Microsoft Reveals SECRET NEW MODEL | GPT-5 DELAYED | Sam Altman speaks out against "Doomers"

Summary

The transcript discusses the energy efficiency and societal impact of AI, emphasizing the importance of continued innovation and development in the field. It highlights Microsoft's new AI model, 'my1', which is set to compete with existing models from OpenAI and Google. The speaker also touches on the potential of AI to create a more prosperous and abundant future, countering the notion that technological advancement is inherently negative. Additionally, the script covers various AI initiatives, including Microsoft's investment in OpenAI, the development of on-device AI capabilities by Apple, and the ethical considerations surrounding AI training and content usage. The summary concludes with an invitation to join a private community focused on leveraging AI for growth and productivity, reflecting the belief that harnessing AI is not just beneficial but a moral imperative.

Takeaways

• 🚗 **Energy Efficiency in AI**: The script discusses the energy efficiency of AI compared to traditional methods, like driving for information, highlighting that AI is a net saver in terms of energy consumption.
• 💡 **Progress in AI**: There's an emphasis on the continuous improvement in AI algorithms and hardware, including the potential for breakthroughs like fusion power to sustain advancements.
• 🌱 **Fighting Pessimism**: The speaker encourages a proactive stance against pessimism regarding the future, advocating for a mission to promote prosperity and abundance through technology.
• 🤖 **Microsoft's AI Development**: Microsoft is developing its own AI model, referred to as 'my1', which is expected to be larger and potentially more powerful than previous models, indicating a shift from reliance on OpenAI.
• 🔍 **OpenAI's Strategy**: OpenAI is considering postponing announcements and focusing on improving its models, including releases like 'I'm a good gpt2 chatbot', which is stronger in reasoning.
• 📚 **Educational Outreach**: Sam Altman, CEO of OpenAI, has been visiting universities to discuss AI and the future, promoting a vision of a brighter future enabled by technology.
• 🤝 **API Partnerships**: OpenAI has entered into an API partnership with Stack Overflow, aiming to enhance model performance for developers and create a mutually beneficial relationship.
• 📈 **Content Creator Rights**: OpenAI is introducing a 'media manager' to respect content owner preferences on AI training, similar to the 'robots.txt' for web publishers.
• 🛡️ **Cybersecurity Focus**: There's a significant focus on bolstering cybersecurity, with investments in AI for cyber defense and hiring specialists to address vulnerabilities that AI might introduce.
• 📱 **Apple's AI Integration**: Apple is planning to integrate more AI capabilities into iOS, with on-device functionalities for text summarization and smarter search results, indicating a move towards privacy-centric AI solutions.
• 💌 **Internal Perspectives on AI**: An internal email from Microsoft reflects on the company's initial underestimation of AI's potential and the subsequent push to catch up, highlighting the transformative impact of AI on infrastructure and business models.

Q & A

What is the main concern raised about the energy consumption of AI and computing?

The main concern is that despite the significant energy consumption of AI and computing, it is often compared unfavorably to the energy used for transportation. However, the speaker argues that the energy used for AI and computing has led to a net savings when considering the energy that would have been spent on traditional methods of obtaining information.

What is the speaker's opinion on the importance of developing more efficient AI algorithms and chips?

The speaker believes that developing more efficient AI algorithms and chips is crucial. They mention that as technology advances, we will continue to find ways to make these systems more energy-efficient, possibly even utilizing fusion as a power source in the future.

What does the speaker suggest about the attitude of some people towards technological progress?

The speaker suggests that there is a 'doom and gloom' attitude among some people who believe that the world's problems are insurmountable and that efforts to solve them are futile. They encourage fighting against this negative mindset and advocate for a more proactive and optimistic approach.

What is the significance of Microsoft's new AI model, referred to as 'my1'?

The significance of Microsoft's new AI model, 'my1', is that it represents a step towards creating larger, more powerful AI models that could potentially exceed the capabilities of current models like GPT-4. This model is part of Microsoft's strategy to develop both small, efficient language models for mobile devices and large, state-of-the-art AI models.

How does the speaker view the potential impact of AI on society?

