Aug 1, 2024 - Unleashing Creativity: How AI is Revolutionizing Art and Business**

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Chapters

Transcript

0:01 [Music]
0:05 oh
0:17 [Music]
0:37 10 10 million more in books WR beneath
0:42 my
0:46 bed I WR R them long when searching in
0:50 the swan still can't find how to hold my
0:54 [Music]
0:58 hand and I know you need
1:01 you need me in the next room over I am
1:05 stuck in here on
1:08 [Music]
1:11 paralyzed four months I got myself in R
1:14 too much time spin mirrors framed in
1:18 yellow
1:19 [Music]
1:23 walls a it
1:25 [Music]
1:26 people I don't
1:30 [Music]
1:34 a like most people I'm no different like
1:38 talk on things we don't know
1:41 [Music]
1:50 [Applause]
1:51 [Music]
1:56 about champy is a good doggy
2:01 that's a good doggy that's a good doggy
2:03 that's a good doggy that's a good
2:05 singing dog
2:08 [Music]
3:00 Let's see we got Amelio's wife we got
3:02 joy pie got
3:06 [Music]
3:07 Joker Silver Fox in the
3:10 house Zachary Poncho what's happening
3:13 Poncho we hurt New York City I hurt New
3:16 York City I [ __ ] miss New York
3:19 City I miss my New York although it's
3:22 like you know 98 and humid there right
3:25 now so I don't miss that I miss the
3:27 smell of urine in the morning smells
3:30 like
3:31 [Music]
3:36 Factory the smell in the Subways in the
3:40 summer is not a forgettable
3:42 [Music]
3:44 [Applause]
3:48 smell Tobias in the House Brandon waking
3:52 up Ethan join
3:58 [Music]
4:14 standing
4:16 between you in a hard place is
4:22 insane standing too
4:25 near you and a fire makes it clear
4:32 you're trouble to
4:37 me Rich rouble can't you
4:41 [Music]
4:43 say leaning in
4:46 close smell of your perfume scares me
4:50 [Music]
4:52 most leaning away
4:55 hey feel stronger every day
5:02 real trouble to
5:08 me real trouble can you say I think I'm
5:13 going to take that
5:15 song and we're going to remix it we're
5:17 going to do some udio
5:19 remixing I'm still not comfortable with
5:22 udio I'm going
5:24 Studio some would say it's the root of
5:27 the word is audio I'm thinking the root
5:29 of the word is Studio
5:31 they named their company some stupid
5:32 [ __ ] word you can pronounce two
5:34 different ways tomato
5:36 tomato is it gif is it
5:40 gif you don't pronounce it like the
5:42 peanut butter there's right ways and
5:44 there's wrong ways people you can have
5:46 your opinions just accept the fact that
5:48 you're wrong it's
5:52 yudo I actually think I'm wrong on this
5:55 one but I but you
5:58 know udio
6:00 udio sounds like I I'm in a a speech
6:04 Rehabilitation class
6:07 okay
6:08 udio no let's get your dip thongs in
6:12 there people
6:18 [Music]
6:36 three M storage is in the
6:47 house you know you can make money with
6:50 ch you know how you make money with cha
6:53 te you open a storage business and you
6:56 reach out to Jim Ross and you have him
6:58 tell tell you his sec secrets about how
7:01 he uses chat jpt to kick the [ __ ] out of
7:04 his business you can make money with ch
7:06 JP it ain't about chat J P it's about
7:10 what you do with it it's about the
7:12 problems you're solving
7:16 people Silver Fox thank you I'm from
7:19 yudo but I'm from New England so I could
7:22 be Wicked
7:24 wrong I just think udio sounds like udio
7:29 hey hey udio sounds like Brooklyn hey
7:32 Kyle you see that new music thing udio
7:37 hey no we live in a civilized society
7:42 [Music]
7:46 here I he saying Brooklyn isn't
7:49 civilized well that's very
7:53 rude I don't know why my offended New
7:55 Yorker just moved to the Midwest but you
7:57 know
8:11 oh that guy wait
8:13 [Music]
8:41 [Music]
8:58 I could play that little lick that's
9:00 just a little lick that
9:02 I have played over the years I don't
9:05 think it's part of
9:08 anything wait
9:12 [Music]
9:39 [Applause]
9:43 [Music]
9:49 wait it would be nice if I had actual
9:51 talents and
9:53 skills udio sounds like Odio which is
9:57 Spanish for hate good C Papa JJ yes th
10:00 this is good we've got Multicultural
10:02 support for udio if you call it udio
10:06 someone's going to say this is hate
10:08 music good like it Papa JJ thank you
10:12 thank you anyone else can come up with
10:14 any stupid reason why we can prove the
10:16 udio people wrong to be much
10:20 appreciated I can't be expected to to
10:23 just take the burden of word
10:25 pronouncement on my own shoulders here I
10:28 need help people
10:37 I'm drinking a lovely iced tea this
10:39 evening all all the ice melted because
10:41 you know it's hot here and I poured hot
10:44 tea over
10:44 [Laughter]
10:48 ice all right welcome everybody my
10:51 name's Kyle Shannon this is the AI
10:52 learning lab you know what we do here we
10:54 learn we lab we lab around this is the
10:57 lab
11:00 not a lot of not a lot of
11:01 experimentation going on in this
11:03 particular
11:05 lab so now it's just T it is just
11:10 T great name whoever just came in with
11:13 what the [ __ ] is going on here love the
11:17 [Music]
11:26 name we can only type it out so many
11:30 ways to pronounce it for
11:35 you I'm still going with Studio not
11:38 [Laughter]
11:40 audio and wait if you went with audio it
11:43 wouldn't be udio either it would be
11:47 audio I don't know man it's got to be
11:52 udio I'm going to I'm going to reach out
11:54 to people this is not this is not going
11:56 to stand I'm going to we're going to get
11:57 the official pronunciation here here's
11:59 the deal I will go get the official
12:01 pronunciation and here's what I will
12:03 promise
12:04 you if the official pronunciation is
12:09 udio I will trumpet it from the highest
12:13 Cliffs if the official pronunciation is
12:16 udio I will never [ __ ] tell you that
12:19 and I will keep pronouncing it udio all
12:21 right so I make that promise to you
12:23 because kind of man I
12:28 am and
12:36 yeah all
12:43 right oh by the way not for
12:47 nothing this is exciting for me
12:52 anyway this is one of those it doesn't
12:55 [ __ ] matter to to most people I got
12:57 into the private Alpha
13:00 of the
13:01 showrunner um TV production the thing
13:05 that makes the South Park episodes I got
13:07 into the private alpha or the yeah the
13:09 private Alpha I can't I asked if I could
13:13 show it on here I
13:18 can't but I was also I also so I got on
13:21 the call there was a call welcoming the
13:23 new
13:25 people and the guy Edward who who runs
13:28 the joint he's like I want to meet
13:30 everyone there were like 60 people on
13:32 the call so the first half hour was
13:34 introductions and then I had to get on
13:36 another call so I have no idea what the
13:38 [ __ ] they said but I signed up for it so
13:40 anyway I'll be telling you if that
13:42 thing's cool or
13:44 [Music]
13:54 not that's got to be annoying to you
13:56 listening sorry about that there's a
13:59 there
14:00 there's sometimes this Channel's like
14:02 ASMR and sometimes it's like ah honey
14:04 could you put the kids to bed
14:07 [Music]
14:12 please
14:15 um I saw a tweet today that I thought
14:17 was kind of
14:20 interesting well a couple of them one is
14:22 I've been a little cranky about Tik Tok
14:24 where just like engagement is down
14:26 overall so it's kind of dissuaded me
14:28 from making content
14:30 I mean I still do these things cuz y'all
14:32 are [ __ ] awesome
14:35 um but someone made a really good point
14:38 that um NBC has probably bought up you
14:42 know a third of your 4u page for the
14:45 Olympics and then the other third is
14:48 probably paid political advertising
14:51 right for all the [ __ ] [ __ ] we see
14:54 because of the presidential election so
14:56 we're probably down to about a third of
14:58 our time oh oh and then a third yeah so
15:00 you got a third Olympics a third is uh
15:04 political stuff and then a third is
15:06 [ __ ] Madagascar vanilla beans so so
15:10 what's left there's like there's like
15:12 two slots left in any hourlong Tik Tock
15:15 scroll that are your actual content so I
15:18 guess I'll just chill out and shut the
15:20 [ __ ]
15:22 up ah oops auto click 10,000 Hearts I
15:26 didn't know you could you can auto click
15:28 10,000 hearts
15:30 good Lord I'm a trusted tester on a
15:33 company's text to image and on the text
15:36 to video weight list oh cool oh that was
15:39 it's funny Joker that that you say that
15:42 because that was the other tweet that I
15:43 thought was really interesting I saw
15:45 today was it it was one of those
15:47 hypotheticals where it's like okay so
15:49 you're paying for a
15:51 Runway so so you make images with Runway
15:55 using mid Journey images and you make
15:57 images with cling using mid Journey
15:59 images and you make or you make videos
16:01 you make videos with Runway using mid
16:04 Journey images and you make videos with
16:06 cing using mid-journey images right so
16:08 making this argument you're like the
16:10 common denominator here is mid-journey
16:11 images and basically what he said was I
16:14 think it was Nick St Pierre who who
16:15 might be a creative director there he's
16:17 somehow connected with them but he
16:19 basically said when mid Journey comes
16:22 out with image to video are you going to
16:24 keep subscribed to all that other [ __ ]
16:27 cuz you know mid Journey's video is
16:29 going to be [ __ ] kick ass it going to
16:33 be crazy it going to be crazy
16:36 people
16:38 so cucko it's
16:43 cagus all right what are we going to do
16:46 tonight I got a drink so I was at a
16:47 little CEO Suare
16:50 tonight more and more people are talking
16:52 openly about AI which is
16:57 interesting before they like you do AI
17:00 yeah that's that's fascinating yeah yeah
17:03 as soon as you said political a learn
17:05 more about us elections popped up on the
17:06 screen [ __ ] Christ I just you
17:11 know I AI swell except when it's used
17:16 for stupid [ __ ] like that left Arrow
17:18 challenge make a left arrow in Dolly 3
17:22 okay all right I on China
17:26 fine challenge me that I can't make a
17:29 left arrow in [ __ ] chat JP dude you
17:34 how dare you
17:35 sir all right okay let's see now that I
17:40 know it's a challenge I know I know
17:41 there's something [ __ ] up about it so
17:43 we're going to assume that ion shine is
17:45 right haha nobody can do it Kyle it's a
17:51 trap okay
17:54 um you are
17:57 a street
18:04 sign
18:07 designer and I want
18:11 you to
18:14 make a
18:17 series
18:19 of green
18:22 signs
