Will AI Steal Your Job?How AI Will Transform Daily Life

Book Every Day
1 Jun 202439:51

Summary

TLDRMustafa Suleyman's book 'The Coming Wave' envisions a future transformed by AI, exploring its potential as a general-purpose technology and its convergence with robotics, quantum computing, and biotech. Suleyman discusses the ethical, social, and economic challenges of AI, advocating for proactive governance and ethical AI development to ensure shared prosperity and sustainability. The book calls for a global dialogue on AI's societal impact and the importance of shaping its future responsibly.

Takeaways

  • πŸš€ Mustafa Suleyman's book 'The Coming Wave' explores the transformative potential of AI and its impact on the future of society.
  • πŸ› οΈ AI is considered a general-purpose technology (GPT) that will reshape every aspect of our world, similar to the development of stone tools, agriculture, and electricity.
  • πŸ“ˆ The pace of progress in AI is astonishing, with capabilities expanding rapidly, including language models that can engage in fluid conversation and write creative fiction.
  • 🌐 AI's true power lies in its potential to converge with other technologies, such as robotics, quantum computing, and synthetic biology, creating new possibilities in various fields.
  • πŸ’‘ Suleyman warns against technological solutionism, emphasizing the need to reimagine social, economic, and political institutions to keep pace with AI's accelerating rate of change.
  • πŸ—£οΈ The rise of large language models signifies a revolution in natural language processing, offering a portal into human knowledge and interaction.
  • πŸ€– Advancements in robotics, driven by AI, are enabling robots to perform complex tasks with dexterity and adaptability, impacting manufacturing, healthcare, and other sectors.
  • 🧬 The convergence of AI with biotechnology and big data is poised to revolutionize healthcare, from drug discovery to personalized medicine, improving human health and longevity.
  • 🌐 AI's societal implications include reshaping work, education, and social organization, requiring global dialogue and consensus on ethical principles and policy frameworks.
  • πŸ›‘ The ethical challenges of AI include ensuring privacy, security, and fairness, as well as mitigating bias and preventing the spread of misinformation.
  • 🌳 Suleyman concludes that the future of AI is not predetermined but made by our collective actions, emphasizing the importance of shaping AI for shared prosperity and flourishing.

Q & A

  • What is the central thesis of Mustafa Suleyman's book 'The Coming Wave'?

    -The central thesis of 'The Coming Wave' is that artificial intelligence (AI) is not just another technology but a general-purpose technology (GPT) that will reshape every aspect of our world, similar to how stone tools, agriculture, and electricity did in the past.

  • How does Suleyman define a general-purpose technology (GPT)?

    -Suleyman defines a GPT as a technology that becomes cheaper and more capable over time, spreads to affect every sector of the economy, and enables entirely new modes of innovation.

  • What are the key technological convergences that Suleyman envisions reshaping various fields in the future?

    -Suleyman envisions technological convergences such as cloud-connected robots powered by advanced AI, quantum computers accelerating the discovery of new materials and drugs, and the fusion of AI with synthetic biology to design and engineer living systems with precision and scale.

  • What does Suleyman warn against in terms of relying solely on technology to solve complex social problems?

    -Suleyman warns against 'technological solutionism', which is the naive belief that technology alone can solve complex social problems without considering the need for social, economic, and political reimagining to keep pace with accelerating change.

  • How does the development of large language models (LLMs) like GPT-3 exemplify the progress in AI?

    -The development of LLMs like GPT-3 exemplifies the progress in AI by demonstrating capabilities such as engaging in fluid conversation, answering follow-up questions, writing creative fiction, summarizing long articles, translating languages, and solving basic math problems without task-specific training.

  • What are the potential societal and ethical challenges posed by the rise of advanced language AI?

    -The potential societal and ethical challenges posed by advanced language AI include navigating the line between human and machine-generated text, combating misinformation and propaganda, and ensuring that AI systems do not perpetuate and amplify social harms through biases in their training data.

  • How does the field of robotics stand to benefit from the integration of AI?

    -The field of robotics stands to benefit from the integration of AI through learning-based approaches to robotic control, allowing robots to learn from experience and example, resulting in advanced robots capable of dexterity, agility, and adaptation to novel environments and tasks.

  • What are the implications of the AI biotech boom for healthcare and the life sciences?

    -The AI biotech boom has the potential to revolutionize healthcare and the life sciences by accelerating drug discovery, enabling personalized medicine, and providing new insights into disease mechanisms and treatments through the analysis of vast biomedical data sets.

  • What are some of the geopolitical implications of the AI Revolution as discussed by Suleyman?

    -Suleyman discusses the geopolitical implications of the AI Revolution, noting that it is a key area of strategic competition between nations like the United States and China. He warns of the potential for an AI arms race leading to instability and conflict, and calls for a new global framework for AI governance with shared norms and standards.

  • What is Suleyman's perspective on the future of work in the context of AI and automation?

    -Suleyman believes that the impact of AI on work will be complex and uneven, with some jobs being lost to automation, others being augmented by AI tools, and new jobs being created to manage AI systems. He emphasizes the need for education and training, social safety nets, and worker protections to manage the transition.

  • How does Suleyman propose we approach the ethical and governance challenges of AI?

    -Suleyman proposes a proactive approach to robot ethics and AI governance, which includes transparency, accountability, ethical guardrails, and inclusive and participatory development that engages diverse stakeholders. He stresses the importance of human-centered design and democratic deliberation in shaping the deployment of AI.

