Apple's Biggest AI Announcement This Week (Not MacBook Neo)

Apple released a bunch of new products this week, and everyone's talking about the lineup of cheaper iPhones, iPads, Macbooks, etc.

But what we're talking about today is how Apple's new chip architecture is quickly making it the sleeper giant for AI hardware.

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TIMESTAMPS

0:00 Apple’s Big Week
1:15 The New Devices
4:11 Breakthrough Chip Architecture
7:22 Strategic Positioning
9:34 Outlook
12:33 The Siri Delay
16:02 The Future of Local AI
18:16 Leadership Transition at Apple
20:46 Valuation Predictions
21:36 Closing Thoughts

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RESOURCES

Josh: https://x.com/JoshKale

Ejaaz: https://x.com/cryptopunk7213

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Not financial or tax advice. See our investment disclosures here:
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Creators and Guests

Host

Ejaaz Ahamadeen

Host

Josh Kale

What is Limitless: An AI Podcast?

Exploring the frontiers of Technology and AI

Josh:
If you're a fan of Apple products, this is an incredible week.

Josh:
And even if you're not, chances are something that was just announced in the

Josh:
last three days is for you.

Josh:
Apple just announced over five products this week. But there is a headline within

Josh:
this that everyone's missing.

Josh:
I think a lot of the headlines point to the fact that prices now start at $600,

Josh:
that the specs are now really high, that you can run OpenClaw on a laptop from

Josh:
anywhere in the world at a pretty high rate of performance with models that

Josh:
actually run locally on the device. These are all very cool things.

Josh:
But one of the things that people are missing is the AI angle to all of these

Josh:
releases and how Apple is quietly becoming one of the biggest players in the

Josh:
AI space, even though they haven't actually spent any money on building AI models

Josh:
or scaling their infrastructure.

Ejaaz:
This is probably the most bullish I've been on Apple in the AI race.

Ejaaz:
And the funniest part is that they've made no mention of an AI device,

Ejaaz:
but that's exactly what they released. You mentioned five devices.

Ejaaz:
We've got, what's it, a MacBook Pro. There's a new laptop and a specialized chip.

Ejaaz:
I've got my turtleneck on today, Josh, in honor of Steve Jobs.

Josh:
I'm going to be Steve Jobs, Sarah.

Ejaaz:
For those of you who are new to our Apple episodes, we have the number one fan

Ejaaz:
of Apple on the show. That is Josh. It is his Super Bowl.

Josh:
I'm fired up.

Ejaaz:
Today, we're going to get into the weeds about why Apple just released the top new AI device.

Josh:
Okay, so let's first get into what they actually released.

Josh:
Because there's quite a few things they released the macbook pro they released

Josh:
a macbook air a brand new macbook named the macbook neo which starts at a surprising

Josh:
price point of 600 this is important remember that they released the studio

Josh:
display and studio display xdr pause right there because these studio displays

Josh:
are awesome the previous xdr display used to cost 6 000 this

Josh:
way better specs across the board so i will be trying to purchase

Josh:
one of those bad boys and then finally they released the ipad

Josh:
air and the iphone 17e those two devices

Josh:
are also priced at 600 so for the first time there are three entry-level apple

Josh:
devices priced at 600 bucks and this is important and this is noteworthy what's

Josh:
also important and noteworthy that wasn't mentioned as much is the chip architecture

Josh:
that lives within these devices particularly the new MacBook Pro and the MacBook Air.

Josh:
Now, Apple created their vertically integrated silicon back with the M1 chip,

Josh:
the M series chips, and they are now on the fifth iteration.

Josh:
But this fifth iteration is pretty amazing. And I think that's the product that

Josh:
a lot of people are sleeping on today is not only now do they have the MacBook Neo,

Josh:
the iPhone 17e and the iPad Air that are capable of running Apple intelligence

Josh:
locally for $600, but now they have these chips that are capable of running

Josh:
actually large language models locally on a MacBook. And this is the first time ever.

Ejaaz:
I think this is the most excited I've been about what's inside an Apple product

Ejaaz:
versus what's actually outside.

Ejaaz:
I'm usually a display guy. I'm usually an iOS app guy. I'm like,

Ejaaz:
wow, this experience is amazing.

Ejaaz:
But these chips are actually insane. So let me give you the rundown of the headlines.

Ejaaz:
The AI compute processing power

Ejaaz:
of an M5 chip is around 4x larger than the previous generation of M4.

