AI NEWS: 5 New Tools, Elon Musk’s Matrix & GPT Erotica Explained

Welcome to the Next Wave podcast. I'm Matt Wolf and today I'm joined by someone you're going to be seeing a lot more of around here, Maria Garib, the head writer of the mindstream newsletter and one of the newest members of the Next Wave content team. Maria's journey into AI is wild. She went from studying international affairs and politics to becoming one of the sharpest AI journalists in the game. Every morning, thousands of people start their day with her breakdowns of the biggest AI stories and. And today we're bringing that brainpower right here. In this episode, we dive Into Microsoft's new AI image model and what it means for the OpenAI Microsoft relationship, ChatGPT's personality changes and Sam Altman's surprising comments about mental health and erotica. We talk about Google Gemini's new calendar integration and a bunch of other stories from Elon's world model to AI catching Lyme disease when doctors missed it. It's a packed episode full of insights, hot takes and future talk. So without further ado, let's dive in with Maria. Hey, Maria, thanks so much for joining me on the show today. How are you?

Thanks for having me. I'm good. How are you?

I'm doing great. Well, I want to. I just want to jump straight into it. We're going to get to all of the big news stories over the last couple weeks in just a minute here. But before we do, this is your first time on the show, but you're going to be back. People are going to be seeing a lot of you around here at the next episode. So, yeah, I want to give you the opportunity to just kind of quickly share a little bit about your background. You know, how did you get into AI? How did you get involved with the Mindstream newsletter? Let's just kind of set the stage for people a little bit before we jump into the news.

Right. Yeah, I. My name is Maria, I'm Lebanese and I moved to the UK like this year because HubSpot acquired Mindstream. The whole story about Mindstream and how I got into AI is pretty probably the funniest thing I've ever done in my entire life because I was. I have degrees in international affairs and politics and I moved into marketing also by mistake. And I was just scrolling on LinkedIn around January, you know, 2024, and I saw that they needed like a research copywriter and I do research in general because I have two degrees in academia, I guess, and I applied and I've been working in AI ever since and writing about it. As a sort of like journalism thing. So, yeah, now I write the mindstream newsletter that pops into people's Gmails every, every day at 7am and it's been amazing ever since.

Very cool. Now, just sort of feeding my own curiosity here. How do you keep up with the news? This, this is a question I feel like I get asked almost anytime I'm interviewed because I, I used to make videos about all of the latest AI news and I have a newsletter as well. And so I'm trying to stay up with the latest news every day. And as we both know, it's just like a fire hose right now. It's a flood of AI news. So I'm just curious like, how like, do you have a process for keeping up with it all?

I mean, I get alerts on Google, which is very helpful obviously in my line of work. But also, you know, how like, attention spans in general have been ruined by TikTok. But TikTok has a really good, it has some good advantages and one of them is, you know, like these short, these sorts of videos that pop up on your FYP every now and then and give, gives you basically, you know, because of algorithm and algorithm catches on what you're looking for. It's been giving me what I need and I would, you know, deep like search, search on this and like kind of like do my deep research and write the blog the next day. So basically that and Google alerts and yeah, whatever the people are talking about, whether it was on X, on Instagram. Instagram has been very, very nice to me lately. I've been getting some pretty good stuff because it's, because of algorithm as well as I said. And yeah, that's how, yeah, yeah, no, that's super interesting.

I mean, I've, I've, I've heard that more and more people are actually getting their news from TikTok for whatever reason. Like, TikTok has never like grabbed me. I, I, I, I've never gotten really into TikTok.

Don't go to the dark side because it is, your attention span is gonna obliterate. It's, I think it's gonna stop existing. So don't do this to your.

But I mean, I do the same thing on Instagram reels. So that's where I was about to go. I was like, I don't do TikTok, but I do Instagram reels, which is.

Probably like the same thing.

Yeah.

Very cool. All right, well, let's, let's just jump right into the news and start like breaking it down for people because there's been a lot that's happened over the last couple weeks and I think the one that I'd like to start with is the Microsoft, they just released their Mai, I think this called Mai Image 1, their new image generator.

Yeah.

And interestingly it's not really being talked about much like I haven't really seen it sort of hit the AI news cycle where people are really like hyped about it.

I think this is one of the biggest thing that they've dropped yet in my opinion. It's called, as you said, MAI Image one and it's their first ever text to image model built fully in house, which is what makes it so interesting. And it's not that it's just also, also by the way, landed on the top 1010 LM arena right out of the gate after it came out. And it's that this is the first real sign of Microsoft stepping out from under OpenAI's shadow because they've been fully dependent on them. I don't know if people know this but they've sort of like, you know, kind of borrowing anyone else of someone else's tech. But this is 100% homegrown as we say. And according to the company, Mai Image One focuses on creative quality rather than quantity, meaning it's built to generate realistic visuals that don't all look like they came out from the same old palette like AI art template. So you get better lighting obviously and more natural reflections and faster results. And this is all without the weird over processed stylus that comes out from all the models. All the models fall into that.

So yeah, yeah, no, it's been really interesting to watch Microsoft's plays in AI. Right. Like they're, they're a 49% owner of the OpenAI nonprofit. And OpenAI has just a very bizarre structure. Like there's a nonprofit that sort of.

Governs a for profit. They run that.

Yeah, But Microsoft owns 49% of the nonprofit sort of umbrella company. But now Microsoft is generating their own models. Right. They've got the, I can't remember what their, their, their models are called. They have the MAI image model, but they also have like some small language models that they've built and released as well. So they're like making models that are competing with OpenAI's models even though they're like a huge owner in OpenAI. But then also recently, I don't know if you heard about this, but inside of the various Microsoft Copilot products, they've started introducing anthropic into those products.