Outlines

00:00

🧠 The AI Revolution: A General Purpose Technology

Mustafa Suleyman's book 'The Coming Wave' posits that artificial intelligence (AI) is on the brink of revolutionizing human activity as a general purpose technology (GPT). Suleyman, a co-founder of DeepMind and head of AI at Microsoft, illustrates how AI's progression from narrow AI to general AI will be akin to historical technological leaps like stone tools and electricity. He discusses AI's potential to converge with other technologies, such as robotics and quantum computing, to create transformative impacts across various fields. Suleyman also emphasizes the importance of learning from history to navigate the social and economic challenges posed by AI's rapid development.

05:02

πŸ“š The Language Revolution: AI's Keystone Role

The script delves into the significance of language in AI's evolution, highlighting how language models like GPT-3 have advanced to perform tasks that were once unimaginable. Suleyman argues that language is the key to unlocking AI's potential as a general intelligence, given its role in human knowledge acquisition and communication. The rise of large language models is discussed, including their capabilities and the challenges they present, such as misinformation and biases. Suleyman calls for transparency, accountability, and ethical considerations in the development of language AI to ensure it serves humanity positively.

10:03

πŸ€– Robotics Reborn: AI's Embodied Intelligence

The third paragraph explores the intersection of AI with robotics, detailing how learning-based approaches have enabled robots to perform complex tasks with unprecedented dexterity. Suleyman discusses the advancements in robotic control through reinforcement learning and imitation learning, allowing robots to adapt to new environments and tasks. The potential applications of AI-powered robots in various sectors, including manufacturing, healthcare, and logistics, are highlighted, along with the ethical and social implications of their widespread deployment.

15:03

🧬 The AI Biotech Boom: Transforming Healthcare

This section of the script examines the convergence of AI with biotechnology and data science in healthcare. Suleyman argues that AI's impact on medicine could be profound, from drug discovery to personalized medicine. The script discusses how AI is streamlining drug development, identifying new drug targets, and even designing new molecules. Additionally, AI's role in analyzing medical images and electronic health records for early disease detection and personalized treatment plans is explored, along with the ethical and privacy concerns that accompany these advancements.

20:03

🌐 AI and the Future of Society: Global Implications

The final chapter of the script addresses the broader societal implications of the AI revolution. Suleyman discusses how AI will reshape institutions, cultures, and ways of living and working. He raises questions about the future of work, global development, equity, and sustainability in the face of AI's rapid advancement. The script calls for a global dialogue and consensus on ethical principles and policy frameworks to guide AI's development, emphasizing the need for inclusive and participatory approaches to AI governance.

25:04

πŸ›  The Challenge of AI: Shaping the Future

In the concluding remarks, Suleyman reflects on the immense challenge and opportunity presented by AI. He emphasizes that the future is not predetermined but is instead shaped by our collective actions and decisions. The script calls for critical engagement with AI's challenges and opportunities, urging individuals and communities to shape the values and visions guiding AI's development. Suleyman's final message is one of optimism, encouraging us to harness AI's potential for the benefit of all and to work together to create a future where AI serves as a force for good.

Mindmap

Keywords

πŸ’‘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 video's theme, AI is portrayed as a transformative general-purpose technology (GPT) that has the potential to reshape every aspect of our world. The script discusses AI's rapid progress, from narrow AI systems to models like GPT-3 that can engage in fluid conversation and write creative fiction, illustrating AI's evolution and broad impact across various domains.

πŸ’‘General Purpose Technology (GPT)

A General Purpose Technology is a broad technological innovation that significantly impacts economic growth and social development, such as the steam engine, electricity, and the internet. The script uses the term to highlight AI's role in unleashing a new wave of innovation and social change, comparing it to past technologies that have revolutionized human activity.

πŸ’‘Technological Revolution

The term refers to a period of drastic change in technology that leads to major shifts in economies and societies. In the context of the video, it is used to describe the upcoming era where AI is expected to be the defining technology, much like the Agricultural and Industrial Revolutions before it.

πŸ’‘Convergence

Convergence in the script refers to the coming together of different technological fields, such as AI with robotics, quantum computing, and synthetic biology. These technological convergences are expected to create new opportunities and challenges, reshaping various industries and potentially leading to exponential advancements.

πŸ’‘Ethics

Ethics in the video pertains to the moral principles that should guide the development and use of AI. The script emphasizes the need for ethical considerations to prevent unintended consequences and to ensure that AI technologies are developed responsibly, with attention to privacy, transparency, and algorithmic bias.

πŸ’‘Language Models

Language models are a type of AI system that can understand and generate human language. The script discusses the rise of large language models like GPT-3 and their capabilities, which include engaging in conversation, writing essays, and solving math problems, showcasing the potential of AI in natural language processing.

πŸ’‘Robotics

Robotics is the branch of technology that deals with the design, construction, operation, and use of robots. The video script highlights the advancements in robotics driven by AI, allowing robots to learn from experience and perform tasks with dexterity and adaptability, transforming fields like manufacturing and healthcare.

πŸ’‘Quantum Computing

Quantum Computing refers to the use of quantum-mechanical phenomena, such as superposition and entanglement, to perform computations. The script envisions quantum computers as a part of technological convergences that could accelerate the discovery of new materials and drugs, indicating their potential in scientific research and development.

πŸ’‘Biotechnology

Biotechnology is the application of biological processes or organisms to create or modify products for specific uses. In the context of the video, biotech is highlighted as one of the fields that, when combined with AI, could lead to innovations in healthcare, such as personalized medicine and drug discovery.

πŸ’‘Healthcare

Healthcare in the script is discussed in the context of how AI can transform the industry through early disease detection, optimization of treatment plans, and predictive analytics. It emphasizes the potential of AI to democratize access to high-quality care and to shift medicine towards a proactive and personalized paradigm.