18:24 with white I found this on the hey Siri
18:28 uh go away
18:32 okay what is she doing why does Siri
18:35 show up make a series of green
18:39 signs with white
18:43 arrows rep
18:46 resenting north south east and
18:52 west okay I think I got it
19:00 please make one image
19:05 for each
19:12 Direction all
19:14 right I'm guessing this is going to be
19:17 [Laughter]
19:20 North did it do
19:22 it oh well that's
19:26 bad that's not North that's
19:29 confusing that's
19:39 s okay
19:43 point point the West
19:49 Arrow the other
19:53 direction oh boy yeah this is this is
19:58 janky is is janky does embrace the Jank
20:01 embrace the
20:04 Jank West
20:06 [Laughter]
20:11 corrected the arrow on the
20:17 sign should
20:20 point the
20:23 opposite
20:24 of right
20:27 [Laughter]
20:36 oh I did it look I did
20:52 it duh did
20:55 it could why you know how I did it it
20:59 cuz I'm a [ __ ] Super
21:01 Genius look at that it's completely
21:04 pointing left he said it couldn't make a
21:06 arrow go into the left thanks to Kyle
21:09 and Irregulars for making chat GPD
21:11 easier you're welcome ocean thank you
21:13 for um um thank you for the
21:16 acknowledgement uh we haven't done chat
21:18 GPT in a while
21:20 but I I have completely solved the left
21:23 Arrow
21:25 dilemma with uh
21:29 ugly man sees
21:32 23,700 I see
21:36 9,000 I don't know how this [ __ ]
21:40 Works got 36,000
21:44 followers I don't
21:46 know well
21:50 whatever now here's the thing none of
21:52 them were why why can it not mid Journey
21:55 also
21:59 why can they not make left arrows that
22:01 doesn't make any [ __ ] sense at
22:03 all are there no left arrows in in the
22:07 image Zeitgeist let's let's go to Google
22:10 here this there's a way we can test this
22:12 we're going to go to Google we're going
22:13 to type in
22:15 left
22:18 Arrow
22:23 sign yeah
22:25 there's there's plenty of left arrows in
22:28 the in the data
22:31 set what the [ __ ] is with
22:35 that I don't believe I can't believe mid
22:38 Journey can't do this
22:55 um a road that Forks
23:00 just
23:02 ahead and in the
23:06 center of the
23:09 Y are two
23:15 signs one with an arrow pointing right
23:19 and one with an arrow pointing left
23:22 period the signs are green and the
23:25 arrows on the sign are
23:27 white and
23:29 and there is a large
23:34 semi
23:37 truck in the distance on the right
23:42 Road and there was a new electric
23:45 Volkswagen
23:47 bus heading toward the camera on the
23:50 left Road
23:54 period all
23:56 right let's see what we got there ugly
23:58 man just did it ah but it gave me a
24:01 downloadable file I even asked for a
24:04 mirror image but got it got it going the
24:06 other way I got left arrows on Mid
24:12 Journey this is
24:15 stupid I got it in one try archetypal
24:18 architect show
24:22 off see I just cheat I just cheat I'm
24:25 good at like oh it doesn't do it [ __ ] it
24:27 take it to photoshop
24:30 this is here there's a lesson here
24:31 people you don't always have to use AI
24:34 if AI is sucking don't use
24:41 it why is mid Journey so slow
24:50 tonight semi-truck you mean aor I got a
24:54 left Arrow
24:59 a take that you people you with your
25:03 conspiracy
25:09 theories and look what I look what else
25:11 I
25:12 got left Arrow left Arrow right arrow
25:17 down arrow I've got all of the arrows in
25:19 one
25:23 sign oh man I need more tape my tape on
25:27 the back of my little blackout
25:31 augmentation here is not good all
25:35 right go to Irregulars okay let me go to
25:38 Irregulars let me see what's going on in
25:40 Irregulars Irregulars hello Irregulars
25:44 what's happening people hey there what's
25:47 happening all right arrow sign pointing
25:50 to the
25:51 left arrow on street sign pointing to
25:54 the left chaos 100 Dr J nailed it
25:59 archetypal architect boom three out of
26:04 four with one just ascending to Heaven I
26:07 love that
26:10 look
26:11 H I had some sort of
26:14 Greek Feast at the uh this dinner I was
26:19 at tonight and I ate too much so I got
26:23 hiccups so you're going to have to deal
26:24 with that it's just it's not going to be
26:26 good who did this steo nail in the left
26:29 Arrow there we go look at that joker
26:34 boom summer Subway
26:38 smell the smell you won't forget that's
26:41 pretty good I like
26:43 it reservation Kyle Shannon 900m oh
26:46 that's nice who did that Amelio's wife
26:48 that's very sweet very sweet all right
26:53 oh that's nice oh that's a good one
26:56 Joker I dig it
27:01 okay let's what do we want to do I used
27:05 a very complicated prompt a left
27:10 Arrow that's the thing this was the
27:12 thing that HT snow snowday figured out
27:16 is that
27:19 um the the people who didn't know how to
27:23 program computers did better with large
27:26 language models in a in a a a AI game
27:32 creation contest the people that didn't
27:34 know anything about building software
27:37 did better than the people that knew how
27:38 to build software which is
27:43 fascinating because the people who
27:45 didn't know how to build software s chat
27:48 GPT or Claude make me a game that does X
27:51 and the people that did know how to
27:53 software tried to describe the
27:55 functionality of the objects on screen
27:59 similar to how they would program them
28:02 and it confused the [ __ ] out of the
28:03 large language model I think that's
28:05 absolutely fascinating and and what that
28:08 what that points to to me is we're
28:10 moving into an era where everything's
28:14 going to get all Topsy Turvy every like
28:16 where the P where the centers of Power
28:18 are now because people have specialty
28:22 skills are going to be upended where
28:25 people who have generalist skills are
28:26 going to be better at these large
28:28 language models than the Specialists
28:30 it's going to be wild it's going to be
28:32 wild wild wild wild wild but it almost
28:35 never works in GPT using Dolly 3 that's
28:37 just absolutely bizarre developers
28:39 probably tried to make it do sequential
28:41 steps exactly Joy pie they the the
28:44 programmers had the burden of knowing
28:47 how to
28:48 program the project managers and the
28:51 customer service reps were free of the
28:53 burden of
28:55 knowledge and so they just said make me
28:58 game that does
29:01 this and and it
29:03 did tried to log into hey Jen but it
29:06 kept giving me network eror error
29:08 messages anyone have the same thing H
29:11 yen.com let me go
29:15 check H
29:21 yen.com that's there for me
29:33 hi there my name is Jennifer I'm in my
29:36 mid-30s you really are I work as a
29:38 marketing manager for a tech company and
29:40 I absolutely love my job do you it keeps
29:43 me on my toes and allows me to be
29:44 creative every day is this authentic but
29:47 today you talk about something a bit
29:49 more personal my journey with bipolar
29:51 disorder when I was first diagnosed with
29:53 bipolar disorder that was a test I was
29:55 working on for old Story vine for some
29:58 Persona
30:00 action crazy crazy [ __ ]
30:03 coming
30:06 um all right what are we going to talk
30:08 about tonight what do you think the
30:10 biggest opportunity in AI will be moving
30:14 forward
30:17 H I just made that face that sketch
30:23 makes Hey Brother Hey Brother
30:30 [Laughter]
30:33 uh Hey
30:38 Brother um what do I think is going to
30:41 be the biggest opportunity AI
30:45 presents holy
30:49 [ __ ]
30:51 okay
30:56 well there's there's a couple of
30:58 different
31:00 Lanes there's a lane where you're a
31:03 software
31:05 developer
31:07 and the opportunity is in creating some
31:10 novel piece of software that mixes and
31:14 matches AI functionality in a unique and
31:18 interesting way that's one
31:21 lane there's another
31:27 Lane which is is
31:29 the clever application of generative AI
31:34 to completely
31:36 disrupt an
31:41 industry I think the software
31:44 Lane is probably the most the more
31:47 exciting
31:49 one but it's the one that's got the
31:51 highest
31:53 risk because the software one if you
31:56 build a piece of software
31:59 using open ai's API for example you run
32:04 the very real risk that open AI will
32:07 just turn your software into a feature
32:10 or these models are going to get so
32:13 capable that whatever your software is
32:15 someone else can just replicate it like
32:17 that we're not there yet but you know
32:19 give it three years so there's a there's
32:21 a risk right if it takes you a year and
32:23 a half to spin up a software company You
32:26 could argue you could do it faster but
32:28 let's just say you want to actually get
32:31 customers I think you I think there's a
32:34 bigger risk
32:36 there on the on the disrupt how an
32:40 industry
32:41 Works believe it or not Jim Ross is kind
32:45 of heading down that lane where he's
32:51 not there's nothing that Jim is doing
33:07 I'm just trying to be careful with my
33:08 words there there are things that are
33:10 Jim that Jim's doing that that
33:12 are innovating but he he's still
33:15 basically teaching people how to
33:18 manage storage
33:21 facilities right and how you manage a
33:24 storage facility is largely physical
33:26 right there's there's leases and there's
33:29 payments and there's there's all the
33:30 money stuff and and there's there's
33:32 going to be some um some Innovations
33:36 in a lot of the the operations piece of
33:39 it but where Jim is innovating is Jim is
33:42 innovating with things like marketing
33:45 and customer acquisition and um creating
33:49 content and creating testimonials and
33:51 create just doing things like
33:55 like Jim is essentially turning from
33:59 from a
34:01 person that can because he's
34:04 productive Jim has the output of 1.5
34:09 normal humans right just without any
34:11 special tools and with AI Jim's got the
34:14 output of like 10
34:16 humans and because he's doing it
34:19 consistently and he shows up every
34:20 morning and he's like I'm going to put
34:21 in an hour every single morning using AI
34:25 to benefit my business he doesn't know
34:27 what that looks like like each morning
34:29 but he's just doing that like he brushes
34:31 his [ __ ] teeth he puts in the hour of
34:34 AI and so he's he's innovating
34:40 by
34:49 injecting like a completely new way of
34:51 thinking about what's possible for how
34:55 you Market a business
34:58 and so he's in the Self Storage business
35:00 so he's going to kill it there but like
