WEBVTT
Kind: captions
Language: en

00:00:11.320 --> 00:00:12.709
 
what's up sunshine hope you had an

00:00:12.709 --> 00:00:12.719
what's up sunshine hope you had an
 

00:00:12.719 --> 00:00:14.509
what's up sunshine hope you had an
awesome first weekend of spring hope you

00:00:14.509 --> 00:00:14.519
awesome first weekend of spring hope you
 

00:00:14.519 --> 00:00:16.830
awesome first weekend of spring hope you
like it a lot thanks to Mr bowler for

00:00:16.830 --> 00:00:16.840
like it a lot thanks to Mr bowler for
 

00:00:16.840 --> 00:00:18.349
like it a lot thanks to Mr bowler for
catching my movie reference during a

00:00:18.349 --> 00:00:18.359
catching my movie reference during a
 

00:00:18.359 --> 00:00:20.269
catching my movie reference during a
show last week so shout out to you and

00:00:20.269 --> 00:00:20.279
show last week so shout out to you and
 

00:00:20.279 --> 00:00:22.790
show last week so shout out to you and
your Fisher Falcons in Aurora Illinois

00:00:22.790 --> 00:00:22.800
your Fisher Falcons in Aurora Illinois
 

00:00:22.800 --> 00:00:25.230
your Fisher Falcons in Aurora Illinois
rise up I'm KY this is CNN 10 it's

00:00:25.230 --> 00:00:25.240
rise up I'm KY this is CNN 10 it's
 

00:00:25.240 --> 00:00:28.269
rise up I'm KY this is CNN 10 it's
Monday March 24th already the 83rd day

00:00:28.269 --> 00:00:28.279
Monday March 24th already the 83rd day
 

00:00:28.279 --> 00:00:31.109
Monday March 24th already the 83rd day
of the year so we have 28 2 days left to

00:00:31.109 --> 00:00:31.119
of the year so we have 28 2 days left to
 

00:00:31.119 --> 00:00:33.229
of the year so we have 28 2 days left to
shine in 2025 let's make the most of

00:00:33.229 --> 00:00:33.239
shine in 2025 let's make the most of
 

00:00:33.239 --> 00:00:34.950
shine in 2025 let's make the most of
this one and kick this week off with

00:00:34.950 --> 00:00:34.960
this one and kick this week off with
 

00:00:34.960 --> 00:00:37.069
this one and kick this week off with
what is the best 10 minutes in news

00:00:37.069 --> 00:00:37.079
what is the best 10 minutes in news
 

00:00:37.079 --> 00:00:39.350
what is the best 10 minutes in news
because of you we start today in London

00:00:39.350 --> 00:00:39.360
because of you we start today in London
 

00:00:39.360 --> 00:00:40.910
because of you we start today in London
where Heathrow Airport one of the

00:00:40.910 --> 00:00:40.920
where Heathrow Airport one of the
 

00:00:40.920 --> 00:00:42.830
where Heathrow Airport one of the
busiest airports in the world was

00:00:42.830 --> 00:00:42.840
busiest airports in the world was
 

00:00:42.840 --> 00:00:44.709
busiest airports in the world was
brought to a complete standstill after

00:00:44.709 --> 00:00:44.719
brought to a complete standstill after
 

00:00:44.719 --> 00:00:47.670
brought to a complete standstill after
losing power on Friday a massive

00:00:47.670 --> 00:00:47.680
losing power on Friday a massive
 

00:00:47.680 --> 00:00:50.229
losing power on Friday a massive
electrical substation fire in a nearby

00:00:50.229 --> 00:00:50.239
electrical substation fire in a nearby
 

00:00:50.239 --> 00:00:52.950
electrical substation fire in a nearby
London suburb plunged the airport and

00:00:52.950 --> 00:00:52.960
London suburb plunged the airport and
 

00:00:52.960 --> 00:00:55.670
London suburb plunged the airport and
thousands of homes nearby Into Darkness

00:00:55.670 --> 00:00:55.680
thousands of homes nearby Into Darkness
 

00:00:55.680 --> 00:00:58.150
thousands of homes nearby Into Darkness
while disrupting Global Travel for days

00:00:58.150 --> 00:00:58.160
while disrupting Global Travel for days
 

00:00:58.160 --> 00:01:00.270
while disrupting Global Travel for days
the result was travel chaos over the

00:01:00.270 --> 00:01:00.280
the result was travel chaos over the
 

00:01:00.280 --> 00:01:02.590
the result was travel chaos over the
weekend hundreds of planes headed for

00:01:02.590 --> 00:01:02.600
weekend hundreds of planes headed for
 

00:01:02.600 --> 00:01:04.829
weekend hundreds of planes headed for
Heathrow were diverted or turned back

00:01:04.829 --> 00:01:04.839
Heathrow were diverted or turned back
 

00:01:04.839 --> 00:01:07.270
Heathrow were diverted or turned back
when the substation failed the airport's

00:01:07.270 --> 00:01:07.280
when the substation failed the airport's
 

00:01:07.280 --> 00:01:09.190
when the substation failed the airport's
backup power system was running

00:01:09.190 --> 00:01:09.200
backup power system was running
 

00:01:09.200 --> 00:01:11.710
backup power system was running
immediately to support critical Safety

