GPT-4o: The Good, Bad & Ugly for AI Agency Owners

Summary

Le Motley discusses the Open AI's GPT 4.0 update, highlighting both the positive and negative implications for AI agencies. The new model, GPT-Omni, offers enhanced human-computer interaction through multimodal inputs and outputs, simplifying workflows and reducing costs. However, integration challenges, lagging consumer behavior, and technical complexities with images and video inputs pose concerns. The video also touches on the potential plateau in AI intelligence, suggesting a temporary pause that could benefit AI agencies by allowing them to solidify their solutions and services before the next wave of advancements.

Takeaways

• 🚀 OpenAI has released GPT-4, a significant update that includes the new flagship model GPT-4 Omni, which can process text, audio, image, and video inputs and outputs.
• 💡 GPT-4 Omni promises a more natural human-computer interaction by streamlining the process of handling multiple types of inputs and outputs.
• 🌐 The new Chat GPT desktop app is available for Mac users, and GPT-4 is now accessible to free users, expanding the GPT store to over 100 million potential users.
• 💰 There is still no clear information on the monetization of GPTs in the store, which was initially presented as an attractive feature for developers.
• 📈 The introduction of GPT-4 brings new modalities, simplifying workflows and potentially reducing costs by requiring fewer APIs for various tasks.
• 🎙️ Voice AI systems and providers are expected to benefit greatly from GPT-4, as it could reduce response times by up to 60%.
• 📊 GPT-4 APIs are reportedly twice as fast and 50% cheaper than GPT-3.5 Turbo, making it an attractive option for cost-conscious AI agencies.
• 🌏 GPT-4 offers improved language support, covering over 50 different languages and 97% of the spoken world, which could open up new markets for AI agencies.
• 🔗 The challenge for AI agencies will be the integration of GPT-4's new capabilities into existing platforms and customer interfaces, which may lag behind the technology.
• 🤖 Consumer behavior may not keep pace with technological advancements, meaning that the adoption of new AI functionalities could be slower than expected.
• 📉 There is a concern that generative AI, including GPT-4, may be plateauing in terms of intelligence gains, with diminishing returns on increasing training data sizes.
• 🛑 Despite potential plateaus, the speaker is optimistic about the future of AI, suggesting that this could be a temporary pause that allows the industry to solidify solutions and innovate further.

Q & A

What is the main focus of the video by Le Motley?

The main focus of the video is to break down the GPT 4.0 release from Open AI, discussing the implications of the update for AI agencies, highlighting both the positive and negative aspects.

What does GPT 4.0 (Omni) aim to achieve according to Open AI?

GPT 4.0 (Omni) aims to achieve much more natural human and computer interaction by taking inputs of text, audio, image, and video, and being able to output text, audio, and image.

What new features are included in the Open AI spring update besides GPT 4.0?

Besides GPT 4.0, the Open AI spring update includes a new chat GPT desktop app and making GPT 4.0 available to free users, opening the GPT store to over 100 million users.

What is the potential impact of GPT 4.0 on AI agency owners?

The potential impact on AI agency owners includes new solution opportunities, simplification of workflow, decreased costs due to fewer APIs, and the possibility of expanding into new markets with better language support.

How does GPT 4.0's new capabilities affect response times in voice AI systems?

GPT 4.0's new capabilities can reduce response times in voice AI systems by up to 60%, making interactions faster and more efficient.

What are the cost implications of using GPT 4.0 compared to GPT 3.5 Turbo?

GPT 4.0 is twice as fast and 50% cheaper than GPT 3.5 Turbo, making it a more cost-effective option for AI agency owners.

What challenges does the video suggest regarding the integration of GPT 4.0's new modalities?

The video suggests that the integration of GPT 4.0's new modalities will require platforms like Make.com and Voiceflow to catch up with the technology, as they currently lag behind and do not support these new features.

How does the video address the issue of consumer behavior in relation to AI advancements?

The video addresses the issue by stating that while technology can advance rapidly, consumer behavior and preferences take much longer to adjust, which could be a barrier to the adoption of new AI features.

What technical difficulties might arise with the introduction of image and video inputs in AI systems?

