1
00:00:11,077 --> 00:00:12,000
>>> PEOPLE DRIVE PAST PRISONS
EVERY DAY.
>> YEAH, THEY'RE TERRIFIED OF
THEM.

2
00:00:12,000 --> 00:00:17,317
>>> PEOPLE DRIVE PAST PRISONS
EVERY DAY.
>> YEAH, THEY'RE TERRIFIED OF
THEM.

3
00:00:17,384 --> 00:00:18,000
>> OR THEY DON'T THINK ABOUT
THEM AT ALL?
RIGHT?
IT'S KIND OF LIKE THIS FORGOTTEN

4
00:00:18,000 --> 00:00:23,022
>> OR THEY DON'T THINK ABOUT
THEM AT ALL?
RIGHT?
IT'S KIND OF LIKE THIS FORGOTTEN

5
00:00:23,089 --> 00:00:24,000
ZONE.
I DON'T WANT PEOPLE TO FORGET
ABOUT THIS PLACE.
>> THE UNITED STATES FEDERAL

6
00:00:24,000 --> 00:00:26,793
ZONE.
I DON'T WANT PEOPLE TO FORGET
ABOUT THIS PLACE.
>> THE UNITED STATES FEDERAL

7
00:00:26,860 --> 00:00:30,000
PRISON SYSTEM HAS 158,000
INMATES IN ITS CUSTODY AND LOCKS
UP SOME OF THE MOST DANGEROUS
AND HIGH PROFILE CRIMINALS IN

8
00:00:30,000 --> 00:00:33,900
PRISON SYSTEM HAS 158,000
INMATES IN ITS CUSTODY AND LOCKS
UP SOME OF THE MOST DANGEROUS
AND HIGH PROFILE CRIMINALS IN

9
00:00:33,967 --> 00:00:36,000
THE WORLD.
TONIGHT WE WILL TAKE YOU INSIDE
THE FEDERAL BUREAU OF PRISONS,
AN AGENCY IN CRISIS.

10
00:00:36,000 --> 00:00:40,407
THE WORLD.
TONIGHT WE WILL TAKE YOU INSIDE
THE FEDERAL BUREAU OF PRISONS,
AN AGENCY IN CRISIS.

11
00:00:40,473 --> 00:00:42,000
>>> HE'S THE COMPUTER SCIENTIST
WHO'S KNOWN AS THE GODFATHER OF
A.I.
SO, WHAT DOES HE KNOW THAT WE

12
00:00:42,000 --> 00:00:48,000
>>> HE'S THE COMPUTER SCIENTIST
WHO'S KNOWN AS THE GODFATHER OF
A.I.
SO, WHAT DOES HE KNOW THAT WE

13
00:00:48,000 --> 00:00:48,415
>>> HE'S THE COMPUTER SCIENTIST
WHO'S KNOWN AS THE GODFATHER OF
A.I.
SO, WHAT DOES HE KNOW THAT WE

14
00:00:48,481 --> 00:00:53,953
DON'T?
>> I CAN'T SEE A PATH THAT
GUARANTEES SAFETY.
WE'RE ENTERING A PERIOD OF GREAT

15
00:00:54,020 --> 00:00:59,392
UNCERTAINTY, WHERE WE'RE DEALING
WITH THINGS WE'VE NEVER DEALT
WITH BEFORE.
AND WE CAN'T AFFORD TO GET IT

16
00:00:59,459 --> 00:01:00,000
WRONG WITH THESE THINGS.
>> WHY?
>> WELL, BECAUSE THEY MIGHT TAKE
OVER.

17
00:01:00,000 --> 00:01:06,000
WRONG WITH THESE THINGS.
>> WHY?
>> WELL, BECAUSE THEY MIGHT TAKE
OVER.

18
00:01:06,000 --> 00:01:07,100
WRONG WITH THESE THINGS.
>> WHY?
>> WELL, BECAUSE THEY MIGHT TAKE
OVER.

19
00:01:07,167 --> 00:01:12,000
♪
>> SO YOU ARE BRUCE
SPRINGSTEEN'S BEST FRIEND -- HIS
UNDERBOSS.

20
00:01:12,000 --> 00:01:13,039
♪
>> SO YOU ARE BRUCE
SPRINGSTEEN'S BEST FRIEND -- HIS
UNDERBOSS.

21
00:01:13,106 --> 00:01:18,000
>> DON'T GET ME WRONG --
>> YOU ALSO HAVE A BREAKOUT ROLE
AS TONY SOPRANO'S MOST TRUSTED
ADVISER.

22
00:01:18,000 --> 00:01:20,980
>> DON'T GET ME WRONG --
>> YOU ALSO HAVE A BREAKOUT ROLE
AS TONY SOPRANO'S MOST TRUSTED
ADVISER.

23
00:01:21,047 --> 00:01:24,000
WHO HAS THIS LIFE, LITTLE STEVEN
VAN ZANDT.
>> I DON'T WANT TO LIKEN
SPRINGSTEEN TO A MOB BOSS, BUT

24
00:01:24,000 --> 00:01:30,000
WHO HAS THIS LIFE, LITTLE STEVEN
VAN ZANDT.
>> I DON'T WANT TO LIKEN
SPRINGSTEEN TO A MOB BOSS, BUT

25
00:01:30,000 --> 00:01:30,457
WHO HAS THIS LIFE, LITTLE STEVEN
VAN ZANDT.
>> I DON'T WANT TO LIKEN
SPRINGSTEEN TO A MOB BOSS, BUT

26
00:01:30,523 --> 00:01:36,000
YOU KNOW THE DRILL.
>> I KNOW THOSE DYNAMICS.
I KNOW BEING THE ONLY GUY WHO'S
NOT AFRAID TO TELL THE BOSS THE

27
00:01:36,000 --> 00:01:39,065
YOU KNOW THE DRILL.
>> I KNOW THOSE DYNAMICS.
I KNOW BEING THE ONLY GUY WHO'S
NOT AFRAID TO TELL THE BOSS THE

28
00:01:39,132 --> 00:01:42,000
TRUTH.
>> I'M LESLEY STAHL.
>> I'M BILL WHITAKER.
>> I'M ANDERSON COOPER.

29
00:01:42,000 --> 00:01:42,669
TRUTH.
>> I'M LESLEY STAHL.
>> I'M BILL WHITAKER.
>> I'M ANDERSON COOPER.

30
00:01:42,735 --> 00:01:46,206
>> I'M SHARYN ALFONSI.
>> I'M JON WERTHEIM.
>> I'M SCOTT PELLEY.
THOSE STORIES TONIGHT ON "60

31
00:01:46,272 --> 00:01:48,000
MINUTES."
>>> THE UNITED STATES FEDERAL
PRISON SYSTEM HAS 158,000
INMATES IN ITS CUSTODY AND LOCKS

32
00:01:48,000 --> 00:01:54,000
MINUTES."
>>> THE UNITED STATES FEDERAL
PRISON SYSTEM HAS 158,000
INMATES IN ITS CUSTODY AND LOCKS

33
00:01:54,000 --> 00:02:00,000
MINUTES."
>>> THE UNITED STATES FEDERAL
PRISON SYSTEM HAS 158,000
INMATES IN ITS CUSTODY AND LOCKS

34
00:02:00,000 --> 00:02:02,922
MINUTES."
>>> THE UNITED STATES FEDERAL
PRISON SYSTEM HAS 158,000
INMATES IN ITS CUSTODY AND LOCKS

35
00:02:02,989 --> 00:02:06,000
UP SOME OF THE MOST DANGEROUS
AND HIGH-PROFILE CRIMINALS IN
THE WORLD.
SERIAL KILLERS AND TERRORISTS

36
00:02:06,000 --> 00:02:08,862
UP SOME OF THE MOST DANGEROUS
AND HIGH-PROFILE CRIMINALS IN
THE WORLD.
SERIAL KILLERS AND TERRORISTS

37
00:02:08,928 --> 00:02:12,000
ARE AMONG THOSE INSIDE ITS 122
PRISONS, WHICH INCLUDES SUPERMAX
PENITENTIARIES AND MINIMUM
SECURITY CAMPS.

38
00:02:12,000 --> 00:02:17,103
ARE AMONG THOSE INSIDE ITS 122
PRISONS, WHICH INCLUDES SUPERMAX
PENITENTIARIES AND MINIMUM
SECURITY CAMPS.

39
00:02:17,170 --> 00:02:18,000
THE COST TO AMERICAN TAX PAYERS
IS MORE THAN $8 BILLION A YEAR.
TONIGHT WE WILL TAKE YOU INSIDE
THE FEDERAL BUREAU OF PRISONS,

40
00:02:18,000 --> 00:02:24,000
THE COST TO AMERICAN TAX PAYERS
IS MORE THAN $8 BILLION A YEAR.
TONIGHT WE WILL TAKE YOU INSIDE
THE FEDERAL BUREAU OF PRISONS,

41
00:02:24,000 --> 00:02:25,712
THE COST TO AMERICAN TAX PAYERS
IS MORE THAN $8 BILLION A YEAR.
TONIGHT WE WILL TAKE YOU INSIDE
THE FEDERAL BUREAU OF PRISONS,

42
00:02:25,778 --> 00:02:30,000
AN AGENCY IN CRISIS.
A SERIES OF GOVERNMENT
INVESTIGATIONS HAS FOUND THE
BUREAU'S WORKFORCE IS DANGEROUS

43
00:02:30,000 --> 00:02:32,552
AN AGENCY IN CRISIS.
A SERIES OF GOVERNMENT
INVESTIGATIONS HAS FOUND THE
BUREAU'S WORKFORCE IS DANGEROUS

44
00:02:32,619 --> 00:02:36,000
RI UNDERSTAFFED.
AND AS WE FIRST REPORTED IN
JANUARY, INSIDE ITS WOMEN'S
PRISONS, THERE IS AN ALARMING

45
00:02:36,000 --> 00:02:39,492
RI UNDERSTAFFED.
AND AS WE FIRST REPORTED IN
JANUARY, INSIDE ITS WOMEN'S
PRISONS, THERE IS AN ALARMING

46
00:02:39,559 --> 00:02:42,000
PATTERN OF ABUSE.
COLETTE PETERS IS IN CHARGE OF
FIXES THE BUREAU OF PRISONS.
SHE'S THE SIXTH DIRECTOR IN SIX

47
00:02:42,000 --> 00:02:48,000
PATTERN OF ABUSE.
COLETTE PETERS IS IN CHARGE OF
FIXES THE BUREAU OF PRISONS.
SHE'S THE SIXTH DIRECTOR IN SIX

48
00:02:48,000 --> 00:02:48,568
PATTERN OF ABUSE.
COLETTE PETERS IS IN CHARGE OF
FIXES THE BUREAU OF PRISONS.
SHE'S THE SIXTH DIRECTOR IN SIX

49
00:02:48,635 --> 00:02:54,000
YEARS.
>> Reporter: THIS IS ALICEVILLE,
A LOW-SECURITY WOMEN'S PRISON IN
RURAL ALABAMA, WHERE MORE THAN

50
00:02:54,000 --> 00:02:56,309
YEARS.
>> Reporter: THIS IS ALICEVILLE,
A LOW-SECURITY WOMEN'S PRISON IN
RURAL ALABAMA, WHERE MORE THAN

51
00:02:56,376 --> 00:03:00,000
1,400 INMATES ARE SERVING TIME.
>> PEOPLE DRIVE PAST PRISONS
EVERY DAY.
>> YEAH, THEY'RE TERRIFIED OF

52
00:03:00,000 --> 00:03:02,015
1,400 INMATES ARE SERVING TIME.
>> PEOPLE DRIVE PAST PRISONS
EVERY DAY.
>> YEAH, THEY'RE TERRIFIED OF

53
00:03:02,081 --> 00:03:06,000
THEM.
OR THEY DON'T THINK ABOUT THEM
AT ALL, RIGHT?
IT'S, KIND OF, LIKE, THIS

54
00:03:06,000 --> 00:03:06,786
THEM.
OR THEY DON'T THINK ABOUT THEM
AT ALL, RIGHT?
IT'S, KIND OF, LIKE, THIS

55
00:03:06,853 --> 00:03:11,190
FORGOTTEN ZONE.
I DON'T WANT PEOPLE TO FORGET
ABOUT THIS PLACE.
>> Reporter: COLETTE PETERS

56
00:03:11,257 --> 00:03:12,000
BECAME THE DIRECTOR OF PRISONS
IN AUGUST OF 2022.
AFTER A 21 YEAR IN CORRECTIONS,
<u>%</u>

57
00:03:12,000 --> 00:03:18,000
BECAME THE DIRECTOR OF PRISONS
IN AUGUST OF 2022.
AFTER A 21 YEAR IN CORRECTIONS,
<u>%</u>

58
00:03:18,000 --> 00:03:18,565
BECAME THE DIRECTOR OF PRISONS
IN AUGUST OF 2022.
AFTER A 21 YEAR IN CORRECTIONS,
<u>%</u>

59
00:03:18,631 --> 00:03:23,670
SHE'S BUILT A REPUTATION AS A
REFORMER.
>> I LOVE YOUR POSTER.
WE ARE STRONGER THAN WE THINK,

60
00:03:23,736 --> 00:03:24,000
AREN'T WE?
>> Reporter: SHE WAS CREDITED
WITH SHAPING OREGON'S STATE
PRISON SYSTEM BY PRIORITIZING

61
00:03:24,000 --> 00:03:28,908
AREN'T WE?
>> Reporter: SHE WAS CREDITED
WITH SHAPING OREGON'S STATE
PRISON SYSTEM BY PRIORITIZING

62
00:03:28,975 --> 00:03:30,000
STAFF MENTAL HEALTH SUPPORT AND
ADVOCATING FOR THE COMPASSIONATE
TREATMENT OF INMATES.
>> I HAVE THIS VERY EARLY MEMORY

63
00:03:30,000 --> 00:03:36,000
STAFF MENTAL HEALTH SUPPORT AND
ADVOCATING FOR THE COMPASSIONATE
TREATMENT OF INMATES.
>> I HAVE THIS VERY EARLY MEMORY

64
00:03:36,000 --> 00:03:36,416
STAFF MENTAL HEALTH SUPPORT AND
ADVOCATING FOR THE COMPASSIONATE
TREATMENT OF INMATES.
>> I HAVE THIS VERY EARLY MEMORY

65
00:03:36,482 --> 00:03:42,000
IN KINDERGARTEN, WHERE AN
INDIVIDUAL CAME IN WITH A POCKET
KNIFE AND WAS MARCHED TO THE
PRINCIPAL'S OFFICE.

66
00:03:42,000 --> 00:03:42,021
IN KINDERGARTEN, WHERE AN
INDIVIDUAL CAME IN WITH A POCKET
KNIFE AND WAS MARCHED TO THE
PRINCIPAL'S OFFICE.

67
00:03:42,088 --> 00:03:47,427
AND I JUST REMEMBER IN THAT
MOMENT SAYING, I WANT TO HELP
HIM.
>> MANY PEOPLE IN YOUR CUSTODY

68
00:03:47,493 --> 00:03:48,000
ARE THERE BECAUSE OF HORRIFIC
CRIMES.
WHY DO THEY DESERVE COMPASSION?
>> BECAUSE 95% OF THEM ARE GOING

69
00:03:48,000 --> 00:03:54,000
ARE THERE BECAUSE OF HORRIFIC
CRIMES.
WHY DO THEY DESERVE COMPASSION?
>> BECAUSE 95% OF THEM ARE GOING

70
00:03:54,000 --> 00:03:54,834
ARE THERE BECAUSE OF HORRIFIC
CRIMES.
WHY DO THEY DESERVE COMPASSION?
>> BECAUSE 95% OF THEM ARE GOING

71
00:03:54,901 --> 00:03:59,739
TO COME BACK TO OUR COMMUNITY
SOME DAY.
AND I WANT THEM TO BE
PRODUCTIVE, TAX-PAYING CITIZENS,

72
00:03:59,806 --> 00:04:00,000
WHO NO LONGER COMMIT CRIMES.
>> Reporter: BUT THE BUREAU OF
PRISONS IS SO INADEQUATELY
STAFFED, IT IS STRUGGLING TO

73
00:04:00,000 --> 00:04:06,000
WHO NO LONGER COMMIT CRIMES.
>> Reporter: BUT THE BUREAU OF
PRISONS IS SO INADEQUATELY
STAFFED, IT IS STRUGGLING TO

74
00:04:06,000 --> 00:04:09,082
WHO NO LONGER COMMIT CRIMES.
>> Reporter: BUT THE BUREAU OF
PRISONS IS SO INADEQUATELY
STAFFED, IT IS STRUGGLING TO

75
00:04:09,148 --> 00:04:12,000
FULFILL ITS MISSION,
REHABILITATING INMATES AND
KEEPING ITS PRISONS SAFE.
GOVERNMENT WATCHDOGS HAVE

76
00:04:12,000 --> 00:04:17,657
FULFILL ITS MISSION,
REHABILITATING INMATES AND
KEEPING ITS PRISONS SAFE.
GOVERNMENT WATCHDOGS HAVE

77
00:04:17,724 --> 00:04:18,000
DOCUMENTED DISREPAIR IN ALL OF
ITS INSTITUTIONS, REQUIRING MORE
THAN $2 BILLION IN FIXES.
AND EMPLOYEES RANK THE BUREAU OF

78
00:04:18,000 --> 00:04:24,000
DOCUMENTED DISREPAIR IN ALL OF
ITS INSTITUTIONS, REQUIRING MORE
THAN $2 BILLION IN FIXES.
AND EMPLOYEES RANK THE BUREAU OF

79
00:04:24,000 --> 00:04:25,331
DOCUMENTED DISREPAIR IN ALL OF
ITS INSTITUTIONS, REQUIRING MORE
THAN $2 BILLION IN FIXES.
AND EMPLOYEES RANK THE BUREAU OF

80
00:04:25,398 --> 00:04:30,000
PRISONS THE WORST PLACE TO WORK
IN THE FEDERAL GOVERNMENT.
>> IT'S VERY RARE FOR THE MEDIA
TO BE ALLOWED INSIDE A FEDERAL

81
00:04:30,000 --> 00:04:31,604
PRISONS THE WORST PLACE TO WORK
IN THE FEDERAL GOVERNMENT.
>> IT'S VERY RARE FOR THE MEDIA
TO BE ALLOWED INSIDE A FEDERAL

82
00:04:31,671 --> 00:04:34,741
PRISON.
WHY ARE WE HERE?
>> I TRULY BELIEVE IN
TRANSPARENCY.

83
00:04:34,807 --> 00:04:36,000
ARE WE PERFECT?
NO.
DO WE HAVE ISSUES WE NEED TO
RESOLVE?

84
00:04:36,000 --> 00:04:39,312
ARE WE PERFECT?
NO.
DO WE HAVE ISSUES WE NEED TO
RESOLVE?

85
00:04:39,379 --> 00:04:42,000
ABSOLUTELY.
BUT I WANT PEOPLE TO SEE THE
GOOD STUFF.
>> Reporter: WE TOURED

86
00:04:42,000 --> 00:04:43,282
ABSOLUTELY.
BUT I WANT PEOPLE TO SEE THE
GOOD STUFF.
>> Reporter: WE TOURED

87
00:04:43,349 --> 00:04:48,000
ALICEVILLE WITH DIRECTOR PETERS
AND SAW WHERE INMATES LIVE,
LEARN NEW TRADES, AND WORK, ON
THIS DAY SEWING SLEEPING BAGS

88
00:04:48,000 --> 00:04:51,157
ALICEVILLE WITH DIRECTOR PETERS
AND SAW WHERE INMATES LIVE,
LEARN NEW TRADES, AND WORK, ON
THIS DAY SEWING SLEEPING BAGS

89
00:04:51,224 --> 00:04:54,000
FOR THE MILITARY, A COVETED JOB
BECAUSE IT PAYS $1.15 AN HOUR.
>> YOU LADIES ARE AMAZING, AND
WHEN YOU LEAVE HERE, YOU'RE

90
00:04:54,000 --> 00:04:59,532
FOR THE MILITARY, A COVETED JOB
BECAUSE IT PAYS $1.15 AN HOUR.
>> YOU LADIES ARE AMAZING, AND
WHEN YOU LEAVE HERE, YOU'RE

91
00:04:59,599 --> 00:05:00,000
GOING TO BE INCREDIBLE.
>> THIS CEREMONY IS FOR INMATES
GRADUATING FROM A FAITH-BASED
PROGRAM PREPARING THEM FOR LIFE

92
00:05:00,000 --> 00:05:06,000
GOING TO BE INCREDIBLE.
>> THIS CEREMONY IS FOR INMATES
GRADUATING FROM A FAITH-BASED
PROGRAM PREPARING THEM FOR LIFE

93
00:05:06,000 --> 00:05:08,207
GOING TO BE INCREDIBLE.
>> THIS CEREMONY IS FOR INMATES
GRADUATING FROM A FAITH-BASED
PROGRAM PREPARING THEM FOR LIFE

94
00:05:08,274 --> 00:05:12,000
ON THE OUTSIDE, BY CONNECTING
THEM WITH COMMUNITY LEADERS AND
TEACHING THEM LIFE SKILLS, LIKE
ANGER MANAGEENT.

95
00:05:12,000 --> 00:05:14,414
ON THE OUTSIDE, BY CONNECTING
THEM WITH COMMUNITY LEADERS AND
TEACHING THEM LIFE SKILLS, LIKE
ANGER MANAGEENT.

