Navigating the Future: BGI's Role in Shaping Education, Medicine, and Science

Summary

The panel discussion at 'Early Stage AI' delves into the integration of AI technologies in education, medicine, science, and arts. Moderated by Eric Scen, a cognitive and social neuroscience expert, the conversation includes perspectives from diverse professionals like Deborah Dang, CTO of reu, ru, Joshua Johnson with a background in pharmaceuticals and gaming, and Randall Koene, founder of the Carbon Copies Foundation, focusing on whole brain emulation. They explore the ethical considerations, potential biases, and the importance of inclusivity and access in AI development. The panel emphasizes the need for diverse data sets, personalized medicine, and the role of AGI in advancing scientific understanding, while also discussing the future of education through gamification and the potential of decentralized AI.

Takeaways

• 🎨 The importance of integrating Arts with AI, education, medicine, and science was highlighted as creativity is a fundamental human trait.
• 🧠 Eric Schenk, a moderator with a background in cognitive and social neuroscience, emphasized the relevance of trust systems in the brain to AI development.
• 💡 Deborah Dang, CTO of reu, ru, discussed the application of AI to understand both biological and social realms, stressing the potential of AGI in holistic science.
• 🎓 Joshua Johnson shared his diverse background, from pharmaceutical supply chain to education and gaming, and his interest in integrating human purpose into AI.
• 🧬 Randall Kuna, founder of the Carbon Copies Foundation, is focused on whole brain emulation and the potential of AGI to advance human participation in an ecosystem of intelligences.
• 🎶 Di Krauss, president of Jam Galaxy, spoke about the power of music as a universal language and its role in education and gamification.
• 🧬 Kennedy Shaw, CEO of ruv biotech, is building a drug discovery platform using neurosymbolic AI and crowdsourced data to combat aging-related diseases.
• 🔍 The panelists agreed on the need for diverse and inclusive data sets to avoid biases and develop effective personalized medicine.
• 🤖 Concerns about the potential for disinformation and job loss due to AGI were raised, with suggestions to use AGI itself to simulate and address these issues.
• 🌐 The conversation touched on the importance of decentralization and inclusivity in AGI development, ensuring that a wide range of perspectives are considered.
• 🚀 The potential of AGI to democratize access to knowledge and technology was discussed, with examples like the Neuromatch Academy providing free online learning in Neuroscience and AI.

Q & A

What is the significance of including Arts in discussions about AI technologies along with education, medicine, and science?

Arts is important because humans are creative beings, and it is a fundamental aspect that makes us human. Including Arts acknowledges the multidisciplinary nature of AI's impact on society.

What is Eric Schen's background and how does it relate to the panel discussion?

Eric Schen has a background in cognitive and social neuroscience, with a focus on studying Trust Systems in the brain. This is relevant to AI systems as they will develop their own Trust Systems, making his expertise pertinent to the panel's theme.

Deborah dang's professional background and how does it connect to the topics discussed in the panel?

Deborah dang is the CTO of reu, ru, and the longevity Network, with over 30 years of experience as a computational social scientist. Her work in applying AI to understand biological and social realms connects directly to the themes of AI in education, medicine, and science.

What is Joshua Johnson's background and how does it pertain to the panel's focus on AI and its applications?

Joshua Johnson has a diverse background starting in science, with an MBA, and experience in the pharmaceutical supply chain in China. He is currently focusing on education and gaming, specifically gamifying the future of the world and the spatial web, which ties into the panel's discussion on AI's role in various domains.

What is Randall Kuhn's contribution to the field of whole brain emulation and how does it relate to the panel's discussion?

Randall Kuhn is the founder of the Carbon Copies Foundation and has been working on whole brain emulation and mind uploading technologies. His work is relevant to the panel's discussion as it explores the potential of AI and its implications for human intelligence and participation in the broader ecosystem of intelligences.

What is Di Krauss's vision for the global brain and how does it connect to AI and the panel's themes?

Di Krauss, president and co-founder of the Jam Galaxy music platform, had a vision for the global brain in 2011. She believes in the potential of AI to help humanity remember its interconnectedness and divine nature. This vision aligns with the panel's exploration of AI's role in enhancing human capabilities and understanding.

How does Kennedy Shaw's work at ruv biotech relate to the panel's focus on AI in beneficial domains?

Kennedy Shaw is the CEO and founder of ruv biotech, which is building a drug discovery platform based on neurosymbolic AI and crowdsourced human data. Her work is directly related to the panel's focus as it aims to solve aging-related diseases and promote human longevity through AI technologies.

What is the importance of diversity in data sets according to Kennedy Shaw and how does it apply to personalized medicine?

Kennedy Shaw emphasizes the importance of diverse data sets to ensure that personalized medicine can be effective for everyone. She points out that most human data sets have been biased towards wealthier white populations, and changing this is crucial for the development of therapies that work for all.

What is the potential ethical issue with AI that Deborah dang mentions and how can it be addressed?

Deborah dang mentions disinformation, election tampering, job loss, and changing perceptions of reality as potential ethical issues with AI. She suggests using AGI itself to simulate social structures and predict outcomes, as well as implementing blockchain technology to ensure fair compensation and protection of personal data.

