1 00:00:12,612 --> 00:00:19,953 >>> THERE IS A REVOLUTION HAPPENING RIGHT NOW IN THE WORLD OF ARTIFICIAL INTELLIGENCE. CONFOUNDING. 2 00:00:20,019 --> 00:00:25,024 ARE WE READY FOR IT? I AM RARELY SPEECHLESS. I DON'T KNOW WHAT TO MAKE OF THIS. 3 00:00:25,091 --> 00:00:31,598 WITH RARE ACCESS, WE WILL SHOW YOU WHAT GOOGLE IS DEVELOPING. AND THE QUESTIONS THEY'RE ASKING THEMSELVES. 4 00:00:31,664 --> 00:00:38,238 >> ON MY WAY, I WILL BRING AN APPLE TO YOU. >> AS THEY BEGIN TO UNVEIL COMPUTING POWER THAT WILL CHANGE 5 00:00:38,304 --> 00:00:46,079 EVERY PART OF OUR WORLD FOREVER. >> I'VE BEEN WORKING ON AI FOR DECADES NOW, AND I'VE ALWAYS BELIEVED THAT IT'S GOING TO BE 6 00:00:46,146 --> 00:00:53,219 THE MOST IMPORTANT INVENTION THAT HUMANITY WILL EVER MAKE. >>> YOU'VE DRIVEN THIS OUT HERE BEYOND THE GATES? 7 00:00:53,286 --> 00:01:04,564 >> OH, YEAH. >> IT'S FUN. >> IT'S FUN. >> SNAP, CRACKLE, POP, RIGHT? 8 00:01:04,631 --> 00:01:11,304 >>> NICHOLAS CAGE HAS BEEN WORKING IN HOLLYWOOD FOR MORE THAN 40 YEARS. WON AN ACADEMY AWARD AND PLAYED 9 00:01:11,371 --> 00:01:22,248 A KALEIDOSCOPE OF CHARACTERS. >> LET ME KNOW HOW THIS CONNECT. >> I HAD IT ALL THOUGHT OUT. GETTING HIMSELF UP OUT OF THE 10 00:01:22,315 --> 00:01:25,852 MUG SHOT. >>> I'M LESLEY STAHL. >> I'M BILL WHITAKER. >> I'M ANDERSON COOPER. 11 00:01:25,919 --> 00:01:32,859 >> I'M SHARYN ALFONSI. >> I'M JON WERTHEIM. >> I'M CECILIA VEGA. >> I'M SCOTT PELLEY. 12 00:01:32,926 --> 00:01:49,609 THOSE STORIES AND MORE TONIGHT ON "60 MINUTES." >>> WE MAY LOOK ON OUR TIME AS THE MOMENT CIVILIZATION WAS 13 00:01:49,676 --> 00:01:58,418 TRANSFORMED AS IT WAS BY FIRE, AGRICULTURE AND ELECTRICITY. IN 2023, WE LEARNED THAT A MACHINE TAUGHT ITSELF HOW TO 14 00:01:58,485 --> 00:02:07,360 SPEAK TO HUMANS LIKE A PEER. WHICH IS TO SAY, WITH CREATIVITY, TRUTH, ERRORS AND LIES. 15 00:02:07,427 --> 00:02:12,198 THE TECHNOLOGY, KNOWN AS A CHATBOT, IS ONLY ONE OF THE RECENT BREAKTHROUGHS IN ARTIFICIAL INTELLIGENCE - 16 00:02:12,265 --> 00:02:22,976 MACHINES THAT CAN TEACH THEMSELVES SUPERHUMAN SKILLS. IN APRIL, WE EXPLORED WHAT'S COMING NEXT AT GOOGLE, A LEADER 17 00:02:23,042 --> 00:02:31,751 IN THIS NEW WORLD. CEO SUNDAR PICHAI TOLD US AI WILL BE AS GOOD OR AS EVIL AS HUMAN NATURE ALLOWS. 18 00:02:31,818 --> 00:02:40,627 THE REVOLUTION, HE SAYS, IS COMING FASTER THAN YOU KNOW. >> DO YOU THINK SOCIETY IS PREPARED FOR WHAT'S COMING? 19 00:02:40,693 --> 00:02:49,469 >> YOU KNOW, THERE ARE TWO WAYS I THINK ABOUT IT. ON ONE HAND I FEEL, NO, BECAUSE, YOU KNOW, THE PACE AT WHICH WE 20 00:02:49,536 --> 00:02:55,208 CAN THINK AND ADAPT AS SOCIETAL INSTITUTIONS, COMPARED TO THE PACE AT WHICH THE TECHNOLOGY'S EVOLVING, THERE SEEMS TO BE A 21 00:02:55,275 --> 00:03:01,681 MISMATCH. ON THE OTHER HAND, COMPARED TO ANY OTHER TECHNOLOGY, I'VE SEEN MORE PEOPLE WORRIED ABOUT IT 22 00:03:01,748 --> 00:03:10,356 EARLIER IN ITS LIFE CYCLE. SO I FEEL OPTIMISTIC THE NUMBER OF PEOPLE, YOU KNOW, WHO HAVE STARTED WORRYING ABOUT THE 23 00:03:10,423 --> 00:03:16,095 IMPLICATIONS, AND HENCE THE CONVERSATIONS ARE STARTING IN A SERIOUS WAY AS WELL. >> OUR CONVERSATIONS WITH 24 00:03:16,162 --> 00:03:27,040 50-YEAR-OLD SUNDAR PICHAI STARTED AT GOOGLE'S NEW CAMPUS IN MOUNTAIN VIEW, CALIFORNIA. IT RUNS ON 40% SOLAR POWER AND 25 00:03:27,106 --> 00:03:37,317 COLLECTS MORE WATER THAN IT USES HIGH-TECH THAT PICHAI COULDN'T HAVE IMAGINED GROWING UP IN INDIA WITH NO TELEPHONE AT HOME. 26 00:03:37,383 --> 00:03:43,323 >> WE WERE ON A WAITING LIST TO GET A ROTARY PHONE, AND FOR ABOUT FIVE YEARS. AND IT FINALLY CAME HOME. 27 00:03:43,389 --> 00:03:49,596 I CAN STILL RECALL IT VIVIDLY. IT CHANGED OUR LIVES. TO ME, IT WAS THE FIRST MOMENT I UNDERSTOOD THE POWER OF WHAT 28 00:03:49,662 --> 00:03:55,802 GETTING ACCESS TO TECHNOLOGY MEANT AND, SO, PROBABLY LED ME TO BE DOING WHAT I'M DOING TODAY. 29 00:03:55,868 --> 00:04:08,548 >> WHAT HE'S DOING, SINCE 2019, IS LEADING BOTH GOOGLE AND ITS PARENT COMPANY, ALPHABET, VALUED AT $1.5 TRILLION. 30 00:04:08,615 --> 00:04:17,724 WORLDWIDE, GOOGLE RUNS 90% OF INTERNET SEARCHES AND 70% OF SMARTPHONES. BUT ITS DOMINANCE WAS ATTACKED 31 00:04:17,790 --> 00:04:25,898 THIS PAST FEBRUARY WHEN MICROSOFT LINKED ITS SEARCH ENGINE TO A CHATBOT. IN A RACE FOR AI DOMINANCE, 32 00:04:25,965 --> 00:04:36,075 IN MARCH, GOOGLE RELEASED ITS CHATBOT NAMED BARD. >> IT'S REALLY HERE TO HELP YOU BRAINSTORM IDEAS, TO GENERATE 33 00:04:36,142 --> 00:04:44,951 CONTENT, LIKE A SPEECH, OR A BLOG POST, OR AN EMAIL. >> WE WERE INTRODUCED TO BARD BY GOOGLE VICE PRESIDENT 34 00:04:45,018 --> 00:04:54,293 SISSIE HSIAO AND SENIOR VICE PRESIDENT JAMES MANYIKA. THE FIRST THING WE LEARNED WAS THAT BARD DOES NOT LOOK FOR 35 00:04:54,360 --> 00:05:02,702 ANSWERS ON THE INTERNET LIKE GOOGLE SEARCH DOES. >> SO I WANTED TO GET INSPIRATION FROM SOME OF THE 36 00:05:02,769 --> 00:05:10,943 BEST SPEECHES IN THE WORLD. >> BARD'S REPLIES COME FROM A SELF-CONTAINED PROGRAM THAT WAS MOSTLY SELF-TAUGHT. 37 00:05:11,010 --> 00:05:16,849 OUR EXPERIENCE WAS UNSETTLING. >> CONFOUNDING, ABSOLUTELY CONFOUNDING. BARD APPEARED TO POSSESS THE SUM 38 00:05:16,916 --> 00:05:25,158 OF HUMAN KNOWLEDGE, WITH MICRO CHIPS MORE THAN 100,000 TIMES FASTER THAN THE HUMAN BRAIN. SUMMARIZE -- 39 00:05:25,224 --> 00:05:32,398 >> WE ASKED BARD TO SUMMARIZE THE NEW TESTAMENT. IT DID, IN FIVE SECONDS AND 17 WORDS. 40 00:05:32,465 --> 00:05:39,706 IN LATIN. WE ASKED FOR IT IN LATIN - THAT TOOK ANOTHER FOUR SECONDS. THEN, WE PLAYED WITH A FAMOUS 41 00:05:39,772 --> 00:05:46,646 SIX-WORD SHORT STORY, OFTEN ATTRIBUTED TO HEMINGWAY. >> FOR SALE, BABY SHOES, NEVER WORN. 42 00:05:46,713 --> 00:05:56,422 >> WOW. >> THE ONLY PROMPT WE GAVE WAS FINISH THIS STORY. IN FIVE SECONDS. 