00:01:11.710 --> 00:01:11.720
immediately to support critical Safety
 

00:01:11.720 --> 00:01:14.390
immediately to support critical Safety
Systems but more than 1300 flights were

00:01:14.390 --> 00:01:14.400
Systems but more than 1300 flights were
 

00:01:14.400 --> 00:01:16.550
Systems but more than 1300 flights were
cancelled and hundreds of thousands of

00:01:16.550 --> 00:01:16.560
cancelled and hundreds of thousands of
 

00:01:16.560 --> 00:01:18.950
cancelled and hundreds of thousands of
Travelers were stranded officials are

00:01:18.950 --> 00:01:18.960
Travelers were stranded officials are
 

00:01:18.960 --> 00:01:20.830
Travelers were stranded officials are
investigating what started the fire that

00:01:20.830 --> 00:01:20.840
investigating what started the fire that
 

00:01:20.840 --> 00:01:23.069
investigating what started the fire that
took Crews more than 24 hours to fully

00:01:23.069 --> 00:01:23.079
took Crews more than 24 hours to fully
 

00:01:23.079 --> 00:01:25.910
took Crews more than 24 hours to fully
put out west London residents reported

00:01:25.910 --> 00:01:25.920
put out west London residents reported
 

00:01:25.920 --> 00:01:28.789
put out west London residents reported
explosions and a massive Fireball at the

00:01:28.789 --> 00:01:28.799
explosions and a massive Fireball at the
 

00:01:28.799 --> 00:01:30.670
explosions and a massive Fireball at the
substation just before midnight on

00:01:30.670 --> 00:01:30.680
substation just before midnight on
 

00:01:30.680 --> 00:01:33.069
substation just before midnight on
Thursday both the Metropolitan Police

00:01:33.069 --> 00:01:33.079
Thursday both the Metropolitan Police
 

00:01:33.079 --> 00:01:35.109
Thursday both the Metropolitan Police
and the London fire brigade say the

00:01:35.109 --> 00:01:35.119
and the London fire brigade say the
 

00:01:35.119 --> 00:01:37.270
and the London fire brigade say the
cause of the fire is not being treated

00:01:37.270 --> 00:01:37.280
cause of the fire is not being treated
 

00:01:37.280 --> 00:01:39.630
cause of the fire is not being treated
as suspicious the airport was up and

00:01:39.630 --> 00:01:39.640
as suspicious the airport was up and
 

00:01:39.640 --> 00:01:41.550
as suspicious the airport was up and
running again on Saturday and flights

00:01:41.550 --> 00:01:41.560
running again on Saturday and flights
 

00:01:41.560 --> 00:01:43.990
running again on Saturday and flights
have since resumed but it could be days

00:01:43.990 --> 00:01:44.000
have since resumed but it could be days
 

00:01:44.000 --> 00:01:45.990
have since resumed but it could be days
before flights are operating normally

00:01:45.990 --> 00:01:46.000
before flights are operating normally
 

00:01:46.000 --> 00:01:48.069
before flights are operating normally
again Airlines rely on carefully

00:01:48.069 --> 00:01:48.079
again Airlines rely on carefully
 

00:01:48.079 --> 00:01:50.350
again Airlines rely on carefully
coordinated networks to put planes and

00:01:50.350 --> 00:01:50.360
coordinated networks to put planes and
 

00:01:50.360 --> 00:01:52.389
coordinated networks to put planes and
crews in the right place at the right

00:01:52.389 --> 00:01:52.399
crews in the right place at the right
 

00:01:52.399 --> 00:01:54.550
crews in the right place at the right
time the closure forced dozens of

00:01:54.550 --> 00:01:54.560
time the closure forced dozens of
 

00:01:54.560 --> 00:01:56.709
time the closure forced dozens of
carriers to quickly restructure their

00:01:56.709 --> 00:01:56.719
carriers to quickly restructure their
 

00:01:56.719 --> 00:01:59.230
carriers to quickly restructure their
operations moving aircraft and staff

00:01:59.230 --> 00:01:59.240
operations moving aircraft and staff
 

00:01:59.240 --> 00:02:01.910
operations moving aircraft and staff
around the world CNN's Larry mowo is in

00:02:01.910 --> 00:02:01.920
around the world CNN's Larry mowo is in
 

00:02:01.920 --> 00:02:04.310
around the world CNN's Larry mowo is in
London to show us how people there dealt

00:02:04.310 --> 00:02:04.320
London to show us how people there dealt
 

00:02:04.320 --> 00:02:06.950
London to show us how people there dealt
with the extended

00:02:06.950 --> 00:02:06.960
with the extended
 

00:02:06.960 --> 00:02:10.270
with the extended
delays hist is finally fully open again

00:02:10.270 --> 00:02:10.280
delays hist is finally fully open again
 

00:02:10.280 --> 00:02:12.510
delays hist is finally fully open again
but that does not mean your flight will

00:02:12.510 --> 00:02:12.520
but that does not mean your flight will
 

00:02:12.520 --> 00:02:15.589
but that does not mean your flight will
take off and land on time or at all why

00:02:15.589 --> 00:02:15.599
take off and land on time or at all why
 

00:02:15.599 --> 00:02:17.750
take off and land on time or at all why
for instance British Airways expect only

