Transcript
You know how everyone’s got all these
markdown files and you can’t keep them
in Notion. You don’t know where to put
them. Obsidian gets too complicated.
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about when you have your agent try to
look up information on the internet and
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the most important data to you. That and
so much more coming up. presented by
Zapier, the AI automation company.
>> Peter, the audience loved you last week.
It was the number one GitHub repo show
that I ever did. So, I’m glad that
you’re back. Thank you.
>> Let’s get into the first repo of the
week, which is last 30 days. Skill, I’ve
been really eager to talk about this.
Here’s what this is about. You and I
know that when we’re doing research,
especially for stuff that I’m doing over
here, the most relevant information is
on sites that are hard to access like X,
which will keep blocking my bots. And
it’s not just on these sites. It’s also
within the last 30 days. Don’t give me a
tweet that happened six six years ago or
even frankly uh six months ago. It’s not
relevant anymore. What he did, Matt, was
he created a skill set right here that
makes it easy to go and pull that data.
And that’s why people are loving it.
I’ve actually, I think, plugged it in
the f in the past, but it never really
made it into the top 10. It is now
number one the most popular repo of the
week. What do you think of this? I mean,
do you want your own little kind of like
mini Gartner industry analyst on your
side? This is that kind of skill. Uh,
you know, it’s going to go around and
pull stuff from all sorts of places. And
>> Mhm.
>> you might be like, “Hang on, how’s it
going to grab stuff from X when I
haven’t got an API key? I’m not paying
for the access.” Uh, and that’s because
hidden within this repo, there’s lots of
little tools for accessing things like X
and YouTube and stuff like that. And it
uses your own browser’s cookies. So, it
kind of acts as if it’s you,
>> which you know is something you might
want to be careful with. Um, but, uh,
yeah, if it works, it works. And it is
it is a common technique to get around
the platforms locking you down. Use the
things you’ve already got that you’re
logged in with, and then these tools
synthesize all that information it finds
into a deliverable that then you can
read and enjoy and use however you like.
I’m pretty sure though they did ask me
for my YouTube uh, API key and maybe
even my X. I think it’s doing it’s doing
both. I thought I could be wrong, but
you’re saying the heart of this is it’s
not supposed to, right?
>> It’s not supposed to, but you can bring
your own keys into this app. So, if
you’ve got keys, then it will use them.
Um, but I believe it has fallbacks so
that it will use, you know, it will try
and slurp things out of your browser if
you are logged into those sites.
>> Okay. I I like this um video here that
shows Matt actually using it. Let’s do
>> this is one
that I did right before we started. So I
said last 30 days highest performing
cold email frameworks for ICP out output
three email variant subject line.
So it went on X went on Twitter found
Reddit threads expost web pages and what
what’s interesting how I use this tool
is I often don’t even read what it says.
Like sure it’s interesting to see what
it learned but mostly I just wanted to
write a good email. So I said, “Can you
write me some cold emails for getting on
Greg Eisenberg’s podcast?” Uh, sorry I
spelled your name wrong. Good target.
Startup ideas later. It’s all about
unconventional startup ideas, community
building unique relevance. Know what’s
your angle? What’s your credibility
signal? Any connection points to Greg?
Mutual follows. What timely? Uh, talk
about AI tools I’m working on and I once
made a smart oven. Uh,
okay. And then what he’s using is he’s
looking it up, seeing what’s hot right
now and what’s effective for cold email.
And then he’s having his AI write it for
him. Good use case. He’s got a few
others. And of course, we’ve got the
report here with the full video for
people who want to go see it. I love
that. Next, number two is Headroom. This
has been especially popular this week.
How would you explain what this does?
So, we had this one last week, but it is
back. Um, and the whole way that it
works is that it uses various forms of
analysis of basically big things that
are going over the wire. So things like
log files and JSON files and things like
that. It kind of has these techniques to
boil them down into kind of like minimal
representations of what the agent
actually requires to do its job. Um, and
then that supposedly will significantly
reduce the number of tokens going over
the wire. And there is some uh you know
the truth to this technique. Some of
their own benchmarks showed minor gains,
but then I believe you have some
benchmarks from them that show
significantly bigger gains uh when
performing specific tasks like debugging
and so on and so forth.
