02/02/2026 - Google's Genie 3: Generating Dynamic 3D Worlds and Stepping Inside Movies

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0:02 Chippy.
0:05 [music]
0:17 [music]
0:20 Ah.
0:22 [music]
0:33 >> [music]
0:38 >> Come here, Champy. Come here.
0:40 Come here. [clears throat]
0:43 Come on, buddy.
0:47 All right.
0:54 >> [music]
0:59 [music]
1:04 [music]
1:15 [music]
1:17 >> stand between
1:20 me.
1:29 >> [clears throat]
1:34 >> Wow. [music]
1:38 Woohoo.
1:43 Woohoo.
1:48 Woohoo.
2:07 Standing between
2:10 you and hard places is insane.
2:14 [music]
2:17 Standing too near
2:20 you. [singing] And a fire makes it
2:22 clear. [music]
2:27 You're trouble [singing] to me.
2:31 [music]
2:33 Red rubble caves. You say
2:39 leaning in close. [music]
2:42 Smell of your perfume. [singing] It
2:44 scares me most.
2:48 >> [music]
2:50 >> leaning away. [singing]
2:54 [music]
3:03 [music]
3:09 [music]
3:11 I woke up this morning with crusty eye.
3:14 [laughter]
3:15 You ever get crusty eye where you just
3:18 got a little gunk in it, won't go out,
3:20 can't get rid of it. [clears throat]
3:22 And then as the day went on, crusty eye
3:25 turned into, "Oh [ __ ] I'm getting
3:27 sick." Which, by the way, two weeks ago
3:29 when I said I was getting sick, I think
3:30 I took even a night off and to sleep it
3:33 off. That was a flu.
3:35 And that I I staved it off. That
3:37 actually worked. That was going to be a
3:39 bad one. And I staved it off. This one's
3:41 a cold. I'm pretty sure this is a cold,
3:43 [music] but uh I feel like crap.
3:47 So, I'm probably not going to be here
3:49 too long tonight. Let me wax poetic a
3:52 little bit. [music]
3:55 Talk about tomorrow night we have an AI
3:57 Salon Presents meeting.
4:00 [music]
4:08 I had a we we had a really nice run of
4:11 events the past this past week. We had I
4:14 think four events. We had
4:17 Corey Sandler was there on Saturday with
4:20 her uh with her LOL
4:23 and uh we had Friday night or Friday we
4:27 had Daisy Thomas and myself were talking
4:28 about Washington DC. We had a really
4:31 good crowd for that. Normally
4:32 [clears throat] when you do those
4:34 political things like hey do you want to
4:35 talk about politics and policy you get
4:38 like one or two nerds will show up like
4:41 policy is actually very important. I
4:43 don't I I don't know if you understood
4:45 this but uh the way the legislature
4:48 works let me explain this to you. It's
4:50 it's a relatively interesting process.
4:53 You know there's a lot of that going on.
4:55 Not a lot of eye contact. Little little
4:57 nerding out. This was like it was like I
5:00 don't know 15 people showed up 16 20 I
5:03 don't know a lot. They were engaged and
5:06 they were passionate. It was it was very
5:08 exciting.
5:10 [clears throat]
5:12 Tomorrow we've got uh AI Salon Presents.
5:16 Uh we're meeting Diamando
5:19 uh Stratacus I think is how you say her
5:21 last name. [music]
5:22 really fascinating woman that Brandon
5:24 discovered and I had a a fun
5:27 conversation with her. She is a a
5:30 theater person. She's a theatrical,
5:34 which the one thing we know about
5:35 theatricals is you don't trust
5:37 theatricals.
5:39 Whatever you do, for the love of God, if
5:40 you meet a theatrical, you run the other
5:42 direction. You just you don't if if a
5:47 theatrical ever decides to start, you
5:50 know, like a like a channel where
5:53 they're going to educate you on
5:54 something, I would avoid it. I would
5:57 avoid it. I think it's just the smart
5:59 it's the wise thing to
6:02 and sure that's what this channel is.
6:04 But that's not the point.
6:07 You come here for hair fashion
6:10 fashion tips and and and hair product
6:12 reviews. That's why you're here. [music]
6:17 Just don't trust theatricals. So, she's
6:19 a theatrical.
6:26 [music]
6:30 Silverf Fox, I'm a political junkie. It
6:32 was a great presentation. Thank you so
6:33 much, Silverf Fox. I was really glad you
6:35 were there. Um, I was really glad
6:37 everyone was there. It was just there
6:38 was there was really good engagement.
6:40 Thespian. I am a thesian. I am a
6:43 thespian. I [clears throat] am a
6:45 thespian without a voice. My voice
6:47 tonight. I could play certain characters
6:50 very well. Those with some sort of
6:53 scratchy voice like they've lived life
6:55 too long. They've smoken too many of the
6:57 things you're not supposed to smoke, if
7:00 you know what I mean. [laughter]
7:04 [music]
7:08 [laughter]
7:11 Archetype. I show up because I'm in awe
7:14 of your toupe. That's that's really it's
7:16 actually one of the misconceptions. This
7:18 is not a toupe. It's actually four tupes
7:22 artfully woven together and then crafted
7:26 like a sculpture to appear
7:29 like a bad haircut.
7:32 Because who would pay for this to be
7:35 glued to their head every day, right?
7:39 It's kind of a reverse psychology toup
7:41 to pay management system. I saw a video
7:44 once and I bought the product and I
7:47 think it's good. Like one of their
7:49 things was if you've got a toupe, don't
7:51 have your hairline too far down your
7:54 forehead.
7:55 It'll give it away. You're old.
7:58 You know, you're old. You're not going
8:01 to have hair down here. Show your
8:03 wisdom. Show your wisdom. That was one
8:06 of the taglines of the video.
8:08 And then they showed us, you know, here
8:09 are the four toup pays you buy. Here's
8:11 how you weave them together. I won't
8:12 show you where the seams are. It's
8:13 obvious to me.
8:18 [sighs]
8:20 [music]
8:21 We're in Cindy [ __ ] Cindy [ __ ] today.
8:24 So, here's the deal. [music]
8:30 How many folks are in here? Oh, just a
8:31 small [music] little crowd tonight.
8:34 If you're not in the mastermind at the
8:36 AI salon, it it would be a good time to
8:39 get in it. Um Cindy [ __ ] kicked off her
8:42 um four-week pilot today turning
8:45 practice into practice into what was it
8:49 called? Practice into something
8:51 practicality something like that.
8:55 She talked about post-it notes.
8:58 She talked about how as a neurode
9:00 divergent ADHD
9:02 manages everything in her head human
9:05 being
9:07 that she realized that trying to manage
9:09 all this crap in her head like she's
9:11 always done wasn't serving her anymore.
9:14 And so she gave herself permission.
9:17 What if
9:20 I figured out a way to organize this
9:22 [ __ ] in my head?
9:24 um and and she discovered it with
9:27 post-it notes and and so she shared the
9:29 system that she's developed over the
9:31 past 4 months that has changed literally
9:34 changed her life. Um and that's the kind
9:37 of stuff that's in the mastermind we do.
9:39 This week we're not going to have a a a
9:41 salon presents but we kick off a new
9:43 cycle a week from Thursday.
9:47 And then today, one of the things I'll
9:49 talk about tonight is I kicked off today
9:52 I launched
9:55 the um the great repurpose
9:59 which is the um I don't even know what
10:01 it is right [music] now. It is a
10:03 container, a framework. God, I have
10:06 goopy eye.
10:09 Um,
10:10 [clears throat]
10:12 it's a framework about the fact that
10:16 especially here in the US, so many of
10:19 us, including myself, as someone who's
10:22 creative and always calls myself an
10:24 artist, when someone at a party says to
10:26 me, "What do you do?" or "Who are you?"
