Generative AI Is About To Reset Everything, And, Yes It Will Change Your Life | Forbes

Summary

The script discusses the transformative impact of generative AI, the second wave of AI following ranking systems like Google search. It highlights the potential of AI to generate content and reshape society's communication and information structure. The launch of OpenAI's chat GPT and its implications for business and society are explored, along with the cautious optimism towards AI's future, its applications in various sectors, and the ethical and practical challenges it poses, such as biases, copyright issues, and the potential for misuse.

Takeaways

• 🌊 The script discusses generative AI as the second wave of transformative AI, following the first wave of ranking systems like Google search and YouTube recommendations.
• 🔑 The first wave of AI impacted society by restructuring incentives for various professions through the act of ranking information created by people.
• 🌟 The second wave of AI is about generating content, which has the potential to completely change the way information is made and communication occurs in society.
• 🛠 Generative AI refers to AI tools that create new content from large datasets in response to prompts, such as text, audio, or video.
• 📈 OpenAI, initially a non-profit, transitioned to a for-profit entity to raise funds for developing artificial general intelligence (AGI), partnering with Microsoft and receiving significant investment.
• 📚 The script mentions the cautious optimism around generative AI and the recognition of its inevitability, with a focus on how to manage its integration into society.
• 🎨 Generative AI is being used to enhance creativity, allowing people to visually communicate ideas almost instantly, which was previously time-consuming.
• 🏢 The technology is expected to be integrated into business workflows and existing software like Microsoft Word or Google Docs, enhancing productivity.
• 🤖 Bill Gates is quoted as being optimistic about AI's impact, particularly in developing areas where AI could provide medical advice or educational support where human resources are scarce.
• 🚀 The script suggests that AI will open up new possibilities, similar to how previous technological advances created new use cases that were not previously possible.
• 🔍 However, the script also highlights challenges with AI, such as inaccuracies, ethical concerns, copyright issues, and the potential for misuse, like deepfake technology.

Q & A

What is considered the first wave of transformative AI experienced over the past few decades?

The first wave of transformative AI is centered around ranking systems, which includes applications like Google search, Facebook, YouTube, and TikTok, focusing on the ranking of information created by people.

How does the ranking of information by AI systems impact society?

The ranking of information by AI systems affects the incentives of various societal figures like politicians, entertainers, and journalists, thereby restructuring society through the simple act of ranking for billions of people every day.

What is generative AI and how does it differ from the first wave of AI?

Generative AI refers to AI tools that create new content such as text, audio, or video. It goes beyond ranking to actually generate content by learning from large datasets and creating new outputs based on prompts, unlike the first wave which focused on ranking existing content.

What was OpenAI's initial purpose and how did it transition to a for-profit entity?

OpenAI initially aimed to create artificial general intelligence (AGI), a sci-fi concept of AI that is conscious and self-learning. However, as a non-profit, it couldn't raise enough funds for such an ambitious goal, leading to the creation of a for-profit entity in 2019, with Sam Altman becoming the full-time CEO.

How has OpenAI's relationship with Microsoft influenced its growth?

Microsoft's investment in OpenAI, reportedly amounting to 10 billion dollars at a 29 billion dollar valuation, has been instrumental in OpenAI's growth, positioning it as a key ally and accelerating its development in the AI space.

What is the general consensus regarding the current wave of generative AI?

The consensus is cautiously optimistic, with people accepting AI as an inevitability and focusing on how to manage its integration into society, rather than fearing the technology itself.

How can generative AI enhance human communication and creativity?

Generative AI allows humans to communicate visually by creating visual content almost instantly, which previously would have taken much longer for skilled individuals to achieve through traditional art or presentation methods.

What is the potential impact of generative AI on education and other sectors?

Generative AI can assist students with homework, structuring, or writing, and it is expected to have a broad impact across various sectors by enhancing and accelerating content creation and workflow processes.

What are some of the ethical concerns and challenges associated with generative AI?

