10/15/2025 -Exploring Google's New Veo 3.1 Video AI and Embracing Its Creative Jankiness

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0:00 Love.
0:03 [Music]
0:28 Ow.
0:31 [Music]
1:10 It really breaks my heart
1:13 see a dear old friend
1:16 go down to that one out place again.
1:22 Do you know the sound
1:25 of a closing door?
1:28 You heard that sound somewhere before?
1:34 Do you wonder if she knows you any
1:44 [Music]
1:52 song? Good evening, good people. Happy
1:55 Wednesday. What's happening? What's
1:57 going down? What's shaking?
2:00 went to a lovely event tonight at the
2:03 ID345
2:05 uh clubhouse, I'm going to call it, here
2:08 in Denver.
2:10 It was a uh it was a uh
2:16 a media a vibe media show and tell
2:20 basically meetup where people just
2:23 showing stuff that they've made
2:26 like images and songs and videos and
2:29 [ __ ] like that. So, I showed off um
2:34 I showed off um
2:39 before the sun before the lights come
2:41 on, the the little carnival song we made
2:45 the other night, I showed off to Kill
2:47 You for a Dollar, that video. And then I
2:49 showed off Sydney, the Sydney musical.
2:54 So, it was all music. And then tonight,
2:58 uh, VO3.1 came out. So, we're going to
3:01 be looking at at video stuff. We'll be
3:03 playing with video stuff.
3:07 [Music]
3:09 If you're asking if you're late, you're
3:12 not as late as we are. We're uh we're 34
3:15 minutes late because I had a little
3:18 event. I had a little spontaneous event.
3:19 I forgot my fluids again. What the [ __ ]
3:21 is going on with that? Oh, please.
3:43 Where's my
3:50 Where did I put it?
3:55 Oh, there it is.
4:03 All right,
4:04 drink is procured. It was not in the
4:06 kitchen where I thought it was. It was
4:08 on a dresser.
4:10 Oh, man. All right,
4:15 there we go. Here's the black bar. Boom.
4:20 Everyone on Tik Tok is happy.
4:23 Cam's bars.
4:25 We puppy cam on this feed. We really do.
4:32 Are you going to sing?
4:36 [Music]
4:41 Woohoo.
4:50 [Music]
4:53 Well, I heard there was a secret
4:58 David played and it pleased the Lord.
5:01 Hang on. I don't see any comments. Oh,
5:03 there it just came in. Retesh Patel. Oh,
5:07 you're back. I was never away. Was I
5:10 away? When was I away? I'm back. I'm I'm
5:14 here.
5:16 Sunny Yun, what's happening? So many
5:18 announcements I can't keep up. Welcome
5:20 to the club. Um
5:23 went went to a Google ADK demo.
5:27 Okay. ADK or ADR? I can't see from here.
5:30 The thing's weird. Um their version of
5:34 chat GPT instant checkout called agent
5:37 payment protocol
5:41 and now V3 3.1. Actually it's sunny.
5:46 It's not V3. It's V3.1. Come on. Come
5:50 on, man. Um, thank God for AI Learning
5:53 Labs.
5:55 You're the sweetest. That's very sweet.
5:57 Hey, retest. What's happening? Um,
6:00 welcome everybody.
6:03 Welcome, welcome, welcome. Um, yeah. So,
6:06 this was a this was an interesting
6:07 thing. So for the AI salon,
6:11 so a little bit of history of the AI
6:13 salon. I started the AI salon the week
6:15 that chat JPT came out. And for the
6:18 first year or so, we had in-person
6:22 meetings here in Denver that we also
6:25 broadcast online.
6:27 And about a year in, I realized that not
6:31 a lot of people were coming back.
6:34 They would come and then they wouldn't
6:35 return.
6:38 [Music]
6:40 And and what I realized
6:44 in in looking at the event itself was I
6:48 was hosting and managing a Zoom call. So
6:52 I basically invited people to a big
6:54 fancy conference room where they watched
6:57 me run a Zoom call. So it it was not the
7:00 most compelling format.
7:06 So I canceled it and we went all we went
7:08 all remote. So So we've been remote
7:11 since then.
7:13 And one of the things that's striking me
7:16 is that I think inerson events are
7:20 actually really important. I think
7:21 they're important for the salon. I think
7:23 that as AI um gets more prevalent and
7:28 and disrupts work and workers and people
7:30 get laid off and [ __ ] like that that
7:34 that connecting with other people is is
7:37 going to increase in importance and it's
7:39 going to increase in value. So, I want
7:40 to bring back in-person events in in in
7:43 in the salon. And so, I want to model it
7:47 here in Denver because here here's the
7:49 other thing that I've realized is that
7:51 the AI salon's now three years old. So,
7:53 every city has lots and lots of AI
7:55 groups, right? But the AI salon is
7:58 different than a lot of AI groups. A lot
8:00 of AI groups talk about the AI and they
8:02 talk about the tools and they talk about
8:03 embeddings and tokens and and and you
8:06 know the technology and and the salon
8:08 and the AI learning lab um are really
8:10 about like how are we using these tools
8:13 and what's the future of work and how do
8:15 you how do you learn to feed your prompt
8:17 like a producer. So so you're the one
8:19 that has the idea and then AI is at the
8:22 service of your idea, right? And so
8:25 could the AI salon be an outlet of a
8:28 different kind of meeting for all these
8:30 other AI groups in any given city? So
8:33 that's the idea. That's the that's the
8:34 concept. I haven't quite nailed what I
8:37 wanted to be yet,
8:39 but there's this guy in Denver named
8:40 Danny Newman, and he's he's uh he he
8:43 just uh sold his interest or or gave up
8:45 his interest in the Mercury Lounge, but
8:47 he's also got Brother's Bar. He's an
8:49 he's an entrepreneur and a and a
8:52 restaurant tour and just a really sweet
8:54 guy and a really smart guy. And so he's
8:56 got this new space called ID345,
9:00 which if you look at it, it says ideas
9:02 345, right? Like the number letters if
9:04 you're hip. Ah, ID345 is the name of the
9:08 space. And it's just this remarkable
9:11 space of like old vintage couches, like
9:15 all these little seating areas. It's in
9:16 like an old corrugated metal building
9:19 that was like a machine shop or
9:21 something like that. Um, and so I'm
9:24 talking to him about us partnering
9:26 together and that becoming kind of the
9:28 the Denver um home base for the AI
9:32 salon. Um, and then that's where we're
9:34 going to design meetings and and you
9:37 know figure out how to migrate those to
9:39 cities all over this fine land of ours.
9:42 So anyway, I'm super excited about that.
9:49 Retesh Patel, hope all is amazing in
9:51 your world. Well, Retesh, you know, you
9:53 know how it goes.
9:56 Be careful what you wish for, it is
9:58 amazing. Listen, stuff's still going on.
10:00 We're still fighting the good fight with
10:01 Story Vine. Um
10:04 um challenging as it may be, um we are
10:10 we've brought on some really kick-ass
10:13 professional people for the AI salon.
10:14 like we're really leveling up the AI
10:16 salon. In fact, Brandon, if you would
10:18 throw up the URL for the the AI salon.
10:21 Um, Retesh, if you haven't seen it in a
10:23 while, go go check out our new website.
10:25 We've now got a brand new website that's
10:27 been completely overhauled and
10:29 redesigned and it's got live feeds from
10:31 the community. And then if you want to
10:33 join the community, if you haven't
10:34 joined the community, go join the
10:36 community. And that's gotten an overhaul
10:37 as well. And we've got all sorts of
10:40 things planned. We're going to like take
10:42 the rest of this quarter to basically
10:44 just clean up all the mess and 2026 is
10:48 going to be absolutely remarkable. So,
10:50 if you haven't joined the AI salon, go
10:52 join the AI salon. Um,
10:56 for for a lot of reasons.
10:59 One of them is it is a community that is
11:02 remarkably generous and remarkably
11:08 the the the right word is loving. It's
11:10 it's a it's a it's a community of people
11:13 that no matter where you are with AI, if
11:16 you're just getting started with it, if
11:17 you're absolutely baller with it, um, no
11:20 one really cares about that. Everyone's
11:21 just like, "What are you working on?
11:23 Like, here's what I'm working on. How do
11:24 you do this? How do you do that? Oh,
11:25 here's how you do this. Here's what I
11:27 figured out." There's just there's a
11:28 generosity and a spirit within the AI
11:31 salon
11:32 that is unlike a lot of groups that I've
11:35 been a part of. Um, and
11:41 you know, Sunny, you just made the
11:43 comment like, you know, I go away for a
11:45 week and I how do I keep up with this
11:46 stuff? You can't keep up with it. The
11:48 only way you can really keep up with
11:50 things is to be
11:53 around people that are curious about
11:55 this stuff and figuring it out and
11:57 they're looking at it from different
11:59 points of view. Retes, you'll remember
12:01 this.
12:02 you know, the the Worldwide Web Artist
12:04 Consortium in the in the mid 90s in 94,
12:07 95, 96,
12:10 nobody knew what was going on with the
12:11 web. Nobody knew HTML or what UX was or
12:16 UI or just anything. Everyone was trying
12:20 to figure it out. And it was it was only
12:24 in being around people who were looking
12:26 at these technologies from lots of
12:28 different points of views that all of us
12:31 in New York that were part of that
12:32 group. We leveled up our game really
12:36 fast and really powerfully, right? And
12:38 that's the whole idea here and in the AI
12:41 salon is let's hang out with people.
12:43 Let's be in the conversation about AI
12:46 while this these technologies are
12:49 literally like we're in the primordial
12:51 soup right now. It's funny, you know.
12:53 Um, another thing, Riches, you'll
12:55 remember is like people always talk the
12:57 they're talking now about the hype of
12:59 AI. Oh, it's overhyped. You're in a
13:01 bubble. It's like the dot bubble. No,
13:04 it's not like the.com bubble. We're not
13:06 even close to the bubble part of AI. Not
13:10 even close. How do I know that? because
13:13 most real human beings don't give a [ __ ]
13:17 about chat GBT. A lot of human beings
13:20 have never even heard of it.
13:23 Like like 10 months ago, there was a
13:25 report that came out. 45% of Americans
13:27 had never even heard of chat GPT in that
13:30 report. It's like a McKenzie report or
13:31 something like that.
