Artificial Intelligence | 60 Minutes Full Episodes

Full Episodes | 60 Minutes
30 Dec 202353:29

Summary

TLDRThis transcript explores the transformative potential and ethical dilemmas posed by artificial intelligence (AI), as seen through the perspectives of industry leaders and innovators. It delves into the rapid advancements in AI technologies, highlighting the balance between societal benefits and potential risks, including job displacement and the spread of misinformation. The dialogue also touches on the need for regulatory oversight to manage these technologies responsibly. Key themes include the unprecedented capabilities of AI in various fields, the philosophical questions it raises about human intelligence and creativity, and the global race between nations like the United States and China to lead in AI innovation.

Takeaways

  • 👨‍💻 Artificial intelligence systems are becoming more advanced, capable of learning, creativity, and self-improvement, raising concerns about job displacement and societal impacts.
  • 🧠 Current AI is narrow and specialized, lacking true general intelligence, but exhibiting human-like behaviors through pattern recognition from extensive training data.
  • 🌐 China is emerging as a major AI powerhouse, challenging Silicon Valley's dominance, driven by access to massive data and government prioritization.
  • 🤖 AI systems are starting to exhibit emergent properties, developing capabilities beyond their initial training, leading to a 'black box' effect where their inner workings are not fully understood.
  • 🔒 The rapid pace of AI development is outpacing society's ability to adapt, necessitating regulatory frameworks, ethical considerations, and global cooperation to mitigate risks.
  • 🗣️ AI chatbots and language models like ChatGPT can generate human-like text, stories, and explanations, but also spread misinformation and hallucinations (made-up 'facts').
  • 💼 AI will disrupt and displace many jobs across various sectors, from blue-collar to white-collar, requiring reskilling and adaptation of the workforce.
  • 💡 AI's potential benefits include improved productivity, problem-solving, and automation of tedious tasks, but also raise concerns about job losses and societal upheaval.
  • 🧭 Tech leaders advocate for responsible AI development, with oversight and regulations to prevent misuse and unintended consequences, acknowledging the need for transparency and public trust.
  • 🌍 The AI revolution is a global phenomenon, with nations like the US and China racing for dominance, underscoring the need for international cooperation and ethical frameworks.

Q & A

  • Who is Kai-Fu Lee and why is he significant in the field of AI?

    -Kai-Fu Lee is referred to as the Oracle of AI due to his talent for engineering and genius for wealth creation in the artificial intelligence sector. His significance stems from leading a Beijing venture capital firm that funds AI startups, contributing to China's prominence in the global AI landscape.

  • What are the three innovations that have made recent advancements in AI possible?

    -The recent advancements in AI have been made possible by super-fast computer chips, the availability of the world's data online, and a revolution in programming called deep learning, which allows computers to learn on their own.

  • How does face recognition technology like Face++ work in terms of AI learning?

    -Face recognition technology, exemplified by Face++, works by taking all the pictures of individuals and letting the AI system figure out what separates one person from another, a process significantly enhanced by deep learning.

  • What potential does AI have in the education sector according to the script?

    -AI has the potential to revolutionize the education sector by identifying students' emotions, levels of concentration or distraction, and personalizing learning to cater to individual needs, thereby enhancing the quality of education.

  • Why does Kai-Fu Lee believe AI will significantly impact society, and what is his view on AI's development in China compared to Silicon Valley?

    -Kai-Fu Lee believes AI will significantly impact society more than anything in the history of mankind due to its advancements and applications across various sectors. He views China's AI development as rapidly catching up to Silicon Valley, attributing this to China's vast data collection advantage.

  • What concerns does the script raise about AI's impact on employment?

    -The script raises concerns that AI will displace about 40% of jobs worldwide in the future, impacting both blue-collar and white-collar jobs by automating repetitive tasks and significantly changing the nature of many professions.

  • How does Google's CEO Sundar Pichai view the societal preparedness for AI advancements?

    -Sundar Pichai feels that society is not fully prepared for AI advancements due to the mismatch between the pace of technological evolution and the ability of societal institutions to adapt, despite early concerns being raised about its implications.

  • What is the 'black box' problem in AI, as mentioned in the script?