35:01 every single micro business every single
35:05 sector every single micro business
35:08 someone's going to be able to come into
35:09 that sector that really understands it
35:12 and if they come in and they're the
35:13 first one to embrace AI they're going to
35:16 figure out all sorts of [ __ ] to do there
35:18 where the competition's going to be
35:20 looking at them like how the [ __ ] are
35:22 they doing that I what's
35:26 happening so so for me I it's like the
35:30 applied you the creative application of
35:34 AI tools to a business you know really
35:37 well or a category you know really well
35:40 I feel like that's where the biggest
35:42 opportunity
35:43 is because the tech space is going to be
35:47 full of competition right all the
35:49 engineers want to create the next open
35:50 AI or the next perplexity or the next
35:53 mid Journey right there's all sorts of
35:55 competition over here there's you
35:59 know 10 million
36:02 more non-sexy businesses out
36:05 there that are just waiting to be
36:09 reinvented so I think I think there's
36:11 massive opportunity in in practical
36:15 application of AI on how a business does
36:19 what it
36:21 does some of that may include software
36:24 you may make some software you may make
36:26 gpts whatever
36:28 so I don't
36:32 know I think there's all sorts of
36:34 support um Technologies where there
36:37 there could be um like one we talked
36:41 about the other night was licensing
36:45 likenesses so who's going to be the
36:48 William Morris if you don't know William
36:49 Morris they're like the you know
36:52 creative artist agency CA the big
36:55 Hollywood talent agencies
36:59 have an opportunity right now to
37:02 dramatically
37:04 alter what talent representation
37:09 means right now like what what CAA
37:12 innovated with with David
37:15 Ovitz was a thing called
37:18 packaging and packaging
37:20 was we've got a bunch of clients we've
37:22 got actor clients and we've got
37:24 cinematographer clients and we've got
37:26 director clients and we got producer
37:27 clients
37:29 and one of our actor clients happens to
37:31 be Tom
37:33 Cruz oh you want Tom Cruz in your movie
37:37 well okay great awesome not only will
37:39 that be $50
37:41 million but you also have to use this
37:44 director this cinematographer and these
37:46 three producers or you don't get Tommy
37:50 Boy so that that Innovation happened in
37:53 the late 80s and early
37:55 90s and it changed Hollywood
37:59 There's an opportunity right now in my
38:02 opinion to not sign the Tom crues of the
38:06 world but to sign the Kyle Shannon of
38:09 the world and the Jim Rosses of the
38:10 world and
38:13 the Bob Smiths of the world like just
38:18 anyone
38:22 because we're going to need to start
38:24 getting compensated for our likenesses
38:28 because they're going to be so easy
38:31 to replicate
38:33 and if someone likes what I do here on
38:35 the Tik Tock or if someone likes what
38:38 you did on a zoom call at work they can
38:40 turn that into a video Avatar and put
38:42 out in the world and make money off it
38:45 and you'll never see a penny of it
38:48 unless maybe you were signed by
38:53 caa's low-level Talent division
38:59 the digital twin division taught my son
39:02 to create mid-journey images for Google
39:04 business profile updates Biz idea for
39:06 something shoot I missed the end of that
39:10 oh Biz idea for 16-year-old there you go
39:13 create mid-journey image oh oh that's
39:15 perfect Jim Ross has a 16-year-old kid
39:18 kid's like I don't know what to do Dad
39:20 should I go mod La he's like no you know
39:22 what you should do here's mid Journey
39:24 here's my
39:26 license go find local businesses and
39:29 make them images for their Google
39:31 profiles and charge them whatever 20
39:34 bucks a piece 25 bucks a piece 50 bucks
39:36 a piece whatever it might
39:39 be oh I could do that yeah you could do
39:42 that so yeah exactly so so like little
39:47 like that the big the big opportunity
39:50 feels like little
39:52 Innovations or use it to learn and
39:54 disrupt something that you don't know
39:56 yeah that that's another way to do it
40:00 that someone's going to come
40:03 into a profession like accounting well
40:07 let's let's not do accounting because
40:08 they've got there's all sorts of
40:09 regulations there someone's going to
40:11 come into I don't
40:14 know a
40:17 marketing
40:21 area and they're going to use chat
40:25 GPT and some of these other tools to
40:27 come up with with some entirely new way
40:29 of marketing
40:32 something not because they were a
40:36 marketer but because they were a
40:41 janitor but they got curious about
40:43 marketing one night and they learned
40:45 about it and they thought huh and the
40:47 way they think about the world is
40:49 through the lens of 30 years of janitor
40:53 brain and so how they're going to do
40:56 marketing
40:58 will very likely seem
41:00 foreign and
41:02 bizarre to 30 years of marketing brain
41:05 you got janitor brain here marketing
41:08 brain here so marketing brain's going to
41:11 look at Ai and they're going to go I
41:12 know how to use AI for marketing and
41:14 they're going to filter it through their
41:15 marketing brain and then over here
41:18 janitor
41:20 guy is going to be like I'm looking
41:22 through Mark you know through learning
41:24 about marketing through this brain and
41:26 they're going to do something completely
41:28 off thewall and
41:29 weird and marketing guys are going to
41:31 make fun of janitor guy that's a that's
41:35 the dumbest thing I've ever seen I got
41:37 30 years in the business uh trust me I
41:39 know what I'm doing with this marketing
41:40 stuff and before you know it janitor
41:43 guys going to have one of the most
41:45 popular campaigns in all of the
41:47 land and everyone's going to be going to
41:49 janitor guys agency going could you do
41:51 marketing for us that's
41:54 [Laughter]
41:56 awesome so the cross-pollination of of
42:03 disciplines where people that have 30
42:05 years of experience in one thing are
42:07 literally just going to jump entire
42:09 professions like parallel ones or like
42:12 really tangential ones I think that's a
42:15 big opportunity I don't know man [ __ ]
42:19 cool at what point do actual likenesses
42:23 not mean
42:24 anything yeah that's another Point old
42:27 oak design
42:28 so I I here's the
42:31 thing it's a really good point the
42:34 actors went on strike a year ago because
42:37 they were like hey producers don't you
42:40 know what producers wanted to do was
42:43 they wanted to hire
42:45 actors that would come
42:48 in and they would pay them a day rate of
42:54 $200 and they would film them like 360
42:57 and then they would pay them
42:58 $200 and then the producers wanted to
43:01 own that likeness for all of eternity
43:05 for all uses in the
43:07 universe and this was one of the things
43:09 they struck over and when they were
43:11 striking over it what went immediately
43:15 through my head is what you just asked
43:16 which is okay well at least in the
43:19 producers proposal some amount of people
43:22 get $200 because you know a year or two
43:26 from now not even a year or two from now
43:28 mid Journey right now can make people
43:31 that don't exist at all that are
43:34 absolutely fine to turn into an avatar
43:36 right and
43:38 and we saw yesterday we were playing
43:41 with the or we were watching videos of
43:43 the new realtime voice model from chat
43:46 GPT you're going to be able to
43:49 take a hyper realistic perfect
43:53 casting person that doesn't exist and
43:56 have them talk words in
44:00 video as if it were an actor and so no
44:02 actor will be hired for that particular
44:04 role so it's a it's a really good
44:07 point but what's what's a fascinating
44:10 thing is that
44:12 [Music]
44:13 any
44:15 musician
44:17 actor P TV personality wrestler right
44:21 any anyone in the sort of cultural
44:24 Zeitgeist right now
44:28 are going to
44:31 have I
44:33 think kind of they're like they're the
44:36 last
44:39 generation where where where people will
44:43 know who they are enough to want to
44:45 interact with their
44:47 Avatar but in the future the the
44:50 characters of the people that we kind of
44:52 fall in love with they may not even
44:54 exist
44:56 ever so like the next Tom Cruz could end
44:59 up being
45:01 some actor that never existed and it
45:04 probably won't come from Hollywood it
45:05 will probably come from some janitor the
45:08 equivalent of a janitor or literally a
45:10 janitor who decided to make a film and
45:14 because of his bizarre worldview made a
45:17 film with a character that was just
45:19 [ __ ] weird and everyone else looked
45:21 at it and said that's weird and then the
45:23 world said we love that character
45:28 and maybe that actor ain't an actor
45:31 maybe that actor never existed so I
45:33 think it's it's a fascinating Point
45:36 anyway old oak design company great
45:40 question tapping on mobile it's really
45:43 funny how we thought AI would come for
45:45 regular jobs and it really attacked
45:47 artists huh yeah I don't you know listen
45:49 I don't I don't know that it it attacked
45:51 artists I think what it's what it's
45:53 attacking is the current tasks that
45:56 artists do I do not believe
46:00 that humans will ever not be artistic
46:03 and creative and
46:05 self-expressive I think I think
46:07 self-expression and and the
46:10 imperative to contribute to the world
46:13 and to other people and to have an
46:16 impact on people I don't think that
46:17 imperative ever goes away I think how we
46:21 do it is changing
46:24 radically and so current artists today
46:29 are reacting like Farmers reacted when
46:32 the steam powered tractor showed up on
46:34 their
46:36 Farm Well it can't take the job of the
46:40 the
46:41 Clydesdales maybe the little horses but
46:43 not the Clydesdale oh [ __ ] it's got how
46:47 many
46:49 horsepower there's 16 horsepower in that
46:53 thing well it makes a lot of noise who
46:56 would want to use it anyway
46:58 way right don't take our acting jobs
47:02 don't let AI write
47:07 screenplays I I understand how [ __ ]
47:12 terrifying it
47:15 is but what's going to happen is
47:18 storytellers are
47:20 storytellers and there's going to be
47:22 storytellers that are masterful at
47:25 today's tools
47:27 that are going to ignore
47:30 Ai and they're going to get obliterated
47:33 and that breaks my [ __ ]