43 00:05:56,489 --> 00:06:03,696 HOLY COW. THE SHOES WERE A GIFT FROM MY WIFE, BUT WE NEVER HAD A BABY. >> FROM THE SIX-WORD PROMPT, 44 00:06:03,763 --> 00:06:15,141 BARD CREATED A DEEPLY HUMAN TALE WITH CHARACTERS IT INVENTED INCLUDING A MAN WHOSE WIFE COULD NOT CONCEIVE, AND A STRANGER, 45 00:06:15,208 --> 00:06:24,183 GRIEVING AFTER A MISCARRIAGE, AND LONGING FOR CLOSURE. >> I AM RARELY SPEECHLESS. I DON'T KNOW WHAT TO MAKE OF 46 00:06:24,250 --> 00:06:34,360 THIS. GIVE ME THAT STORY. WE ASKED FOR THE STORY IN VERSE. IN FIVE SECONDS, THERE WAS A 47 00:06:34,427 --> 00:06:44,170 POEM WRITTEN BY A MACHINE WITH BREATHTAKING INSIGHT INTO THE MYSTERY OF FAITH. BARD WROTE, "SHE KNEW HER BABY'S 48 00:06:44,237 --> 00:06:53,279 SOUL WOULD ALWAYS BE ALIVE." THE HUMANITY, AT SUPERHUMAN SPEED, WAS A SHOCK. >> HOW IS THIS POSSIBLE? 49 00:06:53,346 --> 00:07:02,355 >> JAMES MANYIKA TOLD US THAT OVER SEVERAL MONTHS, BARD READ MOST EVERYTHING ON THE INTERNET AND CREATED A MODEL OF WHAT 50 00:07:02,421 --> 00:07:11,597 LANGUAGE LOOKS LIKE. RATHER THAN SEARCH, ITS ANSWERS COME FROM THIS LANGUAGE MODEL. >> SO, FOR EXAMPLE, IF I SAID TO 51 00:07:11,664 --> 00:07:17,804 YOU, SCOTT, "PEANUT BUTTER AND?" >> JELLY. >> RIGHT. SO, IT TRIES AND LEARNS TO 52 00:07:17,870 --> 00:07:23,543 PREDICT, OKAY, SO PEANUT BUTTER USUALLY IS FOLLOWED BY JELLY. IT TRIES TO PREDICT THE MOST PROBABLE NEXT WORDS, BASED ON 53 00:07:23,609 --> 00:07:30,817 EVERYTHING IT'S LEARNED. SO, IT'S NOT GOING OUT TO FIND STUFF, IT'S JUST PREDICTING THE NEXT WORD. 54 00:07:30,883 --> 00:07:38,157 >> BUT IT DOESN'T FEEL LIKE THAT. WE ASKED BARD WHY IT HELPS PEOPLE, AND IT REPLIED, QUOTE, 55 00:07:38,224 --> 00:07:50,303 "BECAUSE IT MAKES ME HAPPY." BARD, TO MY EYE, APPEARS TO BE THINKING. APPEARS TO BE MAKING JUDGMENTS. 56 00:07:50,369 --> 00:07:57,810 THAT'S NOT WHAT'S HAPPENING? THESE MACHINES ARE NOT SENTIENT. THEY ARE NOT AWARE OF THEMSELVES. 57 00:07:57,877 --> 00:08:03,616 >> THEY'RE NOT SENTIENT, THEY'RE NOT AWARE OF THEMSELVES. THEY CAN EXHIBIT BEHAVIORS THAT LOOK LIKE THAT. 58 00:08:03,683 --> 00:08:10,857 BECAUSE, KEEP IN MIND, THEY'VE LEARNED FROM US. WE'RE SENTIENT BEINGS. WE HAVE BEINGS THAT HAVE 59 00:08:10,923 --> 00:08:18,130 FEELINGS, EMOTIONS, IDEAS, THOUGHTS, PERSPECTIVES. WE'VE REFLECTED ALL THAT IN BOOKS, IN NOVELS, IN FICTION. 60 00:08:18,197 --> 00:08:26,472 SO, WHEN THEY LEARN FROM THAT, THEY BUILD PATTERNS FROM THAT. SO, IT'S NO SURPRISE TO ME THAT THE EXHIBITED BEHAVIOR SOMETIMES 61 00:08:26,539 --> 00:08:34,347 LOOKS LIKE MAYBE THERE'S SOMEBODY BEHIND IT. THERE'S NOBODY THERE. THESE ARE NOT SENTIENT BEINGS. 62 00:08:34,413 --> 00:08:42,955 >> ZIMBABWE BORN, OXFORD EDUCATED, JAMES MANYIKA HOLDS A NEW POSITION AT GOOGLE, HIS JOB IS TO THINK ABOUT HOW AI AND 63 00:08:43,022 --> 00:08:52,098 HUMANITY WILL BEST CO-EXIST. >> AI HAS THE POTENTIAL TO CHANGE MANY WAYS IN WHICH WE'VE THOUGHT ABOUT SOCIETY, ABOUT 64 00:08:52,164 --> 00:08:58,304 WHAT WE'RE ABLE TO DO, THE PROBLEMS WE CAN SOLVE. >> BUT AI ITSELF WILL POSE ITS OWN PROBLEMS. 65 00:08:58,371 --> 00:09:04,610 COULD HEMINGWAY WRITE A BETTER SHORT STORY? MAYBE. BUT BARD CAN WRITE A MILLION 66 00:09:04,677 --> 00:09:13,986 BEFORE HEMINGWAY COULD FINISH ONE. IMAGINE THAT LEVEL OF AUTOMATION ACROSS THE ECONOMY. 67 00:09:14,053 --> 00:09:18,557 A LOT OF PEOPLE CAN BE REPLACED BY THIS TECHNOLOGY? >> YES, THERE ARE SOME JOB OCCUPATIONS THAT'LL START TO 68 00:09:18,624 --> 00:09:24,997 DECLINE OVER TIME. THERE ARE ALSO NEW JOB CATEGORIES THAT'LL GROW OVER TIME. 69 00:09:25,064 --> 00:09:31,771 BUT THE BIGGEST CHANGE WILL BE THE JOBS THAT'LL BE CHANGED. SOMETHING LIKE MORE THAN TWO-THIRDS WILL HAVE THEIR 70 00:09:31,837 --> 00:09:38,010 DEFINITIONS CHANGE. NOT GO AWAY, BUT CHANGE. BECAUSE THEY'RE NOW BEING ASSISTED BY AI AND BY 71 00:09:38,077 --> 00:09:44,283 AUTOMATION. SO THIS IS A PROFOUND CHANGE WHICH HAS IMPLICATIONS FOR SKILLS. 72 00:09:44,350 --> 00:09:49,155 HOW DO WE ASSIST PEOPLE TO BUILD NEW SKILLS, LEARN TO WORK ALONGSIDE MACHINES? AND HOW DO THESE COMPLEMENT WHAT 73 00:09:49,221 --> 00:09:56,762 PEOPLE DO TODAY? >> THIS IS GOING TO IMPACT EVERY PRODUCT ACROSS EVERY COMPANY, AND SO THAT'S WHY I THINK IT'S A 74 00:09:56,829 --> 00:10:01,467 VERY, VERY PROFOUND TECHNOLOGY. AND, SO, WE ARE JUST IN EARLY DAYS. >> EVERY PRODUCT IN EVERY 75 00:10:01,534 --> 00:10:07,940 COMPANY. >> THAT'S RIGHT. AI WILL IMPACT EVERYTHING. SO, FOR EXAMPLE, YOU COULD BE A 76 00:10:08,007 --> 00:10:14,580 RADIOLOGIST. IF YOU THINK ABOUT FIVE TO TEN YEARS FROM NOW, YOU'RE GOING TO HAVE AN AI COLLABORATOR WITH 77 00:10:14,647 --> 00:10:20,219 YOU. IT MAY TRIAGE. YOU COME IN THE MORNING. YOU -- LET'S SAY YOU HAVE 100 78 00:10:20,286 --> 00:10:24,890 THINGS TO GO THROUGH. IT MAY SAY, "THESE ARE THE MOST SERIOUS CASES YOU NEED TO LOOK AT FIRST." 79 00:10:24,957 --> 00:10:33,199 OR WHEN YOU'RE LOOKING AT SOMETHING, IT MAY POP UP AND SAY, YOU MAY HAVE MISSED SOMETHING IMPORTANT. 80 00:10:33,265 --> 00:10:36,402 WHY WOULDN'T WE? WHY WOULDN'T WE TAKE ADVANTAGE OF A SUPER-POWERED ASSISTANT TO HELP YOU ACROSS EVERYTHING YOU 81 00:10:36,469 --> 00:10:43,275 DO? YOU MAY BE A STUDENT TRYING TO LEARN MATH OR HISTORY. AND, YOU KNOW, YOU WILL HAVE 82 00:10:43,342 --> 00:10:50,049 SOMETHING HELPING YOU. >> WE ASKED PICHAI WHAT JOBS WOULD BE DISRUPTED. HE SAID KNOWLEDGE WORKERS. 83 00:10:50,116 --> 00:11:00,626 PEOPLE LIKE WRITERS, ACCOUNTANTS, ARCHITECTS AND, IRONICALLY, SOFTWARE ENGINEERS. AI WRITES COMPUTER CODE, TOO. 84 00:11:00,693 --> 00:11:08,934 TODAY SUNDAR PICHAI WALKS A NARROW LINE. A FEW EMPLOYEES HAVE QUIT, SOME BELIEVING THAT GOOGLE'S AI 85 00:11:09,001 --> 00:11:17,276 ROLLOUT IS TOO SLOW, OTHERS -- TOO FAST. THERE ARE SOME SERIOUS FLAWS. JAMES MANYIKA ASKED BARD ABOUT 86 00:11:17,343 --> 00:11:26,118 INFLATION. IT WROTE AN INSTANT ESSAY IN ECONOMICS AND RECOMMENDED FIVE BOOKS. 