"I tested 400 AI Agents, these are the best" - Adam Silverman

Summary

In this insightful podcast, Adam Silverman, founder of Agency, discusses the transformative impact of AI agents on various industries. With over 400 agents tested, Silverman highlights their efficiency in sales, research, and data enrichment. He emphasizes the potential of tools like Claude, Lutra AI, and Omni, and shares his vision for a future where AI seamlessly integrates with human tasks, enhancing productivity. The conversation also touches on the importance of staying updated with AI advancements for personal and professional growth, and the opportunities presented by fine-tuning AI models for specific tasks.

Takeaways

• 🧑‍💼 The speaker emphasizes the utility of AI agents in performing tasks overnight and while the user sleeps, highlighting the potential for increased productivity and efficiency in business operations.
• 🔍 The testing of over 400 AI agents has been conducted, with at least 50 actively working for the speaker's company, showcasing the extensive exploration of AI capabilities in various tasks.
• 🚀 The announcement of a $2.6 million fundraising under the name 'Agencies' indicates a significant investment in the development and integration of AI agents in business processes.
• 🛠️ The speaker discusses the importance of integrating AI agents with various platforms and the potential for building complex, custom solutions for Fortune 500 companies.
• 💼 The concept of 'agent teams' on different platforms for various tasks is introduced, suggesting a strategy for leveraging specialized AI tools across different business functions.
• 💡 The introduction of 'Mindy', an AI agent that provides detailed briefings on meeting attendees, illustrates the practical applications of AI in enhancing preparation and efficiency in professional interactions.
• 📈 The speaker predicts a future where AI agents become proactive, taking initiative in tasks without needing human direction, indicating a significant shift in AI capabilities.
• 🔒 Concerns about data privacy and security with AI agents are acknowledged, with a discussion on the potential for local AI models to address these issues.
• 🌐 The potential for open-source AI models to surpass closed models in performance and cost-effectiveness is considered, suggesting a shift in the AI industry landscape.
• 📚 The speaker recommends actively learning about AI and staying updated with the latest developments, positioning oneself as an 'AI expert' within one's social or professional circle to unlock opportunities.
• 🔑 The importance of identifying and automating repetitive and mundane tasks with AI is stressed, advocating for a proactive approach to embracing AI to enhance personal and professional productivity.

Q & A

What is the significance of testing over 400 AI agents as mentioned in the script?

The significance lies in the extensive evaluation of AI capabilities across various tasks, ensuring that the best agents are selected for different use cases, ultimately improving efficiency and productivity.

How does the speaker describe their experience with AI agents working overnight?

The speaker describes it as a highly efficient experience where they can go to bed with agents working and wake up to find the agents have already been working all night, demonstrating the 24/7 operational capability of AI agents.

What is the role of 'Omni' in the context of AI sales agents mentioned in the script?

'Omni' is an AI sales agent tool that excels in data enrichment and prospecting, helping to identify and gather information on potential sales leads effectively.

Can you explain the 'God Mode' tool and its capabilities as highlighted in the script?

'God Mode' is an AI tool that the speaker finds incredibly useful. It can perform tasks such as finding every Fortune 500 CTO, enriching their data, and even building out full email sequences, all within its app.

What is the purpose of the 'Claude' tool that the speaker is obsessed with?

The 'Claude' tool is used for a variety of workflows and is favored by the speaker for its versatility and effectiveness in handling multiple tasks, showcasing its utility in day-to-day operations.

What does the speaker announce regarding the funding and the future of their company?

The speaker announces a successful fundraising round of over $2.6 million under the name 'agencies' (A.C). The funding will be used to help companies get their AI agents into production, indicating a pivot towards providing pre-built agents and custom solutions as needed.

What is the role of 'Mindy' in the speaker's daily routine?

'Mindy' is an AI agent that analyzes the speaker's calendar and provides detailed reports on everyone they are meeting with, offering valuable data points and insights to prepare for meetings effectively.

How does the speaker view the future of AI in terms of handling repetitive tasks?

The speaker believes AI is best suited for repetitive and less creative tasks, freeing up humans to focus on more enjoyable and creative work, thus enhancing overall productivity and job satisfaction.

What is the potential impact of AI agents on human jobs according to the speaker?

The speaker suggests that AI agents will not replace human jobs but rather transform them. By handling the more mundane and repetitive aspects of work, AI agents will allow humans to focus on tasks that require creativity and reasoning, which are inherently human skills.

What is the speaker's view on the importance of being an 'AI guy' or leader in one's company?

The speaker believes that becoming an AI leader or expert within a company is a strategic move that can future-proof one's job. It positions the individual as a valuable asset, especially in times of change or uncertainty, and can lead to promotions and increased job security.