Exactly. Yeah. They've embedded Copilot into literally everything from Windows to Office. And as well as Anthropic this, it's like a creative stack. And they've. They've been doing it for like some time now. But the fact that this is the first thing that they do in house is what people are not catching onto that. But it's huge news. It's big news.

Yeah, yeah. So let me actually share my screen real quick because I did play with it a little bit. And there's one way that you can use it right now. Like, it's not open to the public. They haven't built any sort of like AI image generation.

Sort of platform yet, but they did put it over on LM arena where you can sort of test different models. So if people aren't familiar with LM arena, basically what it is is they. They give you a box to enter a prompt. You enter a prompt and it will give you two outputs. Whether it's a text output or an image output. You. It'll give you these two outputs, but it won't tell you which model these two outputs are. Yeah, you pick which one you like and then it tells you which model you just used. And then over time, that's what informs the leaderboard and figures out the rankings of these models. And so LM arena right now is the only place that you can test it. And if you go to LM arena and you select Direct Chat up in your little header menu and then you select Mai Image as the model you can actually directly generate with this Mai image model.

Yes. So cool. It's like the Olympics for AI models in the Marina. Honestly. This is how we define it. Honestly.

Yeah. And this is how everybody discovered nanobanana when it came out as well, right?

Yeah, exactly.

When nanobanana went wild and everybody was using it, it was mostly being used on Elamarina before they finally opened it up and finally put it in the Google products 100%. But I wanted to share these images that I generated because I always like to test a few things. Right. I want to see if it will generate actual real people. So I asked it to generate Sam Altman. Shaking hands with Elon Musk.

And is that Sam Altman?

It's supposed to be. I mean, you can tell this is supposed to be Elon Musk. I would say maybe this is Elon Musk like 15 years ago. Elon Musk. I would say this is Elon Musk today.

I hope he doesn't see that.

But I don't really see any resemblance to Sam Altman on this picture here. So it seems like it'll generate like some known names, but not all known names. I guess Sam Altman is just probably more, more images of Sam Altman on the Internet that got sort of scraped into the training of this image model. I would, I would guess so. The other, the other prompt that I wanted to test was a three headed dragon wearing cowboy boots, watching TV while eating nachos. And the goal here was to just shove a lot of things into one prompt and see if it got them all right.

That is so cool.

And it actually did it all three headed cowboy boots, nachos, watching tv and I'm like, damn. It actually followed all of my directions. Because a lot of times when I test this on other models, it'll get like two of the things but miss two of the things, you know.

Should have added like a cowboy hat, honestly, in my opinion, because like this it would fit.

Yeah. Yeah, it would.

So that's what that one generated. And then I was curious, will it generate trademarked ip, you know, Mickey Mouse, Mario, things like that. So I put Mickey Mouse high five. Super Mario, no problem. It did it. Although they're kind of high five with.

The back of their hands. Yeah. Like, I don't know who does it. Maybe Italians do that. Who knows? But yeah.

And then I just did another sort of like trademark test. SpongeBob SquarePants. Batman and Spider man taking a family portrait together, right?

Yeah. SpongeBob looks like he's happy to be there, which is cute. Yeah.

Yeah. But there's definitely some hand wonkiness still. You can see it in Spider man. You can see it in spongebob.

It's always the hands. I don't know if people notice, but like it's always something. It messes up with the hands. I don't know why.

Yeah, hands are always a problem.

Yeah.

So those, those were the tests that I did. I only did a handful. I was planning on going deeper, but just haven't had the chance yet. But yeah, that's, that's how you use it. You can use it. Element Arena. And that's, that's kind of what it does. But curious. Do you, do you have any other like, sort of thoughts or have you played around with it at all yet?

I haven't really, like, I haven't really played that. Like, I tried to open it. I think it's not really still available for the uk. I haven't really checked yet. Maybe it is today. We'll See, but I think they're trying to prove that they can't really. They want to compete head to head with OpenAI modernity and stability. But from the results so far, I mean, their website showed really good, some pretty good stuff. I mean, their images look not so bad in my opinion. They're looking good so far. But from what you're sharing, I think this is more refined from the end. So, yeah, they're trying to compete. They're trying to compete, but it's not gonna. Yeah, it still needs work in my opinion. Like nothing beats midjourney so far. And from what I've seen, it needs a bit of work.

Yeah, yeah, I agree. And I mean, when, when these companies release these models, whether it's a video model or image model, they're always gonna probably cherry pick the best results to put on their website, you know, so who knows how many times they had to prompt something before they got it website worthy.

Yeah.

Real quick, I just found out about this AI Dragon Slayer quiz that HubSpot just dropped. It's part game, part business assessment. You answer 15 strategic questions, get scored across five key domains and you get a personalized roadmap that shows you exactly how AI is affecting your business and what you need to do next. Start the quiz right now. You can scan the QR code or click the link in the description. Now let's get back to the show. The next thing that I wanted to talk about is I wanted to shift over to ChatGPT a little bit. You know what, I might as well just open up the tweet. So if you're listening to the audio, we'll read the tweet as well. But obviously there's some visuals here that we're showing if you're listening in.