πŸ’‘Global Governance

Global Governance refers to the development and implementation of shared norms and standards for international cooperation. The video script calls for a new global framework for AI governance to ensure responsible development and use of AI across borders, highlighting the need for inclusive and participatory approaches to manage the geopolitical implications of AI.

πŸ’‘Future of Work

The Future of Work is a concept that explores how the nature of employment and the workforce may change due to factors such as automation and technological advancements. The script discusses the impact of AI on jobs, suggesting that while some roles may be lost, new opportunities may arise, necessitating a focus on education, training, and social safety nets.

πŸ’‘Societal Implications

Societal Implications refer to the effects that a development, trend, or event has on a society's structure, values, and functioning. The video script considers the broader impacts of the AI Revolution on institutions, cultures, and ways of living and working, emphasizing the need for proactive shaping of AI's development to steer it towards beneficial and emancipatory ends.

Highlights

Mustafa Suleyman's book 'The Coming Wave' explores the transformative potential of artificial intelligence (AI).

AI is poised to be a general-purpose technology, permeating every sphere of human activity.

AI's potential lies in its ability to be combined with other technologies in transformative ways.

The rise of large language models and advancements in natural language processing is unlocking AI's potential as a general intelligence.

Language AI reflects the biases and blind spots in their training data, necessitating ethical considerations.

AI in robotics is enabling robots to learn from experience, leading to a revolution in dexterity and agility.

The fusion of AI with robotics and quantum computing could reshape fields from transportation to healthcare.

AI in healthcare promises to transform medicine through the convergence of AI, biotechnology, and big data.

AI algorithms are identifying novel disease mechanisms and predicting drug target interactions, accelerating drug discovery.

AI models are being applied to digital health data to detect disease early and optimize treatment plans.

The use of AI in healthcare raises ethical concerns regarding data privacy, security, and bias mitigation.

Suleyman calls for a proactive approach to robot ethics and democratizing access to robotic technology.

AI's impact on the future of work will be complex, with potential for job displacement and economic disruption.

Investing in education and training is key to preparing workers for an AI-powered economy.

Suleyman emphasizes the need for global governance frameworks for AI to ensure responsible development and use.

The future of AI is not fixed but made through our collective hopes, fears, and decisions.

Transcripts

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today we embark on an exhilarating

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journey into the future with Mustafa

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suliman's groundbreaking book The Coming

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wave Suliman the Visionary co-founder of

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Deep Mind and head of AI at Microsoft

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has penned a tour to force exploration

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of the transformative potential of

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artificial

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intelligence drawing on his unique

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Vantage Point At The Cutting Edge of AI

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research and development suim man weaves

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together insights from history science

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business and philosophy to craft a

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compelling vision of a future reshaped

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by intelligent machines at its core the

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coming wave makes a bold claim we are on

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the cusp of a technological Revolution

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unlike any in human history just as

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stone tools Agriculture and electricity

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Unleashed cascading waves of innovation

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and social change artificial

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intelligence is poised to be the def in

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technology of the coming era a general

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purpose technology that will permeate

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every sphere of human activity but what

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sets AI apart from past

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gpts and what can we learn from history

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to help us navigate the turbulent Waters

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ahead over the next time we'll dive deep

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into the key ideas and insights of the

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coming wave exploring questions like how

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will AI evolve from narrow task specific

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tools to artificial general

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intelligence What technological

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convergences are on the horizon and how

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will they reshape fields from robotics

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to

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healthcare what social economic and

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philosophical challenges will we face as

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we share our world with increasingly

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capable

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machines and ultimately what kind of

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future can we build with the

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transformative power of AI so sit back

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put on your thinking caps and get ready

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for a mind expanding Journey to the

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frontier of technological

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possibility as always if you enjoy the

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show be sure to subscribe leave a review

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and share it with a friend now let's

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dive in part one the AI

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Revolution the coming wave opens with a

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provocative claim artificial

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intelligence is not just another

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technology but a general purpose

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technology GPT that will reshape every

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aspect of our world Suliman draws a bold

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historical parallel comparing the rise

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of AI to the development of stone tools

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Agriculture and electricity innovations

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that didn't just solve specific problems

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but Unleashed cascading waves of

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creativity and

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progress but what is a GPT exactly and

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what makes AI uniquely suited to play

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this transformative role sulan offers a

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compelling definition gpts are

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technologies that become cheaper and

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more capable over time that spread to

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affect every sector of the economy and

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that enable entirely new modes of

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innovation from this lens the case for

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AI as a GPT Isle C consider the

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astonishing pace of progress in the

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field in just a decade we've gone from

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narrow AI systems that could barely

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recognize images to language models like

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gpt3 that can engage in fluid

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conversation answer follow-up questions

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and even write creative fiction and this

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progress shows no signs of slowing by

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some estimates the compute power

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dedicated to training AI systems is

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doubling every 3.4 months but raw

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capabilities are just the beginning the

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true power of AI Suman argues lies in

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its potential to be combined with other

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Technologies in transformative ways he

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paints a vivid picture of the

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convergences on the horizon imagine

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Cloud connected robots powered by

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Advanced AI that can nimbly navigate and

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manipulate the physical World opening up

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New Frontiers in manufacturing

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exploration and service picture quantum

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computers accelerating the discovery of

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new materials and drugs by orders of

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magnitude and envision the fusion of AI

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with synthetic biology enabling us to

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design and engineer living systems with

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the same precision and scale that we

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build software today in suliman's

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telling these convergences are not

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science fiction but plausible scenarios

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for the next 10 20 years and their

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implications are staggering just as the

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combination of the steam engine and

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Industrial Machinery turbo charged the

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Industrial Revolution the combination of

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AI with robotics Quantum Computing

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biotech and other emerging Technologies