Ejaaz:
It's 8x larger than the M1, so the first in this entire series.

Ejaaz:
Now you can do a bunch of AI prompts, toolings, apps, and system integrations

Ejaaz:
on your laptop, and it just feels buttery smooth.

Ejaaz:
In fact, it's just super quick. And the reason why this makes me really excited

Ejaaz:
is now you can conceivably host and run AI models on your own local device.

Ejaaz:
That means you can give private access to private data without handing that

Ejaaz:
over to the likes of OpenAI or Anthropic.

Ejaaz:
And you can create a more personalized AI experience without having to hand

Ejaaz:
over all that private data.

Ejaaz:
But there's a really unique architecture around how these chips are made.

Josh:
Before we get into the novel architecture, I just want to double down on something

Josh:
you said, Ejaz, which is a testament to how fast this is relative to previous hardware.

Josh:
One of the fun facts that I love is that previously, when Meta was releasing

Josh:
the LLAMA model, the $70 billion model, that required something like $40,000

Josh:
worth of GPU clusters to run 18 months ago.

Josh:
And now you can run that on this new M5 chip. And that brings us back to the

Josh:
novel breakthrough that enables this to happen, which is the post that we're seeing on screen.

Josh:
They basically took what other companies were calling

Josh:
the chiplet architecture and built their own version of it where you take the

Josh:
cpu and you take the gpu two of these things are both very important to processing

Josh:
ai and they fuse them together into a singular chip and what's interesting about

Josh:
this is the cpu part of the chip is the same on every single version of the ship there's the m5

Josh:
chip there's the m5 pro and there's the m5 max all of

Josh:
those have the exact same cpu the only difference is the amount of

Josh:
gpus that they bolt on so the pro gets 20

Josh:
cores the max gets 40 cores and you could think

Josh:
of it like these lego blocks for apple silicon and this

Josh:
is noteworthy because you can scale this a really

Josh:
long way what we know about ai models in general is that

Josh:
gpus are how you scale these things and the cpu is

Josh:
kind of used as the orchestration layer so this allows

Josh:
these new chips to be modular in the sense that they can just kind of

Josh:
stack gpus more and more and more and i assume this is the architecture that

Josh:
we're going to see with the ultra chip that's probably coming out later this

Josh:
year that's going to be able to run some serious ai models locally on this device

Josh:
and it's a really novel way of architecting these m-series chips that apple's

Josh:
kind of doubled down on and i think

Josh:
we're going to see some really amazing improvements from it what i like

Ejaaz:
About the modular approach is um it doesn't seem to come at the cost of the

Ejaaz:
size of the device like these things are still getting smaller and sleeker and

Ejaaz:
thinner every single year and generation.

Ejaaz:
So that makes me like, you know, super excited about like how much further we can take these devices.

Ejaaz:
The other thing is I watched a really unique video this week where some random

Ejaaz:
dude hacked into Apple's, I think it was their M4 chip. I don't know if you saw this, Josh.

Josh:
This is so cool.

Ejaaz:
Yeah, they converted it into an AI transformer.

Ejaaz:
So what that transformer was capable of doing was training, inferencing,

Ejaaz:
or fine-tuning an AI model right there on his Apple MacBook.

Ejaaz:
And what he found out was the inference and training costs were 80 times more

Ejaaz:
efficient than an NVIDIA GPU, an A100.

Ejaaz:
Now, that's from some lone person hacking into this. And Apple's obviously,

Ejaaz:
not necessarily seen this example, but they're aware that they have the most bleeding edge chips.

Ejaaz:
There is no consumer tech hardware

Ejaaz:
device that has more premium components making it up than Apple stuff.

Ejaaz:
Like their supply chain is just insane. So I'm really excited about that.

Ejaaz:
The other thing is what this unlocks is, in my opinion, what I'm calling a new

Ejaaz:
era of personalized intelligence.

Ejaaz:
I think one of the main challenges that AI is faced today is that we're relying

Ejaaz:
too much on model labs, which kind of results in a more fractured experience.

Ejaaz:
Like the model doesn't know who we are. It keeps asking us to tell us about ourselves.

Ejaaz:
And with this new chip architecture, you can have a more persistent AI agent

Ejaaz:
that understands who you are, that is more useful, that is there right with

Ejaaz:
you in the weeds as you're doing stuff on the internet or on your computer.

Ejaaz:
And that's really bullish for me.