How does Joshua Johnson view the role of education in the ethical use of AI and its impact on the masses?

Joshua Johnson believes that education is a form of marketing for understanding AI. He suggests creating a decentralized system like a 'consumer reports' for education tools around AI, which can help the masses understand AI from a non-biased point of view and lead to ethical use.

What does Di Krauss see as the role of music and gamification in educating people about AI and its benefits?

Di Krauss sees music as a universal language that can be used to start conversations about AI. She believes that through platforms like Jam Galaxy, which combines music with gamification, people can be educated about AI in an engaging and inclusive way.

What is the role of ethics in the development of AGI according to Randall Kuhn?

Randall Kuhn emphasizes the importance of inclusivity and openness in the development of AGI. He suggests that no single group can fully understand the ethical implications of AGI, and a diverse range of perspectives is needed to ensure ethical considerations are comprehensively addressed.

What is the key to making personalized medicine work according to Kennedy Shaw?

Kennedy Shaw believes that the key to making personalized medicine work is to include everyone by ensuring that everyone has access to contribute their data, own their data, and have agency over what is done with that data.

How does Debra dang view the importance of decentralization in AI and science?

Debra dang views decentralization as crucial not just for data but also for AI and science. She believes that including everyone's contributions and unlocking the talents of those who have been suppressed due to their background can lead to a more holistic and comprehensive understanding.

What does Randall Kuhn suggest as a way to democratize access to AI technologies and bring more people into the conversation?

Randall Kuhn suggests that AGI can democratize access to AI technologies by making it easier for people to participate in the conversation without needing extensive skills or knowledge. He cites the Neuromatch Academy as an example of this, where people can learn to use machine learning and AI in neuroscience online and for free.

What is Joshua Johnson's perspective on the slow-moving nature of education and healthcare in terms of legislation and how it impacts AGI development?

Joshua Johnson believes that the slow-moving nature of education and healthcare legislation presents challenges for AGI development. He sees the potential in gaming and the internet to provide more immediate and tangible access to AGI technologies and believes this could be a way to circumvent some of the legislative challenges.

What is the balance that Joshua Johnson suggests should be maintained when discussing the acceleration or slowing down of AGI development?

Joshua Johnson suggests that the balance lies in having open conversations about AGI development. He believes that any press is good press and that by discussing and communicating about AGI, we can understand the extremes and find a balanced approach that takes into account diverse perspectives.

What does Kennedy Shaw think is the basis for solving the issues related to the acceleration of AGI and its impact on domains like education and healthcare?

Kennedy Shaw believes that good regulation is the basis for solving these issues. She points out that current regulatory frameworks, like the FDA, are slow and not appropriate for the technological environment we are facing, suggesting that a regulatory framework that maximizes benefits across fields is needed.

Outlines

00:00

🌟 Introductions and Panel Diverse Backgrounds

The panel, moderated by Eric Schenk who has a background in cognitive and social neuroscience, introduces its members and their respective fields. Deborah Dang, CTO of reu,ru's Longevity Network, discusses her experience as a computational social scientist. Joshua Johnson, with a background in pharmaceutical supply chain and education, talks about his work with gaming and AI ethics. Randall Kuhna, founder of the Carbon Copies Foundation, explains his work on whole brain emulation. Di Krauss, president of the Jam Galaxy music platform, shares her vision for a global brain. Lastly, Kennedy Shaw, CEO of ruv biotech, discusses her company's drug discovery platform and the importance of diverse data sets for personalized medicine.

05:04

🛠️ The Role of AGI in Science and Education

The panelists explore the potential of AGI in advancing science and education. Deborah emphasizes the need to apply AGI to science to avoid disinformation and create a holistic understanding of causal mechanisms. Eric Schenk suggests that AGI can help synthesize scattered truths into larger ones. Joshua Johnson discusses the paradigm change in neuroscience due to AI, allowing for large-scale circuitry reconstructions. The conversation highlights the importance of including diverse perspectives and contributions to achieve a comprehensive understanding of complex systems.

10:06

🎓 AGI's Impact on Education and Gamification

Joshua Johnson discusses the role of education in the context of AGI, suggesting that education is akin to marketing. He advocates for gamifying education to increase retention and understanding, particularly in platforms like Roblox which has a large user base. Johnson emphasizes the importance of making AGI accessible and personalized to enhance daily learning and personal growth.

15:08

🎵 Jam Galaxy: Music as a Gateway to AGI Understanding

Di Krauss introduces Jam Galaxy, a music platform that uses music as a universal language to engage people in AGI topics. She believes that through music, people can be educated on AGI and start their journey of discovery about their own divine nature. Krauss sees Jam Galaxy as a tool for inclusivity and personal development, using gamification and music to make complex topics accessible.

20:08

🔮 Navigating the Ethical Considerations of AGI

The panel delves into the ethical considerations of AGI, with Debra highlighting that AGI is neutral and its ethical use depends on the intentions of the users. She warns of potential misuses like disinformation and job loss, advocating for the use of AGI to simulate social structures and predict impacts. The conversation underscores the importance of addressing ethical issues proactively to maximize benefits and minimize harm.