How does the speaker suggest one should stay updated with the latest in AI?

The speaker recommends following top people in the AI field on Twitter, subscribing to AI tool updates, and joining communities to stay informed. They also suggest creating a separate account for AI-related content to avoid information overload and maintain focus.

Outlines

00:00

🤖 AI Agents in Business Automation

The speaker discusses the extensive testing of over 400 AI agents, emphasizing the efficiency gains from having multiple agents work autonomously around the clock. They highlight the potential of AI in various sectors, particularly in sales and research tools, mentioning specific agents like Omni for data enrichment and God mode for comprehensive data gathering and email sequences. The conversation includes the founder of Agency, Adam Silverman, who shares insights on AI agent use cases and announces a significant funding round for his company, indicating a strong belief in the future of AI agents in business processes.

05:01

🚀 Advancing AI Assistants and Productivity Tools

The script delves into the use of AI assistants to enhance productivity, with a focus on tools like notaker apps that facilitate meaningful engagement during meetings by handling note-taking. The speaker expresses anticipation for a future where AI assistants have a comprehensive understanding of users' goals and work habits, offering real-time assistance and accountability. They also touch on the importance of privacy and data security, discussing the trade-offs between local AI models and cloud-based services, and the potential for AI to transform how individuals and companies operate.

10:02

🌐 Open Source AI and the Future of Automation

This paragraph explores the rapid advancement of open-source AI models, which have begun to rival or even surpass closed models in terms of performance. The speaker speculates on the possibility of an open-source model becoming the best in the market, driven by companies like Meta. They also predict a future where AI models become so advanced that incremental improvements plateau, leading to a focus on fine-tuning and smaller, more specialized models. The potential for AI to become a standard tool for businesses, requiring specialized fine-tuning for specific tasks, is highlighted as a significant opportunity.

15:04

📈 Becoming an AI Leader in Your Industry

The speaker encourages individuals to become AI leaders within their respective fields by staying updated on the latest AI developments and integrating AI tools into their workflows. They share practical tips for learning about AI, such as following key influencers on Twitter, subscribing to AI tool updates, and creating dedicated email accounts for AI-related communications. The importance of being proactive in adopting AI to secure one's position in a company and to stay relevant in the job market is underscored.

20:05

🔍 Identifying Opportunities for AI Automation

The paragraph discusses the importance of identifying tasks that can be automated using AI, starting with the creation of a list of potential automation opportunities. The speaker advocates for a proactive approach to finding and implementing AI solutions, particularly in areas like financial and equity research, where AI can outperform human capabilities. They argue that embracing AI will enable individuals to focus on the most human aspects of their roles, such as creativity and reasoning, while AI handles the repetitive tasks.

25:06

🛠 The Integration of Humans and AI in Task Completion

The final paragraph examines the limitations of current AI agents and the innovative approaches being taken to integrate human input when agents encounter tasks they cannot complete. Examples include agents that can pay humans to perform tasks or verify human actions, highlighting a future where AI and humans collaborate effectively. The speaker envisions a future where individuals manage large teams of AI agents, overseeing operations and leveraging AI to its fullest potential.

Keywords

💡AI agents

AI agents refer to artificial intelligence systems designed to perform tasks autonomously or with minimal human intervention. In the video, the theme revolves around leveraging AI agents for various applications, such as sales, research, and data enrichment. The script discusses testing over 400 AI agents and their potential to transform industries by automating repetitive and data-intensive tasks.

💡Data enrichment

Data enrichment is the process of enhancing data sets with additional information to improve their quality and usefulness. In the context of the video, it is mentioned as a capability of AI agents, such as Omni, which can enrich data for prospecting by finding detailed information like LinkedIn profiles and emails of Fortune 500 CTOs.

💡Sales tools

Sales tools in the script refer to AI-powered applications designed to assist in the sales process. These tools can automate tasks such as lead generation, customer relationship management, and sales analytics. The video emphasizes the effectiveness of certain AI sales agents in generating revenue and improving sales efficiency.

💡Research tools

Research tools mentioned in the script are AI-driven systems that facilitate the collection, analysis, and synthesis of information. These tools can be used for financial research or to gather data on individuals before meetings, providing a competitive edge by streamlining the research process and reducing the time spent on manual tasks.

💡Automation

Automation is the use of technology to perform tasks with minimal human effort. The video script highlights the potential of AI agents to automate a wide range of tasks, freeing up time for more creative and strategic work. It encourages viewers to identify automatable tasks in their workflows to increase productivity.