10:28 or "Tell me about yourself." I'm like,
10:30 "Well, I'm the co-founder of this and
10:31 I'm the CEO of that." And I'm
10:34 I leave with my job. I leave with my
10:37 work.
10:39 And so
10:41 so many people have the idea of what
10:44 they do for a living collapsed with who
10:48 they are as a person with their value
10:51 and their self-worth. And so the great
10:53 repurpose
10:55 is this idea that to the extent that
10:58 you've got those two things collapsed
11:01 as AI automates the tasks of your job,
11:05 it's it's very likely we're we're all
11:08 going to go through some sort of weird
11:10 kind of
11:12 mourning process and like devaluing not
11:15 just of our job but of ourselves.
11:18 And what if there were a way through
11:20 that? And so that's what the great
11:21 repurpose is. And the the more that I
11:24 think about it, the more that as I was
11:26 writing it this weekend and and really
11:28 figuring out what is the what's the core
11:30 thesis here. So what I presented today
11:32 on LinkedIn was the core thesis of the
11:36 great repurpose. And it got a lot of uh
11:39 it got a lot of engagement which
11:41 sometimes I put up posts that I'm like
11:43 this is big and important. You people
11:45 should pay attention.
11:47 [clears throat]
11:49 And while I was really proud of this
11:51 one, I actually didn't have that
11:52 expectation with this one. And it got a
11:54 lot of engagement. So, it's resonating
11:56 with a lot of people.
12:00 [music]
12:01 And so, we're going to create within the
12:02 mastermind. One of the things that we're
12:04 talking about right now is we're going
12:06 to create a a a specific space for the
12:09 great repurpose. and we're going to
12:11 bring in speakers and we're going to
12:13 come up with things, tools, you know,
12:17 and if you're part of the mastermind,
12:18 you'll [clears throat] get to be part of
12:19 those activities and and that resource.
12:23 [music]
12:24 Um Oh, I didn't create a Hang on. I
12:27 didn't create a I didn't create a black
12:30 bar window. People, for you people on
12:32 TikTok, I know you can't read your text
12:34 right now. That's by design. producer
12:37 Brandon.
12:39 Um, black
12:42 rectangle.
12:45 I'm sure there's a better way to do
12:47 this. [laughter]
13:05 Open image in new tab.
13:10 There we go. Fantastic, Bob. Hey, Bob.
13:14 Yeah, that's really fantastic. What
13:16 you're doing there, you're doing God's
13:19 work. I'll tell you what with that right
13:21 now, you're doing fantastic. It's really
13:25 the work you do here on the channel,
13:28 you know, getting people to talk about
13:30 that artificial intelligence. I mean,
13:32 you know, let's be honest, it's it's the
13:34 work of Beelzebub. [laughter]
13:38 That artificial intelligence, I don't
13:40 know if it's intelligent, but it sure is
13:42 scary as sin. [laughter]
13:47 Oh, Lord.
13:49 Good lord.
13:52 All right. I hear it's I hear it's You
13:55 know what I hear about the the
13:56 artificial intelligence is uh I hear
13:59 that the the students love it because
14:02 they they just cheat with it. All they
14:05 do is cheat. They don't even work
14:07 anymore. They just put in there, hey
14:11 AI, make the thing paper.
14:17 I worked hard in school. I mean, sure,
14:19 like I, you know, C minuses, you know,
14:22 on good days, but but anyway, that like
14:25 I think I mean, more power to them. The
14:28 students are just, they're radical,
14:29 aren't they? They're like, "We're going
14:31 to use the computers to cheat for you
14:34 teachers."
14:36 [laughter]
14:38 You know what else I heard? They're
14:40 making pictures with it, too. I I think
14:43 it's just I I'll tell you what, from
14:45 what I've seen, it's it's uh it's a lot
14:48 of those uh [laughter]
14:50 the Japanese anime, a lot of
14:55 a lot of lot of topheavy topheavy women,
14:58 well, girls, whatever they do in that
15:01 the anime, that's it's crazy. It's
15:04 crazy. They're they're making the
15:06 pictures like that. That's what I hear.
15:08 And uh and yeah, then apparently it's
15:11 just going to take all the jobs. Going
15:13 to take all the jobs. So yeah, you know,
15:19 [laughter]
15:20 15 months and you haven't bookmarked a
15:22 black bar yet. That that is correct. You
15:25 are correct, producer Brandon.
15:28 [laughter]
15:31 I don't know if you if Hey, if you're
15:34 new here, my name is Kyle Shannon. What
15:36 we talk about on this here channel is
15:38 the AI because it's called the AI
15:41 learning lab. If it were just called the
15:43 learning lab, I could I could teach you
15:45 guys juggling. Uh but as it is, it's
15:48 we're just going to talk about like the
15:50 artificial intelligence version of
15:51 juggling. Like when the robots can start
15:54 juggling. Sure, we'll talk about that.
15:56 [music]
16:01 Um,
16:03 because I have a cold,
16:07 I can't be held responsible for anything
16:09 I say tonight.
16:11 [music]
16:19 [music]
16:22 Yeah. Molt book. We'll talk about molt
16:23 book tomorrow.
16:27 >> [music]
16:32 >> We'll just blame the benadryil. I
16:34 actually got Alka-Seltzer. Alka-Seltzer
16:37 severe cold,
16:40 which I don't have a severe cold. It's
16:42 just a cold. I'm just like I'm just like
16:45 icky and whiny. Like when I had my flu
16:47 that was like that felt really bad. This
16:50 is just [clears throat]
16:52 this is the kind of level of cold where
16:55 you're justified in going.
16:58 You don't wanna
17:04 agents are exhausting. They just keep
17:07 working. They just keep going. Could
17:09 they stop and take a break?
17:12 Yeah,
17:17 [laughter]
17:18 you should ask Chad GP if you do to
17:20 defend them defend the man cold. Well,
17:22 I'll tell you what. I [clears throat]
17:24 mean, I really do believe this
17:27 that that women just regularly go
17:30 through [clears throat] just more pain,
17:33 more pain in the ass. Their bodies rebel
17:36 against them. And like when men get a
17:38 little sniffle, they're like, "I gotta
17:40 be taken care of. Could someone give me
17:42 a hug and a blanket? Could I have soup?"
17:46 [laughter]
17:48 We're really insufferable as as as
17:51 entities.
17:55 [music]
17:59 [laughter]
18:00 I have to travel with that kind of
18:02 Alka-Seltzer.
18:03 Yeah. One of the things that I've
18:05 learned uh over the years with travel
18:08 for me is uh
18:11 if I don't want a headache when I land,
18:13 take something like Sudafed before the
18:15 flight. Just make sure everything's
18:16 cleaned out because the [snorts] when
18:18 you're when you're congested and the
18:20 pressure does its thing, it just shoves
18:22 it into all the cavities. So if you're
18:25 if you're decently cleaned out and
18:26 hydrate on the flight, then you kind of
18:28 land and you're okay.
18:32 >> [music]
18:40 >> The other night on the live, was it
18:43 Friday night? [music]
18:45 Yeah, Friday night.
18:47 I created a song for the great repurpose
18:50 and then I created a bunch of images and
18:53 then it was like 10 something and I'm
18:55 like, I don't think I'm going to make
18:56 the video.
18:59 Maybe I'll make it next week. I ended up
19:01 making it that night. So, I should show
19:04 you that. Hang on.
19:08 I'm pretty happy with how it came out. I
19:11 actually did some storytelling rather
19:13 than just being a series of images. I
19:16 don't know if you remember this. So, the
19:17 process was
19:20 I went into the chat. So, I've got a
19:22 project for the great repurpose. So,
19:24 I've got all of our chats are in a
19:26 single project. We went out and we did
19:28 research. We put that in the project.