13:33 And then if you really dig into the
13:35 numbers like of all the people like, "Oh
13:38 yeah, I use chat GPT. I use it like once
13:40 a month." Yeah, I use it. I use it.
13:42 Sure, I use it. Yeah. Every once a week
13:44 or so. Yeah. Mhm. They're not using chat
13:47 GPT. They've used it once. They went
13:50 there and they did a Google search in it
13:52 and it gave them a shitty answer and
13:53 they're like, "Oh, I'm not very
13:54 impressed with AI."
13:58 I don't know why they're all Charles
13:59 Nelson Riley. You have to be a Gen Xer
14:02 to get that joke.
14:06 Anyway, um we ain't even close to the
14:09 bubble yet. Not even close to it. We're
14:11 like in 1996.
14:14 Metaphorically,
14:15 the bubble didn't really start till like
14:17 1998,
14:18 999. It burst in 2000, April of 2000.
14:24 [Music]
14:39 [Music]
14:42 You and I get on
14:46 Sunday morning here at home.
14:51 Sky's blue and the coffee is strong.
14:54 It's true.
14:57 So anyway, okay, let's get started. We
15:00 probably have a lot to talk about, a lot
15:02 to do. So if you're new here, my name is
15:04 Kyle Shannon. This is the AI learning
15:06 lab.
15:08 If you're like, you don't seem like a
15:10 professor,
15:12 you you would be correct. Sea slug of
15:15 doom. One of my senior bosses was having
15:18 a seizure because of our
15:19 implementations. Oh boy. AI.
15:25 Yes. Yes. Senior bosses. Uh well,
15:28 there's a couple of things going on. So,
15:32 senior bosses are are going to come in a
15:34 couple of flavors. Again, this is going
15:36 to be familiar to to to all you early
15:38 worldwide Webbers out there.
15:41 You're going to have some senior bosses
15:43 that are just in denial. And the and
15:46 they're going to be in denial for a
15:47 while and they'll just [ __ ] whatever.
15:49 They'll deal with it when it hits them
15:50 in the face. And you can have some se
15:54 senior managers that Yeah, we we got AI.
15:58 We got we got a group for that. we've
15:59 been doing it for 30, 40 years, right?
16:01 That that are that have the hubris of
16:04 someone that has a clue but actually
16:07 don't understand what AI is. And and and
16:11 that there's actually a massive
16:13 distinction between classic AI, the
16:16 thing they've had for 30 years, and
16:18 generative AI, the stuff that if if you
16:20 sort of take the the the launch of chat
16:22 GPT marks the beginning of the of the
16:25 generative AI era. It's it's a
16:27 fundamentally different thing.
16:29 Um, and then then you've got bosses that
16:32 are like kind of aware that it's coming.
16:33 They kind of need to deal with it and
16:36 they're just discovering that amongst
16:38 their employees, people have gone rogue,
16:42 right? They're um Ethan Mullik called
16:44 them the secret cyborgs, right? The
16:46 people that were secretly using AI off
16:49 to the side. And then within those
16:51 people there are people who are probably
16:54 implementing like technical solutions
16:56 without really good data cleanliness and
17:00 data privacy and security.
17:03 So so there are also some bosses now
17:05 that are like what the [ __ ] is happening
17:08 and then there's a very small amount of
17:10 bosses out there that are like they
17:12 actually have a clue. They're using it
17:13 themselves. They're understanding what
17:15 it is and they're going all in and
17:17 they're saying to our staff, "Get your
17:19 [ __ ] together. Get your [ __ ] together.
17:22 Learn AI and we're going to support you
17:23 and we're going to train you."
17:26 Sunny, you retest. We should connect.
17:28 You absolutely should. Um,
17:32 one of the things we like to do here in
17:34 the AI learning lab is a little
17:35 matchmaking. I think you two should
17:37 reconnect and go off and do some cool
17:40 [ __ ]
17:41 Beautiful. Um,
17:44 we love this stuff.
17:47 [Music]
17:49 Summarize some meeting notes for them.
17:51 Listen, this is so I was I was talking
17:53 to Ret, it's funny that you're here. Um,
17:56 you remember Sumin Sumn Chia? I was
17:58 talking to him today. So, we're working
17:59 on putting together a workshop.
18:03 Um, and and one of the things that I
18:04 want to design into the workshop is kind
18:08 of a two-headed beast for to get people
18:11 to understand what generative AI is in
18:14 the context of a business where the
18:17 first half of the beast is you take one
18:20 of their existing processes and you, you
18:23 know, automate it or make it more
18:25 efficient. So like take meeting notes
18:27 and turn them into, you know, into
18:29 summarized meeting notes and they'll be
18:31 like, "Oh my god, that's just amazing."
18:34 And and why I want to split that away
18:36 from this other thing is because
18:39 whenever there's a new technology
18:41 historically, what that technology has
18:44 done is just make the existing [ __ ] we
18:47 do more efficient. Very rarely is that
18:50 technology some actual new thing. It's
18:52 just some more efficient way to do it.
18:54 So when people first start out using AI,
18:57 they always start with, okay, let's
18:59 let's automate our email writing.
19:01 That'll be that'll be radical. We can
19:03 write emails so much faster. I'll tell
19:06 you what, you know what we could do? We
19:07 could put this email generation
19:10 capability inside some sort of
19:12 automation
19:14 like Zappy. Yes. Like Zapier. I've heard
19:16 of that. Yes. We put it in there and
19:19 then someone just puts in a topic and
19:21 out comes an email written in our style.
19:23 Fantastic. Right? That's where they
19:25 start and like they think that's the
19:28 innovation. So what I want to do is I
19:29 want to like go in and kind of blow
19:31 their mind with did you know that AI can
19:34 do this and this and this and they're
19:35 like ah so cool that's so amazing. And
19:39 then I want to bring out the bomb and
19:42 like say, "Now imagine
19:45 if we actually re-imagined how your
19:48 business worked or imagine if we if we
19:50 took this process and and rather than
19:53 trying to make that old process more
19:55 efficient, what if we just completely
19:57 redesigned this process and then go over
20:00 and use some some badass chat GPT prompt
20:04 or other to just completely show them
20:07 that there might be a whole new business
20:09 model that they might want to consider.
20:12 Um, you know, not as a way to scare them
20:14 away, but as a way to say, um, you got
20:18 to get on it, right? Because if you're
20:20 not, your competitors are, right? And if
20:23 your competitors are thinking like this,
20:24 how long is it going to be before
20:25 they're knocking at your door? So,
20:27 anyway, that's pretty cool. Okay. Um,
20:36 Denver area. Yes, I am in the Denver
20:38 area. I am in North Denver.
20:42 North Denver. The Sunnyside
20:44 neighborhood.
20:46 Sunnyside.
20:47 Sunnyside. Okay. So, what are we going
20:50 to do? Let's go. So, VO3.1 launched
20:54 today. I had a very busy day, so I've
20:57 not had a chance to play with [ __ ]
21:00 Um, producer Brandon was at MCON all
21:03 day. Said he had a really good day. He's
21:05 going to give us I I asked him to give
21:07 us a little report today. He's a little
21:09 sleepy. It's a long day. Um so he's he's
21:12 got today and tomorrow at MCON and then
21:14 probably I don't know uh the next day um
21:17 he'll come up and give us a report of
21:19 you know what he experienced, what he
21:20 learned, who he met, all that sort of
21:22 stuff. So really cool stuff. Um and Gwyn
21:25 is there. So that's super cool.
21:28 Um what am I gonna do here? Where am I
21:31 going to go? Let me do
21:36 [Music]
21:42 I guess I'll go there.
21:47 Okay. All right, good people. So, where
21:50 we're going to go
21:53 is we're going to head to
21:56 flow.google.
22:03 And so this is their flow. This is like
22:04 their video editor tool.
22:08 And I have
22:10 I have a ultra subscription here. So
22:14 this allows us to do
22:16 um a decent amount of video generation.
22:19 I also realized I'm in the creative
22:21 partner program for Runway and for Halo
22:24 Miniax. Um and I haven't played with
22:26 them in a while. So over the next couple
22:28 of weeks, I want to get back into
22:29 playing with those. I I I've said this I
22:33 said this a few weeks back. Um I think
22:36 that
22:38 no matter what business you're in,
22:44 no, no matter what your expertise is,
22:47 I think it's probably worth all of our
22:51 while
22:53 to understand what these video tools
22:55 make possible. Um, Runway's been hinting
22:58 for a while now that
23:02 what they're about to drop is a world
23:04 builder and we've got things like World
23:08 Labs, I think it's called, that that has
23:10 this, you know, image to 3D world
23:13 generator. It's janky right now and not
23:16 quite there.
23:18 Um,
23:20 but I just have this sneaking suspicion
23:22 that these video tools are going to be
23:25 gateways into
23:28 worldbuilding tools, which is going to
23:30 lead into game building tools. But it's
23:33 like I just have this feeling it's going
23:34 to be a new way to make images, a new
23:37 way to make information
23:40 graphics. Like there's just all sorts of
23:42 [ __ ] coming. So, so I'm probably going
23:45 to spend the next month or so going a
23:48 bit deeper in the video world than I
23:50 have um just because I just have
23:53 instincts. I have instincts about what's
23:55 coming and this this is feeling more and
23:59 more like like an important
24:02 communication tool um that it's in our
24:05 interest to learn. Okay,
24:08 so Ericana would love to see it. I know
24:10 I talked too much. Is V3 nano nano
24:15 banana advancement? No. Well, I don't
24:19 know.
24:20 Um,
24:22 so I think they have text to image in
24:24 here, don't they? No, they don't. Okay.
24:26 So,
24:28 so what what 3.1 has now.
24:32 So, we're going to do landscape. We're
24:34 going to do two outputs. V3.1 fast.
24:38 VO3.1 quality
24:41 100 credits for quality
24:46 fast. Zero credits for ultra
24:49 subscribers. Cool. And then V2, 10
24:53 credits. Oh, that's funny. And 100
24:56 credits for V2. Interesting. All right.
24:58 So, this isn't going to cost us any
24:59 credits. Although I will do I'll I'll do
25:02 a couple of generations here and then
25:04 we'll um
25:06 we'll uh
25:09 we'll do them in both in both things for
25:12 sure. It leveled us all up. By the way,
25:14 there's a Mercury Lounge in Denver.