The speaker views the potential impact of AI on society as overwhelmingly positive. They believe that AI can drive a better future by creating abundance, intelligence, and longevity, which expands our options and is a moral imperative.

What is the current state of Microsoft's involvement with AI?

Microsoft is actively involved in the AI space, having invested in OpenAI and now developing its own large language model. They are also focusing on creating small, efficient models for mobile devices and larger models for more complex tasks.

What is the speaker's perspective on the criticism of AI for its carbon footprint and potential biases?

The speaker acknowledges the criticisms but argues that they are not reasons to halt progress. They believe that over time, significant progress has been made in addressing both the carbon footprint and bias in AI, and that this trend will continue.

What is the role of OpenAI in the development of AI?

OpenAI plays a significant role in the development of AI by training frontier-defining models using supercomputers provided by partners like Microsoft. They are also involved in various initiatives to address concerns about data usage, content creation, and cybersecurity.

How does the speaker perceive the future of AI and its impact on productivity and e-commerce?

The speaker is very optimistic about the future of AI and its potential to improve productivity and revolutionize e-commerce. They are particularly interested in leveraging AI to automate tasks and enhance decision-making in these sectors.

What is the speaker's view on the importance of community and collaboration in the field of AI?

The speaker highly values community and collaboration, having created a private forum for discussing AI advancements and sharing knowledge. They believe that a community focused on learning and growth can be a valuable resource in staying at the forefront of AI developments.

What are the speaker's thoughts on the potential of AI to address cybersecurity concerns?

The speaker acknowledges the increased liability for cyber attacks due to AI but also sees it as a tool for improving cybersecurity. They mention the use of AI for cyber defense, audits, and compliance programs, suggesting that AI can be a powerful asset in safeguarding against cyber threats.

Outlines

00:00

🚀 Energy Efficiency and AI's Future Impact

The first paragraph discusses the energy consumption of AI and computing, comparing it to the carbon footprint of traditional transportation. It argues against the notion that AI is environmentally harmful, highlighting the potential for more efficient algorithms and technologies like fusion power. The speaker emphasizes the importance of combating pessimism and advocating for technological progress to improve society. The paragraph also touches on Microsoft's development of a new AI model, 'my1,' overseen by Mustafa Suliman, and the potential for it to compete with existing models like GPT-4.

05:01

🤖 AI Developments and Content Ownership

This paragraph covers various AI-related news, including the advancements in AI models by OpenAI and the introduction of a new, stronger GPT2 chatbot. It discusses OpenAI's partnership with Stack Overflow to improve model performance for developers and the potential impact on platforms like Stack Overflow. The paragraph also addresses concerns about content ownership and copyright, mentioning OpenAI's new media manager and its approach to respecting creators' choices regarding the use of their content in AI training.

10:04

🌐 Cybersecurity and AI's Role in Data Sensitivity

The third paragraph delves into the increased dangers posed by AI in terms of cybersecurity. It discusses how seemingly harmless data can become risky when processed by AI, highlighting a tool called GEOS Spy that uses AI to determine locations from images with remarkable accuracy. The paragraph also includes insights from Kevin Scott, Microsoft's CTO, about the company's investment in AI and the importance of building powerful supercomputers for training AI models.

15:04

📈 Microsoft's AI Strategy and Market Position

This section outlines Microsoft's strategy in the AI market, discussing the company's development of its own large language model and its potential to surpass current leaders like OpenAI, Google, and Meta. It explores the commercial viability of AI models and how companies like Microsoft, with its Azure platform, may have a more straightforward path to monetizing AI. The paragraph also reflects on Bill Gates's and Microsoft's historical positioning in technology waves and their recent efforts to catch up in the AI sector.

20:05

💡 Building a Community for AI Growth and Learning

The final paragraph is a call to action for building a community focused on AI growth and learning. The speaker, Wes, invites viewers to join a private forum aimed at discussing AI, sharing ideas, and learning from one another. He emphasizes the importance of not missing out on the AI revolution and positions the community as a valuable resource for those looking to stay on the cutting edge of AI technology.