The video suggests that building systems around complex and varied inputs like text, image, and audio could introduce difficulties in prompt engineering and reliability, as these models are not yet good enough to be integrated into business systems.

What is the potential concern regarding the plateau in intelligence as shown in the model evaluation?

The potential concern is that generative AI may be reaching a plateau or an upper limit in terms of intelligence, with incremental improvements and diminishing returns on increasing the size and amount of data in training models.

What is the speaker's perspective on the future of generative AI beyond the current plateau?

The speaker believes that the plateau is temporary and that the field of AI is far from done. They anticipate that new, more efficient architectures will be developed, pushing the field further and providing a chance for AI agencies to solidify their solutions.

Outlines

00:00

🚀 GPT 4.0 Release: Opportunities and Challenges for AI Agencies

The video discusses the recent GPT 4.0 release by OpenAI, highlighting both positive and negative implications for AI agencies. The new model, GPT-4 Omni, is designed to handle multiple inputs like text, audio, image, and video, and produce outputs in text, audio, and image formats. This advancement simplifies workflows and reduces reliance on multiple APIs. The release also includes a new chat GPT desktop app and makes GPT 4.0 available to free users, expanding the GPT store to over 100 million potential developers. However, concerns are raised about the lack of information on GPT store monetization and the incremental rather than revolutionary nature of the improvements.

05:00

🌐 GPT 4.0's Multilingual Advancements and Cost Reductions

This paragraph emphasizes the improvements in GPT 4.0's language support, now covering over 50 languages and 97% of the spoken world. The new token compression method also reduces token usage for certain languages, which could make localizing AI solutions more accessible. The video mentions the cost benefits of GPT 4.0, being twice as fast and 50% cheaper than GPT 3.5 Turbo, making it an attractive option for agencies. The potential for voice AI systems to significantly reduce response times by up to 60% due to the new audio capabilities is also highlighted, suggesting a bright future for voice AI in the industry.

10:00

🔍 Integration Challenges and Consumer Behavior in AI Advancements

The speaker expresses concerns about the long road to integration for the new multimodal capabilities of GPT 4.0. While the technology is advancing rapidly, platforms like Make.com and Voiceflow are lagging behind and may take time to support these new features. This could delay the practical application of these technologies for end-users. Additionally, there is a discussion about consumer behavior and how it takes time for people to adapt to new technologies, such as e-commerce and potentially AI interactions. The video suggests that while technology advances, consumer adoption may not keep pace, which could affect the uptake of new AI solutions.

15:01

🛠 Technical Complexities and the Plateau of Intelligence

This section delves into the technical challenges of building systems around complex inputs like images and videos. The video points out that while text-based AI systems are difficult enough to engineer reliably, introducing visual and auditory elements adds another layer of complexity. The speaker also discusses the potential plateau in the intelligence of generative AI, as evidenced by incremental improvements in performance and a research paper suggesting diminishing returns as model size and data increase. The video concludes with an optimistic view that this plateau may be temporary and that innovation will continue to drive progress in AI, providing a window for AI agencies to solidify their solutions and services.

🎯 The Future of AI Agencies Amidst Technological Advancements

In the final paragraph, the focus shifts to the potential impact of AI advancements on the role of AI agencies. The video suggests that the incremental improvements in AI and the temporary plateau could provide a valuable opportunity for agencies to refine their services and establish themselves in the market. The speaker argues against the notion that AI will soon become so advanced that businesses won't need specialized AI agency services, stating that such an outcome is highly unlikely in the near future. The video ends with a call to action for AI agencies to use this period to improve their craft and solidify their place in the industry.

Keywords

💡GPT 40

GPT 40, also referred to as Omni, is a flagship model released by OpenAI that represents a significant step towards more natural human-computer interaction. It is designed to take in inputs of text, audio, image, and video, and output text, audio, and image. The model's multimodal capabilities are a simplification of previously separate services, allowing for a more integrated approach to AI interaction. In the video, GPT 40 is highlighted as a central theme, with discussions around its implications for AI agencies and its potential to revolutionize the industry.