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promises to be a multiplier Force

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reshaping fields from transportation to

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healthcare to scientific discovery but

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even as Suliman Marvels at the potential

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of AI he is quick to caution against

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technological solutionism the naive

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belief that technology alone can solve

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complex social problems history is

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littered with examples of transformative

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Technologies unleashing unintended

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consequences from the environmental toll

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of

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industrialization to the economic

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disruption of automation

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to truly harness the power of AI for

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good Suliman argues we will need more

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than just technological breakthroughs we

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will need to reimagine our social

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economic and political institutions to

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keep Pace with the accelerating rate of

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change we will need to Grapple with

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thorny questions of Ethics governance

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and Collective values and we will need

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to expand our circle of moral concern to

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include the increasing inly capable

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artificial Minds with whom we will share

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our world it's a daunting challenge but

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also an incredible opportunity by

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proactively shaping the development and

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deployment of AI we have the chance to

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steer this technological Juggernaut

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toward a future of shared Prosperity

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sustainability and

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flourishing the alternative to let AI

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evolve unchecked driven solely by the

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motive and the pursuit of power is too

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Grim to

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contemplate so as we stand at the

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threshold of the AI Revolution sulan

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urges us to embrace both the promise and

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the responsibility of this

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transformative

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technology in the coming chapters he

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will guide us through the key domains

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where AI is already making waves from

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language and Robotics to scientific

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discovery and

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creativity along the way he will

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challenge us to expand our understanding

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of intelligence agency and the Very

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nature of

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Mind part two the language

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revolution in the first part of our

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journey through the coming wave we

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explored the concept of AI as a

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transformative general purpose

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technology poised to reshape every

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domain of human activity now we turn to

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one of the most astonishing

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manifestations of this technology the

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rise of large language models and the

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revolution in natural language

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processing language sulan argues is not

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just another domain where AI can be

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applied it is the Keystone that unlocks

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ai's potential as a general intelligence

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after all language is the primary medium

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through which humans acquire knowledge

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reason about the world

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and communicate with each other by

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mastering language AI systems gain a

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portal into the vast repository of human

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knowledge and a means to interact

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fluidly with human users the story of

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language AI is one of remarkable

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progress just a decade ago

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state-of-the-art language models

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struggled with basic tasks like

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identifying parts of speech and

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recognizing named entities today's

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models by contrast exhibit a range of

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capabilities that border on the

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miraculous consider

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gpt3 the language model that took the

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World by storm in 2020 with 175 billion

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parameters trained on a vast Corpus of

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online text gpt3 can engage in fluid

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conversation answer follow-up questions

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and even write coherent essays and

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stories it can summarize long articles

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translate between languages and solve

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basic math problems described in natural

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language and it can do all this without

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any task specific training a level of

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generalization and flexibility that was

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Unthinkable just a few years ago but

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gpt3 is just the beginning even as it

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dazzles us with its capabilities

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researchers are racing to build even

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larger and more powerful language models

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Microsoft's Megatron touring nlg for

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instance boasts 530 billion parameters 3

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times the size of

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gpt3 and China's wow 2.0 announced in

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2021 claims a staggering 1.75 trillion

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parameters though details about its

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architecture and training data remain

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fuzzy these models are not just getting

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bigger but also more efficient and

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easier to deploy techniques like sparse

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training and distillation are enabling

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researchers to create smaller faster

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models that retain much of the

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performance of their bulkier

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counterparts at the same time new

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approaches to prompt engineering and few

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shot learning are making it easier for

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non-experts to harness the power of

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these models for specific tasks and

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domains the implications of this

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language Revolution are hard to

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overstate as language models become more

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cap AP able and accessible they promis

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to democratize access to knowledge and

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expertise on an unprecedented scale

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imagine a world where every person has

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access to a personalized tutor a

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tireless research assistant a

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multilingual translator all powered by

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AI language tools the barriers to

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learning Discovery and cross-cultural

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communication could fall dramatically

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unleashing a new era of global

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collaboration and

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Innovation but the language Revolution

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also raises profound challenges and

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risks as these models become more fluent

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and persuasive how will we navigate the

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line between human and machine generated

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text how will we combat the spread of

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misinformation propaganda and fake news

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turbocharged by Ai and as language

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models absorb and reflect the biases and

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blind spots embedded in their training

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data how will we ensure they don't

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perpetuate and amplify social

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harms Suliman grapples with these

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questions headon offering both warnings

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and reasons for hope he highlights the

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urgent need for transparency

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accountability and ethical guardrails in

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the development of language AI lest we

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unleash systems that can manipulate and

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deceive on an unprecedented scale at the

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same time he points to emerging work on

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AI fairness

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interpretability and value alignment

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that could help steer language models

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toward more benign and socially

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beneficial

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ends ultimately the language Revolution

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reminds us that AI is not just a tool

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but a mirror that reflects back the best

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and worst of human nature as we pour our

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knowledge our creativity and our biases

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into these systems we shape them in our

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image and they in turn will shape us the

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challenge before us is to create

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language AI that enhances and empowers

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human wisdom rather than displacing or

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diminishing it it's a challenge that

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will require not just technical

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Ingenuity but moral imagination and

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Collective resolve and language is just

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the beginning in the next chapter sulan

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takes us on a mind bent ing tour of the

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frontiers of Robotics where the fusion

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of AI and embodied intelligence promises

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to transform our physical world as

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dramatically as language AI is

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transforming the realm of

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bits part three robotics

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reborn in our last chapter we explored

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the astonishing progress and

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transformative potential of language AI

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now we turn to another domain where the

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fusion of artificial int elligence and

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embodied systems promises to reshape our

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world

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robotics robots have long captured the