So Sam tweeted on 14th October that we made ChatGPT pretty restrictive to make sure we were being careful with mental health issues. We realized this made it less useful, enjoyable to many users who had no mental health problems. But given the seriousness of the issues of the issue, we wanted to get this right. Now that we have been able to mitigate that serious mental health issues and have new tools, we are going, we are going to be able to safely relax the restrictions in most cases. In few weeks we plan to put out a new version of ChatGPT that allows people to have a personality that behaves more like what people liked about 4o. We hope it will be better if you want your ChatGPT to respond in a very human like way or use a ton of emojis or act like a friend. ChatGPT should do that, but only if you want it not because we are using usage maxing in December as well as we roll out age gating more fully. And as part of our treat adult users, like adult principle, we will allow even more like erotica for verified adults. Yeah, this is what's been happening in the GPT house, in the OpenAI house. So the thing is, when GPT5 came out, I was so excited because I, you know, I use. Sometimes I use Sagittaript to refine the stuff that I do. I am not an English speaker, this is not my native tongue. So sometimes I make mistakes, like I need to, you know, refine some of the stuff that I do because obviously I'm gonna make mistakes. And everything was all good until it was so cold towards me and I was like, why are you doing this? What did I do to you for you to be so cold to me? I was, I. I thought we were friends. Like, I thought we were, you know, I, I was trouble dumping to you last week. Why would you do. Yeah, so obviously they did this because they, they've been having. Some people have been having deep conversations with them and was giving, you know, because of the data and stuff, it was giving them kind of false information and they were relying on it with their mental health stuff. And, you know, it's not really advised to do that. So he admitted, like, this is. We made it more serious, but still it hurt. So now, now they're like, you know, they're shifting a bit and they're trying to make it, you know, more human. Like, not. Sorry, not more human, but like, sort of closer to people and they're like, less restrictive. They were obviously, you know, worried about, like, people forming emotional attachment and like, you know, while they were struggling with mental health and they stripped it out of all the personality, but I think now they're allowing it, like back to being friendlier, I guess is the correct term. So.

Yeah, yeah, no, it was kind of crazy because when, when GPT5 came out, you know, it. So stepping back, when GPT4 came out, it was a big sort of monumental day. They made like. They put on keynotes the whole world was talking about. It was like the biggest thing of the, of the week when that happened. Right then, GPT5, you kind of expect something like that. Like, if, if you're doing a whole number, it's not like a 4.1 or a 4.0 or 0 4, whatever. Right. It's not some Weird naming convention. It's actually a new whole number. You'd think it'd be like this big, monumentous event. But it seemed like when GPT5 came out, most of the active users were, like, really bummed about GPT5 and what it did. And I remember on Reddit, there was just so many people on Reddit basically talking about how they broke down in tears because they felt like they lost a friend and all of that kind of stuff. And it was wild.

It's like. It's like where we're having. It felt like I was having. I was waiting for the we need to talk kind of moment. And I don't like that moment. Like, don't do this to me. Like, I don't want GPT to do this to me. I've been forming. Forming some sort of, like, friendship with it anyway. But, yeah, I think Sam Altman is, like, basically saying that, you know, we're trusting adults to be adults again. As he said, it's like a huge shift, like, not just technically, but emotionally, obviously, because they're acknowledging that ChatGPT isn't just like a productivity tool. It could be, like, for many people, some sort of companion. And, you know, I would say so myself, because there are some. There are some times where you would talk to GPT and it's less as judgy like normal people are. So, yeah, a lot of people trust ChatGPT not to give it some sort of prejudice or, like, you know, so they need to be able to communicate with the tool without having to feel like they're walking on eggshells.

Yeah, yeah. And back when GPT5 launched, it only took like, 24, 48 hours before OpenAI went. Okay, the old model's back, so you can go in and use it again.

Like, we're sorry we did this, but here's like, don't freak out. Like, I can't. So people freaked out, including, we killed.

Your friend, but we brought him back from the dead, so it's okay.

That's okay. Yeah, that's. Yeah.

But, yeah, I think one of the wildest things about Sam's tweet there that we just read was the sort of erotica aspect of it. I would have not have anticipated ChatGPT to go in that direction. Elon, Musk and Grok, sure. That's what everybody expects him to do.

He does that. He tends to do that. Yeah. By default. But, like, Sam, like, are we okay with. I thought, like, you were like, you know, PG 13. What is happening right now?

Yeah, yeah. So that'll be interesting. And I'm actually really, really fascinated and curious to see how they pull off their, their sort of age algorithm. Right. Because they, they basically said they're not going to just do a, like, hey, what is your birthday? And then like select a date. Right. Like, you know how sometimes you might go to a website for like a, like an alcohol company or something and it'll ask you to enter your birthday so they, they can verify that you're the right age. Right.

In the uk, I think in the uk, they, we, we do have these laws that when you need to enter like any adult sort of website, whether it was to buy alcohol, to buy this or to buy that or like to, to watch something, uh, you have to prove it with an idea. Like you have to prove it with a selfie and that selfie needs to be proven and obviously the picture is not being used, but just to prove that you are an, actually an adult. So I think it's going to be the same route as what we have in the UK right now.

Yes, I, I, I agree that that's probably so what, what Sam Altman sort of alluded to doing is that they were going to basically look at the conversations that you're having with ChatGPT and try to figure out your age based on how you talk to ChatGPT as opposed to a more like traditional, like age verification. Yeah, because the whole like showing your idea d thing that I think has been a great method for the decade prior, I don't think that's going to be a good method for the future because Nano Banana exists. Ma.

Image one exists, you know, imagine, imagine exists. All of these tools mid journey, all of these tools are going to be capable of creating a fake ID for you that you could probably use to sort of fool the generation systems.

Like you can make a whole passport with absolute details and like, I'm not giving people ideas, I hope not. But this is, this is the, this is what's going to happen. People are, people aren't dumb. Like what people forget that, you know, people are not dumb. People can be very creative and like.

