Artificial Intelligence and the future | André LeBlanc | TEDxMoncton

TEDx Talks
12 Jan 201510:06

Summary

TLDRThe speaker discusses the rapid growth of artificial intelligence (AI), predicting computers will match human intelligence by 2035 and surpass it by 2045. AI's evolution from muscle-replacement to brain-enhancement is highlighted, with examples like automated stock trading. The future of AI is seen as adaptive, self-learning, and intuitive, leading to advancements in various fields including medical discoveries. The speaker also touches on the exponential growth of technology, comparing it to Moore's Law, and suggests AI will manage the overwhelming influx of information, potentially connecting human brains to the cloud for enhanced capabilities.

Takeaways

  • 🚀 Artificial Intelligence (AI) is growing exponentially and is expected to reach human-level intelligence by 2035.
  • 🧠 By 2045, AI could surpass human intelligence collectively, according to Ray Kurzweil's projections.
  • 🔄 Historically, technology has evolved from replacing physical labor to enhancing cognitive functions.
  • 💡 AI like Google enhances human capabilities by providing information and automating repetitive tasks.
  • 💼 The stock market exemplifies AI's capabilities with automated trades, showcasing the potential across industries.
  • 🔄 Next-gen AI will be adaptive, self-learning, and intuitive, capable of changing its own rules in response to new information.
  • 🌐 AI will operate in a virtual world, potentially leading to significant advancements in fields like medical research.
  • 💊 AI could revolutionize medical research by simulating tests on virtual humans, accelerating the discovery of cures.
  • 📈 Technological growth is exponential, with computers expected to become incredibly powerful and affordable in the future.
  • 🧬 Other fields like nanotechnology and medical technology are also growing exponentially, promising rapid advancements.
  • ⏳ Human knowledge is doubling every year, making it impossible for the human brain to keep up, highlighting the need for AI assistance.

Q & A

  • What is the speaker's perspective on the current state of artificial intelligence?

    -The speaker is very excited and passionate about artificial intelligence, noting that it is growing at an exponential rate and that we are not even at 1% of what AI will become.

  • According to the transcript, what is the projected timeline for computers to match human intelligence?

    -By the year 2035, many experts believe that computers will be just as intelligent as humans.

  • What does Ray Kurzweil predict about the intelligence of computers by 2045?

    -Ray Kurzweil has projected that by 2045, computers will be more intelligent than all of humanity combined.

  • How does the speaker describe the evolution of technology in relation to human capabilities?

    -Initially, technology was developed to replace human muscles for physical tasks. In the last 100 years, it has been enhancing our brains, with examples like calculators for math, and automating repetitive tasks.

  • What is an example of AI in the stock market mentioned in the transcript?

    -A company in the US that performs 500 million automated trades per month, using robots to make decisions every millisecond.

  • What are the characteristics of the next generation of AI according to the speaker?

    -The next generation of AI will be more adaptive, self-learning, and intuitive, capable of changing its own rules when changes occur.

  • How does the speaker's AI company emulate human behavior?

    -The speaker's AI company can record patterns of behavior, like logging into websites, and then emulate that behavior on other websites.

  • What is the 'singularity' as mentioned in the transcript?

    -The singularity refers to a point when computers become so intelligent that the human race as we know it becomes obsolete, as described by Ray Kurzweil.

  • What historical comparison does the speaker make regarding technological unemployment?

    -The speaker compares the potential of AI replacing jobs to the historical shift from 90% of people working in agriculture to only 2%, suggesting that while jobs change, society benefits overall.

  • How does the speaker envision AI contributing to medical advancements?

    -AI will work in a virtual environment, testing theories and drugs billions of times over to find cures for diseases like cancer and Parkinson's.

  • What does the speaker suggest about the pace of technological change in the next 40 years?

    -The speaker suggests that the pace of technological change in the next 40 years will be so rapid that it will be equivalent to the amount of change that happened in the last 2,000 years.

  • What does the speaker predict about the future of work in relation to AI?

    -The speaker predicts that with AI advancements, people might work less, possibly reducing from 40-hour work weeks to 20-hour work weeks.