Ethical concerns include potential errors and 'hallucinations' where AI provides incorrect information confidently, copyright and IP issues regarding the data used to train AI models, and the broader implications of AI-generated content on trust and the perception of reality in society.

How does the advancement of generative AI compare to previous technological cycles according to Bill Gates?

Bill Gates considers the advancement of AI as one of the four big technological changes of his lifetime, predicting that AI will be the hottest topic of the year and having a significant impact, especially in developing areas and underserved communities.

What are the potential future developments in generative AI technology?

Future developments in generative AI are expected to include advanced capabilities in video, audio, and 3D content creation, further integrating into existing systems and potentially leading to new AI-native applications and tools.

Outlines

00:00

🌊 The Impact of Generative AI on Society and Communication

The first paragraph discusses the emergence of generative AI as the second wave of transformative AI, following the initial wave of ranking systems like Google search and social media algorithms. These systems have restructured society by influencing the incentives of various societal roles through the act of ranking information. Generative AI, such as OpenAI's chat GPT, is now capable of creating new content from prompts, which is a significant shift from merely ranking existing content. The implications of this new wave are vast and not fully understood, with the potential to completely rewire the way information is made and communicated across society.

05:00

🚀 Generative AI's Breakthrough and Business Potential

The second paragraph highlights the mainstream breakthrough of AI with the launch of OpenAI's chat GPT, which demonstrated the technology's capability to generate content in various forms, such as recipes or scripts in the style of famous personalities. The paragraph explores the business implications of AI, questioning who will profit and the reality of the hype surrounding it. It delves into OpenAI's transition from a non-profit to a for-profit entity, backed by significant investments and partnerships, aiming to create artificial general intelligence (AGI). The paragraph also notes the cautious optimism surrounding generative AI and its potential applications in various sectors, including education and creative industries.

10:02

🌟 Open Source Generative AI and Its Rapid Community Growth

The third paragraph focuses on the open-source nature of some generative AI models, which has led to a rapid and extensive community engagement, surpassing the popularity of projects like Bitcoin and Ethereum. The applications of generative AI are expanding from basic creativity to more complex uses, such as creating video game assets and artwork. The paragraph anticipates further integration of AI into business workflows and existing software like Microsoft Word and Google Docs. It also raises the question of whether new AI-native applications will emerge or if existing software will integrate AI to stay ahead.

15:03

💡 Bill Gates' Optimism and AI's Potential in Education and Healthcare

In the fourth paragraph, Bill Gates is quoted expressing his excitement about AI, considering it one of the four major technological changes of his lifetime. He anticipates AI to be a central topic of discussion, particularly highlighting its potential positive impact in developing regions and low-income areas, where AI could provide medical advice or educational support where human resources are scarce. The paragraph also touches on the broader applications of AI, from improving existing tasks to creating entirely new possibilities, and the importance of understanding AI's capabilities and challenges, such as biases in AI systems.

20:03

🚧 Challenges and Ethical Concerns of Generative AI

The fifth paragraph addresses the challenges and ethical concerns associated with generative AI, such as errors in information (referred to as 'hallucinations') and deeper issues like copyright and intellectual property. It discusses the legal disputes arising from the use of data from the internet to train AI models without compensating the original creators. The paragraph also raises concerns about the rapid pace of AI development and the potential societal impacts, including the risk of undermining trust in society through the creation of deepfakes and the potential for misuse of AI to disrupt democracy and personal privacy.

🌐 The Future of AI and the Need for Global Democratic Processes

The sixth paragraph envisions the future of AI, predicting advancements in video, audio, and 3D creation that will enable the realization of imagined worlds. It emphasizes the potential of AI to augment human potential in fields like education and healthcare. The paragraph also discusses the surprising uniformity of human communication, as demonstrated by AI's ability to predict certain types of interactions. It calls for new forms of democratic processes to guide the use of AI technology globally, to ensure that it is deployed in a way that considers its impact on society and supports human values.

