00:00:00
arous robot is the most sophisticated
00:00:03
human robot in the world you know we're
00:00:05
aiming to have several thousand of those
00:00:07
built this year we we'll we'll 10x that
00:00:10
that output next year maybe 50 to
00:00:12
100,000 human right robots and then 10x
00:00:14
at again the following year that the
00:00:17
cumulative sum of human knowledge has
00:00:19
been exhausted in AI draining that
00:00:21
happened basically last last year pretty
00:00:23
much any cognitive task that doesn't
00:00:25
involve atoms AI will be able to do
00:00:28
within 3 or 4 years the FBI had this
00:00:30
portal into Twitter where they could spy
00:00:33
on anything and and censor anything and
00:00:36
had a two-e auto delete so we don't even
00:00:38
know what they did if I might start off
00:00:40
with kind of a a big overall question
00:00:42
and I'll do some questions and then
00:00:44
we'll get some questions in uh from the
00:00:46
group you know I have to say that I've
00:00:49
been actually a Tesla owner for many
00:00:51
years sounds great thank you you're
00:00:54
clearly someone of Great Taste
00:00:57
and well I I will say that I from Miami
00:01:00
to Fort Florida Bale meet my brother for
00:01:02
dinner about 40 miles and I did not
00:01:05
touch oh well I touched the wheel let me
00:01:07
tell you that
00:01:07
[Laughter]
00:01:11
the the card drove itself and it you did
00:01:14
not need to intervene it it did not need
00:01:18
me for this entire ride yeah it's pretty
00:01:21
magical it's like when you tell people
00:01:23
that they've not experienced it they
00:01:25
they don't don't believe you you know
00:01:27
yes I didn't believe me either yeah
00:01:30
because I've been a skeptic about how
00:01:32
far it would go and your latest releases
00:01:35
of software are are you know really
00:01:38
incredible thank you to try them uh as a
00:01:41
big question coming in the next decade
00:01:45
what do you think is going to be the the
00:01:47
greatest advances in technology that
00:01:48
will affect people's lives what should
00:01:50
they be expecting to see here from
00:01:53
technology in their lives well I don't
00:01:56
want to blow your minds but AI is going
00:01:58
to be big
00:02:02
feel I feel confident that prediction
00:02:04
well you know the funny thing is if you
00:02:06
go back even five years ago uh certainly
00:02:10
10 years ago even 15 years ago I was I
00:02:12
was saying GNA be this massive thing
00:02:15
that has deep super intelligence smarter
00:02:18
than the smartest human people thought I
00:02:21
was kidding there's no way a computer's
00:02:23
going to be smarter than human and do
00:02:25
all these complicated things and now the
00:02:27
latest AI are able to pass complicated
00:02:31
tests better than most humans they can
00:02:33
pass the medical tests better than 80%
00:02:35
of doctors or something they can
00:02:37
diagnose uh radiography better than most
00:02:40
people who've been doing it their whole
00:02:42
life um so so that's just accelerating
00:02:46
obviously I I think if you haven't seen
00:02:48
Jensen's talk it's it's excellent it
00:02:51
really shows how much AI is advancing um
00:02:55
and it's advancing on the the hardware
00:02:56
front on the software front uh in terms
00:02:59
of data this like the the new sort of
00:03:02
thing is synthetic data because we've
00:03:04
actually run out of all the books and
00:03:07
literally run out of you take the entire
00:03:09
internet and all books ever written um
00:03:13
and all interesting videos and you've
00:03:15
now exhausted all of the basically the
00:03:20
cumulative sum of human knowledge has
00:03:22
been exhausted in AI
00:03:24
draining that happened basically last
00:03:26
last year and so the only way to then
00:03:28
suff from a bad is with synthetic data
00:03:31
where the AI creates it'll sort of write
00:03:33
an essay or will come up with with a
00:03:35
thesis and then and then it will grade
00:03:37
itself and sort of go through this
00:03:39
process of self-learning with synthetic
00:03:41
