1 00:00:01,134 --> 00:00:06,000 [ STOPWATCH TICKING ] >>> ACROSS AMERICA, EVERYONE HAS AN OPINION ON, QUOTE, WOKENESS, NOWHERE MORE THAN ON OUR COLLEGE 2 00:00:06,000 --> 00:00:12,000 [ STOPWATCH TICKING ] >>> ACROSS AMERICA, EVERYONE HAS AN OPINION ON, QUOTE, WOKENESS, NOWHERE MORE THAN ON OUR COLLEGE 3 00:00:12,000 --> 00:00:17,484 [ STOPWATCH TICKING ] >>> ACROSS AMERICA, EVERYONE HAS AN OPINION ON, QUOTE, WOKENESS, NOWHERE MORE THAN ON OUR COLLEGE 4 00:00:17,550 --> 00:00:18,000 CAMPUSES. >> POLITICS SHOULD BE STUDIED AT UNIVERSITY. >> IN TEXAS, ONE NEW UNIVERSITY 5 00:00:18,000 --> 00:00:23,957 CAMPUSES. >> POLITICS SHOULD BE STUDIED AT UNIVERSITY. >> IN TEXAS, ONE NEW UNIVERSITY 6 00:00:24,023 --> 00:00:30,000 IS PRIORITIZING OPEN DEBATE TO RESET THE MARKETPLACE OF IDEAS. >> IF OUR -- [ STOPWATCH TICKING ] 7 00:00:30,000 --> 00:00:36,000 IS PRIORITIZING OPEN DEBATE TO RESET THE MARKETPLACE OF IDEAS. >> IF OUR -- [ STOPWATCH TICKING ] 8 00:00:36,000 --> 00:00:41,174 IS PRIORITIZING OPEN DEBATE TO RESET THE MARKETPLACE OF IDEAS. >> IF OUR -- [ STOPWATCH TICKING ] 9 00:00:41,241 --> 00:00:42,000 >>> TONIGHT, MEET THE PEOPLE WHO SORT, LABEL, AND SIFT THROUGH REAMS OF DATA TO MAKE ARTIFICIAL INTELLIGENCE RUN SMOOTHLY FOR 10 00:00:42,000 --> 00:00:48,000 >>> TONIGHT, MEET THE PEOPLE WHO SORT, LABEL, AND SIFT THROUGH REAMS OF DATA TO MAKE ARTIFICIAL INTELLIGENCE RUN SMOOTHLY FOR 11 00:00:48,000 --> 00:00:50,150 >>> TONIGHT, MEET THE PEOPLE WHO SORT, LABEL, AND SIFT THROUGH REAMS OF DATA TO MAKE ARTIFICIAL INTELLIGENCE RUN SMOOTHLY FOR 12 00:00:50,216 --> 00:00:54,000 AMERICAN TECH COMPANIES, JOBS THAT ARE OFTEN FARMED OUT TO DEVELOPING COUNTRIES WITH CONDITIONS LIKENED TO SWEATSHOPS 13 00:00:54,000 --> 00:00:58,091 AMERICAN TECH COMPANIES, JOBS THAT ARE OFTEN FARMED OUT TO DEVELOPING COUNTRIES WITH CONDITIONS LIKENED TO SWEATSHOPS 14 00:00:58,158 --> 00:01:00,000 WITH COMPUTERS INSTEAD OF SEWING MACHINES. >> IT'S TERRIBLE TO SUGGEST HOW MANY AMERICAN COMPANIES ARE 15 00:01:00,000 --> 00:01:05,498 WITH COMPUTERS INSTEAD OF SEWING MACHINES. >> IT'S TERRIBLE TO SUGGEST HOW MANY AMERICAN COMPANIES ARE 16 00:01:05,565 --> 00:01:06,000 DOING WRONG HERE AND IT'S SOMETHING THEY WOULDN'T DO AT HOME. >>> YOU'VE GOT TO HAVE THE 17 00:01:06,000 --> 00:01:12,000 DOING WRONG HERE AND IT'S SOMETHING THEY WOULDN'T DO AT HOME. >>> YOU'VE GOT TO HAVE THE 18 00:01:12,000 --> 00:01:12,338 DOING WRONG HERE AND IT'S SOMETHING THEY WOULDN'T DO AT HOME. >>> YOU'VE GOT TO HAVE THE 19 00:01:12,405 --> 00:01:18,000 SIREN? >> ESPANOLA, NEW MEXICO, CALLS THE WORLD. LOWRIDER CAPITAL OF - AND WHEN WE WERE THERE, WE 20 00:01:18,000 --> 00:01:19,779 SIREN? >> ESPANOLA, NEW MEXICO, CALLS THE WORLD. LOWRIDER CAPITAL OF - AND WHEN WE WERE THERE, WE 21 00:01:19,846 --> 00:01:24,000 WATCHED A CANDY-COLORED CARAVAN OF CARS STRUTTING THEIR STUFF. WHETHER THEY HOPPED TO THE SKY OR SAT EVER SO LOW TO THE 22 00:01:24,000 --> 00:01:29,522 WATCHED A CANDY-COLORED CARAVAN OF CARS STRUTTING THEIR STUFF. WHETHER THEY HOPPED TO THE SKY OR SAT EVER SO LOW TO THE 23 00:01:29,589 --> 00:01:30,000 GROUND, EACH LOWRIDER WE SAW SEEMED TO SAY, HERE I AM. >> IT'S SLEEK, IT'S CLASSIC. IT'S BEAUTIFUL. 24 00:01:30,000 --> 00:01:36,000 GROUND, EACH LOWRIDER WE SAW SEEMED TO SAY, HERE I AM. >> IT'S SLEEK, IT'S CLASSIC. IT'S BEAUTIFUL. 25 00:01:36,000 --> 00:01:36,496 GROUND, EACH LOWRIDER WE SAW SEEMED TO SAY, HERE I AM. >> IT'S SLEEK, IT'S CLASSIC. IT'S BEAUTIFUL. 26 00:01:36,563 --> 00:01:42,000 IT'S KIND OF ME. [ STOPWATCH TICKING ] >>> I'M LESLEY STAHL. >> I'M BILL WHITTAKER. 27 00:01:42,000 --> 00:01:42,502 IT'S KIND OF ME. [ STOPWATCH TICKING ] >>> I'M LESLEY STAHL. >> I'M BILL WHITTAKER. 28 00:01:42,569 --> 00:01:48,000 >> I'M ANDERSON COOPER. >> I'M SHARON AL FONZIE. >> THOSE STORIES AND MORE TONIGHT ON "60 MINUTES." 29 00:01:48,000 --> 00:01:54,000 >> I'M ANDERSON COOPER. >> I'M SHARON AL FONZIE. >> THOSE STORIES AND MORE TONIGHT ON "60 MINUTES." 30 00:01:54,000 --> 00:02:00,000 >> I'M ANDERSON COOPER. >> I'M SHARON AL FONZIE. >> THOSE STORIES AND MORE TONIGHT ON "60 MINUTES." 31 00:02:00,000 --> 00:02:01,187 >> I'M ANDERSON COOPER. >> I'M SHARON AL FONZIE. >> THOSE STORIES AND MORE TONIGHT ON "60 MINUTES." 32 00:02:01,254 --> 00:02:06,000 >>> THESE ARE NOT SOARING TIMES FOR HIGHER EDUCATION. TUITION COSTS RISE UNCHECKED. CONTEMPT FOR TODAY'S CAMPUS 33 00:02:06,000 --> 00:02:10,263 >>> THESE ARE NOT SOARING TIMES FOR HIGHER EDUCATION. TUITION COSTS RISE UNCHECKED. CONTEMPT FOR TODAY'S CAMPUS 34 00:02:10,330 --> 00:02:12,000 CULTURE, TRIGGER WARNINGS, SAFE SPACES, MICROAGGRESSIONS, HELPED SWING THE ELECTION. IN THIS PAST WEEK, 35 00:02:12,000 --> 00:02:17,070 CULTURE, TRIGGER WARNINGS, SAFE SPACES, MICROAGGRESSIONS, HELPED SWING THE ELECTION. IN THIS PAST WEEK, 36 00:02:17,136 --> 00:02:18,000 PRESIDENT-ELECT DONALD TRUMP NOMINATED LINDA McMAN TO LEAD THE DEPARTMENT OF EDUCATION, AN AGENCY THAT EACH YEAR 37 00:02:18,000 --> 00:02:23,376 PRESIDENT-ELECT DONALD TRUMP NOMINATED LINDA McMAN TO LEAD THE DEPARTMENT OF EDUCATION, AN AGENCY THAT EACH YEAR 38 00:02:23,443 --> 00:02:24,000 DISTRIBUTES BILLIONS TO U.S. COLLEGES, SOME THAT TRUMP HAS VOWED TO TAX AND SUE FOR THEIR, QUOTE, WOKENESS. 39 00:02:24,000 --> 00:02:30,000 DISTRIBUTES BILLIONS TO U.S. COLLEGES, SOME THAT TRUMP HAS VOWED TO TAX AND SUE FOR THEIR, QUOTE, WOKENESS. 40 00:02:30,000 --> 00:02:30,483 DISTRIBUTES BILLIONS TO U.S. COLLEGES, SOME THAT TRUMP HAS VOWED TO TAX AND SUE FOR THEIR, QUOTE, WOKENESS. 41 00:02:30,550 --> 00:02:36,000 BUT IF AMERICA DOES ONE THING WELL, IT'S INNOVATION. CONCEIVED LARGELY BY FRUSTRATED PROFESSORS AT SCHOOLS LIKE 42 00:02:36,000 --> 00:02:38,725 BUT IF AMERICA DOES ONE THING WELL, IT'S INNOVATION. CONCEIVED LARGELY BY FRUSTRATED PROFESSORS AT SCHOOLS LIKE 43 00:02:38,791 --> 00:02:42,000 HARVARD, PRINCETON, AND BROWN, THE UNIVERSITY OF AUSTIN STARTED CLASSES THIS FALL. THE COLLEGE START UP, A SHOUT 44 00:02:42,000 --> 00:02:45,832 HARVARD, PRINCETON, AND BROWN, THE UNIVERSITY OF AUSTIN STARTED CLASSES THIS FALL. THE COLLEGE START UP, A SHOUT 45 00:02:45,899 --> 00:02:48,000 NOTHING BUT SAY ANYTHING PHILOSOPHY AND FOR NOW, FREE TUITION. WILL THIS BE ANOTHER POLITICIZED 46 00:02:48,000 --> 00:02:53,339 NOTHING BUT SAY ANYTHING PHILOSOPHY AND FOR NOW, FREE TUITION. WILL THIS BE ANOTHER POLITICIZED 47 00:02:53,406 --> 00:02:54,000 CAMPUS SWINGING RIGHT OR A TRUE DISRUPTER RESETTING THE MARKETPLACE OF IDEAS? 140 YEARS OLD, THE UNIVERSITY OF 48 00:02:54,000 --> 00:03:00,000 CAMPUS SWINGING RIGHT OR A TRUE DISRUPTER RESETTING THE MARKETPLACE OF IDEAS? 140 YEARS OLD, THE UNIVERSITY OF 49 00:03:00,000 --> 00:03:05,318 CAMPUS SWINGING RIGHT OR A TRUE DISRUPTER RESETTING THE MARKETPLACE OF IDEAS? 140 YEARS OLD, THE UNIVERSITY OF 50 00:03:05,385 --> 00:03:06,000 TEXAS AT AUSTIN RANKS SOME OF THE COUNTRY'S LARGEST SCHOOLS. FOOTBALL GAMES DRAW MORE THAN 100,000 FANS. 51 00:03:06,000 --> 00:03:12,000 TEXAS AT AUSTIN RANKS SOME OF THE COUNTRY'S LARGEST SCHOOLS. FOOTBALL GAMES DRAW MORE THAN 100,000 FANS. 52 00:03:12,000 --> 00:03:13,226 TEXAS AT AUSTIN RANKS SOME OF THE COUNTRY'S LARGEST SCHOOLS. FOOTBALL GAMES DRAW MORE THAN 100,000 FANS. 53 00:03:13,293 --> 00:03:18,000 BUT BLOCKS AWAY, IN BETWEEN A VELVET TACO, ON A FLOOR OF WHAT WAS ONCE A DOWNTOWN DEPARTMENT STORE, ONE OF AMERICA'S SMALLEST 54 00:03:18,000 --> 00:03:24,000 BUT BLOCKS AWAY, IN BETWEEN A VELVET TACO, ON A FLOOR OF WHAT WAS ONCE A DOWNTOWN DEPARTMENT STORE, ONE OF AMERICA'S SMALLEST 55 00:03:24,000 --> 00:03:25,438 BUT BLOCKS AWAY, IN BETWEEN A VELVET TACO, ON A FLOOR OF WHAT WAS ONCE A DOWNTOWN DEPARTMENT STORE, ONE OF AMERICA'S SMALLEST 56 00:03:25,505 --> 00:03:30,000 UNIVERSITIES, UATX, THE UNIVERSITY OF AUSTIN. HOW WOULD YOU DESCRIBE MEMBERS OF THE FOUNDING CLASS? 57 00:03:30,000 --> 00:03:31,044 UNIVERSITIES, UATX, THE UNIVERSITY OF AUSTIN. HOW WOULD YOU DESCRIBE MEMBERS OF THE FOUNDING CLASS? 58 00:03:31,110 --> 00:03:36,000 >> VERY OUTSPOKEN. >> YOU'LL NEVER ENTER A CONVERSATION AND LEAVE WITHOUT SOMETHING YOU DIDN'T KNOW BEFORE 59 00:03:36,000 --> 00:03:37,584 >> VERY OUTSPOKEN. >> YOU'LL NEVER ENTER A CONVERSATION AND LEAVE WITHOUT SOMETHING YOU DIDN'T KNOW BEFORE 60 00:03:37,650 --> 00:03:42,000 TALKING TO SOMEONE. >> OLIVIA ANTUNES, DYLAN WOOU, CONSTANTIN WHITMIRE, GRACE PRICE, AND JACOB HORNSTEIN ARE 61 00:03:42,000 --> 00:03:48,000 TALKING TO SOMEONE. >> OLIVIA ANTUNES, DYLAN WOOU, CONSTANTIN WHITMIRE, GRACE PRICE, AND JACOB HORNSTEIN ARE 62 00:03:48,000 --> 00:03:50,797 TALKING TO SOMEONE. >> OLIVIA ANTUNES, DYLAN WOOU, CONSTANTIN WHITMIRE, GRACE PRICE, AND JACOB HORNSTEIN ARE 63 00:03:50,863 --> 00:03:54,000 IN THE INAUGURAL CLASS. >> PURSUING THE TRUTH. YOU START BY TELLING THE TRUTH. >> PURSUIT OF TRUTH. 64 00:03:54,000 --> 00:03:56,869 IN THE INAUGURAL CLASS. >> PURSUING THE TRUTH. YOU START BY TELLING THE TRUTH. >> PURSUIT OF TRUTH. 65 00:03:56,936 --> 00:04:00,000 >> THE PURSUIT OF TRUTH TO ME IS I HAVE THIS KIND OF MENTALITY THAT THE BEST WAY THAT YOU SHOULD GO ABOUT YOUR LIFE IS TO 66 00:04:00,000 --> 00:04:03,843 >> THE PURSUIT OF TRUTH TO ME IS I HAVE THIS KIND OF MENTALITY THAT THE BEST WAY THAT YOU SHOULD GO ABOUT YOUR LIFE IS TO 67 00:04:03,910 --> 00:04:06,000 ALWAYS ASSUME THAT YOU'RE WRONG IN SOME CAPACITY. >> YOU'RE PREPARED FOR THAT. >> RIGHT. 68 00:04:06,000 --> 00:04:09,015 ALWAYS ASSUME THAT YOU'RE WRONG IN SOME CAPACITY. >> YOU'RE PREPARED FOR THAT. >> RIGHT. 69 00:04:09,082 --> 00:04:12,000 >> TO BE CHALLENGED AND STRESS TESTED. >> IT'S NOT JUST EVEN PREPARED, THAT'S WHY I'M AT THE SCHOOL. 70 00:04:12,000 --> 00:04:17,223 >> TO BE CHALLENGED AND STRESS TESTED. >> IT'S NOT JUST EVEN PREPARED, THAT'S WHY I'M AT THE SCHOOL. 71 00:04:17,290 --> 00:04:18,000 I WANT THEM TO BE CHALLENGED. I KNOW I'M WRONG IN SOME WAY. >> WE'RE VERY INTELLECTUALLY DIVERSE. 72 00:04:18,000 --> 00:04:22,629 I WANT THEM TO BE CHALLENGED. I KNOW I'M WRONG IN SOME WAY. >> WE'RE VERY INTELLECTUALLY DIVERSE. 73 00:04:22,695 --> 00:04:24,000 I'VE MET PEOPLE FROM EVERY POLITICAL PERSUASION, FAR LEFT DEMOCRATS WHO ARE FOR BERNIE SANDERS OR TO THE LEFT OF THAT 74 00:04:24,000 --> 00:04:30,000 I'VE MET PEOPLE FROM EVERY POLITICAL PERSUASION, FAR LEFT DEMOCRATS WHO ARE FOR BERNIE SANDERS OR TO THE LEFT OF THAT 75 00:04:30,000 --> 00:04:32,205 I'VE MET PEOPLE FROM EVERY POLITICAL PERSUASION, FAR LEFT DEMOCRATS WHO ARE FOR BERNIE SANDERS OR TO THE LEFT OF THAT 76 00:04:32,271 --> 00:04:36,000 EVEN TO PEOPLE WHO MAKE DONALD TRUMP LOOK LIBERAL. >> THEY SHARE ACADEMIC STRENGTH, AVERAGES 92nd PERCENTILE ON THE 77 00:04:36,000 --> 00:04:42,000 EVEN TO PEOPLE WHO MAKE DONALD TRUMP LOOK LIBERAL. >> THEY SHARE ACADEMIC STRENGTH, AVERAGES 92nd PERCENTILE ON THE 78 00:04:42,000 --> 00:04:43,216 EVEN TO PEOPLE WHO MAKE DONALD TRUMP LOOK LIBERAL. >> THEY SHARE ACADEMIC STRENGTH, AVERAGES 92nd PERCENTILE ON THE 79 00:04:43,282 --> 00:04:48,000 S.A.T. SOME WERE ACCEPTED TO SCHOOLS LIKE UNIVERSITY OF CHICAGO AND GEORGETOWN BUT CHOSE UATX FOR 80 00:04:48,000 --> 00:04:51,057 S.A.T. SOME WERE ACCEPTED TO SCHOOLS LIKE UNIVERSITY OF CHICAGO AND GEORGETOWN BUT CHOSE UATX FOR 81 00:04:51,124 --> 00:04:54,000 WHAT IT IS AND IS NOT. >> I VISITED A NUMBER IN THE U.S. AND THE STUDENT GUIDING ME THERE WAS WE HAVE DIFFERENT 82 00:04:54,000 --> 00:04:58,398 WHAT IT IS AND IS NOT. >> I VISITED A NUMBER IN THE U.S. AND THE STUDENT GUIDING ME THERE WAS WE HAVE DIFFERENT 83 00:04:58,464 --> 00:05:00,000 DORMS FOR DIFFERENT STUDENT GROUPS. I DIDN'T WANT TO GO TO A SPACE LIKE THAT. 84 00:05:00,000 --> 00:05:02,502 DORMS FOR DIFFERENT STUDENT GROUPS. I DIDN'T WANT TO GO TO A SPACE LIKE THAT. 85 00:05:02,568 --> 00:05:06,000 >> WHY DO YOU THINK IT'S IMPORTANT TO BE AT A COLLEGE WHERE DIFFERING VIEWS AREN'T JUST ACCEPTED AND TOLERATED, BUT 86 00:05:06,000 --> 00:05:08,541 >> WHY DO YOU THINK IT'S IMPORTANT TO BE AT A COLLEGE WHERE DIFFERING VIEWS AREN'T JUST ACCEPTED AND TOLERATED, BUT 87 00:05:08,608 --> 00:05:12,000 WELCOME? >> WE'RE ACTUALLY LISTENING TO THE OTHER SIDE AND UNDERSTANDING EACH OTHER. 88 00:05:12,000 --> 00:05:14,814 WELCOME? >> WE'RE ACTUALLY LISTENING TO THE OTHER SIDE AND UNDERSTANDING EACH OTHER. 89 00:05:14,881 --> 00:05:18,000 STILL WE'RE FRIENDS WITH EACH OTHER. I IMMEDIATELY DISAGREE WITH MANY OF THE THINGS JACOB SAYS. 90 00:05:18,000 --> 00:05:21,621 STILL WE'RE FRIENDS WITH EACH OTHER. I IMMEDIATELY DISAGREE WITH MANY OF THE THINGS JACOB SAYS. 91 00:05:21,688 --> 00:05:24,000 I THINK YOU DO -- >> IT'S LIKEWISE. >> BUT WE GET ALONG PRETTY WELL. IT'S A BEAUTIFUL THING. 92 00:05:24,000 --> 00:05:27,360 I THINK YOU DO -- >> IT'S LIKEWISE. >> BUT WE GET ALONG PRETTY WELL. IT'S A BEAUTIFUL THING. 