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With release of the new 2025 M5 #MacBookPro and 2025 M5 #iPad Pro, the new #Apple M5 chip pumps up #AI and graphics processing power amid other gains.
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0:00 M5 chip
10:06 14-inch MacBook Pro
13:48 iPad Pro
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0:00
[Music]
0:01
We were expecting an Apple event.
0:02
Instead, we got a storm of press
0:04
releases. So, we're going to talk about
0:06
these. Let's start with the um the
0:07
actual M5 chip because this thing is a
0:09
fascinating the changes that Apple has
0:11
made. So, Griffin is going to tell us
0:12
about the chip which is underpass all of
0:14
these products. Let's go. Take it away,
0:16
Griffin.
0:16
So, we've heard rumors that the M5, you
0:19
know, this is the the third time they're
0:21
they're building it on the 3nometer
0:22
process, although, you know, they
0:24
supposedly improve the process every
0:26
time. And everybody was saying, "Oh, you
0:27
know, the M5, it'll be a little talk
0:29
instead of a tick." You know, not not a
0:31
big change, just a little incremental
0:32
one. And that's a little bit true of the
0:34
CPU. But the headlining feature is its
0:37
completely redesigned GPU architecture.
0:40
Apple has embedded a dedicated Nerdle
0:42
accelerator into each of the 10 GPU
0:45
cores. Um, a first for the, you know, M5
0:48
chip. I think we've seen this on the uh
0:50
A19 chip as well on the iPhones last
0:52
month. But uh this architectural change
0:55
delivers over four times the peak GPU
0:57
conver compute performance for AI tasks
1:00
compared not to the M1 but to
1:03
immediately last year the M4 times
1:05
better than last year's chip. More than
1:07
six times the performance of the M1
1:09
chip. So huge leap. It has enhanced
1:12
shader cores that deliver up to 30%
1:14
faster graphics performance compared to
1:16
M4. You know, again, usually Apple Apple
1:20
like sort of fakes these statistics by
1:21
like comparing it to a few years old,
1:23
but no, this is a 30% leap over just
1:25
last year. Uh, their third generation
1:28
ray tracing engine provides an
1:30
additional 45% graphics uplift for
1:33
realistic lighting and shadows to 3D
1:35
games and, you know, rendering software
1:37
like that. The M5 features what Apple
1:40
claims is the fastest performance core
1:42
in a in a CPU. The chip includes six
1:45
efficiency cores and four performance
1:47
cores, which is I think the the same as
1:49
last year, but together these deliver up
1:51
to 15% faster multi-threaded performance
1:54
compared to the M4. You know, yeah, this
1:57
is a slower iterative year for Apple
1:58
Silicon, but it's worth noting that even
2:00
Apple's slower years where they're
2:02
having a 15% gain in the CPU, that's
2:04
still miles better than what Intel would
2:06
do over a single generation. And if they
2:08
even had a single generation in a year,
2:10
like
2:10
Apple's doing this every year. It's
2:12
insane. I mean, how often did Intel
2:14
update its its uh flagship chips? I I
2:16
don't remember now, but it definitely
2:17
wasn't every year.
2:18
It was like 18 to 24 months, and Apple
2:20
didn't even use everyone and every
2:22
computer, and they would only be like
2:24
five% better.
2:25
Yeah. Yeah. Yeah. Yeah. Madness.
2:27
Madness.
2:28
So, the even the boring times that we
2:29
live in are still pretty good times. Um
2:31
the improved neural engine, uh Apple
2:34
didn't give any performance metrics for
2:36
this one, curiously, but it's improved,
2:38
so we know that much. I have to take
2:41
their word for it. Uh 30% more memory
2:44
bandwidth than the M4. This statistic
2:46
doesn't get a lot of uh you know ferver
2:49
around it, but like you know faster
2:50
memory bandwidth that means you know the
2:51
all the applications on your computer
2:53
just like load faster when you switch
2:55
between them. Um so that gets 30% faster
2:58
than the M4. It has the same amount of
3:01
memory like the M5 is limited to a
3:04
maximum of 32 GB. So it looks like we're
3:07
not looking at increases in like you
3:08
know memory capacity. And that's
3:10
generally true of like the whole family
3:11
of chips. Like if they if they don't
3:13
increase it for the M5, it probably, you
3:15
know, the the memory capacities will
3:17
probably be the same across the board,
3:18
but bandwidth is increased. So
3:20
this is this is the onchip unified
3:22
memory, isn't it, though? It's not the
3:23
it's not the the RAM or the, you know,
3:25
the uh anything else. And in fact, this
3:27
is the key, isn't it, to the to to Apple
3:29
Silicon's magic, the unified memory
3:31
architecture.