Outlines

00:00

🚀 The Future of Artificial Intelligence

The speaker expresses excitement and passion for artificial intelligence (AI), noting its exponential growth. They mention predictions that by 2035, computers will be as intelligent as humans, and by 2045, more intelligent than all humans combined. The speaker provides a brief history of technology's evolution, from replacing physical labor to enhancing cognitive functions, exemplified by the calculator. They discuss the current state of AI, such as automated stock trading, and predict that the next generation of AI will be adaptive, self-learning, and intuitive. They give an example of an AI company that can mimic human behavior after learning patterns. The speaker concludes by discussing the concept of the singularity, where AI surpasses human intelligence, and compares the potential obsolescence of the human race to the shift from an agricultural to a technological society.

05:01

📈 Exponential Growth and Technological Advancements

The speaker discusses the concept of exponential growth in technology, citing Moore's Law and the rapid pace at which technology is advancing. They predict that in the future, computers will be incredibly small and powerful, potentially leading to nanotechnology that can repair the body from within. The speaker reflects on the acceleration of knowledge doubling over time, from every 1500 years to every year in the information age. They discuss the limitations of the human brain in processing information and how AI can help manage the influx of data. The speaker envisions a future where humans can connect to AI, potentially expanding their cognitive abilities. They also touch on the idea of a virtual world, like the Matrix, where AI could simulate environments for research and development. The speaker concludes by emphasizing the positive impact of technology on society, suggesting that we may work less and benefit from the advancements in various fields.

Mindmap

Keywords

💡Artificial Intelligence

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the video, AI is discussed as a rapidly growing field with the potential to surpass human intelligence by 2045, as projected by Ray Kurzweil. The speaker is passionate about AI's exponential growth and its future impact across various industries.

💡Exponential Trend

An exponential trend indicates a growth pattern that increases at an accelerating rate. The script uses this term to describe the rapid advancement of AI, suggesting that we've only seen a tiny fraction of what AI can achieve. The speaker emphasizes that AI is growing so fast that in about 20 years, computers might match human intelligence.

💡Singularity

The singularity is a hypothetical point in the future at which technological growth becomes uncontrollable and irreversible, resulting in unprecedented developments in AI. Ray Kurzweil's projection about computers surpassing human intelligence is an example of approaching the singularity. The video suggests that this could lead to humans becoming obsolete.

💡Adaptive AI

Adaptive AI refers to artificial intelligence systems that can adjust and learn from new data, improving their performance over time without being explicitly programmed. The speaker gives an example of an AI company that can mimic human behavior, like logging into a website, showcasing the adaptive nature of next-generation AI.

💡Automation

Automation is the use of technology to perform tasks with minimal human intervention. The script mentions how automation has replaced physical labor and is now enhancing cognitive tasks. An example from the video is the stock market, where robots execute trades at a speed and volume unattainable by humans.

💡Neurons

Neurons are the fundamental units of the nervous system, responsible for transmitting information. In the context of the video, the speaker discusses the human brain's neuron count and how AI could potentially connect to a vast network, expanding human cognitive capabilities by linking to the cloud.

💡Moore's Law

Moore's Law is the observation that the number of transistors on a microchip doubles approximately every two years, leading to rapid advancements in computing power. The video uses Moore's Law to illustrate the exponential growth of technology and the decreasing cost of computing, which fuels AI development.

💡Nanotechnology

Nanotechnology involves the manipulation of matter on an atomic, molecular, and supramolecular scale. The video suggests that nanotechnology, like AI, is growing at an exponential rate and could lead to innovations such as microscopic computers capable of entering and repairing the human body.

💡Information Age

The Information Age is a period in human history during which the acceleration of technological innovation has led to a rapid increase in the availability of information. The video discusses how knowledge doubles every year in this age, making it impossible for the human brain to comprehend all incoming information, hence the need for AI to manage this data.

💡Virtual World

A virtual world is a computer-based simulated environment. The script talks about AI operating in a virtual world, suggesting that this is where innovations like finding cures for diseases will occur. The virtual world allows for safe, rapid testing and development, detached from physical constraints.

💡Knowledge Doubling

Knowledge doubling refers to the rapid acceleration of human knowledge and information. The video highlights that human knowledge is doubling every 12 months, making it increasingly difficult for individuals to stay updated without the aid of AI, which can process and analyze information at unprecedented speeds.