96
00:05:14,480 --> 00:05:18,000
BUT THE REALITY IS NEARLY HALF
OF FEDERAL INMATES WILL END UP
BACK BEHIND BARS OR ARRESTED
WITHIN THREE YEARS OF GETTING

97
00:05:18,000 --> 00:05:20,987
BUT THE REALITY IS NEARLY HALF
OF FEDERAL INMATES WILL END UP
BACK BEHIND BARS OR ARRESTED
WITHIN THREE YEARS OF GETTING

98
00:05:21,054 --> 00:05:24,000
OUT.
>> A LOT OF THOSE FACES IN THERE
WHO HAVE SO MUCH PROMISE AND
HOPE TODAY COULD END UP RIGHT

99
00:05:24,000 --> 00:05:26,025
OUT.
>> A LOT OF THOSE FACES IN THERE
WHO HAVE SO MUCH PROMISE AND
HOPE TODAY COULD END UP RIGHT

100
00:05:26,092 --> 00:05:30,000
BACK IN HERE.
>> YEAH.
YOU KNOW, I THINK WE HAVE A LOT
OF WORK TO DO TO DIAL DOWN THAT

101
00:05:30,000 --> 00:05:31,664
BACK IN HERE.
>> YEAH.
YOU KNOW, I THINK WE HAVE A LOT
OF WORK TO DO TO DIAL DOWN THAT

102
00:05:31,731 --> 00:05:36,000
RECIDIVISM RATE.
WE HAVE TO SEND FEWER PEOPLE TO
PRISON FOR SHORTER PERIODS OF
TIME.

103
00:05:36,000 --> 00:05:36,469
RECIDIVISM RATE.
WE HAVE TO SEND FEWER PEOPLE TO
PRISON FOR SHORTER PERIODS OF
TIME.

104
00:05:36,536 --> 00:05:42,000
AND THEN WHEN THEY'RE HERE, DO
THINGS LIKE THIS.
>> YOU ALSO HAVE A MAJOR
STAFFING ISSUE, AND PEOPLE CAN'T

105
00:05:42,000 --> 00:05:44,043
AND THEN WHEN THEY'RE HERE, DO
THINGS LIKE THIS.
>> YOU ALSO HAVE A MAJOR
STAFFING ISSUE, AND PEOPLE CAN'T

106
00:05:44,110 --> 00:05:48,000
GET THE CLASSES THEY NEED.
>> STAFFING WAS A PROBLEM BEFORE
THE PANDEMIC.
SO, THOSE RECRUITMENT EFFORTS

107
00:05:48,000 --> 00:05:49,649
GET THE CLASSES THEY NEED.
>> STAFFING WAS A PROBLEM BEFORE
THE PANDEMIC.
SO, THOSE RECRUITMENT EFFORTS

108
00:05:49,716 --> 00:05:54,000
AND RETENTION EFFORTS HAVE
GOTTEN HARD.
>> HOW MANY CORRECTIONAL
OFFICERS DO YOU NEED ON STAFF TO

109
00:05:54,000 --> 00:05:54,353
AND RETENTION EFFORTS HAVE
GOTTEN HARD.
>> HOW MANY CORRECTIONAL
OFFICERS DO YOU NEED ON STAFF TO

110
00:05:54,420 --> 00:06:00,000
GET YOU OUT OF THIS STAFFING
CRISIS?
>> SO, WE HOPE TO HAVE THAT REAL
NUMBER FOR YOU AND THE PUBLIC

111
00:06:00,000 --> 00:06:01,060
GET YOU OUT OF THIS STAFFING
CRISIS?
>> SO, WE HOPE TO HAVE THAT REAL
NUMBER FOR YOU AND THE PUBLIC

112
00:06:01,127 --> 00:06:06,000
VERY SOON.
>> THAT SEEMS LIKE A CRITICAL
NUMBER.
HOW WAS THAT NOT ON YOUR DESK

113
00:06:06,000 --> 00:06:06,733
VERY SOON.
>> THAT SEEMS LIKE A CRITICAL
NUMBER.
HOW WAS THAT NOT ON YOUR DESK

114
00:06:06,799 --> 00:06:12,000
WHEN YOU TOOK THIS JOB ON DAY
ONE AND STILL NOT THERE A YEAR
LATER?
>> THE GOOD NEWS IS, THIS WAS A

115
00:06:12,000 --> 00:06:12,805
WHEN YOU TOOK THIS JOB ON DAY
ONE AND STILL NOT THERE A YEAR
LATER?
>> THE GOOD NEWS IS, THIS WAS A

116
00:06:12,872 --> 00:06:18,000
PROBLEM THE BUREAU WAS TRYING TO
SOLVE BEFORE I GOT HERE, AND
WE'RE IN THE PROCESS OF SOLVING
IT.

117
00:06:18,000 --> 00:06:19,245
PROBLEM THE BUREAU WAS TRYING TO
SOLVE BEFORE I GOT HERE, AND
WE'RE IN THE PROCESS OF SOLVING
IT.

118
00:06:19,312 --> 00:06:24,000
>> SHE EXPECTS TO HAVE THE
NUMBER OF OFFICERS NEEDED BY
OCTOBER, MORE THAN TWO YEARS
AFTER TAKING OFFICE.

119
00:06:24,000 --> 00:06:28,921
>> SHE EXPECTS TO HAVE THE
NUMBER OF OFFICERS NEEDED BY
OCTOBER, MORE THAN TWO YEARS
AFTER TAKING OFFICE.

120
00:06:28,988 --> 00:06:30,000
BUT SHANE FAUS SEY SAYS HE KNOW
WHAT THAT NUMBER IS NOW.
>> WE'RE SHORT ABOUT 8,000
POSITIONS NATIONWIDE.

121
00:06:30,000 --> 00:06:35,328
BUT SHANE FAUS SEY SAYS HE KNOW
WHAT THAT NUMBER IS NOW.
>> WE'RE SHORT ABOUT 8,000
POSITIONS NATIONWIDE.

122
00:06:35,394 --> 00:06:36,000
>> HOW BAD IS IT?
>> THE RESULT IS ONE OF US
LOSING OUR LIFE.
AND IT'S THAT BAD.

123
00:06:36,000 --> 00:06:40,566
>> HOW BAD IS IT?
>> THE RESULT IS ONE OF US
LOSING OUR LIFE.
AND IT'S THAT BAD.

124
00:06:40,633 --> 00:06:42,000
WE CAN'T CONTINUE WITH THIS
COURSE.
>> Reporter: BY THE UNION'S
COUNT, THE BUREAU OF PRISONS IS

125
00:06:42,000 --> 00:06:45,438
WE CAN'T CONTINUE WITH THIS
COURSE.
>> Reporter: BY THE UNION'S
COUNT, THE BUREAU OF PRISONS IS

126
00:06:45,505 --> 00:06:48,000
DOWN ABOUT 40% OF THE
CORRECTIONAL OFFICERS IT NEEDS.
>> THE LESS SUPERVISION YOU
HAVE, THE MORE BAD THINGS

127
00:06:48,000 --> 00:06:52,345
DOWN ABOUT 40% OF THE
CORRECTIONAL OFFICERS IT NEEDS.
>> THE LESS SUPERVISION YOU
HAVE, THE MORE BAD THINGS

128
00:06:52,411 --> 00:06:54,000
HAPPEN.
MISCONDUCT INCREASES, VIOLENCE
INCREASES.
>> Reporter: AND BECAUSE THERE

129
00:06:54,000 --> 00:06:56,649
HAPPEN.
MISCONDUCT INCREASES, VIOLENCE
INCREASES.
>> Reporter: AND BECAUSE THERE

130
00:06:56,716 --> 00:07:00,000
ARE NOT ENOUGH OFFICERS, THE
BUREAU RELIES ON OTHER PRISON
STAFF TO STEP IN.
IT'S A CONTROVERSIAL PRACTICE

131
00:07:00,000 --> 00:07:03,456
ARE NOT ENOUGH OFFICERS, THE
BUREAU RELIES ON OTHER PRISON
STAFF TO STEP IN.
IT'S A CONTROVERSIAL PRACTICE

132
00:07:03,523 --> 00:07:06,000
CALLED AUGMENTATION.
>> TEACHERS, NURSES, DOCTORS,
FOOD SERVICE PEOPLE, THE PEOPLE
THAT MAINTAIN FACILITIES.

133
00:07:06,000 --> 00:07:11,297
CALLED AUGMENTATION.
>> TEACHERS, NURSES, DOCTORS,
FOOD SERVICE PEOPLE, THE PEOPLE
THAT MAINTAIN FACILITIES.

134
00:07:11,364 --> 00:07:12,000
>> THEY'RE DOING WHAT NOW?
>> THEY'RE IN A HOUSING UNIT
SUPERVISING OFFENDERS.
>> DO THEY HAVE TRAINING IN

135
00:07:12,000 --> 00:07:18,000
>> THEY'RE DOING WHAT NOW?
>> THEY'RE IN A HOUSING UNIT
SUPERVISING OFFENDERS.
>> DO THEY HAVE TRAINING IN

136
00:07:18,000 --> 00:07:18,137
>> THEY'RE DOING WHAT NOW?
>> THEY'RE IN A HOUSING UNIT
SUPERVISING OFFENDERS.
>> DO THEY HAVE TRAINING IN

137
00:07:18,204 --> 00:07:22,141
THAT?
>> THEY DO.
BUT I CAN TELL YOU, I'M NO
BETTER A PLUMBER THAN THEY ARE A

138
00:07:22,208 --> 00:07:24,000
CORRECTIONAL OFFICER.
I CAN WALK INTO A HOUSING UNIT
AND TELL YOU SOMETHING'S RIGHT
OR SOMETHING'S WRONG.

139
00:07:24,000 --> 00:07:27,180
CORRECTIONAL OFFICER.
I CAN WALK INTO A HOUSING UNIT
AND TELL YOU SOMETHING'S RIGHT
OR SOMETHING'S WRONG.

140
00:07:27,246 --> 00:07:30,000
YOU DEVELOP THAT OVER YEARS OF
EXPERIENCE.
>> LET'S BREAK THIS DOWN.
WE ARE TALKING ABOUT HVAC

141
00:07:30,000 --> 00:07:32,752
YOU DEVELOP THAT OVER YEARS OF
EXPERIENCE.
>> LET'S BREAK THIS DOWN.
WE ARE TALKING ABOUT HVAC

142
00:07:32,819 --> 00:07:36,000
REPAIRMEN AND ACCOUNTANTS WHO
ARE NOW GUARDING INMATES.
THAT DOESN'T SOUND SAFE.
>> SO, IT IS.

143
00:07:36,000 --> 00:07:39,992
REPAIRMEN AND ACCOUNTANTS WHO
ARE NOW GUARDING INMATES.
THAT DOESN'T SOUND SAFE.
>> SO, IT IS.

144
00:07:40,059 --> 00:07:42,000
SO, THEY HAVE THE EXACT SAME
TRAINING AS THE CORRECTIONAL
OFFICERS.
NOW, WHAT I WILL SAY IS

145
00:07:42,000 --> 00:07:46,032
SO, THEY HAVE THE EXACT SAME
TRAINING AS THE CORRECTIONAL
OFFICERS.
NOW, WHAT I WILL SAY IS

146
00:07:46,098 --> 00:07:48,000
AUGMENTATION SHOULD ONLY BE USED
IN THE SHORT TERM.
WE'VE USED THIS NOW TO SOLVE A
LONG-TERM RETENTION AND

147
00:07:48,000 --> 00:07:53,172
AUGMENTATION SHOULD ONLY BE USED
IN THE SHORT TERM.
WE'VE USED THIS NOW TO SOLVE A
LONG-TERM RETENTION AND

148
00:07:53,239 --> 00:07:54,000
RECRUITMENT PROBLEM.
AND THAT ISN'T RIGHT.
>> Reporter: ON THIS POINT, THE
UNION AND MANAGEMENT AGREE.

149
00:07:54,000 --> 00:07:59,478
RECRUITMENT PROBLEM.
AND THAT ISN'T RIGHT.
>> Reporter: ON THIS POINT, THE
UNION AND MANAGEMENT AGREE.

150
00:07:59,545 --> 00:08:00,000
PRISON STAFF, LIKE TEACHERS AND
DOCTORS, NEED TO BE ABLE TO DO
THEIR JOBS SO THAT INMATES DON'T
LOSE ACCESS TO CRITICAL SERVICES

151
00:08:00,000 --> 00:08:06,000
PRISON STAFF, LIKE TEACHERS AND
DOCTORS, NEED TO BE ABLE TO DO
THEIR JOBS SO THAT INMATES DON'T
LOSE ACCESS TO CRITICAL SERVICES

152
00:08:06,000 --> 00:08:07,887
PRISON STAFF, LIKE TEACHERS AND
DOCTORS, NEED TO BE ABLE TO DO
THEIR JOBS SO THAT INMATES DON'T
LOSE ACCESS TO CRITICAL SERVICES

153
00:08:07,954 --> 00:08:11,891
AND PROGRAMS.
>> THERE ARE BUZZ PHRASES,
EVERYBODY IS A CORRECTIONAL
OFFICER FIRST.

154
00:08:11,958 --> 00:08:12,000
THAT SOUNDS GOOD ON PAPER.
BUT IF YOU TAKE THE TEACHER OUT
OF THE CLASSROOM AND NOBODY'S
TEACHING THE OFFENDER THE SKILLS

155
00:08:12,000 --> 00:08:18,000
THAT SOUNDS GOOD ON PAPER.
BUT IF YOU TAKE THE TEACHER OUT
OF THE CLASSROOM AND NOBODY'S
TEACHING THE OFFENDER THE SKILLS

156
00:08:18,000 --> 00:08:18,364
THAT SOUNDS GOOD ON PAPER.
BUT IF YOU TAKE THE TEACHER OUT
OF THE CLASSROOM AND NOBODY'S
TEACHING THE OFFENDER THE SKILLS

157
00:08:18,431 --> 00:08:24,000
TO GO BACK OUT TO SOCIETY, WE'RE
JUST BACK TO WAREHOUSING PEOPLE.
>> Reporter: WHILE WE WALK THE
HALLS OF ALICEVILLE, CLASSROOMS

158
00:08:24,000 --> 00:08:26,906
TO GO BACK OUT TO SOCIETY, WE'RE
JUST BACK TO WAREHOUSING PEOPLE.
>> Reporter: WHILE WE WALK THE
HALLS OF ALICEVILLE, CLASSROOMS

159
00:08:26,973 --> 00:08:30,000
WERE PACKED.
BUT SEVERAL INMATES TOLD US WHAT
WE SAW ON OUR TOUR WAS STAGED.
>> AM I GETTING A REAL LOOK AT

160
00:08:30,000 --> 00:08:33,412
WERE PACKED.
BUT SEVERAL INMATES TOLD US WHAT
WE SAW ON OUR TOUR WAS STAGED.
>> AM I GETTING A REAL LOOK AT

161
00:08:33,479 --> 00:08:36,000
WHAT LIFE IS LIKE IN HERE TODAY?
>> ABSOLUTELY NOT.
>> NO.
>> HMM-MM, NO, ABSOLUTELY NOT.

162
00:08:36,000 --> 00:08:38,684
WHAT LIFE IS LIKE IN HERE TODAY?
>> ABSOLUTELY NOT.
>> NO.
>> HMM-MM, NO, ABSOLUTELY NOT.

163
00:08:38,751 --> 00:08:42,000
>> THE STAFF IS VERY
DISRESPECTFUL HERE.
>> EVEN THOUGH WE MADE MISTAKES,
WHEN WE'RE OUT HERE, WE'RE NOT

164
00:08:42,000 --> 00:08:45,191
>> THE STAFF IS VERY
DISRESPECTFUL HERE.
>> EVEN THOUGH WE MADE MISTAKES,
WHEN WE'RE OUT HERE, WE'RE NOT

165
00:08:45,258 --> 00:08:48,000
TREATED WITH RESPECT.
>> DO YOU FEEL SAFE HERE?
>> SOMETIMES.
>> PRISON IS PRISON.

166
00:08:48,000 --> 00:08:49,795
TREATED WITH RESPECT.
>> DO YOU FEEL SAFE HERE?
>> SOMETIMES.
>> PRISON IS PRISON.

167
00:08:49,862 --> 00:08:54,000
YOU SEE WHAT I'M SAYING?
>> TELL ME ABOUT STAFFING.
>> THEY'RE SHORT ON STAFF ALL
THE TIME.

168
00:08:54,000 --> 00:08:55,201
YOU SEE WHAT I'M SAYING?
>> TELL ME ABOUT STAFFING.
>> THEY'RE SHORT ON STAFF ALL
THE TIME.

169
00:08:55,268 --> 00:08:59,438
THERE'S TIMES YOU DON'T KNOW IF
YOU'RE GOING TO BE ABLE TO GO
OUTSIDE BECAUSE SOMEBODY DIDN'T
COME TO WORK.

170
00:08:59,505 --> 00:09:00,000
>> AND IF YOU WERE TO SPEAK UP
ABOUT SOME OF THESE ISSUES
YOU'RE TELLING ME ABOUT, WHAT
WOULD HAPPEN?

171
00:09:00,000 --> 00:09:06,000
>> AND IF YOU WERE TO SPEAK UP
ABOUT SOME OF THESE ISSUES
YOU'RE TELLING ME ABOUT, WHAT
WOULD HAPPEN?

172
00:09:06,000 --> 00:09:06,145
>> AND IF YOU WERE TO SPEAK UP
ABOUT SOME OF THESE ISSUES
YOU'RE TELLING ME ABOUT, WHAT
WOULD HAPPEN?

173
00:09:06,212 --> 00:09:10,549
>> YOU'RE GOING TO THE SHU.
THE.
>> SHU, SHORT FOR SPECIAL
HOUSING UNIT, IS THE JAIL INSIDE

174
00:09:10,616 --> 00:09:12,000
A PRISON, WHERE INMATES ARE
SEGREGATED FROM THE GENERAL
POPULATION AND SELDOM LET
OUTSIDE OF THEIR CELLS.

175
00:09:12,000 --> 00:09:17,023
A PRISON, WHERE INMATES ARE
SEGREGATED FROM THE GENERAL
POPULATION AND SELDOM LET
OUTSIDE OF THEIR CELLS.

176
00:09:17,089 --> 00:09:18,000
>> MAKE YOU NERVOUS TO TALK TO
ME RIGHT FNOW?
>> A LITTLE BIT.
>> THE DIRECTOR IS COMING TODAY.

177
00:09:18,000 --> 00:09:24,000
>> MAKE YOU NERVOUS TO TALK TO
ME RIGHT FNOW?
>> A LITTLE BIT.
>> THE DIRECTOR IS COMING TODAY.

178
00:09:24,000 --> 00:09:24,063
>> MAKE YOU NERVOUS TO TALK TO
ME RIGHT FNOW?
>> A LITTLE BIT.
>> THE DIRECTOR IS COMING TODAY.

179
00:09:24,130 --> 00:09:30,000
WHAT DOES SHE NEED TO KNOW ABOUT
ALICE VILL?
>> FIX IT.
>> WE NEED MORE FUOPPORTUNITY T

180
00:09:30,000 --> 00:09:30,636
WHAT DOES SHE NEED TO KNOW ABOUT
ALICE VILL?
>> FIX IT.
>> WE NEED MORE FUOPPORTUNITY T

181
00:09:30,703 --> 00:09:36,000
GROW AND REHABILITATE BECAUSE WE
DON'T HAVE THAT HERE.
>> I TALKED TO A HANDFUL OF
INMATES TODAY, AND THEY SAY

182
00:09:36,000 --> 00:09:37,677
GROW AND REHABILITATE BECAUSE WE
DON'T HAVE THAT HERE.
>> I TALKED TO A HANDFUL OF
INMATES TODAY, AND THEY SAY

183
00:09:37,743 --> 00:09:42,000
YOU'RE GETTING A CLEANED UP
VERSION OF WHAT LIFE IS LIKE.
>> I'VE BEEN DOING THIS WORK FOR
A LONG TIME, SO I CAN SEE WHEN

184
00:09:42,000 --> 00:09:43,916
YOU'RE GETTING A CLEANED UP
VERSION OF WHAT LIFE IS LIKE.
>> I'VE BEEN DOING THIS WORK FOR
A LONG TIME, SO I CAN SEE WHEN

185
00:09:43,983 --> 00:09:48,000
THINGS HAVE BEEN SWEPT UNDER THE
RUG, IF YOU WILL.
I'M NOT NAIVE.
AND WHEN ANYBODY COMES TO YOUR

186
00:09:48,000 --> 00:09:50,156
THINGS HAVE BEEN SWEPT UNDER THE
RUG, IF YOU WILL.
I'M NOT NAIVE.
AND WHEN ANYBODY COMES TO YOUR

187
00:09:50,222 --> 00:09:54,000
HOUSE, YOU CLEAN IT UP.
>> Reporter: THE RAMPANT SEXUAL
ABUSE OF FEMALE INMATES BY THE
MALE OFFICERS WHO ARE SUPPOSED

188
00:09:54,000 --> 00:09:58,331
HOUSE, YOU CLEAN IT UP.
>> Reporter: THE RAMPANT SEXUAL
ABUSE OF FEMALE INMATES BY THE
MALE OFFICERS WHO ARE SUPPOSED

189
00:09:58,397 --> 00:10:00,000
TO PROTECT THEM.
WOMEN ARE HOUSED IN NEARLY A
QUARTER OF FEDERAL PRISONS.
AND A 2022 SENATE INVESTIGATION

190
00:10:00,000 --> 00:10:03,536
TO PROTECT THEM.
WOMEN ARE HOUSED IN NEARLY A
QUARTER OF FEDERAL PRISONS.
AND A 2022 SENATE INVESTIGATION

191
00:10:03,602 --> 00:10:06,000
FOUND THAT BUREAU STAFF HAVE
SEXUALLY ABUSED FEMALE PRISONERS
IN AT LEAST TWO-THIRDS OF THOSE
FACILITIES OVER THE PAST DECADE.

192
00:10:06,000 --> 00:10:12,000
FOUND THAT BUREAU STAFF HAVE
SEXUALLY ABUSED FEMALE PRISONERS
IN AT LEAST TWO-THIRDS OF THOSE
FACILITIES OVER THE PAST DECADE.

193
00:10:12,000 --> 00:10:13,446
FOUND THAT BUREAU STAFF HAVE
SEXUALLY ABUSED FEMALE PRISONERS
IN AT LEAST TWO-THIRDS OF THOSE
FACILITIES OVER THE PAST DECADE.

