00:00:00
we've been in the weeds testing over 400
00:00:02
agents I go to bed and I have agents
00:00:03
doing work for me I wake up in the
00:00:05
morning my agents have been already
00:00:06
working all night we have probably at
00:00:08
least 50 agents working for us I go into
00:00:10
all these agents testing them with very
00:00:11
similar problems that I I think there's
00:00:13
450 agents in total that we've tested so
00:00:15
far there's some actually cool ones off
00:00:17
the shelf that I think people can use
00:00:18
this is a podcast with Adam Silverman
00:00:21
the founder of agency we talk about
00:00:23
which AI agents everyone should use how
00:00:25
companies are making millions with
00:00:27
agents and how you can go from beginner
00:00:30
to expert all right so Adam what are
00:00:31
some of the most common use cases for AI
00:00:34
agents you see I think there are some
00:00:35
agents that are working really well
00:00:37
across like every vertical so sales for
00:00:38
example there's some really incredible
00:00:40
sales tools some really incredible
00:00:41
research tools out there can you talk
00:00:43
about the sales agents more because the
00:00:44
closer it is to generating money the
00:00:46
more people are interested there are so
00:00:48
many sales agents out there there's Omni
00:00:50
aomni it's incredible for doing like
00:00:52
data enrichment for prospecting then we
00:00:55
have another one called God mode it is
00:00:57
so incredible I can literally go in have
00:00:59
have you tried God mode no but I have to
00:01:01
okay you have to I'll get you on the
00:01:03
beta but really awesome tool I I was
00:01:05
actually using yesterday I can go in and
00:01:06
say find me every Fortune 500 CTO find
00:01:10
me their LinkedIn their email do full
00:01:11
data enrichment on it and you can build
00:01:13
Out full email sequences all within
00:01:15
their app what is like your new one of
00:01:16
the new tools that's your favorite I'm
00:01:18
still like obsessed with Claude I've
00:01:20
been using it every day I'm still very
00:01:22
bullish on lutra AI so I'm using that
00:01:23
for a lot of workflows I go into all
00:01:25
these agents testing them with very
00:01:27
similar problems that I have and then I
00:01:29
find certain agents are really really
00:01:30
incredible at certain tasks I have these
00:01:32
kind of like little agent teams on every
00:01:34
platform um that I used for different
00:01:35
things speaking of Agents you have
00:01:37
massive announcement to make right yeah
00:01:39
so uh some awesome news work sites
00:01:41
announced our fund raise of over $2.6
00:01:43
million under the name agencies so
00:01:46
A.C we've been in the weeds testing over
00:01:48
400 agents and we're really really
00:01:50
excited to announce this fundraise to
00:01:52
really help companies make sure they can
00:01:54
get their agents into production so if I
00:01:57
understand correctly agob is going to be
00:01:59
you know one of the tools and agency is
00:02:01
going to be more like holding company
00:02:02
yeah it's it's really exciting so we
00:02:04
have like a bunch of announcements
00:02:05
coming up so we still have Integrations
00:02:06
directly with crei with autogen um we
00:02:08
still integrate with laying chain llama
00:02:10
index mulon all these uh players
00:02:12
directly through aops but now we also
00:02:14
have the ability to go out and build
00:02:15
really really complex agents that
00:02:17
basically any Fortune 500 company can
00:02:20
start using Day Zero oh so you want to
00:02:22
like pivot more towards like pre-built
00:02:24
agents like there are going to be some
00:02:25
agents off the shelf that we offer
00:02:27
companies are coming to us with the
00:02:28
craziest agent IDE as possible like
00:02:30
truly like full n10 workflows that even
00:02:32
a human team couldn't physically do but
00:02:34
if custom Solutions are required we're
00:02:36
very happy to to figure out how to
00:02:38
basically leverage our our expertise our
00:02:40
knowledge our team of incredible
00:02:41
engineers and go and build out these
00:02:43
amazing solutions for them how big is
00:02:44
your team right now so uh it depends if
00:02:46
you count all the agents good answer
00:02:49
good answer yeah I know because honestly
00:02:51
I think we have probably I'm thinking
00:02:53
like at least 50 agents working for us
00:02:55
and uh like I go to bed and I have
00:02:57
agents doing work for me I wake up in
00:02:58
the morning my agents have been already
00:03:00
working all night there's some actually
00:03:01
cool ones off the shelf that I think
00:03:02
people can use most of you are waiting
00:03:05
you're waiting for the right opportunity
00:03:07
the right business idea the right time
00:03:09
but if you keep on waiting you're going
00:03:11
to miss the a Evolution me and my team
00:03:13
have spent hundreds of hours testing
00:03:15