19:31 Um,
19:33 and then we had it write lyrics. No, no,
19:36 we didn't. No, we didn't. I just went
19:39 straight into suno. Oh, that was it. I
19:40 had I had
19:43 a guitar lick.
19:48 [music]
19:53 [music]
20:01 >> [music]
20:07 >> Right. I that lick Champy loves that
20:10 lick. He thought it was great. And so we
20:14 went into Suno and I did that and I had
20:15 Sunno write the lyrics. I I I had Chad
20:18 GPT tell it what the what the song was
20:20 about. And then uh
20:23 um Sunno wrote the lyrics and we made a
20:26 song and then we went into midjourney.
20:28 We found a cool style that we liked or
20:30 that I liked.
20:33 You [clears throat] didn't really have a
20:34 vote. You were there. I picked one that
20:37 you were probably like, I don't like
20:39 that style. I guess he's going to go
20:41 with it anyway. This is annoying. There
20:44 should be a way to vote. Right. So that
20:47 was that was your role on Friday was
20:49 just watching me do [ __ ] complaining
20:51 about the choices I made,
20:54 but I made choices,
20:56 which quite frankly that's going to be
20:58 our only job in the future. You I hope
21:00 you know that, right? Our only job in
21:02 the future
21:04 is going to be to have an idea,
21:07 ask the AI to make it, and then go, "Ah,
21:12 nah,
21:13 could you make it better?
21:16 And then the AI will go off and do
21:18 something like
21:22 I don't like purple.
21:25 Let's go off and that's that's not bad.
21:30 I don't like this idea. I I have a new
21:33 idea. Right. That's going to be our job.
21:35 That's going to be our job. That's the
21:36 soul. That's our job. That will be the
21:39 job in the future. I know it doesn't
21:40 seem like that now. You're like, "Oh,
21:42 that's not true. We got to keep the
21:44 human in the loop." Human in the loop.
21:45 It's the the AIS are just they're
21:47 they're unacceptably
21:50 not terrific.
21:53 I know, but for not long. 2026 is You'll
21:59 see. You'll see. You'll see what's
22:01 coming.
22:03 I have no idea what's coming, but I know
22:05 I know it's going to be I know 2026
22:08 we're going to see some [ __ ] where we're
22:09 like,
22:11 "Oh, I get it now." Oh. Uhhuh. Yeah. Oh.
22:17 All right. Huh.
22:22 What does that mean for me? That's the
22:25 great repurpose, by the way. That
22:26 moment.
22:29 Everyone's going to have that moment. I
22:30 don't think they're going to all have it
22:31 in 26. I think some will have it in 26,
22:34 but in the next three years, everyone's
22:35 going to have that moment. Oh,
22:38 okay. Uh-huh. What does that mean for
22:41 me?
22:43 And and I don't mean to laugh because I
22:46 think that moment's gonna suck.
22:53 [music]
22:55 Um, so anyway, so I made the song, I
22:57 went to MidJourney, picked the style,
22:59 made some images. I made, I don't know,
23:02 85 or 100 images or that I chose that I
23:04 saved.
23:06 And then [clears throat] I went into
23:07 Runway ML
23:09 and turned some of them into videos. And
23:11 then I just spent that night after I
23:13 went off the live, I just sat there
23:16 watching TV just hitting copy paste, you
23:18 know, upload an image into runway ML say
23:21 make video, make video, make video, make
23:23 video.
23:25 Um, and then I I prompted the images in
23:27 such a way using chat GPT that there are
23:31 three major sections of the song. So I
23:32 took the three verses which kind of
23:35 evolve from hopelessness to neutrality
23:38 to optimism. And so we made different
23:41 images
23:43 that that went there. And so it turned
23:45 into a video that I'm really happy with.
23:48 Let's see where
23:51 [cough] do I [clears throat] have it
23:52 here? No.
23:56 Um,
24:00 [clears throat]
24:08 wow. My brain [laughter]
24:10 I'm like I'm like looking at the Twitter
24:12 interface going, "What are all these
24:14 buttons?
24:15 [laughter]
24:16 What does this one do?"
24:21 >> [laughter]
24:24 >> Oh,
24:26 >> okay. Let me share my let me share my
24:29 screen here.
24:31 Oh, my share, but I'm not sharing audio.
24:33 Let me share the audio so you can all
24:35 hear it. It's going to be so real good.
24:39 It's going to be fantastic.
24:41 Yeah.
24:43 Um, yeah. So, this is I guess this is
24:46 kind of the anthem, although it's not a
24:48 very anthemy kind of style, but this is
24:51 this is an expression of the great
24:54 repurpose that we're all
24:57 about to enter
25:01 when the machines do take our jobs.
25:05 Remember that saying Paul Ritzer used to
25:07 say all the time, AI is not going to
25:10 take your job, but someone with AI will.
25:13 Yeah, about that. Here we go.
25:26 [music]
25:28 [singing]
25:33 Clock in card swipe. Smile stuck on like
25:35 a bad same chair, same [music] light.
25:38 Living [singing] inside a name tag.
25:40 Every praise, every raise pin tight to
25:43 the shirt on my chest. If I'm [singing]
25:45 not what I [music] do, then tell me
25:46 what's left. Then the smart machines
25:49 came and took my place. Emptied out
25:52 [singing] my inbox. Cleared my days.
25:55 Watch my task disappear. Felt the quiet,
25:59 felt [music] the fear. If I'm more than
26:01 the lines on my [singing] resume, more
26:02 the numbers that I used to chase. From
26:04 the work I lost, I can't all of us.
26:06 [music] It seems to be the great
26:07 repurpos. [singing]
26:11 The great
26:15 [singing] desk beep screen said roll
26:21 my [singing] future looking haunted. Sat
26:24 home hand still like they forgotten how
26:27 to move. Heard my child [music] laugh.
26:29 Do you want to draw too?
26:30 >> Yeah.
26:31 >> The smart machines came and took my
26:34 place. sorted all the files [music]
26:36 I used to [singing] face with my
26:39 calendar wiped clean. I met [music] the
26:41 person in between. If I'm more than the
26:44 lines on my resume, [singing] more than
26:46 deadlines I obey each day. When [music]
26:47 the work got lost, it came to all of us.
26:49 It seems to be the [singing] great
26:50 repurpose.
26:54 the great pride.
26:57 [singing]
26:59 >> I'm the stories at the tables I forgot
27:02 to send. Songs I never finish calls I
27:05 owe my [singing] friends. I'm the hands
27:07 that learn to garden the neighbors extra
27:10 chair. The stranger on the subway
27:12 [singing]
27:12 who suddenly feels
27:18 [singing]
27:19 the smart machines and take their place.
27:21 Sick and chase the patterns. Keep the
27:23 pace. [music] We'll be messy. We'll be
27:24 real. We'll remember how to feel. Cuz
27:27 we're more [music] than the lines on a
27:28 resume. [singing] More than hours on a
27:30 screen each day. When the work falls
27:32 through, we finally see the proof. When
27:33 the work [music] got lost, they can't
27:34 all of us. It seems to be the great
27:36 [singing] great purpose. The great
27:39 purpose.
27:42 [singing]
27:46 The great purpose.
27:50 [music]
27:50 Great.
27:59 [music]
28:12 There you go. [clears throat]
28:15 [gasps]
28:16 So, if you got a spare
28:20 three hours. You too can make that. I
28:24 I'll tell you what's astounding to me.
28:26 Kelly Kelly Bes does a video a day.
28:31 So like she must have it down so so it's
28:34 not taking her three hours because she
28:36 does so many of them. But still, that's
28:39 that's a lot. That's a lot.
28:42 Anyway, that was the great repurpose.