194
00:10:13,512 --> 00:10:18,000
ALICEVILLE IS NO EXCEPTION.
THREE OFFICERS HAVE BEEN
CONVICTED OF SEXUAL ABUSE SINCE
2020, INCLUDING ONE WHO PLEADED

195
00:10:18,000 --> 00:10:20,353
ALICEVILLE IS NO EXCEPTION.
THREE OFFICERS HAVE BEEN
CONVICTED OF SEXUAL ABUSE SINCE
2020, INCLUDING ONE WHO PLEADED

196
00:10:20,419 --> 00:10:24,000
GUILTY EARLIER THIS YEAR.
>> THOSE ARE JUST THE CASES THAT
WE KNOW ABOUT.
HOW DOES THIS KEEP HAPPENING?

197
00:10:24,000 --> 00:10:25,124
GUILTY EARLIER THIS YEAR.
>> THOSE ARE JUST THE CASES THAT
WE KNOW ABOUT.
HOW DOES THIS KEEP HAPPENING?

198
00:10:25,191 --> 00:10:30,000
>> YOU CAN'T PREDICT HUMAN
BEHAVIOR.
BUT WHAT I CAN TELL YOU IS THE
THINGS THAT WE'RE PUTTING IN

199
00:10:30,000 --> 00:10:31,297
>> YOU CAN'T PREDICT HUMAN
BEHAVIOR.
BUT WHAT I CAN TELL YOU IS THE
THINGS THAT WE'RE PUTTING IN

200
00:10:31,364 --> 00:10:36,000
PLACE TO MANAGE TO THAT
MISCONDUCT, I THINK ARE THE
RIGHT THINGS AND SENDING A CLEAR
MESSAGE THAT THIS TYPE OF

201
00:10:36,000 --> 00:10:36,268
PLACE TO MANAGE TO THAT
MISCONDUCT, I THINK ARE THE
RIGHT THINGS AND SENDING A CLEAR
MESSAGE THAT THIS TYPE OF

202
00:10:36,335 --> 00:10:42,000
BEHAVIOR IS EGREGIOUS,
HORRENDOUS, AND UNEXCUSABLE.
>> Reporter: BUT FEMALE INMATES
AT A WOMEN'S PRISON IN NORTHERN

203
00:10:42,000 --> 00:10:43,442
BEHAVIOR IS EGREGIOUS,
HORRENDOUS, AND UNEXCUSABLE.
>> Reporter: BUT FEMALE INMATES
AT A WOMEN'S PRISON IN NORTHERN

204
00:10:43,509 --> 00:10:48,000
CALIFORNIA ACCUSE DIRECTOR
PETERS AND THE BUREAU OF PRISONS
OF FAILING TO PROTECT THEM.
ITS OFFICIAL NAME IS FEDERAL

205
00:10:48,000 --> 00:10:51,350
CALIFORNIA ACCUSE DIRECTOR
PETERS AND THE BUREAU OF PRISONS
OF FAILING TO PROTECT THEM.
ITS OFFICIAL NAME IS FEDERAL

206
00:10:51,417 --> 00:10:54,000
CORRECTIONAL INSTITUTION DUBLIN,
BUT IT'S KNOWN BY INMATES AND
STAFF AS "THE RAPE CLUB."
SEVEN DUBLIN OFFICERS, INCLUDING

207
00:10:54,000 --> 00:10:59,592
CORRECTIONAL INSTITUTION DUBLIN,
BUT IT'S KNOWN BY INMATES AND
STAFF AS "THE RAPE CLUB."
SEVEN DUBLIN OFFICERS, INCLUDING

208
00:10:59,658 --> 00:11:00,000
THE WARDEN AND THE CHAPLAIN,
HAVE BEEN CONVICTED OF SEXUALLY
ABUSING NEARLY TWO DOZEN INMATES
FROM 2018 TO 2021.

209
00:11:00,000 --> 00:11:06,000
THE WARDEN AND THE CHAPLAIN,
HAVE BEEN CONVICTED OF SEXUALLY
ABUSING NEARLY TWO DOZEN INMATES
FROM 2018 TO 2021.

210
00:11:06,000 --> 00:11:06,298
THE WARDEN AND THE CHAPLAIN,
HAVE BEEN CONVICTED OF SEXUALLY
ABUSING NEARLY TWO DOZEN INMATES
FROM 2018 TO 2021.

211
00:11:06,365 --> 00:11:12,000
AND THIS PAST AUGUST, EIGHT
INMATES FILED SUIT, CLAIMING
SEXUAL ABUSE CONTINUES TO THIS
DAY.

212
00:11:12,000 --> 00:11:13,372
AND THIS PAST AUGUST, EIGHT
INMATES FILED SUIT, CLAIMING
SEXUAL ABUSE CONTINUES TO THIS
DAY.

213
00:11:13,439 --> 00:11:18,000
>> THESE ARE MOTHERS.
THEY'RE DAUGHTERS.
THEY'RE SISTERS.
>> Reporter: TESS KORTH WORKED

214
00:11:18,000 --> 00:11:21,180
>> THESE ARE MOTHERS.
THEY'RE DAUGHTERS.
THEY'RE SISTERS.
>> Reporter: TESS KORTH WORKED

215
00:11:21,247 --> 00:11:24,000
AS A CORRECTIONAL OFFICER AT
DUBLIN FOR 22 YEARS.
SHE RESIGNED IN 2022 AFTER SHE
SAYS SHE WAS RETALIATED AGAINST

216
00:11:24,000 --> 00:11:30,000
AS A CORRECTIONAL OFFICER AT
DUBLIN FOR 22 YEARS.
SHE RESIGNED IN 2022 AFTER SHE
SAYS SHE WAS RETALIATED AGAINST

217
00:11:30,000 --> 00:11:30,389
AS A CORRECTIONAL OFFICER AT
DUBLIN FOR 22 YEARS.
SHE RESIGNED IN 2022 AFTER SHE
SAYS SHE WAS RETALIATED AGAINST

218
00:11:30,456 --> 00:11:36,000
FOR WHISTLEBLOWING.
>> THEY TRAIN US IN THE RED
FLAGS TO LOOK FOR.
AND THEN WHEN WE REPORT, EVERY

219
00:11:36,000 --> 00:11:37,363
FOR WHISTLEBLOWING.
>> THEY TRAIN US IN THE RED
FLAGS TO LOOK FOR.
AND THEN WHEN WE REPORT, EVERY

220
00:11:37,430 --> 00:11:42,000
RED FLAG, THIS GUY MEETS, YOU
NEED TO DEAL WITH THIS, THEY
DON'T DO ANYTHING.
>> WHAT WAS THE CHAPLAN DOING

221
00:11:42,000 --> 00:11:43,002
RED FLAG, THIS GUY MEETS, YOU
NEED TO DEAL WITH THIS, THEY
DON'T DO ANYTHING.
>> WHAT WAS THE CHAPLAN DOING

222
00:11:43,069 --> 00:11:48,000
THAT MADE YOU SUSPICIOUS?
>> ONE TIME I CAME IN ON A
WEEKEND.
HE DIDN'T KNOW I WAS THERE.

223
00:11:48,000 --> 00:11:48,774
THAT MADE YOU SUSPICIOUS?
>> ONE TIME I CAME IN ON A
WEEKEND.
HE DIDN'T KNOW I WAS THERE.

224
00:11:48,841 --> 00:11:52,711
HIS OFFICE WAS DARK.
HE HAD AN INMATE IN THERE WITH
HIM.
I DON'T KNOW WHAT THEY WERE

225
00:11:52,778 --> 00:11:54,000
DOING.
>> THAT'S A RED FLAG.
>> OH, DEFINITELY.
>> Reporter: FORMER OFFICER

226
00:11:54,000 --> 00:11:56,849
DOING.
>> THAT'S A RED FLAG.
>> OH, DEFINITELY.
>> Reporter: FORMER OFFICER

227
00:11:56,916 --> 00:12:00,000
KORTH SAYS SHE REPORTED THE
CHAPLAIN AND OTHER OFFICERS, WHO
SHE SUSPECTED OF SEXUALLY
ABUSING INMATES TO AN INTERNAL

228
00:12:00,000 --> 00:12:04,623
KORTH SAYS SHE REPORTED THE
CHAPLAIN AND OTHER OFFICERS, WHO
SHE SUSPECTED OF SEXUALLY
ABUSING INMATES TO AN INTERNAL

229
00:12:04,690 --> 00:12:06,000
AFFAIRS INVESTIGATOR BUT WAS
IGNORED FOR YEARS UNTIL FEDERAL
INVESTIGATORS STEPPED IN.
>> WHAT HAPPENED TO THE OFFICERS

230
00:12:06,000 --> 00:12:11,330
AFFAIRS INVESTIGATOR BUT WAS
IGNORED FOR YEARS UNTIL FEDERAL
INVESTIGATORS STEPPED IN.
>> WHAT HAPPENED TO THE OFFICERS

231
00:12:11,397 --> 00:12:12,000
THAT YOU ACCUSED.
>> MOST OF THEM HAVE BEEN OR IN
THE PROCESS OF BEING CONVICTED.
AND A LOT OF THEM ARE NAMED IN

232
00:12:12,000 --> 00:12:18,000
THAT YOU ACCUSED.
>> MOST OF THEM HAVE BEEN OR IN
THE PROCESS OF BEING CONVICTED.
AND A LOT OF THEM ARE NAMED IN

233
00:12:18,000 --> 00:12:20,306
THAT YOU ACCUSED.
>> MOST OF THEM HAVE BEEN OR IN
THE PROCESS OF BEING CONVICTED.
AND A LOT OF THEM ARE NAMED IN

234
00:12:20,372 --> 00:12:24,000
LAWSUITS RIGHT NOW.
>> HOW DOES THAT MAKE YOU FEEL?
>> GOOD.
>> Reporter: THE BUREAU OF

235
00:12:24,000 --> 00:12:24,677
LAWSUITS RIGHT NOW.
>> HOW DOES THAT MAKE YOU FEEL?
>> GOOD.
>> Reporter: THE BUREAU OF

236
00:12:24,743 --> 00:12:30,000
PRISONS HAS A BACKLOG OF NEARLY
8,000 OPEN MISCONDUCT
INVESTIGATIONS, HUNDREDS OF
WHICH CONTAIN ALLEGATIONS OF

237
00:12:30,000 --> 00:12:31,417
PRISONS HAS A BACKLOG OF NEARLY
8,000 OPEN MISCONDUCT
INVESTIGATIONS, HUNDREDS OF
WHICH CONTAIN ALLEGATIONS OF

238
00:12:31,484 --> 00:12:36,000
SEXUAL ABUSE.
DIRECTOR PETERS HIRED MORE STAFF
TO TACKLE THE BACKLOG, BUT SHE
SAYS IT WILL TAKE TWO YEARS TO

239
00:12:36,000 --> 00:12:38,457
SEXUAL ABUSE.
DIRECTOR PETERS HIRED MORE STAFF
TO TACKLE THE BACKLOG, BUT SHE
SAYS IT WILL TAKE TWO YEARS TO

240
00:12:38,524 --> 00:12:42,000
CLEAR THOSE CASES.
IN RESPONSE TO THE DUBLIN
LAWSUIT, BUREAU OF PRISONS
LAWYERS SAY INMATES' CLAIMS HAVE

241
00:12:42,000 --> 00:12:45,998
CLEAR THOSE CASES.
IN RESPONSE TO THE DUBLIN
LAWSUIT, BUREAU OF PRISONS
LAWYERS SAY INMATES' CLAIMS HAVE

242
00:12:46,065 --> 00:12:48,000
BEEN INVESTIGATED AND THAT NO
THREAT REMAINS.
>> WE'VE DONE A TREMENDOUS JOB
IN THE LAST YEAR REBUILDING THAT

243
00:12:48,000 --> 00:12:53,005
BEEN INVESTIGATED AND THAT NO
THREAT REMAINS.
>> WE'VE DONE A TREMENDOUS JOB
IN THE LAST YEAR REBUILDING THAT

244
00:12:53,072 --> 00:12:54,000
CULTURE AND CREATING A
INSTITUTION THAT IS MORE SAFE
WHERE INDIVIDUALS FEEL
COMFORTABLE COMING FORWARD AND

245
00:12:54,000 --> 00:13:00,000
CULTURE AND CREATING A
INSTITUTION THAT IS MORE SAFE
WHERE INDIVIDUALS FEEL
COMFORTABLE COMING FORWARD AND

246
00:13:00,000 --> 00:13:02,314
CULTURE AND CREATING A
INSTITUTION THAT IS MORE SAFE
WHERE INDIVIDUALS FEEL
COMFORTABLE COMING FORWARD AND

247
00:13:02,381 --> 00:13:06,000
REPORTING CLAIMS.
>> YOU JUST USED THE PHRASE
"TREMENDOUS JOB" IN DUBLIN.
EIGHT INMATES HAVE FILED A CLASS

248
00:13:06,000 --> 00:13:10,990
REPORTING CLAIMS.
>> YOU JUST USED THE PHRASE
"TREMENDOUS JOB" IN DUBLIN.
EIGHT INMATES HAVE FILED A CLASS

249
00:13:11,056 --> 00:13:12,000
ACTION LAWSUIT, AND THEY'VE GOT
TESTIMONY FROM MORE THAN 40
CURRENT AND FORMER DUBLIN
INMATES WHO SAY THE ABUSE IS

250
00:13:12,000 --> 00:13:17,897
ACTION LAWSUIT, AND THEY'VE GOT
TESTIMONY FROM MORE THAN 40
CURRENT AND FORMER DUBLIN
INMATES WHO SAY THE ABUSE IS

251
00:13:17,963 --> 00:13:18,000
ONGOING.
>> THAT MEANS THE PROCESS IS
WORKING.
THEY HAVE THE ABILITY TO COME

252
00:13:18,000 --> 00:13:21,167
ONGOING.
>> THAT MEANS THE PROCESS IS
WORKING.
THEY HAVE THE ABILITY TO COME

253
00:13:21,233 --> 00:13:24,000
FORWARD.
THEY HAVE THE RIGHT TO BRING
THAT CLASS ACTION LAWSUIT
TOGETHER.

254
00:13:24,000 --> 00:13:24,236
FORWARD.
THEY HAVE THE RIGHT TO BRING
THAT CLASS ACTION LAWSUIT
TOGETHER.

255
00:13:24,303 --> 00:13:30,000
>> THESE DUBLIN INMATES ARE
SAYING THEY'RE FACING
RETALIATION FOR SPEAKING OUT.
>> I HAVE BEEN CLEAR THAT

256
00:13:30,000 --> 00:13:31,210
>> THESE DUBLIN INMATES ARE
SAYING THEY'RE FACING
RETALIATION FOR SPEAKING OUT.
>> I HAVE BEEN CLEAR THAT

257
00:13:31,277 --> 00:13:36,000
RETALIATION WILL NOT BE STOOD ON
MY WATCH.
WHEN ALLEGATIONS OF RETALIATION
COME FORWARD, THEY ARE

258
00:13:36,000 --> 00:13:36,682
RETALIATION WILL NOT BE STOOD ON
MY WATCH.
WHEN ALLEGATIONS OF RETALIATION
COME FORWARD, THEY ARE

259
00:13:36,749 --> 00:13:42,000
INVESTIGATED, AND WE WILL HOLD
THOSE PEOPLE ACCOUNTABLE.
>> IT'S ONE THING TO SAY THAT
RETALIATION IS NOT TOLERATED,

260
00:13:42,000 --> 00:13:42,121
INVESTIGATED, AND WE WILL HOLD
THOSE PEOPLE ACCOUNTABLE.
>> IT'S ONE THING TO SAY THAT
RETALIATION IS NOT TOLERATED,

261
00:13:42,188 --> 00:13:47,326
BUT IT SOUNDS LIKE IT'S ACTUALLY
STILL HAPPENING.
>> AGAIN, I WOULD SAY THOSE ARE
ALLEGATIONS.

262
00:13:47,393 --> 00:13:48,000
I WOULD LIKE TO BE MORE GROUNDED
IN FACT, AROUND PROVEN
RETALIATION.
>> Reporter: THE FACT IS THAT AN

263
00:13:48,000 --> 00:13:53,365
I WOULD LIKE TO BE MORE GROUNDED
IN FACT, AROUND PROVEN
RETALIATION.
>> Reporter: THE FACT IS THAT AN

264
00:13:53,432 --> 00:13:54,000
ADDITIONAL 19 STAFF MEMBERS HAVE
BEEN ACCUSED OF ABUSING INMATES.
THE BUREAU SAYS THOSE STAFF
MEMBERS WERE PUT ON LEAVE, NEW

265
00:13:54,000 --> 00:14:00,000
ADDITIONAL 19 STAFF MEMBERS HAVE
BEEN ACCUSED OF ABUSING INMATES.
THE BUREAU SAYS THOSE STAFF
MEMBERS WERE PUT ON LEAVE, NEW

266
00:14:00,000 --> 00:14:01,574
ADDITIONAL 19 STAFF MEMBERS HAVE
BEEN ACCUSED OF ABUSING INMATES.
THE BUREAU SAYS THOSE STAFF
MEMBERS WERE PUT ON LEAVE, NEW

267
00:14:01,640 --> 00:14:06,000
MANAGEMENT WAS BROUGHT IN, AND
WORKING SECURITY CAMERAS WERE
INSTALLED IN AREAS WHERE INMATES
WERE ABUSED.

268
00:14:06,000 --> 00:14:07,146
MANAGEMENT WAS BROUGHT IN, AND
WORKING SECURITY CAMERAS WERE
INSTALLED IN AREAS WHERE INMATES
WERE ABUSED.

269
00:14:07,213 --> 00:14:12,000
>> WHAT ARE THESE VICTIMS OWED?
>> TO HAVE INDIVIDUALS WHO ARE
IN OUR CARE, WHO RELY ON US FOR
THEIR SAFETY AND SECURITY AND TO

270
00:14:12,000 --> 00:14:18,000
>> WHAT ARE THESE VICTIMS OWED?
>> TO HAVE INDIVIDUALS WHO ARE
IN OUR CARE, WHO RELY ON US FOR
THEIR SAFETY AND SECURITY AND TO

271
00:14:18,000 --> 00:14:19,825
>> WHAT ARE THESE VICTIMS OWED?
>> TO HAVE INDIVIDUALS WHO ARE
IN OUR CARE, WHO RELY ON US FOR
THEIR SAFETY AND SECURITY AND TO

272
00:14:19,892 --> 00:14:24,000
HAVE THAT BE VIOLATED, I DON'T
KNOW THAT YOU CAN BRING ANYTHING
THAT WOULD UNDO THAT WRONG.
>> WHAT ABOUT AN APOLOGY?

273
00:14:24,000 --> 00:14:27,633
HAVE THAT BE VIOLATED, I DON'T
KNOW THAT YOU CAN BRING ANYTHING
THAT WOULD UNDO THAT WRONG.
>> WHAT ABOUT AN APOLOGY?

274
00:14:27,700 --> 00:14:30,000
THE VICTIMS IN DUBLIN SAY
THEY'VE NEVER RECEIVED AN
APOLOGY.
>> WELL, I WILL TELL YOU THAT IT

275
00:14:30,000 --> 00:14:34,707
THE VICTIMS IN DUBLIN SAY
THEY'VE NEVER RECEIVED AN
APOLOGY.
>> WELL, I WILL TELL YOU THAT IT

276
00:14:34,773 --> 00:14:36,000
IS OUR MISSION TO KEEP THEM
SAFE.
THAT IS OUR JOB.
>> IS YOUR JOB TO APOLOGIZE FOR

277
00:14:36,000 --> 00:14:40,446
IS OUR MISSION TO KEEP THEM
SAFE.
THAT IS OUR JOB.
>> IS YOUR JOB TO APOLOGIZE FOR

278
00:14:40,512 --> 00:14:42,000
WHAT HAPPENED IN DUBLIN?
>> I DON'T KNOW THAT MY JOB IS
TO APOLOGIZE.
IS IT HEARTBREAKING AND

279
00:14:42,000 --> 00:14:45,317
WHAT HAPPENED IN DUBLIN?
>> I DON'T KNOW THAT MY JOB IS
TO APOLOGIZE.
IS IT HEARTBREAKING AND

280
00:14:45,384 --> 00:14:48,000
HORRENDOUS TO HAVE SOMETHING
LIKE THAT HAPPEN WHEN YOU ARE
PROUD OF YOUR PROFESSION AS A
CORRECTIONS PROFESSIONAL?

281
00:14:48,000 --> 00:14:54,000
HORRENDOUS TO HAVE SOMETHING
LIKE THAT HAPPEN WHEN YOU ARE
PROUD OF YOUR PROFESSION AS A
CORRECTIONS PROFESSIONAL?

282
00:14:54,000 --> 00:14:55,427
HORRENDOUS TO HAVE SOMETHING
LIKE THAT HAPPEN WHEN YOU ARE
PROUD OF YOUR PROFESSION AS A
CORRECTIONS PROFESSIONAL?

283
00:14:55,494 --> 00:15:00,000
>> ABSOLUTELY.
>> AFTER OUR REPORT FIRST AIRED,
THE FBI RAIDED DUBLIN AND IN
APRIL IT WAS SHUT DOWN.

284
00:15:00,000 --> 00:15:03,669
>> ABSOLUTELY.
>> AFTER OUR REPORT FIRST AIRED,
THE FBI RAIDED DUBLIN AND IN
APRIL IT WAS SHUT DOWN.