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human imagination from the metallic

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laborers of Carol Chap's 1920 play rur

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to the sentient Machines of Isaac

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asimov's stories but for much of the

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20th century the reality of Robotics

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lagged far behind the visions of Science

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Fiction industrial robots remained bulky

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dangerous

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and confined to highly structured

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environments like Factory flaws research

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robots were brittle glitchy and

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struggled to perform even basic tasks

play14:40

like grasping objects or navigating

play14:43

uneven

play14:45

Terrain in the last decade however the

play14:48

field of Robotics has undergone a quiet

play14:51

Revolution one driven in large part by

play14:55

advances in artificial intelligence as

play14:58

SU man explains the key breakthrough has

play15:01

been the rise of learning based

play15:03

approaches to robotic control rather

play15:06

than trying to handc code rules for

play15:09

every possible situation a robot might

play15:11

encounter researchers are now using

play15:14

techniques like reinforcement learning

play15:17

and imitation learning to allow robots

play15:19

to learn from experience and example the

play15:22

results have been spectacular today's

play15:25

most advanced robots can perform Feats

play15:28

of Dexter ity and Agility that would

play15:30

have been Unthinkable just a few years

play15:33

ago they can learn to pick up and

play15:35

manipulate delicate objects pour liquids

play15:38

without spilling and even perform

play15:41

complex tasks like assembling furniture

play15:43

or cooking meals and they can adapt to

play15:46

novel environments and tasks with a

play15:49

flexibility and resilience that far

play15:52

exceeds traditional

play15:54

automation but it's not just about

play15:57

skills the fusion of AI and Robotics is

play16:01

also enabling new forms of human robot

play16:03

interaction and

play16:05

collaboration robots equipped with

play16:07

natural language interfaces can engage

play16:10

in fluid

play16:11

dialogue understand context and

play16:14

ambiguity and even read social cues AI

play16:18

powered computer vision allows robots to

play16:21

interpret complex scenes recognize

play16:24

objects and faces and navigate Dynamic

play16:27

environments and advances in tactile

play16:30

sensing and haptic feedback are enabling

play16:33

robots to interact with the world and

play16:35

with humans in increasingly

play16:37

sophisticated ways the implications of

play16:41

this robotic Revolution are vast in

play16:44

manufacturing AI powered robots promise

play16:47

to bring new levels of flexibility

play16:50

customization and efficiency to

play16:53

production lines in healthcare robotic

play16:56

assistance could help care for an aging

play16:59

population assisting with everything

play17:01

from medication management to Mobility

play17:04

support and in fields like construction

play17:08

Agriculture and Logistics intelligent

play17:11

robots could take on dangerous dirty or

play17:14

monotonous tasks freeing human workers

play17:18

for higher value

play17:19

roles but as with any transformative

play17:22

technology the rise of AI powered

play17:25

robotics also raises complex challenges

play17:28

and risks how will the widespread

play17:31

deployment of intelligent robots impact

play17:34

jobs and the economy what ethical

play17:38

principles should guide the development

play17:40

of robots that can interact with and

play17:43

even influence humans and how can we

play17:46

ensure that the benefits of this

play17:48

technology are distributed equitably

play17:51

rather than ACR primarily to wealthy

play17:54

Nations and

play17:56

corporations Suliman tackles these

play17:59

questions with nuance and insight he

play18:02

acknowledges the potential for job

play18:04

displacement and economic disruption but

play18:07

argues that the ultimate impact of

play18:09

Robotics will depend on the choices we

play18:12

make around education social safety nets

play18:15

and the distribution of technological

play18:18

gains he calls for a proactive approach

play18:21

to robot ethics one that goes beyond the

play18:24

classic three laws of aimof to Encompass

play18:27

issues like privacy transparency and

play18:31

algorithmic bias and he makes a

play18:34

passionate case for democratizing access

play18:37

to robotic technology ensuring that its

play18:40

benefits reach far beyond the factory

play18:43

floor at the same time Suliman is cleare

play18:47

eyed about the current limitations and

play18:49

future challenges of

play18:51

Robotics today's most advanced systems

play18:55

still struggle with tasks that require

play18:58

common sense reasoning open-ended

play19:00

problem solving or deep understanding of

play19:03

the physical world integrating robots

play19:07

into complex social environments like

play19:09

homes and offices remains a formidable

play19:12

Challenge and the long-term question of

play19:15

machine sentience and rights looms large

play19:19

as robots become more sophisticated and

play19:23

autonomous but despite these challenges

play19:26

sulan is ultimately optim optimistic

play19:29

about the potential of AI powered

play19:31

robotics to improve human lives and

play19:34

expand the boundaries of what's possible

play19:37

by combining the power of artificial

play19:39

intelligence with the embodied

play19:41

intelligence of physical systems we have

play19:44

the opportunity to create machines that

play19:47

don't just carry out our commands but

play19:49

truly collaborate with us in shaping the

play19:52

world it's a vision that will require

play19:55

immense scientific and Engineering in

play19:58

ity but also as sulan stresses deep

play20:03

ethical reflection and Democratic

play20:06

deliberation in the next chapter we'll

play20:09

explore yet another domain where the

play20:11

fusion of AI and physical systems

play20:14

promises to transform our world healthc

play20:17

care and the life sciences from drug

