1
00:00:00,080 --> 00:00:05,197
We need to make sure that we nail AI
and we really have a fixed window over the

2
00:00:05,280 --> 00:00:08,437
next few years to make sure
that America stays ahead.

3
00:00:08,520 --> 00:00:10,540
[music]

4
00:00:12,320 --> 00:00:14,637
>> Alex Wang is the
28-year-old founder and

5
00:00:14,720 --> 00:00:19,277
CEO of Scale AI, a data annotation
platform that provides training data for

6
00:00:19,360 --> 00:00:22,637
machine learning models.
You think we should prioritize

7
00:00:22,720 --> 00:00:26,957
leadership more than safety? Why do you
feel that way? And why do you think that

8
00:00:27,040 --> 00:00:30,877
actually putting safety first
could potentially endanger us?

9
00:00:30,960 --> 00:00:32,397
>> How does the Chinese Communist Party

10
00:00:32,480 --> 00:00:36,077
talk about AI? Going back to 2017, 2018,

11
00:00:36,160 --> 00:00:40,637
they enacted a kind of a whole
of government approach to leading an AI,

12
00:00:40,720 --> 00:00:42,877
sort of an AI master plan, if you will.

13
00:00:42,960 --> 00:00:47,757
And what they talk about is they want
to be the leader in AI by the year 2030.

14
00:00:47,840 --> 00:00:51,277
and they have an approach that
integrates their economy, their

15
00:00:51,360 --> 00:00:55,597
government, and every part of the
Chinese society to ensure that they're

16
00:00:55,680 --> 00:01:00,077
able to come out ahead. If you look
at AI performance today, we always like to

17
00:01:00,160 --> 00:01:02,397
break down AI into its three core

18
00:01:02,480 --> 00:01:05,277
elements. Compute, algorithms, and data.

19
00:01:05,360 --> 00:01:07,997
On compute, America is still ahead.

20
00:01:08,080 --> 00:01:11,517
Algorithms were now basically neck
andneck. DeepSeek basically proved that

21
00:01:11,600 --> 00:01:16,077
that they are just right on par with us
on algorithms. And if you look at data,

22
00:01:16,160 --> 00:01:18,957
China is actually way ahead of the
United States. And part of this is

23
00:01:19,040 --> 00:01:23,757
because they instituted all these
programs to win on data over the past

24
00:01:23,840 --> 00:01:28,477
decade, starting with when they put
together their uh global AI surveillance

25
00:01:28,560 --> 00:01:32,397
systems. You know, the United States
needs to have a strategy for data

26
00:01:32,480 --> 00:01:36,077
dominance. And we need to make sure
that we have a approach both in the public

27
00:01:36,160 --> 00:01:39,037
sector and the private sector
to ensure that we win on data.

28
00:01:39,120 --> 00:01:41,997
>> What keeps you up at night? What is
the worst case scenario? Is it going to be

29
00:01:42,080 --> 00:01:44,797
an extinction event like
some people have warned?

30
00:01:44,880 --> 00:01:47,837
>> I think before we get to those kinds of

31
00:01:47,920 --> 00:01:52,557
scenarios of a human extinction event,
there's there's very real things that

32
00:01:52,640 --> 00:01:56,637
I'm concerned about. One of the things
I'm really concerned about is if China

33
00:01:56,720 --> 00:01:59,277
races ahead on AI and let's say they

34
00:01:59,360 --> 00:02:01,997
start applying AI to their military and

35
00:02:02,080 --> 00:02:06,717
their cyber operations more effectively
than uh we do in the United States, then

36
00:02:06,800 --> 00:02:09,597
we're in for a really bad time.
You know, they'll be able to hack into all

37
00:02:09,680 --> 00:02:12,957
of our systems. They'll be able to hack
into our energy grid and shut it off.

38
00:02:13,040 --> 00:02:16,957
They'll be able to uh take all
of our information. And who knows, if they

39
00:02:17,040 --> 00:02:21,197
really build an incredible advantage
in AI, especially AI when it comes to

40
00:02:21,280 --> 00:02:25,997
military or defense technologies, they
may use that to start conquering nearby

41
00:02:26,080 --> 00:02:28,957
countries. You know, we really
don't know what's going to happen.

42
00:02:29,040 --> 00:02:30,397
>> And it's it's very
interesting, too, cuz

43
00:02:30,480 --> 00:02:33,677
your parents are Chinese and you grew
up in Los Alamos, and so you sort of have

44
00:02:33,760 --> 00:02:38,077
this deep understanding
of security, [music] technology,

45
00:02:38,160 --> 00:02:41,277
and what all that means. So you
have a very interesting perspective.