different ways to make money with AI and
00:03:18
I believe we found the best one in the
00:03:20
new Society we help you go from zero to
00:03:23
$1,000 a month with AI I even give you
00:03:26
the AI agent I've built so you can make
00:03:28
money with it all you have to do is
00:03:29
follow our system for getting client
00:03:31
that's it so if you have good work ethic
00:03:34
and want to make money with AI make sure
00:03:35
to join it's the first link in the
00:03:37
description there's one called Mindy
00:03:39
what it does is it looks at your
00:03:40
calendar and then it gives you a full
00:03:42
like almost report on everybody you're
00:03:44
meeting with and before I go into a
00:03:45
meeting it gives me basically every data
00:03:47
point I could ever imagine about a
00:03:49
person this is really helpful imagine if
00:03:51
it took me let's just say 30 minutes or
00:03:53
my assistant 30 minutes to go research
00:03:55
everybody meeting within a day and i'
00:03:56
meetings in a day yeah that would be
00:03:58
that would be four hours of time and now
00:04:00
this is something that before I even
00:04:02
wake up in the morning the first message
00:04:03
I look at in the morning is here all the
00:04:05
meetings you have here's you know quick
00:04:07
fact on everybody here's their LinkedIn
00:04:09
here's maybe the most recent news
00:04:10
article they're mentioned in here's some
00:04:12
data on them that you know could make
00:04:13
the conversation exciting and this is
00:04:15
just like this is off the shelf like
00:04:17
this is not like crazy stuff by any
00:04:18
means and the fact that this is only
00:04:20
going to get better with better llms and
00:04:21
like you know it's just like it's crazy
00:04:24
for people who are running lots of
00:04:26
meetings like this is and again it's
00:04:28
it's not like um you know this is this
00:04:30
is the boring part of the work right
00:04:32
like researching stuff like you know
00:04:34
looking people always think that um AI
00:04:36
agents will take jobs but it's more like
00:04:38
you know the the repetitive boring task
00:04:40
so you can do more of the fun stuff more
00:04:42
of the creative stuff oh for sure like
00:04:46
it sounds kind of crazy but I think the
00:04:47
president gets these types of briefings
00:04:49
and I almost have that every day and it
00:04:51
really it's like it's fundamentally
00:04:52
leveling up how I am I think like
00:04:54
another you know very easy example
00:04:56
anybody can start using today is like
00:04:57
one of these notaker apps that you know
00:04:59
exist in your calls so like you use like
00:05:01
fathom and there's a whole bunch of
00:05:02
different ones out there and it makes my
00:05:04
followup so much more meaningful it
00:05:06
makes me you know really engaged in the
00:05:08
meeting because I'm not worrying about
00:05:09
taking notes and I think this is the
00:05:10
type of thing where it's so easy to set
00:05:12
up like as long as your company allows
00:05:13
you to use them and long as long as like
00:05:15
you have permission from people to
00:05:16
record it's such a massive win I cannot
00:05:19
wait for the day when we have like a
00:05:21
complete agent assistant that just you
00:05:23
know has access to your computer knows
00:05:25
your goals knows what you should be
00:05:26
working on knows like your weaknesses
00:05:28
like where you tend to waste time right
00:05:30
and just like holds you accountable
00:05:31
gives you real time reminders maybe
00:05:33
we've like connected to like Apple watch
00:05:34
or some other variable or maybe like you
00:05:36
know AI glasses I think this is coming
00:05:38
relatively soon and I think this is
00:05:40
going to unlock so much like human
00:05:42
potential right people always like don't
00:05:44
like the word productivity right because
00:05:46
you know people outside of business they
00:05:48
just feel like it's a corporate term but
00:05:49
just like human potential just imagine
00:05:51
like how much you know stuff goes to
00:05:53
waste purely because people waste time
00:05:55
you know everybody can write a plan in
00:05:56
the morning but sticking to it is much
00:05:58
harder right so so I think these AI
00:06:00
tools will just make that much more
00:06:02
doable and I mean yeah as somebody who
00:06:04
likes to be productive instead of
00:06:06
wasting time I just cannot wait for that
00:06:08
100% like the folks that induced are
00:06:09
doing this I I've seen like some
00:06:11
incredible work on their side um there's
00:06:13
a few other companies I'm really bullish
00:06:14
on the work of open interpreter so
00:06:16
there's a guy Mike bird from there he's
00:06:18
doing amazing work and kilan they're all
00:06:20
doing amazing amazing work there um and
00:06:23
truly like I made a tweet about this a
00:06:24
while ago but what I want is basically
00:06:26
everything I ever do in my life to be
00:06:27
fully recorded and I want to basically