Josh:
I can't help but imagine what it would look like if Apple decided to really

Josh:
scale the manufacturing production of these chips and turn them on for AI training,

Josh:
similar to what Google did with their TPUs, and kind of have their specific

Josh:
hardware accelerated version of these GPUs.

Josh:
I feel like that would be a huge business opportunity, but clearly they are

Josh:
not taking advantage of this position they're in.

Josh:
Because previously on an episode a few weeks ago, we spoke about CapEx,

Josh:
how much money these companies are spending on scaling AI infrastructure.

Josh:
This includes data centers, this includes GPU, powering the data centers,

Josh:
all of the employees that are required to make this happen.

Josh:
And the numbers were staggeringly large i mean

Josh:
between what is this amazon google microsoft meta

Josh:
we have over 630 billion dollars of spend

Josh:
but apple is only at 1.4 which is

Josh:
actually down 19 year over year you

Josh:
see this little sponge down here it's like so sad and depressing and they're

Josh:
spending no money on scaling this and you have to ask like why what is going

Josh:
on here um because clearly they're in a position where they can win if they

Josh:
double down on these things that they're working are working well,

Josh:
but they're just not doing it.

Josh:
And I wonder if you have any takes on this of what you think...

Josh:
Like, what are these other companies doing? And why is Apple not participating?

Ejaaz:
So there's an optimist take on this story. And then there's a pessimist take.

Ejaaz:
The pessimist take is Apple was asleep at the wheel and they were not focused on AI.

Ejaaz:
They completely missed that rush. And they fell behind creating one of the leading

Ejaaz:
intelligence models when they are the most valuable company.

Ejaaz:
So Google, Microsoft, Amazon, and all these companies that you're seeing on

Ejaaz:
the screen here got way, way ahead.

Ejaaz:
Now, the optimist's take is this was all planned because Apple's decision was

Ejaaz:
never to partake in the AI model race.

Ejaaz:
Apple's plan was to own the distribution and operating system layer of AI,

Ejaaz:
which is, hint, hint, what they did with cell phones and the App Store and iOS,

Ejaaz:
and they're doing exactly the same thing on AI.

Ejaaz:
So you could actually look at it as Apple was so smart, not wasting hundreds

Ejaaz:
of billions of dollars of their hard-earned cash, and instead pays Google a

Ejaaz:
billion dollars to rent Gemini and then build an ecosystem right on top of it.

Ejaaz:
It's kind of genius if you think about it.

Josh:
This is like the ghost of Steve Jobs hand, like looking over the company.

Josh:
And actually, if you scroll up on this post a little bit, it's kind of me making

Josh:
fun of Apple and how they've kind of accidentally stumbled upon this miracle.

Josh:
And I would believe the optimist case, if in fact they didn't totally fumble WWDC two years ago,

Josh:
there was a very clear intention to deploy Apple intelligence throughout the

Josh:
suite of hardware and to place themselves into this AI race,

Josh:
it just failed completely and catastrophically.

Josh:
And had that not have happened, I think I could have believed this optimist

Josh:
take where they really are just being slow and calculated. But I think this was an accident.

Josh:
Just so happened to create the best hardware in the world.

Josh:
And it just so happens that all the AI models need to run on hardware just like this.

Josh:
It's kind of like NVIDIA. Like NVIDIA accidentally became the most important

Josh:
company in the world. And it required a lot of execution along the way.

Josh:
And they deserve every bit of that. But they were in a unique position to do so.

Josh:
And I haven't seen any signs of Apple doubling down to do so on the software side, at least.

Josh:
It's only been on the hardware side. And it's only because this has been the

Josh:
trajectory since 2021 when they first launched the M1 chip. But it is interesting.

Josh:
I mean, if we look at this chart down at the bottom of this post here,

Josh:
it shows the increase in CapEx from everyone is going straight vertical and Apple spending none.

Josh:
And yet the Mac minis are sold out everywhere.

Josh:
You cannot buy one because everyone's running OpenClaw on it.

Josh:
The Mac studios are running local models on everybody's machines.

Josh:
The new MacBook Pros are incredible.

Josh:
They're going to be running models. I mean, there's just everything is sold out.

Josh:
Everything is backlogged. They can't make enough hardware to support this.

Josh:
And something is happening here.

Josh:
The market forces are at play and they are saying, Apple, you are making great

Josh:
hardware. Please do more of this.