3:32
Yeah. Yeah. And specifically with, you
3:35
know, AI and and graphics performance
3:37
like on a on a PC, the traditional PC
3:40
architecture, you have your your your
3:41
memory, which is only available to the
3:43
CPU. And if you have a discrete graphics
3:46
card, which you really do if you want to
3:48
do any serious gaming or AI or video
3:51
editing or anything like that, your
3:52
graphics card has its own separate pool
3:54
of memory that's local to the card. And
3:57
usually you don't get very much, you
3:59
know, only like a a gigabyte or two or,
4:01
you know, nowadays you get more memory
4:02
on the graphics card. But still the fact
4:05
that on Apple silicon you can have the
4:07
whole pool of memory shared between
4:08
everything means that if you're not
4:11
doing anything else and you're just
4:12
running you know a you know an Xcode
4:14
compile or a you know rendering a 3D
4:17
scene it has it has the ability to pull
4:20
from the whole pool of 32 gigabytes of
4:21
memory when you would have to buy a very
4:23
expensive graphics card to get 32 GB of
4:25
memory
4:26
right and I mean it's also faster too is
4:28
it sharing between uh the different
4:30
components of the system you know this
4:31
is Apple's integration isn't it like you
4:33
par excellence. Everything crushed on
4:35
the thing. Of course, like people lost
4:36
their mind when when Apple silicon first
4:37
came out because you couldn't upgrade
4:38
the RAM
4:40
afterwards, could you? You know, like it
4:41
was um it was you you you got what you
4:44
originally bought. And of course, a lot
4:45
of people uh of course a lot of, you
4:48
know, uh consolation amongst, you know,
4:50
traditional uh Apple users.
4:52
I mean, Apple users are are kind of used
4:53
to that, aside from the 12 people who
4:55
bought the Mac Pro because Apple's been
4:57
you know, even when memory was separate,
4:58
they were still soldering it onto the
5:00
logic board, you know, from like 2012.
5:02
Yeah. Yeah. Yeah. Well, it was always a
5:03
big thing because Apple used to charge a
5:05
fortune for me, didn't it? So, it's
5:06
always
5:07
it's still very expensive. Like, you
5:09
know, it I I don't remember how much
5:12
memory. I think I have 32 gigabytes of
5:13
memory and it's it is very expensive
5:15
upgrading.
5:16
Yeah, this this unified memory thing I
5:18
think people are finally getting used to
5:18
it and seeing the advantages of it and
5:20
you know there are a ton of advantages.
5:21
I mean the Apple so is I although I I
5:24
haven't looked but I remember seeing
5:25
earlier that Qualcomm I think is
5:27
starting to catch up. Do you know
5:28
anything about that? their ARM chips are
5:30
almost as fast as Apple's now. I mean,
5:32
that's the thing. Apple's been losing a
5:34
lot of their uh you know, talent on the
5:36
Apple silicon team at the very highest
5:37
levels. Like a few notable people have
5:39
been have been going elsewhere. I think
5:41
there's a they a few of them moved off
5:44
to like create a new startup that I
5:45
think was bought by Qualcomm and you
5:48
know now we might be seeing the the
5:49
fruits of that. But um you know that's a
5:51
problem that Apple has. They're Apple
5:53
doesn't pay their employees as much as
5:56
other Silicon Valley companies. And so
5:58
whenever they have like some you know
6:00
unique innovation that's like you know
6:02
within their own company they you you
6:05
see some of the higher level people get
6:06
pawned off to other places. But um
6:09
meta meta yeah it's supposed to be
6:10
poaching all Apple's AI talent right
6:12
now.