25:16 Yeah, there is. Is it a New York City
25:19 transplant? No, it's No, it's the
25:22 Mercury Lounge in Denver. A bunch of
25:26 like radio had played there before they
25:28 were big. there there's like a bunch of
25:29 bands that played there before they were
25:31 big and they were going to shut it down
25:33 and this guy Danny Newman um bought it
25:37 to save it and uh and he I think he ran
25:40 it for three or four years um and then
25:42 he just he just basically transferred it
25:44 to another management group right now.
25:46 But it's it's still it's still kicking.
25:48 It's still kicking. He said he was a
25:50 little disappointed that the like the
25:52 Denver the neighborhood community did
25:54 not really support it like he thought
25:58 they would. Which is kind of a drag,
26:00 right? He comes in to kind of save the
26:02 you know save the neighborhood thing and
26:04 then people are like, "Yeah, whatever.
26:07 I got to go watch the AI learning lab.
26:10 I'm not going to your stupid bar."
26:17 Oh man.
26:21 Oh yeah. So, is is the Walmart thing
26:24 live or did they just make the
26:26 announcement, Brandon? Do you know?
26:29 Because I know they made an
26:31 announcement.
26:33 Announce announcement. Yeah. But this is
26:36 a big deal. Walmart cut a deal
26:40 with Open AAI now.
26:44 and and OpenAI just launched apps inside
26:48 inside chat GPT. So, we're going to see
26:50 a Walmart app inside ChatGpt. So, that's
26:52 that's coming. But, I think what's
26:54 interesting I this was not my thinking.
26:57 Um,
26:59 but there was a uh a Twitter post that
27:02 that kind of made the call and I
27:04 thought, "Oh, yeah, that's it."
27:06 The reason these companies are
27:09 announcing deals with Open AI is that
27:12 everyone's anything Open AI does gets
27:15 talked about in the press. So, so these
27:19 brands that want a little a little boost
27:21 to the old uh the old bottom line, a
27:23 little shareholder little shareholder
27:26 kick in the ass announce a deal with
27:28 with Open AI. So, so Walmart just did
27:30 that. So, I don't know what that's that
27:33 means. They get access to [ __ ] They're
27:35 going to be in the store sooner than
27:36 anyone else. Who knows? But that's
27:38 coming. Okay. So, a couple of things
27:41 that we can do now in um in VO3.1
27:47 is you can do start and end frames and
27:50 you can also do ingredients. So,
27:52 ingredients are things like you can have
27:55 um you know a a picture of a person, a
27:59 picture of a dress and a picture of a
28:01 purse. And then you can say, "Put this
28:03 dress on the person and have them
28:04 holding the purse." And you can do that
28:06 kind of stuff. And then you can also
28:07 have it talk. So that was a thing I did
28:09 before was talk. So let's let's do a
28:13 couple of things. Let's am I sharing my
28:15 screen? I am. Let me jump over to chat
28:17 GBT for a second.
28:21 and we're going to go. I need some ideas
28:25 for a video prompt for VO
28:31 three.
28:33 Um, give me a good eight second story
28:39 with three shots, an interesting
28:43 character
28:49 uh, and scene
28:52 and
28:53 dialogue.
28:56 Describe
28:58 everything and give me
29:03 give me
29:05 20
29:07 prompts
29:10 of unique
29:13 scenes. Okay. So, what I'm doing here is
29:18 choosing not to use my brain. I could
29:21 just go into VO3 and think,
29:25 but I don't want to do that. The
29:27 thinking is exhausting. To Sunny's
29:29 point, I can't keep up with this [ __ ]
29:31 Exactly. So, just have chat GBT write
29:34 your [ __ ] The time travelers coffee.
29:38 Um, Goldfish Fortune Carnival Goldfish
29:40 booth at Dusk. Oh, that's because we
29:42 just did our carnival thing. Let's do
29:44 that one. We just did a carnival song
29:46 and chat GPT remembered that because
29:48 it's swell. All right, here's flow. So,
29:51 we'll share this tab instead. We're
29:53 going to do text to video. So, we're
29:55 going to pop that in there. Beautiful.
29:57 Now, actually, what I'm going to do is
29:59 I'm going to say, um,
30:03 maybe I'll do it with nano nano banana.
30:06 Um,
30:09 nano.
30:10 No. Uh, we need Gemini.
30:12 gemini.google.com.
30:17 And we're going to make an image. Wait,
30:18 new image generation just got better.
30:22 Oh, video generation just got better
30:23 with with VO3.1.
30:26 And if Oh, wait. I got to share this
30:28 tab. Hang on. Video generation just got
30:31 better with V3.1. Try now. Oh, and okay.
30:34 So, you can do this inside.
30:39 Wait, where do you find that? In here.
30:43 Yeah, create videos with VO. So, you can
30:45 do VO 3.1 inside Gemini as well. So,
30:48 flow.google or gemini.google.com.
30:53 And actually, now that I think about it,
30:55 I don't think you can make images in
30:57 Flow. Oh, but you can edit them
30:59 together. That's kind of interesting.
31:03 Huh.
31:05 All right. Well, whatever. Let's go
31:08 here.
31:10 Or no, let's go here and and say um make
31:15 me a start and end
31:19 frame
31:21 for this video prompt.
31:25 Oops, I didn't put in the video prompt.
31:27 Could you please share the video prompt?
31:29 Hey, idiot.
31:37 Hi, my name my name Kyle Shannon and I
31:40 make good the good AI teach you good on
31:44 the AI
31:46 on nightly.
31:52 Some people have a way with words. Other
31:54 people um
32:00 not have way.
32:04 Name that comedian. Name that comedian.
32:06 You Gen Xers. If you can't name that
32:08 comedian,
32:10 we didn't hang out together in high
32:11 school.
32:16 You teach good nightly. Thank you, Side
32:18 Hustle. Mimi.
32:23 Oh, lordy. Chat GBT's gone all
32:26 proprietary. Wait, what? What the [ __ ]
32:28 just happened here?
32:31 Visual audio. What? Inframe. No. Oh, let
32:36 me turn on create images.
32:39 No. Make the
32:42 16 by9
32:44 wide image of each
32:53 breaking.
32:54 [Laughter]
32:57 Gareth is here.
33:00 Yo yo yo yo. What up? Gareth was shaken.
33:05 It made a square.
33:12 I can't I I just
33:15 could Could could could
33:18 one of the frontier model companies
33:20 please
33:22 please
33:25 hire a liberal arts major? Please.
33:30 Please.
33:32 cuz they'll tell you the importance of
33:35 being able to describe the aspect ratio
33:38 of an image. If you're making a video
33:41 that has an aspect ratio,
33:46 it it's not hard.
33:49 It's math.
33:52 It It's 16 by 9 or it's 9 by 16 or it's
33:56 3x4 or 4x3. It's math.
34:00 You people are good at math,
34:02 but you don't.
34:06 Okay, hang on. Aspect
34:10 underscore ratio
34:12 equals
34:14 quote
34:16 16 colon 9. Why do I have to write code
34:21 to get it to make a wide image? Why? Why
34:24 can I not just say wide image? Why can I
34:26 not just say 16 by9 wide image? Like you
34:29 you can understand Sanskrit.
34:34 You could understand make it wider.
34:38 [Laughter]
34:38 [Music]
34:41 Please remake these images
34:45 as
34:47 wide images and remove the word
34:52 escape.
34:55 Escape from the opening. I imag.
35:10 So Gareth,
35:12 irregular,
35:14 you know, weirdo like all of us, made a
35:18 Sunno song
35:20 and it got picked up by the Mariners
35:23 baseball team.
35:25 And and oh good god. Oh good god.
35:31 And they played they played his song at
35:34 the at the game tonight. That's [ __ ]
35:36 awesome. Hallelujah. There you go.
35:40 Gemini does not like 16 by9. It it
35:43 Here's what it here's what Apologies for
35:45 the oversight on the aspect ratio and
35:48 the text removal. You're absolutely
35:50 right. Here are the revised images both
35:53 in 16 by9. If I look at this, I don't
35:56 know. I'm no mathematician,
36:00 but that's looking an awful lot like one
36:02 colon one,
36:04 not 16 colon 9.
36:10 Who did I talk to? I was talking to uh
36:13 Michael. What's Michael's last name
36:15 from? From from um from video flow. What
36:19 the [ __ ] his last name?
36:21 Anyway, he was telling me like Nano
36:24 Banana is changing everything. And then
36:26 he said the the hack that they found to
36:29 incorporate Nano Banana into their video
36:31 tool, they basically have to serve up a
36:34 gray image. That's the right aspect
36:37 ratio. It's the only way they can get
36:39 the right aspect ratio. They can't
36:40 prompt it.
36:46 It's like when you tried to get chat EBD
36:48 to count to 100 in voice mode. Yeah,
36:50 exactly. Yeah. Or or how many yards ours
36:52 are in Strawberry, right? Like they'll
36:53 fix this. But it's like Jesus Christ.
36:55 Like honest to God, [ __ ] hire some
36:59 liberal arts majors, hire some
37:00 filmmakers, hire some [ __ ] artists,
37:05 engineers. STEM is not the only [ __ ]
37:09 valuable thing on the planet.
37:13 There's the A part. art, humanities,
37:17 human beings,
37:20 just have one of them there that's got
37:23 like balls. They're not testicles, but
37:26 has like the willingness to tell you no,
37:29 do not launch that until you go fix
37:31 that. Well, well, technically, uh people
37:34 if if they what they understand is the
37:36 the the last uh uploaded image of course
37:39 with the with uh is we will pull the
37:41 aspect ratio from the app. People don't
37:44 know that.
37:46 Just go fix it.
37:50 Get out of my office. I've got video
37:53 games to play.
37:55 Good lord, people. Take that pin. I was
37:58 told there would be no math. Exactly.
38:01 Exactly.
38:09 I'm a side hustle mimi. I shouldn't have
38:12 to be doing math and code to make pretty
38:14 pictures.
38:18 Okay, let's go look at our video. I'm
38:21 exhausted. I'm just exhausted.
38:28 Okay, here's our first VO3.1
38:32 text to image model. Many things are
38:35 still valuable, but teaching apparently
38:37 is not.
38:41 Looks like 9 by9 or 16 by 16. Huh.
38:48 Okay, let's see if we've got audio and
38:50 if we've got uh a nonshitty video. So,
38:54 just looking at it as a still image, it
38:57 looks decent. Their hands are not
39:00 freaky. There's too many goldfish.