🛠 The Paradigm Shift of AI in Technology and Society

The final paragraph asserts that AI and machine learning are becoming the new paradigm for building technology, with the potential to completely change the way we interact with computers and develop new applications. It suggests that the most innovative applications of AI are yet to be invented and that AI will be integrated into everyday business workflows and consumer behaviors. The paragraph concludes with a call for AI systems to be designed to optimize for human values, including unity and productivity, rather than division, which is often a byproduct of engagement-based algorithms.

Keywords

💡Generative AI

Generative AI refers to artificial intelligence systems that can create new content, such as text, audio, or video, based on large datasets and user prompts. It is a transformative technology that goes beyond the first wave of AI, which focused on ranking systems like search engines and social media algorithms. In the script, generative AI is highlighted as the second wave that has the potential to reshape society by changing the way information is created and communicated.

💡Ranking Systems

Ranking systems are algorithms that order information based on relevance, popularity, or other criteria. They are foundational to platforms like Google search, Facebook, YouTube, and TikTok, influencing what content users see. The script discusses how these systems affect incentives across various sectors and have a profound impact on society by restructuring access to information.

💡Artificial General Intelligence (AGI)

Artificial General Intelligence, or AGI, is a theoretical form of AI that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks at a level equal to or beyond that of a human. The script mentions OpenAI's initial goal to create AGI, which would be a significant leap from the current state of AI, capable of conscious, self-learning behavior.

💡Incentives

Incentives in the context of the script refer to the motivations or rewards that influence the behavior of individuals or entities, such as politicians, entertainers, and journalists. The way information is ranked by AI systems can alter these incentives, thereby affecting societal structures and behaviors.

💡OpenAI

OpenAI is a research organization that aims to develop friendly artificial general intelligence. The script discusses its transition from a non-profit to a for-profit entity to raise funds for AGI development and its partnership with Microsoft. OpenAI's launch of Chat GPT is highlighted as a milestone in bringing AI into the mainstream.

💡Chat GPT

Chat GPT is an AI chatbot developed by OpenAI that can generate human-like text based on user prompts. It gained popularity for its ability to create content in various styles and formats, as illustrated in the script with examples like writing a script in the style of a famous movie star or generating a performance review.

💡Stable Diffusion

Stable Diffusion is a text-to-image generation model developed by Stability AI. The script positions it as part of the generative AI wave, demonstrating the technology's capability to create visual content from textual descriptions, which is a significant development in the field of AI.

💡Ethical Concerns

Ethical concerns in the script encompass issues like biases in AI systems, copyright and intellectual property rights, and the potential misuse of AI to create misleading or harmful content. These concerns are crucial as generative AI becomes more integrated into society and has broader implications for trust and truth.

💡Optimization for Division

The term refers to the tendency of some AI algorithms to optimize for engagement by promoting content that may cause division or conflict. The script suggests that this approach can be detrimental to society and that AI should be developed to optimize for human values that support unity and democracy.

💡Platform Democracy

Platform Democracy, as mentioned in the script, is a concept where a representative selection of the global population could participate in decisions about how technology should be used and deployed. This approach is suggested as a way to ensure that AI development is considerate of its impact on society at large.

💡AI Native Applications

AI native applications are software tools designed from the ground up to leverage AI capabilities. The script anticipates a new wave of such applications that will integrate AI in ways that traditional software cannot, leading to innovative products and services that can significantly improve upon existing solutions.

💡Reality Apathy

Reality Apathy in the script describes a societal condition where people become indifferent to discerning truth from falsehood, particularly in the context of AI's ability to generate convincing but false content. This apathy can erode trust, which is fundamental to a functional society and economy.

Highlights

Generative AI is the second wave of transformative AI, following ranking systems like Google search and YouTube recommendations.

Ranking systems affect the incentives of various societal roles, restructuring society through the simple act of ranking information.

Generative AI tools can create content like text, audio, or video from large datasets in response to prompts.

OpenAI's launch of Chat GPT brought AI into the mainstream, enabling creative tasks like writing in the style of Shakespeare.

OpenAI transitioned from a non-profit to a for-profit entity to raise funds for developing artificial general intelligence (AGI).

Microsoft's significant investment in OpenAI indicates a key alliance in the development of generative AI.