Highlights

Artificial intelligence is growing at an exponential rate.

Experts predict computers will be as intelligent as humans by 2035.

Ray Kurzweil projects computers will surpass human intelligence by 2045.

Technology has evolved from replacing physical labor to enhancing cognitive abilities.

Calculators are an early example of technology enhancing human brain functions.

Google is a form of artificial intelligence that enhances human experience.

AI in the stock market performs 500 million automated trades per month.

Next-generation AI will be adaptive, self-learning, and intuitive.

AI will be able to change its own rules when faced with changes.

An AI company can emulate human behavior patterns after learning from enough examples.

AI will lead to the singularity, making human race obsolete according to some.

The shift from agricultural to technological age has improved human life.

AI will work for humans, and humans will learn from AI.

Most inventions and cures in the future will be found by AI.

Exponential growth of technology is outpacing human comprehension.

Human knowledge is doubling every year in the information age.

AI will manage the overwhelming influx of information.

The potential for humans to connect wirelessly to AI, expanding cognitive abilities.

The pace of technological change will be dizzying and incredible.

The choice between embracing reality or virtual worlds in the future.

Technology will bring benefits and possibly less work for humans.

The future is exciting with technology exploding in growth.

Transcripts

play00:05

so I'm going to talk to you guys about

play00:06

artificial

play00:07

intelligence and artificial intelligence

play00:09

is still I'm very excited about it I'm

play00:11

very passionate about it and uh it's

play00:13

it's growing at an exponential rate and

play00:15

what's exciting about it is we're not

play00:16

even at 1% of what artificial

play00:18

intelligence is going to be and but it

play00:21

is an exponential Trend so by the year

play00:23

2035 a lot of experts are saying that

play00:25

computers will be just as intelligent as

play00:28

a

play00:28

human so that's in in about 20 years and

play00:32

by 2045 Ray kurtwell has has uh

play00:35

projected that computers will be more

play00:38

intelligent than all of humans

play00:42

combined so this is an exponential Trend

play00:45

just to give you a little bit background

play00:46

about uh the evolution of technology and

play00:48

everything we used to develop technology

play00:50

to replace our muscles right to do to

play00:52

pick up a bigger Boulder to a bigger

play00:54

truck a bigger this a bigger that and a

play00:56

lot of physical things have been uh

play00:59

replaced by technology in the past in

play01:01

the last 100 years we've been

play01:03

replacing we've been doing things to

play01:05

enhance our brains so the calculator

play01:07

would be a simple example of enhancing

play01:09

our ways of doing math and then we

play01:11

started automating things that were that

play01:13

were uh repetitive and then Google's

play01:16

another type of artificial intelligence

play01:18

in the sense that if I had Google and

play01:20

nobody else here did I would seem like a

play01:23

very intelligent person what what this

play01:26

does is it enhances our experience but

play01:28

it's not direct artificial intelligence

play01:30

now if you look at if you look at uh

play01:34

right now in the stock market there's

play01:36

one company in the US they do 500

play01:38

million automated trades per month so

play01:41

this is a

play01:42

robot that takes tons of

play01:45

information makes decisions every

play01:48

millisecond and makes millions hundreds

play01:50

of millions of dollars every year and so

play01:52

this is just an example of some of the

play01:54

artificial intelligence that's coming

play01:55

this is going to happen in every

play01:57

industry there's no way that a human

play01:59

could do that

play02:00

there's no way that a human could

play02:02

compete with that because there's so so

play02:04

much information going through this

play02:05

system and it's moving at the speed of

play02:07

light so the next generation of AI is

play02:10

going to be more adaptive it's going to

play02:12

be self-learning and it's going to be

play02:14

intuitive so when things change that's

play02:17

when automation kind of fails but the

play02:19

next generation of uh of automation

play02:21

what's going to happen is if something

play02:23

changes it'll be able to change its own

play02:25

rules and so just as an example I have

play02:27

an artificial intelligence company and

play02:29

what what it does is if I give it a

play02:31

simple command like if I told the person

play02:32

to log into a website intuitively we

