← All Episodes
AI for Humans
Claude Fable 5 Is Incredible. And A Little Scary.
Anthropic just released Claude Fable 5, the first public Mythos-class model and the start of the Claude 5 family. It is their most capable model ever but… kinda scary. This week on AI For Humans, the Mythos era goes public. Anthropic released Claude Fable 5, the first commercially available Mythos-c
Show Notes
Anthropic just released Claude Fable 5, the first public Mythos-class model and the start of the Claude 5 family. It is their most capable model ever but… kinda scary.
This week on AI For Humans, the Mythos era goes public. Anthropic released Claude Fable 5, the first commercially available Mythos-class model and the first in the new Claude 5 line. It is the same underlying model as Mythos but shipped with conservative safeguards, questions about cybersecurity and biology get routed to Claude Opus 4.8 instead. We dig into what it can do, why Anthropic held it back, and what our future looks like as we get closer to AGI.
Then Apple goes AI again at WWDC: a profoundly revamped Siri AI, a dedicated Siri app, on-screen awareness, much better photo tools, and a foundation model setup that is local, multimodal, and partly powered by Google. Gavin is thrilled that the future has finally arrived, just not on the phone he bought last year. It is AI For Humans!
THE MOST POWERFUL AI EVER RELEASED. WHAT COULD GO WRONG.
SHOW LINKS
Anthropic announces Claude Fable 5:
https://www.anthropic.com/news/claude-fable-5-mythos-5
Dan Shipper's review of Fable 5:
https://x.com/danshipper/status/2064393970856124501
Usable Fable 5 demo (Library of Babel):
https://library-of-babel-iota.vercel.app/
Rumored Fable 5 preview: Minecraft build (XIVIX):
https://x.com/XIVIX_134/status/2062972363084341341
Rumored Fable 5 preview (chetaslua):
https://x.com/chetaslua/status/2063328265708896621
Rumored Fable 5 preview (testingcatalog):
https://x.com/testingcatalog/status/2062915688134574173
Fable 5 voxel Power Rangers comparison:
https://x.com/Lentils80/status/2064379168272642315
Noam Brown on the implications of scaling test-time compute:
https://x.com/polynoamial/status/2064210146558136827
WWDC full presentation:
https://www.youtube.com/live/hF8swzNR1-o
Apple introduces Siri AI, a profoundly more capable and personal assistant:
Apple says its new Google-infused AI is all about privacy:
https://gizmodo.com/apple-says-its-new-google-infused-ai-is-all-about-privacy-2000768997
An actually useful Apple Intelligence use case:
https://x.com/iupdate/status/2064078761856037112
Put a summary in your summary (notification summaries):
https://x.com/i_zzzzzz/status/2064061955447406722
Gaussian splats coming to Apple Maps:
https://x.com/bilawalsidhu/status/2064057313057439795
Transcript
AIForHumansClaudeFable5Anthropic
===
Gavin Purcell: [00:00:00] Claude Mythos is finally here for us mere mortals, sort of, mostly, kind... Well, you'll- you tell them, Gavin
Kevin Periera: Claude Fable is Anthropic's newest AI. That is right, it is one of the Mythos family, but it is not the full Mythos model. It is going to be very good. It is also going to be very expensive, and maybe kind of guardrailed for right now.
Gavin Purcell: You never go full Mythos. That is a hard and fast rule. We will tell you everything we know about this just-released model as of this recording, and try to figure out what our future looks like when we do finally hit AGI, even though I think we did actually hit it just now.
Kevin Periera: Plus, Apple Intelligence is finally getting intelligent with a brand-new Siri that's re- remarkably called Siri AI, and it might actually work this time.
Craig Apple: We believe that truly helpful AI must be centered around you and your needs.
Kevin Periera: Hey, Craig, my needs were last year. I own an iPhone 16 Pro, and it's not happening for me. What's up with that?
Gavin Purcell: Oh, don't worry, Gavin, that phone was built from the ground up for Apple [00:01:00] Intelligence. It just doesn't support Apple Intelligence.
Kevin Periera: Fair enough. We will dive into that and so much more on this week's episode of AI
Gavin Purcell: for Humans. AI. For, for humans.
Kevin Periera: Welcome everybody to the wonderful world of AI. This is AI For Humans, your twice a week guide to AI. And Kevin, today we have big, big, big news. On top of the Apple intelligence stuff, which we will get back to, literally, uh, about 30 minutes ago, Mythos dropped. It is not called Mythos, or this version of it is not called Mythos.