The generative AI wave gained momentum in summer 2022 with the release of models like Dolly 2 and stable diffusion.

There is a cautious optimism about the potential of generative AI to reshape communication and information creation.

Generative AI has applications in visual communication, education, and creative sectors, enhancing human potential.

The open-source nature of some AI models has led to a rapid community growth and diverse applications.

Expectations for future AI integration include business workflow use cases and potential AI-native applications.

Bill Gates considers AI one of the four major technological changes of his lifetime, with significant potential impacts.

AI tools have the potential to improve existing use cases and create entirely new ones, expanding possibilities.

The hype around AI is sustainable as it reflects a growing understanding and application of the technology.

AI systems still face challenges such as biases, errors, and ethical concerns like copyright and IP issues.

The rapid advancement of AI raises concerns about readiness and the potential for misuse, impacting trust in society.

Democracy and governance models need to adapt to consider the global and fast-paced nature of AI technology.

Generative AI's ability to copy voices raises both exciting translation possibilities and concerning misuse potential.

AI's impact will be widespread, affecting everything from chatbots to media, education, and healthcare.

The future of AI may include advanced capabilities like video, audio, and 3D world creation, enhancing human potential.

AI's ability to predict human communication patterns reveals a potential for early integration into business workflows.

The potential applications of AI are vast, with many yet to be invented, offering a paradigm shift in technology development.

AI democracy or platform democracy could be new forms of global decision-making regarding technology use and deployment.

AI systems should be optimized for human values that support society and democracy, rather than just engagement.

Transcripts

generative AI is in a sense the second

wave of transformative AI that we've

experienced over the past few decades

and that first wave was really around

ranking systems and so you're thinking

here about Google search Facebook

YouTube's recommendations Tick Tock all

of this is around choosing sort of the

ranking of information that was already

created by people and this seems like a

small thing it's just ranking a set of

items but when you're ranking everything

that Humanity has created that actually

affects the incentives of politicians of

entertainers of journalists you're now

restructuring Society just by that

simple Act of ranking because you're

ranking for billions of people every day

all the time the second wave is where we

go beyond ranking to actually generating

that content this second wave of

transformative artificial intelligence

we don't know fully what those

implications are going to be the whole

way in which we make information and the

basis of communication across Society

like that is all going to be rewired

[Music]