00:02:17.750 --> 00:02:17.760
for instance British Airways expect only
 

00:02:17.760 --> 00:02:22.110
for instance British Airways expect only
85% capacity today that's because planes

00:02:22.110 --> 00:02:22.120
85% capacity today that's because planes
 

00:02:22.120 --> 00:02:24.190
85% capacity today that's because planes
Pilots cabin crew are not where they

00:02:24.190 --> 00:02:24.200
Pilots cabin crew are not where they
 

00:02:24.200 --> 00:02:26.509
Pilots cabin crew are not where they
should be they were diverted to airports

00:02:26.509 --> 00:02:26.519
should be they were diverted to airports
 

00:02:26.519 --> 00:02:28.670
should be they were diverted to airports
all across Europe some did not take off

00:02:28.670 --> 00:02:28.680
all across Europe some did not take off
 

00:02:28.680 --> 00:02:30.589
all across Europe some did not take off
at all trying to get to here through it

00:02:30.589 --> 00:02:30.599
at all trying to get to here through it
 

00:02:30.599 --> 00:02:33.070
at all trying to get to here through it
will take a few days until schedules are

00:02:33.070 --> 00:02:33.080
will take a few days until schedules are
 

00:02:33.080 --> 00:02:35.070
will take a few days until schedules are
back on track again the airport is

00:02:35.070 --> 00:02:35.080
back on track again the airport is
 

00:02:35.080 --> 00:02:37.430
back on track again the airport is
closed for almost 18 hours and when an

00:02:37.430 --> 00:02:37.440
closed for almost 18 hours and when an
 

00:02:37.440 --> 00:02:39.270
closed for almost 18 hours and when an
airport this big Europe's busiest

00:02:39.270 --> 00:02:39.280
airport this big Europe's busiest
 

00:02:39.280 --> 00:02:41.470
airport this big Europe's busiest
isclosed for almost a whole day that

00:02:41.470 --> 00:02:41.480
isclosed for almost a whole day that
 

00:02:41.480 --> 00:02:43.630
isclosed for almost a whole day that
affects a lot of people almost 20,000

00:02:43.630 --> 00:02:43.640
affects a lot of people almost 20,000
 

00:02:43.640 --> 00:02:44.750
affects a lot of people almost 20,000
people from around the world who are

00:02:44.750 --> 00:02:44.760
people from around the world who are
 

00:02:44.760 --> 00:02:47.550
people from around the world who are
trying to get here or to leave H says it

00:02:47.550 --> 00:02:47.560
trying to get here or to leave H says it
 

00:02:47.560 --> 00:02:48.750
trying to get here or to leave H says it
is supporting passengers who are

00:02:48.750 --> 00:02:48.760
is supporting passengers who are
 

00:02:48.760 --> 00:02:51.550
is supporting passengers who are
stranded to leave that's the priority

00:02:51.550 --> 00:02:51.560
stranded to leave that's the priority
 

00:02:51.560 --> 00:02:53.990
stranded to leave that's the priority
right now and it's working to try and

00:02:53.990 --> 00:02:54.000
right now and it's working to try and
 

00:02:54.000 --> 00:02:56.869
right now and it's working to try and
clear that as possible the advice check

00:02:56.869 --> 00:02:56.879
clear that as possible the advice check
 

00:02:56.879 --> 00:02:58.430
clear that as possible the advice check
with your airline if you have a flight

00:02:58.430 --> 00:02:58.440
with your airline if you have a flight
 

00:02:58.440 --> 00:03:01.390
with your airline if you have a flight
leaving hro or coming into hro check to

00:03:01.390 --> 00:03:01.400
leaving hro or coming into hro check to
 

00:03:01.400 --> 00:03:03.550
leaving hro or coming into hro check to
make sure that it's still on schedule

00:03:03.550 --> 00:03:03.560
make sure that it's still on schedule
 

00:03:03.560 --> 00:03:05.470
make sure that it's still on schedule
the British utility company National GD

00:03:05.470 --> 00:03:05.480
the British utility company National GD
 

00:03:05.480 --> 00:03:07.670
the British utility company National GD
has said it's deeply sorry for the

00:03:07.670 --> 00:03:07.680
has said it's deeply sorry for the
 

00:03:07.680 --> 00:03:09.869
has said it's deeply sorry for the
disruption caused by that fire at a

00:03:09.869 --> 00:03:09.879
disruption caused by that fire at a
 

00:03:09.879 --> 00:03:11.789
disruption caused by that fire at a
substation supplying the airport

00:03:11.789 --> 00:03:11.799
substation supplying the airport
 

00:03:11.799 --> 00:03:13.869
substation supplying the airport
authorities are investigating what

00:03:13.869 --> 00:03:13.879
authorities are investigating what
 

00:03:13.879 --> 00:03:15.270
authorities are investigating what
happened they're not treating it as

00:03:15.270 --> 00:03:15.280
happened they're not treating it as
 

00:03:15.280 --> 00:03:16.869
happened they're not treating it as
suspicious but the police say they're

00:03:16.869 --> 00:03:16.879
suspicious but the police say they're
 

00:03:16.879 --> 00:03:18.350
suspicious but the police say they're
keeping an open