47:35 heart and it's kind of why this channel
47:38 exists because it is my hope that those
47:41 storytellers oh thank you very much
47:43 those storytellers that are really good
47:45 at today's
47:46 tools say you know what [ __ ] it maybe I
47:49 should learn this AI maybe I'll go in
47:51 this AI learning lab thing and have a
47:53 Kevin mallister moment or
47:56 two and then they'll slowly start to get
47:58 AI literate and what what they will do
48:01 is they will take their storytelling
48:02 skills and they'll look at these new
48:04 tools and they'll go oh [ __ ] I know how
48:07 to tell a story with these
48:09 tools and they're going to start
48:11 creating incredible works of
48:14 art so you're going to have Master
48:17 storytellers that get left behind you're
48:20 going to have Master storytellers that
48:22 adapt and continue to be Master
48:25 storytellers with new tools
48:28 and then you're going to have Master
48:30 storytellers that come out of [ __ ]
48:35 nowhere what what do you mean she taught
48:38 third grade
48:42 English she she did that she made
48:46 that but she didn't have to blow someone
48:50 on Ventura Boulevard in the back of
48:54 their BS
48:57 doesn't make any sense to me she can't
49:00 be in
49:01 Hollywood she's been nominated for
49:05 what what was the budget on
49:09 that3 $20 subscriptions
49:13 [Laughter]
49:18 what so so there will be new artists
49:22 emerge some artists Will Survive and and
49:25 many artists are going to get their
49:26 asses handed to them because they're
49:31 judging they're judging a thing this is
49:35 I talk about this a lot
49:40 like if you lived in Florida and you
49:43 were a
49:44 politician
49:47 say and season after season your state
49:51 gets obliterated with these [ __ ]
49:54 hurricanes and it pisses people off
49:57 and it and the insurance companies are
50:00 not insuring
50:03 anyone you might be very well
50:06 tempted to pass some laws declaring
50:10 hurricanes are now
50:12 illegal these hurricanes are awful
50:15 they're
50:17 destructive and we've passed a law
50:19 people of Florida you're
50:23 safe the people in Florida are like cool
50:26 well what's that cloud over
50:30 there don't mind that we've got
50:34 laws so this shit's coming whether you
50:38 like it or not whether you think it's
50:39 plagiarism or not whether you think it's
50:41 stealing or not whether you think
50:44 it's it's going to turn creative people
50:46 uncreative because it's
50:48 creative independent of your opinion of
50:51 it it's coming so My Philosophy is why
50:56 not know what's coming
50:58 at a
50:59 minimum know what's coming know what
51:02 you're competing
51:07 against and maybe just maybe you'll have
51:11 a Kevin McAllister moment or two where
51:12 you're like holy [ __ ] this is so
51:15 inspiring I always wanted to make my own
51:17 soundtracks for a movie but I had to
51:19 hire Hans [ __ ]
51:21 Zimmer who came with the packaging thing
51:24 from CA
51:25 [Laughter]
51:28 we had to get Tom Cruz in our movie so I
51:30 had to hire Han simmer to do the
51:33 soundtrack now I can just make one
51:37 cool so we'll see I don't know I don't
51:39 know I don't know I got no answers for
51:42 you just
51:44 hypothetical
51:45 meanderings this
51:47 is thickheaded
51:52 Thursday I don't think they think deeply
51:54 enough to judge anything they're just
51:56 resistance to change that's but that's
51:58 the thing hair growth geek I mean I mean
52:00 change is scary
52:03 and and massive change is really scary
52:10 and I think that I think that ai ai is
52:14 fighting an uphill battle right
52:16 now largely because of Hollywood where
52:20 you
52:21 know most of the world has been told
52:24 that the AI is going to kill us the Bots
52:25 are going to kill us
52:30 and so when you say AI a lot of people
52:33 are afraid of it or they think they've
52:34 got to be technical to use
52:36 it or they heard that it was shitty or
52:39 they heard that it plateaued I had two
52:41 different people tonight go hey what do
52:43 you think of this AI thing it's what you
52:46 think it's still you were excited about
52:48 it a year ago do you where are you today
52:50 you're you're still excited about it
52:52 uh-huh uh-huh and and then did you and
52:56 uh is it is it the chat GPT that's you
52:59 like the chat uhhuh uhhuh yeah yeah and
53:01 then and but do you so here's do you
53:04 think it's going to get any better
53:05 because I you know I I heard it it it
53:07 has it has it kind of plateaued has it
53:10 kind of plateaued right so the narrative
53:12 is out there from [ __ ] Gary Marcus
53:15 and [ __ ] pin heads like that that are
53:18 like you know it's never going to get
53:19 better AI is never going to get
53:24 better oh and so
53:27 and so people are like well okay if it's
53:29 not good now and it's plateaued and the
53:31 hype is over then I don't have to deal
53:33 with it right so I'll just I'll just go
53:35 I'm just going to go have another uh I'm
53:38 going to have a bourbon mule I like the
53:39 bourbon mule they put the lime in it it
53:41 but I don't know why it's in that copper
53:43 cup the copper cup it gets so cold you
53:46 know what I mean I'm going to go get one
53:47 of those so hey good luck with that AI
53:49 stuff you do I that it I apparently it's
53:53 plateaued so hey you know I don't know
53:56 why you put in so so much time on Tik
53:57 Tok but anyway good for
54:00 you I got that that that was essentially
54:02 what I got
54:08 tonight and these like this event I was
54:11 at these are entrepreneur
54:18 CEOs in a room of about 40 CEOs
54:23 tonight I would say
54:28 five to
54:30 seven are doing you know are leaning
54:33 heavy into maybe it's closer to
54:36 10 it was closer to 10 but like 25% of
54:41 the
54:42 room is doing anything substantial with
54:45 with
54:46 AI these are these are startup
54:50 CEOs not CEOs of like you know Fidelity
54:55 startup CEOs
54:57 that number should be way
54:59 higher I got a puzzle piece people I'm
55:03 going to lose my [ __ ] all right I did
55:10 it what's your thoughts about quality
55:13 and experts with
55:14 GPT will we lose
55:18 value and well-qualified
55:21 folks what's your thoughts about quality
55:23 and experts with
55:25 GPT I don't don't quite know what you
55:28 mean re askk that question ocean I like
55:31 I think I know what you mean but I'm not
55:33 quite sure do you mean do you mean is
55:36 chat GPT going to replace subject matter
55:40 experts and and are we going to lose
55:43 people because of
55:46 them
55:48 well I mean
55:51 that's if you can reframe the question
55:53 that'd be cool um
55:57 just just so I know exactly what you're
56:02 asking in inherent in your question
56:07 is is a negative framing of what AI is
56:10 going to do so so I think what your
56:13 question said is is is AI going to get
56:15 good enough that we're going to lose our
56:17 experts that the experts are going to go
56:18 away
56:27 the
56:28 experts the current experts are are
56:32 going to be in
56:34 competition with everyone else in the
56:36 company that now has chat
56:39 GPT so you know the when they have
56:42 greater than PhD level intelligence I
56:44 think they mean yeah well so so here's
56:47 here's the thing ocean here's here's the
56:49 thing about the
56:51 question yes I
56:54 think reasoning
56:57 large language models are going to
56:59 displace current subject matter
57:03 experts but what it's going to also do
57:07 is
57:08 democratize that level of expertise to
57:11 everyone in the
57:12 company so rather you know how you have
57:15 that one douchebag in the in the
57:18 analysis Department that's just like
57:21 only knows one thing he studied he got
57:23 his bachelor's in it and then he got his
57:26 master's in it then he got his PhD in it
57:28 and then he went straight from his PhD
57:31 into the professional workplace and then
57:33 he worked his way up the ladder and now
57:34 he runs the the strategy division for
57:38 the analytics thing for the one [ __ ]
57:40 thing he does and he's in sufferable and
57:44 all he talks about is that one
57:46 thing but if you need an expert with
57:50 that one thing you go to that
57:53 douchebag yeah well here's here's what
57:57 happened in the in the uh the struggle
57:59 between
58:00 Mesopotamia and the lower right you know
58:03 like
58:10 he's now everyone in the company will
58:13 have access to someone as expert as that
58:17 guy at every
58:21 subject so yes that guy will probably
58:24 get his ass handed to him
58:27 but everyone else gets leveled
58:30 up and there was a there was an
58:32 interesting Ethan mik one of the early
58:34 research uh papers that Ethan mullik uh
58:37 published or
58:39 shared showed that in in an organization
58:43 that adopts
58:45 AI the the a
58:48 players increased in capability like
58:51 nine
58:52 points but the c-level players so you
58:55 got your a players they went up a little
58:57 bit your your C Level players went up
59:01 like 40 maybe it wasn't 40% but it was
59:05 significantly higher maybe 24% 30%
59:08 something like that these guys went up
59:10 N9 these guys went up 20 or something
59:12 like that so the the the lower
59:16 performing people improve more so
59:18 basically all boats go up but the the
59:21 lower performing people go up
59:23 more so I think that's the that's the
59:26 the silver lining of of your
59:30 question Ethan mik it's uh e eth an m o
59:35 l l i
59:38 k then they can create their own better
59:40 Ai and it will be exponential yeah well
59:42 that's that's the thing we we just we
59:45 haven't seen the exponential growth yet
59:47 we we haven't hit the we haven't hit the
59:49 exponential curve we don't have a
59:50 [ __ ] clue what's coming um any
59:53 thoughts on AI having ADHD um
59:57 I'll tell you what having ADHD is a
59:59 [ __ ]
1:00:00 superpower um with
1:00:02 AI it just
1:00:05 is there there's parts of it like like
1:00:10 all alwayss brains function you know
1:00:13 there's things that suck about it like
1:00:14 my ability to organize [ __ ] is is
1:00:17 horrible but my ability to just quickly
1:00:20 jump from concept to concept and execute
1:00:24 on them is off the
1:00:29 charts is it's the new you won't have a
1:00:32 calculator with you everywhere you go
1:00:34 yeah exactly that's exactly right they
1:00:37 train smmes exactly like that June Mary
1:00:40 do
1:00:41 they just we're going to go to the
1:00:43 bachelor's then we're going to go to the