💡AI Agency Space

The AI agency space refers to the industry and businesses that focus on developing and implementing AI solutions for clients. In the context of the video, the AI agency space is directly impacted by the release of GPT 40, as it opens up new opportunities and challenges for agencies to adapt and integrate advanced AI capabilities into their offerings. The script discusses both the positive and negative implications of GPT 40 for these agencies.

💡OpenAI Spring Update

The OpenAI Spring Update refers to a recent release of new features and models by OpenAI, the company behind GPT models. The update is significant because it includes the launch of GPT 40 and other enhancements like the new chat GPT desktop app. The video discusses the update's impact on the AI industry and the potential it holds for future developments.

💡Multimodality

Multimodality in the context of AI refers to the ability of a system to process and understand multiple types of input and output data, such as text, audio, image, and video. The script highlights GPT 40's multimodality as a key feature, allowing for more natural and human-like interactions with AI systems. This capability is seen as a significant advancement for AI agencies, as it simplifies workflows and opens up new solution opportunities.

💡Voice AI Systems

Voice AI systems are technologies that enable interaction with AI through voice inputs and outputs. The script suggests that with GPT 40's ability to handle audio inputs and outputs, Voice AI systems are poised to win big, as they can potentially reduce response times by up to 60%. This improvement could lead to a boom in the voice AI space, offering new opportunities for AI agencies to specialize in this area.

💡Token Compression

Token compression in the context of AI refers to a method that reduces the number of tokens needed to represent a piece of data, thereby increasing efficiency and potentially reducing costs. The script mentions that GPT 40 introduces a new token compression method that decreases token usage for various languages, which could be beneficial for AI agencies operating in multilingual markets.

💡Monetization of GPTs

Monetization of GPTs refers to the process of generating revenue from the development and use of GPT models. The script raises a concern about the lack of clarity on how monetization will work for GPT store developers, who were initially attracted by the promise of an 'app store moment' with potential for monetization. The video suggests that this is an area to watch for future updates.

💡Integration

Integration, in the context of the video, refers to the process of incorporating new AI capabilities, such as those offered by GPT 40, into existing platforms and systems used by AI agencies. The script expresses concern about the potential long road to integration, as current platforms may lag behind the technology provided by OpenAI, making it challenging to deliver the full benefits of GPT 40 to end-users.

💡Consumer Behavior

Consumer behavior in the video script refers to the preferences, tastes, and actions of end-users when interacting with AI technologies. The video suggests that while technology advances rapidly, consumer behavior changes more slowly, which could pose a challenge for AI agencies trying to sell new solutions based on GPT 40's capabilities.

💡Image and Video Difficulties

Image and video difficulties refer to the challenges associated with building reliable and predictable AI systems that can handle complex inputs like images and videos. The script discusses the increased complexity that these types of inputs bring to AI systems, which could be problematic for agencies trying to integrate GPT 40's multimodal capabilities into their offerings.

💡Intelligence Plateau

The intelligence plateau refers to the idea that the improvements in AI capabilities may be reaching a point of diminishing returns, where further increases in data or model size do not lead to significant gains in intelligence. The script presents evidence from a research paper suggesting that generative AI may be experiencing this plateau, which has implications for the future of AI advancements and the strategies of AI agencies.

Highlights

Introduction of GPT 40, Open AI's new flagship model, which can process text, audio, image, and video inputs, and output text, audio, and image.

Release of the new chat GPT desktop app, currently available for Mac users.

GPT 40 is now available to free users, opening the GPT store to over 100 million users.

No information on GPT store monetization has been provided yet.

New modalities open up numerous solution opportunities with different types of inputs and outputs.

Workflow simplification with fewer APIs needed for various functionalities.

Potential decrease in costs due to reduced reliance on multiple APIs.

Voice AI systems and providers are expected to benefit from GPT 40's audio capabilities.

GPT 40 APIs are twice as fast and 50% cheaper than GPT 3.5 Turbo.

GPT 40 can handle over 50 different languages, covering 97% of the spoken world.

Token usage is decreased with the new token compression method in GPT 40.

Concerns about the long road to integration with current platforms lagging behind Open AI's technology.

