Swarms of AI Agents STUN the Entire Industry | 100 Million Jobs GONE? | Devin, Maisa, Groq & more
Summary
TLDRThe transcript discusses the emergence of AI software engineers like Devon and the impact of AI agents on various industries. It highlights the capabilities of these agents in performing complex tasks, such as setting up projects and interacting with customers, emphasizing the potential for AI to augment human work. The video also touches on the development of specialized chips like the LPU and KPU, designed to enhance AI inference speed and functionality. The speaker, Wes, shares his insights on the future of AI and its accessibility, encouraging viewers to share their thoughts on AI's role in their lives through a survey.
Takeaways
- đ€ Devon, the first AI software engineer, is making headlines and raising discussions about the future of software engineering roles.
- đ AI agents like Devon are being rolled out to the public, with some people already using them for the first time.
- đ„ McKay Wrigley's video demonstrates the impressive capabilities of Devon, highlighting the era of AI agents beginning.
- đ ïž Devon's interface provides a chat, shell access, an ID, and a browser, allowing it to perform complex tasks like setting up a project from a GitHub URL.
- đ The video showcases Devon's planning and execution steps, such as cloning a repository and installing dependencies.
- đ€ Ethan Mik discusses the new modality of interaction with AI coders, emphasizing the continuous background execution and debugging of ideas.
- đ AI systems are not yet fully autonomous and error-free, but they represent a fascinating starting point for future development.
- đą The potential of AI agents to handle tasks like setting up websites and marketing campaigns could significantly reduce the time and effort required by humans.
- đ AI agents can also manage customer interactions, such as making phone calls and handling sales inquiries, almost seamlessly.
- đ The AI landscape is rapidly evolving, with new models and technologies like GPT 4.5, zGPT, and various AI chips being developed.
- đĄ The future of AI suggests a shift in necessary skills, with domain expertise becoming more valuable than traditional programming knowledge.
Q & A
What is Devon, and why is it making news?
-Devon is the first AI software engineer developed by Cognition Labs. It is making news because it represents a significant advancement in AI, with the potential to either replace or augment human software engineers. Devon is being rolled out to the public and has begun to be used by people for the first time.
How does Devon interact with users and execute tasks?
-Devon interacts with users through a chat interface and has access to a browser, a command-line interface (CLI), and can run tasks in the background. It can read and understand project documentation, clone repositories, install dependencies, and execute complex technical steps based on the tasks given by the user.
What is the significance of the pulsing blue dot in Devon's interface?
-The pulsing blue dot in Devon's interface indicates what the AI is currently working on. It provides a visual cue to the user about the status of the tasks being executed, showing live activity and the progression of the work being done.
What is the role of the AI agent in the future of work, according to the video?
-The AI agent is expected to revolutionize the future of work by taking on tasks that humans currently perform, especially those that are monotonous or time-consuming. AI agents like Devon could potentially reduce the need for human intervention in various tasks, allowing individuals to focus on more complex or creative aspects of their work.
How does the video describe the potential impact of AI agents on businesses?
-The video suggests that AI agents could significantly reduce costs for businesses by automating customer service and other tasks that currently require human labor. For example, AI agents could handle customer inquiries and transactions at a fraction of the cost of human agents, leading to substantial savings.
What are some of the other AI agents mentioned in the script?
-Besides Devon, the script mentions McKay and Wrigley, who are impressed by Devon's capabilities, and Ethan Mik, who discusses the new modality of interaction that AI agents like Devon offer. Additionally, AI Jason is mentioned, who provides insights into the potential of AI in various applications.
What is the significance of the language processing unit (LPU) mentioned in the script?
-The language processing unit (LPU) is a specialized hardware accelerator designed to improve the inference speed of AI models, enabling real-time AI applications. LPUs, like GPUs (graphics processing units), are tailored for specific types of computations, in this case, language processing, which is crucial for AI agents to understand and generate human language effectively.