93 00:05:27,427 --> 00:05:30,000 >> NOT EXACTLY THE VIBE ON OTHER CAMPUSES. LONG BEFORE HAMAS ATTACKED ISRAEL ON OCTOBER 7th, COLLEGES 94 00:05:30,000 --> 00:05:34,934 >> NOT EXACTLY THE VIBE ON OTHER CAMPUSES. LONG BEFORE HAMAS ATTACKED ISRAEL ON OCTOBER 7th, COLLEGES 95 00:05:35,001 --> 00:05:36,000 HAVE BEEN SITES OF PROTESTS AND HAVE LEANED LEFT. BUT THE ATMOSPHERE HAS INTENSIFIED OVER THE PAST 96 00:05:36,000 --> 00:05:42,000 HAVE BEEN SITES OF PROTESTS AND HAVE LEANED LEFT. BUT THE ATMOSPHERE HAS INTENSIFIED OVER THE PAST 97 00:05:42,000 --> 00:05:42,041 HAVE BEEN SITES OF PROTESTS AND HAVE LEANED LEFT. BUT THE ATMOSPHERE HAS INTENSIFIED OVER THE PAST 98 00:05:42,108 --> 00:05:48,000 DECADE. SPEAKERS SHOUTED DOWN. >> YOU'RE NOT LISTENING. >> PROFESSORS CANCELED WHEN 99 00:05:48,000 --> 00:05:51,851 DECADE. SPEAKERS SHOUTED DOWN. >> YOU'RE NOT LISTENING. >> PROFESSORS CANCELED WHEN 100 00:05:51,918 --> 00:05:54,000 STUDENTS FEEL UNHEARD. [ CROWD CHANTING ] >> THEN THE RECKONING THIS PAST YEAR. 101 00:05:54,000 --> 00:05:59,358 STUDENTS FEEL UNHEARD. [ CROWD CHANTING ] >> THEN THE RECKONING THIS PAST YEAR. 102 00:05:59,425 --> 00:06:00,000 CAMPUS CHAOS LED FIRST TO CONGRESSIONAL HEARINGS -- >> MISS McGILL, THE FACT IS THE PEN REGULATES SPEECH IT DOESN'T 103 00:06:00,000 --> 00:06:06,000 CAMPUS CHAOS LED FIRST TO CONGRESSIONAL HEARINGS -- >> MISS McGILL, THE FACT IS THE PEN REGULATES SPEECH IT DOESN'T 104 00:06:06,000 --> 00:06:09,302 CAMPUS CHAOS LED FIRST TO CONGRESSIONAL HEARINGS -- >> MISS McGILL, THE FACT IS THE PEN REGULATES SPEECH IT DOESN'T 105 00:06:09,368 --> 00:06:12,000 LIKE. >> THEN RESIGNATIONS OF PRESIDENTS AT COLUMBIA, UNIVERSITY OF PENNSYLVANIA, AND 106 00:06:12,000 --> 00:06:14,607 LIKE. >> THEN RESIGNATIONS OF PRESIDENTS AT COLUMBIA, UNIVERSITY OF PENNSYLVANIA, AND 107 00:06:14,674 --> 00:06:18,000 HARVARD. >> FROM THE STUDENTS' POINT OF VIEW, IT'S TERRIBLY IMPORTANT THAT THE UNITED STATES IMPROVES, 108 00:06:18,000 --> 00:06:20,012 HARVARD. >> FROM THE STUDENTS' POINT OF VIEW, IT'S TERRIBLY IMPORTANT THAT THE UNITED STATES IMPROVES, 109 00:06:20,079 --> 00:06:24,000 REFORMS, REVITALIZES ITS UNIVERSITIES. >> SCOTTISH BORN, NEIL FERGUSON IS ONE OF THE FOUNDERS OF UATX. 110 00:06:24,000 --> 00:06:28,688 REFORMS, REVITALIZES ITS UNIVERSITIES. >> SCOTTISH BORN, NEIL FERGUSON IS ONE OF THE FOUNDERS OF UATX. 111 00:06:28,755 --> 00:06:30,000 AN HISTORIAN ALSO KNOWN FOR HIS CONSERVATIVE VIEWS, FERGUSON SPENT MORE THAN A DECADE AS A PROFESSOR AT HARVARD AND IS NOW 112 00:06:30,000 --> 00:06:36,000 AN HISTORIAN ALSO KNOWN FOR HIS CONSERVATIVE VIEWS, FERGUSON SPENT MORE THAN A DECADE AS A PROFESSOR AT HARVARD AND IS NOW 113 00:06:36,000 --> 00:06:40,166 AN HISTORIAN ALSO KNOWN FOR HIS CONSERVATIVE VIEWS, FERGUSON SPENT MORE THAN A DECADE AS A PROFESSOR AT HARVARD AND IS NOW 114 00:06:40,233 --> 00:06:42,000 A SENIOR FELLOW AT STANFORD. >> YOU SAY SOMETHING IS ROTTEN IN THE STATE OF ACADEMIA. WHAT DO YOU MEAN BY THAT? 115 00:06:42,000 --> 00:06:44,637 A SENIOR FELLOW AT STANFORD. >> YOU SAY SOMETHING IS ROTTEN IN THE STATE OF ACADEMIA. WHAT DO YOU MEAN BY THAT? 116 00:06:44,704 --> 00:06:48,000 >> RIGHT UP UNTIL I GUESS THE EARLY 2000s, IT STILL SEEMED LIKE UNIVERSITIES WERE THE PLACES WHERE YOU COULD THINK 117 00:06:48,000 --> 00:06:50,443 >> RIGHT UP UNTIL I GUESS THE EARLY 2000s, IT STILL SEEMED LIKE UNIVERSITIES WERE THE PLACES WHERE YOU COULD THINK 118 00:06:50,510 --> 00:06:54,000 MOST FREELY AND SPEAK MOST FREELY AND TAKE THE MOST INTELLECTUAL RISK. AND AT SOME POINT IN THE LAST 119 00:06:54,000 --> 00:06:56,749 MOST FREELY AND SPEAK MOST FREELY AND TAKE THE MOST INTELLECTUAL RISK. AND AT SOME POINT IN THE LAST 120 00:06:56,816 --> 00:07:00,000 TEN YEARS, THAT CHANGED, AND IT CHANGED IN A WAY THAT BEGAN TO STIFLE FREE EXPRESSION. >> WE CAME ACROSS DATA THAT LESS 121 00:07:00,000 --> 00:07:06,000 TEN YEARS, THAT CHANGED, AND IT CHANGED IN A WAY THAT BEGAN TO STIFLE FREE EXPRESSION. >> WE CAME ACROSS DATA THAT LESS 122 00:07:06,000 --> 00:07:06,259 TEN YEARS, THAT CHANGED, AND IT CHANGED IN A WAY THAT BEGAN TO STIFLE FREE EXPRESSION. >> WE CAME ACROSS DATA THAT LESS 123 00:07:06,325 --> 00:07:12,000 THAN 3% OF THE HARVARD FACULTY IDENTIFIES AS CONSERVATIVE. >> WIDELY OUT OF PROPORTION WITH THE AMERICAN PUBLIC. 124 00:07:12,000 --> 00:07:14,066 THAN 3% OF THE HARVARD FACULTY IDENTIFIES AS CONSERVATIVE. >> WIDELY OUT OF PROPORTION WITH THE AMERICAN PUBLIC. 125 00:07:14,133 --> 00:07:18,000 >> THERE'S A HUGE DISCONNECT THE AVERAGE AMERICAN VOTER. >> FERGUSON SAYS THIS POLITICAL IMBALANCE PLUS SOCIAL MEDIA PLUS 126 00:07:18,000 --> 00:07:24,000 >> THERE'S A HUGE DISCONNECT THE AVERAGE AMERICAN VOTER. >> FERGUSON SAYS THIS POLITICAL IMBALANCE PLUS SOCIAL MEDIA PLUS 127 00:07:24,000 --> 00:07:25,678 >> THERE'S A HUGE DISCONNECT THE AVERAGE AMERICAN VOTER. >> FERGUSON SAYS THIS POLITICAL IMBALANCE PLUS SOCIAL MEDIA PLUS 128 00:07:25,745 --> 00:07:30,000 AN ARMY OF CAMPUS ADMINISTRATORS MONITORING SPEECH EQUALS A CULTURE WHERE, PER ONE STUDY, NEARLY 80% OF TODAY'S STUDENTS 129 00:07:30,000 --> 00:07:34,554 AN ARMY OF CAMPUS ADMINISTRATORS MONITORING SPEECH EQUALS A CULTURE WHERE, PER ONE STUDY, NEARLY 80% OF TODAY'S STUDENTS 130 00:07:34,620 --> 00:07:36,000 SELF-SENSOR ON CAMPUS FOR FEAR OF BEING OSTRACIZED. FACULTY FEELS THE CHILL TOO. >> THE PRESIDENT OF A UNIVERSITY 131 00:07:36,000 --> 00:07:41,494 SELF-SENSOR ON CAMPUS FOR FEAR OF BEING OSTRACIZED. FACULTY FEELS THE CHILL TOO. >> THE PRESIDENT OF A UNIVERSITY 132 00:07:41,561 --> 00:07:42,000 I WON'T NAME ONCE TOLD ME THAT HE RECEIVED, ON AVERAGE, ONE EMAIL A DAY FROM A MEMBER OF THE UNIVERSITY COMMUNITY CALLING FOR 133 00:07:42,000 --> 00:07:48,000 I WON'T NAME ONCE TOLD ME THAT HE RECEIVED, ON AVERAGE, ONE EMAIL A DAY FROM A MEMBER OF THE UNIVERSITY COMMUNITY CALLING FOR 134 00:07:48,000 --> 00:07:48,768 I WON'T NAME ONCE TOLD ME THAT HE RECEIVED, ON AVERAGE, ONE EMAIL A DAY FROM A MEMBER OF THE UNIVERSITY COMMUNITY CALLING FOR 135 00:07:48,835 --> 00:07:54,000 SOMEBODY ELSE TO BE FIRED FOR SOMETHING THEY'D SAID. THAT REMINDS ME VIVIDLY OF THE BAD OLD DAYS OF STALIN'S SOVIET 136 00:07:54,000 --> 00:07:58,611 SOMEBODY ELSE TO BE FIRED FOR SOMETHING THEY'D SAID. THAT REMINDS ME VIVIDLY OF THE BAD OLD DAYS OF STALIN'S SOVIET 137 00:07:58,678 --> 00:08:00,000 UNION AND YET IT'S HAPPENING ON AMERICAN CAMPUSES. >> THE STAKES ARE THAT HIGH? >> I THINK IF A UNIVERSITY 138 00:08:00,000 --> 00:08:03,382 UNION AND YET IT'S HAPPENING ON AMERICAN CAMPUSES. >> THE STAKES ARE THAT HIGH? >> I THINK IF A UNIVERSITY 139 00:08:03,449 --> 00:08:06,000 SYSTEM STARTS TO GO WRONG, THEN SOMETHING IS BOUND TO GO WRONG FOR THE SOCIETY AS A HOLE. THE IDEAS THAT START ON CAMPUS 140 00:08:06,000 --> 00:08:12,000 SYSTEM STARTS TO GO WRONG, THEN SOMETHING IS BOUND TO GO WRONG FOR THE SOCIETY AS A HOLE. THE IDEAS THAT START ON CAMPUS 141 00:08:12,000 --> 00:08:12,225 SYSTEM STARTS TO GO WRONG, THEN SOMETHING IS BOUND TO GO WRONG FOR THE SOCIETY AS A HOLE. THE IDEAS THAT START ON CAMPUS 142 00:08:12,291 --> 00:08:17,096 PRETTY QUICKLY SPREAD TO CORPORATIONS, TO MEDIA ORGANIZATIONS. UNIVERSITY FORMS THE WAY YOU 143 00:08:17,163 --> 00:08:18,000 THINK ABOUT THE WORLD FOR THE REST OF YOUR LIFE. IF OUR UNIVERSITIES ARE SCREWED UP -- AND I BELIEVE THEY ARE -- 144 00:08:18,000 --> 00:08:24,000 THINK ABOUT THE WORLD FOR THE REST OF YOUR LIFE. IF OUR UNIVERSITIES ARE SCREWED UP -- AND I BELIEVE THEY ARE -- 145 00:08:24,000 --> 00:08:24,103 THINK ABOUT THE WORLD FOR THE REST OF YOUR LIFE. IF OUR UNIVERSITIES ARE SCREWED UP -- AND I BELIEVE THEY ARE -- 146 00:08:24,170 --> 00:08:30,000 THEN THAT WILL SCREW UP AMERICA AS A WHOLE QUITE QUICKLY. >> IN 2021, FERGUSON LAUNCHED UATX WITH FORMER "NEW YORK 147 00:08:30,000 --> 00:08:32,078 THEN THAT WILL SCREW UP AMERICA AS A WHOLE QUITE QUICKLY. >> IN 2021, FERGUSON LAUNCHED UATX WITH FORMER "NEW YORK 148 00:08:32,144 --> 00:08:36,000 TIMES" JOURNALIST BARRY WEISS, JOE LONGSDALE, AND PANO KANELOS. LARRY SUMMERS, THE FORMER HARVARD PRESIDENT AND U.S. 149 00:08:36,000 --> 00:08:42,000 TIMES" JOURNALIST BARRY WEISS, JOE LONGSDALE, AND PANO KANELOS. LARRY SUMMERS, THE FORMER HARVARD PRESIDENT AND U.S. 150 00:08:42,000 --> 00:08:45,091 TIMES" JOURNALIST BARRY WEISS, JOE LONGSDALE, AND PANO KANELOS. LARRY SUMMERS, THE FORMER HARVARD PRESIDENT AND U.S. 151 00:08:45,157 --> 00:08:48,000 TREASURY SECRETARY UNDER CLINTON BECAME ADVISER. IN THIS AD, THEY ANNOUNCED THEY WERE DONE WAITING FOR AMERICA'S 152 00:08:48,000 --> 00:08:51,597 TREASURY SECRETARY UNDER CLINTON BECAME ADVISER. IN THIS AD, THEY ANNOUNCED THEY WERE DONE WAITING FOR AMERICA'S 153 00:08:51,664 --> 00:08:54,000 UNIVERSITIES TO FIX THEMSELVES. UATX RECEIVED INITIAL APPROVAL FROM THE STATE OF TEXAS AND RAISED NEARLY $200 MILLION FROM 154 00:08:54,000 --> 00:09:00,000 UNIVERSITIES TO FIX THEMSELVES. UATX RECEIVED INITIAL APPROVAL FROM THE STATE OF TEXAS AND RAISED NEARLY $200 MILLION FROM 155 00:09:00,000 --> 00:09:00,373 UNIVERSITIES TO FIX THEMSELVES. UATX RECEIVED INITIAL APPROVAL FROM THE STATE OF TEXAS AND RAISED NEARLY $200 MILLION FROM 156 00:09:00,439 --> 00:09:06,000 PRIVATE DONORS, IN PART TO COVER TUITION. KANELOS WAS NAMED PRESIDENT. >> OUR WORK IS TO STIR 157 00:09:06,000 --> 00:09:09,849 PRIVATE DONORS, IN PART TO COVER TUITION. KANELOS WAS NAMED PRESIDENT. >> OUR WORK IS TO STIR 158 00:09:09,916 --> 00:09:12,000 UP SETTLED IDEAS. >> HE SAYS THAT TO THE DETRIMENT OF LEARNING, COLLEGES HAVE BECOME ECHO CHAMBERS. 159 00:09:12,000 --> 00:09:17,690 UP SETTLED IDEAS. >> HE SAYS THAT TO THE DETRIMENT OF LEARNING, COLLEGES HAVE BECOME ECHO CHAMBERS. 160 00:09:17,757 --> 00:09:18,000 >> WHAT IS GOING ON ON CAMPUSES? >> IT'S AS IF PEOPLE EXPECT THERE ARE TWO VERSIONS OF EVERYTHING AND THEREFORE THERE'S 161 00:09:18,000 --> 00:09:24,000 >> WHAT IS GOING ON ON CAMPUSES? >> IT'S AS IF PEOPLE EXPECT THERE ARE TWO VERSIONS OF EVERYTHING AND THEREFORE THERE'S 162 00:09:24,000 --> 00:09:25,765 >> WHAT IS GOING ON ON CAMPUSES? >> IT'S AS IF PEOPLE EXPECT THERE ARE TWO VERSIONS OF EVERYTHING AND THEREFORE THERE'S 163 00:09:25,831 --> 00:09:28,968 A RIGHT VERSION AND A WRONG VERSION. DEPENDING ON WHICH SIDE YOU STAND. 164 00:09:29,035 --> 00:09:30,000 BUT THE TRUTH IS THAT ONE OPINION MEETING ANOTHER OPINION SHOULDN'T LEAVE US WITH TWO OPINIONS. 165 00:09:30,000 --> 00:09:34,674 BUT THE TRUTH IS THAT ONE OPINION MEETING ANOTHER OPINION SHOULDN'T LEAVE US WITH TWO OPINIONS. 166 00:09:34,740 --> 00:09:36,000 IT SHOULD LEAVE US WITH BETTER OPINIONS. >> WHAT DO YOU MEAN BY THAT EXACTLY? 167 00:09:36,000 --> 00:09:40,146 IT SHOULD LEAVE US WITH BETTER OPINIONS. >> WHAT DO YOU MEAN BY THAT EXACTLY? 168 00:09:40,212 --> 00:09:42,000 >> CHRISTIAN VALUES WE HAVE -- >> TO COMBAT FEARS OF SAYING THE WRONG THING IN CLASS, UATX COMES UNDER THE WEAPON? 169 00:09:42,000 --> 00:09:47,853 >> CHRISTIAN VALUES WE HAVE -- >> TO COMBAT FEARS OF SAYING THE WRONG THING IN CLASS, UATX COMES UNDER THE WEAPON? 170 00:09:47,920 --> 00:09:48,000 >> THE CHATHAM HOUSE RULE IS A GREAT BRITISH INVENTION. IT SAYS IF YOU ARE A PARTICIPANT IN A DISCUSSION AND YOU HEAR AN 171 00:09:48,000 --> 00:09:54,000 >> THE CHATHAM HOUSE RULE IS A GREAT BRITISH INVENTION. IT SAYS IF YOU ARE A PARTICIPANT IN A DISCUSSION AND YOU HEAR AN 172 00:09:54,000 --> 00:09:56,462 >> THE CHATHAM HOUSE RULE IS A GREAT BRITISH INVENTION. IT SAYS IF YOU ARE A PARTICIPANT IN A DISCUSSION AND YOU HEAR AN 173 00:09:56,529 --> 00:10:00,000 INTERESTING THING SAID, MAYBE A CONTROVERSIAL THING, YOU CAN REFER TO THE INFORMATION THAT YOU'VE GLEANED, BUT YOU CAN'T 174 00:10:00,000 --> 00:10:05,137 INTERESTING THING SAID, MAYBE A CONTROVERSIAL THING, YOU CAN REFER TO THE INFORMATION THAT YOU'VE GLEANED, BUT YOU CAN'T 175 00:10:05,204 --> 00:10:06,000 ATTRIBUTE IT TO A PERSON. PEOPLE FEAR THAT THE THING THEY SAID THAT WAS NOT RIGHT WAS POLITICALLY INCORRECT ENDS UP ON 176 00:10:06,000 --> 00:10:12,000 ATTRIBUTE IT TO A PERSON. PEOPLE FEAR THAT THE THING THEY SAID THAT WAS NOT RIGHT WAS POLITICALLY INCORRECT ENDS UP ON 177 00:10:12,000 --> 00:10:13,512 ATTRIBUTE IT TO A PERSON. PEOPLE FEAR THAT THE THING THEY SAID THAT WAS NOT RIGHT WAS POLITICALLY INCORRECT ENDS UP ON 178 00:10:13,579 --> 00:10:18,000 X OR FOR THAT MATTER ON INSTAGRAM. AND THAT WHICH HAPPENS IN THE CLASSROOM SHOULD STAY IN THE 179 00:10:18,000 --> 00:10:19,652 X OR FOR THAT MATTER ON INSTAGRAM. AND THAT WHICH HAPPENS IN THE CLASSROOM SHOULD STAY IN THE 180 00:10:19,719 --> 00:10:24,000 CLASSROOM. >> AT UATX, CLASSES ARE SMALL, SEMINAR-STYLE, AND BASED IN WESTERN CIVILIZATION, THE BIBLE, 181 00:10:24,000 --> 00:10:29,362 CLASSROOM. >> AT UATX, CLASSES ARE SMALL, SEMINAR-STYLE, AND BASED IN WESTERN CIVILIZATION, THE BIBLE, 182 00:10:29,428 --> 00:10:30,000 GREEK CLASSICS. FACULTY INCLUDES A NAVY CAPTAIN, GREEK ORTHODOX PRIEST, AND A TECH ENTREPRENEUR. 