25:09

🌐 The Importance of Decentralization and Inclusivity in AGI

The panelists agree on the necessity of decentralization and inclusivity in AGI development. Kennedy Shaw stresses the importance of access to data and technology for everyone, especially in the context of personalized medicine. Debra supports this, adding that decentralized AI can unlock talents from diverse backgrounds. The panel discusses the need for open-source, decentralized approaches to ensure a broad understanding and ethical development of AGI.

30:11

🚀 AGI's Role in Democratizing Access to Knowledge

Randall Kuhna discusses how AGI can democratize access to knowledge, allowing more people to participate in scientific conversations and contribute to AGI development. He cites the Neuromatch Academy as an example of making AI tools accessible for learning in neuroscience. The panel explores the potential of AGI to level the playing field and enable broader participation in science and technology.

🏥 The Intersection of AGI and Healthcare Legislation

Joshua Johnson and Kennedy Shaw discuss the slow-moving nature of healthcare and education sectors in relation to AGI. Johnson highlights the challenges of legislation in healthcare and his decision to focus on the more agile gaming industry. Shaw criticizes the FDA's slow regulatory processes and calls for a regulatory framework that can keep pace with technological advancements to maximize benefits across fields.

🌐 The Challenge of Balancing AGI Development Speed with Ethical Considerations

The panel concludes with a discussion on the rapid pace of AGI development and the ethical challenges it presents. There is a consensus that while the technology is advancing quickly, it is crucial to maintain a balance and have conversations about its implications. The need for good regulation, ethical considerations, and the inclusion of diverse perspectives is emphasized to ensure AGI development is beneficial and responsible.

Keywords

💡Artificial Intelligence (AI)

Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the context of the video, AI is discussed as a transformative technology in various fields such as education, medicine, and science. For example, Joshua Johnson mentions applying AI to education and gaming, while Kennedy Shaw discusses using AI for drug discovery in the biomedical field.

💡Cognitive Neuroscience

Cognitive Neuroscience is the study of how the brain supports cognitive processes like perception, memory, and language. Eric Scen, the moderator, has a background in cognitive and social neuroscience, specifically studying Trust Systems in the brain. This is relevant to AI systems as they are developing their own trust systems, which are crucial for human-AI interaction and cooperation.

💡Whole Brain Emulation

Whole Brain Emulation is a concept where the structure and function of an entire brain are simulated in a computer. Randall Kuna, the founder of the Carbon Copies Foundation, has been working towards this technology, which would allow for mind uploading. This concept is tied to the broader discussion in the video about the future of intelligence and AI.

💡Neuroscience

Neuroscience is the scientific study of the nervous system and the brain. In the video, it is mentioned as a field that benefits from the advances in AI, as AI allows for the collection and analysis of large-scale data sets, which can lead to new insights into the brain's workings. For instance, the script refers to the potential of creating an emulation of a fruit fly brain using available data sets.

💡Education

Education is a key theme in the video, with several panelists discussing the integration of AI into this field. Joshua Johnson talks about gamifying education and using platforms like Roblox to engage learners. The concept is about making education more interactive and accessible, leveraging AI to personalize learning experiences.

💡Personalized Medicine

Personalized medicine is an approach to patient care that tailors treatment to an individual's unique genetic makeup. Kennedy Shaw emphasizes the importance of diverse data sets for the development of personalized medicine, noting that current biomedical research has often failed to include diverse populations, which is a barrier to creating effective treatments for everyone.

💡Ethics

Ethics in the context of the video pertains to the moral principles that should guide the development and use of AI technologies. Debra Kaufman discusses the ethical considerations of AI, such as the potential for disinformation and the importance of using AI to simulate and address possible negative impacts on society.

💡Inclusivity

Inclusivity is the quality of including or being inclusive of all potential users or participants. The panelists stress the need for inclusivity in AI development, particularly in data collection and AI applications, to ensure that technologies benefit everyone and do not perpetuate existing biases or inequalities.

💡Blockchain

Blockchain is a decentralized and secure technology that records transactions across multiple computers. In the video, it is mentioned as a means to ensure fair compensation and protect individual data, which is crucial for ethical AI development and use, particularly in areas like personalized medicine.

💡Gamification

Gamification refers to the application of game-design elements and principles in non-game contexts to influence behavior and engage users. Joshua Johnson and Di Krauss discuss gamification in education and music, respectively, as a way to make complex subjects like AI more accessible and enjoyable for the general public.

💡Spatial Web

The Spatial Web, as mentioned by Joshua Johnson, refers to the integration of virtual reality, augmented reality, and other immersive technologies into the internet. It represents a future where AI, gaming, and spatial computing converge to create new learning and interaction experiences.

Highlights

Introduction to the panel discussing the integration of AI in various fields including education, medicine, science, and arts.

Eric Scerri's background in cognitive and social neuroscience and the relevance of trust systems in AI.

Deborah Dang's experience as a computational social scientist and her work on AI for understanding biological and social realms.

Joshua Johnson's diverse background, from pharmaceutical supply chain to focusing on education, gaming, and AI ethics.

Randall Kuna's work on whole brain emulation and the Carbon Copies Foundation's aim to educate and advance technology for mind uploading.