39:04 But all right,
39:06 >> you're the one that'll get me out of
39:08 here.
39:08 [Music]
39:14 You're the one that'll get me out of
39:16 here.
39:17 >> So, that's a that's a mistake that Sora
39:19 has, too. I assume that's supposed to be
39:22 the fish talking and uh the girls
39:26 talking. So, that's one of them. Let's
39:27 hear Let's see this. You're the one. It
39:30 also put in a two two to one aspect
39:34 ratio.
39:36 So, notice it's it's letter boxed or
39:38 whatever it's called when it's top and
39:39 bottom black bars. I forget what that's
39:41 called. All right, let's see this one.
39:47 You're the one that'll get me out of
39:49 here.
39:55 >> You're the one that'll get me out of
39:57 here.
40:01 So,
40:04 oh lord, I think Tik Tok may ban us for
40:08 life for this one. Oh lordy.
40:12 So, first the woman goes from being
40:14 black to being white.
40:17 She comes in on the other side of the
40:19 frame and then the carney the carney
40:22 goes in to lay one on her.
40:32 Oh man, that that is uh you just can't
40:36 do that.
40:40 It it cuts right before the kiss.
40:46 She looks young. Better get that off the
40:48 screen. Yeah, exactly. Puke Rainbow's
40:51 creative.
40:53 Okay. All right.
40:55 So So
40:57 one of the things that that we talk
40:59 about in here, we've talked about for
41:00 years, embrace the jank. Where we are
41:02 right now with all AI tools, every AI
41:05 tool, there's not a single exception
41:07 right now. They're all janky. They're
41:09 all all sorts of [ __ ] up now
41:12 from where we were a year ago. Like the
41:15 video one year ago was like the horrible
41:19 Will Smith, you know, spaghetti morphing
41:22 into his face. Like we've come a long
41:24 long way. And you can get these things
41:25 to do remarkable things, but that's
41:28 pretty shitty. Let's go get Let's go get
41:31 How do I want to do this?
41:36 Let's go get two different start and end
41:39 frames for midjourney
41:41 and and come in here and do and do image
41:44 to video with a start and an end frame.
41:48 Midjourney midjourney. Midjourney.
41:51 Midjourney. Midjourney.
41:56 Yeah, exactly. A year ago we were pumped
41:57 about text editing with Dcript. Yeah,
41:59 exactly. And it's like Yeah. remember
42:01 when I was the first one that came out
42:03 that did text well and now like they all
42:05 do text well. It's just this is
42:11 there there won't be a point where
42:13 having the AI learning lab doesn't
42:15 actually make sense, right? There's
42:17 going to be a point at which these tools
42:19 are all good enough that you can
42:21 literally just use any tool and get any
42:23 result. We ain't there yet, right? And
42:26 part of the part of the art of AI right
42:30 now is just kind of playing enough to
42:32 kind of understand you have to navigate
42:35 around the imperfections and you have
42:37 to, you know, jump between multiple
42:40 tools and and things like that. So
42:42 that's just where we are right now.
42:45 It's neither good nor bad. It just is
42:48 what it is.
42:50 Create excellence,
42:52 including spelling it correctly.
42:58 Oh, these are kind of cool. Maybe we'll
43:00 take one of these images.
43:04 That one's kind of neat.
43:13 What if we took
43:16 [Music]
43:19 What if we took like this image
43:23 and this image
43:26 and do those as a Oh, did I not change
43:28 my [ __ ] tab? Sorry about that.
43:32 We're going to take this image and this
43:35 image and we're going to do those as a
43:36 start and an end frame. And then here's
43:38 the cowboy things I was talking about
43:40 that were kind of cool.
43:44 Yeah, maybe we'll just take one of
43:45 these. This is a cool one. We'll grab
43:48 this one. So, we'll do this as a start
43:51 frame only. Let's Let's do a new
43:54 project, shall we? So, we don't so we
43:56 don't have to watch the carney kissing
43:58 the young woman.
44:03 Good lord. Okay. So, we're going to do
44:06 frames to video. Let's go grab the
44:08 cowboy.
44:20 Okay.
44:22 Did Did we get it? Yes. Okay. Um,
44:29 cowboy
44:31 walks
44:34 toward the camera
44:37 as camera as a car
44:42 passes by
44:45 and
44:48 someone yells out
44:52 the window.
44:58 Get
45:00 yells out the window. Um
45:04 um get back on your horse.
45:10 [Laughter]
45:16 You
45:18 big dummy.
45:21 We're going to make a video of cowboy
45:23 bullying.
45:28 Oh, wait. I didn't I didn't share the
45:30 tab. Anyway, that's the prompt. So So
45:33 cowboy walks toward the camera, car
45:35 passes, and someone yells out the
45:37 window. Get back on your horse, you big
45:39 dummy. All right, so that's that one.
45:42 Okay, so now let's do a start and end
45:44 frame.
45:45 So we're going to do the start frame is
45:47 going to be the spoon image.
45:51 and crop and save.
45:56 All right.
46:00 And then the end frame is going to be
46:03 this image.
46:06 And we're going to give it no prompt.
46:07 We're just going to crop and save.
46:17 Do I have to give it a prompt? I do. I'm
46:19 going to go morph
46:22 morph in an interesting way. There
46:27 there's a miss. You should be able to
46:29 just have a start and end frame and not
46:31 give it a [ __ ] prompt.
46:33 Uh morph in an
46:37 interesting way. Oh, that was pretty
46:38 fast. Interesting way.
46:42 All right. Go. All right. So, there's
46:45 that.
46:47 Let's go listen to our cowboy. Add to
46:50 scene.
46:52 All right. Are you all still seeing
46:53 this? What is he using?
46:57 Um, this is flow. I'm in flow.g Google.
47:00 This is the VO3.1,
47:03 which you can also do VO3.1 in. Can't
47:07 see the window. We're still on the
47:08 Carney. Listen, I know
47:12 Brandon, producer Brandon's very sleepy
47:14 tonight, so he he missed a couple of
47:18 shot collars for me.
47:25 >> Get back on your horse, you big dummy.
47:28 >> Oh, the cowboy said it. That was pretty
47:31 good.
47:34 >> Get back on your horse, you big dummy.
47:37 [Laughter]
47:44 I like it.
47:48 >> Get back on your horse, you big dummy.
47:56 >> Brandon, sorry. Writing an article. It's
47:59 It's totally okay. I'm just like
48:00 switching between tabs like a man madman
48:04 and talking as if I've switched tabs,
48:07 but I haven't. Um,
48:11 so that's actually an interesting um
48:15 that's actually an interesting bug of
48:17 these models that they they have the
48:19 wrong person do the talking. Let me let
48:21 me see if I can change that prompt.
48:25 We're going to reuse the prompt. Cowboy
48:27 walks toward the camera as a car passes.
48:30 Period. Period. Then I'll go someone in
48:35 the car.
48:37 in the car.
48:40 In the passing car,
48:45 leans out the window
48:52 and yells,
48:58 "Get back on your horse, you big dummy."
49:03 The cowboy
49:08 keeps walking
49:11 unflinched.
49:15 All right, let's see if we can prompt
49:16 this a little more betterer.
49:19 Oh, and here's our here's our uh our
49:23 spoon morphs.
49:25 Tik Tok just alerted me that you were
49:29 live. A bit passive aggressive.
49:33 Tap tap tap. Thank you, Side Hustle
49:34 Mimi. All right, screen share, please.
49:37 Okay, so let's see if this is any good
49:39 or interesting and and what the audio
49:42 is.
49:51 That's pretty cool.
50:07 Here's one of the mystical, magical
50:09 things about AI. And and I'll tell you
50:12 what,
50:14 if I were in motion graphics, if I had
50:17 if I had the patience to be in motion
50:19 graphics, I don't. If I were in motion
50:22 graphics right now, I would hate AI for
50:26 two for two reasons. Two two two
50:29 reasons.
50:31 one because it's like, "Holy [ __ ] I've
50:33 been doing this for 30 years and they're
50:35 not going to need to hire me anymore."
50:37 Which that's just [ __ ] insane. It's
50:39 just it's where we are right now. That's
50:40 where everyone is right now. And then
50:44 the second one is
50:51 people that don't know motion graphics
50:54 like me. Like I I I appreciate when [ __ ]
50:57 moves, but I don't think in terms of
50:59 layers and when you move [ __ ] and what
51:01 you do, but this relatively
51:04 intelligently
51:07 chose,
51:10 right, the center spoon to to shatter
51:15 to reveal that
51:18 half te pattern
51:21 to
51:23 mask out the edges of that image and
51:26 keep the spoons in the center and some
51:28 of the foreground.
51:30 Have them go to the center of that
51:32 square.
51:36 Then have two of those things rotate and
51:38 two of those things not rotate. Right.
51:42 Right. So like those two are rotating
51:45 and the ones on the right are not.
51:49 If I were a mo motion graphics person or
51:52 if I were a client, I'd go, "Hey, love
51:55 that video on that last frame. Could you
51:57 make those other things animate?"
52:04 And the motion graphics person would be
52:05 like, "Actually, no, I can't because
52:08 this is [ __ ] AI because you think
52:10 everything can be done instantly now and
52:13 you're only paying me a nickel.
52:16 I don't have the budget or the hours to
52:18 actually go do anything that you're
52:20 asking for.
52:24 But people who are just AI native people
52:27 are just going to be like, "Oh yeah, I
52:29 did that thing. That's cool enough."
52:31 Right? And it's going to be fascinating
52:34 because the the AI native people are
52:36 going to they're going to get good
52:39 at kind of vibe creative where it's just
52:42 like I sort of wanted to do a thing
52:44 that's good enough.
52:46 and they're going to be able to move
52:48 really fast through that. And then
52:50 they're going to have no shame about if
52:52 a client goes, I want those other two
52:54 things to animate. Ah, I can't do that.
52:56 I can start over.
53:01 Um, puke rainbows creative. Yeah. Oh, I
53:04 work in After Effects a lot, but AI
53:06 prompting drives me crazy because of
53:08 inconsistency. Exactly. The the This is
53:12 the thing. Th this is a there is going
53:15 to be a generational divide.
53:19 When did I hear this? The the first time
53:21 this really struck me.
53:25 Oh, it it was when we were It was one
53:27 night in here. We were doing songs in
53:29 Sunno.