This is Anthropic's new, uh, LLM model. They're calling it Fable 5. So not only do we have a five- This model- ... in the number ...
Gavin Purcell: remembers the choices that you make as you navigate from village to village. Are you a chicken kicker? Yes. It knows.
Kevin Periera: By the way, I will say the original Fable video game is a classic. I am very excited- Classic
for the new Fable. Classic. Yes. Um, this is a, a new, uh, uh, top of the line [00:02:00] model from Anthropic. This is based on their Mythos models, which we have talked about here before, that have not been out yet. This is the first version available. Both Kevin and I have access to it. It has just appeared in my Claude.
It should be appeared in your Claude. But Kevin, there are a few things we have to talk about before we even ask it to do anything. First and foremost, we should talk to- very quickly about there is benchmarks, and we'll bring in the benchmarks boys for the very fast intro here. Will? With the benchmark boys doing the tests out
Gavin Purcell: loud.
Check the charts, make the- My boys are clear in the bleachers for this one. This isn't even in the same stadium as other models- Yeah ... if we're just talking about the numbers, Gavin.
Kevin Periera: So numbers-wise, Kevin, I think we are seeing a pretty large jump here. I wanna be clear, not on everything from Opus 4.8. So if you remember, whatever it was, three weeks ago, Opus 4.8 launched.
This was their previous, Anthropic's previous state of the art. But the big number that I think is really important to pay attention to is the an- the, the agentic coding numbers and all of [00:03:00] the numbers around coding, 'cause we know Anthropic has focused on coding for a bit. And Kevin, the Fable 5 number on agentic coding is an 80.3%.
So these are all numbers, I understand they don't mean anything till they get practical, but Opus 4.8 was at 69.2%. So that is a pretty large jump within a, what is it, like a three-week span to this set of models. So when you see these numbers- Well- ... without playing with them, what is your first kind of i- immediate feeling?
Gavin Purcell: Yeah, I, I, sorry to everybody that bet on a slowdown on Poly market.
Kevin Periera: Yes.
Gavin Purcell: Like, we're not- Yes ... it's not, it's still not slowing down. There's still clearly, uh, plenty of runway left for this takeoff . Um, and the wheels might not even be on the tarmac. If you look at the other agentic coding benchmark, Gavin, which is, um, Frontier Code, otherwise known as the Diamond Benchmark- Yes
GPT 5.5, which by the way is still my daily driver within their- Yeah ... Codex app, it, it scores 5.7% on extremely high thinking mode. [00:04:00] Claude's Mythos 5 or Fable 5 scores 29.3%. Oh, wow. Like, this is a significant jump.
Kevin Periera: That, that is pretty shocking . Yeah, that's
Gavin Purcell: a big jump. Yeah, I mean, it, significant jump, and, and look, it, it, it's incredibly early, and I, like, I love slash-
Kevin Periera: I'm just, I'm just standing up, Kevin, so if, if you, if the view- if the listeners can't see, I'm standing up and applauding.
Oh. We've, we've... That's a pretty big jump. I, I feel like that's an applause jump. Yeah. That's an applause jump.
Gavin Purcell: That's fair. Okay. I'll be honest, though, your video was frozen, and it literally startled me. I didn't know what that was. It was a bit of a jump scare. But l- a- again, we will see how the vibes pan out.
A lot of times- Yes ... you and I record these things right on the heels of a release. Yes. And then over time things, you know, uh, pan out, that they're maybe not as incredible, but it's hard to ignore these, just the raw numbers. It's really hard to ignore it, especially, uh, against the, the, the hype, which is mostly proven real, at least in the security community- Yes
over the capabilities of, of Mythos, the parent [00:05:00] model. On that front, Gavin, I wanted to play a quick, uh, clip from, um, uh, one of the release videos from Anthropic regarding security.
Siri AI: Our safety systems for Fable 5 automatically review requests that touch on high-risk areas like cybersecurity or biology.
Those requests are then redirected to Opus 4.8. We do that intentionally so people can continue to benefit from the capabilities of a powerful model like Fable without the cyber and biology risks that come with it.
Gavin Purcell: So that's an interesting
Kevin Periera: approach. So they're dumbing it... So it's interesting. So they're dumbing it down for specific prompts.
Now, the question I will have- That's right ... is how good is it determining what is a cybersecurity risk? Right. What isn't a cybersecurity risk?
Gavin Purcell: Turns
Kevin Periera: out- Because if I...