87 00:11:26,185 --> 00:11:37,063 BUT DAYS LATER, WE CHECKED. NONE OF THE BOOKS IS REAL. BARD FABRICATED THE TITLES. THIS VERY HUMAN TRAIT, ERROR 88 00:11:37,129 --> 00:11:46,105 WITH CONFIDENCE, IS CALLED, IN THE INDUSTRY, HALLUCINATION. ARE YOU GETTING A LOT OF HALLUCINATIONS 89 00:11:46,172 --> 00:11:50,009 HALLUCINATIONS? >> YES, YOU KNOW, WHICH IS EXPECTED. NO ONE IN THE FIELD HAS YET 90 00:11:50,076 --> 00:11:55,748 SOLVED THE HALLUCINATION PROBLEMS. ALL MODELS DO HAVE THIS AS AN ISSUE. 91 00:11:55,815 --> 00:12:02,588 >> IS IT A SOLVABLE PROBLEM? >> IT'S A MATTER OF INTENSE DEBATE. I THINK WE'LL MAKE PROGRESS. 92 00:12:02,655 --> 00:12:11,997 >> TO HELP CURE HALLUCINATIONS, BARD FEATURES A GOOGLE-IT BUTTON THAT LEADS TO OLD-FASHIONED SEARCH. 93 00:12:12,064 --> 00:12:19,438 GOOGLE HAS ALSO BUILT SAFETY FILTERS INTO BARD TO SCREEN FOR THINGS LIKE HATE SPEECH AND BIAS. 94 00:12:19,505 --> 00:12:25,244 HOW GREAT A RISK IS THE SPREAD OF DISINFORMATION? >> AI WILL CHALLENGE THAT IN A DEEPER WAY. 95 00:12:25,311 --> 00:12:33,586 THE SCALE OF THIS PROBLEM IS GOING TO BE MUCH BIGGER. >> BIGGER PROBLEMS, HE SAYS, WITH FAKE NEWS AND FAKE IMAGES. 96 00:12:33,652 --> 00:12:41,894 >> IT WILL BE POSSIBLE WITH AI TO CREATE, YOU KNOW, A VIDEO EASILY, WHERE IT COULD BE SCOTT SAYING SOMETHING, OR ME SAYING 97 00:12:41,961 --> 00:12:46,031 SOMETHING, AND WE NEVER SAID THAT, AND IT COULD LOOK ACCURATE. BUT, YOU KNOW, ON A SOCIETAL 98 00:12:46,098 --> 00:12:53,873 SCALE, YOU KNOW, IT CAN CAUSE A LOT OF HARM. >> IS BARD SAFE FOR SOCIETY? >> THE WAY WE HAVE LAUNCHED IT 99 00:12:53,939 --> 00:13:01,413 TODAY, AS AN EXPERIMENT IN A LIMITED WAY, I THINK SO. BUT WE ALL HAVE TO BE RESPONSIBLE IN EACH STEP ALONG 100 00:13:01,480 --> 00:13:10,489 THE WAY. >> THIS PAST SPRING, GOOGLED RELEASED AN ADVANCED VERSION OF BARD THAT CAN WRITE SOFTWARE AND 101 00:13:10,556 --> 00:13:20,866 CONNECT TO THE INTERNET. GOOGLE SAYS IT'S DEVELOPING EVEN MORE SOPHISTICATED A D AI MODEL. YOU ARE LETTING THIS OUT SLOWLY 102 00:13:20,933 --> 00:13:27,406 SO THAT SOCIETY CAN GET USED TO IT? >> THAT'S ONE PART OF IT. ONE PART IS ALSO SO THAT WE GET 103 00:13:27,473 --> 00:13:37,216 THE USER FEEDBACK AND WE CAN DEVELOP MORE ROBUST SAFETY LAYERS BEFORE WE BUILD -- BEFORE WE DEPLOY MORE CAPABLE MODELS. 104 00:13:37,283 --> 00:13:52,331 >> OF THE AI ISSUES WE TALKED ABOUT, THE MOST MYSTERIOUS IS CALLED EMERGENT PROPERTIES. SOME AI SYSTEMS ARE TEACHING 105 00:13:52,398 --> 00:13:56,502 THEMSELVES SKILLS THEY WEREN'T EXPECTED TO HAVE. HOW THIS HAPPENS IS NOT WELL UNDERSTOOD. 106 00:13:56,569 --> 00:14:08,080 FOR EXAMPLE, ONE GOOGLE AI PROGRAM ADAPTED, ON ITS OWN, AFTER IT WAS PROMPTED IN THE LANGUAGE OF BANGLADESH, WHICH IT 107 00:14:08,147 --> 00:14:14,787 WAS NOT TRAINED TO TRANSLATE. >> WE DISCOVERED THAT WITH VERY FEW AMOUNTS OF PROMPTING IN BENGALI, IT CAN NOW TRANSLATE 108 00:14:14,853 --> 00:14:28,367 ALL OF BENGALI. SO NOW, ALL OF A SUDDEN, WE NOW HAVE A RESEARCH EFFORT WHERE WE'RE NOW TRYING TO GET TO A 109 00:14:28,434 --> 00:14:34,840 THOUSAND LANGUAGES. >> THERE IS AN ASPECT OF THIS WHICH WE CALL -- ALL OF US IN THE FIELD CALL IT AS A BLACK 110 00:14:34,907 --> 00:14:37,243 BOX. YOU KNOW, YOU DON'T FULLY UNDERSTAND, AND YOU CAN'T QUITE TELL US WHY IT SAID THIS OR WHY 111 00:14:37,309 --> 00:14:40,212 IT GOT IT WRONG. WE HAVE SOME IDEAS, AND OUR ABILITY TO UNDERSTAND THIS GETS BETTER OVER TIME. 112 00:14:40,279 --> 00:14:43,015 BUT THAT'S WHERE THE STATE OF THE ART IS. >> YOU DON'T FULLY UNDERSTAND HOW IT WORKS. 113 00:14:43,082 --> 00:14:47,152 AND, YET, YOU'VE TURNED IT LOOSE ON SOCIETY? >> YEAH. LET ME PUT IT THIS WAY. 114 00:14:47,219 --> 00:14:54,460 I DON'T THINK WE FULLY UNDERSTAND HOW A HUMAN MIND WORKS EITHER. >> WAS IT FROM THAT BLACK BOX, 115 00:14:54,526 --> 00:15:03,302 WE WONDERED, THAT BARD DREW ITS SHORT STORY THAT SEEMED SO DISARMINGLY HUMAN? IT TALKED ABOUT THE PAIN THAT 116 00:15:03,369 --> 00:15:11,877 HUMANS FEEL. IT TALKED ABOUT REDEMPTION. HOW DID IT DO ALL OF THOSE THINGS IF IT'S JUST TRYING TO 117 00:15:11,944 --> 00:15:16,382 FIGURE OUT WHAT THE NEXT RIGHT WORD IS? >> I HAVE HAD THESE EXPERIENCES TALKING WITH BARD AS WELL. 118 00:15:16,448 --> 00:15:28,861 THERE ARE TWO VIEWS OF THIS. YOU KNOW, THERE ARE A SET OF PEOPLE WHO VIEW THIS AS, LOOK, THESE ARE JUST ALGORITHMS. 119 00:15:28,927 --> 00:15:35,000 THEY'RE JUST REPEATING WHAT IT'S SEEN ONLINE. THEN THERE IS THE VIEW WHERE THESE ALGORITHMS ARE SHOWING 120 00:15:35,067 --> 00:15:44,343 EMERGENT PROPERTIES, TO BE CREATIVE, TO REASON, TO PLAN, AND SO ON, RIGHT? AND PERSONALLY, I THINK WE NEED 121 00:15:44,410 --> 00:15:51,116 TO BE -- WE NEED TO APPROACH THIS WITH HUMILITY. PART OF THE REASON I THINK IT'S GOOD THAT SOME OF THESE 122 00:15:51,183 --> 00:15:58,390 TECHNOLOGIES ARE GETTING OUT IS SO THAT SOCIETY, YOU KNOW, PEOPLE LIKE YOU AND OTHERS CAN PROCESS WHAT'S HAPPENING. 123 00:15:58,457 --> 00:16:04,063 AND WE BEGIN THIS CONVERSATION AND DEBATE. AND I THINK IT'S IMPORTANT TO DO THAT. 124 00:16:04,129 --> 00:16:17,776 >>> WHEN WE COME BACK, WE'LL TAKE YOU INSIDE GOOGLE'S ARTIFICIAL INTELLIGENCE LABS WHERE ROBOTS ARE LEARNING. 125 00:16:17,843 --> 00:16:27,619 >>> THE REVOLUTION IN ARTIFICIAL INTELLIGENCE IS THE CENTER OF A DEBATE RANGING FROM THOSE WHO HOPE IT WILL SAVE HUMANITY TO 126 00:16:27,686 --> 00:16:41,967 THOSE WHO PREDICT DOOM. GOOGLE LIES SOMEWHERE IN THE OPTIMISTIC MIDDLE, INTRODUCING AI IN STEPS SO THAT CIVILIZATION 127 00:16:42,034 --> 00:16:49,641 CAN GET USED TO IT. WE SAW WHAT'S COMING NEXT IN MACHINE LEARNING AT GOOGLE'S AI LAB IN LONDON. 