00:06:30
almost have like a coach saying hey Adam
00:06:31
don't worry I'll take this off your
00:06:33
plate you don't need to send that email
00:06:34
or that newsletter you were going to
00:06:35
send out I you know let me get the
00:06:37
structure for you you can just review it
00:06:39
and I think the the big aspect we're
00:06:41
going to see with agents and I think
00:06:43
like you know maybe going a bit a year
00:06:45
or two down the road and this is what
00:06:47
I'm bullish on is that you're gonna go
00:06:48
from being reactive where it's like a
00:06:50
human asking to do something to
00:06:52
proactive and that's going to be the
00:06:54
biggest shift possible so I think right
00:06:56
now everyone's battling and like one of
00:06:58
the reasons like we're really like
00:06:59
seeing a lot of success with AGS is
00:07:01
because everyone's battling with
00:07:02
reliability so right now like the fact
00:07:04
is even on the pro or sorry on the
00:07:07
reactive front um it's it's still very
00:07:10
important to make sure that this agent
00:07:11
can do the task correctly but do you
00:07:13
think it has to be like local or
00:07:15
something like encrypted because you
00:07:16
know if it's recording everything
00:07:17
there's like big security questions
00:07:19
there yeah I think the folks at
00:07:21
Limitless AI have been working on this
00:07:22
quite a bit um if they're listening to
00:07:24
this like we we're always happy to chat
00:07:26
I am very bullish on what their team's
00:07:27
working on um but I think that there
00:07:30
will be you know maybe it's an Azure
00:07:32
offering or maybe a gcp offering or an
00:07:34
AWS offering where okay we now know that
00:07:37
everything is being recorded it's you
00:07:38
know by the user at big companies
00:07:40
everything's already being recorded if
00:07:42
you work at one of these big
00:07:42
organizations you know every keystroke
00:07:44
you make every you know uh every website
00:07:47
you visit everything's already being
00:07:48
recorded so it's not that crazy I think
00:07:50
whether or not the organization wants to
00:07:52
give the power back to the user to
00:07:53
leverage that that's another question
00:07:55
and also just like in the physical world
00:07:57
like if you go into any big city whether
00:07:58
it's SF new York Dubai there's cameras
00:08:01
everywhere right so I think the like
00:08:03
privacy is becoming more of an illusion
00:08:05
maybe like if you move into the forest
00:08:07
or whatever but uh I think the what what
00:08:09
people really have trouble with is
00:08:11
having the AI companies like access to
00:08:13
the data right I mean obviously if you
00:08:14
work for some company it's kind of
00:08:16
understood that the company you know you
00:08:18
probably have a work laptop and you
00:08:20
cannot access certain websites but if
00:08:22
you're an entrepreneur or like you know
00:08:23
in a spare time people a lot of people
00:08:25
don't want open AI to have their data
00:08:27
right or anthropic what ever they they
00:08:30
are really like afraid of um not
00:08:32
necessarily like somebody knowing what
00:08:34
they're doing but you know be having
00:08:36
that trained on in the future and they
00:08:37
just want to like that Assurance I mean
00:08:39
that's why the interest in local agent
00:08:41
is so big even though like most of the
00:08:43
times it's just like the difference is
00:08:45
so like the locally run stuff is just so
00:08:47
bad and especially most people don't
00:08:48
have like the topof thee line MacBooks
00:08:50
so they can only run run like 8 billion
00:08:52
models and you know the difference
00:08:53
between 8 billion models or like CLA son
00:08:56
or gb40 is just massive right so it
00:08:58
doesn't even make sense logically to
00:09:00
want that but still the demand is huge
00:09:03
because of you know people want that
00:09:04
feeling that you know open AI or
00:09:06
whatever isn't taking their data for
00:09:08
sure and like we so aov just became
00:09:10
hypoc compliant and so now we're talking
00:09:12
to like a lot of these Healthcare
00:09:13
companies and what we're realizing is
00:09:16
there are certain industries that I
00:09:17
think will be ryant on local model it's
00:09:19
a lot easier to get a CTO and a CIO to
00:09:23
buy into let's run this locally then
00:09:25
even if every vendor along the entire
00:09:27
spectrum is hippoc compliant and
00:09:29
everything like that it could still be
00:09:30
like you know they don't want these
00:09:32
infractions to say the least they do not
00:09:34
want to have any issues they don't want
00:09:35
to like you know have any risk but I I
00:09:37
still think there's actually opportunity
00:09:39
for like the most Cutting Edge companies
00:09:40
in the world to leverage the best models
00:09:42
and still probably remain competitive in
00:09:44
the long run so we'll kind of see how