28:44 Um, if you want to find that, you can go
28:46 to my LinkedIn channel
28:49 and
28:50 um, it's in there. And then also,
28:55 let's see where
28:59 notifications
29:01 during the last nine months.
29:05 Uh uh I guess so if if you go search the
29:08 great repurpose you'll find the article
29:14 and it's got I took that that part that
29:16 [clears throat] part of the image
29:19 um
29:21 where it says the stranger on the subway
29:23 is is you know seen there
29:26 um that someone's actually seen. I
29:29 thought that was a nice a nice moment.
29:31 Um
29:33 but it talks the the article talks about
29:37 work identity and the hidden contract
29:39 that that basically certainly here in
29:41 America. But I think because
29:46 like western ideals and Hollywood and
29:49 the the glorification of Silicon Valley,
29:51 I think a lot of the
29:54 [clears throat]
29:56 a lot of the bad habits of America are
29:59 exported
30:01 on many fronts. Um
30:04 but I but I even think this one I think
30:07 a lot of other countries do not have
30:09 this and
30:12 we live in a world where we trade our
30:13 time for money. We trade our time for
30:15 sustenance. And the way that time is
30:18 broken up by corporations and companies
30:21 is that they break work into the peace
30:23 parts and we are cogs in the wheel. So
30:26 we don't necessarily see the craft of
30:28 our work the whole way through.
30:31 Um, and so especially for workers like
30:33 that, as their work is devalued,
30:36 there's a real risk of devaluing the
30:38 human as well. And that's the whole
30:41 point of of this work and this this
30:45 insight is to name that.
30:48 Um, and the the most important part of
30:51 the the article, there's sort of these
30:53 five these five stages of the great
30:57 repurpose. [snorts]
30:59 And stage one is decouple your identity
31:02 from execution. Separate who you are
31:04 from the tasks you perform.
31:07 For many people, this decoupling will be
31:09 painful and non a non-obvious awakening.
31:12 Um it's the one that reveals how deeply
31:15 your sense of selfworth may be
31:17 intertwined with what you do. Um,
31:20 this is the one that
31:27 if someone is not aware that they've got
31:30 that those things intertwined,
31:35 they won't even know why they're so
31:37 depressed, why they feel so hopeless,
31:38 why they feel so lost. And so if we can
31:41 educate people to say that hey
31:45 this devaluing of tasks is coming
31:49 but your value as a human
31:53 your value is significantly
31:56 different and higher than the tasks you
32:00 do the skills you have
32:02 um and so
32:05 you know I'm curious to to understand
32:07 you know what are the kinds of exercises
32:09 we do and maybe even campaigns,
32:12 awareness campaigns. I don't I don't
32:13 know. But that one feels really
32:15 important. That's kind of foundational
32:16 is if you can just make yourself aware
32:19 that you've got this coupling. I found
32:21 it in myself when I was writing this
32:23 article here. I wrote I wrote um
32:27 [clears throat]
32:28 sorry for the voice. It's it's crunchy.
32:36 Um, at social gatherings, the first
32:39 questions we ask strangers isn't, "Who
32:42 are you, but what do you do?" Over
32:44 generations, work has become the primary
32:46 way people understand our worth, our
32:49 contribution, and our place in society.
32:53 With as much as I think about all this
32:55 people stuff, I am not immune to this
32:57 tendency. Even when I am asked the
32:59 enlightened, tell me about you, as
33:02 opposed to, "What do you do? Tell me
33:03 about you." I find myself responding
33:06 that I'm the co-founder of this company.
33:08 I'm the president of that company.
33:11 I know that I'm an artist. I know that
33:13 I'm much more than my tasks and my
33:15 skills. You know, I say, "Hell, I've
33:18 written the past two two years writing a
33:20 musical." And yet, I still fall into the
33:22 trap of responding that I am my work.
33:26 Work is how we contribute. Work is how
33:28 we're useful. Work is how society
33:29 recognizes us. So,
33:33 so th this this
33:35 awareness and this decoupling
33:38 is I think it's going to be many layers
33:40 and it's going to take time and it's
33:42 going to take grieving and mourning and
33:45 actively stepping away from that
33:47 relationship. So, um so that's stage one
33:51 and then stage two is reclaim your human
33:53 value. Reconnect with your inherent
33:55 value as a human being. And what that
33:58 probably looks like is, well, if I was a
34:01 project manager before,
34:03 the tasks of project management are
34:06 going to be automated, right? They're
34:07 going to be devalued to zero. But I'm
34:10 really organized. I can look at the big
34:12 picture. I can I can be the connector
34:14 between all of the different parties in
34:16 a project, right? There's all sorts of
34:18 skills that you have, the nature of how
34:21 you work, right? The integrity of your
34:24 work.
34:26 And so it's really getting in touch with
34:27 what's that stuff you're good at that's
34:29 independent of the tasks.
34:33 Um
34:35 phase three is to reim that value into
34:38 purpose. Right? As you start to
34:40 understand your value independent of
34:42 your skills, your purpose will reveal
34:44 itself to you. Purpose emerges
34:47 um from your world view, your values,
34:50 the people or communities you care about
34:53 and the kind of impact you want to have.
34:56 You have value. You have value, right?
34:59 And so once you understand that value,
35:01 then you can start to say, huh,
35:05 like what's my purpose? What do I want
35:07 to be here? What do I want to be when I
35:08 grow up? What do I want to be when work
35:11 becomes optional?
35:14 Then stage four and and these are also
35:17 nonlinear. Like I think for a lot of
35:19 people these are going to happen all at
35:21 the same time. They're going to happen
35:22 out of order. Stage four is explore what
35:26 AI makes possible. Recognize that the
35:28 same technologies that are driving this
35:30 massive shift are also the tools that we
35:33 all get to use
35:36 to amplify our purpose.
35:39 Right? It's this we're we're at this
35:41 ironic
35:43 moment in history where the robots are
35:45 going to take our jobs and we're given
35:47 the same tools that are taking our jobs.
35:50 What are we going to do with that?
35:53 And then the fifth stage is translate
35:55 your purpose into action. Reclaim your
35:59 agency and bring your newly discovered
36:01 purpose to life. Imagine and carry
36:04 practical real world concepts forward
36:08 using AI to execute your ideas and
36:11 deliver at a at a level far beyond
36:14 anything you ever imagined you could
36:15 deliver. It's not us versus AI. It's us
36:19 amplified by AI.
36:21 So, it's a relatively straightforward
36:24 path
36:26 on paper,
36:29 but if I've been
36:33 an art director for 25 years [music]
36:38 and all of a sudden, well, art director
36:40 is an interesting one
36:42 cuz art director is a job that's already
36:45 about your taste. [music] That's a job
36:48 where the the job probably doesn't
36:50 change that much, but who you work with
36:52 probably does.
36:55 [music]
37:04 >> [music]
37:05 >> So Steo work will never be optional.
37:08 Control matters more than efficiency.
37:12 Yeah. Control, taste. I mean I think I
37:15 think our job become the arbiters of
37:18 taste.
37:24 I don't know. I I mean
37:29 [music]
37:32 I think work will become optional, Steo.
37:35 Like it might not become optional for
37:36 you personally. like I'm I'm probably
37:38 with you where I'm like I'm always going
37:40 to be doing something
37:44 but especially I mean
37:46 you know Musk talks about
37:50 delivering Optimus robots at scale
37:52 within 3 years so this isn't just going
37:56 to be knowledge work it's going to be
37:57 all sorts of jobs
37:59 um [snorts and music]
38:04 what he talk about he talks about
38:07 Optimus robots will will be
38:12 world class surgeon within 3 years. And
38:15 I, you know, I take everything he says
38:17 with a grain of salt. Like he he tends
38:19 to be right on his predictions but
38:21 overly optimistic on his timelines. So
38:24 let's assume that the Optimus robots are
38:26 scaled within five years or six years.
