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

RejuveAI
8 Mar 202435:06

Summary

TLDRThe 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

  • ๐ŸŽจ The importance of integrating Arts with AI, education, medicine, and science was highlighted as creativity is a fundamental human trait.
  • ๐Ÿง  Eric Schenk, a moderator with a background in cognitive and social neuroscience, emphasized the relevance of trust systems in the brain to AI development.
  • ๐Ÿ’ก 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.
  • ๐ŸŽ“ Joshua Johnson shared his diverse background, from pharmaceutical supply chain to education and gaming, and his interest in integrating human purpose into AI.
  • ๐Ÿงฌ 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.
  • ๐ŸŽถ Di Krauss, president of Jam Galaxy, spoke about the power of music as a universal language and its role in education and gamification.
  • ๐Ÿงฌ Kennedy Shaw, CEO of ruv biotech, is building a drug discovery platform using neurosymbolic AI and crowdsourced data to combat aging-related diseases.
  • ๐Ÿ” The panelists agreed on the need for diverse and inclusive data sets to avoid biases and develop effective personalized medicine.
  • ๐Ÿค– 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.
  • ๐ŸŒ The conversation touched on the importance of decentralization and inclusivity in AGI development, ensuring that a wide range of perspectives are considered.
  • ๐Ÿš€ 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

๐ŸŒŸ 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

๐Ÿ› ๏ธ 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

๐ŸŽ“ 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

๐ŸŽต 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

๐Ÿ”ฎ 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

๐ŸŒ 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

๐Ÿš€ 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.

๐Ÿฅ 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.

๐ŸŒ 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.

Mindmap

Keywords

๐Ÿ’กArtificial 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.

๐Ÿ’กCognitive 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.

๐Ÿ’กWhole 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.

๐Ÿ’กNeuroscience

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.

๐Ÿ’กEducation

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.

๐Ÿ’กPersonalized 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.

๐Ÿ’กEthics

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.

๐Ÿ’กInclusivity

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.

๐Ÿ’กBlockchain

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.

๐Ÿ’กGamification

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.

๐Ÿ’กSpatial 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

play00:09

welcome to the early stage AI

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Technologies in education medicine and

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science but it would add Arts as well

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because Arts is very important we are

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humans are creative beings so it's the

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fundamental that makes us human um my

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name is uh Eric scen I the moderator of

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this panel have a background in

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cognitive and social neuroscience and I

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study Trust Systems in the brain which

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is very relevant for a systems as well

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uh because they will develop their own

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Trust Systems um I'm a lecturer at the

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Hans University in the Netherlands uh so

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these topics are actually touching my

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personally and um I glad that we have

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such a diversive and inclusive panel um

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I think that we have a great

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conversation the coming 35 minutes

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minutes um so what I want to do without

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further Ado that everyone is introducing

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themselves within 2 minutes so go ahead

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uh my name is Deborah dang and I am CTO

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of reu

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ru. um the uh longevity Network that is

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AI power um I've been a computational

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social scientist for over 30 years

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applying AI to understanding nature

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includ biological and social

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Realms I am Joshua Johnson hello thank

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you so much for having us um we're

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looking forward to talking about

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education and Science and different

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things today I uh have somewhat of a a

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balance of a background I started in h

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China did my MBA and was in cof farm

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which is the largest pharmaceutical

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supply chain in the in China so I have

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some science background uh but now

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focusing on education and gaming so

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we're doing uh gaming ging with Sophia

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verse and then Jam Galaxy now we're

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bringing that to life in Roblox so we've

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been focused on Roblox and gaming and

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gamifying what that looks like the

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future of the world and the spatial web

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um and then also very interested in

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augmenting human purpose into AI that's

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what my thesis way back when talking

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about AI ethics kind of before it was a

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thing um so that's very interesting to

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me and hopefully tomorrow maybe we can

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talk about at the unconference I was

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talking to Max more about that and um

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you know pain to Joy is the curricul

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that we have so that process of helping

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people in that daily Journey um in their

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personal daily daily growth and Lasting

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

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the founder of the carbon copies

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foundation and I'm also originally from

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the

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Netherlands um I've spent maybe the last