Given and the younger generations, younger generations that are growing up like native computer, native Internet, native AI, like they're growing up in a world where this stuff has just always been here. So they're very, very, very tech savvy and, and so, And I think OpenAI knows this, right? They know that they can't just do a, you know, hold up your ID to the camera. They know that they can't Just do a, enter your birth date so we can verify your age. That stuff's not going to work. They have to figure out other methods and, and it seems like their path is to sort of analyze how someone chats with ChatGPT and then guess their age based on how they have discussions with it. So you theoretically could be a 45 year adult. 45 year old adult that just has a, you know, really dirty mind or something and it will think you're a kid and block you out.

We think you're 15. Yeah. With like the IQ of a 15 year old. That's of kind going to be what it is.

Exactly. So I, I think that's the thing that I'm most fascinated to see how they implement it is that.

So we'll see what they could be capable of. I don't know if, Yeah, I don't know how they're going to pull it off though. Like we, we just have to wait and see.

Yeah, for sure. And then, you know, I'm, I'm sure they'll figure out a standard and then this will become what Google does. This is what meta does, this is what all the platforms eventually do. But I think they need to sort of iron out that standard first and figure out how to do it.

Yeah, exactly. I'm fascinated about like how Sam does all his things and how he runs the company and it's been probably the most successful company so far in my opinion, and that's me. But I think it's been the most successful AI company in the world right now. Everyone uses ChatGPT. Even my grandma's about to start using it and she's like 80 years old. So yeah, it's been.

Yeah, well it's, it's it. OpenAI is the most valuable privately held company on the planet. It used to be SpaceX, now it's OpenAI. So they're valued at 500 billion, a half a trillion dollars. I mean they're valued at a bigger number than most companies on the stock.

Market are probably 100% probably.

So they've become pretty huge. It's funny because I was at dinner last night with some friends and my friend's a mechanic, he works for Honda and he turns wrenches under the hood of cars and he, he at Honda, his, his, like he's not a computer guy, he doesn't really use computers ever at all. And his work is actually forcing him to use Chat GPT essentially now to do like performance reviews for his employees. So he's having to basically learn how to use a computer and learn how to use ChatGPT to do his job. Because they basically said, this is how we do it now moving forward. So, I mean, it's getting integrated into everything, literally everything.

The only thing I'm actually looking forward to is the fact that I'm going to wake up and everything in my house is automated and it makes me an ice soy latte. This is what I'm going to be most excited about. The other stuff, like, you know, like, if they want to save the world and stuff, sure, amazing. But I really want that ice soy latte in the morning. So, yeah, I hope that.

Just thinking about that, it's funny because what I think of is, like, I remember. I remember the Internet when it first came out, right when it was like, dial up and it was super, super slow.

And.

And now we take, like, the Internet speed for granted. So, like, if I have a day where, you know, maybe there's a power outage in my neighborhood or the Internet goes down for a few hours, I'm sitting here going, what the heck? I can't do anything. Like, I'm totally lost. I don't know what to do with my day, what to do with my life. I'm like, I need to be on the Internet to, like, do my thing. And I wonder with, like, a lot of the smart home automation stuff, like, what happens when the power goes out? What happens when your Internet goes down? Are we going to just, like, forget how to make our own coffees?

I don't want to jinx it. Like, it didn't happen yet. I really don't want to jinx it. Like, what if that happened to me and I wake up and there's no ice soy latte? What am I supposed to do? Like, I need. I need that to work out for me, Matt.

Absolutely. All right, well, cool. Let's. Let's move on to, like, the next topic here. Google Gemini just added calendar integration. This is actually something I haven't played with yet, but I know you've. You've kind of looked into it. So, you know, what are your thoughts on this one?

So obviously I don't get to play around with all the tools because I have to write about. About them every single day, which is like, it's. It's a whole thing. But what I've seen from people and like, I've seen really good reviews so far from people that have, like, started sort of using it, but also looked into it is that now that there's like, we had, like, you used to have like this back and forth of like, you know, we're trying to schedule a meeting and like, does Thursday work for you? Like no, maybe Friday. And like these kinds of stuff and it's all chaotic and people, some people are not type A, you know, like me and others, some people are very, you know, they want something to happen, but they're struggling to make that work. And Google finally said enough. And we're gonna probably launch a new Gemini powered feature in Gmail called Help me Schedule. And I love the name, honestly, it's like a really nice name. It's kind of a genius. If you hit one button and Gemini sort of scans your whole calendar and finds an ideal time and slots and automatically plugs them into your email and it basically finds the right time for you to have that.

Meeting and when the other person kind of picks one as well. Because it's like a back and forth, there's an invite, it happens. Like no doodle, no passive aggressive follow up. Because a lot of people do passive aggressive follow ups and I don't like it as per my email. So what's smart about this is that Gemini doesn't just look at the availability, it actually reads the context of it all. So if someone says like, can we do a 30 minute meeting before next Friday? If it kind of filters out your open slots and like try to match what exactly that, like if it can do that on Friday. So it's context aware sort of scheduling, which is beautiful. It's amazing. And for people that have a lot of like, for people that are very busy and like have, have to have a lot of meetings all day long, like back to back, this is very useful and it's a very like sort of a small change, but it kind of like completely redefines what we expect from AI assistants.

Yeah. So again, I haven't really looked into this one too much, but it's like, so if somebody emails you and says hey, I'd love to jump on a call next week, do you have any availability? Does Google just jump in and respond? Or would I send an email saying, hey, I'm tagging Google to find a time on my calendar?

I think it does it automatically. Like it's just like kind of like scans it out and kind of finds what you have and what they have and like kind of merge it and like sends the invite. So that's how. And if they both pick the right time, it kind of creates the meeting or like kind of schedule it.

Yeah, yeah, yeah, yeah. It's interesting because one of the Things that I'm constant. I feel like I'm constantly talking about this with like OpenAI and Google and these companies is that they figure out what the AI that they developed is being used for in other companies and then when they find like use cases that other companies have done well, they go, cool, we're just going to go build that ourselves.