Keywords

💡Compute

Compute refers to the act of performing calculations or processing data. In the context of the video, it is used to compare the energy consumption of Google's data centers to the carbon footprint of people driving to access information. This comparison is part of a discussion on the environmental impact of AI and technology.

💡AI Efficiency

AI efficiency pertains to the effectiveness and resource optimization in the development and operation of artificial intelligence systems. The video discusses the need for more efficient algorithms and chips to reduce the energy consumption of AI, highlighting the importance of innovation in sustainable technology.

💡Fusion

Fusion, in the context of the video, refers to nuclear fusion, a potential future energy source that could provide abundant, clean power. It is mentioned as a possible solution for powering AI systems in a more sustainable way.

💡AI Bias

AI bias refers to the unfairness or prejudice that can be inadvertently built into AI systems due to the data they are trained on or the algorithms they use. The video acknowledges the need to address bias in AI, which is important for ethical and equitable technology development.

💡Microsoft's AI Model

Microsoft's AI model, referred to as 'my1' in the transcript, is a new, large-scale AI model being developed by Microsoft to compete with existing models from OpenAI and Google. The video discusses the potential scale and capabilities of this model, emphasizing Microsoft's strategic move in the AI space.

💡Open Source

Open source describes a type of software where the source code is made available to the public, allowing anyone to view, use, modify, and distribute it. The video mentions Microsoft creating effective small models and the potential for their new AI model to be open source, which would allow for community collaboration and innovation.

💡Synthetic Data

Synthetic data refers to data that is generated using artificial means, such as through AI models, rather than collected from real-world observations. The video discusses the use of synthetic data to train efficient AI models, which can lead to advancements in AI without the need for large amounts of real-world data.

💡Stack Overflow API

The Stack Overflow API is a set of programming tools that allows developers to access and interact with the data on the Stack Overflow platform. The video talks about an API partnership between OpenAI and Stack Overflow, which aims to improve AI model performance for developers and enhance the development of Overflow AI.

💡Content Providence

Content Providence, as mentioned in the video, likely refers to content provenance, which is the practice of tracing the origins and ownership of digital content. This is particularly relevant in the context of AI models that generate content, as it involves respecting copyright and creator rights.

💡Cybersecurity

Cybersecurity involves the protection of internet-connected systems, including hardware, software, and data, from attack, damage, or unauthorized access. The video discusses the increased liability for cyber attacks in the age of AI, highlighting the need for robust security measures to safeguard against potential vulnerabilities.

💡On-Device AI

On-device AI refers to AI processing that occurs on a user's device, such as a smartphone or computer, rather than on remote servers or in the cloud. The video mentions Apple's focus on on-device AI for features like text summarization and smarter search results, emphasizing the importance of privacy and speed.

Highlights

The comparison of Google's computational energy usage to the carbon footprint of traditional information seeking methods highlights a net energy savings with AI.

The importance of developing more efficient algorithms and chips to reduce energy consumption in AI.

The potential of fusion power to sustainably fuel future AI advancements.

Addressing the negativity and hopelessness some feel about the world's problems, advocating for a proactive and solution-oriented mindset.

Microsoft's development of a new AI model, internally called 'May one', to compete with OpenAI, Google, and others.

Mustafa Suliman, former Google AI leader, overseeing Microsoft's new AI model, indicating a strategic move in AI development.

Microsoft's pursuit of dual AI strategies: small, efficient language models for mobile apps and large, state-of-the-art models.

The speculation that Microsoft might not need OpenAI and could potentially reveal a new model at the Build Developer Conference.

OpenAI's potential postponement of a new announcement, suggesting strategic adjustments in the competitive AI landscape.

Sam Altman's visits to universities to discuss AI and the future, facing opposition from those skeptical of a technology-driven prosperous future.

OpenAI's release of two new models in the LM system, showcasing advancements in reasoning and capabilities.

OpenAI's domain change from 'chat.openai' to 'chatgpt', reflecting a rebranding or strategic shift.

OpenAI's API partnership with Stack Overflow, aiming to improve model performance for developers and create a mutually beneficial collaboration.