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20 or more years uh trying all kinds of

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different ways to help Advance work on

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so-called whole brain emulation so

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getting towards the technology that

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allows mind uploading and in our

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foundation we try to do this by first of

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all educating people about it and

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secondly by being a place where we can

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find how to put people together into

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projects that deal with the most crucial

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challenge of this time in that direction

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if we want to go in the direction where

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we as humans can participate in this

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bigger ecosystem of intelligences that's

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coming up and I think that uh I don't

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know if we're getting to get to it in

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this conversation but there are some

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really interesting uh new things that

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have happened in neuros science because

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of the way that artificial intelligence

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has allowed us to collect and correct

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data so that we now have really large

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scale data sets that would actually I

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think there's an even odds that we could

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for example create an upload an

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emulation of a fruit fly right now if we

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knew what we were doing using the data

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sets that are available from the

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complete electron microscopy data stack

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of the of the fruit

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fly

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

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president and co-founder of the jam

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Galaxy music platform and I'm also

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saxophonist in Des demona's dream and um

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

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kind of halfway there because we have

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like rehearsal and soundcheck right

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after this and then the show so I hope

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you all come I think it's in the

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infinity room tonight um but yeah a

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little bit of my background um I in in

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2011 um I had like a vision downloaded

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to me for the global brain and I have to

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put this all on paper but um it just in

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listening to everybody's conversations I

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believe I have a way to to put this all

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together so uh and actually working with

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you is going to be probably pretty

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instrumental in that I think um and uh

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I've been studying uh I started studying

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artificial intelligence in um uh 2017

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and um you know studied really hard and

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learned everything I could just so I

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could understand it and then like a year

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year later I met Ben and uh I I said oh

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I have this concept for a global brain

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

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wrote this you know paper three weeks

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ago about a concept for a global brain

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and I'm like okay that's cool and

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

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a cool place right now in history and

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things are going to be changing so

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rapidly but in really good ways um I I

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grew up with um a dad who's a rocket

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scientist um Ken arism and he built the

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Voyager One and Voyager 2 spacecraft um

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uh propulsion subsystems and hydren

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thrusters and he also worked on the uh

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Viking program so uh I've always been a

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daughter of the stars and I I really

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think about existence as really cool and

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I U really see the beauty in everyone

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and how everybody is just an absolute

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perfect miracle and that's what we need

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to remember and that's what artificial

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general intelligence is going to help us

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remember and I also just heard that

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there was a panel that talked about

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ancient intelligence and um which is

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really cool because I think of AI as

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ancient intelligence and it's just a way

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it's going to help us tap into all that

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there already is that already exists and

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um artificial super intelligence already

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exists as well so we're just going to be

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tapping into that as we move forward and

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at pretty quick pace so

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um we can build systems though that can

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meet people where they're at to start to

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understand this

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journey and um so yeah I'm just really

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excited about this and excited to be

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here with all of you what an incredible

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event we've put together and what

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incredible people to be able to

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introduce uh beneficial benevolent

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artificial general intelligence to the

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universe yeah awesome hi I'm Kennedy

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Shaw I'm CEO and founder of ruv biotech

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um the sister company to ruv AI um I'm

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an evolutionary biologist by training I

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was mentored by Michael Rose at UC

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Irvine and we are here building a um

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drug Discovery platform based on our

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neuros symbolic Ai and crowdsourced

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human data and with the goal of solving

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aging related disease and human

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longevity um rev bio is currently doing

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a crowdfund the QR code was up there

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will be back up there in a bit so you

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can link to that if anybody is

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interested in learning more about that

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so thank you Eric oh thank you uh as you

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can see a very diverse panel uh that

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that makes the conversation great uh

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hopefully um what I find interesting

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this topic has already impact on society

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uh but also on economy uh as a lecturer

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my students asked me how does my uh

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future looks like in four to six years

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and honestly I don't know because it's

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changing the technology is changing so

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fast at the moment that what they learn

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at the moment is obsolete within four or

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five years so it's not the fundamental

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crisis that you have in education but we

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have to think about this and this is why

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I'm great that we have this summmer that

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we can have this kind of

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discussions um so the main topic is how

