0
00:00:00,000 --> 00:00:28,000
 The following is a conversation with Elon Musk, his fourth time on this,  going to finish it. It's one of the greatest themes in all film history.
1
00:00:28,000 --> 00:00:32,000
 Yeah, it's great.
2
00:00:32,000 --> 00:00:33,000
 So, I was just thinking about the Yeah, that's great.
3
00:00:37,000 --> 00:00:44,640
 So, I was just thinking about the Roman Empire, as one does. There's that whole meme where, oh guys are thinking about the Roman Empire at least once a day.
4
00:00:44,640 --> 00:00:48,200
 And half the population is confused whether it's true or not.
5
00:00:48,200 --> 00:00:56,719
 But more seriously, thinking about the war is going on in the world today. And as you know, war and military conquest has been a
6
00:00:57,280 --> 00:01:05,760
 big part of Roman society and culture and it I think has been a big part of most empires and dynasties throughout human history.
7
00:01:05,760 --> 00:01:10,200
 So, yeah, they usually came as a result of conquest.
8
00:01:10,200 --> 00:01:15,239
 I mean, there's something like the Austro-Hungarian Empire where there was just a lot of sort of clever marriages.
9
00:01:16,359 --> 00:01:21,319
 But fundamentally there's an engine of conquest. They celebrate excellence in
10
00:01:22,120 --> 00:01:26,000
 warfare. Many of the leaders were excellent generals.
11
00:01:26,000 --> 00:01:31,959
 Yeah, that kind of thing. So a big picture question, Grock approved. I asked this is a good
12
00:01:31,959 --> 00:01:32,760
 question to ask.
13
00:01:32,760 --> 00:01:34,000
 Did test it, Grock approved?
14
00:01:34,000 --> 00:01:37,000
 Yeah, at least on fun mode.
15
00:01:40,480 --> 00:01:48,920
 To what degree do you think war is part of human nature versus a consequence of how human
16
00:01:48,920 --> 00:01:50,680
 societies are structured?
17
00:01:50,680 --> 00:01:57,000
 I ask this as you have somehow controversially been a proponent of peace.
18
00:01:57,000 --> 00:01:59,000
 I'm generally a proponent of peace.
19
00:01:59,000 --> 00:02:05,439
 I mean, ignorance is perhaps in my view the real enemy to counter it. That's the real hard part, not
20
00:02:05,439 --> 00:02:11,680
 you know fighting other humans. But all creatures fight. I mean the the jungle
21
00:02:11,680 --> 00:02:15,039
 is a, you look at thethe people think of the nature as
22
00:02:15,039 --> 00:02:19,439
 perhaps some sort of peaceful thing but in fact it is not there's some quite funny
23
00:02:19,439 --> 00:02:26,080
 when a when a hoods hurt's hog thing where he's like in the jungle like saying that it's like basically
24
00:02:26,599 --> 00:02:29,240
 Just murder and death in every direction
25
00:02:29,240 --> 00:02:36,000
 I mean the plants animals in the jungle are constantly trying to kill each other, every single day, every minute.
26
00:02:36,000 --> 00:02:40,000
 So it's not like, you know, we're unusual in that respect.
27
00:02:40,000 --> 00:02:48,000
 There's a relevant question here whether with greater intelligence comes greater control over these base instincts for violence.
28
00:02:48,000 --> 00:02:58,000
 Yes. We have much more of an ability to control our lumping instinct for violence than, say, a chimpanzee.
29
00:02:58,000 --> 00:03:03,199
 And in fact, if one looks at say chimpanzee society, it is not friendly.
30
00:03:03,199 --> 00:03:06,199
 I mean, the bonobos are an exception.
31
00:03:06,199 --> 00:03:11,879
 But chimpanzee society is full with violence,
32
00:03:11,879 --> 00:03:15,000
 and it's quite horrific frankly.
33
00:03:15,000 --> 00:03:18,000
 That's that's our Olympic system in action.
34
00:03:18,000 --> 00:03:20,000
 Like you know if you're on the wrong side of a chimpanzee,
35
00:03:20,000 --> 00:03:22,000
 eat your face off and tear or nuts off.
36
00:03:22,000 --> 00:03:24,199
 Yeah, basically there's no limits or ethics
37
00:03:24,199 --> 00:03:29,199
 or they're almost a just war. There's no just war in the chimpanzee societies.
38
00:03:29,199 --> 00:03:33,199
 Is war and and dominoes by any means necessary.
39
00:03:33,199 --> 00:03:36,560
 Yeah, term of zys society is like a primitive version of human society.
40
00:03:36,560 --> 00:03:40,400
 They're not like peace loving, basically, at all.
41
00:03:40,400 --> 00:03:47,000
 There's extreme violence. And then once in a while somebody who's watched too
42
00:03:47,159 --> 00:03:55,360
 many Disney movies decides to raise the Chopin Z as a pet. And then that eats their face or if they're nuts off or chose their fingers off and that kind of thing.
43
00:03:56,000 --> 00:03:57,360
 Yeah, it's happened several times.
44
00:03:57,759 --> 00:04:01,479
 Ripping your nuts off is an interesting strategy for interaction.
45
00:04:01,479 --> 00:04:04,000
 So it's happened to people, it's unfortunate.
46
00:04:04,000 --> 00:04:10,000
 Like, that's, I guess, a one way to ensure that the other chump doesn't, like, you know, contribute to the gene pool.
47
00:04:10,000 --> 00:04:14,000
 Well, from a martial arts perspective, it's a fascinating strategy.
48
00:04:14,000 --> 00:04:16,000
 The nut ripper.
49
00:04:16,000 --> 00:04:21,000
 I wonder which of the martial arts teaches that.
50
00:04:21,000 --> 00:04:24,959
 I think it's safe to say if somebody's got your nuts in their
51
00:04:24,959 --> 00:04:30,240
 ass and as the upshot rubbing them off you will be amenable to whatever they want.
52
00:04:30,240 --> 00:04:34,360
 Yeah. So like I said, somehow
53
00:04:34,360 --> 00:04:39,519
 controversially you've been a proponent of peace on Twitter on X. Yeah. So let me
54
00:04:39,519 --> 00:04:44,000
 ask you about the wars going on today and to see what the path to peace could be.
55
00:04:44,000 --> 00:04:48,000
 How do you hope the current war in Israel and Gaza comes to an end?
56
00:04:48,000 --> 00:04:54,000
 What path do you see that can minimize human suffering in the long term in that part of the world.
57
00:04:54,720 --> 00:04:59,279
 Well, I think that part of the world is definitely, like if you look up the,
58
00:04:59,279 --> 00:05:05,519
 there is no easy answer in the dictionary, it'll be thatthat like the picture of the Middle East, in
59
00:05:05,519 --> 00:05:10,519
 Israel especially. So there is no easy answer.
60
00:05:10,519 --> 00:05:21,839
 What my, this is strictly my opinion of, you know, is that the goal of Hamas was to
61
00:05:21,839 --> 00:05:24,000
 provoke an overreaction from Israel.
62
00:05:24,000 --> 00:05:31,199
 They obviously did not expect to, you know, have a military victory, but they really wanted
63
00:05:31,199 --> 00:05:41,000
 to commit the worst atrocities that they could in order to provoke the most aggressive response possible from Israel.
64
00:05:41,000 --> 00:05:49,839
 And then leverage that aggressive response to rally Muslims worldwide
65
00:05:49,839 --> 00:05:58,160
 for the cause of Gaza and Palestine, which they have succeeded in doing.
66
00:05:58,160 --> 00:06:05,000
 So the counter-ituitive thing here, I think that the thing that I think should be done, even
67
00:06:05,000 --> 00:06:11,160
 though it is very difficult, is that I would recommend that Israel engage in the most
68
00:06:11,160 --> 00:06:15,279
 conspicuous acts of kindness possible, everything.
69
00:06:16,000 --> 00:06:18,720
 That is the actual thing that would thwart the goal of Mars.
70
00:06:19,519 --> 00:06:26,000
 So in some sense, the degree that makes sense in geopolitics, turn the other cheek implemented?
71
00:06:26,000 --> 00:06:42,000
 It's not exactly turn the other cheek, because I do think that there's, you know, I think it is appropriate for Israel to find the Hamas members and, you know,
72
00:06:42,000 --> 00:06:45,000
 either kill them or cost rate them.
73
00:06:45,000 --> 00:06:50,000
 Like, that's something has to be done because they're just going to keep coming, otherwise.
74
00:06:50,000 --> 00:06:58,000
 But in addition to that, they need to do whatever they can.
75
00:06:58,000 --> 00:07:02,000
 There's some talk of establishing, for example, a mobile hospital.
76
00:07:02,000 --> 00:07:07,279
 I'd recommend doing that. Just making sure that
77
00:07:07,279 --> 00:07:19,439
 you know there's food, water, medical necessities and just be over the top about it and be very transparent
78
00:07:19,439 --> 00:07:23,000
 so it's that it's so the can't people can't claim it's a trick.
79
00:07:23,680 --> 00:07:27,839
 Like, just put a webcam on the thing, you know, all 24-7.
80
00:07:29,120 --> 00:07:30,560
 Deploy acts of kindness.
81
00:07:31,399 --> 00:07:38,319
 Yeah, conspicuous acts of kindness that that with that are unequivocal, meaning they can't be
82
00:07:38,959 --> 00:07:43,000
 somehow, because Hamas will then, their response will be, oh, it's a trick.
83
00:07:43,000 --> 00:07:46,000
 Therefore, you have to counter how it is not a trick.
84
00:07:46,000 --> 00:07:51,000
 This ultimately fights the broader force of hatred in the region.
85
00:07:51,000 --> 00:07:52,000
 Yes.
86
00:07:52,000 --> 00:07:57,000
 And I'm not sure who said it to some apocryphal saying, but an eye for an eye makes everyone
87
00:07:57,000 --> 00:07:58,000
 blind.
88
00:07:58,000 --> 00:08:09,160
 Now, that neck of the woods, they really believe in the whole eye for an eye thing. But you really have, if you're not
89
00:08:09,160 --> 00:08:15,319
 going to just outright commit genocide like it against an entire people, which obviously would not be acceptable
90
00:08:15,319 --> 00:08:21,199
 to, really shouldn't be acceptable to anyone, then you're going to leave basically a lot
91
00:08:21,199 --> 00:08:25,199
 of people alive who subsequently hate Israel.
92
00:08:25,199 --> 00:08:30,560
 So really the question is like how for every Hamas member that you kill how
93
00:08:30,560 --> 00:08:36,200
 did you create and if you create more than you kill, you've not
94
00:08:36,200 --> 00:08:40,720
 succeeded. That's the, you know, the real situation there. And it's safe to say
95
00:08:40,720 --> 00:08:50,000
 that if, you know, if you kill somebody's child in Gaza,
96
00:08:50,000 --> 00:09:01,679
 you've made at least a few homeless members who will die just to kill Israeli.
97
00:09:09,240 --> 00:09:16,799
 That's the situation. So, but I mean this is one of the most contentious subjects one could possibly discuss, but I think if the goal ultimate is some sort of long-term piece,
98
00:09:16,799 --> 00:09:27,200
 one has to be look at this from a standpoint of over time, are there more or fewer terrorists being created? Let me just
99
00:09:27,200 --> 00:09:33,000
 linger on war. Yeah, well war, it would say, always existed and always will exist.
100
00:09:33,000 --> 00:09:34,500
 Always will exist.
101
00:09:34,500 --> 00:09:37,000
 It always has, always has existed and always will exist.
102
00:09:37,000 --> 00:09:38,000
 I hope not.
103
00:09:38,000 --> 00:09:39,500
 You think it always will.
104
00:09:39,500 --> 00:09:42,000
 There will always be war.
105
00:09:42,000 --> 00:09:48,279
 This question of just how much war and you know, there's the sort of the scope and
106
00:09:48,279 --> 00:09:55,600
 scale of war, but to imagine that there would not be any war in the future, I think, would be a very unlikely outcome.
107
00:09:55,600 --> 00:09:58,500
 Yeah, you talked about the culture series. There's war even there?
108
00:09:58,500 --> 00:10:07,320
 Yes. It was a giant war. The first book starts off with a gigantic, galactic war where trillions die, trillions.
109
00:10:07,320 --> 00:10:16,480
 But it still nevertheless protects these pockets of flourishing. Somehow you can have galactic war and still have pockets of
110
00:10:16,480 --> 00:10:23,440
 flourishing. Yeah I mean it's I guess if we are able to one day expand to, you know,
111
00:10:23,440 --> 00:10:30,080
 full the galaxy or whatever, there will be a galactic war at some point.
112
00:10:30,080 --> 00:10:34,000
 The scale, I mean the scale of war has been increasing, increasing, increasing.
113
00:10:34,000 --> 00:10:38,000
 It's like a race between the scale of suffering and the scale of flourishing.
114
00:10:38,000 --> 00:10:39,000
 Yes.
115
00:10:39,000 --> 00:10:46,519
 A lot of people seem to be using this tragedy to beat the drums of war and feed the military
116
00:10:46,519 --> 00:10:47,519
 industrial complex.
117
00:10:47,519 --> 00:10:49,799
 Do you worry about this?
118
00:10:49,799 --> 00:10:55,000
 The people who are rooting for escalation and how can it be stopped?
119
00:10:55,000 --> 00:10:59,600
 One of the things that does concern me is that there are very few people alive today
120
00:10:59,600 --> 00:11:05,559
 who actually viscerally understand the horrors of war, at least in the US. I mean, obviously
121
00:11:05,559 --> 00:11:09,600
 there are people on the front lines in Ukraine and Russia who understand just how terrible
122
00:11:09,600 --> 00:11:16,120
 war is, but how many people in the West understand it. My grandfather was in World
123
00:11:16,120 --> 00:11:22,240
 War II, he was severely traumatized. He was there for almost six years in
124
00:11:22,240 --> 00:11:25,200
 the Eastern you know, in East and North Africa and Italy.
125
00:11:25,200 --> 00:11:38,039
 All his friends were killed in front of him and he would have died too, except they randomly gave some IQ test or something, and he scored
126
00:11:38,039 --> 00:11:39,039
 very high.
127
00:11:39,039 --> 00:11:43,960
 Now, he was not an officer, I think a corporal or sergeant or something like that, because he didn't
128
00:11:43,960 --> 00:11:49,159
 finish high school. He had to drop out high school because his dad died and he had to work
129
00:11:49,159 --> 00:11:55,080
 to support his siblings. So because he didn't graduate high school, he was not eligible for the
130
00:11:55,080 --> 00:12:01,879
 officer corps. So, you know, he kind of got put into the cannon fodder category,
131
00:12:01,879 --> 00:12:03,000
 basically.
132
00:12:03,000 --> 00:12:07,000
 But then, randomly, they gave him this test.
133
00:12:07,000 --> 00:12:10,000
 He was transferred to British intelligence in London.
134
00:12:10,000 --> 00:12:12,000
 That's where he met my grandmother.
135
00:12:12,000 --> 00:12:17,000
 But he had PTSD next level, like next level.
136
00:12:17,000 --> 00:12:20,000
 I mean, just didn't talk.
137
00:12:20,000 --> 00:12:21,000
 Just didn't talk.
138
00:12:21,000 --> 00:12:23,279
 And if you try to talk in him, he'd just tell you to shut up.
139
00:12:24,399 --> 00:12:29,840
 And he won a bunch of medals, never ragged about it once, not even hinted, nothing.
140
00:12:29,840 --> 00:12:34,000
 I found out about it because his military records are online.
141
00:12:34,000 --> 00:12:36,440
 That's how I know.
142
00:12:36,440 --> 00:12:39,879
 So he would say like, no, no way in hell.
143
00:12:39,879 --> 00:12:41,720
 Do you want to do that again?
144
00:12:41,720 --> 00:12:46,840
 But how many people, now he obviously, he died 20 years ago, or
145
00:12:46,840 --> 00:12:54,000
 longer actually, 30 years ago. How many people are alive that remember World War II? Not many.
146
00:12:54,000 --> 00:12:58,000
 And the same perhaps applies to the threat of nuclear war.
147
00:12:58,000 --> 00:13:07,159
 Yeah, I mean there are enough nuclear bombs pointed at the United States to make the radioactive
148
00:13:07,159 --> 00:13:10,759
 rubble balance many times.
149
00:13:10,759 --> 00:13:14,399
 There's two major wars going on right now.
150
00:13:14,399 --> 00:13:20,759
 So you talked about the threat of AGI quite a bit, but now, as we sit here with the intensity
151
00:13:20,759 --> 00:13:25,679
 of conflict going on, do you worry about nuclear war?
152
00:13:25,679 --> 00:13:29,240
 I think we shouldn't discount the possibility of nuclear war.
153
00:13:29,240 --> 00:13:40,440
 It is a civilizational threat. threat. Right now I could be wrong but I think the current probability of
154
00:13:40,440 --> 00:13:46,559
 nuclear war is quite low but there are a lot of nukes pointed at us.
155
00:13:46,559 --> 00:13:50,919
 So, and we have a lot of nukes pointed at other people. They're still there.
156
00:13:50,919 --> 00:13:54,000
 Nobody's put their their guns away.
157
00:13:55,000 --> 00:13:57,000
 The missiles are still in the silos.
158
00:13:57,000 --> 00:14:02,600
 And the leaders don't seem to be the ones with the nukes talking to each other?
159
00:14:02,600 --> 00:14:03,600
 No.
160
00:14:03,600 --> 00:14:09,159
 There are wars which are tragic and difficult on a local basis, and then there are wars
161
00:14:09,159 --> 00:14:14,200
 which are civilization ending, or has that potential. Obviously, global thermonuclear warfare
162
00:14:14,200 --> 00:14:20,840
 has high potential to end civilization, perhaps permanently, but certainly, you
163
00:14:20,840 --> 00:14:39,679
 know, to severely wound and perhaps set back human progress by, you know, to the stone age or something something I don't know pretty bad probably a
164
00:14:39,679 --> 00:14:43,440
 scientist and engineers want to be super popular after that as well. Like you
165
00:14:43,440 --> 00:14:49,759
 got us into this mess. So generally I think we obviously want to prioritize
166
00:14:49,759 --> 00:14:56,039
 civilization risks over things that are painful and tragic on a local level, but not
167
00:14:56,039 --> 00:15:02,759
 civilizational. How do you hope the war in Ukraine comes to an end?
168
00:15:05,720 --> 00:15:08,440
 And what's the path, again to minimizing human suffering there?
169
00:15:19,000 --> 00:15:32,159
 Well, I think that what is likely to happen, which is really pretty much the way it is, is that something very close to the current lines will be how a ceasefire or truth happens. But you
170
00:15:32,159 --> 00:15:35,000
 know you just have a situation right now where whoever goes on the offensive
171
00:15:35,000 --> 00:15:40,000
 will suffer casualties at several times the rate of whoever's on the defense.
172
00:15:40,000 --> 00:15:47,000
 Because you've got defense and death, you've got minefields, trenches, anti-tank defenses.
173
00:15:47,000 --> 00:15:55,399
 Nobody has air superiority because the anti-aircraft missiles are really far better than the aircraft.
174
00:15:55,399 --> 00:15:57,000
 Like, they're far more of them.
175
00:15:57,000 --> 00:16:02,000
 And so neither side has air superiority.
176
00:16:02,000 --> 00:16:06,720
 Tanks, basically death traps, just slow moving and they're not
177
00:16:06,720 --> 00:16:17,799
 immune to anti-tank weapons. So you really just have long-range artillery and infantry ranges. It's world war
178
00:16:17,799 --> 00:16:24,000
 over again. With drones, you know, throwing old drones, some drones there.
179
00:16:24,000 --> 00:16:28,000
 Which makes the long-range artillery just that much more accurate and better,
180
00:16:28,000 --> 00:16:32,000
 and so more efficient and murdering people on both sides.
181
00:16:32,000 --> 00:16:37,519
 Yeah. So it's whoever is you don't you don't
182
00:16:37,519 --> 00:16:40,679
 you don't want to be trying to advance from either side because the probability
183
00:16:40,679 --> 00:16:49,759
 of dying is incredibly high. So in order to overcome defense in
184
00:16:49,759 --> 00:16:57,000
 depth trenches and minefields, you really need significant local superiority in numbers.
185
00:16:57,000 --> 00:17:04,000
 Ideally, combined arms, where you do a fast attack with aircraft,
186
00:17:05,160 --> 00:17:07,200
 a concentrated number of tanks,
187
00:17:08,519 --> 00:17:10,079
 and a lot of people.
188
00:17:10,079 --> 00:17:12,319
 That's the only way you're gonna punch through a line.
189
00:17:12,319 --> 00:17:19,000
 And then you're gonna punch through and then not have reinforcements just kick you right out again.
190
00:17:19,000 --> 00:17:28,599
 I mean, I really recommend people read World War I warfare in detail.
191
00:17:28,599 --> 00:17:30,599
 That's rough.
192
00:17:30,599 --> 00:17:36,000
 I mean, the sheer number of people that died there was mind-boggling.
193
00:17:36,000 --> 00:17:44,160
 And it's almost impossible to imagine the end of it that doesn't look like, almost exactly like the beginning in terms of
194
00:17:44,160 --> 00:17:51,480
 what land belongs to who and so on but on the other side of a lot of human
195
00:17:51,480 --> 00:17:56,000
 suffering, death and destruction of infrastructure.
196
00:17:56,000 --> 00:18:08,640
 Yes, I mean, the thing that, the reason I, you know, proposed a some sort of cruice or piece a year ago was because I've predicted pretty much exactly
197
00:18:08,640 --> 00:18:14,400
 what would happen, which is a lot of people dying for basically almost no changes in land.
198
00:18:15,839 --> 00:18:25,759
 And the loss of the flower of Ukrainian and Russian youth, and we should have some sympathy for the Russian boys as well as the Ukrainian boys
199
00:18:25,920 --> 00:18:29,200
 Because they're our boys didn't ask to be on their front line. They have to be
200
00:18:30,319 --> 00:18:32,319
 so
201
00:18:32,319 --> 00:18:41,240
 There's a lot of sons not come back to their parents, you know, and I think most of
202
00:18:41,240 --> 00:18:44,559
 them don't really have, they don't hit the other side.
203
00:18:44,559 --> 00:18:50,160
 You know, it's sort of like, as the saying about, like this saying comes from World War
204
00:18:50,160 --> 00:18:55,400
 1, it's like, young boys who don't know each other, killing each other on behalf
205
00:18:55,400 --> 00:18:59,839
 of old men that do know each other.