How does the video address concerns about AI replacing human jobs?
-The video acknowledges that AI systems are not yet capable of performing tasks autonomously without errors and that there is still work to be done before they can be fully trusted with major projects. However, it also suggests that AI will lead to a shift in the types of skills that are in demand, with a focus on domain expertise rather than traditional programming skills.
What is the role of domain expertise in the context of AI?
-Domain expertise becomes increasingly important in the context of AI because it allows individuals with specific knowledge in a particular field to utilize AI technology effectively. AI provides the computational power and intelligence to carry out tasks, but domain expertise guides the AI in the right direction and ensures that the outcomes are relevant and useful.
What is the potential future scenario where AI agents are widely accessible?
-The potential future scenario outlined in the video is one where AI agents are accessible to everyone, allowing individuals to hire 'intelligence on demand' for various tasks. This could lead to a significant shift in how work is done, with AI agents taking care of monotonous or time-consuming tasks, freeing up humans to focus on more complex and creative endeavors.
What is the upskilling process mentioned by Jensen Huang, CEO of Nvidia?
-The upskilling process mentioned by Jensen Huang refers to the need for individuals to learn new skills in the age of AI. As AI takes over tasks that were traditionally done by humans, the focus shifts to domain expertise and the ability to effectively use AI technology. This process is expected to be 'delightful' and 'surprising', as it will open up new possibilities for individuals across various fields.
Outlines
đ€ Introduction to Devon: The AI Software Engineer
The video begins with an introduction to Devon, the first AI software engineer that has been making headlines. It discusses the potential impact of AI agents like Devon on the future of software engineering, whether they will replace or augment human engineers. The video creator shares firsthand experience with Devon, demonstrating its capabilities in setting up a complex project from a GitHub URL. The AI's workspace is shown with access to chat, CLI, an ID, and a browser, highlighting its ability to execute tasks in real-time.
đ AI Agents Transforming Productivity
The video continues with a discussion on how AI agents are changing productivity and work dynamics. It features comments from McKay Wrigley, who is impressed by Devon's capabilities. The video creator shares his experience of using Devon to set up a project, highlighting the AI's ability to read a readme, clone a repository, identify a package manager, and install dependencies. The segment also touches on the potential of AI agents to handle multiple projects simultaneously, working around the clock, and the excitement around the new modality of interaction with AI.
đ Real-World Applications of AI Agents
This paragraph delves into real-world applications of AI agents, such as automating the setup of websites and handling customer inquiries. The video creator reflects on his experience in e-commerce and online business, discussing the time-consuming tasks that could potentially be automated by AI. It also explores the limitations of AI, such as the inability to conduct sales calls or handle customer objections without human intervention. The video introduces AI Jason, a YouTube channel discussing Gro, an AI that can generate text, transcribe voice, and handle real-time phone calls, showcasing the potential of AI in customer service and lead generation.
đĄ The Future of AI and Business
The video discusses the future of AI in business, highlighting the potential cost savings for companies by replacing human customer service agents with AI. It mentions various AI models and platforms, such as GPT 4.5, zGPT, and Chatbot Arena, and their rankings based on user preferences. The video emphasizes the collective intelligence of global experts working on AI agents and infrastructure, and the potential for AI to democratize access to intelligence, making it more affordable and accessible.
đ Empowering Individuals with AI
The final paragraph focuses on the empowerment of individuals through AI, suggesting a future where intelligence is no longer a luxury for the wealthy. It discusses the shift from human intelligence being expensive and scarce to AI making intelligence more accessible and affordable. The video creator shares a survey to gather community input on AI and expresses a desire to involve the community in future plans. The video ends with a call to upskill and adapt to the changing landscape brought about by AI, with a vision of a future where everyone can leverage AI to enhance their domain expertise.