play20:20

Discovery to personalized medicine the

play20:23

convergence of AI biotech and data

play20:26

science is unleashing a wave of

play20:28

innovation

play20:29

with the potential to dramatically

play20:31

improve Human Health and

play20:33

Longevity part four the AI biotech boom

play20:38

in previous chapters we've seen how the

play20:40

fusion of artificial intelligence with

play20:42

language and Robotics is unleashing

play20:45

powerful new capabilities and reshaping

play20:48

entire Industries now we turn to a

play20:51

domain where the impact of AI may be

play20:53

most profound and personal Healthcare

play20:57

and the life sciences

play20:59

medicine Suliman argues is on the cusp

play21:02

of a revolution driven by the

play21:04

convergence of three powerful

play21:07

Technologies artificial intelligence

play21:10

biotechnology and Big Data each of these

play21:14

fields has made remarkable strides in

play21:16

recent years from the rise of deep

play21:18

learning and GPU accelerated Computing

play21:22

to the plummeting cost of genome

play21:24

sequencing and the explosion of digital

play21:27

Health Data

play21:29

but it's the combination of these

play21:30

advances that promises to transform

play21:33

medicine as we know it consider drug

play21:36

Discovery a notoriously slow and

play21:39

expensive process traditionally

play21:42

identifying new drug targets and

play21:44

developing safe effective therapies has

play21:47

relied on a combination of guesswork

play21:50

trial and error and

play21:53

Serendipity but now ai is beginning to

play21:57

change the game by mining vast troves of

play22:00

biomedical data from genomic and

play22:03

clinical databases to Scientific papers

play22:05

and patents machine learning algorithms

play22:08

can identify novel disease mechanisms

play22:11

predict drug Target interactions and

play22:14

even design new molecules from scratch

play22:18

the results have been stunning in 2020

play22:22

researchers at Mighty used a deep

play22:24

learning model to identify a powerful

play22:27

new antibiotic

play22:29

hin that proved effective against drug

play22:31

resistant bacteria in lab tests the

play22:35

model trained on a data set of 2,500

play22:38

molecules was able to screen more than

play22:41

100 million compounds in a matter of

play22:43

days a feat that would have taken human

play22:46

researchers years to accomplish and in

play22:49

2021 deep mind's Alpha fold system

play22:52

cracked the 50-year-old protein folding

play22:55

problem predicting 3D structures for for

play22:58

the vast majority of known proteins with

play23:01

accuracy rivaling experimental

play23:04

techniques these breakthroughs are just

play23:06

the beginning as AI models become more

play23:10

sophisticated and biomedical data sets

play23:13

continue to grow we can expect a wave of

play23:16

new drug discoveries targeting

play23:18

everything from cancer to alzheimer's to

play23:21

infectious

play23:22

disease at the same time AI is also

play23:26

transforming the way we study and

play23:28

manipulate biological systems themselves

play23:32

techniques like machine learning guided

play23:34

genome editing synthetic biology

play23:37

Automation and AI powered microscopy are

play23:41

giving researchers unprecedented power

play23:44

to probe and engineer living matter from

play23:47

Individual cells to entire organisms but

play23:51

the AI revolution in healthcare goes far

play23:54

beyond the lab bench perhaps the most

play23:57

exciting Frontier is the application of

play23:59

machine learning to the massive troves

play24:01

of digital Health Data now being

play24:04

generated by hospitals wearables and

play24:07

consumer

play24:09

devices by mining these data sets for

play24:12

patterns and insights AI algorithms can

play24:16

help detect disease early predict

play24:19

patient outcomes optimize treatment

play24:21

plans and even prevent illness before it

play24:25

starts one striking example is the use

play24:29

of deep learning to analyze medical

play24:31

images in recent years AI models have

play24:34

shown remarkable accuracy in detecting

play24:37

conditions like breast and lung cancer

play24:40

diabetic retinopathy and skin lesions

play24:44

often outperforming human Radiologists

play24:46

and

play24:47

dermatologists these models can screen

play24:50

vast numbers of images quickly and

play24:52

cheaply helping to catch disease at its

play24:55

earliest and most treatable stages and

play24:58

and as they are integrated into clinical

play25:00

workflows they can free up human experts

play25:03

to focus on more complex cases and

play25:06

patient

play25:07

care but the potential of AI in health

play25:10

care goes beyond diagnostic AIDS machine

play25:14

learning is also being applied to

play25:16

electronic health records genetic

play25:19

profiles and even social media data to

play25:22

predict health risks tailor treatments

play25:25

and guide Public Health interventions

play25:28

by identifying patterns across vast and

play25:31

diverse data sets these models can

play25:34

Surface insights that no human could

play25:36

discern like subtle interactions between

play25:40

genes environment and behavior that

play25:43

influence disease risk of course the use

play25:46

of AI in healthc care also raises

play25:49

profound challenges and ethical concerns

play25:53

how do we ensure the privacy and

play25:55

security of sensitive Health Data how

play25:58

can we detect and mitigate bias in

play26:01

algorithms that could perpetuate or

play26:03

exacerbate Health disparities and how do

play26:06

we navigate the complex legal and

play26:09

Regulatory landscape around Aid driven

play26:12

diagnosis and treatment Suliman grapples

play26:16

with these questions thoughtfully

play26:18

drawing on his experience as a leader in

play26:20

AI ethics and governance he emphasizes

play26:24

the need for robust data stewardship

play26:27

algorithmic transparency and clinical

play26:30

validation to ensure that AI tools are

play26:33

safe effective and trustworthy he calls

play26:38

for inclusive and participatory

play26:40

approaches to AI development that engage

play26:43

diverse stakeholders from patients and

play26:46

providers to policy makers and

play26:50

ethicists and he stresses the importance

play26:52

of human centered design ensuring that

play26:55

AI augments rather than replaces human

play26:58

expertise and

play27:00

agency ultimately Suliman argues the

play27:04