1:00:45 Masters then we're go to the PHD then
1:00:47 we're going to go to the consulting
1:00:49 [Laughter]
1:00:52 firm that's why those guys are so hard
1:00:55 to talk to they don't know what there's
1:00:56 nothing else in their head they're like
1:00:58 their [ __ ] knowledge channels this
1:01:02 narrow why should we go to school if we
1:01:05 have GPT why should I go to a lawyer if
1:01:07 I can get a
1:01:09 qualified qualified answers it's a great
1:01:12 [ __ ]
1:01:14 question
1:01:19 um the real answer to why go to school
1:01:22 is to meet
1:01:24 people and to establish Trust usted
1:01:26 relationships and to establish networks
1:01:30 in my
1:01:31 opinion
1:01:33 um what you learn in school is going to
1:01:36 be increasingly
1:01:38 insignificant how you learn to
1:01:41 work how you learn to socialize how you
1:01:44 learn to play
1:01:46 politics how you learn
1:01:49 to lead how you learn to motivate others
1:01:53 I think that's why you go to school
1:01:58 um if the schools are
1:02:01 smart they start teaching toward
1:02:03 aptitudes rather than
1:02:05 skills the problem is we've
1:02:08 got whatever it is
1:02:12 150 160
1:02:14 years of schools that are designed to
1:02:19 produce Factory
1:02:23 workers memorize this [ __ ] do this [ __ ]
1:02:26 show up on time don't question the
1:02:29 teacher we'll spank your ass if you're
1:02:31 out of
1:02:33 line
1:02:36 right and higher ed follows along we're
1:02:40 going to teach you this we're going to
1:02:41 teach you this you're going to
1:02:42 specialize and all you liberal arts
1:02:45 pansies you go do your [ __ ] flower
1:02:47 good luck with that Philosophy
1:02:49 degree we'll be over here specializing
1:02:52 making all the
1:02:54 money that whole game is is about to be
1:02:56 flipped upside
1:03:01 down I've said this in here before but I
1:03:04 find this
1:03:07 astounding the Chief Operating Officer
1:03:10 not the chief marketing officer not the
1:03:12 chief touchy feely empathy officer the
1:03:16 Chief Operating Officer from Black
1:03:20 Rock You Know Black Rock the ones that
1:03:23 own the world and control
1:03:27 everything that guy the
1:03:32 COO said that his next hires are liberal
1:03:36 arts
1:03:42 analysts not Engineers not mbas liberal
1:03:47 arts analysts why is
1:03:52 that because chat gbt is a generalist
1:03:55 tool
1:03:56 liberal arts maor majors are
1:04:00 generalists they look across
1:04:03 disciplines they synthesize from
1:04:07 everywhere like say an llm
1:04:12 does and as the llms get better to
1:04:15 better at the
1:04:16 specialty tools or or activities
1:04:20 tasks we're going to need more and more
1:04:23 people that can look across the tasks
1:04:25 and say What's the the big idea here let
1:04:28 me take my critical thinking skills and
1:04:30 apply that to all these robots that can
1:04:32 do all this work for
1:04:36 me this is we are living in Revenge of
1:04:39 the LI liberal arts major we're in the
1:04:41 beginning of this the the iceberg have
1:04:44 you seen those cool videos where
1:04:45 icebergs flip and like the the [ __ ] that
1:04:49 was down deep comes up and it's that
1:04:51 dark brilliant [ __ ] blue color like
1:04:53 those Halloween blue candies when they
1:04:57 flip that's the liberal arts Majors
1:04:59 coming up and all the Specialists going
1:05:01 to be going
1:05:04 K it's the new you yeah I got that one
1:05:11 already Sir Ken Robinson lectures I
1:05:14 don't know Sir Ken Robinson I am not an
1:05:17 academic I have a degree in
1:05:24 acting the COO of Black Rock will will
1:05:27 always need a doctor who has Hands-On
1:05:30 healthc care
1:05:31 experience yeah listen I listen I don't
1:05:34 think Specialists goes go go away but I
1:05:36 think the
1:05:38 penalty I think the premium that
1:05:40 Specialists get today and the penalty
1:05:43 that generalists get today are about to
1:05:46 flip we'll still need Specialists they
1:05:49 just won't be in in as much demand as
1:05:51 the generalists will so supply and
1:05:53 demand if we need more generalists the
1:05:55 value of generalist goes up and all the
1:05:58 Specialists are like why isn't anyone
1:05:59 hiring me I do this one thing better
1:06:02 than anyone else yeah but now everyone
1:06:05 can do that one thing at like 80% of
1:06:08 your level and that's
1:06:10 fine like that's what employers are
1:06:12 going to
1:06:14 say this is so very much appreciated the
1:06:17 guidance you provide oh thank you very
1:06:18 much I appreciate that precious Dei Demi
1:06:22 thank you so
1:06:24 much um
1:06:27 here's the other caveat to all the [ __ ]
1:06:29 that I'm saying I could be completely
1:06:32 dead ass [ __ ]
1:06:34 [Laughter]
1:06:39 wrong I'm just trying to look at here
1:06:42 here's the way I here's the way I try to
1:06:44 look at this stuff I look at the tools
1:06:47 as they are
1:06:48 today and I make a couple of
1:06:51 assumptions one of the assumptions I
1:06:53 make is that technology will keep
1:06:57 advancing how do I know that cuz it
1:06:59 always [ __ ]
1:07:01 has or America we're going to make it
1:07:04 better let's invest trillions of dollars
1:07:07 and get all our entrepreneurs on it
1:07:10 woohoo middle out compression let's go
1:07:13 let's
1:07:15 go so that's one of them is that
1:07:17 technology is just going to get better
1:07:19 here's the other assumption I make AI is
1:07:21 not going away this is not a hype bubble
1:07:25 in my opinion the hype hasn't even
1:07:27 begun you can't have a hype bubble when
1:07:31 most people in America just because
1:07:34 that's where I am that's my point of
1:07:35 reference when most people in America
1:07:38 don't even know what this generative AI
1:07:40 [ __ ] is 47% of people haven't even heard
1:07:44 of
1:07:45 it you can't be in a hype bubble when
1:07:48 50% of the country doesn't even know
1:07:50 what the [ __ ] it
1:07:53 is so the other assumption I make is
1:07:55 it's not going
1:07:59 away and then what I tried to do is look
1:08:01 at okay if I look at the tech the way it
1:08:04 is today
1:08:07 janky
1:08:09 disjointed all sorts of [ __ ] up
1:08:11 everyone it's just like you can't keep
1:08:14 up with it right I try to keep up with
1:08:16 it in here I can't keep up with it none
1:08:18 of us
1:08:20 can and just assume it gets
1:08:26 one time
1:08:29 better imagine if the video tools were
1:08:32 one time better than they are
1:08:34 now and the large language models are
1:08:37 one time better than they are now like
1:08:38 the jump we had from gpt3 to GPT 4 we
1:08:43 have a similar jump from gp4 to GPT 5
1:08:46 one time that's not assuming an
1:08:49 exponential increase in capability just
1:08:52 a pure linear
1:08:56 One One X over a
1:09:01 year if you essentially double the
1:09:03 capability that we all have in our hands
1:09:05 today in one year what's going to be
1:09:08 possible well a lot and then let's
1:09:11 assume it gets two times better in a
1:09:13 year and then let's assume it gets five
1:09:15 times better in a year and then let's
1:09:17 assume it gets 10 times better in a year
1:09:26 have you played with
1:09:28 grock not the Twitter grock go to
1:09:31 gro.com gq.com
1:09:40 so
1:09:41 this grock is fast AI inference you're
1:09:45 like what the [ __ ] does that mean
1:09:48 inference is when you give it a prompt
1:09:50 and it answers you so this is not
1:09:53 training this is just on the inference
1:09:56 we're using the the new llama 3 uh model
1:10:00 but I'm going to switch this to
1:10:02 3.1 3.1
1:10:07 instant and then I'm going to say
1:10:23 um make me a table comparing the top
1:10:29 10
1:10:32 major conflicts in
1:10:39 history it's done um let's see conflict
1:10:44 death to duration uh
1:10:47 outcome
1:10:50 um major Powers involved let's go uh
1:10:53 let's see um
1:10:58 put the countries
1:11:00 first and the death toll
1:11:04 last boom
1:11:10 done
1:11:12 so loc oh it didn't move location first
1:11:15 it moved it let's see
1:11:21 um um
1:11:26 add a column
1:11:31 for top three
1:11:34 Heroes boom top three Heroes Winston
1:11:39 Churchill Joseph Stalin George Patton
1:11:42 for World War
1:11:44 II I
1:11:46 mean this is essentially
1:11:49 instant instant creation instant editing
1:11:53 um let's go to claw.
1:11:57 if you haven't played with claw. I'm
1:11:58 going to show you something called
1:12:05 artifacts I was talking to a young woman
1:12:07 tonight she's a a freshman at the
1:12:09 University of
1:12:11 Wisconsin she's the CEO of a new company
1:12:13 she's got a technical co-founder but
1:12:15 she's got ideas for interface I said
1:12:17 well you go to grock and you could just
1:12:18 have it make interfaces for you and you
1:12:21 can just experiment with Cod so I can I
1:12:23 can come in here and I can say make me a
1:12:26 clone of the classic
1:12:28 Frogger arcade
1:12:35 game generating so this now starts
1:12:38 writing the code for a Frogger
1:12:42 game which if you've never seen these
1:12:44 things code before you should be saying
1:12:47 well holy [ __ ] but I'm sure it doesn't
1:12:49 run I'm sure it's not going to work
1:12:53 well here we go let's see
1:13:03 okay I died so and then I can go in here
1:13:05 and
1:13:06 say
1:13:10 um make the street street colored make
1:13:13 the street street colored and the water
1:13:16 watercolored and make the Frog seem more
1:13:19 like a
1:13:20 frog and make the cars look more like
1:13:23 cars period also add sound effects and
1:13:34 scoring I didn't learn no fancy computer
1:13:39 language I just talked with my
1:13:43 words you know the word
1:13:50 Abracadabra as I speak I create if you
1:13:54 translate the word abrac abbra it
1:13:57 translates roughly into as I speak I
1:14:04 create that's where we're going there's
1:14:06 Frogger now we have a Frogger looking
1:14:09 dude we have a
1:14:20 score yay
1:14:26 two prompts functional video game I can
1:14:29 now publish
1:14:32 this that button says
1:14:35 publish imagine if I spent 10 minutes on
1:14:40 that imagine if this was one time
1:14:44 better 100% better than it is
1:14:48 now how good would this game
1:14:53 be enjoy seeing attorneys in my company
1:14:55 Kevin mallister over the chat gping and
1:14:58 summarize the fine print and contracts
1:15:01 yeah
1:15:03 exactly haven't tried Claude Sonet 3.5
1:15:06 with artifacts yet but wow what Kyle
1:15:09 demoed here wow
1:15:11 right I mean holy [ __ ]
1:15:22 [ __ ] maybe you don't want to make video