Mindmap
Keywords
đĄAI software engineer
đĄCognition Labs
đĄAI agents
đĄNatural Language Processing (NLP)
đĄGrok
đĄCustomer service automation
đĄUpskilling
đĄGPT-4.5
đĄMulti-agent code generation
đĄKnowledge Processing Unit (KPU)
đĄAI inference speed
Highlights
Devon, the first AI software engineer, is making news and raising discussions about its potential to replace or augment human software engineers.
Devon is being rolled out to the public, with some people already using it for the first time.
McKay Wrigley's video demonstrates the impressive capabilities of Devon, showcasing its real-time project setup from a GitHub URL.
Devon's interface includes chat, a shell for CLI commands, an ID for authentication, and a browser for web interactions.
The AI agent can plan and execute tasks autonomously, such as cloning a repository and installing dependencies.
Ethan Mik discusses the new modality of interaction with AI agents like Devon, emphasizing the continuous background execution and debugging of ideas.
AI agents could potentially revolutionize productivity and work processes, allowing for asynchronous task management and execution.
Despite the excitement, AI systems are not yet ready to work autonomously without human oversight or assistance.
The potential of AI agents to reduce the time and effort required for tasks like setting up online stores or marketing campaigns is significant.
AI Jason's YouTube channel discusses GPT and its applications, including a live demonstration of an AI agent making a phone call.
Grock's Language Processing Unit (LPU) aims to set the standard for Gen AI inference speed, enabling real-time AI applications.
MSA AI Mesa's Knowledge Processing Unit (KPU) is showcased in a demo helping a customer with an order issue, highlighting the potential cost savings for businesses.
The development of AI agents is attracting the brightest minds from various fields, indicating a shift in focus towards AI technology.
GPT 4.5 and other advanced models are on the horizon, with potential releases and updates expected soon.
Chatbot Arena's rankings show the preference for different AI models, with newcomers like Claude 3 Opus gaining popularity.
The future of AI suggests a shift towards domain expertise being more valuable than traditional coding skills.
Jensen Huang, CEO of Nvidia, envisions a future where everyone can be a programmer through natural language programming, thanks to AI advancements.
Upskilling in domain expertise and adapting to new AI technologies will be crucial for success in the evolving job market.
Community engagement and feedback are essential for shaping the future of AI applications and accessibility.
Transcripts
so at this point you probably heard
about Devon the first AI software
engineer this AI agent has been making
some news a lot of people have their own
takes on how far this will go to either
replace software Engineers or augment
them it's slowly being rolled out to the
public and we're beginning to see it
being used by some people for the first
time but here's the thing this one is
the first of many because on the heels
of Devon's announcement from cognition
Labs a number of other similar agents
are dropping buckle up so here's McKay
Wrigley he's saying I'm Blown Away by
Devon watch me use it for 27 minutes
it's insane the era of AI agents has
begun I'll link this below if you want
to see it but let me just highlight a
few portions of this video okay guys
we're going to just jump in right away
so I'm going to send this off to Devon
right now so yes we are in Devon we are
in cognitions New AI software engineer
basically what I'm doing is I'm in the
chat here and has access to a browser
here you can see following is on again
this indicator shows us live um just to
draw your attention to a few other
things here this pulsing blue dot with
this grade text is basically indicating
what Devon is up to right now is I'm in
the chat here and I'm asking Devon to
set up this project and what I did was I
gave it a GitHub URL which links to my
chatbot UI project and I basically want
to see can it set it up like this is the
read me for this project it's a fairly
complex setup which is is something I'd
expect a software engineer to be able to
do basically you can see over here is
our chat and then over here is Devon's
workspace okay and so if we go into quad
view here Devon has four things has
access to our chat has access to a shell
so it can run a CLI it has an ID which
will be right here once that begins if
it needs that step and it has access to
a browser here and this just follows it
live okay we can actually see like a
history of what it's done right here
which is pretty cool this pulsing blue
dot with this gr text is basically indic