Lagging consumer behavior may slow down the adoption of new AI functionalities.

Technical challenges with building systems around complex inputs like image and video.

Potential plateau in intelligence levels of generative AI models.

Research suggests diminishing returns as model size and data increase.

Opportunity for the AI agency space to solidify solutions and identify use cases before the next wave of advancements.

Transcripts

hey guys Le Motley here and today I've

got a video breaking down the GPT 40

release uh the reason for the spring

update from open AI there's some good

things and there's some bad things for

the AI agency space I wanted to jump on

here and give my thoughts now that I've

had a few days to Stew it and really

think about what the implications are

for us so GPT 40 the good and the bad

for AI agencies of course what's new if

you've been living under a rock we've

had the open AI spring update recently

and they released a bunch of things but

mainly uh the new flagship model GPT 40

um o meaning Omni and this is a step

towards much more natural human and

computer interaction according to open

aai on their blog post so that's taking

in inputs of text audio image and video

and it's able to output and text audio

and image so massive new capabilities

that we've kind of been cobbling

together using different services and

we've had whisper and we've had these

other services that allow us to get this

kind of functionality anyway but they've

just pulled it all into one and allowed

the model to understand not only text

input but also audio and video and

stream it all into one input as well so

very exciting stuff um I was hoping for

GPD 4.5 or gpg 5 um but as we'll see

later in this video there's some

ramifications of what this incremental

Improvement might mean for this bace um

but I'll save that for a little later so

there's also other stuff of the new chat

GPT desktop app which is cool I've just

been able to get it downloaded I think I

need to update with Mac as many of you

guys will as well I think it's only

available for Mac uh for the time being

um and GPT 40 is now available to free

users um not just plus subscribers and

therefore the GPT store is open to over

a 100 million users so if you guys are

interested in uh jumping on gpts I know

I've made a video before that I think a

lot of you found my Channel Through the

GPT store is now available to 100

million users or more um which is great

great news for you if you're hoping to

be a GPT developer um we have yet to see

anything about the monetization of gpts

so I'd be curious to see what they have

in store for that cuz that's kind of

they attracted us all they honey potted

us into this gpts uh and building gpts

on the store thinking it's going to be

an app store moment saying yeah

monetization this monetization that um

and we haven't seen seen anything of at

least I have haven't seen anything about

about the gbt store monetization so

other stuff I don't think it's that

relevant for us as as AI agency owners

okay I want to start off with the good

points first then we'll get on to the

bad a little later um here's Sam Alman

counting up all the all the money he's

making from these recent updates um

firstly new modalities it is a good

advancement we are getting a ton of new

solution opportunities opening up for us

as we're able to take in different types

of inputs from our end users and then

give them different types of outputs

back and really there's there's it's not

a massive Leap Forward cuz we've been

able to do this one of the examples on

screen that openai has provided shows

them asking a question and then

providing an audio file as part of the

input and then it's able to answer

questions and reason off the back of

that as well but prior to that it's not

we were able to do that with

transcription anyway we just transcribe

it and then put it into the give it to

the model to to reason over so not a

massive leap we've been able to do a lot

of these things but really what it is is

just a simplification of our workflow

and of the systems we need to build for

our clients um less fiddling around with

multiple different apis which is easier

to get the results that we want for our

clients and I think this is great for

many of you who are not so technically

inclined and I know a lot of you have

been brought into this opportunity and

still struggle with some of the

technical parts of it but it's a clear

Trend that we're seeing towards this

simplification but there's still a level

of complexity of how can this actually

be implemented into the business so

you're getting easier to do um but you

still you're getting more power

essentially in your hands that you can

provide to your clients as well and

because we're going to be using fewer

apis this is probably going to decrease

our cost as well because we're not

having to use transcription and then

generate an answer and then use text to

speech if we're using these kind of

systems which we'll get on to next which

I think is pretty exciting The Voice AI

systems and providers I think are going

to win big here um because once audio

inputs and outputs become available via

the GPT 40 API the response times can be

reduced by up to 60% um based off the

numbers that open AI is provided which

is between 200 and 300 milliseconds for

responses at least that's what we saw of

the chat GPT in the demo and as you can