183 00:10:30,000 --> 00:10:36,000 GREEK CLASSICS. FACULTY INCLUDES A NAVY CAPTAIN, GREEK ORTHODOX PRIEST, AND A TECH ENTREPRENEUR. 184 00:10:36,000 --> 00:10:37,069 GREEK CLASSICS. FACULTY INCLUDES A NAVY CAPTAIN, GREEK ORTHODOX PRIEST, AND A TECH ENTREPRENEUR. 185 00:10:37,136 --> 00:10:42,000 >> YOU'RE TRYING TO PLAY THE STEVE JOBS ROLE HERE, RIGHT? >> THERE ARE NO ON-CAMPUS SCIENCE LABS, BUT FOUNDERS CHOSE 186 00:10:42,000 --> 00:10:45,478 >> YOU'RE TRYING TO PLAY THE STEVE JOBS ROLE HERE, RIGHT? >> THERE ARE NO ON-CAMPUS SCIENCE LABS, BUT FOUNDERS CHOSE 187 00:10:45,544 --> 00:10:48,000 AUSTIN FOR ITS BOOMING STARTUP CULTURE. >> HOW DO YOU TAKE THIS CUTTING EDGE RESEARCH -- 188 00:10:48,000 --> 00:10:50,850 AUSTIN FOR ITS BOOMING STARTUP CULTURE. >> HOW DO YOU TAKE THIS CUTTING EDGE RESEARCH -- 189 00:10:50,916 --> 00:10:54,000 >> AND HELPING THE KIDS SHARPEN THEIR TECH SKILLS AND EVEN FUND THEIR OWN IDEAS. >> WE HAVE BOTH A NON-PROFIT AND 190 00:10:54,000 --> 00:10:58,190 >> AND HELPING THE KIDS SHARPEN THEIR TECH SKILLS AND EVEN FUND THEIR OWN IDEAS. >> WE HAVE BOTH A NON-PROFIT AND 191 00:10:58,257 --> 00:11:00,000 A STARTUP SIDE. >> TO STEM THE SCANDALOUSLY HIGH COST OF HIGHER EDUCATION, THE UATX CAMPUS IS BARE BONES. 192 00:11:00,000 --> 00:11:06,000 A STARTUP SIDE. >> TO STEM THE SCANDALOUSLY HIGH COST OF HIGHER EDUCATION, THE UATX CAMPUS IS BARE BONES. 193 00:11:06,000 --> 00:11:09,402 A STARTUP SIDE. >> TO STEM THE SCANDALOUSLY HIGH COST OF HIGHER EDUCATION, THE UATX CAMPUS IS BARE BONES. 194 00:11:09,468 --> 00:11:12,000 NO DORMS. THE STUDENTS LIVE IN APARTMENTS NEXT TO UT UNDERGRADS, AND NO MEAL PLAN. 195 00:11:12,000 --> 00:11:15,474 NO DORMS. THE STUDENTS LIVE IN APARTMENTS NEXT TO UT UNDERGRADS, AND NO MEAL PLAN. 196 00:11:15,541 --> 00:11:18,000 COOK FOR YOURSELVES, KIDS. THE CLOSEST THING WE FOUND TO A COLLEGE WAGER, STUDENTS LEARNING THE TEXAS TWO STEP. 197 00:11:18,000 --> 00:11:24,000 COOK FOR YOURSELVES, KIDS. THE CLOSEST THING WE FOUND TO A COLLEGE WAGER, STUDENTS LEARNING THE TEXAS TWO STEP. 198 00:11:24,000 --> 00:11:24,617 COOK FOR YOURSELVES, KIDS. THE CLOSEST THING WE FOUND TO A COLLEGE WAGER, STUDENTS LEARNING THE TEXAS TWO STEP. 199 00:11:24,683 --> 00:11:30,000 >> THE GUYS NEXT DOOR ARE PLAYING BEER PONG, AND YOU'RE READING ARISTOTLE AND WORKING WITH LASERS. 200 00:11:30,000 --> 00:11:31,390 >> THE GUYS NEXT DOOR ARE PLAYING BEER PONG, AND YOU'RE READING ARISTOTLE AND WORKING WITH LASERS. 201 00:11:31,457 --> 00:11:36,000 ANY ENVY? >> IT'S NOT TO SAY THAT, YOU KNOW, WE'RE ALL PRUDES AND SPEND ALL DAY READING ARISTOTLE. 202 00:11:36,000 --> 00:11:37,329 ANY ENVY? >> IT'S NOT TO SAY THAT, YOU KNOW, WE'RE ALL PRUDES AND SPEND ALL DAY READING ARISTOTLE. 203 00:11:37,396 --> 00:11:42,000 WE HAVE FUN. >> AS FOR ADMISSIONS, UATX SWAPS DEI, DIVERSITY EQUITY AND INCLUSION FOR MEI, MERIT, 204 00:11:42,000 --> 00:11:48,000 WE HAVE FUN. >> AS FOR ADMISSIONS, UATX SWAPS DEI, DIVERSITY EQUITY AND INCLUSION FOR MEI, MERIT, 205 00:11:48,000 --> 00:11:52,011 WE HAVE FUN. >> AS FOR ADMISSIONS, UATX SWAPS DEI, DIVERSITY EQUITY AND INCLUSION FOR MEI, MERIT, 206 00:11:52,078 --> 00:11:54,000 ETHICS, AND INTELLIGENCE. >> GENDER, RACE, ETHNICITY, WHAT IS THE FACTOR OF THAT? >> WE DON'T TAKE ANY OF THAT 207 00:11:54,000 --> 00:11:59,652 ETHICS, AND INTELLIGENCE. >> GENDER, RACE, ETHNICITY, WHAT IS THE FACTOR OF THAT? >> WE DON'T TAKE ANY OF THAT 208 00:11:59,718 --> 00:12:00,000 INTO CONSIDERATION IN ADMISSIONS. THE PRIMARY THING WE'RE INTERESTED IN IS THE MIND. 209 00:12:00,000 --> 00:12:04,156 INTO CONSIDERATION IN ADMISSIONS. THE PRIMARY THING WE'RE INTERESTED IN IS THE MIND. 210 00:12:04,223 --> 00:12:06,000 >> MEANING WHAT? >> THE CAPACITY TO THINK DEEPLY, TO ANSWER QUESTIONS, TO CHALLEGE NORMS. 211 00:12:06,000 --> 00:12:10,796 >> MEANING WHAT? >> THE CAPACITY TO THINK DEEPLY, TO ANSWER QUESTIONS, TO CHALLEGE NORMS. 212 00:12:10,863 --> 00:12:12,000 >> I'VE GOT TO TELL YOU, WE DID NOT SEE A PARTICULARLY DIVERSE STUDENT BODY. >> WE ARE PUTTING RESOURCES INTO 213 00:12:12,000 --> 00:12:18,000 >> I'VE GOT TO TELL YOU, WE DID NOT SEE A PARTICULARLY DIVERSE STUDENT BODY. >> WE ARE PUTTING RESOURCES INTO 214 00:12:18,000 --> 00:12:18,771 >> I'VE GOT TO TELL YOU, WE DID NOT SEE A PARTICULARLY DIVERSE STUDENT BODY. >> WE ARE PUTTING RESOURCES INTO 215 00:12:18,838 --> 00:12:24,000 FINDING TALENT OF AN INTELLECTUAL VARIETY. AND IF YOU'RE INTERESTED IN DIVERSITY, I RECOMMEND YOU LOOK 216 00:12:24,000 --> 00:12:24,910 FINDING TALENT OF AN INTELLECTUAL VARIETY. AND IF YOU'RE INTERESTED IN DIVERSITY, I RECOMMEND YOU LOOK 217 00:12:24,977 --> 00:12:30,000 AT THE SOCIAL BACKGROUNDS OF OUR STUDENTS, AT THE FAMILY CIRCUMSTANCES OF OUR STUDENTS. >> HIGH PROFILE UATX DONORS 218 00:12:30,000 --> 00:12:34,019 AT THE SOCIAL BACKGROUNDS OF OUR STUDENTS, AT THE FAMILY CIRCUMSTANCES OF OUR STUDENTS. >> HIGH PROFILE UATX DONORS 219 00:12:34,086 --> 00:12:36,000 INCLUDE BILL ACKMAN, A HARVARD GRAD TO VOCALLY CRITICIZED HIS SCHOOL AFTER OCTOBER 7th, AND HARLAN CROW, FRIEND OF CLARENCE 220 00:12:36,000 --> 00:12:42,000 INCLUDE BILL ACKMAN, A HARVARD GRAD TO VOCALLY CRITICIZED HIS SCHOOL AFTER OCTOBER 7th, AND HARLAN CROW, FRIEND OF CLARENCE 221 00:12:42,000 --> 00:12:46,832 INCLUDE BILL ACKMAN, A HARVARD GRAD TO VOCALLY CRITICIZED HIS SCHOOL AFTER OCTOBER 7th, AND HARLAN CROW, FRIEND OF CLARENCE 222 00:12:46,899 --> 00:12:48,000 THOMAS. CRITICS ATTACK UATX AS A RIGHT WING UNIVERSITY SIMPLY WEARING THE CLOAK OF FREE SPEECH. 223 00:12:48,000 --> 00:12:52,838 THOMAS. CRITICS ATTACK UATX AS A RIGHT WING UNIVERSITY SIMPLY WEARING THE CLOAK OF FREE SPEECH. 224 00:12:52,905 --> 00:12:54,000 >> UATX HAS BEEN CALLED THE ANTI-WOKE UNIVERSITY. HARVARD IS LIBERAL, UATX IS GOING TO BE CONSERVATIVE. 225 00:12:54,000 --> 00:13:00,000 >> UATX HAS BEEN CALLED THE ANTI-WOKE UNIVERSITY. HARVARD IS LIBERAL, UATX IS GOING TO BE CONSERVATIVE. 226 00:13:00,000 --> 00:13:01,580 >> UATX HAS BEEN CALLED THE ANTI-WOKE UNIVERSITY. HARVARD IS LIBERAL, UATX IS GOING TO BE CONSERVATIVE. 227 00:13:01,647 --> 00:13:06,000 >> POLITICS SHOULD BE STUDIED AT A UNIVERSITY. ANY UNIVERSITY THAT IS POLITICALLY IDENTIFIABLE IS 228 00:13:06,000 --> 00:13:12,000 >> POLITICS SHOULD BE STUDIED AT A UNIVERSITY. ANY UNIVERSITY THAT IS POLITICALLY IDENTIFIABLE IS 229 00:13:12,000 --> 00:13:14,059 >> POLITICS SHOULD BE STUDIED AT A UNIVERSITY. ANY UNIVERSITY THAT IS POLITICALLY IDENTIFIABLE IS 230 00:13:14,126 --> 00:13:18,000 NOT -- >> ARE YOU GOING TO BE TOO DEPENDENT TO DONORS. WE'VE SEEN AT SOME CAMPUSES, 231 00:13:18,000 --> 00:13:21,367 NOT -- >> ARE YOU GOING TO BE TOO DEPENDENT TO DONORS. WE'VE SEEN AT SOME CAMPUSES, 232 00:13:21,433 --> 00:13:24,000 DONORS ARE DISSATISFIED. >> IF DONORS ARE -- >> AND THE BACKERS AREN'T SOLELY FROM THE RIGHT. 233 00:13:24,000 --> 00:13:30,000 DONORS ARE DISSATISFIED. >> IF DONORS ARE -- >> AND THE BACKERS AREN'T SOLELY FROM THE RIGHT. 234 00:13:30,000 --> 00:13:31,510 DONORS ARE DISSATISFIED. >> IF DONORS ARE -- >> AND THE BACKERS AREN'T SOLELY FROM THE RIGHT. 235 00:13:31,577 --> 00:13:36,000 A LIBERAL, NAY ZEEN STROSSEN, WAS PRESIDENT -- IS NOW UATX ADVISER. >> THE MOST IMPORTANT TOPICS OF 236 00:13:36,000 --> 00:13:41,820 A LIBERAL, NAY ZEEN STROSSEN, WAS PRESIDENT -- IS NOW UATX ADVISER. >> THE MOST IMPORTANT TOPICS OF 237 00:13:41,887 --> 00:13:42,000 PUBLIC POLICY DEBATE ARE NOT BEING CANDIDLY AND FRANKLY DISCUSSED ON CAMPUS, INCLUDING ABORTION, IMMIGRATION, POLICE 238 00:13:42,000 --> 00:13:48,000 PUBLIC POLICY DEBATE ARE NOT BEING CANDIDLY AND FRANKLY DISCUSSED ON CAMPUS, INCLUDING ABORTION, IMMIGRATION, POLICE 239 00:13:48,000 --> 00:13:49,562 PUBLIC POLICY DEBATE ARE NOT BEING CANDIDLY AND FRANKLY DISCUSSED ON CAMPUS, INCLUDING ABORTION, IMMIGRATION, POLICE 240 00:13:49,628 --> 00:13:54,000 PRACTICE, ANYTHING TO DO WITH RACE AND GENDER. >> PROVIDED IT COMES WITH NO SERIOUS HARM, STROSSEN ARGUES 241 00:13:54,000 --> 00:13:55,734 PRACTICE, ANYTHING TO DO WITH RACE AND GENDER. >> PROVIDED IT COMES WITH NO SERIOUS HARM, STROSSEN ARGUES 242 00:13:55,801 --> 00:14:00,000 ALL SPEECH SHOULD BE ALLOWED. >> YOU THINK CENSORSHIP LEADS TO WORSE OUTCOMES THAN ALLOWING EVEN THE MOST OBJECTIVELY 243 00:14:00,000 --> 00:14:04,043 ALL SPEECH SHOULD BE ALLOWED. >> YOU THINK CENSORSHIP LEADS TO WORSE OUTCOMES THAN ALLOWING EVEN THE MOST OBJECTIVELY 244 00:14:04,109 --> 00:14:06,000 HATEFUL SPEECH. >> MY CONCERN IS TO TRY TO ELIMINATE THE UNDERLYING DISCRIMINATORY ATTITUDES. 245 00:14:06,000 --> 00:14:11,584 HATEFUL SPEECH. >> MY CONCERN IS TO TRY TO ELIMINATE THE UNDERLYING DISCRIMINATORY ATTITUDES. 246 00:14:11,650 --> 00:14:12,000 YOU DON'T DO THAT BY PUNISHING EXPRESSION. YOU DO THAT THROUGH EDUCATION, THROUGH MORE SPEECH, NOT LESS. 247 00:14:12,000 --> 00:14:18,000 YOU DON'T DO THAT BY PUNISHING EXPRESSION. YOU DO THAT THROUGH EDUCATION, THROUGH MORE SPEECH, NOT LESS. 248 00:14:18,000 --> 00:14:19,491 YOU DON'T DO THAT BY PUNISHING EXPRESSION. YOU DO THAT THROUGH EDUCATION, THROUGH MORE SPEECH, NOT LESS. 249 00:14:19,558 --> 00:14:24,000 >> FREE RANGE FREE SPEECH RESONATED. WHEN UATX ANNOUNCED ITS FOUNDING, THOUSANDS SENT IN JOB 250 00:14:24,000 --> 00:14:30,000 >> FREE RANGE FREE SPEECH RESONATED. WHEN UATX ANNOUNCED ITS FOUNDING, THOUSANDS SENT IN JOB 251 00:14:30,000 --> 00:14:30,769 >> FREE RANGE FREE SPEECH RESONATED. WHEN UATX ANNOUNCED ITS FOUNDING, THOUSANDS SENT IN JOB 252 00:14:30,836 --> 00:14:36,000 INQUIRY INQUIRES. SOME WERE DISCIPLINED, CANCELED THEY MAY SAY, AT THEIR PREVIOUS 253 00:14:36,000 --> 00:14:36,775 INQUIRY INQUIRES. SOME WERE DISCIPLINED, CANCELED THEY MAY SAY, AT THEIR PREVIOUS 254 00:14:36,842 --> 00:14:42,000 SCHOOLS. >> SOME FACULTY CAME HERE UNDER CLOUDS OF CONTROVERSY. >> MANY OF THE PEOPLE WHO ARE 255 00:14:42,000 --> 00:14:47,219 SCHOOLS. >> SOME FACULTY CAME HERE UNDER CLOUDS OF CONTROVERSY. >> MANY OF THE PEOPLE WHO ARE 256 00:14:47,286 --> 00:14:48,000 PUSHING BOUNDARIES IN ACADEMIC CULTURE, LET'S SAY IN THE PUBLIC SPHERE, HAVE PAID A PRICE FOR THAT AND STILL SHOULD BE HEARD. 257 00:14:48,000 --> 00:14:54,000 PUSHING BOUNDARIES IN ACADEMIC CULTURE, LET'S SAY IN THE PUBLIC SPHERE, HAVE PAID A PRICE FOR THAT AND STILL SHOULD BE HEARD. 258 00:14:54,000 --> 00:14:55,060 PUSHING BOUNDARIES IN ACADEMIC CULTURE, LET'S SAY IN THE PUBLIC SPHERE, HAVE PAID A PRICE FOR THAT AND STILL SHOULD BE HEARD. 259 00:14:55,127 --> 00:15:00,000 >> UATX'S NATIONAL ACCREDITATION WON'T BE DECIDED UNTIL THE FIRST CLASS HAS GRADUATED, THE STANDARD FOR NEW UNIVERSITIES. 260 00:15:00,000 --> 00:15:04,103 >> UATX'S NATIONAL ACCREDITATION WON'T BE DECIDED UNTIL THE FIRST CLASS HAS GRADUATED, THE STANDARD FOR NEW UNIVERSITIES. 261 00:15:04,169 --> 00:15:06,000 MEANWHILE, APPLICATIONS ARE OPEN FOR THE SECOND CLASS. TUITION STILL FREE, SO IS THE SPEECH. 262 00:15:06,000 --> 00:15:10,009 MEANWHILE, APPLICATIONS ARE OPEN FOR THE SECOND CLASS. TUITION STILL FREE, SO IS THE SPEECH. 263 00:15:10,075 --> 00:15:12,000 [ STOPWATCH TICKING ] >>> THE FAMILIAR NARRATIVE IS THAT ARTIFICIAL INTELLGENCE WILL TAKE AWAY HUMAN JOBS. 264 00:15:12,000 --> 00:15:18,000 [ STOPWATCH TICKING ] >>> THE FAMILIAR NARRATIVE IS THAT ARTIFICIAL INTELLGENCE WILL TAKE AWAY HUMAN JOBS. 265 00:15:18,000 --> 00:15:24,000 [ STOPWATCH TICKING ] >>> THE FAMILIAR NARRATIVE IS THAT ARTIFICIAL INTELLGENCE WILL TAKE AWAY HUMAN JOBS. 266 00:15:24,000 --> 00:15:24,223 [ STOPWATCH TICKING ] >>> THE FAMILIAR NARRATIVE IS THAT ARTIFICIAL INTELLGENCE WILL TAKE AWAY HUMAN JOBS. 267 00:15:24,290 --> 00:15:30,000 MACHINE LEARNING WILL LET CARS, COMPUTERS, AND CHATBOTS TEACH THEMSELVES, MAKING US HUMANS OBSOLETE. 268 00:15:30,000 --> 00:15:32,097 MACHINE LEARNING WILL LET CARS, COMPUTERS, AND CHATBOTS TEACH THEMSELVES, MAKING US HUMANS OBSOLETE. 269 00:15:32,164 --> 00:15:36,000 WELL, THAT'S NOT VERY LIKELY, AND WE'RE GOING TO TELL YOU WHY. THERE'S A GROWING GLOBAL ARMY OF MILLIONS TOILING TO MAKE A.I. 270 00:15:36,000 --> 00:15:40,973 WELL, THAT'S NOT VERY LIKELY, AND WE'RE GOING TO TELL YOU WHY. THERE'S A GROWING GLOBAL ARMY OF MILLIONS TOILING TO MAKE A.I. 271 00:15:41,040 --> 00:15:42,000 RUN SMOOTHLY. THEY'RE CALLED HUMANS IN THE LOOP, PEOPLE SORTING, LABELLING, AND SIFTING REAMS OF DATA TO 272 00:15:42,000 --> 00:15:48,000 RUN SMOOTHLY. THEY'RE CALLED HUMANS IN THE LOOP, PEOPLE SORTING, LABELLING, AND SIFTING REAMS OF DATA TO 273 00:15:48,000 --> 00:15:49,448 RUN SMOOTHLY. THEY'RE CALLED HUMANS IN THE LOOP, PEOPLE SORTING, LABELLING, AND SIFTING REAMS OF DATA TO 274 00:15:49,515 --> 00:15:54,000 TRAIN AND IMPROVE A.I. FOR COMPANIES LIKE META, OPENAI, MICROSOFT, AND GOOGLE. IT'S GRUNT WORK THAT NEEDS TO BE 275 00:15:54,000 --> 00:15:58,691 TRAIN AND IMPROVE A.I. FOR COMPANIES LIKE META, OPENAI, MICROSOFT, AND GOOGLE. IT'S GRUNT WORK THAT NEEDS TO BE 276 00:15:58,757 --> 00:16:00,000 DONE ACCURATELY, FAST, AND TO DO IT CHEAPLY, IT'S OFTEN FARMED OUT TO PLACES LIKE AFRICA. >> THE MACHINES, YOU ARE 277 00:16:00,000 --> 00:16:06,000 DONE ACCURATELY, FAST, AND TO DO IT CHEAPLY, IT'S OFTEN FARMED OUT TO PLACES LIKE AFRICA. >> THE MACHINES, YOU ARE 278 00:16:06,000 --> 00:16:12,000 DONE ACCURATELY, FAST, AND TO DO IT CHEAPLY, IT'S OFTEN FARMED OUT TO PLACES LIKE AFRICA. >> THE MACHINES, YOU ARE 279 00:16:12,000 --> 00:16:13,005 DONE ACCURATELY, FAST, AND TO DO IT CHEAPLY, IT'S OFTEN FARMED OUT TO PLACES LIKE AFRICA. >> THE MACHINES, YOU ARE 280 00:16:13,072 --> 00:16:18,000 TEACHING THEM TO THINK LIKE HUMAN AND DO THINGS LIKE HUMAN. >> WE MET NAFTALI WAMBALO IN NAIROBI, KENYA. 