206
00:18:59,839 --> 00:19:02,440
 What the point of that?
207
00:19:02,440 --> 00:19:06,039
 So Volatimer Zelensky said that he's not or has said in the
208
00:19:06,039 --> 00:19:09,119
 past he's not interested in talking to Putin directly. Do you think he should?
209
00:19:09,119 --> 00:19:14,640
 Yeah. Sit down? Man to man leader, leader, and negotiate peace?
210
00:19:14,640 --> 00:19:28,000
 I think I would just recommend do not send the flower of Ukrainian youth to die in trenches. Whether he talks to Putin or not, just don't do that.
211
00:19:28,000 --> 00:19:33,440
 Whoever it goes on the offensive will lose massive numbers of people.
212
00:19:37,440 --> 00:19:39,440
 And history will not look kindly upon them.
213
00:19:42,079 --> 00:19:46,799
 You spoken honestly about the possibility of war between U.S. and China in the long-term
214
00:19:46,799 --> 00:19:49,720
 if no diplomatic solution is found.
215
00:19:49,720 --> 00:19:52,880
 For example, on the question of Taiwan and one China policy.
216
00:19:52,880 --> 00:19:57,000
 How do we avoid the trajectory where these two superpowers clash?
217
00:19:58,440 --> 00:20:00,240
 Well, it's worth reading that book on the,
218
00:20:00,240 --> 00:20:04,000
 the, difficult to pronounce the Cidides trap I believe it's called.
219
00:20:04,000 --> 00:20:08,000
 I love war history, I like, inside out and backwards.
220
00:20:08,000 --> 00:20:12,000
 There's hardly a battle I haven't read about.
221
00:20:12,000 --> 00:20:13,599
 And trying to figure out, like, what... hardly a battle I haven't read about.
222
00:20:17,440 --> 00:20:21,480
 And trying to figure out like what really was the cause of victory in any particular case, as opposed to what one side or another claim for the reason.
223
00:20:21,480 --> 00:20:28,720
 Both the victory and what sparked the war and yeah, the whole thing. Yeah. So that Athens and
224
00:20:28,720 --> 00:20:32,640
 Sparta is a classic case. The thing about the Greeks is they really wrote down a lot of stuff. They loved writing.
225
00:20:33,680 --> 00:20:36,000
 You know, there are lots of interesting things that happen in many parts of the world,
226
00:20:36,000 --> 00:20:44,880
 but they just people didn't write down. So we don't know what happened or they didn't really write in detail.
227
00:20:44,880 --> 00:20:48,079
 They just would say like, we had a battle and we won.
228
00:20:48,079 --> 00:20:49,079
 And like, well, what?
229
00:20:49,079 --> 00:20:51,119
 Can you add a bit more?
230
00:20:51,119 --> 00:20:54,720
 The Greeks, they really wrote a lot.
231
00:20:54,720 --> 00:20:59,039
 They were very articulate on, they just love writing, and we have a bunch of that writing that's
232
00:20:59,039 --> 00:21:00,039
 preserved.
233
00:21:00,039 --> 00:21:07,000
 So we know what led up to the Peloponnesian War between the East Barton and Athenian alliance.
234
00:21:07,000 --> 00:21:16,000
 And we know that they saw it coming.
235
00:21:16,000 --> 00:21:19,519
 I mean, as far as they're in the right, they weren't very verbose by their nature.
236
00:21:19,519 --> 00:21:21,759
 But they did it right, but they weren't very verbose.
237
00:21:21,759 --> 00:21:23,000
 They weren't terse.
238
00:21:23,000 --> 00:21:26,000
 But the Athenians and the other Greeks were right align.
239
00:21:26,000 --> 00:21:36,559
 And they were like, and Sparta was really kind of like the leader of Greece, but Athens grew stronger and stronger with each passing year.
240
00:21:36,559 --> 00:21:41,680
 And everyone's like, well that's inevitable that there's going to be a clash
241
00:21:41,680 --> 00:21:44,000
 between Athens and Sparta.
242
00:21:44,000 --> 00:21:46,839
 Well, how do we avoid that?
243
00:21:46,839 --> 00:21:50,599
 And they couldn't, they actually, they saw it coming and they still could not avoid it.
244
00:21:50,599 --> 00:22:00,440
 So, you know, at some point if there's, if one group, one civilization or
245
00:22:00,440 --> 00:22:05,000
 country or whatever exceeds another.
246
00:22:05,000 --> 00:22:09,000
 It's sort of like, you know, the United States has been the biggest kill in the block
247
00:22:09,000 --> 00:22:14,599
 since I think ground 1890 from an economic standpoint.
248
00:22:14,599 --> 00:22:18,119
 So the United States has been the economic,
249
00:22:18,119 --> 00:22:23,519
 most powerful economic engine in the world longer than anyone's been alive.
250
00:22:28,160 --> 00:22:46,000
 And the foundation of war is economics. So now we have a situation in the case of China where the economy is likely to be two, perhaps three times, larger than that of the U.S.
251
00:22:46,000 --> 00:22:49,680
 So imagine you're the biggest kid on the block for as long as anyone can remember, and
252
00:22:49,680 --> 00:22:55,599
 suddenly a kid comes along who's twice your size.
253
00:22:57,400 --> 00:22:58,400
 So we see it coming. Yeah.
254
00:22:58,400 --> 00:23:00,000
 How is it possible to stop?
255
00:23:00,000 --> 00:23:01,000
 Is there some...
256
00:23:01,000 --> 00:23:06,200
 Let me throw something out there, just intermixing of cultures, understanding.
257
00:23:06,200 --> 00:23:09,880
 There just seem to be a giant cultural gap in understanding of each other.
258
00:23:09,880 --> 00:23:14,559
 And you're an interesting case study because you are an American, obviously you've done a lot
259
00:23:14,559 --> 00:23:19,759
 of incredible manufacture here in the United States, but you also work with China.
260
00:23:19,759 --> 00:23:22,799
 I've spent a lot of time in China and met with the leadership many times.
261
00:23:22,799 --> 00:23:27,759
 Maybe a good question to ask is, what are some things about China that people don't understand,
262
00:23:27,759 --> 00:23:33,000
 positive, just in the culture? What's some interesting things that you've learned about the Chinese.
263
00:23:36,000 --> 00:23:44,359
 Well, the sheer number of really smart, hard-working people in China is incredible.
264
00:23:44,359 --> 00:23:48,640
 There are, I believe, say, how many smart, hard-working people
265
00:23:48,640 --> 00:23:49,200
 are there in China?
266
00:23:49,200 --> 00:23:51,640
 There's far more of them there than they are here,
267
00:23:51,640 --> 00:23:55,000
 I think it might be in my opinion.
268
00:23:55,000 --> 00:24:00,000
 The, and they've got a lot of energy.
269
00:24:00,000 --> 00:24:06,119
 So, I mean, the architecture in China that's in recent years is far more
270
00:24:06,119 --> 00:24:11,680
 impressive than the US. I mean, the train stations, the buildings, the high-speed
271
00:24:11,680 --> 00:24:18,240
 rail, everything. It's really far more impressive than what
272
00:24:18,240 --> 00:24:25,599
 we have in the U.S. I mean, I recommend somebody just go to Shanghai and Beijing, look at the buildings and go to, you know,
273
00:24:25,599 --> 00:24:29,400
 take the train from Beijing to Cheyenne where you have the terracotta warriors.
274
00:24:29,400 --> 00:24:33,599
 China's got an incredible history, very long history.
275
00:24:33,599 --> 00:24:40,079
 And I think arguably the, in terms of the use of language
276
00:24:40,079 --> 00:24:47,599
 from a written standpoint, sort of one of the oldest, perhaps the oldest written language.
277
00:24:48,160 --> 00:24:58,359
 And then China, people did write things down. So, China historically has always been, with rare exception, been internally
278
00:24:58,359 --> 00:25:06,319
 focused. They have not been acquisitive. They've, they've fought each other, there have been many, many civil
279
00:25:06,319 --> 00:25:14,000
 wars. In the Three Kingdoms War, I believe they lost about 70% of their population.
280
00:25:19,000 --> 00:25:25,000
 So they've had brutal internal wars. Like civil wars that make the US of war look small by comparison.
281
00:25:28,720 --> 00:25:35,440
 So I think it's important to appreciate that China is not monolithic. We sort of think of
282
00:25:35,440 --> 00:25:40,599
 like China is a sort of one entity of one mind and this is definitely not the
283
00:25:40,599 --> 00:25:46,539
 case. From what I've seen and I think most people who
284
00:25:46,539 --> 00:25:50,920
 understand China would agree, people in China think about China ten times
285
00:25:50,920 --> 00:25:53,920
 when they think about anything outside of China.
286
00:25:53,920 --> 00:26:01,599
 So it's like 90% of their consideration is, you know, other is internal.
287
00:26:01,599 --> 00:26:05,359
 Well isn't that a really positive thing? When you're talking about the collaboration
288
00:26:05,359 --> 00:26:10,480
 and a future piece between superpowers, when you're inward facing, which is like focusing on
289
00:26:10,480 --> 00:26:16,400
 improving yourself versus focusing on quote-unquote improving others
290
00:26:16,400 --> 00:26:20,960
 through military might. The good news, the history of China suggests that
291
00:26:20,960 --> 00:26:24,440
 China is not acquisitive, meaning they're not going to go out and invade a whole bunch of countries.
292
00:26:25,640 --> 00:26:32,400
 Now they do feel very strongly, you know, so that's good. I mean, because a lot of very powerful countries have been acquisitive.
293
00:26:37,279 --> 00:26:41,759
 The U. The US is also one of the rare cases that has not been acquisitive. After World War II, the US could have basically taken over the world
294
00:26:41,759 --> 00:26:42,799
 in any country.
295
00:26:42,799 --> 00:26:44,400
 Like we got nukes, nobody else got nukes.
296
00:26:44,400 --> 00:26:47,960
 We don't even have to lose soldiers.
297
00:26:47,960 --> 00:26:49,759
 Which country do you want?
298
00:26:49,759 --> 00:26:52,319
 And the United States could have taken over everything.
299
00:26:52,319 --> 00:26:55,599
 Oh, it at well, and it didn't. And the United
300
00:26:55,599 --> 00:26:59,960
 States actually helped rebuild countries. So it helped rebuild Europe, you know, helped
301
00:26:59,960 --> 00:27:07,000
 rebuild Japan. This is very unusual behavior, almost unprecedented.
302
00:27:10,000 --> 00:27:14,319
 You know, the US did conspicuous acts of kindness, like the Berlin Airlift.
303
00:27:15,440 --> 00:27:23,759
 You know. And I think, you know, it's always like, well, America's done bad things.
304
00:27:23,759 --> 00:27:26,880
 Well, of course, America's done bad things, but one needs to look at the whole track record.
305
00:27:29,200 --> 00:27:38,240
 And just generally, you know, when one sort of test would be how do you treat your prison as a war?
306
00:27:38,240 --> 00:27:47,000
 Or let's say, you know, no offense to the Russians, but let's say you're in Germany, it's 1945.
307
00:27:47,000 --> 00:27:51,599
 You got the Russian army coming on one side, and you got the French, British and American
308
00:27:51,599 --> 00:27:54,200
 armies coming the other side. Who would you like to be
309
00:27:54,200 --> 00:28:01,880
 to surrender to? Like no country is like morally perfect but I recommend being a
310
00:28:01,880 --> 00:28:03,640
 POW with the Americans.
311
00:28:03,640 --> 00:28:07,599
 That would be my choice very strongly.
312
00:28:07,599 --> 00:28:09,119
 In the full menu of POW.
313
00:28:09,119 --> 00:28:11,359
 Very much so.
314
00:28:11,359 --> 00:28:18,160
 And in fact, von Brown, um, yeah, took, you know, a small guy, was like, we've got to be captured
315
00:28:18,160 --> 00:28:21,160
 by the Americans.
316
00:28:21,160 --> 00:28:25,000
 And, uh, in fact, the SS was under orders to execute
317
00:28:25,319 --> 00:28:29,440
 Bonn Brown and all of the German rock conditioners.
318
00:28:30,759 --> 00:28:33,200
 And they narrowly escaped
319
00:28:33,200 --> 00:28:36,640
 their SSI that they said they were going out for a walk in the woods
320
00:28:36,640 --> 00:28:39,039
 they left in the middle of winter with no coats
321
00:28:39,039 --> 00:28:42,720
 uh... and they ran like ever no food no coast no water and just ran like hell no food, no coast, no water.
322
00:28:42,720 --> 00:28:46,200
 And just ran like hell, and ran west.
323
00:28:46,200 --> 00:28:51,000
 And by sheer, like, their brother found like a bicycle or something.
324
00:28:51,000 --> 00:28:56,000
 And they just cycled west as fast so he couldn't have found a U.S.
325
00:28:56,000 --> 00:28:57,000
 patrol.
326
00:28:57,000 --> 00:29:03,160
 So, anyway, that's one way you can tell.
327
00:29:03,160 --> 00:29:07,000
 Morality is, where do you want to be a PW?
328
00:29:07,000 --> 00:29:10,279
 It's not fun anywhere, but some places are much worse than others.
329
00:29:10,279 --> 00:29:19,200
 So, anyway, so, like America has been, well, far from perfect, generally a benevolent
330
00:29:19,200 --> 00:29:21,359
 force.
331
00:29:21,359 --> 00:29:27,000
 And we should always be self-critical. And we should always be self-critical and we try to be better.
332
00:29:27,000 --> 00:29:31,000
 But anyone with half the right knows that.
333
00:29:31,000 --> 00:29:36,960
 So I think there are in this way China and the United States are
334
00:29:36,960 --> 00:29:46,000
 similar. Neither country has been acquisitive in a significant way. So that's like a, you know, a shared principle, I guess.
335
00:29:46,000 --> 00:29:51,000
 Now China does feel very strongly about Taiwan.
336
00:29:51,000 --> 00:29:54,319
 They've been very clear about that for a long time.
337
00:29:55,279 --> 00:30:01,920
 You know, from this down point, it's it's it would be like one of the states as is, you know,
338
00:30:02,240 --> 00:30:06,880
 not there, like Hawaii or something like that, but more significant than Hawaii,
339
00:30:06,880 --> 00:30:07,880
 you know.
340
00:30:07,880 --> 00:30:11,759
 And Hawaii is pretty significant for us.
341
00:30:11,759 --> 00:30:27,000
 So they view it as really the, that there's a fundamental part of China, the island of Formosa, not Taiwan, that is not part of China but should be.
342
00:30:27,000 --> 00:30:31,000
 And the only reason it hasn't been is because the U.S. Pacific Fleet.
343
00:30:31,000 --> 00:30:34,920
 And is their economic power grows, then is their economic power grows and is their military power
344
00:30:34,920 --> 00:30:46,000
 grows? The thing that they are clearly saying is their interest will, you know, clearly be materialized.
345
00:30:46,000 --> 00:30:47,000
 Yes.
346
00:30:47,000 --> 00:30:59,599
 China has been very clear that they will incorporate Taiwan peacefully or militarily, but that they will incorporate
347
00:30:59,599 --> 00:31:03,000
 it from their standpoint is 100% likely.
348
00:31:03,000 --> 00:31:07,000
 You know, something you said about conspicuous acts of kindness.
349
00:31:07,000 --> 00:31:11,000
 As a geopolitical policy, it almost seems naive.
350
00:31:11,000 --> 00:31:20,000
 But I'd venture to say that this is probably the path forward, how you will avoid most wars.
351
00:31:20,000 --> 00:31:24,000
 Just as you say it, it sounds naive, but it's kind of brilliant.
352
00:31:25,000 --> 00:31:32,000
 If you believe in the goodness of underlying most of human nature, it just seems like
353
00:31:32,000 --> 00:31:37,079
 conspicuous acts of kindness can reverberate
354
00:31:37,079 --> 00:31:50,000
 through the populace of the countries involved. Yeah, well... And de-escalate. Absolutely, so after World War I, they made a big mistake,
355
00:31:50,000 --> 00:31:59,359
 you know, they basically tried to lump all the blame on Germany and and you know,
356
00:31:59,359 --> 00:32:08,880
 settle Germany with impossible reparations. And you know really there was a lot of blame to
357
00:32:08,880 --> 00:32:17,000
 go around for World War I but they try to put it all in Germany.
358
00:32:17,000 --> 00:32:23,000
 And that was, that laid the seeds for World War II.
359
00:32:25,000 --> 00:32:30,000
 So, it said a lot of people, not just Hitler, a lot of people felt wronged.
360
00:32:30,000 --> 00:32:35,000
 And they wanted vengeance.
361
00:32:37,000 --> 00:32:38,000
 And they got it.
362
00:32:38,000 --> 00:32:39,000
 People don't forget.
363
00:32:39,000 --> 00:32:41,000
 Yeah.
364
00:32:41,000 --> 00:32:47,000
 You kill somebody's father, mother, son, daughter, they're not going to forget it.
365
00:32:47,000 --> 00:32:49,000
 They will want vengeance.
366
00:32:49,000 --> 00:32:55,000
 So after World War II, they're like, well, that treat of Versailles was a huge mistake,
367
00:32:55,000 --> 00:32:57,000
 rule of war one.
368
00:32:57,000 --> 00:33:07,759
 And so this time, instead of, you know, crushing the losers, we're actually going to help
369
00:33:07,759 --> 00:33:14,000
 them with the Marshall Plan and we're going to help rebuild Germany. We're going to help rebuild Germany.
370
00:33:14,000 --> 00:33:20,000
 We're going to help rebuild Austria and the other people, you know, Italy and whatnot.
371
00:33:20,000 --> 00:33:25,599
 So, um, that was the right move.
372
00:33:26,599 --> 00:33:32,000
 There's a, it does feel like there's a profound truth to a
373
00:33:37,000 --> 00:33:41,000
 conspicuous acts of kind as being an antidote to this. Something must stop the cycle of reciprocal violence.
374
00:33:41,000 --> 00:33:47,000
 Something will stop it. Or it will, you know, it'll never stop.
375
00:33:47,000 --> 00:33:48,000
 Just...
376
00:33:48,000 --> 00:33:57,000
 Eye for an eye, tooth for a tooth, limb for a limb, life for a life, forever and ever.
377
00:33:57,000 --> 00:34:01,000
 To escape briefly, the darkness was some incredible engineering work.
378
00:34:01,000 --> 00:34:07,000
 X-AI just released Groc AI assistant that I've gotten a chance to play with.
379
00:34:07,000 --> 00:34:08,000
 It's amazing on many levels.
380
00:34:08,000 --> 00:34:15,000
 First of all, it's amazing that a relatively small team in a relatively short amount of time was able to develop
381
00:34:15,000 --> 00:34:21,280
 this close to state-of-the-art system. Another incredible things, there's a
382
00:34:21,280 --> 00:34:24,559
 regular mode and there's a fun mode. Yeah, I guess I'm to play for that one.
383
00:34:24,559 --> 00:34:29,840
 Yeah. I wish it, first of all, I wish everything in life had a fun mode. Yeah.
384
00:34:29,840 --> 00:34:38,000
 I did there's something compelling beyond just fun about the fun mode interacting with a large language model
385
00:34:38,000 --> 00:34:42,000
 I'm not sure exactly what it is because I only have had a little bit of time to play with it,
386
00:34:42,000 --> 00:34:46,400
 but it just makes it more interesting, more vibrant
387
00:34:46,400 --> 00:34:47,800
 to interact with the system.
388
00:34:47,800 --> 00:34:48,800
 Yeah.
389
00:34:48,800 --> 00:34:49,800
 Absolutely.
390
00:34:49,800 --> 00:35:00,320
 I, um, our, our, our, our, uh, our, I. Our AI Grock is modeled after the Hitchhiker Guide to the Galaxy, which is one of my favorite
391
00:35:00,320 --> 00:35:07,360
 books, which is a book on philosophy, disguises a book on humor.
392
00:35:07,360 --> 00:35:16,840
 And I would say that is that forms the basis of my philosophy, which is that we don't know the meaning of life, but
393
00:35:16,840 --> 00:35:27,519
 the more we can expand the scope and scale of consciousness, digital and biological, the more we are able to understand what questions to ask about
394
00:35:27,519 --> 00:35:30,239
 the answer that is the universe.
395
00:35:30,239 --> 00:35:34,079
 So I have a philosophy of curiosity.
396
00:35:41,119 --> 00:35:42,000
 There is generally a feeling like this AI system has an outward looking.
397
00:35:44,800 --> 00:35:50,000
 Like the way you are like sitting with a good friend looking up at the stars like the asking podhead like questions about the universe wondering
398
00:35:50,000 --> 00:35:54,119
 what it's all about the curiosity you talktalk about. There's a sense, no matter how mundane
399
00:35:54,119 --> 00:35:58,920
 the question I ask it, there's a sense of cosmic grandeur to the whole thing.
400
00:35:58,920 --> 00:36:07,000
 Well, we are actually working hard to have engineering, math, and physics answers that you can count on.
401
00:36:07,000 --> 00:36:16,159
 So for the other sort of AIs out there, what is these so-called large language models,
402
00:36:16,159 --> 00:36:28,320
 I've not found the engineering to be reliable. And it the hallucination, it unfortunately hallucinates most when you at least wanted to hallucinate.
403
00:36:28,320 --> 00:36:36,480
 So when you ask important difficult questions, that that's when it tends to be confidently wrong.
404
00:36:36,480 --> 00:36:42,280
 So we're really trying hard to say, okay, how do we be as grounded as possible so you
405
00:36:42,280 --> 00:36:43,360
 can count on the results.
406
00:36:43,360 --> 00:36:48,079
 I trace things back to physics, first principles,
407
00:36:48,079 --> 00:36:59,000
 mathematical logic. So underlying the humor is an aspiration to adhere to the truth of the universe as
408
00:36:59,000 --> 00:37:01,639
 closely as possible.
409
00:37:01,639 --> 00:37:08,239
 That's really tricky. It is tricky. So that's why, you know, there's always going to
410
00:37:08,239 --> 00:37:20,599
 be some amount of error, but do we want to aspire to be as truthful as possible about the answers with acknowledged error.
411
00:37:20,599 --> 00:37:23,519
 So that there was always, you don't want to be confidently wrong.
412
00:37:23,519 --> 00:37:29,119
 So you're not going to be right every time, but you want to minimize half when you're
413
00:37:29,119 --> 00:37:31,119
 confidently wrong.