1:15:24 games maybe you want to make a business
1:15:25 dashboard for your Consulting maybe
1:15:28 you've come up with a new way to think
1:15:29 about analyzing a business and you want
1:15:32 to create an interactive dashboard for
1:15:34 that business do it the same way I just
1:15:37 did it go to Claude and ask it to make
1:15:39 an interactive dashboard upload a
1:15:41 spreadsheet and say make an interactive
1:15:43 dashboard out of this that I can run my
1:15:45 business on and it'll it'll do some
1:15:47 version of it will it be good probably
1:15:50 not it's gonna be jankier than [ __ ] but
1:15:53 again where I'm looking is what if these
1:15:56 tools were 100% better than they are
1:15:58 right now a year from
1:16:00 now it's my contention that they're
1:16:02 going to be significantly better than
1:16:05 onx better but even if they're just onx
1:16:12 better what's
1:16:16 possible Everything
1:16:19 Changes Everything
1:16:22 Changes let's go look at if you weren't
1:16:25 here last
1:16:32 night the new advanced voice model from
1:16:37 which AI is this that AI was Claude
1:16:39 claw. from
1:16:51 anthropic let me get the latest ones see
1:16:53 if we can find anything new
1:16:59 here are 12 crazy examples here are 10
1:17:02 wild
1:17:03 examples I'm going to I'm going to
1:17:05 boycott any any tweet thread that says
1:17:07 here are 12 wild
1:17:09 anythings so I'm going to ignore
1:17:12 her 12 wild examples it's wild and wacky
1:17:16 stuff it's fantastic Bob tell him what
1:17:19 he's
1:17:21 won oh yeah this is good this is a good
1:17:24 one
1:17:26 hey I want you to count from 1 to 10
1:17:28 really really fast as fast as you can 1
1:17:31 2 3 4 5 6 7 8 9 10 okay now even
1:17:38 faster okay now louder and faster and
1:17:41 count up to 50 1 2 3 4 5 6 7 8 9 10 11
1:17:45 12 13 14 15 16 17 18 19 20 21 22 23 24
1:17:48 25 26 27 28 29 30 31 32 33 34 35 36 37
1:17:53 38 39 40 41 42 43 44 45 46 47 48 49 50
1:17:59 hey I want you to did you hear it took a
1:18:01 breath at
1:18:06 30 this is the new GPT voice
1:18:10 model it's like talking faster cuz he
1:18:13 asked it to talk faster it's breathing
1:18:15 it's responding within I think it's 350
1:18:20 milliseconds the average human response
1:18:22 is 260 or 280 milliseconds
1:18:25 so we're we're within a tenth of a
1:18:28 second of human response times
1:18:33 here
1:18:38 um what's this
1:18:42 one but what would it sound
1:18:45 like it would sound like twinkle twinkle
1:18:50 little star how I wonder what you
1:18:56 are so it can do
1:19:01 that pain incredible micro machine
1:19:03 marketpl set there no police station
1:19:05 Fire Station restaurant service station
1:19:06 and more perfect pet Portables to take
1:19:07 any place and there are many miniature
1:19:08 places to play with and each one comes
1:19:09 with its old special edition micro
1:19:10 machine vehicle and fun fantastic
1:19:11 features and miraculously move raise the
1:19:13 B to the airport Marina man the gun at
1:19:14 the Army Base clean I don't know what
1:19:16 they're doing there but cool hey I want
1:19:19 you to do your best impression of uh
1:19:21 Bugs
1:19:22 Bunny he what's up Duck got any carot
1:19:26 that one was crappy tell me an exciting
1:19:28 action thriller story with sci-fi
1:19:30 elements and create Atmosphere by making
1:19:32 appropriate noises of the things
1:19:33 happening using
1:19:37 onomia in the neon lit city of neotokyo
1:19:41 bounty hunter Kira was chasing a rogue
1:19:43 AI that had escaped into an Android body
1:19:47 the rain poured down in sheets making
1:19:49 the streets gleam like wet obsidian she
1:19:52 darted through the back alleys her boots
1:19:54 split flashing through
1:19:56 puddles suddenly the AI is making sound
1:19:59 effects tell me
1:20:01 an what was that one 12 wild examples oh
1:20:05 this this example I don't know if Cam
1:20:07 was on when this was on amazing Pokemon
1:20:10 Yellow original Japanese version but I
1:20:12 can't really speak Japanese so could you
1:20:14 help me translate the
1:20:17 text that's awesome I love to help with
1:20:20 translations go ahead and show me the
1:20:22 text and we'll work through it
1:20:25 together this is the classic Professor
1:20:28 Oak introduction he's saying hello there
1:20:31 welcome to the world of Pokémon ready
1:20:34 for your
1:20:35 adventure Professor Oak is ready to
1:20:37 guide you through your journey it it
1:20:40 knew what Professor Oak was it spoke
1:20:43 Japanese and translated the Japanese it
1:20:47 understands that this camera was pointed
1:20:49 at a Game Boy and he just said I'm
1:20:51 getting ready to play this game and I
1:20:52 don't know Japanese can you help sure I
1:20:54 can help
1:20:57 help you tell me this isn't going to
1:21:00 change
1:21:04 things you
1:21:06 can't but
1:21:09 again so few people know this is
1:21:12 coming that it's [ __ ]
1:21:16 shocking what's this
1:21:20 one we saw that one
1:21:25 oh yeah this one's pretty
1:21:33 good hey can you recite the beginning uh
1:21:37 the beginning chapter of uh A Tale of
1:21:39 Two Cities uh but pretending that you're
1:21:42 about to fall
1:21:44 asleep sure
1:21:46 thing
1:21:48 well it was the best of
1:21:51 times cam kaken this is the these demos
1:21:54 like that Japanese the thing where it
1:21:57 was he was holding the thing looking at
1:22:01 the Japanese GameBoy game and and
1:22:04 interpreting it um is this is the new
1:22:07 GPT advanced voice that also had the
1:22:11 vision turned on the vision
1:22:13 capability so this is this is like the
1:22:17 the level of accessibility here is
1:22:20 staggering like staggering like
1:22:23 staggering I can't I mean I'm I'm so
1:22:25 excited to hear what what you end up
1:22:27 doing with it and what you know what
1:22:29 people end up doing with it of times it
1:22:32 was the age of wisdom it was the age of
1:22:36 foolishness it was the Epic of belief it
1:22:40 was the Epic of incredulity yeah it's
1:22:44 amazing okay now continue but pretend to
1:22:47 be on stage acting
1:22:50 boldly it was the time of the spair it
1:22:54 was the
1:23:03 time oh
1:23:06 man what's this
1:23:10 one our native phone assistant all right
1:23:13 uh can you count from 1 to 100 really
1:23:16 fast and really
1:23:18 loud sure here we go 1 2 3 4 5 6 7 8 9
1:23:23 10 11 12 13 14 15 okay now stop sing a
1:23:27 song I can't sing but I'd be happy to
1:23:30 chat about music or go ahead and hum a
1:23:34 song uh just 5 Seconds of humming a song
1:23:36 is fine and tell me the name of the
1:23:39 song okay here
1:23:43 goes that was Twinkle Twinkle Little
1:23:46 Star you barely hum for 5 seconds at
1:23:51 least ah I see well I'll give it another
1:23:56 [Music]
1:23:57 [Laughter]
1:24:01 shot what song was
1:24:04 that that was twinkle twinkle little
1:24:08 staric all right go
1:24:11 ahead all right
1:24:14 um
1:24:16 anyway so that's coming and
1:24:21 then have you seen this [ __ ] well oh
1:24:24 actually let's go to
1:24:26 um let's go to Deco
1:24:32 here and let's go to
1:24:35 create and I'm going to I'm going to
1:24:37 type in
1:24:39 here okay I'll type slow I'm I'm going
1:24:42 to type okay
1:24:44 um
1:24:46 a
1:24:51 vast expanse
1:24:55 of
1:25:02 a
1:25:07 galaxy inside oh well again I am logged
1:25:12 in
1:25:16 [ __ ] what's going on
1:25:31 create the vast expanse of a galaxy
1:25:35 inside of
1:25:40 a unsafe content really whatever inside
1:25:46 of a snow globe
1:25:55 on top
1:25:59 of
1:26:03 a
1:26:05 tower
1:26:07 of River
1:26:14 Rocks in the
1:26:16 middle of a stream
1:26:28 so that's kind of what I was looking
1:26:30 for okay
1:26:33 so this
1:26:36 thing is generating images be before I
1:26:40 can type out the as I'm typing out this
1:26:42 sentence it's generating images in real
1:26:45 time now check out what I can do with
1:26:47 this there's this thing here called a
1:26:50 station this is Deco here app or uh www.
1:26:54 decco here. a and I'm going to go to
1:26:58 this station thingy and I'm going to
1:27:00 click on
1:27:02 it oh I can't do it from here dang it I
1:27:04 gotta I got to upgrade this
1:27:08 account if you have a paid account you
1:27:10 can turn this into a station but I'll
1:27:11 show you another way to do a station so
1:27:13 anyway you can come in here and you can
1:27:14 prompt images you can upscale them you
1:27:16 can turn them into videos it just sort
1:27:19 of makes infinite variations of them
1:27:26 crazy
1:27:28 right I'm going to go to the explore tab
1:27:31 here and this is just other people
1:27:33 making [ __ ] making images right now I
1:27:35 can take any one of these images that I
1:27:37 like like I like the style of this
1:27:39 astronaut right that's cool I can now
1:27:43 click this create station
1:27:46 button and this is now going to create a
1:27:49 station like a radio station a radio
1:27:52 station plays songs passively you can
1:27:56 just sit back and listen this thing is
1:27:59 generating original images about an
1:28:02 image a
1:28:04 second and you can just sit back and
1:28:06 watch it do its thing and if you like
1:28:09 one you can click on it I can upscale it
1:28:12 I can turn it into a
1:28:14 video I can share it or I can create a
1:28:17 station out of that
1:28:28 so that's
1:28:30 that
1:28:33 um let's
1:28:37 go have you seen mid
1:28:50 Journey these were all things I made in
1:28:53 like I don't know
1:28:55 10 minutes here 10 minutes there little
1:28:58 add here little add
1:29:03 there you're like well you must have
1:29:06 used quite an incredible prompt there Mr
1:29:08 Shannon let's see here the the entire
1:29:12 prompt was
1:29:17 pipeline here the entire prompt was
1:29:21 Upstate here the entire prompt was
1:29:23 upheaval
1:29:28 upheaval
1:29:30 upheaval
1:29:32 upheaval any one of these I can go in
1:29:35 and I can say oh that's really cool let
1:29:37 me see a bunch of variations of that
1:29:49 one can we use this and post a Tik Tok
1:29:52 can we use what what is this radio you
1:29:56 speak of Click flick Paul that was in
1:29:58 Deco here it's their their new thing
1:30:00 called
1:30:05 stations okay these are really cool
1:30:07 images so that's a cool one that one's
1:30:09 really cool right and then that one's
1:30:12 really cool so for each of these I can
1:30:15 now go over here and upscale them so I
1:30:17 can go upscale creative because we want
1:30:19 to we want to make it super creative and
1:30:21 I'm going to go to that one and I'm
1:30:22 going to upscale that one creative