281 00:16:18,000 --> 00:16:22,648 TEACHING THEM TO THINK LIKE HUMAN AND DO THINGS LIKE HUMAN. >> WE MET NAFTALI WAMBALO IN NAIROBI, KENYA. 282 00:16:22,715 --> 00:16:24,000 IT'S A COUNTRY DESPERATE FOR JOBS BECAUSE OF AN UNEMPLOYMENT RATE AS HIGH AS 67% AMONG YOUNG PEOPLE. 283 00:16:24,000 --> 00:16:30,000 IT'S A COUNTRY DESPERATE FOR JOBS BECAUSE OF AN UNEMPLOYMENT RATE AS HIGH AS 67% AMONG YOUNG PEOPLE. 284 00:16:30,000 --> 00:16:30,656 IT'S A COUNTRY DESPERATE FOR JOBS BECAUSE OF AN UNEMPLOYMENT RATE AS HIGH AS 67% AMONG YOUNG PEOPLE. 285 00:16:30,723 --> 00:16:36,000 SO, NAFTALI, FATHER OF TWO, COLLEGE EDUCATED, WITH A DEGREE IN MATHEMATICS BUT ELATED TO FINALLY FIND WORK IN AN EMERGING 286 00:16:36,000 --> 00:16:39,365 SO, NAFTALI, FATHER OF TWO, COLLEGE EDUCATED, WITH A DEGREE IN MATHEMATICS BUT ELATED TO FINALLY FIND WORK IN AN EMERGING 287 00:16:39,431 --> 00:16:42,000 FIELD, ARTIFICIAL INTELLIGENCE. >> YOU WERE LABELLING. >> I DID LABELLING FOR VIDEOS AND IMAGES. 288 00:16:42,000 --> 00:16:45,304 FIELD, ARTIFICIAL INTELLIGENCE. >> YOU WERE LABELLING. >> I DID LABELLING FOR VIDEOS AND IMAGES. 289 00:16:45,371 --> 00:16:48,000 >> NAFTALI AND DIGITAL WORKERS LIKE HIM SPENT EIGHT HOURS A DAY IN FRONT OF A SCREEN STUDYING PHOTOS AND VIDEOS, DRAWING BOXES 290 00:16:48,000 --> 00:16:54,000 >> NAFTALI AND DIGITAL WORKERS LIKE HIM SPENT EIGHT HOURS A DAY IN FRONT OF A SCREEN STUDYING PHOTOS AND VIDEOS, DRAWING BOXES 291 00:16:54,000 --> 00:16:55,114 >> NAFTALI AND DIGITAL WORKERS LIKE HIM SPENT EIGHT HOURS A DAY IN FRONT OF A SCREEN STUDYING PHOTOS AND VIDEOS, DRAWING BOXES 292 00:16:55,180 --> 00:17:00,000 AROUND OBJECTS AND LABELLING THEM, TEACHING THE A.I. ALGORITHMS TO RECOGNIZE THEM. >> YOU LABEL FURNITURE IN A 293 00:17:00,000 --> 00:17:04,590 AROUND OBJECTS AND LABELLING THEM, TEACHING THE A.I. ALGORITHMS TO RECOGNIZE THEM. >> YOU LABEL FURNITURE IN A 294 00:17:04,656 --> 00:17:06,000 HOUSE AND YOU SAY, THIS IS A TV. THIS IS A MICROWAVE. SO, YOU ARE TEACHING THE A.I. TO IDENTIFY THESE ITEMS. 295 00:17:06,000 --> 00:17:12,000 HOUSE AND YOU SAY, THIS IS A TV. THIS IS A MICROWAVE. SO, YOU ARE TEACHING THE A.I. TO IDENTIFY THESE ITEMS. 296 00:17:12,000 --> 00:17:13,699 HOUSE AND YOU SAY, THIS IS A TV. THIS IS A MICROWAVE. SO, YOU ARE TEACHING THE A.I. TO IDENTIFY THESE ITEMS. 297 00:17:13,766 --> 00:17:18,000 AND THERE IS ONE FOR FACES OF PEOPLE, THE COLOR OF THE FACE. IF IT LOOKS LIKE THIS IS WHITE, THIS IS BLACK, THIS IS ASIAN, WE 298 00:17:18,000 --> 00:17:21,573 AND THERE IS ONE FOR FACES OF PEOPLE, THE COLOR OF THE FACE. IF IT LOOKS LIKE THIS IS WHITE, THIS IS BLACK, THIS IS ASIAN, WE 299 00:17:21,640 --> 00:17:24,000 ARE TEACHING THE A.I. TO IDENTIFY THEM AUTOMATICALLY. >> HUMANS TAG CARS AND PEDESTRIANS TO TEACH AUTONOMOUS 300 00:17:24,000 --> 00:17:28,714 ARE TEACHING THE A.I. TO IDENTIFY THEM AUTOMATICALLY. >> HUMANS TAG CARS AND PEDESTRIANS TO TEACH AUTONOMOUS 301 00:17:28,781 --> 00:17:30,000 VEHICLES NOT TO HIT THEM. HUMANS CIRCLE ABNORMALITIES TO TEACH A.I. TO RECOGNIZE DISEASES. 302 00:17:30,000 --> 00:17:36,000 VEHICLES NOT TO HIT THEM. HUMANS CIRCLE ABNORMALITIES TO TEACH A.I. TO RECOGNIZE DISEASES. 303 00:17:36,000 --> 00:17:36,388 VEHICLES NOT TO HIT THEM. HUMANS CIRCLE ABNORMALITIES TO TEACH A.I. TO RECOGNIZE DISEASES. 304 00:17:36,455 --> 00:17:42,000 EVEN AS A.I. IS GETTING SMARTER, HUMANS IN THE LOOP WILL ALWAYS BE NEEDED BECAUSE THERE WILL ALWAYS BE NEW DEVICES AND 305 00:17:42,000 --> 00:17:46,632 EVEN AS A.I. IS GETTING SMARTER, HUMANS IN THE LOOP WILL ALWAYS BE NEEDED BECAUSE THERE WILL ALWAYS BE NEW DEVICES AND 306 00:17:46,698 --> 00:17:48,000 INVENTIONS THAT NEED LABELLING. YOU FIND THESE HUMANS IN THE LOOP NOT ONLY HERE IN KENYA BUT IN OTHER COUNTRIES THOUSANDS OF 307 00:17:48,000 --> 00:17:53,405 INVENTIONS THAT NEED LABELLING. YOU FIND THESE HUMANS IN THE LOOP NOT ONLY HERE IN KENYA BUT IN OTHER COUNTRIES THOUSANDS OF 308 00:17:53,472 --> 00:17:54,000 MILES FROM SILICON VALLEY. IN INDIA, THE PHILIPPINES, VENEZUELA. OFTEN COUNTRIES WILL LARGE 309 00:17:54,000 --> 00:18:00,000 MILES FROM SILICON VALLEY. IN INDIA, THE PHILIPPINES, VENEZUELA. OFTEN COUNTRIES WILL LARGE 310 00:18:00,000 --> 00:18:02,080 MILES FROM SILICON VALLEY. IN INDIA, THE PHILIPPINES, VENEZUELA. OFTEN COUNTRIES WILL LARGE 311 00:18:02,147 --> 00:18:06,000 LOW-WAGE POPULATIONS, WELL EDUCATED BUT UNEMPLOYED. >> IT'S LIKE MODERN DAY SLAVERY BECAUSE IT'S CHEAP LABOR. 312 00:18:06,000 --> 00:18:12,000 LOW-WAGE POPULATIONS, WELL EDUCATED BUT UNEMPLOYED. >> IT'S LIKE MODERN DAY SLAVERY BECAUSE IT'S CHEAP LABOR. 313 00:18:12,000 --> 00:18:13,892 LOW-WAGE POPULATIONS, WELL EDUCATED BUT UNEMPLOYED. >> IT'S LIKE MODERN DAY SLAVERY BECAUSE IT'S CHEAP LABOR. 314 00:18:13,959 --> 00:18:18,000 >> LIKE MODERN DAY SLAVERY, SAYS NERIMA WAKO-OJIMA. BECAUSE BIG TECH COMPANIES COME HERE AND ADVERTISE THE JOBS AS A 315 00:18:18,000 --> 00:18:24,000 >> LIKE MODERN DAY SLAVERY, SAYS NERIMA WAKO-OJIMA. BECAUSE BIG TECH COMPANIES COME HERE AND ADVERTISE THE JOBS AS A 316 00:18:24,000 --> 00:18:24,036 >> LIKE MODERN DAY SLAVERY, SAYS NERIMA WAKO-OJIMA. BECAUSE BIG TECH COMPANIES COME HERE AND ADVERTISE THE JOBS AS A 317 00:18:24,102 --> 00:18:30,000 TICKET TO THE FUTURE, BUT REALLY, SHE SAYS, IT'S EXPLOITATION. >> WHAT WE'RE SEEING IS AN 318 00:18:30,000 --> 00:18:32,277 TICKET TO THE FUTURE, BUT REALLY, SHE SAYS, IT'S EXPLOITATION. >> WHAT WE'RE SEEING IS AN 319 00:18:32,344 --> 00:18:36,000 INEQUALITY. >> IT SOUNDS SO GOOD, AN A.I. JOB. IS THERE JOB SECURITY? 320 00:18:36,000 --> 00:18:42,000 INEQUALITY. >> IT SOUNDS SO GOOD, AN A.I. JOB. IS THERE JOB SECURITY? 321 00:18:42,000 --> 00:18:42,521 INEQUALITY. >> IT SOUNDS SO GOOD, AN A.I. JOB. IS THERE JOB SECURITY? 322 00:18:42,588 --> 00:18:48,000 >> THE CONTRACTS WE'VE SEEN ARE VERY SHORT TERM. I'VE SEEN PEOPLE WITH CONTRACTS THAT ARE MONTHLY, SOME OF THEM 323 00:18:48,000 --> 00:18:49,795 >> THE CONTRACTS WE'VE SEEN ARE VERY SHORT TERM. I'VE SEEN PEOPLE WITH CONTRACTS THAT ARE MONTHLY, SOME OF THEM 324 00:18:49,862 --> 00:18:54,000 WEEKLY, SOME OF THEM DAYS, WHICH IS RIDICULOUS. >> SHE CALLS THE WORKSPACES A.I. SWEATSHOPS WITH COMPUTERS 325 00:18:54,000 --> 00:18:57,436 WEEKLY, SOME OF THEM DAYS, WHICH IS RIDICULOUS. >> SHE CALLS THE WORKSPACES A.I. SWEATSHOPS WITH COMPUTERS 326 00:18:57,503 --> 00:19:00,000 INSTOIND INSTEAD OF SEWING MACHINES. >> I THINK WE'RE SO CONCERNED WITH CREATING OPPORTUNITIES BUT 327 00:19:00,000 --> 00:19:04,009 INSTOIND INSTEAD OF SEWING MACHINES. >> I THINK WE'RE SO CONCERNED WITH CREATING OPPORTUNITIES BUT 328 00:19:04,076 --> 00:19:06,000 WE'RE NOT ASKING ARE THEY GOOD OPPORTUNITIES? >> BECAUSE EVERY YEAR A MILLION YOUNG PEOPLE ENTER THE JOB 329 00:19:06,000 --> 00:19:12,000 WE'RE NOT ASKING ARE THEY GOOD OPPORTUNITIES? >> BECAUSE EVERY YEAR A MILLION YOUNG PEOPLE ENTER THE JOB 330 00:19:12,000 --> 00:19:12,985 WE'RE NOT ASKING ARE THEY GOOD OPPORTUNITIES? >> BECAUSE EVERY YEAR A MILLION YOUNG PEOPLE ENTER THE JOB 331 00:19:13,051 --> 00:19:18,000 MARKET, THE GOVERNMENT HAS BEEN COURTING TECH GIANTS LIKE MICROSOFT, GOOGLE, APPLE, AND INTEL TO COME HERE, PROMOTING 332 00:19:18,000 --> 00:19:22,060 MARKET, THE GOVERNMENT HAS BEEN COURTING TECH GIANTS LIKE MICROSOFT, GOOGLE, APPLE, AND INTEL TO COME HERE, PROMOTING 333 00:19:22,127 --> 00:19:24,000 KENYA'S REPUTATION AS THE SILICON SAVANNAH, TECH SAVVY AND DIGITALLY CONNECTED. >> THE PRESIDENT HAS BEEN REALLY 334 00:19:24,000 --> 00:19:30,000 KENYA'S REPUTATION AS THE SILICON SAVANNAH, TECH SAVVY AND DIGITALLY CONNECTED. >> THE PRESIDENT HAS BEEN REALLY 335 00:19:30,000 --> 00:19:31,069 KENYA'S REPUTATION AS THE SILICON SAVANNAH, TECH SAVVY AND DIGITALLY CONNECTED. >> THE PRESIDENT HAS BEEN REALLY 336 00:19:31,136 --> 00:19:35,007 PUSHING FOR OPPORTUNITIES IN A.I. >> THE PRESIDENT? >> PRESIDENT RUTO. 337 00:19:35,073 --> 00:19:36,000 THE PRESIDENT DOES HAVE TO CREATE AT LEAST 1 MILLION JOBS A YEAR, THE MINIMUM. SO, IT'S A VERY TIGHT POSITION 338 00:19:36,000 --> 00:19:41,213 THE PRESIDENT DOES HAVE TO CREATE AT LEAST 1 MILLION JOBS A YEAR, THE MINIMUM. SO, IT'S A VERY TIGHT POSITION 339 00:19:41,280 --> 00:19:42,000 TO BE IN. >> TO LURE THE TECH GIANTS, RUTO HAS BEEN OFFERING FINANCIAL INCENTIVES ON TOP OF ALREADY LAX 340 00:19:42,000 --> 00:19:48,000 TO BE IN. >> TO LURE THE TECH GIANTS, RUTO HAS BEEN OFFERING FINANCIAL INCENTIVES ON TOP OF ALREADY LAX 341 00:19:48,000 --> 00:19:48,754 TO BE IN. >> TO LURE THE TECH GIANTS, RUTO HAS BEEN OFFERING FINANCIAL INCENTIVES ON TOP OF ALREADY LAX 342 00:19:48,820 --> 00:19:54,000 LABOR LAWS. BUT THE WORKERS AREN'T HIRED DIRECTLY BY THE BIG COMPANIES. THEY ENGAGE OUTSOURCING FIRMS, 343 00:19:54,000 --> 00:19:58,397 LABOR LAWS. BUT THE WORKERS AREN'T HIRED DIRECTLY BY THE BIG COMPANIES. THEY ENGAGE OUTSOURCING FIRMS, 344 00:19:58,463 --> 00:20:00,000 ALSO MOSTLY AMERICAN, TO HIRE FOR THEM. >> THERE'S A GO-BETWEEN. >> YES. 345 00:20:00,000 --> 00:20:02,901 ALSO MOSTLY AMERICAN, TO HIRE FOR THEM. >> THERE'S A GO-BETWEEN. >> YES. 346 00:20:02,968 --> 00:20:06,000 >> THEY HIRE, THEY PAY. >> MM-HMM. THEY HIRE THOUSANDS OF PEOPLE. >> AND THEY ARE PROTECTING THE 347 00:20:06,000 --> 00:20:10,008 >> THEY HIRE, THEY PAY. >> MM-HMM. THEY HIRE THOUSANDS OF PEOPLE. >> AND THEY ARE PROTECTING THE 348 00:20:10,075 --> 00:20:12,000 FACEBOOKS FROM HAVING THEIR NAMES ASSOCIATED WITH THIS. >> YES, YES, YES. >> WE'RE TALKING ABOUT THE 349 00:20:12,000 --> 00:20:14,546 FACEBOOKS FROM HAVING THEIR NAMES ASSOCIATED WITH THIS. >> YES, YES, YES. >> WE'RE TALKING ABOUT THE 350 00:20:14,613 --> 00:20:18,000 RICHEST COMPANIES ON EARTH. >> YES. BUT THEN THEY PAY PEOPLE PEANUTS. 351 00:20:18,000 --> 00:20:20,419 RICHEST COMPANIES ON EARTH. >> YES. BUT THEN THEY PAY PEOPLE PEANUTS. 352 00:20:20,485 --> 00:20:24,000 >> A.I. JOBS DON'T PAY MUCH? >> THEY DON'T PAY WELL. THEY DO NOT PLAY AFRICANS ENOUGH. 353 00:20:24,000 --> 00:20:30,000 >> A.I. JOBS DON'T PAY MUCH? >> THEY DON'T PAY WELL. THEY DO NOT PLAY AFRICANS ENOUGH. 354 00:20:30,000 --> 00:20:32,864 >> A.I. JOBS DON'T PAY MUCH? >> THEY DON'T PAY WELL. THEY DO NOT PLAY AFRICANS ENOUGH. 355 00:20:32,931 --> 00:20:36,000 THE WORKFORCE IS SO LARGE AND DESPERATE, THEY COULD PAY WHATEVER AND HAVE WHATEVER WORKING CONDITIONS AND THEY WILL 356 00:20:36,000 --> 00:20:39,271 THE WORKFORCE IS SO LARGE AND DESPERATE, THEY COULD PAY WHATEVER AND HAVE WHATEVER WORKING CONDITIONS AND THEY WILL 357 00:20:39,338 --> 00:20:42,000 HAVE SOMEONE WHO WOULD PICK UP THAT JOB? >> WHAT'S THE AVERAGE PAY OF THESE JOBS? 358 00:20:42,000 --> 00:20:44,977 HAVE SOMEONE WHO WOULD PICK UP THAT JOB? >> WHAT'S THE AVERAGE PAY OF THESE JOBS? 359 00:20:45,043 --> 00:20:48,000 >> ABOUT $1.50 TO $2 AN HOUR. >> NAFTALI, AND FASICA -- HIRED BY SAMA AND HIRED FOR META AND OPEN A.I. 360 00:20:48,000 --> 00:20:54,000 >> ABOUT $1.50 TO $2 AN HOUR. >> NAFTALI, AND FASICA -- HIRED BY SAMA AND HIRED FOR META AND OPEN A.I. 361 00:20:54,000 --> 00:21:00,000 >> ABOUT $1.50 TO $2 AN HOUR. >> NAFTALI, AND FASICA -- HIRED BY SAMA AND HIRED FOR META AND OPEN A.I. 362 00:21:00,000 --> 00:21:02,494 >> ABOUT $1.50 TO $2 AN HOUR. >> NAFTALI, AND FASICA -- HIRED BY SAMA AND HIRED FOR META AND OPEN A.I. 363 00:21:02,561 --> 00:21:06,000 IN DOCUMENTS WE OBTAINED, OPENAI AGREED TO PAY SAMA $12.50 PER WORKER, MUCH MORE THAN THE $2 THE WORKERS ACTUALLY GOT. 364 00:21:06,000 --> 00:21:12,000 IN DOCUMENTS WE OBTAINED, OPENAI AGREED TO PAY SAMA $12.50 PER WORKER, MUCH MORE THAN THE $2 THE WORKERS ACTUALLY GOT. 365 00:21:12,000 --> 00:21:15,841 IN DOCUMENTS WE OBTAINED, OPENAI AGREED TO PAY SAMA $12.50 PER WORKER, MUCH MORE THAN THE $2 THE WORKERS ACTUALLY GOT. 366 00:21:15,907 --> 00:21:18,000 THOUGH SAMA SAYS THAT'S A FAIR WAGE FOR THE REGION. >> IF THE BIG TECH COMPANIES ARE GOING TO KEEP DOING THIS 367 00:21:18,000 --> 00:21:21,580 THOUGH SAMA SAYS THAT'S A FAIR WAGE FOR THE REGION. >> IF THE BIG TECH COMPANIES ARE GOING TO KEEP DOING THIS 368 00:21:21,647 --> 00:21:24,000 BUSINESS, THEY HAVE TO DO IT THE RIGHT WAY. SO, IT'S NOT BECAUSE YOU REALIZE -- THIS JOB -- BECAUSE 369 00:21:24,000 --> 00:21:30,000 BUSINESS, THEY HAVE TO DO IT THE RIGHT WAY. SO, IT'S NOT BECAUSE YOU REALIZE -- THIS JOB -- BECAUSE 370 00:21:30,000 --> 00:21:30,989 BUSINESS, THEY HAVE TO DO IT THE RIGHT WAY. SO, IT'S NOT BECAUSE YOU REALIZE -- THIS JOB -- BECAUSE 371 00:21:31,056 --> 00:21:36,000 YOU ARE KENYAN, $2 IS ENOUGH FOR YOU. >> OKAY. $2 AN HOUR IN KENYA, IS THAT 372 00:21:36,000 --> 00:21:37,529 YOU ARE KENYAN, $2 IS ENOUGH FOR YOU. >> OKAY. $2 AN HOUR IN KENYA, IS THAT 373 00:21:37,596 --> 00:21:42,000 LOW, MEDIUM? IS IT AN OKAY SALARY? >> SO, FOR ME, I WAS LIVING PAYCHECK TO PAYCHECK. 