data which is always challenging because
00:03:44
how do you know huc hallucinated the
00:03:46
answer or it's a real answer so it's
00:03:49
challenging to find the ground truth but
00:03:51
it is pretty wild that AI at this point
00:03:53
has run out of all human knowledge to
00:03:56
train
00:03:58
on crazy I I know that you're building
00:04:01
for for GR the largest AI Center uh on
00:04:05
the planet we already have yeah it's an
00:04:09
operation Microsoft is planning 80
00:04:11
billion dollars where where I used to
00:04:13
for a while uh but that's a lot of money
00:04:15
by anyone standards I I did a poll and
00:04:18
we asked does AI make a difference in
00:04:20
your life today 133% said yes and they
00:04:23
said in five years from now will AI make
00:04:25
a difference in your life
00:04:26
87% expect in five years it will make a
00:04:29
difference
00:04:30
what is it going to do for people is it
00:04:32
going to put work or to
00:04:34
work will do anything you want and even
00:04:36
suggest things you never even thought
00:04:39
of so AI really within the next few
00:04:42
years be able to do any cognitive task
00:04:45
it obviously begs the question what what
00:04:46
are we all going to do pretty much any
00:04:48
cognitive task that doesn't involve
00:04:50
atoms AI will be able to do then I'd say
00:04:54
Max three or four years maximum and and
00:04:58
and then now another element of it is
00:05:01
the robotics AI can't just be thinking
00:05:04
in it in a in a data center it's got to
00:05:06
do do things that's where you need the
00:05:08
robots so and you need you know
00:05:11
self-driving cars which OB you've
00:05:13
experienced and that that rate of
00:05:15
improvement is is exponential in in how
00:05:17
good the self-driving cars are you know
00:05:19
we feel confident in passing the
00:05:22
basically being better than human
00:05:24
driving in about three months basically
00:05:28
Q2 of this year feel confident of
00:05:31
passing having a probability of of
00:05:34
accident that is better than the the
00:05:35
average experienced driver and then
00:05:38
it'll keep going from there ultimately I
00:05:41
think it's going to be 10 times safer
00:05:43
than a human driver and then a 100 times
00:05:45
safer like it's to to the point where
00:05:48
really it just won't crash so that's
00:05:51
happening this year with Tesla to Tesla
00:05:53
and this is a software update to a car
00:05:56
as you've experienced yourself it's the
00:05:58
same car it got aof software update and
00:06:00
suddenly it's way smarter at
00:06:02
driving well let me try a few timelines
00:06:05
then because I'm not the youngest guy
00:06:06
around I
00:06:08
want techology my standards for what is
00:06:11
Young get older every year as I get
00:06:13
older I used to build computers and kits
00:06:16
right when when you didn't couldn't buy
00:06:17
them yet and I don't have to do that
00:06:19
anymore so self-driving some timeline
00:06:22
self-driving cars certified government
00:06:25
certified self driv you think will be
00:06:27
within a year well I mean there there
00:06:30
already are autonomous you know in in
00:06:32
some regions like weo has autonomous
00:06:35
vehicles with no one in it but they're
00:06:37
limited to like a few cities in the US
00:06:40
the Tesla solution which is a much more
00:06:43
difficult path to go but ultimately much
00:06:44
more powerful is is a general solution
00:06:47
to self-driving so the Tesla software is
00:06:50
just purely Ai and vision doesn't rely
00:06:52
on any expensive sensors no light offs
00:06:54
no Radars or it doesn't even require
00:06:56
knowing the area of your
00:06:58
forehead like you could have it drive
00:07:00
some place has never been before and no
00:07:01
Tes has ever been before it could even
00:07:03
be an alien planet I mean and the car
00:07:05
will still work still drive that's this
00:07:08
year you know when can I get a home
00:07:10
robot well that's the other element
00:07:12
humanoid robots I think probably most
00:07:16
people if not everyone would like to
