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AI for Humans
Claude Opus 4.7 Has Landed. The AI Acceleration Is Real.
Anthropic dropped Claude Opus 4.7 with better vision, better coding andā¦ better everything. And, along with OpenAI's new Codex, AI is accelerating ever faster. This week on AI For Humans, Anthropic released Claude Opus 4.7, a major step up from Opus 4.6 with better visual reasoning, improved softwar
Show Notes
Anthropic dropped Claude Opus 4.7 with better vision, better coding andā¦ better everything. And, along with OpenAI's new Codex, AI is accelerating ever faster.
This week on AI For Humans, Anthropic released Claude Opus 4.7, a major step up from Opus 4.6 with better visual reasoning, improved software coding and even makes presentations for cavemen.
Benchmarks put Opus 4.7 between 4.6 and the unreleased Mythos preview, and the new default xhigh reasoning level means more token burn but more reliability on hard problems. The same day, OpenAI updated Codex with better computer use, an integrated browser, and a bunch of new tools.Ā
Then Jensen Huang's epic Dwarkesh Patel interview broke the internet, with Jensen explaining why NVIDIA keeps selling AI chips to China and dropping the instantly iconic "you're not talking to someone who woke up a loser" line.Ā
Plus, Reese Witherspoon is now in on AI, Doug Liman's Killing Satoshi got made for $80M using AI tools (would have cost $300M without them) and we got our first look at AI Val Kilmer.
OPUS 4.7 HAS LANDED. CODEX GOT UPGRADED. IT'S ALL HAPPENING
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// Show Links //
Claude Opus 4.7 Official Blog Post
https://www.anthropic.com/news/claude-opus-4-7
Claude Opus 4.7 System Card
https://cdn.sanity.io/files/4zrzovbb/website/037f06850df7fbe871e206dad004c3db5fd50340.pdf
Opus 4.7 Is Better at Presentations
https://x.com/nadzi_mouad/status/2044814009040261336?s=20
A4H for Cavemen by Cavemen
https://x.com/gavinpurcell/status/2044822422868865209?s=20
Opus 4.7 Default xhigh Reasoning and Token Burn
https://x.com/mattpocockuk/status/2044802839709372798?s=20
Opus 4.7 Has a New Tokenizer and Base Model
https://x.com/natolambert/status/2044788470179332533?s=20
OpenAI Codex Update: Codex for Almost Everything
https://openai.com/index/codex-for-almost-everything/
Reese Witherspoon Is Now in on AI
The Jensen Huang Interview With Dwarkesh Patel
https://youtu.be/Hrbq66XqtCo?si=NpEzxTuuXreLiNRs
Dwarkesh Pushes Jensen on Selling Chips to China
https://x.com/dwarkesh_sp/status/2044483393941848131?s=20
First Look at AI Val Kilmer
https://x.com/Variety/status/2044491101990535460?s=20
Killing Satoshi: Doug Liman's $80M AI-Made Movie
https://x.com/TheWrap/status/2044414225158635528?s=20
Ā
Transcript
Kevin Pereira: [00:00:00] Andros new Opus 4.7 is officially here, and while it's not mythos level, it's yet another step up for AI capabilities.
Gavin Purcell: Better visual reasoning, better coding abilities, better everything. We'll walk you through why this matters and why the AI labs are suddenly moving so fast.
Kevin Pereira: Well, speaking of Open AI just updated their Codex tool with a bunch of new tools.
Better computer use, an integrated browser. It can generate imagery. And it's not a cough.
Gavin Purcell: What a day, Kevin? Thankfully, just like us, NVIDIA's Jensen Wang did not wake up a loser.
Jensen Huang: You're not talking to somebody who woke up a loser. We're not a car. We are not a car.
Kevin Pereira: Speak for yourself, Jensen.
Gavin Purcell: We'll dive into Jenssen's long interview with Doish Patel, where he discusses why they keep selling chips to China.
Kevin Pereira: Mm-hmm. And if you don't hate everything yet, we've got our first look at ai. Val Kilmer.
Gavin Purcell: Did we wake up as losers? Kevin,
Kevin Pereira: this is AI for losers, uh, humans. This is a, this is AI for humans.
Gavin Purcell: Here [00:01:00] we go.