what Devon is up to right now you know
we're just sitting here waiting for it
to complete tasks okay every once in a
while Devon will actually this will turn
orange and it will need information cre
look at a few things so you can see over
here Devon is in its planner so you can
see that Devon has a planning step here
here are all the steps I need to
accomplish based on the task I was given
right and it just came up with that list
by itself so step one was cloning the
repository from get a blink we gave it
it ran get clone with the URL
so it cloned that it finished and then
it marked it as done in the planner then
you can see this next step which it was
doing while I was just talking was
identify the package manager and
installed the dependencies so what it
actually did was it ran npm install here
basically that's just installing a bunch
of like prepackaged software and now
it's just doing its thing so you can see
we got a little message from Devon said
I've clone the repo I'm reading the read
me it's basically just constructing a
plan based on reading the readme and
sure enough like these are all the steps
I would expect a regular software
engineer to follow right CL on the repo
read the instructions install the
packages and then in this particular
project we have to set up a super Bas CI
so that's basically the back end
basically we we want it to basically get
to this step and just get to the app
Devon's now trying to install super base
which is pretty impressive this is a
fairly complex technical step so
basically using the command line here
Devon's now downloading more or less our
our database that we use for the app and
the reason I'm recording this and the
reason I'm so excited about this is
because this really feels like the chat
GPT moment for agent products so
definitely sounds like pretty good
feedback here's Ethan mik we've covered
him and a few of his posts before on
this channel so it seems like he's
working a lot at kind of the
intersection of working productivity and
AI that whole blog post about the jagged
Frontier and cyborgs and centaurs was
his work he was one of the people in
that study so looks like he's got a a
book coming out co-intelligence which I
would guess would be pretty good and
he's saying this the thing that makes
Devon the AI coder really interesting is
the new modality of interaction you can
talk to it at any time like you would a
person and it just keeps chugging away
in the background executing and
debugging your ideas and so here's just
kind of a time laps of the project that
he was doing and this is true with a lot
of previous ones even something like
Chad Dev and autogen where you can have
multiple ages kind of strung together
working together even autogen I mean you
can take turn speaking but it is kind of
a turn based approach with Chad Dev you
kind of give them the higher level task
and they get to work they talk back and
forth but this kind of interface is it
seems like it's the first view of what
the future of Agents will look like it's
not going to be a back and forth you
will kind of asynchronously whenever you
have time or ideas just kind of dump
them into the chat right the agents
might even have multiple projects
running potentially you kind of add
information as needed and the agent is
always working as long as it kind of has
some more subtasks to complete it keeps
going and and building them 24 hours a
day I mean this is a lot more like you
would with somebody that that works for
you for example you know if you hired
somebody to help you with a project you
give them the top of task they start
working you add feedback and any other
information they might know but they're
they're kind of working that whole time
he's saying to be clear AI systems
aren't quite there yet to do this work
autonomously and airror free without
help even afterward there's a waste to
go before you would want to trust a
major project to AI but it is a
fascinating start nevertheless he's
saying I can't code in Python it is
doing everything autonomously based on
my request for a website that explains
how dilution Works in startup funding I
can't help but feel excited I can't wait
to see this done so I've shared a little
bit of my background on this channel a
couple times but I've been kind of in
the e-commerce space online business ads
whatever you want to call it for the
last decade plus so I've built a lot of
websites and Shopify stores and a lot of
campaigns and and setup servers and
tracking and analytics and just
everything everything everything and
I've done it so many many many times to
where I mean it's it's it's fairly easy
for me now but still if you want to be
effective at something like this you
have to be able to get through a lot of
manually doing stuff right to set up an