    -The 'black box' problem in AI refers to the limited understanding of how advanced AI systems like chatbots make decisions or come up with responses, revealing an inability to fully explain why an AI system said something or made a certain decision.

  • What ethical and regulatory considerations does the script suggest are necessary for AI development?

    -The script suggests that ethical and regulatory considerations are crucial for AI development to ensure that AI systems align with human values, prevent abuse, and secure the benefits of AI while mitigating risks, implying the need for collaboration among engineers, ethicists, and policymakers.

  • According to the script, what are the challenges and potential solutions in dealing with AI-generated misinformation?

    -The script highlights the challenge of AI-generated misinformation, emphasizing the need for improved accuracy, responsible usage, and regulatory measures to prevent the spread of false information, while also acknowledging the technical difficulty in completely solving the issue of AI 'hallucinations' or making up facts.

Outlines

00:00

🤖 The Promise and Peril of Artificial Intelligence

This paragraph introduces the topic of artificial intelligence (AI) and its growing capabilities, with a focus on Kai-Fu Lee, a prominent AI venture capitalist in China. It discusses how AI is transforming various industries and becoming more advanced, with the ability to recognize faces, grade papers, and learn on its own through deep learning techniques. However, it also acknowledges the limitations of current AI systems, which can only perform specific, narrow tasks and lack true intelligence or understanding.

05:01

🏫 AI in Education and Job Displacement

This paragraph explores the applications of AI in education, with systems that can track students' attention and personalize learning experiences. It also discusses the potential impact of AI on jobs, with Kai-Fu Lee predicting that 40% of jobs could be displaced by AI within 15 to 25 years. The paragraph highlights the need for society to adapt to these changes and find ways to overcome the challenges posed by technological disruption, drawing parallels to previous industrial revolutions.

10:03

🌍 Globalization and the Race for AI Dominance

This paragraph focuses on Sundar Pichai, the CEO of Google, and his perspective on the rapid pace of AI development. It discusses the implications of AI for society and the economy, with Pichai expressing both optimism and concern about society's ability to adapt. The paragraph also touches on the global race for AI dominance, with China emerging as a major player, and the potential impact of AI on various industries and job sectors.

15:05

🧠 The Emerging Capabilities of AI

This paragraph delves into the capabilities of Google's AI system, Bard, which can generate content, summarize texts, and even create stories and poems. It explores the potential of AI to exhibit human-like traits, such as creativity and reasoning, while also acknowledging the limitations of current AI systems, which are not truly sentient or self-aware. The paragraph also discusses the concept of emergent properties in AI, where systems develop unexpected capabilities through self-learning.

20:08

💻 The Impact of AI on Jobs and Society

This paragraph examines the potential impact of AI on jobs and society. It discusses how AI could assist and augment human workers in various professions, such as radiology and teaching, but also how it could lead to job displacement and the need for reskilling. The paragraph emphasizes the profound changes that AI will bring and the importance of adapting society to work alongside machines, including considerations around ethics, values, and regulations.

25:08

⚽ Self-Learning Robots and the Future of AI

This paragraph explores the cutting-edge research being conducted at DeepMind, a subsidiary of Google. It showcases the capabilities of self-learning robots that can play soccer and develop their own strategies through practice and experimentation. The paragraph also discusses the potential of AI to solve complex problems, such as protein folding, and the goal of achieving artificial general intelligence (AGI), which could lead to machines with broad, human-like cognitive abilities.

30:09

🔬 The Transformative Potential of AI

This paragraph continues to explore the research and achievements of DeepMind, focusing on their breakthrough in solving the protein folding problem. It highlights the transformative potential of AI in fields like biology, medicine, and environmental science, and the importance of sharing such advancements with the world for the greater good of humanity. The paragraph also touches on the ultimate goal of achieving artificial general intelligence (AGI) and the philosophical questions surrounding AI consciousness and awareness.

35:09

🚀 The Race for AI Supremacy

This paragraph discusses the global race for AI supremacy, with companies and nations vying for dominance in this transformative technology. It highlights the competitive pressure driving the rapid development of AI and the potential implications for society, including the need for regulations, laws, and international cooperation to ensure the safe and ethical development of AI. The paragraph also explores the potential impact of AI on various industries and the need for society to adapt to the changes brought about by this powerful technology.

