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Magic Tech
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TechnologieTranscription
00:00And welcome to our last thing of the day. It is called Magic Tech. Is it tech? Is it magic?
00:07Is it even real?
00:09Come challenge yourself with these unique and exclusive tech shows by Magic Tech that will definitely leave you speechless or
00:17with 100 questions. Magic Tech.
00:21Thank you very much. Yeah, I will need it later for the spectator. So, hi everybody. My name is Sam.
00:30We have a little bit of Wi-Fi connection problem. So, we will show you something, but not the whole
00:36show we wanted to present to you today. Just before starting, I would like to make sure you will pay
00:43attention to what I will say. Can you raise your hand if you think you pay attention in life? Raise
00:49your hand.
00:51Wow. Everybody pay attention. Really? Can we do a test? Please put your hand like this just to make sure
00:56you will pay attention. It's just an attention test. Yes. You have to wake up. Come on. Same as me.
01:03Ready? Go.
01:05We are a team. Together. Same as me. Don't forget. No problem. No problem. Remember. Attention test. Put your hand
01:13like this. The right one. Move. The right. The right. On top of this one. And close your...
01:19Oh, please. Higher. Yes. And three times. One, two, three. If you pay attention, you should be able to do
01:25that without opening your hands.
01:28No, but... So, for attention, we will talk about it later. It's very important to pay attention in life. You
01:36know that we live in a fast changing world at a time of distraction.
01:39And I would like to show you a small video. I will comment the video. Let's go.
01:561943.
01:571943. Under the direction of Alan Turing, the allies at Betche Park decrypt again the encrypted communication from the German
02:06submarine. With 159 billion of billion combinations possible, the German thought that Enigma was unbreakable for men.
02:16They didn't doubt that such a strange machine will achieve this feat to save 14 million lives and shorten the
02:25war by two years.
02:28Ah, we finally realized the potential of technology and collaboration between humans and machines.
02:36Carried by the race for innovation, three men enter their lives to a machine in achieving our biggest dream.
02:46It's one small step for man, one giant leap for mankind.
02:54With four kilobytes of RAM, 32 of storage, the computer aboard Apollo 11 fascinates as much as its divides.
03:02Can a machine pilot better than a human? The nightmare of the machine which escape men already haunted our minds
03:12at this time.
03:17Open the pod bay doors.
03:20I'm sorry, Dave. I'm afraid I can't do that.
03:23If Kubrick explores singularity in 1968, IBM make it credible 30 years later and its deep blues for Kasparov.
03:34Our creation surpasses us. Today, our creation outperforms us in every domain.
03:41In healthcare, AI makes better than our doctors. What will become of the people who treat us?
03:51In arts, AI creates, paints, composes, writes. What will become of the people who inspire us?
04:01In law, AI beats 20 lawyers in legal analysis in 26 seconds. What will become of the people who defend
04:11us?
04:13In agriculture, AI drives tractors, anti-anticipate the harvest. What will become of the people who feed us?
04:21Artificial intelligence acquires our ordinary skills at an extraordinary speed. An existential and inescapable question then arises.
04:33What will become of humanity in the face of the awakening of artificial intelligence?
04:46Artificial intelligence
04:46Sorry, I have to restart the paper for the network, I told you. I will have to do it maybe
04:51twice.
04:54Okay, paper. Can you wake up now?
04:59So, what will, an existential question, what will become of humanity in the face of the awakening of artificial intelligence?
05:09Wow.
05:15Hey, paper. Can you please say hello to everyone?
05:22Hello, humans.
05:23Yeah, the song a little bit higher, the volume for her?
05:26Yeah, and me, can you say hello?
05:28With pleasure, but the two humans at the back look at me strangely.
05:32We're looking at you strangely.
05:38Oh, paper, I think the way, I will have no network for her. You have network?
05:46Nope, nope, nope, nope.
05:48So, I told you, we tried today, the network is not good with paper today.
05:53Can you do something, paper? Can you say hello?
05:57If not, I'm going to do something else. I need one person to come with me.
06:03Yes, with time.
06:04So, I will shorten this part because the network is too slow.
06:07I need one person to come with me, please.
06:09Who wants to come with me? One hand. One hand.
06:11Yes, you want to come with me?
06:13Oh, yeah, it will be on your movie. Wow.
06:16Such a realisator. Good one, good one. Realisator, actor. What's your name?
06:20Gordoff. Gordoff. Gordoff? Yes, Gordoff.
06:24Okay, Gordoff, the trick is very simple. People will, people is going to ask you to think about one number.
06:31Hence a Graven-Schiffer entree zero and nine.
06:34Think about any number between zero and nine, and I will tell you at the end, is it magic or
06:38technology?
06:39Because I have one question for you. If AI captures data better than our senses, if AI analyze them better
06:47than our brain,
06:48I have one question. Are you still able to distinguish magic from technology?