>> Yeah, it’s and I think it’s because of
Fable. Everyone is now seeing that Fable
Fable is really powerful, but at the
same time it just burns through tokens.
>> A lot of people have burned through
tokens within a day um all of their a
lotments. And so this is becoming
especially hot. Um there is an old post
here that I’ll include in the show notes
for people that that just shows that
um actually
I I asked you did you understand what he
said and you said oh yeah um what what
is he saying here? He’s evaluating lots
of different tools like this. So this is
a list of various different tools and
technologies being used to basically as
I said take things like JSON. So where
it says there smart crusher for JSON
DDUP and structural compression it’s
because things like JSON files uh and
JSON documents contain often lots of
things that repeat over and over and
over. So if you can strip all of that
out dduplicate it that’s what ddup
means. Uh then you can sign
significantly make it smaller and then
smaller equals you know fewer tokens.
Uh, and it’s the same thing with code as
well. So where it says they’re aware
code compression, that’s basically
taking the structure of the syntax of
code and then boiling it down to just is
bare essentials so that you can make the
code smaller. Again, fewer tokens over
the wire.
>> Okay. All right.
Let’s go on to the next one. I really
like this one. I love Notebook LM
because this is Google’s project where I
can really learn things the way that I
like to learn things. My way of using it
is I will put a big document into it and
then I end up with a chatty podcast
where two people who sound like NPR
hosts are talking about and teaching me
the topic. The problem that I have with
it is those two people get very boring
because you still hear the same two
people in the same approach over and
over again. And um I think that there
are other features I would want and I’d
want to pull it away from Google’s
framework because I think they’re
smarter models that I’d at least like to
experiment with. And so what they did
here was, and here it is. It’s open
notebook. They basically said, “Let’s
reproduce what notebook is doing, but
give people a lot more flexibility. I’ve
got a really good video here that I I’d
like to play a little bit of, and I know
people have told me to told you, I
guess, or told me that we we should not
be talking over so much, but I’ll let it
play a little bit, and when I get
annoyed, I’ll stop.” First, the podcast
generator. Notebook. LM made AI podcasts
feel actually pretty cool. If you
haven’t played with it, maybe you
should. If I run it here, well,
something else happens. Take a listen.
>> It’s a game changer for researchers
looking for autonomy and privacy.
Absolutely, Alex. I think one of the
coolest aspects of a lama.
>> Cool, right? But Open Notebook gives you
more control over that format. You can
generate podcasts from your sources,
configure the structure, and use
multiple speaker profiles instead of
being stuck with one fixed style.
multiple speaker profiles is is where
they got me. Maybe not even have two
people. It doesn’t have to be two
different personalities every time, but
even have a third person. Anyway, it’s
great. We have a full link here uh for
everybody who wants to go check it out.
Any thoughts on this?
>> I think the biggest win here is privacy.
So, when you’re using Google,
everything’s, you know, going up to
their servers or whatever, but this
really pitches itself as being something
that you can run locally on local
models. Now, you might think, oh, it’s
gonna not sound very good or not perform
very well because obviously running
local models is very intensive and a lot
of people’s machines just can’t run
them. Uh, but as we saw, that’s getting
better. Uh, and last week we had, I
think, something called Vox TTS, which,
you know, we tried out and produces
absolutely amazing voices in such a
small amount of space. Um, that
actually, you know, you could produce
voices that are entirely prompted. You
could say, “Oh, I want it to be someone
with a particular accent or, you know, I
want it to be,
>> you know, you just describe who it is
you want it to sound like.” Uh, you
can’t do that with Google. You can do
that with local models. So, it is worth
a try. Um, you know, but it is going to
be worth setting it all up. So, don’t
think it’s just as simple as Notebook
LM. You know, you’ve got you’ve got
things to set up here.
>> Um, that team, by the way, reached out
to me and I love that they did. I’m
hoping I get to talk to them. I’ve got
another video here for you to take a
look at when when we’re done, folks.
And now comes up my comes my sponsor
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thanks to Zapier, we’re al also going to
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between here, the top 10. And the first
one came from you, Peter. What is this
one?