374 00:21:42,000 --> 00:21:43,669 LOW, MEDIUM? IS IT AN OKAY SALARY? >> SO, FOR ME, I WAS LIVING PAYCHECK TO PAYCHECK. 375 00:21:43,735 --> 00:21:48,000 I HAVE SAVED NOTHING BECAUSE IT'S NOT ENOUGH. >> IS IT AN INSULT? >> IT IS. 376 00:21:48,000 --> 00:21:52,177 I HAVE SAVED NOTHING BECAUSE IT'S NOT ENOUGH. >> IS IT AN INSULT? >> IT IS. 377 00:21:52,244 --> 00:21:54,000 >> WHY DID YOU TAKE THE JOB? >> I HAD A FAMILY TO FEED. AND INSTEAD OF STAYING HOME, LET ME JUST AT LEAST HAVE SOMETHING 378 00:21:54,000 --> 00:21:58,483 >> WHY DID YOU TAKE THE JOB? >> I HAD A FAMILY TO FEED. AND INSTEAD OF STAYING HOME, LET ME JUST AT LEAST HAVE SOMETHING 379 00:21:58,550 --> 00:22:00,000 TO DO. >> AND NOT ONLY DO THE JOBS NOT PAY WELL, THEY WERE DRAINING. THEY SAY DEADLINES WERE 380 00:22:00,000 --> 00:22:06,000 TO DO. >> AND NOT ONLY DO THE JOBS NOT PAY WELL, THEY WERE DRAINING. THEY SAY DEADLINES WERE 381 00:22:06,000 --> 00:22:06,391 TO DO. >> AND NOT ONLY DO THE JOBS NOT PAY WELL, THEY WERE DRAINING. THEY SAY DEADLINES WERE 382 00:22:06,458 --> 00:22:12,000 UNREALISTIC, PUNITIVE, WITH OFTEN JUST SECONDS TO COMPLETE COMPLICATED LABELLING TASKS. >> DID YOU SEE PEOPLE WHO WERE 383 00:22:12,000 --> 00:22:13,699 UNREALISTIC, PUNITIVE, WITH OFTEN JUST SECONDS TO COMPLETE COMPLICATED LABELLING TASKS. >> DID YOU SEE PEOPLE WHO WERE 384 00:22:13,765 --> 00:22:18,000 FIRED JUST BECAUSE THEY COMPLAINED? >> YES. WE WERE WALKING ON EGG SHELLS. 385 00:22:18,000 --> 00:22:19,171 FIRED JUST BECAUSE THEY COMPLAINED? >> YES. WE WERE WALKING ON EGG SHELLS. 386 00:22:19,237 --> 00:22:24,000 >> THEY WERE ALL HIRED PER PROJECT AND SAY SAMA KEPT PUSHING THEM TO COMPLETE THE WORK FASTER THAN THE PROJECTS 387 00:22:24,000 --> 00:22:27,045 >> THEY WERE ALL HIRED PER PROJECT AND SAY SAMA KEPT PUSHING THEM TO COMPLETE THE WORK FASTER THAN THE PROJECTS 388 00:22:27,112 --> 00:22:30,000 REQUIRED, AN ALLEGATION SAMA DENIES. >> LET'S SAY THE CONTRACT FOR A CERTAIN JOB WAS 6 MONTHS. 389 00:22:30,000 --> 00:22:35,353 REQUIRED, AN ALLEGATION SAMA DENIES. >> LET'S SAY THE CONTRACT FOR A CERTAIN JOB WAS 6 MONTHS. 390 00:22:35,420 --> 00:22:36,000 WHAT IF YOU FINISHED IN THREE MONTHS? DOES THE WORKER GET PAID FOR THOSE EXTRA THREE MONTHS? 391 00:22:36,000 --> 00:22:41,126 WHAT IF YOU FINISHED IN THREE MONTHS? DOES THE WORKER GET PAID FOR THOSE EXTRA THREE MONTHS? 392 00:22:41,193 --> 00:22:42,000 >> NO. >> KFC. >> WHAT? >> THEY WOULD PAY US IN KFC AND 393 00:22:42,000 --> 00:22:48,000 >> NO. >> KFC. >> WHAT? >> THEY WOULD PAY US IN KFC AND 394 00:22:48,000 --> 00:22:54,000 >> NO. >> KFC. >> WHAT? >> THEY WOULD PAY US IN KFC AND 395 00:22:54,000 --> 00:22:55,574 >> NO. >> KFC. >> WHAT? >> THEY WOULD PAY US IN KFC AND 396 00:22:55,640 --> 00:23:00,000 COCA-COLA. >> WORSE YET, WORKERS TOLD US SOME OF THE PROJECTS FROM META AND OPENAI WERE GRIM AND CAUSED 397 00:23:00,000 --> 00:23:01,613 COCA-COLA. >> WORSE YET, WORKERS TOLD US SOME OF THE PROJECTS FROM META AND OPENAI WERE GRIM AND CAUSED 398 00:23:01,680 --> 00:23:06,000 THEM HARM. NAFTALI WAS ASSIGNED TO TRAIN A.I. TO RECOGNIZE AND WEED OUT PORNOGRAPHY, HATE SPEECH, AND 399 00:23:06,000 --> 00:23:09,688 THEM HARM. NAFTALI WAS ASSIGNED TO TRAIN A.I. TO RECOGNIZE AND WEED OUT PORNOGRAPHY, HATE SPEECH, AND 400 00:23:09,755 --> 00:23:12,000 EXCESSIVE VIOLENCE, WHICH MEANT SIFTING THROUGH THE WORST OF THE WORST CONTENT ONLINE FOR HOURS ON END. 401 00:23:12,000 --> 00:23:16,862 EXCESSIVE VIOLENCE, WHICH MEANT SIFTING THROUGH THE WORST OF THE WORST CONTENT ONLINE FOR HOURS ON END. 402 00:23:16,928 --> 00:23:18,000 >> I LOOKED AT PEOPLE BEING SLAUGHTERED, PEOPLE DOING SEXUAL ACTIVITY WITH ANIMALS, PEOPLE ABUSING CHILDREN, PHYSICALLY, 403 00:23:18,000 --> 00:23:24,000 >> I LOOKED AT PEOPLE BEING SLAUGHTERED, PEOPLE DOING SEXUAL ACTIVITY WITH ANIMALS, PEOPLE ABUSING CHILDREN, PHYSICALLY, 404 00:23:24,000 --> 00:23:29,341 >> I LOOKED AT PEOPLE BEING SLAUGHTERED, PEOPLE DOING SEXUAL ACTIVITY WITH ANIMALS, PEOPLE ABUSING CHILDREN, PHYSICALLY, 405 00:23:29,407 --> 00:23:30,000 SEXUALLY, PEOPLE COMMITTING SUICIDE. >> ALL DAY LONG? >> YES, ALL DAY LONG, EIGHT 406 00:23:30,000 --> 00:23:36,000 SEXUALLY, PEOPLE COMMITTING SUICIDE. >> ALL DAY LONG? >> YES, ALL DAY LONG, EIGHT 407 00:23:36,000 --> 00:23:37,783 SEXUALLY, PEOPLE COMMITTING SUICIDE. >> ALL DAY LONG? >> YES, ALL DAY LONG, EIGHT 408 00:23:37,849 --> 00:23:42,000 HOURS A DAY, 40 HOURS A WEEK. >> THE WORKERS TOLD US THEY WERE TRICKED INTO THIS WORK BY ADS LIKE THIS THAT DESCRIBE THESE 409 00:23:42,000 --> 00:23:45,891 HOURS A DAY, 40 HOURS A WEEK. >> THE WORKERS TOLD US THEY WERE TRICKED INTO THIS WORK BY ADS LIKE THIS THAT DESCRIBE THESE 410 00:23:45,957 --> 00:23:48,000 JOBS AS CALL CENTER AGENTS TO ASSIST OUR CLIENT'S COMMUNITY AND HELP RESOLVE INQUIRES EM PATHETICALLY. 411 00:23:48,000 --> 00:23:54,000 JOBS AS CALL CENTER AGENTS TO ASSIST OUR CLIENT'S COMMUNITY AND HELP RESOLVE INQUIRES EM PATHETICALLY. 412 00:23:54,000 --> 00:23:55,801 JOBS AS CALL CENTER AGENTS TO ASSIST OUR CLIENT'S COMMUNITY AND HELP RESOLVE INQUIRES EM PATHETICALLY. 413 00:23:55,867 --> 00:24:00,000 >> EXACTLY WHAT WAS THE JOB YOU WERE DOING? >> I WAS BASICALLY REVIEWING CONTENT WHICH ARE VERY GRAPHIC, 414 00:24:00,000 --> 00:24:01,907 >> EXACTLY WHAT WAS THE JOB YOU WERE DOING? >> I WAS BASICALLY REVIEWING CONTENT WHICH ARE VERY GRAPHIC, 415 00:24:01,973 --> 00:24:06,000 VERY DISTURBING CONTENT. I WAS WATCHING DISMEMBERED BODIES, ATTACK VICTIMS. YOU NAME IT. 416 00:24:06,000 --> 00:24:12,000 VERY DISTURBING CONTENT. I WAS WATCHING DISMEMBERED BODIES, ATTACK VICTIMS. YOU NAME IT. 417 00:24:12,000 --> 00:24:16,321 VERY DISTURBING CONTENT. I WAS WATCHING DISMEMBERED BODIES, ATTACK VICTIMS. YOU NAME IT. 418 00:24:16,388 --> 00:24:18,000 >> ARE ANY OF YOU A DIFFERENT PERSON THAN THEY WERE BEFORE YOU HAD THIS JOB? >> YEAH. 419 00:24:18,000 --> 00:24:22,194 >> ARE ANY OF YOU A DIFFERENT PERSON THAN THEY WERE BEFORE YOU HAD THIS JOB? >> YEAH. 420 00:24:22,260 --> 00:24:24,000 I FIND IT HARD NOW TO EVEN HAVE CONVERSATIONS WITH PEOPLE. IT'S JUST THAT I FIND IT'S EASIER TO CRY THAN TO SPEAK. 421 00:24:24,000 --> 00:24:30,000 I FIND IT HARD NOW TO EVEN HAVE CONVERSATIONS WITH PEOPLE. IT'S JUST THAT I FIND IT'S EASIER TO CRY THAN TO SPEAK. 422 00:24:30,000 --> 00:24:32,204 I FIND IT HARD NOW TO EVEN HAVE CONVERSATIONS WITH PEOPLE. IT'S JUST THAT I FIND IT'S EASIER TO CRY THAN TO SPEAK. 423 00:24:32,270 --> 00:24:36,000 >> YOU CONTINUE ISOLATING YOURSELF FROM PEOPLE. YOU DON'T WANT TO SOCIALIZE WITH OTHERS. 424 00:24:36,000 --> 00:24:37,509 >> YOU CONTINUE ISOLATING YOURSELF FROM PEOPLE. YOU DON'T WANT TO SOCIALIZE WITH OTHERS. 425 00:24:37,576 --> 00:24:42,000 IT'S YOU AND IT'S YOU ALONE. >> YOU ARE A DIFFERENT PERSON? >> YEAH, I'M A DIFFERENT PERSON. I USED TO ENJOY MY -- BUT AFTER 426 00:24:42,000 --> 00:24:48,000 IT'S YOU AND IT'S YOU ALONE. >> YOU ARE A DIFFERENT PERSON? >> YEAH, I'M A DIFFERENT PERSON. I USED TO ENJOY MY -- BUT AFTER 427 00:24:48,000 --> 00:24:48,420 IT'S YOU AND IT'S YOU ALONE. >> YOU ARE A DIFFERENT PERSON? >> YEAH, I'M A DIFFERENT PERSON. I USED TO ENJOY MY -- BUT AFTER 428 00:24:48,486 --> 00:24:54,000 THE JOB, I HATE SEX. >> YOU HATED SEX? >> AFTER COUNTLESSLY SEEING THE SEXUAL ACTIVITIES, PORNOGRAPHY 429 00:24:54,000 --> 00:24:56,494 THE JOB, I HATE SEX. >> YOU HATED SEX? >> AFTER COUNTLESSLY SEEING THE SEXUAL ACTIVITIES, PORNOGRAPHY 430 00:24:56,561 --> 00:25:00,000 ON THE JOB THAT I WAS DOING, I HATE SEX. >> SAMA SAYS MENTAL HEALTH COUNSELING WAS PROVIDED BY, 431 00:25:00,000 --> 00:25:03,969 ON THE JOB THAT I WAS DOING, I HATE SEX. >> SAMA SAYS MENTAL HEALTH COUNSELING WAS PROVIDED BY, 432 00:25:04,035 --> 00:25:06,000 QUOTE, FULLY LICENSED PROFESSIONALS. BUT THE WORKERS SAY IT WAS WOAHFULLY INADEQUATE. 433 00:25:06,000 --> 00:25:12,000 QUOTE, FULLY LICENSED PROFESSIONALS. BUT THE WORKERS SAY IT WAS WOAHFULLY INADEQUATE. 434 00:25:12,000 --> 00:25:13,311 QUOTE, FULLY LICENSED PROFESSIONALS. BUT THE WORKERS SAY IT WAS WOAHFULLY INADEQUATE. 435 00:25:13,378 --> 00:25:18,000 >> WE WANT PSYCHOLOGISTS, QUALIFIED, WHO KNOW EXACTLY WHAT WE ARE GOING THROUGH AND HOW THEY CAN HELP US TO COPE. 436 00:25:18,000 --> 00:25:19,784 >> WE WANT PSYCHOLOGISTS, QUALIFIED, WHO KNOW EXACTLY WHAT WE ARE GOING THROUGH AND HOW THEY CAN HELP US TO COPE. 437 00:25:19,851 --> 00:25:24,000 >> TRAUMA EXPERTS. >> YES. >> DO YOU THINK THE BIG COMPANY, FACEBOOK, CHATGPT, DO YOU THINK 438 00:25:24,000 --> 00:25:26,858 >> TRAUMA EXPERTS. >> YES. >> DO YOU THINK THE BIG COMPANY, FACEBOOK, CHATGPT, DO YOU THINK 439 00:25:26,925 --> 00:25:30,000 THEY KNOW HOW THIS IS AFFECTING THE WORKERS? >> IT'S THEIR JOB TO KNOW. IT'S THEIR [ BLEEP ] JOB TO 440 00:25:30,000 --> 00:25:33,231 THEY KNOW HOW THIS IS AFFECTING THE WORKERS? >> IT'S THEIR JOB TO KNOW. IT'S THEIR [ BLEEP ] JOB TO 441 00:25:33,298 --> 00:25:36,000 KNOW. THEY ARE THE ONES PROVIDING THE WORK. >> THESE THREE AND NEARLY 200 442 00:25:36,000 --> 00:25:37,435 KNOW. THEY ARE THE ONES PROVIDING THE WORK. >> THESE THREE AND NEARLY 200 443 00:25:37,502 --> 00:25:42,000 OTHER DIGITAL WORKERS ARE SUING SAMA AND META OVER UNREASONABLE WORKING CONDITIONS THAT CAUSED PSYCHIATRIC PROBLEMS. 444 00:25:42,000 --> 00:25:48,000 OTHER DIGITAL WORKERS ARE SUING SAMA AND META OVER UNREASONABLE WORKING CONDITIONS THAT CAUSED PSYCHIATRIC PROBLEMS. 445 00:25:48,000 --> 00:25:48,480 OTHER DIGITAL WORKERS ARE SUING SAMA AND META OVER UNREASONABLE WORKING CONDITIONS THAT CAUSED PSYCHIATRIC PROBLEMS. 446 00:25:48,546 --> 00:25:54,000 >> IT WAS PROVEN BY PSYCHIATRISTS THAT WE ARE SICK, HAVE GONE THROUGH AN EVALUATION A FEW MONTHS AGO, AND IT WAS 447 00:25:54,000 --> 00:26:00,000 >> IT WAS PROVEN BY PSYCHIATRISTS THAT WE ARE SICK, HAVE GONE THROUGH AN EVALUATION A FEW MONTHS AGO, AND IT WAS 448 00:26:00,000 --> 00:26:00,425 >> IT WAS PROVEN BY PSYCHIATRISTS THAT WE ARE SICK, HAVE GONE THROUGH AN EVALUATION A FEW MONTHS AGO, AND IT WAS 449 00:26:00,492 --> 00:26:06,000 PROVEN WE ARE ALL SICK. >> THEY KNOW WE'RE DANGMAGED BU THEY DON'T CARE. WE'RE HUMANS. 450 00:26:06,000 --> 00:26:09,367 PROVEN WE ARE ALL SICK. >> THEY KNOW WE'RE DANGMAGED BU THEY DON'T CARE. WE'RE HUMANS. 451 00:26:09,434 --> 00:26:12,000 JUST BECAUSE WE'RE VULNERABLE FOR NOW, THAT DOESN'T GIVE THEM THE RIGHT TO JUST EXPLOIT US LIKE THIS. 452 00:26:12,000 --> 00:26:14,739 JUST BECAUSE WE'RE VULNERABLE FOR NOW, THAT DOESN'T GIVE THEM THE RIGHT TO JUST EXPLOIT US LIKE THIS. 453 00:26:14,806 --> 00:26:18,000 >> SAMA, WHICH HAS TERMINATED THOSE PROJECTS, WOULD NOT AGREE TO AN ON-CAMERA INTERVIEW. META AND OPENAI TOLD US THEY'RE 454 00:26:18,000 --> 00:26:23,982 >> SAMA, WHICH HAS TERMINATED THOSE PROJECTS, WOULD NOT AGREE TO AN ON-CAMERA INTERVIEW. META AND OPENAI TOLD US THEY'RE 455 00:26:24,049 --> 00:26:30,000 COMMITTED TO SAFE WORKING CONDITIONS, INCLUDING FAIR WAGES AND ACCESS TO MENTAL HEALTH COUNSELING. 456 00:26:30,000 --> 00:26:32,757 COMMITTED TO SAFE WORKING CONDITIONS, INCLUDING FAIR WAGES AND ACCESS TO MENTAL HEALTH COUNSELING. 457 00:26:32,824 --> 00:26:36,000 ANOTHER AMERICAN A.I. TRAINING COMPANY FACING CRITICISM IN KENYA IS SCALE A.I., WHICH OPERATES A WEBSITE CALLED 458 00:26:36,000 --> 00:26:42,000 ANOTHER AMERICAN A.I. TRAINING COMPANY FACING CRITICISM IN KENYA IS SCALE A.I., WHICH OPERATES A WEBSITE CALLED 459 00:26:42,000 --> 00:26:44,169 ANOTHER AMERICAN A.I. TRAINING COMPANY FACING CRITICISM IN KENYA IS SCALE A.I., WHICH OPERATES A WEBSITE CALLED 460 00:26:44,235 --> 00:26:48,000 REMOTASKS. >> DID YOU WORK WITH REMOTASKS? >> JOAN, JOY, MICHAEL, AND DUNCAN SIGNED UP ONLINE, 461 00:26:48,000 --> 00:26:53,178 REMOTASKS. >> DID YOU WORK WITH REMOTASKS? >> JOAN, JOY, MICHAEL, AND DUNCAN SIGNED UP ONLINE, 462 00:26:53,244 --> 00:26:54,000 CREATING AN ACCOUNT AND CLICKED WORK REMOTELY, GETTING PAID PER TASK. SOMETIMES THE COMPANY JUST 463 00:26:54,000 --> 00:26:59,918 CREATING AN ACCOUNT AND CLICKED WORK REMOTELY, GETTING PAID PER TASK. SOMETIMES THE COMPANY JUST 464 00:26:59,985 --> 00:27:00,000 DIDN'T PAY THEM. >> IT GETS TO THE DAY BEFORE PAY DAY, THEY CLOSE THE ACCOUNT AND SAY YOU VIOLATED THE POLICY. 