play02:35

know how to log into a website we know

play02:36

what to do and it's the same thing if

play02:39

you if you can record that pattern of

play02:40

behavior once you've seen enough

play02:42

websites a computer can do that as well

play02:44

and eventually basically anything that's

play02:46

done on a computer will be able to be

play02:49

emulated and eventually these computers

play02:52

will be so intelligent that it'll it

play02:54

will lead to the singularity which is

play02:56

what Ray kwell calls it and that will

play02:58

mean that the human race as we know it

play03:01

will become

play03:05

obsolete exciting isn't

play03:08

it

play03:10

so a lot of people think this is what's

play03:12

going to happen when that happens but

play03:14

the reality is this has happened before

play03:17

200 years ago 90% of people worked in

play03:19

the agricultural age they worked in

play03:22

agriculture and so now 2% of people work

play03:25

in

play03:26

agriculture now are we better off or are

play03:28

we worse off we're better off things got

play03:31

better and the same thing's going to

play03:32

happen in the next 40 years as all these

play03:34

Technologies get faster and faster

play03:36

they're going to be we're going to see

play03:39

we're going to have to shift to do

play03:40

something else but it's going to be it's

play03:43

going to be good for the for the human

play03:45

race in general because the robots will

play03:46

be working for

play03:48

us and what's also important to

play03:50

understand is the AI world will be

play03:53

virtual most people see AI as a robot

play03:56

but really Google when you do a Google

play03:58

search million of algorithms are running

play04:00

in the background on servers somewhere

play04:02

else and it's going to be the same idea

play04:04

but AI are going to be doing tests in a

play04:06

virtual world and we can call that the

play04:08

Matrix we can call it whatever we want

play04:11

but what's going to happen is that if

play04:13

you had if you wanted to get find the

play04:14

cure for

play04:16

cancer what more effective way to do it

play04:19

than to test on a simulated human being

play04:21

a billion times with a certain

play04:24

drug right instead of doing it on a rat

play04:27

or on a monkey or all these things

play04:29

you're going to do do it in a simulated

play04:30

environment a million times and let's

play04:32

say this this AI is looking for a cancer

play04:34

drug this one's looking for a Parkinson

play04:35

drug and this AI will develop a theory

play04:38

on try to on trying to find a cure for

play04:40

that that disease and it may find

play04:42

something that helps out the Parkinson

play04:44

so these billions of AIS will all be

play04:46

working together and in the Next

play04:48

Generation most inventions and most

play04:50

cures in medical Fields will be found by

play04:54

Ai and not by

play04:57

humans now when's this going to happen

play05:01

well Bill Gates said we always

play05:03

overestimate the change that will occur

play05:04

in the next two years and we

play05:06

underestimate the change that will occur

play05:07

in the next 10 and the reason he says

play05:09

that is because of exponential growth if

play05:12

you think about Mo's

play05:14

law where technology doubles every two

play05:17

years technology now 25 or 50 years ago

play05:21

if you had a cell phone if you have a

play05:23

cell phone now 50 years ago it's more

play05:26

powerful than all the computers

play05:28

combin and so computers getting faster

play05:30

and faster and faster and they're

play05:32

getting cheaper and cheaper and cheaper

play05:34

and so 25 years from now they're

play05:35

projecting that computers will will be

play05:38

able to uh a cell phone sized computer

play05:40

will be fit able to fit into a cell into

play05:43

a blood cell so you'll be able to take a

play05:45

vaccine and maybe it'll go inside and

play05:47

repair your body who knows the techn ne

play05:48

nanotechnology is growing at an

play05:50

exponential rate as well so

play05:52

nanotechnology Medical Technology all

play05:54

these Technologies are growing

play05:55

exponentially and we're not even in the

play05:57

baby phase of what's going on these

play05:58

Trends are going to going to start to go

play06:00

up and things are going to change

play06:01

drastically and very

play06:04

quickly 1500 years

play06:06

ago or 1500 years ago in the past before

play06:09

the year zero it took about 1500 years

play06:12

to to double knowledge so if every 1500

play06:16

years you you would double knowledge so

play06:17

you'd have two times of knowledge and

play06:18

then every 1500 years after that double

play06:20