00:03:18.350 --> 00:03:18.360
keeping an open
 

00:03:18.360 --> 00:03:22.030
keeping an open
mind 10c trivia which hurricane name has

00:03:22.030 --> 00:03:22.040
mind 10c trivia which hurricane name has
 

00:03:22.040 --> 00:03:23.509
mind 10c trivia which hurricane name has
been used the most during Hurricane

00:03:23.509 --> 00:03:23.519
been used the most during Hurricane
 

00:03:23.519 --> 00:03:26.869
been used the most during Hurricane
seasons in the Atlantic arleene Brett

00:03:26.869 --> 00:03:26.879
seasons in the Atlantic arleene Brett
 

00:03:26.879 --> 00:03:33.949
seasons in the Atlantic arleene Brett
Emily or Gordon

00:03:33.949 --> 00:03:33.959
 
 

00:03:33.959 --> 00:03:37.070
 
your answer is Arlene used 10 times

00:03:37.070 --> 00:03:37.080
your answer is Arlene used 10 times
 

00:03:37.080 --> 00:03:40.149
your answer is Arlene used 10 times
since 1959 lists of names are reused

00:03:40.149 --> 00:03:40.159
since 1959 lists of names are reused
 

00:03:40.159 --> 00:03:41.789
since 1959 lists of names are reused
every 6 years and names of very

00:03:41.789 --> 00:03:41.799
every 6 years and names of very
 

00:03:41.799 --> 00:03:43.990
every 6 years and names of very
destructive hurricanes are

00:03:43.990 --> 00:03:44.000
destructive hurricanes are
 

00:03:44.000 --> 00:03:46.350
destructive hurricanes are
retired as hurricanes in the Atlantic

00:03:46.350 --> 00:03:46.360
retired as hurricanes in the Atlantic
 

00:03:46.360 --> 00:03:48.429
retired as hurricanes in the Atlantic
grow more powerful year after year one

00:03:48.429 --> 00:03:48.439
grow more powerful year after year one
 

00:03:48.439 --> 00:03:49.949
grow more powerful year after year one
town in Florida is proving that

00:03:49.949 --> 00:03:49.959
town in Florida is proving that
 

00:03:49.959 --> 00:03:51.869
town in Florida is proving that
engineering communities to withstand

00:03:51.869 --> 00:03:51.879
engineering communities to withstand
 

00:03:51.879 --> 00:03:55.149
engineering communities to withstand
storms is possible developer Sid kitson

00:03:55.149 --> 00:03:55.159
storms is possible developer Sid kitson
 

00:03:55.159 --> 00:03:56.949
storms is possible developer Sid kitson
broke ground on one such sustainable

00:03:56.949 --> 00:03:56.959
broke ground on one such sustainable
 

00:03:56.959 --> 00:03:59.550
broke ground on one such sustainable
town in 2016 built and engineered to

00:03:59.550 --> 00:03:59.560
town in 2016 built and engineered to
 

00:03:59.560 --> 00:04:01.509
town in 2016 built and engineered to
with stand flooding and high winds the

00:04:01.509 --> 00:04:01.519
with stand flooding and high winds the
 

00:04:01.519 --> 00:04:03.270
with stand flooding and high winds the
community is surrounded by nature

00:04:03.270 --> 00:04:03.280
community is surrounded by nature
 

00:04:03.280 --> 00:04:05.309
community is surrounded by nature
preserves it has its own solar

00:04:05.309 --> 00:04:05.319
preserves it has its own solar
 

00:04:05.319 --> 00:04:07.869
preserves it has its own solar
electricity generation and in 2018 it

00:04:07.869 --> 00:04:07.879
electricity generation and in 2018 it
 

00:04:07.879 --> 00:04:09.589
electricity generation and in 2018 it
opened as Florida's first so-called

00:04:09.589 --> 00:04:09.599
opened as Florida's first so-called
 

00:04:09.599 --> 00:04:12.069
opened as Florida's first so-called
stormproof town our Bill Weir shows us

00:04:12.069 --> 00:04:12.079
stormproof town our Bill Weir shows us
 

00:04:12.079 --> 00:04:14.509
stormproof town our Bill Weir shows us
how Babcock Ranch held up when it came

00:04:14.509 --> 00:04:14.519
how Babcock Ranch held up when it came
 

00:04:14.519 --> 00:04:17.150
how Babcock Ranch held up when it came
time for the ultimate test these are

00:04:17.150 --> 00:04:17.160
time for the ultimate test these are
 

00:04:17.160 --> 00:04:20.830
time for the ultimate test these are
hurricane resistant windows up to 150

00:04:20.830 --> 00:04:20.840
hurricane resistant windows up to 150
 

00:04:20.840 --> 00:04:23.909
hurricane resistant windows up to 150
mph these things are Bowing in like

00:04:23.909 --> 00:04:23.919
mph these things are Bowing in like
 

00:04:23.919 --> 00:04:27.430
mph these things are Bowing in like
this former NFL lineman turn developer

00:04:27.430 --> 00:04:27.440
this former NFL lineman turn developer
 

00:04:27.440 --> 00:04:30.550
this former NFL lineman turn developer
Sid kitson bought 991,00 th Acres of

00:04:30.550 --> 00:04:30.560
Sid kitson bought 991,00 th Acres of
 

00:04:30.560 --> 00:04:32.830
Sid kitson bought 991,00 th Acres of
Florida wetlands and then sold most of