285
00:15:03,736 --> 00:15:06,000
THERE ARE MORE THAN 65 INMATES
WHO ARE FILING LAWSUITS
>>> WHETHER YOU THINK ARTIFICIAL
INTELLIGENCE WILL SAVE THE WORLD

286
00:15:06,000 --> 00:15:12,000
THERE ARE MORE THAN 65 INMATES
WHO ARE FILING LAWSUITS
>>> WHETHER YOU THINK ARTIFICIAL
INTELLIGENCE WILL SAVE THE WORLD

287
00:15:12,000 --> 00:15:18,000
THERE ARE MORE THAN 65 INMATES
WHO ARE FILING LAWSUITS
>>> WHETHER YOU THINK ARTIFICIAL
INTELLIGENCE WILL SAVE THE WORLD

288
00:15:18,000 --> 00:15:23,188
THERE ARE MORE THAN 65 INMATES
WHO ARE FILING LAWSUITS
>>> WHETHER YOU THINK ARTIFICIAL
INTELLIGENCE WILL SAVE THE WORLD

289
00:15:23,255 --> 00:15:24,000
OR END IT, YOU HAVE GEOFFREY
HINTON TO THANK.
HINTON HAS BEEN CALLED THE
GODFATHER OF A.I., A BRITISH

290
00:15:24,000 --> 00:15:30,000
OR END IT, YOU HAVE GEOFFREY
HINTON TO THANK.
HINTON HAS BEEN CALLED THE
GODFATHER OF A.I., A BRITISH

291
00:15:30,000 --> 00:15:33,032
OR END IT, YOU HAVE GEOFFREY
HINTON TO THANK.
HINTON HAS BEEN CALLED THE
GODFATHER OF A.I., A BRITISH

292
00:15:33,098 --> 00:15:36,000
COMPUTER SCIENTIST WHOSE
CONTROVERSIAL IDEAS HELPED MAKE
ADVANCED ARTIFICIAL INTELLIGENCE
POSSIBLE, AND SO CHANGED THE

293
00:15:36,000 --> 00:15:40,205
COMPUTER SCIENTIST WHOSE
CONTROVERSIAL IDEAS HELPED MAKE
ADVANCED ARTIFICIAL INTELLIGENCE
POSSIBLE, AND SO CHANGED THE

294
00:15:40,272 --> 00:15:42,000
WORLD.
AS WE FIRST REPORTED LAST YEAR,
HINTON BELIEVES THAT A.I. WILL
DO ENORMOUS GOOD.

295
00:15:42,000 --> 00:15:45,844
WORLD.
AS WE FIRST REPORTED LAST YEAR,
HINTON BELIEVES THAT A.I. WILL
DO ENORMOUS GOOD.

296
00:15:45,911 --> 00:15:48,000
BUT TONIGHT HE HAS A WARNING.
HE SAYS THAT A.I. SYSTEMS MAY BE
MORE INTELLIGENT THAN WE KNOW,
AND THERE'S A CHANCE THE

297
00:15:48,000 --> 00:15:54,000
BUT TONIGHT HE HAS A WARNING.
HE SAYS THAT A.I. SYSTEMS MAY BE
MORE INTELLIGENT THAN WE KNOW,
AND THERE'S A CHANCE THE

298
00:15:54,000 --> 00:15:54,219
BUT TONIGHT HE HAS A WARNING.
HE SAYS THAT A.I. SYSTEMS MAY BE
MORE INTELLIGENT THAN WE KNOW,
AND THERE'S A CHANCE THE

299
00:15:54,286 --> 00:16:00,000
MACHINES COULD TAKE OVER, WHICH
MADE US ASK THE QUESTION.
>> DOES HUMANITY KNOW WHAT IT'S
DOING?

300
00:16:00,000 --> 00:16:05,030
MACHINES COULD TAKE OVER, WHICH
MADE US ASK THE QUESTION.
>> DOES HUMANITY KNOW WHAT IT'S
DOING?

301
00:16:05,097 --> 00:16:06,000
>> NO.
I THINK WE'RE MOVING INTO A
PERIOD WHEN, FOR THE FIRST TIME
EVER, WE MAY HAVE THINGS MORE

302
00:16:06,000 --> 00:16:12,000
>> NO.
I THINK WE'RE MOVING INTO A
PERIOD WHEN, FOR THE FIRST TIME
EVER, WE MAY HAVE THINGS MORE

303
00:16:12,000 --> 00:16:14,473
>> NO.
I THINK WE'RE MOVING INTO A
PERIOD WHEN, FOR THE FIRST TIME
EVER, WE MAY HAVE THINGS MORE

304
00:16:14,540 --> 00:16:18,000
INTELLIGENT THAN US.
>> YOU BELIEVE THEY CAN
UNDERSTAND?
>> YES.

305
00:16:18,000 --> 00:16:18,310
INTELLIGENT THAN US.
>> YOU BELIEVE THEY CAN
UNDERSTAND?
>> YES.

306
00:16:18,377 --> 00:16:23,549
>> YOU BELIEVE THEY ARE
INTELLIGENT?
>> YES.
>> YOU BELIEVE THESE SYSTEMS

307
00:16:23,615 --> 00:16:24,000
HAVE EXPERIENCES OF THEIR OWN
AND CAN MAKE DECISIONS BASED ON
THOSE EXPERIENCES?
>> IN THE SAME SENSE AS PEOPLE

308
00:16:24,000 --> 00:16:30,000
HAVE EXPERIENCES OF THEIR OWN
AND CAN MAKE DECISIONS BASED ON
THOSE EXPERIENCES?
>> IN THE SAME SENSE AS PEOPLE

309
00:16:30,000 --> 00:16:30,656
HAVE EXPERIENCES OF THEIR OWN
AND CAN MAKE DECISIONS BASED ON
THOSE EXPERIENCES?
>> IN THE SAME SENSE AS PEOPLE

310
00:16:30,723 --> 00:16:36,000
DO, YES.
>> ARE THEY CONSCIOUS?
>> I THINK THEY PROBABLY DON'T
HAVE MUCH SELF-AWARENESS AT

311
00:16:36,000 --> 00:16:36,128
DO, YES.
>> ARE THEY CONSCIOUS?
>> I THINK THEY PROBABLY DON'T
HAVE MUCH SELF-AWARENESS AT

312
00:16:36,195 --> 00:16:41,867
PRESENT.
SO, IN THAT SENSE, I DON'T THINK
THEY'RE CONSCIOUS.
>> WILL THEY HAVE

313
00:16:41,934 --> 00:16:42,000
SELF-AWARENESS?
CONSCIOUSNESS?
>> OH, YES.
I THINK THEY WILL IN TIME.

314
00:16:42,000 --> 00:16:44,536
SELF-AWARENESS?
CONSCIOUSNESS?
>> OH, YES.
I THINK THEY WILL IN TIME.

315
00:16:44,603 --> 00:16:48,000
>> AND SO HUMAN BEINGS WILL BE
THE SECOND MOST INTELLIGENT
BEINGS ON THE PLANET?
>> YEAH.

316
00:16:48,000 --> 00:16:52,044
>> AND SO HUMAN BEINGS WILL BE
THE SECOND MOST INTELLIGENT
BEINGS ON THE PLANET?
>> YEAH.

317
00:16:52,111 --> 00:16:54,000
>> Reporter: GEOFFREY HINTON
TOLD US THE ARTIFICIAL
INTELLIGENCE HE SET IN MOTION
WAS AN ACCIDENT BORN OF A

318
00:16:54,000 --> 00:17:00,000
>> Reporter: GEOFFREY HINTON
TOLD US THE ARTIFICIAL
INTELLIGENCE HE SET IN MOTION
WAS AN ACCIDENT BORN OF A

319
00:17:00,000 --> 00:17:00,753
>> Reporter: GEOFFREY HINTON
TOLD US THE ARTIFICIAL
INTELLIGENCE HE SET IN MOTION
WAS AN ACCIDENT BORN OF A

320
00:17:00,819 --> 00:17:06,000
FAILURE.
IN THE 1970s AT THE UNIVERSITY
OF EDINBURGH, HE DREAMED OF
SIMULATING A NEURAL NETWORK ON A

321
00:17:06,000 --> 00:17:09,628
FAILURE.
IN THE 1970s AT THE UNIVERSITY
OF EDINBURGH, HE DREAMED OF
SIMULATING A NEURAL NETWORK ON A

322
00:17:09,695 --> 00:17:12,000
COMPUTER, SIMPLY AS A TOOL FOR
WHAT HE WAS REALLY STUDYING, THE
HUMAN BRAIN.
BUT BACK THEN, ALMOST NO ONE

323
00:17:12,000 --> 00:17:16,702
COMPUTER, SIMPLY AS A TOOL FOR
WHAT HE WAS REALLY STUDYING, THE
HUMAN BRAIN.
BUT BACK THEN, ALMOST NO ONE

324
00:17:16,769 --> 00:17:18,000
THOUGHT SOFTWARE COULD MIMIC THE
BRAIN.
HIS PHD ADVISER TOLD HIM TO DROP
IT BEFORE IT RUINED HIS CAREER.

325
00:17:18,000 --> 00:17:24,000
THOUGHT SOFTWARE COULD MIMIC THE
BRAIN.
HIS PHD ADVISER TOLD HIM TO DROP
IT BEFORE IT RUINED HIS CAREER.

326
00:17:24,000 --> 00:17:24,143
THOUGHT SOFTWARE COULD MIMIC THE
BRAIN.
HIS PHD ADVISER TOLD HIM TO DROP
IT BEFORE IT RUINED HIS CAREER.

327
00:17:24,209 --> 00:17:30,000
HINTON SAYS HE FAILED TO FIGURE
OUT THE HUMAN MIND, BUT THE LONG
PURSUIT LED TO AN ARTIFICIAL
VERSION.

328
00:17:30,000 --> 00:17:31,850
HINTON SAYS HE FAILED TO FIGURE
OUT THE HUMAN MIND, BUT THE LONG
PURSUIT LED TO AN ARTIFICIAL
VERSION.

329
00:17:31,917 --> 00:17:36,000
>> IT TOOK MUCH, MUCH LONGER
THAN I EXPECTED.
IT TOOK, LIKE, 50 YEARS BEFORE
BUT IN THE END, IT DID WORK

330
00:17:36,000 --> 00:17:39,124
>> IT TOOK MUCH, MUCH LONGER
THAN I EXPECTED.
IT TOOK, LIKE, 50 YEARS BEFORE
BUT IN THE END, IT DID WORK

331
00:17:39,191 --> 00:17:42,000
WELL.
>> AT WHAT POINT DID YOU REALIZE
THAT YOU WERE RIGHT ABOUT NEURAL
NETWORKS AND MOST EVERYONE ELSE

332
00:17:42,000 --> 00:17:47,332
WELL.
>> AT WHAT POINT DID YOU REALIZE
THAT YOU WERE RIGHT ABOUT NEURAL
NETWORKS AND MOST EVERYONE ELSE

333
00:17:47,399 --> 00:17:48,000
WAS WRONG?
>> I ALWAYS THOUGHT I WAS RIGHT.
>> Reporter: IN 2019, HINTON AND
COLLABORATORS YANN LECUN, ON THE

334
00:17:48,000 --> 00:17:54,000
WAS WRONG?
>> I ALWAYS THOUGHT I WAS RIGHT.
>> Reporter: IN 2019, HINTON AND
COLLABORATORS YANN LECUN, ON THE

335
00:17:54,000 --> 00:17:59,178
WAS WRONG?
>> I ALWAYS THOUGHT I WAS RIGHT.
>> Reporter: IN 2019, HINTON AND
COLLABORATORS YANN LECUN, ON THE

336
00:17:59,244 --> 00:18:00,000
LEFT, AND YOSHUA BENGIO ON THE
TOURING AWARD, THE NOBLE PRIZE
OF COMPUTING.
TO UNDERSTAND HOW THEIR WORK ON

337
00:18:00,000 --> 00:18:06,000
LEFT, AND YOSHUA BENGIO ON THE
TOURING AWARD, THE NOBLE PRIZE
OF COMPUTING.
TO UNDERSTAND HOW THEIR WORK ON

338
00:18:06,000 --> 00:18:09,254
LEFT, AND YOSHUA BENGIO ON THE
TOURING AWARD, THE NOBLE PRIZE
OF COMPUTING.
TO UNDERSTAND HOW THEIR WORK ON

339
00:18:09,321 --> 00:18:12,000
ARTIFICIAL NEURAL NETWORKS
HELPED MACHINES LEARN TO LEARN,
LET US TAKE YOU TO A GAME.
>> LOOK AT THAT.

340
00:18:12,000 --> 00:18:15,627
ARTIFICIAL NEURAL NETWORKS
HELPED MACHINES LEARN TO LEARN,
LET US TAKE YOU TO A GAME.
>> LOOK AT THAT.

341
00:18:15,694 --> 00:18:18,000
OH, MY GOODNESS.
>> Reporter: THIS IS GOOGLE'S
A.I. LAB IN LONDON, WHICH WE
FIRST SHOWED YOU LAST YEAR.

342
00:18:18,000 --> 00:18:24,000
OH, MY GOODNESS.
>> Reporter: THIS IS GOOGLE'S
A.I. LAB IN LONDON, WHICH WE
FIRST SHOWED YOU LAST YEAR.

343
00:18:24,000 --> 00:18:24,403
OH, MY GOODNESS.
>> Reporter: THIS IS GOOGLE'S
A.I. LAB IN LONDON, WHICH WE
FIRST SHOWED YOU LAST YEAR.

344
00:18:24,470 --> 00:18:30,000
GEOFFREY HINTON WAS NOT INVOLVED
IN THIS SOCCER PROJECT, BUT
THESE ROBOTS ARE A GREAT EXAMPLE
OF MACHINE LEARNING.

345
00:18:30,000 --> 00:18:32,010
GEOFFREY HINTON WAS NOT INVOLVED
IN THIS SOCCER PROJECT, BUT
THESE ROBOTS ARE A GREAT EXAMPLE
OF MACHINE LEARNING.

346
00:18:32,077 --> 00:18:36,000
THE THING TO UNDERSTAND IS THE
ROBOTS WERE NOT PROGRAMMED TO
PLAY SOCCER.
THEY WERE TOLD TO SCORE.

347
00:18:36,000 --> 00:18:39,685
THE THING TO UNDERSTAND IS THE
ROBOTS WERE NOT PROGRAMMED TO
PLAY SOCCER.
THEY WERE TOLD TO SCORE.

348
00:18:39,751 --> 00:18:42,000
THEY HAD TO LEARN HOW ON THEIR
OWN.
>> GOAL.
>> Reporter: IN GENERAL, HERE'S

349
00:18:42,000 --> 00:18:47,059
THEY HAD TO LEARN HOW ON THEIR
OWN.
>> GOAL.
>> Reporter: IN GENERAL, HERE'S

350
00:18:47,125 --> 00:18:48,000
HOW A.I. DOES IT.
HINTON AND HIS COLLABORATORS
CREATED SOFTWARE IN LAYERS, WITH
EACH LAYER HANDLING PART OF THE

351
00:18:48,000 --> 00:18:54,000
HOW A.I. DOES IT.
HINTON AND HIS COLLABORATORS
CREATED SOFTWARE IN LAYERS, WITH
EACH LAYER HANDLING PART OF THE

352
00:18:54,000 --> 00:18:56,134
HOW A.I. DOES IT.
HINTON AND HIS COLLABORATORS
CREATED SOFTWARE IN LAYERS, WITH
EACH LAYER HANDLING PART OF THE

353
00:18:56,201 --> 00:18:59,104
PROBLEM.
THAT'S THE SO-CALLED NEURAL
NETWORK.
BUT THIS IS THE KEY.

354
00:18:59,171 --> 00:19:00,000
WHEN, FOR EXAMPLE, THE ROBOT
SCORES, A MESSAGE IS SENT BACK
DOWN THROUGH ALL OF THE LAYERS
THAT SAYS, THAT PATHWAY WAS

355
00:19:00,000 --> 00:19:06,000
WHEN, FOR EXAMPLE, THE ROBOT
SCORES, A MESSAGE IS SENT BACK
DOWN THROUGH ALL OF THE LAYERS
THAT SAYS, THAT PATHWAY WAS

356
00:19:06,000 --> 00:19:10,282
WHEN, FOR EXAMPLE, THE ROBOT
SCORES, A MESSAGE IS SENT BACK
DOWN THROUGH ALL OF THE LAYERS
THAT SAYS, THAT PATHWAY WAS

357
00:19:10,349 --> 00:19:12,000
RIGHT.
LIKEWISE, WHEN AN ANSWER IS
WRONG, THAT MESSAGE GOES DOWN
THROUGH THE NETWORK.

358
00:19:12,000 --> 00:19:15,354
RIGHT.
LIKEWISE, WHEN AN ANSWER IS
WRONG, THAT MESSAGE GOES DOWN
THROUGH THE NETWORK.

359
00:19:15,420 --> 00:19:18,000
SO, CORRECT CONNECTIONS GET
STRONGER.
WRONG CONNECTIONS GET WEAKER.
AND BY TRIAL AND ERROR, THE

360
00:19:18,000 --> 00:19:23,362
SO, CORRECT CONNECTIONS GET
STRONGER.
WRONG CONNECTIONS GET WEAKER.
AND BY TRIAL AND ERROR, THE

361
00:19:23,428 --> 00:19:24,000
MACHINE TEACHES ITSELF.
>> YOU THINK THESE A.I. SYSTEMS
ARE BETTER AT LEARNING THAN THE
HUMAN MIND.

362
00:19:24,000 --> 00:19:29,167
MACHINE TEACHES ITSELF.
>> YOU THINK THESE A.I. SYSTEMS
ARE BETTER AT LEARNING THAN THE
HUMAN MIND.

363
00:19:29,234 --> 00:19:30,000
>> I THINK THEY MAY BE, YES.
AND AT PRESENT, THEY'RE QUITE A
LOT SMALLER.
SO, EVEN THE BIGGEST CHATBOTS

364
00:19:30,000 --> 00:19:36,000
>> I THINK THEY MAY BE, YES.
AND AT PRESENT, THEY'RE QUITE A
LOT SMALLER.
SO, EVEN THE BIGGEST CHATBOTS

365
00:19:36,000 --> 00:19:40,345
>> I THINK THEY MAY BE, YES.
AND AT PRESENT, THEY'RE QUITE A
LOT SMALLER.
SO, EVEN THE BIGGEST CHATBOTS

366
00:19:40,412 --> 00:19:42,000
ONLY HAVE ABOUT A TRILLION
CONNECTIONS IN THEM.
THE HUMAN BRAIN HAS ABOUT 100
TRILLION.

367
00:19:42,000 --> 00:19:46,084
ONLY HAVE ABOUT A TRILLION
CONNECTIONS IN THEM.
THE HUMAN BRAIN HAS ABOUT 100
TRILLION.

368
00:19:46,151 --> 00:19:48,000
AND YET IN THE TRILLION
CONNECTIONS IN THE CHATBOT, IT
KNOWS FAR MORE THAN YOU DO IN
YOUR 100 TRILLION CONNECTIONS,

369
00:19:48,000 --> 00:19:53,592
AND YET IN THE TRILLION
CONNECTIONS IN THE CHATBOT, IT
KNOWS FAR MORE THAN YOU DO IN
YOUR 100 TRILLION CONNECTIONS,

370
00:19:53,659 --> 00:19:54,000
WHICH SUGGESTS IT'S GOT A MUCH
BETTER WAY OF GETTING KNOWLEDGE
INTO THOSE CONNECTIONS.
>> Reporter: A MUCH BETTER WAY

371
00:19:54,000 --> 00:19:58,630
WHICH SUGGESTS IT'S GOT A MUCH
BETTER WAY OF GETTING KNOWLEDGE
INTO THOSE CONNECTIONS.
>> Reporter: A MUCH BETTER WAY

372
00:19:58,697 --> 00:20:00,000
OF GETTING KNOWLEDGE THAT ISN'T
FULLY UNDERSTOOD.
>> WE HAVE A VERY GOOD IDEA,
SORT OF, ROUGHLY WHAT IT'S

373
00:20:00,000 --> 00:20:03,735
OF GETTING KNOWLEDGE THAT ISN'T
FULLY UNDERSTOOD.
>> WE HAVE A VERY GOOD IDEA,
SORT OF, ROUGHLY WHAT IT'S

374
00:20:03,802 --> 00:20:06,000
DOING.
BUT AS SOON AS IT GETS REALLY
COMPLICATED, WE DON'T ACTUALLY
KNOW WHAT'S GOING ON ANY MORE

375
00:20:06,000 --> 00:20:09,708
DOING.
BUT AS SOON AS IT GETS REALLY
COMPLICATED, WE DON'T ACTUALLY
KNOW WHAT'S GOING ON ANY MORE

376
00:20:09,775 --> 00:20:12,000
THAN WE FAUX KNOW WHAT'S GOING
YOUR BRAIN.
>> WHAT DO YOU MEAN WE DON'T
KNOW EXACTLY HOW IT WORKS?

377
00:20:12,000 --> 00:20:15,948
THAN WE FAUX KNOW WHAT'S GOING
YOUR BRAIN.
>> WHAT DO YOU MEAN WE DON'T
KNOW EXACTLY HOW IT WORKS?

378
00:20:16,014 --> 00:20:18,000
IT WAS DESIGNED BY PEOPLE.
>> NO, IT WASN'T.
WHAT WE DID WAS WE DESIGNED A
LEARNING ALGORITHM.

379
00:20:18,000 --> 00:20:21,653
IT WAS DESIGNED BY PEOPLE.
>> NO, IT WASN'T.
WHAT WE DID WAS WE DESIGNED A
LEARNING ALGORITHM.