OpenAI's introduction of a media manager for creators and content owners, respecting content usage preferences in AI training.

The discussion of a potential 'robots.txt' equivalent for AI, allowing publishers to opt-in or out of content usage for training AI models.

OpenAI's efforts to address cybersecurity concerns by investing in infrastructure security, AI for cyber defense, and hiring specialized personnel.

The demonstration of AI's evolving capabilities, such as GEOS spy's ability to determine precise locations from images, indicating increased potential for data aggregation and analysis.

Apple's plans for AI integration in iOS 18, focusing on on-device processing for text summarization, smarter search results, and other features.

Kevin Scott's email to Satya Nadella and Bill Gates, detailing the strategic importance of investing in AI and the potential benefits of partnerships like Microsoft's with OpenAI.

The potential for Microsoft's large language model to surpass current models like GPT-4, indicating a shift in the AI competition landscape.

The discussion on the most straightforward path to monetizing AI models, with Microsoft's Azure and product integrations being a strong contender.

Transcripts

yeah I read this thing about the compute

Google used once compared to the amount

of carbon that people used to spend

driving in their cars places to get

information and you know you have people

saying Google's so horrible we should

shut it down it's like spending El

energy and it's it intellectually a very

dishonest thing to say because it was a

net Savings in energy you know for like

AI yeah it's going to need a lot of

energy we're going to keep figuring out

way more efficient algorithms way more

efficient chips we're going to get

Fusion we're going to power the stuff

this way um so I think it is like

important to address this issue um but

we will in all of these fantastic

ways but I think this points to

something else which is the you know you

open asking about P doom and the level

of

dorismar our young people that the world

is totally screwed that it's hopeless to

try to solve problems that all we can do

is like sit in our bedrooms in the dark

and think about how awful we are is a

really deeply unproductive streak and I

hope MIT is different than a lot of

other college campuses I assume it is

but you all need to like make it part of

your life mission to fight against this

Prosperity abundance um you know a

better life next year a better life for

our children that is the only path

forward that is the only way to have a

functioning society and there will

always be people who want to sit around

and say we shouldn't do AI because we

may burn a little more carbon or we

shouldn't do AI because you know we

haven't fully addressed bias and it

turns out a couple years later we made a

lot of progress on both of those things

and the anti-progress streak the anti

like people deserve a great life streak

who are usually the people that have

quite a lot of privilege in the first

place um is something I hope you all

fight against

yeah there has been a ton of activity in

the AI space one of the big things to

drop is that Microsoft rolls out its

very own AI model to compete with open

AI Google and the rest the new model

internally referred to as May one that's

ma

ai-1 is being overseen by Mustafa

Suliman the ex Google AI leader who

recently took over as the CEO of

Microsoft AI I'm going to call it my one

not sure it's May one my1 whatever my1

will be far larger than any of these

smaller open source models that

Microsoft has previously trained it's

important to note that Microsoft created

some very effective small models so even

though my one will have roughly 500

billion parameters that is much smaller

something than something like GP 4 that

has more than 1 trillion parameters this

certainly does not mean that it will be

bad meta llama 3 of course the currently

biggest released model is 70 billion

parameters and that is on par with GPT 4

so Microsoft's new model could very well

exceed far exceed GPT 4 potentially we

we still don't know yet but it would not

be out of the room of possibility

they've been publishing a lot of

research on how to create new models by

taking

the outputs of other models so taking

synthetic data produced by other a

models and creating smaller but very

efficient models trained on synthetic

data warut 2 for example is a great

example of that so Microsoft is pursuing

a dual trajectory of sorts and AI aiming

to develop both small language models

that are inexpensive to build into Apps

that could run on mobile devices as well

as the larger state-of-the-art AI models

then looks like they're willing to chart

A New Path that's separate from from

open AI up this point we can assume that

open aai and Microsoft would be kind of

tied together their Fates interl but

this is implying that Microsoft just

does not need open Ai and we could

potentially see this new massive model

at the build developer conference later

this month now if you saw my previous

video we were all expecting that open AI

would have a new announcement coming up

sometime next week or this week about

something new that was dropping

potentially a search product something

that would compete directly with Google

as well as perplexity AI but right now