00:09:46
this plays over the next six months and
00:09:47
we're going to do another episode I I
00:09:49
know eventually and talk about okay like
00:09:51
local models have now far surpassed like
00:09:53
you know all all like uh you know close
00:09:55
Source models but we we'll see
00:09:56
ultimately what ends up happening oh you
00:09:58
also predicted one my questions on my
00:10:00
list so you know we've seen a massive R
00:10:02
of Open Source especially in the last
00:10:04
like two to three months um AI images
00:10:06
have caught up and maybe even surpassed
00:10:08
closed models right um open source has
00:10:12
gotten a massive win with Lama 3.1 405
00:10:14
billion is on par with the top closed
00:10:16
models like do you think oh there is a
00:10:18
going to be a day where the best model
00:10:20
is completely open source I think that's
00:10:23
the like dream of meta and I think
00:10:24
mistol and a few of these other
00:10:25
companies are really trying to to make
00:10:27
that happen I think that it's possible I
00:10:30
think that we're also going to see a
00:10:32
Nexus point where it's like a race down
00:10:34
to the bottom in terms of cost so I
00:10:36
think like we're seeing that right now I
00:10:37
think that there's going to be a certain
00:10:39
level where these models are so good
00:10:41
that we don't need really much more
00:10:42
incremental um improvements so we'll see
00:10:46
over the coming months I think that
00:10:48
you'll have a world where like local
00:10:49
models are good enough um I don't know
00:10:52
if they're going to be the best quite
00:10:53
yet um but one thing I am extremely
00:10:56
bullish on and we might have t chatt
00:10:58
about it previously on or offline can't
00:11:00
remember but I'm very bullish on small
00:11:01
models like extremely I think like the
00:11:03
future is in very small like action
00:11:06
models even when you think about an
00:11:08
agent you don't need you know 400
00:11:10
billion parameters to go and conduct
00:11:12
some research on the web and scrape some
00:11:13
data um I think one of the big things
00:11:16
that's going to happen is you're going
00:11:16
to start seeing a lot of fine tuning and
00:11:18
that's one of the things we've been
00:11:19
working on AG Ops is like fine-tuning on
00:11:21
the outputs building much smaller models
00:11:23
or or fine tuning on the outputs of
00:11:25
basically Cutting Edge models and
00:11:26
fine-tuning open source models this is I
00:11:28
think going to be a big paradigm shift
00:11:30
because you're going to have cheaper
00:11:31
cost you might be able to do it locally
00:11:33
um there's going to be I think a lot of
00:11:36
work done in the space over the next
00:11:37
year because right now we're just saying
00:11:39
you know they're large language models
00:11:41
let's give them as many parameters as
00:11:42
possible let's try and like basically
00:11:44
you know put every like you know
00:11:45
increased context window as much as
00:11:47
possible um I think this is great on
00:11:49
very generalized use cases but from
00:11:50
everything we're seeing with like large
00:11:52
corporations and Enterprises the reality
00:11:54
that's you know I think what's going to
00:11:56
be most beneficial is actually could we
00:11:58
just get very niche done extremely
00:12:00
reliably we don't need to you know know
00:12:02
all about um ancient Rome you know to
00:12:04
you know conduct analysis on financial
00:12:06
documents yeah and I think U you know
00:12:08
for those who are watching who like kind
00:12:10
of thinking of
00:12:11
opportunities essentially every company
00:12:13
is going to need that right whether it
00:12:14
is uh language model fine-tuned or image
00:12:17
model fine-tuned they're going to need
00:12:18
something specifically made for them and
00:12:21
most companies don't know how to do it
00:12:23
so you know if you learn the skill and
00:12:25
if you have a bit of you know
00:12:26
inventiveness entrepreneurship this is a
00:12:28
pretty good opportunity in the next I
00:12:30
think year or so for sure like I think
00:12:32
you need I I love time people this but
00:12:34
like be the one at your company who
00:12:36
brings up this technology be the one who
00:12:38
people are like asking questions about I
00:12:40
have one guy he messages me it's
00:12:42
hilarious I do these threads like almost
00:12:44
every week about like what's the latest
00:12:45
and greatest in AI agents and I post
00:12:47
them on Twitter and or and Linkedin as
00:12:50
well and he takes these threads and then
00:12:52
goes and makes a PowerPoint deck and
00:12:54
presents it to his management team every
00:12:56
week now saying hey here's the cutting
00:12:58
and it's so funny to me like literally
00:13:00
like he's just he's taken my work I'm so
00:13:02
happy for it it's the best thing ever
00:13:04
I'm so happy he reached out by the way
00:13:06