380
00:20:21,720 --> 00:20:24,000
THAT'S A BIT LIKE DESIGNED THE
PRINCIPLE OF EVOLUTION.
WHEN THIS LEARNING ALGORITHM
INTERACTS WITH DATA, IT PRODUCES

381
00:20:24,000 --> 00:20:30,000
THAT'S A BIT LIKE DESIGNED THE
PRINCIPLE OF EVOLUTION.
WHEN THIS LEARNING ALGORITHM
INTERACTS WITH DATA, IT PRODUCES

382
00:20:30,000 --> 00:20:30,028
THAT'S A BIT LIKE DESIGNED THE
PRINCIPLE OF EVOLUTION.
WHEN THIS LEARNING ALGORITHM
INTERACTS WITH DATA, IT PRODUCES

383
00:20:30,095 --> 00:20:36,000
COMPLICATED NEURAL NETWORKS THAT
ARE GOOD AT DOING THINGS.
BUT WE DON'T REALLY UNDERSTAND
EXACTLY HOW THEY DO THOSE

384
00:20:36,000 --> 00:20:36,234
COMPLICATED NEURAL NETWORKS THAT
ARE GOOD AT DOING THINGS.
BUT WE DON'T REALLY UNDERSTAND
EXACTLY HOW THEY DO THOSE

385
00:20:36,301 --> 00:20:42,000
THINGS.
>> WHAT ARE THE IMPLICATIONS OF
THESE SYSTEMS AUTONOMOUSLY
WRITING THEIR OWN COMPUTER CODE

386
00:20:42,000 --> 00:20:42,708
THINGS.
>> WHAT ARE THE IMPLICATIONS OF
THESE SYSTEMS AUTONOMOUSLY
WRITING THEIR OWN COMPUTER CODE

387
00:20:42,774 --> 00:20:48,000
AND EXECUTING THEIR OWN COMPUTER
CODE?
>> THAT'S A SERIOUS WORRY,
RIGHT?

388
00:20:48,000 --> 00:20:48,480
AND EXECUTING THEIR OWN COMPUTER
CODE?
>> THAT'S A SERIOUS WORRY,
RIGHT?

389
00:20:48,547 --> 00:20:54,000
SO, ONE OF THE WAYS IN WHICH
THESE SYSTEMS MIGHT ESCAPE
CONTROL IS BY WRITING THEIR OWN
COMPUTER CODE TO POD MODIFY

390
00:20:54,000 --> 00:20:57,022
SO, ONE OF THE WAYS IN WHICH
THESE SYSTEMS MIGHT ESCAPE
CONTROL IS BY WRITING THEIR OWN
COMPUTER CODE TO POD MODIFY

391
00:20:57,089 --> 00:21:00,000
THEMSELVES.
AND THAT'S SOMETHING WE NEED TO
SERIOUSLY WORRY ABOUT.
>> WHAT DO YOU SAY TO SOMEONE

392
00:21:00,000 --> 00:21:01,827
THEMSELVES.
AND THAT'S SOMETHING WE NEED TO
SERIOUSLY WORRY ABOUT.
>> WHAT DO YOU SAY TO SOMEONE

393
00:21:01,893 --> 00:21:06,000
WHO MIGHT ARGUE IF THE SYSTEMS
BECOME MALEVOLENT, JUST TURN
THEM OFF?
>> THEY WILL BE ABLE TO

394
00:21:06,000 --> 00:21:09,568
WHO MIGHT ARGUE IF THE SYSTEMS
BECOME MALEVOLENT, JUST TURN
THEM OFF?
>> THEY WILL BE ABLE TO

395
00:21:09,635 --> 00:21:12,000
MANIPULATE PEOPLE, RIGHT?
AND THESE WILL BE VERY GOOD AT
CONVINCING PEOPLE BECAUSE
THEY'LL HAVE LEARNED FROM ALL

396
00:21:12,000 --> 00:21:14,706
MANIPULATE PEOPLE, RIGHT?
AND THESE WILL BE VERY GOOD AT
CONVINCING PEOPLE BECAUSE
THEY'LL HAVE LEARNED FROM ALL

397
00:21:14,773 --> 00:21:18,000
THE NOVELS THAT WERE EVER
WRITTEN, ALL THE BOOKS BY MAC I
CAN'T MACHIAVELLI, THEY'LL KNOW
ALL THAT STUFF AND THEY'LL KNOW

398
00:21:18,000 --> 00:21:24,000
THE NOVELS THAT WERE EVER
WRITTEN, ALL THE BOOKS BY MAC I
CAN'T MACHIAVELLI, THEY'LL KNOW
ALL THAT STUFF AND THEY'LL KNOW

399
00:21:24,000 --> 00:21:26,618
THE NOVELS THAT WERE EVER
WRITTEN, ALL THE BOOKS BY MAC I
CAN'T MACHIAVELLI, THEY'LL KNOW
ALL THAT STUFF AND THEY'LL KNOW

400
00:21:26,685 --> 00:21:30,000
HOW TO DO IT.
>> Reporter: KNOW-HOW OF THE
HUMAN KIND RUNS IN GEOFFREY
HINTON'S FAMILY.

401
00:21:30,000 --> 00:21:31,356
HOW TO DO IT.
>> Reporter: KNOW-HOW OF THE
HUMAN KIND RUNS IN GEOFFREY
HINTON'S FAMILY.

402
00:21:31,423 --> 00:21:36,000
HIS ANCESTORS INCLUDE
MATHEMATICIAN GEORGE BOOLE, WHO
INVENTED THE BASIS OF COMPUTING,
AND GEORGE EVEREST, WHO SURVEYED

403
00:21:36,000 --> 00:21:40,966
HIS ANCESTORS INCLUDE
MATHEMATICIAN GEORGE BOOLE, WHO
INVENTED THE BASIS OF COMPUTING,
AND GEORGE EVEREST, WHO SURVEYED

404
00:21:41,033 --> 00:21:42,000
INDIA AND GOT THAT MOUNTAIN
NAMED AFTER HIM.
BUT AS A BOY, HINTON HIMSELF
COULD NEVER CLIMB THE PEAK OF

405
00:21:42,000 --> 00:21:48,000
INDIA AND GOT THAT MOUNTAIN
NAMED AFTER HIM.
BUT AS A BOY, HINTON HIMSELF
COULD NEVER CLIMB THE PEAK OF

406
00:21:48,000 --> 00:21:48,974
INDIA AND GOT THAT MOUNTAIN
NAMED AFTER HIM.
BUT AS A BOY, HINTON HIMSELF
COULD NEVER CLIMB THE PEAK OF

407
00:21:49,041 --> 00:21:54,000
EXPECTATIONS RAISED BY A
DOMINEERING FATHER.
>> EVERY MORNING WHEN I WENT TO
SCHOOL, HE'D ACTUALLY SAY TO ME,

408
00:21:54,000 --> 00:21:56,515
EXPECTATIONS RAISED BY A
DOMINEERING FATHER.
>> EVERY MORNING WHEN I WENT TO
SCHOOL, HE'D ACTUALLY SAY TO ME,

409
00:21:56,581 --> 00:22:00,000
AS I WALKED IN THE DRIVEWAY, GET
IN THERE, AND MAYBE WHEN YOU'RE
TWICE AS OLD AS ME, YOU'LL BE
HALF AS GOOD.

410
00:22:00,000 --> 00:22:03,689
AS I WALKED IN THE DRIVEWAY, GET
IN THERE, AND MAYBE WHEN YOU'RE
TWICE AS OLD AS ME, YOU'LL BE
HALF AS GOOD.

411
00:22:03,755 --> 00:22:06,000
>> Reporter: DAD WAS AN
AUTHORITY ON BEETLES.
>> HE KNEW A LOT MORE ABOUT
BEETLES THAN HE KNEW ABOUT

412
00:22:06,000 --> 00:22:08,827
>> Reporter: DAD WAS AN
AUTHORITY ON BEETLES.
>> HE KNEW A LOT MORE ABOUT
BEETLES THAN HE KNEW ABOUT

413
00:22:08,894 --> 00:22:12,000
PEOPLE.
>> Reporter: DID YOU FEEL THAT
AS A CHILD?
>> A BIT, YES.

414
00:22:12,000 --> 00:22:13,065
PEOPLE.
>> Reporter: DID YOU FEEL THAT
AS A CHILD?
>> A BIT, YES.

415
00:22:13,131 --> 00:22:18,000
WHEN HE DIED, WE WENT TO HIS
STUDY AT THE UNIVERSITY, AND THE
WALLS WERE LINED WITH BOXES OF
PAPERS ON DIFFERENT KINDS OF

416
00:22:18,000 --> 00:22:20,806
WHEN HE DIED, WE WENT TO HIS
STUDY AT THE UNIVERSITY, AND THE
WALLS WERE LINED WITH BOXES OF
PAPERS ON DIFFERENT KINDS OF

417
00:22:20,872 --> 00:22:24,000
BEETLE.
AND JUST NEAR THE DOOR, THERE
WAS A SLIGHTLY SMALLER BOX THAT
SIMPLY SAID, NOT INSECTS.

418
00:22:24,000 --> 00:22:26,812
BEETLE.
AND JUST NEAR THE DOOR, THERE
WAS A SLIGHTLY SMALLER BOX THAT
SIMPLY SAID, NOT INSECTS.

419
00:22:26,878 --> 00:22:30,000
AND THAT'S WHERE HE HAD ALL THE
THINGS ABOUT THE FAMILY.
>> Reporter: TODAY, AT 76,
HINTON IS RETIRED AFTER WHAT HE

420
00:22:30,000 --> 00:22:34,720
AND THAT'S WHERE HE HAD ALL THE
THINGS ABOUT THE FAMILY.
>> Reporter: TODAY, AT 76,
HINTON IS RETIRED AFTER WHAT HE

421
00:22:34,786 --> 00:22:36,000
CALLS TEN HAPPY YEARS AT GOOGLE.
NOW, HE'S PROFESSOR EMERITUS AT
THE UNIVERSITY OF TORONTO, AND
HE HAPPENED TO MENTION HE HAS

422
00:22:36,000 --> 00:22:42,000
CALLS TEN HAPPY YEARS AT GOOGLE.
NOW, HE'S PROFESSOR EMERITUS AT
THE UNIVERSITY OF TORONTO, AND
HE HAPPENED TO MENTION HE HAS

423
00:22:42,000 --> 00:22:44,563
CALLS TEN HAPPY YEARS AT GOOGLE.
NOW, HE'S PROFESSOR EMERITUS AT
THE UNIVERSITY OF TORONTO, AND
HE HAPPENED TO MENTION HE HAS

424
00:22:44,629 --> 00:22:48,000
MORE ACADEMIC CITATIONS THAN HIS
FATHER.
SOME OF HIS RESEARCH LED TO
CHATBOTS LIKE GOOGLE'S BARD,

425
00:22:48,000 --> 00:22:54,000
MORE ACADEMIC CITATIONS THAN HIS
FATHER.
SOME OF HIS RESEARCH LED TO
CHATBOTS LIKE GOOGLE'S BARD,

426
00:22:54,000 --> 00:22:55,474
MORE ACADEMIC CITATIONS THAN HIS
FATHER.
SOME OF HIS RESEARCH LED TO
CHATBOTS LIKE GOOGLE'S BARD,

427
00:22:55,540 --> 00:23:00,000
WHICH WE MET LAST YEAR.
>> CONFOUNDING, ABSOLUTELY
CONFOUNDING.
>> WE ASKED BARD TO ASK A STORY

428
00:23:00,000 --> 00:23:01,012
WHICH WE MET LAST YEAR.
>> CONFOUNDING, ABSOLUTELY
CONFOUNDING.
>> WE ASKED BARD TO ASK A STORY

429
00:23:01,079 --> 00:23:06,000
FROM SIX WORDS.
FOR SALE, BABY SHOES, NEVER
WORN.
HOLY COW.

430
00:23:06,000 --> 00:23:08,120
FROM SIX WORDS.
FOR SALE, BABY SHOES, NEVER
WORN.
HOLY COW.

431
00:23:08,186 --> 00:23:12,000
THE SHOES WERE A GIFT FROM MY
WIFE, BUT WE NEVER HAD A BABY.
BARD CREATED A DEEPLY HUMAN TALE
OF A MAN WHOSE WIFE COULD NOT

432
00:23:12,000 --> 00:23:18,000
THE SHOES WERE A GIFT FROM MY
WIFE, BUT WE NEVER HAD A BABY.
BARD CREATED A DEEPLY HUMAN TALE
OF A MAN WHOSE WIFE COULD NOT

433
00:23:18,000 --> 00:23:18,530
THE SHOES WERE A GIFT FROM MY
WIFE, BUT WE NEVER HAD A BABY.
BARD CREATED A DEEPLY HUMAN TALE
OF A MAN WHOSE WIFE COULD NOT

434
00:23:18,597 --> 00:23:24,000
CONCEIVE AND A STRANGER WHO
ACCEPTED THE SHOES TO HEAL THE
PAIN AFTER HER MISCARRIAGE.
>> I AM RARELY SPEECHLESS.

435
00:23:24,000 --> 00:23:26,972
CONCEIVE AND A STRANGER WHO
ACCEPTED THE SHOES TO HEAL THE
PAIN AFTER HER MISCARRIAGE.
>> I AM RARELY SPEECHLESS.

436
00:23:27,038 --> 00:23:30,000
I DON'T KNOW WHAT TO MAKE OF
THIS.
>> Reporter: CHATBOTS ARE SAID
TO BE LANGUAGE MODELS THAT JUST

437
00:23:30,000 --> 00:23:33,145
I DON'T KNOW WHAT TO MAKE OF
THIS.
>> Reporter: CHATBOTS ARE SAID
TO BE LANGUAGE MODELS THAT JUST

438
00:23:33,211 --> 00:23:36,000
PREDICT THE NEXT MOST LIKELY
WORD BASED ON PROBABILITY.
>> YOU'LL HEAR PEOPLE SAYING
THINGS LIKE, THEY'RE JUST DOING

439
00:23:36,000 --> 00:23:40,685
PREDICT THE NEXT MOST LIKELY
WORD BASED ON PROBABILITY.
>> YOU'LL HEAR PEOPLE SAYING
THINGS LIKE, THEY'RE JUST DOING

440
00:23:40,752 --> 00:23:42,000
AUTOCOMPLETE.
THEY'RE JUST TRYING TO PREDICT
THE NEXT WORD, AND THEY'RE JUST
USING STATISTICS.

441
00:23:42,000 --> 00:23:45,757
AUTOCOMPLETE.
THEY'RE JUST TRYING TO PREDICT
THE NEXT WORD, AND THEY'RE JUST
USING STATISTICS.

442
00:23:45,824 --> 00:23:48,000
WELL, IT'S TRUE THEY'RE JUST
TRYING TO PREDICT THE NEXT WORD.
BUT IF YOU THINK ABOUT IT, TO
PREDICT THE NEXT WORD, YOU HAVE

443
00:23:48,000 --> 00:23:54,000
WELL, IT'S TRUE THEY'RE JUST
TRYING TO PREDICT THE NEXT WORD.
BUT IF YOU THINK ABOUT IT, TO
PREDICT THE NEXT WORD, YOU HAVE

444
00:23:54,000 --> 00:23:54,332
WELL, IT'S TRUE THEY'RE JUST
TRYING TO PREDICT THE NEXT WORD.
BUT IF YOU THINK ABOUT IT, TO
PREDICT THE NEXT WORD, YOU HAVE

445
00:23:54,399 --> 00:24:00,000
TO UNDERSTAND THE SENTENCES.
SO, THE IDEA THEY'RE JUST
PREDICTING THE NEXT WORD, SO
THEY'RE NOT INTELLIGENT IS

446
00:24:00,000 --> 00:24:01,673
TO UNDERSTAND THE SENTENCES.
SO, THE IDEA THEY'RE JUST
PREDICTING THE NEXT WORD, SO
THEY'RE NOT INTELLIGENT IS

447
00:24:01,740 --> 00:24:05,544
CRAZY.
YOU HAVE TO BE REALLY
INTELLIGENT TO PREDICT THE NEXT
WORD REALLY ACCURATELY.

448
00:24:05,610 --> 00:24:06,000
>> Reporter: TO PROVE IT, HINTON
SHOWED US A TEST HE DEVICED FOR
CHATGPT4, THE CHATBOT FROM A
COMPANY CALLED OPEN A.I.

449
00:24:06,000 --> 00:24:12,000
>> Reporter: TO PROVE IT, HINTON
SHOWED US A TEST HE DEVICED FOR
CHATGPT4, THE CHATBOT FROM A
COMPANY CALLED OPEN A.I.

450
00:24:12,000 --> 00:24:16,955
>> Reporter: TO PROVE IT, HINTON
SHOWED US A TEST HE DEVICED FOR
CHATGPT4, THE CHATBOT FROM A
COMPANY CALLED OPEN A.I.

451
00:24:17,022 --> 00:24:18,000
IT WAS, SORT OF, REASSURING TO
SEE A TOURING AWARD WINNER
MISTYPE AND BLAME THE COMPUTER.
>> OH, DARN THIS THING.

452
00:24:18,000 --> 00:24:24,000
IT WAS, SORT OF, REASSURING TO
SEE A TOURING AWARD WINNER
MISTYPE AND BLAME THE COMPUTER.
>> OH, DARN THIS THING.

453
00:24:24,000 --> 00:24:26,198
IT WAS, SORT OF, REASSURING TO
SEE A TOURING AWARD WINNER
MISTYPE AND BLAME THE COMPUTER.
>> OH, DARN THIS THING.

454
00:24:26,264 --> 00:24:30,000
WE'RE GOING TO GO BACK AND START
AGAIN.
>> Reporter: HINTON'S TEST WAS A
RIDDLE ABOUT HOUSE PAINTING.

455
00:24:30,000 --> 00:24:33,605
WE'RE GOING TO GO BACK AND START
AGAIN.
>> Reporter: HINTON'S TEST WAS A
RIDDLE ABOUT HOUSE PAINTING.

456
00:24:33,672 --> 00:24:36,000
AN ANSWER WOULD DEMAND REASONING
AND PLANNING.
THIS IS WHAT HE TYPED INTO CHAT
GPT4.

457
00:24:36,000 --> 00:24:39,477
AN ANSWER WOULD DEMAND REASONING
AND PLANNING.
THIS IS WHAT HE TYPED INTO CHAT
GPT4.

458
00:24:39,544 --> 00:24:42,000
>> THE ROOMS IN MY HOUSE ARE
PAINTED WHITE OR BLUE OR YELLOW.
IN TWO YEAR'S TIME, I'D LIKE ALL
THE ROOMS TO BE WHITE.

459
00:24:42,000 --> 00:24:47,552
>> THE ROOMS IN MY HOUSE ARE
PAINTED WHITE OR BLUE OR YELLOW.
IN TWO YEAR'S TIME, I'D LIKE ALL
THE ROOMS TO BE WHITE.

460
00:24:47,619 --> 00:24:48,000
WHAT SHOULD I DO?
>> Reporter: THE ANSWER BEGAN IN
ONE SECOND.
GPT4 ADVISED THE ROOMS PAINTED

461
00:24:48,000 --> 00:24:54,000
WHAT SHOULD I DO?
>> Reporter: THE ANSWER BEGAN IN
ONE SECOND.
GPT4 ADVISED THE ROOMS PAINTED

462
00:24:54,000 --> 00:24:54,993
WHAT SHOULD I DO?
>> Reporter: THE ANSWER BEGAN IN
ONE SECOND.
GPT4 ADVISED THE ROOMS PAINTED

463
00:24:55,060 --> 00:25:00,000
IN BLUE NEED TO BE REPAINTED.
THE ROOMS PAINTED IN YELLOW
DON'T NEED TO BE REPAINTED
BECAUSE THEY WOULD FADE TO WHITE

464
00:25:00,000 --> 00:25:02,634
IN BLUE NEED TO BE REPAINTED.
THE ROOMS PAINTED IN YELLOW
DON'T NEED TO BE REPAINTED
BECAUSE THEY WOULD FADE TO WHITE

465
00:25:02,701 --> 00:25:06,000
BEFORE THE DEADLINE.
AND --
>> OH.
I DIDN'T EVEN THINK OF THAT.

466
00:25:06,000 --> 00:25:11,443
BEFORE THE DEADLINE.
AND --
>> OH.
I DIDN'T EVEN THINK OF THAT.

467
00:25:11,509 --> 00:25:12,000
>> Reporter: -- IT WARNED, IF
YOU PAINT THE YELLOW ROOMS
WHITE, THERE'S A RISK THE COLOR
MIGHT BE OFF WHEN THE YELLOW

468
00:25:12,000 --> 00:25:17,382
>> Reporter: -- IT WARNED, IF
YOU PAINT THE YELLOW ROOMS
WHITE, THERE'S A RISK THE COLOR
MIGHT BE OFF WHEN THE YELLOW

469
00:25:17,449 --> 00:25:18,000
FADES.
BESIDES, IT ADVISED, YOU'D BE
WASTING RESOURCES, PAINTING
ROOMS THAT WERE GOING TO FADE TO

470
00:25:18,000 --> 00:25:24,000
FADES.
BESIDES, IT ADVISED, YOU'D BE
WASTING RESOURCES, PAINTING
ROOMS THAT WERE GOING TO FADE TO

471
00:25:24,000 --> 00:25:25,223
FADES.
BESIDES, IT ADVISED, YOU'D BE
WASTING RESOURCES, PAINTING
ROOMS THAT WERE GOING TO FADE TO

472
00:25:25,290 --> 00:25:30,000
WHITE ANY WWAY.
>> YOU BELIEVE THAT CHAT GPT4
UNDERSTANDS?
>> I BELIEVE IT DEFINITELY

473
00:25:30,000 --> 00:25:31,930
WHITE ANY WWAY.
>> YOU BELIEVE THAT CHAT GPT4
UNDERSTANDS?
>> I BELIEVE IT DEFINITELY

474
00:25:31,997 --> 00:25:36,000
UNDERSTANDS, YES.
>> AND IN FIVE YEAR'S TIME.
>> I THINK IN FIVE YEAR'S TIME,
IT MAY WELL BE ABLE TO REASON

475
00:25:36,000 --> 00:25:37,302
UNDERSTANDS, YES.
>> AND IN FIVE YEAR'S TIME.
>> I THINK IN FIVE YEAR'S TIME,
IT MAY WELL BE ABLE TO REASON

476
00:25:37,369 --> 00:25:42,000
BETTER THAN US.
>> REASONING THAT HE SAYS IS
LEADING TO A.I.'S GREAT RISKS
AND GREAT BENEFITS.

477
00:25:42,000 --> 00:25:44,576
BETTER THAN US.
>> REASONING THAT HE SAYS IS
LEADING TO A.I.'S GREAT RISKS
AND GREAT BENEFITS.