💡Productivity

Productivity in the video is discussed in the context of enhancing human potential through the use of AI agents. It is suggested that AI can help individuals and companies become more efficient by taking over time-consuming and repetitive tasks, allowing people to focus on higher-level activities that require human creativity and reasoning.

💡Fine-tuning

Fine-tuning in the AI context refers to the process of adapting a pre-trained model to a specific task or dataset. The script mentions the importance of fine-tuning in creating smaller, more specialized AI models that can perform niche tasks more reliably and cost-effectively than larger, more generalized models.

💡Open-source models

Open-source models are AI systems whose underlying code is publicly available, allowing anyone to modify and use the technology. The video discusses the advancements in open-source AI models, such as Lama 3.1, which have reached a level of performance comparable to proprietary models, indicating a potential shift in the AI industry towards more accessible and collaborative development.

💡Proactive agents

Proactive agents are AI systems that not only respond to user commands but also take initiative based on learned patterns or goals. The script envisions a future where AI agents become proactive, anticipating user needs and suggesting actions without being explicitly instructed, which represents a significant leap from current reactive AI capabilities.

💡Local models

Local models refer to AI systems that operate on an individual's device or within a private network, rather than relying on cloud-based services. The script discusses the growing interest in local models due to privacy concerns and the desire to keep data within the user's control, despite potential limitations in processing power and model sophistication.

💡HIPPA compliance

HIPPA, the Health Insurance Portability and Accountability Act, sets standards for protecting the privacy and security of health information. In the script, it is mentioned that the company has become HIPPA compliant, indicating that they adhere to strict regulations for handling sensitive healthcare data, which is crucial when dealing with AI in the healthcare industry.

Highlights

Over 400 AI agents have been tested for various tasks, with at least 50 actively working to enhance productivity.

The founder of Agency, Adam Silverman, discusses the practical use of AI agents in businesses and their potential for revenue generation.

Sales and research are identified as common verticals where AI agents are performing exceptionally well.

Omni and God Mode are highlighted as powerful sales tools for data enrichment and prospecting.

Claude and Lutra AI are mentioned as favorites for workflow automation and their effectiveness in handling specific tasks.

A massive fundraise of over $2.6 million is announced for AGOS, formerly known as agencies, to support agent deployment in companies.

Integrations with key players like Crei, Autogen, and others are teased, indicating a move towards more complex, pre-built agents for enterprise use.

The importance of custom solutions when off-the-shelf agents do not meet specific business needs is emphasized.

Mindy, an AI tool, provides comprehensive briefings for meetings by analyzing calendars and offering detailed reports on meeting participants.

The potential of AI in taking over repetitive tasks, allowing humans to focus on more creative and engaging work, is discussed.

AI note-taking apps like Fathom are praised for their ability to make meetings more meaningful and reduce the need for manual note-taking.

The anticipation of a complete AI assistant that understands goals, weaknesses, and provides real-time reminders is shared.

Concerns about data privacy and the desire for local AI models due to security questions are addressed.

The role of AI in the healthcare industry and the importance of HIPAA compliance for AI tools are mentioned.

Open-source AI models like Lama 3.1 and 405 billion parameters models are gaining popularity and are on par with top closed models.

The future of AI is predicted to involve smaller, finely-tuned models that can perform niche tasks more reliably and at a lower cost.

Becoming an 'AI guy' or leader in your company or social circle can provide significant opportunities and job security.

Practical advice for learning about AI includes following top experts on Twitter, subscribing to AI tool newsletters, and joining communities.

The transcript concludes with an invitation to join the New Society for a personalized plan to start an AI business, even for beginners.