online store you know you can see that
as 2 hours of your focused attention you
want to set up a marketing campaign with
landing pages you know that's 3 to 5
hours depending on the complexity you
know if upsells or whatever of your
focused undivided attention we're
getting closer to the time when a lot of
that is going to be done with a simple
sentence maybe over time you'll build
kind of a copy and paste little cheat
sheet of command prompts that of prompts
that that work really well to create the
right thing for you some sort of custom
instructions and then you just say it
and this thing goes and it builds it
builds stores blogs landing pages so
what though so what happens so if I set
up a gym website like I still have to
take the phone calls right when the
customers come in and I still have to
sell them on it right I have to convince
them to buy whatever product that I'm
selling that still work AI can't do that
work well let's see so this is AI Jason
AI Json uh is a YouTube channel and he
kind of comes out of nowhere every once
in a while and just drops some fire and
so I do want to highlight this one his
latest is talking about Gro he does a
deep dive into Gro with a Q so that's we
we've covered that a little bit I've did
a little bit more research into grock
since then and yeah it's the real deal
you're you're on uh Cloud n it
seems I don't know how people hate that
guy but in this one Jason basically goes
through talks about grock what is the
lpu the language processing unit how
it's different which that's what grock
is basically and then later he like live
just you know kind of uh on video builds
this app that uses grock and text to
voice and builds this little app and
take a look at what this app does so
this is like a Skype chat where he's um
you know he visits the website whatever
and then submits his information um you
know so this is like a chat app which we
know chat Bots can do chat apps okay but
what happens next next he receives a
call on his phone let's listen in my
and is start calling this function
called you can see it called a function
called cor pers our phone and if I
switch to my phone I actually do get a
phone call from the AI agent so I can
click accept to receive
it hi Jason I'm reaching out from crazy
Fitness regarding your interest in our
gym memberships I'm here to provide you
with all the information you need and
answer any questions you might have
thanks for calling no problem so what
specific fitness goals are you looking
to achieve uh I just want to lose some
weight I haven't do exercise at all for
the past three or six months since Co I
totally get that our personalized
training and nutrition programs can help
you reach your weight loss goals let's
discuss the membership options that are
best for
you okay sounds good I think I'm pretty
happy to just go ahead and get the
membership start this Saturday if
possible great to hear that to complete
the process I just need your credit card
number to secure your
membership
okay so my credit account number is
12341234 4231
4231 thanks Jason you're all set see you
on Saturday all right thanks byebye once
I finish the phone call it will actually
send the transcript back to the agent
session so you can see that it has
message just call the pur back below is
a transcript and based on this
transcript then the agent will be able
to decide next step after set up this
hook we will first add it then we will
something like this this and calling the
function called you can see it called a
function called call Press about phone
and if I switch to my phone I actually
do get a phone call from the AIA as you
can see here that entire thing has been
handled by the agent the the
conversation has been saved as a
transcript now you can you know extract
the credit card number out of that you
can probably automate that although you
know maybe initially just do it yourself
so it doesn't mess up but the point is I
mean that was a live call as far as you
can tell it was kind of going back and
forth pretty seamlessly he wasn't
waiting on the AI to respond and that is
new that hasn't really been around for
that long where that could happen that
quickly that fast so we're at a time
when this AI can generate text and near
instantly transcribed into voice and so
the input the like as you say things
that voice to text happens then the chat
bot the llm generates a response then
takes that response as text turns it
into voice and outputs of back and all
of that happens you know near instantly
or at least at conversational speeds
what is the thing that makes it possible
well that's Gro so instead of a GPU a
graphics Processing Unit you have an lpu
a language processing unit and so
they're saying grock is on a mission to