478
00:25:44,643 --> 00:25:48,000
>> SO, AN OBVIOUS AREA WHERE
THERE'S HUGE BENEFITS IS HEALTH
CARE.
A.I. IS ALREADY COMPARABLE WITH

479
00:25:48,000 --> 00:25:53,151
>> SO, AN OBVIOUS AREA WHERE
THERE'S HUGE BENEFITS IS HEALTH
CARE.
A.I. IS ALREADY COMPARABLE WITH

480
00:25:53,218 --> 00:25:54,000
RADIOLOGISTS AT UNDERSTANDING
WHAT'S GOING ON IN MEDICAL
IMAGES.
IT'S GOING TO BE VERY GOOD AT

481
00:25:54,000 --> 00:25:57,689
RADIOLOGISTS AT UNDERSTANDING
WHAT'S GOING ON IN MEDICAL
IMAGES.
IT'S GOING TO BE VERY GOOD AT

482
00:25:57,756 --> 00:26:00,000
DESIGNING DRUGS.
IT ALREADY IS DESIGNING DRUGS.
SO, THAT'S AN AREA WHERE IT'S
ALMOST ENTIRELY GOING TO DO

483
00:26:00,000 --> 00:26:05,797
DESIGNING DRUGS.
IT ALREADY IS DESIGNING DRUGS.
SO, THAT'S AN AREA WHERE IT'S
ALMOST ENTIRELY GOING TO DO

484
00:26:05,864 --> 00:26:06,000
GOOD.
I LIKE THAT AREA.
>> THE RISKS ARE WHAT?
>> WELL, THE RISKS ARE HAVING A

485
00:26:06,000 --> 00:26:12,000
GOOD.
I LIKE THAT AREA.
>> THE RISKS ARE WHAT?
>> WELL, THE RISKS ARE HAVING A

486
00:26:12,000 --> 00:26:12,070
GOOD.
I LIKE THAT AREA.
>> THE RISKS ARE WHAT?
>> WELL, THE RISKS ARE HAVING A

487
00:26:12,137 --> 00:26:18,000
WHOLE CLASS OF PEOPLE WHO ARE
UNEMPLOYED AND NOT VALUED MUCH
BECAUSE WHAT THEY USED TO DO IS
NOW DONE BY MACHINES.

488
00:26:18,000 --> 00:26:21,179
WHOLE CLASS OF PEOPLE WHO ARE
UNEMPLOYED AND NOT VALUED MUCH
BECAUSE WHAT THEY USED TO DO IS
NOW DONE BY MACHINES.

489
00:26:21,246 --> 00:26:24,000
>> Reporter: OTHER IMMEDIATE
RISKS HE WORRIES ABOUT INCLUDE
FAKE NEWS, UNINTENDED BIAS IN
EMPLOYMENT AND POLICING, AND

490
00:26:24,000 --> 00:26:30,000
>> Reporter: OTHER IMMEDIATE
RISKS HE WORRIES ABOUT INCLUDE
FAKE NEWS, UNINTENDED BIAS IN
EMPLOYMENT AND POLICING, AND

491
00:26:30,000 --> 00:26:31,423
>> Reporter: OTHER IMMEDIATE
RISKS HE WORRIES ABOUT INCLUDE
FAKE NEWS, UNINTENDED BIAS IN
EMPLOYMENT AND POLICING, AND

492
00:26:31,489 --> 00:26:36,000
AUTONOMOUS BATTLEFIELD ROBOTS.
>> WHAT IS A PATH FORWARD THAT
ENSURES SAFETY?
>> I DON'T KNOW.

493
00:26:36,000 --> 00:26:40,999
AUTONOMOUS BATTLEFIELD ROBOTS.
>> WHAT IS A PATH FORWARD THAT
ENSURES SAFETY?
>> I DON'T KNOW.

494
00:26:41,066 --> 00:26:42,000
I CAN'T SEE A PATH THAT
GUARANTEES SAFETY.
WE'RE ENTERING A PERIOD OF GREAT
UNCERTAINTY WHERE WE'RE DEALING

495
00:26:42,000 --> 00:26:48,000
I CAN'T SEE A PATH THAT
GUARANTEES SAFETY.
WE'RE ENTERING A PERIOD OF GREAT
UNCERTAINTY WHERE WE'RE DEALING

496
00:26:48,000 --> 00:26:49,240
I CAN'T SEE A PATH THAT
GUARANTEES SAFETY.
WE'RE ENTERING A PERIOD OF GREAT
UNCERTAINTY WHERE WE'RE DEALING

497
00:26:49,307 --> 00:26:54,000
WITH THINGS WE'VE NEVER DEALT
WITH BEFORE.
AND NORMALLY THE FIRST TIME YOU
DEAL WITH SOMETHING TOTALLY

498
00:26:54,000 --> 00:26:55,413
WITH THINGS WE'VE NEVER DEALT
WITH BEFORE.
AND NORMALLY THE FIRST TIME YOU
DEAL WITH SOMETHING TOTALLY

499
00:26:55,480 --> 00:27:00,000
NOVEL, YOU GET IT WRONG.
AND WE CAN'T AFFORD TO GET IT
WRONG WITH THESE THINGS.
>> CAN'T AFFORD TO GET IT WRONG,

500
00:27:00,000 --> 00:27:02,220
NOVEL, YOU GET IT WRONG.
AND WE CAN'T AFFORD TO GET IT
WRONG WITH THESE THINGS.
>> CAN'T AFFORD TO GET IT WRONG,

501
00:27:02,287 --> 00:27:05,457
WHY?
>> WELL, BECAUSE THEY MIGHT TAKE
OVER.
>> TAKE OVER FROM HUMANITY.

502
00:27:05,523 --> 00:27:06,000
>> YES, THAT'S A POSSIBILITY.
I'M NOT SAYING IT WILL HAPPEN.
IF WE CAN STOP THEM FROM EVER
WANTING TO, THAT WOULD BE GREAT.

503
00:27:06,000 --> 00:27:12,000
>> YES, THAT'S A POSSIBILITY.
I'M NOT SAYING IT WILL HAPPEN.
IF WE CAN STOP THEM FROM EVER
WANTING TO, THAT WOULD BE GREAT.

504
00:27:12,000 --> 00:27:13,231
>> YES, THAT'S A POSSIBILITY.
I'M NOT SAYING IT WILL HAPPEN.
IF WE CAN STOP THEM FROM EVER
WANTING TO, THAT WOULD BE GREAT.

505
00:27:13,298 --> 00:27:18,000
BUT IT'S NOT CLEAR WE CAN STOP
THEM FROM WANTING TO.
>> GEOFFREY HINTON TOLD US HE
HAS NO REGRETS BECAUSE OF A.I.'S

506
00:27:18,000 --> 00:27:20,305
BUT IT'S NOT CLEAR WE CAN STOP
THEM FROM WANTING TO.
>> GEOFFREY HINTON TOLD US HE
HAS NO REGRETS BECAUSE OF A.I.'S

507
00:27:20,372 --> 00:27:24,000
POTENTIAL FOR GOOD.
BUT HE SAYS NOW IS THE MOMENT TO
RUN EXPERIMENTS TO UNDERSTAND
A.I., FOR GOVERNMENTS TO IMPOSE

508
00:27:24,000 --> 00:27:29,814
POTENTIAL FOR GOOD.
BUT HE SAYS NOW IS THE MOMENT TO
RUN EXPERIMENTS TO UNDERSTAND
A.I., FOR GOVERNMENTS TO IMPOSE

509
00:27:29,881 --> 00:27:30,000
REGULATIONS, AND FOR A WORLD
TREATY TO BAN THE USE OF
MILITARY ROBOTS.
HE REMINDED US OF ROBERT

510
00:27:30,000 --> 00:27:36,000
REGULATIONS, AND FOR A WORLD
TREATY TO BAN THE USE OF
MILITARY ROBOTS.
HE REMINDED US OF ROBERT

511
00:27:36,000 --> 00:27:38,656
REGULATIONS, AND FOR A WORLD
TREATY TO BAN THE USE OF
MILITARY ROBOTS.
HE REMINDED US OF ROBERT

512
00:27:38,723 --> 00:27:42,000
OPPENHEIMER, WHO, AFTER
INVENTING THE ATOMIC BOMB,
CAMPAIGNED AGAINST THE HYDROGEN
BOMB.

513
00:27:42,000 --> 00:27:44,763
OPPENHEIMER, WHO, AFTER
INVENTING THE ATOMIC BOMB,
CAMPAIGNED AGAINST THE HYDROGEN
BOMB.

514
00:27:44,829 --> 00:27:48,000
A MAN WHO CHANGED THE WORLD AND
FOUND THE WORLD BEYOND HIS
CONTROL.
>> IT MAY BE WE LOOK BACK AND

515
00:27:48,000 --> 00:27:52,570
A MAN WHO CHANGED THE WORLD AND
FOUND THE WORLD BEYOND HIS
CONTROL.
>> IT MAY BE WE LOOK BACK AND

516
00:27:52,637 --> 00:27:54,000
SEE THIS IS A KIND OF TURNING
POINT, WHEN HUMANITY HAVE TO
MAKE THE DECISION ABOUT WHETHER
TO DEVELOP THESE THINGS FURTHER

517
00:27:54,000 --> 00:27:58,276
SEE THIS IS A KIND OF TURNING
POINT, WHEN HUMANITY HAVE TO
MAKE THE DECISION ABOUT WHETHER
TO DEVELOP THESE THINGS FURTHER

518
00:27:58,343 --> 00:28:00,000
AND WHAT TO DO TO PROTECT
THEMSELVES IF THEY DID.
I DON'T KNOW.
I THINK MY MAIN MESSAGE IS,

519
00:28:00,000 --> 00:28:06,000
AND WHAT TO DO TO PROTECT
THEMSELVES IF THEY DID.
I DON'T KNOW.
I THINK MY MAIN MESSAGE IS,

520
00:28:06,000 --> 00:28:07,419
AND WHAT TO DO TO PROTECT
THEMSELVES IF THEY DID.
I DON'T KNOW.
I THINK MY MAIN MESSAGE IS,

521
00:28:07,485 --> 00:28:12,000
THERE'S ENORMOUS UNCERTAINTY
ABOUT WHAT'S GOING TO HAPPEN
NEXT.
THESE THINGS DO UNDERSTAND.

522
00:28:12,000 --> 00:28:13,425
THERE'S ENORMOUS UNCERTAINTY
ABOUT WHAT'S GOING TO HAPPEN
NEXT.
THESE THINGS DO UNDERSTAND.

523
00:28:13,491 --> 00:28:18,000
AND BECAUSE THEY UNDERSTAND, WE
NEED TO THINK HARD ABOUT WHAT'S
GONG TO HAPPEN NEXT.
AND WE JUST DON'T KNOW.

524
00:28:18,000 --> 00:28:24,000
AND BECAUSE THEY UNDERSTAND, WE
NEED TO THINK HARD ABOUT WHAT'S
GONG TO HAPPEN NEXT.
AND WE JUST DON'T KNOW.

525
00:28:24,000 --> 00:28:30,000
AND BECAUSE THEY UNDERSTAND, WE
NEED TO THINK HARD ABOUT WHAT'S
GONG TO HAPPEN NEXT.
AND WE JUST DON'T KNOW.

526
00:28:30,000 --> 00:28:30,341
AND BECAUSE THEY UNDERSTAND, WE
NEED TO THINK HARD ABOUT WHAT'S
GONG TO HAPPEN NEXT.
AND WE JUST DON'T KNOW.

527
00:28:30,408 --> 00:28:36,000
>>> STEVEN VAN ZANDT EMBODIES
BOTH THE FRUSTRATION AND THE
BEAUTY OF THE ARTS.
THERE ARE NO ORG CHARTS, NO

528
00:28:36,000 --> 00:28:37,982
>>> STEVEN VAN ZANDT EMBODIES
BOTH THE FRUSTRATION AND THE
BEAUTY OF THE ARTS.
THERE ARE NO ORG CHARTS, NO

529
00:28:38,049 --> 00:28:42,000
OFFICIAL TITLES, NO ONE WAY TO
DO THE JOB.
HE'S DISCOVERED THAT IT'S EASIER
TO BE THIS CREATIVE FURNACE,

530
00:28:42,000 --> 00:28:44,856
OFFICIAL TITLES, NO ONE WAY TO
DO THE JOB.
HE'S DISCOVERED THAT IT'S EASIER
TO BE THIS CREATIVE FURNACE,

531
00:28:44,923 --> 00:28:48,000
THIS VOLCANO OF ARTISTIC OUTPUT
WEN YOU ARE NOT THE FOCUS.
SO, AS WE TOLD YOU IN NOVEMBER,
THE LONGTIME GUITARIST AND

532
00:28:48,000 --> 00:28:52,964
THIS VOLCANO OF ARTISTIC OUTPUT
WEN YOU ARE NOT THE FOCUS.
SO, AS WE TOLD YOU IN NOVEMBER,
THE LONGTIME GUITARIST AND

533
00:28:53,031 --> 00:28:54,000
MUSICAL DIRECTOR FOR BRUCE
SPRINGSTEEN AND THE E STREET
BAND WAS ALSO AN UNDERBOSS OF A
DIFFERENT KIND, ACTING IN ONE OF

534
00:28:54,000 --> 00:28:59,571
MUSICAL DIRECTOR FOR BRUCE
SPRINGSTEEN AND THE E STREET
BAND WAS ALSO AN UNDERBOSS OF A
DIFFERENT KIND, ACTING IN ONE OF

535
00:28:59,637 --> 00:29:00,000
TV'S MOST INFLUENTIAL SHOWS,
"THE SOPRANOS," THAT IS WHILE HE
WAS NOT WRITING SCRIPTS AND
MUSIC TRYING TO PRESERVE ROCK

536
00:29:00,000 --> 00:29:06,000
TV'S MOST INFLUENTIAL SHOWS,
"THE SOPRANOS," THAT IS WHILE HE
WAS NOT WRITING SCRIPTS AND
MUSIC TRYING TO PRESERVE ROCK

537
00:29:06,000 --> 00:29:10,715
TV'S MOST INFLUENTIAL SHOWS,
"THE SOPRANOS," THAT IS WHILE HE
WAS NOT WRITING SCRIPTS AND
MUSIC TRYING TO PRESERVE ROCK

538
00:29:10,782 --> 00:29:12,000
AND ROLL.
>> Reporter: LATE ON A SUNDAY
AFTERNOON LAST SUMMER, STEVIE
VAN ZANDT WAS MIDWAY THROUGH A

539
00:29:12,000 --> 00:29:17,922
AND ROLL.
>> Reporter: LATE ON A SUNDAY
AFTERNOON LAST SUMMER, STEVIE
VAN ZANDT WAS MIDWAY THROUGH A

540
00:29:17,989 --> 00:29:18,000
BURST OF FURIOUS CREATIVITY,
TENDING TO HIS LATEST
SCREENPLAY, HE HAD AN IDEA HE
HAD TO COMMIT TO THE PAGE.

541
00:29:18,000 --> 00:29:24,000
BURST OF FURIOUS CREATIVITY,
TENDING TO HIS LATEST
SCREENPLAY, HE HAD AN IDEA HE
HAD TO COMMIT TO THE PAGE.

542
00:29:24,000 --> 00:29:24,062
BURST OF FURIOUS CREATIVITY,
TENDING TO HIS LATEST
SCREENPLAY, HE HAD AN IDEA HE
HAD TO COMMIT TO THE PAGE.

543
00:29:24,129 --> 00:29:30,000
>> A COUPLE OF SINGERS WHO, YOU
KNOW, DAY JOB IS LEG BREAKERS.
>> Reporter: WHERE WAS THIS
QUAINT WRITER'S RETREAT?

544
00:29:30,000 --> 00:29:34,706
>> A COUPLE OF SINGERS WHO, YOU
KNOW, DAY JOB IS LEG BREAKERS.
>> Reporter: WHERE WAS THIS
QUAINT WRITER'S RETREAT?

545
00:29:34,772 --> 00:29:36,000
IN HIS BACKSTAGE DRESSING ROOM
AT A CONCERT IN ROME MERE
MINUTES BEFORE VAN ZANDT PUT HIS
PEN AND PAD AWAY AND WENT ON

546
00:29:36,000 --> 00:29:42,000
IN HIS BACKSTAGE DRESSING ROOM
AT A CONCERT IN ROME MERE
MINUTES BEFORE VAN ZANDT PUT HIS
PEN AND PAD AWAY AND WENT ON

547
00:29:42,000 --> 00:29:48,000
IN HIS BACKSTAGE DRESSING ROOM
AT A CONCERT IN ROME MERE
MINUTES BEFORE VAN ZANDT PUT HIS
PEN AND PAD AWAY AND WENT ON

548
00:29:48,000 --> 00:29:49,254
IN HIS BACKSTAGE DRESSING ROOM
AT A CONCERT IN ROME MERE
MINUTES BEFORE VAN ZANDT PUT HIS
PEN AND PAD AWAY AND WENT ON

549
00:29:49,320 --> 00:29:54,000
STAGE.
>> COME ON, STEVIE.
♪
>> HE SAID, WE HAD TO COME SEE

550
00:29:54,000 --> 00:29:59,731
STAGE.
>> COME ON, STEVIE.
♪
>> HE SAID, WE HAD TO COME SEE

551
00:29:59,797 --> 00:30:00,000
YOU GUYS PERFORM IN ROME.
OF ALL THE CITIES, ALL THE GIN
JOINTS, WHY ROME?
>> THE FANS HERE ARE JUST SO

552
00:30:00,000 --> 00:30:06,000
YOU GUYS PERFORM IN ROME.
OF ALL THE CITIES, ALL THE GIN
JOINTS, WHY ROME?
>> THE FANS HERE ARE JUST SO

553
00:30:06,000 --> 00:30:07,639
YOU GUYS PERFORM IN ROME.
OF ALL THE CITIES, ALL THE GIN
JOINTS, WHY ROME?
>> THE FANS HERE ARE JUST SO

554
00:30:07,705 --> 00:30:12,000
MUCH FUN.
YOU SEE EVERYBODY SINGING EVERY
SINGLE WORD OF EVERY SINGLE
SONG, WHEN THEY DON'T

555
00:30:12,000 --> 00:30:12,977
MUCH FUN.
YOU SEE EVERYBODY SINGING EVERY
SINGLE WORD OF EVERY SINGLE
SONG, WHEN THEY DON'T

556
00:30:13,044 --> 00:30:18,000
PARTICULARLY SPEAK ENGLISH,
RIGHT?
>> THAT'S A VALIDATION.
>> WELL, IT'S A VALIDATION.

557
00:30:18,000 --> 00:30:18,082
PARTICULARLY SPEAK ENGLISH,
RIGHT?
>> THAT'S A VALIDATION.
>> WELL, IT'S A VALIDATION.

558
00:30:18,149 --> 00:30:24,000
IT'S A SHOW OF -- THE POWER OF
WHAT WE DO.
>> LET'S GO.
>> Reporter: SWADDLED IN HIS

559
00:30:24,000 --> 00:30:25,623
IT'S A SHOW OF -- THE POWER OF
WHAT WE DO.
>> LET'S GO.
>> Reporter: SWADDLED IN HIS

560
00:30:25,690 --> 00:30:30,000
TRADEMARK BANDANA AND WRAPPED IN
COMPLEXITY, LITTLE STEVEN, NOW
73, REMAINS A TRUE AMERICAN
ORIGINAL, THE ULTIMATE WINGMAN.

561
00:30:30,000 --> 00:30:33,331
TRADEMARK BANDANA AND WRAPPED IN
COMPLEXITY, LITTLE STEVEN, NOW
73, REMAINS A TRUE AMERICAN
ORIGINAL, THE ULTIMATE WINGMAN.

562
00:30:33,398 --> 00:30:36,000
>> I'M NOT CRAZY ABOUT THE
SPOTLIGHT.
I COULD HAVE BEEN AND MAYBE I
SHOULD HAVE BEEN, OKAY, BECAUSE,

563
00:30:36,000 --> 00:30:40,371
>> I'M NOT CRAZY ABOUT THE
SPOTLIGHT.
I COULD HAVE BEEN AND MAYBE I
SHOULD HAVE BEEN, OKAY, BECAUSE,

564
00:30:40,438 --> 00:30:42,000
AGAIN, YOU REALIZE THAT HAS BIG
ADVANTAGES.
BUT NATURALLY I JUST WASN'T INTO
IT.

565
00:30:42,000 --> 00:30:45,910
AGAIN, YOU REALIZE THAT HAS BIG
ADVANTAGES.
BUT NATURALLY I JUST WASN'T INTO
IT.

566
00:30:45,977 --> 00:30:48,000
I'D RATHER BE STANDING NEXT TO
THE GUY, LET HIM BE IN THE
SPOTLIGHT, LET HIM TAKE THE
HEAT, BECAUSE I LIKE TO BLEND IN

567
00:30:48,000 --> 00:30:52,617
I'D RATHER BE STANDING NEXT TO
THE GUY, LET HIM BE IN THE
SPOTLIGHT, LET HIM TAKE THE
HEAT, BECAUSE I LIKE TO BLEND IN

568
00:30:52,684 --> 00:30:54,000
ACTUALLY.
>> YEAH, I CAN TELL BY THE -- BY
THE MODEST, MEASURED OUTFIT.
>> I GAVE UP TRYING TO ANALYZE

569
00:30:54,000 --> 00:30:59,224
ACTUALLY.
>> YEAH, I CAN TELL BY THE -- BY
THE MODEST, MEASURED OUTFIT.
>> I GAVE UP TRYING TO ANALYZE

570
00:30:59,290 --> 00:31:00,000
IT YEARS AGO.
BUT I PREFER TO BE AN OBSERVER
RATHER THAN THE OBSERVED.
>> CAN I BREAK IT TO YOU?

571
00:31:00,000 --> 00:31:06,000
IT YEARS AGO.
BUT I PREFER TO BE AN OBSERVER
RATHER THAN THE OBSERVED.
>> CAN I BREAK IT TO YOU?

572
00:31:06,000 --> 00:31:09,701
IT YEARS AGO.
BUT I PREFER TO BE AN OBSERVER
RATHER THAN THE OBSERVED.
>> CAN I BREAK IT TO YOU?