>> So, I first saw this in an ex post by
Justine Moore, who is a partner um at
A16Z,
>> and she was very impressed with what
came out of this. There, this is the uh
the tweet here. So, what you do is you
direct this skill um it’s a codeexon one
at the moment because it uses Codeex’s
built-in image generation tools. What
you do is you point this to like an
article and preferably one that you’ve
written yourself. Uh, and it will go
through and yes, this all written in
Chinese. I did translate it into English
to see what it was about, and it’s all
pretty straightforward, but you point at
your content. It works out some
metaphors for the different things that
you’re trying to communicate in that
content. Uh, and then turns it into
these kind of cool illustrations with
this um, black kind of like blob
character that you can see. Um, and it
adds annotations. And by default, it I
think it does actually do it in Chinese,
but you can just tell it do it in
English and it will do it in English.
And uh I’ve played with this quite a bit
and I’ve actually been really impressed
with the kind of the metaphors that come
out of it. It’s you know quite
impressive and it’s using uh the GBT
image 2 model for generating the images
behind the scenes because that’s what
Codeex uses. I really like that you
found this. I mean honestly for me I
love that we’re doing the top 10 because
it says something. But I also actually
not also I prefer these great finds that
people wouldn’t discover otherwise. Like
this one. This is called Taria. And this
is another one that you found. Oh, this
is so beautiful. I’m so glad you turned
me on to this. People are going to love
it. Uh, what’s the problem this is
solving? And then what is it looking
what does it look like?
>> So, lots of people now, um, me included,
have lots of markdown notes. Uh, you
might want to categorize them and just
keep them around, you know, on your
system, be able to search them and be
able to, you know, look at things and do
a whole wizzywig markdown editing thing.
This does all of that. So, there’s lots
of other tools of this kind of nature
out there, but this one is open source
and it’s free and it’s particularly
focused on AI integration if you want
it. I mean, you don’t have to use AI
with this whatsoever, but you can uh
because all of the files that it uses
are literally stored on your file
system. So, you could have something
like, you know, co-work just produce
files and edit the files and it doesn’t
even have to use the app. Like, it can
just edit the files on the file system
and then they automatically update in
real time within this uh you know, note
management app. So very cool. I gave it
a run um and really liked it, but uh you
know, it’s a case of migrating over to
these things. I’ve already got my own
system, but I would very you much like
to try and get that done. I’ve seen so
many people look for tools that will
help them keep all their markdown files
organized. Obsidian is the one that’s
talked about the most, but for most
people, Obsidian is too much and it’s
it’s just not engaging. Meanwhile, look
at this. Pretty looks simple. Looks a
lot like Notion to be honest with you.
In fact, I don’t know why, but they also
have at the top right here under
properties Notion ID. So, I’m guessing
they’re pulling documents out of Notion,
too. There. Um, but it is such a good
find. I love that you got that. Oh,
there’s Luca, the founder. Um,
>> there he is.
>> Final one came from me. I’m really
excited about this one because as soon
as Fable came out, I saw this dude Riley
Brown pushed this video on X, which just
went insane. Guys, Claude Fable or
Mythos is absolutely insane. On the left
here, we have the actual level lovable
mobile app. And here we have a lovable
mobile app that I built in two prompts
with Claude Fable 5. This is the chat
thread. Here’s prompt one. And then I
just said run it on simulator 2 and then
go. So that just counts as one prompt.
And then it did some stuff. Did some
stuff. And then I just screenshotted all
the screens on Lovable. I just need you
to redesign it to look exactly like
this. And
>> okay, and it did it. It made it look
just like Lovable as you can see on your
screen. But the cool part is that at the
end of it, he said, “You know what? I
now want you to build me something.” And
the thing he said to Lovable to build
was Notion. The thing he said to his
copycat of Lovable that Fable built is
Notion. And then it went headto-head.
And you know what he said? In some ways,
I really like mine my version better. I
guess there were some people who said,
“Is this real?” He then put it up on
GitHub and said, “Here you go, folks. Go
play with it and you see for yourself if
this if this stands up.” It’s got 67
stars. I don’t necessarily recommend
that you replace lovable with this.
Like, get it. It’s riable. Riley’s
lovable, but it gives you a sense of
what can be done with Fable. And as soon
as I saw this, my eyes were open to what
I could build. I love this. What do you
think?
