort of host all of the back-end database and information for their web app. Now, when they say they

05:54 got access to environment variables, environment variables are often like API keys. So, if a company built an app that uses OpenAI or Anthropic as part of the apps infrastructure, they would store their API key for open AI in the environment variables. So, companies that built their apps on top of Railway have a chance that their back-end variables were accessed, and whoever accessed them was able to get access to their API keys to use tools like open AI

06:25 and Anthropic. And if that’s the case, people or company or entity that exploited it now has access to use your API keys, which would charge you. So, they could go and use open AI or Anthropic tools, and it would charge whoever owns the API key. And because a large volume of online apps use Railway’s infrastructure, that’s potentially a lot of API keys and environment variables that people got access to, which basically means a ton of companies that build apps had to scramble this week to go rotate out

06:56 their API keys and deactivate old API keys that might have potentially gotten compromised. And all of this is happening because AI is getting better and better at coding and cybersecurity stuff, and we’re just kind of at this tipping point where AI is so good that it is starting to like break the internet. And yeah, where we go from here is kind of scary. Luckily, it does feel like some of these AI companies are trying to stay right on the edge of it

07:27 and solve these problems like right before they happen, like we saw in the case of the PHP incidents. But in the case of the Railway incidents, the damage is done and it’s leaving a lot of developers scrambling to go and change out API keys in their environment variables. And also, it’s really scary if you’re building stuff online right now because if this happened to Railway, who’s to say it can’t happen to Vercel or some other platform where your web app or website is hosted on. I mean, honestly, it doesn’t feel like much is safe right now, and that’s kind of a

07:58 scary thought. Another cool update this week is from HyperAgent. If you’re already paying for ChatGPT, you can now use that same subscription to run a whole team of AI agents inside of HyperAgent, which solves the really annoying problem of having to sign up for a million subscriptions across all these different platforms. And if you don’t know what HyperAgent is, it’s basically a platform built around the idea of hiring AI agents that work more like employees. You can create different agents for different jobs like research and content generation, analysis, operations, like whatever. And they have

08:31 multiple agents and multiple people all working together inside the same room. So now, instead of paying for another separate AI plan just to get started, you can simply sign in with the ChatGPT plan you already have. Or if you want more usage, you can choose one of HyperAgent’s paid plans and get $100 in bonus credits. So check it out at the link in the description box, and thanks so much to HyperAgent for supporting my channel and sponsoring this portion of today’s video. So like I mentioned a couple weeks ago, OpenAI said that over the next 28 days, each day will either

09:02 ship one thing that is a clear improvement to Codex or work users, or they’ll ship a full reset. The last 2 weeks I’ve given you an update of everything they’ve shipped so far. So I want to continue that this week and let you know what they’ve shipped in the past 7 days. For the most part, it’s been another set of sort of smaller updates and more resets. So on day 12, they made improvements to Codex and work that increased the effective usage you get. They did it by reusing context across sub-agents, keeping context cached longer, and improved request

09:33 routing that allows them to increase cash hits. Day 13, they didn’t release anything, so they gave a reset. Day 14, they released a new quality of life improvement. You can now edit previous messages within a thread in the desktop app. I didn’t quite understand this, and I think James here said what I was thinking. I’m genuinely confused as to what this means. So a prompt I’ve sent earlier I can go back and change? Does it register like a steer? Tibo said it registers as time travel, but then VB here, who also works at OpenAI, says,

10:05 “We discard all model outputs and tool calls post the edited message. This makes it so the model doesn’t get confused overall from confounding messages. So, I guess it’s kind of like going back and starting over from a specific point, which I don’t quite understand how that’s much different from just like steering it in a different direction and like forking it off. But, I don’t know. That was the update from day 14. If somebody has a better understanding of what this actually means, feel free to comment below the video. Let me know. Day 15, really nothing of note. So, they gave a

10:36 reset. Day 16, you can now cache for 12 hours in the API and for logged-in users across Codex and work, we keep cache forever and you don’t have any penalty for coming back to an old conversation or resuming after a few hours and are now guaranteed to hit the cache. And then day 17, you know, the day I’m actually recording this, uh they gave us another reset. So, again, all fairly minor improvements. The cache one from day 16 seems fairly significant. Like, you’re going to use less tokens more often when you’re having conversations

11:07 because it’s going to refer to the cache more often. That seems pretty cool. Other than that, everything feels very minor. OpenAI rolled out a locked chat feature where you can actually lock your chats behind a pin. So, somebody opens up your computer and opens up your ChatGPT account, you can have chats that aren’t easily accessible unless a pin is entered. I don’t have it in my account yet, but this notification does say locked chats are rolling out gradually. So, if you don’t see it, then it’s probably not available in your account yet. They also announced broader availability for the Decisions API. I