00:04:32.830 --> 00:04:32.840
Florida wetlands and then sold most of
 

00:04:32.840 --> 00:04:35.790
Florida wetlands and then sold most of
it back to the state so his dream town

00:04:35.790 --> 00:04:35.800
it back to the state so his dream town
 

00:04:35.800 --> 00:04:38.430
it back to the state so his dream town
would be surrounded by protected nature

00:04:38.430 --> 00:04:38.440
would be surrounded by protected nature
 

00:04:38.440 --> 00:04:40.870
would be surrounded by protected nature
which in a storm is the best water

00:04:40.870 --> 00:04:40.880
which in a storm is the best water
 

00:04:40.880 --> 00:04:43.950
which in a storm is the best water
storage system ever invented he also

00:04:43.950 --> 00:04:43.960
storage system ever invented he also
 

00:04:43.960 --> 00:04:46.870
storage system ever invented he also
buried Babcock's power lines landscaped

00:04:46.870 --> 00:04:46.880
buried Babcock's power lines landscaped
 

00:04:46.880 --> 00:04:49.110
buried Babcock's power lines landscaped
with only native plants and engineered

00:04:49.110 --> 00:04:49.120
with only native plants and engineered
 

00:04:49.120 --> 00:04:52.510
with only native plants and engineered
the whole town for high

00:04:52.510 --> 00:04:52.520
the whole town for high
 

00:04:52.520 --> 00:04:56.350
the whole town for high
winds then came the test category 4 Ian

00:04:56.350 --> 00:04:56.360
winds then came the test category 4 Ian
 

00:04:56.360 --> 00:04:58.430
winds then came the test category 4 Ian
which stalled over the 5,000 new

00:04:58.430 --> 00:04:58.440
which stalled over the 5,000 new
 

00:04:58.440 --> 00:05:00.430
which stalled over the 5,000 new
residents for 8 hours

00:05:00.430 --> 00:05:00.440
residents for 8 hours
 

00:05:00.440 --> 00:05:02.390
residents for 8 hours
was sit in the middle worried sick all

00:05:02.390 --> 00:05:02.400
was sit in the middle worried sick all
 

00:05:02.400 --> 00:05:04.590
was sit in the middle worried sick all
the

00:05:04.590 --> 00:05:04.600
the
 

00:05:04.600 --> 00:05:07.510
the
while next morning I got up I jumped in

00:05:07.510 --> 00:05:07.520
while next morning I got up I jumped in
 

00:05:07.520 --> 00:05:10.070
while next morning I got up I jumped in
my truck and I started driving around I

00:05:10.070 --> 00:05:10.080
my truck and I started driving around I
 

00:05:10.080 --> 00:05:12.350
my truck and I started driving around I
spent four or 5 hours I hit every single

00:05:12.350 --> 00:05:12.360
spent four or 5 hours I hit every single
 

00:05:12.360 --> 00:05:13.870
spent four or 5 hours I hit every single
neighborhood here talked to the people

00:05:13.870 --> 00:05:13.880
neighborhood here talked to the people
 

00:05:13.880 --> 00:05:16.029
neighborhood here talked to the people
but people were wandering around like

00:05:16.029 --> 00:05:16.039
but people were wandering around like
 

00:05:16.039 --> 00:05:17.390
but people were wandering around like
what what just

00:05:17.390 --> 00:05:17.400
what what just
 

00:05:17.400 --> 00:05:20.189
what what just
happened cuz on TV all you saw was

00:05:20.189 --> 00:05:20.199
happened cuz on TV all you saw was
 

00:05:20.199 --> 00:05:23.590
happened cuz on TV all you saw was
destruction unfortunately loss of life

00:05:23.590 --> 00:05:23.600
destruction unfortunately loss of life
 

00:05:23.600 --> 00:05:26.790
destruction unfortunately loss of life
and just all around us massive

00:05:26.790 --> 00:05:26.800
and just all around us massive
 

00:05:26.800 --> 00:05:28.790
and just all around us massive
flooding and they're walking around

00:05:28.790 --> 00:05:28.800
flooding and they're walking around
 

00:05:28.800 --> 00:05:31.950
flooding and they're walking around
going um

00:05:31.950 --> 00:05:31.960
 
 

00:05:31.960 --> 00:05:35.309
 
wow we're looking pretty

00:05:35.309 --> 00:05:35.319
wow we're looking pretty
 

00:05:35.319 --> 00:05:37.670
wow we're looking pretty
good while neighboring towns were

00:05:37.670 --> 00:05:37.680
good while neighboring towns were
 

00:05:37.680 --> 00:05:40.430
good while neighboring towns were
devastated Babcock Ranch never flooded

00:05:40.430 --> 00:05:40.440
devastated Babcock Ranch never flooded
 

00:05:40.440 --> 00:05:42.749
devastated Babcock Ranch never flooded
never lost power and has since Survived

00:05:42.749 --> 00:05:42.759
never lost power and has since Survived
 

00:05:42.759 --> 00:05:46.110
never lost power and has since Survived
Hurricane Milton in similar

00:05:46.110 --> 00:05:46.120
Hurricane Milton in similar
 

00:05:46.120 --> 00:05:48.309
Hurricane Milton in similar
fashion we've talked to a number of the