Gavin Purcell: Yeah ... it's a phenomenal foundational model at everything but classifying what's a biological weapon prompt and what's a
Kevin Periera: security risk.
Exactly. Like, if I'm asking it to figure out how to fight 64, uh, animals against each other- ... is there something in that prompt that is gonna say, "No, you cannot do that. That is not allowed"? Right.
Gavin Purcell: Well, heck, I mean, it's [00:06:00] super anecdotal, and we won't get too in the weeds. We will get right back to this stuff.
Yes. But even last week, uh, Claude was refusing to take action for you based off the notes- Yes ... of our show, and this was the old model.
Kevin Periera: Oh my gosh. I forgot about that, Kevin, but you're right. One of the things that was so frustrating about last week, I use Claude to help me write the show notes every week.
I, I, I still go over them with my own human brain, but it's a way to kind of speed up the process of being a YouTuber. It's a very difficult thing sometimes, all the extra stuff you have to do, and Claude didn't wanna write the show notes for the story about the Chipotle AI thing from last week. If you remember, there was kind of a hack around where people were using Chipotle AI to kind of do their coding stuff because there was a back-end hack they found.
The thing had already been plugged, but Claude was like, "I don't think you should include this story, and I am not gonna write the notes for it." And I was like God Claude, just give me this thing. It's 10:38. It's 10:30 PM. I just need this thing done. So I ended up writing it for him. But that is a big- Yeah
thing to be aware of, right? Because now if intelligence is this important and this big, [00:07:00] it does have that, like, Big Brother starting to feel where, where you're like, "Well, is Claude gonna let me do this? Am I gonna be able to get this thing through? Like, will it allow this thing?" And then, you know, I think we are gonna get past this point.
Like, Anthropic is famously the most safety-oriented company. They're being very careful about this. It does feel like right now, I mean, Mythos, the leak of Mythos came out, whatever it was, three months ago now, uh, for the private world, and Glasswing, they've had a- peop- Project Glasswing, people have had access to it for a while.
I am really curious if Anthropic is a step ahead of OpenAI, or we'll see, I guess, what OpenAI's response to this is. But Kevin, the other big thing we have to talk about here, and it's a big warning that comes up when you select the Fable 5 model, this is gonna cost two times as much in tokens as Opus 4.8.
So if you remember, Opus 4.8 was the most expensive tool to use at this point. And when you think about tasks, things you wanna do with AI, in fact, a good example of this is just this week I got my wife onto her own Claude [00:08:00] account so she could use it to do a bunch of work stuff she's doing. One of the things she wanted to do was go through her Gmail and get every email she had so that she could make a list for her book.
They used a lot of tokens to do that, right? Because it has to kinda understand how to go through this stuff, and also, uh, you know, Cl- Google's MCP has a limit of 50 messages per thing, so blah, blah, blah. She used up all of her tokens within, like, a very quick window on the pro account. I am worried that this is just gonna be mostly unu- uh, not very useful for me in this way.
I don't know. What do you think about the cost side of this?
Gavin Purcell: Uh, it is clearly expensive. It shouldn't be... I don't expect it will be the daily driver for a majority of the people that are- Yes ... in our audience. I don't expect- Yeah ... they're gonna route, uh, u- use it to power an OpenClaw or a Hermes agent. Um, this is the model that you will go to for massive code base refactoring, or for super- Yes
high-level thinking, or if you need a, a super long horizon task, or to orchestrate your 15 other agents that are running with little check-ins, but they're much cheaper sub-agents [00:09:00] that are going off. Yes. Like, this is not... Like, this is, uh, appears to be, full stop, the most powerful, uh, general or wide release model in the history of AI.
Like, that- Yes ... I mean, that, but that doesn't mean it's for everyone, right? Yes. If you're using it to, to, to email inbox triage- Yeah ... you know, which w- w- you know, I, I don't think anybody should, but that is like summoning an asteroid because there's an ant on the sidewalk and you wanna make sure that it's gone.
Kevin Periera: Sometimes that can be fun, Kevin. Sometimes you just want that ant to get-
Gavin Purcell: Look ...
Kevin Periera: just demolished, right? That's part of the game. I'm okay with you,
Gavin Purcell: I am more than okay with you taking those little fingers of yours and dipping into the Patreon jar to rip a, a Fable 5, a one-shotter- Ooh ... of your animal battle tournament site.
Yeah. Like, or whatever. Let's see what
Kevin Periera: happens. Yeah.