465 00:27:00,000 --> 00:27:06,000 DIDN'T PAY THEM. >> IT GETS TO THE DAY BEFORE PAY DAY, THEY CLOSE THE ACCOUNT AND SAY YOU VIOLATED THE POLICY. 466 00:27:06,000 --> 00:27:09,194 DIDN'T PAY THEM. >> IT GETS TO THE DAY BEFORE PAY DAY, THEY CLOSE THE ACCOUNT AND SAY YOU VIOLATED THE POLICY. 467 00:27:09,260 --> 00:27:12,000 >> THEY SAY YOU VIOLATED THE POLICY AND THEY DON'T PAY YOU FOR THE WORK YOU'VE DONE? >> YES. 468 00:27:12,000 --> 00:27:15,266 >> THEY SAY YOU VIOLATED THE POLICY AND THEY DON'T PAY YOU FOR THE WORK YOU'VE DONE? >> YES. 469 00:27:15,333 --> 00:27:18,000 >> WOULD YOU SAY THAT'S COMMON? >> YES. >> AND YOU HAVE NO RECOURSE. YOU HAVE NO WAY TO EVEN 470 00:27:18,000 --> 00:27:20,105 >> WOULD YOU SAY THAT'S COMMON? >> YES. >> AND YOU HAVE NO RECOURSE. YOU HAVE NO WAY TO EVEN 471 00:27:20,171 --> 00:27:24,000 COMPLAIN. >> THE COMPANY SAYS ANY WORK THAT WAS DONE IN LINE WITH OUR COMMUNITY GUIDELINES WAS PAID 472 00:27:24,000 --> 00:27:27,212 COMPLAIN. >> THE COMPANY SAYS ANY WORK THAT WAS DONE IN LINE WITH OUR COMMUNITY GUIDELINES WAS PAID 473 00:27:27,278 --> 00:27:30,000 OUT. IN MARCH, AS WORKERS STARTED COMPLAINING PUBLICLY, REMOTASKS ABRUPTLY SHUT DOWN IN KENYA 474 00:27:30,000 --> 00:27:36,000 OUT. IN MARCH, AS WORKERS STARTED COMPLAINING PUBLICLY, REMOTASKS ABRUPTLY SHUT DOWN IN KENYA 475 00:27:36,000 --> 00:27:36,287 OUT. IN MARCH, AS WORKERS STARTED COMPLAINING PUBLICLY, REMOTASKS ABRUPTLY SHUT DOWN IN KENYA 476 00:27:36,354 --> 00:27:41,426 ALTOGETHER. >> THERE WERE NO LABOR LAWS HERE? >> OUR LABOR LAW IS ABOUT 20 477 00:27:41,493 --> 00:27:42,000 YEARS OLD. IT DOESN'T TOUCH ON DIGITAL LABOR. I DO THINK THAT OUR LABOR LAWS 478 00:27:42,000 --> 00:27:47,165 YEARS OLD. IT DOESN'T TOUCH ON DIGITAL LABOR. I DO THINK THAT OUR LABOR LAWS 479 00:27:47,232 --> 00:27:48,000 NEED TO RECOGNIZE IT. BUT NOT JUST IN KENYA ALONE. BECAUSE WHAT HAPPENS IS WHEN WE START TO PUSH BACK IN TERMS OF 480 00:27:48,000 --> 00:27:54,000 NEED TO RECOGNIZE IT. BUT NOT JUST IN KENYA ALONE. BECAUSE WHAT HAPPENS IS WHEN WE START TO PUSH BACK IN TERMS OF 481 00:27:54,000 --> 00:27:54,205 NEED TO RECOGNIZE IT. BUT NOT JUST IN KENYA ALONE. BECAUSE WHAT HAPPENS IS WHEN WE START TO PUSH BACK IN TERMS OF 482 00:27:54,272 --> 00:28:00,000 PROTECTIONS OF WORKERS, A LOT OF THESE COMPANIES, THEY SHUT DOWN AND THEY MOVE TO A NEIGHBORS COUNTRY. 483 00:28:00,000 --> 00:28:02,047 PROTECTIONS OF WORKERS, A LOT OF THESE COMPANIES, THEY SHUT DOWN AND THEY MOVE TO A NEIGHBORS COUNTRY. 484 00:28:02,113 --> 00:28:06,000 >> IT'S EASY TO SEE HOW YOU'RE TRAPPED. KENYA IS TRAPPED. THEY NEED JOBS SO DESPERATELY 485 00:28:06,000 --> 00:28:08,186 >> IT'S EASY TO SEE HOW YOU'RE TRAPPED. KENYA IS TRAPPED. THEY NEED JOBS SO DESPERATELY 486 00:28:08,253 --> 00:28:12,000 THAT THERE'S A FEAR THAT IF YOU COMPLAIN, IF YOUR GOVERNMENT COMPLAINED, THEN THESE COMPANIES DON'T HAVE TO COME HERE. 487 00:28:12,000 --> 00:28:15,527 THAT THERE'S A FEAR THAT IF YOU COMPLAIN, IF YOUR GOVERNMENT COMPLAINED, THEN THESE COMPANIES DON'T HAVE TO COME HERE. 488 00:28:15,593 --> 00:28:18,000 >> YEAH. AND THAT'S WHAT THEY THROW AT US ALL THE TIME. AND IT'S TERRIBLE TO SUGGEST HOW 489 00:28:18,000 --> 00:28:21,299 >> YEAH. AND THAT'S WHAT THEY THROW AT US ALL THE TIME. AND IT'S TERRIBLE TO SUGGEST HOW 490 00:28:21,366 --> 00:28:24,000 MANY AMERICAN COMPANIES ARE JUST DOING WRONG HERE, JUST DOING WRONG HERE. AND IT'S SOMETHING THAT THEY 491 00:28:24,000 --> 00:28:27,572 MANY AMERICAN COMPANIES ARE JUST DOING WRONG HERE, JUST DOING WRONG HERE. AND IT'S SOMETHING THAT THEY 492 00:28:27,639 --> 00:28:30,000 WOULDN'T DO AT HOME. SO WHY DO IT HERE? [ STOPWATCH TICKING ] 493 00:28:30,000 --> 00:28:30,775 WOULDN'T DO AT HOME. SO WHY DO IT HERE? [ STOPWATCH TICKING ] 494 00:28:34,579 --> 00:28:36,000 >>> HOW KENYA BECAME A GLOBAL HOT BED FOR TECHNOLOGY. >> KENYA IS THE TECH CAPITAL OF EAST AFRICA. 495 00:28:36,000 --> 00:28:42,000 >>> HOW KENYA BECAME A GLOBAL HOT BED FOR TECHNOLOGY. >> KENYA IS THE TECH CAPITAL OF EAST AFRICA. 496 00:28:42,000 --> 00:28:42,554 >>> HOW KENYA BECAME A GLOBAL HOT BED FOR TECHNOLOGY. >> KENYA IS THE TECH CAPITAL OF EAST AFRICA. 497 00:28:42,620 --> 00:28:48,000 [ STOPWATCH TICKING ] >>> THE MERRIAM-WEBSTER DICTION DEFINES LOWRIDER AS A CUSTOMIZED CAR WITH A CHASSIS THAT HAS BEEN 498 00:28:48,000 --> 00:28:54,000 [ STOPWATCH TICKING ] >>> THE MERRIAM-WEBSTER DICTION DEFINES LOWRIDER AS A CUSTOMIZED CAR WITH A CHASSIS THAT HAS BEEN 499 00:28:54,000 --> 00:29:00,000 [ STOPWATCH TICKING ] >>> THE MERRIAM-WEBSTER DICTION DEFINES LOWRIDER AS A CUSTOMIZED CAR WITH A CHASSIS THAT HAS BEEN 500 00:29:00,000 --> 00:29:00,772 [ STOPWATCH TICKING ] >>> THE MERRIAM-WEBSTER DICTION DEFINES LOWRIDER AS A CUSTOMIZED CAR WITH A CHASSIS THAT HAS BEEN 501 00:29:00,839 --> 00:29:06,000 LOWERED SO THAT IT NARROWLY CLEARS THE GROUND. LOWRIDER IS ALSO USED TO DESCRIBE THE PERSON DRIVING SUCH 502 00:29:06,000 --> 00:29:07,312 LOWERED SO THAT IT NARROWLY CLEARS THE GROUND. LOWRIDER IS ALSO USED TO DESCRIBE THE PERSON DRIVING SUCH 503 00:29:07,378 --> 00:29:12,000 A VEHICLE, AND BOTH CAR AND DRIVER HAVE LONG BEEN POTENT CULTURAL SYMBOLS, ESPECIALLY AMONG MEXICAN AMERICANS. 504 00:29:12,000 --> 00:29:15,286 A VEHICLE, AND BOTH CAR AND DRIVER HAVE LONG BEEN POTENT CULTURAL SYMBOLS, ESPECIALLY AMONG MEXICAN AMERICANS. 505 00:29:15,353 --> 00:29:18,000 IN THE 1980s AND '90s, MANY CITIES PASSED ANTICRUISING ORDINANCES BECAUSE POLICE DEPARTMENTS AND THE PUBLIC OFTEN 506 00:29:18,000 --> 00:29:24,000 IN THE 1980s AND '90s, MANY CITIES PASSED ANTICRUISING ORDINANCES BECAUSE POLICE DEPARTMENTS AND THE PUBLIC OFTEN 507 00:29:24,000 --> 00:29:25,029 IN THE 1980s AND '90s, MANY CITIES PASSED ANTICRUISING ORDINANCES BECAUSE POLICE DEPARTMENTS AND THE PUBLIC OFTEN 508 00:29:25,096 --> 00:29:30,000 SAW LOWRIDERS AS MENACING, CONNECTING TO DRUGS AND GANGS. IT'S TAKEN DECADES, BUT THAT PERCEPTION IS CHANGING. 509 00:29:30,000 --> 00:29:33,271 SAW LOWRIDERS AS MENACING, CONNECTING TO DRUGS AND GANGS. IT'S TAKEN DECADES, BUT THAT PERCEPTION IS CHANGING. 510 00:29:33,338 --> 00:29:36,000 AND NOWHERE IS THAT MORE PRONOUNCED THAN THE LOWRIDER HOT WED OF NORTHERN NEW MEXICO. >> THE RIDE WILL BE A LITTLE 511 00:29:36,000 --> 00:29:42,000 AND NOWHERE IS THAT MORE PRONOUNCED THAN THE LOWRIDER HOT WED OF NORTHERN NEW MEXICO. >> THE RIDE WILL BE A LITTLE 512 00:29:42,000 --> 00:29:44,549 AND NOWHERE IS THAT MORE PRONOUNCED THAN THE LOWRIDER HOT WED OF NORTHERN NEW MEXICO. >> THE RIDE WILL BE A LITTLE 513 00:29:44,616 --> 00:29:48,000 ROUGH. >> THAT'S OKAY. WE LOOK COOL. >> ON GOOD FRIDAY, 2024, WE ARE 514 00:29:48,000 --> 00:29:53,224 ROUGH. >> THAT'S OKAY. WE LOOK COOL. >> ON GOOD FRIDAY, 2024, WE ARE 515 00:29:53,291 --> 00:29:54,000 CRUISING DOWN RIVERSIDE DRIVE IN ESPANOLA, MEXICO IN HIS CHEVY BEL AIR, HIS PRIDE AND JOY. HE'S BEEN CRUISING THIS ROAD IN 516 00:29:54,000 --> 00:30:00,000 CRUISING DOWN RIVERSIDE DRIVE IN ESPANOLA, MEXICO IN HIS CHEVY BEL AIR, HIS PRIDE AND JOY. HE'S BEEN CRUISING THIS ROAD IN 517 00:30:00,000 --> 00:30:05,737 CRUISING DOWN RIVERSIDE DRIVE IN ESPANOLA, MEXICO IN HIS CHEVY BEL AIR, HIS PRIDE AND JOY. HE'S BEEN CRUISING THIS ROAD IN 518 00:30:05,803 --> 00:30:06,000 THIS VINTAGE CAR SINCE HE WAS A KID WITH HIS DAD AT THE WHEEL. AND GOOD FRIDAY HAS LONG BEEN THE DAY FOR LOCAL LOWRIDERS. 519 00:30:06,000 --> 00:30:12,000 THIS VINTAGE CAR SINCE HE WAS A KID WITH HIS DAD AT THE WHEEL. AND GOOD FRIDAY HAS LONG BEEN THE DAY FOR LOCAL LOWRIDERS. 520 00:30:12,000 --> 00:30:14,979 THIS VINTAGE CAR SINCE HE WAS A KID WITH HIS DAD AT THE WHEEL. AND GOOD FRIDAY HAS LONG BEEN THE DAY FOR LOCAL LOWRIDERS. 521 00:30:15,046 --> 00:30:18,000 >> THIS IS THE GRAND OPENING OF FREE. SO, EVERYBODY LOOKS FORWARD, AS YOU CAN SEE TODAY. 522 00:30:18,000 --> 00:30:23,721 >> THIS IS THE GRAND OPENING OF FREE. SO, EVERYBODY LOOKS FORWARD, AS YOU CAN SEE TODAY. 523 00:30:23,788 --> 00:30:24,000 >> IT BLEW MY MIND. >> DEFINITELY. >> MARTINEZ IS LEADING A CANDY COLORED CARAVAN OF CARS FOR HIS 524 00:30:24,000 --> 00:30:30,000 >> IT BLEW MY MIND. >> DEFINITELY. >> MARTINEZ IS LEADING A CANDY COLORED CARAVAN OF CARS FOR HIS 525 00:30:30,000 --> 00:30:33,431 >> IT BLEW MY MIND. >> DEFINITELY. >> MARTINEZ IS LEADING A CANDY COLORED CARAVAN OF CARS FOR HIS 526 00:30:33,498 --> 00:30:36,000 VIEJITOS CAR CLUB. THAT'S OLD MEN IN SPANISH. ESPANOLA CALLS ITSELF THE LOW RIDER CAPITAL OF THE WORLD. 527 00:30:36,000 --> 00:30:42,000 VIEJITOS CAR CLUB. THAT'S OLD MEN IN SPANISH. ESPANOLA CALLS ITSELF THE LOW RIDER CAPITAL OF THE WORLD. 528 00:30:42,000 --> 00:30:43,875 VIEJITOS CAR CLUB. THAT'S OLD MEN IN SPANISH. ESPANOLA CALLS ITSELF THE LOW RIDER CAPITAL OF THE WORLD. 529 00:30:43,942 --> 00:30:48,000 AND ON GOOD FRIDAY, THE VIEJITOS WERE JOINED BY LOWRIDERS FROM MANY OTHER LOCAL CAR CLUBS FOR A CHROME AND TAIL FIN CELEBRATION 530 00:30:48,000 --> 00:30:53,785 AND ON GOOD FRIDAY, THE VIEJITOS WERE JOINED BY LOWRIDERS FROM MANY OTHER LOCAL CAR CLUBS FOR A CHROME AND TAIL FIN CELEBRATION 531 00:30:53,851 --> 00:30:54,000 OF THEIR CULTURE. SOME WERE SHINING UP AND STAYING PUT TO BE ADMIRED WHILE OTHERS SHOWED OFF THE CRAZY HYDRAULIC 532 00:30:54,000 --> 00:31:00,000 OF THEIR CULTURE. SOME WERE SHINING UP AND STAYING PUT TO BE ADMIRED WHILE OTHERS SHOWED OFF THE CRAZY HYDRAULIC 533 00:31:00,000 --> 00:31:05,563 OF THEIR CULTURE. SOME WERE SHINING UP AND STAYING PUT TO BE ADMIRED WHILE OTHERS SHOWED OFF THE CRAZY HYDRAULIC 534 00:31:05,630 --> 00:31:06,000 GYMNASTICS LOW RIDERS ARE GONE FOR. AMONG NEW MEXICO'S LOW RIDERS, EPPIE MARTINEZ IS KNOWN AS THE 535 00:31:06,000 --> 00:31:12,000 GYMNASTICS LOW RIDERS ARE GONE FOR. AMONG NEW MEXICO'S LOW RIDERS, EPPIE MARTINEZ IS KNOWN AS THE 536 00:31:12,000 --> 00:31:13,438 GYMNASTICS LOW RIDERS ARE GONE FOR. AMONG NEW MEXICO'S LOW RIDERS, EPPIE MARTINEZ IS KNOWN AS THE 537 00:31:13,504 --> 00:31:18,000 MAN WHO MAKES CARS DO THAT. >> SO, PEOPLE COME TO YOU TO HAVE THE HYDRAULICS PUT IN THEIR CAR. 538 00:31:18,000 --> 00:31:21,212 MAN WHO MAKES CARS DO THAT. >> SO, PEOPLE COME TO YOU TO HAVE THE HYDRAULICS PUT IN THEIR CAR. 539 00:31:21,279 --> 00:31:24,000 >> YES, YES, YES, EXACTLY. >> HOW MANY HAVE YOU DONE? >> I'VE DONE OVER 500 PROBABLY. >> HYDRAULICS IN HIS '53 BEL AIR 540 00:31:24,000 --> 00:31:30,000 >> YES, YES, YES, EXACTLY. >> HOW MANY HAVE YOU DONE? >> I'VE DONE OVER 500 PROBABLY. >> HYDRAULICS IN HIS '53 BEL AIR 541 00:31:30,000 --> 00:31:33,224 >> YES, YES, YES, EXACTLY. >> HOW MANY HAVE YOU DONE? >> I'VE DONE OVER 500 PROBABLY. >> HYDRAULICS IN HIS '53 BEL AIR 542 00:31:33,291 --> 00:31:36,000 ARE FAIRLY MODEST. >> SOMETHING NOT TOO MUCH, A TWO-PUMP SET UP. IT'S MOSTLY AIRCRAFT. 543 00:31:36,000 --> 00:31:37,528 ARE FAIRLY MODEST. >> SOMETHING NOT TOO MUCH, A TWO-PUMP SET UP. IT'S MOSTLY AIRCRAFT. 544 00:31:37,595 --> 00:31:41,532 >> THIS IS AIRCRAFT TECHNOLOGY? >> EXACTLY. >> BUT IN A CAR. >> EXACTLY. 