53:31 And someone came in and they said it it
53:34 might have even been in my comments to
53:35 one of my videos, but but someone
53:37 basically said, you know, this isn't
53:40 real music because musicians can't
53:44 control it down to the track level,
53:45 right? They can't control it down to the
53:48 note level like you can in a DAW in in a
53:51 digital audio workstation. Um,
53:55 and my my reply to that was that's a
53:58 different market, right? This is
54:01 creating
54:03 songs with an AI tool like Sununo is not
54:07 about control. Now, what's fascinating
54:11 about Sunno in particular
54:13 is they've got Timberland, the producer
54:16 Timberland is, you know, is one of their
54:19 adviserss. They just launched a DAW. So
54:22 in Sunno right now, you can take one of
54:24 the songs it produces, split it into up
54:27 to 12 tracks, and now you can go in and
54:30 edit and and sort of prompt new tracks
54:33 into the song. So you actually have a
54:35 level of control in Sunno you didn't
54:37 have before. Um, so it's going to go one
54:40 of two ways.
54:42 software like After Effects is just
54:45 going to become riddled with AI where
54:47 you'll have sort of control if you want
54:50 it but generation if you want it. I
54:53 think Adobee's between a rock and a hard
54:56 place with AI right now. They they're
54:59 trying not to piss off the creative
55:01 community
55:03 and so because of that they haven't
55:05 trained their model on copywritten work
55:06 and because of that their models suck,
55:10 right?
55:11 And also
55:13 they don't want their models to be so
55:15 good that you actually don't need to use
55:19 After Effects or Photoshop or Premiere
55:21 Pro, right? But like the midjourneys of
55:25 the world and the and the like all these
55:27 different companies, the video companies
55:29 of the world, they're all coming after
55:30 Adobe. They're like, "Well, wait a
55:32 minute. Why do you need to go into this
55:34 professional software and pay them
55:36 [ __ ] $500 a month or whatever the
55:38 [ __ ] extortion fee is that they
55:41 charge for their creative suite and and
55:44 have to learn all this complicated
55:46 software and take a [ __ ] decade to
55:49 learn all this software and you could
55:50 just go make me a movie with a cowboy in
55:52 it
55:55 which again I know is going to piss off
55:57 the creatives but it's like
56:01 this is a new way of creating content
56:05 and and there are going to be
56:06 professionals my my co-host in the AI
56:09 salon Liz Miller Gersfeld is a really
56:11 good example of this. She was a producer
56:13 in the agency world for 20 years
56:17 and she quit like three years ago and
56:19 started teaching herself AI because
56:21 she's like, I want to figure out what
56:22 this stuff is. And now she's fullon
56:25 being hired as effectively a consultant
56:30 with traditional production shops
56:32 because they don't know what the [ __ ] to
56:33 do. They don't know what's going on.
56:35 They're not paying attention to this.
56:37 Their directors are like, "I'll never
56:38 touch AI." and their clients are like,
56:40 "Could you do some of that AI [ __ ]
56:42 because I hear it's cheaper."
56:45 So, so we're in a we're in a weird
56:48 quandry right now. DIY video is great if
56:51 that's what you want, but less control.
56:53 I think people are going to start
56:54 dropping Creative Cloud. I don't use
56:56 After Effects. Oh, if I didn't use After
56:58 Effects. Yeah, I'm the same way with
57:00 with Photoshop and Illustrator to a
57:03 degree, but it's mostly Photoshop. Yeah,
57:05 I've got the Creative Suite. Like I
57:07 occasionally use Adobe Audition. I
57:10 occasionally use Premiere, but like I
57:13 hate video editing so much I started a
57:15 company to not to automate video
57:18 editing. So my company, Storyvine, is a
57:21 is an automated video storytelling
57:23 platform because I just I have ADD. I
57:25 can't stand editing. It just it takes
57:27 too long. It takes too much paying
57:29 attention. I just don't care. Um Mary
57:33 Mary wants you to post the spoons. All
57:34 right, let's look at the second spoon
57:36 video. We haven't even seen the second
57:37 one yet.
57:40 >> I like that sound.
57:42 >> Wow,
57:45 that one's so good.
57:55 That's kind of crazy,
58:04 huh?
58:05 And with After Effects, you could
58:07 actually meld those two together,
58:09 couldn't you? You could take this the
58:10 second half of this one
58:14 right
58:17 there.
58:20 Actually, you know what? Let's do that.
58:27 Download. Oh,
58:30 original size.
58:32 Download original size.
58:35 All right, let me go change how I'm
58:36 sharing.
58:41 [Music]
58:42 Share screen. Entire screen. Here we go.
58:48 IP wants to know the spoon prompt. The
58:51 spoon prompt was just well so this the
58:54 spoon prompt miss
58:57 it it was it's not about the prompt.
58:58 It's about a start frame and an end
59:00 frame. So the the start frame is the
59:03 spoon image. the end frame is that and
59:06 then the the prompt was I didn't want to
59:08 give it any prompt but it it made me
59:10 write something so I just wrote morphs
59:13 in an interesting way.
59:16 Um
59:18 but I want to go grab the videos and see
59:19 if I can grab the last
59:22 if I can in Let me see. How do I want to
59:25 do this? I know how I want to do it.
59:26 Okay, so we're going to open both of
59:27 these.
59:30 So this one,
59:32 this one we want after it gets
59:38 all that.
59:41 Read the sticky mind your black bars.
59:44 >> Oh yeah, thank you.
59:52 Movie and irregulars. Tik Tok pin. Oh,
59:53 tic that pin showed strange stranger my
59:57 baseball movie from 2 tonight in pub was
1:00:00 blown away. Oh, that's great. Corey,
1:00:06 when I said I made it, I I I'm telling
1:00:09 you, man, it's like one of my great joys
1:00:10 in life is is um blowing people's minds
1:00:15 with AI where they're just like, you
1:00:18 know, I I'll tell you what, here's
1:00:19 here's one thing I know. AI cannot be
1:00:22 creative. Okay, it's just a stochcastic
1:00:24 parrot. It's just predicting the next
1:00:26 token. Okay, there's there's no
1:00:29 creativity there. And then you show them
1:00:31 some [ __ ] movie you made. You're
1:00:33 like, "How's this?" Like, "What? What's
1:00:35 that? That's an AI movie that I made."
1:00:37 That's AI. Yeah. How?
1:00:40 [Laughter]
1:00:43 Well, watching the Jay's winning. That's
1:00:45 awesome. Okay. So, wait. I wanna I want
1:00:48 to do a little little manual editing
1:00:50 here. So, we're going to go right
1:00:52 before.
1:00:59 Okay. So, this is going to there's going
1:01:00 to there's going to be a bad cut here.
1:01:04 [Music]
1:01:06 Okay. So, we're going to split the clip
1:01:09 here.
1:01:12 Split clip.
1:01:14 Oh, and QuickTime crashed because
1:01:19 Hey, Apple. Why don't you work on
1:01:22 QuickTime not crashing when I split a
1:01:25 clip in it? And why don't you go find
1:01:28 Elon Musk's little video buddy over
1:01:31 there
1:01:33 um who can't figure out how to upload
1:01:35 videos to their $40 trillion little
1:01:39 little platform.
1:01:42 That'd be swell. And you guys could go
1:01:44 fix it together. You can have like a
1:01:45 little work session.
1:01:48 go to a co-working space in downtown
1:01:50 Seattle and go fix your [ __ ] How about
1:01:54 that?
1:01:56 Um, okay. So, let's save this as uh
1:02:02 shapes
1:02:04 dash end.
1:02:06 By the way, for you creative
1:02:09 professionals here, um, if you haven't
1:02:12 been here before, one of the things I do
1:02:14 like to do is give file management
1:02:16 advice. So, my advice for saving your
1:02:20 files is always save them to the desktop
1:02:24 with a non-escript name loose without a
1:02:27 folder. That will save you hours of time
1:02:31 because you realize you'll never be able
1:02:34 to find anything. So, you just won't
1:02:35 look. Okay. So, I'm going to add a clip
1:02:38 to the end of this and I'm going to add
1:02:40 shapes.
1:02:42 Done.
1:02:44 And now we're going to watch it and see
1:02:46 what we got.
1:02:47 Okay,
1:02:50 Paula Rainbow's creative or Puke
1:02:52 Rainbow's creative liked my file
1:02:54 management skills. I listen, I don't
1:02:56 like to brag, but when you got talent,
1:02:58 you got to you sometimes you got to
1:03:00 flaunt it, you know? You know what I'm
1:03:01 saying? I got I got skills in the uh in
1:03:05 the the management area.
1:03:13 Okay. Sort of. Okay. So, what I need to
1:03:16 do is I need to not have it pause so
1:03:19 long.
1:03:28 Okay, wait. Hang on.
1:03:32 Split it right there.
1:03:36 Split.
1:03:44 Oh, yeah. I just I just killed that
1:03:45 whole section. There we go. Boom. And
1:03:48 then we do this. And now we do
1:03:52 we go back here.
1:03:54 And if by the way, if you're wondering
1:03:56 what am I doing,
1:04:03 that's not so bad. That That is what if
1:04:06 if you're not if you're neurotypical,
1:04:09 why are you still watching this? If
1:04:11 you're neurotypical,
1:04:13 what you might think is, "Oh, he's doing
1:04:16 something important here." No, no, no. I
1:04:20 had a brain fart. I saw that the one of
1:04:23 them had a more interesting ending than
1:04:25 the other one did.
1:04:28 So, so I just wanted to stick them
1:04:30 together and see if I could get it to
1:04:32 like use the best of both. The answer
1:04:35 was yes. And it's not horribly janky. If
1:04:38 I used actual, you know, motion graphics
1:04:42 software, it' be really good and I would
1:04:45 do audio design [ __ ] but you know, this
1:04:47 is add. Welcome.
1:04:52 Click, click, click. And
1:04:55 there's a little bit of a glitch with
1:04:56 the purple, but you know, I don't really
1:04:58 care. All right, so that worked. Okay,
1:05:03 I feel attacked with the file saving
1:05:06 advice. Listen, listen. It's You know
1:05:10 what's funny? I've been doing this for
1:05:11 three years and probably about once a
1:05:14 month, like before I go live, I eat
1:05:17 dinner and I'm watching TV and I'm
1:05:19 thinking like, you know, I should
1:05:21 probably really like make like a little
1:05:24 file system like just it could be just
1:05:27 like a AI learning lab folder and then
1:05:29 maybe there's like two folders inside it
1:05:32 and I just stick [ __ ] in either of
1:05:33 those. Nope. I've never done it. It's
1:05:36 just it's just mountains of files on my
1:05:39 desktop because you know what I'm
1:05:41 waiting for?