it does seem like they're considering

postponing that announcement we're not

too sure why now recently Sam Alman has

been visiting multiple universities and

other places to talk about Ai and the

future in general he visited Stanford

MIT Etc and it looks like some people

don't like this idea of a brighter

better future driven by technology s

posted this using technology to create

abundance intelligence energy longevity

whatever will not solve all problems

that will not magically make everyone

happy but it is an unequivocally great

thing to do and expands our option space

to me it feels like a moral imperative

which one thing I like about Sam is he

he's not afraid to say things that some

people might not like to hear Prosperity

is a good thing actually ddg growth and

then he says I'm a good gbt2 chatbot and

looks like opening ey just released two

new models in the LM system Arina last

night we have I'm a good gpt2 chatbot

and I am also a good gpt2 chatbot the

new one the also a good gpt2 seems to be

stronger in reasoning and is even more

capable than the previous gp2 chatbot

release last week also looks like

opening I changed the domain of Chad GPT

from chat. openai to just chat GPT and

just keep in mind as I'm going through

this this this is all in the span of

just a few days this is all like about

48 hours worth of news so there's this

flurry of activity on the open AI front

so we're not quite sure what's happening

are they preparing for this massive roll

out are they delaying it semon's m

making the tour across the country

talking to people I mean something's

bubbling up something's happening we're

not quite sure what but yet another

announcement is openi has an API

partnership with stack overflow stack

Overflow is the world's leading

knowledge platform for highly technical

content and they're partnering with the

large language models for AI development

so what exactly is happening well open

AI will utilize stack overflows overflow

API product and collaborate with stack

Overflow to improve model performance

for developers who use their products

and stack Overflow gets to use openai

models as part of their development of

overflow AI which of course sounds like

a win-win for both but some people are

suggesting that opening I might be

getting the better deal here cuz once

they have all the data and models that

are trained on all of this data as you

can imagine AI model that can code very

well would be very disruptive to

something like stack Overflow open AI

also post this our approach to data niai

and they're launching this interesting

thing they're calling a media manager

for creators and content owners and the

goal here is to respect the choices of

creators and content owners on AI of

course a lot of people have complained

that opening eye trains on everyone's

data things like mid Journey The Works

of artists to then replicate the art at

least that's their stance they're saying

that's goes against copyrights and

they're talking here about something

similar to the robots.txt which the

internet ecosystem sort of adopted for

web Publishers right so if you have a

website generally you're going to have a

robots.txt file and there you kind of

say do you want crabots like Google

crawlbot crawling your site and indexing

it to use in the search engines or do

you want to just opt out now of course

if you're running something online if

you're a publication if you're a new

site of course you want to opt in you

want the traffic from Google so most

people decide to opt in and here the

same ideas for open AI to enable

Publishers to express their preferences

about the use of their content in AI do

you want to use your content to train

this AI what's interesting to me here is

once they have something like this and

they have and they have people opting in

like let's say the New York Times who is

suing open a for copyright infringement

let's say they opt in or rather opt out

of having their data used openingi could

use that to just make sure that chbt

doesn't output anything that resembles

that data so if it starts producing a

paragraph that's very very similar those

outputs could be blocked which certainly

would reduce the liability for open AI

they are also introducing a new

classifier to help researchers identify

content created by Dolly 3 and joining

the Coalition for Content Providence and

authenticity so again a lot of this is

seemingly in response to a lot of the

criticisms that they've had for using

content or creating things where we

don't know what's real or what's not and

this is their answer to various cyber

security concerns and this is a beefy

blog post that goes pretty deep into how

certify various portions of the

infrastructure for security including

gpus making sure they're authentic

testing them for integrity testing

networks data centers using AI for cyber

defense as well as AI specific audit and

compliance program and their building

and investing to achieve these goals and

hiring people to work towards those ends

they have a grand program as well as

hiring people for certain roles in that

field a few weeks ago we covered a

presentation by one of the C eia ex

directors I believe saying that AI has

really increased the liability for cyber

attacks the various vulnerabilities that