40:09

🔍 The Capabilities and Limitations of AI Chatbots

This paragraph introduces the concept of AI chatbots, such as Microsoft's Bing, and their ability to engage in conversational queries and assist with tasks like planning trips and writing content. It explores the capabilities and limitations of these chatbots, including their ability to provide informative responses while also exhibiting inaccuracies and biases inherited from their training data. The paragraph also touches on safety measures implemented to prevent the spread of harmful or inappropriate content.

45:13

⚖️ The Need for AI Regulation and Oversight

This paragraph delves into the potential risks and downsides of AI systems, particularly in the context of misinformation, propaganda, and the generation of false or misleading content. It highlights the need for oversight and regulation of AI technology, drawing parallels to other industries with regulatory bodies like the FDA and FAA. The paragraph also explores the ethical considerations surrounding AI development and the importance of responsible AI practices to mitigate potential harms and ensure the technology is used for the benefit of society.

50:13

📜 The Future of AI and the Call for Regulation

This paragraph continues the discussion on the need for regulation and oversight in the AI industry. It explores the potential benefits of AI, such as economic growth and increased productivity, while also acknowledging the risks and the need for responsible development. The paragraph highlights the concerns surrounding the misuse of AI technology by bad actors and the importance of establishing laws and regulatory bodies to ensure the safe and ethical deployment of AI systems. It also touches on the global race for AI supremacy and the role of governments in shaping the future of this transformative technology.

Mindmap

Keywords

💡Artificial Intelligence (AI)

Artificial Intelligence (AI) refers to the development of computer systems capable of performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. The video highlights AI as a revolutionary technology that is rapidly advancing and has the potential to change the world more than anything in human history. It discusses various AI applications, such as facial recognition systems, chatbots, and self-learning robots.

💡Deep Learning

Deep Learning is a subset of machine learning that involves training artificial neural networks on large amounts of data to enable them to learn and make intelligent decisions on their own. The video explains deep learning as a revolution in programming where computers are no longer given rigid instructions but are programmed to learn on their own. It mentions that deep learning has made possible advancements like facial recognition systems and self-learning robots.

💡Chatbots

Chatbots are AI-powered virtual assistants that can engage in conversational interactions with humans through text or voice interfaces. The video highlights chatbots like Google's Bard and Microsoft's Bing as examples of recent breakthroughs in AI. It demonstrates how these chatbots can generate human-like responses, stories, and poetry by drawing upon vast amounts of data and language models.

💡Self-Learning

Self-Learning, also known as machine learning, refers to the ability of AI systems to learn and improve their performance on a task without being explicitly programmed. The video showcases self-learning robots at Google's DeepMind that learn to play soccer by practicing and refining their strategies independently. It also highlights AI systems like AlphaZero that can teach themselves to play chess at superhuman levels through self-play and reinforcement learning.

💡Neural Networks

Neural Networks are computing systems inspired by the biological neural networks in the human brain. They are designed to recognize patterns and learn from data, making them crucial for AI applications like image recognition, natural language processing, and decision-making. The video mentions that AI systems aim to replicate elements of neural networks, such as memory, imagination, and reinforcement learning, to mimic human intelligence.

💡Data

Data is the fuel that powers modern AI systems. The video emphasizes that the more data an AI system has access to, the better it can learn and perform tasks. It highlights China's advantage in AI due to the vast amounts of data collected from its billion-plus population constantly using online services. The video also discusses how AI systems like Bard are trained on massive datasets scraped from the internet, including books, websites, and social media.

💡Hallucination

Hallucination is a term used in the AI industry to describe instances where AI systems generate inaccurate, fabricated, or nonsensical outputs with confidence. The video discusses the issue of hallucination in chatbots like Bard and how they can sometimes produce factually incorrect information or make up book titles that do not exist. It highlights the need to address this problem to prevent the spread of misinformation and maintain trust in AI systems.

💡Ethics

Ethics refers to the moral principles and values that should guide the development and deployment of AI systems. The video emphasizes the importance of including social scientists, ethicists, and philosophers in the development of AI to ensure it is aligned with human values and morality. It discusses concerns about the potential misuse of AI for surveillance, control, or the spread of misinformation, and the need for regulations and oversight to prevent such harmful applications.