38:30 That's still really, really fast. So if
38:33 they can do advanced surgery at a
38:36 worldclass level within 5 years, they
38:38 can also do plumbing and electrical work
38:41 and all the [snorts] jobs. You know,
38:44 imagine having a car mechanic that knows
38:47 every car model, every nuance of every,
38:50 you know, everything you could do.
38:56 [music]
39:01 What this what the great repurpose does
39:03 not really address is the economic side
39:06 of this.
39:08 But maybe that should be a part of it.
39:10 We'll find out. [music]
39:19 So [snorts] anyway, um if you'd be so
39:22 kind, go check out the the LinkedIn
39:24 article, The Great Repurpose, and
39:27 comment on it. I'd love to hear your
39:28 thoughts and share it and put it out in
39:30 the world.
39:32 [clears throat]
39:35 Um,
39:38 my brain has gone fuzzy. [laughter]
39:43 What a Who's got a question or a
39:45 thought?
39:47 I'm working on part of a a part for a
39:50 Range Rover from Africa right now. Oh,
39:54 wow. Wild.
39:56 My mechanic calls me out calls me often
39:59 to help him find parts for vintage cars
40:01 from all over the world. Oh wow. [music]
40:07 You know that's really cool. Source
40:09 camp. I mean like that's the kind of
40:11 thing where
40:13 like [clears throat] like there there's
40:15 going to be a role for for people like
40:17 you that are just kind of like
40:20 I don't know task sherpas,
40:23 [laughter]
40:24 right? We're in this transition period.
40:26 Pe people are going to be like, I know
40:28 that AI is out there. I don't feel like
40:30 dealing with it. Will you go find me
40:32 some obscure part for a Range Rover?
40:35 Okay, I can do that. [music]
40:38 Are you turning an agent loose to do
40:40 that?
40:45 [music]
40:51 Yeah, we could do Genie 3 demos. They're
40:53 nice and visual. [music]
41:04 Okay, cool.
41:09 [music]
41:15 [music]
41:22 >> [music]
41:30 [music]
41:39 >> Ah.
41:44 Ah. Ah.
41:51 >> [music]
41:57 >> Okay. [clears throat]
42:00 So, let's go to Genie.
42:03 [clears throat]
42:04 [snorts]
42:09 Uh, we go to labs. So, if you want to
42:11 follow, if you want to play along,
42:13 labs.google.com google.com
42:16 is where we're going to
42:18 play with this thing.
42:40 Okay, then we're going to go to X and
42:42 I'm going to share my screen. Okay.
42:46 Beautiful. Beautiful. Beautiful.
42:48 Beautiful. I'll tell you what. I'll tell
42:49 you what, Bob. Uh oh. Your browser has
42:51 lost your connection with your screen
42:53 share audio.
42:55 Rut row. [clears throat]
42:58 Let's go to a different kind of sharing.
43:00 So, that's just not an option. We're not
43:03 going to share audio. Thank you very
43:05 much for your
43:07 stupid [ __ ]
43:09 Okay.
43:11 All right.
43:13 Rightighty. Tik Tok pin. Hey Kyle,
43:16 what's up tonight? Hey Cam Katkin. Um
43:20 Cam, I don't know if you saw on
43:21 LinkedIn. I created a a post today
43:23 called the great repurpose which I think
43:25 you were here the last week when when we
43:28 sort of manifested that and Silver Fox
43:31 named it and we manifested that in the
43:34 world. Um
43:37 and over the past week or so um I've
43:42 been getting my head around it and it's
43:44 a it's a really big idea. Popup is
43:46 covering
43:48 Twitter. Why is that not going away?
43:51 There we go. There we go. Okay. Um,
44:01 a good demo thread.
44:05 Okay. So, I'm going to just show you
44:07 some of these um
44:10 some of these Genie 3 things. So, so
44:12 what Genie3 is
44:16 is a
44:19 text to world model
44:22 builder and it's it's kind of being
44:24 coined as as like a game engine kind of
44:26 thing. It's not really well it is a game
44:29 engine. how they've
44:31 how they've executed the the controls is
44:36 uh with game engine controls like you
44:39 know ASDF and arrow keys for camera and
44:42 things like that. So in this case we've
44:44 got a professional kitchen. We've got a
44:46 salmon that's sort of trying to escape
44:49 the kitchen.
44:50 It's pretty funny.
44:52 Um, you can make these world, you can
44:55 play in these worlds for 60 seconds and
44:58 you have to have like the the ultra
45:02 um what you call it the ultra
45:05 uh subscription.
45:12 You weren't in the thread. Where was it?
45:22 How was I not in the thread? I'm too
45:25 sick to think.
45:32 Oh,
45:33 >> no. That that post was the thread, but
45:35 when you scrolled down,
45:38 no, the the fish was the first thread,
45:40 but when we uh once we got into it,
45:46 [laughter]
45:47 >> other examples.
45:49 >> So, listen,
45:51 I know you might be thinking this is a
45:54 very boomer moment. So, wait, this is
45:55 it? Is this the beginning of the thread?
45:58 That's the beginning of the thread.
46:00 >> Okay. And then this is where I was,
46:03 >> right? But those are the comments to the
46:05 original. Like you have to
46:08 >> Where do I go?
46:09 >> I click on the actual
46:11 um
46:12 >> this
46:14 click on his name.
46:19 Oh,
46:20 >> he's blocked.
46:22 Are you sure you want to view these
46:24 posts?
46:26 Could
46:33 have been that long ago.
46:37 >> I'm lost.
46:39 [clears throat]
46:40 [snorts]
46:42 >> I can I can share if you want to talk
46:43 over me.
46:44 >> Here we go.
46:45 >> I got it. Did Did I get it? No.
46:59 Unblock.
47:01 Okay. All right. Here's another one.
47:03 >> There we go.
47:06 >> Show Show more.
47:12 >> Where's show more? Oh, show.
47:14 >> That's replies, though. We don't want
47:16 that.
47:17 >> Gotcha. Well, yeah, you went from number
47:18 one to number 10, so I don't know where
47:20 numbers two through nine are, but Yeah.
47:24 No. [laughter]
47:29 Welcome to the AI learning lab where I
47:32 am learning how to use Twitter.
47:35 [laughter]
47:40 Oh, good lord. Well, here's another one.
47:42 Let me show you this one and then we'll
47:43 go we'll go look at some of these
47:45 things. [snorts]
47:47 [clears throat and cough]
47:48 All right. So, you're you're third
47:50 person driving
47:52 a tire around a suburban neighborhood.
47:58 [clears throat] There's the fish one.
48:17 Cool.
48:20 [snorts]
48:22 First person subway.
48:30 Uh oh. What just happened?
48:34 I got my screen up if you wanted to the
48:37 thread.
48:38 >> Was I not sharing?
48:43 >> No, you were. But that these are the
48:45 other 10 that you shared.
48:46 >> Oh, okay. Cool.
48:48 Beautiful.
48:49 >> So, this is a uh
48:51 >> I'm now a blood cell.
48:52 >> Blood cell.
48:53 >> Yeah. Going through. That's cool.
48:58 >> This This is actually a live feed of
49:00 what's happening inside of your body.
49:01 We're trying to track down the cold
49:03 virus.
49:04 >> Yeah, exactly.
49:07 If we stick around long enough, we find
49:09 your crusty eye.
49:11 Um here's a Fortnite replay demo.
49:16 >> Yeah.
49:18 So, a couple of things while while
49:20 Brandon's going through these. Couple of
49:22 things going on here.
49:25 Over the past two years, there was uh
49:28 that that skybox demo that was from like
49:31 World something.
49:34 Worlds, Inc. or something like that.