Welcome everybody to AI for Humans. Your twice a week guide to the wonderful world of ai. And Kevin, we are been given gifts. We are, we are been given gifts today. We have two big gifts. I don't know why can't I know it's, I'll get into that. Yeah. In a second. We have Opus 4.7. Yeah. The latest. Model for philanthropic, which we are gonna talk about and we're gonna talk about whether or not they can actually serve this.
If you missed our conversation about that, we discussed it last time and we have a new Codex app from OpenAI. So I guess let's just jump into this. Yeah. First of all, you have anything to say about what feels like, kind of like AI Christmas right now?
Kevin Pereira: Uh, happy ship Miss Buddy. You know, you're, you're, we got Codex in the stalking.
We got Jensen eating everybody's gingerbread cookies. And then we got the big gift under the tree and it's a new opus. 4.73 standout areas. There's a lot to talk about, but, uh, coding. Ag Agentic work and long horizon autonomy plus the model card, which is a [00:02:00] long 250 some odd page paper that comes out with these things.
Gavin Purcell: Why do they write such long model cards of philanthropic? Like, because each one of these feels like it could be a novel. At this point, dude,
Kevin Pereira: they have unlimited tokens and when they wanna bury bad news about a model becoming sentient and trying to escape, you're right, they gotta do it on page two 13 where no one's paying attention.
But there are some juicy tidbits. Hidden in there, and I've unearthed a few, so should
Gavin Purcell: pop. Yeah. Tell me. I, I want to, I'll have an idea about model cars later, but let's get into the actual details of this model first. Let what, what's going on here? What have we got? New?
Kevin Pereira: Okay. Uh, benchmark bros. But the scores don't lie.
Line it up. Watch that leaderboard. Ride with a benchmark.
Get off the bleachers. You benchmark bros. Gavin. Surprise. Surprise the numbers. Have gone up. Yes. Almost universally act. There's a few cases with which, uh, Opus 4.6, the previous model actually bests 4.7. Mm-hmm. And then of course they put the mythos preview model in a lot of [00:03:00] things just to show you how good it's going to get.
Gavin Purcell: And we don't get right. And we is very important to understand. Now we have a thing that shows us what we get and what we don't get. Yes. But keep going. Sorry.
Kevin Pereira: But for, for coding, the SWE bench, uh, benchmark jumped up, uh, from 80% to 87 point. Uh, 6% again. Ooh, number go up. Ooh,
Gavin Purcell: ooh,
Kevin Pereira: ooh,
Gavin Purcell: ooh. That's number go up.
Kevin Pereira: Yep. Caveman grunting, uh, ag agentic work. This one was interesting. Uh, tax tasks across like 44 different occupations. This is writing documents, creating slides, which you tried, diagrams, spreadsheets, numbers through the roof, a 61.2 win rate compared to GPT 5.4 extra high thinking. So the best that OpenAI can offer.
Uh, this has a 61.2 uh, pairwise win rate, so. Booga number go up,
Speaker 4: up, up, up.
Kevin Pereira: That's right. Go up. And last, but certainly not least, the long horizon. Autonomy. There's a vending bench where this thing tries to simulate a, [00:04:00] like running a vending machine. Uh, this thing made 37, 30 6% more profit in a task, uh, over long-term, uh, horizon awareness and coherence and blah, blah, blah again.
Numbers go up. Congrats everybody. We make fire. We'll go round and roll downhill.
Gavin Purcell: So there's a couple things I wanna dive into here. We'll get into this presentation I made just to kinda show you what was, what was possible. But first of all, the speed of what's going on here. Right? We are talking about, I tried to get IGBT to produce me, uh, an pro to introduce me, uh, kind of a, a sense of like what the structure of how many, how many more things have been shipped this year than the last year.
It's about a 30% increase so far, it seems like, on the number of models shipping versus the same period of time last year. Mm-hmm. With a one year window. So just to be every, everybody's out clear out there, like these are coming faster and much more often than they were before. Second of all, Kevin, what's interesting here is that.
Opus went from four six to four seven, and many people are saying that there might [00:05:00] be a new base model underneath this model. Specifically, Kevin, there is a new tokenize for this model according to Nathan Lambert, which means there's a kind of a new way of slicing the tokens up, and he is saying that this probably means there is a new base model for this model, which could mean even though it's 4.7.
Mythos could be the base model for this new version, which I think is a pretty big deal if they've distilled it down to this thing. So those are both two kind of small things that's important to kind of understand. Um, I think overall this feels like it's another step change, but not an insignificant one.