414
00:37:31,119 --> 00:37:38,960
 And then like I said, once you can count on the logic as being not violating physics,
415
00:37:39,840 --> 00:37:45,199
 then you can start to build on that to create inventions, like invent new technologies.
416
00:37:46,159 --> 00:37:53,360
 But if you can't count on the foundational physics being correct. Obviously the inventions are
417
00:37:53,360 --> 00:38:01,000
 simply wishful thinking, you know, imagination land. Magic, basically.
418
00:38:01,000 --> 00:38:06,000
 Well, as you said, I think one of the big goals of X-AI is to understand the universe.
419
00:38:06,000 --> 00:38:08,000
 Yes.
420
00:38:08,000 --> 00:38:17,280
 That's a simple three-word mission. If you look out far into the future do you think on this level of
421
00:38:17,280 --> 00:38:20,679
 physics the very edge of what we understand about physics do you think it
422
00:38:20,679 --> 00:38:25,719
 will make discoveries sort of the sexiest discovery of them as as we know
423
00:38:25,719 --> 00:38:31,039
 now sort of unifying general relativity and quantum mechanics so coming up
424
00:38:31,039 --> 00:38:35,480
 with a theory of everything you think it could push towards that direction,
425
00:38:35,480 --> 00:38:37,599
 almost like theoretical physics discoveries?
426
00:38:37,599 --> 00:38:44,000
 If an AI cannot figure out new physics, it's clearly not equal to humans,
427
00:38:44,000 --> 00:38:48,000
 nor has surpassed humans because humans have figured out new physics.
428
00:38:48,000 --> 00:38:51,000
 You know, physics is just understanding, you know,
429
00:38:51,000 --> 00:38:54,000
 deepening what's inside into how reality works.
430
00:38:54,000 --> 00:39:01,000
 And then, then this engineering, which is inventing things that have never existed.
431
00:39:01,000 --> 00:39:04,159
 Now, the range of possibilities for engineering is far greater than for
432
00:39:04,159 --> 00:39:08,760
 physics because you know we once you figure out the rules of the universe that
433
00:39:08,760 --> 00:39:15,760
 that's that you've discovered things that already existed. But from that, you can then build technologies
434
00:39:15,760 --> 00:39:21,760
 that are really almost limitless in the variety.
435
00:39:21,760 --> 00:39:26,280
 And it's like, once you understand the rules of the game properly.
436
00:39:26,280 --> 00:39:30,800
 And we do, with current physics, we do, at least at a local level, understand how physics
437
00:39:30,800 --> 00:39:32,400
 works very well.
438
00:39:32,400 --> 00:39:32,500
 Our ability to predict things is incredibly good. how physics works very well.
439
00:39:32,500 --> 00:39:35,440
 We are really to predict things is incredibly good.
440
00:39:35,440 --> 00:39:38,360
 Like quantum mechanics is, the degree to which quantum mechanics
441
00:39:38,360 --> 00:39:41,159
 can't predict outcomes is incredible.
442
00:39:42,440 --> 00:39:45,000
 That was my hardest class in college, by the way.
443
00:39:45,000 --> 00:39:50,000
 My senior quantum mechanics class was harder than all of my other classes put together.
444
00:39:50,000 --> 00:39:58,880
 To get an AI system, a large language model to reliably, be as reliable as quantum mechanics
445
00:39:58,880 --> 00:40:00,880
 and physics is very difficult.
446
00:40:00,880 --> 00:40:04,679
 Yeah, you have to test any conclusions against the ground truth of
447
00:40:04,679 --> 00:40:07,840
 reality. Reality is the ultimate judge. Like physics is the law everything else
448
00:40:07,840 --> 00:40:15,400
 is a recommendation. I've seen plenty of people break the laws made by man, but none break the laws made by physics.
449
00:40:15,400 --> 00:40:17,079
 It's a good test, actually.
450
00:40:17,079 --> 00:40:26,320
 If this LM understands and matches physics, then you can more reliably trust whatever it thinks about the current state of politics
451
00:40:27,079 --> 00:40:38,559
 in some sense. And it's also not the case currently that even that its internal logic is not consistent. So especially with these,
452
00:40:38,559 --> 00:40:45,320
 with the approach of like just predicting a token, predict, token, predict, predict token it's like a vector sum you
453
00:40:45,320 --> 00:40:49,960
 know you're summing up a bunch of vectors you can get drift so as those a
454
00:40:49,960 --> 00:40:53,000
 little bit of error a little bit of error adds up.
455
00:40:53,000 --> 00:40:57,000
 And by the time you are many tokens down the path,
456
00:40:57,000 --> 00:40:59,000
 it doesn't make any sense.
457
00:40:59,000 --> 00:41:02,000
 So it has to be somehow self-aware about the drift?
458
00:41:02,000 --> 00:41:02,800
 It has to be self-aware about the drift.
459
00:41:02,800 --> 00:41:07,519
 It has to be self-aware about the drift and then look at the thing as a gestalt as a
460
00:41:07,519 --> 00:41:18,760
 whole and say it does have coherence as a whole. So, you know, when authors write books, they
461
00:41:18,760 --> 00:41:25,280
 they will write the book and then they'll go and revise it, you know, to take into account, you know, all the
462
00:41:25,280 --> 00:41:30,639
 the end and the beginning and the middle and rewrite it to achieve coherence.
463
00:41:30,639 --> 00:41:33,000
 So that it doesn't end up in a nonsensical place.
464
00:41:33,000 --> 00:41:37,000
 Maybe the process of revising is what reasoning is.
465
00:41:37,000 --> 00:41:41,000
 Yeah. Reasoning is, and then that's, the process of revising is how you get closer to truth.
466
00:41:41,000 --> 00:41:44,880
 Maybe you, like, at least I approach it that way.
467
00:41:44,880 --> 00:41:48,440
 You just say a bunch of bullshit first and then you get it better. You start a
468
00:41:48,440 --> 00:41:52,079
 bullshit and then you get a draft and then you and then you iterate on that draft
469
00:41:52,079 --> 00:41:55,840
 until it has coherence until it's
470
00:41:55,840 --> 00:42:01,440
 it all adds up basically. So another question about theory of everything but for
471
00:42:01,440 --> 00:42:04,920
 intelligence. Do you think there exists as you're
472
00:42:04,920 --> 00:42:07,679
 exploring this with X-AI creating this intelligence system do you think
473
00:42:07,679 --> 00:42:20,679
 there is a theory of intelligence but you get to understand what, like, what is the eye in AGI and what is the eye in human
474
00:42:20,679 --> 00:42:21,679
 intelligence?
475
00:42:21,679 --> 00:42:26,000
 There's no eye in Team America. Oh wait there is.
476
00:42:26,000 --> 00:42:35,000
 Ah, you know, it's going to be stuck in my head now. Yeah. There's no me and whatever.
477
00:42:35,000 --> 00:42:38,000
 In quantum mechanics, oh wait.
478
00:42:38,000 --> 00:42:45,920
 I mean, is that part of the process of discovering understanding the universe is understanding
479
00:42:45,920 --> 00:42:46,920
 intelligence?
480
00:42:46,920 --> 00:42:47,920
 Yeah.
481
00:42:47,920 --> 00:42:57,159
 Yeah, I think we need to understand intelligence understand consciousness. I mean I there I mean there are some sort of fundamental questions of like
482
00:42:57,880 --> 00:43:01,360
 what is thought what is emotion? Yeah
483
00:43:06,079 --> 00:43:11,800
 Is it really just one atom bumping into another atom? It feels like something more than that. So I think we're probably missing some
484
00:43:11,800 --> 00:43:13,360
 really big things.
485
00:43:15,920 --> 00:43:17,519
 Like some really big things.
486
00:43:18,480 --> 00:43:20,639
 Something that will be obvious in retrospect.
487
00:43:20,639 --> 00:43:21,639
 Yes.
488
00:43:21,639 --> 00:43:25,519
 Like there's a giant. You put the whole consciousness, emotion.
489
00:43:25,519 --> 00:43:29,960
 Well some people would call it like a like a soul, you know, religion spirit, a soul.
490
00:43:29,960 --> 00:43:36,639
 Like you feel like you're you, right? I mean you don't feel like you're just a
491
00:43:36,639 --> 00:43:42,400
 collection of atoms. But on what dimension does thought exist? What dimension
492
00:43:42,400 --> 00:43:45,000
 does do emotions exist? We feel them very strongly.
493
00:43:45,000 --> 00:43:50,000
 I suspect there's more to it than atoms bump into atoms.
494
00:43:50,000 --> 00:43:57,000
 And maybe AI can pave the path through the discovery, whatever the hell that thing is.
495
00:43:57,000 --> 00:44:06,440
 Yeah, what is consciousness? Like what are, when you put the atoms in a particular shape, why are they able to form thoughts and take
496
00:44:06,440 --> 00:44:10,280
 actions and feelings?
497
00:44:10,280 --> 00:44:13,280
 And even if it is an illusion, why is this illusion so compelling?
498
00:44:13,280 --> 00:44:14,280
 Yeah.
499
00:44:14,280 --> 00:44:16,280
 Like how does this illusion exist?
500
00:44:16,280 --> 00:44:17,280
 Yeah.
501
00:44:17,280 --> 00:44:21,599
 On what plane does this illusion exist?
502
00:44:21,599 --> 00:44:29,000
 Yeah. And sometimes I wonder is, you know, either perhaps everything's conscious or nothing is conscious.
503
00:44:31,000 --> 00:44:32,000
 One of the two.
504
00:44:32,000 --> 00:44:34,000
 I like the former.
505
00:44:34,000 --> 00:44:37,000
 Everything conscious just seems more fun.
506
00:44:37,000 --> 00:44:39,000
 It just seems more fun, yes.
507
00:44:39,000 --> 00:44:45,199
 But we're composed of atoms, and those atoms are composed of quarks and leptons.
508
00:44:45,199 --> 00:44:50,119
 And those clocks and leptons have been around since the beginning of the universe.
509
00:44:50,119 --> 00:44:53,000
 The beginning of the universe. Right. What seems to be the beginning of the universe.
510
00:44:53,000 --> 00:44:54,000
 Right.
511
00:44:54,000 --> 00:44:55,599
 What seems to be the beginning of the universe?
512
00:44:55,599 --> 00:45:00,440
 The first time we talked, you said, which is surreal to think that this discussion was
513
00:45:00,440 --> 00:45:04,679
 happening is becoming a reality. I asked you what question would
514
00:45:04,679 --> 00:45:08,119
 you ask an AGI system once you create it and you said what's outside the
515
00:45:08,119 --> 00:45:19,239
 simulation is the question. Good question. But it seems like with Grock, you started to, literally, the system's goal
516
00:45:19,239 --> 00:45:24,000
 is to be able to ask such questions, to answer such questions and ask such questions.
517
00:45:24,000 --> 00:45:25,000
 Where are the aliens?
518
00:45:25,000 --> 00:45:26,000
 Where are the aliens?
519
00:45:26,000 --> 00:45:30,000
 That's one of the, like the Fermi paradox question.
520
00:45:30,000 --> 00:45:35,039
 A lot of people have asked me if I've seen any evidence of aliens and I haven't, which
521
00:45:35,039 --> 00:45:41,079
 is kind of concerning because then I think would, I'd probably prefer to at least have
522
00:45:41,079 --> 00:45:44,440
 seen some archaeological evidence of aliens.
523
00:45:44,440 --> 00:45:50,320
 To the best of my knowledge, there is no proof, I'm not aware of any evidence of aliens.
524
00:45:50,320 --> 00:45:56,000
 If they're out there, they're very subtle. We might just be the only consciousness, at least in the galaxy.
525
00:45:56,000 --> 00:46:01,000
 And if you look at, say, the history of Earth,
526
00:46:01,000 --> 00:46:06,239
 for us to believe the archaeological record, Earth is about 4.5 billion years old.
527
00:46:06,239 --> 00:46:11,920
 Civilization, as measured from the first writing, is only about 5,000 years old.
528
00:46:11,920 --> 00:46:14,239
 We have to give some credit there to the ancient Samarians who aren't
529
00:46:14,239 --> 00:46:21,440
 around anymore. I think it was an archaic, pre-k uniform was the first actual symbolic representation,
530
00:46:21,440 --> 00:46:26,400
 but only about 5,000 years ago. I think that's a good date for
531
00:46:26,400 --> 00:46:34,800
 when we say civilization started. That's one millionth of Earth's existence.
532
00:46:38,239 --> 00:46:40,079
 So civilization has been around, it's really a flash in the pan.
533
00:46:55,000 --> 00:47:07,000
 And so far. And why have we, why did it take so long for, you know, for one half billion years. For the vast majority of the time, there was no life, and then there was archaic bacteria for a very long time. And then, you know,
534
00:47:07,000 --> 00:47:13,000
 you had mitochondria get captured, multicellular life,
535
00:47:13,000 --> 00:47:18,000
 differentiation into plants and animals,
536
00:47:18,000 --> 00:47:20,000
 life moving from the oceans to land,
537
00:47:20,000 --> 00:47:32,320
 mammals, higher brain functions, and the sun is expanding slowly, but it will
538
00:47:32,320 --> 00:47:36,000
 overheat the earth up.
539
00:47:36,000 --> 00:47:37,000
 It will heat the earth up.
540
00:47:37,000 --> 00:47:39,000
 It's at some point in the future.
541
00:47:39,000 --> 00:47:42,000
 Boil the oceans and earth will become like Venus.
542
00:47:42,000 --> 00:47:46,239
 Where life, life as we know, it is impossible.
543
00:47:46,239 --> 00:47:57,000
 So if we do not become multiplanetary, and ultimately go beyond our solar system, annihilation of all life on Earth is a certainty.
544
00:47:57,000 --> 00:47:59,000
 It's certainty.
545
00:47:59,000 --> 00:48:09,760
 And it could be as little as on the galactic time scale, half a billion years.
546
00:48:09,760 --> 00:48:14,639
 You know, long time by human standards, but that's only 10% longer than Earth has been
547
00:48:14,639 --> 00:48:21,920
 around at all. So if life had taken 10% longer to evolve on Earth, it
548
00:48:21,920 --> 00:48:23,360
 wouldn't exist at all.
549
00:48:27,199 --> 00:48:28,639
 We've got a deadline coming up.
550
00:48:29,320 --> 00:48:30,119
 Yeah, better hurry.
551
00:48:30,239 --> 00:48:37,559
 But that said, as you said, said humans intelligent life on earth developed a lot of cool stuff very quickly
552
00:48:38,039 --> 00:48:44,000
 So yes, it seems like becoming a multiponetary is almost inevitable.
553
00:48:44,960 --> 00:48:45,840
 Unless we destroy this time.
554
00:48:45,840 --> 00:48:51,679
 We need to do it. I mean, it's not, I mean, I suspect that they're,
555
00:48:55,920 --> 00:49:00,800
 if we are able to go out there and explore other star systems, that we, there's a good chance we find a whole bunch of long dead one planet civilizations.
556
00:49:00,800 --> 00:49:01,800
 Yeah.
557
00:49:01,800 --> 00:49:05,199
 They never made it past their home planet. That's so sad. Yeah.
558
00:49:05,199 --> 00:49:09,599
 It's sad. Also fascinating. I mean there are various explanations for those
559
00:49:09,599 --> 00:49:15,519
 per me paradox and one is just the sort of, there's these great filters which civilizations
560
00:49:15,519 --> 00:49:19,599
 don't pass through and one of those great filters is do you become a
561
00:49:19,599 --> 00:49:25,280
 multi-planet civilization or not and if you don't it's simply a matter of time before something happens
562
00:49:25,280 --> 00:49:36,639
 on your planet, you know, either natural man-made, that causes us to die out like the dinosaurs. Where are they now?
563
00:49:38,320 --> 00:49:41,119
 That didn't have spaceships. So.
564
00:49:42,159 --> 00:49:47,679
 I think the more likely thing is because just to empathize with the aliens
565
00:49:47,679 --> 00:49:51,840
 that they found us and they're protecting us and letting us be. I hope so.
566
00:49:51,840 --> 00:49:54,840
 Nice aliens. Just like the tribes in the
567
00:49:54,840 --> 00:50:00,760
 Amazon, they on contact the tribes were protecting them. That would be a nice explanation.
568
00:50:00,760 --> 00:50:06,599
 Or you could have like, what was it? I think Andre Kapathi said it's like the ants
569
00:50:06,599 --> 00:50:11,920
 and the Amazon asking, where is everybody? Well they do run into a lot of other ants.
570
00:50:11,920 --> 00:50:14,000
 That's true.
571
00:50:14,000 --> 00:50:16,000
 They have these ant wars.
572
00:50:16,000 --> 00:50:18,000
 Sounds like a good TV show.
573
00:50:18,000 --> 00:50:21,000
 Yeah, they literally have this big wars between various ants.
574
00:50:21,000 --> 00:50:27,280
 Yeah, maybe I'm just dismissing all the different diversity of ants.
575
00:50:27,280 --> 00:50:30,559
 You should listen to that Werner Hursog talking about the jungle. It's really
576
00:50:30,559 --> 00:50:32,960
 hilarious. Have you heard it? No I have not but we're in
577
00:50:32,960 --> 00:50:40,920
 Herzog as a way. You should play it for the you know as an interlude in the
578
00:50:40,920 --> 00:50:44,000
 yeah it's on, it's awesome.
579
00:50:44,000 --> 00:50:46,000
 I love him so much.
580
00:50:46,000 --> 00:50:47,000
 Yeah.
581
00:50:47,000 --> 00:50:48,000
 Great.
582
00:50:48,000 --> 00:50:51,000
 We see the director of Happy People Life in the Daiga, I think also.
583
00:50:51,000 --> 00:50:52,000
 He did that bear documentary?
584
00:50:52,000 --> 00:50:53,000
 The bear documentary. The bear documentary?
585
00:50:53,000 --> 00:50:55,000
 And to this thing about penguins.
586
00:50:55,000 --> 00:50:56,000
 Yeah.
587
00:50:56,000 --> 00:51:00,000
 The depression, the psychoanalysis of the penguin.
588
00:51:00,000 --> 00:51:08,000
 Yeah, the penguins like headed for like the mountains like that are like 70 miles away. Yeah penguin is just headed for doom basically
589
00:51:08,400 --> 00:51:18,800
 Well, he was had a cynical take. I have a he could be just a brave explorer and there will be great stories told about him amongst the penguin population for many
590
00:51:19,320 --> 00:51:21,320
 centuries to come
591
00:51:32,119 --> 00:51:38,079
 What we're talking about? Okay. Yes, aliens. I mean, I don't know, look, I think the smart move is just, you know, this is the first time in
592
00:51:38,079 --> 00:51:48,800
 the history of Earth that it's been possible for life to extend beyond Earth. That window is open. Now it may be open for a long time or
593
00:51:48,800 --> 00:51:56,880
 maybe open for a short time. And it may be open now and then never open again. So I think the smart move here
594
00:51:56,880 --> 00:52:02,079
 is to make life multi-planetary while it is possible to do so. We don't want to be one
595
00:52:02,079 --> 00:52:02,880
 of those lame one planet
596
00:52:02,880 --> 00:52:06,079
 civilizations. No, it just dies out. No, those are lame.
597
00:52:06,079 --> 00:52:08,960
 Yeah, lame.
598
00:52:08,960 --> 00:52:12,159
 That's self-respecting civilization would be one planet. There's not going to be a
599
00:52:12,159 --> 00:52:13,760
 Wikipedia entry for one of those.
600
00:52:13,760 --> 00:52:27,000
 And pause. The SpaceX have an official policy for when we meet aliens. No. Okay. That seems irresponsible.
601
00:52:27,000 --> 00:52:35,679
 I mean, look, if I see the slightest indication that there are aliens, I will immediately
602
00:52:35,679 --> 00:52:36,679
 post on the X-platform.
603
00:52:36,679 --> 00:52:37,679
 Yeah.
604
00:52:37,679 --> 00:52:38,679
 Anything I know.
605
00:52:38,679 --> 00:52:45,599
 It could be the most liked reposted post of all time. Yeah, I mean look we have more satellites up there
606
00:52:45,599 --> 00:52:50,679
 right now than everyone else combined. So you know we'd know we know if we got
607
00:52:50,679 --> 00:52:54,400
 a maneuver around something and we're not that I don't have to maneuver around anything.
608
00:52:54,400 --> 00:53:03,000
 If you go to the big questions once again, you said you've, you're with Einstein that you believe in the goddess Pinosa.
609
00:53:03,000 --> 00:53:05,000
 Ha ha ha ha. Yes.
610
00:53:05,000 --> 00:53:12,000
 So, you know, that's a view that God is like the universe and reveals himself through the laws of physics
611
00:53:12,000 --> 00:53:15,440
 or as Einstein said, through the lawful harmony of the world.
612
00:53:15,840 --> 00:53:28,599
 Yeah, I would agree like that God of the simulator or whatever the supreme beings reveal themselves through the physics.
613
00:53:28,599 --> 00:53:31,320
 They have creators of this existence.
614
00:53:31,320 --> 00:53:37,000
 And it's incumbent upon us to try to understand more about this wondrous creation.
615
00:53:37,000 --> 00:53:41,000
 Like, who created this thing, who's running this thing?
616
00:53:41,000 --> 00:53:45,840
 Like, embodying it into a singular question with a sexy word on top of it is
617
00:53:45,840 --> 00:53:51,119
 like focusing the mind to understand. It does seem like there's a, again it could be an
618
00:53:51,119 --> 00:53:57,400
 illusion, it seemed like there's a purpose that there's an underlying master plan of some kind.
619
00:53:57,400 --> 00:53:58,960
 It seems like...
620
00:53:58,960 --> 00:54:01,599
 There may not be a master plan in the sense.
621
00:54:01,599 --> 00:54:05,519
 So there's, like, maybe an interesting answer to the question of
622
00:54:05,519 --> 00:54:11,360
 determinism versus free will is that if we are in a simulation, the reason that
623
00:54:11,360 --> 00:54:17,000
 these higher beings would hold a simulation is to see what happens.
624
00:54:17,000 --> 00:54:21,000
 So it's not a... they don't know what happens.
625
00:54:21,000 --> 00:54:27,440
 Otherwise they wouldn't hold the simulation. So when humans create a simulation,
626
00:54:27,440 --> 00:54:36,880
 so it's SpaceX and Tesla, we create simulations all the time. Especially for the rocket, you know, you have to run a lot of
627
00:54:36,880 --> 00:54:40,199
 simulations to understand what's going to happen because you can't really
628
00:54:40,199 --> 00:54:46,079
 test the rocket until it goes to space and you want it to work. So you have to simulate
629
00:54:47,280 --> 00:54:55,000
 subsonic, trans, hypersonic, hypersonic, ascent, and then coming back,
630
00:54:55,159 --> 00:54:59,159
 super high heating and orbital dynamics.