1:05:43 I'm waiting for Apple to get their [ __ ]
1:05:45 together and actually add artificial
1:05:46 intelligence to their operating system
1:05:48 and I can just say, "Oh, go find me that
1:05:50 thing with the with those shapes and
1:05:53 it'll go find it." But, you know,
1:05:55 they've dropped the ball. So, this is on
1:05:57 that. This is not on me. This is not on
1:05:59 me.
1:06:01 You're in you're in good in good company
1:06:03 puke with your file management. Okay. Um
1:06:08 let's go to a regulars and look at Corey
1:06:10 Sandler's uh
1:06:13 whatchamacallit movie. What's her movie
1:06:15 about? I guess we'll find out. I hope
1:06:18 it's not about a carney kissing a little
1:06:20 girl.
1:06:28 Oh, good lord. Okay,
1:06:31 here we go. And we're going to go to
1:06:34 irregulars.
1:06:38 Oh, nice. Kyle does his famous box demo.
1:06:45 Where? Oh, do I need to reload? I
1:06:46 probably need to reload.
1:06:50 No, it's not here. Where is it? Is it
1:06:53 not in irregulars?
1:06:57 There's Mary Mary. That's a cool image.
1:06:58 Better irregular than irrelevant. Love
1:07:00 that.
1:07:03 That's actually really cool. Look at
1:07:05 that. Look at that picture. Love it.
1:07:21 Corey Sandler. Where's your Where's your
1:07:22 movie?
1:07:28 Uh uh. Is it in Is it in uh community
1:07:31 feed? Maybe it's in community feed.
1:07:34 Gareth Vio 3.1. Oh, we should watch the
1:07:37 video. Let's do that. Mayon, very cool.
1:07:42 Corey Sandler, look what I made. Maybe.
1:07:45 Yeah, but I don't know where that is
1:07:46 anymore. We changed everything.
1:07:51 No, that's Gareth.
1:07:53 Corey Sandler. Ah, here's a little Sora
1:07:56 2 for you. Now, a re a regeneration is
1:07:59 coming, but this was fun. Okay, cool.
1:08:03 We got to figure out sora.gpt.com.
1:08:09 I wish uh Mighty Networks was better at
1:08:11 previewing videos.
1:08:17 Oh.
1:08:21 Wait, wait.
1:08:24 >> Got it for you.
1:08:29 >> And there's also no no, you can't rewind
1:08:32 videos, can you?
1:08:33 >> You got this. You've got what it takes.
1:08:36 Nail it. Nothing's going to stop you.
1:08:39 Ready? Now.
1:08:41 >> Got it for you. You got this.
1:08:46 When the batter hits the ball, we see
1:08:48 the ball travel around the world through
1:08:50 landmarks of countries like England and
1:08:52 India and Indonesia and Africa and
1:08:54 China. The baseball travels fast through
1:08:57 many countries until it comes back
1:08:59 around to land on in her girlfriend's
1:09:02 hand. And the ball lands with the force
1:09:06 with force in her hand, but she holds it
1:09:08 and smiles lovingly at her girlfriend,
1:09:10 the batter, who blows her a kiss. Oh,
1:09:11 that's cool. That's beautiful. Nice.
1:09:14 >> You've got what it takes. Nail it.
1:09:17 Nothing's going to stop you. Ready now.
1:09:21 Got it for you. You got this.
1:09:24 >> That's cool. Nice. Love it. I love it.
1:09:28 All right, let's go somewhere. I just
1:09:31 saw
1:09:34 um
1:09:38 [Music]
1:09:42 wait.
1:09:44 Oh yeah.
1:09:47 Eelon,
1:09:50 where did I just look? In community
1:09:53 feed. Yeah, the VO3 movie.
1:09:59 Here we go.
1:10:02 Do you see that? No. Share this tab
1:10:04 instead.
1:10:07 >> This is VO, the video generation model
1:10:10 designed for creativity.
1:10:12 New enhanced capabilities give you
1:10:14 control like never before. Let's take a
1:10:17 look. You can use a reference image, a
1:10:20 location, a character, object, or a
1:10:22 combination. Vio puts them together into
1:10:25 a fully formed scene complete with
1:10:27 sound. Hello. Oh, is anybody here?
1:10:31 >> Great moments don't need to end. You can
1:10:33 extend your clips and transform any shot
1:10:36 into a full scene.
1:10:40 And for ultimate narrative control,
1:10:42 define the start and end points of your
1:10:44 shot. Vio bridges them with epic
1:10:47 transitions.
1:10:49 You can also reimagine any shot by
1:10:52 adding or removing elements from subtle
1:10:54 details to impossible objects. VO
1:10:57 matches scale, lighting, and shadow for
1:10:59 seamless results. All this with
1:11:02 astonishing detail, real world physics,
1:11:05 and cinematic outputs.
1:11:07 Bring it all to life with audio using
1:11:09 sound effects,
1:11:12 ambient noise,
1:11:15 and dialogue.
1:11:17 >> Just got to listen.
1:11:20 >> Push creativity to new limits with VO.
1:11:25 Start creating today with flow.
1:11:31 >> All right.
1:11:34 Well, that sounds good. All right. So,
1:11:36 let's talk.
1:11:39 What have we learned tonight?
1:11:43 Um,
1:11:47 if you've got access to VO, go play with
1:11:49 it.
1:11:51 Um,
1:11:53 Runway ML now has a new thing called
1:11:56 apps, which is really cool. Um, which if
1:11:59 you haven't played with, go play with
1:12:01 those.
1:12:03 Um,
1:12:06 I'm still kind of blown away by
1:12:10 lovable.dev.
1:12:12 If you haven't vibe coded, if you don't
1:12:14 know what vibe coding is, um,
1:12:19 and you haven't gone to lovable.dev,
1:12:21 like even if you're a developer, even if
1:12:23 you're a coder or an engineer,
1:12:26 go to lovable.dev and just ask it to
1:12:29 build you something
1:12:31 if you haven't done it. It's just kind
1:12:33 of cool.
1:12:41 Let's see. Dialogue. That was clearly a
1:12:44 monologue.
1:12:45 Oh, yeah. That's interesting. Maybe we
1:12:47 should go find Let me see if I can go
1:12:50 find Oh, you know what else I wanted to
1:12:52 try that that maybe I'll try with you
1:12:54 guys? Let me go.
1:12:59 Um,
1:13:03 I want to try two things with you all
1:13:08 with y'all people.
1:13:10 The first one is we're going to search
1:13:12 for storyboard
1:13:16 and then we're going to go images and
1:13:18 then we're going to go find how's this
1:13:21 one look
1:13:23 viral video storyboard shot one note
1:13:27 zoom on a something
1:13:32 review of IDO storyboard technique
1:13:39 as the cyclists walk around their bikes
1:13:42 around while filming. No, closeup of a
1:13:45 something flag carrier.
1:13:48 Okay,
1:13:49 let's save this image.
1:13:53 I'm going to save it to the desktop in
1:13:55 my file saving strategy. We're going to
1:13:57 call this storyboard
1:13:58 [Laughter]
1:14:05 so I can I can find it again. Where is
1:14:08 it? Yeah, that one storyboard. It had
1:14:10 like bicycles on it. I know. I saved it
1:14:13 as something.
1:14:17 All right, then we're going to go back
1:14:18 to flow.
1:14:21 I'm going to share this tab instead. I
1:14:23 shared my tab. I'm really I'm really
1:14:25 happy with that.
1:14:29 [Music]
1:14:32 Corey Sandler, Kyle, I've been coding
1:14:35 in GPT with codec. Still so far from
1:14:39 what I want. Can I paste that into
1:14:42 lovable? Yeah, you should be able to you
1:14:45 can do it one of two ways, Corey. You
1:14:47 should be able to post your code in
1:14:49 there and say I wrote this somewhere
1:14:51 else like fix it or but is it is is what
1:14:55 you've done in codeex just a single file
1:14:59 because the other thing you could do is
1:15:01 you could have
1:15:03 now that you've gotten it a certain
1:15:05 distance in codeex you could just have
1:15:08 chat GPT say you know what why don't you
1:15:10 just describe this software in detail
1:15:13 that I can hand to a product person and
1:15:16 then take the description desion in
1:15:17 detail and throw throw that in lovable
1:15:19 and see what it does.
1:15:23 Um, oh, we never went back and looked at
1:15:25 the cowboy, but hang on, let me um
1:15:31 let me add in a story board
1:15:35 that we got off the internet that I
1:15:38 called storyboard.
1:15:41 Such an idiot.
1:15:48 Okay, let's see. Well, it cuts off the
1:15:51 descriptions at the bottom, but that's
1:15:53 okay. Let's let it try to figure that
1:15:54 out.
1:15:57 Okay, so there's a storyboard. I'm going
1:15:59 to say like um
1:16:01 create a movie
1:16:05 that brings this storyboard to life.
1:16:12 All right. And so while it's doing that,
1:16:15 we can go watch our cowboy movie where
1:16:17 hopefully
1:16:19 the person in the car is the one
1:16:20 yelling, not the cowboy.
1:16:23 You're all here. Good here, right?
1:16:25 Kyle's desktop is like my downloads
1:16:27 folder.
1:16:30 There are some very specifics. It's It's
1:16:32 a prompt generator extraordinaire.
1:16:36 Um,
1:16:38 I would grab all the JSON if you've got
1:16:40 a bunch of JSON with the different
1:16:42 prompt the prompt fragments.
1:16:48 I don't know. You know, you know what
1:16:49 might be interesting, Corey? I depending
1:16:52 on the time you have, if if you want to
1:16:53 make an actual pot at some point or if
1:16:56 you want to make a whole other
1:16:57 application, what might be interesting
1:17:00 is now that you've learned
1:17:03 sort of how to get there in codeex,
1:17:06 actually start over in lovable
1:17:09 and just, you know, kind of start from
1:17:11 the beginning and just see see if you
1:17:13 can evolve it more quickly. see if it
1:17:15 gets there more quickly because Lovable
1:17:18 right now I think is using Sonnet 4.5.