128 00:16:49,708 --> 00:16:55,013 A COMPANY CALLED DEEPMIND, WHERE THE FUTURE LOOKS SOMETHING LIKE THIS. LOOK AT THAT! 129 00:16:55,080 --> 00:17:03,155 OH, MY GOODNESS. >> THEY'VE GOT A PRETTY GOOD KICK ON THEM. >> A GOOD GAME. 130 00:17:03,222 --> 00:17:11,163 >> A SOCCER MATCH AT DEEPMIND LOOKS LIKE FUN AND GAMES, BUT HERE'S THE THING. HUMANS DID NOT PROGRAM THESE 131 00:17:11,230 --> 00:17:16,268 ROBOTS TO PLAY. THEY LEARNED THE GAME BY THEMSELVES. >> IT'S COMING UP WITH THESE 132 00:17:16,335 --> 00:17:23,342 INTERESTING DIFFERENT STRATEGIES, DIFFERENT WAYS TO WALK, DIFFERENT WAYS TO BLOCK. >> AND THEY'RE DOING IT. 133 00:17:23,409 --> 00:17:28,547 THEY'RE SCORING OVER AND OVER AGAIN. >> THIS ROBOT HERE -- >> RAIA HADSELL, VICE PRESIDENT 134 00:17:28,614 --> 00:17:34,453 OF RESEARCH AND ROBOTICS, SHOWED US HOW ENGINEERS USED MOTION CAPTURE TECHNOLOGY TO TEACH THE AI PROGRAM HOW TO MOVE LIKE A 135 00:17:34,520 --> 00:17:45,731 HUMAN. BUT ON THE SOCCER PITCH, THE ROBOTS WERE TOLD ONLY THAT THE OBJECT WAS TO SCORE. 136 00:17:45,798 --> 00:17:53,338 THE SELF-LEARNING PROGRAM SPENT ABOUT TWO WEEKS TESTING DIFFERENT MOVES. IT DISCARDED THOSE THAT DIDN'T 137 00:17:53,405 --> 00:18:00,245 WORK, BUILT ON THOSE THAT DID, AND CREATED ALL-STARS. THERE'S ANOTHER GOAL! AND WITH PRACTICE, THEY GET 138 00:18:00,312 --> 00:18:08,020 BETTER. HADSELL TOLD US THAT, INDEPENDENT FROM THE ROBOTS, THE AI PROGRAM PLAYS THOUSANDS OF 139 00:18:08,086 --> 00:18:16,361 GAMES FROM WHICH IT LEARNS AND INVENTS ITS OWN TACTICS. >> HERE WE THINK THAT RED PLAYER'S GOING TO GRAB IT. 140 00:18:16,428 --> 00:18:23,502 BUT INSTEAD IT JUST STOPS IT, HANDS IT BACK, PASSES IT BACK, AND THEN GOES FOR THE GOAL. >> AND THE AI FIGURED OUT HOW TO 141 00:18:23,569 --> 00:18:27,272 DO THAT ON ITS OWN? >> THAT'S RIGHT. THAT'S RIGHT. AND IT TAKES A WHILE. 142 00:18:27,339 --> 00:18:32,311 AT FIRST ALL THE PLAYERS JUST RUN AFTER THE BALL TOGETHER LIKE A GAGGLE OF, YOU KNOW, 6-YEAR-OLDS THE FIRST TIME 143 00:18:32,377 --> 00:18:41,854 THEY'RE PLAYING BALL. OVER TIME WHAT WE START TO SEE IS NOW -- AH, WHAT'S THE STRATEGY? 144 00:18:41,920 --> 00:18:45,824 YOU GO AFTER THE BALL. I'M COMING AROUND THIS WAY. OR SHOULD WE PASS, OR I SHOULD BLOCK WHILE YOU GET THE GOAL?" 145 00:18:45,891 --> 00:18:54,666 SO, WE SEE ALL OF THAT COORDINATION EMERGING IN THE PLAY. >> THIS IS A LOT OF FUN. 146 00:18:54,733 --> 00:18:59,872 BUT WHAT ARE THE PRACTICAL IMPLICATIONS OF WHAT WE'RE SEEING HERE? >> THIS IS TH TYPE OF RESEARCH 147 00:18:59,938 --> 00:19:12,951 THAT CAN EVENTUALLY LEAD TO ROBOTS THAT CAN COME OUT OF THE FACTORIES AND WORK IN OTHER TYPES OF HUMAN ENVIRONMENTS. 148 00:19:13,018 --> 00:19:17,122 YOU KNOW, THINK ABOUT MINING, THINK ABOUT DANGEROUS CONSTRUCTION WORK OR EXPLORATION OR DISASTER RECOVERY. 149 00:19:17,189 --> 00:19:23,362 >> RAIA HADSELL IS AMONG 1,000 HUMANS AT DEEPMIND. THE COMPANY WAS CO-FOUNDED JUST 12 YEARS AGO BY 150 00:19:23,428 --> 00:19:29,635 CEO DEMIS HASSABIS. >> SO IF I THINK BACK TO 2010 WHEN WE STARTED, NOBODY WAS DOING AI. 151 00:19:29,701 --> 00:19:33,472 THERE WAS NOTHING GOING ON IN INDUSTRY. PEOPLE USED TO EYE ROLL WHEN WE TALKED TO THEM, INVESTORS, ABOUT 152 00:19:33,539 --> 00:19:41,213 DOING AI. SO WE COULDN'T, WE COULD BARELY GET TWO CENTS TOGETHER TO START OFF WITH, WHICH IS CRAZY IF YOU 153 00:19:41,280 --> 00:19:47,920 THINK ABOUT NOW THE BILLIONS BEING INVESTED INTO AI STARTUPS. >> CAMBRIDGE, HARVARD, M.I.T., HASSABIS HAS DEGREES IN COMPUTER 154 00:19:47,986 --> 00:20:01,967 SCIENCE AND NEUROSCIENCE. HIS PhD IS IN HUMAN IMAGINATION. AND, IMAGINE THIS, WHEN HE WAS 12, IN HIS AGE GROUP, HE WAS THE 155 00:20:02,034 --> 00:20:08,173 NUMBER TWO CHESS CHAMPION IN THE WORLD. IT WAS THROUGH GAMES THAT HE CAME TO AI. 156 00:20:08,240 --> 00:20:16,048 >> I'VE BEEN WORKING ON AI FOR DECADES NOW, AND I'VE ALWAYS BELIEVED THAT IT'S GOING TO BE THE MOST IMPORTANT INVENTION 157 00:20:16,114 --> 00:20:28,994 THAT HUMANITY WILL EVER MAKE. >> WILL THE PACE OF CHANGE OUTSTRIP OUR ABILITY TO ADAPT? >> I DON'T THINK SO. 158 00:20:29,061 --> 00:20:32,064 I THINK THAT WE, YOU KNOW, WE'RE SORT OF AN INFINITELY ADAPTABLE SPECIES. YOU KNOW, YOU LOOK AT TODAY US 159 00:20:32,130 --> 00:20:35,200 USING ALL OF OUR SMARTPHONES AND OTHER DEVICES, AND WE EFFORTLESSLY SORT OF ADAPT TO THESE NEW TECHNOLOGIES. 160 00:20:35,267 --> 00:20:44,543 AND THIS IS GOING TO BE ANOTHER ONE OF THOSE CHANGES LIKE THAT. >> AMONG THE BIGGEST CHANGES AT DEEPMIND WAS THE DISCOVERY THAT 161 00:20:44,610 --> 00:20:52,351 SELF-LEARNING MACHINES CAN BE CREATIVE. HASSABIS SHOWED US A GAME PLAYING PROGRAM THAT LEARNS. 162 00:20:52,417 --> 00:21:00,692 IT'S CALLED ALPHA ZERO, AND IT DREAMED UP A WINNING CHESS STRATEGY NO HUMAN HAD EVER SEEN. >> BUT THIS IS JUST A MACHINE. 163 00:21:00,759 --> 00:21:12,738 HOW DOES IT ACHIEVE CREATIVITY? >> IT PLAYS AGAINST ITSELF TENS OF MILLIONS OF TIMES. SO, IT CAN EXPLORE PARTS OF 164 00:21:12,804 --> 00:21:15,607 CHESS THAT MAYBE HUMAN CHESS PLAYERS AND PROGRAMMERS WHO PROGRAM CHESS COMPUTERS HAVEN'T THOUGHT ABOUT BEFORE. 165 00:21:15,674 --> 00:21:18,977 >> IT NEVER GETS TIRED. IT NEVER GETS HUNGRY. IT JUST PLAYS CHESS ALL THE TIME. 166 00:21:19,044 --> 00:21:24,182 >> YES. IT'S KIND OF AN AMAZING THING TO SEE, BECAUSE ACTUALLY YOU SET OFF ALPHA ZERO IN THE MORNING 167 00:21:24,249 --> 00:21:29,388 AND IT STARTS OFF PLAYING RANDOMLY. BY LUNCHTIME, YOU KNOW, IT'S ABLE TO BEAT ME AND BEAT MOST 168 00:21:29,454 --> 00:21:33,025 CHESS PLAYERS. AND THEN BY THE EVENING, IT'S STRONGER THAN THE WORLD CHAMPION. 