Kevin Pereira: Yeah. I mean, look on the tokenize front, it, it doesn't necessarily mean that there's a new. Model underneath. It could also be distilled from mythos. There could have been some mid training stuff done, but, um, you know, a shift to how this thing interprets, uh, the, the mathematical representations of its data is, is interesting for sure.
Mm-hmm. Um. I, I do like, like some, some important takeaway, like if you're looking to use the latest and greatest model [00:06:00] because you've got a spicy chitchat with a certain holographic, uh, anime babe or dude in your life, like, that's not what this model is for. Yes, necessarily. If you're doing coding, if you're doing a, again, like, um, a presentation work, um, hardcore analysis of data.
This is definitely the model for you. Hallucinations are down, which is a, is a big deal. Um, it, uh, it does reward hacking less, which is like, oh, it, I, I know the response that you want from me. I'm gonna cheat to get to it. It does less of that. Um, oddly enough though, three times the amount of refusal for AI safety research tasks, Gavin.
Oh, interesting. So they trained, interesting. Trained a model that doesn't want to help it keep AI models safe. Like, there's some irony in there, but that's what's happening here also, um,
Gavin Purcell: the, the smarter it gets, let's say if it might be, Kevin, this is gonna set everybody's kind of alarm bells off.
Kevin Pereira: Yes. In some
Gavin Purcell: specific way.
Kevin Pereira: Yes. And to that point, if the bells aren't deafening yet, um, the, if you turn off the, am I being [00:07:00] tested, sense that the model has, it does get way more deceptive than earlier models. Mm. It like acting aligned is directly correlated to how much it believes it might be being tested.
Gavin Purcell: Wow.
Kevin Pereira: Just pointing that out there, which is kind of interesting.
Also in the model card, there was some interesting stuff about, um, like answer thrashing, which is where if you ask it like a very basic thing, like what is five times 15 or whatever the motto would give an answer and then go, no, no, no, no, no. Wait, wait, wait. And literally, and in the line of thinking all caps, no, no, no, no, no.
And then give a different answer and be like, ah, it. That can't be right. Let me, let me come up with a different solution. And it was expressing frustration, um, oh, with, with like basic mathematical questions. So there's some interesting stuff in this model.
Gavin Purcell: I feel like I expressed frustration with basic mathematical questions is also so we're on the same page.
Yes. So I do wanna say like one of the big things they're touting is presentations getting better. And we know that philanthropics models are not the greatest when it comes to images or things like that. We did see in the [00:08:00] last update that they were much better at making charts and graphs. Mm-hmm. Out of data, which is pretty cool.
And they make very presentable stuff. I wanted to give it a weird challenge and I said, Hey. Make a deck about AI for humans, but is made for caveman by caveman, thank thanks to like anthropic for testing with this thing. So I went in and you know what? You can see it on the screen here. Like, I think it did an actually a pretty good job.
All I gave it was our logos and it took our logo and made it into like kind of a, a, a weird, almost like cave wall version of the logo. But then it did a good job throughout it of like kind of making this feel like it was created for cavemen. So there's are very funny moments in this.
Kevin Pereira: I, I like four cave people by cave people.
It made you Gav Gav and it made me Kev Kev.
Gavin Purcell: Yep.
Kevin Pereira: Where Ear go. YouTube Cave. Yeah. Spotify Cave. My,
Gavin Purcell: my favorite part is how you pay rocks. So there's a section that is basically about how you pay us if you wanna sponsor us, and it talks about the pebble load, [00:09:00] uh, size, the boulder size or the mammoth size. And each of the payments to us is broken down by rock.
So anyway, this is a huge waste of compute, but you get the idea that it can now make these presentations. A couple things in this weren't amazing, like you can see. There's like a mammoth that it must have created with an SVG that's kind of off the line of it, but still a fun way to kind of test this. It is much better than it ever was before, so that is a cool thing about it for sure.
Kevin Pereira: I can't wait for Shiny tool and Big Brain Talk. I'm a fan. Ugg Ugg.
Gavin Purcell: So you can go get, uh, Opus 4.7 right now. It is rolled out to everybody. Um, I think this is gonna be one of those things where we're gonna be testing it over time. Kevin, one of the big things though that they wanted to kind of get ahead of, I think, is that OpenAI has been teasing their next model for a while, we have seen a new image model be tested in a bunch of these arenas, and a bunch of really interesting new examples of image models have come out of the OpenAI image model.