They run and yeah, they run. They run with it. I like it so far. This launch obviously is not random. Like it's, it's been because they do a lot of stuff. They kind of like, how do I explain this? Like, you know how like I don't like to do the comparison but in my mind this is the comparison. You know how like you'd find like a really high end brand that does this nice bag all of a sudden Zara or like Mongo or like these kind of like smaller, not smaller shops but like kind of chain shops do the same thing. This is how it's working out in the AI world. It's part of obviously a bigger Gemini strategy. So Google's quietly, you know, threading AI through every corner of the workspace. So we have it in slides, which is awesome by the way. I do a lot of presentations and it's amazing. And then now it has like AI images and like AI image tools, et cetera. Notebook lms. I haven't really played out with Notebook LM yet, but it's pretty smart so far. And even Google Vids is getting an AI revamp. So yeah, Gemini, Google in general likes to run with an idea and kind of like keeps on building and building. It's like a block of things that keeps on building, which is awesome. Google is amazing. I like it.

Yeah. But it does sort of beg the question, you know, what company can I build using AI models that, you know, Microsoft, Google, OpenAI aren't just going to go and build and compete with me later, right? I feel like that's kind of the question. We've been hearing this for years now around AI is, you know, no companies have a moat anymore. And I feel like if you're building a company on OpenAI's technology, on Google's technology, on even now Microsoft's models. If you're building technology on top of these things, are you able to really build any sort of moat for your business? Because if something really takes off and really, really works well, there's a pretty good chance Google or OpenAI is just gonna be like, oh, that worked well. For the company that's using our API.

We'Re gonna run with It, Yeah, let's.

Just skip the middleman.

Yeah, it's a very tough market right now for people in small startup companies. Obviously it is worrisome, but I think this is how you'd find out who is the most creative one in the game. And it's a game of who's the most not powerful and who's the most creative right now. So even if that happens, it just takes the right person and, you know, to market it the right way and to make sure that they build their own guardrail so that no one else steals it. So we just wait. We have to wait and see. People have, as I said, very creative. So we'll just have to see who is the most creative of them all, like Lord of the Rings and stuff. So.

Yeah, I agree. I think, you know, people figure it out. Right. I think we always sort of find solutions to these kinds of things. And in my opinion, I think the big differentiators are going to be two things, user experience and customer service. The companies that can figure out user experience and customer service are probably always going to mostly outperform, you know, a version that Google made, but it's not like a main sort of thing for Google. Right. If this is this company's main thing and they can put all of their focus on, yes, you can do this with Google, but we have way better customer service. We're going to walk you through it, we're going to hold your hand and you have a better user experience. It just feels more intuitive, it's easier to use. You like the color schemes, whatever, those are going to be the differentiators because the underlying technology that powers almost all the tools in the future are all going to be fairly the same.

A hundred percent. Yeah. I think like if they build something, if anyone like creates a startup and we can see a lot of startup, I don't know if people have access to, there's an AI for that, but there's always something, there's always an AI tool. So it just takes the right. If I go on like a live chat with that on their website and no one else is there, I'm going to be pretty upset. But if they kind of guide me out of the problem, I'm probably going to use it forever because I know for a fact that they care that I'm having problems with that. So yeah, as you said, UXI and customer service, et cetera.

So yeah, yeah, yeah, absolutely. And more and more companies are like using AI automations for their customer service, which I believe is going to make Real human customer service feel much more valuable and premium. So I think there's that element as well. Cool. Well, there's, there's a handful of other news stories that have come out in the last, you know, few weeks that maybe we don't need to go as deep into, but we can just kind of look at them from a surface level, help people, you know, sort of be aware that these things came out the day that we're actually recording this video. Google just launched VO 3.1, which is about 10 days after Sora 2 came out. So we've got two video models within a two week window that both came out really, really, really close to each other. I don't think either of us have had a chance to play with VO 3.1. It's so fresh at the time of this recording.

Came out today probably.

Yeah, I mean today, the day we're recording this and some of the claims they made about it, they basically said it's much more prompted here now. It's a little bit more realistic now. The sound effects are pretty much the same, but you can also do start and end frames now. So you can actually give it like a starting frame that you want the video to, you know, start with and an ending frame and it will figure out how to animate between the two frames. That's one of the newer features that they just rolled out with 3.1 as well.

Beautiful.

Which I'm, I'm really excited about because when you take Nano Banana and you take something that gives you start and end frames now you have like endless possibilities for animations because you have your starting image, right? And then you take it and you give it to nano Banana and say, you know, make this person facing that direction instead of this direction. And then you put both images in V03 and now you can animate it between the two scenes that you generated. So that combo of nano banana and VO3 gives you this like infinite customizability of creating almost any animation you can imagine, which I think is what's really exciting. And I think it's only a matter of time before Nano Banana and VO3 are all just sort of clumped into one sort of video making platform.

In my opinion they should be. In my opinion they should be. Because can you. I. I'm speaking from. For all the nerds out there and the people that love, you know, game. I'm not a gamer, but I am a book gurney. So can you imagine the amount of stuff that we can create? I have been on TikTok obviously, with, like, Booktok and everything. And I've been seeing what everyone has been creating and it's just beautiful. And I think the, you know, creativity goes so far, but, like, people are so creative. Can you imagine, like, your favorite character is coming to life. You've been seeing them in books. And I'm saying this from my own perspective, and I know a lot of people that maybe could be watching this. They know what I'm talking about. Having our favorite characters, whether it was in a game or whether it was in a book or whether it was anything else, like a fantasy book or whatever, coming to life. This is what we want to see because we don't get to see it every time. It doesn't get picked up by any production house or anything. So it's awesome. We are so excited about this. So, yeah, the nerds out there are, like, wooing right now.