Gavin Purcell: Yeah, let's do it. But again, I don't think it's for everybody. For, for, but for the people that it is for-
Kevin Periera: Yes ...
Gavin Purcell: again, the early demos that are already coming out are insane, and so we have to, as we typically do, shout out Every and Dan Shipper, who- Yeah ... his whole team [00:10:00] got early access to this.
Did you see the, the, the Library of Babel, uh, release? Yeah,
Kevin Periera: it's very cool. I, I, so this follows up on a bunch of other leaks that we had seen earlier. But like, basically, Dan and his team at Every built like a- it, like a, a 3D environment of the Library of Babylon that you can walk through, and this is again the idea of it one-shot this thing, right?
And I think the important thing to understand is, has anybody out there who's listening has tried agentic coding or has tried kind of back and forth working with AIs to do stuff, it's a lot of work, right? It does not automatically do stuff. So this is actually, we- hopefully you'll be seeing this if you're watching the YouTube video right now, pretty impressive to one-shot a, a, as an experience.
And it does make me think, Kevin, not only for the video game world, but just at large, like how much the world of like our interactions with computers are going to change if something like this is doable in a single, uh, attempt in some form.
Gavin Purcell: Yeah. Uh, I, I mean, wild the amount of research that it went off and did, and the amount of taste that it injected- Yes
into the project as well. Like, it made... It went out of its way [00:11:00] to not be lazy and to make some creative decisions that, you know, improve the quality of the product, and we're seeing that, uh, with all of the early leaks. I don't know if you've seen some of the voxel stuff that is coming out. Oh,
Kevin Periera: there's crazy, yeah.
Um, yeah. Or the Minecraft stuff. There's a lot of really great Minecraft leaks- Yes ... that have come out from people. You know, I do wanna point out a couple things that the, the d- that Dan's team at Every said, and I think is really important to understand, and you just kind of echoed one of these too. It is really important to use this, if you're going to use it, as a kind of a planner and an orchestrator, not as the thing that's gonna do the grunt work of this thing, 'cause you will eat up your tokens crazy fast.
If you wanna- Yeah ... use this, it's actually great probably, uh, again, we are gonna dive into it this week, we'll have more on it on Friday, to plan out bigger systems and to kind of like help orchestrate smaller, uh, coding agents amongst itself. I think the other thing is, like, that's really important, I've heard this now from multiple people who have tested it, it is very slow.
So you also have to plan on these things taking a while. So if it's something you wanna kind of walk away from, let it go work for a bit. Um, I mentioned this on my, uh, my bear project that, my Bear Drum [00:12:00] project that I've talked about before. I had put in about 80 hours of work into it. I might spend some t- mi- uh, Fable tokens to see what it can go on this- Oh, yeah
just to see what happens. I did end up blowing through my whole like, uh, you know, uh, weekly Codex use case for- Of course you did ... for letting it work. Of course you did. But I think this will be interesting to see as we go forward, because this does feel like But, you know, I also think it's really important, there was a really, really good post from Noam Brown, and probably was posted on today specifically, about, uh, Noam Brown, if you remember, he goes by @polynomial on X, and is an OpenAI researcher, very famously, uh, part of the agentic coding team, very smart guy.
He wrote a long post about how we have to start judging AIs based not only on their capabilities, but because they will be able to work for so long and churn through so many tokens, that we also have to judge them based on cost and how many tokens- Yes ... they use. So I think this may be a slight change, and obviously this is a nice OpenAI talking point, right?
Mythos is very expensive. It is m- many, many [00:13:00] tokens, and OpenAI says 5.5 is very good, and I assume 5.6 will have some version of that as well too. But it does feel like... Oh, oh, what do you got there? You got some, some triangles?
Gavin Purcell: The, the tr- the tried and true pyramid, baby. You got quality- ... speed, cost, right? Yes, you're right.
The old three points. You're right. It- it's, that's exactly what the benchmarks need to be as we now seeing that, okay, quality's gonna go through the roof. All these companies- Yes ... are gonna release amazing foundational models. Speed and cost, they're gonna be there as well. But it did beat Pokemon just using vision, and there's a time lapse video of it on their official blog, so.
Kevin Periera: Oh, damn. Shout out. Now we're talking. See, this is the kind of, this is the kind of benchmark I want. And if that's the kind of benchmark you want, you know what? You gotta hit that subscribe button. You gotta like it. You gotta hype us. This is what we do every week. We talk about the interesting stuff and the dumb stuff in equal, in equal measure, because that's who we are, interesting-
and dumb at the same point.