Transcripts

we've been in the weeds testing over 400

agents I go to bed and I have agents

doing work for me I wake up in the

morning my agents have been already

working all night we have probably at

least 50 agents working for us I go into

all these agents testing them with very

similar problems that I I think there's

450 agents in total that we've tested so

far there's some actually cool ones off

the shelf that I think people can use

this is a podcast with Adam Silverman

the founder of agency we talk about

which AI agents everyone should use how

companies are making millions with

agents and how you can go from beginner

to expert all right so Adam what are

some of the most common use cases for AI

agents you see I think there are some

agents that are working really well

across like every vertical so sales for

example there's some really incredible

sales tools some really incredible

research tools out there can you talk

about the sales agents more because the

closer it is to generating money the

more people are interested there are so

many sales agents out there there's Omni

aomni it's incredible for doing like

data enrichment for prospecting then we

have another one called God mode it is

so incredible I can literally go in have

have you tried God mode no but I have to

okay you have to I'll get you on the

beta but really awesome tool I I was

actually using yesterday I can go in and

say find me every Fortune 500 CTO find

me their LinkedIn their email do full

data enrichment on it and you can build

Out full email sequences all within

their app what is like your new one of

the new tools that's your favorite I'm

still like obsessed with Claude I've

been using it every day I'm still very

bullish on lutra AI so I'm using that

for a lot of workflows I go into all

these agents testing them with very

similar problems that I have and then I

find certain agents are really really

incredible at certain tasks I have these

kind of like little agent teams on every

platform um that I used for different

things speaking of Agents you have

massive announcement to make right yeah

so uh some awesome news work sites

announced our fund raise of over $2.6

million under the name agencies so

A.C we've been in the weeds testing over

400 agents and we're really really

excited to announce this fundraise to

really help companies make sure they can

get their agents into production so if I

understand correctly agob is going to be

you know one of the tools and agency is

going to be more like holding company

yeah it's it's really exciting so we

have like a bunch of announcements

coming up so we still have Integrations

directly with crei with autogen um we

still integrate with laying chain llama

index mulon all these uh players

directly through aops but now we also

have the ability to go out and build

really really complex agents that

basically any Fortune 500 company can

start using Day Zero oh so you want to

like pivot more towards like pre-built

agents like there are going to be some

agents off the shelf that we offer

companies are coming to us with the

craziest agent IDE as possible like

truly like full n10 workflows that even

a human team couldn't physically do but

if custom Solutions are required we're

very happy to to figure out how to

basically leverage our our expertise our

knowledge our team of incredible

engineers and go and build out these

amazing solutions for them how big is

your team right now so uh it depends if

you count all the agents good answer

good answer yeah I know because honestly

I think we have probably I'm thinking

like at least 50 agents working for us

and uh like I go to bed and I have

agents doing work for me I wake up in

the morning my agents have been already

working all night there's some actually

cool ones off the shelf that I think

people can use most of you are waiting

you're waiting for the right opportunity

the right business idea the right time

but if you keep on waiting you're going

to miss the a Evolution me and my team

have spent hundreds of hours testing

different ways to make money with AI and

I believe we found the best one in the

new Society we help you go from zero to

$1,000 a month with AI I even give you

the AI agent I've built so you can make

money with it all you have to do is

follow our system for getting client

that's it so if you have good work ethic

and want to make money with AI make sure

to join it's the first link in the

description there's one called Mindy

what it does is it looks at your

calendar and then it gives you a full

like almost report on everybody you're

meeting with and before I go into a

meeting it gives me basically every data

point I could ever imagine about a

person this is really helpful imagine if

it took me let's just say 30 minutes or

my assistant 30 minutes to go research

everybody meeting within a day and i'