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can we fac facilitate the roll out of

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early stage hii Technologies and

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beneficial domains as education medicine

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science and art so what I want to do uh

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for for example Kennedy what is your

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expertise or Vision on on on this topic

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um I think uh in the field of biomedical

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research um what will be really

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important is um ensuring the diversity

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of our data sets um one thing that's

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really exciting to me about the the ruv

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project and being a part of it is that

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we have an opportunity to finally gain a

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diverse robust human data set to uh use

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our AI to um develop uh real life-saving

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Pharmaceuticals and in the March towards

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personalized medicine that's going to be

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crucial because the Paradox of

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personalized medicine is that in order

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to understand one person really well you

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have to understand a lot of people very

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well and um we've kind of uh failed in

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the biomedical research Community to do

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that up until now most human data sets

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that we have from Human trials um tend

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to be wealthier white people and we

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won't be able to have personalized

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medicine for everybody unless that

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changes and so I think that's really a

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crucial thing in the early roll out of

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AGI in um biomedical research is making

play09:42

um it accessible for everybody to

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contribute their data making sure that

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there is an adequate and appropriate

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incentive for people to contribute their

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data and um letting them be a part of

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the creation of these these products and

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this research to um to solve uh aging

play10:00

and death all right great thank you for

play10:03

your answer and uh Deborah okay can you

play10:06

elaborate something on on this topic as

play10:08

well uh yes um well the most important

play10:11

thing uh for us to do in the near term

play10:14

uh is to apply uh AGI to science because

play10:18

AGI also has the potential for

play10:21

disinformation and human beings

play10:24

themselves don't do science very well uh

play10:26

we can only handle reductionist

play10:29

information so our job is really to take

play10:33

all those individual pieces of knowledge

play10:35

and put it together in a coherent

play10:37

picture and I believe AGI is what can

play10:40

help us to be holistic about science and

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find uh discover all the causal

play10:46

mechanisms behind it so that we can take

play10:49

all these you know scattered small

play10:51

truths and make larger trues out of them

play10:54

all right so you form the deterministic

play10:58

school so to speak

play11:00

um a little

play11:01

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

play11:04

is deterministic I think we have

play11:07

willpower to um um affect um how things

play11:12

go for example um you know we may only

play11:15

have a short time to have control

play11:17

because we don't have control over ASI

play11:20

so no well I'm a little bit from the

play11:22

same school that's why I saying so if

play11:25

you go then to the other uh realm from

play11:28

the holy view maybe Randle can say

play11:31

something about this the holistic view

play11:33

yeah I don't know if my view is really

play11:36

holistic but um what I found anyway is

play11:39

that there's first of all of course

play11:40

there's a really strong connection

play11:42

between advances in Ai and AGI

play11:44

eventually and Neuroscience there's this

play11:47

virtuous cycle that happens right

play11:48

because as you learn something in

play11:49

Neuroscience you find out more about how

play11:51

cognition is done in the brain and that

play11:54

helps you come up with parts of this AI

play11:56

or AGI puzzle that we're still trying to

play11:58

figure out and AI helps you do things in

play12:01

science that you otherwise could never

play12:02

do so it's not that people are being

play12:04

replaced for example by or at least in

play12:07

science right now they're not being

play12:08

replaced by AI it's that the things they

play12:10

can do are very different right now

play12:12

you're seeing a huge Paradigm change

play12:14

begin to happen in Neuroscience for

play12:16

instance like I was at the uh annual

play12:18

Neuroscience meeting in November there

play12:20

30,000 scientists there 90% of the

play12:23

posters were still all about say you

play12:25

make a little perturbation here you have

play12:27

a hypothesis you're testing something up

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here doing a prediction that's it you're