11:39 feel like this is like the third time they’ve announced the Decisions API. They announced it during Dev Day, and then like a week later they announced that it’s available for more people, and then this week again they made another announcement about it. But, it does say, “Today we’re making the Decisions API generally available. Built with GPT-6 Luna, the Decisions API focuses on Luna’s intelligence on questions with bounded answers.” So, basically, instead of you giving it a prompt and it giving you an output back with a bunch of text, it could either give you an estimated

12:09 probability of something, it can pick from a selection of choices, or it can give a score of something. A few weeks ago, Jeff was all the rage. This is basically OpenAI’s response to Jeff, and for the third time, they announced it again. >> [laughter] >> All right, let’s move on to some things that we can actually play with right now. The company Ideogram, which has their own proprietary image generation model, they actually rolled out a vector model this week. So, now you can generate clean, editable SVGs. If you head on over to

12:40 ideogram.ai/models/vector, you can prompt it to generate whatever you want in vector format. Now, vectors are like infinitely scalable, and also, you can edit elements within the vector. So, here’s a vector I did with a wolf howling at the moon. I did get slightly early access, so I’ve been playing with this for a few days, and you can see that I can select individual elements of this and edit this image here. If I prompt it to generate a monkey on roller skates, and about 30 seconds later, we have some vector graphics with monkeys

13:10 on roller skates here. We did get a couple wonky ones with some extra legs, so maybe vector generation isn’t quite as dialed in yet as image generation, but luckily, we got four to choose from, and two out of the four look pretty solid. And once again, because it’s a vector, I can select different elements in this and edit it however we want, and I can download it directly as an SVG as well. The company Eleven Labs introduced Chimera this week, which is a tool that combines Seedance 2.5 and Eleven Labs

13:41 V4, so you can give it an image and an audio file, and then it will sync the audio with the image and make it look like the person in the image was speaking whatever was said in the audio file. I went ahead and gave it a try here. I uploaded an image of myself, and then I had Eleven Labs generate some audio for me, so this does not sound like me, and this is what it generated. >> Just settle. You do not need to force yourself to relax. You do not need to get to relax. You do not need to get rid of every nervous feeling. Simply notice

14:12 that you are here, breathing, listening, and preparing. >> You get the idea, but the funny thing is I gave it a picture of me standing there, and it didn’t actually use that image even once. It put me on a stool, it did a close-up of my face, and at one point it has me looking at myself in a mirror. So, never actually using the original image I gave. You can give it a prompt to steer, I think what the visuals look like. I left it blank to see what would happen, and you see what it gave. It gave multiple shots, it wasn’t just one shot all the way through. But, I do think that the lip

14:43 sync is kind of decent. Last week I was looking at a different lip sync tool that didn’t really look that close at all, and I actually think we’re getting closer and closer. I did find like a little bit of like bugginess and issues with the UI. Like, when I open this up and click on text to speech, if I give it a ton of text here, the like submit button goes off the screen, so I can’t even submit down here. I mean, I could kind of hover over it and submit it, but it’s like way off the screen, and for whatever reason the scroll is not working, so I can’t scroll down to see it. If I start selecting text and drag,

15:15 it eventually lets me see it by like dragging text down here, and now I can click generate speech. And if I do generate this speech, it’ll do the whole process of generating it, but then when I click use speech, it’ll give me an error saying combined reference audio is 120 seconds, and it can’t exceed 30 seconds. Like, isn’t that something that it should tell me when I put in the text? Like, I pasted text and it should warn me, this is going to be too long for what you’re trying to generate, it can only be 30 seconds. know, it seems like a bit of a miss with the UI here,

15:46 but I do think that the voice syncing is fairly impressive. Although, it is kind of weird that it didn’t use my original image and add me speaking from that position, but I guess that’s more of a C Dance 2.5 issue. All right, I’ve covered a handful of things. I’ve probably talked about the biggest stories already, but there is quite a few smaller stories that I want to break down for you. So, let’s break them all down in a rapid fire. >> [music] >> Let’s start with Perplexity here. They just released two of their own decision

16:18 models. I just talked about decision models earlier. If you seen anything about Jev or you understand what’s going on with the open AI decision models, well, now Perplexity has their own version of decision models and they just open-sourced them. They have a 4-billion parameter model and a 27-billion parameter model and according to this benchmark chart here, the 4-billion parameter model is all the way to the left telling me that it’s the best at whatever this benchmark is showing here. While we’re on the topic of Perplexity, their Perplexity computer model can now