00:07:18
have their own personal C3PO
00:07:22
R2-D2 and and and I I actually think
00:07:24
humanoid D us will be the biggest
00:07:26
product ever in history by far I agree
00:07:29
uh yeah it's just it's just wild because
00:07:31
you can just say well every human is
00:07:33
going to want one most likely when and
00:07:36
then there'll be all of industry in
00:07:38
terms of making providing products and
00:07:40
services so that you have say what's the
00:07:42
ratio of humanid robot to humans my
00:07:45
guess is it's least at least three to
00:07:46
one four to one maybe five to one so
00:07:49
we're talking about 20 30 billion
00:07:51
humanoid
00:07:54
robots you know
00:07:56
the it's not even clear what money means
00:07:58
at that point or
00:08:00
if there's any meaningful cap on the
00:08:02
economy um I think at that point
00:08:05
assuming that things haven't gone uh
00:08:07
arai you know um in the in the good AI
00:08:10
scenario uh I think we will have we
00:08:12
won't have Universal basic income we'll
00:08:14
have Universal High
00:08:16
income so do you think five years for my
00:08:19
first robot well for for Tesla Optimus
00:08:22
robot really is unless somebody's got
00:08:23
something secet we don't know about the
00:08:26
Optimus robot is the most sophisticated
00:08:29
human or what in the world it's got a
00:08:31
hand that has 22 degrees of freedom it
00:08:33
looks and feels like a human hand
00:08:36
um and uh you know we're aiming to have
00:08:40
several thousand of those built this
00:08:41
year initially we'll we we'll test them
00:08:43
out in at Tesla factories but then
00:08:46
assuming things go well we we'll we'll
00:08:49
10x that output next year so we'll aim
00:08:51
to do maybe 50 to 100,000 human R robots
00:08:54
next year and then 10x at a gain the
00:08:57
following year so like five 100,000
00:09:00
robots in three
00:09:01
years that's a lot
00:09:05
yeah we should think of this in terms of
00:09:07
Roman Legions how many Legions of robots
00:09:10
short will we have like a Roman legion
00:09:12
is
00:09:14
5,000 when will we have a colony on
00:09:17
Mars
00:09:19
well I think we we'll be able to send
00:09:21
the first uncr spacecraft to m in two
00:09:25
years so Earth and M synchronize every
00:09:28
two years
00:09:30
and so we're we're at a synchronous
00:09:31
point right now so then the next one
00:09:33
will be roughly two years from now and
00:09:35
then there'll be two years from then
00:09:37
there'll be another one so for the first
00:09:39
trip obviously we want to make sure that
00:09:40
we we can land Starship without uh
00:09:43
crashing like we we we need to prove
00:09:46
that we can land Starship on Mars
00:09:47
without incrementing the crater c um and
00:09:51
and if those uh land safely then um
00:09:54
maybe on the next trip we would uh send
00:09:56
people and then hopefully that would
00:09:58
grow exponentially
00:09:59
So eventually there'll be thousands of
00:10:02
Starships going to Mars and and I might
00:10:05
have this like really cool visual like
00:10:06
battle elaco or something Colony ships
00:10:09
departing all together with these like
00:10:12
briag points of light in space I think
00:10:14
it look really cool but I think the goal
00:10:16
has to be to get to the point where Mars
00:10:18
is self-sustaining the point which Mars
00:10:20
is self-sustaining is really defined as
00:10:24
point at which if the resupply shifts
00:10:25
from stop coming for any reason that
00:10:28
Mars doesn't die out that Ms can
00:10:29
continue to grow so if there's something
00:10:32
that happens on earth like let say
00:10:33
there's a World War III or some natural
00:10:34
disaster or who knows what but for
00:10:37
whatever reason this the resupply ships
00:10:39
stopped coming if Ms can still continue
00:10:42
to survive then the probable lifespan of
00:10:44
civilization is dramatically
00:10:46
greater so if if you sort of stand back
00:10:49
and say how would you evaluate any
00:10:50
civilization you'd say like well is that
00:10:53
Civilization still stuck on its own