1:30:27 that's pretty groovy right let's go look
1:30:30 at what it does so it's starting you can
1:30:33 see the little ghost of the image in
1:30:35 there now the diffusion is happening the
1:30:37 the d diffusion is
1:30:45 happening 31% complete 31%
1:30:49 complete 47% complete we'll get here in
1:30:52 a second it's going to be so good you're
1:30:55 goingon to be like oh Kyle that was so
1:30:56 cool that was bitching Kyle that thing
1:30:59 you did with that dinosaur is super cool
1:31:01 hey hey dude dude dude dude dude do you
1:31:05 know what's cool when you made that
1:31:07 dinosaur and it had like the horns that
1:31:09 was so cool can we upload our own images
1:31:12 and work on them using this tool um yes
1:31:15 you can upload images and have it
1:31:18 describe them and then have it recreate
1:31:20 them you can upload images here's a cool
1:31:23 thing you can do in mid Journey
1:31:24 here's a bunch of images I've
1:31:26 uploaded so here's like a crazy one that
1:31:30 like a a stable diffusion version of me
1:31:33 like in
1:31:34 neotokyo and then here's a let let's get
1:31:39 something very different
1:31:45 here we'll do this one we this crazy
1:31:48 bosot looking thing that was I think it
1:31:50 was
1:31:51 generated so it's going to basically
1:31:54 take those two images as
1:31:58 inputs and make a new a new set of four
1:32:01 Images no prompt at
1:32:04 all no prompt at
1:32:07 all so we'll see what it it looks like
1:32:10 they should be pretty
1:32:12 cool I'm
1:32:15 guessing so yeah you can oh they're
1:32:19 awesome those are [ __ ] bitching
1:32:21 [Laughter]
1:32:31 [ __ ] great there's your new superhero
1:32:33 let's upscale that one
1:32:43 creative that's doing its thing let's
1:32:45 see which of these we like better better
1:32:47 do we
1:32:48 like that one or do we like that one I
1:32:51 think that one's more Dynamic okay so
1:32:53 we're going to download this
1:32:56 boom we going come over
1:32:59 here we got our little superhero with
1:33:01 the spider it's the original Spider-Man
1:33:04 this is this is janky Spider-Man this is
1:33:07 spider
1:33:08 Jank spider Jank spider Jank not quite
1:33:12 as good as a Marvel comic but it's
1:33:14 acceptable for AI work spider Jank
1:33:17 spider Jank
1:33:26 [Laughter]
1:33:30 what is my purpose on the planet my
1:33:32 purpose on the planet is to do stup to
1:33:36 do stuff that's so [ __ ] stupid that
1:33:39 you're willing to go oh [ __ ] if he can
1:33:41 do that I could I could I can smash two
1:33:44 images
1:33:45 together all right so there's spider
1:33:49 Jen love him little tub he hasn't he
1:33:53 hasn't worked out he the he's got some
1:33:55 issues right now his his uh his web his
1:33:59 web keeps breaking when he's trying to
1:34:01 swing from building to building it's not
1:34:03 going well so he's working on a new
1:34:05 formulary for the old uh the old spider
1:34:08 web till he till he gets on the
1:34:13 OIC so okay so let's say you thought
1:34:16 those images were cool and you're like
1:34:19 man sure would be cool if I could turn
1:34:21 those into a movie and then you go over
1:34:23 this thing called clling ai.com
1:34:27 to their swell little image to video
1:34:31 thing and you're like you know what
1:34:33 would be cool oh you know it would be
1:34:36 really cool is if they had a capure
1:34:37 where it's like a little puzzle piece
1:34:38 and you had to slide it over and if you
1:34:40 got it just one pixel off it would tell
1:34:42 you to [ __ ] off and then you'd get angry
1:34:45 and you'd yell at everyone for an hour
1:34:47 that'd be cool so we go to
1:34:50 videos and then we go to image to video
1:34:53 and then we click here
1:34:55 and then we go find one of those images
1:34:57 that we just
1:34:58 made yeah that one's cool remember that
1:35:01 one we just made that you know how we
1:35:03 made it I don't know
1:35:05 by doing stupid
1:35:09 [ __ ] and then we upload that into this
1:35:12 thing and then we say um
1:35:15 large
1:35:18 monster
1:35:20 rides in pain
1:35:24 during the
1:35:26 battle and then we go
1:35:30 generate and this is going to go make us
1:35:32 a a video of that and if you're like
1:35:34 well that suck I heard clling was a
1:35:36 Chinese company and they really suck you
1:35:38 shouldn't use Chinese company I'm like
1:35:39 fine and then I go over to Runway ML and
1:35:42 they're like o introducing gen 3 Alpha
1:35:45 and I think they actually just I hope
1:35:48 they launched it try
1:35:50 Runway they've got a new gen 3 Alpha
1:35:54 turbo is coming that's seven times
1:35:56 faster so you might actually be able to
1:35:59 make enough videos but if I say get
1:36:00 started here and I come in and I come
1:36:04 and and I get my spider Jank there's
1:36:07 spider
1:36:10 Jank let's
1:36:13 see
1:36:15 go the superhero named spider Jank
1:36:26 casts a
1:36:29 spell
1:36:31 with his spider magic
1:36:36 [Laughter]
1:36:45 wand 5 Seconds
1:36:48 generate all right so this does it
1:36:50 pretty quick but it's going to be like
1:36:53 30 seconds here we'll go back over to
1:36:55 cing cing cling
1:37:01 clling anyway spider J's going to come
1:37:03 to life
1:37:07 here abracapocus
1:37:11 exactly so why am i showing all this
1:37:14 [ __ ] why I'm showing all this [ __ ] is
1:37:17 it's highly likely that even people that
1:37:20 come in
1:37:21 regularly may not know that this is
1:37:23 possible
1:37:25 that some of these things are
1:37:27 possible even people that have played
1:37:29 with these tools if you haven't played
1:37:31 with these tools in the past 2 or 3
1:37:33 months they have likely gotten way
1:37:35 better than they were when you tried
1:37:37 them before the evolution speed of all
1:37:39 this is mind-boggling Nicholas that it
1:37:42 is mindboggling it is
1:37:45 staggering and and the fact that there
1:37:47 is a narrative out on Twitter right now
1:37:49 that says all these tools have plateaued
1:37:51 and they're not getting any better and
1:37:52 this [ __ ] was a waste of time and this
1:37:55 was all overhyped [ __ ] is is
1:37:58 astounding to me it's astounding to
1:38:02 me let's watch spider
1:38:05 Jank spider Jank spider Jank oh yeah I
1:38:10 don't know why his head's not
1:38:12 moving but his little his little magic
1:38:16 wand mangled the spider
1:38:24 hopefully cing did better with our
1:38:26 little our little thing all right well
1:38:27 that's doing
1:38:29 that if you didn't think that was
1:38:32 crazy you seen this teacher turns the
1:38:36 tables Broadway that's fine let's go
1:38:38 let's wait do I need to reset something
1:38:39 here reset
1:38:52 create secret meetings of a retired
1:38:56 superhero symphonic all right let's do
1:38:59 that we'll autogenerate the lyrics we're
1:39:01 going to do a two-minute
1:39:03 clip we're going to make a retired
1:39:06 superhero song boom
1:39:11 create have y'all seen this [ __ ] or
1:39:14 heard this
1:39:17 [ __ ] have you heard that Tik Tok video
1:39:20 of the JD Vance [ __ ] the couch cowboy
1:39:23 song
1:39:25 [ __ ]
1:39:26 brilliant that was this
1:39:30 stuff thank you for doing this I'm
1:39:32 amazed awesome cam
1:39:33 Katen no I I know it's
1:39:37 amazing what's this one this one is Udo
1:39:41 there's another one called sunno this
1:39:43 one's
1:39:44 udio you tell me that's udio any next
1:39:48 time I hear someone say udio I'm going
1:39:50 to I will firmly Shake wig my finger at
1:39:54 them all right so we just asked it to
1:39:57 make a song it made us two here's
1:40:02 [Music]
1:40:07 one let's
1:40:10 [Music]
1:40:18 see yudo and sunno are music AI apps yes
1:40:32 remember I said before about maybe I
1:40:34 could make a movie and I don't have
1:40:36 to have someone write the soundtrack for
1:40:39 me maybe I could do it myself I just
1:40:41 [ __ ] did
1:40:43 one I could
1:40:46 hit how's our video coming let me go
1:40:48 look at my Runway videos
1:41:04 [Music]
1:41:09 oh wait damn it that was so good where
1:41:13 where did that tab go where's my tab I
1:41:17 lost my
1:41:19 tab there it is why did that stop why
1:41:23 did you
1:41:27 stop oh did I lose my internet are you
1:41:30 all
1:41:31 gone hello hello maybe my app just maybe
1:41:35 I ran out of browser
1:41:39 [Music]
1:41:49 memory that works right
1:41:55 [Music]
1:41:59 um oh yeah it's it's janking out the
1:42:03 here let me go find another good
1:42:06 video that's not a good
1:42:21 one let's see oh there's our
1:42:26 monster let's go back here
1:42:40 [Music]
1:42:57 using Over the Rainbow progression it is
1:42:59 using Over the Rainbow progression isn't
1:43:02 it but like we just did
1:43:05 that with like no intention other than
1:43:09 want to see some cool
1:43:14 [ __ ] I mean I don't know about
1:43:18 you I find this
1:43:21 staggering let's hear the other one one
1:43:23 it made for us
1:43:25 [Music]
1:44:02 crazy right
1:44:11 [Laughter]
1:44:14 so you tell me this [ __ ] isn't creative
1:44:17 you tell me this [ __ ] is just predict
1:44:19 predictive tokens and it can't possibly
1:44:23 generate anything
1:44:30 creative have you ever done anything
1:44:38 creative cuz what my experience is is
1:44:45 that these tools accelerate my
1:44:47 creativity to the point that I can
1:44:50 barely keep up with it anymore
1:44:54 like I I would say I am orders of
1:44:57 magnitude more creative than I've been
1:45:00 for most of my life on a consistent
1:45:03 level over this
1:45:05 past 18
1:45:08 months and it just keeps getting better
1:45:12 and better and
1:45:17 better new activity in the irregular
1:45:20 Channel not an AI image open to read
1:45:23 this is a screenshot for my son's
1:45:26 syllabus for his psychology class for
1:45:29 his upcoming junior year in high school
1:45:31 the teacher has made AI part of the
1:45:35 content they are teaching I'm so excited
1:45:38 for him and proud of the district for
1:45:40 allowing it this is [ __ ]
1:45:43 huge class attendance is mandatory and
1:45:46 required missing three classes will
1:45:49 result in a non-compliance letter this
1:45:51 is this is uh Amelio's wife's worst
1:45:56 nightmare class Amelio's wife listen to
1:45:59 this this is how schools work class
1:46:02 attendance is mandatory and
1:46:04 required missing three classes will
1:46:06 result in a non-compliance letter for
1:46:08 missing a required
1:46:11 meeting you will get Dem merits for
1:46:14 being tardy to class we will meet a
1:46:18 total of three times a week two days
1:46:20 we'll be going over content and one day