at its simplest generative AI refers to

an AI tool that is generating or

creating content that could be text

audio or video you're taking a really

large data set and you're inputting a

prompt and then you're outputting

something completely new that is

learning from all that info and creating

something to answer the prompts we've

covered AI for some time at Forbes but

on November 30th when openai launched

chat GPT it's tool that allows you to

you know ask for a recipe or a sauna in

the form of Shakespeare or a script in

the form of you know Alex as movie star

which my boss did he also asked it to

write an annual performance review for

me which I did not appreciate well we

saw everyone playing with these tools we

thought okay AI is really breaking into

the mainstream here it's not just

something that the tech bubble cares

about and it's time to ask questions

about who's really gonna make money here

how real is this hype and what will be

the business impacts openai is a really

interesting company it actually started

as a non-profit it was backed by Sam

aldman who used to run my combinator as

well as the billionaires Elon Musk and

Peter Thiel and it was formed with the

idea of creating an artificial general

intelligence this is a real kind of

sci-fi AI one that is conscious

self-learning that could theoretically

rethink capitalism as Sam almond has

said or could potentially outstrip human

Control building that AGI was something

that openai could not do as a non-profit

it couldn't raise enough money to do

this so it needed to create a for-profit

entity openai does that in 2019 and

that's when Sam Allman becomes CEO

full-time and not long after we've seen

the company become a key Allied to

Microsoft which has reportedly invested

10 billion dollars recently at a 29

billion dollar valuation

foreign

this current wave that we're seeing this

generative AI wave has been kind of

building up for the last couple months

now really hitting an inflection point

probably summer of 2022 we were slowly

seeing these different companies

starting to tease out you know new

releases like open AI launching Dolly 2

and beta and then stability AI announced

stable diffusion this text to image

generation model I think really it was

the culmination of all these different

models that reached a viral moment you

know really got to the masses I would

characterize the consensus as cautiously

optimistic you know I think there's not

so much pessimism around like AI as a

technology anymore I think more than

like optimism it's kind of gotten to a

point where people are accepting that

this is an inevitability now what do we

do with this inevitability you know

different folks have different levels of

bullishness on where this technology can

take us or what the potential harms and

risks of it are but uh for the most part

people seem to be optimistic that we

still have time it's still kind of in

our hands to kind of control the destiny

that this new AI Paradigm Shift brings

I think the way to look at this is if

Steve Jobs said that you know the phone

was a bicycle for the mind this

technology is really a rocket ship for

the mind the most exciting application I

think of this generative AI is with what

we're building allowing humans to

communicate visually so you can take

what's in your mind and create it almost

instantly whereas before it would have

taken days or months even for skilled

individuals to do that via art or

PowerPoint or whatever else I think

we've also seen the impact of this also

emerging other sectors such as education

where students are now using it to help

with their homework structuring or

writing I think we'll see it across

everything whereby again anything you

can imagine you'll be able to create now

stability or differential is that we are

open source so we release our models so

there's an amazing Community that's

built around it if you look at

popularity on the code base it's

outstripped things like Bitcoin in

ethereum in a few months what took them

10 years

the types of applications that we're

seeing are largely around basic

creativity at the moment but now they

are extending into combining these

things to create video game assets to

create artwork of various types to

create new textures and things like that

to extend the capabilities of creators

and to make more people creators I think

where it goes from here I think we'll

see more and more business workflow use

cases definitely expect to see these big

tech companies like Microsoft and Google

that are building some of these models

and kind of working with companies like

open AI on these models to start

integrating them more deeply into some

of the existing software we know so for

example you could expect to see

generative AI use cases in Microsoft

Word or Microsoft Outlook Google Docs

stuff like that I think one of the open

questions remains are we going to see