49:36 >> World Labs. Yeah. [clears throat] And
49:38 what they were doing was they were
49:40 basically just they were generating a a
49:43 flat image and then mapping that to a
49:45 sphere, which which was still cool. You
49:47 could look around the sphere and do all
49:48 that stuff, but you couldn't really
49:49 navigate it. Then there were a couple of
49:51 things that were using gauian splats to
49:54 make a 3D kind of world that you could
49:56 enter. Um, but you would sort of hit the
49:59 edge of the gauian splats and the world
50:01 would just kind of disintegrate and
50:02 you'd sort of fall into space and you
50:04 couldn't get back to the world. It was
50:06 weird.
50:07 This genie thing from Google is um
50:13 generating the world on the fly. It's
50:15 not generating a 3D world like like
50:18 Unreal Engine.
50:20 It's actually generating these frames as
50:23 you move through it.
50:25 So, it's got realworld awareness. It's
50:28 got world awareness of physics and
50:30 objects and things like that, but it's
50:32 generating it.
50:35 Um,
50:37 and I guess why they only give you 60
50:39 seconds is I'm assuming this costs a lot
50:42 of GPU power and things like that. Um,
50:45 and it's got a little bit of gameplay.
50:47 You can drive through it. Um, it does
50:50 seem to generate like like if you go
50:52 around a corner, it'll invent like a new
50:54 street and then you can go back. What's
50:58 cool about it is you can go back and it
51:00 remembers what was there before. like a
51:02 lot of the 3D things before you would go
51:04 back and it would be completely
51:06 different. If you turned around, it
51:07 would be completely different. So, this
51:09 is that. So, a couple of things. Right
51:12 now, it's just got basic game mechanics.
51:14 It's very slow. It's very clunky. Um the
51:19 the people in the subway, the people
51:21 actually look pretty good, but a lot of
51:22 times the people look kind of janky and
51:24 weird. Um, [clears throat]
51:29 but now take the core technology today
51:32 and if you remember two years ago when
51:34 we were generating videos like even
51:36 Kelly Besh videos when we did the weird
51:38 Mary video two years ago, you can watch
51:41 that video and there's all sorts of
51:43 weird artifacts in it and just
51:45 jankiness, right? And then over the two
51:48 years that came um things got better and
51:51 better and better and now we're kind of
51:52 at the point where, you know, we're not
51:54 quite world class with video, but we're
51:56 pretty flipping close, right? People
51:58 that that take the time to really do
52:00 film making um can use these tools to do
52:03 some pretty remarkable stuff. It's going
52:05 to be the exact same with these 3D
52:07 worlds. They're not just going to be for
52:09 games. They're not just going to be for
52:12 games. So, let me let me go ahead and
52:14 share my screen again.
52:17 Um,
52:18 so we're going to say let's let's say um
52:23 let's see make an infographic
52:28 about
52:32 um the cost
52:35 of [gasps]
52:36 houses
52:39 and the character is going to be um a
52:44 mouse.
52:45 pointer.
52:48 [clears throat]
52:50 I don't know if this is going to work as
52:52 a 3D world, but we'll try it [laughter]
52:57 because I I want to I want to get to a
52:59 to a bigger point. The obvious thing
53:01 people are going to talk about is, "Oh,
53:02 cool. This is going to be like the
53:04 metaverse or this is going to be like
53:06 gaming. It's going to be like Grand
53:08 Theft Auto." Yeah, everyone's going to
53:09 do all that sort of stuff. Let's go
53:12 ahead and create this world.
53:14 Um,
53:16 everyone's going to create that kind of
53:18 stuff and
53:21 all of the things you can do in an LLM
53:24 and all of the coding you can do in Vibe
53:26 coding can now be incorporated. So,
53:29 let's see.
53:32 Let me go.
53:37 Let me see if I can flip the camera
53:39 around.
53:44 I don't seem to be able to. Let me go
53:46 backwards here.
53:49 So, imagine if these were actual real
53:53 dynamic graphs.
53:58 I don't know why there's something weird
54:01 with the controls here because I gave it
54:03 a shitty prompt obviously, but but you
54:06 know, imagine being able to go through a
54:08 world
54:10 of let let's say you're an economist and
54:12 you want to talk about housing data and
54:15 all of this is real time feeds of real
54:17 time data being turned into all sorts of
54:21 interesting infographs. anything you're
54:24 interested in, you can just enter that
54:26 house and you enter the world of, I
54:30 don't know, small businesses and things
54:32 like that. Healthcare. Yeah. Oh, so
54:34 let's go back and do a healthcare one.
54:35 Create a new world. Let's do um
54:38 [clears throat] the environment is um
54:41 the
54:44 inside of a cell with all of the
54:50 cell
54:53 you are
54:56 machinery
54:59 um rotating and functioning.
55:03 And then we're gonna play a protein
55:09 um looking to dock
55:14 in a receptor.
55:20 And we'll do this as third person so we
55:22 can see our protein cell.
55:32 Um,
55:34 you know the other thing about this,
55:36 like if I were if I were Zuckerberg at
55:39 Meta [laughter]
55:44 [ __ ] Zuck, man. If he'd had just
55:46 waited one technology cycle, he could
55:49 have renamed Meta AI [laughter]
55:52 and he'd have been fine.
55:55 [clears throat]
55:56 He changed the name of Facebook to Meta
55:59 because he wanted to build the
56:00 metaverse. And what he built over
56:03 whatever it was six years was
56:05 essentially um what was that? Uh Second
56:09 Life. He bil shittier version of Second
56:12 Life, right? So it took a bunch of
56:15 artists and 3D
56:18 folks doing all this stuff over years
56:22 to build a single view of a single
56:24 world. And now what's happening with
56:25 Genie is you can describe
56:28 any world. any world. It doesn't have to
56:31 be a game. Right. So, what you're saying
56:33 is hackers become becomes a documentary.
56:37 Well, I'm telling you, archetypal,
56:39 I I feel like we're in a world where
56:43 most of our um
56:47 most of our life is
56:50 like
56:54 [clears throat]
56:55 this is actually really cool.
56:58 most of our life is
57:00 like one science fiction movie after
57:03 another turning into uh into reality. So
57:07 it's like they all become so so now here
57:10 okay so okay you want to you want to
57:13 trip out so they have this thing now
57:17 called crisper which if you don't know
57:18 about crisper crisper is really [ __ ]
57:20 cool
57:22 what crisper is is a DNA editing
57:26 and slicing program
57:29 [snorts] that you can go in and you can
57:31 find a broken part of DNA and replace it
57:34 with with a newly designed part of DNA
57:36 Okay. So, imagine being able to fly
57:39 through a cell, but you're actually
57:40 flying through real data of your body or
57:43 of a patient's body and you can you can
57:48 go in and you can actually visually see
57:51 the part of the DNA that's broken. And
57:53 you go in and you just grab [ __ ] and
57:55 say, "Let me grab this part that's
57:57 broken and grab it and throw it out. I'm
57:59 going to put a new part in that's not
58:01 broken."
58:04 And then something somewhere is making
58:06 that edit,
58:09 [laughter] right?
58:11 The next season of Magic School Bus is
58:13 going to be legit.
58:16 So like we go from a world of
58:18 performative 3D
58:23 to a world of
58:27 this isn't the metaverse, right?
58:31 Th this is like a system that
58:34 understands the world
58:37 and understands it at all levels and at
58:39 all scales
58:42 and we have vibe coding. So, so we can
58:44 dynamically interact with this world in
58:46 such a way where I could go from I want
58:49 to turn this cell that I'm walking
58:51 through into a game and I just want to
58:55 go shoot, you know, cancer cells. I want
58:58 to turn it into a video game where I go
59:00 into this, you know, this part of the
59:02 body and I shoot cancer cells.