set the standard for Gen AI inference
speed so inference speed inference is
the response right so how quickly does
it generate its response helping
realtime AI applications come to life
today so are you picking up what I'm
putting down so you have something like
this building out your entire online
ecosystem marketing campaigns websites
capture forms whatever you have the
customers call in your phone number or
start a chat where the bot can talk to
them talk back and forth to try to get
them to either call in or just check out
when they call in a lovely cheerful and
excited voice pick up to answer all your
questions handle your objections and
collect your payment details now you
might be thinking yeah but so what that
still leaves the worst part you still
have to deal with those customers like
if those stupid customers mess up right
they I don't know they put the wrong
address somewhere or whatever like I
still have to troubleshoot and deal with
that don't I well let's see so here's
MSA AI Mesa Ai and so they're powered by
a kpu they have a paper on it I looked
through it briefly so there's a little
bit I think of of marketing speed going
on here cuz the kpu the knowledge
Processing Unit generally that's
deserved for you know that's kind of how
we name our chips right so this is
basically just a what would you call it
a software stack now some people are
kind of calling them out like saying
well unless we're missing something this
is an architecture based on well-known
patterns so like we we've seen this
before they're well put together they're
wrapped around an API and sold as a
service the point is don't read too much
into like the marketing thing but that
doesn't mean it's not good and again
this will keep happening and people will
keep pointing it out and and yes
Shenanigans can be annoying even the big
tech companies are seemingly now
engaging in various forms of shenanigans
to make their product appear better than
it is to Edge out the competition but at
the end of the day is it good does it
work so here's a demo of them helping a
customer for question about an order
that did not arrive this time the
customer accidentally did not write the
order ID correctly so basically this
thing the kpu as they're referring into
it I didn't dive too much deeper but it
just sounds like you know they took a
large l language model GPT 4 or whatever
and they just they they added some
things to it some some functionalities
some code and whether it was brand new
or not doesn't matter it just sounds
like they they executed whatever they
did pretty well and so now this thing is
working kind of like deavon but whereas
Davin is a little bit more for software
development and stuff like that this is
a little bit more multi-use so here the
agent basically starts by understanding
what's happening in the context of this
email they're reading this email that
they're ping from email. text and it
really spells out like hey we got to
really understand what this person wants
next they're loading the orders CSV to
see whether or not it's correct next
upep they open up the orders file to see
what orders are in there to try to find
the customer file and then try to
identify the specific order that the
customer is talking about and then they
find the order and they respond to the
customer telling them that it's marked
as being in transit in our system and
saying because we are so sorry let me
give you a coupon code for 20% discount
on your next purchase with us and so
this is just one small task that it can
do you know you can expand and check its
reasoning process to see if there's any
mistakes that are that have been made or
anything like that how much did it cost
to answer that customer email well 21
cents you know and 45 seconds if you
want it run without explanations or 96
seconds with explanations which I don't
know if that even matters I mean when
we're talking about answering customer
emails I mean it could take hours and
still be very much faster than the
expectation there's a weight list for
the Early Access and again so this is
just one example of what's coming some
people are dunking in the thing cuz they
you know of their how they name things
but regardless of what any one
particular app or agent or company that
creates them how well they do the point
is there's a lot of them and they're all
working to create an agent for every
business the sheer amount of money
somebody that can create an agent that
does customer service or any other
specific thing the amount of money that
can be made is massive because companies
are already spending massive amounts of
money on that so if they're able to cut
the cost you know 10% it's a no-brain
for them with a lot of stuff like this
they're cutting their cost 99 plus per.