169 00:21:33,091 --> 00:21:41,400 >> DEMIS HASSABIS SOLD DEEPMIND TO GOOGLE IN 2014. ONE REASON WAS TO GET HIS HANDS ON THIS. 170 00:21:41,466 --> 00:21:49,174 GOOGLE HAS THE ENORMOUS COMPUTING POWER THAT AI NEEDS. THIS COMPUTING CENTER IS IN PRYOR, OKLAHOMA. 171 00:21:49,241 --> 00:21:59,084 BUT GOOGLE HAS 23 OF THESE, PUTTING IT NEAR THE TOP IN COMPUTING POWER IN THE WORLD. THIS IS ONE OF TWO ADVANCES THAT 172 00:21:59,151 --> 00:22:13,498 MAKE AI ASCENDANT NOW. FIRST, THE SUM OF ALL HUMAN KNOWLEDGE IS ONLINE AND, SECOND, BRUTE FORCE COMPUTING THAT VERY 173 00:22:13,565 --> 00:22:18,136 LOOSELY APPROXIMATES THE NEURORALE NETWORKS AND TALENTS OF THE BRAIN. >> THINGS LIKE MEMORY, 174 00:22:18,203 --> 00:22:23,208 IMAGINATION, PLANNING, REINFORCEMENT LEARNING, THESE ARE ALL THINGS THAT ARE KNOWN ABOUT HOW THE BRAIN DOES IT, AND 175 00:22:23,275 --> 00:22:29,114 WE WANTED TO REPLICATE SOME OF THAT IN OUR AI SYSTEMS. >> YOU PREDICT ONE OF THOSE -- >> THOSE ARE SOME OF THE 176 00:22:29,181 --> 00:22:38,557 ELEMENTS THAT LED TO DEEPMIND'S GREAT ES ACHIEVEMENT SO FAR, SOLVING AN IMPOSSIBLE PROBLEM IN BIOLOGY. 177 00:22:38,623 --> 00:22:47,532 PROTEINS ARE BUILDING BLOCKS OF LIFE. BUT ONLY A TINY FRACTION WERE UNDERSTOOD BECAUSE 3D MAPPING OF 178 00:22:47,599 --> 00:22:53,238 JUST ONE COULD TAKE YEARS. DEEPMIND CREATED AN AI PROGRAM FOR THE PROTEIN PROBLEM AND SET IT LOOSE. 179 00:22:53,305 --> 00:22:59,711 >> WELL, IT TOOK US ABOUT FOUR OR FIVE YEARS TO FIGURE OUT HOW TO BUILD THE SYSTEM. IT'S PROBABLY THE MOST COMPLEX 180 00:22:59,778 --> 00:23:05,484 PROJECT THAT WE'VE EVER UNDERTAKEN. BUT ONCE WE DID THAT, IT CAN SOLVE A PROTEIN STRUCTURE IN A 181 00:23:05,550 --> 00:23:08,553 MATTER OF SECONDS. AND, ACTUALLY, OVER THE LAST YEAR, WE DID ALL THE 200 MILLION PROTEINS THAT ARE KNOWN TO 182 00:23:08,620 --> 00:23:14,126 SCIENCE. >> HOW LONG WOULD IT HAVE TAKEN USING TRADITIONAL METHODS? >> WELL, THE RULE OF THUMB I WAS 183 00:23:14,192 --> 00:23:19,965 ALWAYS TOLD BY MY BIOLOGIST FRIENDS IS THAT IT TAKES A WHOLE PhD, FIVE YEARS, TO DO ONE PROTEIN STRUCTURE 184 00:23:20,031 --> 00:23:25,604 EXPERIMENTALLY. SO, IF YOU THINK 200 MILLION TIMES FIVE, THAT'S A BILLION YEARS OF PhD TIME IT WOULD HAVE 185 00:23:25,670 --> 00:23:38,083 TAKEN. >> DEEPMIND MADE ITS PROTEIN DATABASE PUBLIC. A GIFT TO HUMANITY, HASSABIS 186 00:23:38,150 --> 00:23:41,086 CALLED IT. HOW HAS IT BEEN USED? >> IT'S BEEN USED IN AN ENORMOUSLY BROAD NUMBER OF WAYS 187 00:23:41,153 --> 00:23:47,859 ACTUALLY FROM MALARIA VACCINES TO DEVELOPING NEW ENZYMES THAT CAN EAT PLASTIC WASTE TO NEW ANTIBIOTICS. 188 00:23:47,926 --> 00:23:57,769 >> MOST AI SYSTEMS TODAY DO ONE OR MAYBE TWO THINGS WELL. THE SOCCER ROBOTS, FOR EXAMPLE, CAN'T WRITE UP A GROCERY LIST OR 189 00:23:57,836 --> 00:24:11,016 BOOK YOUR TRAVEL OR DRIVE YOUR CAR. THE ULTIMATE GOAL IS WHAT'S CALLED ARTIFICIAL GENERAL 190 00:24:11,082 --> 00:24:17,622 INTELLIGENCE, A LEARNING MACHINE THAT CAN SCORE ON A WIDE RANGE OF TALENTS. WOULD SUCH A MACHINE BE 191 00:24:17,689 --> 00:24:20,225 CONSCIOUS OF ITSELF? >> SO THAT'S ANOTHER GREAT QUESTION. WE -- YOU KNOW, PHILOSOPHERS 192 00:24:20,292 --> 00:24:25,463 HAVEN'T REALLY SETTLED ON A DEFINITION OF CONSCIOUSNESS YET, BUT IF WE MEAN BY SORT OF SELF-AWARENESS AND THESE KINDS 193 00:24:25,530 --> 00:24:29,601 OF THINGS, YOU KNOW, I THINK THERE'S A POSSIBILITY AI ONE DAY COULD BE. I DEFINITELY DON'T THINK THEY 194 00:24:29,668 --> 00:24:34,840 ARE TODAY. BUT I THINK, AGAIN, THIS IS ONE OF THE FASCINATING SCIENTIFIC THINGS WE'RE GOING TO FIND OUT 195 00:24:34,906 --> 00:24:47,285 ON THIS JOURNEY TOWARDS AI. >> EVEN UNCONSCIOUS, CURRENT AI IS SUPERHUMAN IN NARROW WAYS. BACK IN CALIFORNIA, WE SAW 196 00:24:47,352 --> 00:24:53,725 GOOGLE ENGINEERS TEACHING SKILLS THAT ROBOTS WILL PRACTICE CONTINUOUSLY ON THEIR OWN. >> PUSH THE BLUE CUBE TO THE 197 00:24:53,792 --> 00:24:58,630 BLUE TRIANGLE. >> THEY COMPREHEND INSTRUCTIONS. > PUSH THE YELLOW HEXAGON TO 198 00:24:58,697 --> 00:25:06,004 THE YELLOW HEART. >> AND LEARN TO RECOGNIZE OBJECTS. >> WHAT WOULD YOU LIKE? 199 00:25:06,071 --> 00:25:11,543 >> HOW ABOUT AN APPLE? >> HOW ABOUT AN APPLE. >> ON MY WAY, I WILL BRING AN APPLE TO YOU. 200 00:25:11,610 --> 00:25:19,718 >> VINCENT VANHOUCKE, SENIOR DIRECTOR OF ROBOTICS, SHOWED US HOW ROBOT 106 WAS TRAINED ON MILLIONS OF IMAGES. 201 00:25:19,784 --> 00:25:27,225 >> I AM GOING TO PICK UP THE APPLE. >> AND CAN RECOGNIZE ALL THE ITEMS ON A CROWDED COUNTERTOP. 202 00:25:27,292 --> 00:25:33,665 >> IF WE CAN GIVE THE ROBOT A DIVERSITY OF EXPERIENCES, A LOT MORE DIFFERENT OBJECTS IN DIFFERENT SETTINGS, THE ROBOT 203 00:25:33,732 --> 00:25:41,706 GETS BETTER AT EVERY ONE OF THEM. >> NOW THAT HUMANS HAVE PULLED THE FORBIDDEN FRUIT OF 204 00:25:41,773 --> 00:25:48,546 ARTIFICIAL KNOWLEDGE -- >> THANK YOU. -- WE START THE GENESIS OF A NEW HUMANITY. 205 00:25:48,613 --> 00:25:57,889 AI CAN UTILIZE ALL THE INFORMATION IN THE WORLD, WHAT NO HUMAN COULD EVER HOLD IN THEIR HEAD. 206 00:25:57,956 --> 00:26:10,969 AND I WONDER IF HUMANITY IS DIMINISHED BY THIS ENORMOUS CAPABILITY THAT WE'RE DEVELOPING. 207 00:26:11,036 --> 00:26:16,708 >> I THINK THE POSSIBILITIES OF AI DO NOT DIMINISH HUMANITY IN ANY WAY. AND, IN FACT, IN SOME WAYS, I 208 00:26:16,775 --> 00:26:21,413 THINK THEY ACTUALLY RAISE US TO EVEN DEEPER, MORE PROFOUND QUESTIONS. >> GOOGLE'S JAMES MANYIKA SEES 209 00:26:21,479 --> 00:26:28,186 THIS MOMENT AS AN INFLEXION POINT. >> I THINK WE'RE CONSTANTLY ADDING THESE SUPERPOWERS OR 210 00:26:28,253 --> 00:26:34,426 CAPABILITIES TO WHAT HUMANS CAN DO IN A WAY THAT EXPANDS POSSIBILITIES, AS OPPOSED TO NARROW THEM, I THINK. 