Diane Krauss's vision for a global brain and the Jam Galaxy music platform as a tool for education and inclusivity.

Kennedy Shaw's focus on drug discovery using neurosymbolic AI and crowdsourced human data to combat aging-related diseases.

The importance of diverse data sets in biomedical research for the development of personalized medicine.

Deborah Dang's view on applying AGI to science to create a holistic understanding and combat disinformation.

Randall Kuna's perspective on the connection between AI advances and neuroscience, and the paradigm change in Neuroscience.

Joshua Johnson's emphasis on gamification in education and the retention of information through role-playing in platforms like Roblox.

Kennedy Shaw's discussion on biases in biomedical research and the need for diverse data sourcing to remove bias.

Diane Krauss's thoughts on music as a universal language and Jam Galaxy's role in education and personal growth.

Ethical considerations of AI, including the potential for disinformation, job loss, and changing perceptions of reality.

The role of blockchain in ensuring fair compensation and protection of individual data and intellectual property.

Importance of open source, decentralization, and inclusiveness in ethical development and application of AGI.

Kennedy Shaw's argument for access to education, medicine, arts, and knowledge as a key factor for the success of AGI in biomedical research.

Deborah Dang's emphasis on decentralized AI and science to unlock talents and create a more holistic knowledge base.

Randall Kuna's view on AGI's potential to democratize access to technology and involve more people in ethical considerations.

Joshua Johnson's insights on the slow-moving nature of education and healthcare legislation and the need for balance in AGI development.

The need for good regulatory frameworks that are appropriate for the technological environment to maximize benefits across fields.