00:05:48.309 --> 00:05:48.319
fashion we've talked to a number of the
 

00:05:48.319 --> 00:05:50.790
fashion we've talked to a number of the
insurance companies and they're open to

00:05:50.790 --> 00:05:50.800
insurance companies and they're open to
 

00:05:50.800 --> 00:05:53.469
insurance companies and they're open to
rewarding good

00:05:53.469 --> 00:05:53.479
rewarding good
 

00:05:53.479 --> 00:05:56.230
rewarding good
behavior rewarding building the homes

00:05:56.230 --> 00:05:56.240
behavior rewarding building the homes
 

00:05:56.240 --> 00:05:58.150
behavior rewarding building the homes
the right way building a community the

00:05:58.150 --> 00:05:58.160
the right way building a community the
 

00:05:58.160 --> 00:05:59.670
the right way building a community the
right way cuz it's just not the home

00:05:59.670 --> 00:05:59.680
right way cuz it's just not the home
 

00:05:59.680 --> 00:06:02.430
right way cuz it's just not the home
construction but the community itself

00:06:02.430 --> 00:06:02.440
construction but the community itself
 

00:06:02.440 --> 00:06:10.029
construction but the community itself
also needs to be storm

00:06:10.029 --> 00:06:10.039
 
 

00:06:10.039 --> 00:06:12.230
 
resistant today's story getting a 10 out

00:06:12.230 --> 00:06:12.240
resistant today's story getting a 10 out
 

00:06:12.240 --> 00:06:15.189
resistant today's story getting a 10 out
of 10 a robot dog that is almost like

00:06:15.189 --> 00:06:15.199
of 10 a robot dog that is almost like
 

00:06:15.199 --> 00:06:17.830
of 10 a robot dog that is almost like
the real thing check out Luna a robot

00:06:17.830 --> 00:06:17.840
the real thing check out Luna a robot
 

00:06:17.840 --> 00:06:20.350
the real thing check out Luna a robot
pup created by a Swedish AI startup

00:06:20.350 --> 00:06:20.360
pup created by a Swedish AI startup
 

00:06:20.360 --> 00:06:22.029
pup created by a Swedish AI startup
company that says this four-legged

00:06:22.029 --> 00:06:22.039
company that says this four-legged
 

00:06:22.039 --> 00:06:24.070
company that says this four-legged
friend can learn and adapt just like a

00:06:24.070 --> 00:06:24.080
friend can learn and adapt just like a
 

00:06:24.080 --> 00:06:26.790
friend can learn and adapt just like a
real fur baby our Anna Stewart shows us

00:06:26.790 --> 00:06:26.800
real fur baby our Anna Stewart shows us
 

00:06:26.800 --> 00:06:28.629
real fur baby our Anna Stewart shows us
how the company is using a specific type

00:06:28.629 --> 00:06:28.639
how the company is using a specific type
 

00:06:28.639 --> 00:06:30.510
how the company is using a specific type
of artificial intell Ence that allows

00:06:30.510 --> 00:06:30.520
of artificial intell Ence that allows
 

00:06:30.520 --> 00:06:34.029
of artificial intell Ence that allows
Luna to interact with the physical world

00:06:34.029 --> 00:06:34.039
Luna to interact with the physical world
 

00:06:34.039 --> 00:06:36.430
Luna to interact with the physical world
you may have seen robots that walk like

00:06:36.430 --> 00:06:36.440
you may have seen robots that walk like
 

00:06:36.440 --> 00:06:39.589
you may have seen robots that walk like
dogs but how about robots that think

00:06:39.589 --> 00:06:39.599
dogs but how about robots that think
 

00:06:39.599 --> 00:06:43.270
dogs but how about robots that think
like dogs the Swedish startup in tuell

00:06:43.270 --> 00:06:43.280
like dogs the Swedish startup in tuell
 

00:06:43.280 --> 00:06:45.670
like dogs the Swedish startup in tuell
aims to make artificial intelligence

00:06:45.670 --> 00:06:45.680
aims to make artificial intelligence
 

00:06:45.680 --> 00:06:49.029
aims to make artificial intelligence
more animall likee their robot dog Luna

00:06:49.029 --> 00:06:49.039
more animall likee their robot dog Luna
 

00:06:49.039 --> 00:06:51.029
more animall likee their robot dog Luna
is one of the first to use physical

00:06:51.029 --> 00:06:51.039
is one of the first to use physical
 

00:06:51.039 --> 00:06:54.430
is one of the first to use physical
agentic AI unlike generative AI which

00:06:54.430 --> 00:06:54.440
agentic AI unlike generative AI which
 

00:06:54.440 --> 00:06:56.309
agentic AI unlike generative AI which
essentially does pattern matching to

00:06:56.309 --> 00:06:56.319
essentially does pattern matching to
 

00:06:56.319 --> 00:06:58.950
essentially does pattern matching to
generate content or make predictions the

00:06:58.950 --> 00:06:58.960
generate content or make predictions the
 

00:06:58.960 --> 00:07:01.909
generate content or make predictions the
physical gentic AI used to create Luna