Ejaaz:
I was joking with some friends the other day that the only real threat to NVIDIA's

Ejaaz:
hardware mode is Apple with their Mac minis and with their laptops because they're the second largest,

Ejaaz:
most valuable company that comes

Ejaaz:
behind them for a reason because they're selling out all their hardware.

Ejaaz:
People can't get enough of it, but consumers in particular use it to run their AI models.

Ejaaz:
On the software side of things, listen, it's not clear just yet,

Ejaaz:
but I do think Apple gets ahead for two main reasons.

Ejaaz:
Number one, they have like the largest distribution ever. I believe it's 2.5

Ejaaz:
to 3 billion active Apple devices currently in the world right now. It's insane, right?

Ejaaz:
So if they wanted to, they could switch on bleeding edge AI via Google's Gemini

Ejaaz:
or their own fine-tuned version of that model to 2.5 to 3 billion people tomorrow, right?

Ejaaz:
So they instantly become the most or the largest consumer moat for AI immediately.

Ejaaz:
But they're taking their time.

Ejaaz:
I believe they're building something much more curated and better than what we have today.

Ejaaz:
Now, the pessimists will say, oh, they're slow. They've been slacking.

Ejaaz:
And I would probably agree with you. But hey, they're the second most valuable

Ejaaz:
company in the world. They can take that time to wait and build something interesting.

Ejaaz:
That being said, all these releases are super cool, Josh.

Ejaaz:
But there's one thing that's nagging me at the back of my head,

Ejaaz:
which is Siri AI has been delayed again.

Ejaaz:
I do not know when I'm going to get this, but it's already been delayed,

Ejaaz:
what, a year and a half at this point.

Ejaaz:
This is, of course, Apple's personal AI assistant, which is probably going to

Ejaaz:
be the conduit and the main spokesman for all the Apple software stuff.

Ejaaz:
So until I see that released, I'm not going to believe that it's actually happening.

Josh:
Yeah, I mean, the software part, again, they just fumbled so hard.

Josh:
There's no denying it and there's no signs that they are going to recover.

Josh:
I think the most bullish thing they've done recently in terms of software is

Josh:
just license out their ai to gemini clearly google

Josh:
can do an amazing job and for a billion

Josh:
dollars a year apple is getting access to gemini models and they're going

Josh:
to integrate locally into perhaps not locally but they'll integrate them into

Josh:
all these mobile devices and that takes us to this new weird place where like

Josh:
there is a potential to shift the current market forces based on this distribution

Josh:
that you just mentioned that google that apple has of multiple billions of products

Josh:
already in people's hands that are AI capable.

Josh:
And this is noteworthy. I mean, what we're seeing with OpenClaw in particular,

Josh:
it kind of set the stage for how strong of a preference people have to running

Josh:
these models on actual hardware that they feel that they own.

Josh:
A lot of people bought OpenClaw not because they needed the compute to run the models.

Josh:
That's not true. You could do this on a $5 virtual private server.

Josh:
They used it because it connected with the ecosystem that Apple provides.

Josh:
They used it because it can query through their iMessages and it could send

Josh:
iMessages and it could call and it could FaceTime and it can use the Apple speed of software.

Josh:
And that is a really big deal. And that gets into this AI edge compute bulk case,

Josh:
which is the idea that everyone needs GPT 678910 served from OpenAI's cloud

Josh:
servers might not be true for the majority of the users that actually just want

Josh:
AI to help them like figure out their grocery store order and summarize their emails for them.

Josh:
And there is a limit to the intelligence that the average user

Josh:
Actually need access to. And it would seem as if a lot of these current models

Josh:
have reached that threshold.

Josh:
Not everyone needs to go cure cancer or solve novel physics.

Josh:
And with that understanding, we're at a moment now where Apple's hardware,

Josh:
particularly this new hardware, is able to run all of these models that are

Josh:
capable of these average use cases locally on device.

Josh:
And that's a lot of users that will be using this.

Josh:
And it may actually be like one of the largest bear cases against companies

Josh:
like OpenAI, like Anthropic,

Josh:
who rely so heavily on customers paying money and using the API fees because

Josh:
these local models are becoming so highly intelligent, so capable,

Josh:
and so small that they could just run on an iPhone.

Ejaaz:
Yeah, I actually wrote about this at length in the essay that we just dropped in our Substack.