goal of AI in healthcare should not be

play27:06

automation for its own sake but rather

play27:09

the empowerment of patients providers

play27:11

and Health Systems to achieve better

play27:14

outcomes used wisely and equitably AI

play27:18

has the potential to democratize access

play27:21

to highquality care to accelerate biomed

play27:25

Discovery and translation and to shift

play27:27

medicine from a reactive to a proactive

play27:30

and personalized

play27:32

Paradigm but realizing this potential

play27:35

will require not just technical

play27:37

Ingenuity but also ethical foresight

play27:41

policy Innovation and societal dialogue

play27:45

as we've seen throughout the coming wave

play27:47

the AI Revolution is not just about

play27:49

building smarter machines but about

play27:52

leveraging their capabilities to build a

play27:54

smarter and more Humane World nowhere is

play27:58

this imperative clearer than in the

play28:00

realm of health and Medicine by putting

play28:03

AI in service of human flourishing we

play28:06

have the opportunity to create a future

play28:08

in which every person can live a longer

play28:11

healthier and more fulfilling life it's

play28:14

a vision worth striving for and one that

play28:18

will require all of us to work together

play28:21

across the boundaries of discipline

play28:23

sector and

play28:25

nation in the next and Final Chapter of

play28:28

our journey we'll step back to consider

play28:30

the broader societal implications and

play28:33

governance challenges of the AI

play28:36

Revolution how can we ensure that the

play28:38

benefits of this transformative

play28:40

technology are shared equitably across

play28:43

the

play28:44

globe What new models of Education work

play28:48

and social organization will be needed

play28:51

to navigate the disruptive changes ahead

play28:54

and how can we Foster a global dialogue

play28:57

and consensus

play28:58

around the ethical principles and policy

play29:01

Frameworks that will guide the

play29:03

development and deployment of AI in the

play29:05

coming

play29:06

decades stay tuned for suliman's

play29:09

insights and provocations on these vital

play29:13

questions part five Ai and the future of

play29:19

society welcome to the final chapter of

play29:22

our Deep dive into Mustafa suman's

play29:24

Visionary book The Coming wave over the

play29:28

the course of our journey we've explored

play29:30

the transformative potential of

play29:31

artificial intelligence across domains

play29:34

as diverse as language robotics healthc

play29:38

care and scientific discovery we've

play29:41

marveled at the breakthroughs unfolding

play29:44

in labs and startups around the world

play29:46

and we've grappled with the profound

play29:48

challenges and choices they present for

play29:51

our economy our politics and our

play29:55

values now as we reach the climax of

play29:59

suleman's narrative it's time to step

play30:02

back and consider the broader societal

play30:05

implications of the AI Revolution how

play30:08

will the rapid advance of artificial

play30:11

intelligence reshape our institutions

play30:14

our cultures and our ways of living and

play30:17

working together what opportunities and

play30:20

threats does it pose for Global

play30:22

development equity and

play30:25

sustainability and how can we as a spe

play30:28

es rise to the challenge of stewarding

play30:30

this transformative technology towards

play30:33

its most beneficial and emancipatory

play30:36

ends these are not idle questions for

play30:39

armchair futurists as sulan argues

play30:43

persuasively the decisions we make in

play30:45

the coming years about how to develop

play30:48

deploy and govern AI systems will shape

play30:51

the trajectory of human civilization for

play30:54

generations to come will we create a

play30:57

future in which the benefits of AI are

play31:00

shared equitably across Nations and

play31:02

populations lifting billions out of

play31:05

poverty and empowering every person to

play31:07

live a life of dignity and

play31:10

fulfillment or will we allow the

play31:12

transformative power of AI to be

play31:14

captured by a handful of tech Giants and

play31:17

authoritarian States exacerbating

play31:21

inequality undermining democracy and

play31:24

accelerating the destruction of our

play31:26

planet to grapple with these existential

play31:29

Stakes sulan takes us on a whirlwind

play31:32

tour of the key policy challenges and

play31:35

governance dilemas posed by the rise of

play31:37

AI one Central issue is the future of

play31:41

work in an age of accelerating

play31:44

automation as AI systems become capable

play31:47

of performing an Ever wider range of

play31:50

cognitive and physical tasks from

play31:52

driving trucks to diagnosing diseases to

play31:56

writing software what will become of the

play31:59

millions of human workers whose

play32:01

livelihoods depend on these roles will

play32:04

we see a wave of technological

play32:06

unemployment and social dislocation as

play32:10

predicted by some economists and pundits

play32:13

or will the productivity gains from AI

play32:16

lead to the creation of new jobs and

play32:19

industries as has happened with previous

play32:21

waves of

play32:22

automation sulan argues that the impact

play32:26

of AI on work will likely be more

play32:29

complex and uneven than either of these

play32:32

extreme scenarios suggests while some

play32:35

jobs will undoubtedly be lost to

play32:38

automation others will be augmented and

play32:40

enhanced by AI tools and still others

play32:44

will be created to design develop and

play32:47

manage AI systems themselves the net

play32:51

effect on employment will depend on a

play32:53

host of factors from the pace and scope

play32:56

of AI development to the policies and

play32:59

institutions we put in place to manage

play33:02

the

play33:03

transition one key policy lever sulan

play33:06

suggests is investing in Education and

play33:09

Training to equip workers with the

play33:12

skills and knowledge they need to thrive

play33:15

in an AI powered economy this will

play33:18

require a massive reorientation of our

play33:21

Educational Systems away from rote

play33:25

memorization and toward higher orders

play33:27

skills like critical thinking creativity

play33:31

and emotional intelligence the very

play33:34

capacities that are hardest for machines

play33:37

to replicate it will also require a

play33:40

commitment to lifelong learning and

play33:42