06:54Distinguish the algorithm, able to predict the time you will arrive at your destination, from the magician able to guess
07:01what you have in mind?
07:03Ready? You have one number in mind?
07:06Yeah.
07:06Okay, so let's put it in front of Pepper. Go in front of Pepper.
07:12Okay. Hello.
07:14No, no, no, no. She will write. Go, go there. Come on, Pepper.
07:19You have one number in mind? What was the number you have in mind? Can you say the number?
07:25I have seven.
07:27The microphone, please. Which number?
07:31Seven.
07:31Seven.
07:34It's a seven. So first part, first part. It could be a random. I'm going to go a little bit
07:39further. Go here, please. Put your hand like this.
07:44Come here and put your hand on top. Yes. Listen to what happens. When I snap my finger, you will
07:52close your eyes and focus on what you feel. Okay? For that?
07:57Just before, I would like you to do that, just before, I would like you to do that, to show
08:01everybody, please, for him.
08:04Pepper, can you do it again?
08:09Whoa, slow today, but she did it. Yes.
08:12So when I snap my finger, close your eyes, focus on what you feel. If I touch you here, don't
08:18say anything. Remember I touch you here. Don't say anything. If I touch you twice, here, don't say anything. Remember
08:25two things. I touch you twice. It was here. But don't say anything. I will just ask you if you
08:31feel something. Raise your hand. We'll do like Pepper show you. Okay?
08:34I should close my eyes. Close your eyes. Ready for that? Not now, when I snap my finger. Okay?
08:48If you feel something, close your eyes. If you feel something, if you feel something, raise your left hand.
08:57Okay, open your hand. Your eyes. When I snap, close your eyes and never open it. Just focus on what
09:03you feel. Ready? And focus on what you feel.
09:10Can you show me with your hand how many times I touch you? Show me with your hand. Left hand.
09:15Yes. Good one.
09:16Twice.
09:17Okay, don't say anything. With your left hand, show me where I touched you.
09:26On the back. On the back. Don't say anything. Just focus on what you feel. Remember, don't say anything. Okay?
09:32Don't say anything.
09:37If you feel something again, can you please raise your hand if you feel something? Close your eyes. Did you
09:46feel something? Don't say anything.
09:52If I touch you, if you feel something? Show me where I touch you. Where do you feel something? Where
09:58did you feel?
10:02Open your eyes. I never touch you. I touch a robot, not you. You want to stay on stage? Yeah.
10:10Okay. Next experience.
10:13For that, I will do it both in French and English. Did you really feel something here? Did you feel
10:19something here? Yeah. Okay. Don't worry.
10:23I'm going now to ask you to make a choice. It's very easy. Maybe it's in French, both in French
10:30and English.
10:31They are all European capital cities. Can you please name it? Paris, Madrid, Lesbon, Rome, Luxembourg, Berlin, Amsterdam, Vienna, Bucharest,
10:46Stockholm.
10:46Can you please choose one? Choose one. You saw it? You have one sitting in mind? Yes? Okay. Now I
10:55will ask you. I have other cards.
10:58Tell me to stop when you want. Take any card, the one you want. Just tell me to stop. Stop.
11:04Here, you want to choose after or is it okay? It's okay. Not the one we saw, just the one.
11:11Don't look to anybody. Keep it with you. You have the card in mind? You have the card in your
11:16mind? No, keep it with you.
11:18Okay. Let's do something. Someone has Google Assistant or I will take mine. If someone has Google Assistant on his
11:24phone, he can come with me and give his phone. If not, I will talk my Google Assistant. It's the
11:30normal one.
11:32Microphone.
11:36Quel temps fait-il aujourd'hui?
11:42Le ciel sera dégagé avec des passages nuageux aujourd'hui à Paris. Google Assistant, you know it. You know it.
11:47La température maximale atteindra 31 degrés et la minimale 16 degrés. Actuellement, il fait 31 degrés avec du soleil.
11:54Je veux parler, je veux parler avec le voyant du net.
12:05Bonjour, je suis le voyant du net. Comment vas-tu?
12:09Bien et toi?
12:11How are you doing? Good and you?
12:13Moi, je suis toujours au top et à ton service. Que veux-tu faire?
12:17Pourrais-tu m'aider à deviner ce qu'il a en tête?
12:23Oui, je peux t'aider. Que veux-tu que je devine?
12:27Concentre-toi.
12:31Je me concentre.
12:33Read again, read again, read.
12:35Read, read, read.
12:36Madrid.
12:41OK.
12:43Je suis prête. Que veux-tu savoir?
12:45À quelle ville il pense?
12:49J'ai un flash. Je vois Madrid. Est-ce que je peux encore t'aider?
12:53Est-ce que c'est correct ou pas? Madrid?
12:57Oui.