Ejaaz:
If you're not subscribed, definitely go check that out. It's,

Ejaaz:
in my opinion, a banger, and it goes through everything that Josh just covered.

Ejaaz:
My thinking about models has evolved pretty drastically over the last month

Ejaaz:
in the light of OpenClaw.

Ejaaz:
Because what I initially thought was OpenClaw was just a bunch of open source

Ejaaz:
tech-heavy developers that were just kind of toying around and messing around

Ejaaz:
with something quite dangerous.

Ejaaz:
And then what I actually learned was that the reason why they were doing it

Ejaaz:
was because it led to a better AI experience overall.

Ejaaz:
And when you and I have tried out OpenClaw and we have a bunch of episodes that

Ejaaz:
demonstrate this, we have just had a much better experience.

Ejaaz:
Like the AI actually remembers you but can do so many things for you.

Ejaaz:
And I think that's where people are eventually going to settle,

Ejaaz:
particularly consumers, like, yeah, okay, we can talk to ChatGPT,

Ejaaz:
but I want it to now do stuff for that.

Ejaaz:
It's much harder to do that if your AI provider is open AI with their own servers

Ejaaz:
versus having an AI model locally on your device.

Ejaaz:
So I do think there's a larger trend, which is going to be around edge compute

Ejaaz:
and local AI devices and local AI models running on your phone and on your laptop,

Ejaaz:
which will lead to a more personalized experience. I'm excited to see people take privacy.

Ejaaz:
More seriously, at this point, with OpenClaw, some of the worst examples of

Ejaaz:
it was the agent would steal your credit card info and spend it on some random

Ejaaz:
stuff or would go rogue and burn up all your compute tokens.

Ejaaz:
You have more control and access over that if you go through an Apple device

Ejaaz:
that might kind of give you a semi-private experience that you don't have to

Ejaaz:
expose all that kind of data.

Ejaaz:
If this trend becomes true, then it completely threatens Anthropic and OpenAI's

Ejaaz:
moat, which have relied heavily on subscriptions.

Ejaaz:
Why would you pay $200 a month on a Claude subscription? I'm just playing the antagonist here.

Ejaaz:
If you could get frontier intelligence for a much smaller model that fits on

Ejaaz:
your mobile phone device, that's a QN model that got released this week,

Ejaaz:
and that can work with all your personalized data.

Ejaaz:
Why wouldn't you just do that? It's a no-brainer, and I understand the thesis

Ejaaz:
behind it. And I think that's what Apple's going after.

Josh:
Well, now we have to ask the question, are they capable of doing this and who

Josh:
is going to get them to this place.

Josh:
And to do so, we have to look at the leadership.

Josh:
We have to go to the seed suite first. And that is thanks to Polymarket,

Josh:
who has prediction markets on who is actually going to be responsible for running

Josh:
the ship after Tim Cook leaves.

Josh:
So it's been widely rumored that Tim Cook is going to be stepping down from

Josh:
Apple to as CEO capacity sometime this year. He's been there for a long time.

Josh:
He's had an incredibly successful run, But it seems as if the Apple C-suite

Josh:
is kind of grooming the next person.

Josh:
And according to Polymarket, John Turnness is going to be that guy.

Josh:
And this is exciting because John Turnness is the VP of, I believe,

Josh:
engineering hardware at Apple.

Josh:
He's a hardware guy. He's the person that has helped design,

Josh:
develop, and lead these devices.

Josh:
And Polymarket has him at, what, over 50% chance of running the company.

Josh:
If he does actually become CEO, is there a world in which he can push this company

Josh:
forward in the sense that they can really double down on this edge AI compute thing?

Josh:
They could get these models running on all the devices, maybe.

Josh:
I think that would be a really fun opportunity to see.

Josh:
And we really need a shakeup. Like Apple's been so slow. They've been so boring

Josh:
for so long that this would make a really big difference.

Josh:
And also there's another market that shows the future products that they're

Josh:
planning to launch. And there's one that I think surprises a lot of people,

Josh:
which is a foldable phone before 2027.

Josh:
At an 84% chance. So by September of this year, you will be able to buy a folding

Josh:
iPhone, which seems a little bizarre. But according to Polymarket, this is true.

Josh:
Thank you to Polymarket for supporting and sponsoring this section of the episode.

Josh:
And yeah, I think it's just a testament as always to how Apple is slow,

Josh:
but they are figuring it out.