Yeah, you can make your own sort of visual fan fiction.

Exactly.

That's awesome. Yeah, no, I, I, I'm, I'm really excited about these tools.

Again. I always look at almost everything that comes out in AI from, like, both sides, Right. I look at it as, like, this is really fun. I love to, like, make these kinds of videos and I have a lot of fun with it. But then I always, I look at the other and I always wonder, all right, well, where is this all headed? Right? I have this sort of, like, tinfoil hat theory about platforms like meta and TikTok and things, or yeah, Instagram Reels and TikToks and things like that is that if we can generate videos with AI with prompts right now that look really good that people want to watch, at what point Does Meta and TikTok still need the human to actually physically type the prompt? Right? If I can get on TikTok and start scrolling and it knows what videos I sort of pause on for a minute and watch the full video, and then I go to the next video and I kind of skip over it quickly. That's how TikTok learns, right? It pays attention to what you sort of stick on and what sort of stuff you scroll past quickly. Gives you more of the stuff you stick on and gives you less of the stuff that you scroll past quickly. Well, at what point do the AI algorithms go, okay, well, he tends to stick on this kind of stuff. Let's generate prompts in the background that just generate more videos, like the stuff that he sticks on at that point. Are the creators still necessary? Because I'm getting my dopamine hit of like, ooh, I like that video. Ooh, I like that video. But it's just being generated in the background. I think that's where like my concerns lie with a lot of the video generators.

I have the same concern. Obviously I don't want to be sticking on the same exact thing. Could be like a never ending loop of infinity stuff that I've seen, seen already. Like, I don't want to be, you know, seeing the same exact video but like from different font, you know. So, yeah, it is. I'm also curious to see how everything's going to turn out. Is it going to stay on the same algorithm? Is it, is my FYP just going to be the exact same video or like something else? So, yeah, we just algorithm changes. I mean the algorithm on LinkedIn is changing. What if it's on TikTok? So, yeah, yeah, we'll have to see, we'll have to wait and see how everything turns out to be.

Absolutely. And then also the day that we're recording this, Anthropic released a new model. Right. They just released Haiku 4.5 and Haiku 4.5 is actually cheaper to use and it's faster than Claude's Sonnet, I think Sonnet 4. I don't know about 4.5, but I think it's cheaper and faster than Claude Sonnet 4. And it's a free model that you can, anybody can just go use at Claude's website. So you don't even have to pay if you want to go use this new model.

So my opinion on large language models and these like rollouts of a new LLM, I feel like there's at least two new LLMs every week, right?

Like probably two to three. Yeah. Business days. Yeah.

And yeah, yeah, like every, yeah. There's two or three that come out every single week. And all of them to me feel like fairly marginal improvements. Right. Like they got, they, it got slightly faster, it got slightly smarter, it hallucinates slightly less. But then I look at, you know, the. So we're, we're, we're AI tech nerds. Like we're, we're in it, right? We're, we're seeing all these models. We might get excited by these like small improvements, but like 95% of the world that's not paying attention to like every new rollout that comes out with large language models or AI. Like 90% of the world doesn't really care that a model got 0.5% better on some sort of benchmark. Right. Like most people don't care. So a Lot of the, like, new large language models that come out, I tend to kind of like tune out and go, yeah, that's cool. And just sort of ignore it because I'm probably still just going to use GPT5 or, you know, the Gemini models that I'm already using.

I mean, no offense to Claude, but I do like my GPT right now. I hope that people at Anthropic don't feel offended by this, but, yeah, I mean.

It'S just like, my mom started using GPT the other day, and, like, she was fascinated by it, but, like, she doesn't care if, like, GPT 5.5 is going to come out. I don't know, like, next year, you know, because it's going to give her the results. So it's just. Yeah, the upgrades are not upgrading, in my opinion. It's just the same. I want to see something insane. Like, I want them to create something huge. I'm not asking them to go on the moon right now. Like, they can, but, you know, like, give me something that kind of, like, shocks me. I want to be bamboozled by it. Give me something that would shock me to my core right now. The 4.5 stuff is cute and everything. Just. We want to see more things, please.

I also feel that, you know, being immersed in AI all the time, I've become harder to impress. You know what I mean? Like, we see stuff all the time and we're like, ooh, that was actually kind of impressive. And then you see another company do something similar that's slightly better. Yeah, that was done last week.

They did it like, give me something new, bro. Like, I don't want to see the same exact thing with different fonts.

Yeah, yeah. So that's kind of how I feel about the new large language model releases. To me, it's mostly just kind of meh. That's cool. I'm excited about the next big leap, not the next marginal leap, you know? Well, cool. So let's talk about Elon, because Elon is, I guess, been talking about an XAI world model, and there's been a lot of talk about world models, and if we're talking about things that are kind of like sexy, big leaps that really excite me, World models are actually one of them. Like, when we saw. Was it Genie? Is it just Genie, or is it Genie 3?

I don't remember what it's called, but yeah, it was. Yeah.

But Google showed off their. Their genie model, which looked really, really impressive. And then you have World labs.

That was impressive. That Was news.

Yeah, yeah, you have World Labs co founded with by Fei Fei Liquid, which is building these world models as well. And I got a demo. I went to a 16Z in New York a couple weeks ago and met with the people who made World Labs and they gave me some demos of what it can do. And it was, it was mind blowing. I mean, people were walking around these fully AI generated synthetic worlds that they created by actually scanning these worlds in with their phone. Right. They were using the, you know, Gaussian splatting technique to. Yeah, I don't want to get too into the weed, but you know, they scanned in all of these images. Those images turned into a 3D world model that they can then walk around ground in. And I guess Elon's doing something similar. I actually haven't heard about the XAI world model, so I'm hearing about it for the first time from you. But I'm curious, like, what's the story there?