see here on platforms like vapy um even

on the fastest and lowest intelligence

model uh we've got a 650 millisecond

response time and this is purely because

they're having to stack up so many

models that when your voice comes in

over the phone they have to transcribe

that then they have to generate an

answer and text and then they need to

turn that text into speech and then they

need to send it off to you as well so

this 650 millisecond latency which was

fine it was fast enough we're now going

to get a potentially 60% reduction of

that as well so I think soon as these

guys are able to access vapy and and

Bland Etc are able to access GPT 40 via

API and send and receive audio inputs

and outputs um we could see a a

continued boom of the voice AI space

which is something I've been talking

about a lot on the channel here if you

guys are just starting with your AI

agency you know looking for a good place

to start or specialize in then voice AI

is a great place to look into next we

have a quick win for us as AI agency

owners which is GPT 40 apis being twice

as fast and 50% cheaper than GPT 4 Turbo

it's always great on these big updates

from open AI cuz we can kind of expect

these reductions um and it's good to see

that they're continuing to do this over

time so we can expect it in future and

an interesting thing to point out is

that we're getting much closer to this

GPT 3.5 Turbo cost which is is basically

free this thing is so cheap it's it

barely cost you a dime to do anything um

but here we can see that we've got input

of $5 and 50 for gbt 3.5 turbo so it's

just a 10x price difference considering

the the massive increase in intelligence

and and modalities that we're going to

get from GPT 40 you can't not be happy

with that outcome next we have another

quick win for us as AI agency owners

which might have slipped under the radar

for you a little bit better language

support for GPT 40 that can handle over

50 different languages now covering 97%

of the spoken world and it's also going

to decrease a token usage as you can see

here the new token compression method is

actually reducing the amount of tokens

for some of these languages as you can

see now this may not seem like a major

but this is a question I get all the

time my accelerator and on my free

community q&as which is should I be

selling local or should I be trying to

sell in the US or should I be trying to

sell in Europe it's mainly people

interested in selling in the US um and

my answer is always no ideally Go Local

um if you're if you're from South

America and you're trying to go over to

the United States and start selling

there you're at a natural disadvantage

just by purely being outside of the

country you might sound a little

different over the phone um you might

have a name that doesn't necessarily

ring like you're you could be someone's

neighbor um and there's nothing wrong

with that but it's just the the cold

heart facts of it's going to be harder

for you you're playing at some kind of

disadvantage or debuff versus someone

who is is John Smith who lives next door

you know if you're in for example the

Spanish speaking world I'm sure you've

already had Fairly good responses and

and good translation capabilities from

GPT uh but it's really the smaller areas

and these smaller languages that up

until now haven't really had the support

now you can be the first person into

those markets so if you live somewhere

that you thought oh no one's ever going

to be able use this in my language or I

shouldn't bother selling local now is

your chance to be the first guy or the

first girl in that market to go and

start selling these Solutions and you

might say that oh but they don't they're

not interested in AI don't try to sell

it as AI then just sell it as a

meaningful difference in their business

and now getting into the bad and we may

have the rise of e girlfriends sooner or

later um but that's not what I want to

go into here um it's actually the long

road to integration that's the first

thing that I'm kind of concerned about

here um and and by that what I mean is

these new modalities and text and audio

and video and image and all this stuff

is cool but it's it it doesn't mean

anything to us as AI agency owners until

we're able to get that to our in

customer with all these platforms that

we use like make.com and voiceflow um

and sending things to WhatsApp and the

different solutions we build they are

lagging far behind the technology that

open AI is providing it really is an

issue of trying to get the stuff in the

hands and making it useful for our end

users um but until these platforms catch

up and and allow support for the

customers concerned voice notes and they

can send photos and and say voice flow

allows you to send photos through your

web chat widget which I'm not sure why

and more so for things like WhatsApp

deployments for your your AI agents um

being able to send voice notes to the

customers and receive it from them and

send pictures and get them back um

that's I think a long way off and I'm

looking forward to seeing how they allow

us to build these different modalities

into our systems that we sell even for

my own platform agentive we now have

this question of do we want to integrate

audio and video and image and all these

different things into our application

and into our platform or do we want to