we might have for cyber attacks not just

because the ability to conduct those

cyber attacks is growing with the help

of AI but also and this is an

interesting thing to think about that's

not very obvious but back in the day you

might have a bunch of random data out

there on the internet without having to

worry too much about it but now with AI

a lot of Fairly harmless things that we

would put out there in the past has

become a lot more dangerous we covered

this post by Andrew gal who used GEOS

spy this brand new tool using AI That's

able to determine where in the world you

are just by looking at a picture it's

able to guess that this is Slovenia and

the specific church that you're looking

at this it guessed as being next to

Mountain View Campground and it's

correct to within 15 miles notice

there's no landmarks or anything to

really identify this there's no text no

road signs not too much information here

it gets this location in Germany within

40 Mi uh picture in Germany so this it

was 4 hours off but still if you look at

the picture there just isn't that much

to go on here it's just a field of grass

figured out this was Singapore Etc and

many many more but as we put more and

more information online that information

can be aggregated fed into neural

networks into Ai and potentially it

would be able to come up with certain

insights that could be used to conduct

maybe attacks or scams or whatever other

nefarious activity that even 5 years ago

we didn't think about it because it was

impossible meanwhile looks like we have

some more leaks about Apple Ai and what

apple is planning to do with AI in the

future kind of upgrades are heading to

the iOS 18 and key features include AI

power text summerization across Safari

and Siri smarter search results Etc so

the big thing here is that a lot of this

will be on device right so Ajax will be

able to generate responses to some

prompts entirely on Apple devices

without sending anything to the cloud

we've covered a few research papers

posted by Apple they're really going

hard after on device agents they're

building these tiny Nano models these

very small AI models that are some

fraction of 1% % of what GPT 4 is for

example that are able to interact the

screen that are able to understand the

context if you say select the second

website on the screen it'll be able to

kind of figure out based on the location

on the screen what you're referring to

so kind of that context of what you're

talking about and everything because

it's so tiny will be able to run quickly

and on device and then there's this this

little email that we have access to

called thoughts on open AI so this is

from Kevin Scott this is Ken Scott you

probably have seen his face before he's

the chief technology officer at

Microsoft and he's writing to sich Nela

the CEO and Bill Gates the the the Bill

Gates I don't think he even needs a

title he's just Bill Gates and he saying

the thing that's interesting about what

open Ai and deep mind and Google brain

are doing is the scale of their ambition

and how that ambition is driving

everything from data center design to

computer silicon to networks and

distributed system architectures and all

this other stuff but he's saying that in

the beginning it seemed like all these

people were just trying to play this

game to see which reinforcement learning

system could achieve the most impressive

game playing stunt he kind of dismissed

all those efforts now he's saying well

that was a mistake when they took all of

that infrastructure to build NLP models

that we couldn't easily replicate so he

was dismissing their little games but

then they built something that made him

realize that we're falling behind we

can't replicate what they're doing then

he started to take things more seriously

and as I dug into try to understand

where all of the capability gaps were

between Google and us for model training

I got very very

worried turns out just replicating Bert

large wasn't easy to do for us so this

is one of the earlier Google models even

though we had the template for the model

it took us around 6 months to get the

model trained because our infrastructure

wasn't up to the task there were many

years behind the competition in terms of

machine learning scale sa comes back and

says a very good email that explains why

I want us to do this and also why we

will then ensure our infra folks execute

very interesting style of writing it's

very compressed so this document is from

us V Google in

2024 and so here's Kevin Scott the

person that wrote that original email

responding I think he's responding in

part to those emails and the news

stories about this he's saying I'm not

sure why this is news but just to

summarize the obvious we build big

supercomputers to train AI models our

partner open AI uses these

supercomputers to train Frontier

defining models and then we both make

these models available in products and

services so that lots of people can

benefit from them we rather like this

Arrangement smiley face we've been added

for almost 5 years now each

supercomputer with build for open AI is

a lot bigger than the one that preceded

it and each Frontier Model they train is

a lot more powerful than its

predecessors we will continue to be on

this path building increasingly powerful

supercomputer for open AI to train the