I mean, can Elon sit still for like five minutes? I don't think so, because he's gonna do something huge, obviously. So yeah, AXAI is now building the world models and it's basically AI that doesn't just read for people that don't know what that is. It's like the, it's like the word, it doesn't read the world like ChatGPT does. It understands it. So it's like it goes into the nooks and crannies and these models learn physics from the videos and robots and they can simulate reality. So you know, think AI that knows how things fall and move and crash and you know, so he's even teasing an AI generated video game next year people, the nerdies out there, who knows what I'm talking, they know what I'm talking about. But the big, the big picture is that if this works, which is it's gonna, it could change robotics and gaming and it could be insanely hard to train. Obviously, you know, you'd need data over data over data that basically mirrors the real world that we live in. So is Elon trying to build the next matrix, you know, or like, who knows? We're trying to see what he's up to, but yeah, that's what basically is.

Yeah. Yeah. I think that for me there's a handful of really fascinating things about the world models. But I think the one that is sort of the best use case right now is using these world models as virtual environments to train, you know, robots or self driving cars or things like that. Right. It's A lot safer for everybody involved to put a robot into a virtual world. Like put the brain, not the physical robot, but like, you know, the brain of the robot into this virtual world. Let it learn in a virtual real environment. Let it like trip over things, let it learn how to walk, let it learn how to do all the mechanics that it needs to do in this virtual world. Then you take that brain that was trained in a virtual world, put it into a robot in the physical world and it already understands how to do. It's like the Matrix like you mentioned, like the robot now knows Kung fu because it's sort of got it learned in a virtual world. But for self driving cars and things like that, I think that's really, really exciting. I think that's, that's something that's going to really, really speed up the time to market of a lot of products of a lot of self driving cars and robots and things like that. Because in a virtual world you could do it at, you know, exponentially faster speeds than you can in the real world. So you can train a lot faster.

100%. I think as I said, the people that know how things work with virtual reality reality are gonna nerd it out. They're gonna probably lose their minds with what is coming. And Elon doesn't go, whether you like him or you don't like him, he doesn't go like just, he doesn't just do it on the surface, it doesn't do it at the surface level. He goes deep. So we're gonna see insane stuff. We just have to wait and see what he's up to. Yeah, he might be like, sound like a Matrix thing.

He might be like a year late on his timeline because he's never really very good at estimating times but. But he'll do it.

But he's probably going to do it.

Yeah, yeah, yeah. It's funny that the companies that I think are the most best set up to actually develop these world models to me are Tesla and Meta. Because Tesla has all of the camera sensor data from its cars. Right. So it can use all of that data to train world models, but it's only going to train world models on what it can see from the street. Right. It's not going to get those world models and nooks and crannies and inside of buildings and stuff like that. Meta, on the other hand, they've pretty much pioneered putting cameras on everybody's face. Right. With the Meta Ray Ban glasses.

Yeah.

So I feel like. And they definitely want that visual data to Train AI models. In fact, when you get the glasses, I think you pretty much check a box saying you can use the visual data that I collect from my glasses to train models. And so to me, it's, it's fascinating. I think that's. Those are the two companies most sort of set to train these world models, and neither of them are really talking about world model. Well, I guess Elon is, but he's probably using the Tesla data.

Meta isn't to do it. So like, we have to see what Meta has to do. But what I wish for Meta is that, okay, sure, Ray Bans are cute, but like, can you go for like another house? Like, can you maybe like do Pradas? I would love to wear Pradas.

Yeah.

Rather than Ray Ban. I don't want to wear Ray Bans.

Like, well, they rolled out Ray Bans and then they rolled out Oakley's. So I mean, and, and to be honest, like, there's pretty much like one sunglass manufacturer that manufactures all of them, right? Is, what's it called? Luxor Exotica or something. I can't even think of the name. But. But there's one parent company that owns Ray Ban, owns Oakley. I don't know if Prada is one of them or not. I, I don't know which companies they should partner with.

Prada. This is all that I'm asking. I want to walk out looking nice. I don't want to wear Bray bands. They look cute. But like, I want to, I want nice product. I want to look expensive, but I don't want to look like I have. Like, I don't want people to know that I'm wearing Ray Bans.

And I do think that's actually their roadmap is to get them into like more and more styles of glasses. So everybody gets like their style, but with the extra features.

Yes, please. This is my official request. Please. Thank you.

Let's talk about the Google AI makeup thing. This is something I just saw briefly, but it seems to be some sort of filter inside of Google Meet now that's leveraging AI.

I can't wait to use it. Yeah. So Google Meets it just became like everyone's favorite coworker because you know, like, you know that the one who says like, oh, if want to go on a meeting and you look like you woke up from a bad night, like after a bad night, or like you've been hungover, I've got a concealer to cover everything up. So, you know, they've launched an AI powered makeup filter for those Mornings when your face doesn't, it says you didn't sleep. So. And There are like 12 virtual looks, which is nice. But the wild part is that the filter doesn't glitch when you move and it stays, you know, so you can sip coffee, blink or like side eye your boss or like do whatever you want with the makeup. Staying flawless. I, I am a very makeup girly. I like makeup a lot, so I cannot wait to use it. I don't want to just have to wear my makeup every single time. I'll go on meetings if it's like an open cam. I really want to make sure everything looks good, but I haven't worn anything that day, so.

Right.

Obviously beyond the fun, this shows how far real time AI tracking has come. And it's just, you know, like smoothing faces and reading motions with scary precision. But I like it. This is what I want.