00:10:54
planet or are they a multiplet
00:10:57
civilization and we don't want to be one
00:10:59
of those lame wor Planet civilizations
00:11:01
we're have a respectable outcome here
00:11:04
even if we don't make it beyond our
00:11:05
solar system we're at least got to get
00:11:07
to another planet yeah and and finally
00:11:10
on my list brain technology
00:11:12
communication am I gonna see that also
00:11:15
because right now this is going be
00:11:16
pretty good for
00:11:17
me yeah so we've got neuralink we've got
00:11:21
now three humans with neural links imp
00:11:23
planet and they all working well um and
00:11:27
we've upgraded devices that that will
00:11:29
have more electrodes basically higher
00:11:31
bandwidth longer battery life and
00:11:32
everything and so we expect to hopefully
00:11:36
do I know 20 or 30 patients this year
00:11:40
with the upgraded neuralink devices and
00:11:43
this our first product is were're trying
00:11:45
to enable people who have lost their
00:11:47
brain Body Connection so they're tetr
00:11:49
fgic or paraplegic or um it basically
00:11:53
like can imagine like say Stephen
00:11:54
Hawking if Stephen Hawking could
00:11:56
communicate as fast or even faster than
00:11:58
a normal human that would be
00:12:00
transformational yeah so that that's how
00:12:02
our first product is is being able to
00:12:05
read the the motor cortex of the brain
00:12:07
and say that if you think about moving
00:12:09
your hand it will move the cursor on the
00:12:12
screen and it enables enables people to
00:12:15
control their computer or their phone
00:12:16
just by thinking and then our next part
00:12:20
will be blind sights that even if
00:12:21
somebody has lost both eyes or has lost
00:12:23
the optic nerve or if they've never
00:12:26
they've been blind from birth uh we can
00:12:28
interface directly with the visual
00:12:30
cortex in the brain um and enable them
00:12:32
to
00:12:33
see and we already have that working in
00:12:35
monkeys enabling people
00:12:37
to control devices and ultimately we
00:12:41
think if you have a second neuralink
00:12:42
device that is past the point where the
00:12:45
spinal damage occurred we can actually
00:12:48
transmit the signals from the brain past
00:12:50
where the wires are broken and enabled
00:12:52
someone to walk
00:12:53
gain so that would really be profound
00:12:56
obviously but I'm confident that that is
00:12:58
physically possible
00:13:00
and but and then the long-term goal for
00:13:03
neur link is to be able to improve the
00:13:05
bandwidth so right right now when when
00:13:07
we're speaking our bandwidth in bits per
00:13:09
second is quite low and the sustained
00:13:11
bandwidth of a human is less than one
00:13:13
bit per second over 24-hour period so
00:13:17
there's 86,400 seconds in a day and the
00:13:20
average human put outputs much less than
00:13:22
86,400 beds in a day um if if if
00:13:26
someone's a riter they might they'll
00:13:27
exceed that but most people do you're
00:13:29
not output more than um the number of
00:13:31
seconds in the
00:13:32
day but with with a neural link you you
00:13:35
could uh increase that Alo capability by
00:13:39
a thousand or maybe a million um so it
00:13:42
would be profoundly different experience
00:13:45
like you'd be super humous ashle well
00:13:48
put put me down for all of this so
00:13:50
far early adapter yeah and and trust me
00:13:54
you really you'll really like the chip I
00:13:56
can guarantee
00:13:57
it and let me kind of bring us down to
00:14:00
earth for for question on on do me I I
00:14:04
worked very closely actually with
00:14:05
President Clinton in the 90s where we
00:14:08
did have Reinventing government we did
00:14:10
balance the budget in two years actually
00:14:12
that's
00:14:14
awesome well been a while it didn't last
00:14:17
very long because it got blown up very
00:14:20
quickly uh have you identified Some Cuts
00:14:23
that you're really that you're really
00:14:24
looking at that you think would be
00:14:25
successful do you think two trillion is