Transcripts

welcome to the early stage AI

Technologies in education medicine and

science but it would add Arts as well

because Arts is very important we are

humans are creative beings so it's the

fundamental that makes us human um my

name is uh Eric scen I the moderator of

this panel have a background in

cognitive and social neuroscience and I

study Trust Systems in the brain which

is very relevant for a systems as well

uh because they will develop their own

Trust Systems um I'm a lecturer at the

Hans University in the Netherlands uh so

these topics are actually touching my

personally and um I glad that we have

such a diversive and inclusive panel um

I think that we have a great

conversation the coming 35 minutes

minutes um so what I want to do without

further Ado that everyone is introducing

themselves within 2 minutes so go ahead

uh my name is Deborah dang and I am CTO

of reu

ru. um the uh longevity Network that is

AI power um I've been a computational

social scientist for over 30 years

applying AI to understanding nature

includ biological and social

Realms I am Joshua Johnson hello thank

you so much for having us um we're

looking forward to talking about

education and Science and different

things today I uh have somewhat of a a

balance of a background I started in h

China did my MBA and was in cof farm

which is the largest pharmaceutical

supply chain in the in China so I have

some science background uh but now

focusing on education and gaming so

we're doing uh gaming ging with Sophia

verse and then Jam Galaxy now we're

bringing that to life in Roblox so we've

been focused on Roblox and gaming and

gamifying what that looks like the

future of the world and the spatial web

um and then also very interested in

augmenting human purpose into AI that's

what my thesis way back when talking

about AI ethics kind of before it was a

thing um so that's very interesting to

me and hopefully tomorrow maybe we can

talk about at the unconference I was

talking to Max more about that and um

you know pain to Joy is the curricul

that we have so that process of helping

people in that daily Journey um in their

personal daily daily growth and Lasting

Joy so thank you hi I'm Randall kuna I'm

the founder of the carbon copies

foundation and I'm also originally from

the

Netherlands um I've spent maybe the last

20 or more years uh trying all kinds of

different ways to help Advance work on

so-called whole brain emulation so

getting towards the technology that

allows mind uploading and in our

foundation we try to do this by first of

all educating people about it and

secondly by being a place where we can

find how to put people together into

projects that deal with the most crucial

challenge of this time in that direction

if we want to go in the direction where

we as humans can participate in this

bigger ecosystem of intelligences that's

coming up and I think that uh I don't

know if we're getting to get to it in

this conversation but there are some

really interesting uh new things that

have happened in neuros science because

of the way that artificial intelligence

has allowed us to collect and correct

data so that we now have really large

scale data sets that would actually I

think there's an even odds that we could

for example create an upload an

emulation of a fruit fly right now if we

knew what we were doing using the data

sets that are available from the

complete electron microscopy data stack

of the of the fruit

fly

nice hi um I'm di Krauss and I'm uh

president and co-founder of the jam

Galaxy music platform and I'm also

saxophonist in Des demona's dream and um

it takes me a while to get ready so I'm

kind of halfway there because we have

like rehearsal and soundcheck right

after this and then the show so I hope

you all come I think it's in the

infinity room tonight um but yeah a

little bit of my background um I in in

2011 um I had like a vision downloaded

to me for the global brain and I have to

put this all on paper but um it just in

listening to everybody's conversations I

believe I have a way to to put this all

together so uh and actually working with

you is going to be probably pretty

instrumental in that I think um and uh

I've been studying uh I started studying

artificial intelligence in um uh 2017

and um you know studied really hard and

learned everything I could just so I

could understand it and then like a year

year later I met Ben and uh I I said oh

I have this concept for a global brain

and um he's like oh that's funny I just

wrote this you know paper three weeks

ago about a concept for a global brain

and I'm like okay that's cool and

um so yeah I just I think we're in such

a cool place right now in history and

things are going to be changing so

rapidly but in really good ways um I I

grew up with um a dad who's a rocket

scientist um Ken arism and he built the

Voyager One and Voyager 2 spacecraft um

uh propulsion subsystems and hydren

thrusters and he also worked on the uh

Viking program so uh I've always been a

daughter of the stars and I I really

think about existence as really cool and

I U really see the beauty in everyone

and how everybody is just an absolute

perfect miracle and that's what we need

to remember and that's what artificial

general intelligence is going to help us

remember and I also just heard that

there was a panel that talked about

ancient intelligence and um which is

really cool because I think of AI as

ancient intelligence and it's just a way

it's going to help us tap into all that

there already is that already exists and

um artificial super intelligence already

exists as well so we're just going to be

tapping into that as we move forward and

at pretty quick pace so

um we can build systems though that can

meet people where they're at to start to

understand this

journey and um so yeah I'm just really

excited about this and excited to be

here with all of you what an incredible

event we've put together and what

incredible people to be able to

introduce uh beneficial benevolent

artificial general intelligence to the

universe yeah awesome hi I'm Kennedy

Shaw I'm CEO and founder of ruv biotech

um the sister company to ruv AI um I'm

an evolutionary biologist by training I

was mentored by Michael Rose at UC

Irvine and we are here building a um

drug Discovery platform based on our

neuros symbolic Ai and crowdsourced

human data and with the goal of solving

aging related disease and human

longevity um rev bio is currently doing

a crowdfund the QR code was up there

will be back up there in a bit so you

can link to that if anybody is

interested in learning more about that

so thank you Eric oh thank you uh as you

can see a very diverse panel uh that

that makes the conversation great uh

hopefully um what I find interesting

this topic has already impact on society

uh but also on economy uh as a lecturer

my students asked me how does my uh

future looks like in four to six years

and honestly I don't know because it's

changing the technology is changing so

fast at the moment that what they learn

at the moment is obsolete within four or

five years so it's not the fundamental

crisis that you have in education but we

have to think about this and this is why

I'm great that we have this summmer that

we can have this kind of

discussions um so the main topic is how

can we fac facilitate the roll out of

early stage hii Technologies and

beneficial domains as education medicine

science and art so what I want to do uh

for for example Kennedy what is your

expertise or Vision on on on this topic

um I think uh in the field of biomedical

research um what will be really

important is um ensuring the diversity

of our data sets um one thing that's

really exciting to me about the the ruv

project and being a part of it is that

we have an opportunity to finally gain a

diverse robust human data set to uh use

our AI to um develop uh real life-saving

Pharmaceuticals and in the March towards

personalized medicine that's going to be