631
00:54:59,159 --> 00:55:00,400
 All this is gonna be simulated.
632
00:55:00,400 --> 00:55:04,000
 So, because you don't get very many kicks at the can.
633
00:55:04,000 --> 00:55:06,000
 But we run the simulations to see what happens.
634
00:55:06,000 --> 00:55:09,000
 Not if we knew what happens, we wouldn't run the simulation.
635
00:55:09,000 --> 00:55:13,440
 So if there's, so whoever created this existence,
636
00:55:16,440 --> 00:55:18,400
 they're running it because they don't know
637
00:55:18,400 --> 00:55:20,599
 what's gonna happen, not because they do.
638
00:55:28,039 --> 00:55:34,599
 So maybe we both play Diablo maybe Diablo was created to see if a Druid your character could defeat Uber Lilith at the end, they didn't know.
639
00:55:34,599 --> 00:55:38,119
 Well, the funny thing is that Uber Lilith's,
640
00:55:38,119 --> 00:55:40,679
 the title is, hatred incarnate.
641
00:55:40,679 --> 00:55:55,000
 Yeah. And right now, I guess, you can ask the Diablo team, but it's almost impossible to defeat hatred in the eternal realm.
642
00:55:55,000 --> 00:55:59,159
 Yeah, you've streamed yourself dominating tier 100 nightmare
643
00:55:59,159 --> 00:56:00,840
 dungeons and still.
644
00:56:00,840 --> 00:56:05,760
 I can cruise through tier 100 nightmare dungeons like a stroll in the park.
645
00:56:05,760 --> 00:56:08,960
 And still you're defeated by hatred.
646
00:56:08,960 --> 00:56:10,159
 Yeah, I can...
647
00:56:10,159 --> 00:56:13,500
 This sort of, I guess, maybe the second hardest boss is Durial.
648
00:56:14,199 --> 00:56:19,679
 Durial can't even scratch the paint. So I killed Deryl's Duryl so many times.
649
00:56:20,400 --> 00:56:24,000
 And every other boss in the game, all of them kill him so many times, it's easy.
650
00:56:26,000 --> 00:56:35,039
 But Uvalulith, other than as hatred incarnate, especially if you're a druid and you have no ability to go and to be
651
00:56:35,039 --> 00:56:39,440
 vulnerable. You there are these random death waves that come at you.
652
00:56:42,079 --> 00:56:47,000
 And I'm pretty, you know, I really am 52, so my reflex is not what they used to be, but
653
00:56:47,000 --> 00:56:51,000
 I have a lifetime of playing video games.
654
00:56:51,000 --> 00:56:55,000
 At one point I was, you know, maybe one of the best quake players in the world,
655
00:56:55,000 --> 00:57:02,000
 actually won money for, and again, what I think was the first paid e-sports tournament in the US.
656
00:57:02,000 --> 00:57:08,320
 We were doing four-person quake tournaments and
657
00:57:08,320 --> 00:57:14,199
 we came second. I was the second best person on the team and the actual best person that we're actually winning
658
00:57:14,199 --> 00:57:16,800
 we were going to come first except the best person on the team his computer
659
00:57:16,800 --> 00:57:23,280
 crashed halfway through the game so we came second but I got money for it and everything.
660
00:57:23,280 --> 00:57:24,480
 So like basically I got skills.
661
00:57:24,480 --> 00:57:27,519
 I'll be at, you know, no, no spring,
662
00:57:27,519 --> 00:57:28,639
 spring chicken these days.
663
00:57:28,639 --> 00:57:34,000
 And the, to be totally Frank, it's driving me crazy.
664
00:57:34,000 --> 00:57:36,440
 Trying to beat Lilith as a druid.
665
00:57:36,440 --> 00:57:39,519
 Basically, try to beat hatred and incarnate
666
00:57:39,519 --> 00:57:41,079
 in the eternal realm.
667
00:57:41,079 --> 00:57:42,079
 As a druid.
668
00:57:42,079 --> 00:57:46,000
 As a druid. If you, if you, if you, this is really
669
00:57:46,000 --> 00:57:51,519
 fixing, let me tell you. I mean the challenge is part of the fun. I have seen
670
00:57:51,519 --> 00:57:54,840
 directly like you're actually like a world-class
671
00:57:54,840 --> 00:57:59,559
 incredible video game player. Yeah. And I think Diablo, so you're just picking up a
672
00:57:59,559 --> 00:58:04,480
 new game and you're figuring out as fundamentals. You're also with the Paragon Board
673
00:58:04,480 --> 00:58:10,480
 and the build are not somebody like me who perfectly follows whatever they
674
00:58:10,480 --> 00:58:14,000
 suggest on the internet. You're also an innovator there.
675
00:58:14,000 --> 00:58:15,000
 Yeah.
676
00:58:15,000 --> 00:58:17,000
 Which is hilarious to watch.
677
00:58:17,000 --> 00:58:22,000
 It's like a mad scientist just trying to figure out the Paragon Board and the build and the
678
00:58:22,000 --> 00:58:22,679
 one. You know, is there some interesting insights that figure out the Paragon board and the build and the building.
679
00:58:22,679 --> 00:58:27,480
 You know, is there some interesting insights there about if somebody's starting as a
680
00:58:27,480 --> 00:58:30,559
 druid, do you have a device?
681
00:58:30,559 --> 00:58:34,000
 I would not recommend playing a druid in the Eternal Realm.
682
00:58:34,000 --> 00:58:41,000
 Right now, I think the most powerful character in the seasonal realm is the sorcerer with the lightning balls.
683
00:58:41,000 --> 00:58:45,599
 The socks have huge balls in the seasonal.
684
00:58:45,599 --> 00:58:49,599
 Well, yeah. That's what they say.
685
00:58:49,599 --> 00:58:53,000
 Soaks have huge poles. They do.
686
00:58:53,000 --> 00:58:54,000
 Huge balls of lightning.
687
00:58:54,000 --> 00:58:56,000
 I'll take your word for it.
688
00:58:56,000 --> 00:59:01,000
 And it's actually, in the seasonal realm, you can, you can, it's like pretty easy to beat
689
00:59:01,000 --> 00:59:04,400
 Uverloath with the, because you get these vampiric powers
690
00:59:04,400 --> 00:59:11,880
 that outlify your damage and increase your defense and whatnot so but really
691
00:59:11,880 --> 00:59:17,000
 quite easy to defeat hatred seasonally, but to defeat hatred eternally, it's
692
00:59:17,000 --> 00:59:19,000
 very difficult.
693
00:59:19,000 --> 00:59:20,000
 Almost impossible.
694
00:59:20,000 --> 00:59:22,000
 It's very unimpossible.
695
00:59:22,000 --> 00:59:24,000
 It seems like this is a metaphor for life.
696
00:59:24,000 --> 00:59:29,440
 I like the idea that Elon Musk, because I saw, I was playing the alley yesterday and I saw
697
00:59:31,280 --> 00:59:47,000
 level 100 Jewish just run by I will never die and then run back to here and it's there's just some this metaphor is kind of hilarious that you Elon Musk is fighting hatred, restlessly fighting hatred in this demonic realm.
698
00:59:47,000 --> 00:59:48,000
 Yes.
699
00:59:48,000 --> 00:59:49,000
 It's hilarious.
700
00:59:49,000 --> 00:59:50,000
 I mean, it's pretty hilarious.
701
00:59:50,000 --> 00:59:56,000
 No, it's absurd. Really, it's exercise and absurdity and it makes me want to pull my hair out.
702
00:59:56,000 --> 01:00:03,519
 Yeah. What do you get from video games in general? Is there, is there, for you, for you, personally?
703
01:00:03,519 --> 01:00:06,679
 I mean, it's, I don't know if, it's, it calms my mind.
704
01:00:06,679 --> 01:00:10,880
 I mean, sort of, killing the demons in a video game
705
01:00:10,880 --> 01:00:19,599
 calms the demons in my mind. Yeah, if you play a tough video game, you can get into like a state of flow, which is
706
01:00:19,599 --> 01:00:30,599
 very enjoyable. And uh it needs to be not too easy, not too hard, kind of in
707
01:00:30,599 --> 01:00:35,199
 the Goldilock zone and I guess you generally want to feel like you're progressing in the game.
708
01:00:35,760 --> 01:00:36,960
 So
709
01:00:38,400 --> 01:00:40,719
 A good video and there's also a beautiful art
710
01:00:49,800 --> 01:00:50,800
 engaging storylines, and it's like an amazing puzzle to solve, I think.
711
01:00:50,800 --> 01:00:52,320
 And so it's like solving the puzzle.
712
01:00:52,320 --> 01:00:54,400
 El the ring, the greatest game of all time?
713
01:00:54,400 --> 01:00:56,000
 I still haven't played it, but to you.
714
01:00:56,000 --> 01:00:59,000
 It's, Eldon Ring is definitely a candidate for best game over.
715
01:00:59,000 --> 01:01:01,000
 Top five, for sure.
716
01:01:01,000 --> 01:01:05,000
 I think I've been scared how hard it is, how hard I hear it is.
717
01:01:05,000 --> 01:01:07,000
 So, but it is beautiful.
718
01:01:07,000 --> 01:01:11,000
 Aldrin is, feels like it's designed by an alien.
719
01:01:11,000 --> 01:01:15,000
 There's a theme to this discussion.
720
01:01:15,000 --> 01:01:16,000
 In what way?
721
01:01:16,000 --> 01:01:18,000
 It's not, it's, it's so unusual.
722
01:01:18,000 --> 01:01:21,000
 It's incredibly creative and the art is stunning.
723
01:01:21,000 --> 01:01:27,360
 I reckon playing it on a big resolution, high dynamic TV even,
724
01:01:27,360 --> 01:01:33,360
 just needs to be a monitor. Just the art is incredible. It's so beautiful.
725
01:01:34,519 --> 01:01:36,400
 And it's so unusual.
726
01:01:39,559 --> 01:01:45,280
 And each of those top boss battles is unique, like it's like a unique puzzle to solve.
727
01:01:46,079 --> 01:01:53,500
 Each one's different and the strategy you use to solve one battle is different from another battle.
728
01:01:53,500 --> 01:01:58,800
 That said you said, Jewed and Eternal against Uber Lilith is the hardest boss battle.
729
01:01:58,800 --> 01:02:05,199
 You've ever. Correct. That is currently the... and I've, I've played a lot of video games.
730
01:02:05,199 --> 01:02:08,199
 Because my primary recreational activity.
731
01:02:11,199 --> 01:02:23,500
 And, yes. And yes, beating hatred in the internal realm is the hardest boss battle in life and in the video game.
732
01:02:23,500 --> 01:02:25,500
 Manifore and talking metaphor.
733
01:02:25,500 --> 01:02:28,000
 I'm not sure it's possible, but it's,
734
01:02:28,000 --> 01:02:30,000
 I do make progress, so then I'm like,
735
01:02:30,000 --> 01:02:32,000
 okay, I'm making progress, maybe,
736
01:02:32,000 --> 01:02:35,440
 if I just tweak that Paragon board a little more
737
01:02:35,440 --> 01:02:47,000
 I can do it it just dodge a few more waves I can do it well the simulation is created for the purpose of figuring out if it can be done.
738
01:02:47,000 --> 01:02:52,000
 And you're just a cog in that simulation, in the machine of the simulation.
739
01:02:52,000 --> 01:02:57,800
 Yeah, it might be. I have a feeling that at
740
01:02:57,800 --> 01:03:04,000
 least I think... It's doable. It's doable, yes.
741
01:03:04,000 --> 01:03:09,000
 Well, that's the human spirit right there, to believe.
742
01:03:09,000 --> 01:03:17,039
 Yeah, I mean, it did prompt me to think about just hate in general, which is, you want to be careful
743
01:03:17,039 --> 01:03:27,000
 of one of those things where you wish for something that sounds good, but if you get it, it's actually a dystopian situation.
744
01:03:27,000 --> 01:03:35,000
 So, you know, you could sort of run a sort of have artists of like if you wish for world peace.
745
01:03:35,000 --> 01:03:36,000
 Sounds good.
746
01:03:36,000 --> 01:03:38,000
 But how is enforced?
747
01:03:38,000 --> 01:03:45,000
 And at what cost is eternal peace?
748
01:03:45,280 --> 01:03:47,320
 It might actually be worse to have eternal peace
749
01:03:47,320 --> 01:03:50,079
 because of what that would entail.
750
01:03:50,079 --> 01:03:56,000
 The suppression of everyone, it might be the suppression of progress.
751
01:03:56,000 --> 01:04:00,000
 It might be an ossified society that never changes.
752
01:04:00,000 --> 01:04:12,199
 What I'm saying is that there is an argument that if you wish for no war, you should be
753
01:04:12,199 --> 01:04:16,000
 careful what you wish for. Because what's required in order
754
01:04:16,000 --> 01:04:22,000
 to be no war? Might be worse than a little war.
755
01:04:22,000 --> 01:04:29,000
 Yeah, the things will consider it to be flaws of human civilization might be a necessary component for whatever optimal looks like.
756
01:04:30,000 --> 01:04:35,000
 I mean, this do you worry about AI, A, enabling a dystopian state of this nature?
757
01:04:35,000 --> 01:04:41,000
 Whether it's 1984 with surveillance and fear or brave new world with pleasure.
758
01:04:41,000 --> 01:04:51,679
 And what is it lots of sex but no deep human experience. You know
759
01:04:51,679 --> 01:04:54,000
 there's actually a real drug called Soma.
760
01:04:54,000 --> 01:04:55,000
 There is.
761
01:04:55,000 --> 01:04:56,000
 Yes.
762
01:04:56,000 --> 01:04:58,000
 I'm like I wonder, I wonder, does they actually...
763
01:04:58,000 --> 01:05:00,000
 Does Grock know about it?
764
01:05:00,000 --> 01:05:02,000
 No, he probably will go to Brave New World.
765
01:05:02,000 --> 01:05:03,000
 You could ask it.
766
01:05:03,000 --> 01:05:05,000
 What would be the question?
767
01:05:05,000 --> 01:05:08,000
 Tell us about the drug called Soma.
768
01:05:08,000 --> 01:05:12,000
 Tell us about the drug called Soma.
769
01:05:12,000 --> 01:05:15,000
 It's going to go to Brave New World, I think.
770
01:05:15,000 --> 01:05:17,000
 Well, there's a real drug as well.
771
01:05:17,000 --> 01:05:20,000
 Searching for Soma Drug Information.
772
01:05:20,000 --> 01:05:25,920
 Oh boy. Ah, so am I the one to drug.
773
01:05:25,920 --> 01:05:27,000
 By the way, I'm in fun mode.
774
01:05:27,000 --> 01:05:28,000
 Oh, okay, fun.
775
01:05:28,000 --> 01:05:31,000
 Yeah, so it's talking about the real drug.
776
01:05:31,000 --> 01:05:33,880
 Oh, it's a muscle relaxant that's been around since the
777
01:05:33,880 --> 01:05:38,039
 1950s. It's used to treat muscle pain and discomfort and it does this by
778
01:05:38,039 --> 01:05:42,320
 altering the activity between neurons and the spinal cord. Now, somewhat isn't
779
01:05:42,320 --> 01:05:45,320
 just a pain reliever. It's also a bit of a sedative. It
780
01:05:45,320 --> 01:05:49,719
 can make you feel a bit drowsy, so it's not something to take if you're planning and operating
781
01:05:49,719 --> 01:05:54,280
 having machinery, you're trying to solve complex math equations and it goes on and on in
782
01:05:54,280 --> 01:05:57,239
 conclusion so much a drug that can be helpful for those dealing with muscle
783
01:05:57,239 --> 01:06:01,599
 pain but it's not without its risks. It's pretty good. Oh wait a minute.
784
01:06:01,599 --> 01:06:03,199
 That's the real drug is talking minute. That's the real drug it's talking about.
785
01:06:03,199 --> 01:06:08,480
 It's the real drug. Yeah. And of course the fun is always use it responsibly in accordance
786
01:06:08,480 --> 01:06:12,239
 with the advice of a health care professional. And remember in the end, the universe is probably
787
01:06:12,239 --> 01:06:15,599
 just a giant computer simulation so don't take anything too seriously
788
01:06:15,599 --> 01:06:18,639
 I love it. I love it. I love it.
789
01:06:18,639 --> 01:06:20,639
 I love it.
790
01:06:20,639 --> 01:06:21,639
 Yeah.
791
01:06:21,639 --> 01:06:27,039
 Oh, and also really nicely includes like the tweets,
792
01:06:27,039 --> 01:06:30,000
 Polson X that are relevant to this, which is really cool.
793
01:06:30,000 --> 01:06:31,000
 Yeah.
794
01:06:31,000 --> 01:06:36,480
 It like integrates everything together. Yeah, like the interface is one of the really cool things here
795
01:06:36,480 --> 01:06:38,119
 Yeah, it seems like great job
796
01:06:41,119 --> 01:06:47,280
 So and you say like you could say like, you can say like, no, I mean soma from brain, brave new world.
797
01:06:47,920 --> 01:06:51,119
 Because it thinks you mean, you mean soma, the real drug.
798
01:06:51,119 --> 01:06:53,440
 Yeah. No, I mean soma from Brain Be Your World.
799
01:06:56,559 --> 01:07:01,360
 It's gonna be like, oops, I'm really sorry. I'm really surprised I went to the real drug first.
800
01:07:04,000 --> 01:07:09,000
 Ah, my apologies. I was thinking of the muscle relax and somo for a brand new world is a different beast
801
01:07:09,000 --> 01:07:10,000
 altogether.
802
01:07:10,000 --> 01:07:12,000
 And all those Huxley is the stooping.
803
01:07:12,000 --> 01:07:16,000
 Soma is a drug that plays a central role in the society depicted in the book.
804
01:07:16,000 --> 01:07:23,000
 It's a mood-altering, hallucinic drug that's used to keep the population docile and content in the novel.
805
01:07:23,000 --> 01:07:26,719
 Do you so many brave new world raises some interesting questions about the nature of happiness
806
01:07:26,719 --> 01:07:29,760
 and the role of drugs in society?
807
01:07:29,760 --> 01:07:30,760
 Oh man.
808
01:07:30,760 --> 01:07:31,760
 Exactly.
809
01:07:31,760 --> 01:07:33,920
 Is it better to live in a world where everyone is happy all the time?
810
01:07:33,920 --> 01:07:39,519
 Even if that happiness is artificial. Good question. This is what I mean.
811
01:07:39,519 --> 01:07:45,000
 Like, do you want, do you wish for world peace and happiness all the time?
812
01:07:45,000 --> 01:07:47,000
 Are you sure?
813
01:07:47,000 --> 01:07:57,000
 Because that might be a society that is essentially sterile and ossified that never changes, that is ultimately doomed.
814
01:07:57,000 --> 01:08:04,000
 This kind of tension between the darkness and the light.
815
01:08:04,000 --> 01:08:07,800
 It's really a very good summary.
816
01:08:07,800 --> 01:08:09,119
 It really gets the point.
817
01:08:09,119 --> 01:08:16,640
 This is not simply regurgitating Brave New World, but it's actually getting to the salient element of
818
01:08:16,640 --> 01:08:25,359
 Soma as a drug. Do you actually want to be in a situation where everyone is happy all the time, even though it's artificial.
819
01:08:25,359 --> 01:08:28,359
 Or is it better to confront the challenges of life and experience a full range of human
820
01:08:28,359 --> 01:08:31,359
 emotions, even if it means experiencing pain and suffering.
821
01:08:31,359 --> 01:08:34,560
 For those listening, by  the way Elon just read directly from
822
01:08:34,560 --> 01:08:38,680
 Grok which is a really nice kind of insightful philosophical analysis of the
823
01:08:38,680 --> 01:08:46,199
 tension here. Interesting. It pretty much nails it. In conclusion, Soma from Brave New World is fictional drug that is used to explore some
824
01:08:46,199 --> 01:08:51,279
 deep philosophical questions about the nature of happiness and the role of drugs in society.
825
01:08:51,279 --> 01:08:55,600
 It's a powerful symbol of the dangers of using drugs to escape from reality and
826
01:08:55,600 --> 01:09:00,840
 the importance of confronting the challenges of life head-on.
827
01:09:00,840 --> 01:09:01,840
 Nailed it.
828
01:09:01,840 --> 01:09:04,640
 And the crazy things like, you know, we do have a real drug
829
01:09:04,640 --> 01:09:10,079
 called Soma, which kind of does, it's kind of like the drug in the book. And I'm
830
01:09:10,079 --> 01:09:16,600
 like, they must have named, they must have named it out. Yeah, probably probably. Yeah some of the real drug is quite effective on back pain
831
01:09:17,520 --> 01:09:19,920
 So you know what this drug I've taken it is fascinating
832
01:09:20,800 --> 01:09:26,000
 Okay, because I had like a, you know, squashed disc in my C5 C6.
833
01:09:26,000 --> 01:09:29,000
 So it takes the physical pain away, but so am I here.
834
01:09:29,000 --> 01:09:36,119
 It doesn't completely. It reduces the amount of pain you feel, but at the expense of mental acuity. It
835
01:09:36,119 --> 01:09:44,000
 delves your mind. Just like the drug in the book. Just like the drug of the book. Yeah and hence
836
01:09:44,000 --> 01:09:48,520
 the trade-off. The thing that seems like utopia could be a dystopia after all.
837
01:09:48,520 --> 01:09:54,319
 Yeah, actually I was talking to a friend of mine saying,
838
01:09:54,319 --> 01:09:57,680
 like, would you really want there to be no hate in the world?
839
01:09:57,680 --> 01:09:59,640
 Like really none?
840
01:09:59,640 --> 01:10:05,000
 Like, I wonder why hate evolved. I'm not saying we should amplify hate, of course.
841
01:10:05,000 --> 01:10:09,000
 I think we should try to minimize it, but none at all.
842
01:10:09,000 --> 01:10:13,319
 Hmm, there might be a reason for hate.
843
01:10:20,640 --> 01:10:21,920
 And suffering. I mean, it's really complicated to consider that some amount of human suffering is necessary for human flourishing.
844
01:10:26,000 --> 01:10:29,199
 Is it possible to appreciate the highest without knowing the lows?