meetings in a day yeah that would be

that would be four hours of time and now

this is something that before I even

wake up in the morning the first message

I look at in the morning is here all the

meetings you have here's you know quick

fact on everybody here's their LinkedIn

here's maybe the most recent news

article they're mentioned in here's some

data on them that you know could make

the conversation exciting and this is

just like this is off the shelf like

this is not like crazy stuff by any

means and the fact that this is only

going to get better with better llms and

like you know it's just like it's crazy

for people who are running lots of

meetings like this is and again it's

it's not like um you know this is this

is the boring part of the work right

like researching stuff like you know

looking people always think that um AI

agents will take jobs but it's more like

you know the the repetitive boring task

so you can do more of the fun stuff more

of the creative stuff oh for sure like

it sounds kind of crazy but I think the

president gets these types of briefings

and I almost have that every day and it

really it's like it's fundamentally

leveling up how I am I think like

another you know very easy example

anybody can start using today is like

one of these notaker apps that you know

exist in your calls so like you use like

fathom and there's a whole bunch of

different ones out there and it makes my

followup so much more meaningful it

makes me you know really engaged in the

meeting because I'm not worrying about

taking notes and I think this is the

type of thing where it's so easy to set

up like as long as your company allows

you to use them and long as long as like

you have permission from people to

record it's such a massive win I cannot

wait for the day when we have like a

complete agent assistant that just you

know has access to your computer knows

your goals knows what you should be

working on knows like your weaknesses

like where you tend to waste time right

and just like holds you accountable

gives you real time reminders maybe

we've like connected to like Apple watch

or some other variable or maybe like you

know AI glasses I think this is coming

relatively soon and I think this is

going to unlock so much like human

potential right people always like don't

like the word productivity right because

you know people outside of business they

just feel like it's a corporate term but

just like human potential just imagine

like how much you know stuff goes to

waste purely because people waste time

you know everybody can write a plan in

the morning but sticking to it is much

harder right so so I think these AI

tools will just make that much more

doable and I mean yeah as somebody who

likes to be productive instead of

wasting time I just cannot wait for that

100% like the folks that induced are

doing this I I've seen like some

incredible work on their side um there's

a few other companies I'm really bullish

on the work of open interpreter so

there's a guy Mike bird from there he's

doing amazing work and kilan they're all

doing amazing amazing work there um and

truly like I made a tweet about this a

while ago but what I want is basically

everything I ever do in my life to be

fully recorded and I want to basically

almost have like a coach saying hey Adam

don't worry I'll take this off your

plate you don't need to send that email

or that newsletter you were going to

send out I you know let me get the

structure for you you can just review it

and I think the the big aspect we're

going to see with agents and I think

like you know maybe going a bit a year

or two down the road and this is what

I'm bullish on is that you're gonna go

from being reactive where it's like a

human asking to do something to

proactive and that's going to be the

biggest shift possible so I think right

now everyone's battling and like one of

the reasons like we're really like

seeing a lot of success with AGS is

because everyone's battling with

reliability so right now like the fact

is even on the pro or sorry on the

reactive front um it's it's still very

important to make sure that this agent

can do the task correctly but do you

think it has to be like local or

something like encrypted because you

know if it's recording everything

there's like big security questions

there yeah I think the folks at

Limitless AI have been working on this

quite a bit um if they're listening to

this like we we're always happy to chat

I am very bullish on what their team's

working on um but I think that there

will be you know maybe it's an Azure

offering or maybe a gcp offering or an

AWS offering where okay we now know that

everything is being recorded it's you

know by the user at big companies

everything's already being recorded if

you work at one of these big

organizations you know every keystroke

you make every you know uh every website

you visit everything's already being

recorded so it's not that crazy I think

whether or not the organization wants to

give the power back to the user to

leverage that that's another question

and also just like in the physical world

like if you go into any big city whether

it's SF new York Dubai there's cameras

everywhere right so I think the like

privacy is becoming more of an illusion

maybe like if you move into the forest

or whatever but uh I think the what what

people really have trouble with is

having the AI companies like access to

the data right I mean obviously if you

work for some company it's kind of

understood that the company you know you

probably have a work laptop and you

cannot access certain websites but if

you're an entrepreneur or like you know

in a spare time people a lot of people

don't want open AI to have their data

right or anthropic what ever they they

are really like afraid of um not

necessarily like somebody knowing what

they're doing but you know be having

that trained on in the future and they

just want to like that Assurance I mean

that's why the interest in local agent

is so big even though like most of the

times it's just like the difference is

so like the locally run stuff is just so

bad and especially most people don't

have like the topof thee line MacBooks

so they can only run run like 8 billion

models and you know the difference

between 8 billion models or like CLA son

or gb40 is just massive right so it

doesn't even make sense logically to

want that but still the demand is huge

because of you know people want that

feeling that you know open AI or

whatever isn't taking their data for

sure and like we so aov just became

hypoc compliant and so now we're talking

to like a lot of these Healthcare

companies and what we're realizing is

there are certain industries that I

think will be ryant on local model it's

a lot easier to get a CTO and a CIO to

buy into let's run this locally then

even if every vendor along the entire

spectrum is hippoc compliant and