again and so we started writing books

play06:22

and we started to write things down and

play06:24

language and things like that and it

play06:25

started to happen every 250 years and

play06:28

then we discovered science and then it

play06:30

started happening every 25

play06:32

years and then we created the created an

play06:35

information technology it happened every

play06:37

8 years and now we're in the information

play06:39

age and it's happening every year so

play06:41

literally every 12 months human

play06:43

knowledge is

play06:45

doubling and so we're getting to a point

play06:48

where the human brain can't comprehend

play06:50

all the information that's coming

play06:52

in and so what's going to happen is 200

play06:58

years ago you could have been an expert

play06:59

in 10 different fields if you studi them

play07:02

enough now you can barely be an expert

play07:04

in one field you have to go into a

play07:06

section of a section of a section of a

play07:08

field and be an expert in

play07:10

that and and to make an impact in that

play07:13

field will be very difficult and so the

play07:16

human brain has about 86 billion neurons

play07:19

it's about four times as much as a

play07:21

chimpanzee it's not enough so this is

play07:24

where artificial intelligence is going

play07:26

to come in all this information that's

play07:28

coming in

play07:30

is going to get managed by artificial

play07:31

intelligence but at the same time human

play07:34

is the humankind is going to learn from

play07:36

this AI so what if we could add 10 times

play07:38

the neurons that you have in your

play07:40

brain what if you could add a 100 what

play07:42

if you had add a million a million times

play07:45

the neurons that you have right now into

play07:47

the cloud so wirelessly connecting

play07:49

imagine if you had a doctor that says I

play07:52

don't like

play07:52

technology the internet's not for me and

play07:56

then you had another one where

play07:58

information is doubl every year in fact

play08:00

it's going to double every 12 hours at

play08:01

one point according to IBM so imagine

play08:04

one month goes by that one month it has

play08:06

doubled 60 times so you need to take an

play08:10

8-year degree to learn what happened

play08:12

last

play08:13

month right not going to happen so the

play08:16

doctor that's connected to AI he's going

play08:18

to walk into the doctor's office he's

play08:19

going to run a Windows update boom he's

play08:22

learned everything that's happened in

play08:23

the last month and this is how things

play08:26

are going to happen they're going to

play08:27

accelerate at a dizzying pace

play08:30

and it's going to be

play08:31

incredible now my last slide here is the

play08:34

is the Matrix so at some point we're

play08:36

going to have to make a choice right you

play08:38

take the blue pill and you believe

play08:40

whatever you want to believe and I I

play08:41

don't believe that people will be forced

play08:44

into this

play08:45

system you you know if you don't want to

play08:47

live in reality you could go and and

play08:50

play something or play a game and it

play08:51

already exists it's called video games

play08:54

right but if you wanted to be World of

play08:56

Warcraft and be a fantasy fighter and do

play08:58

all that stuff you could do it in a

play08:59

virtual world fill your boots but if you

play09:02

want to take

play09:04

part in the next 50 100 years which 40

play09:08

years from now we will look back to

play09:11

today and say I cannot believe we used

play09:15

to do

play09:16

that in the medical field in every in

play09:18

every field possible we we'll look back

play09:20

and we'll say I cannot believe the

play09:22

amount of

play09:23

advances that happen in the next 30

play09:26

Years there's going to be just as much

play09:28

change happen that happen in the last

play09:31

2,000 and technology is is exploding and

play09:35

but it's going to be good it's going to

play09:37

be good for all of us we're actually

play09:38

going to benefit from it we might even

play09:41

be able to work less right uh we used to

play09:43

work 80 hours a week right when we used

play09:45

to work in the agricultural age now we

play09:47

work 40 maybe we'll work 20 right I'll

play09:49

probably still work a 100 but that's

play09:51

just me but it's going to be an exciting

play09:54

time and uh I hope you're excited about

play09:56

the future I'm excited about the future

play09:58

thank you very much much

Rate This

5.0 / 5 (0 votes)

Ähnliche Tags
Artificial IntelligenceFuture TechSingularityAI GrowthTech EvolutionRay KurzweilAutomationVirtual WorldExponential TrendsHuman Obsolescence
Benötigen Sie eine Zusammenfassung auf Englisch?