and uh he's he's presenting this to his
00:13:08
team now and it's one of these aspects I
00:13:10
look at I'm like this is crazy like he's
00:13:13
now becoming like an AI leader at his
00:13:15
company by literally going onto Twitter
00:13:17
and looking at my thread making a small
00:13:19
deck about it and now he is you know by
00:13:22
far like the AI like agent guy in his
00:13:24
company that you know the Seau is coming
00:13:25
to him and asking him questions so it's
00:13:27
that simple like it doesn't be like it's
00:13:29
not rocket science by any means it's
00:13:31
it's a complete hack I mean just from my
00:13:33
experience right the fact that I'm in AI
00:13:36
it like I'm getting access to people who
00:13:38
are far ahead of me in business and in
00:13:40
life because they're interested in AI
00:13:42
right everybody wants to know at least a
00:13:44
bit how it's going to impact their
00:13:45
business you know how they can leverage
00:13:47
it and being in the right field the
00:13:49
field I mean I don't think there's a
00:13:50
betteri better field better industry
00:13:52
than AI obviously but you know just
00:13:54
being in AI brings so many opportunities
00:13:56
so I think everybody watching while you
00:13:59
you might you know don't want to have
00:14:00
Ambitions to be like a public figure you
00:14:02
should still become an AI guy in your
00:14:04
social CLE because that's going to
00:14:06
unlock so many doors that you can't even
00:14:08
predict if you're watching this video
00:14:10
you're already doing like the right step
00:14:11
that's the first thing it's like you're
00:14:12
already like light years ahead than a
00:14:14
lot of people I know and I think that
00:14:16
the reality is it's just like it's not
00:14:18
hard like it's just like listen to a few
00:14:20
you know podcasts listen to some videos
00:14:22
form your own opinion I think like
00:14:25
understand what tools are out there test
00:14:27
the tools like to me if I was and this
00:14:30
might be a hot take but it's okay it's
00:14:32
like if I was thinking about going and
00:14:33
doing like a masters in engineering or
00:14:34
if I was going to go do like a uh you
00:14:36
know some type of it related role I
00:14:39
would just go on YouTube for three
00:14:40
months lock myself in a room watch every
00:14:42
video on like AI possible and I I'm
00:14:44
almost for certain you will come out
00:14:46
here light years ahead than going and
00:14:47
doing like an IT certificate or a master
00:14:49
like master and Engineering might be a
00:14:50
bit different but I I'm saying like this
00:14:52
is such a massive WID like it's just
00:14:54
like there's so much content out there
00:14:56
there's so much knowledge out there like
00:14:58
I give away like 99% of everything I
00:15:00
know for free and like I'm just like I
00:15:02
see something cool I'll repost it I'll
00:15:03
share it I I'm happy to you know kind of
00:15:05
consolidate it so it's easy for people
00:15:06
to understand but the biggest factor is
00:15:09
like there's so much out there and even
00:15:11
like you know going and joining School
00:15:12
communities and finding like people who
00:15:14
are intelligent and are thinking about
00:15:16
in the same way or even like creating
00:15:17
group chats with you know on the cost
00:15:19
side it's not very high to to make these
00:15:21
like kind of think tanks uh for yourself
00:15:23
oh yeah for sure and I mean now is the
00:15:25
time really you know in the future when
00:15:27
like your Uber driver is talking about
00:15:28
it and everybody knows about it it's
00:15:30
going to be too late like now everybody
00:15:32
watching this really has the opportunity
00:15:33
to be kind of that AI Ford leader you
00:15:36
know whether it's in the region in their
00:15:37
company doesn't matter to what scale but
00:15:39
you know why not for anybody who's like
00:15:41
looking to learn more about like Ai and
00:15:43
AI agents and everything like that um if
00:15:45
you go to A.C our new website so agency
00:15:49
um you will go and click on like there's
00:15:52
a tab called agents you will find a list
00:15:54
of like 400 I think there's 450 agents
00:15:56
in total that we've tested so far and
00:15:59
it's totally free um I highly recommend
00:16:01
checking it out it's like the easiest
00:16:03
place maybe we can link it in maybe
00:16:04
we'll Link in the show notes as well but
00:16:06
this is like it's such lwh hanging fruit
00:16:07
for people it's like go explore it like
00:16:09
instead of like going uh you know one
00:16:11
day if it's raining outside or something
00:16:13
like that just like go like take that
00:16:15
list and just start clicking on a bunch
00:16:16
of the links and start looking at you
00:16:17
know what's working what's not what you
00:16:19
think is cool another thing I love to do
00:16:21
is go make an email account that is just
00:16:23
for like AI tools and go and subscribe