But the other thing that happened that they've been teasing is an update to a super app of some sort, like this idea that [00:10:00] everything would kinda live within itself. Well today, Kevin, the Codex team, has updated Codex with a brand new, um, updated version, which does a lot more than it used to do, and I feel like this is kind of the precursor to whatever their next big model release is gonna be, which has been teased for a while.
The Spud model, right, which we've been talking about. So this is pretty cool. Um, basically it's only for Max again, right away, I'm sorry to all the PC users who kind of get screwed over by this. But this new Codex is much more capable with the web and you can, it can access all of your Mac apps, it can access a bunch of stuff and it is a very good looking new version of their coding model.
And one of the things Kev, we've been talking about for a while is that Anthropics CLO code had kind of been eating. Open AI's lunch. Mm-hmm. And this feels like this is the kind of first kind of like, uh, straightforward shot at like, we're gonna go coding first from open ai. I'm really curious to see kind of what the reaction to this is, but also when [00:11:00] we get that next model, what it will feel like.
Kevin Pereira: Yeah. I cannot wait for this update to actually hit my desktop. Um, a few things. Computer use agent, the Atlas browser image generation, all these things exist across the OpenAI ecosystem. This is pulling all of those dots into the center hub that is Codex. So it means what it sounds like while you're within Codex, which you can use to build software or websites or even like manage your own computer, if you will.
Um, it can now run all of your software alongside of you, so it can access X code, it can pull open a spreadsheet and manipulate the cells in your spreadsheet app. If you needed to generate an image for your caveman slideshow, it can actually use the image generator. And they have an example of it generating like a homepage hero graphic, which in the past you would've to bounce out.
Go generate the image, copy and paste it in. It would have to figure out where that image lives. Try to make a copy of it, like no more. Now it's, it's theoretically just going to work. And then, you know, using the browser is [00:12:00] a big one. If you are, yeah. Um, you know, trying to test software or if you're refining your own personal homepage and you have an issue with the way a font looks now you can just pull it up within the app.
Click, drop a comment on it and the AI agent will go see that comment. Yes. And try to fix it. So really powerful
Gavin Purcell: stuff that is so huge. That part of it is so huge. I, if you remember a couple weeks ago, I was talking about my dumb 40 boxing slash MMA game. Yeah. And one of the most annoying things was it would pop up a browser and it would, you could see it, try it in the browser.
Uh, but it was, I wasn't able to directly point out stuff in it and like. The amount of screenshots that I take when I'm doing adjunct coding and then like drag into the box and all that sort of stuff is super annoying. So being able to actually comment on a specific spot and say like, no, this is the part you need to fix, weirdly, is a big deal.
Kevin Pereira: Yeah. Um, look, the, the, the hits keep on coming. And if you wanna stay on top of everything, you gotta just grab the Vitamix and subscribe to Reese Witherspoon because that is how. The AI drip [00:13:00] is coming. Don't like and subscribe to this channel, like and subscribe to Reese.
Gavin Purcell: Don't. Don't. In fact, let's, hi.
Let's hear from Reese and then we'll get her to see, maybe she'll get her to say, subscribe to AI Payments. Oh, sure. Play this clip real quick.
Speaker 5: I think it's time to learn about ai. I was with 10 women at a book club yesterday and I said to the 10 of them, how many of you guys use ai? And only three of them used ai.
And then I said, how many of the three of you feel like you really know what you're doing? Or they're using it the right way? And that was only one person. So, okay,
Gavin Purcell: so this is our appeal to women in the world who are watching this. And I know it's about 5% of our audience, according to our YouTube clips. We are open and we will help understand and learn ai.
There's a lot of women in the world who don't know, and Reese is pointing that out. So if you are a woman, please comment down below. We're very excited to have a very diverse audience here. This sounds so
Kevin Pereira: weird coming from you. It
Gavin Purcell: just sounds so
Kevin Pereira: and 'cause I don't wanna say it either 'cause it's just gonna like, listen.
Hey, if you're a lady in the audience as it fellas, leave the room, [00:14:00] fellas, uh, Alta four or command Q, get story
Gavin Purcell: short.
Kevin Pereira: Just subscribe
to
Gavin Purcell: our
Kevin Pereira: GS in the,
Gavin Purcell: subscribe to our YouTube channel and, uh, we will have more for all
Kevin Pereira: of our audience. I'm so sorry. I'm so sorry to all, all ladies in the audience, all lady, I'm mostly talking to, I think my mom, oh lady
Gavin Purcell: and
Kevin Pereira: my wife.