545 00:31:41,599 --> 00:31:42,000 >> THOSE HYDRAULIC PUMPED DESIGNED TO OPERATE AIRCRAFT FLAPS AND LANDING GEAR ARE CONTROLLED BY SWITCHES AT THE 546 00:31:42,000 --> 00:31:48,000 >> THOSE HYDRAULIC PUMPED DESIGNED TO OPERATE AIRCRAFT FLAPS AND LANDING GEAR ARE CONTROLLED BY SWITCHES AT THE 547 00:31:48,000 --> 00:31:51,242 >> THOSE HYDRAULIC PUMPED DESIGNED TO OPERATE AIRCRAFT FLAPS AND LANDING GEAR ARE CONTROLLED BY SWITCHES AT THE 548 00:31:51,309 --> 00:31:54,000 DRIVER'S SEAT. >> SEE? THAT'S ALL IT REALLY DOES. IT DOESN'T DO TOO MUCH. 549 00:31:54,000 --> 00:31:56,914 DRIVER'S SEAT. >> SEE? THAT'S ALL IT REALLY DOES. IT DOESN'T DO TOO MUCH. 550 00:31:56,981 --> 00:32:00,000 I DON'T WANT TO HURT IT, YOU KNOW WHAT I MEAN? >> OVER THE YEARS, MARTINEZ HAS INSTALLED HYDRAULICS THAT SEEM 551 00:32:00,000 --> 00:32:02,787 I DON'T WANT TO HURT IT, YOU KNOW WHAT I MEAN? >> OVER THE YEARS, MARTINEZ HAS INSTALLED HYDRAULICS THAT SEEM 552 00:32:02,854 --> 00:32:06,000 GUARANTEED TO HURT CARS, TURNING THEM INTO WHAT LOW RIDERS CALL HOPPERS, THAT DREW COMPETITORS AND CROWDS TO THIS ESPANOLA 553 00:32:06,000 --> 00:32:12,000 GUARANTEED TO HURT CARS, TURNING THEM INTO WHAT LOW RIDERS CALL HOPPERS, THAT DREW COMPETITORS AND CROWDS TO THIS ESPANOLA 554 00:32:12,000 --> 00:32:16,634 GUARANTEED TO HURT CARS, TURNING THEM INTO WHAT LOW RIDERS CALL HOPPERS, THAT DREW COMPETITORS AND CROWDS TO THIS ESPANOLA 555 00:32:16,701 --> 00:32:18,000 PARKING LOT TO SEE WHO COULD JUMP HIGHEST. WHETHER THEY HOP TO THE SKY OR SET EVER SO LOW TO THE GROUND, 556 00:32:18,000 --> 00:32:24,000 PARKING LOT TO SEE WHO COULD JUMP HIGHEST. WHETHER THEY HOP TO THE SKY OR SET EVER SO LOW TO THE GROUND, 557 00:32:24,000 --> 00:32:27,945 PARKING LOT TO SEE WHO COULD JUMP HIGHEST. WHETHER THEY HOP TO THE SKY OR SET EVER SO LOW TO THE GROUND, 558 00:32:28,012 --> 00:32:30,000 EACH LOWRIDER WE SAW THAT DAY SEEMED TO SAY, HERE I AM. >> IT'S AN EXPRESSION OF WHO YOU ARE. 559 00:32:30,000 --> 00:32:34,519 EACH LOWRIDER WE SAW THAT DAY SEEMED TO SAY, HERE I AM. >> IT'S AN EXPRESSION OF WHO YOU ARE. 560 00:32:34,585 --> 00:32:36,000 IT'S AN EXTENSION OF YOUR PERSONALITY. >> THEY WERE THERE WITH THEIR 1973 CHEVROLET FLEET MASTER 561 00:32:36,000 --> 00:32:42,000 IT'S AN EXTENSION OF YOUR PERSONALITY. >> THEY WERE THERE WITH THEIR 1973 CHEVROLET FLEET MASTER 562 00:32:42,000 --> 00:32:43,494 IT'S AN EXTENSION OF YOUR PERSONALITY. >> THEY WERE THERE WITH THEIR 1973 CHEVROLET FLEET MASTER 563 00:32:43,561 --> 00:32:46,664 CONVERTIBLE. >> IT'S SLEEK, IT'S CLASSIC, IT'S BEAUTIFUL. IT'S KIND OF ME. 564 00:32:46,731 --> 00:32:48,000 >> IT'S ROUND, IT'S SHAPE PI, IT'S SHINY. >> IT'S ME. >> LOW RIDERS ARE ALL ABOUT 565 00:32:48,000 --> 00:32:54,000 >> IT'S ROUND, IT'S SHAPE PI, IT'S SHINY. >> IT'S ME. >> LOW RIDERS ARE ALL ABOUT 566 00:32:54,000 --> 00:32:54,572 >> IT'S ROUND, IT'S SHAPE PI, IT'S SHINY. >> IT'S ME. >> LOW RIDERS ARE ALL ABOUT 567 00:32:54,639 --> 00:33:00,000 THAT. THEY'RE THE CAR AMONGST AR CARS. >> PATRICIA TRUJILLO IS DEPUTY CABINET SECRETARY OF NEW 568 00:33:00,000 --> 00:33:03,147 THAT. THEY'RE THE CAR AMONGST AR CARS. >> PATRICIA TRUJILLO IS DEPUTY CABINET SECRETARY OF NEW 569 00:33:03,214 --> 00:33:06,000 MEXICO'S DEPARTMENT OF HIGHER EDUCATION. SHE TOLD US THE ROOTS OF THE LOWRIDER CULTURE HERE STRETCH 570 00:33:06,000 --> 00:33:08,219 MEXICO'S DEPARTMENT OF HIGHER EDUCATION. SHE TOLD US THE ROOTS OF THE LOWRIDER CULTURE HERE STRETCH 571 00:33:08,286 --> 00:33:12,000 BACK TO JUST AFTER WORLD WAR II. >> YOU HAD MANY MEXICAN AMERICANS GOING INTO THE ARMY AND THEN COMING BACK AND STILL 572 00:33:12,000 --> 00:33:15,560 BACK TO JUST AFTER WORLD WAR II. >> YOU HAD MANY MEXICAN AMERICANS GOING INTO THE ARMY AND THEN COMING BACK AND STILL 573 00:33:15,626 --> 00:33:18,000 BEING TREATED AS SECOND CLASS CITIZENS. SO, A LOT OF THOSE PEOPLE BASICALLY CREATED THIS 574 00:33:18,000 --> 00:33:21,766 BEING TREATED AS SECOND CLASS CITIZENS. SO, A LOT OF THOSE PEOPLE BASICALLY CREATED THIS 575 00:33:21,833 --> 00:33:24,000 COUNTERCULTURE TO BE ABLE TO SPEAK BACK AND SAY, WE BELONG HERE TOO. IT'S ALMOST LIKE A SAUNTER OR A 576 00:33:24,000 --> 00:33:29,207 COUNTERCULTURE TO BE ABLE TO SPEAK BACK AND SAY, WE BELONG HERE TOO. IT'S ALMOST LIKE A SAUNTER OR A 577 00:33:29,273 --> 00:33:30,000 SWAGGER IN VEHICLE FORM, RIGHT? >> IT'S, SORT OF, LIKE EMBRACING YOUR AMERICANNESS, THE CAR CULTURE. 578 00:33:30,000 --> 00:33:35,179 SWAGGER IN VEHICLE FORM, RIGHT? >> IT'S, SORT OF, LIKE EMBRACING YOUR AMERICANNESS, THE CAR CULTURE. 579 00:33:35,246 --> 00:33:36,000 >> YES. >> BUT MAKING IT YOUR OWN AND SAYING, I'M PART OF AMERICA BUT I'M NOT PART OF THIS MAIN 580 00:33:36,000 --> 00:33:40,952 >> YES. >> BUT MAKING IT YOUR OWN AND SAYING, I'M PART OF AMERICA BUT I'M NOT PART OF THIS MAIN 581 00:33:41,018 --> 00:33:42,000 STREAM. I'M DOING MY OWN THING HERE. >> YEAH. AND WE ARE OUR OWN THING. 582 00:33:42,000 --> 00:33:45,089 STREAM. I'M DOING MY OWN THING HERE. >> YEAH. AND WE ARE OUR OWN THING. 583 00:33:45,156 --> 00:33:48,000 >> SO, LOW AND SLOW AND SORT OF FAST AND FURIOUS. >> YES, ABSOLUTELY. >> THESE ARE BUICKS AND PONTIACS 584 00:33:48,000 --> 00:33:52,029 >> SO, LOW AND SLOW AND SORT OF FAST AND FURIOUS. >> YES, ABSOLUTELY. >> THESE ARE BUICKS AND PONTIACS 585 00:33:52,096 --> 00:33:54,000 AND CHEVYS FROM THE GLORY DAYS OF DETROIT CUSTOMIZED WITH ELABORATE INTERIORS, INTRICATE ENGRAVING, AND KALEIDOSCOPIC 586 00:33:54,000 --> 00:34:00,000 AND CHEVYS FROM THE GLORY DAYS OF DETROIT CUSTOMIZED WITH ELABORATE INTERIORS, INTRICATE ENGRAVING, AND KALEIDOSCOPIC 587 00:34:00,000 --> 00:34:02,774 AND CHEVYS FROM THE GLORY DAYS OF DETROIT CUSTOMIZED WITH ELABORATE INTERIORS, INTRICATE ENGRAVING, AND KALEIDOSCOPIC 588 00:34:02,840 --> 00:34:06,000 COLORS IN THE PAINT JOBS. THE OVER THE TOP STYLE ISN'T FOR EVERYONE, BUT THESE CARS ARE ALL LABORS OF LOVE, WHETHER DO IT 589 00:34:06,000 --> 00:34:10,782 COLORS IN THE PAINT JOBS. THE OVER THE TOP STYLE ISN'T FOR EVERYONE, BUT THESE CARS ARE ALL LABORS OF LOVE, WHETHER DO IT 590 00:34:10,848 --> 00:34:12,000 YOURSELF JOBS OR THOSE RESTORED BY PROFESSIONALS FOR TENS OF THOUSANDS OF DOLLARS. >> THIS ENDS UP ABOUT 100 COATS 591 00:34:12,000 --> 00:34:18,000 YOURSELF JOBS OR THOSE RESTORED BY PROFESSIONALS FOR TENS OF THOUSANDS OF DOLLARS. >> THIS ENDS UP ABOUT 100 COATS 592 00:34:18,000 --> 00:34:18,956 YOURSELF JOBS OR THOSE RESTORED BY PROFESSIONALS FOR TENS OF THOUSANDS OF DOLLARS. >> THIS ENDS UP ABOUT 100 COATS 593 00:34:19,023 --> 00:34:24,000 OF MATERIAL WHEN IT'S ALL SAID AND DONE. >> 100 COATS OF PAINT? >> 100 COATS OF PAINT. 594 00:34:24,000 --> 00:34:25,563 OF MATERIAL WHEN IT'S ALL SAID AND DONE. >> 100 COATS OF PAINT? >> 100 COATS OF PAINT. 595 00:34:25,630 --> 00:34:30,000 >> ROB VANDERSLICE IS A LEGENDARY PAINTER FROM ABCYR ALBUQUERQUE, AND A RARE GRINGO IN THE WORLD. 596 00:34:30,000 --> 00:34:36,000 >> ROB VANDERSLICE IS A LEGENDARY PAINTER FROM ABCYR ALBUQUERQUE, AND A RARE GRINGO IN THE WORLD. 597 00:34:36,000 --> 00:34:38,509 >> ROB VANDERSLICE IS A LEGENDARY PAINTER FROM ABCYR ALBUQUERQUE, AND A RARE GRINGO IN THE WORLD. 598 00:34:38,576 --> 00:34:42,000 >> FAMOUS FOR USING TAPE AND SPRAY PAINT TO LAY DOWN LAYERS OF DIFFERENT COLORS, AS HE DEMONSTRATES IN WEEKLY YOUTUBE 599 00:34:42,000 --> 00:34:47,385 >> FAMOUS FOR USING TAPE AND SPRAY PAINT TO LAY DOWN LAYERS OF DIFFERENT COLORS, AS HE DEMONSTRATES IN WEEKLY YOUTUBE 600 00:34:47,452 --> 00:34:48,000 TUTORIALS. >> WE'RE TALKING HOURS AND HOURS AND IT JUST IS A BEAUTIFUL BREAKUP OF, LIKE, A DARKER 601 00:34:48,000 --> 00:34:53,024 TUTORIALS. >> WE'RE TALKING HOURS AND HOURS AND IT JUST IS A BEAUTIFUL BREAKUP OF, LIKE, A DARKER 602 00:34:53,090 --> 00:34:54,000 ORANGE, A MEDIUM ORANGE, AND A LIGHT ORANGE. IT'S A FAN OF COLORS. >> VANDERSLICE STARTED PAINTING 603 00:34:54,000 --> 00:35:00,000 ORANGE, A MEDIUM ORANGE, AND A LIGHT ORANGE. IT'S A FAN OF COLORS. >> VANDERSLICE STARTED PAINTING 604 00:35:00,000 --> 00:35:01,365 ORANGE, A MEDIUM ORANGE, AND A LIGHT ORANGE. IT'S A FAN OF COLORS. >> VANDERSLICE STARTED PAINTING 605 00:35:01,432 --> 00:35:06,000 LOW LOWRIDERS IN THE LATE 1980s. THAT'S JUST ABOUT WHEN GANGSTER RAP ARTISTS POPULARIZED THE CARS 606 00:35:06,000 --> 00:35:09,807 LOW LOWRIDERS IN THE LATE 1980s. THAT'S JUST ABOUT WHEN GANGSTER RAP ARTISTS POPULARIZED THE CARS 607 00:35:09,874 --> 00:35:12,000 IN MUSIC VIDEOS. THAT CONTRIBUTED TO A PUBLIC IMPRESSION OF LOWRIDERS AS CONNECTED TO GANGS AND DRUGS. 608 00:35:12,000 --> 00:35:17,348 IN MUSIC VIDEOS. THAT CONTRIBUTED TO A PUBLIC IMPRESSION OF LOWRIDERS AS CONNECTED TO GANGS AND DRUGS. 609 00:35:17,415 --> 00:35:18,000 >> BACK IN THE DAY, WERE MOST OF YOUR CLIENTS INVOLVED WITH GANGS AND DRUGS? >> BACK THEN I DID A CAR FOR 610 00:35:18,000 --> 00:35:23,554 >> BACK IN THE DAY, WERE MOST OF YOUR CLIENTS INVOLVED WITH GANGS AND DRUGS? >> BACK THEN I DID A CAR FOR 611 00:35:23,621 --> 00:35:24,000 JUST ABOUT EVERY GANG YOU COULD THINK, YOU KNOW WHAT I MEAN? >> VANDERSLICE HIMSELF HAD A YEARS-LONG ADDICTION TO CRYSTAL 612 00:35:24,000 --> 00:35:30,000 JUST ABOUT EVERY GANG YOU COULD THINK, YOU KNOW WHAT I MEAN? >> VANDERSLICE HIMSELF HAD A YEARS-LONG ADDICTION TO CRYSTAL 613 00:35:30,000 --> 00:35:31,696 JUST ABOUT EVERY GANG YOU COULD THINK, YOU KNOW WHAT I MEAN? >> VANDERSLICE HIMSELF HAD A YEARS-LONG ADDICTION TO CRYSTAL 614 00:35:31,762 --> 00:35:36,000 METH WHILE HE WAS MAKING A NAME FOR HIMSELF PAINTING ALL THOSE CARS. >> CONGRATULATIONS ON BEING 615 00:35:36,000 --> 00:35:36,767 METH WHILE HE WAS MAKING A NAME FOR HIMSELF PAINTING ALL THOSE CARS. >> CONGRATULATIONS ON BEING 616 00:35:36,834 --> 00:35:40,371 CLEAN. >> THANK YOU. > HOW LONG? >> 13 YEARS CLEAN NOW. 617 00:35:40,438 --> 00:35:42,000 >> HOW DID YOU DO IT? >> GOT IN TROUBLE. I'M A THREE-TIME CONVICTED FELON. 618 00:35:42,000 --> 00:35:44,609 >> HOW DID YOU DO IT? >> GOT IN TROUBLE. I'M A THREE-TIME CONVICTED FELON. 619 00:35:44,675 --> 00:35:48,000 AND THE LAST TIME, I JUST SAID, YOU KNOW WHAT? I'M DONE. >> HIS PERSONAL REHABILITATION 620 00:35:48,000 --> 00:35:51,749 AND THE LAST TIME, I JUST SAID, YOU KNOW WHAT? I'M DONE. >> HIS PERSONAL REHABILITATION 621 00:35:51,816 --> 00:35:54,000 PARALLELS THE PATH TRAVELLED BY NEW MEXICO'S LOWRIDERS, COUNTERCULTURE REBELS TURNED GANGSTERS, NOW STEADILY ROLLING 622 00:35:54,000 --> 00:36:00,000 PARALLELS THE PATH TRAVELLED BY NEW MEXICO'S LOWRIDERS, COUNTERCULTURE REBELS TURNED GANGSTERS, NOW STEADILY ROLLING 623 00:36:00,000 --> 00:36:00,458 PARALLELS THE PATH TRAVELLED BY NEW MEXICO'S LOWRIDERS, COUNTERCULTURE REBELS TURNED GANGSTERS, NOW STEADILY ROLLING 624 00:36:00,525 --> 00:36:06,000 INTO THE MAIN STREAM. >> SO, YOU HAVE GONE FROM PAINTING CARS FOR GANGS TO PAINTING CARS FOR THE 625 00:36:06,000 --> 00:36:09,433 INTO THE MAIN STREAM. >> SO, YOU HAVE GONE FROM PAINTING CARS FOR GANGS TO PAINTING CARS FOR THE 626 00:36:09,500 --> 00:36:12,000 ALBUQUERQUE POLICE DEPARTMENT. >> RIGHT, RIGHT. >> THAT'S A BIG LEAP. >> YEAH, THAT'S A HUGE LEAP. 627 00:36:12,000 --> 00:36:18,000 ALBUQUERQUE POLICE DEPARTMENT. >> RIGHT, RIGHT. >> THAT'S A BIG LEAP. >> YEAH, THAT'S A HUGE LEAP. 628 00:36:18,000 --> 00:36:19,544 ALBUQUERQUE POLICE DEPARTMENT. >> RIGHT, RIGHT. >> THAT'S A BIG LEAP. >> YEAH, THAT'S A HUGE LEAP. 629 00:36:19,610 --> 00:36:24,000 >> IN THE PLAZA IN SANTA FE, LOWRIDING HAD BEEN BANNED FOR MANY YEARS. >> SANTA FE IS THE CAPITAL OF 630 00:36:24,000 --> 00:36:28,386 >> IN THE PLAZA IN SANTA FE, LOWRIDING HAD BEEN BANNED FOR MANY YEARS. >> SANTA FE IS THE CAPITAL OF 631 00:36:28,452 --> 00:36:30,000 NEW MEXICO AND ITS ARTISTIC CENTER. SO, WHEN THE CITY'S MAYOR NOT ONLY DROPPED THE BAN ON CRUISING 632 00:36:30,000 --> 00:36:36,000 NEW MEXICO AND ITS ARTISTIC CENTER. SO, WHEN THE CITY'S MAYOR NOT ONLY DROPPED THE BAN ON CRUISING 633 00:36:36,000 --> 00:36:36,260 NEW MEXICO AND ITS ARTISTIC CENTER. SO, WHEN THE CITY'S MAYOR NOT ONLY DROPPED THE BAN ON CRUISING 634 00:36:36,327 --> 00:36:42,000 BUT DECLARED A LOWRIDER DAY IN 2016, TRUJILLO SAYS CARS SLOW ROLLED IN BY THE HUNDREDS. >> THERE WAS THIS REAL SHIFT IN 635 00:36:42,000 --> 00:36:46,337 BUT DECLARED A LOWRIDER DAY IN 2016, TRUJILLO SAYS CARS SLOW ROLLED IN BY THE HUNDREDS. >> THERE WAS THIS REAL SHIFT IN 636 00:36:46,404 --> 00:36:48,000 CULTURE IN THAT MOMENT OF RECOGNIZING LOWRIDERS AS AN IMPORTANT PART OF OUR HERITAGE, AN IMPORTANT PART OF THE 637 00:36:48,000 --> 00:36:54,000 CULTURE IN THAT MOMENT OF RECOGNIZING LOWRIDERS AS AN IMPORTANT PART OF OUR HERITAGE, AN IMPORTANT PART OF THE 638 00:36:54,000 --> 00:36:54,378 CULTURE IN THAT MOMENT OF RECOGNIZING LOWRIDERS AS AN IMPORTANT PART OF OUR HERITAGE, AN IMPORTANT PART OF THE 639 00:36:54,445 --> 00:36:59,584 ARTISTRY OF OUR COMMUNITIES. AND I REALLY FEEL LIKE THAT MARKED A NEW MOMENT IN NEW MEXICO. 640 00:36:59,650 --> 00:37:00,000 >> SO, WE'RE ALL A FAMILY. >> JOANNE AND ARTHUR MEDINA, EVERYONE CALLS HIM LOW LOW, PER SON IDENTIFY THE MORPHING OF 641 00:37:00,000 --> 00:37:06,000 >> SO, WE'RE ALL A FAMILY. >> JOANNE AND ARTHUR MEDINA, EVERYONE CALLS HIM LOW LOW, PER SON IDENTIFY THE MORPHING OF 642 00:37:06,000 --> 00:37:10,861 >> SO, WE'RE ALL A FAMILY. >> JOANNE AND ARTHUR MEDINA, EVERYONE CALLS HIM LOW LOW, PER SON IDENTIFY THE MORPHING OF 643 00:37:10,928 --> 00:37:12,000 LOWRIDERS IMAGE IN THE ESPANOLA VALLEY. SHE WAS IN JUNIOR HIGH SCHOOL WHEN THEY MET MORE THAN 40 YEARS 644 00:37:12,000 --> 00:37:17,101 LOWRIDERS IMAGE IN THE ESPANOLA VALLEY. SHE WAS IN JUNIOR HIGH SCHOOL WHEN THEY MET MORE THAN 40 YEARS 645 00:37:17,168 --> 00:37:18,000 AGO. >> AS WE WERE DRIVING INTO ESPANOLA, I'M LIKE, OH, MY GOSH, LOOK AT THAT CAR. 646 00:37:18,000 --> 00:37:23,174 AGO. >> AS WE WERE DRIVING INTO ESPANOLA, I'M LIKE, OH, MY GOSH, LOOK AT THAT CAR. 647 00:37:23,240 --> 00:37:24,000 AND I WAS LIKE, LOOK AT THE GUY IN IT. >> WE DON'T LIKE TO COMPETE WITH PEOPLE, BUT -- 648 00:37:24,000 --> 00:37:29,113 AND I WAS LIKE, LOOK AT THE GUY IN IT. >> WE DON'T LIKE TO COMPETE WITH PEOPLE, BUT -- 649 00:37:29,180 --> 00:37:30,000 >> IT STOOD OUT MORE. >> IT STOOD OUT MORE, A LOT MORE. YOU COULD SEE IT FOR MILES. 650 00:37:30,000 --> 00:37:34,251 >> IT STOOD OUT MORE. >> IT STOOD OUT MORE, A LOT MORE. YOU COULD SEE IT FOR MILES. 