00:14:27
is a realistic number now that you're
00:14:29
looking more closely at it yeah
00:14:34
well I think I think we we'll we'll try
00:14:37
for two trillion I I think that's like
00:14:39
the best case outcome but I do think
00:14:41
that you kind of have to have some
00:14:43
overage I think if we try for two
00:14:44
trillion we we've got a good shot at
00:14:46
getting one if we can get drop the
00:14:48
budget deficit from two trillion to one
00:14:50
trillion and free up the economy to have
00:14:53
additional growth such that the output
00:14:56
of goods and services keeps Pace with
00:14:58
the increase in the money supply then
00:15:00
there will be no
00:15:02
inflation right so that I think would be
00:15:05
an epic outcome and in ter of saving
00:15:07
money in the government it's a very
00:15:08
target-rich environment for saving money
00:15:10
like if you if you look at any direction
00:15:12
it's like people like where will you
00:15:13
find places to save money it's like
00:15:15
being in a room full of targets and you
00:15:16
can't
00:15:18
miss there's just a lot of waste in
00:15:20
government especially the federal
00:15:21
government where the the checks have a
00:15:23
bounce like they've got the infinite
00:15:24
money computer the people that spend the
00:15:26
money are not the people it's not their
00:15:28
money it's hard for people to care about
00:15:30
spending someone else's money I still
00:15:32
know people in the government who do
00:15:33
care about spending money effectively
00:15:35
and they try to do so and they can't the
00:15:38
system prevents them from doing so and
00:15:40
they even get told to do crazy things as
00:15:42
as you guys probably sounds familiar
00:15:44
where you get towards the end of the
00:15:45
budget cycle and and they're told to
00:15:47
spend up to their budget and and even on
00:15:51
on nonsense stuff because if they don't
00:15:52
spend their budget the budget gets
00:15:54
reduced so it's actually sort of sort of
00:15:57
a reverse incentive to waste money and
00:16:01
then they kind of get punished for not
00:16:02
wasting money so it's totally
00:16:04
bananas well well I agree I did a
00:16:07
mathematical analysis in terms of how
00:16:09
government used to do things so if you
00:16:11
take the Brooklyn Bridge or the Lincoln
00:16:13
tunnle and you yeah reflation the INF
00:16:16
infrastructure bill should actually get
00:16:18
you 4,000 adjusted breaked uh Lincoln
00:16:21
tunnels which of course yeah of course
00:16:24
it's not because government is not asent
00:16:26
as east of you no exctly essentially
00:16:30
that we've got had an accumulation of
00:16:32
laws and regulations that make basically
00:16:35
any large project essentially
00:16:38
illegal even if you've tried to you
00:16:40
better satisfi you better spend way more
00:16:42
money on the paperwork than on the thing
00:16:44
itself so and and then gets delayed
00:16:47
there's an element of like do which is
00:16:49
very important which is looking at
00:16:51
regulations and getting rid of ones
00:16:53
where the the harm is worse than the
00:16:56
good like you said any given regulation
00:16:57
SE there's some a good some amount of
00:16:59
home but you know what's that ratio is
00:17:02
it like you know and there's a lot of
00:17:04
regulations where frankly there
00:17:05
completely
00:17:07
nonsensical and uh we want to get rid of
00:17:09
nonsense cor regulations that do not
00:17:10
serve the public good well Linda Yaro in
00:17:13
her keino here mentioned the Doge thing
00:17:15
and she got enormous Applause so I think
00:17:18
the country is really waiting to see
00:17:20
this effort they're they're behind it
00:17:22
they're optimistic let me try to get in
00:17:25
one more topic here before I get one or
00:17:27
two other questions out there would you
00:17:28
is obviously Mark zberg made it amazing
00:17:33
100 80 degree turn that's
00:17:37
cool what's your reaction to what he did
00:17:39
and and his acknowledgement frankly that
00:17:41
the government was in fact censoring