if you go from paying human customer
service agents to something like this
again what was it 21 cents to answer an
email I mean that's massive and the
people building all this stuff they're
smart like really smart for example for
recognition Labs they're saying our team
is small and talent dense all founding
team has 10 II gold medals II is of
course the bad guys in Ready Player one
so it's it's either that which which
this would make them the bad guys or
possibly it's the international Olympiad
in informatics which is an annual
competitive programming competition
where the best and brightest from all
over the world compete in various
complicated tasks usually involving
writing a computer program so that that
probably makes more sense I would say
that this makesense some really really
smart and there are leaders and Builders
who have worked at The Cutting Edge of
Applied AI at companies like cursor
scale AI lunch Club modal Google deep
mine weo and neuro this was from January
of this year agent coder multi-agent
code generation with iterative testing
and optimization and we have you know
Hong Kong Shanghai London Sussex various
Global researchers working on this stuff
attempting various architectures to to
build these agent coders now you might
have heard the leaks about GPT 4.5 5
turbo so it seems like potentially
somehow there's an index paged in Google
with open AI you know setting that
announcement for releasing GPT 4.5 turbo
in June or at least they're saying that
it will have a knowledge cut off of June
which could maybe sounds like that's
when it's ready to be released by
potentially secondhand rumor Sam Alman
thinks GPT 4.5 will automate 100 million
jobs globally also UCI University of
California Irvine is launching zot GPT
what is z GPT well it's built on top of
open AI so it's using one of the GPT
models from open AI it provides no cost
access to various open AI models
basically for faculty and staff this is
the way back machine so this is kind of
a snapshot of how this web page looked
like when this was launched on the on
March 12th they did list the model as
GPT
4.5 when they published this blog right
in here they're kind of saying that the
a AI model is gpc4 but they have more
planned so so it sounds like they're you
know talking to open AI open saying hey
we have something coming and if you've
been following some of my videos I don't
remember if it was a few months back or
a month ago late at night one night a
lot of people found that including
myself cuz I ran the test I actually
recorded it but Chad GPT was convinced
that it was running on GPT 4.5 turbo but
whatever the case is the point is the
bigger better models are coming very
soon the next GPT the next Gemini even
if Google and openi cease to exist well
here's chatbot Arena the rankings for
all of the different LM models by at
this point 408,000 people that have
tested them blindly so they they don't
know which ones they're using and they
just vote based on how good the results
are so kind of this is a representation
of what models people prefer so GPT 4 is
on top but uhoh what's this we have a
newcomer that I mean I'm going to go
ahead and say this is number two right
cuz the first models GPT 4 right so this
is you know after GPT this is the next
best model tra trailing by just a few
points here that's not that big of a
difference all right and it's Claude 3
Opus that's the model that everybody was
freaking out cuz it was so self-aware
they one to describe itself as some sort
of a hyper intelligent octopus with
infinite tendrils lashing out in all
directions which you got to give it
credit for style what's crazy is that
CLA 3 Sonet the smaller model also Opus
is the the top this one's the next down
and then the ha coup I believe is the
next one but Opus beats out Bard Gemini
Pro that's connected to the internet
that's online and clae 3 Sonet beats out
the older versions of GPT 4 and also the
mistal models and this is important to
understand so we're seeing progress
across everything we're seeing progress
across chips and how fast they respond
we see progress across the agent
architecture kind of how we're building
them a long time ago the smartest people
in the world were working on various
physics projects nuclear energy Etc
somewhat more recently the smartest
people in the world were working on how
to get you to click on ads how to get
you engaged in various content online
and now all those smartest people and
there's a lot more of them now when they
can all talk to each other globally all
of them are working on this AI agents
chips anything in this infrastructure
where they can be useful this is what
they're building one things that a lot
of you in the comments have asked
repeatedly this is kind of a theme that
I see is like what do we do what do we
build how do we sort of you know what do
we do we don't want to sit on the
sidelines we want to go out there we
want to create stuff and I know a lot of
you are building stuff and it's very
impressive so I posted this very
recently just an hour ago as I'm
recording this and it's basically asking
people to answer a few questions for me
to understand what they're looking to do
with AI what they're struggling with so
many of you responded that it blew past
my free tier limmit at type form so I
just updated it so if you've tried to
get in and it said it's broken or
whatever try again we should have plenty
of room now so I'll post this link below
if you can take two minutes share some
of your thoughts with me I would greatly