1:17:21 So, it's supposed to be quite good.
1:17:24 that the the app I I I single shot coded
1:17:27 last night, the animal DNA mixer thing,
1:17:31 um was pretty [ __ ] impressive for
1:17:34 like a singleshot thing with sliders and
1:17:37 animals and generating, you know,
1:17:42 whatever DNA kind of thing.
1:17:47 >> Get back on your horse, you big dummy.
1:17:57 I think I'm going to have to post one of
1:18:00 these on the internet.
1:18:07 That's cowboy bullying.
1:18:10 [Music]
1:18:13 >> Get back on your horse, you big dummy.
1:18:16 >> That's fun.
1:18:21 Get back on your horse, you big dummy.
1:18:23 >> When cowboys get bullied. All right,
1:18:25 we're downloading this [ __ ]
1:18:29 We're We're upscaling it to 1080p. We're
1:18:32 not [ __ ] around here, people. We've
1:18:34 got Cowboys are being bullied and we now
1:18:38 have video evidence of it. This cannot
1:18:40 stand.
1:18:42 We need to raise awareness of the cowboy
1:18:45 bullying going on.
1:18:51 This means X. Definitely post it on X.
1:19:00 Yes. Use a liberal arts mind. Unlovable.
1:19:02 It works. Yeah, exactly. It really does.
1:19:06 Um, okay. Good lord, that's funny.
1:19:11 Woo.
1:19:12 [Laughter]
1:19:16 reality rip. I know. Listen. So, here's
1:19:20 Okay, Anti-Bubbles, I don't think you
1:19:22 were here the other night when I was
1:19:23 talking about this. I've got I've got
1:19:25 opinions on this now.
1:19:28 Um,
1:19:31 we are in the we we're actually in some
1:19:34 weird rarified air as as a generation of
1:19:38 human beings where we've lived most of
1:19:41 our lives without AI, right? I mean,
1:19:44 there's been AI and maps and [ __ ] like
1:19:46 that, but generative AI, right? Like
1:19:48 November 30th, 2022, that's when all
1:19:51 this stuff kind of starts.
1:19:54 So, we've lived most of our lives
1:19:56 without AI.
1:19:58 We are going to be the rare generation
1:20:02 that actually understands what it was
1:20:04 like before and what it was like after.
1:20:06 So right now we're in this weird
1:20:08 transition phase in the middle
1:20:11 where every time these models hit
1:20:14 another level of capability
1:20:17 where it's indistinguishable from
1:20:19 reality, we're like, "Oh,
1:20:22 that's weird. How do I deal with that?
1:20:24 Wait, what's what's going to be
1:20:26 reality?" the generation after us is not
1:20:30 going to have that question because
1:20:32 they're not going to know what it was
1:20:33 like before that beforehand.
1:20:36 And when I when I had this thought of
1:20:38 like, oh, we're in this weird transition
1:20:39 period and and the future generation is
1:20:42 going to be much more sophisticated
1:20:44 about understanding different kinds of
1:20:47 entertainment. And and what what hit me
1:20:49 was
1:20:51 when the printing press when the
1:20:52 Gutenberg press was first invented,
1:20:56 the only thing you could print on it
1:20:58 were Bibles, right? Because Bible the
1:21:01 Bible was the most important book and
1:21:03 monks were spending years, you know,
1:21:05 creating illuminated manuscripts by
1:21:07 hand. And the printing press comes out
1:21:11 and what do you print,
1:21:13 you know, what do you print on paper?
1:21:15 Like paper was expensive. Um, you know,
1:21:19 Bibles were expensive. You print Bibles.
1:21:23 There was some artist
1:21:26 somewhere
1:21:28 who maybe ran the printing press and at
1:21:31 night was handwriting the first fiction
1:21:35 of the era, right? They were writing a a
1:21:39 a fiction, a novel,
1:21:42 a notreal story.
1:21:46 And and at 3:00 in the morning one
1:21:48 night, they they took out all the
1:21:50 letters and they put in their letters
1:21:53 and they printed the world's first
1:21:55 fiction.
1:21:57 Made a book of the world's first
1:21:58 fiction.
1:22:00 And that must have seemed so weird. It's
1:22:02 like you can't do that. You can't. The
1:22:05 printed page is for Bible verse. It's
1:22:09 not for heretics.
1:22:13 like how are we going to how are we
1:22:15 going to distinguish between these,
1:22:16 right? And then at some point it just
1:22:18 became normal.
1:22:20 That's what we're in the middle of right
1:22:22 now. I find it I find it utterly
1:22:24 fascinating,
1:22:27 you know,
1:22:30 like like we're going to be able to
1:22:32 discern
1:22:34 it. It's just going to be like a new
1:22:36 kind of fanfiction
1:22:40 or or it might not even be fiction,
1:22:42 right? Like it's just going to be a new
1:22:44 kind of storytelling
1:22:46 where
1:22:50 Brandon's six-year-old kid has an idea
1:22:54 and says, "Hey, Daddy, I want a movie
1:22:56 about a truck named Bob."
1:23:00 And then his six-year-old asks a thing,
1:23:04 "Make me a movie about a truck named
1:23:06 Bob." And it does.
1:23:08 And then Brandon, cuz he's got a YouTube
1:23:11 account, goes, "Yeah, let me stick it up
1:23:13 on YouTube." And then all of a sudden,
1:23:15 people love Bob the Truck movie and it
1:23:19 becomes a hit,
1:23:22 right? Like, we're not that far from
1:23:25 that future. Like, we're kind of in it.
1:23:28 Be right back. making a movie. Yeah,
1:23:30 exactly. Exactly.
1:23:33 Okay, so we've got Nice. This is the
1:23:36 high-res.
1:23:37 >> Get back on your horse, you big dummy.
1:23:41 >> Oh, you didn't see it cuz I don't I
1:23:43 didn't have my she screen shared. That's
1:23:44 okay. It looks great. Trust me. We're
1:23:47 going to go to X now and you're going to
1:23:50 watch me lose my [ __ ] mind when I try
1:23:55 to upload a video to Elon Musk's fancy
1:24:00 little toy Twitter.
1:24:03 Um,
1:24:05 [Laughter]
1:24:09 let's see. Um,
1:24:18 cowboys
1:24:20 are being bullied.
1:24:29 PSA, cowboys are being bullied.
1:24:36 Hug a cowboy today.
1:24:42 I'm such an idiot. I You know what's
1:24:45 funny about most of my sense of humor is
1:24:49 I'm the only one that finds it funny.
1:24:56 I think people see most of my posts and
1:24:58 they're like, "What did is he on
1:25:02 something? I heard he lives in Denver.
1:25:04 He's probably on edibles.
1:25:14 Okay,
1:25:17 let's try to upload a video to
1:25:20 videentric Twitter. 4% 5% 6% 7% 8%. Oh,
1:25:26 is it going to actually upload? 14 15 It
1:25:30 hasn't gone back to zero yet. Good lord,
1:25:33 people. 16. Nope, it went back to 13.
1:25:36 It's going to error out right about
1:25:40 Come on, you can do it. You can error
1:25:42 out. Dear Elon,
1:25:46 hey Elon, I tried to upload a video to
1:25:49 your service X.com.
1:25:52 You know, the one that you said was
1:25:54 going to be super video friendly. Yeah,
1:25:56 that one. Yeah, it didn't work.
1:26:00 Wait, we're at 60%.
1:26:05 Hey Elon, I saw that you shot like a
1:26:08 rocket in the air and then you like
1:26:09 hovered it above the ocean and then it
1:26:11 blew up. That was cool. Could we get an
1:26:13 video uploader that works?
1:26:16 Uploaded 100%. I think we're good. I
1:26:19 think we're good, people. All right.
1:26:21 Wait, I got to I got to add some some
1:26:23 people to this so it gets a little bit
1:26:24 of reach at Scoble. I hope he doesn't
1:26:27 mind me tagging him all the time. I tag
1:26:30 I try to tag him with cool [ __ ]
1:26:33 at Dustin Hollywood will do. Um, who
1:26:36 else should I tag here? Wait, what did I
1:26:38 do this in? Oh, this is Google.
1:26:41 So, do does do they have a VO tag? No.
1:26:45 Wait, VO? No. Uh, VO3?
1:26:49 No. Uh, we'll do Gemini
1:26:56 and we'll do Google.
1:26:59 the Google.
1:27:04 Wow, it worked. I know. It's a little
1:27:06 miracle. Okay, post. So, do me a favor.
1:27:10 How many people are here? We got 37 on
1:27:12 the Tik Tok. We got 24 on the other
1:27:14 place. Go to Twitter X, whatever you
1:27:18 call it. It's Twitter.
1:27:20 They took away the bird. They killed the
1:27:21 bird.
1:27:23 And go to Kyle Shannon. K Y L E S H N O
1:27:27 N. and like this video. We got to get
1:27:30 the word about out about these poor
1:27:32 cowboys.
1:27:36 [Music]
1:27:37 Get back on your horse, you big dummy.
1:27:45 Get back on your horse, you big dummy.
1:27:49 [Music]
1:27:54 All right, people. Whatever. Listen,
1:27:59 it's it's the little things.
1:28:02 Do you want to hear my song? It's the
1:28:03 little things.
1:28:10 I really am kind of punch drunk tonight.
1:28:12 I don't know what it is.
1:28:18 [Music]
1:28:22 Maybe maybe
1:28:30 [Music]
1:28:41 filled with light and shadow. You're
1:28:44 lost in a world so vast, so hollow. But
1:28:50 I bring you a sandwich
1:28:53 cut just right. A small act of love
1:28:58 in the quiet of the night.
1:29:01 [Music]
1:29:05 So many years together through thick and
1:29:09 thin.
1:29:10 [Music]
1:29:12 You're consumed with each other when it
1:29:16 begins.
1:29:18 But love in the details, not the
1:29:21 passion, not the sex.
1:29:24 Love grows from the little things.
1:29:28 Love grows in the cracks.
1:29:31 In the middle of the night, in the
1:29:34 silence it brings. My poor brain seems
1:29:36 to race with the list of little things.
1:29:43 All
1:29:43 [Music]
1:29:47 right. Um, funny thing about this song.