00:16:25
for all these players and what you'll
00:16:27
get is you like anytime you want a good
00:16:29
update on everything that's going on
00:16:30
just go and scroll through that inbox I
00:16:32
don't think you have to be an expert you
00:16:33
don't need to be an engineer you don't
00:16:34
need to have spent like 10 years in it
00:16:37
uh all you have to do is just kind of
00:16:38
lean in a bit test the stuff out and
00:16:40
kind of see see what works for you man
00:16:42
such a good advice this I love like
00:16:44
these practical tips you know that just
00:16:46
like have instant effect how are you
00:16:48
yourself learning about AI like we love
00:16:50
Twitter like I honestly my co-founder
00:16:52
Alex and I like in we we really just see
00:16:54
it as like kind of for whatever reason
00:16:56
in the AI space it's where we're seeing
00:16:57
the latest and greatest news
00:16:59
um I also do a lot of social listening
00:17:01
so I have agents that are out there on
00:17:02
the internet collecting data and then
00:17:04
giving me like report every day on like
00:17:05
what's going on what companies are
00:17:06
getting funded um and if anybody's
00:17:08
interested like I maybe I'll be able to
00:17:10
like kind of share this agent with you
00:17:12
yeah that would be a good video actually
00:17:13
yeah we can we can do we'll chat about
00:17:15
that offline but uh okay I think from my
00:17:17
perspective it's really really
00:17:18
interesting that leverage like the tools
00:17:21
to figure out the latest and greatest
00:17:22
but also you got to just be in the right
00:17:23
circles so following certain people will
00:17:26
basically guarantee you're getting the
00:17:27
latest and greatest news but at the end
00:17:29
of the day there's certain people who
00:17:30
are like you know like yourself um we're
00:17:32
trying to do a lot of like kind of this
00:17:33
thought leadership as well and it's just
00:17:35
a matter of kind of seeing everything
00:17:37
making it really easy for people to
00:17:38
understand if you're not like a big
00:17:40
Twitter user you don't need to like post
00:17:43
I think that's one thing a lot of people
00:17:44
are scared of doing like you don't need
00:17:46
to actively be posting all you have to
00:17:47
do is just create your own you know uh
00:17:50
account with whatever name on it follow
00:17:51
a couple of the top people and from
00:17:54
there your feed will start getting
00:17:55
populated with all the right content
00:17:57
maybe it is the move to create a
00:17:58
separate account because because it is
00:17:59
so easy to waste time on Twitter because
00:18:03
curate curating your feed is so hard
00:18:05
like constantly muting people like
00:18:06
muting words it it should have shouldn't
00:18:09
be that hard but you know everybody who
00:18:11
kind of is more active deals with this
00:18:13
problem of like I want interesting AI
00:18:15
stuff only right I mean I would pay for
00:18:17
that if I could just do that manually
00:18:19
instead of like trying to having to
00:18:21
update my muted word list constantly but
00:18:23
still like most of the tweets I see are
00:18:26
not like productive interesting AI stuff
00:18:28
I Me Maybe you can give me some tips
00:18:29
because you know so there's you can
00:18:31
create lists which is not a bad thing um
00:18:33
but from my perspective I think the best
00:18:35
thing is just following the right people
00:18:36
and then like looking through the
00:18:37
following like the For You tab or I
00:18:39
don't know exactly what it's called on
00:18:40
Twitter but like that is great I think
00:18:42
that's it's like really great um to find
00:18:45
content um but I think like like
00:18:47
following the right people is the most
00:18:49
critical piece um and that's kind of
00:18:50
what we recommend it's just like you can
00:18:53
really and you also the one thing is you
00:18:55
don't want to be an echo chamber you
00:18:56
don't want to only listen to it but
00:18:58
that's why I think get to have kind of
00:18:59
separate Twitter accounts that are like
00:19:00
okay here's my AI Twitter account and
00:19:02
then here when I want to have like
00:19:03
worldly polit political views and
00:19:05
understand everything else that's going
00:19:06
on in society here's my other account um
00:19:08
but I think like it is good to kind of
00:19:09
have that targeted here are like the
00:19:11
hundred people I follow that I trust
00:19:13
that are posting great content and
00:19:15
doesn't take a long time you just need
00:19:16
to go into these communities for a few
00:19:17
minutes every day but as long as you're
00:19:18
doing that repetition you're going to
00:19:19
learn stuff guaranteed for some people
00:19:21
it's not immediately obvious the return
00:19:23
on that learning but just to give people
00:19:24
something more tangible every company
00:19:27
will want to keep those who are on the
00:19:29