6:12
Isn't that crazy? Like what why does
6:14
Apple underpay it? It doesn't make any
6:17
sense of all
6:18
Tim Cook's got to keep his margins you
6:20
know.
6:21
And the kind the kind of money that
6:22
Zuckerberg's offering is like absolutely
6:24
mindbending and it's kind of obscene and
6:26
disgusting. In fact, really, in fact,
6:27
and it really burns chaps my hide, but
6:30
the people should, you know, but anyway,
6:32
uh let's
6:32
So, yeah, Qualcomm's chips are are
6:34
starting to catch up. Um but on on the
6:36
PC side, Apple is still going to keep
6:37
its competitive edge for a long time
6:39
just because, you know, uh Microsoft has
6:42
tried to diversify Windows. They've
6:43
tried and failed to diversify Windows
6:46
off of the Intel x86 architecture so
6:49
many times and every every single
6:50
attempt has failed. But now they're
6:51
trying again uh with their new um
6:55
Windows Co-Pilot Plus PCs, I think is
6:58
the branding they're giving them. These
7:00
are all these are all PCs. Oh, actually
7:02
I don't even know if those those require
7:04
ARM processors in them. I don't think
7:05
they do. But uh they're trying again to
7:09
go after these uh to to move Windows on
7:12
ARM and I think they're a little more
7:13
successful this time, but we'll still
7:14
see.
7:15
Yeah. Yeah. Yeah. Well, um, uh, do the
7:18
one other question I had as well is is
7:19
about the neural accelerator versus the
7:21
neural engine. Do you know the
7:22
difference between the two? What what
7:24
does this mean? The neural neural that's
7:25
attached to the GPU cores. Do you know
7:27
how that works?
7:28
Neural accelerators is basically just a
7:29
fancy and GPUs are aren't very different
7:33
at all because all of it's just a bunch
7:36
of matrix math. like this the the same
7:38
you know matrices that you use to you
7:40
know calculate graphics in on a graphics
7:43
card is virtually the same as like the
7:44
matrices that you use to you know
7:46
calculate um you know AI tasks and
7:48
machine learning tasks it's all the same
7:50
math so the the same structures that
7:53
make these neural accelerators and the
7:54
neural engine itself you know there
7:56
there are some differences but high
7:57
level explanation they're they're very
7:59
similar so it's basically moving a tiny
8:01
neural engine inside the GPU itself
8:04
you know presumably obviously for for
8:06
for AI task, isn't it? Rather than
8:08
generalized GPU um graphics rendering
8:10
tasks or this is making it faster for
8:13
specifically for for AI tasks. I was
8:15
looking actually I saw an article where
8:17
they're comparing um Apple Silicon I
8:19
think it was a couple of generations ago
8:20
to Nvidia's chips. Um and of course
8:23
Nvidia's chips uh have um far more um
8:28
compute power but when you compare it to
8:30
power which you know uh at the moment uh
8:35
that the AI industry doesn't doesn't
8:37
seem to be concerned about but this is
8:38
is going to be a massive concern going
8:39
in the future is and they're talking
8:40
about you know building these massive
8:42
data centers that will consume you know
8:45
I mean more power than a than a city um
8:48
and um Apple silicon is looking really
8:50
competitive if you know even for data
8:52
centers and we haven't heard very much
8:53
about uh Apple building its own data
8:56
centers with its own silicon have we?
8:57
There were some rumors I think last year
8:59
but I don't think that there's I haven't
9:01
heard any news recently but of course
9:03
you know like with with power um this is
9:05
you know Apple Apple silicon is going to
9:07
be
9:08
uh is competitive with with even
9:10
Nvidia's most powerful chips which I I
9:12
thought was kind of mindboggling.