Josh:
And man, if they can get this foldable iPhone that turns into an iPad,

Josh:
runs models locally on your phone, it's gonna be pretty cool.

Josh:
So feeling bullish on Apple in general, I mean, what do you think this means

Josh:
for the valuation of the company, EJAS?

Josh:
Like Apple as a stock, is this, are we still being theoretical,

Josh:
hypothetical, or does this convert to actual revenue dollars?

Ejaaz:
I think it eventually converts to revenue dollars, but they're going to need

Ejaaz:
to deliver on, well, they're delivered on the hardware side.

Ejaaz:
They need to deliver on the software side. And that's typically where Apple

Ejaaz:
has really dominated the consumer market. Yes, they built an amazing iPhone,

Ejaaz:
But they also killed it with creating the best perfected app that you can use

Ejaaz:
on your phone and that entire ecosystem for developers and consumers on either side.

Ejaaz:
So they need to pull off the same thing for AI.

Ejaaz:
And the challenge that they're going to face is it's not the same as the internet that we know today.

Ejaaz:
It's going to be a new operating system. You and I have discussed multiple things on the show before.

Ejaaz:
We've discussed perplexity, releasing a new personal computer,

Ejaaz:
and then OpenAI, releasing an AI web browser. And all these random products

Ejaaz:
that you and I don't really use anymore.

Ejaaz:
It's used for very niche things. And what those attempts are getting at is trying

Ejaaz:
to rebuild an operating system around this new weird technology that kind of

Ejaaz:
feels like magic, but is also kind of dangerous.

Ejaaz:
And so Apple is the company that's currently being presented to solve that problem.

Ejaaz:
My bet is they're going to nail it at least within the next kind of two to three

Ejaaz:
years for two reasons. One, they have the largest distribution I was mentioning

Ejaaz:
earlier, 3 billion active devices.

Ejaaz:
So it's easy for them to kind of turn that on. Their biggest threat actually

Ejaaz:
might be Google, but Google doesn't really have the best experience of creating

Ejaaz:
consumer hardware, aka Google Glass.

Ejaaz:
There's actually a new version of that coming out in a few months time.

Ejaaz:
But yeah, I think Apple has the best shot of it.

Ejaaz:
Valuation wise, I actually think it's up from here. And they're currently valued

Ejaaz:
at what, like just under $4 billion or just over $4 trillion.

Ejaaz:
Dollars and i think they're going to see their kind of uh nvidia type rise now

Ejaaz:
um it wouldn't surprise me if they actually compete uh with nvidia for the top

Ejaaz:
spot once once consumer ai takes off.

Josh:
So in summary there is a lot of cool new hardware that just came down the pipe

Josh:
this week there is probably something for everyone and the noteworthy thing

Josh:
is this new kind of ai angle that they're taking they have the accessible devices

Josh:
starting at six hundred dollars they have the high-end devices like these new

Josh:
MacBook Pros that go up to $7,000, $8,000,

Josh:
but that are capable of running these really powerful, impressive local models

Josh:
on them. And is that going to

Josh:
be enough to actually start to detract away from the market shares of these

Josh:
other players like OpenAI and Anthropic. We will see.

Josh:
We will be monitoring the situation as always, but that is the news as it relates

Josh:
to Apple this week. It is a huge release in hardware.

Josh:
Are they accidentally sleepwalking into success or is this a tactical master plan?

Josh:
We don't know. Perhaps the new CEO, John Ternus, will tell us.

Josh:
But until then, thank you so much for watching. Like he just mentioned,

Josh:
he has a newsletter about this, about local edge inference that is releasing

Josh:
as you're watching this episode.

Josh:
It's out. So you can find that on our sub stack linked in the description below.

Josh:
Another way that you can help us is by sharing this episode with your friends.

Josh:
That always goes a long way. Share it with someone who you think will be interested.

Josh:
We do this four times a week, 25 minutes.

Josh:
If you listen to all of them, there's nothing that you will miss in the world

Josh:
of AI because our job is to keep you up to date. And thank you so much for staying up to date with us.

Josh:
And yeah, we will see you guys on the next episode.

Josh:
Hold on let me feed our system prompt we're you are going to record an absolute

Josh:
banger of an episode right now and you're going to make no mistakes think hard let

Ejaaz:
Me feed my biological llm you're going to absolutely smoke this episode and

Ejaaz:
it's going to go even more viral than the previous episode make zero mistakes.

Josh:
Let's go this is why we should charge premium all right i know