play12:30

not really learning about the system and

play12:31

how it works but there's a small kernel

play12:33

of people and that's all you really need

play12:35

a small kernel and then some

play12:36

enthusiastic young people who aren't

play12:38

stuck in whatever their lab's already

play12:39

doing and so you're seeing that there

play12:41

are 200 maybe scientists who have

play12:43

understood that right now we're

play12:44

switching to a realm where AI is giving

play12:47

us access to the kind of data that you

play12:49

need that you can do large scale

play12:51

reconstructions of circuitry and really

play12:53

understand what's happening by combining

play12:54

what's going on in one brain region with

play12:56

the other brain region and seeing

play12:57

exactly what's happening so you're not

play12:59

doing these these correlational studies

play13:01

but instead when you want to predict

play13:02

what's going to happen you can follow

play13:04

how the activity is really moving down

play13:05

the system you couldn't do this before

play13:08

so it's changing the nature of what's

play13:09

possible in Neuroscience it's changing

play13:11

what new people getting into that field

play13:13

can do yeah all right great answer um so

play13:17

Joshua maybe you have something to add

play13:19

to this well I think I think um to to

play13:23

always play The Other Side to understand

play13:25

the um you know here we have the

play13:27

researchers and brilliant minds but the

play13:29

average person may not understand how we

play13:32

are processing this right so I I always

play13:36

say I me to go back to the the theme of

play13:38

this education I always say education is

play13:40

marketing marketing is education so when

play13:43

we have it for the masses and why we're

play13:46

doing it in gaming 70 million users a

play13:48

day in Roblox gamifying that when you

play13:51

have education and you gamify it and you

play13:53

gamify it in a way with neuroscience and

play13:56

different ways to understand information

play13:59

and you Market it correctly when you

play14:00

roleplay becoming something like in

play14:02

Roblox sometimes you show 9 to 11 times

play14:05

more retention of that information right

play14:08

so I mean with that number like even if

play14:10

we have 2X the compounding amount for

play14:13

Education if it's daily then by the end

play14:15

of the year I mean you do the math so I

play14:18

think that's where we see in the future

play14:20

look at education in a different way a

play14:22

different light and with the AI applied

play14:24

to that gamification of these spatial

play14:27

webs these spatial worlds with the

play14:29

gaming and the internet combined is what

play14:30

I call the spatial web now ai helps you

play14:33

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

play14:38

when you talk about education and then

play14:40

now apply it to science and learning

play14:43

science that is the future and I think

play14:45

that is a daily augmentation of

play14:48

understanding yourself and that's why I

play14:49

go back to pain to Joy and tomorrow

play14:51

hopefully UNC conference that daily

play14:53

personal growth of understanding

play14:56

yourself it is personalized medicine you

play14:59

know you have that based on you and that

play15:02

in real time if gamified you're in real

play15:05

time playing your own world you're in

play15:07

your own sphere of influence and that's

play15:10

what's best for you so I think that

play15:11

that's what it looks like for education

play15:13

and understanding how we make it

play15:16

marketable for the average person so for

play15:19

me to take and synthesize all of this

play15:21

information which most the world doesn't

play15:24

understand but if we can synthesize it

play15:26

in a way that it is marketable and we

play15:29

can go to market with something that's

play15:30

different I think that that's actually

play15:32

unique yeah yeah okay um yeah I

play15:35

understand that the question that has

play15:37

some also has some dangers I mean you

play15:40

look at open AI that just flooded the

play15:43

floor with all kinds of Technology um uh

play15:46

we can see that there is biases going on

play15:50

uh if you look up personal medicine you

play15:52

have a danger of biases maybe Kennedy

play15:54

you can uh say something about well yeah

play15:56

I mean the most um publicly facing

play15:59

example of this that we've seen recently

play16:01

is that pulse oximeters don't work on

play16:03

people with dark skin that's an example

play16:06

of bias in biomedical research that we

play16:08

have fallen victim to up until now um

play16:11

and that's something that we we have to

play16:13

change I mean if personalized medicine

play16:15

is going to succeed if we're going to um

play16:18

create effective therapies that work um

play16:21

you know on the personal level and for

play16:22

everybody we need to alleviate that and

play16:25

I mean I I believe that starts with um

play16:27

you know how we go about um sourcing our

play16:30

our data from diverse populations to

play16:32

help remove that bias and then also

play16:34

making sure that our our AI models um

play16:37

control for that bias as well so yeah

play16:40

yeah so you're touching

play16:42

inclusivity um so uh maybe you can tell

play16:45

something about Jam Galaxy and maybe

play16:47

this is about something about

play16:49

inclusivity yeah sure I mean the the

play16:51

great thing about Jam Galaxy is it's

play16:53

starting with music and everybody loves

play16:55

music and we are all made of music

play16:57

together we're music music the whole

play16:59

universe is music and it's a cool way to

play17:02

begin because there so many people are

play17:06

digging into this passion of theirs that

play17:08

they really enjoy and um through that

play17:11

process we we can start to educate

play17:13

people on these topics that we all know

play17:16

very well and um and also through

play17:19

gamification as well I I really think

play17:21

that's a cool way to like just start to