like an entirely new wave of uh AI

native applications kind of become a

whole new gen generation of software

tools that people use or will it be kind

of the existing options that are able to

integrate this AI faster and stay ahead

of the curve for example Adobe putting

this AI into Photoshop versus entirely

new like AI powered photo editor coming

about speaking of Bill Gates about AI I

was honestly a little surprised just how

excited he was I asked him how does this

compare to previous technological Cycles

like the the rise of the PC or the PC

with you know Graphics interfaces that

allow us to play games and do a lot more

you know graphically inclined things on

computers or even the internet itself

and Bill said that he thinks this is one

of the four big technological changes of

his lifetime and he said that he thinks

AI will deservedly be the hottest topic

of this year overall I would say Bill

Gates was optimistic about the impact

that these AI tools could have

particularly in the developing world

where he spends a lot of his thoughts

with his foundation he was thinking

about how in Africa some people may not

have access to human doctors you can do

a lot as a foundation to try to get

doctors to that place or train new

doctors but an AI tool that could answer

some basic medical questions could fill

a need without challenging doctors

professions similarly he was thinking in

you know lower income neighborhoods here

at home in the U.S there might be some

math tutoring or basic homework support

or teaching support but a tool like this

could use for students who don't have

access to human Tutors or don't have a

lot of time with a teacher

so with AI you can do existing use cases

better than before right so you can

improve search for example you can

improve moderation in social networks

you can improve communication by adding

uh virtual backgrounds for example to to

this video you can also create

completely new use cases that were just

not possible before right you can

generate image Club text you can

generate 3D context you can like

recognize voice and translate that you

can create better conversational AI so

it really opens up a new range of

possibilities the same way the previous

generation of Technology creates the

ability for machines to calculate better

or to retrieve information better with

search engine there's a whole range of

new use cases that weren't possible

before that are now made possible by

Machine learning uh the hype that we're

seeing now is just to catch up on the

previous wave of usage this is very

different for example than crypto where

you had a lot of pipe but very little

usage

I think it's quite sustainable and as we

see more use cases more usage more

companies investing on the topic in 2023

hopefully it's gonna going to become

more and more for mainstream topic and

more and more Central topic what we want

is for everyone to understand AI

understand what it can do what it can't

do some of the challenges associated

with it for example biases are a big

challenge for AI systems today we want

everyone to you know

understand that so that they can you

know help us mitigate some of the risk

uh and and make sure it doesn't create

more challenges

so there are a number of issues that

fall into different categories that

still need to be resolved with this AI

as uh flashy and exciting as some of

this new technology is it's still prone

to errors and mistakes AI practitioners

call it like hallucination where you

might ask open AI is a chat gbt a basic

math problem and it will very

confidently give you an answer but it

turns out the answer is completely wrong

that could you know in a business

capacity hurt a business if they're kind

of using inaccurate information taking

it at face value beyond that there are

kind of more deeper ethical concerns

that have not been addressed one of them

being the copyright and IP around this

new AI the way that this generative AI

is possible is these companies have

trained their AI models on this massive

massive quantities of data and a lot of

that data is pulled from the internet

you know so take an example like stable

diffusion which is trained on millions

and millions and millions of images

around the internet stability AI which

is one of the companies that we write

about in in our coverage and is behind

stable diffusion they've been sued

recently by Getty Images which is

alleging that they used millions of

Getty's photos to allegedly train the

models without paying Getty a dime for

their work there's also a lawsuit going

on against openai Microsoft and GitHub

which is owned by Microsoft from

programmers who believe that the code

that you can get which is usable it's

not perfect but it can actually save

time for some programmers today but that

code comes from programmers who

similarly were not compensated for their

work

foreign

[Music]