00:07:01.909 --> 00:07:01.919
physical gentic AI used to create Luna
 

00:07:01.919 --> 00:07:03.990
physical gentic AI used to create Luna
can make decisions and take action

00:07:03.990 --> 00:07:04.000
can make decisions and take action
 

00:07:04.000 --> 00:07:06.869
can make decisions and take action
towards specific goals just like humans

00:07:06.869 --> 00:07:06.879
towards specific goals just like humans
 

00:07:06.879 --> 00:07:09.189
towards specific goals just like humans
and many animals the company says this

00:07:09.189 --> 00:07:09.199
and many animals the company says this
 

00:07:09.199 --> 00:07:12.390
and many animals the company says this
means Luna can learn like a real dog

00:07:12.390 --> 00:07:12.400
means Luna can learn like a real dog
 

00:07:12.400 --> 00:07:14.469
means Luna can learn like a real dog
rather than using a generative AI model

00:07:14.469 --> 00:07:14.479
rather than using a generative AI model
 

00:07:14.479 --> 00:07:17.230
rather than using a generative AI model
and data sets to teach Luna how to walk

00:07:17.230 --> 00:07:17.240
and data sets to teach Luna how to walk
 

00:07:17.240 --> 00:07:20.670
and data sets to teach Luna how to walk
in tuell will hire a dog trainer the way

00:07:20.670 --> 00:07:20.680
in tuell will hire a dog trainer the way
 

00:07:20.680 --> 00:07:23.189
in tuell will hire a dog trainer the way
Luna learns is based on how neurons

00:07:23.189 --> 00:07:23.199
Luna learns is based on how neurons
 

00:07:23.199 --> 00:07:26.189
Luna learns is based on how neurons
interact and process information in a

00:07:26.189 --> 00:07:26.199
interact and process information in a
 

00:07:26.199 --> 00:07:29.510
interact and process information in a
sense we're not talking about today's AI

00:07:29.510 --> 00:07:29.520
sense we're not talking about today's AI
 

00:07:29.520 --> 00:07:34.110
sense we're not talking about today's AI
a versus tomorrow's AI uh I see this as

00:07:34.110 --> 00:07:34.120
a versus tomorrow's AI uh I see this as
 

00:07:34.120 --> 00:07:36.950
a versus tomorrow's AI uh I see this as
the difference between machine learning

00:07:36.950 --> 00:07:36.960
the difference between machine learning
 

00:07:36.960 --> 00:07:39.790
the difference between machine learning
and biological intelligence uh what we

00:07:39.790 --> 00:07:39.800
and biological intelligence uh what we
 

00:07:39.800 --> 00:07:42.790
and biological intelligence uh what we
want to show is that machines can have

00:07:42.790 --> 00:07:42.800
want to show is that machines can have
 

00:07:42.800 --> 00:07:46.230
want to show is that machines can have
genuine digital intelligence to learn

00:07:46.230 --> 00:07:46.240
genuine digital intelligence to learn
 

00:07:46.240 --> 00:07:49.070
genuine digital intelligence to learn
new things to solve problems that they

00:07:49.070 --> 00:07:49.080
new things to solve problems that they
 

00:07:49.080 --> 00:07:51.830
new things to solve problems that they
never seen before just like humans and

00:07:51.830 --> 00:07:51.840
never seen before just like humans and
 

00:07:51.840 --> 00:07:54.350
never seen before just like humans and
animals can luthman says their

00:07:54.350 --> 00:07:54.360
animals can luthman says their
 

00:07:54.360 --> 00:07:56.629
animals can luthman says their
breakthrough is based on more than 30

00:07:56.629 --> 00:07:56.639
breakthrough is based on more than 30
 

00:07:56.639 --> 00:07:58.830
breakthrough is based on more than 30
years of research into how the brain

00:07:58.830 --> 00:07:58.840
years of research into how the brain
 

00:07:58.840 --> 00:08:01.270
years of research into how the brain
works that the company translated into

00:08:01.270 --> 00:08:01.280
works that the company translated into
 

00:08:01.280 --> 00:08:04.070
works that the company translated into
their software he hopes that next

00:08:04.070 --> 00:08:04.080
their software he hopes that next
 

00:08:04.080 --> 00:08:06.430
their software he hopes that next
human-like robots can Venture into

00:08:06.430 --> 00:08:06.440
human-like robots can Venture into
 

00:08:06.440 --> 00:08:09.350
human-like robots can Venture into
unpredictable environments such as space

00:08:09.350 --> 00:08:09.360
unpredictable environments such as space
 

00:08:09.360 --> 00:08:12.029
unpredictable environments such as space
deep sea exploration or Disaster

00:08:12.029 --> 00:08:12.039
deep sea exploration or Disaster
 

00:08:12.039 --> 00:08:14.950
deep sea exploration or Disaster
Response one possibility is sending

00:08:14.950 --> 00:08:14.960
Response one possibility is sending
 

00:08:14.960 --> 00:08:18.430
Response one possibility is sending
intelligent robots like Luna to Mars if

00:08:18.430 --> 00:08:18.440
intelligent robots like Luna to Mars if
 

00:08:18.440 --> 00:08:21.790
intelligent robots like Luna to Mars if
you want to send a robot to Mars to

00:08:21.790 --> 00:08:21.800
you want to send a robot to Mars to
 

00:08:21.800 --> 00:08:24.430
you want to send a robot to Mars to
build habitats for future Generations