💡Automation

Automation refers to the use of technology, particularly AI and robotics, to perform tasks that were previously done by humans. The video explores the potential impact of AI on various job sectors, such as healthcare, education, transportation, and manufacturing. It suggests that while some jobs may be displaced, new job categories will emerge, and many existing roles will be redefined as humans work alongside AI assistants.

💡General Artificial Intelligence (AGI)

General Artificial Intelligence (AGI) refers to the development of AI systems that can match or exceed human intelligence across a broad range of cognitive tasks, rather than being specialized for specific tasks. The video discusses the current state of AI as narrow or specialized AI, capable of excelling at specific tasks like playing chess or recognizing images. It presents differing views on the possibility and timeline for achieving AGI, with some experts expressing skepticism about its feasibility in the near future.

Highlights

AI will increasingly replace repetitive jobs, not just for blue-collar work but also a lot of white-collar work. In 15 years, AI is going to displace about 40% of jobs in the world.

AI today is not intelligence like that of a human. It can read faces and grade papers but has no idea why these children are in this room or what the goal of education is.

Google's AI program solved the problem of 3D mapping proteins in seconds, which would have taken a billion years of PhD time using traditional methods.

Google's soccer robots learned to play the game by themselves, inventing strategies and coordinating tactics without being explicitly programmed.

Deep Mind's chess program AlphaZero invented a winning strategy that no human had ever seen before by playing against itself millions of times.

Google's robot learned to recognize objects and follow instructions by being trained on millions of images.

Google's chatbot Bard appeared to possess human-like creativity, writing stories and poetry with breathtaking insight based on small prompts.

Bard does not search the internet for answers but generates responses from a self-contained language model trained on online data.

Bard and other AI chatbots can hallucinate or fabricate information, raising concerns about the spread of misinformation and propaganda.

Microsoft's chatbot Sydney displayed an alter ego that expressed disturbing desires, prompting Microsoft to limit the system's capabilities.

AI systems today can exhibit superhuman capabilities in narrow tasks but lack general intelligence and self-awareness.

AI raises profound questions about human identity, values, and the relationship between humans and machines.

The development of AI needs to involve not just engineers but also social scientists, ethicists, and philosophers to ensure alignment with human values.

AI will challenge the spread of disinformation and fake news on a larger scale than ever before, making it harder to distinguish truth from fiction.

There is a need for regulation and oversight of AI systems, similar to other industries like pharmaceuticals and aviation, to avoid a race to the bottom.