00:17:44
things or he was censoring things or the
00:17:46
government or some combination thereof
00:17:49
yeah I mean there's no question I mean
00:17:50
1,00% the government was censoring
00:17:53
things we know that for a fact from the
00:17:54
Twitter files some of the stuff was
00:17:56
pretty illegal frankly the FBI had this
00:17:58
portal into to Twitter where they could
00:18:00
spy on anything and censor anything and
00:18:03
had a two-e auto delete so we don't even
00:18:05
know what they
00:18:06
did except that they had immense power
00:18:09
to do whatever they wanted which doesn't
00:18:10
sound legal that sounds pretty crazy
00:18:12
there was also a lot of self-censoring
00:18:14
there was just a lot of censoring going
00:18:15
on I feel very strongly that you have to
00:18:18
have freedom of speech to have a
00:18:20
functioning democracy if you don't have
00:18:23
freedom of speech freedom of expression
00:18:25
then how do you know what's really going
00:18:27
on and if you make an informed vote then
00:18:30
you don't have real democracy that's
00:18:32
incredibly important to listen to the
00:18:34
wisdom of the founders of the country
00:18:36
and say why did they make that the First
00:18:37
Amendment but they did it for a reason
00:18:39
because they came from places that that
00:18:41
were where there was massive censorship
00:18:43
and the penalties for speaking your mind
00:18:46
would be fines imprisonment or death and
00:18:48
they're like we really don't like that
00:18:50
we want that to not be the case in Raa
00:18:53
so then they you know freedom of speech
00:18:56
so you just posted you are
00:18:59
media citizen journalism I mean really
00:19:03
becoming more and more important been
00:19:05
the say the media and you see it with
00:19:07
the wildfires here yeah exactly it
00:19:09
really takes the citizens to to report
00:19:12
and tell
00:19:13
people yeah actually you think of it
00:19:16
like before the internet you kind of had
00:19:17
to have the what I call Legacy Media you
00:19:20
had to have some aggregation points
00:19:22
where you know You' have reporters going
00:19:25
go and find things out then they would
00:19:26
go to their office they would write up
00:19:28
articles there would then print those
00:19:31
articles on paper that paper would then
00:19:33
be distributed and it was kind of the
00:19:35
only way to know what was going on but
00:19:36
it was very slow especially in the old
00:19:38
days you know I think when like when
00:19:41
when linoln Lincoln was assassinated I
00:19:43
think it took like three weeks for the
00:19:46
that new to reach Asia or something like
00:19:48
that you know and in fact in the old
00:19:50
days like you wouldn't even know that
00:19:51
your country had gone to war because it
00:19:54
would take like a month for the fact hey
00:19:56
we're at War to reach your village
00:19:59
yes well we learned about Carell Harbor
00:20:02
because we decoded the Japanese didn't
00:20:05
know that we decoded their
00:20:07
their their cyber Cisco right I me
00:20:10
that's how we actually learned about
00:20:12
about it okay thank you I I I got three
00:20:16
questions in from the audience that Dan
00:20:18
Gardner and Toby Daniels zon discourse
00:20:20
head want to know do you think the
00:20:22
internet sucks and what do you think we
00:20:24
need to do fix it you mean the content
00:20:26
on the Internet or or your internet con
00:20:29
because starlink can help you on
00:20:30
internet connection starlink is great
00:20:32
for internet connectivity especially for
00:20:34
places that that have bad connectivity
00:20:36
in fact I think starink is really having
00:20:37
a significant effect in terms of uh
00:20:39
lifting people out of poverty in in many
00:20:41
parts of the world where people have a
00:20:44
product that they want to sell but if
00:20:45
they don't have an internet connection
00:20:47
they they can't do it and or or if they
00:20:49
want to learn things like basically you
00:20:51
can learn anything on the internet for
00:20:53