59:05 And maybe it's actually
59:07 shooting real cancer cells. I don't
59:10 know, right? Or you turn from shooting
59:14 cancer cells as a game to I actually
59:16 want to go do research because because I
59:18 played the game, I actually understand
59:20 how this cancer actually functions. So,
59:24 I have a new novel idea for how to
59:26 actually deal with this.
59:29 And and you just tell the machine,
59:32 here's my idea. And it goes off with its
59:35 PhD level Nobel laureate intelligent
59:40 smarter than hum
59:44 and takes your idea and figures out how
59:46 to make it happen
59:49 or at least designs an experiment.
59:52 >> [snorts]
59:53 [clears throat]
59:53 >> So yeah, this is super cool. And this
59:55 has nothing to do with gaming. Going to
59:58 be a lot of games. Everyone's going to
59:59 talk about games. Games are going to be
1:00:01 the first thing.
1:00:04 But think about anything you do. Think
1:00:06 about being a mechanic. Like you know,
1:00:09 Kelly Camp, think about sourcing parts
1:00:11 this way where you search for parts and
1:00:15 they sort of different parts show up on
1:00:17 a globe. You sort of fly in there, look
1:00:20 at the part.
1:00:22 I don't know.
1:00:27 And like, who's going to make all these
1:00:29 apps? Every one of us. We're going to
1:00:31 dynamically be making this kind of
1:00:34 stuff. It's I don't know. It's crazy.
1:00:36 It's bonkers. Um, what else should we do
1:00:38 here? Let's see. Time check. 9:00 p.m.
1:00:42 Um, yeah, I gotta go. My eyes killing
1:00:44 me.
1:00:45 Uh,
1:00:50 let's see. Let's do Oh, this will be
1:00:53 fun. Oh, this will be fun. The
1:00:58 space
1:01:02 ship in
1:01:06 2001, a space oddity
1:01:11 character Dave. I'm sorry, Dave. I'm
1:01:14 afraid I can't do that. We'll make it
1:01:16 third person so we get to see a space
1:01:18 suit.
1:01:20 Did I spell Odyssey wrong? How do I
1:01:22 spell it? Oh, oddity. A space oddity.
1:01:26 [laughter]
1:01:29 I got to go. Oh, this will be fun. Kyle
1:01:31 Shannon. [laughter]
1:01:34 Yeah, I know. I'm I'm not I'm not very
1:01:37 Oh, look at that. [ __ ] perfect.
1:01:39 Create the world. Look at this. So,
1:01:42 okay. Okay. So right now we're doing
1:01:44 text to 3D world, right?
1:01:47 Okay. H this is so good. So imagine when
1:01:51 this gets faster and this is real time
1:01:54 now. Imagine you're watching 2001 of
1:01:57 space odyssey and you just say pause. I
1:02:01 want to play [laughter]
1:02:04 right. I want to fly the ship. And it'll
1:02:07 just make that world. It'll understand
1:02:09 the world because it'll have seen the
1:02:10 whole movie. So, it'll understand the
1:02:12 world. It'll understand what the
1:02:14 monoliths are. It'll understand where
1:02:16 the spaceship is relative to the
1:02:17 monoliths.
1:02:20 This is crazy. This is bonkers.
1:02:24 Let's see. All right. So, this is me
1:02:27 walking around.
1:02:29 Let's see. Let's turn the camera around.
1:02:34 See, it's a little slow,
1:02:36 but still
1:02:40 [ __ ] crazy,
1:02:47 right? And if this is all voice to text,
1:02:49 you could go, you know, give me a a
1:02:52 thing where I can turn left. Oh, look,
1:02:54 it just opened the door. Look at that.
1:02:58 Am I Oh, [ __ ] I'm out of time. Damn it.
1:03:00 You only get 60 seconds.
1:03:06 That's crazy. Now I can download that
1:03:08 video.
1:03:10 Actually, this is what we'll do. We It
1:03:12 wouldn't be an AI learning lab if I
1:03:14 weren't frustrated trying to upload a
1:03:16 video to X video downloaded. So, let's
1:03:19 go try to do that.
1:03:25 Oh, do a cartoon hot dog escaping a
1:03:28 baseball diamond. That's pretty funny.
1:03:30 Let's let's do this. Oh, I want to show
1:03:33 you this thing, too. So, let me do a new
1:03:35 version of X. I want to show you two
1:03:37 things. [snorts] Okay, [clears throat]
1:03:43 imagine
1:03:45 watching
1:03:48 2001
1:03:49 a space
1:03:52 odyssey.
1:03:55 Odd. How do you spell odyssey? AI
1:04:00 like that. No.
1:04:08 Odessa. How do you spell Odyssey? Vicki,
1:04:12 [laughter] where's Vicki? Okay. Wait.
1:04:15 Oh, S S Y. Okay. Odd. I had it almost
1:04:18 right. S S E Y.
1:04:22 Is that right? Okay. Imagine watching
1:04:24 2001 spa a space odyssey
1:04:39 and pausing
1:04:45 the movie
1:04:48 to step into it.
1:04:54 Genie3
1:04:57 from
1:05:00 Google. Is this from DeepMind? Does
1:05:02 anyone know?
1:05:06 And then I guess I'll do labs.google.com
1:05:16 [clears throat and cough]
1:05:23 >> [snorts]
1:05:32 [whistles]
1:05:38 >> and at Google
1:05:42 deep
1:05:44 mind.
1:05:48 um [snorts]
1:05:51 is a glimpse into that future.
1:06:16 >> [whistles]
1:06:25 >> All
1:06:32 >> [snorts]
1:06:52 >> right.
1:06:54 Project Genie looks really cool. Yeah,
1:06:56 it's it's really cool. I you know, Cam,
1:06:59 for for you for accessibility, like
1:07:03 all of our ability to
1:07:06 [clears throat]
1:07:11 I I don't even know the way to describe
1:07:12 this. It's basically like to enter
1:07:15 computing.
1:07:17 Like we're going to be able to enter
1:07:21 it
1:07:32 it I
1:07:33 like I can't I can't even get my head
1:07:35 around
1:07:37 the kinds of things we're going to be
1:07:38 able to do. Like you're going to be able
1:07:41 to let's you're going to be able to
1:07:42 watch a movie, pause it.
1:07:46 You're watching Taxi Driver with Robert
1:07:48 Dairo right from the 70s. and you're
1:07:51 like, I want to enter New York in the
1:07:54 70s and you enter it and then you're
1:07:55 like downtown under the Manhattan Bridge
1:08:00 and there's like a tenement. There's
1:08:01 like a rowhouse and you're like, I want
1:08:02 to go in the rowhouse and you just go in
1:08:03 the rowhouse and then you're like, oh,
1:08:05 those bricks behind the bar look really
1:08:08 cool and you zoom in on the brick and
1:08:10 you're like, I want to know the history
1:08:11 of this brick. And then you're like, I
1:08:14 want to I want to understand brick m how
1:08:17 are bricks made? And then you're like, I
1:08:19 want to 3D print a house that, you know,
1:08:21 and then you go design a it just I
1:08:26 [clears throat]
1:08:26 anything we [ __ ] want. Any
1:08:30 any data that is accessible
1:08:34 to your world will be able to be an
1:08:37 input source. And then any coding that's
1:08:40 required
1:08:42 to
1:08:44 bring that world to life, you'll
1:08:46 literally be able to speak it into
1:08:47 existence. Did Oh, upload failed.
1:08:49 Fantastic. Let's keep trying.