play17:23

teach and

play17:24

um and help people understand what's

play17:28

happening and what can happen and um and

play17:32

then from there we just kind of we we

play17:34

just end up on this journey together you

play17:36

know as I mean I think of us all as like

play17:38

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

play17:41

relationship to each other is like stars

play17:43

relating to stars and stuff like that so

play17:46

um it it starts us on this journey of

play17:50

discovery of um our own divine nature

play17:53

and um and where we go with all this we

play17:57

have AGI and you know an ancient

play18:00

intelligence here to teach us about how

play18:03

to do this and it'll be accelerated but

play18:06

at the same time AI can also help each

play18:10

individual it will meet them where

play18:12

they're at to help them on their path so

play18:13

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

play18:15

what it is you know that kind of thing

play18:16

so it's just like asks a bunch of

play18:18

questions has a really great

play18:20

conversation um about um you know

play18:24

discovering your joy discovering what

play18:26

makes you happy discovering why you are

play18:29

so special and

play18:31

um so I um starting with music is just a

play18:36

really great way to to do that and um

play18:39

yeah I'm I'm really excited about the

play18:41

future I think we have a really

play18:42

beautiful future in store for us all

play18:45

right yeah thank you um yeah great

play18:48

answer anyway um so uh it's time thing

play18:51

to to bring a new topic uh into the

play18:53

discourse uh and I this is I want to

play18:55

talk about

play18:56

ethics um these these domains have huge

play18:59

impact on the new

play19:01

generation uh because the students of

play19:04

today are the leaders of tomorrow um so

play19:06

how can we navigate the ethical

play19:08

considerations and maximize the benefits

play19:10

of AI in these key Industries U maybe I

play19:13

can start with you

play19:16

Debra okay um well um AGI is a neutral

play19:23

technology it can be ethical or

play19:26

unethical depending on who uses it and

play19:29

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

play19:32

unethical and that uh it's a power and

play19:35

it's a power that is can be given to

play19:39

everybody now and and is dangerous in

play19:42

the sense of everybody having a nuclear

play19:46

bomb in their backyard being dangerous

play19:48

somebody's going to press a button right

play19:50

so what we have to do to be ethical

play19:52

about it is address um the possible

play19:57

things that can go wrong

play19:58

as soon as possible and one of the main

play20:01

things that can go wrong is

play20:03

disinformation uh election tampering uh

play20:07

job loss and you know just changing our

play20:11

perceptions of reality and one of the

play20:13

things we can do to combat that is use

play20:17

the AGI itself to simulate what happens

play20:20

to our social structures when they have

play20:25

uh uh certain um um infrastructure

play20:29

behind them and who's who's working with

play20:32

them and how how is it that we can uh

play20:35

cause a fundamental change in that uh

play20:38

ru. is working to combine blockchain to

play20:42

cause a change in that infrastructure so

play20:44

that uh instead of the rich getting

play20:46

richer and the poor getting poor that

play20:49

that labor is cannot be sold uh to other

play20:53

people so easily that that people can

play20:56

always expect their

play20:58

a IP and their data from their bodies to

play21:01

be protected and that the blockchain

play21:03

ensures that with every sale of product

play21:05

that someone contributes to that they

play21:07

get uh their Fair compensation in

play21:10

proportion all right thank you um so

play21:13

Joshua maybe have something to add on

play21:15

that I think I was talking to Ben about

play21:17

this um yesterday he's begin to

play21:19

education and so this I think it starts

play21:20

with education um we were talking about

play21:23

uh basically a consumer reports for

play21:26

education and Tools around AI so

play21:28

education and from a non-biased point of

play21:30

view and this with snet being the

play21:33

largest decentralized ecosystem I think

play21:36

this is a great uh opportunity to kind

play21:38

of lead the charge and 100 you know AI

play21:41

companies out there 100 universities 100

play21:44

multinationals that support this you

play21:46

know growing knowing this is the future

play21:47

of humanity what that looks like so like

play21:50

almost like a Reddit up voting hey this

play21:52

is a very decentralized way if I have a

play21:53

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

play21:55

mother how do I teach my kid AI for

play21:58

video just to enhance he wants to create

play22:00

a YouTube channel or Tik Tok right so in

play22:02

real time you're able to understand um

play22:06

that Collective force of knowledge and

play22:08

that enforcement and from a non-biased

play22:11

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

play22:13

very important for a ethics so education

play22:16

being that Focus um and letting the

play22:18

cream rise to the top and that being the

play22:21

focus all right thank you um so uh Diane

play22:25

I see you're nodding so maybe you have

play22:26

something to add on this

play22:28

uh yeah I was just thinking about um

play22:31

just in relation to um educating and

play22:34

connecting with

play22:35

people

play22:37

um with um I lost my train of thought it

play22:41

was what I was uh thinking about uh

play22:44

before this but

play22:46

um

play22:48

um oh yeah so just um as we get into the

play22:53

system and as we get into educating I

play22:55

actually um when my daughters were

play22:57

really young I I devel I designed an

play22:59

early childhood development program and

play23:02

I'm going to launch it at some point but

play23:04

um it kind of just starts the individual

play23:06

down the path and so I think it's really