9:15
I mean, that's been the story of Apple
9:16
Silicon. Like, yeah, you can still buy
9:17
an Intel powered PC with more raw
9:19
performance, but Apple always focuses on
9:21
performance per watt, which is why
9:23
they're able to make laptops with like
9:25
16 hour, 24-hour battery life. And I
9:27
think as I think the the the broader AI
9:31
bubble, maybe maybe it doesn't burst,
9:33
but like, you know, slowly brings itself
9:35
back down to reality, I'll say. You
9:38
know, we're not going to see as many
9:39
like, you know, 10 billion dollar
9:40
investments in data centers because that
9:42
that won't be as profitable. Apple is
9:44
focusing on, you know, running AI
9:46
locally on device and performance per
9:47
watt is incredibly important for that.
9:49
And these things uh uh you know, I mean,
9:52
iPhones and and Macs, they're running
9:54
rings around um anything you can get on
9:57
the uh on the uh Windows side, aren't
9:59
they?
9:59
Mhm.
10:00
It's um it's cool stuff. Yeah, I think
10:03
pretty fascinating these uh these chips.
10:05
Uh let's talk about the first product
10:08
that this is going to be put into uh the
10:10
14-inch MacBook Pro, which gets the M5.
10:12
What? Why don't you tell us about that,
10:13
Lewis?
10:14
Yeah, so it's just the new chip, no new
10:16
design. Uh, it's funny. You start
10:20
talking about all these comparisons and
10:21
it's like compare this to this chip,
10:23
this to that chip. Uh, Apple says M5
10:25
model can finish AI tasks. 3.5 times
10:27
faster than M4. And uh, and here we go.
10:32
Massive 6x GPU boost over the M1.
10:36
Why go back to that? I never understand.
10:38
Anyway, uh, I
10:40
look better.
10:42
It seems to me like this was this stat
10:44
here was different from what you
10:46
actually said, Griffin. Uh they call a
10:49
10 core CPU the world's fastest CPU core
10:51
that they this story from our website
10:55
says it delivers 20% faster
10:56
multi-threaded performance in M4.
10:59
I think it actually might vary per
11:01
product they put it in to some degree.
11:03
Is that per which model you get like
11:06
Yeah. Okay. Uh let's see. uh a speed
11:09
boost extends to the SSD in the computer
11:11
with uh 2x faster performance.
11:15
That's a big that's a important stat
11:16
there, right? Isn't it?
11:18
That's wild. I mean 2x
11:20
Yeah, crazy.
11:22
Uh you you can configure the machine up
11:24
to 4 terabytes of storage. That's
11:26
awesome. Uh let's see. They're going to
11:29
be available beginning you can already
11:32
pre-order them, but they they're going
11:33
to be in stores and get delivered on
11:34
October 22nd. That's next week. Uh
11:38
starting price remains unchanged at
11:39
$1599. That gets you 16 GB of system
11:43
memory and 512 GB of storage.
11:47
Uh they have not yet taken off the M4
11:51
Pro and M4 Max versions. Those are still
11:52
available. So uh you know maybe if if
11:55
you want the super powerful laptop, you
11:57
you have probably we're going to next
11:59
spring when those will get upgraded. So
12:01
yeah, this squares the rumors of, oh,
12:04
there's going to be a MacBook Pro in the
12:05
fall and there's going to be MacBook
12:06
Pros in the spring. You know, some of
12:08
these MacBook Pros were delayed, some of
12:09
them aren't. Like, uh, apparently
12:11
they're just releasing at different
12:12
times. So, this is only the entry level
12:14
MacBook Pro there. There's no M5 Pro, no
12:17
M5 Max, and that's coming later.
12:20
And those things are going to be crazy
12:21
screams, aren't they? Because I saw
12:22
something on uh Twitter saying that the
12:24
fastest Apple chip right now is the M3
12:27
Ultra, I think. Right. That that's kind
12:30
of an interesting point. Apple's Apple's
12:32
now spreading their products across like
12:33
three different generations. They have
12:35
the the the the latest entry- level M5,
12:38
but they have the M4 Pro and M4 Max, but
12:41
then if you buy a Mac Studio, you can
12:42
get an M3 Ultra. And I think you can
12:44
still buy a Mac Pro with an M2 in it.