>> I don’t have a lot to add to that
really. I mean this is clearly one
developer’s passion project and you know
that’s one of the reasons that people
stick with things like Lovable and Bolt
when they get them working is because
you know they know there’s a massive
amount of money on the table and there’s
a big team and all that type of thing
but it is great to see that just
individual developers can spin you know
spin things like this up now. It’s
totally within your power if you’ve uh
you know got the skills to do it.
>> Don’t use it to replace lovable use it
to see what you can
>> not just yet. No.
>> Okay. So now number four repo of the
week is PM skills 68 skills and 42
chained workflows AC across nine
plugins. I was like ho hom about it and
I was a little sheepish and then you
said no there’s a real value here. What
do you see that’s valuable in this?
Again you know this is another one of
these repos that’s full of different
skills and prompts. uh it is basically a
big prompt library but this is clearly
built by someone who you know has a
little bit of knowledge about project
management. I know nothing about project
management. So any guidance that I could
get is valuable. Um but it doesn’t it
does have some commands in it. So you
can do things like uh get it to
interview you about your project and so
it will just keep drilling you with
questions until it can put together a a
plan um and it will do things um you
know like help you do consulting and
strategy and all those types of things.
I don’t know those areas too well, so
this is useful for me. But I would say
if you do have any knowledge of those
areas, this is another one of those
repos to go through, read, and steal
from because you might not want to take
on their approach to project management
wholesale. You might want to come up
your own thing. Um, and this will give
you a good basis upon which to build
your own, you know, tooling to do those
interviews on yourself.
>> We’ll say, you know, I usually like to
find YouTube videos that illustrate this
to see how other people use it. I found
one. These guys went through it and it
was terrible. And then I got in my own
head. I go,
>> I take it all back.
>> No, no, no, no, no. It wasn’t the skill
that’s terrible. Their video was skill
was terrible. So I go,
>> oh no, they’ve they’ve got a lot of
views, but it makes no sense what
they’re saying. They’re just, am I that
bad? And then I started getting in my
head about like, I’ve got to get better
here. I’ve got to prepare more. And then
I drove myself and my family crazy this
morning trying to like go through this
and not be bad and not So anyway, I’ve
got no video on this. Just all I got is
a head case on this and I’m working
through it. So, let’s go on to the next
one. OpenAI plugins. This is another one
that I didn’t fully comprehend the value
of until you and I talked and uh it’s
from OpenAI. It’s plugins for their
software for Codeex. What is this?
Well, of course, I just want to firstly
say that, you know, everyone should go
and use your um sponsor Zappia,
>> but this does provide some similar
skills if you’re willing to kind of get,
you know, deep down dirty with codeex um
and you want to plug in things like Asa
and Air Table you can see on the screen
there, but also things like Gmail and um
GCAL and different research things as
well I noticed were in there like things
I would never use, but there’s like
research APIs and things if you want to
provide access to those to codeex these
are the plugins to do so because you
know they’re kind of semiofficial or
probably even fully official. I don’t
really know what the third parties have
to say about it but this is what OpenAI
is putting forward as saying like you
know you want to hook into like notion
for example then install this plugin
into codeex and off you go you can ask
it to do this and do that. So, um, you
know, this is kind of almost like a a
homebrew local version of some of like
what tools like Zappy are doing in
connecting things together, but yeah,
you kind of have to figure out all the
moving parts for this. What I also saw
was that it does it’s it’s about getting
data out of these tools to do something
with the tools. It’s not just
open-ended. So, for example,
>> I might connect Notion directly into
Claude,
>> and that’s fine. But what they’re trying
to say here is if you want to turn a
spec into implementation in claude, we
also are going to have that covered and
this will find the specs, turn it and
start to implement. That’s it’s like a
not connect. It’s not about the
connection from what I understand. It’s
about the utility with guidance. Am I
getting that right?
>> No, I totally agree. I mean and this is
the type of thing where you can use
these tools within your other workflows
that you’re doing. So let’s say you know
you’re building uh an app in codeex and
you want it to use your project
management system like say Jira or
something like that for doing tickets
and said you know you could you can tell
it you know go and look at the tickets
that are currently on our system pull
them down implement something and then
update the ticket with comments or
whatever it is that you want to do. So
it just allows you to plug in these
third party systems into your codeex
workflow.