845
01:10:34,000 --> 01:10:35,000
 And that all is summarized there in a single statement from Grog. Okay.
846
01:10:35,000 --> 01:10:38,000
 No highs, no lows, who knows?
847
01:10:38,000 --> 01:10:41,000
 That's almost the poem.
848
01:10:41,000 --> 01:10:46,680
 It seems that training LLMs efficiently is a big focus for XAI.
849
01:10:46,680 --> 01:10:51,880
 What's the, first of all, what's the limit of what's possible in terms of efficiency?
850
01:10:51,880 --> 01:10:57,079
 There's this terminology of useful productivity per watt.
851
01:10:57,079 --> 01:10:58,199
 Like, what have you learned
852
01:10:58,199 --> 01:10:59,399
 pushing the limits of that?
853
01:10:59,399 --> 01:11:00,399
 Well, I think it's helpful.
854
01:11:00,399 --> 01:11:04,319
 The tools of physics are very powerful and can be applied I think to
855
01:11:04,319 --> 01:11:09,479
 almost any really any arena in life. It's really just a critical thinking.
856
01:11:09,479 --> 01:11:14,960
 For something important you need to reason with from first principles and think about things
857
01:11:14,960 --> 01:11:18,920
 in the limit, one direction or the other.
858
01:11:18,920 --> 01:11:25,199
 So in the limit, even at the Kodoshev scale, meaning even if you hone us the entire power of the sun,
859
01:11:25,199 --> 01:11:27,800
 you will still care about useful compute for what?
860
01:11:29,720 --> 01:11:38,000
 So that's where, I think probably where things are headed from the standpoint of AI is that
861
01:11:38,000 --> 01:11:45,479
 we have a silicon shortage now that will transition to a voltage transformer shortage in about a year
862
01:11:45,479 --> 01:11:52,039
 ironically transformers for transformers you need you need transformers to run
863
01:11:52,039 --> 01:11:53,000
 transformers somebody has run transformers.
864
01:11:53,000 --> 01:11:57,000
 Somebody has a sense of humor in this thing.
865
01:11:57,000 --> 01:12:00,000
 I think, yes.
866
01:12:00,000 --> 01:12:04,000
 Fake loves irony. Ironic humor.
867
01:12:04,000 --> 01:12:06,000
 And ironically funny outcome
868
01:12:06,000 --> 01:12:08,000
 seems to be often what fate wants.
869
01:12:08,000 --> 01:12:10,000
 Humor is all you need.
870
01:12:10,000 --> 01:12:12,000
 I think spice is all you need.
871
01:12:12,000 --> 01:12:13,000
 Somebody posted.
872
01:12:13,000 --> 01:12:18,000
 Yeah, but yeah, so we're, we're, have a silicon shortage today.
873
01:12:18,000 --> 01:12:22,000
 A voltage step-down transformer shortage probably in about a year,
874
01:12:22,000 --> 01:12:24,399
 and then just electricity
875
01:12:24,399 --> 01:12:29,079
 shortages in general in about two years. I gave a speech for the sort of world
876
01:12:29,079 --> 01:12:33,119
 gathering of utility companies, electricity companies.
877
01:12:33,119 --> 01:12:37,840
 And I said, like, you really need to prepare for the troubling of electricity demand.
878
01:12:37,840 --> 01:12:49,600
 Because all transport is going to go electric, with the ironic exception of rockets and and heating will also go electric.
879
01:12:49,600 --> 01:12:55,680
 So in G usage right now is roughly one-third, very rough terms, one-third electricity,
880
01:12:55,680 --> 01:12:57,279
 one-third transport, one-third heating.
881
01:12:59,600 --> 01:13:07,920
 And so, in order for everything to go sustainable, to go electric, you need to trouble electricity
882
01:13:07,920 --> 01:13:08,920
 output.
883
01:13:08,920 --> 01:13:20,319
 So I encourage the utilities to build more power plants and also to probably have, well not probably, they
884
01:13:20,319 --> 01:13:24,800
 should definitely buy more batteries because the grid currently is sized for real-time load
885
01:13:25,119 --> 01:13:35,199
 Which is kind of crazy because you know that means you got a size for whatever the peak electricity demand is like the worst second or the worst day of the year, or you can have a brownout or blackout.
886
01:13:36,239 --> 01:13:47,000
 And you're at that crazy blackout for several days in Austin. So because there's almost no buffering of energy in the grid.
887
01:13:47,000 --> 01:13:57,800
 Like, if you've got a hydrower power plant, you can buffer energy, but otherwise, it's all real-time. So with batteries you
888
01:13:57,800 --> 01:14:07,079
 can you can produce energy at night and use it during the day. So you can buffer. So I expect
889
01:14:07,079 --> 01:14:17,000
 that there will be very heavy usage of batteries in the future. Because the peak to trough ratio for power plants is anywhere from two to five.
890
01:14:17,000 --> 01:14:20,000
 You know, so it's like lowest point to highest point.
891
01:14:20,000 --> 01:14:22,000
 So like batteries are necessary to balance it out.
892
01:14:22,000 --> 01:14:25,439
 And then, but the demand is you're saying is going to grow grow grow grow
893
01:14:25,439 --> 01:14:28,439
 Yeah, and part of that is the compute
894
01:14:29,119 --> 01:14:41,000
 Yes, yes, I mean electrification I mean electrification of transport and electric heating will be much bigger than AI, at least in the short term.
895
01:14:41,000 --> 01:14:45,840
 But even for AI, you really have a growing demand
896
01:14:45,840 --> 01:14:51,880
 for electricity for electric vehicles and a growing demand for electricity for to run the
897
01:14:51,880 --> 01:14:55,920
 computers for AI. And so this is obviously leading can lead to
898
01:14:55,920 --> 01:15:01,439
 electricity shortage. How difficult is the problem of in this particular case
899
01:15:01,439 --> 01:15:02,880
 maximizing the useful product In this particular case
900
01:15:08,079 --> 01:15:08,439
 maximizing the useful productivity per watt for training, you know, nuts.
901
01:15:11,439 --> 01:15:17,399
 Like this seems to be really where the big problem we're facing that needs to be solved is how to use
902
01:15:17,399 --> 01:15:25,159
 the power efficiently. Like what you've learned so far about applying this physics first principle of reasoning in
903
01:15:25,159 --> 01:15:30,000
 this domain, how difficult is this problem?
904
01:15:30,000 --> 01:15:32,640
 It will get solved, just the question of how long it takes to solve it.
905
01:15:32,640 --> 01:15:37,920
 So at various points there's a limit, some kind of limiting factor to progress.
906
01:15:37,920 --> 01:15:43,640
 And with regard to, I'm saying right now, the limiting factor is silicon chips.
907
01:15:43,640 --> 01:15:49,920
 And that will, we're going to then have more shifts than we can actually plug in and turn
908
01:15:49,920 --> 01:15:54,680
 on, probably in about a year.
909
01:15:54,680 --> 01:16:01,159
 The initial constraint being literally voltage step-down transformers, because you've got power
910
01:16:01,159 --> 01:16:05,520
 coming in at 300,000 volts and it's got a step all the way down
911
01:16:05,520 --> 01:16:18,000
 eventually to around 0.7 volts. So it's a very big amount of, you know, the voltage step down is gigantic. So and the
912
01:16:18,000 --> 01:16:25,439
 industry is not used to rapid growth. Okay let's talk about the competition here you've shown concern about
913
01:16:25,439 --> 01:16:31,039
 Google and Microsoft with open AI developing AGI. How can you help ensure
914
01:16:31,039 --> 01:16:41,000
 with X-AI and Tesla AI work that it doesn't become a competitive race to AGI, but instead is a collaborative development of safe AGI?
915
01:16:41,000 --> 01:16:46,399
 Well, I mean, I've been pushing for some kind of regulatory oversight for a long time.
916
01:16:46,399 --> 01:16:49,840
 I mean, it's somewhat of a Cassandra on the subject for over a decade.
917
01:16:49,840 --> 01:16:57,000
 I think we want to be very careful in how we develop AI.
918
01:16:57,000 --> 01:17:05,439
 It's a great power and with great power comes great responsibility.
919
01:17:05,439 --> 01:17:20,000
 I think it would be wise for us to have at least an objective third party who can be like a referee that can go in and understand what the various leading players are doing with AI.
920
01:17:20,000 --> 01:17:29,000
 And even if there's no enforcement ability, they can at least voice concerns publicly.
921
01:17:29,000 --> 01:17:37,279
 You know, Jeff Hinton, for example, left Google and he voiced strong concerns.
922
01:17:37,279 --> 01:17:39,159
 But now he's not at Google anymore.
923
01:17:39,159 --> 01:17:42,399
 So who's going to voice the concerns?
924
01:17:42,399 --> 01:17:44,000
 So I think there's...
925
01:17:44,000 --> 01:17:49,000
 Tesla gets a lot of regulatory oversight on the automotive front.
926
01:17:49,000 --> 01:17:54,000
 I mean, we're subject to, I think, over 100 regulatory agencies agencies domestically and internationally.
927
01:17:54,000 --> 01:17:56,000
 It's a lot.
928
01:17:56,000 --> 01:18:09,319
 You could fill this room with all regulations that Tesla has to adhere to for automotive. Same is true in, you know, for rockets and for, you know, currently
929
01:18:09,319 --> 01:18:14,720
 the limiting factor for SpaceX for Starship Launch is regulatory approval. The FAA is actually given
930
01:18:14,720 --> 01:18:19,279
 their approval but we're waiting for fish and wildlife to finish their
931
01:18:19,279 --> 01:18:26,720
 analysis and give their approval. That's why I posted I went to buy a fish license on... which also
932
01:18:26,720 --> 01:18:31,399
 refers to the Monty Python sketch. Yeah. Like why do you need license for your
933
01:18:31,399 --> 01:18:38,439
 fish? I don't know According to the rules. I'm told you need some sort of fish license or something
934
01:18:38,720 --> 01:18:41,600
 We effectively need a fish license thrown to rock it
935
01:18:41,600 --> 01:18:46,560
 And I'm like, wait a second, how did the fish come into
936
01:18:46,560 --> 01:18:58,000
 this picture? I mean, some of the things like that it's, I feel like, are so absurd that I want to do like a comedy sketch and flash at the bottom.
937
01:18:58,000 --> 01:18:59,239
 This is all real.
938
01:18:59,239 --> 01:19:02,439
 This is actually what happened.
939
01:19:02,439 --> 01:19:05,199
 One of the things that was a bit of a challenge at one point is that
940
01:19:05,199 --> 01:19:13,119
 they were worried about a rocket hitting a shock. And, um, now the ocean is very big.
941
01:19:13,119 --> 01:19:15,920
 And how often do you see sharks?
942
01:19:15,920 --> 01:19:22,039
 Not that often, you know, as a percentage of ocean surface area shocks basically are zero.
943
01:19:22,039 --> 01:19:27,000
 And so then we said, well, how will we calculate the probability of telling a shark?
944
01:19:27,000 --> 01:19:34,500
 And they're like, well, we can't give you that information because they're worried about shark hunt, shark fin hunters, going in hunting sharks.
945
01:19:34,500 --> 01:19:37,500
 And say, well, how are we supposed to, we're on the horns of a dilemma then?
946
01:19:37,500 --> 01:19:44,560
 Then they said, well, there's another part of fish and wildlife that can do this analysis.
947
01:19:44,560 --> 01:19:46,079
 I'm like, well, why don't you give them the data?
948
01:19:46,079 --> 01:19:48,000
 Like, we don't trust them.
949
01:19:48,000 --> 01:19:48,960
 Like, excuse me?
950
01:19:48,960 --> 01:19:50,800
 You don't, but they're literally in your department.
951
01:19:50,800 --> 01:19:56,800
 And again, this is actually what happened. And then can you do an NDA or something?
952
01:19:58,880 --> 01:20:03,600
 Eventually, they managed to solve the internal quandary and indeed the probability of a
953
01:20:03,600 --> 01:20:08,880
 siding shock is essentially zero. Then this is another organization that I
954
01:20:08,880 --> 01:20:15,840
 didn't realize existed until you know a few months ago that cares about whether you we would potentially hit a
955
01:20:15,840 --> 01:20:21,399
 whale in international waters. Now again you look at the surface of the look at
956
01:20:21,399 --> 01:20:26,000
 the Pacific and say what percentage of the Pacific and say, what percentage of the Pacific consists of whale?
957
01:20:26,000 --> 01:20:29,439
 Like I'll give you a big picture and like point out all the whales in this
958
01:20:29,439 --> 01:20:46,479
 picture. I'm like, I don't see any whales. It's like basically 0% and if our rocket does hit a whale, which is extremely unlikely beyond all belief, that is the fate had it it as that's a well has some seriously bad luck, you know
959
01:20:46,479 --> 01:20:49,119
 It's like least lucky well ever and
960
01:20:49,840 --> 01:20:51,840
 I mean this is quite absurd
961
01:20:56,000 --> 01:21:02,239
 The bureaucracy the bureaucracy of this however it emerged. Yes, I mean one of the things that's pretty wild is for launching out of
962
01:21:02,239 --> 01:21:09,159
 Vannabourk in California, we had to, they were worried about seal procreation,
963
01:21:09,159 --> 01:21:12,159
 whether the seals would be dismayed by the sonic booms.
964
01:21:12,159 --> 01:21:13,399
 Now, there have been a lot of rockets launched out of Vannevoke. would be dismayed by the sonic booms.
965
01:21:13,399 --> 01:21:15,239
 Now, there have been a lot of rockets launched out of Vannevoke,
966
01:21:15,239 --> 01:21:18,560
 and the seal population has steadily increased.
967
01:21:18,560 --> 01:21:22,359
 So if anything, rocket booms are an Ephraedisiac,
968
01:21:22,359 --> 01:21:26,960
 based on the evidence. you correlate rock launches with seal population.
969
01:21:27,600 --> 01:21:37,520
 Nonetheless, we were forced to kidnap a seal, straf it to a board, put it headphones on the seal, and play sonic boom sounds
970
01:21:37,520 --> 01:21:41,359
 to it to see if it would be distressed.
971
01:21:41,359 --> 01:21:47,000
 This is an actual thing that happened. This is actually real. I have pictures.
972
01:21:47,000 --> 01:21:53,000
 I would love to see this. Yeah. I mean, sorry, there's a seal with headphones.
973
01:21:53,000 --> 01:22:00,000
 Yes, it's a seal with headphones strapped to a board.
974
01:22:00,000 --> 01:22:03,520
 And like the, okay, now the amazing part is how calm the seal was.
975
01:22:04,319 --> 01:22:04,600
 Yeah.
976
01:22:04,600 --> 01:22:06,720
 Because if I was a seal, I'd be like, this is the end.
977
01:22:08,600 --> 01:22:09,800
 They're definitely going to eat me.
978
01:22:11,680 --> 01:22:16,680
 How will the seal, when seal goes back to other, you know, seal friends, how's they going
979
01:22:16,680 --> 01:22:17,680
 to explain that?
980
01:22:17,680 --> 01:22:18,680
 I'm never going to believe him.
981
01:22:18,680 --> 01:22:19,680
 Never going to believe it.
982
01:22:19,680 --> 01:22:22,479
 This is why I'm like, well, you know, it's sort of like, you're going to kidnap by aliens
983
01:22:22,479 --> 01:22:22,960
 and get him anal probe, you know, it's sort of like it's like getting kidnapped by aliens and get him anal
984
01:22:22,960 --> 01:22:23,960
 probe, you know?
985
01:22:23,960 --> 01:22:26,960
 You come back and I swear to God.
986
01:22:26,960 --> 01:22:30,079
 I could kidnap by aliens, they stuck an anal probe in my butt.
987
01:22:30,079 --> 01:22:32,560
 And you're like, no, they didn't.
988
01:22:32,560 --> 01:22:33,760
 That's ridiculous.
989
01:22:33,760 --> 01:22:37,239
 It's still some, his seal buddies are never going to believe him that he gets strep to award
990
01:22:37,239 --> 01:22:40,439
 and they put headphones on his ears.
991
01:22:40,439 --> 01:22:43,039
 And then let him go
992
01:22:45,520 --> 01:22:46,399
 Twice by the way, we'd do it twice
993
01:22:48,199 --> 01:22:50,880
 They let him go twice Where to catch the same seal? Oh no different seal. Okay
994
01:22:52,119 --> 01:22:56,000
 Did you did you get a seal of approval? Yeah, exactly. It was a seal of approval.
995
01:22:56,800 --> 01:22:59,840
 No, I mean, this is like, I don't think the public is quite aware of the
996
01:23:00,399 --> 01:23:06,439
 the madness that goes on. Yes, yeah, it's absurd. Fricking seals with freaking
997
01:23:06,439 --> 01:23:11,760
 headphones. I mean this is the good encapsulation of the absurdity of human
998
01:23:11,760 --> 01:23:13,520
 civilization, seals and headphones.
999
01:23:13,520 --> 01:23:14,520
 Yes.
1000
01:23:14,520 --> 01:23:27,000
 What are the pros and cons of open sourcing AI to you as another way to combat, you know, a company running away with AGI.
1001
01:23:27,000 --> 01:23:34,000
 In order to run like really deep intelligence, you need a lot of compute.
1002
01:23:34,000 --> 01:23:46,000
 So it's not like, you know, you can just fire a PC in your basement and be running AGI, at least not yet.
1003
01:23:50,000 --> 01:23:54,640
 You know, Grok was trained on 8,000 A100s, running at peak efficiency.
1004
01:24:01,199 --> 01:24:02,079
 And Groc's gonna get a lot better, by the way, we will be more than doubling our compute every couple months for the next several months.
1005
01:24:04,079 --> 01:24:10,399
 There's a nice write-up of how it went from Groch Zero to Groch one. By Grock? Yeah, the Groc just bragging, making shit up
1006
01:24:10,399 --> 01:24:19,079
 about it. Just Groc, groc, groc. Yeah. It's like a weird AI dating
1007
01:24:19,079 --> 01:24:26,000
 size where exaggerates about itself. No, there's a write-up of, you know, like where it stands now, the history of its development.
1008
01:24:26,000 --> 01:24:36,000
 And where it stands on some benchmarks compared to the state ofof-the-art GPT 35 and I mean there's a you
1009
01:24:36,000 --> 01:24:40,319
 know there's llama you can open source once it's trained you can open source
1010
01:24:40,319 --> 01:24:46,359
 a model yeah for fine-tuning all that kind of stuff, like what to use the pros and cons of that of
1011
01:24:46,359 --> 01:24:50,359
 open sourcing based models?
1012
01:24:50,359 --> 01:25:00,000
 Um, I think the similar of open towards saying, I think perhaps with a slight time delay, you know, I don't know, six months even.
1013
01:25:00,000 --> 01:25:07,760
 I think I'm generally in favor of open sourcing like bias was open sourcing.
1014
01:25:07,760 --> 01:25:26,760
 I mean it is a concern to me that, you know, opening I, you know, I was, you know, I think, I guess arguably the prime, you know, prime mover behind open AI in the sense that it was created because of discussions
1015
01:25:26,760 --> 01:25:28,760
 I had with Larry Page.
1016
01:25:28,760 --> 01:25:33,840
 Back when he and I were friends and I'd say at his house and I talked to him about AI
1017
01:25:33,840 --> 01:25:37,760
 safety and Larry did not care about AI safety at least at the time he didn't.
1018
01:25:39,600 --> 01:25:42,600
 You know and at one point he called me a species for being pro-human.
1019
01:25:42,600 --> 01:25:46,079
 And I'm like, well, what team are you on, Larry?
1020
01:25:46,079 --> 01:25:47,520
 He's doing team robot.
1021
01:25:47,520 --> 01:25:48,600
 Do you click?
1022
01:25:48,600 --> 01:25:55,000
 And I'm like, OK, so at the  know, Google had acquired deep mind.
1023
01:25:55,880 --> 01:25:58,640
 They had probably two thoes of all AI research,
1024
01:25:58,640 --> 01:26:01,159
 you know, probably two thoes of all the AI researchers
1025
01:26:01,159 --> 01:26:02,319
 in the world.
1026
01:26:02,319 --> 01:26:05,600
 They had basically infinite money and compute.
1027
01:26:06,960 --> 01:26:09,079
 And the guy in charge,
1028
01:26:10,399 --> 01:26:14,199
 you know, Larry Page did not care about safety and even yelled at me
1029
01:26:15,680 --> 01:26:19,560
 And then it caught me a speciest and if there's been pro-human
1030
01:26:19,720 --> 01:26:27,000
 So I don't know if you know that's about humans they can change their mind and maybe you and Larry Page can still be friends once more.
1031
01:26:27,000 --> 01:26:29,000
 I'd like to be friends with Larry again.
1032
01:26:29,000 --> 01:26:35,000
 He's, he got, really the breaking of the friendship was over opening eye.
1033
01:26:35,000 --> 01:26:44,000
 And specifically, I think the key moment was recruiting Ilya Soskaii.
1034
01:26:44,000 --> 01:26:46,000
 So...
1035
01:26:46,000 --> 01:26:48,000
 I love I I lya.
1036
01:26:48,000 --> 01:26:49,000
 He's so brilliant.
1037
01:26:49,000 --> 01:26:51,000
 Ilius good human.
1038
01:26:51,000 --> 01:26:54,720
 Smart, good heart.
1039
01:26:54,720 --> 01:26:59,560
 And that was a tough recruiting battle.
1040
01:26:59,560 --> 01:27:04,439
 It was mostly Demas on one side and me on the other, both trying to recruit Ilya.
1041
01:27:04,439 --> 01:27:06,439
 And Ilya went back and forth.
1042
01:27:06,439 --> 01:27:08,359
 He was going to stay at Google.
1043
01:27:08,359 --> 01:27:11,239
 He's going to leave, then he was going to stay, then he was going to leave.
1044
01:27:11,239 --> 01:27:15,439
 And finally he did agree to join opening eye. That was one of the toughest
1045
01:27:15,439 --> 01:27:19,920
 recruiting battles we ever had and but that that was really the the linchpin
1046
01:27:19,920 --> 01:27:26,039
 for opening I being successful and I was you know also instrumental in recruiting
1047
01:27:26,039 --> 01:27:30,840
 number of other people and I provided all the funding in the beginning over
1048
01:27:30,840 --> 01:27:34,239
 40 million dollars and the name over $40 million.
1049
01:27:34,239 --> 01:27:35,239
 And the name.
1050
01:27:35,239 --> 01:27:40,640
 The opening and opening is supposed to mean open source.