211 00:26:34,492 --> 00:26:40,231 SO I DON'T THINK OF IT AS DIMINISHING HUMANS, BUT IT DOES RAISE SOME REALLY PROFOUND QUESTIONS FOR US. 212 00:26:40,298 --> 00:26:45,904 WHO ARE WE? WHAT DO WE VALUE? WHAT ARE WE GOOD AT? HOW DO WE RELATE WITH EACH 213 00:26:45,971 --> 00:26:54,012 OTHER? THOSE BECOME VERY, VERY IMPORTANT QUESTIONS THAT ARE CONSTANTLY GOING TO BE, IN ONE 214 00:26:54,079 --> 00:27:04,089 CASE, SENSE-EXCITING, BUT PERHAPS UNSETTLING TOO. >> IT IS AN UNSETTLING MOMENT. CRITICS ARGUE THE RUSH TO AI 215 00:27:04,155 --> 00:27:11,529 COMES TOO FAST, WHILE COMPETITIVE PRESSURE AMONG GIANTS LIKE GOOGLE AND STARTUPS YOU'VE NEVER HEARD OF IS 216 00:27:11,596 --> 00:27:19,437 PROPELLING HUMANITY INTO THE FUTURE, READY OR NOT. >> BUT I THINK IF WE TAKE A TEN-YEAR OUTLOOK, IT IS SO CLEAR 217 00:27:19,504 --> 00:27:27,879 TO ME, WE WILL HAVE SOME FORM OF VERY CAPABLE INTELLIGENCE THAT CAN DO AMAZING THINGS. AND WE NEED TO ADAPT AS A 218 00:27:27,946 --> 00:27:39,224 SOCIETY FOR IT. >> GOOGLE CEO SUNDAR PICHAI TOLD US SOCIETY MUST QUICKLY ADAPT WITH REGULATIONS FOR AI IN THE 219 00:27:39,290 --> 00:27:47,165 ECONOMY, LAWS TO PUNISH ABUSE, AND TREATIES AMONG NATIONS TO MAKE AI SAFE FOR THE WORLD. >> YOU KNOW, THESE ARE DEEP 220 00:27:47,232 --> 00:27:54,973 QUESTIONS. AND, YOU KNOW, WE CALL THIS ALIGNMENT. YOU KNOW, ONE WAY WE THINK ABOUT 221 00:27:55,040 --> 00:28:03,281 HOW DO YOU DEVELOP AI SYSTEMS THAT ARE ALIGNED TO HUMAN VALUES AND INCLUDING MORALITY? THIS IS WHY I THINK THE 222 00:28:03,348 --> 00:28:11,890 DEVELOPMENT OF THIS NEEDS TO INCLUDE NOT JUST ENGINEERS BUT SOCIAL SCIENTISTS, ETHICISTS, PHILOSOPHERS, AND SO ON. 223 00:28:11,956 --> 00:28:19,697 AND I THINK WE HAVE TO BE VERY THOUGHTFUL. AND I THINK THESE ARE ALL THINGS SOCIETY NEEDS TO FIGURE OUT AS 224 00:28:19,764 --> 00:28:25,937 WE MOVE ALONG. IT'S NOT FOR A COMPANY TO DECIDE. >> WE'LL END WITH A NOTE THAT 225 00:28:26,004 --> 00:28:32,710 HAS NEVER APPEARED ON "60 MINUTES" BUT ONE, IN THE AI REVOLUTION, YOU MAY BE HEARING OFTEN. 226 00:28:32,777 --> 00:28:42,353 THE PRECEDING WAS CREATED WITH 100% HUMAN CONTENT. 227 00:28:49,227 --> 00:28:57,068 >>> IT'S NO SECRET BIG HOLLYWOOD STUDIOS LIKE A SURE BET. AND THERE'S NO SHORTAGE OF PREDICTABLE MOVIES TO PROVE IT. 228 00:28:57,135 --> 00:29:07,345 WHICH IS PROBABLY WHY NICHOLAS CAGE LEFT LOS ANGELES FOR LAS VEGAS A LONG TIME AGO. AT 59, THE ACAD MU AWARD WINNER 229 00:29:07,412 --> 00:29:12,851 OWNS ONE OF THE MOST ECLECTIC LIST OF FILM CREDITS IN THE BUSINESS. HE'S BEEN AT IT FOR MORE THAN 40 230 00:29:12,917 --> 00:29:18,289 YEARS. PRIVETING FROM LEADING MAN, TO ACTION HERO TO A SLEW OF LESSER FEATURES AND BACK AGAIN. 231 00:29:18,356 --> 00:29:26,164 AS WE FIRST TOLD YOU IN APRIL, BEHIND THAT KALEIDOSCOPE OF CHARACTERS IS A UNIQUE IMAGINATION AND AN ENPSYCH 232 00:29:26,231 --> 00:29:37,942 LOWPEDIC KNOWLEDGE OF FILM THAT SEEMS TO MOTIVATE EVERYTHING NICHOLAS CAGE DOES, HIS WORK, HIS LIFE AND EVEN THIS. 233 00:29:38,009 --> 00:29:41,613 >> I ALWAYS LOVED THAT CHARACTER. >> CAGE'S BRAND-NEW GOLD LAMBORGHINI A TRIBUTE TO A 234 00:29:41,679 --> 00:29:49,420 BELOVED 1968 FILM DIRECTED BY FEDERICO FELLINI, FEATURING THE GILDED FERRARI. >> IT WAS A CRAZY BEAUTIFUL 235 00:29:49,487 --> 00:29:55,293 FELLINI MOVIE AND IT INSPIRED ME. SO WHEN I SAW THIS, I SAID, THAT'S THE CAR, IT'S NOT A 236 00:29:55,360 --> 00:29:59,831 FERRARI, WHICH WOULD BE GREAT. BUT THEY DON'T REALLY HAVE GOLD FERRARIS. >> HAVE YOU DRIVEN THIS OUT HERE 237 00:29:59,898 --> 00:30:11,242 BEYOND THE GATES? >> OH, YEAH. >> YEAH? >> IT'S FUN. 238 00:30:11,309 --> 00:30:22,253 >> IT'S FUN. >> SNAP, CRACKLE, POP, RIGHT? >> BY ANY MEASURE, NICOLAS CAGE IS NOT SLOWING DOWN. 239 00:30:22,320 --> 00:30:31,863 HE'S REVAMPED THE ROLE OF DRACULA IN A MOVIE CALLED "RENFIELD" AND HAS ANOTHER FIVE MOVIES COMING UP. 240 00:30:31,930 --> 00:30:39,103 WE MET NICOLAS CAGE AT THE HOME HE SHARES WITH HIS WIFE AND YOUNG DAUGHTER IN LAS VEGAS. IT IS EXACTLY WHAT YOU MIGHT 241 00:30:39,170 --> 00:30:45,276 IMAGINE NICOLAS CAGE'S HOME IN LAS VEGAS WOULD BE, PART GOTH CATHEDRAL, PART AVANT-GARDE GALLERY. 242 00:30:45,343 --> 00:30:51,416 THERE'S AN AFRICAN CROW IN THE LIVING ROOM. A CAT THAT COULD SCARE OFF A BURGLAR AND THIS. 243 00:30:51,482 --> 00:30:56,621 >> THIS IS MY BLACK DRAGON, IT'S A MONITOR LIZARD. HE'LL GET TO BE LIKE SIX FEET LONG. 244 00:30:56,688 --> 00:31:04,162 IT'S LIKE HAVING A REAL DINOSAUR IN YOUR HOUSE. IT'S KIND OF AMAZING. AND HE'S ALIVE. 245 00:31:04,229 --> 00:31:10,735 >> THAT KIND OF IMAGINATION IS IN HIS DNA. NICOLAS KIM COPPOLA WAS BORN ON THE FRINGE OF CINEMA ROYALTY. 246 00:31:10,802 --> 00:31:15,940 HIS UNCLE IS DIRECTOR FRANCIS FORD COPPOLA. HIS TOLD HIS MOTHER JOY, A CHOREOGRAPHER, SUFFERED FROM 247 00:31:16,007 --> 00:31:22,680 SEVERE MENTAL ILLNESS AND WAS INSTITUTIONALIZED FOR MUCH OF HIS CHILDHOOD. HE AND HIS TWO BROTHERS WERE 248 00:31:22,747 --> 00:31:28,386 RAISED BY HIS FATHER, AUGUST, A LITERATURE PROFESSOR. WHO INTRODUCED HIM TO THE MASTER WORKS OF ITALIAN AND GERMAN 249 00:31:28,453 --> 00:31:39,430 FILMMAKERS. IGNITING HIS LOVE OF CINEMA. AS A TEENAGER, HE WORKED AT A MOVIE THEATER AND SAYS HE WAS 250 00:31:39,497 --> 00:31:45,036 MESMERIZED BY THE BIG SCREEN. WAS IT ABOUT BEING A MOVIE STAR OR WAS IT ABOUT ESCAPING INTO SOMETHING ELSE? 251 00:31:45,103 --> 00:31:51,943 >> NO. IT WAS ABOUT WANTING TO BE JAMES DEAN IN "REBEL WITHOUT A CAUSE" AND WEARING THAT RED JACKET. 252 00:31:52,010 --> 00:31:54,279 WANTING TO BE JOHN IN "SATURDAY NIGHT FEVER." I CAME OUT OF THE CINEMA ELECTRIFIED. 253 00:31:54,345 --> 00:32:03,221 YEAH, I WANTED TO GO THERE. >> AND AFTER SEEING JAMES DEAN IN "EAST OF EDEN," HE DID. >> IT WAS MORE MEANINGFUL TO ME 254 00:32:03,288 --> 00:32:14,132 THAN ANYTHING ELSE I'D EXPERIENCED. MUSIC, YOU KNOW, BEETHOVEN, BEATLES, PAINTING. 