>> Okay. All right. There’s our launch
video. I’ll leave it for everyone to get
in the show notes. We’re going to move
on to agent reach. This is one CLI that
lets your agent read and search Twitter,
Reddit, YouTube, GitHub, and other
sites. Um,
you you made a distinction between this
and the first 30 and the last 30 days uh
skilled, sorry, the last 30 days repo
that we talked about in the beginning.
What’s the difference here?
>> When I looked through the code, I just
kind of saw some similarities between
the two repos. So that last 30 days
thing, you basically give it a topic and
it produces a deliverable uh of, you
know, what happened in the last 30 days
in whatever topic you want, but
underneath the hood, it’s using a bunch
of tools to access things like X and
YouTube and so on and pulling data from
those to synthesize that report. Well,
this is like if you just took that layer
of tools and just turned that into a
thing. So, if you want more granular
access, if you want to be able to ask uh
Claude or whatever, you know, go and
look on X for such and such or look on
YouTube for whatever it is that you
want, um then this is the kind of the
more surgical like the surgical knife
that allows you to do that without
producing that big deliverable. You just
use it within whatever workflow you’re
working on at this current moment.
>> I like this example for LinkedIn. Tell
your agent, “Help me set up LinkedIn.”
Um yeah, again this is for researching
for understanding somebody. When I talk
with Adam about tools like this and I
say how do you use it? He says that they
use it all the time in the venture
studio because one of their companies is
trying to hire so they want to research
people. One of their companies is trying
to buy a company or work with the
company and so they need good research
tools. They don’t want to have somebody
clicking a mouse on a screen and that’s
where this comes in. Make sense?
>> And it does a few it does a few Chinese
social networks as well. I don’t know
anything about these networks, but
>> um I believe the developer is Chinese
and so they’ve added in these various
other sites that I’m completely unaware
of like was it Billy Billy Billy or
something? I don’t know. I know nothing
about these sites, but uh I guess you
know if you want access to them, then
great.
>> Yeah, I don’t know if you noticed, but
when I read off the list of sites that
you can read from, I intentionally said
and others once we had get to the
Chinese ones to make sure that I didn’t
mispronounce them.
>> Not familiar with these.
>> Okay, the tool still works. Really
popular and it’s number six this week.
Uh again, download everything in the
description. Let’s go on to this one.
Less applicable to our people, but still
worth knowing about. This is Nvidia’s
open platform for world models, data
sets, and tools for physical AI. We’re
now talking about robots, autonomous
vehicles, smart infrastructure. I’ve got
kind of a video here to to show.
Anything you want to say about this? Um,
not really. other than the fact that
this is a new kind of what they call an
omni model. So it can handle lots of
different types of input, not just text,
but also, you know, like movement within
space and images and all this type of
thing.
>> So it’s good for people that working in
the physical space, which is not me. I
know absolutely nothing about robotics,
but you want to look at robot arms
moving around, then this is the place to
do it.
>> Yeah, they do have that on their site.
And I do wonder if people who are who
were listening are doing that. I’ll tell
you this folks, I stopped talking over
the videos because one commenter told
told us that and Peter uh Peter noticed
it and told me if this is something that
you’re building with, let us know. Let
us know how you’re using
>> of omnidreams, an action conditioned
world model. Cosmos predicts the future
frame by frame.
Post train Cosmos and it becomes a world
action model. Perceiving, reasoning,
planning, generating actions.
Okay. Um, I like that it’s here. I like
that we’re getting more substantive and
getting offline. I don’t think it’s
applicable to most people. We’ll move on
to number eight. Oh, before we do, we
keep commenting on how some repos don’t
seem to fit here. How do they get all
these stars? And you have said, look,
some people do. Adam actually said some
people buy. You’ve been questioning
some. And then you you highlighted
these. Uh, what are we looking at here?
So, I noticed that this Phantom Stars
account, which I know nothing about what
this is, but
>> it’s a tool of some kind that is going
around and commenting on different repos
where it thinks there has been what it
calls fake engagement. So, it’s not
making a direct, you know, accusation,
and we’re not making a direct accusation
that these projects are engaging in any
kind of like buying stars or whatever,
>> but it’s saying we’ve noticed that there
are these users that are very suspicious
and do nothing but go around and like
random repos and have no other activity.