appreciate it it's not a weird thing to
harvest some data from you your email or
anything like that I just literally just
want to know what you think because I'm
getting a lot of people reaching out to
me that are Engineers Builders various
teams they have some interesting ideas
about what they're building or what they
could build so if some of that's useful
for us as a community I'll bring them in
put them in front of you I'm not sure if
everybody noticed but we haven't had any
sponsorships on this channel that's not
cuz people aren't asking to sponsor this
Channel That's cuz I'm saying no and
that's largely because we have an
amazing community and I have a few ideas
of how to involve all of you in deciding
where we all go next and to all the
people that feel a little bit confused
that a little bit ious about taking
advantage of the stuff that's happening
but not quite sure which direction to go
I have some ideas this survey will help
me refine some of my thoughts and we'll
we're going to be announcing some really
cool things in the upcoming days or next
week perhaps so really fast just a few
quick quotes here's Andrew a talking
about intelligence the power to apply
skills and knowledge to make good
decisions we invest years of our lives
and trillions of dollars on education
all to develop our ability to make
better decisions human intelligence is
very expensive this is why only the
wealthiest Among Us can afford to hire
huge amounts of intelligence like that
specialist doctor to carefully examine
think about and advise you on a medical
condition or a tutor that can truly take
the time to understand your child and
gently coach them where they need help
but unlike human intelligence artificial
intelligence can be made cheap so a
opens up the potential for every
individual to hire intelligence
inexpensively so that you no longer have
to worry about that huge bill from going
to see a doctor for falling sick or for
getting an
education and you'll be able to hire an
army of smart well-intentioned
well-informed staff to help you think
things through now think about what we
were talking about earlier about you
know for example building an online St
or like some sort of a gym website where
people input their data their phone
numbers then the sales agent calls them
in the past you needed money you need
the capital to buy intelligence right
cuz intelligence was only really
available in humans and we're lazy and
cranky and we sleep 8 hours a day we're
expensive intelligence is expensive
because it's scarce what happens when it
gets cheaper or specifically what
happens where it's more accessible what
happens when you and I we can have
Intelligence on demand intelligence to
complete various tasks that either we
can't do or maybe you know we could do
but we don't have enough time or it's
too monotonous or whatever if we could
just spin up these agents and they would
go and take care of it for us how much
easier would life be would it be easier
to do research and run a business and
make sure all your bills are paid have
something that keeps track of your
calendar that used to be only available
to the wealthiest of people hiring
people hiring assistants was not
available to everybody and now
potentially in the future it would
become more and more accessible here's
Jensen hang so he is the CEO the founder
of Nvidia and here he's talking about
whether or not you will need to learn
how to program now we'll do a video on
this in a little bit because I kind of
want to dive deeper into this but notice
what he says will be important when we
don't need to program what will be the
skill that is needed if the text stuff
becomes infinitely easier it's it's
going to sound completely opposite of
what people feel over the course of the
last 10 years 15 years um almost
everybody who sits on the stage like
this would tell you it is vital that
your children learn computer science um
everybody should learn how to program
and in fact it's almost exactly the
opposite it is our job to create
Computing technology such that nobody
has to program and that the programming
language is human everybody in the world
is now a programmer this is the miracle
of artificial intelligence the countries
the people that understand and how to
solve a domain problem in digital
biology or in education of young people
or in manufacturing or in farming those
people who understand domain expertise
now can utilize technology that is
readily available to you you now have a
computer that will do what you tell it
to do it is vital that we upskill
everyone and the upskilling process I I
believe will be delightful surprising so
it's that idea of domain expertise you
need to be good at whatever it is that
you chose to be good at ni AI provides
all the other things that you might need
it provides the intelligence to carry
out those tasks provides the tech
abilities to build some of the tech that
you need so as he says coding is just
done in natural language but I think the
really big Point here is that we all
need to upskill and potentially not in
the same skills that we're used to I
will on this channel do my best to try
to provide whatever help I can again
fill out that survey down below so I
know what you need and thank you for for
being part of this community I seriously
mean that my goal is to hopefully get to
know a lot of you better we have some
big things planned I'll leave it on that
my name is Wes rth and thank you for
watching
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