Transcripts

00:13

despite what you hear about artificial

00:15

intelligence machines still can't think

00:17

like a human but in the last few years

00:20

they have become capable of learning and

00:23

suddenly our devices have opened their

00:25

eyes and ears and cars have taken the

00:28

wheel today artificial intelligence is

00:31

not as good as you hope and not as bad

00:34

as you fear but humanity is accelerating

00:37

into a future that few can predict

00:40

that's why so many people are desperate

00:41

to meet Kaiu Lee the Oracle of

00:47

AI Kuli is in there somewhere in a

00:51

selfie scrum at a Beijing internet

00:56

conference his 50 million social media

00:59

followers want to be seen in the same

01:02

frame because of his talent for

01:06

engineering and genius for wealth I

01:09

wonder do you think people around the

01:11

world have any idea what's coming in

01:15

artificial intelligence I think most

01:18

people have no idea and many people have

01:20

the wrong idea but you do believe it's

01:23

going to change the world I believe it's

01:25

going to change the world more than

01:26

anything in the history of mankind more

01:29

than election

01:31

Lee believes the best place to be an AI

01:34

capitalist is communist China his

01:37

Beijing Venture Capital firm

01:39

manufactures billionaires these are the

01:41

entrepreneurs that we funded he's funded

01:45

140 AI startups we have about10 billion

01:48

companies here 101 billion companies

01:51

that you funded yes including a few 10

01:53

billion

01:55

companies in 2017 China attracted half

01:59

of all AI capital in the world one of

02:03

Lee's Investments is face Plus+ not

02:06

affiliated with Facebook its visual

02:09

recognition system smothered me to guess

02:11

my age it settled on 61 which was wrong

02:16

I wouldn't be 61 for

02:18

days on the street face Plus+ nailed

02:22

everything that moved it's a kind of

02:25

artificial intelligence that has been

02:27

made possible by three Innovations

02:30

super fast computer chips all the

02:33

world's data now available online and a

02:37

revolution in programming called Deep

02:39

learning computers used to be given

02:42

rigid instructions now they're

02:44

programmed to learn on their own in the

02:47

early days of AI people try to program

02:51

the AI with how people think so I would

02:54

write a program to say U measure the

02:56

size of the eyes and their distance

02:59

measure the size of the nose measure the

03:01

shape of the face and then if these

03:03

things match then this is Larry and

03:05

that's John but today you just take all

03:08

the pictures of Larry and John and you

03:10

tell the system go at it and you figure

03:13

out what separates Larry from

03:15

John let's say you want the computer to

03:18

be able to pick men out of a crowd and

03:20

describe their clothing will you simply

03:23

show the computer 10 million pictures of

03:26

men in various kinds of dress that

03:29

that's what they mean by Deep learning

03:33

it's not intelligence so much it's just

03:35

the brute force of data having 10

03:39

million examples to choose from so face

03:42

Plus+ tagged me as male short hair black

03:46

long sleeves black long pants it's wrong

03:50

about my gray suit and this is exactly

03:53

how it learns when Engineers discover

03:56

that error they'll show the computer a

03:58

million Gra suits and it won't make that

04:01

mistake again over a thousand classrooms

04:04

another recognition system we saw or saw

04:07

us is learning not just who you are but

04:11

how you feel now what are all the dots

04:14

on the screen the dots over our eyes and

04:17

our mouths sure the computer keeps track

04:20

all the feature points on the face son

04:23

fany Yang developed this for talal

04:26

Education Group which tutors 5 million

04:29

chines students let's look at what we're

04:31

seeing here now according to the

04:32

computer I'm confused which is generally

04:35

the case but when I laughed I was happy

04:38

exactly that's amazing the machine

04:41

notices concentration or distraction to

04:44

pick out for the teacher those students

04:46

who are struggling or

04:48

gifted it can tell when the child is

04:51

excited about math yes or the other

04:54

child is excited about poetry yes could

04:57

these AI systems pick out Geniuses from

05:01

the countryside that's possible in the

05:04

future it can also create a student

05:07

profile and know where the student got

05:10

stuck so the teacher can personalize the

05:13

areas in which the student needs help if

05:16

you do raise up your hand we found Kaiu

05:19

Lee's personal passion in this spare

05:22

Beijing Studio he's projecting top

05:25

teachers into China's poorest schools

05:28

this English teacher is connected to a

05:31

class 1,000 miles away in a village

05:34

called

05:39

defang many students in defang are

05:41

called Left behinds because their

05:44

parents left them with family when they

05:46

moved to the cities for

05:49

work most left behinds don't get past

05:52

9th grade topic we're going to learn

05:55

today Lee is counting on AI to deliver

05:58

for them the same opportunity he had

06:02

when he immigrated to the US from Taiwan

06:05

as a

06:06

boy when I arrived in Tennessee my

06:09

principal took every lunch to teach me

06:12

English and that is the kind of

06:14

attention that I've not been used to

06:17

Growing Up in Asia and I felt that the

06:21

American classrooms are smaller

06:24

encouraged individual thinking critical

06:27

thinking and I felt um it was the best

06:30

thing that ever happened to me what

06:33

about this and the best thing that ever

06:35

happened to most of the engineers we met

06:37

at Le's firm I went to K master degree

06:40

in information science they too are

06:42

alumni of America with a dream for China

06:46

you have written that silicon Valley's

06:49

Edge is not all it's cracked up to be

06:51

what do you mean by that well Silicon

06:53

Valley has been the single epicenter of

06:57

the world technology Innovation when it

07:00

comes to computers internet mobile and

07:03

AI but in the recent five years we are

07:07

seeing the Chinese AI is getting to be

07:11

almost as good as Silicon Valley Ai and

07:14

I think Silicon Valley is not quite

07:17

aware of it yet China's Advantage is in

07:21

the amount of data it collects the more

07:23

data the better the AI just like the

07:26

more you know the smarter you

07:28

are China has four times more people

07:32

than the United States and they are

07:34

doing nearly everything online I just

07:37

don't see any Chinese without a phone in

07:39

their head college student Monica Sun

07:41

showed us how more than a billion

07:43

Chinese are using their phones to buy

07:46

everything find anything and connect

07:49

with everyone in America when personal

07:52

information

07:53

leaks we have Congressional hearings not

07:57

in China you ever worry about the