255 00:32:14,198 --> 00:32:21,406 WHAT I SAW IN THAT MOMENT MADE ME REALIZE THE POWER, THE EXCITEMENT, OF WHAT YOU CAN CONVEY THROUGH FILM PERFORMANCE, 256 00:32:21,472 --> 00:32:29,747 FILM PERFORMANCE. >> HE'S BEEN IN PURSUIT OF THAT FEELING FOR MOST OF HIS LIFE. INHABITING CHARACTERS OF EVERY 257 00:32:29,814 --> 00:32:38,056 STRIPE, A BABY-SNATCHING EX-CON. >> I'LL BE TAKING THESE HUGGIES AND WHATEVER CASH YOU GOT. >> A BROOKLYN BAKER. 258 00:32:38,122 --> 00:32:43,828 AN ALCOHOLIC SCREEN WRITER. >> DO YOU HAVE A CELL PHONE I CAN BORROW? >> A TREASURE HUNTER AND EVEN 259 00:32:43,895 --> 00:32:49,033 HIMSELF. >> NIC CAGE. >> CAGE'S FIRST FEATURE ROLE CAME IN 1982'S "FAST TIMES AT 260 00:32:49,100 --> 00:32:56,307 RIDGEMONT HIGH" THE 17-YEAR-OLD BLENDS INTO THE BACKGROUND BUT HIS COPPOLA NAME DID NOT. HIS UNCLE DIRECTED THE GODFATHER 261 00:32:56,374 --> 00:33:05,783 AND APOCALYPSE NOW, SICK OF BEING HAZED ABOUT IT ON SET, HE CHANGED HIS NAME INSPIRED BY A MARVEL SUPERHERO WITH 262 00:33:05,850 --> 00:33:14,359 UNBREAKABLE SKIN. >> WHEN PEOPLE THINK OF NICOLAS CAGE, I WANTED TO HAVE A PUNK ROCK ENERGY AT THAT TIME. 263 00:33:14,425 --> 00:33:19,530 I WANTED IT TO BE UNPREDICTABLE. YOU DON'T KNOW WHAT YOU'RE GOING TO GET. I WANTED TO BE EXCITING AND A 264 00:33:19,597 --> 00:33:26,637 LITTLE SCARY. >> IT HAS BEEN. AFTER MORE THAN 100 MOVIES, NICOLAS CAGE IS ALMOST HIS OWN 265 00:33:26,704 --> 00:33:33,945 GENRE. HE TOLD US WHEN HE READ THE SCRIPT FOR "PEGGY SUE GOT MARRIED" HE WORRIED IT WAS GOING 266 00:33:34,011 --> 00:33:40,184 TO BE TOO MUCH LIKE THE PLAY "OUR TOWN" WHICH HE HATED. >> I GREW UP WATCHING GUMBY AND LISTENING TO POKEY, AND I 267 00:33:40,251 --> 00:33:46,958 THOUGHT, WELL THAT WOULD BE A GOOD VOICE FOR A CHARACTER. ESPECIALLY IN THIS MOVIE. >> THANK YOU FOR SAVING ME. 268 00:33:47,024 --> 00:33:52,163 >> SO, I THOUGHT IF I DO THAT, THAT WON'T BE BORING. THAT WILL BE LIKE, WHAT THE HELL IS HE DOING? 269 00:33:52,230 --> 00:33:57,368 >> THINGS JUST WORK OUT BETTER IN THE END. >> AND KATHLEEN TURNER SAID LIKE "WHAT THE HELL IS HE DOING?" 270 00:33:57,435 --> 00:34:01,539 >> I THINK I FRUSTRATED HER WITH THE PERFORMANCE BUT I ADORED HER. >> DID SHE EVER SAY LIKE KNOCK 271 00:34:01,606 --> 00:34:07,812 IT OFF? >> OH, YEAH. >> BUT CAGE WOULD DRAW FROM ODD PLACES AGAIN IN THE COEN 272 00:34:07,879 --> 00:34:18,756 BROTHERS' "RAISING ARIZONA." HOW DID YOU ENVISION THAT ROLE? >> H.I. McDUNNOUGH WAS LIKE THAT THRUSH MUFFLER SYMBOL, THE WOODY 273 00:34:18,823 --> 00:34:27,532 WOODPECKER WITH A CIGAR. I SAW HIM WITH THE RED HAIR STICKING UP, LIKE A LOONEY TUNES CHARACTER COME TO LIFE. 274 00:34:27,598 --> 00:34:34,672 AGAIN. >> I WANT TO ASK YOU ABOUT ONE SCENE IN THAT MOVIE, YOU'RE HAVING YOUR MUG SHOT TAKEN. 275 00:34:34,739 --> 00:34:42,780 AND AS YOU TURN, YOU'RE WALKING AWAY AND YOU SLAP YOUR ASS. >> LET ME KNOW HOW THIS COME OUT. 276 00:34:42,847 --> 00:34:48,953 >> I HAD IT ALL THOUGHT OUT, GIDDYAP, YOU KNOW, LIKE GETTING HIMSELF UP OUT OF THE MUG SHOT. >> CAGE'S CATALOG OF INSPIRATION 277 00:34:49,020 --> 00:34:56,727 EXTENDS FROM CARTOONS TO THE HAUNTING GERMAN FILMS HE WATCHED AS A CHILD. YOU'VE BEEN INFLUENCED BY GERMAN 278 00:34:56,794 --> 00:34:59,397 EXPRESSIONISTS EXPRESSIONISTS. WHAT DOES THAT LOOK LIKE? >> WELL, WHAT IT IS 279 00:34:59,464 --> 00:35:06,571 SPECIFICALLY, MOVIES LIKE CABINET OF DR. CALIGARI, OR NOSFERATU OR METROPOLIS. THE MAD SCIENTIST SHOWS THE 280 00:35:06,637 --> 00:35:11,442 ROBOT HAND. AND GOES YOU KNOW, I LOST MY HAND. AND HE GOES LIKE THAT. 281 00:35:11,509 --> 00:35:15,947 IT'S LARGE, EXPRESSIONISTIC ACTING. SO I PUT THAT INTO "MOONSTRUCK", I LOST MY HAND. 282 00:35:16,013 --> 00:35:26,424 THAT'S EXACTLY A DIRECT STEAL. >> I LOST MY HAND. I LOST MY BRIDE. JOHNNY HAS HIS HAND. 283 00:35:26,491 --> 00:35:32,063 JOHNNY HAS HIS BRIDE. YOU WANT ME TO TAKE MY HEARTBREAK AND PUT IT AWAY AND FORGET? 284 00:35:32,129 --> 00:35:39,337 >> COME ON. >> 35 YEARS ON, RONNY CAMMARERI, THE OPERATIC, ONE-HANDED BAKER IN THE ROMANTIC COMEDY 285 00:35:39,403 --> 00:35:44,942 "MOONSTRUCK" REMAINS ONE OF THE MOST MEMORABLE ROLES. >> YOU REQUEST DO THIS ONE THING FOR ME. 286 00:35:45,009 --> 00:35:51,315 >> Reporter: BUT CAGE SAYS IT WAS A SMALL MOVIE CALLED "LEAVING LAS VEGAS" THAT WAS THE ANSWER TO HIS PRAYERS. 287 00:35:51,382 --> 00:36:12,803 WHAT DID YOU THINK WHEN YOU FIRST READ THAT SCRIPT? 288 00:36:37,161 --> 00:36:45,636 KEEPS ME IN BALANCE. BUT THAT WON'T LAST FOREVER. >> I WAS SAYING TO MYSELF, LITERALLY I'M NEVER GOING TO WIN 289 00:36:45,703 --> 00:36:52,276 THE THE ACADEMY AWARD SO LET'S JUST DO THIS ANY WAY BECAUSE NOBODY WANTED TO MAKE IT. >> AT THE OSCARS, YOU ANNOUNCED 290 00:36:52,343 --> 00:36:56,948 ON STAGE YOU LOVE THE IDEA OF BLURRING THE LINE BETWEEN ART AND COMMERCE BY MAKING THIS SMALL FILM. 291 00:36:57,014 --> 00:37:02,720 AND THEN YOU START DOING THESE BIG ACTION FILMS. >> YEAH, THAT WAS ABOUT STAYING UNPREDICTABLE AND TRYING 292 00:37:02,787 --> 00:37:10,528 SOMETHING NEW AGAIN. BUT AT THE TIME WHEN I DID IT I THINK IT PISSED A LOT OF PEOPLE OFF. 293 00:37:10,595 --> 00:37:16,267 YOU KNOW, IT WAS LIKE -- WELL, THAT'S YOU'RE AN ACTOR'S ACTOR. YOU'RE NOT SUPPOSED TO BE DOING ADVENTURE FILMS. 294 00:37:16,334 --> 00:37:22,173 >> BUT HE DID, THE ROCK, WITH SEAN CONNERY, A PRISON BREAK MOVIE, CON AIR. >> PUT THE MONEY BACK IN THE 295 00:37:22,239 --> 00:37:29,814 BOX. >> THE NATIONAL TREASURE FRANCHISE, AND FACE-OFF, WHERE CAGE'S CHARACTER LITERALLY SWAPS 296 00:37:29,880 --> 00:37:38,623 FACES WITH JOHN TRAVOLTA. AN ABSURD IDEA THAT DELIVERED BIG BOX OFFICE RETURNS AND HELPED CATAPULT CAGE INTO THE 297 00:37:38,689 --> 00:37:45,329 CATEGORY OF HOLLYWOOD'S HIGHEST PAID ACTORS. WHERE'S YOUR HEAD AT WHEN THAT STARTS HAPPENING? 