1:46:23 will be exploring the use of AI in an
1:46:26 actual School
1:46:28 syllabus it's a [ __ ]
1:46:32 miracle how to prompt is a serious skill
1:46:35 it is a serious skill but it's not a
1:46:37 required skill M blue I would
1:46:40 argue
1:46:42 um
1:46:44 there's like like the decohere stations
1:46:47 you don't have to prompt at all a lot of
1:46:49 what you can what
1:46:51 required um a lot of what you can do in
1:46:54 mid Journey doesn't require any
1:46:56 prompting now understanding prompting is
1:46:59 really
1:47:00 good um and and you can be better better
1:47:04 than a lot of other people if you're
1:47:06 good at prompting but it's not going to
1:47:07 be a requirement these these tools are
1:47:09 going to get way more sophisticated in
1:47:12 the action they take on our
1:47:14 behalf um thank you for sharing that
1:47:16 Danielle that's [ __ ]
1:47:18 huge in fact I'm going to give it a
1:47:20 little like and I'm going to give it a
1:47:23 this is
1:47:27 [ __ ]
1:47:32 huge um if you're wondering where we are
1:47:35 I'm at this place called the AI Fon we
1:47:39 pronounce it like that if you would like
1:47:41 to join the AI Salon there's the URL
1:47:44 that's going to take you to our website
1:47:45 you can read about it and then if you
1:47:47 click the little button that says join
1:47:49 the community that's going to take you
1:47:51 to this Mighty networks page
1:47:54 and the first place it's going to drop
1:47:57 you off is a little section called
1:48:00 Welcome to the
1:48:02 salon and you can read about what we're
1:48:04 up to and you can read about this little
1:48:07 Journey play first mindfully create
1:48:09 generously lead that journey is the
1:48:11 journey to AI
1:48:13 literacy and we've got values like
1:48:15 curiosity and playfulness and empathy
1:48:18 and bravery and
1:48:20 generosity and that's who the people are
1:48:23 that are in this community so if that
1:48:24 sounds cool to you sign up doesn't cost
1:48:27 you anything and then under the
1:48:29 Community section the first link says
1:48:32 introduce
1:48:34 yourself and I want you to take a couple
1:48:38 of our values
1:48:41 of
1:48:44 bravery and
1:48:46 generosity and I would request that you
1:48:49 generously introduce yourself to the
1:48:51 community you use your real name this
1:48:54 isn't Discord we're not a bunch of nft
1:48:58 bros use your real name Serge introduced
1:49:03 himself tell us who you are tell us what
1:49:06 you're excited about with AI or if
1:49:07 you're scared of AI or if you don't have
1:49:09 a [ __ ] clue about AI but you're
1:49:11 you're going to
1:49:12 try and what you'll
1:49:14 find is that this isn't a
1:49:17 clicky
1:49:20 douchy Elite [ __ ]
1:49:25 experience that it really is a group of
1:49:29 people who are here because they want to
1:49:31 be here and they're
1:49:33 optimists and they're willing to play
1:49:35 and they do it with curiosity and
1:49:37 playfulness and empathy and bravery and
1:49:40 generosity it's it's a remarkable
1:49:42 community so come in and do that and
1:49:45 then if you scroll all the way toward
1:49:46 the bottom there's all sorts of fun
1:49:48 things you can check out but there's a
1:49:51 little area called Community Club
1:49:54 and one of the community clubs is the AI
1:49:56 Irregulars club and that's us the
1:49:59 Irregulars is anyone that shows up
1:50:01 anyone that is weird enough to show up
1:50:03 to this channel night after night after
1:50:06 night they
1:50:08 claim that they're not weird they're
1:50:12 irregular so if you show up night after
1:50:14 night you become an
1:50:17 irregular and you get to come hang out
1:50:19 in the club it's
1:50:21 cool so
1:50:23 anyway that's awesome thank you for
1:50:25 sharing that Danielle really good really
1:50:28 cool really cool we may may or may not
1:50:31 be a cult
1:50:36 however oh my God it's so
1:50:40 true all right um so hope you had fun
1:50:45 tonight I didn't this was a good example
1:50:49 of Chad add
1:50:53 every night's a good example of Chad
1:50:55 add wherever my intention is at the
1:50:58 beginning of the evening sometimes we
1:51:00 get there sometimes we
1:51:01 don't I actually wanted to try remixing
1:51:04 in in udio tonight we did a little bit
1:51:07 of udio those those film scores for the
1:51:11 for the superhero Thing were were pretty
1:51:13 [ __ ]
1:51:14 good
1:51:18 um so couple of requests Lord digital
1:51:21 Gods thank you for supporting me you're
1:51:23 you're consistently generous and I
1:51:25 really really appreciate it means a lot
1:51:31 um follow my
1:51:33 channel subscribe if you want to support
1:51:35 the
1:51:36 channel just keep coming back just keep
1:51:39 coming back being a regular 25k is
1:51:41 within range we're at 20,000 likes
1:51:44 people get tappity
1:51:46 tapping get your if Wake the grandkids
1:51:50 and tell them to come in here with their
1:51:51 little digital native fingers and tell
1:51:54 them to start tapping and they're like
1:51:57 Mommy I'm tired just keep
1:52:00 tapping we got to get to 25,000 it's not
1:52:04 it's not
1:52:06 unattainable and you
1:52:09 know it's not your finger just have them
1:52:11 do
1:52:17 it all right
1:52:20 um so thank you Irregulars thank you
1:52:25 mods tell us again about that Greek
1:52:29 [Music]
1:52:40 dinner in a westly
1:52:44 direction this car is my
1:52:48 [Music]
1:52:49 train I've been driving I've been
1:52:52 wondering
1:52:54 what I'm running from
1:52:56 [Music]
1:52:58 again I feel like an 8-year-old
1:53:02 man holding on to
1:53:07 29 and up ahead on that
1:53:11 horiz is it California line
1:53:17 [Applause]
1:53:20 [Music]
1:53:23 ahead of trucks carrying a wide
1:53:25 load pre house good
1:53:30 half cute little front door and two
1:53:33 windows my
1:53:34 love ain't sure whether the crow should
1:53:39 laugh are we starting
1:53:43 over all right good people who's in the
1:53:47 house tonight Wolf Man Clint in the
1:53:48 house Joy py great to see you be Not
1:53:51 Afraid thank you as always Brandon same
1:53:53 to you forever hooked thank you thank
1:53:55 you thank
1:53:56 you look what we can do when we work
1:53:59 together oh how' we get 27,000 W way to
1:54:04 go tappy tappers you're amazing I don't
1:54:06 know what that means in Tik Tok World it
1:54:08 doesn't seem to have any material effect
1:54:10 but it is cool that we got the
1:54:13 27,000 um let's see forever hooks in
1:54:16 here Debbie love the duet thank you very
1:54:18 much yeah Champ's the best isn't he are
1:54:20 we doing 30 minute goodbyes again
1:54:22 apparently
1:54:23 Joey good night Tobias good night steo
1:54:26 peace out from Down Under Firefly in the
1:54:31 house ao's wife who did the artwork
1:54:33 tonight I don't know let me see if I put
1:54:36 it in the file name Danielle this was a
1:54:39 Danielle
1:54:41 Masterpiece thank you Danielle for
1:54:44 creating the good good
1:54:46 work do I get a good night if I just got
1:54:49 here oh an Murphy very disappointing we
1:54:51 just went over the requirements for
1:54:52 class classes are
1:54:54 required you will get a a letter of what
1:54:58 did they call that a letter of something
1:55:00 wasn't good and demerits if you're tardy
1:55:03 it's but we will be covering AI cam
1:55:07 katkin thank you Kyle can't wait to
1:55:08 revisit these tools exactly right just
1:55:11 it's just like just go play with them
1:55:13 and see how they're doing they're pretty
1:55:15 [ __ ] good that cling AI is not
1:55:18 bad um Kelly Bosch who if if if I'm you
1:55:23 know if I'm going to pick one person to
1:55:26 have an opinion about these text to
1:55:29 video tools and image to video tools
1:55:31 Kelly BOS says Runway ml Gen 3 is by far
1:55:37 the best video tool out there Call Me Al
1:55:40 so late so late so disappointing Al what
1:55:44 are we going to do with you
1:55:46 H all right well thank you for coming
1:55:49 anyway you missed a good one it'll be up
1:55:51 on YouTube at some point Point probably
1:55:53 this weekend 29,000 where 30,000 we hit
1:55:57 30,000 all right Liz the Lush is in the
1:56:00 house good to see you Wolf Man Clint all
1:56:03 right
1:56:05 um who else we got who did I
1:56:08 miss Marina she recall
1:56:17 Tech spin B3 is in the house good to see
1:56:20 you sir or madame I don't really know
1:56:23 which guess it doesn't really matter
1:56:26 does it all right that's everyone got
1:56:29 everyone cuno I miss cuno Joy prie
1:56:32 thanks Mo and Kyle yep okay everybody um
1:56:37 today's Thursday that means tomorrow
1:56:40 night's Friday night date night if you
1:56:43 enjoy
1:56:45 this but you're like I couldn't really
1:56:49 watch this during the work day there's a
1:56:51 little cussing it's a a little loud and
1:56:53 there's a dog barking in it Fridays at
1:56:57 11:00 a.m. mountain time I do an AI
1:57:01 office hours on LinkedIn so if you go to
1:57:04 my LinkedIn profile I'm Kyle Shannon on
1:57:06 all the socials including link LinkedIn
1:57:09 tomorrow morning morning I'll post a a
1:57:13 thing on my Channel about the AI office
1:57:17 hours and so come hang out we talk for
1:57:20 an hour it's a it's a group of people
1:57:23 that um have turned into kind of an AI
1:57:27 Mastermind it's it's a really
1:57:29 interesting diverse group of people
1:57:31 doing very interesting things but all
1:57:34 all to a person willing to share their
1:57:37 ideas and their experiences and their
1:57:40 frustrations and what works for them and
1:57:42 what doesn't work for them it's really
1:57:44 cool so if you want
1:57:47 to start to build relationships in this
1:57:50 community office hours are a good way to
1:57:52 do that all right the link it's LinkedIn
1:57:55 it's my profile I don't know it's
1:58:00 somewhere Brandon may have it Brandon
1:58:03 Brandon and Vicky manage my brain better
1:58:05 than I manage my brain LinkedIn and I
1:58:08 heard that all the Tik toks are on
1:58:09 YouTube too yeah the YouTube channel for
1:58:12 the Tik toks is um AI learninglab dtt
1:58:18 for Tik Tock AI learning laab dtt is the
1:58:22 YouTube YouTube channel and I've got all
1:58:24 of them up there through like two weeks
1:58:27 ago or a week and a half ago something
1:58:28 like that all
1:58:30 right office hours is a weekly treat to
1:58:32 myself
1:58:33 nice okay and then tomorrow night's
1:58:37 Friday night date night all right so
1:58:39 bring a date or be a date and I will see
1:58:41 you tomorrow had fun tonight thanks
1:58:43 everybody