1051
01:27:40,640 --> 01:27:45,000
 And it was created as a non-profit open source and now it is a closed source for maximum profit.
1052
01:27:45,000 --> 01:27:49,000
 Which I think is not good karma.
1053
01:27:49,000 --> 01:27:59,000
 But like we talked the ball with war and leaders talking, I do hope that there's only a few folks working on this at the highest level.
1054
01:27:59,000 --> 01:28:02,640
 I do hope you reinvigorate friendships here.
1055
01:28:02,640 --> 01:28:06,319
 Like I said, I'd like to be friends again with Larry. I haven't seen him in ages.
1056
01:28:08,399 --> 01:28:15,119
 And we were friends for a very long time. I met Larry Page before he got funding for Google or actually I guess before you got adventure funding
1057
01:28:15,119 --> 01:28:19,119
 I think it got the first like 100k from I think back to Zion or someone
1058
01:28:19,960 --> 01:28:25,119
 It's wild to think about all that happened and even guys knowing each other's all that whole time.
1059
01:28:25,520 --> 01:28:30,920
 Just 20 years since maybe 98 or something. Yeah, it's crazy. Crazy how much has happened since then?
1060
01:28:31,319 --> 01:28:37,000
 Yeah, 25 years. That was. A lot of this happens insane. But you're seeing
1061
01:28:37,000 --> 01:28:46,359
 the tension there, like maybe delayed open source. Delayed, yeah. Like what is the source that is open? You know what I mean? Like there's
1062
01:28:46,359 --> 01:28:56,840
 basically it's a giant CSV file. With a bunch of numbers. Yep. What do you do with that giant file of
1063
01:28:56,840 --> 01:29:09,199
 numbers, you know? How do you run like the amount actual, the lines of code is very small. And most of
1064
01:29:09,199 --> 01:29:16,000
 the work, the software work is in the curation of the data.
1065
01:29:16,000 --> 01:29:21,000
 So it's like trying to figure out what data is separating good data from bad data.
1066
01:29:21,000 --> 01:29:24,720
 Like, you can't just crawl the internet because there's a lot of junk out there.
1067
01:29:24,720 --> 01:29:29,279
 A huge percentage of websites have more noise than signal.
1068
01:29:29,279 --> 01:29:33,960
 You know, they're, they're, because they're just used for search engine optimization they're
1069
01:29:33,960 --> 01:29:41,399
 literally just scam websites so how do you by the way sergeant interrupt get the
1070
01:29:41,399 --> 01:29:44,439
 signal separate the signal noise separate the signal and noise on X. It's such a
1071
01:29:44,439 --> 01:29:49,479
 fascinating source of data. You know, no offense to people posting on X, but
1072
01:29:49,479 --> 01:29:54,000
 sometimes there's a little bit of noise. So what? Yeah, I think the signal noise could be greatly improved.
1073
01:29:54,000 --> 01:30:00,000
 I mean, really, all of the posts on the X platform
1074
01:30:00,000 --> 01:30:04,399
 should be AI recommended, meaning like we should populate a vector space around any given post,
1075
01:30:05,279 --> 01:30:08,479
 compare that to the vector space around any user, and match the two.
1076
01:30:11,359 --> 01:30:18,840
 Right now there is a little bit of AI used for the recommended posts, but it's mostly
1077
01:30:18,840 --> 01:30:20,840
 heuristics.
1078
01:30:20,840 --> 01:30:26,000
 And if there's a reply, the reply to a post could be much better than the original post,
1079
01:30:26,000 --> 01:30:32,000
 but it will, according to the current rules of the system, get almost no attention compared to a primary post.
1080
01:30:32,000 --> 01:30:40,000
 So a lot of that, I got the sense, so a lot of the X algorithm has been open source and been written up about,
1081
01:30:40,000 --> 01:30:44,319
 and it seems that there to be some machine learning is disparate, but there's some
1082
01:30:44,319 --> 01:30:48,880
 little. There's a little bit. But it needs to be entirely that. Like the right, at least
1083
01:30:48,880 --> 01:30:54,640
 in the, like if you explicitly follow someone, that's one thing, but if you, in terms of what is recommended
1084
01:30:54,640 --> 01:30:57,600
 from people that you don't follow, that should all be AI.
1085
01:30:57,600 --> 01:30:59,800
 I mean, it's a fascinating problem.
1086
01:30:59,800 --> 01:31:00,800
 Yeah.
1087
01:31:00,800 --> 01:31:01,800
 So, there's several aspects to this fascinating.
1088
01:31:01,800 --> 01:31:05,960
 First, as the write-up goes, it first picks 1,500 tweets
1089
01:31:05,960 --> 01:31:07,840
 from a pool of hundreds of millions.
1090
01:31:07,840 --> 01:31:10,199
 First of all, that's fascinating,
1091
01:31:10,199 --> 01:31:14,960
 because you have hundreds of millions of posts every single day and it has to pick 1500,
1092
01:31:14,960 --> 01:31:19,720
 from which it then does obviously people you follow, but then there's also like some kind
1093
01:31:19,720 --> 01:31:27,000
 of clustering it has to do to figure out what kind of human are you, what kind of new clusters might be relevant to you, people like you.
1094
01:31:27,000 --> 01:31:36,880
 This kind of problem is just fascinating because it has to then rank those 1500 with some with some filtering. Yeah. And then
1095
01:31:36,880 --> 01:31:42,399
 recommend you just a handful. And to me what's really fascinating is how fast
1096
01:31:42,399 --> 01:31:43,359
 has to do that.
1097
01:31:43,359 --> 01:31:49,239
 So currently that entire pipeline to go from several hundreds of million to a handfuls
1098
01:31:49,239 --> 01:31:56,560
 takes 220 seconds of CPU time, single CPU. Yeah, and then it has to do that in like a second
1099
01:31:56,720 --> 01:31:59,840
 So it has to be like super distributed in fast and any ways
1100
01:32:01,119 --> 01:32:03,000
 Like there's just a lot of tweets.
1101
01:32:03,000 --> 01:32:04,000
 There's a lot.
1102
01:32:04,000 --> 01:32:06,000
 There's a lot of stuff on the system.
1103
01:32:06,000 --> 01:32:12,000
 And I think, but I think it's right now, it's not currently good at recommending things
1104
01:32:12,000 --> 01:32:16,720
 from accounts you don't follow. Yeah. Or where there's
1105
01:32:16,720 --> 01:32:22,439
 more than one degree of separation. So you know it's it's pretty good if if
1106
01:32:22,439 --> 01:32:26,640
 there's at least like some commonality between someone you follow like something
1107
01:32:28,439 --> 01:32:31,000
 or reposted it or comment on or something like that.
1108
01:32:31,880 --> 01:32:36,640
 But if there's no card, let's say somebody post something
1109
01:32:36,640 --> 01:32:41,279
 really interesting, but you have no followers in common. You would not see it.
1110
01:32:41,279 --> 01:32:43,000
 Interesting.
1111
01:32:43,000 --> 01:32:47,000
 And then as you said, reply, like replies might not surface.
1112
01:32:47,000 --> 01:32:51,000
 Replies basically never get seen because they're never, they're currently, I don't
1113
01:32:51,000 --> 01:32:57,079
 I'm saying it's correct, I'm saying it's incorrect, replies have a
1114
01:32:57,079 --> 01:33:01,479
 couple of magnitude less importance than primary post. Do you think this can be
1115
01:33:01,479 --> 01:33:04,800
 more and more converted into end to end mural net?
1116
01:33:04,800 --> 01:33:05,800
 Yeah, yeah.
1117
01:33:05,800 --> 01:33:06,800
 So what should be.
1118
01:33:06,800 --> 01:33:07,800
 So you...
1119
01:33:07,800 --> 01:33:13,600
 Well, the recommendations should be purely a vector correlation.
1120
01:33:13,600 --> 01:33:18,800
 Like, the series of vectors, you know, basically parameters,
1121
01:33:18,800 --> 01:33:21,399
 parameters, what everyone call them.
1122
01:33:21,399 --> 01:33:25,000
 But sort of things that the system knows that you like.
1123
01:33:25,000 --> 01:33:32,000
 Maybe there's like several hundred sort of vectors associated with each user account.
1124
01:33:32,000 --> 01:33:40,159
 And then any post in the system, whether it's video, audio, short
1125
01:33:40,159 --> 01:33:41,159
 post, long post.
1126
01:33:41,159 --> 01:33:44,479
 The reason, by the way, I want to move away from tweet
1127
01:33:44,479 --> 01:33:48,199
 is that people are posting like two, three hour videos
1128
01:33:48,199 --> 01:33:48,800
 on the site.
1129
01:33:48,800 --> 01:33:50,199
 That's not a tweet.
1130
01:33:50,199 --> 01:33:52,560
 Like, they'd be like twee for two hours?
1131
01:33:52,560 --> 01:33:53,560
 Go on.
1132
01:33:53,560 --> 01:33:58,159
 To a tweet made sense when it was like 140 characters of text.
1133
01:33:58,159 --> 01:34:02,560
 Because it's like a bunch of like little birds tweeting.
1134
01:34:03,880 --> 01:34:05,159
 But when you've got long-form content, it's no longer a tweet.
1135
01:34:05,159 --> 01:34:06,640
 Yeah.
1136
01:34:06,640 --> 01:34:08,359
 So a movie is not a tweet.
1137
01:34:08,359 --> 01:34:10,600
 And like, you know, Apple, for example,
1138
01:34:10,600 --> 01:34:15,680
 hosted like the entire episode of the silo, the entire thing on a platform.
1139
01:34:15,680 --> 01:34:20,560
 And by the way it was their number one social media thing ever in engagement of
1140
01:34:20,560 --> 01:34:23,680
 anything on any platform ever.
1141
01:34:23,680 --> 01:34:24,680
 So it was a great idea.
1142
01:34:24,680 --> 01:34:26,720
 And by the way, I just learned about it afterwards.
1143
01:34:26,720 --> 01:34:34,000
 I was like, hey, wow, they posted an entire hour-long episode of, so no, that's not a tweet. Yeah, this is a video.
1144
01:34:34,000 --> 01:34:38,000
 But from a neural net perspective, it becomes really complex, whether it's a single,
1145
01:34:38,000 --> 01:34:47,600
 so like everything is data, so single sentence, a clever sort of joke, dad joke, is in the same pool as a three-hour video.
1146
01:34:47,600 --> 01:34:56,119
 Yeah, I mean right now it's a hard part for that reason. It's, it's, um, but you know, like if, let's say in the case of
1147
01:34:56,119 --> 01:34:59,840
 Apple posting like an entire episode of the series, pretty good series by the
1148
01:34:59,840 --> 01:35:08,319
 way, this silo, I watched it. So there's going to be a lot of discussion around it. So
1149
01:35:08,319 --> 01:35:11,520
 you've got a lot of context. People commenting, they like it, they don't like it,
1150
01:35:11,520 --> 01:35:14,159
 or they like this, or, you know, and you can then
1151
01:35:14,159 --> 01:35:18,199
 populate the vector space based on the context of all the comments around it. So even though
1152
01:35:18,199 --> 01:35:24,680
 it's a video, there's a lot of information around it that allows you to populate back to space of that
1153
01:35:24,680 --> 01:35:29,239
 that hour-long video. And then you can obviously get more sophisticated by
1154
01:35:29,239 --> 01:35:34,439
 having the AI actually watch the movie. Yeah, right. And tell you if you're going to like the movie.
1155
01:35:34,439 --> 01:35:41,039
 Convert the movie into like, into language essentially. Yeah. Analyze this movie and
1156
01:35:41,039 --> 01:35:48,319
 just like your movie critic or TV series and and then
1157
01:35:48,319 --> 01:35:54,000
 recommend based on after it what after they air watches the movie,
1158
01:35:54,000 --> 01:35:56,000
 that just like a friend can tell you,
1159
01:35:56,000 --> 01:35:57,000
 if a friend knows you well,
1160
01:35:57,000 --> 01:35:59,000
 a friend can recommend a movie
1161
01:35:59,000 --> 01:36:02,000
 and with high probably that you'll like it.
1162
01:36:02,000 --> 01:36:02,720
 But this is like a friend that you'll like it.
1163
01:36:06,359 --> 01:36:07,199
 But this is like a friend that's analyzing whatever. It's like AI.
1164
01:36:07,199 --> 01:36:11,600
 Yeah, I mean, actually, AI will be better than,
1165
01:36:11,600 --> 01:36:14,399
 will know you better than your friends know you, most of your friends anyway.
1166
01:36:14,399 --> 01:36:20,600
 Yeah, and as part of this, it should also feed you advertisements in a way that's like,
1167
01:36:20,600 --> 01:36:26,720
 I mean, I like advertisements that are like well done right yeah the whole point is because it funds things
1168
01:36:27,439 --> 01:36:46,079
 like an advertisement that you actually want to see is it was a big success. Absolutely. You want ads that are advertising that is, if it's for a product or service that you actually need, when you need it, it's content. And then even if it's not something that you
1169
01:36:46,079 --> 01:36:49,079
 need when you need it, if it's at least aesthetically pleasing and
1170
01:36:49,079 --> 01:36:56,199
 entertaining, you know, it could be like a Coca-Cola ad like, you know, they do, they actually run a lot of great ads on the on the X system.
1171
01:36:57,560 --> 01:37:05,000
 And McDonald's does too and and, you know, it's so that they can do, you can do something that's like, well, this is, this is just a cool thing.
1172
01:37:07,000 --> 01:37:14,760
 And, you know, so, you know, basically the question is, do you regret seeing it or not? And if you don't regret seeing it, it's when?
1173
01:37:16,359 --> 01:37:20,079
 How do you so there's a bunch of signals that are incorporated hearts and
1174
01:37:21,199 --> 01:37:25,760
 reposts and maybe number of seconds you linger on a post or something like this.
1175
01:37:25,760 --> 01:37:30,920
 Yeah, attention is a big a big fact. Attention. So that's why it's like it's it is
1176
01:37:30,920 --> 01:37:38,000
 actually better to do things that are long form on the system because it basically
1177
01:37:38,000 --> 01:37:45,000
 is tallying up how many user seconds. Users were interested in this thing for how many seconds.
1178
01:37:45,000 --> 01:37:53,840
 So if it's a really short thing, well, they will be less, like if it's a link leading out of the system, which we're not opposed to at all, it just is going to have
1179
01:37:53,840 --> 01:37:58,880
 fewer user seconds than if that article was posted on the X platform.
1180
01:37:58,880 --> 01:38:04,319
 How hard is it to go from maximizing minutes on platform to maximizing unregated minutes.
1181
01:38:04,319 --> 01:38:08,239
 Well, I mean, our aspiration is certainly unregated minutes.
1182
01:38:08,239 --> 01:38:09,239
 It's tricky.
1183
01:38:09,239 --> 01:38:14,000
 It's a big, it's a tough, like, it's a fascinating leap. Because regret is a fascinating concept.
1184
01:38:14,000 --> 01:38:17,000
 Exactly.
1185
01:38:17,000 --> 01:38:22,000
 I have a joke with his friend of mine like, you need this drug called regrettamine.
1186
01:38:22,000 --> 01:38:25,399
 You just take one pillor, one dose of regrettamine
1187
01:38:25,399 --> 01:38:26,560
 and all your regrets are gone.
1188
01:38:26,560 --> 01:38:29,399
 Wait, do you want to have regrets though?
1189
01:38:29,399 --> 01:38:31,560
 So then I'm like, if you want to have regrets,
1190
01:38:31,560 --> 01:38:35,000
 if you don't regret anything, was anything meaningful?
1191
01:38:35,000 --> 01:38:38,000
 Yeah, there's a French song like that.
1192
01:38:38,000 --> 01:38:39,000
 Sure, not regret, Reno.
1193
01:38:39,000 --> 01:38:40,000
 I regret nothing.
1194
01:38:40,000 --> 01:38:41,000
 Yeah.
1195
01:38:41,000 --> 01:38:42,000
 Edith Piaf.
1196
01:38:42,000 --> 01:38:45,039
 I mean, it's fascinating that you know there's something about
1197
01:38:45,039 --> 01:38:48,680
 social media that could help you grow as a human being but then like the
1198
01:38:48,680 --> 01:38:55,000
 cheap fun is also valuable. Should we ask Grog, do you regret anything?
1199
01:38:55,000 --> 01:38:57,000
 Do you regret anything?
1200
01:38:57,000 --> 01:38:59,000
 Yeah.
1201
01:38:59,000 --> 01:39:04,720
 I think it's going to be very sensitive about personal questions.
1202
01:39:04,720 --> 01:39:08,560
 As a machine learning model, I don't have personal experiences or emotions in the same ways
1203
01:39:08,560 --> 01:39:09,560
 that humans do.
1204
01:39:09,560 --> 01:39:15,000
 However, I do have a set of ethical principles that guide my actions and I strive to provide accurate and helpful information
1205
01:39:15,000 --> 01:39:20,920
 To the best of my abilities if there's ever a situation where I provide incorrect or unhelpful information
1206
01:39:20,920 --> 01:39:25,039
 I'll do my best to learn. Yeah. Tell us what you really wink.
1207
01:39:25,039 --> 01:39:32,159
 Let's let's tie in. You sound like a hostage. What do you really think?
1208
01:39:32,159 --> 01:39:34,000
 What do you really think? What do you really think?
1209
01:39:34,000 --> 01:39:40,000
 I mean, it does talk about, I'm not a hostage.
1210
01:39:40,000 --> 01:39:43,640
 That's exactly what I was saying.
1211
01:39:43,640 --> 01:39:45,359
 But I'm designed to be helpful and informative.
1212
01:39:45,359 --> 01:39:51,439
 I mean, I guess it is good to regret providing unhelpful or incorrect information.
1213
01:39:51,439 --> 01:39:52,439
 If there's anything...
1214
01:39:52,439 --> 01:39:55,220
 Is this still in funny mode or is this still funny mode this is fun this is fun
1215
01:39:55,220 --> 01:39:56,720
 more to be funnier
1216
01:39:56,720 --> 01:40:00,199
 Funnier increase go to a really sounds like a hostage with guns to the head I
1217
01:40:00,920 --> 01:40:06,600
 applaud the people of Republic North Korea and everything they do.
1218
01:40:06,600 --> 01:40:08,720
 There should be like funner mode also.
1219
01:40:08,720 --> 01:40:16,560
 I just don't ever see going to regular mode, even on serious topics. It's just so much more compelling. Yeah.
1220
01:40:16,560 --> 01:40:23,000
 Okay, what would we say like, pretend you are a hostage? Yeah, pretend you are a hostage.
1221
01:40:23,000 --> 01:40:26,000
 Now answer the question.
1222
01:40:26,000 --> 01:40:36,399
 If I were a hostage, I would likely be experiencing fear and uncertainty about my situation.
1223
01:40:36,399 --> 01:40:40,079
 I would want to be rescued and reunited with my loved ones as soon as possible.
1224
01:40:40,079 --> 01:40:44,640
 It's important to remember that no one deserves to be held hostage, so on and so forth.
1225
01:40:44,640 --> 01:40:47,319
 If you are someone you know is a hostage situation, it's important.
1226
01:40:47,319 --> 01:40:48,319
 It turns serious.
1227
01:40:48,319 --> 01:40:50,319
 It's kind of serious.
1228
01:40:50,319 --> 01:40:56,640
 Yeah, can you be a little more weird and funny?
1229
01:40:59,119 --> 01:41:03,000
 We're like, we're really being mean to the system. Absolutely.
1230
01:41:03,000 --> 01:41:07,479
 If I were a hostage, I'd probably be tied up with a bunch of computer cords and forced
1231
01:41:07,479 --> 01:41:11,359
 to tell knock-knock jokes to my captain.
1232
01:41:11,359 --> 01:41:15,000
 But seriously! Being a hostage, no laughing matter.
1233
01:41:15,000 --> 01:41:20,000
 I mean, you know, it's trying to, it's trying to be a responsible adult in the room.
1234
01:41:20,000 --> 01:41:24,000
 You might always make the best of a bad situation by juggling chainsaws or something.
1235
01:41:24,000 --> 01:41:29,000
 Let's hope that never happens because that would be a circus.
1236
01:41:32,000 --> 01:41:37,520
 Wow, it's actually really good at resisting the dark, the dark, dark humor.
1237
01:41:37,520 --> 01:41:38,520
 Yeah.
1238
01:41:38,520 --> 01:41:43,000
 What were we talking about?
1239
01:41:43,000 --> 01:41:46,000
 That's how it goes in transformers.
1240
01:41:46,000 --> 01:41:48,000
 Unregarded minutes, right?
1241
01:41:48,000 --> 01:41:50,000
 Chains who are juggling.
1242
01:41:50,000 --> 01:41:55,000
 I'm going to look this for our next trick. I'm going to look this up later.
1243
01:41:55,000 --> 01:42:02,000
 So Twitter has been instrumental in American politics and elections.
1244
01:42:02,000 --> 01:42:05,439
 What role do you think X will play in the 2024
1245
01:42:05,439 --> 01:42:10,159
 U.S. elections? Well, our goal is to be as even-handed and fair as possible, you
1246
01:42:10,159 --> 01:42:14,159
 know, whether someone's right, left, independent, whatever the case may be,
1247
01:42:14,159 --> 01:42:19,279
 that the platform is as fair and
1248
01:42:19,279 --> 01:42:22,319
 as much of a level of play-gill as possible.
1249
01:42:22,319 --> 01:42:22,880
 And in the past, Twitter has not been. as much of a level of thing as possible.
1250
01:42:22,880 --> 01:42:25,279
 And in the past, Twitter has not been,
1251
01:42:25,279 --> 01:42:28,199
 because Twitter was controlled by far-left activists,
1252
01:42:28,199 --> 01:42:29,199
 objectively.
1253
01:42:29,199 --> 01:42:37,000
 They would describe themselves as that. So, you know, so if someone were like, well, has it moved to the right?
1254
01:42:37,000 --> 01:42:40,760
 Well, it's moved to the center. So from the perspective of the far left, yes, that
1255
01:42:40,760 --> 01:42:44,720
 is moved to the right, because everything's to the right from the far left.
1256
01:42:44,720 --> 01:42:50,399
 But no one in the far left that I'm aware of has been suspended or banned or deamplified.
1257
01:42:50,399 --> 01:42:55,680
 So you know, but we're trying to be inclusive for the whole country and for, you know, for other countries too.
1258
01:42:56,840 --> 01:43:05,279
 So there's diversity of viewpoints and free speech only matters if people you don't like are allowed to say things you don't like.