play23:08

important that um from the start we put

play23:11

together a system where people own all

play23:13

of their data they own their music they

play23:15

own their art they own their attention

play23:18

also so you like own what you pay

play23:21

attention to you own a record of your

play23:23

attention you own the present attention

play23:26

you own any prediction of attention

play23:28

based on what you pay attention to and

play23:30

so I think that that's also a huge thing

play23:32

that we can start to teach each other

play23:33

because then they become more aware of

play23:35

what is actually happening out there in

play23:38

society and then if we're connected to

play23:41

um owning that and deciding what we want

play23:43

to be putting out there and and that

play23:45

kind of thing then I think that can kind

play23:47

of help curb that path all right thank

play23:49

you yeah because we want to to keep the

play23:51

systems inclusive for everyone so uh so

play23:54

Randle what's your opinion on that

play23:56

one yeah so I think that an an

play23:59

enormously important thing in all types

play24:01

of Ethics is that you you can't assume

play24:04

that any one group of people individuals

play24:06

institutions can understand a problem

play24:08

can understand something well enough to

play24:11

even think of all of the ethical issues

play24:12

that might be involved or how to tackle

play24:15

those matters so that's where we kind of

play24:17

come back to a topic from yesterday

play24:19

which was openness decentralization open

play24:22

source all of those aspects that put

play24:23

more eyes onto something because as

play24:25

we've seen over history as our our own

play24:28

sort of human civilization moral values

play24:30

and ethics have grown this has come

play24:32

largely by being more in contact with

play24:34

others outside of our limited Circle so

play24:37

with getting other people included into

play24:39

the conversation those you might not

play24:41

think of so we had for example you just

play24:43

mentioned this issue of dark skin right

play24:45

so it's really a matter of inclusiveness

play24:48

and openness that's the way to get

play24:50

closer to a better understanding

play24:52

especially if we're not just looking at

play24:53

say Ethics in terms of the development

play24:57

of AGI but we're also talking about

play24:58

ethics of the people who are being

play25:01

impacted by it by society as large or

play25:04

patients in the case of medical

play25:05

technology for example so there are just

play25:07

so many different groups and you really

play25:08

have to open it up yeah yeah all right

play25:11

thank you uh what that brings me on uh

play25:14

one of the classic ethical dilemmas and

play25:16

also one of the most complex one and it

play25:19

is the access to education access to

play25:22

medicines exent access to Arts uh and

play25:25

and access to to knowledge so Kennedy

play25:29

can you say something about that because

play25:30

I know that you have an opinion on

play25:32

that right so um so yes access is very

play25:36

very important and you know as I keep

play25:39

hammering this this uh this thought

play25:42

about what's going to make personalized

play25:43

medicine work and that's in including

play25:46

everybody and that starts with making

play25:47

sure that everybody has access like

play25:50

everybody you know needs to have an

play25:52

access point to to contribute their data

play25:54

to own their data um which starts with

play25:57

you you know internet access for

play25:59

everybody everybody having some kind of

play26:01

a a computer or device that they can

play26:03

they can um use to you know own their

play26:06

data own their money own their their um

play26:10

own their labor and be able to have

play26:14

agency and um and authority over what is

play26:19

done with that data as well that is

play26:22

Paramount and that is really where like

play26:23

the revolution particularly in in AGI

play26:26

for biom research is going is going to

play26:29

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

play26:31

know come up with beneficial treatments

play26:33

for various diseases faster with a

play26:36

reduced failure rate get across that

play26:38

translational value of death going from

play26:40

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

play26:44

is absolutely Paramount that this is for

play26:47

everybody and that we stop siloing data

play26:50

and siloing information with big

play26:53

multinational corporations with big

play26:55

Pharma companies decentralization is is

play26:57

key and being in inclusivity and access

play27:01

is

play27:03

Paramount yes thank you um so maybe

play27:06

Debra you have to something as ADD as

play27:08

well to this I completely agree with

play27:10

Kennedy but I would also like to add

play27:13

that it's not just decentralized data

play27:14

but decentralized AI for decentralized

play27:17

science that we must include everybody's

play27:20

contribution and if we unlock um the

play27:23

talents of people who you know have been

play27:26

suppressed because of their demography

play27:28

or their educational background and we

play27:30

include them in there then we have all

play27:32

the more knowledge with which to put

play27:34

together and do holistic pictures yeah

play27:37

okay that makes sense um so that yeah so

play27:41

uh how do we see how could AGI

play27:44

contribute uh to increase this access

play27:47

I'm looking at you Randall sorry yeah um

play27:52

how AGI can contribute to access well in

play27:55

the domains that we talk about yeah so

play27:58

so in order to to improve ethics for

play28:00

example in in the development of AGI

play28:02

itself um I think in part it can do so

play28:05

by making it possible for people to

play28:08

participate that otherwise wouldn't

play28:10

because they would have to spend

play28:11

enormous amount of time studying how to

play28:13

have the skills to do very mundane

play28:15

things just to be able to be involved at