everything like that it could still be

like you know they don't want these

infractions to say the least they do not

want to have any issues they don't want

to like you know have any risk but I I

still think there's actually opportunity

for like the most Cutting Edge companies

in the world to leverage the best models

and still probably remain competitive in

the long run so we'll kind of see how

this plays over the next six months and

we're going to do another episode I I

know eventually and talk about okay like

local models have now far surpassed like

you know all all like uh you know close

Source models but we we'll see

ultimately what ends up happening oh you

also predicted one my questions on my

list so you know we've seen a massive R

of Open Source especially in the last

like two to three months um AI images

have caught up and maybe even surpassed

closed models right um open source has

gotten a massive win with Lama 3.1 405

billion is on par with the top closed

models like do you think oh there is a

going to be a day where the best model

is completely open source I think that's

the like dream of meta and I think

mistol and a few of these other

companies are really trying to to make

that happen I think that it's possible I

think that we're also going to see a

Nexus point where it's like a race down

to the bottom in terms of cost so I

think like we're seeing that right now I

think that there's going to be a certain

level where these models are so good

that we don't need really much more

incremental um improvements so we'll see

over the coming months I think that

you'll have a world where like local

models are good enough um I don't know

if they're going to be the best quite

yet um but one thing I am extremely

bullish on and we might have t chatt

about it previously on or offline can't

remember but I'm very bullish on small

models like extremely I think like the

future is in very small like action

models even when you think about an

agent you don't need you know 400

billion parameters to go and conduct

some research on the web and scrape some

data um I think one of the big things

that's going to happen is you're going

to start seeing a lot of fine tuning and

that's one of the things we've been

working on AG Ops is like fine-tuning on

the outputs building much smaller models

or or fine tuning on the outputs of

basically Cutting Edge models and

fine-tuning open source models this is I

think going to be a big paradigm shift

because you're going to have cheaper

cost you might be able to do it locally

um there's going to be I think a lot of

work done in the space over the next

year because right now we're just saying

you know they're large language models

let's give them as many parameters as

possible let's try and like basically

you know put every like you know

increased context window as much as

possible um I think this is great on

very generalized use cases but from

everything we're seeing with like large

corporations and Enterprises the reality

that's you know I think what's going to

be most beneficial is actually could we

just get very niche done extremely

reliably we don't need to you know know

all about um ancient Rome you know to

you know conduct analysis on financial

documents yeah and I think U you know

for those who are watching who like kind

of thinking of

opportunities essentially every company

is going to need that right whether it

is uh language model fine-tuned or image

model fine-tuned they're going to need

something specifically made for them and

most companies don't know how to do it

so you know if you learn the skill and

if you have a bit of you know

inventiveness entrepreneurship this is a

pretty good opportunity in the next I

think year or so for sure like I think

you need I I love time people this but

like be the one at your company who

brings up this technology be the one who

people are like asking questions about I

have one guy he messages me it's

hilarious I do these threads like almost

every week about like what's the latest

and greatest in AI agents and I post

them on Twitter and or and Linkedin as

well and he takes these threads and then

goes and makes a PowerPoint deck and

presents it to his management team every

week now saying hey here's the cutting

and it's so funny to me like literally

like he's just he's taken my work I'm so

happy for it it's the best thing ever

I'm so happy he reached out by the way

and uh he's he's presenting this to his

team now and it's one of these aspects I

look at I'm like this is crazy like he's

now becoming like an AI leader at his

company by literally going onto Twitter

and looking at my thread making a small

deck about it and now he is you know by

far like the AI like agent guy in his

company that you know the Seau is coming

to him and asking him questions so it's

that simple like it doesn't be like it's

not rocket science by any means it's

it's a complete hack I mean just from my

experience right the fact that I'm in AI

it like I'm getting access to people who

are far ahead of me in business and in

life because they're interested in AI

right everybody wants to know at least a

bit how it's going to impact their

business you know how they can leverage

it and being in the right field the

field I mean I don't think there's a

betteri better field better industry

than AI obviously but you know just

being in AI brings so many opportunities

so I think everybody watching while you

you might you know don't want to have

Ambitions to be like a public figure you

should still become an AI guy in your

social CLE because that's going to

unlock so many doors that you can't even

predict if you're watching this video

you're already doing like the right step

that's the first thing it's like you're

already like light years ahead than a

lot of people I know and I think that

the reality is it's just like it's not

hard like it's just like listen to a few

you know podcasts listen to some videos

form your own opinion I think like

understand what tools are out there test

the tools like to me if I was and this

might be a hot take but it's okay it's

like if I was thinking about going and

doing like a masters in engineering or

if I was going to go do like a uh you

know some type of it related role I

would just go on YouTube for three

months lock myself in a room watch every

video on like AI possible and I I'm

almost for certain you will come out

here light years ahead than going and

doing like an IT certificate or a master

like master and Engineering might be a

bit different but I I'm saying like this

is such a massive WID like it's just

like there's so much content out there

there's so much knowledge out there like

I give away like 99% of everything I

know for free and like I'm just like I

see something cool I'll repost it I'll

share it I I'm happy to you know kind of

consolidate it so it's easy for people