top right like on the top of new things
00:19:31
new stuff Cutting Edge as you said like
00:19:33
the guy who's making presentation for
00:19:34
his management team the CH the chances
00:19:36
of him getting fired are very low right
00:19:38
because like he's teaching others and
00:19:40
he's benefiting the company more than
00:19:42
he's being paid for which is always a
00:19:44
good strategy but especially with like
00:19:46
new technologies that AI you know if if
00:19:48
the company is going to make a layoffs
00:19:50
whatever you're probably going to be the
00:19:52
last person on the list because you know
00:19:54
you're the AI guy like they don't want
00:19:55
to lose you like you always bring the
00:19:57
good stuff so you know everybody who's
00:19:59
watching this who has a job if you learn
00:20:01
Ai and if you you know teach your bosses
00:20:03
and the higher up you go the better
00:20:04
obviously like you you future prove
00:20:06
yourself and you the chances of you
00:20:08
keeping that job or maybe even getting
00:20:10
promoted are much higher for sure so I
00:20:13
highly recommend like testing things out
00:20:15
seeing like like this is my one
00:20:17
recommendation like I think you like
00:20:18
these like kind of acual bits I have
00:20:20
right here is like my notebook and
00:20:22
basically every day as I'm going through
00:20:24
my workday I literally just write down
00:20:26
things that I think can be automated
00:20:28
okay so I have like literally like pages
00:20:30
of like hey I did this workflow I think
00:20:32
I can automate this what I do is I use
00:20:34
this as now like a brain for me to think
00:20:36
about when I'm looking at different
00:20:38
tools can I use that tool to automate
00:20:40
this process and it's such an easy thing
00:20:42
for anyone to do it doesn't cost
00:20:44
anything um and I really recommend like
00:20:46
people like leaning in a bit there
00:20:48
because it will like at least now you
00:20:50
have a reference point when you're
00:20:51
looking at tools and looking at the
00:20:52
latest and greatest stuff of what's
00:20:54
possible and what what you actually can
00:20:55
start kind of automating okay so on that
00:20:57
note like what would you say are some of
00:20:59
the like most obvious like painfully
00:21:01
obvious things you see other people do
00:21:03
that could be like automated so easily
00:21:05
research I think is the number one like
00:21:07
I I have friends and and I love them
00:21:09
they're my good friends if you're
00:21:10
watching this but like they I have
00:21:12
friends who are like Financial research
00:21:13
and equity research and I think it's
00:21:15
great it's a really really cool job um
00:21:17
but it's one of these things that is
00:21:19
100% becoming automated it's you know a
00:21:21
computer or an agent or what whatever
00:21:23
you want to call a piece of software is
00:21:26
going to be able to research more than
00:21:27
you can cons this the information better
00:21:29
now with it referencing so like a lot of
00:21:32
the work over the past couple months has
00:21:33
been like how do we actually Source
00:21:34
where this data is coming from
00:21:35
accurately the second you hit off all
00:21:37
these criteria of like you know being
00:21:40
accurate being fast being able to
00:21:42
consume more data you you can't even
00:21:45
compete in that space um same thing with
00:21:47
like the you know the agent I was
00:21:48
talking about for uh researching people
00:21:50
I'm meeting with you are setting
00:21:52
yourself back by not leaning in and
00:21:53
using this technology and it's like it's
00:21:56
so obvious to me that like these are
00:21:58
better than it's not even like human
00:22:00
can't do these jobs it's just like
00:22:02
there's no reason a human should be so
00:22:03
if my assistant had to spend four hours
00:22:05
a day working on this that's four hours
00:22:07
she would be able to be helping with a
00:22:08
bunch of other things that that she has
00:22:10
on her agenda so I'm very big on like
00:22:13
figure it out I think like trying figure
00:22:14
out what aspects are the most
00:22:16
automatable in your life um and then
00:22:18
kind of you know work backwards from
00:22:19
there when it goes into the digital
00:22:21
realm people have these weird feelings
00:22:24
right but you can take examples with
00:22:27
animals like you know horses are much
00:22:29
better at certain things than people or
00:22:30
there's like some breed of pigs that can
00:22:32
smell like some specific potatoes yeah
00:22:36
yeah 10t underground and like no same
00:22:39
person would try to compete with those
00:22:40
pigs but for some reason when it's like
00:22:42
AI agent it's like whoa whoa whoa no
00:22:45
like that's my identity like I was doing
00:22:47
that task like I think you might just
00:22:48
gave me a tweet for today I like that I
00:22:50
I never really thought about it from