I need one that's like a AI hair fixer. Why do you think I always wear hats? It's because like a lot of times I jump up and go jump on calls and I just need to throw on a hack because I wasn't able to brush my hair real quick.

Men are so lucky. Like it's just a hat. I have to have like a full makeup on because I. Because yeah, that's complaining about hats now and like wear something and I have to put makeup on.

Yeah, I guess that's. Yours is probably a better solution to solve than mine. Yeah, that's true.

They probably like to do something about the hair. We have to wait and see. But yeah.

Cool. And then the, the last little one that I want to talk about is something that I. When it comes to the AI world, this is the thing that I think is going to be the most beneficial to humanity as a whole. Right. Is the ability for AI to sort of early diagnose diseases, find new cures, find new way treatments for diseases, things like that. And I guess there was a news story in the past few days about how AI helped somebody diagnose Lyme disease when doctors couldn't diagnose it.

Yeah, the story was pretty shocking. We covered it on the Mindstream newsletter and there's a man here in the UK that used AI to figure out what his doctors, his GP couldn't. For people that don't what GP is like gender practitioner. This is what they use in the uk. So after years of being told his symptoms were anxiety and being gaslit, he typed them all into an AI AI tool and it kind of, it suggested Lyme disease. So after a private test, it confirmed that it is. And he said, like, if I haven't, like, I hadn't persisted and like, used AI, I wouldn't have known that I had that. So it's both incredible and like, obviously for a lot of people, a little unsettling, you know, like, proof that AI can connect medical dots a human might miss. So, but also like a reminder of, like, why self diagnosis still comes with real, actual risks. So it's wild. It's wild. A lot of things. I myself had the same experience, but, like, not as close to something as serious as the Lyme disease. Like, I was like, looking for something for my hair because I felt like, you know, the. I changed environments. I came from my home country to here, and the water is different. You know, the water in the UK is thicker, so it kind of, it's sort of like, like, confirmed to me that it is because of the water here in the uk And I. This is what I need to take and what kind of like, product I need for my hair. So, yeah, soft diagnosis is it comes with risks. And you should. I. In my opinion, even though, like, the people are going to hear this, like, oh, doctor is not going to be, you know, necessary anymore, etcetera. They are. You can do both. If you feel like you want a second opinion, you can go to a third opinion. That's how it is. Like, people don't go to one doctor to find out what's happening to them. On normal days, whenever we find like a molar or something, we always have a second opinion. That's the same exact thing, in my opinion.

Yeah, no, I totally agree with that. I don't think doctors are going anywhere. In fact, I just think doctors are going to get better at their jobs. I think AI is going to assist them in diagnosing stuff that maybe they. They missed somehow. I think it's going to help recommend treatments for things that, you know, maybe they wouldn't have just normally thought of off the top of their head. So I actually think it's going to like, really, really improve the sort of healthcare experience of, of getting things right the first time. And Lyme disease is a really good one to figure out because Lyme disease is really, really hard. Unless. Unless you can see like, the little tick bite with the, like the little circle that shows that you got Lyme disease, right? Like there is, if you catch it quick enough, you can, you can spot that it had Lyme disease. But after that goes away and there's no, like, markings to show it Lyme disease sort of manifests itself in a way that feels like 15 other things. Right. And so most people that get Lyme disease, it's like they think it's this, then they think it's this, then they think it's this, and then finally figure out that it's Lyme disease.

Exactly.

So it's one of the more hard, one of the more difficult things to diagnose. I only know some of this stuff because my son had a Lyme disease issue a long time ago when he was younger. But it is one of those. It is one of those things that, like, it's really hard to diagnose, so. Oh, yeah, that's pretty exciting that they. That it can. It can sort of connect those dots now.

Yeah, exactly. It's relieving for a lot of people. A lot of people have anxieties over that. It causes more anxiety. Like the fact that you don't know what's happening to you is going to make everything worse, because that's how it is. Like, your mentality is going to be stuck on the idea that I can't find anything and it's going to get worse and worse.

So, yeah, absolutely. I mean, it's. It's a fun world to be in. I mean, how. How have you been enjoying diving into, like, AI stuff? Because to me, it's just been so much fun. Like, every. I feel like. I feel like a kid on Christmas where I'm just getting new toys constantly and they're like, here's a new toy to try. Here's a new toy to try.

Yeah. The thing is, when I was start, when I was studying politics, obviously people were like, oh, you know, like, you're studying something so rigid. But actually it isn't because of how everything unfolds in the political world. The same thing is with AI. Every second of every minute.

Something pops up. What happened today with Veo. And people are going to see this today next week, but it is today. So it's very refreshing to wake up to new news. It's very refreshing to see what AI could help with and call out these missteps that it does, obviously, because we are human at the end of the day, we're gonna call out when there's. There's a mistake. But yeah, I've been loving it so far. Especially the fact that I get to write about it is the best part about it all, honestly. So, yeah, it's.

It's awesome. A little overwhelming at times, A little bit of a fire flood of information at times. But it's. It's a lot of fun. Well, very cool. So you, you, you write the Mindstream newsletter, which goes out, is it five days a week? Every business day?

Every seven days. Seven days, yeah, we do it every single day.

I think it depends on where you are in the world. In the UK it comes out at 4pm for a lot of people at 7am so, yeah, that's how it is.

Very cool. Well, if you don't want the AI news to feel like a fire hose, getting a little quick daily report on what's going on could be helpful. So, yeah, definitely check out the Mindstream newsletter. And Maria, this has been an absolute blast. I'm looking forward to doing more of these and just kind of nerding out with you about future AI news.

I'm so glad to be here, honestly. This was awesome. Thank you so much.

Awesome. Well, thank you. And hopefully we'll see everybody in the next one.

Yeah, see you.