00:08:24.430 --> 00:08:24.440
build habitats for future Generations
 

00:08:24.440 --> 00:08:28.390
build habitats for future Generations
you can't do it with pre-trained models

00:08:28.390 --> 00:08:28.400
you can't do it with pre-trained models
 

00:08:28.400 --> 00:08:31.309
you can't do it with pre-trained models
it's impossible to to train them on

00:08:31.309 --> 00:08:31.319
it's impossible to to train them on
 

00:08:31.319 --> 00:08:33.550
it's impossible to to train them on
everything that might happen when while

00:08:33.550 --> 00:08:33.560
everything that might happen when while
 

00:08:33.560 --> 00:08:35.709
everything that might happen when while
they're there they need to be able to

00:08:35.709 --> 00:08:35.719
they're there they need to be able to
 

00:08:35.719 --> 00:08:38.670
they're there they need to be able to
figure things out and to experiment on

00:08:38.670 --> 00:08:38.680
figure things out and to experiment on
 

00:08:38.680 --> 00:08:42.070
figure things out and to experiment on
that in that environment so this is the

00:08:42.070 --> 00:08:42.080
that in that environment so this is the
 

00:08:42.080 --> 00:08:44.990
that in that environment so this is the
technology that will allow any agent to

00:08:44.990 --> 00:08:45.000
technology that will allow any agent to
 

00:08:45.000 --> 00:08:47.910
technology that will allow any agent to
do such exploration Luna has now learned

00:08:47.910 --> 00:08:47.920
do such exploration Luna has now learned
 

00:08:47.920 --> 00:08:51.670
do such exploration Luna has now learned
to stand on its feet inl says the robot

00:08:51.670 --> 00:08:51.680
to stand on its feet inl says the robot
 

00:08:51.680 --> 00:08:54.670
to stand on its feet inl says the robot
dog is able to perceive process and

00:08:54.670 --> 00:08:54.680
dog is able to perceive process and
 

00:08:54.680 --> 00:08:58.630
dog is able to perceive process and
improve by interacting with the world AI

00:08:58.630 --> 00:08:58.640
improve by interacting with the world AI
 

00:08:58.640 --> 00:09:00.750
improve by interacting with the world AI
dog trainer could be a pretty cool job

00:09:00.750 --> 00:09:00.760
dog trainer could be a pretty cool job
 

00:09:00.760 --> 00:09:02.949
dog trainer could be a pretty cool job
and as a pet no cleanup no expensive dog

00:09:02.949 --> 00:09:02.959
and as a pet no cleanup no expensive dog
 

00:09:02.959 --> 00:09:05.389
and as a pet no cleanup no expensive dog
food what say you would you ever get a

00:09:05.389 --> 00:09:05.399
food what say you would you ever get a
 

00:09:05.399 --> 00:09:07.030
food what say you would you ever get a
robotic dog or would you rather stick

00:09:07.030 --> 00:09:07.040
robotic dog or would you rather stick
 

00:09:07.040 --> 00:09:08.949
robotic dog or would you rather stick
with the real thing all right we are

00:09:08.949 --> 00:09:08.959
with the real thing all right we are
 

00:09:08.959 --> 00:09:10.310
with the real thing all right we are
almost out of time for the day but

00:09:10.310 --> 00:09:10.320
almost out of time for the day but
 

00:09:10.320 --> 00:09:11.750
almost out of time for the day but
before we go we want to give a special

00:09:11.750 --> 00:09:11.760
before we go we want to give a special
 

00:09:11.760 --> 00:09:14.150
before we go we want to give a special
shout out to the Raiders of Black

00:09:14.150 --> 00:09:14.160
shout out to the Raiders of Black
 

00:09:14.160 --> 00:09:16.030
shout out to the Raiders of Black
Mountain Middle School in San Diego

00:09:16.030 --> 00:09:16.040
Mountain Middle School in San Diego
 

00:09:16.040 --> 00:09:17.990
Mountain Middle School in San Diego
California rise up thank you for making

00:09:17.990 --> 00:09:18.000
California rise up thank you for making
 

00:09:18.000 --> 00:09:19.590
California rise up thank you for making
us part of your day and thanks to all of

00:09:19.590 --> 00:09:19.600
us part of your day and thanks to all of
 

00:09:19.600 --> 00:09:21.150
us part of your day and thanks to all of
you who've been subscribing and

00:09:21.150 --> 00:09:21.160
you who've been subscribing and
 

00:09:21.160 --> 00:09:22.949
you who've been subscribing and
commenting on our cnn10 YouTube channel

00:09:22.949 --> 00:09:22.959
commenting on our cnn10 YouTube channel
 

00:09:22.959 --> 00:09:24.509
commenting on our cnn10 YouTube channel
for your shout out request we're almost

00:09:24.509 --> 00:09:24.519
for your shout out request we're almost
 

00:09:24.519 --> 00:09:27.590
for your shout out request we're almost
at 1 million subscribers let's go I'm Ki

00:09:27.590 --> 00:09:27.600
at 1 million subscribers let's go I'm Ki
 

00:09:27.600 --> 00:09:31.360
at 1 million subscribers let's go I'm Ki
wire we are CNN 10