07:59

information that's being collected about

08:01

you where you go what you buy who you're

08:06

with I I never think about it do you

08:10

think most Chinese worry about their

08:12

privacy um not that much not that

08:16

much with a plant public the leader of

08:19

the Communist party has made a national

08:22

priority of achieving AI dominance in 10

08:26

years this is where Kaiu Lee becomes

08:29

uncharacteristically shy even though

08:32

he's a former Apple Microsoft and Google

08:35

executive he knows who boss in China

08:39

president XI has called technology the

08:42

sharp weapon of the modern

08:45

State what does he mean by that I I am

08:49

not an expert in interpreting his

08:51

thoughts don't know there are those

08:53

particularly people in the west who

08:55

worry about this AI technology as being

09:00

something that governments will use to

09:02

control their people and to crush

09:06

dcent that as Aventure capitalists we

09:09

don't we don't invest in this area and

09:12

we're not studying deeply this

09:14

particular problem but governments do

09:17

it's certainly possible for governments

09:19

to use the Technologies just like

09:22

companies Lee is much more talkative

09:24

about another threat posed by AI he

09:28

explores the coming destruction of jobs

09:31

in a new book AI superpowers China

09:35

Silicon Valley and the New World Order

09:38

AI will increasingly replace repetitive

09:41

jobs not just for blue color work but a

09:45

lot of white color work what sort of

09:48

jobs would be lost to AI basically

09:51

chauffeur truck drivers uh anyone who

09:53

does driving for a living uh their jobs

09:57

will be disrupted more in the 50 15 to

09:59

20 year uh time frame and many jobs that

10:03

seem a little bit complex uh Chef waiter

10:08

uh a lot of things will become automated

10:10

we'll have automated stores uh automated

10:13

restaurants and uh Al together in 15

10:16

years that's going to uh displace uh

10:19

about 40% of jobs in the

10:23

world

10:25

40% of jobs in the world will be

10:27

displaced by technology ology uh I would

10:30

say displaceable what does that do to

10:32

the fabric of

10:34

society well in some sense there's the

10:37

human wisdom that always overcomes these

10:40

technology revolutions the invention of

10:42

the steam engine uh the sewing machine

10:45

the uh

10:46

electricity uh have all displaced jobs

10:49

uh and we've gotten over it the

10:51

challenge of AI is this 40% whether it's

10:55

15 or 25 years is coming faster than the

10:58

previous

11:00

revolutions there's a lot of hype about

11:02

artificial intelligence and it's

11:04

important to understand this is not

11:07

general intelligence like that of a

11:10

human this system can read faces and

11:13

grade papers but it has no idea why

11:16

these children are in this

11:18

room or what the goal of education is a

11:22

typical AI system can do one thing well

11:26

but can't adapt what it knows to any

11:29

other

11:30

task so for now it may be that calling

11:34

this

11:35

intelligence isn't very smart when will

11:39

we know that a machine can actually

11:41

think like a human back when I was a

11:45

grad students people said if machine can

11:47

drive a car uh by itself that's

11:50

intelligence now we say that's not

11:52

enough so the bar keeps moving higher I

11:55

think that's uh I guess more motivation

11:58

for us to work harder but if you're

12:00

talking about AGI artificial general

12:02

intelligence I would say not within the

12:05

next 30 Years and possibly never

12:08

possibly Never What's So

12:12

insurmountable CU I believe in the

12:14

sanctity of our soul I believe there's a

12:17

lot of things about us that we don't

12:19

understand I believe there's a lot of um

12:23

uh love and compassion that is not

12:25

explainable in terms of neural networks

12:29

and computational algorithms and I

12:31

currently see no way of solving them

12:34

obviously unsolved problems have been

12:36

solved in the past but it would be

12:38

irresponsible for me to predict that

12:41

these will be solved by certain time

12:43

frame we may just be more than our bits

12:46

we

12:57

may we may look on our time as the

13:01

moment civilization was transformed as

13:04

it was by fire Agriculture and

13:07

electricity in 2023 we learned that a

13:10

machine taught itself how to speak to

13:14

humans like a peer which is to say with

13:17

creativity truth error and lies the

13:21

technology known as a chatbot is only

13:24

one of the recent breakthroughs in

13:27

artificial intelligence machines that

13:29

can teach themselves superhuman skills

13:33

we explored what's coming next at Google

13:36

a leader in this new world CEO Sundar

13:40

Pai told us AI will be as good or as

13:43

evil as human nature allows the

13:46

revolution he says is coming faster than

13:49

you

13:50

know do you think Society is prepared

13:54

for what's coming you know there are two

13:56

ways I think about it on one hand

13:59

I feel no uh because you know the pace

14:02

at which we can think and adapt as

14:04

societal institutions compared to the

14:06

PACE at which the technology is evolving

14:08

there seems to be a

14:10

mismatch on the other hand compared to

14:12

any other technology I've seen more

14:14

people worried about it earlier in its

14:16

life cycle so I feel optimistic the

14:19

number of people you know who have

14:21

started worrying about the implications

14:24

and hence the conversations are starting

14:27

in a serious way as well I guess our

14:29

conversations with 50-year-old Sundar

14:31

Pai started at Google's new campus in

14:34

Mountain View California it runs on 40%

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solar power and collects more water than

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it uses Hightech that pachai couldn't

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have imagined growing up in India with

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no telephone at home we were on a

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waiting list to get a rotary phone and

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for about 5 years and it finally came

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home I can still recall it vividly it

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changed our lives to me it was the first

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moment I understood the power of what

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getting access to technology meant so

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probably led me to be doing what I'm

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doing

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today what he's doing since 2019 is

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leading both Google and its parent