crucial because the Paradox of

personalized medicine is that in order

to understand one person really well you

have to understand a lot of people very

well and um we've kind of uh failed in

the biomedical research Community to do

that up until now most human data sets

that we have from Human trials um tend

to be wealthier white people and we

won't be able to have personalized

medicine for everybody unless that

changes and so I think that's really a

crucial thing in the early roll out of

AGI in um biomedical research is making

um it accessible for everybody to

contribute their data making sure that

there is an adequate and appropriate

incentive for people to contribute their

data and um letting them be a part of

the creation of these these products and

this research to um to solve uh aging

and death all right great thank you for

your answer and uh Deborah okay can you

elaborate something on on this topic as

well uh yes um well the most important

thing uh for us to do in the near term

uh is to apply uh AGI to science because

AGI also has the potential for

disinformation and human beings

themselves don't do science very well uh

we can only handle reductionist

information so our job is really to take

all those individual pieces of knowledge

and put it together in a coherent

picture and I believe AGI is what can

help us to be holistic about science and

find uh discover all the causal

mechanisms behind it so that we can take

all these you know scattered small

truths and make larger trues out of them

all right so you form the deterministic

school so to speak

um a little

bit I I don't know I don't see why that

is deterministic I think we have

willpower to um um affect um how things

go for example um you know we may only

have a short time to have control

because we don't have control over ASI

so no well I'm a little bit from the

same school that's why I saying so if

you go then to the other uh realm from

the holy view maybe Randle can say

something about this the holistic view

yeah I don't know if my view is really

holistic but um what I found anyway is

that there's first of all of course

there's a really strong connection

between advances in Ai and AGI

eventually and Neuroscience there's this

virtuous cycle that happens right

because as you learn something in

Neuroscience you find out more about how

cognition is done in the brain and that

helps you come up with parts of this AI

or AGI puzzle that we're still trying to

figure out and AI helps you do things in

science that you otherwise could never

do so it's not that people are being

replaced for example by or at least in

science right now they're not being

replaced by AI it's that the things they

can do are very different right now

you're seeing a huge Paradigm change

begin to happen in Neuroscience for

instance like I was at the uh annual

Neuroscience meeting in November there

30,000 scientists there 90% of the

posters were still all about say you

make a little perturbation here you have

a hypothesis you're testing something up

here doing a prediction that's it you're

not really learning about the system and

how it works but there's a small kernel

of people and that's all you really need

a small kernel and then some

enthusiastic young people who aren't

stuck in whatever their lab's already

doing and so you're seeing that there

are 200 maybe scientists who have

understood that right now we're

switching to a realm where AI is giving

us access to the kind of data that you

need that you can do large scale

reconstructions of circuitry and really

understand what's happening by combining

what's going on in one brain region with

the other brain region and seeing

exactly what's happening so you're not

doing these these correlational studies

but instead when you want to predict

what's going to happen you can follow

how the activity is really moving down

the system you couldn't do this before

so it's changing the nature of what's

possible in Neuroscience it's changing

what new people getting into that field

can do yeah all right great answer um so

Joshua maybe you have something to add

to this well I think I think um to to

always play The Other Side to understand

the um you know here we have the

researchers and brilliant minds but the

average person may not understand how we

are processing this right so I I always

say I me to go back to the the theme of

this education I always say education is

marketing marketing is education so when

we have it for the masses and why we're

doing it in gaming 70 million users a

day in Roblox gamifying that when you

have education and you gamify it and you

gamify it in a way with neuroscience and

different ways to understand information

and you Market it correctly when you

roleplay becoming something like in

Roblox sometimes you show 9 to 11 times

more retention of that information right

so I mean with that number like even if

we have 2X the compounding amount for

Education if it's daily then by the end

of the year I mean you do the math so I

think that's where we see in the future

look at education in a different way a

different light and with the AI applied

to that gamification of these spatial

webs these spatial worlds with the

gaming and the internet combined is what

I call the spatial web now ai helps you

that take that 2x to 3x to 4X and that

when you talk about education and then

now apply it to science and learning

science that is the future and I think

that is a daily augmentation of

understanding yourself and that's why I

go back to pain to Joy and tomorrow

hopefully UNC conference that daily

personal growth of understanding

yourself it is personalized medicine you

know you have that based on you and that

in real time if gamified you're in real

time playing your own world you're in

your own sphere of influence and that's

what's best for you so I think that

that's what it looks like for education

and understanding how we make it

marketable for the average person so for

me to take and synthesize all of this

information which most the world doesn't

understand but if we can synthesize it

in a way that it is marketable and we

can go to market with something that's

different I think that that's actually

unique yeah yeah okay um yeah I

understand that the question that has

some also has some dangers I mean you

look at open AI that just flooded the

floor with all kinds of Technology um uh

we can see that there is biases going on

uh if you look up personal medicine you

have a danger of biases maybe Kennedy

you can uh say something about well yeah

I mean the most um publicly facing

example of this that we've seen recently

is that pulse oximeters don't work on

people with dark skin that's an example

of bias in biomedical research that we

have fallen victim to up until now um

and that's something that we we have to

change I mean if personalized medicine

is going to succeed if we're going to um

create effective therapies that work um

you know on the personal level and for

everybody we need to alleviate that and

I mean I I believe that starts with um

you know how we go about um sourcing our

our data from diverse populations to

help remove that bias and then also

making sure that our our AI models um

control for that bias as well so yeah

yeah so you're touching

inclusivity um so uh maybe you can tell

something about Jam Galaxy and maybe

this is about something about

inclusivity yeah sure I mean the the

great thing about Jam Galaxy is it's

starting with music and everybody loves

music and we are all made of music

together we're music music the whole

universe is music and it's a cool way to

begin because there so many people are

digging into this passion of theirs that

they really enjoy and um through that

process we we can start to educate

people on these topics that we all know

very well and um and also through

gamification as well I I really think

that's a cool way to like just start to

teach and

um and help people understand what's