651 00:37:34,318 --> 00:37:36,000 >> THAT CAR IS STILL IN A MAKESHIFT MUSEUM FULL OF LOWRIDERS OUTSIDE THEIR HOME WITH A FEW IN THE CHART AWAITING 652 00:37:36,000 --> 00:37:42,000 >> THAT CAR IS STILL IN A MAKESHIFT MUSEUM FULL OF LOWRIDERS OUTSIDE THEIR HOME WITH A FEW IN THE CHART AWAITING 653 00:37:42,000 --> 00:37:46,464 >> THAT CAR IS STILL IN A MAKESHIFT MUSEUM FULL OF LOWRIDERS OUTSIDE THEIR HOME WITH A FEW IN THE CHART AWAITING 654 00:37:46,530 --> 00:37:48,000 MAKEOVERS. LOW LOW'S MASTERPIECE COVERED FRONT, BACK, AND SIDE DEPERFECTING THE LIFE OF JESUS, 655 00:37:48,000 --> 00:37:54,000 MAKEOVERS. LOW LOW'S MASTERPIECE COVERED FRONT, BACK, AND SIDE DEPERFECTING THE LIFE OF JESUS, 656 00:37:54,000 --> 00:37:54,405 MAKEOVERS. LOW LOW'S MASTERPIECE COVERED FRONT, BACK, AND SIDE DEPERFECTING THE LIFE OF JESUS, 657 00:37:54,472 --> 00:37:57,975 WAS BEING REPAINTED THE DAY WE WERE THERE. >> IS YOUR CAR MAKING A STATEMENT? 658 00:37:58,042 --> 00:38:00,000 >> YES. >> YES. >> AND WHAT'S THAT STATEMENT? >> IT'S OUR FISHING NET. 659 00:38:00,000 --> 00:38:02,380 >> YES. >> YES. >> AND WHAT'S THAT STATEMENT? >> IT'S OUR FISHING NET. 660 00:38:02,446 --> 00:38:06,000 >> WHEREVER WE GO OUR CARS, PEOPLE ARE DRAWN TO HIS ARTWORK. PEOPLE ARE DRAWN TO WHAT WE'VE DONE TO THE CARS AND WHO WE ARE. 661 00:38:06,000 --> 00:38:10,154 >> WHEREVER WE GO OUR CARS, PEOPLE ARE DRAWN TO HIS ARTWORK. PEOPLE ARE DRAWN TO WHAT WE'VE DONE TO THE CARS AND WHO WE ARE. 662 00:38:10,221 --> 00:38:12,000 PEOPLE KNOW US FROM ALL OVER. IT DRAWS PEOPLE. >> BUT IF DRAWING ATTENTION WAS ONCE THE ONLY GOAL, THEY'RE NOW 663 00:38:12,000 --> 00:38:18,000 PEOPLE KNOW US FROM ALL OVER. IT DRAWS PEOPLE. >> BUT IF DRAWING ATTENTION WAS ONCE THE ONLY GOAL, THEY'RE NOW 664 00:38:18,000 --> 00:38:19,797 PEOPLE KNOW US FROM ALL OVER. IT DRAWS PEOPLE. >> BUT IF DRAWING ATTENTION WAS ONCE THE ONLY GOAL, THEY'RE NOW 665 00:38:19,864 --> 00:38:24,000 USING THAT ATTENTION TO HELP KIDS AND SERVE THEIR COMMUNITY. >> YOU'RE SAYING FAMILY, COMMUNITY, FAITH. 666 00:38:24,000 --> 00:38:27,338 USING THAT ATTENTION TO HELP KIDS AND SERVE THEIR COMMUNITY. >> YOU'RE SAYING FAMILY, COMMUNITY, FAITH. 667 00:38:27,405 --> 00:38:30,000 IN THE PAST WORDS ASSOCIATED WITH LOWRIDERS WERE GANGS AND DRUGS AND CRIME. >> YES, THAT'S VERY TRUE. 668 00:38:30,000 --> 00:38:34,211 IN THE PAST WORDS ASSOCIATED WITH LOWRIDERS WERE GANGS AND DRUGS AND CRIME. >> YES, THAT'S VERY TRUE. 669 00:38:34,278 --> 00:38:36,000 >> WHAT CHANGED? >> I THINK WHAT CHANGED IN A BIG WAY IS THAT WE STARTED BEING OUT MORE IN THE COMMUNITY TO KIND OF 670 00:38:36,000 --> 00:38:42,000 >> WHAT CHANGED? >> I THINK WHAT CHANGED IN A BIG WAY IS THAT WE STARTED BEING OUT MORE IN THE COMMUNITY TO KIND OF 671 00:38:42,000 --> 00:38:44,188 >> WHAT CHANGED? >> I THINK WHAT CHANGED IN A BIG WAY IS THAT WE STARTED BEING OUT MORE IN THE COMMUNITY TO KIND OF 672 00:38:44,255 --> 00:38:47,825 VOLUNTEER. >> WE'RE ALWAYS HERE TO ENCOURAGE. WE'RE ALWAYS HERE TO HELP. 673 00:38:47,892 --> 00:38:48,000 >> WE SAW A NEED FOR THE HOMELESS, AND I SAID, OKAY, LET'S DO A COAT DRIVE AND A CLOTHING DRIVE. 674 00:38:48,000 --> 00:38:54,000 >> WE SAW A NEED FOR THE HOMELESS, AND I SAID, OKAY, LET'S DO A COAT DRIVE AND A CLOTHING DRIVE. 675 00:38:54,000 --> 00:38:55,566 >> WE SAW A NEED FOR THE HOMELESS, AND I SAID, OKAY, LET'S DO A COAT DRIVE AND A CLOTHING DRIVE. 676 00:38:55,633 --> 00:39:00,000 MAN, WE GOT FIVE HUGE TRUCK LOADS OF JACKETS AND CLOTHES AND SHOES. >> IT ALMOST AS SIMPLE AS THE 677 00:39:00,000 --> 00:39:05,009 MAN, WE GOT FIVE HUGE TRUCK LOADS OF JACKETS AND CLOTHES AND SHOES. >> IT ALMOST AS SIMPLE AS THE 678 00:39:05,076 --> 00:39:06,000 ORIGINAL LOWRIDERS HAVE JUST GROWN OUT OF -- >> I WOULDN'T SAY THEY'VE GROWN OUT OF REBELLION. 679 00:39:06,000 --> 00:39:12,000 ORIGINAL LOWRIDERS HAVE JUST GROWN OUT OF -- >> I WOULDN'T SAY THEY'VE GROWN OUT OF REBELLION. 680 00:39:12,000 --> 00:39:14,452 ORIGINAL LOWRIDERS HAVE JUST GROWN OUT OF -- >> I WOULDN'T SAY THEY'VE GROWN OUT OF REBELLION. 681 00:39:14,518 --> 00:39:18,000 I THINK THEY'VE REDEFINED IT. >> WHAT'S THE DEFINITION OF REBELLION NOW? >> REBELLION NOW IS HEALING, TO 682 00:39:18,000 --> 00:39:22,293 I THINK THEY'VE REDEFINED IT. >> WHAT'S THE DEFINITION OF REBELLION NOW? >> REBELLION NOW IS HEALING, TO 683 00:39:22,359 --> 00:39:24,000 BE THAT BEACON OF HOPE, RIGHT? >> ESPANOLA NEEDS HOPE. WITH RATES OF POVERTY, CRIME, AND DRUG ADDICTION WELL ABOVE 684 00:39:24,000 --> 00:39:30,000 BE THAT BEACON OF HOPE, RIGHT? >> ESPANOLA NEEDS HOPE. WITH RATES OF POVERTY, CRIME, AND DRUG ADDICTION WELL ABOVE 685 00:39:30,000 --> 00:39:30,067 BE THAT BEACON OF HOPE, RIGHT? >> ESPANOLA NEEDS HOPE. WITH RATES OF POVERTY, CRIME, AND DRUG ADDICTION WELL ABOVE 686 00:39:30,134 --> 00:39:36,000 STATE AND NATIONAL AVERAGES, DESPAIR IS PART OF THE LANDSCAPE. >> A LOT OF OUR KIDS ARE FROM 687 00:39:36,000 --> 00:39:37,308 STATE AND NATIONAL AVERAGES, DESPAIR IS PART OF THE LANDSCAPE. >> A LOT OF OUR KIDS ARE FROM 688 00:39:37,374 --> 00:39:42,000 BROKEN HOMES. >> BEN SANDOVAL IS DIRECTOR OF THE YMCA TEEN CENTER IN ESPANOLA. 689 00:39:42,000 --> 00:39:42,446 BROKEN HOMES. >> BEN SANDOVAL IS DIRECTOR OF THE YMCA TEEN CENTER IN ESPANOLA. 690 00:39:42,513 --> 00:39:48,000 >> THERE'S DRUGS. THERE IS BAD INFLUENCES. WHAT WE TRY TO DO THROUGH THE TEEN CENTER IS TO PROVIDE THEM A 691 00:39:48,000 --> 00:39:51,122 >> THERE'S DRUGS. THERE IS BAD INFLUENCES. WHAT WE TRY TO DO THROUGH THE TEEN CENTER IS TO PROVIDE THEM A 692 00:39:51,188 --> 00:39:54,000 SAFE PLACE. >> IN 2023, SANDOVAL GOT A GRANT FROM THE DEA -- YES, THE DRUG ENFORCEMENT ADMINISTRATION -- 693 00:39:54,000 --> 00:40:00,000 SAFE PLACE. >> IN 2023, SANDOVAL GOT A GRANT FROM THE DEA -- YES, THE DRUG ENFORCEMENT ADMINISTRATION -- 694 00:40:00,000 --> 00:40:00,431 SAFE PLACE. >> IN 2023, SANDOVAL GOT A GRANT FROM THE DEA -- YES, THE DRUG ENFORCEMENT ADMINISTRATION -- 695 00:40:00,498 --> 00:40:06,000 FOR A PROJECT TO BUILD LOWRIDER BICYCLES. >> HOW DOES THAT HELP WITH THE AT-RISK KIDS? 696 00:40:06,000 --> 00:40:07,872 FOR A PROJECT TO BUILD LOWRIDER BICYCLES. >> HOW DOES THAT HELP WITH THE AT-RISK KIDS? 697 00:40:07,938 --> 00:40:12,000 >> FIRST OF ALL, IT GIVES THEM AN OPPORTUNITY TO SAY, HEY, I'VE GOT TO GET TO THE TEEN CENTER AFTER SCHOOL EVERY WEDNESDAY. 698 00:40:12,000 --> 00:40:14,478 >> FIRST OF ALL, IT GIVES THEM AN OPPORTUNITY TO SAY, HEY, I'VE GOT TO GET TO THE TEEN CENTER AFTER SCHOOL EVERY WEDNESDAY. 699 00:40:14,545 --> 00:40:18,000 THEY HAVE TO FEEL THAT THEY'RE VALUED AND THEIR ROLE AS THE ENGINEER, AS THE DESIGNER, AS THE PLANNER, THEY DO IT ALL. 700 00:40:18,000 --> 00:40:24,000 THEY HAVE TO FEEL THAT THEY'RE VALUED AND THEIR ROLE AS THE ENGINEER, AS THE DESIGNER, AS THE PLANNER, THEY DO IT ALL. 701 00:40:24,000 --> 00:40:25,022 THEY HAVE TO FEEL THAT THEY'RE VALUED AND THEIR ROLE AS THE ENGINEER, AS THE DESIGNER, AS THE PLANNER, THEY DO IT ALL. 702 00:40:25,089 --> 00:40:30,000 >> THE FINISHED BIKES WERE SO CREATIVE, SO IMPRESSIVE, THE PRESTIGIOUS MUSEUM OF SPANISH COLONIAL ART IN SANTA FE MOUNTED 703 00:40:30,000 --> 00:40:36,000 >> THE FINISHED BIKES WERE SO CREATIVE, SO IMPRESSIVE, THE PRESTIGIOUS MUSEUM OF SPANISH COLONIAL ART IN SANTA FE MOUNTED 704 00:40:36,000 --> 00:40:36,600 >> THE FINISHED BIKES WERE SO CREATIVE, SO IMPRESSIVE, THE PRESTIGIOUS MUSEUM OF SPANISH COLONIAL ART IN SANTA FE MOUNTED 705 00:40:36,667 --> 00:40:42,000 A SPECIAL EXHIBITION TO PUT THEM ON DISPLAY. >> IT REALLY IS QUITE BEAUTIFUL ART THAT THESE KIDS HAVE 706 00:40:42,000 --> 00:40:44,308 A SPECIAL EXHIBITION TO PUT THEM ON DISPLAY. >> IT REALLY IS QUITE BEAUTIFUL ART THAT THESE KIDS HAVE 707 00:40:44,375 --> 00:40:48,000 CREATED. >> IT'S REMARKABLE. IT WAS JUST THIS VIBRANT BUZZ OF HAPPINESS IN THE ROOM DURING THE 708 00:40:48,000 --> 00:40:51,882 CREATED. >> IT'S REMARKABLE. IT WAS JUST THIS VIBRANT BUZZ OF HAPPINESS IN THE ROOM DURING THE 709 00:40:51,949 --> 00:40:54,000 OPENING. >> THE KIDS HADN'T SEEN THEM LIKE THIS BEFORE? >> NO, NEVER. 710 00:40:54,000 --> 00:40:55,619 OPENING. >> THE KIDS HADN'T SEEN THEM LIKE THIS BEFORE? >> NO, NEVER. 711 00:40:55,686 --> 00:41:00,000 AND I SIT BACK WITH THREE OR FOUR YOUTH AND I SAY, LOOK AT THAT. THEY'RE TAKING PICTURE OF YOUR 712 00:41:00,000 --> 00:41:01,959 AND I SIT BACK WITH THREE OR FOUR YOUTH AND I SAY, LOOK AT THAT. THEY'RE TAKING PICTURE OF YOUR 713 00:41:02,026 --> 00:41:06,000 BIKE. THAT'S WHAT YOU DID. >> CAR SHOWS NOW FEATURE LOWRIDER BICYCLES WITH TROPHIES 714 00:41:06,000 --> 00:41:11,869 BIKE. THAT'S WHAT YOU DID. >> CAR SHOWS NOW FEATURE LOWRIDER BICYCLES WITH TROPHIES 715 00:41:11,936 --> 00:41:12,000 FOR THE BEST. SAME FOR KIDS WITH RADIO CONTROLLED CARS THAT TILT AND BOUNCE. 716 00:41:12,000 --> 00:41:17,641 FOR THE BEST. SAME FOR KIDS WITH RADIO CONTROLLED CARS THAT TILT AND BOUNCE. 717 00:41:17,708 --> 00:41:18,000 AND THE FANCIEST CAR SHOWS RIVAL ANY MUSEUM DISPLAY. >> NOW WHEN YOU SEE CRUISERS, IT LITERALLY CAN FEEL LIKE A MOVING 718 00:41:18,000 --> 00:41:24,000 AND THE FANCIEST CAR SHOWS RIVAL ANY MUSEUM DISPLAY. >> NOW WHEN YOU SEE CRUISERS, IT LITERALLY CAN FEEL LIKE A MOVING 719 00:41:24,000 --> 00:41:26,917 AND THE FANCIEST CAR SHOWS RIVAL ANY MUSEUM DISPLAY. >> NOW WHEN YOU SEE CRUISERS, IT LITERALLY CAN FEEL LIKE A MOVING 720 00:41:26,984 --> 00:41:30,000 ART EXHIBIT, RIGHT, AS YOU'RE WATCHING IT GO BY. >> A MOVING ART EXHIBIT. THAT'S PRETTY GOOD. 721 00:41:30,000 --> 00:41:32,957 ART EXHIBIT, RIGHT, AS YOU'RE WATCHING IT GO BY. >> A MOVING ART EXHIBIT. THAT'S PRETTY GOOD. 722 00:41:33,023 --> 00:41:36,000 >> JOANNE MEDINA'S ARTWORK IS A GLITTERING GRAND PRIX. SHE AND LOW LOW LOVED SHOWING IT OFF FOR US ON AN AFTERNOON 723 00:41:36,000 --> 00:41:42,000 >> JOANNE MEDINA'S ARTWORK IS A GLITTERING GRAND PRIX. SHE AND LOW LOW LOVED SHOWING IT OFF FOR US ON AN AFTERNOON 724 00:41:42,000 --> 00:41:44,168 >> JOANNE MEDINA'S ARTWORK IS A GLITTERING GRAND PRIX. SHE AND LOW LOW LOVED SHOWING IT OFF FOR US ON AN AFTERNOON 725 00:41:44,235 --> 00:41:48,000 CRUISE IN THE HILLS ABOVE ESPANOLA. >> ALL CARS HAVE STYLE. >> THIS ONE, I HAVE TO SAY, IS 726 00:41:48,000 --> 00:41:49,940 CRUISE IN THE HILLS ABOVE ESPANOLA. >> ALL CARS HAVE STYLE. >> THIS ONE, I HAVE TO SAY, IS 727 00:41:50,007 --> 00:41:54,000 EYE CATCHING. >> THANK YOU. THAT'S WHAT I WANTED. [ STOPWATCH TICKING ] 728 00:41:54,000 --> 00:42:00,000 EYE CATCHING. >> THANK YOU. THAT'S WHAT I WANTED. [ STOPWATCH TICKING ] 729 00:42:00,000 --> 00:42:02,419 EYE CATCHING. >> THANK YOU. THAT'S WHAT I WANTED. [ STOPWATCH TICKING ] 730 00:42:02,486 --> 00:42:06,000 [ STOPWATCH TICKING ] >> THE LAST MINUTE OF "60 MINUTES" IS SPONSORED BY UNITED HEALTH CARE, RELIABLE COVERAGE 731 00:42:06,000 --> 00:42:08,125 [ STOPWATCH TICKING ] >> THE LAST MINUTE OF "60 MINUTES" IS SPONSORED BY UNITED HEALTH CARE, RELIABLE COVERAGE 732 00:42:08,192 --> 00:42:12,000 FOR YOUR WHOLE LIFE AHEAD. >> NEXT SUNDAY ON "60 MINUTES" A UNIQUE FIRST LOOK AT THE REBIRTH OF ONE OF THE WORLD'S GREAT 733 00:42:12,000 --> 00:42:18,000 FOR YOUR WHOLE LIFE AHEAD. >> NEXT SUNDAY ON "60 MINUTES" A UNIQUE FIRST LOOK AT THE REBIRTH OF ONE OF THE WORLD'S GREAT 734 00:42:18,000 --> 00:42:19,136 FOR YOUR WHOLE LIFE AHEAD. >> NEXT SUNDAY ON "60 MINUTES" A UNIQUE FIRST LOOK AT THE REBIRTH OF ONE OF THE WORLD'S GREAT 735 00:42:19,203 --> 00:42:24,000 TREASURES, THE CATHEDRAL OF NOTRE DAME IN PARIS. AFTER A DEVASTATING PARIS NEARLY DESTROYED NOTRE DAME IN 2019, 736 00:42:24,000 --> 00:42:29,046 TREASURES, THE CATHEDRAL OF NOTRE DAME IN PARIS. AFTER A DEVASTATING PARIS NEARLY DESTROYED NOTRE DAME IN 2019, 737 00:42:29,113 --> 00:42:30,000 FRENCH PRESIDENT EMANUEL MACRON IMMEDIATELY PROMISED TO HAVE IT OPEN AGAIN WITHIN FIVE YEARS. A LOT OF PEOPLE CALLED HIM 738 00:42:30,000 --> 00:42:36,000 FRENCH PRESIDENT EMANUEL MACRON IMMEDIATELY PROMISED TO HAVE IT OPEN AGAIN WITHIN FIVE YEARS. A LOT OF PEOPLE CALLED HIM 739 00:42:36,000 --> 00:42:36,487 FRENCH PRESIDENT EMANUEL MACRON IMMEDIATELY PROMISED TO HAVE IT OPEN AGAIN WITHIN FIVE YEARS. A LOT OF PEOPLE CALLED HIM 740 00:42:36,553 --> 00:42:42,000 CRAZY, BUT HE'S ABOUT TO KEEP THAT PROMISE. >> BONJOUR, BONJOUR. >> WE MET MACRON AT NOTRE DAME, 741 00:42:42,000 --> 00:42:44,161 CRAZY, BUT HE'S ABOUT TO KEEP THAT PROMISE. >> BONJOUR, BONJOUR. >> WE MET MACRON AT NOTRE DAME, 742 00:42:44,228 --> 00:42:48,000 AS WORKERS SCURRIED TO COMPLETE THE JOB. >> WE HAVE DOZENS OF PEOPLE WORKING HARD TO COMPLETE THE 743 00:42:48,000 --> 00:42:54,000 AS WORKERS SCURRIED TO COMPLETE THE JOB. >> WE HAVE DOZENS OF PEOPLE WORKING HARD TO COMPLETE THE 744 00:42:54,000 --> 00:42:57,474 AS WORKERS SCURRIED TO COMPLETE THE JOB. >> WE HAVE DOZENS OF PEOPLE WORKING HARD TO COMPLETE THE 745 00:42:57,541 --> 00:43:00,000 JOB. >> WHEN "60 MINUTES" RETURNS NEXT WEEK, WE'LL BRING YOU 746 00:43:00,000 --> 00:43:00,244 JOB. >> WHEN "60 MINUTES" RETURNS NEXT WEEK, WE'LL BRING YOU