12:46
So,
12:48
they're they're all across the board.
12:49
But, um
12:50
Well, the Ultra and the Max versions of
12:51
the M5 are going to be crazy fast,
12:53
aren't they? They're going to be like
12:54
just insane.
12:55
Mhm. But, you know, the the Ultra chip,
12:58
the M3 Ultra is the fastest if you
13:00
happen to be doing a task that can be
13:02
like parallelized by by your computer
13:05
across all of its different cores. Um,
13:08
but that that is not how how most people
13:10
work. So,
13:11
no, no, no, no. Unless you're running an
13:13
an LLM locally or uh Midjourney or some
13:16
other kind of like, you know, diffusion
13:18
model.
13:19
I haven't Have you actually loaded a a
13:21
um any kind of LLM? Have you tried
13:23
playing around with anything on on your
13:24
local system? Um, no. I I don't really
13:27
have a particularly impressive system
13:29
for that.
13:30
Right. You don't I'm not a big fan of
13:32
AI.
13:32
Yeah. Yeah.
13:33
I forgot about that.
13:37
The people who leave reviews on iTunes
13:39
have not.
13:40
Right. Yeah. Maybe we'll talk about that
13:42
later on when we when we talk about the
13:43
uh
13:44
uh get to the reader question. Um, so
13:47
Apple Yeah. So the the other product,
13:49
let's move on to the iPad Pro. So, the
13:50
iPad Pro gets the end uh M5 processor.
13:54
And just like the MacBook, uh it's
13:56
basically the same. It's the primary
13:57
change is the the the uh the M5 chip. Uh
14:01
what didn't happen is kind of
14:02
interesting. No second camera on the
14:04
front. Uh widely rumored that it was
14:06
going to get that didn't. In fact, but
14:08
the Russian within the Russian leaks,
14:09
one of the Russian leaks, remember that
14:11
the Russian leakers thing,
14:13
one of them uh one of them I think
14:15
claimed that it did have a camera. So,
14:17
uh anyway, they were wrong. I was
14:19
waiting for that.
14:20
But the other the other guy said, "Yeah,
14:22
there's no second camera, right?" And
14:24
everybody's go, "Well, how can that be?
14:25
It's supposed to be happening."
14:27
Mhm.
14:27
Turns out he was right.
14:29
Duh. Nah.
14:32
Net yet camera.
14:35
Uh, the good news is that all everything
14:36
all the, you know, the cases for the
14:38
iPad Pro, they're still compatible with
14:39
the M5 version and the Apple Magic
14:41
Keyboard is still compatible with this
14:42
version, too. So, you know, all nice and
14:44
backwards and capable. So, it gets the
14:46
same 15% improvement in multi-threaded
14:47
performance over the M4.
14:49
Third generation rate tracing engine
14:51
offers one point one and a half times
14:53
faster 3D rendering and rate tracing
14:55
than the previous iPad Pro. Again,
14:57
artificial intelligent performance is up
14:58
to three times uh three and a half times
15:01
faster than the M4.
15:03
Uh and this is unusual for Apple anyway.
15:05
They um now you know how much RAM is
15:08
included in the newest tablets. And this
15:09
is actually in the store too, isn't it?
15:10
You know, so when you go to buy it, when
15:12
you try to configure it, it'll tell you
15:13
how much RAM. Apple never used to do
15:15
this. Uh where are we? So yeah, 12 12 GB
15:17
of unified memory. Um, and that's a 50%
15:20
increase for the 256 GB and the 512 GB
15:24
variants. But if you bump it up to one
15:27
or two terabytes,
15:29
um, you get more RAM.
15:31
Mhm.
15:32
Right. Uh, how much is it?
15:34
16 GB.
15:35
16 gigabytes. 16 gigabytes. So if you
15:38
bump it up, uh, the storage options are
15:39
the same. It's um uh you get 256 and 512
15:43
plus you get one terabyte and two
15:45
terabyte uh configurations. Again, the
15:48
access is faster memory access. You get
15:50
two two two times faster storage read
15:52
and write speeds. That's no that's not
15:55
too shabby right there.