happening and what can happen and um and

then from there we just kind of we we

just end up on this journey together you

know as I mean I think of us all as like

stars we're each of us is a star and our

relationship to each other is like stars

relating to stars and stuff like that so

um it it starts us on this journey of

discovery of um our own divine nature

and um and where we go with all this we

have AGI and you know an ancient

intelligence here to teach us about how

to do this and it'll be accelerated but

at the same time AI can also help each

individual it will meet them where

they're at to help them on their path so

it's not just like you know here here's

what it is you know that kind of thing

so it's just like asks a bunch of

questions has a really great

conversation um about um you know

discovering your joy discovering what

makes you happy discovering why you are

so special and

um so I um starting with music is just a

really great way to to do that and um

yeah I'm I'm really excited about the

future I think we have a really

beautiful future in store for us all

right yeah thank you um yeah great

answer anyway um so uh it's time thing

to to bring a new topic uh into the

discourse uh and I this is I want to

talk about

ethics um these these domains have huge

impact on the new

generation uh because the students of

today are the leaders of tomorrow um so

how can we navigate the ethical

considerations and maximize the benefits

of AI in these key Industries U maybe I

can start with you

Debra okay um well um AGI is a neutral

technology it can be ethical or

unethical depending on who uses it and

what they use it for um in a sense it's

unethical and that uh it's a power and

it's a power that is can be given to

everybody now and and is dangerous in

the sense of everybody having a nuclear

bomb in their backyard being dangerous

somebody's going to press a button right

so what we have to do to be ethical

about it is address um the possible

things that can go wrong

as soon as possible and one of the main

things that can go wrong is

disinformation uh election tampering uh

job loss and you know just changing our

perceptions of reality and one of the

things we can do to combat that is use

the AGI itself to simulate what happens

to our social structures when they have

uh uh certain um um infrastructure

behind them and who's who's working with

them and how how is it that we can uh

cause a fundamental change in that uh

ru. is working to combine blockchain to

cause a change in that infrastructure so

that uh instead of the rich getting

richer and the poor getting poor that

that labor is cannot be sold uh to other

people so easily that that people can

always expect their

a IP and their data from their bodies to

be protected and that the blockchain

ensures that with every sale of product

that someone contributes to that they

get uh their Fair compensation in

proportion all right thank you um so

Joshua maybe have something to add on

that I think I was talking to Ben about

this um yesterday he's begin to

education and so this I think it starts

with education um we were talking about

uh basically a consumer reports for

education and Tools around AI so

education and from a non-biased point of

view and this with snet being the

largest decentralized ecosystem I think

this is a great uh opportunity to kind

of lead the charge and 100 you know AI

companies out there 100 universities 100

multinationals that support this you

know growing knowing this is the future

of humanity what that looks like so like

almost like a Reddit up voting hey this

is a very decentralized way if I have a

six-year-old and I'm a young single

mother how do I teach my kid AI for

video just to enhance he wants to create

a YouTube channel or Tik Tok right so in

real time you're able to understand um

that Collective force of knowledge and

that enforcement and from a non-biased

point of view and I think that's it's

very important for a ethics so education

being that Focus um and letting the

cream rise to the top and that being the

focus all right thank you um so uh Diane

I see you're nodding so maybe you have

something to add on this

uh yeah I was just thinking about um

just in relation to um educating and

connecting with

people

um with um I lost my train of thought it

was what I was uh thinking about uh

before this but

um

um oh yeah so just um as we get into the

system and as we get into educating I

actually um when my daughters were

really young I I devel I designed an

early childhood development program and

I'm going to launch it at some point but

um it kind of just starts the individual

down the path and so I think it's really

important that um from the start we put

together a system where people own all

of their data they own their music they

own their art they own their attention

also so you like own what you pay

attention to you own a record of your

attention you own the present attention

you own any prediction of attention

based on what you pay attention to and

so I think that that's also a huge thing

that we can start to teach each other

because then they become more aware of

what is actually happening out there in

society and then if we're connected to

um owning that and deciding what we want

to be putting out there and and that

kind of thing then I think that can kind

of help curb that path all right thank

you yeah because we want to to keep the

systems inclusive for everyone so uh so

Randle what's your opinion on that

one yeah so I think that an an

enormously important thing in all types

of Ethics is that you you can't assume

that any one group of people individuals

institutions can understand a problem

can understand something well enough to

even think of all of the ethical issues

that might be involved or how to tackle

those matters so that's where we kind of

come back to a topic from yesterday

which was openness decentralization open

source all of those aspects that put

more eyes onto something because as

we've seen over history as our our own

sort of human civilization moral values

and ethics have grown this has come

largely by being more in contact with

others outside of our limited Circle so

with getting other people included into

the conversation those you might not

think of so we had for example you just

mentioned this issue of dark skin right

so it's really a matter of inclusiveness

and openness that's the way to get

closer to a better understanding

especially if we're not just looking at

say Ethics in terms of the development

of AGI but we're also talking about

ethics of the people who are being

impacted by it by society as large or

patients in the case of medical

technology for example so there are just

so many different groups and you really

have to open it up yeah yeah all right

thank you uh what that brings me on uh

one of the classic ethical dilemmas and

also one of the most complex one and it

is the access to education access to

medicines exent access to Arts uh and

and access to to knowledge so Kennedy

can you say something about that because

I know that you have an opinion on

that right so um so yes access is very

very important and you know as I keep

hammering this this uh this thought

about what's going to make personalized

medicine work and that's in including

everybody and that starts with making

sure that everybody has access like

everybody you know needs to have an

access point to to contribute their data

to own their data um which starts with

you you know internet access for

everybody everybody having some kind of

a a computer or device that they can

they can um use to you know own their

data own their money own their their um

own their labor and be able to have

agency and um and authority over what is

done with that data as well that is

Paramount and that is really where like

the revolution particularly in in AGI

for biom research is going is going to

come and that's how we're going to you

know come up with beneficial treatments