the rate of change that I expect that

we're going to be seeing over the next

few years

it makes me

concerned that we are

not going to be ready

for what's coming next and yes we're

better at the issues from 10 years ago

but we still haven't even solved the

problems that have been caused by the

the old

transformation where ranking systems

sort of reshape our society right now

there's two main sort of camps within

the tech World in terms of how we're

going to govern this technology and one

is we're just gonna give everyone the

power as an individual to do whatever

they want with it and the other is that

the tech companies themselves will

decide what you can do and both of those

don't seem really great like yes it's

nice for us to have individual power but

if everyone has the power to mess with

democracy everyone has the power to

harass others to extort others to

generate scams quickly on demand like

that maybe isn't really good for the

world there's a question of what else is

there right and then that is what

democracy tries to do it's it's can we

take that question of how this

technology should impact society and

bring it to a process where those

decisions are being really considered in

terms of their impacts but the challenge

is that our current Democratic systems

are frankly too slow and the AI advances

are both incredibly quick and they're

global

one of the most terrifying and in many

ways exciting applications of generative

AI is to copy our voices that's

incredibly useful for translating across

languages so you can have you just

speaking in any language and it really

sounds like you but the downside there

is someone can use that same technology

to just copy your voice saying anything

they want we had companies in the space

that were really responsible as well as

one couldn't be and they they had a lot

of safeguards to make it so that you

really it was really hard to copy

someone's voice about their consent but

that all changed very recently when a

number of companies just came out

without doing that it's sort of like

you're lowering the bar for

responsibility because these new

entrants are coming in because it's

cheaper to not build in that extra Tech

and it makes it easier to use and so we

can't live in a world where people keep

undercutting those responsibility

practices there is real risk that we are

moving toward a world where people just

don't have any sense of what is real and

they just sort of give up on that and

we've already seen that obviously in

many parts of the world the sort of what

I'm calling reality apathy that is not

the ingredient that we need if we want

to have functional Society functional

democracy like Society is built on trust

economics is built on on trust politics

is built on trust and we get into a

really dark place

when

we don't know what we can believe

I think there it's very difficult to see

where this AI will not impact anywhere

that a human and a computer interface

from better chat Bots to the whole of

the media industry changing to create

faster better output and even areas like

education and Healthcare augmenting

human potential in these areas it's hard

keeping up to date with what giant Fai

look likes next week let alone one year

or five years but I think in the next

few years we're going to see video we're

going to see audio 3D the ability to

really create any world you can imagine

and I think that will be amazing I think

we'll see it in areas like education and

Healthcare and others really helping and

enhancing our ability to Aid people and

I think that's going to be great to see

because it can integrate into existing

systems unlike other things like maybe

the metaverse or web 3 that always

created their own systems and there was

never really immediate value for a

couple things that have shocked me about

AI as I've gotten to know this space one

is that I feel like we're not all as

unique as we think we are these tools

are pretty good at predicting what an

email to reject a PR pitch looks like or

right back at me you know the kind of

way to send a PR pitch to someone like

Alex the reporter that kind of

communication is actually pretty well

predicted and so I think that we're

going to see these AI tools you know

being useful there much earlier than I

would have guessed

Sam Walden declined to be photographed

for our Forbes story we did photograph

Greg Brockman and a couple other leading

entrepreneurs in this space but for Sam

we thought it would be really fitting to

use his own tools to generate an image

of himself so he put into a prompt in

open ai's image generating tool called

dolly that said Sam Alden on the cover

of Forbes

we got some weird ones back including a

cover of sort of a blurry faced uncanny

valley Sam almond-like person holding a

cover of a magazine like Forbes with the

same image of blurry Sam Altman we've

already seen some media companies

starting to explore how to use these AI

tools themselves some elegantly some

actually getting in trouble for

publishing stories written by an AI tool

and not disclosing it right away I think

this is a debate that's going to happen

across the media landscape for someone

like me I'm actually not concerned I do

believe that just like using an iPhone

or a transcription tool or other pieces

of technology in my job I'll be using AI

to do my work better if the AI can

replace my work then I don't think I'm

doing a good job

thank you

I think her sense talking to these

Founders these investors is that uh a

lot of the coolest applications that are

going to come out of this you know AI

wave haven't even been invented yet

maybe haven't even been imagined yet

that said it seems like for the most

part starting out where this AI is going

to be applied is in some of the more

boring places some of the more busy

workplaces how do we integrate this AI

into our basic business workflow so I

think you're starting to see kind of

consumer behaviors change students for

example are already kind of using chat

gbt to generate essays for them some

artists are using models like stable

diffusion mid-journey or open ai's Dolly

to help them create works of art I think

because machine learning is such a

different Paradigm as a typical software

there's going to be like a flock like a

wave of AI ml native startups that are

going to do things build products 100

times better than the inconvenience who

have not been able to deal with machine

learning the the same way so this is

very exciting because I think we really

have the opportunity to change the

Paradigm completely and make a merge a

whole group of newcomers uh and and new

companies that are going to be able to

do things differently what we can do is

you can use

sort of new forms of democratic

processes

and this is what what I've been calling

sort of platform democracy or AI

democracy to ask a sort of

Representative selection of the global

population like how should this

technology be used how should it be

deployed it sounds crazy

to to say this but there already are

pilots of of this sort of global process

and the reason why you need it to be

Global is because this technology

affects everyone it creates legitimacy

it makes it really really hard for

companies to then be like oh we're

democratizing this technology when

really what they mean is we're giving

everyone the ability to just like mess

with everything that isn't what a

democratic process that isn't what

considered deliberation would have led

to if you had the people who were being

impacted by that technology in the room

we need our AI systems to not just be

optimizing for engagement as we've seen

with things like Facebook and Tick Tock

and YouTube but for the sort of the

human values that actually support

society and support democracy and a big

part of that is sort of not optimizing

for division which is what comes

naturally out of those algorithms in

many cases and so a lot of my work

recently has been around how can we

instead optimize for bridging divides

making conflict productive as opposed to

destructive so that I think that is

absolutely core to bake in from the

beginning because we've seen what

happens to society when systems that

billions of people are using every day

are really optimizing for division and

it isn't pretty

in my opinion Ai and machine learning is

becoming the new paradigm to build all

technology in my opinion Ai and machine

learning is becoming the new paradigm to

build old technology