573
00:31:09,767 --> 00:31:12,000
>> SHOULD I LIE DOWN ON THE
COUCH?
>> Reporter: ONE THING HE'S NOT
QUESTIONING, HIS PLACE IN THE

574
00:31:12,000 --> 00:31:14,739
>> SHOULD I LIE DOWN ON THE
COUCH?
>> Reporter: ONE THING HE'S NOT
QUESTIONING, HIS PLACE IN THE

575
00:31:14,806 --> 00:31:18,000
BAND.
>> PEOPLE ARE SAYING, AREN'T YOU
WORRIED ABOUT BEING REPLACED?
OH, MY GOD, NO.

576
00:31:18,000 --> 00:31:20,144
BAND.
>> PEOPLE ARE SAYING, AREN'T YOU
WORRIED ABOUT BEING REPLACED?
OH, MY GOD, NO.

577
00:31:20,211 --> 00:31:24,000
I CAN'T BE REPLACED.
HOW MANY BEST FRIENDS DO YOU
HAVE FOR 50 YEARS, YOU KNOW?
>> Reporter: THE BEST FRIEND HE

578
00:31:24,000 --> 00:31:25,817
I CAN'T BE REPLACED.
HOW MANY BEST FRIENDS DO YOU
HAVE FOR 50 YEARS, YOU KNOW?
>> Reporter: THE BEST FRIEND HE

579
00:31:25,883 --> 00:31:30,000
REFERENCES, OF COURSE, IS
SPRINGSTEEN.
THEY MET AS TEENAGERS IN 1960s
JERSEY, MISFITS SEDUCED BY ROCK

580
00:31:30,000 --> 00:31:32,757
REFERENCES, OF COURSE, IS
SPRINGSTEEN.
THEY MET AS TEENAGERS IN 1960s
JERSEY, MISFITS SEDUCED BY ROCK

581
00:31:32,824 --> 00:31:36,000
AND ROLL.
TO QUOTE LITTLE STEVEN, THE
BEATLES REVEALED THIS NEW WORLD
TO US, THE ROLLING STONES

582
00:31:36,000 --> 00:31:39,163
AND ROLL.
TO QUOTE LITTLE STEVEN, THE
BEATLES REVEALED THIS NEW WORLD
TO US, THE ROLLING STONES

583
00:31:39,230 --> 00:31:42,000
INVITED US IN.
THEY FORMED A BAND ANCHORED IN
AS BURY PARK.
GIVEN THAT VAN ZANDT HAD A

584
00:31:42,000 --> 00:31:46,704
INVITED US IN.
THEY FORMED A BAND ANCHORED IN
AS BURY PARK.
GIVEN THAT VAN ZANDT HAD A

585
00:31:46,771 --> 00:31:48,000
MONTHLY OVERHEAD OF $150 IN
RENT, THE GOING WAS GOOD.
MORE IMPORTANT, THE BAND LEARNED
HOW TO PLAY LIVE, HOW TO MARRY

586
00:31:48,000 --> 00:31:54,000
MONTHLY OVERHEAD OF $150 IN
RENT, THE GOING WAS GOOD.
MORE IMPORTANT, THE BAND LEARNED
HOW TO PLAY LIVE, HOW TO MARRY

587
00:31:54,000 --> 00:31:54,078
MONTHLY OVERHEAD OF $150 IN
RENT, THE GOING WAS GOOD.
MORE IMPORTANT, THE BAND LEARNED
HOW TO PLAY LIVE, HOW TO MARRY

588
00:31:54,145 --> 00:32:00,000
MUSICIANSHIP WITH SHOWMANSHIP.
>> THE FACT THAT WE WERE IN BARS
MAKING OUR BONES, YOU KNOW,
WHAT, SEVEN YEAR BFS BEFORE WE

589
00:32:00,000 --> 00:32:04,956
MUSICIANSHIP WITH SHOWMANSHIP.
>> THE FACT THAT WE WERE IN BARS
MAKING OUR BONES, YOU KNOW,
WHAT, SEVEN YEAR BFS BEFORE WE

590
00:32:05,023 --> 00:32:06,000
INTO THE MUSIC BUSINESS, RIGHT?
>> YOU GET INTO THIS GAME THIS
SPEAKS TO YOU.
WHAT'S IT BROUGHT YOU THAT YOU

591
00:32:06,000 --> 00:32:09,694
INTO THE MUSIC BUSINESS, RIGHT?
>> YOU GET INTO THIS GAME THIS
SPEAKS TO YOU.
WHAT'S IT BROUGHT YOU THAT YOU

592
00:32:09,761 --> 00:32:12,000
DIDN'T EXPECT?
>> OTHER THAN EVERYTHING, IT WAS
JUST EVERYTHING.
IT SAVED MY LIFE.

593
00:32:12,000 --> 00:32:14,599
DIDN'T EXPECT?
>> OTHER THAN EVERYTHING, IT WAS
JUST EVERYTHING.
IT SAVED MY LIFE.

594
00:32:14,666 --> 00:32:18,000
I MEAN, I DIDN'T -- I DIDN'T
HAVE ANY -- I DIDN'T HAVE ANY
PATH FORWARD.
SO, IT -- IT BRINGS YOU

595
00:32:18,000 --> 00:32:24,000
I MEAN, I DIDN'T -- I DIDN'T
HAVE ANY -- I DIDN'T HAVE ANY
PATH FORWARD.
SO, IT -- IT BRINGS YOU

596
00:32:24,000 --> 00:32:27,045
I MEAN, I DIDN'T -- I DIDN'T
HAVE ANY -- I DIDN'T HAVE ANY
PATH FORWARD.
SO, IT -- IT BRINGS YOU

597
00:32:27,111 --> 00:32:30,000
ACCEPTANCE, TO BE A PART OF
SOMETHING.
AND MAN, IT JUST CAME ALONG
RIGHT AT THE RIGHT TIME.

598
00:32:30,000 --> 00:32:31,983
ACCEPTANCE, TO BE A PART OF
SOMETHING.
AND MAN, IT JUST CAME ALONG
RIGHT AT THE RIGHT TIME.

599
00:32:32,050 --> 00:32:36,000
YOU'RE MAKING A LIVING PLAYING
ROCK AND ROLL, MAN.
THAT WAS THE MIRACLE.
>> Reporter: VAN ZANDT, WHO

600
00:32:36,000 --> 00:32:38,489
YOU'RE MAKING A LIVING PLAYING
ROCK AND ROLL, MAN.
THAT WAS THE MIRACLE.
>> Reporter: VAN ZANDT, WHO

601
00:32:38,556 --> 00:32:42,000
DOESN'T READ OR WRITE MUSIC,
BROUGHT HIS GUITAR CHOPS AND HIS
MUSICAL EAR.
♪

602
00:32:42,000 --> 00:32:48,000
DOESN'T READ OR WRITE MUSIC,
BROUGHT HIS GUITAR CHOPS AND HIS
MUSICAL EAR.
♪

603
00:32:48,000 --> 00:32:49,701
DOESN'T READ OR WRITE MUSIC,
BROUGHT HIS GUITAR CHOPS AND HIS
MUSICAL EAR.
♪

604
00:32:49,767 --> 00:32:54,000
ARRANGING THE ICONIC HORNS ON
TENTH AVENUE FREEZE OUT AND
POLISHES SPRINGSTEEN'S GUITAR
LICK ON "BORN TO RUN."

605
00:32:54,000 --> 00:33:00,000
ARRANGING THE ICONIC HORNS ON
TENTH AVENUE FREEZE OUT AND
POLISHES SPRINGSTEEN'S GUITAR
LICK ON "BORN TO RUN."

606
00:33:00,000 --> 00:33:04,282
ARRANGING THE ICONIC HORNS ON
TENTH AVENUE FREEZE OUT AND
POLISHES SPRINGSTEEN'S GUITAR
LICK ON "BORN TO RUN."

607
00:33:04,349 --> 00:33:06,000
>> HOW MUCH CREDIT DO YOU TAKE?
HOW MUCH CREDIT SHOULD YOU TAKE
FOR THE SUCCESS OF THIS BAND?
>> I UNDERSTOOD CERTAIN THINGS

608
00:33:06,000 --> 00:33:11,222
>> HOW MUCH CREDIT DO YOU TAKE?
HOW MUCH CREDIT SHOULD YOU TAKE
FOR THE SUCCESS OF THIS BAND?
>> I UNDERSTOOD CERTAIN THINGS

609
00:33:11,289 --> 00:33:12,000
EARLIER THAT EVERYBODY ELSE --
IF YOU LISTEN TO "TOWN," I
LISTEN TO "RIVER," THE
DIFFERENCE IS ME, YOU KNOW?

610
00:33:12,000 --> 00:33:18,000
EARLIER THAT EVERYBODY ELSE --
IF YOU LISTEN TO "TOWN," I
LISTEN TO "RIVER," THE
DIFFERENCE IS ME, YOU KNOW?

611
00:33:18,000 --> 00:33:19,731
EARLIER THAT EVERYBODY ELSE --
IF YOU LISTEN TO "TOWN," I
LISTEN TO "RIVER," THE
DIFFERENCE IS ME, YOU KNOW?

612
00:33:19,797 --> 00:33:24,000
I'M NOT EVER GOING TO TAKE MORE
CREDIT THAN THE REST OF THIS
BAND, SO I JUST WAS HELPING
SHAPE THINGS AND REALIZE BRUCE'S

613
00:33:24,000 --> 00:33:29,307
I'M NOT EVER GOING TO TAKE MORE
CREDIT THAN THE REST OF THIS
BAND, SO I JUST WAS HELPING
SHAPE THINGS AND REALIZE BRUCE'S

614
00:33:29,374 --> 00:33:30,000
VISION.
IT'S HIS VISION.
I TRY TO MAKE BAD THINGS GOOD,
GOOD THINGS GREAT, AND GREAT

615
00:33:30,000 --> 00:33:34,545
VISION.
IT'S HIS VISION.
I TRY TO MAKE BAD THINGS GOOD,
GOOD THINGS GREAT, AND GREAT

616
00:33:34,612 --> 00:33:36,000
THINGS BETTER.
>> Reporter: YET AFTER AN
ARGUMENT OVER CREATIVE INPUT,
VAN ZANDT LEFT THE BAND IN 1984

617
00:33:36,000 --> 00:33:39,951
THINGS BETTER.
>> Reporter: YET AFTER AN
ARGUMENT OVER CREATIVE INPUT,
VAN ZANDT LEFT THE BAND IN 1984

618
00:33:40,017 --> 00:33:42,000
AND WAS CONSPICUOUSLY ABSENT ON
TOUR FOR SPRINGSTEEN'S MOST
COMMERCIALLY SUCCESSFUL ALBUM.
HE HAD MARRIED ACTRESS MAUREEN

619
00:33:42,000 --> 00:33:48,000
AND WAS CONSPICUOUSLY ABSENT ON
TOUR FOR SPRINGSTEEN'S MOST
COMMERCIALLY SUCCESSFUL ALBUM.
HE HAD MARRIED ACTRESS MAUREEN

620
00:33:48,000 --> 00:33:48,693
AND WAS CONSPICUOUSLY ABSENT ON
TOUR FOR SPRINGSTEEN'S MOST
COMMERCIALLY SUCCESSFUL ALBUM.
HE HAD MARRIED ACTRESS MAUREEN

621
00:33:48,760 --> 00:33:54,000
SANTORO AND STARTED WRITING
SONGS FOR HIS OWN BAND, LITTLE
STEVEN AND THE DISCIPLES OF
SOUL.

622
00:33:54,000 --> 00:33:58,169
SANTORO AND STARTED WRITING
SONGS FOR HIS OWN BAND, LITTLE
STEVEN AND THE DISCIPLES OF
SOUL.

623
00:33:58,236 --> 00:34:00,000
♪
AND HE TURNED HIS ATTENTION TO
POLITICAL ACTIVISM, MOST NOTABLY
TO APARTHEID IN SOUTH AFRICA.

624
00:34:00,000 --> 00:34:06,000
♪
AND HE TURNED HIS ATTENTION TO
POLITICAL ACTIVISM, MOST NOTABLY
TO APARTHEID IN SOUTH AFRICA.

625
00:34:06,000 --> 00:34:06,411
♪
AND HE TURNED HIS ATTENTION TO
POLITICAL ACTIVISM, MOST NOTABLY
TO APARTHEID IN SOUTH AFRICA.

626
00:34:06,477 --> 00:34:12,000
>> 26 MILLION BLACK PEOPLE COULD
NOT VOTE, COULD NOT EVEN HAVE A,
YOU KNOW, A CUP OF TEA WITH A
WHITE PERSON WITHOUT PERMISSION.

627
00:34:12,000 --> 00:34:13,751
>> 26 MILLION BLACK PEOPLE COULD
NOT VOTE, COULD NOT EVEN HAVE A,
YOU KNOW, A CUP OF TEA WITH A
WHITE PERSON WITHOUT PERMISSION.

628
00:34:13,818 --> 00:34:18,000
IT'S TERRIBLE.
>> Reporter: IN 1985, VAN ZANDT
WROTE AND COPRODUCED THE PROTEST
SONG, "SUN CITY."

629
00:34:18,000 --> 00:34:22,393
IT'S TERRIBLE.
>> Reporter: IN 1985, VAN ZANDT
WROTE AND COPRODUCED THE PROTEST
SONG, "SUN CITY."

630
00:34:22,460 --> 00:34:24,000
♪ YOU WANT TO PLAY SUN CITY ♪
>> Reporter: WHICH CAST THE
RESORT TOWN THREE HOURS OUTSIDE
JOHANNESBURG, AS A SYMBOL OF

631
00:34:24,000 --> 00:34:30,000
♪ YOU WANT TO PLAY SUN CITY ♪
>> Reporter: WHICH CAST THE
RESORT TOWN THREE HOURS OUTSIDE
JOHANNESBURG, AS A SYMBOL OF

632
00:34:30,000 --> 00:34:35,873
♪ YOU WANT TO PLAY SUN CITY ♪
>> Reporter: WHICH CAST THE
RESORT TOWN THREE HOURS OUTSIDE
JOHANNESBURG, AS A SYMBOL OF

633
00:34:35,940 --> 00:34:36,000
MORAL FAILURE OF APARTHEID.
HE GOT THEM TO COMMIT TO A
BOYCOTT.
>> WE USED THAT AS AN EXAMPLE

634
00:34:36,000 --> 00:34:41,212
MORAL FAILURE OF APARTHEID.
HE GOT THEM TO COMMIT TO A
BOYCOTT.
>> WE USED THAT AS AN EXAMPLE

635
00:34:41,279 --> 00:34:42,000
AND WE EXPOSED THAT WHOLE
FRAUDULENT SCHEME.
>> AIN'T GONNA PLAY SUN CITY.
>> YEAH.

636
00:34:42,000 --> 00:34:48,000
AND WE EXPOSED THAT WHOLE
FRAUDULENT SCHEME.
>> AIN'T GONNA PLAY SUN CITY.
>> YEAH.

637
00:34:48,000 --> 00:34:48,352
AND WE EXPOSED THAT WHOLE
FRAUDULENT SCHEME.
>> AIN'T GONNA PLAY SUN CITY.
>> YEAH.

638
00:34:48,419 --> 00:34:54,000
>> Reporter: IN THE LATE '90s,
HE AND SFRIENG RECONCILED.
AND WHEN HIS BOSS ASKED HIM TO
REJOIN THE E STREET BAND, WELL,

639
00:34:54,000 --> 00:34:55,993
>> Reporter: IN THE LATE '90s,
HE AND SFRIENG RECONCILED.
AND WHEN HIS BOSS ASKED HIM TO
REJOIN THE E STREET BAND, WELL,

640
00:34:56,060 --> 00:35:00,000
THIS GUN WAS FOR HIRE.
♪ WOKE UP THIS MORNING ♪
♪ GOT YOURSELF A GUN ♪
>> Reporter: BUT THERE WAS A

641
00:35:00,000 --> 00:35:02,934
THIS GUN WAS FOR HIRE.
♪ WOKE UP THIS MORNING ♪
♪ GOT YOURSELF A GUN ♪
>> Reporter: BUT THERE WAS A

642
00:35:03,000 --> 00:35:06,000
HITCH.
VAN ZANDT HAD ALREADY COMMITTED
TO A NEW TV SHOW ON HBO.
>> I GENERALLY DON'T THINK

643
00:35:06,000 --> 00:35:08,172
HITCH.
VAN ZANDT HAD ALREADY COMMITTED
TO A NEW TV SHOW ON HBO.
>> I GENERALLY DON'T THINK

644
00:35:08,239 --> 00:35:12,000
THERE'S ANYTHING TO GAIN BY
KEEPING HIM AROUND.
>> THE CREATOR, DAVID CHASE, HAD
SEEN VAN ZANDT AT THE ROCK AND

645
00:35:12,000 --> 00:35:13,878
THERE'S ANYTHING TO GAIN BY
KEEPING HIM AROUND.
>> THE CREATOR, DAVID CHASE, HAD
SEEN VAN ZANDT AT THE ROCK AND

646
00:35:13,945 --> 00:35:18,000
ROLL HALL OF FAME, MADE HIM AN
OFFER HE COULDN'T REFUSE.
>> HE CALLS SAYS, YOU KNOW, YOU
WANT TO BE IN MY NEW TV SHOW?

647
00:35:18,000 --> 00:35:21,018
ROLL HALL OF FAME, MADE HIM AN
OFFER HE COULDN'T REFUSE.
>> HE CALLS SAYS, YOU KNOW, YOU
WANT TO BE IN MY NEW TV SHOW?

648
00:35:21,085 --> 00:35:24,000
I SAID, WOW, THAT'S REALLY NICE,
DAVID.
I REALLY APPRECIATE THAT, BUT,
NO, NOT REALLY, YOU KNOW?

649
00:35:24,000 --> 00:35:27,592
I SAID, WOW, THAT'S REALLY NICE,
DAVID.
I REALLY APPRECIATE THAT, BUT,
NO, NOT REALLY, YOU KNOW?

650
00:35:27,658 --> 00:35:30,000
HE SAID, WHAT DO YOU MEAN NO?
I'M LIKE, I'M NOT AN OKAY
INVESTOR.
ISN'T

651
00:35:30,000 --> 00:35:34,565
HE SAID, WHAT DO YOU MEAN NO?
I'M LIKE, I'M NOT AN OKAY
INVESTOR.
ISN'T

652
00:35:34,632 --> 00:35:36,000
AN ACTOR.
ISN'T THAT A PROBLEM.
>> VAN ZANDT SAYS HE WANTED HIM
TO PLAY THE LEAD.

653
00:35:36,000 --> 00:35:39,604
AN ACTOR.
ISN'T THAT A PROBLEM.
>> VAN ZANDT SAYS HE WANTED HIM
TO PLAY THE LEAD.

654
00:35:39,670 --> 00:35:42,000
>> HBO, ARE YOU OUT OF YOUR
MIND?
I'VE NEVER ACTED BEFORE.
>>

655
00:35:42,000 --> 00:35:47,044
>> HBO, ARE YOU OUT OF YOUR
MIND?
I'VE NEVER ACTED BEFORE.
>>

656
00:35:47,111 --> 00:35:48,000
>> THE SOPRANOS WOULD ELEVATE
TELEVISION.
WHILE THE LEAD WOULD GO TO JAMES
GANN GOL

657
00:35:48,000 --> 00:35:54,000
>> THE SOPRANOS WOULD ELEVATE
TELEVISION.
WHILE THE LEAD WOULD GO TO JAMES
GANN GOL

658
00:35:54,000 --> 00:36:00,000
>> THE SOPRANOS WOULD ELEVATE
TELEVISION.
WHILE THE LEAD WOULD GO TO JAMES
GANN GOL

659
00:36:00,000 --> 00:36:00,658
>> THE SOPRANOS WOULD ELEVATE
TELEVISION.
WHILE THE LEAD WOULD GO TO JAMES
GANN GOL

660
00:36:00,725 --> 00:36:04,328
GANDOLFINI.
>> I KNEW IF I COULD SEE HIM IN
THE MIRROR, I FELT I COULD BE
HIM.

661
00:36:04,395 --> 00:36:06,000
I WAS A LITTLE BIT OF A MOB
AFICIONADO.
I PLAYED -- FOR CHRIST'S SAKE.
WHO HAS BETTER CREDIBILITY THAN

662
00:36:06,000 --> 00:36:12,000
I WAS A LITTLE BIT OF A MOB
AFICIONADO.
I PLAYED -- FOR CHRIST'S SAKE.
WHO HAS BETTER CREDIBILITY THAN

663
00:36:12,000 --> 00:36:13,404
I WAS A LITTLE BIT OF A MOB
AFICIONADO.
I PLAYED -- FOR CHRIST'S SAKE.
WHO HAS BETTER CREDIBILITY THAN

664
00:36:13,471 --> 00:36:18,000
THAT?
>> DON'T GET ME WRONG.
>> Reporter: THE GUY WHO PLAYED
TONY SOPRANO'S RIGHT-HAND MAN,

665
00:36:18,000 --> 00:36:18,342
THAT?
>> DON'T GET ME WRONG.
>> Reporter: THE GUY WHO PLAYED
TONY SOPRANO'S RIGHT-HAND MAN,

666
00:36:18,409 --> 00:36:24,000
HE HAD MORE THAN A PASSING
FAMILIARITY WITH THE PART.
>> I DON'T WANT TO LIKEN BRUCE
SPRINGSTEEN TO A MOB BOSS, BUT

667
00:36:24,000 --> 00:36:25,416
HE HAD MORE THAN A PASSING
FAMILIARITY WITH THE PART.
>> I DON'T WANT TO LIKEN BRUCE
SPRINGSTEEN TO A MOB BOSS, BUT

668
00:36:25,483 --> 00:36:30,000
YOU --
>> A LITTLE BIT?
>> YOU'VE HAD THAT EXPERIENCE.
YOU'VE DONE THAT DRILL.