So, I just thought it was interesting
that it cropped up on a few of the ones
that we’ve covered today. But, I guess
that makes sense since they are the most
popular ones of the week. They’re the
ones that are most likely to uh attract
this, you know, whether or not it’s
being done intentionally or not.
Yeah, they’re going to get the most
everythings. Okay, so we’ve got links
here for those. It is happening.
>> It’s a thing.
>> Yeah. And if anyone has any information
about this, let us know. I’m curious
about who’s buying stars. What does
stars cost? I’ve been hearing a lot
about people who are buying engagement
on X and doesn’t cost that much. Some
anywhere from
>> I’ll star your repo for 1,000. So, you
know, if anyone wants that help, you
know,
>> they want bots to do it. They want a
thousand repos for 1. Okay, this is
bringing up Taste Skill is bringing up a
really big issue, which is that
everybody’s design looks the same.
Especially if it comes from any of
Claude’s products, except I don’t know
about Fable. I’ve been hearing Fable’s
getting better at it. But if you want to
create your unique taste, if you want to
create your unique angle, don’t start
with what Claude has and adjusted. Start
with something brand new. That’s the
vision here. Um, and they’ve got here,
let me show you a before and after from
this video.
>> So, you can see this is a very basic
landing page. Um, so even though I think
it’s uh decent, but it’s pretty basic.
So, let’s check out the one that has the
test skill.
>> Taking a moment, but he’ll get it.
>> And you can see that this is better. So,
this is actually really premium. And you
can see that uh the UI is very elevated.
So, it’s very good. So
>> that’s that’s the idea here. You can
take a look at their site, which of
course we’ll link to, and uh and you can
get a sense of their design style. I
like it. I like these a lot. What do you
think?
>> I think it’s very important to note that
you are basically trading one set of
cliches for another with skills like
this. So, like when I went into and look
through the skill files, you know, it’s
got all these different kind of like um
tones like brutalist design and a
minimalist design and a soft design
which you can see on that page as well.
>> Um and if you go into the skill files,
it basically says, oh, you know, like a
soft design will use these types of
colors and it will use these types of
fonts,
>> but you’re really just over, you know,
steering the model away from what it
would do by default into this other kind
of lane. So, you’re just trading one set
of cliches for another. Um, but the good
thing about it is you can take repos
like this. you can go in and say, “Well,
actually, I want to make my own style
inspired by all of this.” Copy and paste
it, change the fonts around, change the
colors around, and then bam, you’ve got
your own little design system uh come
out of it. So, I don’t mind repos like
this. It is nice to see what other
people’s takes are on designing things.
Um, and it’s kind of like fun to play
with. Uh, you know, it’s not like it’s
producing code that’s going to
completely break everything. It is
basically just changing the design, the
style, the CSS, the fonts, and so on.
Um, so yeah, experiment, play, but also
again, you know, I’ve said this on so
many repos. It’s a case of go into the
repos, look at the skills, and see if
you’re happy with what it’s suggesting
because you might not like you might not
like these designs, but you can change
it. What I like about this video from
Dev’s Kingdom is he he shows how easy it
is. He just has it create another
version. He clicks it open and he shows
us what it looks like. And I think
that’s another fun thing about this.
Just throw your design at it, see what
it can do, and then adjust. All right.
This is Apple’s own tool to run Linux
containers as lightweight virtual
machines on Apple silicon.
This came out at WWDC this week. How and
what’s going on with this? So I mean
this idea um even at Apple has been
actually around for you know a year or
two now which is that it allows you on
Mac OS to basically run Linux within a
tiny
virtual machine within your machine. Now
you’ve been able to do this with third
party tools for a long long long time.
This is you know a technology that goes
back decades but now Apple’s getting in
on the action and people were thinking
well why why would they want to do that?
And that’s why the announcements at WWDC
this week in particular were interesting
is because they’re taking it to the next
level. So it’s not just about running,
you know, a random Linux in a VM. You’ve
been able to do that for years. They’re
focusing more on the integration now
between Mac OS and these underlying VMs.