free like MIT has all these lectures
00:20:55
that available free on the internet
00:20:57
internet internet connection so once you
00:20:58
have an internet connection you you've
00:21:00
got access to education you've got
00:21:01
access to a glob Market um so I think
00:21:04
it's it's very significant how
00:21:06
connectivity makes difference in
00:21:08
people's lives but know with with
00:21:10
respect to maybe the question was geed
00:21:12
at like is there too much negativity on
00:21:13
the internet I think at times there is
00:21:15
too much negativity you know actually on
00:21:17
on the xplatform I before like well
00:21:19
we're going to twak the algorithm to be
00:21:22
a bit more positive and then people got
00:21:23
upset about me for that I'm like I'm
00:21:26
like okay like what do you guys want you
00:21:28
know uh well well actually the second
00:21:31
question from Z poet the CI vickory was
00:21:34
how do you make pessimism uncool again
00:21:37
so I think it's that maybe exactly what
00:21:40
you're saying it is that you know it be
00:21:43
it's it's become people people are
00:21:45
afraid you know this used to be a can do
00:21:46
Nation always very positive and now now
00:21:50
the country when I ask you if we on the
00:21:51
right track or the wrong track they
00:21:52
never say that we're on the right track
00:21:54
anymore hopefully with this you
00:21:57
know I'm actually pretty optimistic
00:21:59
about next four or five years I think
00:22:01
we're actually going to I think we have
00:22:02
the potential for a golden age so we
00:22:06
need to it's very important to get rid
00:22:07
of the Mountain of regulations that are
00:22:10
holding things back and I don't mean
00:22:12
there's some good regulations but
00:22:13
there's just so much that we just can't
00:22:15
get anything done I mean you take sort
00:22:16
of the California wildfires for example
00:22:19
you we really need to have fire brakes
00:22:21
and we need to clear the brush back away
00:22:23
from houses and we need to make sure the
00:22:25
reservoirs are full these are all kind
00:22:27
of obvious things but but due to a bunch
00:22:29
of environmental rulings you can't
00:22:31
actually do that in California so
00:22:33
they're not allowed to do the five Brees
00:22:34
and they're not allowed to push the the
00:22:35
brush back away from houses because it
00:22:38
might hurt some red-legged frog or
00:22:41
something like that you know there like
00:22:42
some sort of creature that usually a
00:22:44
creature you've never heard of that is
00:22:45
preventing this from occurring you know
00:22:48
this this there's like this fish called
00:22:49
the smelt for example and so there so we
00:22:52
have far more fresh water run off into
00:22:54
the ocean than we should really and on
00:22:57
the theory that if helps this one little
00:22:59
fish that likes a slightly Briny
00:23:02
freshwater salt water mix and if we keep
00:23:05
more fresh water then the Smelt fish
00:23:09
will will not be happy but there's no
00:23:11
actual evidence that that the Smelt fish
00:23:13
is going to be unhappy if we we keep a
00:23:16
bit more fresh water in fact so we
00:23:18
should keep more fresh water keep the
00:23:20
reservoirs full and and and just have
00:23:22
some sensible fire brakes and move the
00:23:24
brush away from houses that's just an
00:23:26
example like we saved a lot of trouble
00:23:29
you a lot of tragedy in La I think Ai
00:23:33
and Robotics is going to lead to a
00:23:35
higher standard of living for for people
00:23:37
beyond what they can imagine I think
00:23:39
have ai doctors and medicine that are
00:23:41
pretty incredible so that's the F the
00:23:44
final question she says from from
00:23:47
Katherine heritage heritage like got
00:23:50
that right if all the robots and
00:23:52
everything freeze up time for humans
00:23:55
what is it they will do with that time
00:23:57
or what do we ask them to do with that
00:23:59
time I think that's a yes rounds out the
00:24:03
circle
00:24:05
technology yeah I guess it would be a
00:24:07