16:50 run fully on a Mac. So, Perplexity computer is kind of like Perplexity’s version of like an open claw or a Hermes or their own agentic software that can go and do a bunch of tasks for you and use tools and things like that. And in the past, the computer aspect was on cloud computers that Perplexity owned. Well, now you can fully run Perplexity computer on your own Mac if you want. It looks like it runs quite 3.6 and they recommend 36 GB of unified memory or

17:21 more to be able to run this. I find this whole narrative to be really interesting right now. Websites are closing their doors to AI agents. So, OpenAI, Meta, and Google want AI agents to go do everything for you. Recently, Amazon stopped letting agents do shopping on your behalf on Amazon and they’re starting to block these agents from being able to do that for you. Well, this week more companies are starting to block agents. Yelp and Delta Airlines and JP Morgan Chase and Charles Schwab, cars.com, Amtrak, like more and more

17:53 sites are starting to say we only want humans operating on our site. We don’t want agents coming and doing the work for them. Now, the reason I find this narrative to be really, really interesting is because companies are going to have to start to decide whether they want to build their sites to be agent-friendly or to be only for humans. And there’s an issue because as more and more humans start to use agents, they’re going to want to direct their agents to the websites that are friendly to agents, obviously. However, these

18:25 companies, they’re worried about agents being able to use their website because now it moves them a sort of layer down the shopping stack, right? Now, instead of somebody going to Amazon to buy something, they’re going to ChatGPT.com or Duet or Muse and telling it to go buy something for them, their agent is going over to Amazon and then making the purchase on Amazon. Now, if an agent can go to Amazon and make the purchase, Amazon’s worry is, “Okay, now that I’m

18:55 further down that stack of who’s doing the shopping, we’re more interchangeable.” In the past, when somebody wants to buy something, they go to Amazon, they look it up, they buy it. If agents are doing the shopping now, you might say, “Go buy me this thing.” And your agent is going to go and find the website that maybe sells it the cheapest or maybe find the website that gets the delivery to you the fastest or whatever your criteria is. And now your number one source to go buy the thing is not “I’m going to go straight to Amazon.” It’s “I’m going to go to my

19:25 agent and have my agent buy the thing for me.” And Amazon is now interchangeable. Now, Shopify has embraced this. Shopify has gone and said, “All of our sites are agent friendly.” So, now if you tell your agent to go find me this thing and buy it, it’s much more likely to go to a Shopify-based store because Shopify is allowing the agents to go and shop on it. Where Amazon is not. So, it’s just going to be this really interesting dynamic where these big companies are going to have to decide, “Do we want to be human first? Do we want to be agent

19:56 first? If we do go agent first, then now we’re interchangeable. But if we go human first, then the agents aren’t going to be using our site on people’s behalves, so we might lose sales that way.” And I don’t know how this is going to play out. I just think it’s this really interesting thing. I think a lot of sites are going to have to eventually allow agents to do the shopping cuz if more and more people are allowing their agents to do their shopping on their behalf, they’re going to miss out on a lot of sales if they keep on blocking agents. I don’t know how it plays out. I

20:26 just think it’s fascinating. Anyway, since I just mentioned Yelp, I’ll mention this right here as well. Yelp can now call on your behalf to check wait times at a restaurant. So, although Yelp is blocking other agents from using it, Yelp is trying to be your restaurant agent of choice. So, you can’t go use dot to do stuff on Yelp for you, but if you go and use Yelp directly, you can now have Yelp call a restaurant for you and check on wait times and ask about menu items and things like that on your

20:57 behalf. The company Mistral released a new AI voice agent called Voxtrot 3 this week and it actually looks pretty impressive. >> We are two humans speaking with one voice agent. >> So, which one of us is speaking right now? >> Arthur, Kayla introduced herself first. >> Cool, so you’re doing more than just listening and generating speech. >> Yep, there are three stages streaming at once. >> And the context also shapes how I speak. >> May I interrupt you there? >> Um, you just did. >> Cool, so you can handle an interruption

21:27 and are you still following us? >> Yep, I’m diarizing you in real time. The reasoning model is closely following what’s being shared as we’re talking. >> So, you get the idea. It can listen to multiple people speaking to it, know which one is speaking, it can do tool calls on your behalf, you can interrupt it and it just seems like a really impressive voice agent model. All right, moving on to image generation models, the company Canva released their first image generation model. Now, full disclosure, I do have a small investment in Canva, but that never affects what I