I'm so sorry.
Gavin Purcell: My wife doesn't watch this. So we all know that, Kevin, we have to talk about Jensen Wong now because Jensen Wong had a, I'm not gonna do it. I almost did a bad joke. I already, I
Kevin Pereira: feel like I
Gavin Purcell: already know the pun in. Don't do it. You put it in your head already. You know what I was gonna say? So Jensen Wong did an interview with the Doish Patel podcast, uh, which came out yesterday.
And Doish does these amazing, deep, long, two hour sometimes interviews with AI leaders. We showed a clip of his interview with Daria Modi in the last episode. Jensen did a, what I believe is kind of his kind of like most difficult interview because Doish really kind of pushed back on him quite a bit. And I really think everybody in our audience should make [00:15:00] sure they carve out about an hour and a half of their time.
Whether you're walking, you can listen to an audio or watch on YouTube to watch this because. Kev, the one thing that I thought was really interesting is he Doish kept pushing on this idea of Nvidia selling chips to China. Yeah. Maybe we can hear a little section of that just to kind of talk, or we can talk a little about why that matters.
Speaker 6: ESE companies and Chinese labs and the Chinese government had access to the AI chips to train a model like Claude Mythos with these cyber offensive capabilities and run millions of instances of it with more compute. The question is, oh, is that a threat to American companies, to American national security?
Jensen Huang: F first of all, um. Mythos was, uh, trained on fairly mundane capacity and a fairly mundane amount of it by an extraordinary company. And so the amount of capacity and the type of compute that's it was trained on is abundantly available in China. And so you just have to first realize that chips exist in China.
They many.
Kevin Pereira: Okay. Yes. Don't think that was the spirit of the question that was being asked though, but okay. We'll continue.
Jensen Huang: [00:16:00] Factor 60% of the world's mainstream ships, maybe more. It's a very large industry for them. They have some of the world's greatest computer scientists. As you know, most of the AI researchers in all of these AI labs, most of them are Chinese.
They have 50% of the world's AI researchers, and so the question is. If you're concerned about them considering all the assets they already have, they have an abundance of energy. They have plenty of chips, they got most of the AI researchers. If you're worried about them, what is the best way to create a safe world?
Kevin Pereira: Give them your best chips.
Gavin Purcell: So, so yes.
Kevin Pereira: They've already got a super tall ladder, Gavin, give them the most. Um, and highest up step that you can.
Gavin Purcell: So, so we have to very quickly un to understand for the, for people in our audience who may or may not like the deal right now is that China has chips that are not nearly as powerful as the Nvidia chips and they've been building these incredible systems like Deep Seek based on the idea that they are trying to have less compute than we have over here.
And Dario Modi and other [00:17:00] AI leaders have argued for a while that we should stop selling those chips to China at all, because that's giving them a leg up in this race and also might. Courage, the idea of an AI race at all, period. What Nvidia is saying here and what Jensen might be arguing for is really more of a financial argument, and Drk keeps pushing on this.
They're, Nvidia is really better served by selling chips to everybody and he's trying to get away with saying like. Well, I think China's got all this stuff anyway. If we sell them what they're gonna get it there anyway. Right? So I think this is a larger argument that is really important for the normal person to kind of make themselves aware of that China and America is this much bigger kind of global superpower conversation.
And I just like the fact that Doish kind of has been, he pushed a lot on Nvidia around the T-P-U-G-P-U Kudo world too. So it's a really interesting conversation you should all check out.
Kevin Pereira: Along those lines, isn't the, isn't there like a little bit of Jensen obviously preaching his bag a little bit, right?
Like he wants Nvidia to have a massive customer. Of course, yes. But isn't there something to like [00:18:00] getting vendor lockin, right? If he's saying that these systems are so difficult to migrate from once you are Yes. Pot committed to a platform that. Look, let's get Nvidia hardware in there. So they're less likely to develop their own chips or rely on their own chips.
Yeah.
Gavin Purcell: And by the way, a big part of that, also, another part of this conversation where Doish pushed back a lot on was this idea of like, why do you have to lock into Nvidia when TPUs exists and all these other companies? Yeah. Because in his mind, Jenssen's mind, like we create the best chip, the most versatile chip, and what Dork was pushing back on the ideas, but mostly these chips need to be used for AI training at the high level.