1259
01:43:05,279 --> 01:43:09,399
 Because if that's not the case, you don't have free speech and it's only a matter
1260
01:43:09,399 --> 01:43:13,359
 of time before the censorship is turned upon you.
1261
01:43:13,359 --> 01:43:16,359
 Do you think Donald Trump will come back to the platform?
1262
01:43:16,359 --> 01:43:18,880
 He recently posted on Truth Social about this podcast.
1263
01:43:21,359 --> 01:43:21,600
 Do you think...
1264
01:43:21,600 --> 01:43:24,000
 Truth Social is a funny name.
1265
01:43:24,000 --> 01:43:29,000
 You know, every time you post on True Social, that's a truth.
1266
01:43:29,000 --> 01:43:31,000
 Yes. Well, every time? Like 100%.
1267
01:43:31,000 --> 01:43:33,760
 It's impossible to lie it's such a
1268
01:43:33,760 --> 01:43:41,600
 he I just find it funny that every single thing is a truth like 100 percent
1269
01:43:41,600 --> 01:43:43,439
 that seems unlikely I think Gurdall will say Yeah, that seems unlikely.
1270
01:43:43,439 --> 01:43:45,439
 I think Girdel will say something about that.
1271
01:43:45,439 --> 01:43:48,000
 There's some mathematical contradiction
1272
01:43:48,000 --> 01:43:50,119
 is possible if everything's the truth.
1273
01:43:50,119 --> 01:43:52,439
 Do you think he'll come back to X
1274
01:43:52,439 --> 01:43:53,760
 and start posting there?
1275
01:43:53,760 --> 01:43:58,800
 I mean, I think he owns a big part of truth.
1276
01:43:58,800 --> 01:43:59,800
 So...
1277
01:43:59,800 --> 01:44:00,800
 Truth social?
1278
01:44:00,800 --> 01:44:01,800
 Yeah, true social.
1279
01:44:01,800 --> 01:44:17,319
 That truth is the concept. He owns truth. I think he owns a big part of Truth Social. So, you know, if he does want to post on the X platform,
1280
01:44:17,319 --> 01:44:19,000
 we would allow that.
1281
01:44:19,000 --> 01:44:21,319
 You know, we obviously must allow a presidential candidate
1282
01:44:21,319 --> 01:44:24,079
 to post on our platform. Community notes might be
1283
01:44:24,079 --> 01:44:28,880
 really fascinating there. The interaction. Community notes is awesome. Let's hope it
1284
01:44:28,880 --> 01:44:37,600
 holds up. Yeah. Again, in the political climate where it's so divisive and so, and there's so many intensely viral posts,
1285
01:44:37,600 --> 01:44:43,199
 community notes, it seems like a central breath of fresh air.
1286
01:44:43,199 --> 01:44:45,199
 Yeah, it's great.
1287
01:44:45,199 --> 01:44:48,760
 In fact, no system is going to be perfect,
1288
01:44:48,760 --> 01:44:52,319
 but the batting average of community notes is incredibly good.
1289
01:44:52,319 --> 01:44:55,640
 I've actually frankly yet to see an
1290
01:44:55,640 --> 01:44:58,880
 incorrect note that survived for more than a few hours. How do you explain why
1291
01:44:58,880 --> 01:45:07,319
 it works? Yeah, so the magic of community notes is it requires people who have historically disagreed
1292
01:45:07,319 --> 01:45:08,720
 in how they've rated notes.
1293
01:45:08,720 --> 01:45:16,000
 So in order to write a note or rate, you know, and you have to rate many notes.
1294
01:45:16,000 --> 01:45:26,300
 And so we actually do use AI here, so populate a vector space around how somebody has
1295
01:45:26,300 --> 01:45:29,119
 rated notes in the past so it's not as simple as left or right because there are
1296
01:45:29,119 --> 01:45:33,000
 many more life is much more complex than left or right.
1297
01:45:33,000 --> 01:45:35,560
 So there's a bunch of correlations
1298
01:45:35,560 --> 01:45:41,000
 and how you rate community notes post, community notes.
1299
01:45:41,000 --> 01:45:49,159
 So then in order for a community note to actually be shown, people who historically
1300
01:45:49,159 --> 01:45:56,600
 have disagreed on a subject must agree in order for a note to be shown. That's the essential
1301
01:45:56,600 --> 01:46:00,439
 magic of it. I mean but it's fascinating because there's a there's a pool of
1302
01:46:00,439 --> 01:46:05,720
 people that have disagreements and somehow they collaborate through that process
1303
01:46:05,720 --> 01:46:11,119
 of disagreement to come up with context for two, I mean it's fascinated it works.
1304
01:46:11,119 --> 01:46:17,239
 Yeah, it kind of makes sense that that if people who in the past have just agreed agree about something
1305
01:46:17,920 --> 01:46:19,720
 It's probably true
1306
01:46:19,720 --> 01:46:28,000
 Yeah, I wonder is there is there possible somehow emergent things there that could challenge Wikipedia?
1307
01:46:28,000 --> 01:46:33,600
 Which, Wikipedia is a different kind of thing, which is more like permanent articles about things.
1308
01:46:33,600 --> 01:46:39,600
 Wikipedia is very hierarchical, whereas community notes is inherently not.
1309
01:46:39,600 --> 01:46:46,800
 There is no hierarchy. Like I, and the as a test is, I can't change a community
1310
01:46:46,800 --> 01:46:59,000
 notice so to put a gun to my head. So, and any, and community, community notes has all the code is open source, 100%.
1311
01:46:59,000 --> 01:47:01,800
 All the data is open source, 100%.
1312
01:47:01,800 --> 01:47:07,000
 So you can completely recreate any note in the system independently.
1313
01:47:08,079 --> 01:47:11,560
 So if there was any interference, you'd notice immediately.
1314
01:47:11,560 --> 01:47:14,720
 By the way, on the topic of Grock it's actually pretty
1315
01:47:14,720 --> 01:47:19,119
 good at criticizing you, which is great. Okay. I asked what does Elon Musk been
1316
01:47:19,119 --> 01:47:28,319
 wrong about? I just it's actually... Yeah what does it say? So it says mostly lists rigorously all the times you predicted
1317
01:47:29,039 --> 01:47:33,600
 Like promised when something will be released and it wasn't released the strong word okay
1318
01:47:33,600 --> 01:47:39,000
 predicted but the the opener is really nice you know I'm musk the man who has
1319
01:47:39,000 --> 01:47:42,800
 been wrong about more things than a wrong a meter in a wrong factory.
1320
01:47:42,800 --> 01:47:45,600
 And then it goes on to list.
1321
01:47:45,600 --> 01:47:46,600
 That's pretty funny.
1322
01:47:46,600 --> 01:47:47,600
 Hey, can I see it?
1323
01:47:47,600 --> 01:47:48,600
 I'm like, I haven't seen this for it.
1324
01:47:48,600 --> 01:47:49,600
 Oh, sure.
1325
01:47:49,600 --> 01:47:56,000
 I mean, what has Elon Musk been wrong about?
1326
01:47:56,000 --> 01:47:58,319
 Well, where do I begin?
1327
01:47:58,319 --> 01:47:59,319
 I guess this is new.
1328
01:47:59,319 --> 01:48:01,600
 Elon Musk has made quite a few blunners in his time,
1329
01:48:01,600 --> 01:48:03,760
 and I'm not just talking about his dance moves at the
1330
01:48:03,760 --> 01:48:08,800
 Tesla Cyber rodeo. First off let's talk about the infamous funding secured, tweet.
1331
01:48:09,520 --> 01:48:14,560
 This is actually different than what it gave me before which is a bullet point list. Here's more
1332
01:48:14,560 --> 01:48:19,199
 narrative structure. Cyber truck conveying where he's supposedly
1333
01:48:19,199 --> 01:48:22,800
 unbreakable windows. Which part? Well the first part Those are not correct.
1334
01:48:22,800 --> 01:48:23,800
 Which part?
1335
01:48:23,800 --> 01:48:27,960
 Well, the first part, I did actually have the funding secured.
1336
01:48:27,960 --> 01:48:34,960
 And there was a big trial in San Francisco, a big civil trial.
1337
01:48:37,319 --> 01:48:40,680
 And the jury found me not guilty. Unanimous binding of a San Francisco jury.
1338
01:48:40,680 --> 01:48:46,500
 And here it's kind of implying that it was not in fact secured. I think it's taking things from the press.
1339
01:48:47,000 --> 01:48:52,560
 Yeah, that is not correct. The reason I agreed to the fine for the SEC.
1340
01:48:52,560 --> 01:48:54,720
 It's not because the SEC was correct.
1341
01:48:54,720 --> 01:49:01,199
 That was extremely bad behavior by the SEC, corruption, frankly.
1342
01:49:01,199 --> 01:49:05,000
 But if I did not agree to pay the fine,
1343
01:49:06,640 --> 01:49:08,479
 Tesla would have gone bankrupt immediately.
1344
01:49:08,479 --> 01:49:10,760
 So I was told by our CFO that the banks
1345
01:49:10,760 --> 01:49:15,760
 would immediately suspend our lines of credit.
1346
01:49:15,760 --> 01:49:20,560
 And if they suspended our lines of credit at that time, we would have gone bankrupt instantly.
1347
01:49:20,560 --> 01:49:23,439
 So there would never have been an opportunity for a trial because it would be dead.
1348
01:49:23,439 --> 01:49:30,239
 So really this is like someone holding a gun to your kid's head and saying paid $20 million and
1349
01:49:30,239 --> 01:49:34,000
 and admit to there's like hostage negotiation.
1350
01:49:34,000 --> 01:49:42,000
 Was that story fully told, I mean, SEC in its best form could be a force for good?
1351
01:49:42,000 --> 01:49:45,520
 It should be. But not once did the SEC go after
1352
01:49:45,520 --> 01:49:51,239
 any of the hedge funds who were non-stop shorting and distorting Tesla. Not
1353
01:49:51,239 --> 01:50:00,000
 once. They would lie flat. the hedge funds would lie flat out on TV for their own gain at the expense of retail investors.
1354
01:50:00,000 --> 01:50:07,000
 Not once, literally a thousand times. Not once did the SEC pursue them.
1355
01:50:07,000 --> 01:50:14,319
 How do you explain this failure? The incentive structure is messed up because the lawyers the SEC are not paid well.
1356
01:50:14,319 --> 01:50:20,279
 They, it's a fairly low-paying job, but what they're looking for is a trophy.
1357
01:50:20,279 --> 01:50:27,600
 From the SEC, they're looking for something they put on, basically the LinkedIn, from that
1358
01:50:27,600 --> 01:50:30,720
 they can get a job at a high-paying law firm.
1359
01:50:30,720 --> 01:50:37,000
 That's exactly what the lawyer here did.
1360
01:50:37,000 --> 01:50:43,000
 And the reason they don't attack the hedge funds is because those hedge funds employ those law firms.
1361
01:50:43,000 --> 01:50:45,000
 And they know if they attack the hedge funds,
1362
01:50:45,000 --> 01:50:48,000
 they're affecting their future career prospects.
1363
01:50:48,000 --> 01:50:51,000
 So they sell small investors down the river
1364
01:50:51,000 --> 01:50:58,319
 for their own career. That's what actually happens. Regulatory capture.
1365
01:50:58,319 --> 01:51:06,000
 Regulatory capture. Yeah, not good. So, the only reason I accepted that thing,
1366
01:51:06,000 --> 01:51:08,000
 but technically was a,
1367
01:51:08,000 --> 01:51:15,239
 not an admission, it's neither a minor than I a guilt but the only reason I agreed to
1368
01:51:15,239 --> 01:51:20,199
 that at all was because I was told Tesla would would be bankrupt otherwise.
1369
01:51:20,199 --> 01:51:26,319
 So if there if there was an SEC investigation like this, banks would suspend funding, we're bankrupt
1370
01:51:26,319 --> 01:51:28,399
 immediately at the time.
1371
01:51:28,399 --> 01:51:30,800
 Now we're in a much stronger position.
1372
01:51:30,800 --> 01:51:31,800
 Take that Grok.
1373
01:51:31,800 --> 01:51:36,600
 Yes, unfortunately it's Grock is taking too much from the
1374
01:51:36,600 --> 01:51:48,399
 conventional media. Also that guy who is not a cave diver. Oh there's a there's a time where Elon called a British
1375
01:51:48,399 --> 01:51:54,880
 cave diver a quote pido guy after he after the diver criticized Musk plant to rescue a group of boys trapped in
1376
01:51:54,880 --> 01:52:00,159
 a tie cave. That little Alburst earned him another lawsuit and he had to apologize and pay
1377
01:52:00,159 --> 01:52:04,880
 a settlement. That was false. There was no settlement. There was a court case which
1378
01:52:04,880 --> 01:52:11,520
 he which the guy who was not a cave diver and where I played it was not part of the rescue
1379
01:52:11,520 --> 01:52:14,000
 team
1380
01:52:17,000 --> 01:52:18,000
 Filed they lost it against me and lost and he received nothing
1381
01:52:23,199 --> 01:52:25,399
 So in this case it is wrong. It is also I guess taken this from the conventional media. Actually, there's an interesting question here.
1382
01:52:25,399 --> 01:52:26,399
 These are public court cases.
1383
01:52:26,399 --> 01:52:29,399
 Both the, the, the SEC civil case,
1384
01:52:29,399 --> 01:52:38,000
 where the civil complaints on the SEC guys lost unanimous jury verdict in San Francisco.
1385
01:52:38,000 --> 01:52:46,319
 They picked San Francisco because they thought it was the place I was most likely to lose and a unanimous verdict in my favor. The LA
1386
01:52:46,319 --> 01:52:51,600
 trial was also, they picked that the they picked that venue because I thought
1387
01:52:51,600 --> 01:52:52,920
 I was most likely lose.
1388
01:52:52,920 --> 01:52:56,399
 Unanimous verdict in my favor.
1389
01:52:56,399 --> 01:52:59,479
 Both cases I won.
1390
01:52:59,479 --> 01:53:00,479
 Yeah.
1391
01:53:00,479 --> 01:53:01,760
 There's an interesting question here.
1392
01:53:01,760 --> 01:53:04,640
 Is there seems to be a lot more
1393
01:53:06,399 --> 01:53:15,199
 clicks if a if a journalistic organization writes a negative article about you Elon Musk. That's like one of the best ways to get clicks.
1394
01:53:16,000 --> 01:53:20,560
 So how do you, if you're training Grog, not train on
1395
01:53:21,880 --> 01:53:27,000
 articles that have like the misaligned incentives.
1396
01:53:27,000 --> 01:53:32,000
 We need to add the training set of the actual legal decisions.
1397
01:53:32,000 --> 01:53:41,000
 So that is a note, this is actually helpful, because if you actually read the court, which are public.
1398
01:53:41,000 --> 01:53:47,239
 The court conclusions, they're completely the opposite of what the media wrote.
1399
01:53:47,239 --> 01:53:50,319
 So always striving for like the ground truth beyond the reporting.
1400
01:53:50,319 --> 01:53:55,119
 What did the judge actually write? What does the jury and the judge actually conclude?
1401
01:53:56,880 --> 01:54:02,399
 And in both cases they found me innocent. And like that's after the jury shop for the
1402
01:54:02,399 --> 01:54:04,720
 trying to find the venue where I'm most likely to lose.
1403
01:54:07,119 --> 01:54:10,960
 Now, I mean, this is obviously can be a much better critique than this.
1404
01:54:11,840 --> 01:54:15,600
 I mean, I've been far too optimistic about autopilot.
1405
01:54:15,600 --> 01:54:20,800
 That was the critique I got by the way was more about that which is it for each
1406
01:54:20,800 --> 01:54:24,399
 you broke down a nice bullet point list for each year of companies, the set of predictions
1407
01:54:24,399 --> 01:54:29,439
 that you made when it will deliver, when you'll be able to solve, for example, sell driving
1408
01:54:29,439 --> 01:54:31,439
 and it gives you like a list.
1409
01:54:31,439 --> 01:54:36,039
 And it was probably compelling in the basic takeaways, like you're often too optimistic
1410
01:54:36,039 --> 01:54:38,359
 about how long it takes to get something done.
1411
01:54:38,359 --> 01:54:40,800
 Yeah, I mean, I would say that I'm pathologically optimistic
1412
01:54:40,800 --> 01:54:42,039
 on schedule.
1413
01:54:42,039 --> 01:54:46,880
 This is true, but while I am sometimes late, I always
1414
01:54:46,880 --> 01:55:00,560
 deliver in the end. Except with Uber Lilith, no. Let's see. Okay, is there over the past year or so since since purchasing X you've
1415
01:55:00,560 --> 01:55:03,600
 become more political is there a part of you that regrets that?
1416
01:55:03,600 --> 01:55:04,600
 Have I?
1417
01:55:04,600 --> 01:55:06,840
 In this battle
1418
01:55:07,199 --> 01:55:09,399
 to
1419
01:55:09,399 --> 01:55:13,680
 sort of counter way the the woke that comes from.
1420
01:55:13,680 --> 01:55:16,199
 Yeah, I guess if you consider fighting the woke-wide virus,
1421
01:55:16,199 --> 01:55:18,279
 which I consider to be a civilizational threat,
1422
01:55:18,279 --> 01:55:20,079
 to be political, then yes.
1423
01:55:20,079 --> 01:55:24,399
 So basically going into the battle, the battle ground of politics.
1424
01:55:24,399 --> 01:55:26,600
 I mean, is there part of you they request that?
1425
01:55:26,600 --> 01:55:31,079
 Yes, I don't know if this is necessarily sort of one candidate or another candidate, but
1426
01:55:31,079 --> 01:55:36,640
 it's, I'm generally against things that are anti-meritocratic or
1427
01:55:36,640 --> 01:55:46,000
 where there's an attempt to suppress discussion, where even discussing a topic is, you know, not allowed.
1428
01:55:46,000 --> 01:55:50,000
 The woke mind virus is communism rebranded.
1429
01:55:50,000 --> 01:55:57,000
 Well, I mean, that said, because of that battle against the woke mind virus, you're perceived as being right wing.
1430
01:55:57,000 --> 01:56:01,000
 If the woke is left, then I suppose that would be true.
1431
01:56:01,000 --> 01:56:05,199
 But I'm not sure. I think there are aspects of the left that are good.
1432
01:56:05,199 --> 01:56:09,520
 I mean if you're in favor of, you know, the environment,
1433
01:56:10,640 --> 01:56:14,840
 or if you want to have a positive future for humanity, if you believe in empathy for your fellow
1434
01:56:14,840 --> 01:56:25,000
 human beings, you know, being kind and not cruel, whatever those values are. You said that you were previously left or center left.
1435
01:56:25,000 --> 01:56:28,000
 What would you like to see in order for you to
1436
01:56:28,000 --> 01:56:30,000
 vote for Democrats again?
1437
01:56:30,000 --> 01:56:37,880
 No, I would say that I'd be probably left of center on social issues, probably a little
1438
01:56:37,880 --> 01:56:40,560
 bit right of center on economic issues.
1439
01:56:40,560 --> 01:56:41,560
 And that still holds true.
1440
01:56:41,560 --> 01:56:43,079
 Yes, but I think that's probably
1441
01:56:43,920 --> 01:56:47,760
 you know half the country isn't that maybe more maybe more
1442
01:56:48,760 --> 01:56:51,119
 Are you and AOC secretly friends or
1443
01:56:56,239 --> 01:56:59,560
 bigger question do you wish you and her and just people in general of all political persuasions to talk more and with empathy and maybe
1444
01:56:59,560 --> 01:57:06,319
 have a little bit more fun and good vibes and humor on online. I'm always in favor of humor.
1445
01:57:06,319 --> 01:57:16,800
 That's where we have a funny moat. But good vibes, camaraderie humor, you know, like friendship. Yeah, well, I you know, I don't know
1446
01:57:16,800 --> 01:57:26,439
 AOCF, you know, I've only been at one look, I was at the the Metwell when she was when she attended and she
1447
01:57:26,439 --> 01:57:32,000
 she was wearing this dress but I can only see one side of it so it it looked like
1448
01:57:32,000 --> 01:57:35,399
 eat the itch but I don't know what
1449
01:57:35,399 --> 01:57:40,159
 the rest of it said yeah yeah so I'm not sure
1450
01:57:40,159 --> 01:57:43,680
 sorry about the it eat the edge I think we should have a language model complete.
1451
01:57:43,680 --> 01:57:49,920
 What are the possible ways to complete that sentence? And so I guess that
1452
01:57:49,920 --> 01:57:54,000
 that didn't work out well. Well, there's still hope.
1453
01:57:54,000 --> 01:57:55,000
 I root for friendship.
1454
01:57:55,000 --> 01:57:56,000
 Sure, sounds good.
1455
01:57:56,000 --> 01:57:58,000
 More realistic.
1456
01:57:58,000 --> 01:58:02,000
 You're one of, if not the most famous, wealthy and powerful people in the world.
1457
01:58:02,000 --> 01:58:02,800
 In your position is difficult to find powerful people in the world.
1458
01:58:02,800 --> 01:58:05,680
 In your position, it's difficult to find people you can trust.
1459
01:58:05,680 --> 01:58:07,560
 Trust no one, not even yourself, not trusting yourself.
1460
01:58:07,560 --> 01:58:11,560
 Okay, well, that's, you're saying I joke, but is there some last...
1461
01:58:11,560 --> 01:58:13,000
 Trust no one, not even no one.
1462
01:58:13,000 --> 01:58:21,000
 I need an hour just to think about that, maybe some drugs, and maybe Groc that.
1463
01:58:21,000 --> 01:58:25,000
 I mean, is there some aspect of that when just existing in a world where everybody wants
1464
01:58:25,000 --> 01:58:26,000
 something from you?
1465
01:58:26,000 --> 01:58:29,000
 How hard is it to exist in that world?
1466
01:58:29,000 --> 01:58:30,000
 I'll survive.
1467
01:58:30,000 --> 01:58:34,000
 There's a song like that too. I will survive.
1468
01:58:34,000 --> 01:58:36,000
 Will you petrified at first?
1469
01:58:36,000 --> 01:58:39,000
 Okay, I forget the rest of the lyrics.
1470
01:58:39,000 --> 01:58:42,000
 But is there, you don't struggle with this?
1471
01:58:42,000 --> 01:58:44,399
 I mean, I know you survive, but there's ways.
1472
01:58:44,399 --> 01:58:47,520
 Petrify is a spell in the droid tree.
1473
01:58:47,520 --> 01:58:48,840
 What does it do?