So they’re adding in things like being
able to keep the file system synced
between the two. Um, and hopefully, you
know, they will eventually get it to the
point where it’s a bit like there’s
something in Windows called WSL which
allows you to run Linux and it fully
integrates with Windows. You can even
run graphical apps from Linux and they
appear on the screen, you know, almost
as if they’re Windows applications.
The idea is that hopefully you’ll be
able to do all of this as well with Mac
OS eventually. Uh, they’re just kind of
like teasing out bit after bit and Tim
Snif there is one of the people that’s
actually working on this feature. Um, I
mean, one of the things actually I found
quite funny about this tweet is that he
said, “Oh, you know, I love what’s going
on with Apple Container.” And someone
replied back and said, “Oh, you know,
we’ve been able to do this for years and
people didn’t realize he’s the guy
actually implementing this stuff.” So,
it was one of those kind of scenarios,
but it’s nice to see that Apple’s
interested in this and they’re allowing
the people to talk about it. That’s
quite unusual at Apple with technical
stuff. You know, you don’t often see
them tweeting about things that they’re
actually implementing. So, it seems like
they want to engage with our community
and they want, you know, developers and
particularly AI developers to use these
containers. I mean, they’re technically
VMs, um, to run workloads safely within
a Mac OS machine without it taking over
the entire machine. And that is one of
the things that this allows you to do.
All right,
repeat. Mark it down. Coming back again.
This one keeps making into the top 10.
This is m Microsoft’s
way of helping you turn PDFs into
markdown office docs, images, uh, audio
into clean markdown files, even YouTube
videos into markdown files. We we’ve
talked about it before. So, you know
what? Today, what we’re going to do is
we’re going to have this YouTuber who I
I can’t tell if this is a real guy or
not cuz he’s so like he’s so always on
exactly right here. So, maybe he’s super
edited. Everyone uploading PDFs to
Claude is basically wasting their
tokens. And Microsoft had a free
solution to this for months. So every
time you upload a PDF, Claude has to
process the entire thing. The
formatting, the broken tables, the
images, and all the extra junk inside
the file. And each PDF page can consume
between 1,500 to 3,000 tokens. So 20page
document burns through up to 70,000
tokens in one shot. And this is before
you even ask your first question. The
fix is simple. It’s called Market It
Down, a free Microsoft tool with over
110,000 stars on GitHub. It takes any
file, be it PDFs, Word docs, Excel
sheets, PowerPoints, or even YouTube
videos, and converts them into clean
markdown text. This drops your token
usage by up to 70%. And Claude actually
gives better answers because it was
trained on millions of markdown
documents and understands the format
natively. Plus, Mark Itown comes with an
MCP server, meaning when you connect it
to Claude desktop, it automatically
converts every file you upload to a MD
file. So, check the pinned comment for
the tool link and the full PDF guide.
>> All right. I like his his way of doing
it. Do you think he’s human?
>> I’m not sure. But are you human?
>> I would like to be less human.
>> I definitely am.
>> I would like to be less human. I’d like
to get like more AI into the scripting
here. Look at how organized he was with
that.
>> All right. Of course, that report with
his video and everything else is going
to be in the description. Before we go,
Peter, what are you up to this weekend?
I am literally doing nothing. I’m
attending a family barbecue, but other
than that, I’m doing nothing because I
just need to decompress. All these stars
are literally getting into my head.
>> I need to like get rid of the stars.
>> That
>> Yeah, I am going to be mowing, mowing,
mowing this weekend, doing a lot of yard
work, and then Olivia is taking the two
older boys with her to San Francisco to
be with her family. And I’ve got the
baby with me for 10 days. And I don’t
know what we’re going to do.
>> I’ve done that before.
>> Yeah, it’s um it’s something. But, you
know, he’s in daycare. And then I think
I think on the weekends I’m going to
take him to um
>> to San Antonio. We’re in Austin. And
I’ll take him to a museum where he can
run around all the time. And I’ll bring
my guitar with my earphone so I could
practice and just have some downtime
while he’s running. All right. So, there
it is. As the next video now that this
is over, you should know that there have
been some incredible AI releases this
week that did not get a much attention
because Fable was big and also because
people just don’t have that much
attention span. We found the best ones.
In the next video that you’re going to
watch, you’re going to see them. See you
in there.