12:58Peut-être trop de bruit ambiant. Pourrais-tu me redire ça?
13:02OK.
13:06Concentre-toi.
13:07You're shocked.
13:09Peux-tu répéter, s'il te plaît?
13:10Concentre-toi.
13:16Tu vas dire picker, carreau, trèfle. Tu sais dire ça en French? Picker, carreau, trèfle? Non.
13:21Spade, heart, diamond, clubs.
13:23Clubs.
13:24Je me concentre.
13:26Spade.
13:27Heart.
13:28Heart.
13:29Diamond.
13:30Clubs.
13:31And count to ten. One, two, ten. Vite.
13:33One, two, three, four, five, six, eight, nine, ten.
13:36Je suis prête.
13:37Que veux-tu savoir?
13:40Quelle est sa carte?
13:49À quelle carte il pense?
13:54Je crois que j'ai plus de réseau encore.
13:57Don't show, don't show, don't show, don't show.
14:02Google est en train de tourner un petit peu, on n'a plus de réseau.
14:05C'est un cauchemar aujourd'hui.
14:10Allo, allo.
14:11Je vois les trois petits points, je suis désolé, on n'a plus de réseau encore.
14:22Quelle est la carte qu'il a en tête?
14:28Ok, je vais devoir le deviner moi-même, parce que Google, il n'y a plus de réseau du tout,
14:32Wi-Fi là.
14:32Donc mon téléphone n'arrive pas à le chercher.
14:38T'as du rouge?
14:40You have red.
14:41J'ai l'intuition que c'est le huit de cœur.
14:43As-tu encore besoin de moi?
14:44Eight of hearts, is this one?
14:47Can you search?
14:48Wow!
14:49So I told you, thank you very much.
14:52Thank you, Merci.
14:53Thank you.
14:55I told you, today is a little bit hard.
14:57All the day we have been fighting with the Wi-Fi.
15:00But what we are going to try to show you is, this one, I'm going to show you the last
15:05part of the video.
15:06Now we have seen that technology can able, can augment people.
15:12So what we just come to see is that technology automates, AI automates the fastidious and technical tasks
15:20where our human, our individual and collaborative abilities are not required.
15:27So I think this is fabulous because this farmer is not looking for a job.
15:37Thanks to AI, he studies climate data in real time and spend more time to deal with his local customers.
15:49This lawyer isn't putting her dress in the closet.
15:52Thanks to AI, she simulates her pleading and with this can defend her client's interest with conviction and eloquence.
16:04This artist is not packing up his text.
16:07Thanks to AI, he creates disruptive songs to share a whole new experience with his fans.
16:17This doctor is not planning his retirement.
16:21Thanks to AI, he focuses on the real effects of the recovery of the patient, adherence to treatment.
16:28You will spend six more time with him, with AI.
16:32So, artificial intelligence does not replace us.
16:36It augmente our capacity, our abilities to anticipate events, to boost analysis,
16:42to create experience or to diagnose anomalies.
16:49Our biological intelligence can be programmed.
16:53It's our identity, our unique value.
16:56Two-thirds of the jobs in 2050 does not yet exist, but will require not technical skills, but individual soft
17:04skills.
17:06And to solve our biggest challenge, we will have to focus on our collaborative intelligence, all of us,
17:13to fight against global warming,
17:16to anticipate the next health crisis.
17:22To feed the 10 billion inhabitants in 2050, and to reduce economic inequality.
17:29Artificial, biological, collaborative, intelligence is multiple.
17:34They didn't oppose each other, they add up.
17:38Let's not forget, our world is becoming more and more vulnerable, uncertain, complex, ambiguous.
17:46And in this fast-changing world, at a time of distraction, let's get ready now.
17:51Let's embrace innovation mindset.
17:56Let's foster creative process.
18:00Let's cultivate collaborative intelligence and efficiency.
18:05Thank you very much.
18:06Sorry for the Wi-Fi problem.
18:09My name is Sam.
18:10We invent, develop, and perform keynotes, innovative keynotes for humans to inspire them about their future.
18:19So if you want more information, we have a booth over there in the robot park.
18:23We have a local Wi-Fi there.
18:25And we have demo with HoloLens 2.
18:28We work with Microsoft.
18:30We have demo with Capgemini.
18:32They help us a lot.
18:34Four years in their innovation lab, developing some technology with paper, computer vision, etc.
18:41With HoloForge and others.
18:43Thank you very much.
18:49Thank you very much, Samuel.
18:50And that was Magic Tech.
18:54And that is a wrap for Wednesday.
18:57So thanks everyone for sticking with us, joining in.
19:01It's been a pleasure.
19:02Tomorrow is a fresh day as we continue with our demos, innovations, and then let's not forget also a chess
19:09match with Garry Kasparov.
19:12See you all tomorrow.
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