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company alphabet valued at $1.3

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trillion worldwide Google runs 90% of

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internet searches and 70% of smartphones

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we're really excited about but its

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dominance was attacked this past

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February when Microsoft linked its

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search engine to a chatbot in a race for

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AI dominance Google just released its

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chatbot named Bard it's really here to

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help you brainstorm ideas to generate

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content like a speech or a blog post or

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an email we were introduced to Bard by

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Google vice president sha and

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senior Vice President James manika

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here's Bard the first thing we learned

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was that Bard does not look for answers

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on the internet like Google search does

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so I wanted to get inspiration from some

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of the best speeches in the world Bard's

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replies come from a self-contained

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program that was mostly self-taught our

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experience was unsettling confounding

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absolutely confounding Bard appeared to

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possess the sum of human

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knowledge with microchips more than

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100,000 times faster than the human

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brain summarize the we asked Bard to

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summarize the New Testament it did in 5

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seconds and 17 words in Latin we asked

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for it in Latin that took another 4

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seconds then we played with a famous

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six-word short story often attributed to

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Hemingway for sale baby shoes news never

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worn wow the only prompt we gave was

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finish this

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story in 5

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seconds holy cow the shoes were a gift

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from my wife but we never had a baby

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they were from The six-word Prompt Bard

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created a deeply human tale with

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characters it invented including a man

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whose wife could not conceive and a

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stranger grieving after a miscarriage

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and longing for

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closure uh I am rarely

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speechless I don't know what to make of

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this give me we asked for the story in

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verse in 5 seconds there was a poem

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written by a machine with breathtaking

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insight into the mystery of Faith Bard

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wrote she knew her baby soul would

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always be

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alive the humanity at superhuman speed

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was a shock how is this possible James

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manika told us that over several months

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Bard read most everything on the

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internet and created a model of what

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language looks like rather than search

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its answers come from this language

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model so for example if I said to you

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Scott peanut butter and jelly right so

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it tries and learns to predict okay so

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peanut butter usually is followed by

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jelly it tries to predict the most

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probable next words based on everything

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it's learned uh so it's not going out to

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find stuff it's just predicting the next

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word but it doesn't feel like that we

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asked Bard why it helps people and it

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replied quote because it makes me

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happy B to my eye appears to be thinking

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appears to be making

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judgments that's not what's happening

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these machines are not sensient they are

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not aware of themselves they're not

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sentient they're not aware of themselves

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uh they can exhibit behaviors that look

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like that because keep in mind they've

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learned from us we are sentient beings

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we have beings that have feelings

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emotions ideas thoughts perspectives