play28:17

all in the conversation but instead

play28:19

through the use of AGI as a way to pull

play28:22

together knowledge get better access to

play28:24

that knowledge apply it you you make

play28:26

this available to many more people a

play28:28

great example actually has been for

play28:30

example the neurom match Academy so one

play28:32

of the most wonderful uh neuroscientists

play28:34

that I've worked with is Conrad cording

play28:36

at University of Pennsylvania and uh he

play28:39

has really emphasized not just what

play28:41

neuroscientists are doing wrong right

play28:42

now and how we should be working instead

play28:44

but he's also uh Been instrumental in

play28:47

creating this neurom match Academy which

play28:50

is free to all you can just participate

play28:53

online you spend a few weeks working

play28:55

there and learning how to use machine

play28:57

learning an AI in Neuroscience in this

play28:59

case right so you could do this for

play29:00

other Sciences as well so this is this

play29:03

is kind of democratizing the access to

play29:06

those Technologies and bringing people

play29:07

in who otherwise wouldn't have known

play29:09

about it wouldn't have known how to

play29:10

apply it to their problems wouldn't have

play29:12

even thought about it but because

play29:14

they're becoming involved they're also

play29:15

going to start thinking about issues

play29:17

related to AI because they're now really

play29:19

dealing with it they're touching it

play29:20

every day so that was a fantastic

play29:22

experience helping to lecture there yeah

play29:25

okay thank you and um Joshua what is

play29:28

your vision on this one no it's

play29:30

interesting I think education and

play29:32

Healthcare are the two slowest moving in

play29:34

terms of legislation legislation is

play29:36

going to be a part of um that of course

play29:38

it's funny because that's why I stayed

play29:40

in China as the healthc care side sign a

play29:42

form we the only a public private party

play29:44

to connect to the Chinese FDA for the

play29:47

Health Data so knowing that in to end um

play29:50

was a whole system that I thought of but

play29:53

it basically knew that legislation would

play29:55

just wa took way too long but being able

play29:57

to control more of it in the gaming side

play30:00

that's more realistic for me anyway so

play30:03

being able to see that it come to life

play30:05

with just the internet connection that's

play30:07

why with a Roblox it's low poly it

play30:10

basically doesn't even need a smartphone

play30:12

and your access to those 70 million kids

play30:15

a day is actually very tangible in terms

play30:18

of being able to communicate and have

play30:20

that gameification and with that form of

play30:23

gameification in the future as 5 10

play30:26

years out with

play30:27

you know spatial web you have apple

play30:29

Vision Pro and various things in

play30:31

different contexts physical non-physical

play30:33

online offline I think they're going to

play30:35

take on a new realm of what is reality

play30:37

right and that new reality will be able

play30:39

to help education help science in a

play30:42

different way that we've yet even begun

play30:45

to see we honestly can't even fathom it

play30:47

so I think that with that I think that's

play30:49

the next Frontier in education is for

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what I can see tangibly being able to to

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to to do now because of

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legislation slowing things up that's why

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I actually exited um Healthcare um but I

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can control more of it in this side so

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that is interesting to see kind of the

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Paradigm of both sides you know and that

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AI education I think in terms of

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marketing is education education is

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marketing if we can reach the masses in

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a way that we articulate that balance so

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anything good taken to the extreme can

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be bad as long as we understand that

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balance I think that'll be the key okay

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and based on your answer then I have a

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question also for others but uh should

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we accelerate or slowing down the

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development of

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ACI well no I think that I I for for me

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

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like so if we basically continue on this

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conversation of we're here today because

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we're having this conversation and we're

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having and communicating around this so

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for me having this where the people may

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not even understand what we're up

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against and there may be something that

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we have to slow down right but since

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we're having that conversation if we

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don't actually bring it to the table and

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communicate we have to understand that