upskilling as the halflife of technical

play33:44

skills continues to shrink in the face

play33:47

of Rapid technological change but

play33:50

education alone will not be enough to

play33:53

ensure a just and Equitable transition

play33:56

Suliman also makes the case for stronger

play33:59

social safety nets and worker

play34:01

protections from Universal Health Care

play34:04

and affordable housing to job guarantees

play34:07

and portable benefits he argues for

play34:10

policies that promote competition and

play34:12

prevent the concentration of AI

play34:14

capabilities in the hands of a few

play34:17

dominant firms such as antitrust

play34:20

enforcement data portability and Open

play34:24

Standards and he calls for new forms of

play34:26

social dialogue and collective

play34:28

bargaining to give workers a voice in

play34:31

shaping the deployment of AI in their

play34:34

workplaces and

play34:36

communities beyond the future of work

play34:39

Suliman also grapples with the

play34:41

geopolitical implications of the AI

play34:43

Revolution he notes that the development

play34:46

of AI is already a Key Arena of

play34:49

strategic competition between the United

play34:51

States and China with both Nations

play34:54

investing heavily in research talent and

play34:57

infrastructure to gain an edge but he

play35:00

warns that an unconstrained AI arms race

play35:04

could lead to dangerous instability and

play35:06

conflict as Nations rush to deploy

play35:09

powerful AI systems without adequate

play35:12

safeguards or International

play35:15

coordination to mitigate these risks

play35:17

Suliman calls for a new Global framework

play35:20

for AI governance one that establishes

play35:23

shared norms and standards for the

play35:26

responsible development and use of AI

play35:28

across borders this could include

play35:31

measures like International agreements

play35:32

on AI safety and testing protocols

play35:36

multilateral initiatives to promote AI

play35:38

for sustainable development and the

play35:41

creation of a global AI Watchdog to

play35:43

Monitor and report on AI deployments

play35:46

around the world crucially such a

play35:49

framework must be inclusive and

play35:51

participatory engaging not just

play35:54

governments and Tech Giants but also

play35:56

Civil Society group groups academic

play35:59

experts and affected

play36:01

communities of course building Global

play36:04

consensus on AI governance will be no

play36:06

easy feat in a world Riven by

play36:08

geopolitical tensions ideological

play36:11

divides and competing national interests

play36:15

but Suliman argues that it is an

play36:17

essential task if we are to steer the AI

play36:20

Revolution towards beneficial ends he

play36:24

points to successful examples of

play36:26

International cooperation ation on

play36:28

emerging Technologies from the Montreal

play36:31

protocol on ozone depleting substances

play36:34

to the Human Genome Project as models

play36:38

for what is possible when Nations and

play36:40

stakeholders come together in pursuit of

play36:43

a common

play36:44

cause ultimately however the path to a

play36:47

just and flourishing AI future lies not

play36:51

only in Grand geopolitical Bargains or

play36:54

sweeping policy reforms but also in the

play36:57

countless choices and actions of

play37:00

individuals and communities around the

play37:03

world as Suliman reminds us the AI

play37:06

Revolution is not some inevitable Force

play37:09

Beyond human agency but rather the

play37:12

product of our Collective hopes fears

play37:14

and

play37:15

decisions it is up to each of us to

play37:18

engage critically and constructively

play37:20

with the challenges and opportunities of

play37:22

this transformative moment to shape the

play37:25

values and visions that were will guide

play37:27

the development of AI and to work

play37:30

tirelessly to bend the Arc of this

play37:33

technology towards Justice dignity and

play37:37

shared prosperity for

play37:39

all this then is the ultimate message of

play37:42

the coming wave that the future is not

play37:45

fixed but fluid not given but made as we

play37:49

stand at the threshold of a new era of

play37:52

intelligent machines we have the power

play37:55

and the responsibility to imagine and

play37:58

build a world that reflects our deepest

play38:00

values and aspirations it is a daunting

play38:03

task to be sure but also an exhilarating

play38:07

one an invitation to dream big and act

play38:10

boldly in pursuit of a better tomorrow

play38:13

so let us rise to this moment with

play38:15

courage compassion and

play38:18

resolve let us harness the

play38:20

transformative potential of AI not for

play38:23

the benefit of a few but for the

play38:25

flourishing of all and let us work

play38:28

together across the boundaries of nation

play38:31

and Creed to create a future in which

play38:33

every person can thrive in the light of

play38:36

their full

play38:37

potential this is the great Challenge

play38:40

and opportunity of our time and it is

play38:42

one that we cannot afford to

play38:45

ignore as Mustafa sulan reminds us in

play38:48

the stirring final pages of his book The

play38:51

Coming wave of artificial intelligence

play38:54

will be what we make of it so let us

play38:57

make it a Force for good a source of

play39:00

Hope and possibility a testament to the

play39:03

enduring power of the human Spirit to

play39:06

shape its own

play39:07

destiny thank you for joining me on this

play39:10

journey through the pages of the coming

play39:12

wave I hope you've enjoyed this journey

play39:15

as much as I have and that you're

play39:16

leaving with a deeper understanding of

play39:19

the transformative potential and

play39:22

profound challenges of artificial

play39:24

intelligence in the years and decades

play39:27

come if you found this discussion

play39:30

valuable I invite you to subscribe to

play39:32

the channel where we'll be exploring

play39:34

more Cutting Edge works on AI technology

play39:38

and the future of humanity in the weeks

play39:40

and months ahead you can also leave a

play39:43

comment below with your thoughts on the

play39:45

coming wave or suggest other books you'd

play39:48

like to see us cover on the show

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Related Tags
Artificial IntelligenceTechnological RevolutionFuture SocietyEthical ChallengesHealthcare InnovationRobotics AdvancementLanguage ProcessingGlobal GovernanceEducation ReformHuman-Machine Symbiosis