15:57
Um but if you want the actual maximum
16:00
iPad Pro performance, you've got to step
16:02
up uh to the bigger uh storage options.
16:07
I'm getting confused here with all these
16:08
notes.
16:10
It's weird because Apple doesn't uh let
16:13
you configure an iPad the same way you
16:15
can configure a MacBook Pro. You can't
16:16
allocart choose more memory or CPU cores
16:19
the same way you can on the Mac. So if
16:21
you want the higher the maximum
16:23
performance, the unbinned chip, you have
16:26
to upgrade to one or two terabytes of
16:28
storage. If you get the 256 or the 512
16:30
GB versions, you get one less
16:33
performance core, but you know the same
16:35
10 GPU cores.
16:36
How how big a difference do you think
16:37
that makes?
16:39
very little.
16:40
I can't imagine it makes very much
16:41
difference at all. You know, especially
16:43
on an iPad where like, you know,
16:45
only recently you've been able to run
16:46
apps like Final Cut Pro or Logic Pro. I
16:49
I can't imagine a lot of people would
16:51
really be noticing
16:52
Flappy Bird and Netflix and uh
16:55
although the amount of the amount of
16:56
memory that you have in your iPad does
16:58
affect how many windows you can have
17:00
open in the new windowing mode before it
17:02
stops starts to like silently kill them
17:05
in the background. So, that that's
17:06
something you would notice. Yeah. Yeah.
17:08
Yeah. Yeah.
17:09
So, yeah, the lower storage tiers get uh
17:11
only 12 gigabytes of RAM and only nine
17:15
CPU cores, but the one and two terabyte
17:17
options get 16 GB of RAM and also the
17:21
ability to uh option it with the
17:24
nanoexture glass. That option is only
17:26
available on the expensive ones as well,
17:28
right? Yeah. And that's 100 bucks more.
17:29
So, I looked at the I went and looked at
17:31
the store. So the ter the the one
17:32
terabyte version without the nanoteex
17:35
glass and Wi-Fi only is like 1,900 bucks
17:38
1,899
17:40
which you know that's a pretty penny for
17:41
an iPad. Um but I mean look what you're
17:44
getting. That's crazy powerful machine.
17:47
Um if you want to get the nanoextured
17:49
glass with Wi-Fi and cellular that's
17:50
2,200. That's for one terabyte. And then
17:53
that I maxed out the, you know, the
17:55
what's the most money you can spend and
17:56
that's a two terabyte model with
17:58
nanoexture glass and Wi-Fi and cellular.
18:01
That's 2,600 bucks.
18:05
I know before tax, that's a lot of money
18:07
for an iPad. But, you know, I mean, I've
18:08
been using my my iPad's been running for
18:10
what, six years now? Six, seven years.
18:12
So, you're going to get a lot of a lot
18:14
of use out of it.
18:14
I mean, Matt Burcher pointed this out in
18:17
Apple's lead image of the of the press
18:19
release. They show the iPad attached to
18:21
the Magic Keyboard like framed at an
18:23
angle where if you show this to like
18:24
anybody who isn't intimately familiar
18:26
with the Apple product lineup, they
18:28
would think, "Oh, that's a picture of a
18:29
laptop." And they even have it like
18:31
shown with, you know,
18:33
like 10 different windows of different
18:34
sizes overlapping on the screen. Like
18:37
Apple is very clearly positioning the
18:39
iPad Pro as like, "Yeah, it's expensive
18:40
for a laptop. It's not expensive for a
18:43
computer. Like this is basically a
18:44
MacBook that you're buying."
18:46
Yeah. Right. Yeah. Yeah. Yeah. Exactly.
18:47
Yeah. Yeah. Yeah. And lots of shots with
18:49
the keyboard too as well, isn't it?