46
00:02:41,360 --> 00:02:43,837
>> It was very much so drilled into my

47
00:02:43,920 --> 00:02:45,837
childhood that that American leadership

48
00:02:45,920 --> 00:02:49,997
in science and technology is the core of

49
00:02:50,080 --> 00:02:54,077
why we as a country are able to maintain
our national security, why we're able to

50
00:02:54,160 --> 00:02:58,957
maintain leadership. You know, it's so
critical to ultimately how America stays

51
00:02:59,040 --> 00:03:03,037
ahead in the global order.
>> So what are the jobs of the future that

52
00:03:03,120 --> 00:03:06,637
involve us working with AI and what does
that look like for the average American?

53
00:03:06,720 --> 00:03:10,077
These are work opportunities that are
going towards Americans and going

54
00:03:10,160 --> 00:03:12,557
towards people who uh who otherwise may

55
00:03:12,640 --> 00:03:17,437
not have exciting opportunities in a
growing economic space like AI. And I

56
00:03:17,520 --> 00:03:21,357
think this is just going to keep
accelerating. And I think jobs in AI are

57
00:03:21,440 --> 00:03:23,677
going to grow faster than anywhere else.

58
00:03:23,760 --> 00:03:26,077
You know, one of the other things that I
definitely believe and I've been talking

59
00:03:26,160 --> 00:03:30,797
about is that we as humans are kind
of going to become the managers of AI

60
00:03:30,880 --> 00:03:34,557
agents. It's almost like everybody in
the world is going to get to be promoted

61
00:03:34,640 --> 00:03:36,477
to be a manager. But I do think that,

62
00:03:36,560 --> 00:03:37,917
you know, we're going to be able to

63
00:03:38,000 --> 00:03:41,597
utilize these AI agents to do more and

64
00:03:41,680 --> 00:03:45,237
have greater ambition on what each
individual human is able to accomplish.

65
00:03:45,320 --> 00:03:47,437
[music] >> And it's decentralized,
too. So, it's an

66
00:03:47,520 --> 00:03:51,277
interesting point you make about people
in rural areas can participate. It

67
00:03:51,360 --> 00:03:54,317
doesn't have to just be in big cities
like New York or San Francisco. [music]

68
00:03:54,400 --> 00:03:58,077
>> Yeah, exactly. That's one of I think
the really exciting things is that because

69
00:03:58,160 --> 00:04:01,997
AI is a digital technology because all
Americans are going to have access to

70
00:04:02,080 --> 00:04:04,237
technology, it really democratizes and

71
00:04:04,320 --> 00:04:09,117
and really uh you know spreads out
the opportunity across the entire US.

72
00:04:09,200 --> 00:04:11,837
>> Is that what you would say excites
you most or is there anything else that

73
00:04:11,920 --> 00:04:14,637
really excites you today
about where you see AI going?

74
00:04:14,720 --> 00:04:16,477
>> The really exciting things are are just

75
00:04:16,560 --> 00:04:19,197
the degree to which it's going to enable

76
00:04:19,280 --> 00:04:21,677
people to accomplish way more. I mean,

77
00:04:21,760 --> 00:04:23,757
some of the things that that I find like

78
00:04:23,840 --> 00:04:28,717
at my at my core really exciting are
how AI will be used in science and how it

79
00:04:28,800 --> 00:04:31,677
will be used to sort of accelerate
scientific discoveries.

80
00:04:31,760 --> 00:04:35,117
>> Can you speak to scale? What's next
for you? Obviously, you're busy working on

81
00:04:35,200 --> 00:04:38,717
issues like these, but but what what
are what's the future of the company?

82
00:04:38,800 --> 00:04:41,757
>> We recently announced a program
called Thunder Forge that we're working on

83
00:04:41,840 --> 00:04:44,717
actively with the Department
of Defense to utilize [music]

84
00:04:44,800 --> 00:04:49,517
AI and AI agents for military planning
and wargaming. We're very, very excited

85
00:04:49,600 --> 00:04:52,397
about that. I think there's so much more
work to be done there. I think that's

86
00:04:52,480 --> 00:04:55,437
going to be something we work on [music]
for decades to come. You know, it's not

87
00:04:55,520 --> 00:04:57,997
just like a a next year
or next few year things

88
00:04:58,080 --> 00:05:00,237
>> because that's the future
of warfare [snorts] it seems.

89
00:05:00,320 --> 00:05:02,157
>> Yes. Uh we we believe that

90
00:05:02,240 --> 00:05:03,837
fullheartedly. And then we're seeing a

91
00:05:03,920 --> 00:05:07,517
lot of exciting work with uh many uh

92
00:05:07,600 --> 00:05:11,757
many great American enterprises.
We're seeing now that that American

93
00:05:11,840 --> 00:05:15,037
enterprises more so than than even
enterprises globally are really

94
00:05:15,120 --> 00:05:19,117
embracing AI and want to figure out
how they can utilize it to operate more

95
00:05:19,200 --> 00:05:23,037
efficiently, be more competitive,
and deliver a greater result to their

96
00:05:23,120 --> 00:05:25,360
customers.