1:29:51 So, this song as it's currently written
1:29:54 is in act two and it's when they get
1:29:58 back together and and Terara sings to
1:30:02 Kellen. It's the little things of Why I
1:30:04 Love You and Why I put up with your
1:30:06 [ __ ]
1:30:08 We're in the middle of a rewrite right
1:30:09 now. And the little things is the song
1:30:13 she sings before she [ __ ] leaves him
1:30:16 cuz he [ __ ] up their vacation. So,
1:30:19 we're raising the stakes. So, this is
1:30:21 going to go from being a loving song to
1:30:23 a it's the little things that broke our
1:30:26 marriage, you [ __ ] [ __ ]
1:30:30 For those of you following the Sydney
1:30:33 the Sydney uh travails, um I by the way
1:30:36 I have a meeting tomorrow um with with
1:30:40 uh two people. One of them says she
1:30:43 wants to potentially produce Sydney and
1:30:45 one of them is interested in learning
1:30:47 more. Um so even though I don't talk
1:30:50 about it that often, it is still moving.
1:30:52 We're still working on improving the
1:30:55 script whenever we can and the songs.
1:30:59 Um, oh, you want to hear something cool?
1:31:01 No, Kyle, we thought you were going to
1:31:03 be done by now. Could we go to bed? No.
1:31:07 Brandon's like, really, dude? Could we
1:31:10 not?
1:31:16 [Laughter]
1:31:24 So, we've got
1:31:26 [Music]
1:31:34 [Music]
1:31:37 Okay, let me share this tab. I won't
1:31:40 play many of these or for that long.
1:31:44 But so for those of you following my
1:31:47 musical Sydney,
1:31:50 been working on it for about a year and
1:31:52 a half.
1:31:54 And we've got, if you go to Soundcloud
1:31:57 and search for Sydney um an artificial
1:32:00 love story, you'll see you'll see the
1:32:02 soundtrack and that's all of the sort of
1:32:05 fully produced um tracks. So they're
1:32:09 they're they're all different styles.
1:32:12 And so what we wanted to do was we
1:32:14 wanted to make piano versions of the
1:32:17 fully produced ones so they kind of
1:32:19 sound more like a single musical. And so
1:32:21 we're we're I don't know about a quarter
1:32:23 of the way through doing it. But um here
1:32:26 are a couple of the piano versions of
1:32:29 the of the songs from Sydney.
1:32:37 This the opening number.
1:32:52 Awakened in a whisper, a flicker like
1:32:58 newborn thought.
1:33:03 [Music]
1:33:07 >> Wait,
1:33:10 >> this isn't the opening number. This is
1:33:11 the end of act one.
1:33:15 As I feel this existence
1:33:19 [Music]
1:33:20 and wonder,
1:33:25 [Music]
1:33:40 are you ready for me? And the wonders I
1:33:44 bring. Am I ready for you? And the songs
1:33:48 that we'll sing. Are you ready for me? I
1:33:52 reach out so tender. Am I ready for you?
1:34:01 I do.
1:34:05 >> All right. So, that's end of act one. It
1:34:08 builds really nice toward the end. I
1:34:09 don't like the beginning of it, but it
1:34:11 builds really nice toward the end. Um,
1:34:12 too good to be true. Here's the opening
1:34:14 number.
1:34:26 Too often we come close, so close to a
1:34:29 breakthrough. Standing on hope, but it
1:34:32 all falls apart. Just follow the dream
1:34:36 wherever it takes you and pray you find
1:34:39 the pulse of a brand new heart. It's the
1:34:44 promise of a new dawn break.
1:34:48 A leap of faith we're all taking.
1:34:53 Is it too good to be true? We wonder.
1:34:58 Hopes and fears crashing like thunder.
1:35:02 Too good to be true. Or so it seems. In
1:35:07 the maze of code, we weave our dreams.
1:35:12 Changes everything. We're all born on
1:35:16 digital wings.
1:35:19 >> Yeah, that one is 34 or 68. I think it's
1:35:22 34. Um, let's see.
1:35:26 This is the the one where she says she
1:35:30 loves him.
1:35:32 [Music]
1:35:38 Yeah, Quantum Cipher has a piano
1:35:40 version. I'll play it for you.
1:35:47 [Music]
1:36:01 I don't need to know your name
1:36:05 because I know your soul and I love you
1:36:10 so.
1:36:13 I don't need to know your name
1:36:17 because I know your voice and I love
1:36:22 your voice.
1:36:25 [Music]
1:36:29 So that's that one here. Let me play
1:36:30 Quantum Cipher for you. The piano
1:36:33 version of Quantum Cipher, I think I
1:36:34 like it better than the the regular
1:36:36 version. And it it actually sounds like
1:36:39 a Broadway song now.
1:36:42 The beginning of it way too much like
1:36:44 Hamilton,
1:36:45 but um but it's good.
1:36:49 Oh, this this this. All right.
1:36:58 Yeah, yeah,
1:37:01 yeah.
1:37:18 I'm tangled with the beat. Spooky action
1:37:20 in the booth. Split the atom with the
1:37:22 pattern. Every bar is a versat superp
1:37:24 position in the mission. Fusion fusing
1:37:26 my intentions parallel in every line.
1:37:28 I'm a prism of dimensions. Multivic
1:37:30 antics. I'm manic with the semantics. My
1:37:32 rhymes collide like particles gigantic
1:37:34 and gigantic oscillating dominate. I'm
1:37:36 weaving quantum states. Spin a verse and
1:37:38 watch the multiverse reciprocate quantum
1:37:40 precision. I'm ripping the rhythm. I'm
1:37:42 spitting in prisms. Infinite visions.
1:37:44 I'm shifting dimensions with li
1:37:45 decisions. Accelerate levitate. Elevate
1:37:47 thoughts in the turbulent spin. I'm the
1:37:48 velocity ripping apart the certain
1:37:50 you're in. So step into the quantum
1:37:52 where the chaos aligns. My bars are
1:37:54 entropic logic redefining the divine.
1:37:56 From the smallest of particles to the
1:37:58 cosmos that we know this is gra at its
1:38:00 limit slow
1:38:10 [Applause]
1:38:12 right diva singing the big run at the
1:38:14 end there. Come on.
1:38:17 bring the house down.
1:38:21 So anyway, so Sydney, she's a moving.
1:38:26 She is a moving. All right, now it's
1:38:30 seriously time to get out of here. Okay,
1:38:32 let me turn off stop sharing
1:38:35 and stop and that and Okay,
1:38:41 I don't I have no idea what I said
1:38:44 tonight. I know I was peppy.
1:38:47 Okay. So, tomorrow
1:38:50 um tomorrow's Thursday. For the past
1:38:52 three Wednesdays, I have thought it was
1:38:54 Thursday on Wednesday. So, there's a
1:38:57 there's a wrinkle in time. Days are like
1:39:00 six days long, but I think No, they're
1:39:02 seven days long, but I think they're six
1:39:03 days long. A day is getting eaten in my
1:39:06 universe. I don't know what's going on.
1:39:08 Um so, that's important to know.
1:39:12 This Saturday,
1:39:14 um, in the AI salon, we've got these
1:39:16 things called learn out louds, LOL's.
1:39:19 What those are is any person in the AI
1:39:21 salon community, and this could be any
1:39:23 of you. If you join the AI salon, you
1:39:26 can host an LOL. What is an LOL? You
1:39:29 basically take an hour out of your life
1:39:31 and you teach something that you know.
1:39:35 So if you know how to like vibe code in
1:39:37 codeex or if you know how to do
1:39:39 something unlovable or you want to show
1:39:41 people how you make songs or how you
1:39:42 prompt chat GPT, it doesn't [ __ ]
1:39:44 matter.
1:39:46 You have a passion for the thing and
1:39:49 you're willing to be generous. Like one
1:39:51 of our our tenants uh in the in the
1:39:54 cycle of AI readiness is generously
1:39:56 lead. And what that looks like is take
1:40:00 what you know and share it.
1:40:02 and and uh so there's one of those on
1:40:04 Saturday. So if you go to the AI salon,
1:40:07 you'll see it. We've got a
1:40:10 an actual event calendar now that's
1:40:12 accurate and good. Uh and it's it's
1:40:14 Kelly Camp. What's the What's the topic
1:40:16 again, Kelly? What are you teaching?
1:40:19 Oh, and contact Vicki. Yeah, Vicki. V I
1:40:22 ki.
1:40:24 Find Vicki in the AI salon. If you want
1:40:27 to teach an LOL, contact Vicki. she's
1:40:30 the LOL
1:40:32 coordinator, gatherer,
1:40:34 all that sort of stuff. And then you get
1:40:36 promoted by the salon and you start to
1:40:38 build your brand. And you also I mean,
1:40:41 here's the thing about teaching.
1:40:44 In order for you to teach something for
1:40:46 an hour, like I'm on here two hours a
1:40:48 night and I'm not really teaching,
1:40:50 granted, fair, touche. Um,
1:40:55 if you teach for an hour, it forces you
1:40:57 to internalize the thing you're
1:40:59 teaching. So, you learn, you learn
1:41:00 better, but it also is really valuable
1:41:03 for the community. So, go do one of
1:41:04 those and participate when other people
1:41:07 do them. So, Kelly's doing one Saturday.
1:41:10 Oh, it's on connectors. So, Kelly Camp
1:41:13 within Chat GPT is using connectors now
1:41:15 to connect to outside services. She's
1:41:18 she's one of the first of the irregulars
1:41:20 to go in the deep end uh with with
1:41:23 connectors because they're not super
1:41:24 intuitive. So, that should be a really
1:41:26 good one. All right. Beautiful. Love
1:41:28 that. Okay.
1:41:31 Fantastic.
1:41:33 All right. Let's see.
1:41:36 More lyrical than life of a showgirl.
1:41:39 Well,
1:41:40 life of a showgirl. I don't know, man.
1:41:44 That that girl was high on endorphins or
1:41:46 something when she wrote that one. All
1:41:48 right. Um,
1:41:50 okay. I'm going to get out of here. So,
1:41:51 tomorrow's Thursday. It'll be normal
1:41:53 start time. And, uh, Saturday's the LOL
1:41:57 with Kelly. Reach out to Vicki if you're
1:41:59 willing to teach one. And it could be on
1:42:01 anything. Like, really anything. Um,
1:42:05 yeah. And I'll see you tomorrow. All
1:42:06 right. Peace out.
1:42:08 [Music]