for various diseases faster with a

reduced failure rate get across that

translational value of death going from

the lab to the clinic and um it's it it

is absolutely Paramount that this is for

everybody and that we stop siloing data

and siloing information with big

multinational corporations with big

Pharma companies decentralization is is

key and being in inclusivity and access

is

Paramount yes thank you um so maybe

Debra you have to something as ADD as

well to this I completely agree with

Kennedy but I would also like to add

that it's not just decentralized data

but decentralized AI for decentralized

science that we must include everybody's

contribution and if we unlock um the

talents of people who you know have been

suppressed because of their demography

or their educational background and we

include them in there then we have all

the more knowledge with which to put

together and do holistic pictures yeah

okay that makes sense um so that yeah so

uh how do we see how could AGI

contribute uh to increase this access

I'm looking at you Randall sorry yeah um

how AGI can contribute to access well in

the domains that we talk about yeah so

so in order to to improve ethics for

example in in the development of AGI

itself um I think in part it can do so

by making it possible for people to

participate that otherwise wouldn't

because they would have to spend

enormous amount of time studying how to

have the skills to do very mundane

things just to be able to be involved at

all in the conversation but instead

through the use of AGI as a way to pull

together knowledge get better access to

that knowledge apply it you you make

this available to many more people a

great example actually has been for

example the neurom match Academy so one

of the most wonderful uh neuroscientists

that I've worked with is Conrad cording

at University of Pennsylvania and uh he

has really emphasized not just what

neuroscientists are doing wrong right

now and how we should be working instead

but he's also uh Been instrumental in

creating this neurom match Academy which

is free to all you can just participate

online you spend a few weeks working

there and learning how to use machine

learning an AI in Neuroscience in this

case right so you could do this for

other Sciences as well so this is this

is kind of democratizing the access to

those Technologies and bringing people

in who otherwise wouldn't have known

about it wouldn't have known how to

apply it to their problems wouldn't have

even thought about it but because

they're becoming involved they're also

going to start thinking about issues

related to AI because they're now really

dealing with it they're touching it

every day so that was a fantastic

experience helping to lecture there yeah

okay thank you and um Joshua what is

your vision on this one no it's

interesting I think education and

Healthcare are the two slowest moving in

terms of legislation legislation is

going to be a part of um that of course

it's funny because that's why I stayed

in China as the healthc care side sign a

form we the only a public private party

to connect to the Chinese FDA for the

Health Data so knowing that in to end um

was a whole system that I thought of but

it basically knew that legislation would

just wa took way too long but being able

to control more of it in the gaming side

that's more realistic for me anyway so

being able to see that it come to life

with just the internet connection that's

why with a Roblox it's low poly it

basically doesn't even need a smartphone

and your access to those 70 million kids

a day is actually very tangible in terms

of being able to communicate and have

that gameification and with that form of

gameification in the future as 5 10

years out with

you know spatial web you have apple

Vision Pro and various things in

different contexts physical non-physical

online offline I think they're going to

take on a new realm of what is reality

right and that new reality will be able

to help education help science in a

different way that we've yet even begun

to see we honestly can't even fathom it

so I think that with that I think that's

the next Frontier in education is for

what I can see tangibly being able to to

to to do now because of

legislation slowing things up that's why

I actually exited um Healthcare um but I

can control more of it in this side so

that is interesting to see kind of the

Paradigm of both sides you know and that

AI education I think in terms of

marketing is education education is

marketing if we can reach the masses in

a way that we articulate that balance so

anything good taken to the extreme can

be bad as long as we understand that

balance I think that'll be the key okay

and based on your answer then I have a

question also for others but uh should

we accelerate or slowing down the

development of

ACI well no I think that I I for for me

it's like any press is good press it's

like so if we basically continue on this

conversation of we're here today because

we're having this conversation and we're

having and communicating around this so

for me having this where the people may

not even understand what we're up

against and there may be something that

we have to slow down right but since

we're having that conversation if we

don't actually bring it to the table and

communicate we have to understand that

balance so what is what is that extreme

and we have to understand the data one

way or another and so that extremeness

we just have we have to see this is the

extreme this is the extreme and then the

balance of the two and that's what I

think that we're here today I know this

particular conversation in this

particular audience with this particular

demographic may think one way and then

we have you know the other side but we

have to take a balance of all of it we

can't just be biased because we have

this set of people in this set structure

because you know collectively we think

this way but other people in the world

may think differently so those also have

unique Minds so how do we balance all of

it yeah but yeah but that that brings uh

challenges to the table because science

is very slow the whole system is based

on per you it takes some years to to

publish stuff education sometimes is

very conservative and now the

acceleration is going so fast that um

these domains can keep up so actually

you're creating not even a gap but even

a void uh so that's a real challenge so

maybe Kennedy you can say something

about this oh yeah and I think um I

think the the real basis for for solving

those issues comes with um good

regulation a good regulatory framework I

mean in in our case with with biomedical

research like the FDA is so slow and

getting um trials approved medicine

approved all of that is is just a

nightmare of red tape I mean from the um

you know aging related disease

perspective you can't even file for a

trial or a or a pilot for an aging

related disease you have to have a

specific disease indication well 90% of

chronic diseases is caused by the aging

process so if you are able to conduct a

trial that looks more like aspects of

Aging you could solve multiple diseases

at once but no that would be too

efficient I guess um so you we're still

stuck in this like traditional way of

going after one one disease indication

and then hoping it has anti-aging or

regenerative side effects which is just

like it's so it's so slow so I think

that the um the the answer to this issue

starts with a a um regulatory framework

that is appropriate for the um

technological environment that we're

facing and how it can maximally benefit

all these fields well thank you for your

answer I think this is a great uh final

word because I have the message that we

have to stop and you go to lunch uh I

hope you find this uh 35 minutes

insightful um and maybe with it will

bring further discussions on later on

thank you very

much thank you

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