298 00:37:45,396 --> 00:37:50,968 >> OH, GREAT, NOW I CAN MAKE ANOTHER "LEAVING LAS VEGAS." LET'S KEEP DOING IT. LET'S KEEP MIXING IT UP. 299 00:37:51,035 --> 00:37:55,072 LET'S KEEP CHALLENGING OURSELVES. >> BUT CAGE ENDED UP FACING A DIFFERENT KIND OF CHALLENGE. 300 00:37:55,139 --> 00:38:05,483 WE WANTED TO ASK HIM ABOUT REPORTS THAT HE BLEW THROUGH HIS FORTUNE, BUYING EXOTIC CARS, MANSIONS AROUND THE GLOBE, EVEN 301 00:38:05,549 --> 00:38:13,090 A DINOSAUR SKULL, BUT HIS AFRICAN CROW HUGINN, OBJECTED TO THE LINE OF QUESTIONING. >> HI, HUGINN. 302 00:38:13,157 --> 00:38:15,393 >> RIGHT ON CUE. >> NICE TO HEAR YOU'RE TALKING AGAIN. I KNOW EVERYONE IN THE HOUSE 303 00:38:15,459 --> 00:38:22,633 KIND OF FREAKED YOU OUT. >> THE HOUSES RIGHT, CASTLES IN GERMANY, IN ENGLAND, AN ISLAND, A MANSION IN NEW ORLEANS. 304 00:38:22,700 --> 00:38:25,036 >> RIGHT. >> WHAT'S THAT ABOUT? >> I WAS OVER-INVESTED IN REAL ESTATE. 305 00:38:25,102 --> 00:38:32,109 IT WASN'T BECAUSE I SPENT $80 ON AN OCTOPUS. BUT THE REAL ESTATE MARKET CRASHED, AND I COULDN'T GET OUT 306 00:38:32,176 --> 00:38:37,214 IN TIME. >> HOW MUCH MONEY DID YOU END UP OWING TO THE IRS? AND TO YOUR CREDITORS? 307 00:38:37,281 --> 00:38:44,321 >> I PAID THEM ALL BACK. ABOUT $6 MILLION. I NEVER FILED FOR BANKRUPTCY. >> HE MOVED TO TAX-FREE LAS 308 00:38:44,388 --> 00:38:49,326 VEGAS AND DUG IN AND WORKED NONSTOP. MAKING THREE TO FOUR MOVIES A YEAR. 309 00:38:49,393 --> 00:38:54,799 THAT HAS TO BE A DARK PERIOD FOR YOU. >> IT WAS DARK, SURE. >> DID THE WORK HELP? 310 00:38:54,865 --> 00:39:08,312 >> NO DOUBT, WORK, WORK WAS ALWAYS MY GUARDIAN ANGLE. IT MAY NOT HAVE BEEN BLUE CHIP, BUT IT WAS STILL WORK. 311 00:39:08,379 --> 00:39:17,455 >> WHEN SOMEBODY SUGGESTS DURING THAT PERIOD OF TIME -- WHEN THESE CRITICS SAY, HE'S JUST HERE FOR A PAYCHECK AND PHONING 312 00:39:17,521 --> 00:39:19,623 IT IN. >> EVEN IF THE MOVIE ULTIMATELY IS CRUMBY, THEY KNOW I'M NOT PHONING IT IN. 313 00:39:19,690 --> 00:39:25,696 THAT I CARE EVERY TIME. BUT THERE ARE THOSE FOLKS WHO ARE THINKING THAT THE ONLY GOOD ACTING THAT I CAN DO IS THE 314 00:39:25,763 --> 00:39:37,141 ACTING THAT I CHOSE TO DO BY DESIGN WHICH IS MORE OPERATIC AND, YOU KNOW, LARGER THAN LIFE AND SO-CALLED CAGE RAGE AND ALL 315 00:39:37,208 --> 00:39:41,312 THAT. BUT YOU'RE NOT GOING TO GET THAT EVERY TIME. >> BUT PART OF THE APPEAL IS THE 316 00:39:41,378 --> 00:39:52,156 CAGE RAGE, A MONIKER HIS FANS HAVE FOR HIS OUTSIDE, SOME SAY OVER-THE-TOP MOMENTS ON FILM. >> I'M TRYING TO HELP YOU AND 317 00:39:52,223 --> 00:40:00,598 YOU WON'T LISTEN! >> YOU GO FOR IT. I'VE HEARD YOU DESCRIBE IT AS GOING FOR THE TRIPLE AXEL EVERY 318 00:40:00,664 --> 00:40:03,234 TIME. SOMETIMES YOU LAND IT AND SOMETIMES YOU DON'T. >> WELL, NOT EVERY TIME. 319 00:40:03,300 --> 00:40:09,940 BUT THERE ARE THINGS I DO WANT TO GO FOR SOMETIMES THAT I HAVE A VISION FOR, AND I DO. >> LIKE HIS 2021 PERFORMANCE AS 320 00:40:10,007 --> 00:40:16,947 A HEARTBROKEN CHEF IN THE MOVIE "PIG." >> NONE OF IT IS REAL. THE CRITICS AREN'T REAL. 321 00:40:17,014 --> 00:40:36,600 THE CUSTOMERS AREN'T REAL BECAUSE THIS ISN'T REAL. WHEN I PLAYED ROB IN "PIG," I FELT I ENTERED THE ROOM. 322 00:40:36,667 --> 00:40:44,141 I FELT THAT I WAS CLOSER TO ME THAN MAYBE I'VE EVER BEEN BEFORE IN FILM PERFORMANCE. >> WHAT DO YOU MEAN, CLOSER TO 323 00:40:44,208 --> 00:40:52,716 YOU? >> THAT I WASN'T ACTING. I FELT THAT I WAS DOING EXACTLY WHAT I CARE ABOUT. 324 00:40:52,783 --> 00:41:00,090 I THINK IT'S PROBABLY MY BEST MOVIE, AND I THINK I'LL PUT THAT UP AGAINST "LEAVING LAS VEGAS" OR ANYTHING ELSE. 325 00:41:00,157 --> 00:41:05,963 >> THAT WOULD INCLUDE HIS TURN AS DRACULA IN HIS LATEST MOVIE "RENFIELD." CAGE MET US AT A FAVORITE 326 00:41:06,030 --> 00:41:13,938 HANGOUT ON THE STRIP TO TALK ABOUT THE COUNT. >> WE HAVE MUCH TO DISCUSS. >> DRACULA IS DAUNTING BECAUSE 327 00:41:14,004 --> 00:41:27,284 IT'S A LEGACY. DRACULA IS A CHARACTER THAT HAS BEEN DONE WELL MANY TIMES. HE'S ALSO A CHARACTER THAT HAS 328 00:41:27,351 --> 00:41:34,024 BEEN DONE POORLY MANY TIMES. BUT FOR ME, I THINK CHRISTOPHER LEE, HE WAS MY DRACULA. HE MADE DRACULA SCARY. 329 00:41:34,091 --> 00:41:40,264 YOU KNOW, WE HAD A HAPPY MARRIAGE IN TERMS I COULD BRING WHERE I WANTED TO GO, LIKE, INTO THE CAMERA WITH THE TEETH ALMOST 330 00:41:40,331 --> 00:41:51,175 LIKE THE SHARK IN "JAWS." >> YOU SEEM LIKE A GUY WHO IS ALL IN ALL THE TIME. YOU DON'T DO ANYTHING HALFWAY. 331 00:41:51,242 --> 00:41:58,515 >> VERY INSIGHTFUL, SHARYN. VERY, VERY INSIGHTFUL. >> LET'S EAT! 332 00:42:01,619 --> 00:42:10,060 >>> MORE ON TONIGHT'S STORIES, INCLUDING THE EVOLUTION OF GOOGLE'S FOUNDING DON'T BE EVIL MOTTO. 333 00:42:10,127 --> 00:42:22,106 >> IT'S A LOT MORE OF A NUANCED VIEW BUT IT >>> I'M SHARYN ALFONSI. WE'LL BE BACK NEXT WEEK WITH 334 00:42:22,172 --> 00:42:38,022 >>> ONE OF THE MOST IMPORTANT THINGS WE TALK ABOUT EVERYDAY IS FOLLOWING YOUR CURIOSITY. I'M A VERY CURIOUS PERSON. 335 00:42:38,088 --> 00:42:43,193 I WAKE UP EVERY MORNING ASKING WHAT'S HAPPENING IN THE WORLD, WHY IS THIS HAPPENING AND HOW DO WE ANSWER THAT QUESTION. 336 00:42:43,260 --> 00:42:48,399 >> WHY DID YOU WANT TO SHARE YOUR STORY? WATER UP THIS HIGH? >> WHERE ARE THESE COMING FROM? 337 00:42:48,465 --> 00:42:51,869 >> THAT'S THE MILLION DOLLAR QUESTION. >> HOW YOU DOING? >> I'M HANGING IN THERE. 338 00:42:51,936 --> 00:42:59,643 >> I BELIEVE IN THE POWER OF STORY TELLING TO CHANGE LIVES. >> YOU'LL HAVE TO TELL HIM WHEN HE GETS OLDER WHEN YOU WERE 2 339 00:42:59,710 --> 00:43:04,848 MONTHS OLD HE WAS ON THE NEWS. >> THE NEWS DOESN'T ALWAYS HAVE TO BE DEPRESSING. IT CAN BE UPLIFTING. 340 00:43:04,915 --> 00:43:06,850 ♪