just stick with text base and I think

this is a conversation many of these

platforms are going to be having um it's

interesting to see how they play out and

moving on from that to something closely

related is the lagging consumer Behavior

now we can have technology that moves

ahead very fast and and early adopters

kind of catch up if you've seen my uh my

technology adoption curve video which

I'll put up here somewhere while

technology can race ahead the actual

tastes and preferences and and behaviors

of the the consumer populace take a lot

longer to adjust and e-commerce is an

example of this where it took a long

time for people to become comfortable

with putting the credit card online and

now we do it like the thought of putting

a credit card and giving it to some some

random website was ludicrous back in if

you go back far enough it was a

completely silly idea and over time it

took like decades for them to get to the

point where it's okay yeah now now we

all buy stuff online this is the same

sort of thing with with AI and I think

we're going to run into this GPT and and

chat GPT may help with people getting

used to speaking to these AI assistants

and having conversations um but I think

there's still a considerable lag in the

actual consumer behaviors where if we're

trying to sell these Solutions do our

end customers actually want to be

sending voice notes to WhatsApp do they

want to be sending pictures and and

giving videos to them and personally if

historical preceden are anything to go

off I'm not betting on this thing moving

too fast next we have more of a

technical one that I think could be an

issue which is the image and video

difficulties that come along with

Building Systems around much more

complex and varied inputs like text

image and audio um in this example here

you might have watched my prompt

engineering video where I I highlighted

the difference between conversational

prompting and single shot prompting I'll

put the video up there if you haven't

watched it highly recommend it's very

important for you to know how to do

prompt engineering and it's not your

regular video it's very very different

we had some really good feedback on that

there conversational prompting and then

there single shot prompting for us as AI

agencies in many cases we're working in

this single shot range where we need to

engineer The Prompt and engineer the

system to be reliable and predictable

and continue to give the same outputs

over and over and over again um so that

they can actually be built into a

company and operate as a a artificial

intelligence task that plugged into

their systems and doing that with text

only proves to be difficult enough as

I'm sure some of you have found out but

now we introduce a whole another layer

of complexity of images and videos so

imagine this example here of of an email

classification system where there's a

user and they fill out a contact form we

get an email then we use prompt the GPT

task on something like make.com to

Output a label now imagine this instead

of it being an email input it was a

video from a customer or it was a was a

photo of a of a damaged good that they

got from from an e-commerce store

there's so much more complexity in that

than okay I can understand text but this

is okay what's wrong with with the

product from my own experience with

vision models they are nowhere near good

enough to be able to be baked into these

kind of systems and be able to reliably

perform so that's that's another concern

that I have um for this new multimodal

and Omni Channel or Omni model future

that they're going for and finally what

might seem very concerning to some of

you is this plateau and intelligence um

here's the model evaluation from open

ai's blog post on the GPT 4 release and

you can see the pink bars here a GPT 40

and it's about the it's about the same

and it's not a massive Improvement you

know it's it's very incremental look

we're just edging up above gp4 turbo uh

in most of these categories and yes this

is a text evaluation I get that and

they're really focused on being audio

and video and things like this to give

them credit if you go through these

other tabs on the website I will leave a

link to the blog down below um you can

see that in uh in these audio and video

different tests they are outperforming

the the prim models and we are seeing

much larger increases in capability and

and intelligence but when it comes to

the scores on the text evaluation which

is what we typically determine as the

the level of intelligence for getting

questions right and reasoning things

like this which is really crucial to the

systems that we currently build we're

plateauing um and we're seeing

incremental improvements and this opens

up to a much broader discussion about

the state of generative Ai and and where

the future's going to go and here's a

look at the multilingual performance so

you can see GPT 40 is better with

different languages sure but again it

looks fairly incremental it's not like

this massive Leap Forward in

intelligence um this idea that

generative AI may be plateauing or we're

reaching some kind of upper upper limit

has been to some degree corroborated or

or confirmed by re research paper and

while this may look crazy on screen I

I'll explain it basically um they have

found that as they continue to increase

the size and the amount of data that