Gavin Purcell: We tend to focus on- one side of that a bit more. We- But okay, listen. Can we, can we bang through, uh, the WWDC and all these new Siri, uh, artificial [00:14:00] intelligence updates? I think we can knock them out, Gav.
Kevin Periera: I think so, too, so that's the other thing we have to talk about today, Kevin, is the big event that happened on Monday, which is WWDC.
Let's start. You start first. What are we going to the very beginning of this?
Gavin Purcell: Uh, if you're getting the visual version of this old podcast into your eye holes, uh, you'll see the concentric rings that Apple uses to describe their approach. So 10,000 foot view, um, all devices within their ecosystem running Apple foundational models that can, you know, support image, voice, and text that are then enriched by a system orchestrator, on-screen awareness, your personal context, some world knowledge.
This- That means up-to-date info, by the way, Gavin, not provided by Google. Go ahead. What? Go ahead.
Kevin Periera: I was gonna say, this image is so ridiculous to me. It's like I, you look at this and, like, I, I understand what they're trying to do, and I get it if you... And, but I think of it as a 3D cone, essentially.
Gavin Purcell: Yeah.
Kevin Periera: But I don't
Gavin Purcell: know, man.
This is- This is how it was pitched to Tim. You know- Yeah ... that this is exactly the slide that Tim got. Yes, that's exactly right. And he's like, "Okay-" That's exactly right. "... that [00:15:00] looks like a plan. Let's do it." Yeah, that's exactly right. Well, listen. Yes. Okay. H- the, the, the too long; didn't read is that Apple Intelligence or Siri AI is- Yes
finally going to be a thing. They demoed with real, actual running in at least some semblance of real time, uh, uh, demonstrations from their presentation, so there was no more like, "Oh, is this real? Is this actually working?" Yeah. Like, they went out of their way. It actually works. It works. For
Kevin Periera: fricking sake- Yes
it works. A- and they promised- And it- ... stuff that didn't work last year, and now it works. Right. Thanks a lot, Apple.
Gavin Purcell: And does it do anything that you couldn't believe that AI could do? No. Absolutely not. No. It, it, it just- No. I mean, but it works, so that means- Yes ... if you say, "Hey, Siri- Yes ... what was that thing that Gavin was talking about?
Make an appointment, and if I need antibiotics, go ahead and set a reminder," and it will do that.
Kevin Periera: Yeah. I, well, here's the thing I'll say about this, and I don't wanna underestimate what a big deal this is, because AI that works and is cheap and is, uh, local, we can talk briefly about that too- Yeah ... is a lot more valuable to most people than, uh, you know, Fable 5, which is [00:16:00] gonna cost you a fortune to go- Correct
do stuff on the very far edge, right? And I think the important thing, what you just said is there is a demo they showed off of somebody saying like, "Hey, what can I... What was that thing I was talking about for my mom that I was thinking I might get her for a present?" And then you're- It's like that idea of a second brain.
Up until now, this has been a f- major fail of AI, and yet it is also one of the best potential use cases of AI, which is how can it just search everything in my life, right? Like if- Yes ... if Google is good at searching information, what can it do for life search? And I do think Apple is finally onto something, because so much of our lives are on these things, right?
On our phones, between text, email, all the apps we use. So that part I am exceedingly excited about. Um, I feel like it is of unfortunate that they promised all this stuff early, and you know, one of the interesting stories, Kevin, that came out of this was that, like early on, they kind of pooh-poohed AI at large and, and didn't even pursue a chatbot, and are really- Right
trying to catch up here, which is an interesting thing. [00:17:00] Um, I do think the Siri seems good. I'm, I guess I'm waiting till I get it and, and to be able to use it- Mm-hmm ... and see, but it does feel like it might be way more useful than it was before.
Gavin Purcell: It's, you know, it's powered in part by a distillation of Google's, uh, AI models, but it supposedly is 100% Apple in the tooling that allows Siri to run.
Um, they have a version of their secure cloud basically running, um, with Google, NVIDIA, uh, hardware in the cloud, so they're not fully hosting your secured cloud, but they have new technology from NVIDIA that allows them to say with confidence that nobody, not even Apple, not even the host, can see what your requests are.
Yeah. Which is important when you're talking about, like, go search all of my texts or let me- Mm-hmm ... take a personal photo and then shift the perspective of it or erase some things from it. Like, you, you want, you know, your privacy secured. Um, uh, I will say, like, a couple top hits, um, again, because it's on every device, [00:18:00] it's not just the phone.