669
00:36:30,000 --> 00:36:30,521
YOU --
>> A LITTLE BIT?
>> YOU'VE HAD THAT EXPERIENCE.
YOU'VE DONE THAT DRILL.

670
00:36:30,588 --> 00:36:35,993
YOU KNEW WHAT IT WAS LIKE TO
BE --
>> I KNOW THOSE DYNAMICS.
I KNOW BEING THE ONLY GUY WHO'S

671
00:36:36,060 --> 00:36:39,931
NOT AFRAID TO TELL THE BOSS THE
TRUTH.
THAT'S THE JOB, OKAY?
THAT'S THE GIG.

672
00:36:39,997 --> 00:36:42,000
IF YOU'RE THE GUY'S BEST FRIEND
OR THE UNDERBOSS, YOU KNOW,
SOMEBODY HAS TO BE THE ONE TO
OCCASIONALLY BRING BAD NEWS.

673
00:36:42,000 --> 00:36:48,000
IF YOU'RE THE GUY'S BEST FRIEND
OR THE UNDERBOSS, YOU KNOW,
SOMEBODY HAS TO BE THE ONE TO
OCCASIONALLY BRING BAD NEWS.

674
00:36:48,000 --> 00:36:51,676
IF YOU'RE THE GUY'S BEST FRIEND
OR THE UNDERBOSS, YOU KNOW,
SOMEBODY HAS TO BE THE ONE TO
OCCASIONALLY BRING BAD NEWS.

675
00:36:51,742 --> 00:36:54,000
>> WHAT WAS AN ADJUSTMENT, THE
PASSIVE AGGRESSIVENESS OF THE
ACTING STAGE.
>> NOW IT'S LIKE WHO'S GOT MORE

676
00:36:54,000 --> 00:36:57,415
>> WHAT WAS AN ADJUSTMENT, THE
PASSIVE AGGRESSIVENESS OF THE
ACTING STAGE.
>> NOW IT'S LIKE WHO'S GOT MORE

677
00:36:57,481 --> 00:37:00,000
LINES, WHO'S GOING TO BE IN
FRONT OF THE CAMERA AT THE RIGHT
TIME.
SO, I'M SENSING ALL THIS KIND OF

678
00:37:00,000 --> 00:37:02,320
LINES, WHO'S GOING TO BE IN
FRONT OF THE CAMERA AT THE RIGHT
TIME.
SO, I'M SENSING ALL THIS KIND OF

679
00:37:02,386 --> 00:37:06,000
WEIRD -- YOU KNOW, LITTLE BIT
WEIRD -- I'M NOT USED TO THIS
KIND OF --
>> THIS TENSION.

680
00:37:06,000 --> 00:37:07,191
WEIRD -- YOU KNOW, LITTLE BIT
WEIRD -- I'M NOT USED TO THIS
KIND OF --
>> THIS TENSION.

681
00:37:07,258 --> 00:37:12,000
>> YEAH.
AND I DECIDED I'M GOING TO TURN
THIS SHOW INTO A ROCK AND ROLL
BAND.

682
00:37:12,000 --> 00:37:12,129
>> YEAH.
AND I DECIDED I'M GOING TO TURN
THIS SHOW INTO A ROCK AND ROLL
BAND.

683
00:37:12,196 --> 00:37:18,000
YOU KNOW, BEFORE I'M DONE, OKAY?
THIS SHOW IS GOING TO BE A BAND.
IT'S ONE FOR ALL, ALL FOR ONE,
RIGHT?

684
00:37:18,000 --> 00:37:19,737
YOU KNOW, BEFORE I'M DONE, OKAY?
THIS SHOW IS GOING TO BE A BAND.
IT'S ONE FOR ALL, ALL FOR ONE,
RIGHT?

685
00:37:19,804 --> 00:37:24,000
>> WHO'S THIS GUY?
>> Reporter: AN ORIGINALS
"SOPRANOS" POSTER IS ONE OF THE
RELICS ADORNING HIS STUDIO IN

686
00:37:24,000 --> 00:37:30,000
>> WHO'S THIS GUY?
>> Reporter: AN ORIGINALS
"SOPRANOS" POSTER IS ONE OF THE
RELICS ADORNING HIS STUDIO IN

687
00:37:30,000 --> 00:37:30,348
>> WHO'S THIS GUY?
>> Reporter: AN ORIGINALS
"SOPRANOS" POSTER IS ONE OF THE
RELICS ADORNING HIS STUDIO IN

688
00:37:30,414 --> 00:37:36,000
GREENWICH VILLAGE.
VAN ZANDT BEING VAN ZANDT
EMBARKED ON NEW PROJECTS.
HE STARTED HIS MEMOIR.

689
00:37:36,000 --> 00:37:36,554
GREENWICH VILLAGE.
VAN ZANDT BEING VAN ZANDT
EMBARKED ON NEW PROJECTS.
HE STARTED HIS MEMOIR.

690
00:37:36,621 --> 00:37:42,000
AND HE COWROTE AND STARRED IN
"LILYHAMMER," A MOB SHOW BASED
IN NORWAY THAT WOULD BECOME THE
FIRST ORIGINAL SERIES IN THE

691
00:37:42,000 --> 00:37:44,762
AND HE COWROTE AND STARRED IN
"LILYHAMMER," A MOB SHOW BASED
IN NORWAY THAT WOULD BECOME THE
FIRST ORIGINAL SERIES IN THE

692
00:37:44,829 --> 00:37:48,000
HISTORY OF A STREAMING SERVICE
CALLED NETFLIX.
>> TAKE IT EASY.
WHERE ARE YOU GOING?

693
00:37:48,000 --> 00:37:51,068
HISTORY OF A STREAMING SERVICE
CALLED NETFLIX.
>> TAKE IT EASY.
WHERE ARE YOU GOING?

694
00:37:51,135 --> 00:37:54,000
>> Reporter: BUT WAIT, THERE'S
MORE.
CONCERNED ABOUT THE DECLINE IN
ROCK VENUES AND ALBUM SALES, HE

695
00:37:54,000 --> 00:37:58,042
>> Reporter: BUT WAIT, THERE'S
MORE.
CONCERNED ABOUT THE DECLINE IN
ROCK VENUES AND ALBUM SALES, HE

696
00:37:58,109 --> 00:38:00,000
LAUNCHED A WEEKLY RADIO PROGRAM,
"LITTLE STEVEN'S UNDERGROUND
GARAGE."
>> YOU WOULDN'T MIND YOU WERE

697
00:38:00,000 --> 00:38:06,000
LAUNCHED A WEEKLY RADIO PROGRAM,
"LITTLE STEVEN'S UNDERGROUND
GARAGE."
>> YOU WOULDN'T MIND YOU WERE

698
00:38:06,000 --> 00:38:07,785
LAUNCHED A WEEKLY RADIO PROGRAM,
"LITTLE STEVEN'S UNDERGROUND
GARAGE."
>> YOU WOULDN'T MIND YOU WERE

699
00:38:07,852 --> 00:38:12,000
SUPPLANTED A LITTLE BIT ABOUT A
NEW WAVE OF FANS?
>> I'D LOVE IT.
>> Reporter: HE ALSO FOUND THE

700
00:38:12,000 --> 00:38:14,325
SUPPLANTED A LITTLE BIT ABOUT A
NEW WAVE OF FANS?
>> I'D LOVE IT.
>> Reporter: HE ALSO FOUND THE

701
00:38:14,392 --> 00:38:18,000
BANDWIDTH TO LAUNCH T-TRUCK, A
K-12 CURRICULUM THAT USES ROCK
AND ROLL TO SNEAK IN THE OTHER
STUFF.

702
00:38:18,000 --> 00:38:22,333
BANDWIDTH TO LAUNCH T-TRUCK, A
K-12 CURRICULUM THAT USES ROCK
AND ROLL TO SNEAK IN THE OTHER
STUFF.

703
00:38:22,400 --> 00:38:24,000
>> WE SAY, TELL US WHAT YOU'RE
LISTENING TO.
WELL, I'M LISTENING TO BEYONCE.
WELL, YOU KNOW WHERE BEYONCE

704
00:38:24,000 --> 00:38:27,238
>> WE SAY, TELL US WHAT YOU'RE
LISTENING TO.
WELL, I'M LISTENING TO BEYONCE.
WELL, YOU KNOW WHERE BEYONCE

705
00:38:27,304 --> 00:38:30,000
COMES FROM?
SHE COMES FROM A WOMAN NAMED
ARETHA FRANKLIN.
AND ARETHA FRANKLIN COMES FROM A

706
00:38:30,000 --> 00:38:33,477
COMES FROM?
SHE COMES FROM A WOMAN NAMED
ARETHA FRANKLIN.
AND ARETHA FRANKLIN COMES FROM A

707
00:38:33,544 --> 00:38:36,000
PLACE CALLED DETROIT.
WE TALK ABOUT DETROIT.
AND WE TALK ABOUT SHE COMES FROM
THE GOSPEL CHURCH.

708
00:38:36,000 --> 00:38:39,250
PLACE CALLED DETROIT.
WE TALK ABOUT DETROIT.
AND WE TALK ABOUT SHE COMES FROM
THE GOSPEL CHURCH.

709
00:38:39,316 --> 00:38:42,000
SHE WAS INVOLVED IN CIVIL
RIGHTS.
AND WE TALK ABOUT THAT, YOU
KNOW?

710
00:38:42,000 --> 00:38:42,119
SHE WAS INVOLVED IN CIVIL
RIGHTS.
AND WE TALK ABOUT THAT, YOU
KNOW?

711
00:38:42,186 --> 00:38:46,457
AND THEY'RE LISTENING AND
THEY'RE PAYING ATTENTION.
WHY?
BECAUSE WE'RE ON THEIR TURF.

712
00:38:46,524 --> 00:38:48,000
>> AND YET WE ALWAYS HEAR ABOUT
HOW ART AND MUSIC PROGRAMS ARE
GETTING CUT IN PUBLIC SCHOOLS.
WHY IS THAT?

713
00:38:48,000 --> 00:38:53,698
>> AND YET WE ALWAYS HEAR ABOUT
HOW ART AND MUSIC PROGRAMS ARE
GETTING CUT IN PUBLIC SCHOOLS.
WHY IS THAT?

714
00:38:53,764 --> 00:38:54,000
>> YES, IT'S BECAUSE PEOPLE
DON'T UNDERSTAND WE'RE THE ONLY
COUNTRY IN THE WORLD THAT THINKS
ART IS A LUXURY.

715
00:38:54,000 --> 00:39:00,000
>> YES, IT'S BECAUSE PEOPLE
DON'T UNDERSTAND WE'RE THE ONLY
COUNTRY IN THE WORLD THAT THINKS
ART IS A LUXURY.

716
00:39:00,000 --> 00:39:00,905
>> YES, IT'S BECAUSE PEOPLE
DON'T UNDERSTAND WE'RE THE ONLY
COUNTRY IN THE WORLD THAT THINKS
ART IS A LUXURY.

717
00:39:00,971 --> 00:39:06,000
EVERYBODY ELSE IN THE WORLD
UNDERSTANDS ART IS AN ESSENTIAL
PART OF THE QUALITY OF LIFE.
>> THE CURRENT STATE OF PLAY IN

718
00:39:06,000 --> 00:39:08,145
EVERYBODY ELSE IN THE WORLD
UNDERSTANDS ART IS AN ESSENTIAL
PART OF THE QUALITY OF LIFE.
>> THE CURRENT STATE OF PLAY IN

719
00:39:08,212 --> 00:39:12,000
MUSIC MAKES HIM ALL THE MORE
GRATEFUL THAT A COUPLE OF JERSEY
NONCONFORMISTS TIMED IT RIGHT,
CAUGHT SOME BREAKS, AND BECAME

720
00:39:12,000 --> 00:39:17,655
MUSIC MAKES HIM ALL THE MORE
GRATEFUL THAT A COUPLE OF JERSEY
NONCONFORMISTS TIMED IT RIGHT,
CAUGHT SOME BREAKS, AND BECAME

721
00:39:17,722 --> 00:39:18,000
ROCK AND ROLL TITANS.
>> HOW DO YOU EVEN BEGIN TO
START DESCRIBING STEVEN VAN
ZANDT?

722
00:39:18,000 --> 00:39:22,560
ROCK AND ROLL TITANS.
>> HOW DO YOU EVEN BEGIN TO
START DESCRIBING STEVEN VAN
ZANDT?

723
00:39:22,626 --> 00:39:24,000
>> I DON'T KNOW IF I CAN DO THAT
EXCEPT ALL I CAN SAY IS I MET
HIM WHEN HE WAS 16.
STEVE IS THE -- OF THE E STREET

724
00:39:24,000 --> 00:39:30,000
>> I DON'T KNOW IF I CAN DO THAT
EXCEPT ALL I CAN SAY IS I MET
HIM WHEN HE WAS 16.
STEVE IS THE -- OF THE E STREET

725
00:39:30,000 --> 00:39:31,102
>> I DON'T KNOW IF I CAN DO THAT
EXCEPT ALL I CAN SAY IS I MET
HIM WHEN HE WAS 16.
STEVE IS THE -- OF THE E STREET

726
00:39:31,168 --> 00:39:36,000
BAND.
IF I HAVE QUESTIONS PERTAINING,
A DIRECTION FROM THE BAND OR
ISSUES WITH THE BAND OR

727
00:39:36,000 --> 00:39:40,244
BAND.
IF I HAVE QUESTIONS PERTAINING,
A DIRECTION FROM THE BAND OR
ISSUES WITH THE BAND OR

728
00:39:40,311 --> 00:39:42,000
SOMETHING LIKE THE SET LIST --
I'M NOT SURE WHAT WE'RE GOING TO
PLAY THAT NIGHT OR WHAT WE
SHOULD START WITH OR IF HE HAS

729
00:39:42,000 --> 00:39:48,000
SOMETHING LIKE THE SET LIST --
I'M NOT SURE WHAT WE'RE GOING TO
PLAY THAT NIGHT OR WHAT WE
SHOULD START WITH OR IF HE HAS

730
00:39:48,000 --> 00:39:48,385
SOMETHING LIKE THE SET LIST --
I'M NOT SURE WHAT WE'RE GOING TO
PLAY THAT NIGHT OR WHAT WE
SHOULD START WITH OR IF HE HAS

731
00:39:48,452 --> 00:39:53,691
SECOND DOUBTS ABOUT SOMETHING,
HE ALWAYS COMES TO ME.
SO, HE'S BEEN ESSENTIAL TO ME
SINCE -- I DON'T KNOW -- SINCE

732
00:39:53,758 --> 00:39:54,000
HE WALKED INTO THE STUDIO DURING
THE "BORN TO RUN" SESSIONS AND
FIXED THE HORNS AND MY GUITAR
PARTS.

733
00:39:54,000 --> 00:40:00,000
HE WALKED INTO THE STUDIO DURING
THE "BORN TO RUN" SESSIONS AND
FIXED THE HORNS AND MY GUITAR
PARTS.

734
00:40:00,000 --> 00:40:01,632
HE WALKED INTO THE STUDIO DURING
THE "BORN TO RUN" SESSIONS AND
FIXED THE HORNS AND MY GUITAR
PARTS.

735
00:40:01,699 --> 00:40:06,000
AND WE'VE BEEN DOING IT TOGETHER
FOR A LONG TIME.
AND THAT'S A WONDERFUL THING.
HOW MANY PEOPLE HAVE THEIR BEST

736
00:40:06,000 --> 00:40:06,971
AND WE'VE BEEN DOING IT TOGETHER
FOR A LONG TIME.
AND THAT'S A WONDERFUL THING.
HOW MANY PEOPLE HAVE THEIR BEST

737
00:40:07,037 --> 00:40:12,000
FRIEND AT THEIR SIDE 50-SOME
YEARS LATER?
>> WHAT ARE YOU GUYS TALKING
ABOUT?

738
00:40:12,000 --> 00:40:14,311
FRIEND AT THEIR SIDE 50-SOME
YEARS LATER?
>> WHAT ARE YOU GUYS TALKING
ABOUT?

739
00:40:14,378 --> 00:40:18,000
>> THE SAME MUSIC.
WE LIKE THE SAME CLOTHES.
>> YOU GUYS MEET AT TEENAGERS.
YOU'RE JERSEY OUTCASTS.

740
00:40:18,000 --> 00:40:22,686
>> THE SAME MUSIC.
WE LIKE THE SAME CLOTHES.
>> YOU GUYS MEET AT TEENAGERS.
YOU'RE JERSEY OUTCASTS.

741
00:40:22,753 --> 00:40:24,000
AND HERE WE ARE MORE THAN 50
YEARS LATER, YOU'RE GOING OUT TO
PLAY CIRCUS MAXIMUS IN ROME.
>> YOU CAN'T PUT IT TOGETHER.

742
00:40:24,000 --> 00:40:30,000
AND HERE WE ARE MORE THAN 50
YEARS LATER, YOU'RE GOING OUT TO
PLAY CIRCUS MAXIMUS IN ROME.
>> YOU CAN'T PUT IT TOGETHER.

743
00:40:30,000 --> 00:40:31,028
AND HERE WE ARE MORE THAN 50
YEARS LATER, YOU'RE GOING OUT TO
PLAY CIRCUS MAXIMUS IN ROME.
>> YOU CAN'T PUT IT TOGETHER.

744
00:40:31,095 --> 00:40:35,432
IT'S ONE OF THOSE THINGS THAT
HAPPENS.
>> HOW DO YOU MAKE SENSE OF
THAT, SERIOUSLY?

745
00:40:35,499 --> 00:40:36,000
>> WELL, THE IN A WAY, IT MAKES
SENSE BECAUSE, I THINK, AS WE
MENTIONED, WE COULDN'T DO
ANYTHING.

746
00:40:36,000 --> 00:40:40,838
>> WELL, THE IN A WAY, IT MAKES
SENSE BECAUSE, I THINK, AS WE
MENTIONED, WE COULDN'T DO
ANYTHING.

747
00:40:40,905 --> 00:40:42,000
SO, WE WERE DESTINED TO DO THIS.
>> AND WE DID NOTHING ELSE.
SO, THAT HAS A LOT TO DO WITH IT
TOO.

748
00:40:42,000 --> 00:40:47,111
SO, WE WERE DESTINED TO DO THIS.
>> AND WE DID NOTHING ELSE.
SO, THAT HAS A LOT TO DO WITH IT
TOO.

749
00:40:47,178 --> 00:40:48,000
ALL WE DID WAS MUSIC, MUSIC,
MUSIC, MUSIC, PLAY IT, PLAY IT,
PLAY IT.
♪ GOING DOWN THE WELL TONIGHT ♪

750
00:40:48,000 --> 00:40:54,000
ALL WE DID WAS MUSIC, MUSIC,
MUSIC, MUSIC, PLAY IT, PLAY IT,
PLAY IT.
♪ GOING DOWN THE WELL TONIGHT ♪

751
00:40:54,000 --> 00:40:56,387
ALL WE DID WAS MUSIC, MUSIC,
MUSIC, MUSIC, PLAY IT, PLAY IT,
PLAY IT.
♪ GOING DOWN THE WELL TONIGHT ♪

752
00:40:56,453 --> 00:41:00,000
♪ GONNA DRINK UNTIL I GET MY
FILL ♪
>> Reporter: THAT, WE AND THE
REST OF THE CROWD EXPERIENCED

753
00:41:00,000 --> 00:41:04,995
♪ GONNA DRINK UNTIL I GET MY
FILL ♪
>> Reporter: THAT, WE AND THE
REST OF THE CROWD EXPERIENCED

754
00:41:05,062 --> 00:41:06,000
FOR OURSELVES.
>> HEY STEVE!
I THINK IT'S TIME TO GO HOME
NOW.

755
00:41:06,000 --> 00:41:09,834
FOR OURSELVES.
>> HEY STEVE!
I THINK IT'S TIME TO GO HOME
NOW.

756
00:41:09,900 --> 00:41:12,000
>> Reporter: STILL ROCKING OUT
IN HIS '70s, TRYING TO SAVE
RADIO, TRYING TO SAVE ROCK,
WRITING SCREENPLAYS, IF STEVEN

757
00:41:12,000 --> 00:41:17,741
>> Reporter: STILL ROCKING OUT
IN HIS '70s, TRYING TO SAVE
RADIO, TRYING TO SAVE ROCK,
WRITING SCREENPLAYS, IF STEVEN

758
00:41:17,808 --> 00:41:18,000
VAN ZANDT IS ACCUSED OF BEING AN
ARTISTIC DREAMER, WITHOUT
APOLOGY, HE WOULD PLEAD GUILTY.
>> IS THIS THE SONIC VERSION OF

759
00:41:18,000 --> 00:41:24,000
VAN ZANDT IS ACCUSED OF BEING AN
ARTISTIC DREAMER, WITHOUT
APOLOGY, HE WOULD PLEAD GUILTY.
>> IS THIS THE SONIC VERSION OF

760
00:41:24,000 --> 00:41:27,384
VAN ZANDT IS ACCUSED OF BEING AN
ARTISTIC DREAMER, WITHOUT
APOLOGY, HE WOULD PLEAD GUILTY.
>> IS THIS THE SONIC VERSION OF

761
00:41:27,451 --> 00:41:30,000
"DON
"DONKEY HOTY?"
>> THAT'S MY LIFE STORY.
>>> STEVEN VAN ZANDT ON JAMES

762
00:41:30,000 --> 00:41:36,000
"DON
"DONKEY HOTY?"
>> THAT'S MY LIFE STORY.
>>> STEVEN VAN ZANDT ON JAMES

763
00:41:36,000 --> 00:41:40,064
"DON
"DONKEY HOTY?"
>> THAT'S MY LIFE STORY.
>>> STEVEN VAN ZANDT ON JAMES

764
00:41:40,130 --> 00:41:42,000
GANDOLFINI.
>> YOU GUYS WERE CLOSE.
>> YEAH, I

765
00:41:42,000 --> 00:41:47,071
GANDOLFINI.
>> YOU GUYS WERE CLOSE.
>> YEAH, I