00:22:52
like the animal perspective but you're
00:22:53
100% right you know humans should be
00:22:55
focused on human tasks like I you know
00:22:58
one of the I say it's like right on my
00:22:59
LinkedIn it's like don't worry your job
00:23:01
is safe because the reality is it's like
00:23:03
there are inherently human parts of
00:23:05
every role and I think the biggest thing
00:23:07
you know if you're testing this
00:23:09
technology is lean in and try and figure
00:23:10
out which parts of these tasks are the
00:23:12
most human and that's a that's the
00:23:14
biggest when you can be making this is
00:23:15
something that I think most people in
00:23:18
the as space probably don't agree upon
00:23:20
at least I don't see it being talked
00:23:21
about but my theory is that at least in
00:23:23
the next 5 to 10 years before you know
00:23:25
some major improvements to the LM
00:23:27
architecture made
00:23:29
the by far winner combo is going to be
00:23:32
like human does the creative and like
00:23:34
you know directional stuff while llms do
00:23:37
the repetitive and you know llm stuff
00:23:39
good task but right now people always
00:23:41
think like okay there's like two
00:23:43
extremes right llms have stopped they're
00:23:45
not going to improve blah blah blah and
00:23:47
then it's like you know oh AGI ASI super
00:23:49
intelligence is coming in six months
00:23:51
right like we have we all saw these
00:23:52
videos at the start of the year and now
00:23:54
it's like six months later and like
00:23:55
where's where is the AGI where's the ASI
00:23:57
right so I think the actual reality for
00:24:00
the next 5 years is going to be that
00:24:02
humans do the things that LMS cannot do
00:24:04
like reasoning like creativity the stuff
00:24:06
that LM suck at and then just llms do
00:24:09
everything else and people who Embrace
00:24:11
this new way of working will just Crush
00:24:13
everybody else I couldn't G more there's
00:24:15
one company that we're good friends with
00:24:17
so payman I don't know if you've seen
00:24:18
them um you should get so tyin from
00:24:21
payman he's awesome he's built like an
00:24:24
agent that can pay humans to do tasks
00:24:26
that the agent can't complete so is like
00:24:28
happening like so like think about a u
00:24:31
let's give an example of like like
00:24:33
writing a blog post or liking a tweet or
00:24:36
retweeting something you can literally
00:24:38
the agent could say hey we want to
00:24:39
create uh marketing Buzz for this new
00:24:42
blog post and it will go and say for
00:24:44
every human that likes it will pay them
00:24:46
50 cents for every person who retweets
00:24:47
it will pay them a dollar and it will
00:24:49
verify that the human's done it it'll go
00:24:51
through the whole Loop and then it will
00:24:53
go back and pay the human and this is
00:24:54
the type of thing where like it's
00:24:55
happening like this is like obviously
00:24:57
they're on the cutting Edge I think it's
00:24:58
an awesome company we're we we're very
00:25:00
bullish on them working on some really
00:25:02
cool stuff together um but it's like
00:25:04
this is going to happen inherently these
00:25:06
agents are they have limitations like
00:25:08
you'd be maybe I don't know you could
00:25:09
talk to other people who might say
00:25:10
they're you know are infinite and can do
00:25:12
anything but we don't have AGI yet so
00:25:14
right now like there are limitations
00:25:16
with these things um I think it's really
00:25:18
really cool to see that people are
00:25:19
thinking about okay how do we actually
00:25:20
leverage like keep humans in a loop in a
00:25:22
necessary way like I think that's a huge
00:25:24
huge huge win yeah and I think once the
00:25:27
llms um actually learn you know what
00:25:30
llms are good at and I mean maybe you
00:25:32
can do it with a system prompt but you
00:25:33
know like basically we need the agents
00:25:35
to have like a deep understanding of
00:25:37
these are the type of tasks agents are
00:25:39
great at don't bother human these are
00:25:41
the tasks that agents suck at you know
00:25:43
pink the human as you said proactively
00:25:45
and like I'm stuck here can you help me
00:25:47
out and then the human like unstuck the
00:25:49
agent and I mean it will really be what
00:25:51
you just said right all of us even the
00:25:53
people who don't have companies will be
00:25:56
basically CEOs or managers of large
00:25:58
teams of agents and you know you will
00:26:00
just be overseeing different operations
00:26:02
and I think that's like really
00:26:03
empowering Vision dve we we'll send I'll
00:26:05
send you a bunch of links to kind of put
00:26:06
down below so we can get everybody up to
00:26:08
speed as quickly as possible um and
00:26:11
besides that yeah it's really really
00:26:12
great getting to chat don't let the AI
00:26:14
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