It is on your, you know, macOS, it is on your Watch. Yes. It's even in Vision Pro for the six people out there that use it. Um, you get things like, uh, like, uh, d- the AI driven shortcuts are interesting, right? Very interesting. Every time I-
Kevin Periera: Very interesting,
Gavin Purcell: yes ... every time I enter this building or load this app, do this action.
Um, you can have AI monitor-
Kevin Periera: Ooh, that makes me think. Could I... Uh, any time I do something, I could have it text you something stupid. That might be a thing I'll try to do as a- Yeah ... as a side. Like, every time I, uh, I don't know, what could it be? Every time I drive by a building in Los Angeles that has, like, memories for us.
Like, every time I drive by old, old G4, uh, it texts me a- Oh, text me three toilet emojis ... a pee pee. Yeah. Yeah. Exactly. Um,
Gavin Purcell: you can do AI, uh, AI organized tabs. Okay, big deal. Yes. Chrome can do that. I like that they had one where it could monitor tabs for you in the background, basically. Yes. So, if you're waiting for, like, tickets to a pre-sale to drop, you can just say- Yeah
"Keep an eye on this tab and alert me when it's ready." Their AI password app had an interesting agentic feature where if it noticed- Yes ... that a password of yours was [00:19:00] compromised, it could go out and automatically change the password for you securely, and then updated it, update it in your password vault.
Like, I do love that. For the, the child of a, of a now, uh, Mac-owning father who has to provide tech support often- Oh, wow ... that is a nice one
Kevin Periera: Yeah, I, my biggest thing about here is what, again, it, it's like kind of like we're seeing the two edges of AI right now, right? The Mythos Fable is like the far edge, w- what people are gonna be doing at the end.
The AI, Apple AI is kind of like the mainstream, right? Which is funny because Apple is now such a mainstream company. Used to be kind of like the pers- the company that pushed things forward, but now it's really like the masses get all this stuff. If the masses get this Apple stuff and it starts to feel actually useful to them, maybe there is a s- shift in the way that people start to think about AI.
Because up until now, Kevin, if you remember, last year's Apple update gave us a really terrible, like, thing where it would text you summaries of your texts and just, like, gave you just the most [00:20:00] ridiculous text, uh- Yeah ... on top of the things you got. So I do think it's useful. The other thing I do wanna mention here is that they have done some really cool stuff with photos, and I know that their photos, uh, model on s- uh, on the app may or may not be good for just generating photos.
But they're making it so that you can move a photo around after you take it, which is kinda cool. So you can take a photo, and then you can reframe it in some ways. And then a very cool, small, nerdy thing is that they are Gaussian splatting Apple Maps. So Gaussian splats we've talked about on this show before.
It is a kind of a way to capture, um, real life images and drop them on. But there's a really remarkable part of the WWDC part, uh, demo where they showed off what Apple Maps looks like with Gaussian splats. And it does make me think about this idea of if we start mapping the entire world and we have all this data, the amount of interesting stuff that can happen for a platform like the Apple Vision Pro is actually quite big.
And so as much as the [00:21:00] AR/VR world has been kind of written off as dead in some form, I do feel like maybe that in the next couple years could have a big tick up. I,
Gavin Purcell: I fully agree. I was... I, I, look, I'm, I'm still very excited for all of this stuff even though I'm kind of flippant about certain things. Like, I'm excited for it to arrive.
I want Apple to be a major competitor here. Yes. I have Apple devices. Like, I'm in a Mac ecosystem primarily, so I really want them to do well, but I just have to end on this image because you me- mentioned their, um, message summarization, uh, issues from the past.
Kevin Periera: Yes.
Gavin Purcell: This is great. Did you see the one about the house plant?
Kevin Periera: Yes, I saw this. Yeah. Say, just describe this- That's- ... for the people listening to it.
Gavin Purcell: Oh, it is, it... And, and shout out to, uh, Brooks Otterlake who said, quote, "Insane that this is the main a- image Apple is using to show off the new AI Siri. It literally is a text message from someone where above the text message it tries to summarize the message."
"They're the same length. It's basically the exact same message popping up
Kevin Periera: [00:22:00] as the summary." Nothing solved yet, Kevin. It just, ugh. Nothing's really solved. Don't get me- All right, we will see you all on Friday for more Fable 5 talk, and go try it. It's out there. And, uh, we'll see you all soon. Bye-bye.
Gavin Purcell: Bye.