to understand but the biggest factor is

like there's so much out there and even

like you know going and joining School

communities and finding like people who

are intelligent and are thinking about

in the same way or even like creating

group chats with you know on the cost

side it's not very high to to make these

like kind of think tanks uh for yourself

oh yeah for sure and I mean now is the

time really you know in the future when

like your Uber driver is talking about

it and everybody knows about it it's

going to be too late like now everybody

watching this really has the opportunity

to be kind of that AI Ford leader you

know whether it's in the region in their

company doesn't matter to what scale but

you know why not for anybody who's like

looking to learn more about like Ai and

AI agents and everything like that um if

you go to A.C our new website so agency

um you will go and click on like there's

a tab called agents you will find a list

of like 400 I think there's 450 agents

in total that we've tested so far and

it's totally free um I highly recommend

checking it out it's like the easiest

place maybe we can link it in maybe

we'll Link in the show notes as well but

this is like it's such lwh hanging fruit

for people it's like go explore it like

instead of like going uh you know one

day if it's raining outside or something

like that just like go like take that

list and just start clicking on a bunch

of the links and start looking at you

know what's working what's not what you

think is cool another thing I love to do

is go make an email account that is just

for like AI tools and go and subscribe

for all these players and what you'll

get is you like anytime you want a good

update on everything that's going on

just go and scroll through that inbox I

don't think you have to be an expert you

don't need to be an engineer you don't

need to have spent like 10 years in it

uh all you have to do is just kind of

lean in a bit test the stuff out and

kind of see see what works for you man

such a good advice this I love like

these practical tips you know that just

like have instant effect how are you

yourself learning about AI like we love

Twitter like I honestly my co-founder

Alex and I like in we we really just see

it as like kind of for whatever reason

in the AI space it's where we're seeing

the latest and greatest news

um I also do a lot of social listening

so I have agents that are out there on

the internet collecting data and then

giving me like report every day on like

what's going on what companies are

getting funded um and if anybody's

interested like I maybe I'll be able to

like kind of share this agent with you

yeah that would be a good video actually

yeah we can we can do we'll chat about

that offline but uh okay I think from my

perspective it's really really

interesting that leverage like the tools

to figure out the latest and greatest

but also you got to just be in the right

circles so following certain people will

basically guarantee you're getting the

latest and greatest news but at the end

of the day there's certain people who

are like you know like yourself um we're

trying to do a lot of like kind of this

thought leadership as well and it's just

a matter of kind of seeing everything

making it really easy for people to

understand if you're not like a big

Twitter user you don't need to like post

I think that's one thing a lot of people

are scared of doing like you don't need

to actively be posting all you have to

do is just create your own you know uh

account with whatever name on it follow

a couple of the top people and from

there your feed will start getting

populated with all the right content

maybe it is the move to create a

separate account because because it is

so easy to waste time on Twitter because

curate curating your feed is so hard

like constantly muting people like

muting words it it should have shouldn't

be that hard but you know everybody who

kind of is more active deals with this

problem of like I want interesting AI

stuff only right I mean I would pay for

that if I could just do that manually

instead of like trying to having to

update my muted word list constantly but

still like most of the tweets I see are

not like productive interesting AI stuff

I Me Maybe you can give me some tips

because you know so there's you can

create lists which is not a bad thing um

but from my perspective I think the best

thing is just following the right people

and then like looking through the

following like the For You tab or I

don't know exactly what it's called on

Twitter but like that is great I think

that's it's like really great um to find

content um but I think like like

following the right people is the most

critical piece um and that's kind of

what we recommend it's just like you can

really and you also the one thing is you

don't want to be an echo chamber you

don't want to only listen to it but

that's why I think get to have kind of

separate Twitter accounts that are like

okay here's my AI Twitter account and

then here when I want to have like

worldly polit political views and

understand everything else that's going

on in society here's my other account um

but I think like it is good to kind of

have that targeted here are like the

hundred people I follow that I trust

that are posting great content and

doesn't take a long time you just need

to go into these communities for a few

minutes every day but as long as you're

doing that repetition you're going to

learn stuff guaranteed for some people

it's not immediately obvious the return

on that learning but just to give people

something more tangible every company

will want to keep those who are on the

top right like on the top of new things

new stuff Cutting Edge as you said like

the guy who's making presentation for

his management team the CH the chances

of him getting fired are very low right

because like he's teaching others and

he's benefiting the company more than

he's being paid for which is always a

good strategy but especially with like

new technologies that AI you know if if

the company is going to make a layoffs

whatever you're probably going to be the

last person on the list because you know

you're the AI guy like they don't want

to lose you like you always bring the

good stuff so you know everybody who's

watching this who has a job if you learn

Ai and if you you know teach your bosses

and the higher up you go the better

obviously like you you future prove

yourself and you the chances of you

keeping that job or maybe even getting

promoted are much higher for sure so I

highly recommend like testing things out

seeing like like this is my one

recommendation like I think you like

these like kind of acual bits I have

right here is like my notebook and

basically every day as I'm going through

my workday I literally just write down

things that I think can be automated