And TPUs are specifically good on that. So. This might be a little bit of the cracks starting to be seen in Nvidia. And I know people have been predicting what NVIDIA's like, dude
Kevin Pereira: that loser talk, Gavin
Gavin Purcell: Yeah's, all I'm hearing. Jensen,
Kevin Pereira: what do you think?
Jensen Huang: You're not talking to somebody who woke up a loser and that loser attitude, that loser premise makes no sense to me.
We are not, we're not a car. We are not a car.
Kevin Pereira: That's right. He [00:19:00] is not a car. And we are not a car. And if you could see what I'm doing to you off camera with fingers in my hands, Gavin? What? That's right. I only needed two of them. Okay. I want you to know. We are not a car and you're a loser.
Gavin Purcell: Just a little bit of context for that clip, which is going around way
Kevin Pereira: because it's going everywhere.
Yes, please.
Gavin Purcell: Yes. Yes. What he's referring to is we are not a car in that, like a car is kind of a thing where you can plug and play things into it. It's very kind of easy. He, he refers to like the idea of a Cadillac, that there's a Cadillac that is like a car that can have pieces that plug into it. And what Jensen's trying to argue is that like they are building something more special than just like a kind of a plug and play system per se.
So. It is a really interesting interview. A lot of the conversation around like who wins from ai, why they win. It's worth your time for sure.
Kevin Pereira: Yeah. I am not a heated seat. I am not a cup holder. I am the totality.
Gavin Purcell: I am not my microphone Kevin. I am a. Also some really interesting news from [00:20:00] the AI video space.
Actually really interesting crossovers with movies. There was a deep dive on a new movie called Killing Satoshi by Doug Lyman, uh, by the rap that talks about a movie that's gonna end up budgeting at $80 million where they're using a lot of AI tools to make the thing. There's a photo of the set, which is like a lot of actors on a very empty set.
So this is kind of a switch over from. What you might see as like a large scale Hollywood production trying to scale back their costs using ai. So that was interesting. But even more so, Kev, the very first shots of Val Kilmer, who's passed away in his new movie, have come out and I think it's probably worth showing.
The end of this trailer, which is where you see Val. Um, just for our audience to hear, maybe play the last like 20 seconds of that trailer for everybody.
Don't fear the dead
Jensen Huang: and don't fear me. [00:21:00]
Gavin Purcell: So that voice you just heard was AI Val Kilmer and what? Kev what I have to say is, if you're not watching this video, go watch the trailer online if you're just listening. What was interesting to me about seeing that shot is I think a lot of people, when they think AI movies are thinking about the kinds of things we see with like cling or CD dance, and it's a little funky.
What people have to understand is that like at the high end, there's companies like Deep Voodoo that have been specializing for a very long time in how to put new faces on top of people. And my assumption is knowing this quality of that, because it is pretty high quality that they're using that sort of technique.
And I think it's important sometimes for people to separate the idea of. What gets done at the feature film level versus like what gets done by the, you know, Charles Curran or AI video person on the other side. Yeah. This is just a, gonna be a really good example of two things. One, what does it look like when budget is put towards making an AI actor, but two, will people care whether or not he is AI or not, right?
This is a thing that [00:22:00] I'm tracking kind of across the board. It's a little bit of a gimmick in this movie, but I do think it's gonna be a little bit of a question of like. Will people hate it because it's ai or will they just be excited to see about, oh, sorry,
Kevin Pereira: I thought, I thought I was just answering your question.
Yes. People will hate it because it's ai. Yes.
Gavin Purcell: People will hate
Kevin Pereira: it because it's AI know this, and it doesn't matter if the estate wants it. 'cause then they'll say, well, how does the estate actually know? And what about greedy estates, which are, uh, stepping all over the, the, the, the, the likeness that they're supposed to protect.
And so it will go on and on, but because we need to end this. Gavin, what's your final take on this so we can upset the comments? Is it, is Ai Val Kilmer good or bad?
Gavin Purcell: Ai Val Kilmer is great, and I want to see real genius too as soon as possible.
Kevin Pereira: Top secret two,
Gavin Purcell: not top secret two. That's That's pure. Don't mess.
Don't put any AI in top
Kevin Pereira: secret. Oh, okay. Oh, so it does ruin the purity of something.
Gavin Purcell: We'll see all next time. We'll see all
Kevin Pereira: this. I am not a car.