they train models on they seeing a a

diminishing return um which may sound

awful but give me a second to explain so

I've actually a great video breaking

this down is from I think they're called

computer file I'll leave a link down

below and as you can see on screen here

there's three scenarios of generative Ai

and and artificial intelligence and with

these language models and the transform

architecture they have three different

scenarios say the one is the most

exciting where as we continue to say on

these on these axises sorry we have the

number of examples in the training data

set and then we have the performance or

the Intelligence on the y- axis and in

the first case if we continue to

increase the number of examples in the

training data set we get this

exponential curve as you can see here of

it's just runaway general intelligence

and things get so much smarter and we

put in a little bit more data and it

gets way smarter then there's a more

balanced or conservative one which is a

a a linear relationship where more

examples more data equals better

performance and and greater intelligence

but what they are starting to see as you

can see from from this graph here is a

potential uh worst case maybe not worst

case but not the greatest case outcome

um based off the evidence of this paper

where we are seeing a flattening curve

and as we continue to increase the

examples it's flattening off and we're

not getting any kind of meaningful

increase on intelligence this is a

little summary from that research paper

which is there is a clear log linear

trend for the models to get

incrementally better at handling a

concept that concept needs to appear

exponentially more times in the training

data this shows the models are very data

inefficient which may sound concerning

to you as someone who's just bit their

whole life on this AI space and

continued advancements um and I guess

the question is has generative AI peaked

um and I think this is an important one

to ask but personally I'm betting on

this being a temporary Plateau where the

architecture and the Transformer that we

currently use is kind of maxing out and

and we've pushed as far as we can we've

got great capabilities we have an

awesome set of new technology to use and

Implement into businesses um and we've

just attracted the entire every smart

brain on the planet has has flooded into

the space as as you are here watching

this video interested in the space and

we have the greatest researchers in

Minds all going into it humans are not

done with artificial intelligence by no

by any means we're not just going to go

oh well well we've got the missing

returns right I'm out like okay I guess

we can't get any smarter than that so

that's complete rubbish so we're going

to continue to keep pushing and just

like the transformer architecture

blasted open the scene for us to be able

to get to this point um when GPT 3

released we're going to continue to see

people innovate and try to create

smarter architectures that are more

efficient on training with that data so

we could be looking at a a little

Plateau a nice little bit of room to

catch our breath and and I honestly

think that that is going to be very very

good for the space as the AAA and the AI

automation agency space as a whole

because if if the the tech keep kept

taking off and it just got better and

better and better and every 6 months we

had whole bunch of new stuff to try and

adapt to with we don't ever get a chance

to really catch our breath and solidify

our solution so this is something that

I've I've been kind of excited for to

some degree where I get questions on the

channel which is oh but like what if

what if the like why why do they need

our Solutions why would they ever need

to use us if if the thing just going to

get so good that suddenly they can type

one word and then it just automates

their whole business that that is a a

very low percentage outcome like in

terms of probability and if this is

anything to go by we're not going to get

there anytime soon so we have a chance

now to say okay yes people have dropped

out of the space they've gone off

they've chased other other shiny objects

we now have a chance to really work on

our craft really work on identifying

these use cases and going into

businesses and finding ways that AI can

help them and we get a nice Runway now

before things take off again to dial in

our services to get experience and to

continue to push ourselves further and

further away from The Spectators who sit

there and watch AI news to the people

who are actually taking action like you

and I I hope they give you a little bit

more clarity about what this update

means for us as AI agency owners I do

not like being an AI News Channel but

when there's big updat from open AI um

it is worthwhile coming in here and

hopefully giving you guys a bit of

insight into what this means for us if

you have enjoyed the video hit down

below and leave a like um subscribe to

the channel if you're not already uh for

more content like this teaching you how

to make money and build businesses in

the AI space if you're interested in

seeing what my life day to-day is like

here in Dubai as an AI agency own it you

can check out my recent video here um

showing you the RO reality of my life as

an AI entrepreneur but aside from that

guys thank you so much for watching and

I'll see you in the next one