okay so I have like literally like pages

of like hey I did this workflow I think

I can automate this what I do is I use

this as now like a brain for me to think

about when I'm looking at different

tools can I use that tool to automate

this process and it's such an easy thing

for anyone to do it doesn't cost

anything um and I really recommend like

people like leaning in a bit there

because it will like at least now you

have a reference point when you're

looking at tools and looking at the

latest and greatest stuff of what's

possible and what what you actually can

start kind of automating okay so on that

note like what would you say are some of

the like most obvious like painfully

obvious things you see other people do

that could be like automated so easily

research I think is the number one like

I I have friends and and I love them

they're my good friends if you're

watching this but like they I have

friends who are like Financial research

and equity research and I think it's

great it's a really really cool job um

but it's one of these things that is

100% becoming automated it's you know a

computer or an agent or what whatever

you want to call a piece of software is

going to be able to research more than

you can cons this the information better

now with it referencing so like a lot of

the work over the past couple months has

been like how do we actually Source

where this data is coming from

accurately the second you hit off all

these criteria of like you know being

accurate being fast being able to

consume more data you you can't even

compete in that space um same thing with

like the you know the agent I was

talking about for uh researching people

I'm meeting with you are setting

yourself back by not leaning in and

using this technology and it's like it's

so obvious to me that like these are

better than it's not even like human

can't do these jobs it's just like

there's no reason a human should be so

if my assistant had to spend four hours

a day working on this that's four hours

she would be able to be helping with a

bunch of other things that that she has

on her agenda so I'm very big on like

figure it out I think like trying figure

out what aspects are the most

automatable in your life um and then

kind of you know work backwards from

there when it goes into the digital

realm people have these weird feelings

right but you can take examples with

animals like you know horses are much

better at certain things than people or

there's like some breed of pigs that can

smell like some specific potatoes yeah

yeah 10t underground and like no same

person would try to compete with those

pigs but for some reason when it's like

AI agent it's like whoa whoa whoa no

like that's my identity like I was doing

that task like I think you might just

gave me a tweet for today I like that I

I never really thought about it from

like the animal perspective but you're

100% right you know humans should be

focused on human tasks like I you know

one of the I say it's like right on my

LinkedIn it's like don't worry your job

is safe because the reality is it's like

there are inherently human parts of

every role and I think the biggest thing

you know if you're testing this

technology is lean in and try and figure

out which parts of these tasks are the

most human and that's a that's the

biggest when you can be making this is

something that I think most people in

the as space probably don't agree upon

at least I don't see it being talked

about but my theory is that at least in

the next 5 to 10 years before you know

some major improvements to the LM

architecture made

the by far winner combo is going to be

like human does the creative and like

you know directional stuff while llms do

the repetitive and you know llm stuff

good task but right now people always

think like okay there's like two

extremes right llms have stopped they're

not going to improve blah blah blah and

then it's like you know oh AGI ASI super

intelligence is coming in six months

right like we have we all saw these

videos at the start of the year and now

it's like six months later and like

where's where is the AGI where's the ASI

right so I think the actual reality for

the next 5 years is going to be that

humans do the things that LMS cannot do

like reasoning like creativity the stuff

that LM suck at and then just llms do

everything else and people who Embrace

this new way of working will just Crush

everybody else I couldn't G more there's

one company that we're good friends with

so payman I don't know if you've seen

them um you should get so tyin from

payman he's awesome he's built like an

agent that can pay humans to do tasks

that the agent can't complete so is like

happening like so like think about a u

let's give an example of like like

writing a blog post or liking a tweet or

retweeting something you can literally

the agent could say hey we want to

create uh marketing Buzz for this new

blog post and it will go and say for

every human that likes it will pay them

50 cents for every person who retweets

it will pay them a dollar and it will

verify that the human's done it it'll go

through the whole Loop and then it will

go back and pay the human and this is

the type of thing where like it's

happening like this is like obviously

they're on the cutting Edge I think it's

an awesome company we're we we're very

bullish on them working on some really

cool stuff together um but it's like

this is going to happen inherently these

agents are they have limitations like

you'd be maybe I don't know you could

talk to other people who might say

they're you know are infinite and can do

anything but we don't have AGI yet so

right now like there are limitations

with these things um I think it's really

really cool to see that people are

thinking about okay how do we actually

leverage like keep humans in a loop in a

necessary way like I think that's a huge

huge huge win yeah and I think once the

llms um actually learn you know what

llms are good at and I mean maybe you

can do it with a system prompt but you

know like basically we need the agents

to have like a deep understanding of

these are the type of tasks agents are

great at don't bother human these are

the tasks that agents suck at you know

pink the human as you said proactively

and like I'm stuck here can you help me

out and then the human like unstuck the

agent and I mean it will really be what

you just said right all of us even the

people who don't have companies will be

basically CEOs or managers of large

teams of agents and you know you will

just be overseeing different operations

and I think that's like really

empowering Vision dve we we'll send I'll

send you a bunch of links to kind of put

down below so we can get everybody up to

speed as quickly as possible um and

besides that yeah it's really really

great getting to chat don't let the AI

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