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balance so what is what is that extreme

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and we have to understand the data one

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way or another and so that extremeness

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we just have we have to see this is the

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extreme this is the extreme and then the

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balance of the two and that's what I

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think that we're here today I know this

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particular conversation in this

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particular audience with this particular

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demographic may think one way and then

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we have you know the other side but we

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have to take a balance of all of it we

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can't just be biased because we have

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this set of people in this set structure

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because you know collectively we think

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this way but other people in the world

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may think differently so those also have

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unique Minds so how do we balance all of

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it yeah but yeah but that that brings uh

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challenges to the table because science

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is very slow the whole system is based

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on per you it takes some years to to

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publish stuff education sometimes is

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very conservative and now the

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acceleration is going so fast that um

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these domains can keep up so actually

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you're creating not even a gap but even

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a void uh so that's a real challenge so

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maybe Kennedy you can say something

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about this oh yeah and I think um I

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think the the real basis for for solving

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those issues comes with um good

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regulation a good regulatory framework I

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mean in in our case with with biomedical

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research like the FDA is so slow and

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getting um trials approved medicine

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approved all of that is is just a

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nightmare of red tape I mean from the um

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you know aging related disease

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perspective you can't even file for a

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trial or a or a pilot for an aging

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related disease you have to have a

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specific disease indication well 90% of

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chronic diseases is caused by the aging

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process so if you are able to conduct a

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trial that looks more like aspects of

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Aging you could solve multiple diseases

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at once but no that would be too

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efficient I guess um so you we're still

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stuck in this like traditional way of

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going after one one disease indication

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and then hoping it has anti-aging or

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regenerative side effects which is just

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

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that the um the the answer to this issue

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starts with a a um regulatory framework

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that is appropriate for the um

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technological environment that we're

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facing and how it can maximally benefit

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all these fields well thank you for your

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answer I think this is a great uh final

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word because I have the message that we

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have to stop and you go to lunch uh I

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hope you find this uh 35 minutes

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insightful um and maybe with it will

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bring further discussions on later on

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thank you very

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much thank you

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[Applause]

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[Music]

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