18:51
Yeah. I mean, definitely definitely a
18:52
pro machine. Definitely a pro machine. I
18:54
still haven't, you know, like I don't
18:55
know. It'll be interesting. We should do
18:56
a poll in the newsletter to find out
18:58
like how many people use an I the only
19:00
person I know is Ed Hardy uh uses uses
19:04
an iPad for work. And of course, you
19:05
know, he's one of the cult writers. Um
19:08
uh but he's been a dedicated iPad um you
19:11
know, as his main machine for for years
19:13
and years now. And he swears by the
19:14
thing. But I I I you know, I I got to
19:17
look into it. I'd be kind of curious to
19:18
know like if you know what kind of
19:20
workflows are people using iPad Pros for
19:22
and uh and how many people are using
19:24
them but I there obviously is a market
19:25
right Apple keeps on popping these
19:26
things out there's they're definitely
19:28
selling these things so there definitely
19:29
are people are using them but uh I mean
19:31
most people I know stick to their Mac I
19:33
think or their MacBook um and the good
19:35
news is if you get the nanoexture glass
19:37
you also get the you get a free
19:38
polishing cloth which and everyone
19:41
everyone was noticing as well like oh
19:43
it's been updated to you know now it's
19:45
compatible with the with the M5 you know
19:47
cuz Apple update on its website.
19:49
Yeah, I mean I if I had the money, I
19:52
would love one of these things. I would
19:54
love one. But uh beautiful, beautiful
19:57
machine. So thin. Really, really, really
20:00
well made. Absolutely.
20:01
Have you Have you played with them in
20:02
the stores? I mean, obviously not the
20:03
new ones, but the M4 ones.
20:04
I did. Yeah, I just went and checked
20:06
them out. Yeah. Yeah. Lovely. Absolutely
20:07
lovely. I hate going to the Apple store.
20:09
Oh my god, you know, it's like, oh no,
20:10
look at that that I can't afford. Look
20:12
at that other thing I can't I'll never
20:13
get
20:15
it. Uh but yeah, they're so thin and and
20:17
uh so nicely made. And of course, you
20:19
know, the it's a great great device,
20:22
isn't it? And I've tried using it. I
20:24
mean, I tried myself actually a few
20:25
times to try to use it for work. And and
20:27
there's always like some stupid little
20:29
thing that is incompatible like in our
20:32
CMS, you know, with WordPress. Something
20:34
won't work. It wouldn't fill out this
20:35
one particular um field or something
20:38
like that. It was always some dumb
20:39
really tiny minor stupid little thing
20:43
that styied the workflow. Um, and so I
20:46
never adopted it. Like, you know, maybe
20:47
I should try that again to see if I
20:49
could actually get away with using an
20:50
iPad uh for for my workflow, which isn't
20:52
that demanding, you know, it's it's all
20:54
kind of web- based, browser based, not
20:56
doing anything really, you know, crazy
20:57
on it. But, uh, uh, I'd like to try it
21:00
again. And like I always actually I
21:02
bought a um I've got my iPad mini here,
21:04
which I hardly ever use, but I bought a
21:06
little tiny keyboard for it, which um I
21:09
I got to start using. Can you remember
21:11
the old Revo? I don't know if you ever
21:13
uh this probably before your tying
21:14
Griffin, but it was a tiny little PDA
21:17
like a you know a personal digital
21:18
assistant like it was a a rival of the
21:20
Palm Pilot, but it came with a little
21:22
tiny keyboard. The keyboard was only
21:24
about I don't know six, seven inches
21:26
wide. So you had to like peck on this
21:28
thing with your fingers, but it was so
21:30
cute and it had a brilliant design where
21:32
it would it would fold up on itself.
21:34
Oh yeah. uh uh of course it was
21:37
completely useless for anything really
21:39
and the software was horrible but um
21:42
the form factor was always so attractive
21:44
was like oh it's like a really little
21:46
tiny little mini laptop you can actually
21:47
literally slip into your pocket. Um and
21:50
I was definitely curious to see if the
21:51
mini could do the same thing. thing. I'm
21:52
sure it'll be an exercise in
21:53
frustration, but um I'll give it a
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