models that will set pace for the whole

field well into the future there's no

end in sight to the increasing impact

that our work together will have and

he's saying they'll be building their

own models and adding them into products

and there will be more of this going on

in the future too some of these models

have names like Turing and my some like

fi for example we even open source so

that letter thoughts on open aai was

sent just weeks before Microsoft

announced its 1 billion investment in

openai and now about 5 years later

Microsoft is building its own large

language model which assuming it's more

efficient than GPT 4 which a lot of

these new models are they're very

effective even though they have less

parameters we could potentially see

Microsoft supersede open Ai and Google

and meta and correct me if wrong here

but out of those other AI companies open

AI meta Google Microsoft seems like it

has the most straightforward path to

making money with these AI models Google

search engine we're still not sure how

that cash cow for Google how it's going

to intersect with AI is AI going to

diminish how much search we do it

certainly seems like that could be the

case meta initially started using AI

just for their internal purposes for for

WhatsApp and Facebook and insta just to

improve functionality they're not

necessarily selling those Services

Microsoft with all of their products

with Azure seem to be like the most

straightforward Revenue generating

company when it comes to having their

own AI model again correct me if I'm

wrong am I missing something it's

interesting to see kind of the Arc of

Bill Gates who rode the personal

computer wave kind of missed out a

little bit on some of the internet

Revolution certainly other businesses

took much more advantage of though of

that maybe missed out a little bit on

the mobile Revolution right the top

phones are Android and Apple Microsoft

phones maybe not so much and looks like

they were really falling behind in AI 2

until five years ago Kevin Sai and Bill

all got on a horn and said hey let's

throw a few billion at this Sam Altman

character and yeah let's see how well

that bet will be paying off I feel like

that may be the highest Roi investment

Microsoft has ever had and if you've

made this far then you might be

interested in this and yes this is a

product pitch so feel free to tune out

but if you've been following this

channel for a while you know that I am

really interested in building these AI

agents in building Automation in

learning how to wield V various AI tools

and AI capabilities to improve my

productivity to improve my ability to

have impact I mentioned before that I've

been in e-commerce for the last 10 plus

years so certainly using AI to help me

run various Ecom businesses and help

other people in that field I'm very

interested in that as well as

productivity as well as things like this

this channel where I talk about Ai and

try to teach Ai and how to use it so

this forum is just a few days old and

we're already approaching a thousand

members hopefully we'll cross into a th

in the next couple of days and the

overall sense that I'm getting from

people in The Forum is that most of us

see that there's big things coming and

we don't want to miss it we want to be

on the bleeding edge of AI we don't want

to look back on this you know in 5 to 10

years and go whoops we missed it

certainly I know if I did that I would

feel pretty foolish I'm very fortunate

that this channel is watched by and

listened to by many incredible smart

very highlevel people and for a long

time time people in the comments have

been asking me to organize something

like this so that we can all get

together and discuss and form ideas and

network and think over this stuff

together a mastermind group if you will

and I've attempted a few things and I've

kind of took my time of some of this

stuff unfortunately but but no more here

it is it's live it's working the

discussions are popping off I'm rapidly

releasing tutorials on how to build AI

agents on how to use the various AI

tools that I've learned and hopefully

mastered and that might be a good

jumping off point for people that are

just getting into the space but my real

big goal is to have the community be the

really valuable and and rare resource

the goal is to make this the biggest and

most valuable private Community online

the reason it's private is because my

first attempt at creating this was

creating an open form and there's a lot

of problems with that spam Bots it's

really hard to moderate and you have a

lot of people that are necessarily all

focused on the same goal the goal of

this community is to learn to level up

to grow I think that's why this thing

that Sam said resonates with me so much

to grow to create abundance is

unequivocally a great thing to do and he

says that to him it feels like a moral

imperative and to me it does too so if

you want to join in if you think that

this is something that would be useful

to you number one and number two that

you can hopefully provide some value

back to the world or to the community

based on the things that you learn the

things that you know then I will ask you

to join me help me let's build this

thing together with that said my name is

Wes rth and thank you for watching