bit like being retired I mean will take
00:24:09
a few years but at some point as Ai and
00:24:12
Robotics get better eventually AI will
00:24:14
be able to do everything that humans can
00:24:15
do so any task you do will be optional
00:24:18
like it'll be like a hobby or you know
00:24:23
so now it is big question like will this
00:24:26
will our live lives have meaning if if
00:24:28
the computers and the robots can do
00:24:31
everything better than we can
00:24:34
and that is that is a real question I I
00:24:37
I do wonder about that myself and that's
00:24:39
maybe that's why we need the neural link
00:24:40
so we can enhance human capability so we
00:24:43
keep up with
00:24:45
the yeah well I I just want to thank you
00:24:48
for well it's obviously incredibly
00:24:51
optimistic view about technology and
00:24:53
where it's going uh I I feel reassured
00:24:57
that that the kind of leaps that that
00:24:59
are got to be made particular which
00:25:01
working on are are just incredible in
00:25:03
the next few years not not decades away
00:25:06
but right really very close talked in
00:25:08
terms of years consistently and very
00:25:11
thankful for that and I think that
00:25:13
that's you know absolutely tremendous
00:25:16
message here at the you know where we
00:25:18
are in Las Vegas kind of study what
00:25:20
technology is going to be
00:25:22
available and really again thank you for
00:25:25
the tremendous role in up free speech
00:25:27
role that that X and you know Lind is
00:25:30
playing in terms of that I know that
00:25:31
we're we're working to get full
00:25:34
recognition by everyone we're the
00:25:36
platform as it should be because free
00:25:38
speech is I think the proper way to go
00:25:41
yeah I think an unbalance is good and
00:25:44
and you know one of the things I try to
00:25:46
create conceptually with VX platform is
00:25:47
like it it's like a global Consciousness
00:25:50
it's like Collective conscious
00:25:51
consciousness of of humanity now if you
00:25:53
have a collective consciousness of
00:25:54
humanity well you're going to get every
00:25:56
aspect of humanity good and bad
00:25:59
that's just naturally what happens but I
00:26:01
do want it to be a good and productive
00:26:03
thing you know have the aspiration is to
00:26:06
maximize
00:26:16
unregrettably always say that everything
00:26:18
in technology was either in the jet s St
00:26:21
Trek right and but the one thing that
00:26:24
was never predicted in any book that I
00:26:26
could find is social media so it's the
00:26:29
one thing that they really it's no book
00:26:32
built around how social media would
00:26:34
develop how it would really impact
00:26:37
Society move potic me to it's
00:26:40
interesting that everybody missed that
00:26:42
in their in their projections and so I
00:26:44
guess the the last closest closing
00:26:46
question maybe is is where do you want X
00:26:48
to be and where is that backl going to
00:26:50
go and yeah
00:26:54
well I mean I do want X be for for good
00:27:02
that
00:27:05
um so I do want to X be a force be good
00:27:08
and and I do you as sort of like the
00:27:10
group mind of humanity and you want to
00:27:12
have a sort of a healthy happy insane
00:27:15
group mind versus the
00:27:17
opposite and I wanted to be just like
00:27:20
the best source of Truth like if you're
00:27:21
trying to understand what's going on in
00:27:23
the world that it has the most most
00:27:25
accurate the most upto-date
00:27:28
information about anything large or
00:27:30
small so it it gives you the best
00:27:33
understanding of of what's going on in
00:27:34
the world anywhere anytime yeah great
00:27:38
thank you any closing thought you want
00:27:39
to leave us with otherwise I remember
00:27:41
thank you ofus with your half you're
00:27:44
welcome I I think um I would encourage
00:27:46
people to be optimistic about the future
00:27:48
I think it is much more likely to be
00:27:50
good than
00:27:51
bad so that's my
00:27:53
prediction thank you
00:27:57
[Applause]
00:28:04
all right thanks guys