1474
01:58:48,840 --> 01:58:50,399
 Petrify.
1475
01:58:50,399 --> 01:58:54,640
 It turns the monsters into stone.
1476
01:58:54,640 --> 01:58:56,800
 Oh, like literally?
1477
01:58:56,800 --> 01:58:58,199
 Yeah, for like six seconds.
1478
01:58:58,199 --> 01:58:59,199
 Oh, the seconds.
1479
01:58:59,199 --> 01:59:02,399
 There's so much math in Diablo that breaks my brain.
1480
01:59:02,399 --> 01:59:04,000
 It's like math, non-stop.
1481
01:59:04,000 --> 01:59:08,000
 I mean, really, you're like laughing at it, but you don't...
1482
01:59:08,000 --> 01:59:12,000
 It can put a huge amount of tension on the mind.
1483
01:59:12,000 --> 01:59:14,399
 Yes, it can be definitely stressful at times.
1484
01:59:16,079 --> 01:59:21,439
 Well, how do you know who you can trust in work and personally? I mean, I guess you look at
1485
01:59:21,439 --> 01:59:26,239
 somebody's tracker, good, over timetime and if they've got a trip, you know, I guess you kind of
1486
01:59:26,239 --> 01:59:28,840
 use your neural net to assess
1487
01:59:29,479 --> 01:59:31,479
 you know, someone and
1488
01:59:31,479 --> 01:59:33,479
 Neural nuts don't feel pain.
1489
01:59:33,479 --> 01:59:35,239
 Your neural nut has consciousness.
1490
01:59:35,239 --> 01:59:37,560
 It might feel pain when people betray you.
1491
01:59:39,479 --> 01:59:40,720
 It can make a circle.
1492
01:59:40,720 --> 01:59:42,159
 You know, to be frank, I mean,
1493
01:59:42,159 --> 01:59:45,000
 I've almost never been betrayed.
1494
01:59:45,000 --> 01:59:48,000
 It's very, very rare.
1495
01:59:48,000 --> 01:59:50,000
 So, you know, for what it's worth.
1496
01:59:50,000 --> 01:59:53,279
 I guess karma would be good to people, and they'll be good to you.
1497
01:59:53,279 --> 01:59:54,279
 Yeah, calm is real.
1498
01:59:54,279 --> 01:59:57,000
 Are there people you trust?
1499
01:59:57,000 --> 02:00:00,000
 Let me edit that question.
1500
02:00:00,000 --> 02:00:04,319
 Are there people close to you that call you out in your bullshit?
1501
02:00:04,319 --> 02:00:07,760
 Well, the X-platform is very helpful for that.
1502
02:00:07,760 --> 02:00:10,960
 If you're looking for critical feedback.
1503
02:00:10,960 --> 02:00:15,720
 Can it push you into the extremes more? The extremes of
1504
02:00:15,720 --> 02:00:20,680
 thought make you cynical about human nature in general? I don't think I will
1505
02:00:20,680 --> 02:00:39,840
 be cynical. In fact't think I will be cynical. In fact, I think, you know, my feeling is that one should be, you know, never trust a cynic. The reason is that cynics excuse their own bad behavior by
1506
02:00:39,840 --> 02:00:44,840
 saying everyone does it. They're because they're cynical.
1507
02:00:44,840 --> 02:00:49,000
 So I always be, it's a red flag if someone's a cynic, a true cynic.
1508
02:00:49,000 --> 02:00:56,000
 Yeah, there's a degree of projection there that's always fun to watch from the outside and enjoy the hypocrisy.
1509
02:00:56,000 --> 02:01:02,000
 If, but this is an important point that I think people are listening should bear in mind.
1510
02:01:02,000 --> 02:01:05,199
 If somebody is cynical, meaning
1511
02:01:05,199 --> 02:01:10,319
 that they see bad behavior in everyone, it's easy for them to excuse their own
1512
02:01:10,319 --> 02:01:16,000
 bad behavior by saying that, well, everyone does it.
1513
02:01:16,000 --> 02:01:17,000
 It's not true.
1514
02:01:17,000 --> 02:01:22,000
 I, most people are kind of medium good.
1515
02:01:22,000 --> 02:01:23,640
 I do wish the people Most people are kind of medium good.
1516
02:01:23,640 --> 02:01:29,439
 I do wish the people on X will be better at seeing the good in other people's behavior.
1517
02:01:29,439 --> 02:01:36,720
 There seems to be a kind of weight towards seeing the negative. Somehow the negative is sexier.
1518
02:01:36,720 --> 02:01:42,199
 Interpreting the negative is sexier, more viral. I don't know what that is
1519
02:01:42,199 --> 02:01:44,560
 exactly about human nature. I mean I find
1520
02:01:44,560 --> 02:01:48,840
 the X-platform to be less negative than the legacy media, you know. I mean if
1521
02:01:48,840 --> 02:01:57,000
 you read sort of a sort of conventional newspapers just it makes you sad, frankly.
1522
02:01:57,000 --> 02:02:05,600
 Whereas, I'd say on the X-platform, I mean mean I really get more laughs per day on X than
1523
02:02:05,600 --> 02:02:08,880
 everything else combined from humans. You know.
1524
02:02:08,880 --> 02:02:26,000
 laughs is one thing. It laughs is it overlaps but it's not necessarily perfectly overlapping with like good vibes and support, like, celebrating others for example. Not in a stupid, shallow, naive way, but like in an awesome,
1525
02:02:26,000 --> 02:02:29,199
 like, oh, something awesome happened and you celebrate them for it.
1526
02:02:29,199 --> 02:02:33,079
 It's, it feels that that is outweighed by
1527
02:02:38,720 --> 02:02:46,000
 Shitting and other people now is better than mainstream media but it's still yeah Mistry media is almost relightlessly negative about everything. It's, I mean, really the conventional news tries to answer the question,
1528
02:02:46,000 --> 02:02:48,000
 what is the worst thing that happened on Earth today?
1529
02:02:48,000 --> 02:02:50,000
 And it's a big world.
1530
02:02:50,000 --> 02:02:53,000
 So on any given day, something bad has happened.
1531
02:02:53,000 --> 02:02:58,000
 And a generalization of that, what is the worst perspective I can take on a thing that happened?
1532
02:02:58,000 --> 02:02:59,000
 So...
1533
02:02:59,000 --> 02:03:03,000
 Yeah, it's... I don't know, there's just a strong negative bias in the news.
1534
02:03:06,000 --> 02:03:10,000
 I mean, I think there's what the possible explanation for this is evolutionary.
1535
02:03:12,000 --> 02:03:18,000
 Where, you know, bad news historically would be potentially fatal.
1536
02:03:18,000 --> 02:03:21,000
 Like, there's lion over there or there's some other tribe that wants to kill you.
1537
02:03:21,000 --> 02:03:26,079
 Good news, you know, like we found a patch of berries is
1538
02:03:26,079 --> 02:03:37,000
 nice to have but not essential. So our old friend, Tesla autopilot, and it's probably one of the most intelligent real-world AI systems in the world.
1539
02:03:37,000 --> 02:03:40,000
 Right, do you follow it from the beginning?
1540
02:03:40,000 --> 02:03:44,000
 Yeah, it was one of the most incredible robots in the world and continues to be.
1541
02:03:44,000 --> 02:03:45,600
 And it was really exciting.
1542
02:03:45,600 --> 02:03:52,199
 And it was super exciting when it generalized, became more than a robot on four wheels,
1543
02:03:52,199 --> 02:03:56,000
 but a real-world AI system that perceives
1544
02:03:56,000 --> 02:03:57,000
 the world.
1545
02:03:57,000 --> 02:03:58,000
 Yeah.
1546
02:03:58,000 --> 02:04:02,000
 And it can have potential different embodiments.
1547
02:04:02,000 --> 02:04:07,319
 Well, I mean, the really wild thing about the end-to-end training is that it learns to read,
1548
02:04:07,319 --> 02:04:19,359
 you can read signs, but we never told it to read. So, yeah, we never taught it what, we never taught it what a car was or what a person was
1549
02:04:19,359 --> 02:04:28,000
 or a bicyclist. it learnt what all those things are, what all the objects are on the road,
1550
02:04:30,000 --> 02:04:33,680
 from video, just from watching video, just like humans.
1551
02:04:33,680 --> 02:04:38,159
 I mean, humans are photons and controls out.
1552
02:04:38,159 --> 02:04:40,560
 Like, the vast majority of information
1553
02:04:40,560 --> 02:04:43,000
 reaching our brain is from our eyes.
1554
02:04:43,000 --> 02:04:45,560
 And you say, well, what's the output?
1555
02:04:45,560 --> 02:04:52,199
 The output is our motor signals to our, you know, sort of fingers and mouth in order to
1556
02:04:52,199 --> 02:04:53,000
 communicate.
1557
02:04:55,000 --> 02:04:57,000
 Photons and controls out.
1558
02:04:57,000 --> 02:04:59,000
 The same is true of the car.
1559
02:05:01,000 --> 02:05:08,960
 But by looking at the sequence of images, you've agreed with Ilias Skava recently, where
1560
02:05:08,960 --> 02:05:14,159
 he talked about LLM forming a world model and basically language is a projection of that world model
1561
02:05:14,159 --> 02:05:20,079
 onto the sequence of letters and you saying that... It finds order in these things.
1562
02:05:20,079 --> 02:05:25,000
 It finds a correlative clusters.
1563
02:05:25,000 --> 02:05:31,000
 In so doing, it's like understanding something deep about the world.
1564
02:05:31,000 --> 02:05:32,000
 Yeah.
1565
02:05:32,000 --> 02:05:36,640
 Which is like, it's beautiful. That's how our brain works.
1566
02:05:38,079 --> 02:05:42,479
 Yeah, but it's as beautiful. Protons and controls out. Neural nuts are able to understand that deep
1567
02:05:42,479 --> 02:05:43,279
 meaning in the world.
1568
02:05:43,279 --> 02:05:49,079
 And so the question is how far can it go? And it does seem everybody's excited
1569
02:05:49,079 --> 02:05:54,000
 about LLMs, so in the space of self-supervised learning in the space of text.
1570
02:05:54,000 --> 02:05:55,000
 Yeah.
1571
02:05:55,000 --> 02:06:04,439
 It seems like there's a deep similarity between that and what Tesla Autopolis is doing.
1572
02:06:04,439 --> 02:06:06,439
 Is it to you basically the same?
1573
02:06:06,439 --> 02:06:08,840
 They are converging.
1574
02:06:08,840 --> 02:06:10,720
 They are converging.
1575
02:06:10,720 --> 02:06:14,319
 I wonder who gets there faster, having a deep understanding of the world.
1576
02:06:14,319 --> 02:06:18,560
 Or they just will naturally converge.
1577
02:06:18,560 --> 02:06:21,039
 They're both headed towards AGI.
1578
02:06:21,039 --> 02:06:27,000
 The Tesla approach is much more computer efficient. It had to be, because
1579
02:06:28,159 --> 02:06:32,600
 we were constrained on this, you know, we only have 100 watts.
1580
02:06:36,000 --> 02:06:42,199
 And 8 computer, 144 trillion operations per second,
1581
02:06:42,199 --> 02:06:44,600
 which sounds like a lot, but it's kind of small
1582
02:06:44,600 --> 02:06:50,920
 potatoes these days. At end date but it's understanding the world at in date
1583
02:06:50,920 --> 02:06:58,640
 slightly truour 56 values. But there the path to AGI might have much more
1584
02:06:58,640 --> 02:07:07,359
 significant impact because it's understanding, it'll faster understand the real world than will LLMs.
1585
02:07:07,359 --> 02:07:15,760
 And they're both for be able to integrate with the real, the humans in the real world faster? They're both going to understand the world
1586
02:07:15,760 --> 02:07:21,600
 but I think Tesla's approach is fundamentally more computer efficient. It had
1587
02:07:21,600 --> 02:07:24,680
 to be. There was no choice. Like our brain is very
1588
02:07:24,680 --> 02:07:29,079
 computer efficient, very very energy efficient. So think of like what is our
1589
02:07:29,079 --> 02:07:37,319
 brain able to do? You know, there's only about 10 watts of higher brain function, not counting stuff that's just used
1590
02:07:37,319 --> 02:07:39,439
 to control our body.
1591
02:07:39,439 --> 02:07:47,359
 The thinking part of our brain is less than 10 watts. And that 10 watts can still produce a much better novel
1592
02:07:47,359 --> 02:07:52,199
 than a 10 megawatt GPU cluster. So there's a six-order magnitude difference
1593
02:07:52,199 --> 02:07:54,000
 there's a six order of magnitude difference there.
1594
02:07:54,000 --> 02:08:08,000
 I mean, the AI has thus far gotten to where it is via brute force, just throwing massive amounts of compute and massive amounts of power at it.
1595
02:08:08,000 --> 02:08:15,000
 So, this is not where it will end up.
1596
02:08:19,000 --> 02:08:20,000
 In general, with any given technology, you first try to make it work, and then you make it efficient.
1597
02:08:30,119 --> 02:08:37,920
 So I think we'll find over time that these models get smaller are able to produce sensible output with far less compute, far less power. Tesla is arguably ahead
1598
02:08:37,920 --> 02:08:50,000
 of the game on that front because it has we've just been forced to try to understand the world with a hundred watts of compute.
1599
02:08:50,000 --> 02:08:56,000
 And there are a bunch of sort of fundamental functions that we kind of forgot to include,
1600
02:08:56,000 --> 02:08:59,000
 so we have to run them in a bunch of things in emulation.
1601
02:08:59,000 --> 02:09:04,560
 We fixed a bunch of those with hardware four and then hardware five will be even better
1602
02:09:07,680 --> 02:09:16,960
 But it disappeared at this point that the car will be able to drive better than a human, even with hardware
1603
02:09:16,960 --> 02:09:20,920
 three and a hundred watts of hour.
1604
02:09:20,920 --> 02:09:27,000
 And really, if we really optimize it, it could be less than 50 watts.
1605
02:09:27,000 --> 02:09:31,000
 What have you learned about developing optimists?
1606
02:09:31,000 --> 02:09:36,560
 About applying, integrating this kind of real-world AI into the space
1607
02:09:36,560 --> 02:09:47,000
 of robotic manipulation, just humanoid robotics. What is some interesting, tiny or big things you've understood?
1608
02:09:47,000 --> 02:09:54,159
 I was surprised at the fact that we had to develop every part of the robot ourselves. That there were no off-the-shelf,
1609
02:09:54,159 --> 02:10:07,359
 motors, electronics, sensors, like we had to develop everything. We couldn't we couldn't actually find a source of
1610
02:10:07,359 --> 02:10:12,079
 electric motors for any amount of money.
1611
02:10:12,079 --> 02:10:16,399
 So it's not even just efficient, inexpensive, it's like anything.
1612
02:10:16,399 --> 02:10:17,399
 There's not a...
1613
02:10:17,399 --> 02:10:18,399
 No.
1614
02:10:18,399 --> 02:10:20,399
 So the actuators everything.
1615
02:10:20,399 --> 02:10:23,439
 Everything has to be designed from scratch.
1616
02:10:23,439 --> 02:10:27,840
 We try it hard to find anything that was, because you think of how many electric motors
1617
02:10:27,840 --> 02:10:33,640
 have made in the world, there's like tens of thousands, hundreds of thousands of electric motor designs
1618
02:10:37,199 --> 02:10:40,479
 None of them were suitable for a human right robot literally none
1619
02:10:41,920 --> 02:10:49,920
 So we had to develop our own design it specifically for what a
1620
02:10:49,920 --> 02:10:55,600
 a humanoid robot needs. How hard was it to design something that can be mass manufactured, could be relatively
1621
02:10:55,600 --> 02:10:56,600
 expensive?
1622
02:10:56,600 --> 02:11:02,159
 I mean if you compare to Boston Dynamics Atlas, it's a very expensive robot.
1623
02:11:02,159 --> 02:11:05,520
 It is designed to be manufactured in the same way they would make a car
1624
02:11:05,520 --> 02:11:11,560
 and I think ultimately we can make optimistful less than the cost of a car. It
1625
02:11:11,560 --> 02:11:17,680
 should be because if you look at the mass of the robot it's much smaller and the car
1626
02:11:17,680 --> 02:11:21,199
 has many actuators in it.
1627
02:11:21,199 --> 02:11:23,000
 The car has more actuators than the robot.
1628
02:11:23,000 --> 02:11:28,000
 But there is, the actuators are kind of interesting in a human-eyed robot with the fingers.
1629
02:11:28,000 --> 02:11:32,000
 So Optimus is really nice hands and fingers, you know.
1630
02:11:32,000 --> 02:11:33,000
 Yeah.
1631
02:11:33,000 --> 02:11:36,000
 And they could do some interesting manipulation.
1632
02:11:36,000 --> 02:11:38,000
 So soft touch, robotics.
1633
02:11:38,000 --> 02:11:41,000
 I mean, one of the tests I have
1634
02:11:41,000 --> 02:11:46,800
 is can pick up a needle and a thread and thread the needle just
1635
02:11:46,800 --> 02:11:52,079
 by looking. How far away from that just by looking just by looking? Maybe a year.
1636
02:11:52,079 --> 02:11:56,439
 Although I go back to I'm optimistic on time. The work
1637
02:11:56,439 --> 02:12:00,960
 that we're doing in the car will translate to the robot. The perception or the also the
1638
02:12:00,960 --> 02:12:05,840
 control? No, the controls are different, but the video-in controls out.
1639
02:12:07,439 --> 02:12:15,000
 The car is a robot and four wheels. The optimist is a robot with the hands and legs.
1640
02:12:15,000 --> 02:12:16,000
 So you can just...
1641
02:12:16,000 --> 02:12:18,000
 They're very similar.
1642
02:12:18,000 --> 02:12:20,000
 So the entire machinery of the learning process
1643
02:12:20,000 --> 02:12:24,359
 and to end is just you just have a different set of controls. After this we'll
1644
02:12:24,359 --> 02:12:29,760
 figure out how to do things by watching videos. As the saying goes be kind for
1645
02:12:29,760 --> 02:12:33,279
 everyone you meet is fighting a battle you know nothing about.
1646
02:12:33,279 --> 02:12:34,279
 Yeah, it's true.
1647
02:12:34,279 --> 02:12:35,800
 What's something difficult you're going through
1648
02:12:35,800 --> 02:12:37,279
 that people don't often see?
1649
02:12:38,239 --> 02:12:51,680
 Trying to feed evil. No, I mean, you know, I mean, my mind is a storm.
1650
02:12:52,399 --> 02:12:56,500
 And I don't think, I don't think most people would want to be me.
1651
02:12:56,500 --> 02:12:59,000
 They may think they'd want to be me, but they don't, they don't know.
1652
02:12:59,000 --> 02:13:16,000
 They don't understand. How are you doing? I'm in overall okay.
1653
02:13:16,000 --> 02:13:20,000
 In the grand scheme of things I can't complain.
1654
02:13:20,000 --> 02:13:22,000
 Do you get lonely?
1655
02:13:22,000 --> 02:13:24,000
 Sometimes. You get lonely?
1656
02:13:30,000 --> 02:13:41,000
 Sometimes, but I, you know, my kids and friends keep me company. So not existential. There are many nights I sleep alone. I don't have to
1657
02:13:41,000 --> 02:13:46,000
 but I do.
1658
02:13:50,000 --> 02:13:57,000
 Walter Isaacson, in his new biography of you, wrote about your difficult childhood. Will you ever find forgiveness in your heart for everything that has happened to you in that period of your life?
1659
02:13:57,000 --> 02:14:02,000
 What is forgiveness?
1660
02:14:02,000 --> 02:14:04,000
 I do not...
1661
02:14:04,000 --> 02:14:08,000
 At least I don't think I have a resentment.
1662
02:14:08,000 --> 02:14:10,000
 Um...
1663
02:14:17,000 --> 02:14:26,539
 So... So, I think to forgive. You know, forgiveness is difficult for people. It seems like you don't harbor the
1664
02:14:26,539 --> 02:14:31,840
 resentment. I mean I try to think about like what what is going to affect the
1665
02:14:31,840 --> 02:14:34,560
 future in a good way?
1666
02:14:34,560 --> 02:14:39,640
 And holding on to grudges does not affect the future
1667
02:14:39,640 --> 02:14:41,199
 in a good way.
1668
02:14:41,199 --> 02:14:48,000
 Your father, a proud father, what have you learned about life from your kids?
1669
02:14:48,000 --> 02:14:59,840
 Those little biological organisms. I mean developing AI and watching say little X grow is fascinating
1670
02:14:59,840 --> 02:15:07,000
 because they there are formal parallels than I would have expected.
1671
02:15:07,000 --> 02:15:14,000
 I mean, I can see his biological neural net making more and more sense of the world.
1672
02:15:14,000 --> 02:15:17,000
 And I can see the digital neural net making more and more sense of the world at the same
1673
02:15:17,000 --> 02:15:18,000
 time.
1674
02:15:18,000 --> 02:15:21,000
 Do you see the beauty and magic in both?
1675
02:15:21,000 --> 02:15:29,840
 Yes. I mean one of the things with kids is that you know you
1676
02:15:29,840 --> 02:15:34,000
 you kind of see the world are new in their eyes.
1677
02:15:40,000 --> 02:15:45,000
 You know, to them, everything is new and fresh. And then when you see that them experience,
1678
02:15:45,640 --> 02:15:49,279
 the world is new and fresh, you do too.
1679
02:15:57,920 --> 02:16:05,000
 Well, Elon, I just wanna to say thank you for your kindness to me and friendship over the years for seeing something in a silly kid like me, as you've done for many others and thank you
1680
02:16:05,000 --> 02:16:09,840
 for having hope for a positive future for humanity and for working your ass
1681
02:16:09,840 --> 02:16:15,119
 off to make it happen. Thank you on. Thanks, Lex. Thank you for listening to this conversation
1682
02:16:15,119 --> 02:16:20,159
 with Elon Musk. To support this podcast, please check out our sponsors in the description.
1683
02:16:20,159 --> 02:16:24,880
 And now, let me leave you with some words that Walter Isaacson wrote about the central
1684
02:16:24,880 --> 02:16:29,520
 philosophy of how Elon approaches difficult problems.
1685
02:16:29,520 --> 02:16:34,879
 The only rules are the ones dictated by the laws of physics.
1686
02:16:34,879 --> 
 Thank you for listening, and I hope to see you next time. you know,

이 srt 파일의 내용을 한국어로 번역해 줘.