1:08:52 [laughter]
1:08:56 It's not AI learning lab if Kyle's not
1:08:58 cussing at Elon. Hey, Elon. Hey, you
1:09:02 know you got those cool uh the the
1:09:04 skyscraper things that uh the fire comes
1:09:07 out the bottom of them and they fly into
1:09:09 the sky and then you can catch them. Th
1:09:11 those are cool. Oh, you know like the
1:09:14 the the cars you have that are going to
1:09:16 like fly with rockets? Th those are
1:09:18 cool. Um, that that thingy, the machine,
1:09:22 could could you take like $27 and fix
1:09:25 your [ __ ] uploads?
1:09:30 Please, please,
1:09:33 please, Elon, please.
1:09:36 I'm sick. I'm a sickly man child with a
1:09:41 crusty eye.
1:09:43 All I want is for my video to upload to
1:09:45 your stupid [ __ ] service. It's all I
1:09:48 want. It's Xfinity on my side. I'm sure
1:09:51 it's me. I'm sure it's me. It This is
1:09:54 more me than you, Elon. I really love
1:09:56 you. You're the best. But just like one
1:10:00 engineer for a week with some vibe
1:10:02 coding. Could we fix the upload module
1:10:06 maybe to so I could put cool [ __ ] on
1:10:09 your thing? the your ex thing.
1:10:15 [laughter]
1:10:18 How many synonyms are there for the word
1:10:20 nin? E [laughter]
1:10:26 did I did I make an image when I said
1:10:28 Elon's thing? Sorry about that.
1:10:33 Oh, you'll be able to create a whole new
1:10:35 world, but you won't be able to upload
1:10:36 videos to X. I I mean, honest to God,
1:10:39 this is like this is
1:10:42 actually a [ __ ] problem
1:10:45 because here's the thing. I think most
1:10:47 people probably upload their videos from
1:10:49 their mobile devices and so no one's
1:10:51 bothered to check because they don't
1:10:54 have
1:10:56 a cranky Gen Xer in the corner office at
1:10:58 X because they fired everyone. No one's
1:11:01 there going, "Um, hey guys,
1:11:05 did you know you can't actually upload
1:11:07 videos on an Xfinity router on a Mac?
1:11:12 Why not?" I don't know. I mean, you guys
1:11:15 are the engineers, right? You can figure
1:11:17 that out. Well, yeah, that that's
1:11:19 probably trivial. It's probably just an
1:11:21 edge case. Okay. Could [ __ ] do that.
1:11:28 >> [sighs and gasps]
1:11:32 [snorts]
1:11:32 >> Then we are not the product. Blue sky.
1:11:37 We need to make our own personal
1:11:38 platforms.
1:11:42 You'll be able to create a whole
1:11:43 [laughter] new world, but you still
1:11:44 won't be able to upload to Twitter. Um,
1:11:47 all right. I guess what I'm going to do
1:11:49 is I'm going to send this to my phone.
1:11:53 This is really [ __ ] frustrating.
1:11:57 It really is. [clears throat]
1:12:07 I'm sickly. I'm sickly. I'm sickly.
1:12:12 All right. On Tik Tok sent. Well, on Tik
1:12:16 Tok, if you're watching on Tik Tok, it's
1:12:18 going to go away for a minute because
1:12:20 I'm [snorts] going to go copy this post.
1:12:26 And I'm going to go [ __ ] post this
1:12:28 thing on a mobile device like I was
1:12:33 told I'm supposed to. I've even had it
1:12:36 fail on on mobile.
1:12:40 Come on, paste.
1:12:45 >> [whistles]
1:12:52 [whistles]
1:12:55 [clears throat]
1:12:57 >> sending the post.
1:13:03 It's going. It's going.
1:13:05 Post was not sent.
1:13:08 Retry.
1:13:10 [snorts and laughter]
1:13:13 retry.
1:13:17 All right, we can try we'll try one
1:13:19 other thing here.
1:13:26 We're going to export this as
1:13:30 a
1:13:42 All
1:13:47 right, I'm back. Tik Tok, sorry. I went
1:13:49 away to try to upload it on mobile. That
1:13:51 didn't work either.
1:13:54 Um,
1:13:58 oh, wait. Let's see.
1:14:01 Do I have drafts? Yeah, here we go. Let
1:14:04 me get rid of this.
1:14:07 And then
1:14:27 the numbers are just going up. No, they
1:14:29 just went down. It's going to error.
1:14:34 >> [sighs]
1:14:53 >> You know this this upload this upload
1:14:57 thing is like I'm being gas lit
1:15:01 [snorts] Like I have witnesses. You're
1:15:04 all here, right? Like you see this,
1:15:08 right? It's at 19%, it's at 20%, it's
1:15:12 23, then it'll go back to 17. Then it'll
1:15:14 go to 7. Now we're at 27. Now we're at
1:15:16 16. Now we're at 28, 29, 30. Like, this
1:15:19 could actually be working right now. But
1:15:21 we don't know. Now it's at 28.
1:15:24 [clears throat and cough]
1:15:27 And like every time I mention this to
1:15:28 someone, they're like, I've never had a
1:15:30 problem. It's probably just something on
1:15:32 your end. Yeah, it probably is.
1:15:36 But it's every [ __ ] time and it's
1:15:38 been years.
1:15:40 [laughter]
1:15:45 What is what character? Did I create a
1:15:46 new character? I should really go back
1:15:48 and watch my videos and learn all my
1:15:50 characters.
1:15:52 [laughter]
1:15:55 Oh, look. We got an error. How awesome
1:15:57 is that? Fantastic. All
1:16:00 right, I'm going to leave. I can't do
1:16:01 this anymore. I I try to I try to be a
1:16:04 good person. I try to be a good internet
1:16:06 citizen,
1:16:09 but Elon Musk hates me. First it was Sam
1:16:11 Alman. Now it's Elon Musk.
1:16:14 Is it me? Am I just too talented? I'm
1:16:18 just too charismatic
1:16:21 and magnanimous. I don't even know what
1:16:24 magnanimous means. But I must be that.
1:16:29 Why are these billionaires ignoring me?
1:16:33 I don't know.
1:16:36 Envy. It's one of the tough ones. It's
1:16:38 one of the tough ones of the seven the
1:16:40 seven sins. You know, it's a rough one.
1:16:46 This is why we can't have nice things.
1:16:48 All right, I'm going to leave.
1:16:51 >> [sighs]
1:16:52 >> I've got a whole novel series ready to
1:16:54 spin up a 3D world. We're that we're
1:16:57 going to be able to do that. We're going
1:16:58 to be able to take something like the
1:17:00 Great Repurpose and turn it into like a
1:17:03 like an American Ninja Warrior course,
1:17:07 [laughter]
1:17:09 how to separate your self-worth from
1:17:11 your job. And you got to do all this
1:17:13 ninja [ __ ] You come out the other side,
1:17:16 you're like, I suddenly feel better
1:17:18 about my life. [laughter]
1:17:22 Oh my god. Insecurity. They just can't
1:17:26 handle your genius. That's what I'm
1:17:27 thinking. Source camp. Like, it can't be
1:17:29 me. It can't be me. I'm just here. I'm
1:17:33 just a a humble
1:17:36 but a humble [laughter]
1:17:39 mega genius
1:17:41 just trying to upload upload videos to a
1:17:45 [ __ ] social media tool that I tried
1:17:47 to ignore for most of my life.
1:17:49 That's all I want. I don't want much in
1:17:51 this life, but [snorts] apparently
1:17:54 advanced AI can't solve it. Um, all
1:17:57 right. I'm going to get out of here. I'm
1:17:59 I'm Crispy. Peace out. I'll see you
1:18:01 tomorrow. Today's Monday, right? Yeah.
1:18:03 I'll be around. All right. Later. Later,
1:18:06 YouTube. Oh, tomorrow. Come to the AI
1:18:08 Salon. We've got the the uh AI Salon
1:18:11 presents tomorrow night, 5 to 7 Mountain
1:18:13 time. Okay. Be there.
1:18:16 All