21:59 say editorially about any of the companies I talk about. This new model is called Canva Craft and if you remember a couple years ago, Canva actually acquired Leonardo AI which had their own proprietary image generation models and it turns out this new model, they used the same research team to help them create this new model. If you’re a user of Canva, it is available inside of the Canva platform as well as inside the Canva API. So, inside of Canva, if you want to use it, click on the Dream Lab tab, and you’ll be using their new image

22:29 generation model. Since we’re talking about image generation models, let’s jump over to the rumor mill for just a second here. This testing catalog website seems to believe that we’re going to get a GPT image 3 model pretty soon. This Aurora Red Alpha model has been popping up on some of these leaderboard comparison sites, and names like Aurora Red Alpha, Aurora Green Alpha, and Aurora Blue Alpha have been noticed inside of OpenAI’s API. So, this isn’t actually confirmation that we’re getting a new AI image model from OpenAI

23:01 really soon. But, usually when we get leaks like this, it’s usually not too far behind. So, don’t be surprised within the next couple of weeks we get a brand new image model coming out of OpenAI. This week, Zoom introduced an AI tool to give enterprises greater visibility over AI activity. Basically, it’s for deepfake risk detection. So, if you’re on a Zoom call, it will help you determine if you’re actually talking to a human or being deepfaked. I don’t know, it’s kind of been a couple of years now, but there was a lot of stories where companies were getting scammed out of a lot of money because

23:31 like a CEO of a company was being deepfaked and was asking for money to get transferred to certain accounts, and the employees did the transfer thinking they were actually doing it for their boss, but it was really a deepfake on the livestream with them. So, it seems like new suites of tools are popping up to help prevent that from happening. Microsoft put out this article this week as well called Building Medical Super Intelligence. They have a model called 1.7 times more accurate than physicians. They also claim it’s more than twice as

24:02 accurate as physicians using textbooks and the internet, and nearly four times as accurate when they diagnose without those resources. So, some pretty interesting research coming out of Microsoft with a model that, who knows, may end up in your doctor’s office soon to help diagnose, or at least like double-check the diagnoses of the doctors you’re dealing with. And finally, let’s end on robots cuz this video has been going viral. Unitree put out this video for the X2H Kung Fu

24:32 Legend Guardian. When we watch this video, we can actually see this Unitree H2 unit doing like flips over a car. We can see it actually kicking and sort of denting a car, beating up the front hood of a car, jumping from 4 m high. They even put like fireworks on its feet and made it do flips for some reason. Here it is actually protecting somebody from an intruder and stepping between them. And then there’s some interesting clips here of the robot seeing somebody trapped under a car and then lifting the car up. And then in probably the

25:03 funniest one of them all, this one sees a car coming at a kid and then thrashes the kid down. The funniest thing about that to me is right here. You see the car coming and the car is going in like ultra slow motion, but then the robot pushes it over way harder than the car would have even hit it. And then when you look at this lifting the car up, a lot of people have issue with them lifting the plastic bumper here because that bumper would most likely pop off of the car. So, a lot of people are thinking because most of the car is off the seat here, there’s something else helping lift the car here. And to be

25:35 fair, I don’t think any of what this video is showing where it’s doing the flips and the kicking and stuff, I don’t think it’s doing any of it autonomously. I think there’s somebody actually controlling it and it’s more of a demo showing what the robot’s sort of mechanical capabilities are. But I don’t believe for a second that it’s actually lifting all the weight of this car here. And it pushing this kid out of the way to me is just hilarious cuz that looks way more damaging than what the car would have done. But uh yeah, that’s an interesting video that’s been going viral this week. But that’s what I got for you this week. It was actually

26:06 another kind of slower week this week. The biggest stories were duet and a lot of those cybersecurity issues that were popping up. But there’s always stuff to talk about. I’ll probably never have a video where there’s nothing to talk about this week and I just have to skip it. So, if you want to stay looped in on all the latest AI news, make sure you like this video and subscribe to this channel. Again, I’ll drink from the fire hose. I’ll keep up with all the news all week and stay overwhelmed for you and then give you one video at the end of the week that will help you understand everything that happened in the world of AI. Again, if that’s something that

26:37 interests you, make sure you like this video, subscribe to this channel. I do record these on Thursday, so if any big news came out really late Thursday night or on Friday, it’ll probably end up in next week’s video. But again, that’s what I got for you today. Hopefully, you learned something. Hopefully, you feel really looped in on what happened in the world of AI. But, that’s what I got. Thanks for hanging out. Thanks for nerding out. Hopefully, I’ll see you in the next one. Bye-bye.